bluuebunny/crossref_metadata_2025_split huggingface dataset:
Construction of ecological security pattern and connectivity stability evaluation under multi-scenarios simulation : a case study of desert-oasis area in the Yellow River Basin, China
Authors: Cheng Wenhao , Ma Caihong , Li Tongsheng , Liu Yuanyuan 
Published: January 2024

Abstract
Land use change can often threaten ecological space and cause enormous impacts on the ecosystem sustainability, and ecological security patterns (ESPs) had been received more attention in spatial planing. Thus,this paper simulated land use change in future under four development scenarios for the urban agglomerations along the Yellow River Basin(YRB) in Ningxia, identified the ESPs,and assessed the stability of network connectivity for each scenario.The result showed that areas of ecological sources in 2035 under the natural development scenario(NDS),economic development scenario(EDS),food security scenario(FSS),and ecological protection scenario(EPS) are 834.82km2,715.46km2,785.56km2,and 1091.43km2,and the values of overall connectivity（OG）are 0.351,0.466,0.334,0.520,respectively.Under the EPS,the construction of ESPs will have the biggest ecological land use and the best network structure,not only can effectively protect natural ecological,but also reduce the cost of construction in reality.This study provides a valuable reference for diversity and uncertainty of future development,and helps decision-makers management different scales and development scenarios to improve the ecological level of the study area.
Using artificial neural network to evaluate salinity indices to identify rapeseed salinity tolerant cultivars
Authors: Saberi Ali Akbar , Ravari Seid Zabihalla , Mehrban Ahmad , Ganjali Hamid Reza , Oghan Hassan Amiri 
Published: January 2024

Abstract
In arid and semi-arid regions of the world, including Iran, soil salinity is one of the major abiotic stresses. One of the ways to achieve high performance in these areas is to use salt-tolerant varieties of canola. In order to evaluate the salt tolerance of canola genotypes based on the eight indices using analysis of variance, regression and an artificial neural network (ANN), 39 cultivars and liens of rapeseed were evaluated in terms of tolerance to salinity with the Artificial Neural Network and other statistical methods. Canola varieties were sown in a randomized complete block experiment with four replications in two not identical irrigation conditions (normal and salinity, respectively, 0.831 dSm−1 and 8.7 dSm−1) in Kerman, Iran. The experimental outcomes (the existence of a significant difference between cultivars, as well as the significance of the environmental × cultivar interaction effect and on the other hand the non-significance, 0.021, of the correlation between cultivar's performance in two irrigation conditions) showed that there are the necessary genetic diversity between genotypes for breeding purposes. The four endurance indices including harmonic mean, stress tolerance index, mean product, and geometric mean product had positive and significant correlations with seed performance in both irrigation conditions. According to this, these four indices were the best for predicting salinity tolerant cultivars. The varieties such as Talaye, Talaieh, T98007, Ahmadi, Modena, Option 500 and PP-4010 had high yield in both environments and they are recommended for cultivation in salty soils.
Association between mixed exposure of phthalates and migraine: Evidence from NHANES 2003-2004
Authors: Sun Yize , Yu Shencun , Wang Zheyi 
Published: January 2024

Abstract

Background
Estrogen fluctuations influence the incidence of migraine, and phthalates are representative chemicals for isoestrogens. However, the combined effects of phthalate exposure on migraine have not been explored. It’s also unknown whether the effects of phthalates on migraine are gender-specific.
Methods
We used the multiple logistic regression, weighted quantile sum (WQS), and bayesian kernel machine regression (BKMR) models to evaluate the associations between migraine and mixed phthalates in participants from NHANES 2003–2004.
Results
A total of 1310 participants were included in the study. In logistic regression, MEP was significantly associated with migraine in the second quartile (OR = 1.78, 95% CI = 1.17–2.70, P = 0.0067). The results stratified by sex showed no increase in the odds of current migraines after exposure to phthalate metabolites in either man or woman. The results in the positive mode showed that WQS index was significantly associated with migraine in crude model (OR = 1.33, 95% CI = 1.06–1.67, P = 0.014), but not in fully adjusted models (OR = 1.05, 95% CI = 0.83–1.34, P = 0.693). In the negative WQS model, the difference was not statistically significant. MHH and MC1 were the most weighted chemicals in the positive and negative modes, respectively. In BKMR analysis, when the chemical concentrations were in 50 percent digits or higher, the potential continuous outcome trend for migraine increased relative to their 45 percent digits, but the upward trend is not significant. MHH and MC1 showed positive trends. The effects of phthalates on migraine were not influenced by gender in both the BKMR model and the WQS model.
Conclusion
The joint effect of phthalates exposure on migraine was not significant, and there was still no significant association either in the male or the female subgroups.
Cannabis donation as a harm reduction strategy: A case study
Authors: Clarke Sarah E. Duhart , Victor Grant , Lynch Pamela , Suen Leslie W. , Ray Bradley 
Published: January 2024

