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An inventory and assessment of mountainous geoheritage sites based on solid and clear criteria is a first step for any geoconservation strategy. The study area (DPR Korea) has a complex geological setting and many mountains with geological significance, the reasons that justify the mountainous geoheritage inventory done in this work. The inventoried ten mountainous geoheritage sites were quantitatively assessed and clearly show that Mt. Paektu and Mt. Kumgang is the most important mountainous geoheritage sites in the DPR Korea due to its high international scientific value. Mt. Chilbo and Mt. Myohyang have a slightly low value than these geoheritage sites in scientific value, but a high educational value and a high touristic value. In addition, the majority of the other mountainous geoheritage sites are characterized by moderate scientific, high educational, and high touristic values and low degradation risk. This study may help in selecting the ranking of mountainous geoheritage sites for World Heritage registration and the development of a new geopark project in DPR Korea, a country where the geopark concept is still emerging. [ABSTRACT FROM AUTHOR]

A high proportion of distributed generators (DGs) connected to the distribution network causes a significant change in the normal and fault currents of the system as well as in the linearization of the characteristics. It is difficult to adapt to conventional protection. This paper theoretically analyzes the possible impact of fault current characteristics on traditional protection based on single-ended informativeness after connecting to DGs. From the perspective of protection action, the evaluation index system of DG protection is established by considering the maximum short-circuit current output from DG. Combined with the relay protection requirements, the calculation method of evaluation indexes is given concerning the protection characteristics and expert experience. An analytic hierarchy process (AHP) and a CRITIC combination assignment method based on the principle of minimum information identification are proposed. The scores of different types of protection before and after DG access are calculated using the proposed methodology employing a typical distribution network example. The proposed method can quantitatively obtain the distribution network protection adaptability boundary. In the actual calculation example selected in this paper, a DG can reasonably improve the adaptability of the three-stage current protection when it increases the current amplitude at a penetration rate of 50%; the DG needs to adjust the three-stage current protection rectification value when it decreases the current amplitude at a penetration rate of 20%; and adaptive overcurrent protection and inverse time limit current protection need to be adjusted when the penetration rate of DG is 50%. Compared with the traditional protection evaluation method, the method adopted in this paper can intuitively derive the weak link between protection handling faults after DG access as well as the appropriate capacity of DG to improve protection performance. It can provide a powerful reference for the optimization of protection schemes after the high percentage of DG access. [ABSTRACT FROM AUTHOR]

Simple Summary: Fish passage facilities are crucial for restoring river connectivity and protecting ecosystems. This study quantitatively assessed the upstream migration of fish under various environmental conditions. In the Heishuihe River downstream of the Songxin Dam, 19 fish species were monitored, with 15 species reaching the fishway entrance and 12 successfully passing through. The entrance attraction and passage rates of the vertical-slot fishway at Songxin were 15.7% and 40.42%, respectively. The results indicate that May is the optimal period for fish migration, with better performance observed during nighttime than daytime. Optimal entrance attraction occurred at a flow rate of 6–7 m3/s and a temperature of 19–20 °C, while the best passage efficiency was achieved at a flow rate of 0–0.5 m3/s and a temperature of 17–20 °C. A multifactorial Cox regression model identified diurnal rhythms, release location, temperature, and flow rate as primary hindering factors, while body length and water level were found to be promoting factors. A nomogram was developed to predict the success rates of fishway attraction and passage based on these key factors. This study provides theoretical and data support for optimizing fishway operations and offers scientific insights into ecological restoration. Fish passage facilities are essential for restoring river connectivity and protecting ecosystems, effectively balancing economic and ecological benefits. Systematic and comprehensive monitoring, assessment, and optimized management are therefore crucial. This study quantitatively evaluated the entire upstream migration process of fish from the downstream river to the entrance and exit of the fishway and investigated the upstream movement patterns of fish under various environmental factors. A total of 19 fish species were monitored in the Heishuihe River downstream of the dam, with 15 species reaching the fishway entrance and 12 species successfully passing through it. The entrance attraction and passage rates of the vertical-slot fishway at the Songxin hydropower station were 15.7% and 40.42%, respectively. The best upstream performance was observed in May, with fish demonstrating better upstream timing and speed during nighttime compared to daytime. Specifically, the highest entrance attraction efficiency was recorded at a flow rate of 6–7 m3/s and a temperature of 19–20 °C, while the optimal passage efficiency was observed at a flow rate of 0–0.5 m3/s and a temperature of 17–20 °C. Additionally, a multifactorial Cox proportional hazards regression model was constructed to identify key factors influencing the probability of fishway entrance attraction and successful passage. The model elucidated the impact patterns of these key factors on fish upstream migration, ultimately generating an alignment diagram for prediction and control. This study provides a theoretical foundation and data support for developing optimized operational schedules for fishways. The findings offer a more comprehensive and systematic approach for monitoring and evaluating fish passage facilities, serving as a scientific basis for ecological restoration and fish conservation in this region and similar areas. [ABSTRACT FROM AUTHOR]

Rapid urbanization brings us challenges, but it is meant to bring us well‐being. The short lifetime of buildings and urban renewal policies have led to the demand for demolition. The aim of this study is to demonstrate the benefits of implementing an advanced demolition system and to fill the sustainability assessment gap in the demolition sector. This approach will help reduce obstacles to conducting sustainable demolition. To achieve this goal, an assessment system based on external costs was built, which mainly focused on the costs of damage due to global warming and environmental pollution. A case study employing two advanced demolition systems was used to show how the assessment works and the effects of demolition. According to the assessment results, the total external damage for the two advanced demolition systems is 37.6% and 19.6% of that of the conventional demolition method. Excellent waste management causes damage due to global warming in only 9.4% of conventional demolition projects, but noise impacts are still a crucial issue in the demolition field, as they contribute to 74.4% of the total damage. Based on the case study results, the benefits of sustainable demolition and the future of demolition are revealed. Further development should be sought for future demolition through new design theory or new technology. [ABSTRACT FROM AUTHOR]

Cervicocerebral artery dissection stands out as a significant contributor to ischemic stroke in young adults. Several studies have shown that arterial tortuosity is associated with dissection. We searched Pubmed and Embase to identify studies on the association between arterial tortuosity and cervicocerebral artery dissection, and to perform a review on the epidemiology of cervicocerebral artery tortuosity and dissection, pathophysiology, measurement of vessels tortuosity, strength of association between tortuosity and dissection, clinical manifestation and management strategies. The prevalence of tortuosity in dissected cervical arteries was reported to be around 22%-65% while it is only around 8%-22% in non-dissected arteries. In tortuous cervical arteries elastin and tunica media degradation, increased wall stiffness, changes in hemodynamics as well as arterial wall inflammation might be associated with dissection. Arterial tortuosity index and vertebrobasilar artery deviation is used to measure the level of vessel tortuosity. Studies have shown an independent association between these two measurements and cervicocerebral artery dissection. Different anatomical variants of tortuosity such as loops, coils and kinks may have a different level of association with cervicocerebral artery dissection. Symptomatic patients with extracranial cervical artery dissection are often treated with anticoagulant or antiplatelet agents, while patients with intracranial arterial dissection were often treated with antiplatelets only due to concerns of developing subarachnoid hemorrhage. Patients with recurrent ischemia, compromised cerebral blood flow or contraindications for antithrombotic agents are usually treated with open surgery or endovascular technique. Those with subarachnoid hemorrhage and intracranial artery dissection are often managed with surgical intervention due to high risk of re-hemorrhage. [ABSTRACT FROM AUTHOR]

