bluuebunny/crossref_metadata_2025 huggingface dataset:
On the Robustness of Compressed Models with Class Imbalance
Authors: Ali Baraa Saeed , Sarhan Nabil , Alawad Mohammed
Published: November 2024

Deep learning (DL) models have been deployed in various platforms, including resource-constrained environments such as edge computing, smartphones, and personal devices. Such deployment requires models to have smaller sizes and memory footprints. To this end, many model compression techniques proposed in the literature successfully reduce model sizes and maintain comparable accuracy. However, the robustness of compressed DL models against class imbalance, a natural phenomenon in real-life datasets, is still under-explored. We present a comprehensive experimental study of the performance and robustness of compressed DL models when trained on class-imbalanced datasets. We investigate the robustness of compressed DL models using three popular compression techniques (pruning, quantization, and knowledge distillation) with class-imbalanced variants of the CIFAR-10 dataset and show that compressed DL models are not robust against class imbalance in training datasets. We also show that different compression techniques have varying degrees of impact on the robustness of compressed DL models.
Rectal Cancer and Lateral Lymph Node Staging: Interobserver Agreement and Success in Predicting Locoregional Recurrence
Authors: Akkaya Hüseyin , Dilek Okan , Özdemir Selim , Öztürkçü Turgay , Gürbüz Mustafa , Tas Zeynel Abidin , Çetinkünar Süleyman , Gülek Bozkurt
Published: November 2024

Objectives: To evaluate the agreement among radiologists in the evaluation of rectal cancer staging and restaging (after neoadjuvant therapy) and assess whether locoregional recurrence can be predicted with this information. Materials and Methods: Pre-neoadjuvant and after-neoadjuvant therapy magnetic resonance imaging (MRI) examinations of 239 patients diagnosed with locally advanced rectal cancer were retrospectively reviewed by three radiologists. The agreement between the MRI findings (localization of tumor involvement, tumor coverage pattern, external sphincter involvement, mucin content of the mass and lymph node, changes in the peritoneum, MRI T stage, distance between tumor and MRF, submucosal sign, classification of locoregional lymph node, and EMVI) was discussed at the September 2023 meeting of the Society of Abdominal Radiology (SAR) and the interobserver and histopathological findings were examined. The patients were evaluated according to locoregional rectal cancer and lateral lymph node (LLN) staging, and re-staging was performed using MRI images after neoadjuvant treatment. The ability of the locoregional and LLN staging system to predict locoregional recurrence was evaluated. Results: Among the parameters examined, for the MRI T stage and distance between the tumor and the MRF, a moderate agreement (kappa values: 0.61–0.80) was obtained, while for all other parameters, the interobserver agreement was notably high (kappa values 0.81–1.00). LLNs during the restaging with an OR of 2.1 (95% CI = 0.33–4.87, p = 0.004) and a distance between the tumor and the MRF of less than 1 mm with an OR of 2.1 (95% CI = 1.12–3.94, p = 0.023) affected locoregional recurrence. A multivariable Cox regression test revealed that the restaging of lymph nodes among the relevant parameters had an impact on locoregional recurrence, with an OR of 1.6 (95% CI = 0.32–1.82, p = 0.047). With the LLN staging system, an increase in stage was observed in 37 patients (15.5%), and locoregional recurrence was detected in 33 of them (89.2%) (p < 0.001). Conclusions: LLN staging is not only successful in predicting locoregional recurrence among MRI parameters but is also associated with a very high level of interobserver agreement. The presence of positive LLN in the restaging phase is one of the most valuable MRI parameters for poor prognosis.
Four-Dimensional Flow MRI for Cardiovascular Evaluation (4DCarE): A Prospective Non-Inferiority Study of a Rapid Cardiac MRI Exam: Study Protocol and Pilot Analysis
Authors: Qin Jiaxing Jason , Gok Mustafa , Gholipour Alireza , LoPilato Jordan , Kirkby Max , Poole Christopher , Smith Paul , Grover Rominder , Grieve Stuart M.
Published: November 2024

