bluuebunny/crossref_metadata_2025 huggingface dataset:
In-Depth Collaboratively Supervised Video Instance Segmentation
Authors: Deng Yunnan , Zhang Yinhui , He Zifen
Published: January 2025

Video instance segmentation (VIS) is plagued by the high cost of pixel-level annotation and defects of weakly supervised segmentation, leading to the urgent need for a trade-off between annotation cost and performance. We propose a novel In-Depth Collaboratively Supervised video instance segmentation (IDCS) with efficient training. A collaborative supervised training pipeline is designed to flow samples of different labeling levels and carry out multimodal training, in which instance clues are obtained from mask-annotated instances to guide the box-annotated training through an in-depth collaborative paradigm: (1) a trident learning method is proposed, which leverages the video temporal consistency to match instances with multimodal annotation across frames for effective instance relation learning without additional network parameters; (2) spatial clues in the first frames are captured to implement multidimensional pixel affinity evaluation of box-annotated instances and augment the noise-disturbed spatial affinity map. Experiments on YoutTube-VIS validate the performance of IDCS with mask-annotated instances in the first frames and the bounding-box-annotated samples in the remaining frames. IDCS achieves up to 92.0% fully supervised performance and average 1.4 times faster, 2.2% mAP higher than the weakly supervised baseline. The results show that IDCS can efficiently utilize multimodal data, while providing advanced guidance for effective trade-off in VIS training.
Machine Learning-Driven Approaches for Advanced Microwave Filter Design
Authors: Javadi Sara , Rezaee Behrooz , Nabavi Sayyid Shahab , Gadringer Michael Ernst , Bösch Wolfgang
Published: January 2025

This study introduces a machine learning (ML)-driven approach to next-generation microwave filter design that enhances both accuracy and efficiency via repeated refinement. The approach includes generating a coupling matrix from filter specifications, followed by predicting physical parameters such as iris widths and resonator lengths using ML models, especially with the XGBoost algorithm. These predictions are validated and tuned via simulations and iterative adjustments to ensure meeting the performance criteria, such as center frequency, bandwidth, and return loss. For tuning, in this work, we used Simulated Annealing to extract a coupling matrix to reduce errors and hence allow accurate further optimization. The predicted values before optimization are more than 90 percent accurate compared to the optimized values, significantly reducing the optimization time and the number of iterations required. To demonstrate the procedure’s validity, third-, fourth-, and fifth-order filters are implemented, which shows significant improvements in design efficiency and accuracy.
Investigation of the Structural Characteristics of the Gas Diffusion Layer Using Micro-X-Ray Computed Tomography
Authors: Shi Qitong , Feng Cong , Li Bing , Ming Pingwen
Published: January 2025

Due to its low stiffness, the gas diffusion layer (GDL) exhibits significant deformation under a compression service condition, thereby exerting a nonlinear and strong coupling influence on fuel cells’ performance. Therefore, it is of great practical significance to study the structural characteristics evolution of GDLs. The microstructure of the GDLs was obtained using micro-X-ray computed tomography in this study, and their structural properties were analyzed comprehensively and quantitatively. The morphology of GDLs exhibited significant variations across manufacturers due to disparities in the materials and manufacturing processes. The distribution of the pore equivalent diameter and sphericity in GDLs conformed to a normal distribution, with irregular shapes. The fiber length distribution in the unit followed a Gamma distribution, showing a random and uneven distribution in the XY plane. When compressed, the average fiber length was reduced, and a substantial increase in isolated pores was observed. However, the quantity of long fibers and connected and isolated pores decreased after acidification treatment.
Selection Path for Energy-Efficient Food Waste Management in Urban Areas: Scenario Analysis and Insights from Poland
Authors: Rolewicz-Kalińska Anna , Lelicińska-Serafin Krystyna , Manczarski Piotr
Published: January 2025

The problem of food being wasted in households has become an essential challenge in recent years. Food waste can be valorized in accordance with the principles of sustainable development, including as a source of energy. This study analyses the potential of anaerobic fermentation, pyrolysis, ethanol fermentation, incineration, and composting to treat food waste, focusing on its energy yield. This research considered two potential scenarios for generating food waste in Poland in both the near term (2030) and the long term (2050). Scenarios were proposed for regions with different levels of urbanization and demographic trends. The criteria for the selection of technologies for the energy-efficient processing of food waste from households in Poland were identified, taking into account the current state of these technologies, their prospective development, demographic changes, the nature of the regions, the trajectory of food waste generation, the spatial food waste generation rate, and the energy potential. Technologies like methane fermentation and thermochemical methods should be developed in densely populated areas with a high spatial food waste generation rate. Among the thermochemical processes, fast pyrolysis will provide the most significant energy benefits, followed by moderate pyrolysis and biocarbonization—at similar levels. Incineration is placed between carbonization and gasification. In less populated areas with lower spatial food waste generation rates, combining substrates with co-processing food waste and green waste should be considered. Biocarbonization systems can be integrated with composting in rural regions.
A Brief Review of Recent Research on Reversible Francis Pump Turbines in Pumped Storage Plants
Authors: Mao Xiuli , Hu Jiaren , Pan Zhongyong , Zhong Pengju , Zhang Ning
Published: January 2025