A major challenge in deep and high stress mining is managing seismic risk associated with blasting of production stopes and drift development to access the ore zones. The location, magnitude, and frequency of occurrence of seismic events are influenced by changes in stress, lithology, structure, and mining sequence rock properties such as brittleness. Mining induced seismicity can have significant safety and economic consequences for a mining operation.This paper presents a methodology for quantifying and integrating the influence of geological and structural characteristics to provide an improved understanding of the seismic hazards associated with drift development blasts. The method is based on multivariate statistics using a factor analysis of mixed data (FAMD) approach. It was demonstrated that specific geological and structural variables, at each drift segment, are correlated to the intensity of seismic responses to development blasting. A greater understanding of the critical factors provides a greater confidence in managing of seismicity. A further significant benefit is that the FAMD results can be used to prioritize the data collection for geological characterization to improve our understanding of seismic response after development blasts. This can be fully integrated in a cost benefit analysis that is critical for seismic risk management. [ABSTRACT FROM AUTHOR]

Following a request from the European Commission, the EFSA Panel on Plant Health performed a quantitative pest risk assessment to assess whether the import of cut roses provides a pathway for the introduction of Thaumatotibia leucotreta (Lepidoptera: Tortricidae) into the EU. The assessment was limited to the entry and establishment steps. A pathway model was used to assess how many T. leucotreta individuals would survive and emerge as adults from commercial or household wastes in an EU NUTS2 region climatically suitable in a specific season. This pathway model for entry consisted of three components: a cut roses distribution model, a T. leucotreta developmental model and a waste model. Four scenarios of timing from initial disposal of the cut roses until waste treatment (3, 7, 14 and 28 days) were considered. The estimated median number of adults escaping per year from imported cut roses in all the climatically suitable NUTS2 regions of the EU varied from 49,867 (90% uncertainty between 5,298 and 234,393) up to 143,689 (90% uncertainty between 21,126 and 401,458) for the 3- and 28-day scenarios. Assuming that, on average, a successful mating will happen for every 435 escaping moths, the estimated median number of T. leucotreta mated females per year from imported cut roses in all the climatically suitable NUTS2 regions of the EU would vary from 115 (90% uncertainty between 12 and 538) up to 330 (90% uncertainty between 49 and 923) for the 3- and 28-day scenarios. Due to the extreme polyphagia of T. leucotreta, host availability will not be a limiting factor for establishment. Climatic suitability assessment, using a physiologically based demographic modelling approach, identified the coastline extending from the northwest of the Iberian Peninsula through the Mediterranean as area suitable for establishment of T. leucotreta. This assessment indicates that cut roses provide a pathway for the introduction of T. leucotreta into the EU.

Questioning is a critical strategy for science teachers to scaffold students' exploration and knowledge construction in inquiry-oriented science teaching. In science teacher preparation, open-ended questions asked by teachers are advocated as an advantageous strategy to prompt student thinking. However, insufficient attention has been cast on how science content knowledge embedded in teacher questions contributes to students' conceptual understanding. Pre-Service Teachers (PST) may formulate a mindset of hands-off inquiry teaching where students could achieve a learning objective by articulating their thoughts without guidance from teachers. In addition, existing methods for the assessment of questioning are mainly qualitative via discourse analysis from limited scenarios, which may yield biased inferences of a teacher's competency in questioning. Besides, qualitative methods are unwieldy for large-scale analyses due to the complexity of synthesizing discoursal information. In this study, we designed a written instrument for quantitative assessment of PSTs' pedagogical content knowledge of questioning. We thoroughly introduced the free-response and multiple-choice versions of this instrument and applied it with 108 PSTs. The findings supported the validity and reliability of this instrument. As suggested by this instrument, the participating PSTs were aware of the importance of questioning in inquiry teaching. However, the PSTs' difficulties with science content knowledge and knowledge of students' understanding might impede them from determining effective guiding questions to scaffold student learning. Finally, we discussed the potential of this instrument in preparing PSTs' questioning skills. [ABSTRACT FROM AUTHOR]

Abstract Residents learn the vesico-urethral anastomosis (VUA), a key step in robot-assisted radical prostatectomy (RARP), early in their training. VUA assessment and training significantly impact patient outcomes and have high educational value. This study aimed to develop objective prediction models for the Robotic Anastomosis Competency Evaluation (RACE) metrics using electroencephalogram (EEG) and eye-tracking data. Data were recorded from 23 participants performing robot-assisted VUA (henceforth ‘anastomosis’) on plastic models and animal tissue using the da Vinci surgical robot. EEG and eye-tracking features were extracted, and participants’ anastomosis subtask performance was assessed by three raters using the RACE tool and operative videos. Random forest regression (RFR) and gradient boosting regression (GBR) models were developed to predict RACE scores using extracted features, while linear mixed models (LMM) identified associations between features and RACE scores. Overall performance scores significantly differed among inexperienced, competent, and experienced skill levels (P value

Abstract Understanding the spatial distribution of world cultural heritage in its present-day geographical context is the foundation for the identification of and subsequent protection from key threats and vulnerabilities, particularly those arising from anthropogenic climate change. To address this challenge, we classified 45 Spanish world cultural heritage sites (WCHS) listed in the UNESCO register (as of 2023) according to type, entry date, and creation date. To establish a basis for a detailed analysis of the specific impact of climate change on the Spanish WCHS, a spatial cartographic database was developed showing the relationships between the WCHS and key geographical and climatic variables. We then used historical climate data, combined with a review of the impact mechanism of climate conditions on cultural heritage, to quantitatively evaluate the extent to which the WCHS in Spain are affected by local climate conditions from five aspects: freeze thaw cycle, thermal stress (thermoclastism), hydrodynamic scoring, corrosion, and biodegradation. Based on the above climate condition risks, we identified the five Spanish WCHS with the greatest potential climate condition risks, including Santiago de Compostela (Old Town), Pyrénées—Mont Perdu, the Roman Walls of Lugo, the Routes of Santiago de Compostela: Camino Francés and Routes of Northern Spain, and the Tower of Hercules. Additionally, based on different shared socioeconomic pathways (SSPs), we conducted a qualitative assessment of climate risk changes for WCHS in Spain under climate change. We found that the SSP1-2.6 scenario had the lowest climate risk, emphasizing the importance of achieving carbon neutrality for the protection of the WCHS. Our work translates historical climate conditions into specific climate risk levels for cultural heritage, providing data and theoretical support for effectively assessing the climate risks to Spanish WCHS.