Background: Accurate measurements of flow and ventricular volume and function are critical for clinical decision-making in cardiovascular medicine. Cardiac magnetic resonance (CMR) is the current gold standard for ventricular functional evaluation but is relatively expensive and time-consuming, thus limiting the scale of clinical applications. New volumetric acquisition techniques, such as four-dimensional flow (4D-flow) and three-dimensional volumetric cine (3D-cine) MRI, could potentially reduce acquisition time without loss in accuracy; however, this has not been formally tested on a large scale. Methods: 4DCarE (4D-flow MRI for cardiovascular evaluation) is a prospective, multi-centre study designed to test the non-inferiority of a compressed 20 min exam based on volumetric CMR compared with a conventional CMR exam (45–60 min). The compressed exam utilises 4D-flow together with a single breath-hold 3D-cine to provide a rapid, accurate quantitative assessment of the whole heart function. Outcome measures are (i) flow and chamber volume measurements and (ii) overall functional evaluation. Secondary analyses will explore clinical applications of 4D-flow-derived parameters, including wall shear stress, flow kinetic energy quantification, and vortex analysis in large-scale cohorts. A target of 1200 participants will enter the study across three sites. The analysis will be performed at a single core laboratory site. Pilot Results: We present a pilot analysis of 196 participants comparing flow measurements obtained by 4D-flow and conventional 2D phase contrast, which demonstrated moderate–good consistency in ascending aorta and main pulmonary artery flow measurements between the two techniques. Four-dimensional flow underestimated the flow compared with 2D-PC, by approximately 3 mL/beat in both vessels. Conclusions: We present the study protocol of a prospective non-inferiority study of a rapid cardiac MRI exam compared with conventional CMR. The pilot analysis supports the continuation of the study. Study Registration: This study is registered with the Australia and New Zealand Clinical Trials Registry (Registry number ACTRN12622000047796, Universal Trial Number: U1111-1270-6509, registered 17 January 2022—Retrospectively registered).
Elevated Calprotectin Levels Reveal Loss of Vascular Pattern and Atrophy of Villi in Ileum by Digital Chromoendoscopy and Magnification Colonoscopy in Patients with Spondyloarthritis Without Having Inflammatory Bowel Disease
Authors: De Avila Juliette , Flórez-Sarmiento Cristian , Parra-Izquierdo Viviana , Bautista-Molano Wilson , Chamorro-Melo Magaly , Beltrán-Ostos Adriana , Jaimes Diego Alejandro , Khoury Valery , Chila-Moreno Lorena , Ramos-Casallas Alejandro , Bello-Gualtero Juan Manuel , Gutiérrez Jaiber , Pacheco-Tena Cesar , Chalem Choueka Philippe Selim , Romero-Sánchez Consuelo
Published: November 2024

Objective: This study aimed to establish a correlation between fecal calprotectin levels (FC) and intestinal inflammation in patients with spondyloarthritis without inflammatory bowel disease. Methods: A total of 180 SpA patients were included in the study of them 20.6% required Digital chromoendoscopy (DCE). FC, C-reactive protein (CRP), HLA-B*27 and clinical indices were assessed. Results: Positive fecal calprotectin (PFC) and high fecal calprotectin (HFC) levels were observed in 27.0% and 16.0% of patients, respectively. HFC correlated with a Bath Ankylosing Spondylitis Functional Index (BASFI) score > 4.0 (p = 0.036) and a Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) score > 4.0 (p = 0.047). Loss of vascular pattern in the ileum (LVPI) was observed in approximately 70.0% of patients (p = 0.005), which was associated with PFC and abdominal bloating (p = 0.020). LVPI was also linked to microscopic inflammation (p = 0.012) and PFC with abdominal pain (p = 0.007). HFC was significantly associated with alterations in the ileal mucosa (p = 0.009) and LVPI (p = 0.001). Additionally, HFC and diarrhea were associated with LVPI in 27.3% of patients (p = 0.037) and with erosions in the ileum (p = 0.031). Chronic ileal inflammation correlated with HFC (p = 0.015), ASDAS-CRP > 2.1 (p = 0.09), LVPI (p = 0.001), and villous atrophy (p = 0.014). Factorial analysis of mixed data (FAMD) identified significant associations between micro/macroscopic changes in chronic inflammation and HFC (CC = 0.837); increased levels of CRP and microscopic acute inflammation (CC = 0.792); and clinical activity scores of ASDAS-CRP and BASDAI (CC = 0.914). Conlusions: FC levels were significantly elevated in patients with SpA, particularly those with LVPI, suggesting their potential as a valuable biomarker for managing SpA when joint manifestations coincide with ileal villous atrophy. This indicates a shared immune pathway linked to chronic gut damage.
Usable STEM: Student Outcomes in Science and Engineering Associated with the Iterative Science and Engineering Instructional Model
Authors: Songer Nancy B. , Calabrese Julia E. , Cordner Holly , Aina Daniel
Published: November 2024

While our world consistently presents complicated, interdisciplinary problems with STEM foundations, most pre-university curricula do not encourage drawing on multidisciplinary knowledge in the sciences and engineering to create solutions. We developed an instructional approach, Iterative Science and Engineering (ISE), that cycles through scientific investigation and engineering design and culminates in constructing a solution to a local environmental challenge. Next, we created, revised, and evaluated a six-week ISE curricular program, Invasive Insects, culminating in 6th–9th-grade students building traps to mitigate local invasive insect populations. Over three Design-Based Research (DBR) cycles, we gathered and analyzed identical pre and post-test data from 554 adolescents to address the research question: what three-dimensional (3D) science and engineering knowledge do adolescents demonstrate over three DBR cycles associated with a curricular program following the Iterative Science and Engineering instructional approach? Results document students’ significant statistical improvements, with differential outcomes in different cycles. For example, most students demonstrated significant learning of 3D science and engineering argument construction in all cycles—still, students only significantly improved engineering design when they performed guided reflection on their designs and physically built a second trap. Our results suggest that the development, refinement, and empirical evaluation of an ISE curricular program led to students’ design, building, evaluation, and sharing of their learning of mitigating local invasive insect populations. To address complex, interdisciplinary challenges, we must provide opportunities for fluid and iterative STEM learning through scientific investigation and engineering design cycles.
The Early Career Framework: Why Context Matters for Teacher Professional Development
Authors: Ovenden-Hope Tanya , Kirkpatrick Holly
Published: November 2024