As the core for energy conversion in pumped storage plants, the pump turbine is also a key component in the process of building a clean power grid, owing to its fast and accurate load regulation. This paper introduces the current status of research and development of pump turbines from the perspectives of significance, design and optimization, operational performance, advanced research methods, etc. Internal and external characteristics such as transient flow evolution, structural vibration, flow-induced noise, etc., not only reflect operational performance (hydraulic, cavitation, sediment abrasion, and stability performance, etc.) but also directly affect the safe and efficient operation of the system. It is worth mentioning that the space-time evolution of internal and external characteristics is an emerging research direction, the results of which can be used to predict the operational conditions of pump turbines. Moreover, the development and application of intelligent condition monitoring and fault diagnosis aim to prevent failures and accidents in pumped storage plants.
Snowfall Change Had Different Effects on Litter Decomposition for Two Typical Desert Species in Different Periods
Authors: Xie Tingting , Shan Lishan , Zhao Chengpeng
Published: January 2025

In desert ecosystems, litter decomposition is the primary source of soil nutrients and is strongly affected by extreme climate events, which may influence desert plant survival and species diversity. To date, the effects of snowfall changes on litter decomposition in desert species remain poorly understood. Here, a snowfall manipulation experiment was conducted in Northwest China that included snowfall addition and removal treatments, as well as a natural snowfall control. Compared to the control, snowfall addition increased the amount of litter mass lost for Salsola passerina and Reaumuria soongarica during the snow-covered period by 21.54% and 21.8%, respectively. In contrast, snowfall addition effects differed between species during the snow-free period. More carbon was released from the S. passerina litter in the snowfall addition treatment during the snow-free period. Similarly, during the snow-covered period, more carbon and nitrogen were released from the R. soongorica litter in the snowfall addition treatment. Overall, the proportion of litter mass lost (from the annual total) increased with snowfall addition in the snow-covered period but was reduced with snowfall addition in the snow-free period. In the snow-covered period, the snowfall addition treatment affected litter mass loss to the same extent in both species but impacted S. passerina more strongly than R. soongorica in the snow-free period due to differences in soil urease activity. Changes in snowfall, therefore, significantly influenced litter decomposition in both desert species, but these effects differed between the snow-covered and snow-free period, particularly for litter with a higher C:N ratio.
Enhanced Properties of Cryptomeria japonica (Thunb ex L.f.) D.Don from the Azores Through Heat-Treatment
Authors: Esteves Bruno , Nunes Lina , Lopes Rogério , Cruz-Lopes Luísa
Published: January 2025

This study evaluates the chemical, physical, mechanical, and biological properties of untreated and heat-treated Cryptomeria japonica (Thunb ex L.f.) D.Don wood from the Azores, Portugal. Heat treatment was performed at 212 °C for 2 h following the Thermo-D class protocol. Chemical analysis revealed an increase in ethanol soluble extractives and lignin content after heat treatment, attributed to hemicellulose degradation and condensation reactions. Dimensional stability improved significantly, as indicated by reduced swelling coefficients and higher anti-swelling efficiency (ASE), particularly in the tangential direction. Heat-treated wood demonstrated reduced water absorption and swelling, enhancing its suitability for applications requiring dimensional stability. Mechanical tests showed a decrease in bending strength by 19.6% but an increase in the modulus of elasticity (MOE) by 49%, reflecting changes in the wood’s structural integrity. Surface analysis revealed significant color changes, with darkening, reddening, and yellowing, aligning with trends observed in other heat-treated woods. Biological durability tests indicated that both untreated and treated samples were susceptible to subterranean termite attack, although heat-treated wood exhibited a higher termite mortality rate, suggesting potential long-term advantages. This study highlights the impact of heat treatment on Cryptomeria japonica wood, emphasizing its potential for enhanced stability and durability in various applications.
Optimisation of Ultrasound-Assisted Extraction of Total Phenolics and Flavonoids Content from Centella asiatica
Authors: Hiranpradith Vimolpa , Therdthai Nantawan , Soontrunnarudrungsri Aussama , Rungsuriyawiboon Oumaporn
Published: January 2025

Centella asiatica (CA), known for its health-promoting properties, is rich in bioactive compounds. This study optimised ultrasound-assisted extraction (UAE) parameters to maximise total phenolic content (TPC) and total flavonoid content (TFC) using the response surface methodology (RSM). Ethanol concentration and solvent volume significantly influenced TPC and TFC yields (p < 0.0001), while ultrasonic power had nonsignificant effects (p < 0.05). Time showed no significant effect on TPC (p > 0.05) but influenced TFC due to flavonoids’ sensitivity to degradation (p < 0.05). Variable interactions were negligible (p > 0.05). The relationship between responses (TPC and TFC) and independent parameters could be expressed as the quadratic models fitted with a Predicted R2 of 0.8263 for TPC and 0.9006 for TFC. Based on RSM, the optimal conditions—75% ethanol concentration, 87.5 W ultrasonic power, 30 min extraction time, and 20 mL solvent volume—yielded TPC and TFC values of 52.29 ± 1.65 mg/g and 43.71 ± 1.92 mg/g, closely aligning with model predictions at 95% confidence. Additionally, the optimal UAE condition provided asiaticoside of 37.56 ± 4.25 mg/g and madecassoside of 16.91 ± 1.28 mg/g. This study offers valuable insights into the factors influencing UAE efficiency, sustainability, and scalability for recovering bioactive compounds, underscoring its potential as a sustainable method for developing functional food ingredients from CA.
Changes in the Flavor of Cold-Pressed Tiger Nut Oil (Cyperus esculentus L.) During Refining Processes and Evaluation of Its Thermal Properties
Authors: Zhao Yue , Sun Yang , Sun Heyi , Sun Tianying , Ren Jian , Song Chunli
Published: January 2025