This paper aims to identify the geological properties of Sentono Gentong and provide a quantitative assessment of its geodiversity site in Pacitan Regency, Indonesia.This area is an integral part of the vast Gunung Sewu UNESCO Global Geopark. Rock samples and site conditions are compiled on field study. The study area consists mainly of Neogene limestone and older igneous rock. Microscopic analysis has revealed that the limestone is composed of bioclastic wackestone, boundstone, and fossiliferous wackestone. The igneous rock in the area is a grey-black hornblende andesite. Bangunsari fault, which cuts through the study area, disturbs the coastal terraces to its south. The results of the quantitative assessment show that the site's potential educational use, potential touristic use, and degradation risk scores are 92.5, 80, and 56.25, respectively. The assessment scores describe the site as having potential for education and tourism uses, with a medium risk of degradation. Quite prominent cultural elements, which form the local community's identity, are included as a complement to the identification of the site. In order to preserve and maintain the sustainability of this potential geodiversity site, a high commitment related to geoconservation is required.

Understanding the spatial distribution of world cultural heritage in its present-day geographical context is the foundation for the identification of and subsequent protection from key threats and vulnerabilities, particularly those arising from anthropogenic climate change. To address this challenge, we classified 45 Spanish world cultural heritage sites (WCHS) listed in the UNESCO register (as of 2023) according to type, entry date, and creation date. To establish a basis for a detailed analysis of the specific impact of climate change on the Spanish WCHS, a spatial cartographic database was developed showing the relationships between the WCHS and key geographical and climatic variables. We then used historical climate data, combined with a review of the impact mechanism of climate conditions on cultural heritage, to quantitatively evaluate the extent to which the WCHS in Spain are affected by local climate conditions from five aspects: freeze thaw cycle, thermal stress (thermoclastism), hydrodynamic scoring, corrosion, and biodegradation. Based on the above climate condition risks, we identified the five Spanish WCHS with the greatest potential climate condition risks, including Santiago de Compostela (Old Town), Pyrénées—Mont Perdu, the Roman Walls of Lugo, the Routes of Santiago de Compostela: Camino Francés and Routes of Northern Spain, and the Tower of Hercules. Additionally, based on different shared socioeconomic pathways (SSPs), we conducted a qualitative assessment of climate risk changes for WCHS in Spain under climate change. We found that the SSP1-2.6 scenario had the lowest climate risk, emphasizing the importance of achieving carbon neutrality for the protection of the WCHS. Our work translates historical climate conditions into specific climate risk levels for cultural heritage, providing data and theoretical support for effectively assessing the climate risks to Spanish WCHS. [ABSTRACT FROM AUTHOR]

This study introduces a method for quantitatively assessing the complexity and predictability of fish behavior in closed systems through the application of information entropy, offering a novel lens through which to understand how fish adapt to environmental changes. Utilizing simulations rooted in a random walk model for fish movement, we delve into entropy fluctuations under varying environmental conditions, including responses to feeding and external stimuli. Our findings underscore the utility of information entropy in capturing the intricacies of fish behavior, particularly highlighting the synchrony in collective actions and adaptations to environmental shifts. This research not only broadens our comprehension of fish behavior but also paves the way for its application in fields like aquaculture and resource management. Through our analysis, we discovered that smaller grid sizes in simulations capture detailed local fluctuations, while larger grids elucidate general trends, pinpointing a 2.5 grid as optimal for our study. Moreover, changes in swimming speeds and behavioral adaptations during feeding were quantitatively analyzed, with results illustrating significant behavior modifications. Additionally, employing a Gaussian mixture model helped to clarify the nuanced changes in fish behavior in response to altered light conditions, demonstrating the layered complexity of fish responses to environmental stimuli. This investigation confirms the efficacy of information entropy as a robust metric for evaluating fish shoal behavior, offering a fresh methodology for ecological and environmental studies, with promising implications for sustainable management practices. [ABSTRACT FROM AUTHOR]

Speckle reduction is a key preprocessing approach for the applications of Synthetic Aperture Radar (SAR) data. For many interpretation tasks, high-quality SAR images with a rich texture and structure information are useful. Therefore, a satisfactory SAR image filter should retain this information well after processing. Some quantitative assessment indicators have been presented to evaluate the edge-preservation capability of single-polarization SAR filters, among which the non-clean-reference-based (i.e., blind) ones are attractive. However, most of these indicators are derived based only on the basic fact that the speckle is a kind of multiplicative noise, and they do not take into account the detailed statistical distribution traits of SAR data, making the assessment not robust enough. Moreover, to our knowledge, there are no specific blind assessment indicators for fully Polarimetric SAR (PolSAR) filters up to now. In this paper, a blind assessment indicator based on an SAR Ratio Gradient Operator (RGO) and Confidence Interval Estimation (CIE) is proposed. The RGO is employed to quantify the edge gradient between two neighboring image patches in both the speckled and filtered data. A decision is then made as to whether the ratio gradient value in the filtered image is close to that in the unobserved clean image by considering the statistical traits of speckle and a CIE method. The proposed indicator is also extended to assess the PolSAR filters by transforming the polarimetric scattering matrix into a scalar which follows a Gamma distribution. Experiments on the simulated SAR dataset and three real-world SAR images acquired by ALOS-PALSAR, AirSAR, and TerraSAR-X validate the robustness and reliability of the proposed indicator. [ABSTRACT FROM AUTHOR]

A concurrent qualitative-quantitative assessment of geodiversity was carried out within the Midriff Islands, a priority region within the Gulf of California that stands out for its geological, ecological, and cultural importance. This study is carried out on the coast of central Sonora, where the Comcaac indigenous community has lived for more than a thousand years imbuing their territory with material and symbolic values. The objective of this study was to highlight the elements of geodiversity and contribute to the management and conservation strategies that are carried out in the area. The qualitative approach consisted of detailed fieldwork and a descriptive-documentary assessment of the geodiversity attributes of the study area, which led to the preparation of geomorphological and geological maps. The quantitative approach consisted of the elaboration of a geodiversity index map using an adapted methodology that considered some sites of cultural value due to their relationship with abiotic natural elements of geodiversity. As a result of both approaches, several localities and zones of high to medium geodiversity were identified mainly located along the mountain ranges and the coast. Coastal areas, although not having the highest geodiversity, could be considered the most relevant in terms of geological heritage and geoconservation, because they comprise a variety of rocky outcrops and extraordinary landforms with scientific interest, as well as cultural and aesthetic values. In addition, the concurrent assessment was favorable to recognize localities where geoconservation and sustainable use strategies, such as geotourism, can be implemented. [ABSTRACT FROM AUTHOR]