The Department for Education developed the Teacher Recruitment and Retention Strategy in 2019 for state-funded schools in England as a response to increasing challenges in teacher supply. Core to the strategy was a mandatory, nationally funded, two-year Early Career Framework (ECF) of professional development for Early Career Teachers (ECTs) in state-funded schools. The ECF began in September 2021 and provided a nationally standardised programme of professional development for Year One and Two teachers. This paper presents the findings of qualitative research that contribute to the understanding of the ECF for ECTs’ professional development. Semi-structured interviews were used to explore ECTs’ (n = 25) and mentors’ (n = 17) experiences of the first two years of the ECF (2021–2023). System mapping was used to contextualise data, with primary data examined via coding and theme analysis. Using a complexity theory lens, we conclude that the ECF system affects ECTs and mentors in a non-linear way. Feedback loops that effected change were present, but the ECF’s effectiveness was highly context-dependent with tension between structure and flexibility. We contend that future enhancements to the ECF should focus on adaptability, fostering positive feedback loops, and recognizing the context-dependent nature of teacher development.
Reconstruction of Minimum May Temperatures in Northeast China Since 1797 AD Based on Tree Ring Width in Pinus sylvestris var. mongolica
Authors: Wang Xinrui , Wang Zhaopeng , Liu Muxiao , Zhang Dongyou , Luo Taoran , Li Xiangyou , Du Bingyun , Qiu Yang , Li Linlin , Zhao Yueru
Published: November 2024

We developed a tree ring width chronology from 1797 to 2020 (224 years) for the northwestern foothills of the Greater Khingan Mountains (GKMs) in northeastern China using 51 tree ring sample cores from 24 Pinus sylvestris var. mongolica (PSM). Pearson’s correlation analysis was used to analyze the relationship between tree ring width and regional climate factors. The standardized chronology was positively associated with the minimum temperature (Tmin) in the previous May (r = 0.721, p < 0.01), indicating that this parameter was the main climatic factor limiting PSM growth in the region. We established a secure reconstruction equation for the May Tmin from 1797 to 2020. There were 31 warm and 43 cold years in the 224-year reconstructed temperature series, accounting for 13.8% and 19.2% of the total years, respectively. Warm periods were observed in 1820–1829, 1877–1898, 1947–1958, and 1991–2020, whereas cold periods occurred in 1820, 1829–1870, 1899–1927, 1934–1947, and 1960–1988. The observed temperature sequence was highly consistent with the reconstructed sequence from the tree rings, which verified the reliability of the reconstructed results. The spatial correlation analysis indicated that the reconstructed temperature sequence accurately represented the temperature changes in the northwestern foothills of the GKM and surrounding areas. Multi-window spectral analysis and wavelet analysis revealed significant periodic fluctuations from 2 to 6 years, 21.2 years, 48.5 years, and 102.2 years. These periodic variations may be related to the El Niño–Southern Oscillation (ENSO), the Atlantic Multi-Year Intergenerational Oscillation (AMO), the Pacific Decadal Oscillation (PDO), and solar activity. This study expands the existing climate records in the region and provides valuable data support for understanding climate change patterns in the GKM and the scientific predictions of future climate changes.
Concentration of Nutrients in Individual Organs of European Beech (Fagus sylvatica L.) Seedlings and Root System Development as a Result of Different Fertilization
Authors: Jasik Michał , Staszel-Szlachta Karolina , Małek Stanisław , Banach Jacek
Published: November 2024

The large-scale dieback of spruce monocultures, especially in the lower alpine, has become a significant problem and has necessitated the restoration of these areas, mainly using seedlings produced in forest nurseries. The primary source of nutrients for seedlings can be slow-release fertilizers and an appropriate dose of fertilizer improves the efficiency of its use and minimizes the negative environmental impact associated with the excessive use of mineral fertilizers. Aims: This study aimed to evaluate the effect of applying different fertilizer dose combinations on the accumulation of macronutrients in different parts of the seedlings (roots, shoots, and leaves) and on the morphology and development of fine roots. Methods: This research was carried out on producing beech seedlings with the application of starter soil fertilization with Yara Mila Complex (YMC) and Osmocote Exact Standard 3-4M (OES) fertilizers in four varying doses. Results: No deficiency of the analyzed macronutrients was noted in any of the tested fertilization variants. The highest content of all analyzed macronutrients was recorded in the leaves of beech seedlings, with values in roots and shoots being several times lower. The mixed fertilization variant OES 1.0 + YMC 1.0 shows a positive correlation with all analyzed elements and the parameters DQI (Dickson Quality Index), SA (Surface Area), RV (Root Volume), and mass. Conclusions: Results confirm the hypothesis that applying a mixture of fast-acting (YMC) and slow-acting (OES) fertilizer positively affects the nutrition and accumulation of macronutrients and the development of root systems in beech seedlings compared to fertilization with a single fertilizer.
Predicting Operational Events in Mechanized Weed Control Operations by Offline Multi-Modal Data and Machine Learning Provides Highly Accurate Classification in Time Domain
Authors: Borz Stelian Alexandru , Proto Andrea Rosario
Published: November 2024