Oil extracted from tiger nut is a good, edible source owing to its richness in unsaturated fatty acids. This study investigated the effects of the refining processes on the flavor components of crude tiger nut oil by GC-MS and focused on the thermal stability of the refined oil under high-temperature conditions. Three different refining processes were evaluated: citric acid-assisted hydration degumming, alkali deacidification and bleaching. In the present study, the neutralization refining resulted in 11.67% losses. The refined oil had higher brightness and transparency. Moreover, 109 volatiles were identified, mainly including aldehydes, alcohols, pyrazines and furans, the characteristic flavor compounds of which present a fatty, fresh and nutty flavor. Hence, the refining processes have a significant effect on the flavor components of tiger nut oil, and the accumulated information can be helpful in increasing the tiger nut oil quality to meet the market value. The results of the thermal properties indicated the significant degradation of oleic acid and linoleic acid with prolonged heating, leading to increases in the acid value by 17 times and the peroxide value by 31 times after prolonged heating at 210 °C for 10 h compared with those without heating. When the refined tiger nut oil was heated at 210 °C for 4 h, the carbonyl value (62.6 meq/kg) exceeded the recommended value, and after heating for 8 h, the total polar compound percentages (50%, the instrument limit value) also exceeded the national standard. In order to extend the cooking heating time, it is necessary to appropriately decrease the heating temperature. This study provides a scientific reference for the frying of tiger nut oil in food and the high-temperature treatment of food containing tiger nut oil.
The Fractal Dimension, Structure Characteristics, and Damage Effects of Multi-Scale Cracks on Sandstone Under Triaxial Compression
Authors: Yang Pengjin , Miao Shengjun , Li Kesheng , Shang Xiangfan , Li Pengliang , Cai Meifeng
Published: January 2025

To study the influence of the spatial distribution and structure of multi-scale cracks on the mechanical behavior of rocks, triaxial compression tests and cyclic triaxial complete loading and unloading tests were conducted on sandstone, with real-time wave velocity monitoring and CT scan testing. The quantitative classification criteria for multi-scale cracks on sandstone were established, and the constraint effect of confining pressure was analyzed. The crack with a length less than 0.1 mm is considered a small-scale crack, 0.1–1 mm is a medium-scale crack, and larger than 1 mm is a large-scale crack. As the confining pressure increases, the spatial fractal dimension of large-scale cracks decreases, while that of medium-scale cracks increases, and that of small-scale cracks remains stable. The respective nonlinear models of the aspect ratio were established with the length and density of multi-scale cracks. The results indicate significant differences in the effects of cracks of different scales on rock damage. The distribution density of medium-scale cracks in the failed specimen is higher, which is the main reason to produce damage. The small-scale cracks mainly originate from relatively uniform initial cracks in rocks, mainly distributed in medium-density and low-density areas. The results of this research provide important insights into how to quantitatively evaluate the damage of rocks.
Telephones, Narrative, Algorithms: Untimely Meditations on Kafka
Authors: Mohnkern Ansgar K.
Published: January 2025

This essay traces Kafka’s writings as documents of a technological consciousness both a century ago and today. On the one hand, they are historical archives indexing the influence of modern technology in the lifeworld of the early 20th century. On the other hand, however, they also carry a historical index through which they become precise informants of our digital age. With a particular eye on Kafka’s parable “Before the Law”, this essay carves out elements of a narrative order which, as for surprising formal correspondences, can (and perhaps must) be called algorithmic.
The Impact of Relaxation Massage Prior to Bedtime on Sleep Quality and Quantity in People with Symptoms of Chronic Insomnia: A Home-Based Sleep Study
Authors: Ntoumas Ilias , Karatzaferi Christina , Giannaki Christoforos D. , Papanikolaou Fotini , Pappas Aggelos , Dardiotis Efthimios , Sakkas Giorgos K.
Published: January 2025

Background/Objectives: Manual massage is an effective treatment approach for reducing general stress and promoting an overall sense of well-being. Relaxation massage aims to alleviate psychophysiological tension, enhance both blood and lymphatic circulation, and promote mental and physical relaxation. It is particularly beneficial for those with anxiety-related symptoms (such as generalized anxiety disorder and social anxiety) and sleep disorders, aiming to improve calmness and promote sleepiness. Aims: The purpose of the present study was to assess the effectiveness of a single session of relaxation massage prior to bedtime on sleep quality and quantity indices in individuals with symptoms of chronic insomnia. Methods: In total, 20 (N = 20) healthy individuals (aged 25.5 ± 12.0 years; 6F/14M) with a score on the Athens Insomnia Scale of ≥16 participated under three different conditions over one week apart: (1) a 45 min relaxation massage condition (REL), (2) a 45 min sham massage condition (PLA), and (3) a control condition with no massage. Sleep activity was monitored using a portable polysomnographic system. Results: A statistically significant effect was observed between sleep efficiency across the three sessions (p = 0.034), with a notable effect in the relaxation massage (REL) session (p = 0.045). Additionally, sustained sleep efficiency showed a statistically significant difference among the sessions (p = 0.005). Conclusions: Relaxation massage prior to bedtime could be used as an effective and safe non-pharmacological approach for improving sleep efficiency and potentially restoring the fragmented sleep of individuals with symptoms of insomnia. Trial registration number: The trial was registered at clinicaltrials.gov as NCT06781866.
The Potential of Sitka Spruce Bark as an Alternative to Peat Casing for Mushroom (Agaricus bisporus) Production
Authors: Young Gabrielle , Grogan Helen , Corbett Eoghan , McGuinness Brian W. , Gaffney Michael T. , Tracy Saoirse , Schmidt Olaf , Walsh Lael
Published: January 2025