Ecosystem service flow is essential for transporting, transforming, and maintaining ecosystem services and connecting supply and demand. This study attempted to quantitatively assess the supply and demand flows of ecosystem services in the Yangtze River Basin in 2000, 2010, and 2020; assess the evolution of the spatial patterns of ecosystem service flow at the provincial, watershed and urban agglomeration scales; and design a zoning standard for ecosystem service flow. The results showed as follows. 1) Between 2000 and 2020, the Yangtze River had a progressive drop in its freshwater supply, water conservation service and carbon sequestration service flows. The decline rates for these services were measured at 10.90%, 11.11%, and 5.17%, respectively. The climate regulation service flow exhibited a pattern of initial fall followed by a subsequent increase, characterized by a decline rate of 35.53%. 2) The lowest was the ecosystem service flow in the lower reaches of the Yangtze River and the Yangtze River Delta urban agglomeration. Freshwater supply service flow and water conservation service flow were the highest in the upper reaches of the Yangtze River and the Chengdu-Chongqing urban agglomeration. Carbon sequestration service flow and climate regulation service flow were the highest in the middle reaches of the Yangtze River Basin and the urban agglomeration in the middle reaches of the Yangtze River. 3) From 2000 to 2020, the change ratios of the area proportion of the confluence, flow, and outflow areas in the Yangtze River Basin were 1.06, 3.17, and 0.86, respectively. The results of this research could offer decision support for regulating ecosystem services in the Yangtze River Basin, promoting sustainable regional development and achieving rational use of the basin resources. [ABSTRACT FROM AUTHOR]

Introduction: Chiari-like malformation (CM) and syringomyelia (SM) are disorders that, in dogs, affect mainly small and toy breeds, including the Pomeranian. These disorders are linked to a great number of (owner-reported) clinical signs (ORCS) suggestive of pain. Aging was associated with an increased risk of having SM in several studies. However, there are only a few longitudinal studies that assess the presence and severity of CM/SM over time in CKCS dogs and progression of SM was linked to progression of clinical signs. The aim of this study was to investigate ORCS, CM/SM classification, and quantitative syrinx parameters in relation to progression of time (age) within individual Pomeranians. Materials and methods: Pomeranians with or without ORCS and with or without diagnoses of CM/SM were included that had undergone two (or more) MRI studies of the craniocervicothoracic region between January 2020 and June 2023. Classification of CM/SM and quantitative syrinx measurements were performed. Absolute values as well as ratios for syrinx height, width, and cross-sectional area were included for analysis. Results: A total of 19 Pomeranians were included in the study, of which 11 were male (58%) and 8 were female (42%). The median age at the time of MRI1 was 26 months (range 7-44 months). The median scan interval was 26 months (range 11-49 months). Eleven dogs (58%) were presented with ORCS at the time of MRI1, whereas the other 8 dogs (42%) had no ORCS at that time. At the time of MRI2, there were 17/19 dogs (89%) with ORCS and 2/19 dogs without ORCS (11%). Dogs were significantly more likely to have ORCS at MRI2 than MRI1 (p = 0. 0411). There was no significant difference between CM/SM classification at the time of MRI1 andMRI2. Significant differences were found betweenMRI1 and MRI2 for syrinx height (based on transverse images) (absolute value and ratio P = 0.0059), syrinx width (absolute value P = 0.1055, ratio P = 0.0039), and syrinx cross sectional area (absolute value P = 0.0195, ratio P = 0.0217). Discussion: There are differences in the presence or absence of ORCS as well as quantitative syrinx measurements in Pomeranians at different ages. This finding supports that longitudinal changes occur in the SM status of Pomeranians. [ABSTRACT FROM AUTHOR]

Valvular heart diseases (VHDs) pose a significant public health burden, and deciding the best treatment strategy necessitates accurate assessment of heart valve function. Transthoracic echocardiography (TTE) is the key modality to evaluate VHDs, but the lack of standardized quantitative measurements leads to subjective and time-consuming assessments. We aimed to use deep learning to automate the extraction of mitral valve (MV) leaflets and annular hinge points from echocardiograms of the MV, improving standardization and reducing workload in quantitative assessment of MV disease. We annotated the MV leaflets and annulus points in 2931 images from 127 patients. We propose an approach for segmenting the annotated features using Attention UNet with deep supervision and weight scheduling of the attention coefficients to enforce saliency surrounding the MV. The derived segmentation masks were used to extract quantitative biomarkers for specific MV leaflet scallops throughout the heart cycle. Evaluation performance was summarized using a Dice score of 0.63 ± 0.14, annulus error of 3.64 ± 2.53 and leaflet angle error of 8.7 ± 8.3°. Leveraging Attention UNet with deep supervision robustness of clinically relevant metrics was improved compared with UNet, reducing standard deviations by 2.7° (angle error) and 0.73 mm (annulus error). We correctly identified cases of MV prolapse, cases of stenosis and healthy references from a clinical material using the derived biomarkers. Robust deep learning segmentation and tracking of MV morphology and motion is possible by leveraging attention gates and deep supervision, and holds promise for enhancing VHD diagnosis and treatment monitoring. [ABSTRACT FROM AUTHOR]

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To solve the quantitative problem of sleeping activity posture in space-restricted accommodation cabins, a comprehensive assessment model was constructed with ergonomics simulation technology as well as sleeping activity and behavioral posture. Sleeping behavioral types were integrated and analyzed through observational surveys by combining activity theory and hierarchical task analysis. We constructed digital human models (DHMs) assisted by JACK software and followed the methodology of design constraint extraction and construction, comfort-oriented ergonomic simulation evaluation and inference, and data-driven decision-making. We simulated five phases of sleeping experience and evaluated these crews' sleeping-related postures (including head, neck, shoulders, elbows, torso, and hips) through seven DHM simulation tools. These simulation assessment data were synthesized using multiple attribute decision-making (MADM) methods (AHP-TOPSIS method vs. GRA-VIKOR method). When exploring the assessment model application on the example of a ship's accommodation cabin, this work shows that alternative S3 is optimal, and the ranking of GRA-VIKOR method is in line with the actual. The evaluation results based on MADM methods are consistent with the analysis of variance test. In summary, DHM-driven quantitative assessment model can be used to realize preferred design decision-making and provide further guidance for manned cabin ergonomics optimization. [ABSTRACT FROM AUTHOR]

One of the serious public questions for years has been related to the size of government expenditure and government revenues and the formed government budget. The latter determines the amount of government intervention in the economy and the public goods provided by the state. The growth of government expenditure is influenced by various factors, both on the demand side of public goods and on the supply side. In this context, in the present article the author's interest is focused on the study of the dependence between basic socio-demographic characteristics of the population and the size of government expenditure on social protection. The guiding working hypothesis for the research is that there is a positive relationship between government expenditure on social protection in the European Union (EU) Member States from Central and Eastern Europe (CEE) and basic sociodemographic characteristics of the population. The verification of the hypothesis is carried out in the following sequence: first, on the basis of a study of literary sources, quantitative indicators reflecting basic socio-demographic characteristics of the population are substantiated; secondly, on the basis of the adopted indicators, socio-demographic population indices are calculated for the EU Member States from Central and Eastern Europe; third, the relationship between the government expenditure on social protection and the socio-demographic population index is measured by means of the coefficient of K. Pearson. The working hypothesis has been confirmed, as it has been established that there is a positive relationship between the studied variables in each year of the analyzed period 2017-2021. The values of the correlation coefficient during the period 2017-2021 in chronological order are as follows: 0.7336; 0.7128; 0.7011; 0.7006; 0.7063. [ABSTRACT FROM AUTHOR]