Monitoring of operations has become a critical activity in forestry, aiming to provide the data required by planning and production management. Conventional methods, on the other hand, come at a high expense of resources. A neural network was trained, validated, and tested in this study based on multi-modal data to classify relevant operational events in mechanized weed control operations. The architecture of a neural network was tuned in terms of the number of hidden layers and neurons, and the regularization term was set at various values to obtain optimally tuned models for three data modalities: triaxial acceleration data coupled with speed extracted from GNSS signals (AS), triaxial acceleration (A), and speed alone (S). In the training and validation phase, the models based on AS and A achieved a very high classification accuracy, accounting for 92 to 93% when considering four relevant events. In the testing phase, which was run on unseen data, the classification accuracy reached figures of 91 to 92%, indicating a good generalization ability of the models. The results point out that multimodal data are able to provide the features for distinguishing events and add spatial context to the monitored operations, standing as a suitable solution for offline, partly automated monitoring. Future studies are required to see how the capabilities of online, real-time technologies such as deep learning coupled with computer vision can add more context and improve classification performance.
A Combination of Traditional and Mechanized Logging for Protected Areas
Authors: Magagnotti Natascia , Eberhard Benno , Spinelli Raffaele
Published: November 2024

Teaming draught animals with modern forest machines may offer an innovative low-impact solution to biomass harvesting in protected areas. Machine traffic only occurs on pre-designated access corridors set 50 m apart, while trees are cut with chainsaws and dragged to the corridor’s edge by draught horses. The operation presented in this study included one chainsaw operator, two draught horses with their driver, an excavator-based processor with its driver and a helper equipped with a chainsaw for knocking off forks and large branches, and a light forwarder (7 t) with his driver. Researchers assessed work productivity and harvesting cost through a time study repeated on 20 sample plots. Descriptive statistics were used to estimate productivity and cost benchmark figures, which were matched against the existing references for the traditional alternatives. The new system achieved a productivity in excess of 4 m3 over bark per scheduled hour (including delays). Harvesting cost averaged EUR 53 m−3, which was between 15% and 30% cheaper than the traditional alternatives. What is more, the new system increased labor and horse productivity by a factor of 2 and 7, respectively, which can effectively counteract the increasingly severe shortage of men and animals.
Global Warming Will Drive Spatial Expansion of Prunus mira Koehne in Alpine Areas, Southeast Qinghai–Tibet Plateau
Authors: Gu Jinkai , He Qiang , Li Qingwan , Li Qinglin , Xiang Shengjian , Li Wanchi , Jin Aohang , Wang Shunbin , Liu Feipeng , Tang Guoyong
Published: November 2024

Global climate change exerts great effects on plant distributions. However, the response of Prunus mira Koehne, one of the most important species for ecological protection in the southeast of the Qinghai–Tibet Plateau, to climate change remains unclear. To explore the ecological factors affecting the distribution of P. mira in the context of global climate change, the MaxENT model is used to predict suitable habitats for P. mira. Our study indicated that the distribution of Prunus mira Koehn is primarily influenced by temperature rather than precipitation, and warming can facilitate the growth of P. mira. When the temperature seasonality (bio4) ranges from 134 to 576 and the mean temperature of the coldest quarter (bio11) ranges from −2.6 °C to 2.7 °C, it is most conducive to the growth of P. mira. Among the four climate scenarios, the optimal habitat for P. mira is predominantly concentrated in river valley areas and is expected to expand into higher altitude regions, particularly in the north and southeast. SSP245 and SSP370 climate pathways are conducive to the growth and spatial expansion of P. mira. Our findings highlight the significant impact of temperature not precipitation on the distribution of P. mira, and this insight is crucial for the stability and conservation of this ecologically significant plant species.
Optimizing GEDI Canopy Height Estimation and Analyzing Error Impact Factors Under Highly Complex Terrain and High-Density Vegetation Conditions
Authors: Chen Runbo , Wang Xinchuang , Liu Xuejie , Wang Shunzhong
Published: November 2024

The Global Ecosystem Dynamics Investigation (GEDI) system provides essential data for estimating forest canopy height on a global scale. However, factors such as complex topography and dense canopy can significantly reduce the accuracy of GEDI canopy height estimations. We selected the South Taihang region of Henan Province, China, as our study area and proposed an optimization framework to improve GEDI canopy height estimation accuracy. This framework includes correcting geolocation errors in GEDI footprints, screening and analyzing features that affect estimation errors, and combining two regression models with feature selection methods. Our findings reveal a geolocation error of 4 to 6 m in GEDI footprints at the orbital scale, along with an overestimation of GEDI canopy height in the South Taihang region. Relative height (RH), waveform characteristics, topographic features, and canopy cover significantly influenced the estimation error. Some studies have suggested that GEDI canopy height estimates for areas with high canopy cover lead to underestimation, However, our study found that accuracy increased with higher canopy cover in complex terrain and dense vegetation. The model’s performance improved significantly after incorporating the canopy cover parameter into the optimization model. Overall, the R2 of the best-optimized model was improved from 0.06 to 0.61, the RMSE was decreased from 8.73 m to 2.23 m, and the rRMSE decreased from 65% to 17%, resulting in an accuracy improvement of 74.45%. In general, this study reveals the factors affecting the accuracy of GEDI canopy height estimation in areas with complex terrain and dense vegetation cover, on the premise of minimizing GEDI geolocation errors. Employing the proposed optimization framework significantly enhanced the accuracy of GEDI canopy height estimates. This study also highlighted the crucial role of canopy cover in improving the precision of GEDI canopy height estimation, providing an effective approach for forest monitoring in such regions and vegetation conditions. Future studies should further improve the classification of tree species and expand the diversity of sample tree species to test the accuracy of canopy height estimated by GEDI in different forest structures, consider the distortion of optical remote sensing images caused by rugged terrain, and further mine the information in GEDI waveforms so as to enhance the applicability of the optimization framework in more diverse forest environments.
A Spectral–Spatial Approach for the Classification of Tree Cover Density in Mediterranean Biomes Using Sentinel-2 Imagery
Authors: Sismanis Michail , Gitas Ioannis Z. , Georgopoulos Nikos , Stavrakoudis Dimitris , Gkounti Eleni , Antoniadis Konstantinos
Published: November 2024