White button mushrooms are an important crop globally, and due to the role of peat in current cultivation practices, the industry is under increasing pressure to find suitable alternatives. Peat functions as “casing”, a surface layer that, amongst other functions, provides available water to the fungal mycelium and is considered essential for mushroom growth. This research aimed to determine the potential of bark as an alternative casing material and its suitability for commercial mushroom production. Two experiments were conducted, comparing two types of commercially available peat casing with bark-based casings. The bark casing in Experiment A was found to be statistically similar to the peat casing in terms of yield and quality. The two bark casings in Experiment B failed to produce a 1st flush of mushrooms, and total yields were significantly lower compared to the peat casings, highlighting the fact that the consistency of the bark material across both experiments was variable. There were several issues associated with the bark casing, which included water stress and cropping delays, all of which would be unacceptable from a commercial perspective. Further research is required to refine bark-based casing, focusing on a better consistency of the bark feedstock and reduction of contamination risk. This work contributes to ongoing research and development to address the dependency of mushroom production on peat.
The Meaning of Ageing and the Educational Intervention “Good Life in Old Age”: An Ethnographic Study Reflecting the Perspective of Older Adults with Mild Intellectual Disability
Authors: Holmgren Marianne , Ahlström Gerd
Published: January 2025

Older adults with intellectual disabilities are not adequately prepared for ageing and show anxiety and uncertainty regarding the future. Therefore, the two-year educational intervention “Good Life in Old Age” was implemented to improve their understanding of ageing and enhance their well-being. This study aimed to explore the meaning of ageing during and after the intervention from the perspective of older adults with mild intellectual disability. The ethnographic design included participant observations, field notes, group interviews, and individual follow-up interviews with 20 adults aged 44–75 (mean 63.2) with intellectual disabilities. The main findings are expressed in four themes; Awareness of ageing with intellectual disabilities, Strengthened as a person through empowering community, Awareness of vulnerability as an older adult, and The educational intervention as a resource to manage vulnerability. The education programme created a social network for healthy ageing with an atmosphere of mutual support fostering greater mental strength and self-confidence. Individual retirement plans should be created to foster socialisation, involving adapted activities and conversations about bereavement and death. There is a need to disseminate and continue developing promising education programmes for older adults with intellectual disabilities to reduce their anxiety about retirement and loneliness and facilitate healthy ageing.
Altered Expression of Epigenetic and Transcriptional Regulators in ERβ Knockout Rat Ovaries During Postnatal Development
Authors: Vo Kevin , Sharma Yashica , Chakravarthi V. Praveen , Mohamadi Ryan , Bahadursingh Elizabeth S. , Mohamadi Amelia , Dahiya Vinesh , Rosales Cinthia Y. , Pei Grace J. , Fields Patrick E. , Rumi M. A. Karim
Published: January 2025

We analyzed the transcriptome data of wildtype and estrogen receptor β knockout (ErβKO) rat ovaries during the early postnatal period and detected remarkable changes in epigenetic regulators and transcription factors. Compared with postnatal day (PD) 4.5 ovaries, PD 6.5 wildtype ovaries possessed 581 differentially expressed downstream transcripts (DEDTs), including 17 differentially expressed epigenetic regulators (DEERs) and 23 differentially expressed transcription factors (DETFs). Subsequently, compared with PD 6.5 ovaries, PD 8.5 wildtype ovaries showed 920 DEDTs, including 24 DEERs and 68 DETFs. The DEDTs, DEERs, and DETFs in wildtype ovaries represented the gene expression during primordial follicle activation and the gradual development of primary follicles of first-wave origin because the second-wave follicles remained dormant during this developmental period. When we compared the transcriptome data of age-matched ErβKO ovaries, we observed that PD 6.5 ErβKO ovaries had 744 DEDTs compared with PD 4.5 ovaries, including 46 DEERs and 55 DETFs. The loss of ERβ rapidly activated the primordial follicles of both first- and second-wave origin on PD 6.5 and showed a remarkable increase in DEDTs (744 vs. 581). However, compared with PD 6.5 ovaries, PD 8.5 ErβKO ovaries showed only 191 DEDTs, including 8 DEERs and 10 DETFs. This finding suggests that the PD 8.5 ErβKO ovaries did not undergo remarkable ovarian follicle activation greater than that had already occurred in PD 6.5 ErβKO ovaries. The results also showed that the numbers of DEERs and DETFs were associated with increased changes in DEDTs; the greater the number of DEERs or DETFs, the larger the number of DEDTs. In addition to the quantitative differences in DEERs and DETFs between the wildtype and ErβKO ovaries, the differentially expressed regulators showed distinct patterns. We identified that 17 transcripts were tied to follicle assembly, 6 to follicle activation, and 12 to steroidogenesis. Our observations indicate that a loss of ERβ dysregulates the epigenetic regulators and transcription factors in ErβKO ovaries, which disrupts the downstream genes in ovarian follicles and increases follicle activation. Further studies are required to clarify if ERβ directly or indirectly regulates DEDTs, including DEERs and DETFs, during the neonatal development of rat ovarian follicles.
Migraine Genetic Susceptibility Does Not Strongly Influence Migraine Characteristics and Outcomes in a Treated, Real-World, Community Cohort
Authors: Chase Bruce A. , Frigerio Roberta , Rubin Susan , Semenov Irene , Meyers Steven , Mark Angela , Freedom Thomas , Marcus Revital , Dafer Rima , Wei Jun , Zheng Siqun L. , Xu Jianfeng , Mulford Ashley J. , Sanders Alan R. , Pham Anna , Epshteyn Alexander , Maraganore Demetrius , Markopoulou Katerina
Published: January 2025