Information literacy is a crucial skill often overlooked by faculty in higher education, who expect incoming Gen Z students to have some ability to navigate the information landscape appropriately and efficiently either from prior high school instruction or simply by the ubiquity of information access. Assessments of college students' information literacy paints a different picture, indicating that information literacy instruction is required and that deliberate efforts should be made to aid students in proper evaluation and use of informational media. This study investigates the value of generalized information literacy instruction at a medium-sized, public 4-year university in a rural area. Student knowledge is assessed pre- and post-instruction to determine specific impacts of information literacy instruction on various facets of information literacy – source quality, relevance, and context. Specifically, the purpose of this research is to determine (1) whether information literacy varies across students in different fields/disciplines and (2) if so, whether generalized information literacy instruction tends to close those cross-disciplinary gaps or extend existing disparities. Data collected herein demonstrate that gains in information literacy vary substantially by academic discipline. For example, students in the College of Humanities and Fine Arts began with the second-highest average pre-instruction scores (75.00 %) and exhibited the largest gains between pre- and post-instruction assessments (+12.14 %). The results obtained in this study indicate that generalized instruction tends to inflate existing disparities in information literacy between disciplines. Based on these findings, there is ample evidence to suggest that discipline-specific information literacy instruction could provide students with larger individual gains and potentially allow information literacy to converge across fields. [ABSTRACT FROM AUTHOR]

Ijen Geopark, also known as “Sunrise of Java,” is situated on the eastern tip of Java. Twelve geosites of the geopark are located in Banyuwangi Regency, while the left are situated in Bondowoso Regency. This paper aims to inventory and conduct a geosites quantitative assessment in Ijen Geopark in Banyuwangi Regency. A four-step model, comprising scientific value, potential educational value, potential tourism value, and degradation risk, is utilized for the quantitative assessment of the geosites. Geological characteristics of the twelve geosites have been inventoried. Ijen Acidic Crater Lake is the most valuable geosite in scientific terms. The publication of international papers can enhance the scientific score, particularly for geosites with a final scientific score below 300. All geosites in Ijen Geopark are potential for both education and tourism purposes, as they have final scores higher than 300. The Intrusive Rock Pulau Merah, despite facing moderate challenges related to population density and uniqueness, has been shown to have the greatest potential for both educational and tourism purposes. The geosites within Ijen Geopark are relatively protected from deterioration, with a total deterioration risk score less than 250. The study supports the efforts of local and national governments in promoting economic development.

The aging process and chronic diseases can lead to functional decline in older adults, particularly with significant decreases in balance ability, which greatly increases the risk of falls. Traditional balance ability assessment methods typically rely on clinical rating scales, which are subjective and prone to the Hawthorne effect and are difficult to implement for continuous daily assessment. In this paper, we propose a quantitative risk assessment system for elderly falls based on the fusion of millimeter-wave(mmWave) radar imaging and trajectory features. Key features such as the center-of-mass trajectory, trajectory offset, and maximum swing diameter are extracted by improving the fusion clustering algorithm. Then, a model such as Random Forest (RF) is applied to conduct correlation analysis on the features, ultimately proving a significant correlation between feature selection and scale scoring. Subsequently, a quantitative assessment model is established with core algorithms such as Support Vector Regression (SVR), Gradient Boosting Decision Tree (GBDT), Extreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine (LightGBM) to verify the effectiveness of the evaluation. The result indicates that the LightGBM model achieved the best performance in assessment compared to other models, with a prediction accuracy score of 93.36%. The experiment has demonstrated that the system can effectively capture the features of gait and evaluate early changes in balance ability decline. The research on this system provides a new technological approach to daily fall risk warnings.

Gait impairment in Parkinson’s Disease (PD) is quantitatively assessed using the Movement Disorder Society Unified Parkinson’s Disease Rating Scale (MDS-UPDRS), a well-established clinical tool. Objective and efficient PD gait assessment is crucial for developing interventions to slow or halt its advancement. Skeleton-based PD gait MDS-UPDRS score estimation has attracted increasing interest in improving diagnostic efficiency and objectivity. However, previous works ignore the important cross-spacetime dependencies between joints in PD gait. Moreover, existing PD gait skeleton datasets are very small, which is a big issue in deep learning-based gait studies. In this work, we collect a sizable PD gait skeleton dataset by multi-view Azure Kinect sensors. The collected dataset contains 102 PD patients and 30 healthy older adults. In addition, gait data from 16 young adults (aged 24–50 years) are collected to further examine the effect of age on PD gait assessment. For skeleton-based automatic PD gait analysis, we propose a novel cross-spatiotemporal graph convolution network (CST-GCN) to learn complex features of gait patterns. Specifically, a gait graph labeling strategy is designed to assemble and group cross-spacetime neighbors of the root node according to the spatiotemporal semantics of the gait skeleton. Based on this strategy, the CST-GCN module explicitly models the cross-spacetime dependencies among joints. Finally, a dual-path model is presented to realize the modeling and fusion of spatial, temporal, and cross-spacetime gait features. Extensive experiments validate the effectiveness of our method on the collected dataset.

Nature-based solutions (NbS) are recognized as one of the approaches that can address a range of environmental issues, often with conservation and natural resource management missions. However, the promotion of NbS often lacks a robust understanding of their actual impacts and effectiveness. To support the evaluation and implementation of NbS, there is a need for a comprehensive quantitative assessment framework. The main objectives of the study are to (1) develop an assessment framework that can be used to quantify the performance of NbS interventions and to (2) provide a step-by-step guideline for evaluating NbS. The assessment framework proposed in this study was built upon existing frameworks used in previous studies, designed to address specific gaps. Several aspects and tools were integrated in response to the NbS standard criteria provided by the International Union for Conservation of Nature (IUCN), as a result, this quantitative assessment framework can provide a comprehensive evidence based on environmental, social, and economic aspects. The study introduced one approach, viz., the System of Environmental-Economic Accounting - Ecosystem Accounting (SEEA EA), and three main assessment tools (i.e., Life Cycle Assessment (LCA), Social Life Cycle Assessment (S-LCA), and Cost-Benefit Assessment (CBA)) aimed at facilitating a comprehensive evaluation of NbS. The results provide a conceptual framework that offers a systematic approach for evaluating the performance of NbS, along with methods to address conflicting results among aspects and/or indicators. Ideas and approaches for assessing ecosystem services provided by NbS and primary concerns when conducting NbS assessments are also highlighted. In summary, the conceptual framework proposed in this study can be used to assess NbS performance and determine whether NbS interventions align with the NbS standard criteria provided by IUCN, utilizing the introduced assessment tools.