Tree canopy cover is an important forest inventory parameter and a critical component for the in-depth mapping of forest fuels. This research examines the potential of employing single-date Sentinel-2 multispectral imagery, combined with contextual spatial information, to classify areas based on their tree cover density using Random Forest classifiers. Three spatial information extraction methods are investigated for their capacity to acutely detect canopy cover: two based on Gray-Level Co-Occurrence Matrix (GLCM) features and one based on segment statistics. The research was carried out in three different biomes in Greece, in a total study area of 23,644 km2. Three tree cover classes were considered, namely, non-forest (cover < 15%), open forest (cover = 15%–70%), and closed forest (cover ≥ 70%), based on the requirements set for fuel mapping in Europe. Results indicate that the best approach identified delivers F1-scores ranging 70%–75% for all study areas, significantly improving results over the other alternatives. Overall, the synergistic use of spectral and spatial features derived from Sentinel-2 images highlights a promising approach for the generation of tree cover density information layers in Mediterranean regions, enabling the creation of additional information in support of the detailed mapping of forest fuels.
Physiological Indices of Five Hybrid Larch Seedlings Under Low-Temperature Stress
Authors: Ning Yajing , Zhao Wenna , Cui Chengpeng , Zhang Xinxin , Zhao Xin , Liu Yu , Wang Chen , Zhang Hanguo , Li Shujuan
Published: November 2024

Larch is a cold-temperate tree species native to the northern hemisphere and tolerant to low temperatures. It is one of the most significant timber species in Northeast China. This study examined growth changes in hybrid larch seedlings from five lines to explore the physiological responses of these seedlings to low-temperature stress. Using 8-month-old hybrids of larch seedlings, we subjected the plants to cold stress at 4 °C and freezing stress at −20 °C over three periods of 6, 12, and 24 h, and treatment at 25 °C was used as a control. Results showed that significant correlations were found among the growth indicators, with larch line 1306 having the lowest incremental growth indicators, the largest root-to-crown ratio, and better cold tolerance than the other larch lines. The levels of soluble sugars (SSs), soluble proteins (SPs), malondialdehyde (MDA), and relative electrolyte leakage (REC) increased significantly in all lines under low-temperature stress. The activities of superoxide dismutase (SOD) and catalase (CAT) showed variation over time. Significant correlations were found between MDA and REL, SS, SR, Pro, CAT, and SOD in most of the lines; no significant correlation was found between MDA and the other indices in lines 1301 and 1309; and significant correlations were found between most of the physiological indices in line 1306.
Prediction of Wildfire Occurrence in the Southern Forest Regions of China in the Future Scenario
Authors: Li Jing , Huang Duan , Long Beiping , Shao Yakui , Xiao Mengwei , Sun Linhao , Li Xusheng , Wang Aiai , Chen Xuanchi , Li Weike
Published: November 2024

In the context of global climate warming, climate change is subtly reshaping the patterns of wildfires. Therefore, it is particularly urgent to conduct in-depth research on climate change, wildfires, and their management strategies. This study relies on detailed fire point data from 2001 to 2020, skillfully incorporating a spatial autocorrelation analysis to uncover the mysteries of spatial heterogeneity, while comprehensively considering the influences of multiple factors such as climate, terrain, vegetation, and socioeconomic conditions. To simulate fire conditions under future climates, we adopted the BCC-CSM2-MR climate model, presetting temperature and precipitation data for two scenarios: a sustainable low-development path and a high-conventional-development path. The core findings of the study include the following: (i) In terms of spatial heterogeneity exploration, global autocorrelation analysis reveals a striking pattern: within the southern forest region, 63 cities exhibiting a low–low correlation are tightly clustered in provinces such as Hubei, Anhui, and Zhejiang, while 48 cities with a high–high correlation are primarily distributed in Guangxi and Guangdong. Local autocorrelation analysis further refines this observation, indicating that 24 high–high correlated cities are highly concentrated in specific areas, 14 low–low correlated cities are located in Hainan, and there are only 3 sparsely distributed cities with a low–high correlation. (ii) During the model construction and validation process, this study innovatively adopted the LR-RF-SVM ensemble model, which demonstrated exceptional performance indicators: an accuracy of 91.97%, an AUC value of 97.09%, an F1 score of 92.13%, a precision of 90.75%, and a recall rate of 93.55%. These figures, significantly outperforming those of the single models SVM and RF, strongly validate the superiority of the ensemble learning approach. (iii) Regarding predictions under future climate scenarios, the research findings indicate that, compared to the current fire situation in southern forest areas, the spatial distribution of wildfires will exhibit a noticeable expansion trend. High-risk regions will not only encompass multiple cities in Hunan, Hubei, southern Anhui, all of Jiangxi, and Zhejiang but will also extend northward into southern forest areas that were previously considered low-risk, suggesting a gradual northward spread of fire risk. Notably, despite the relatively lower fire risk in some areas of Fujian Province under the SS585 scenario, overall, the probability of wildfires occurring in 2090 is slightly higher than that in 2030, further highlighting the persistent intensification of forest fire risk due to climate change.
The Driving Factors of the Tradeoff-Synergistic Relationship Among Forest Ecosystem Service Values in the Yangtze River Delta, China
Authors: Chen Shulin , Wu Jian
Published: November 2024