Background/Objectives: Migraine is a common neurological disorder with highly variable characteristics. While genome-wide association studies have identified genetic risk factors that implicate underlying pathways, the influence of genetic susceptibility on disease characteristics or treatment response is incompletely understood. We examined the relationships between a previously developed standardized integrative migraine polygenic genetic risk score (PRS) and migraine characteristics in a real-world, treated patient cohort. Methods: This retrospective cohort study used covariate-adjusted regression to comprehensively evaluate associations between the PRS and clinical characteristics in 1653 treated migraine cases with European ancestry at baseline and, in 800 cases, after one year. Cases were deeply phenotyped by neurologists during extensive interviews, using structured clinical documentation tools to record ~200 discrete data elements. Results: In treated patients, higher standardized PRS showed associations with two common migraine symptoms: photophobia (odds ratio [confidence interval]: 1.33 [1.13–1.56], p = 0.001) and stabbing pain (1.21 [1.08–1.36], p = 0.001]; both retained significance at Q = 0.05. Associations with phonophobia, nausea, emesis, and unilateral headache had similar effect sizes but did not survive correction for multiple tests. In this population, the PRS was not associated with other symptoms of migraine attacks, objective measures of migraine disability, frequency, severity, average duration, time-to-peak intensity of migraine attacks, chronification, emergency department visits, triptan responsiveness, or changes at follow-up. Conclusions: In treated patients, genetic risk was associated with common migraine symptoms but not with the severity of migraine characteristics or treatment outcomes. This suggests that in treated patients, other genetic and non-genetic factors influence migraine symptom severity and disease course more strongly than genetic susceptibility.
Pain Decrement Using Radiofrequency Therapy After Knee Platelet-Rich Plasma Injections Within First 72 h in Active Populations with Patellar Chondropathy
Authors: Abat Ferran , Torras Jordi , Garcia Alba , Jordán Enrique , Roby Matías , Yáñez Roberto , De la Fuente Carlos
Published: January 2025

Objective: To determine whether 448 kHz capacitive-resistive monopolar radiofrequency (CRMR) after platelet-rich-plasma (PRP) injections can further reduce pain sensation within the first 72 h in an active population with patellar chondropathy. Methods: One-hundred fifty-three active patients with patellar chondropathy grade II-III were followed for three days after PRP injections with and without CRMR under a control–placebo study. They were clinically evaluated for pain sensation using a visual analog scale ranging from zero (no pain sensation) to ten (highest pain sensation). Pain sensation was described using medians and analyzed through the Friedman and Conover test for within-group comparison (pre-intervention, and 24, 48, and 72 h post-intervention) and the Mann–Whitney test for between-group comparisons (Intervention vs. Placebo) with α = 5% and 1−β = 80%. Results: The placebo group showed statistical significance between pre-intervention and 24 h (Δ = −2.0 pts, p < 0.001), baseline and 48 h (Δ = −2.0 pts, p < 0.001), baseline and 72 h (Δ = −3.0 pts, p < 0.001), 24 h and 48 h (Δ = 0.0 pts, p < 0.016), and 24 h and 72 h (Δ = −1.0 pts, p < 0.001). The radiofrequency group showed statistical significance between baseline and 24 h (Δ = −7.0 pts, p < 0.001), baseline and 48 h (Δ = −7.0 pts, p < 0.001), baseline and 72 h (Δ = −8.0 pts, p < 0.001), 24 h and 72 h (Δ = −1.0 pts, p < 0.001), and 48 h and 72 h (Δ = −1.0 pts, p < 0.001). The placebo and radiofrequency groups were significantly different at 24 h (Δ = 4.0 pts, p < 0.001), 48 h (Δ = 4.0 pts, p < 0.001), and 72 h (Δ = 4.0 pts, p < 0.001). Conclusions: CRMR therapy administered after knee intra-articular injections of PRP within the first 72 h in active populations with patellar chondropathy reduces pain sensation with a median difference of 8.0 pts compared to baseline and 4.0 pts compared to placebo group.
Prevalence of Osteochondral Lesions on Magnetic Resonance Imaging Following Simple Elbow Dislocations
Authors: Bruttel Jennifer , Regenbogen Stephan , Wagner Verena , Leifeld Heidi , Grützner Paul A. , Schnetzke Marc , Nolte Philip-Christian
Published: January 2025