Low-intensity pulsed ultrasound (LIPUS) has been gradually used to treat Achilles tendinopathy. However, there are limited non-invasive and efficient instruments for monitoring LIPUS efficacy in Achilles tendinopathy. The purpose of this study was to assess the therapeutic effectiveness of LIPUS after Achilles tendinopathy by 2-D ultrasound and real-time shear wave elastography (SWE). Ninety New Zealand white rabbits were divided into control, sham and LIPUS groups after tendinopathy modeling. On days 1, 4, 7, 14 and 28, the Achilles tendon thickness and SWE Young's modulus on the long axis were measured. The tissues of the Achilles tendon were then evaluated histologically. The mean SWE values increased while the average thickness and histologic scores decreased, especially in the LIPUS group (9.5% and 80.7% on day 28, respectively). The SWE values in the LIPUS group were significantly lower than those in the control group on day 1 (121.0 kPa vs. 177.6 kPa) and peaked on day 7 (173.7 kPa, p < 0.001). By day 28, the SWE value had approached that of the control (191.2 kPa vs. 192.4 kPa), and had been significantly higher than that in the sham group since day 7. SWE values and histologic scores were correlated (r = –0.792, p < 0.01). The average thickness decreased in the three groups but did not differ significantly. Two-dimensional ultrasound is beneficial to the diagnosis of Achilles tendinopathy. SWE could quantify changes in Achilles tendon stiffness non-invasively during LIPUS treatment, enabling the study of early Achilles tendon healing after LIPUS treatment. [ABSTRACT FROM AUTHOR]

Ijen Geopark, also known as "Sunrise of Java," is situated on the eastern tip of Java. Twelve geosites of the geopark are located in Banyuwangi Regency, while the left are situated in Bondowoso Regency. This paper aims to inventory and conduct a geosites quantitative assessment in Ijen Geopark in Banyuwangi Regency. A four-step model, comprising scientific value, potential educational value, potential tourism value, and degradation risk, is utilized for the quantitative assessment of the geosites. Geological characteristics of the twelve geosites have been inventoried. Ijen Acidic Crater Lake is the most valuable geosite in scientific terms. The publication of international papers can enhance the scientific score, particularly for geosites with a final scientific score below 300. All geosites in Ijen Geopark are potential for both education and tourism purposes, as they have final scores higher than 300. The Intrusive Rock Pulau Merah, despite facing moderate challenges related to population density and uniqueness, has been shown to have the greatest potential for both educational and tourism purposes. The geosites within Ijen Geopark are relatively protected from deterioration, with a total deterioration risk score less than 250. The study supports the efforts of local and national governments in promoting economic development. [ABSTRACT FROM AUTHOR]

Objectives: This study quantified the long-term occlusal wear in the natural posterior teeth and the associations per tooth type within the dentition. Methods: The sample included 70 orthodontically treated subjects (52 females and 18 males; median age, 14.3 years), followed for a 12.7-year period. They were consecutively selected with no tooth wear–related criteria. Post-treatment (T1) and follow-up dental casts (T2) were scanned and superimposed through three-dimensional methods. Occlusal wear volume of posterior teeth and tooth wear patterns were investigated through non-parametric statistics and analysis of covariance. Results: There were no significant differences between contralateral teeth. The average occlusal wear per posterior tooth was 2.3 mm3, with 65.2% of teeth showing values greater than 1 mm3. Males, mandibular teeth, and first molars exhibited slightly greater wear levels than females (median, 2.57 and 2.21 mm3, respectively; p = 0.005), maxillary teeth, and first or second premolars, respectively. In all first premolars and in the mandibular second premolars, the buccal cusps were primarily affected with no other distinct patterns. There were weak to moderate correlations between tooth types, apart from certain strong correlations detected in males. Conclusions: Posterior tooth wear was highly prevalent after a 13-year period starting at the onset of permanent dentition. The detected patterns are in accordance with the concept of canine guidance occlusion that is transforming into group synergy through function. Clinical relevance: The widespread tooth wear occurrence and the high intra- and inter-individual variability underline the need for individual patient monitoring to identify high-risk patients at early stages. [ABSTRACT FROM AUTHOR]

The second goal of Sustainable Development Goals (SDGs) (SDG‐2: zero hunger), which integrates food security, nutrition, and sustainable agriculture, is the common aim of human beings. Assessment of food security performance is the premise of understanding the global food security to tailor strategies toward SDG‐2. This study quantitatively assesses the food security of 93 countries using a multiple‐dimensional indicator system (MDIS) with five dimensions (i.e., availability, access, utilization, stability, and other) consisting of 34 indicators using the data for the years 2015, 2016, 2017, and 2018. The results show imbalance in global food security, which is generally high in Europe, Oceania, and North America, fair in East Asia and South America, and low in Africa and South Asia. In the dimensions, countries with low availability are mainly owing to the bad performances of indicators related to energy, protein, and meat supply; the low utilization is expressed in the number of obese adults, stunted children, prevalence of anemia of women, obese adults and overweight children; the low food access showed in the low GDP per capita and rail line density; and the low‐stability countries mainly have the high food import dependency and low political stability. Policy implications include promoting the adoption of agricultural technologies to boost food production, implementing inclusive finance among vulnerable groups to enhance health equality, developing national economy and transport systems to increase access to food, and encouraging local food reserves and calling for world peace to stable food supply. This study provides national governments and international organizations with a new MDIS, status quo, and possible solutions to eliminating hunger. [ABSTRACT FROM AUTHOR]

Background: Different degrees of T1-weighted (T1W) signal intensities in certain locations on brain magnetic resonance imaging (MRI) are characteristic features of neurological involvement in congenital portosystemic shunt (CPSS). Long-term accumulation of manganese (Mn) as a biomarker can lead to irreversible brain damage. Objectives: The aim of this study was to utilize quantitative brain MRI indicators to characterize brain signal differences in various regions in children with congenital portosystemic shunt. This may contribute to diagnosis, prognosis, and treatment decisions. Patients and Methods: This was a case-control study. Thirty-two patients diagnosed with CPSS based on at least one of the following imaging studies--abdominal ultrasound, Digital Subtraction Angiography (DSA), and Computed Tomography (CT)- and who underwent brain MRI prior to interventional treatment or surgery were included as the Case Group in this study. The age of these patients varied from 22 months to 15 years. Brain MRI of thirty children aged 2 to 15 years, identified without liver or structural diseases, were selected as the Control Group. The brain imaging protocol included an axial spin-echo T1-weighted image (T1WI), an axial T2-weighted image (T2WI), an axial diffusion-weighted imaging (DWI), an axial T2-fluid attenuated inversion recovery (FLAIR) sequence, and a sagittal gradient-echo 3D T1W thin-slice sequence, which can be reconstructed into axial and coronal planes. We utilized quantitative MRI assessment based on the 3D T1-weighted sequence to evaluate intracranial signal differences. The quantitative index was categorized into two types: Globus pallidus-to-frontal subcortical white matter Index (GFI) and anterior pituitary-to-pons Index (API). GFI and API were measured and statistically analyzed on the 3D T1W sequence between the Case Group and the Control Group. GFI of the Case Group was also measured and analyzed between the 3D T1W sequence and the standard T1W sequence. Correlation analysis was applied between the GFI ratios and ammonia levels, as well as between the API ratios and ammonia levels in the Case Group. The duration of the study was more than three months. Results: Significant differences in GFI and API were observed in the Case Group compared with the Control Group (P < 0.01). There was also a statistical difference in GFI between the 3D T1W sequence and the standard T1W sequence (P < 0.01). However, the GFI and API ratios were not correlated with ammonia levels (P > 0.05). The Pearson correlation values were 0.147 and 0.190, respectively. Conclusion: There was a correlation between different brain signals and congenital portosystemic shunt. Quantitative MRI assessment based on the 3D T1-weighted sequence could be used to evaluate these brain signal differences. A longitudinal study with multiple measurements would be beneficial for more accurately assessing such differences, enabling timely interventions, reducing complications, and avoiding lifelong drug therapy. [ABSTRACT FROM AUTHOR]