The forest ecosystem is one of the planet’s critical ecosystems. Identifying the tradeoff-synergistic relationships among forest ecosystem service values and exploring their driving factors in the Yangtze River Delta are crucial for promoting the optimal overall benefits of regional ecosystem service values and realizing a mutually beneficial scenario that harmonizes regional socio-economic development with ecological and environmental conservation. The forest ecosystem service value in the Yangtze River Delta was evaluated through the improved equivalent factor method. Furthermore, an examination of the tradeoff-synergistic relationship among these ecosystem service values, along with their driving factors, was performed utilizing both the Pearson correlation coefficient method and the Geodetector model. The findings reveal that from 2000 to 2020, the forest ecosystem service values presented a general growth trend in the Yangtze River Delta, with higher values noted in the southern areas and lower values found in the northern regions. The average annual forest ecosystem service value was 279 billion RMB. The tradeoff-synergistic relationship among forest ecosystem service values mainly showed a synergistic relationship, while a significant tradeoff relationship was observed between the values of support and cultural services. The factors influencing the tradeoff-synergistic relationship among forest ecosystem service values included precipitation, normalized difference vegetation index, and temperature. Consequently, local governments should enhance forest coverage, particularly by expanding the regions of evergreen broadleaf, deciduous broadleaf, and coniferous forests. They should also proactively seek ways to realize the value of forest ecosystem services.
Mapping the Future: Climate-Induced Changes in Aboveground Live-Biomass Carbon Density Across Mexico’s Coniferous Forests
Authors: Sandoval-García Carmela , Méndez-González Jorge , Andrés Flores , Villavicencio-Gutiérrez Eulalia Edith , Paz-Pellat Fernando , Flores-López Celestino , Cornejo-Oviedo Eladio Heriberto , Zermeño-González Alejandro , Sosa-Díaz Librado , García-Guzmán Marino , Villarreal-Quintanilla José Ángel
Published: November 2024

Climate variations in temperature and precipitation significantly impact forest productivity. Precipitation influences the physiology and growth of species, while temperature regulates photosynthesis, respiration, and transpiration. This study developed bioclimatic models to assess how climate change will affect the carbon density of aboveground biomass (cdAGB) in Mexico’s coniferous forests for 2050 and 2070. We used cdAGB data from the National Forest and Soils Inventory (INFyS) of Mexico and 19 bioclimatic variables from WorldClim ver. 2.0. The best predictors of cdAGB were obtained using machine learning techniques with the “caret” library in R. The model was trained with 80% of the data and validated with the remaining 20% using Generalized Linear Models (GLMs). Current cdAGB prediction maps were generated using the best predictors. Future cdAGB was calculated with the average of three general circulation models (GCMs) of future climate projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5), under four Representative Concentration Pathways (RCPs): 2.6, 4.5, 6.0, and 8.5 W/m2. The results indicate cdAGB losses in all climate scenarios, reaching up to 15 Mg C ha−1, and could occur under the RCP 8.5 scenario by 2070 in the central region of the country. Temperature-related variables are more important than precipitation variables. Bioclimatic variables can explain up to 20% of the total variance in cdAGB. The temperature in the study area is expected to increase by 2.66 °C by 2050 and 3.36 °C by 2070, while precipitation is expected to fluctuate by ±10% relative to the current values, which could geographically redistribute the cdAGB of the country’s coniferous forests. These findings underscore the need for forest management to focus not only on biodiversity conservation but also on the carbon storage capacity of these ecosystems.
Infiltration and Hydrophobicity in Burnt Forest Soils on Mediterranean Mountains
Authors: Mongil-Manso Jorge , Ruiz-Pérez Verónica , López-Sánchez Aida
Published: November 2024

Forest fires are a major global environmental problem, especially for forest ecosystems and specifically in Mediterranean climate zones. These fires can seriously impact hydrologic processes and soil erosion, which can cause water pollution and flooding. The aim of this work is to assess the effect of forest fire on the hydrologic processes in the soil, depending on soil properties. For this purpose, the infiltration rate has been measured by ring infiltration tester, and the hydrophobicity has been quantified by the “water drop penetration time” method in several soils of burnt and unburnt forest areas in the Mediterranean mountains. The infiltration rates obtained are higher in burnt than in unburnt soils (1130 and 891 mm·h−1, respectively), which contradicts most of the research in Mediterranean climates in southeast Spain with calcareous soils. Burnt soils show no hydrophobicity on the surface, but it is there when the soil is excavated by 1 cm. Additionally, burnt soils reveal a low frequency of hydrophobicity (in less than 30% of the samples) but more severe hydrophobicity (above 300 s); whereas, in unburnt soils, the frequency is higher (50%) but the values of hydrophobicity are lower. The results obtained clearly show the infiltration processes modified by fire, and these results may be useful for land managers, hydrologists, and those responsible for decision-making regarding the forest restoration of burnt land.
D299T Mutation in CYP76F14 Led to a Decrease in Wine Bouquet Precursor Production in Wine Grape
Authors: Liu Wanhao , Xiao Huilin , Shi Matthew , Tang Meiling , Song Zhizhong
Published: November 2024