Objective: Literature regarding osteochondral lesions in patients following elbow dislocation is scarce. The aim of this study was to examine osteochondral lesions on MRI in patients following simple elbow dislocations and evaluate inter-rater reliability between radiologists and orthopedic surgeons at different levels of experience. Methods: In this retrospective, single-center study, 72 MRIs of patients following simple elbow dislocations were evaluated. Ligamentous and osteochondral injuries were evaluated by a junior and senior radiologist and a junior and senior orthopedic surgeon. Osteochondral lesions were classified according to the Anderson classification, and their distribution was assessed. Inter-rater reliability was assessed using Cohen’s Kappa (95% CI) and Fleiss’ Kappa (95% CI). Results: The mean time from injury to MRI was 6.92 ± 4.3 days, and the mean patient age was 42.4 ± 16.0 years. A total of 84.5% of patients had a lateral collateral ligament tear, and 69.0% had a medial collateral ligament tear. Osteochondral lesions were found in 27.8% to 63.9% of cases. According to the senior orthopedic surgeon, 100% were first-grade lesions, whereas the senior radiologist classified 63.2% as first-grade, 26.3% as second-grade, and 5.3% as third- and fourth-grade lesions. Inter-rater reliability was fair to moderate for ligamentous injuries and fair for osteochondral lesions (Fleiss Kappa 0.25 [0.15–0.34]). Localization of the lesions differed depending on the examiner. For all examiners, osteochondral lesions of the lateral column (radial head and capitulum) were most common, with 57.8–66.7% of all lesions. Inter-rater reliability was moderate for lesions in the medial column (Fleiss Kappa 0.51 [0.41–0.6]) and fair for lesions in the lateral column (Fleiss Kappa 0.34 [0.24–0.43]). Conclusions: Osteochondral lesions following simple elbow dislocations are common; however, in contrast to the current literature, high-grade lesions seem to be relatively rare. Overall inter-rater reliability between radiologists and surgeons, as well as within surgeons, was only moderate to fair regarding ligament and osteochondral lesions.
Association of Frailty with Intraoperative Complications in Older Patients Undergoing Elective Non-Cardiac Surgery
Authors: Saetang Mantana , Kunapaisal Thitikan , Chatmongkolchart Sunisa , Yongsata Dararat , Sukitpaneenit Khwanrut
Published: January 2025

Background: Frailty is increasingly being recognized as a risk factor for adverse outcomes in older surgical patients undergoing surgery. We investigated the association between frailty and intraoperative complications using multiple frailty assessment tools in older patients undergoing elective intermediate- to high-risk non-cardiac surgery. Methods: This retrospective cohort study included 637 older patients scheduled for elective non-cardiac surgery. Frailty was assessed using the Clinical Frailty Scale (CFS), FRAIL scale, and modified Frailty Index-11 (mFI-11). The predictive ability of frailty tools was analyzed and compared using the area under the receiver operating characteristic curve (AUC). Results: Frailty was significantly associated with higher intraoperative complication rates (FRAIL scale: p = 0.01; mFI-11: p = 0.046). Patients considered frail using the mFI-11 were more likely to have unplanned intensive care unit admissions (p < 0.001). Those classified as frail by the FRAIL scale and mFI-11 had significantly higher rates of vasopressor/inotrope use (p = 0.001 and p = 0.005, respectively) and mechanical ventilation (p = 0.033 and p = 0.007, respectively). In the univariate analysis, frailty measured using the FRAIL scale was significantly associated with intraoperative complications (odds ratio [OR], 2.41; 95% confidence interval [CI]: 1.33–4.38; p = 0.004); this association was not significant in the multivariate analysis (adjusted OR, 1.69; 95% CI: 0.83–3.43; p = 0.148; AUC = 0.550). Atrial fibrillation, hemoglobin levels, anesthesia type, and surgical subspecialty were stronger predictors of intraoperative complications. Conclusions: Frailty assessments demonstrate the limited predictive ability for intraoperative complications. Specific comorbidities, surgical techniques, and anesthesia types play more critical roles. Comprehensive preoperative evaluations integrating frailty with broader risk stratification methods are necessary to enhance patient outcomes and ensure safety.
Predictive Factors for 24-h Survival After Perioperative Cardiopulmonary Resuscitation: Single-Center Retrospective Cohort Study
Authors: Chungsaengsatitayaporn Soontarin , Pipanmekaporn Tanyong , Khorana Jiraporn , Leurcharusmee Prangmalee , Boonsri Settapong , Siriphuwanun Visith
Published: January 2025