Objectives: Although endoscopic submucosal dissection (ESD) training is important, quantitative assessments have not been established. This study aimed to explore a novel quantitative assessment system by analyzing an electrical surgical unit (ESU). Methods: This was an ex vivo study. Step one: to identify the novel efficiency indicators, 20 endoscopists performed one ESD each, and we analyzed correlations between their resection speed and electrical status. Step two: to identify the novel precision indicators, three experts and three novices performed one ESD each, and we compared the stability of the electrical status. Step three: three novices in step two performed 19 additional ESDs, and we analyzed the learning curve using novel indicators. Results: Step one: the percentage of total activation time (AT) of ESU in the procedure time (β coefficient, 0.80; P < 0.01) and AT required for submucosal dissection (β coefficient, −0.57; P < 0.01) were significantly correlated with the resection speed. Step two: coefficient of variation of the AT per one pulse (0.16 [range, 0.13–0.17] vs. 0.26 [range, 0.20–0.41], P = 0.049) and coefficient of variation of the peak electric power per pulse during mucosal incision (0.14 [range, 0.080–0.15] vs. 0.25 [range, 0.24–0.28], P = 0.049) were significantly lower in the experts than in the novices. Regarding the learning curve, the percentage of total AT of ESU in the procedure time and AT required for submucosal dissection had a trend of improvement. Conclusion: Novel indicators identified by analyzing ESU enable quantitative assessment for endoscopist's skill. [ABSTRACT FROM AUTHOR]

Urban green space (UGS) has important impacts on human health, but an integrated participatory approach to UGS design for improved residents' health has been lacking to date. The aim of our study was to develop and evaluate such a novel approach to address this gap. The approach was developed following guiding principles from the literature and tested with groups of children and elderly as participants in two neighborhoods of Maastricht (The Netherlands) with a low score in economic and health indicators. The novel aspects of the approach are the inclusion of both positive and negative health effects, the combination of resident self-assessment and model-based assessment of the health effects of UGS designs, and the use of maps to visualize UGS designs and health effects. The participant-generated UGS designs resulted in a considerable (up to fourfold) self-assessed increase in the use of the UGSs for meeting, stress reduction, and leisure-based physical activity as compared to the current situation. The model-assessed positive and negative health effects of the participant-generated UGS designs were limited: heat stress slightly decreased (by 0.1 °C), active transport slightly increased (by 30 m per day), and the perceived unsafety slightly increased (8%). The effects on unattractive views, air pollution, tick bite risk, and traffic unsafety were negligible. The major strength of this approach is that it combines active participation of residents in UGS (re)design with assessment of the health effects of these UGS designs. While in other participatory approaches to UGS design, it often remains unclear whether the resulting designs represent an improvement in terms of health, our combination of computer model-based assessment and a participatory process produced clear outcomes regarding the health benefits and use of UGS designs. A major recommendation for improvement is to involve decision makers already in the initial steps of the approach. [ABSTRACT FROM AUTHOR]

IntroductionChiari-like malformation (CM) and syringomyelia (SM) are disorders that, in dogs, affect mainly small and toy breeds, including the Pomeranian. These disorders are linked to a great number of (owner-reported) clinical signs (ORCS) suggestive of pain. Aging was associated with an increased risk of having SM in several studies. However, there are only a few longitudinal studies that assess the presence and severity of CM/SM over time in CKCS dogs and progression of SM was linked to progression of clinical signs. The aim of this study was to investigate ORCS, CM/SM classification, and quantitative syrinx parameters in relation to progression of time (age) within individual Pomeranians.Materials and methodsPomeranians with or without ORCS and with or without diagnoses of CM/SM were included that had undergone two (or more) MRI studies of the craniocervicothoracic region between January 2020 and June 2023. Classification of CM/SM and quantitative syrinx measurements were performed. Absolute values as well as ratios for syrinx height, width, and cross-sectional area were included for analysis.ResultsA total of 19 Pomeranians were included in the study, of which 11 were male (58%) and 8 were female (42%). The median age at the time of MRI1 was 26 months (range 7–44 months). The median scan interval was 26 months (range 11–49 months). Eleven dogs (58%) were presented with ORCS at the time of MRI1, whereas the other 8 dogs (42%) had no ORCS at that time. At the time of MRI2, there were 17/19 dogs (89%) with ORCS and 2/19 dogs without ORCS (11%). Dogs were significantly more likely to have ORCS at MRI2 than MRI1 (p = 0. 0411). There was no significant difference between CM/SM classification at the time of MRI1 and MRI2. Significant differences were found between MRI1 and MRI2 for syrinx height (based on transverse images) (absolute value and ratio P = 0.0059), syrinx width (absolute value P = 0.1055, ratio P = 0.0039), and syrinx cross sectional area (absolute value P = 0.0195, ratio P = 0.0217).DiscussionThere are differences in the presence or absence of ORCS as well as quantitative syrinx measurements in Pomeranians at different ages. This finding supports that longitudinal changes occur in the SM status of Pomeranians.

This paper offers an in-depth investigation into various quantitative assessment methods used to quantify the supply regulation capacity in new types of power systems under different conditions. As new forms of energy, including renewables, are increasingly becoming the predominant sources of power systems, the traditional systems are undergoing transformative modifications to efficiently address the issue of power generation and consumption fluctuations. In this regard, this paper proposes an original framework that combines advanced statistical methods and machine learning. The primary purpose of the framework is to identify the level of resilience and flexible adaptability of new power systems. The paper presents the results of the simulations and real-world applications of the proposed measurement methods in enhancing power supply reliability and efficiency in all conditions. The implications based on the results will be beneficial to policymakers and other specialists who are making decisions involving designing and optimizing modern power systems. Furthermore, the paper aims to contribute to the existing discussion by providing further insights into the effectiveness of the proposed methods of measurement.