Background: Bouquet is a crucial characteristic indicative of wine quality that develops during the aging stage. The cytochrome P450 VvCYP76F14 multi-functionally catalyzes linalool into (E)-8-hydroxylinalool, (E)-8-oxolinalool, and (E)-8-carboxylinalool, which are direct precursors for wine bouquet. Wine bouquet was closely related to VvCYP76F14 activities. Method: The VvCYP76F14 genes were cloned from five wine grape varieties using a homologous cloning method. The variation in residues of VvCYP76F14s were assessed by multiple alignment of amino acid sequences. Functional studies were implemented by in vitro enzyme activity and transient over-expression systems. Results: D299T variation was observed in VvCYP76F14s of ‘Yantai 2-2-08’, ‘Yantai 2-2-19’, and ‘Yantai 2-3-37’ offspring lines, which was correlated with the decreased content of wine bouquet precursors of (E)-8-hydroxylinalool, (E)-8-oxolinalool, and (E)-8-carboxylinalool, respectively. Notably, the key amino acid residue D299 was located at the phase 0 intron positions of VvCYP76F14 genes isolated from distinct wine grape varieties or offspring lines, respectively. Notably, VvCYP76F14s of the ‘Yantai2-2-08’, ‘Yantai 2-2-19’, and ‘Yantai 2-3-37’ mutant lines exhibited lower in vitro enzymatic activities than those of ‘L35’ and ‘Merlot’. In addition, the transient expression of VvCYP76F14 cloned from ‘L35’ and ‘Merlot’ restored the levels of wine bouquet precursors in berries of three D299T mutant lines, respectively, whereas VvCYP76F14 cloned from D299T mutant lines failed. Conclusions: D299T variation was observed in three offspring lines and D299T mutation in VvCYP76F14 led to the decrease in wine bouquet precursor contents. VvCYP76F14 was implicated in the regulation of wine bouquet precursors in wine grapes.
Effects of Density Stress During Transportation on the Antioxidant Activity and Immuno-Related Gene Expression in Yellowfin Seabream (Acanthopagrus latus Houttuyn, 1782)
Authors: Nong Xiulin , Zhu Kecheng , Guo Huayang , Liu Baosuo , Zhang Nan , Zhang Qin , Zhang Dianchang
Published: November 2024

Background/Objectives: Maintaining an optimum transport density is essential for protecting water quality, lowering stress levels, and increasing fish survival rates. Transporting marine fish fry involves major dangers. The purpose of this study was to evaluate the impact of transport stress at varying densities on the immune-related gene expression, antioxidant capacity, and survival rate of yellowfin seabream (Acanthopagrus latus) fry. Methods: A 12 h simulated transport experiment was conducted with A. latus fry divided into six density groups. For 1–2 cm fry, densities of 900, 1200, and 1500 fry per pouch were used to assess antioxidant enzyme activity; and for 4–5 cm fry, densities of 100, 125, and 150 fry per pouch were used for gene expression analysis. The key parameters measured included survival rates, antioxidant enzyme activities in liver and intestinal tissues, and expression levels of HSP90α and caspase-3 genes. Results: The findings showed that recovery time and density both affected the observed responses and that transport density had a substantial effect on antioxidant enzyme activity in all tissues. The intestinal and liver tissues showed a considerable decrease in antioxidant enzyme activity, suggesting that these tissues may be able to respond to oxidative stress. Moreover, under high-density transport conditions, there were notable increases in the expression of caspase-3 and HSP90α, suggesting the activation of immune response systems. This research offers valuable new understandings into the relationship between transport density and immunological and antioxidant modulation in A. latus fry. Conclusions: The results provide a scientific foundation for enhancing aquaculture transport conditions, which will ultimately lead to decreased fish mortality and improved general health during transit, resulting in more sustainable and effective aquaculture methods.
A Decade of Vertebrate Palaeontology Research in the UK: Bibliometric and Topic Modelling Analysis
Authors: Wang Haohan , Han Daoming , Pan Zhaohui
Published: November 2024

The study of vertebrate palaeontology in the United Kingdom holds a significant position in global research. This study conducts a comprehensive bibliometric analysis and topic modelling of UK vertebrate palaeontology from 2014 to 2023, utilizing data from the DeepBone database and Web of Science. A total of 2884 publications were analysed using bibliometric methods and Latent Dirichlet Allocation (LDA) to identify key research themes, institutional contributions, and international collaborations. The results reveal a significant increase in publication volume over the decade, peaking in 2021 with 374 papers. High-impact journals such as Nature and Science published approximately 6.60% of the total papers. The LDA analysis identified seven primary research themes, including morphology, palaeoanthropology, evolutionary biology, and geological periods. The Natural History Museum, University of Bristol, and University of Oxford emerged as major contributing institutions. Scientists from the United States were found to be the most frequent international collaborator. The average impact factor of the top journals in the field was 8.28 in 2024, highlighting the high quality of UK vertebrate palaeontology research. This study provides objective insights into the current state of vertebrate palaeontology in the UK, emphasizing its multidisciplinary nature, the importance of international cooperation in the field.
Genetics, Epigenetics, and the Environment: Are Precision Medicine, Provider Compassion, and Social Justice Effective Public Health Measures to Mitigate Disease Risk and Severity?
Authors: Iannaccone Philip M. , Ryznar Rebecca J. , Van Winkle Lon J.
Published: November 2024