Background: Perioperative cardiac arrest (POCA) remains a major challenge in surgical settings, with low survival after cardiopulmonary resuscitation (CPR). This study aims to identify predictive factors for 24 h survival after CPR and cause of POCA. Method: A retrospective, single-center study was conducted on patients aged ≥18 years who experienced POCA and received CPR in the operating room or within 2 h postoperatively at Chiang Mai University Hospital from 2010 to 2019. The multivariable analysis of independent survival predictors was performed using risk regression models. Results: There were 288 cases of cardiopulmonary arrest requiring CPR, with 61 patients surviving. Significant predictors of survival after perioperative CPR included the American Society of Anesthesiologists physical status classification (ASA) 1–2 (RR 2.53; 95%CI 1.69–3.77; p < 0.001), preoperative hemoglobin ≥ 8 g/dL (RR 2.27; 95%CI 1.05–4.89; p = 0.036), preoperative oxygen saturation ≥ 90% (spontaneous breathing in room air) (RR 3.19; 95%CI 1.21–8.41; p = 0.019), initial end-tidal carbon dioxide between 35 and 45 mmHg (RR 1.55; 95%CI 0.98–2.44; p = 0.059), and duration of CPR ≤ 30 min (RR 3.68; 95%CI 1.51–8.98; p = 0.004). The major cause of POCA was hypovolemia (74.30%). Conclusions: This study identifies several critical predictors for 24 h survival following POCA, which can inform pre-operative optimization and perioperative management. Timely interventions, such as blood transfusions and volume resuscitation, are crucial in improving survival outcomes, particularly in trauma and high-risk patients. Further multi-center studies are needed to validate these findings and explore long-term outcomes to refine perioperative cardiac arrest management.
Comparative Nutritional Profiling of Economically Important Shrimp Species in Pakistan
Authors: Bhatti Muhammad , Sherzada Shahid , Ahmad Sohail , Qazi Muhammad , Ayub Amina , Khan Saeed , Khan Muhammad , Rani Iqra , Hussain Nimra , Nowosad Joanna , Kucharczyk Dariusz
Published: January 2025

Shrimp are widely recognized as a nutritious and flavorful food choice due to their tender and delicious meat. This study evaluated the nutritional composition of three economically important shrimp species: Penaeus merguiensis, Penaeus monodon, and Penaeus indicus, collected from the coastal areas of Pakistan. All shrimp species were found to be high in protein and low in fat content. The ratio of essential amino acids (EAAs), non-essential amino acids (NEAAs), and total amino acids (TAAs) varied significantly (p ≤ 0.05) among species, with P. indicus showing slightly higher values. Regarding fatty acid analysis, total saturated fatty acid content was found to be 35.04% in P. merguiensis, 52.43% in P. monodon, and 44.77% in P. indicus. Similarly, the polyunsaturated fatty acid content was found to be 26.24%, 26.77%, and 24.74%, in P. merguiensis, P. monodon, and P. indicus, respectively. Based on nutrient yield, P. monodon stands out as the most nutrient-dense species, followed by P. indicus and P. merguiensis. Overall, the present study suggests that all shrimp species can be used as a healthy choice of food and a good source of animal protein for human consumption. These findings provide valuable insights into the role of shrimp in promoting a healthy and balanced diet.
Vegetation Classification in a Mountain–Plain Transition Zone in the Sichuan Basin, China
Authors: Bai Wenqian , He Zhengwei , Tan Yan , Robinson Guy M. , Zhang Tingyu , Wang Xueman , He Li , Li Linlong , Wu Shuang
Published: January 2025

Developing an effective vegetation classification method for mountain–plain transition zones is critical for understanding ecological patterns, evaluating ecosystem services, and guiding conservation efforts. Existing methods perform well in mountainous and plain areas but lack verification in mountain–plain transition zones. This study utilized terrain data and Sentinel-1 and Sentinel-2 imagery to extract topographic, spectral, texture, and SAR features as well as the vegetation index. By combining feature sets and applying feature elimination algorithms, the classification performance of one-dimensional convolutional neural networks (1D-CNNs), Random Forest (RF), and Multilayer Perceptron (MLP) was evaluated to determine the optimal feature combinations and methods. The results show the following: (1) multi-feature combinations, especially spectral and topographic features, significantly improved classification accuracy; (2) Recursive Feature Elimination based on Random Forest (RF-RFE) outperformed ReliefF in feature selection, identifying more representative features; (3) all three algorithms performed well, with consistent spatial results. The MLP algorithm achieved the best overall accuracy (OA: 81.65%, Kappa: 77.75%), demonstrating robustness and lower dependence on feature quantity. This study presents an efficient and robust vegetation classification workflow, verifies its applicability in mountain–plain transition zones, and provides valuable insights for small-region vegetation classification under similar topographic conditions globally.
A Comparison of the Dimensional Characteristics and Plasma Parameters of Different Centrifuges Used for the Preparation of Autologous Platelet Concentrates: A Randomized Correlational Study
Authors: Sousa Leandro Lécio de Lima , Brunale Daiana Fermiano , Fernandes Gustavo Vicentis Oliveira , Giro Gabriela , Faveri Marcelo
Published: January 2025