OBJECTIVES: To evaluate articular cartilage degeneration using quantitative three-dimensional ultrashort-echo-time cones adiabatic-T1ρ (3D UTE-Cones-AdiabT1ρ) imaging. METHODS: Sixty-six human subjects were recruited for this study. Kellgren-Lawrence (KL) grade and Whole-Organ Magnetic-Resonance-Imaging Score (WORMS) were evaluated by two musculoskeletal radiologists. The human subjects were categorized into three groups, namely normal controls (KL0), doubtful-minimal osteoarthritis (OA) (KL1-2), and moderate-severe OA (KL3-4). WORMS were regrouped to encompass the extent of lesions and the depth of lesions. The UTE-Cones-AdiabT1ρ values were obtained using 3D UTE-Cones data acquisitions preceded by seven paired adiabatic full passage pulses that corresponded to seven spin-locking times (TSLs) of 0, 12, 24, 36, 48, 72, and 96 ms. The performance of the UTE-Cones-AdiabT1ρ technique in evaluating the degeneration of knee cartilage was assessed via the ANOVA comparisons with subregional analysis and Spearmans correlation coefficient as well as the receiver-operating-characteristic (ROC) curve. RESULTS: UTE-Cones-AdiabT1ρ showed significant positive correlations with KL grade (r = 0.15, p < 0.05) and WORMS (r = 0.57, p < 0.05). Higher UTE-Cones-AdiabT1ρ values were observed in both larger and deeper lesions in the cartilage. The differences in UTE-Cones-AdiabT1ρ values among different extent and depth groups of cartilage lesions were all statistically significant (p < 0.05). Subregional analyses showed that the correlations between UTE-Cones-AdiabT1ρ and WORMS varied with the location of cartilage. The AUC value of UTE-Cones-AdiabT1ρ for mild cartilage degeneration (WORMS=1) was 0.8. The diagnostic threshold value of UTE-Cones-AdiabT1ρ for mild cartilage degeneration was 39.4 ms with 80.8% sensitivity. CONCLUSIONS: The 3D UTE-Cones-AdiabT1ρ sequence can be useful in quantitative evaluation of articular cartilage degeneration. KEY POINTS: • The 3D UTE-Cones-AdiabT1ρ sequence can distinguish mild cartilage degeneration from normal cartilage with a diagnostic threshold value of 39.4 ms for mild cartilage degeneration with 80.8% sensitivity. • Higher UTE-Cones-AdiabT1ρ values were observed in both larger and deeper lesions in the articular cartilage. • UTE-Cones-AdiabT1ρ is a promising biomarker for quantitative evaluation of early cartilage degeneration.

Sustainable development stands as the principal paradigm for global economic progress in the 21st century. However, the challenge of measuring the sustainability of economic systems across various types and levels persists. This study introduces a novel methodological approach to assessing the sustainability levels of production systems. The objective is to substantiate a method for quantifying the sustainability of production systems. Building upon a previously devised graphical model depicting the life cycle of technological development in production, the proposed method involves scoring the sustainability of production systems at different hierarchy levels (manufacturers, industries, production types). The resulting sustainability index enables making comparisons across different periods and entities. Practical implementation of the proposed method is demonstrated through a twelve-year analysis of three major companies operating in the North and the Arctic (Alrosa, Novatek, and Norilsk Nickel) and the Kola Mining and Metallurgical Company, a subsidiary of Norilsk Nickel. Additionally, a fifteen-year analysis of industrial production by type in four Russian Arctic regions is presented. Calculations reveal a generally low level of sustainability across all analyzed entities. The study identifies the cyclical nature of technological development in manufacturing enterprises as a significant influence on sustainability levels. Accounting for this factor in sustainability assessments will equip authorities and corporate managers in the Arctic regions to make more informed strategic decisions.

Abstract Nowadays being resilient is a requirement of all companies and more in general supply chains, as a consequence of the frequent disruptions which repeatedly affect systems and challenge markets from different sides. But how to state whether a company and its related supply chain are resilient or not? To address the present issue, a literature review was carried out on documents proposing quantitative tools or metrics for quantifying the resilience level of an agri-food supply chain, which is a specific field subjected to several threats and accordingly deserving attention. Due to the limited number of documents retrieved (i.e., 26 articles), stressing the gap to be filled in literature, mainly bibliometric analyses were performed on the sample, but contents were also deepened, resuming the different tools available at present. Results reflect the call for the development of models aiming at assessing the resilience of these systems before disruptions and non-controlled events occur; moreover, the industrial level turned out to be neglected, given the fact that all the studies deal with the farm stage (and in general agricultural activities).

Fish passage facilities are essential for restoring river connectivity and protecting ecosystems, effectively balancing economic and ecological benefits. Systematic and comprehensive monitoring, assessment, and optimized management are therefore crucial. This study quantitatively evaluated the entire upstream migration process of fish from the downstream river to the entrance and exit of the fishway and investigated the upstream movement patterns of fish under various environmental factors. A total of 19 fish species were monitored in the Heishuihe River downstream of the dam, with 15 species reaching the fishway entrance and 12 species successfully passing through it. The entrance attraction and passage rates of the vertical-slot fishway at the Songxin hydropower station were 15.7% and 40.42%, respectively. The best upstream performance was observed in May, with fish demonstrating better upstream timing and speed during nighttime compared to daytime. Specifically, the highest entrance attraction efficiency was recorded at a flow rate of 6–7 m3/s and a temperature of 19–20 °C, while the optimal passage efficiency was observed at a flow rate of 0–0.5 m3/s and a temperature of 17–20 °C. Additionally, a multifactorial Cox proportional hazards regression model was constructed to identify key factors influencing the probability of fishway entrance attraction and successful passage. The model elucidated the impact patterns of these key factors on fish upstream migration, ultimately generating an alignment diagram for prediction and control. This study provides a theoretical foundation and data support for developing optimized operational schedules for fishways. The findings offer a more comprehensive and systematic approach for monitoring and evaluating fish passage facilities, serving as a scientific basis for ecological restoration and fish conservation in this region and similar areas.

A high proportion of distributed generators (DGs) connected to the distribution network causes a significant change in the normal and fault currents of the system as well as in the linearization of the characteristics. It is difficult to adapt to conventional protection. This paper theoretically analyzes the possible impact of fault current characteristics on traditional protection based on single-ended informativeness after connecting to DGs. From the perspective of protection action, the evaluation index system of DG protection is established by considering the maximum short-circuit current output from DG. Combined with the relay protection requirements, the calculation method of evaluation indexes is given concerning the protection characteristics and expert experience. An analytic hierarchy process (AHP) and a CRITIC combination assignment method based on the principle of minimum information identification are proposed. The scores of different types of protection before and after DG access are calculated using the proposed methodology employing a typical distribution network example. The proposed method can quantitatively obtain the distribution network protection adaptability boundary. In the actual calculation example selected in this paper, a DG can reasonably improve the adaptability of the three-stage current protection when it increases the current amplitude at a penetration rate of 50%; the DG needs to adjust the three-stage current protection rectification value when it decreases the current amplitude at a penetration rate of 20%; and adaptive overcurrent protection and inverse time limit current protection need to be adjusted when the penetration rate of DG is 50%. Compared with the traditional protection evaluation method, the method adopted in this paper can intuitively derive the weak link between protection handling faults after DG access as well as the appropriate capacity of DG to improve protection performance. It can provide a powerful reference for the optimization of protection schemes after the high percentage of DG access.