Environmental forces impacting public health include exposure to toxic substances, adverse childhood experiences (ACEs), diet, and exercise. Here, we examine the first two of these forces in some detail since they may be amenable to correction through cultural, medical, and practitioner intervention. At the same time, changing people’s dietary and exercise routines are likely more resistant to these interventions and are referred to only incidentally in this review. That is, societal efforts could prevent exposure to toxicants and ACEs—not necessarily requiring cooperation by the affected individuals—whereas changing diet and exercise practices requires an individual’s discipline. Toxic substances considered in this review include endocrine disruptors, arsenics, 2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD), the organic solvent, Trichloroethylene (TCE), and the Benzo[a]pyrene (B[a]P) produced from incomplete combustion of tobacco and other organic materials. Exposure to each of these toxic substances may have serious adverse health effects, especially in genetically more susceptible individuals. For example, children of mothers exposed to the endocrine disruptor, Atrazine, have significantly lower birth length, weight, and head circumference. Moreover, male offspring exhibit genital abnormalities, and all of these effects may be transgenerational. However, analyses of interactions among genes, the environment, and epigenetic modifications have already revealed distinctive individual risks of adverse reactions to toxic exposure. So, interventions through precision medicine might improve the health of those exposed individuals. Adults previously exposed to more than one ACE (e.g., child abuse and inter-parental violence) are more likely to develop anxiety, cancer, and diabetes. Detecting ACE exposures in children in the general population is fraught with difficulty. Thus, the risks of ACEs to our health remain even more insidious than exposures to toxicants. Nevertheless, higher provider compassion is associated with significantly better clinical outcomes for patients with these afflictions. For all these reasons, the first major aim of this review is to recount several of the major forces contributing to or impairing public health. Our second major aim is to examine mitigating influences on these forces, including social justice and provider compassion in the setting of precision medicine. Idealistically, these mitigators might eventually lead to the development of more cooperative and compassionate cultures and societies.
The Role of Emotionality Stigma in Adolescent Mental Health: Measure Development and Call for Systems-Level Change
Authors: Seely Hayley D. , Chen Eileen
Published: November 2024

Youth mental health concerns, including substance abuse, continue to rise. With high co-morbidity rates and a marked lack of representation from diverse groups in study conceptualization, measurement, and implementation, efforts to understand factors impacting youth mental health from a cultural lens are needed. The theory of emotionality stigma posits that many mental health concerns can be understood based on one’s endorsement of emotionality stigma—the experience of stigma around emotions—which manifests within one’s context. Informed by this theory, the current study aimed to adapt and test a measure of emotionality stigma for diverse youth in combined mental health and substance use treatment. Targeted youth focus groups informed the adaptation of the pre-existing Emotionality Stigma Scale for implementation with diverse youth. Using a mixed methods approach, this measure was then tested for relevance, reliability, and validity in an outpatient youth clinic. Patients (N = 58, aged 13 to 21) reported their emotionality stigma, values, and attachment as part of routine monitoring. Based on qualitative feedback and quantitative analysis, our results illustrate the reliability and validity of the adapted Emotionality Stigma Scale and the relevance of this new measure for assessing youth mental health concerns and treatment outcomes. Areas for continued research are identified, and recommendations for implementation in conceptualization and treatment are provided.
The Economic Burden of Prostate Cancer in Antigua and Barbuda: A Prevalence-Based Cost-of-Illness Analysis from the Healthcare Provider Perspective
Authors: Bovell Andre A. N. , Ngcamphalala Cebisile , Rhudd Adrian , Ncayiyana Jabulani , Ginindza Themba G.
Published: November 2024

In Antigua and Barbuda, prostate cancer is known for its epidemiological burden; however, its economic burden on the healthcare system is unknown. This study aimed to assess the economic burden of prostate cancer in Antigua and Barbuda from the healthcare provider’s perspective. To conduct this prevalence-based cost-of-illness study, we used patient data abstracted from records at key study sites for the period of 2017–2021 to establish a yearly prevalence. Top-down and bottom-up approaches were used to estimate the direct medical cost. The cost was computed at the 2021 price level and converted to United States dollars (USD). The total annual direct medical cost for prostate cancer was estimated at USD 1.8 million (ranging between USD 1.4 million and USD 2.3 million). Stages II and III disease accounted for a combined greater share of the cost. The direct medical unit cost for screening, diagnosing, and treating a prostate cancer patient was USD 126,388.98. The top contributors to this cost were surgery (USD 20,913.42), renal complications/renal failure (USD 20,674.86), and hormonal therapy (USD 31,824.00). The results of this study provide evidence of the economic burden of prostate cancer in Antigua and Barbuda. Our findings appear reasonable. Besides contributing to further economic research, they will be useful for policy development, resource allocation, and cost containment measures.