Objective: The objective of this study was to evaluate autologous platelet-rich fibrin (PRF) membrane weights and measurements after production by different centrifuges. Moreover, the values obtained with blood cellular components were correlated. Methods: Twelve systemically healthy participants underwent dental implant surgery associated with PRF membranes as the graft biomaterial at the implant site. Prior to the surgical procedure, the chosen participants underwent blood count and coagulogram tests and presented on the surgical day. Nine tubes containing 10 mL of venous blood were collected from each individual. The tubes were randomly distributed and positioned in three different centrifuges: (C1) the Intra-lock L-PRF Process, (C2) the Kasvi Digital, and (C3) the PRF Montserrat. PRF membrane processing was carried out as described by each manufacturer. After the processing steps, the prepared wet PRFs (initial) were placed in the container (box) designated by the manufacturer for the obtention of PRF membranes. The weights and measurements of the “wet” PRFs (initial) and membranes (final) were obtained using a precision scale and digital caliper in an aseptic environment. The data were compared, and the statistical differences were analyzed using the Friedman test and the Dunn post hoc test; Pearson correlation tests were performed between macroscopic data and data from serum tests; statistical significance was set at 5% (p < 0.05). Results: 108 blood collection tubes were collected. The average harvest time for each tube individually was 21.5 ± 9.9 s. The average time for blood collection (nine tubes) from each of the 12 individuals was 193.1 ± 72.4 s (p = 0.728). The average values were very similar between the centrifuges, both for the measurements and weights of the “plugs” as well as for the linear measurements (p > 0.05). Regarding the wet weights and the linear averages of the PRF membranes, it was observed that the wet PRF weights varied from 0.22 to 0.25 mg and the linear measurements from 24.1 to 26.7 mm, with no statistical differences between centrifuges (p > 0.05). The data presented by centrifuges C1 and C2 were more homogeneous, delivering a value of less than 25% variability compared to the C3 centrifuge, which achieved values greater than 33%. Conclusions: The proposed macroscopic dimensional evaluation found no differences between the autologous platelet concentrates obtained by different centrifuges, and no correlation was found between these PRFs and the patients’ blood counts.
Perspectives of Additive Manufacturing in 5.0 Industry
Authors: Sala Dariusz , Richert Maria
Published: January 2025

Additive manufacturing is a technology that creates objects by adding successive layers of material. The 3D method is an alternative to subtractive production, in which production involves removing material from the initial solid. 3D printing requires the initial design of the manufactured object using computer design, for example, one of the following programs: CAD, 3DCrafter, Wings 3D, Cinema 3, Blender, 3ds Max, Autodesk Inventor, and others. It is also possible to scan an existing object to be manufactured using 3D printing technology. An important element of Industry 5.0 is 3D printing technology, due to its favorable environmental orientation and production flexibility. Three-dimensional printing technology uses recycled materials such as powders. Therefore, it can be part of a circular economy, contributing to environmental protection. Additive manufacturing not only complements existing technologies by enabling rapid prototyping but also plays a fundamental role in sectors such as dentistry and medicine. This article consists of seven chapters relating to various aspects of 3D printing technology in the context of the assumptions and challenges of Industry 5.0. It examines the environmental impact and recycling potential of 3D printing technology, illustrates the economic integration of this technology within various industries, and discusses its future development prospects.
Development of a Web-Based e-Portal for Freeform Surfaced Lens Design and Manufacturing and Its Implementation Perspectives
Authors: Liu Shangkuan , Cheng Kai , Dianat Negin
Published: January 2025

In modern freeform surfaced optics manufacturing, ultraprecision machining through single-point diamond turning (SPDT) plays a crucial role due to its ability to meet the high accuracy demands of optical design and stringent surface quality requirements of the final optic. The process involves meticulous steps, including optic surface modeling and analysis, optic design, machining toolpath generation, and manufacturing. This paper presents an integrated approach to customized precision design and the manufacturing of freeform surfaced varifocal lenses through a web-based e-portal. The approach implements an e-portal-driven manufacturing system that seamlessly integrates lens design, modeling and analysis, toolpath generation for ultraprecision machining, mass personalized customization, and service delivery. The e-portal is specifically designed to meet the stringent demands of personalized mass customization, and to offer a highly interactive and transparent experience for the lens users. By using Shiny and R-script programming for platform development and combining COMSOL Multiphysics for the ray tracing simulation, the e-portal leverages open-source technologies to provide manufacturing service agility, responsiveness, and accessibility. Furthermore, the integration of R-script and Shiny programming allows for advanced interactive information processing, which also enables the e-portal-driven manufacturing system to be well suited for personalized complex products such as freeform surfaced lenses.
Anthoteibinenes F–Q: New Sesquiterpenes from the Irish Deep-Sea Coral Anthothela grandiflora
Authors: Olsen Stine S. H. , Afoullouss Sam , Cruz Rosa Ezequiel , Young Ryan M. , Johnson Mark , Allcock A. Louise , Baker Bill. J.
Published: January 2025

New technology has opened opportunities for research and exploration of deep-water ecosystems, highlighting deep-sea coral reefs as a rich source of novel bioactive natural products. During our ongoing investigation of the chemodiversity of the Irish deep sea and the soft coral Anthothela grandiflora, we report 12 unreported cadinene-like functionalized sesquiterpenes, anthoteibinenes F–Q. The metabolites were isolated using both bioassay- and 1H NMR-guided approaches. One-/two-dimensional NMR spectroscopy and high-resolution mass spectrometry were used for structure elucidation, while a combination of NOESY NMR experiments, GIAO NMR calculations coupled with DP4+ probabilities measures, and ECD comparisons were incorporated to propose relative and absolute configurations of the anthoteibinenes. The metabolites were screened against the Respiratory Syncytial Virus (RSV), ESKAPE pathogens, five Candida albicans strains, and one strain of C. auris.