Abstract
Background
The United States (US) continues to experience unprecedented rates of overdose mortality and there is increased need to identify effective harm reduction practices. Research from Canada describes cannabis donation through harm reduction agencies as an adjunctive strategy to mitigate the negative consequences of more harmful drugs. This case study describes the operational logistics, feasibility, and potential benefits of a cannabis donation program that was operated through a harm reduction program in rural Michigan.
Case presentation:
We applied a community driven research approach to gather information from harm reduction program staff about the implementation and evolution of cannabis donation efforts in Michigan. We also examined 20-months (September 2021 through May 2023) of administrative data from a cannabis company to compare the sale and donation of cannabis products. Ten cannabis-experienced harm reduction clients received cannabis donations, with clinical staff determining client interest and appropriateness, and providing weekly pick-up or delivery. To expand product availability and sustainability, we examined administrative data from a retail cannabis company that volunteered to provide donations. This administrative data suggests that while flower products constitute most of the adult and medical sales, edible, oil, and topical products predominated donations. Further, cost analysis suggests that donations represent only 1% of total gross sales and account for much less than the expected yearly donation amount.
Conclusions
Research suggests there is potential to reduce alcohol and drug use related harms of more dangerous substances through substitution with cannabis. This case study is the first to document cannabis donation as a harm reduction practice in the US and suggests potential for sustainability dependent on state laws. Findings from this case study provide a starting point for inquiry into cannabis donation as a harm reduction strategy in the US; future research is needed to fully understand the individual-level outcomes, public health impacts, necessary legal regulations, and best practices for cannabis donation programs through harm reduction organizations.
Influencing the corrosion rates of titanium and titanium nitride surfaces by incorporation of iridium or ruthenium during femtosecond laser treatment
Authors: Hüne Dorian , Dittrich Arne , Gimpel Thomas 
Published: January 2024

Abstract
Structuring by femtosecond laser process is a promising technique for improving the performance of porous transport layers (PTL) in proton exchange membrane (PEM) electrolysis. As an increase in surface area and a raise of crevices always promotes corrosion, a method must be found to prevent a shortening of the component lifespan. In this paper a method of implanting additional elements from coatings into titanium, while simultaneously nitriding the surface by processing under nitrogen atmosphere is presented. Ruthenium and Iridium were chosen as materials because they are commonly used as catalyst and corrosion-inhibitor in PEM-cells. Especially ruthenium showed promising ability in decreasing corrosion rates while increasing surface conductivity at the same time. Specifically, in samples processed under nitrogen, the addition of ruthenium was able to decrease the impact of laser processing on corrosion rates by up to 46%.
Learning Lightweight Tea Detector with Reconstructed Feature and Dual Distillation
Authors: Zheng Zhe , Zuo Guanpeng , Zhang Wu , Zhang Chenlu , Zhang Jing , Rao Yuan , Jiang Zhaohui 
Published: January 2024

Abstract

Currently, image recognition based on deep neural networks has become the mainstream direction of research, and significant progress has been made in its application in the field of tea detection. Many deep models exhibit high recognition rates in tea leaves detection. However, deploying these models directly on tea-picking equipment in natural environments is impractical. The extremely high parameters and computational complexity of these models make it challenging to perform real-time tea leaves detection. Meanwhile, lightweight models struggle to achieve competitive detection accuracy. Therefore, this paper addresses the issue of computational resource constraints in remote mountain areas and proposes Reconstructed Feature and Dual Distillation (RFDD) to enhance the detection capability of lightweight models for tea leaves. In our method, the Reconstructed Feature selectively masks the feature of the student model based on the spatial attention map of the teacher model and utilizes a generation block to force the student model to generate the teacher’s full feature. The Dual Distillation comprises Decoupled Distillation and Global Distillation. Decoupled Distillation divides the reconstructed feature into foreground and background features based on the Ground-Truth. This compels the student model to allocate different attention to foreground and background, focusing on their critical pixels and channels. However, Decoupled Distillation leads to the loss of relation knowledge between foreground and background pixels. Therefore, we further perform Global Distillation to extract this lost knowledge. Since RFDD only requires loss calculation on feature map, it can be easily applied to various detectors. We conducted experiments on detectors with different frameworks, using a tea dataset captured at the Huangshan Houkui Tea Plantation. The experimental results indicate that, under the guidance of RFDD, the student detectors have achieved performance improvements to varying degrees. For instance, a one-stage detector like RetinaNet (ResNet-50) experienced a 3.14% increase in Average Precision (AP) after RFDD guidance. Similarly, a two-stage model like Faster RCNN (ResNet-50) obtained a 3.53% improvement in AP. This offers promising prospects for lightweight models to efficiently perform real-time tea leaves detection tasks.
Initiation reactivity of cyclic nitramines mixed crystals from the perspective of XPS application
Authors: Patil Veerabhadragouda B. , Pereira Jhonatan Rodriguez , Zeman Svatopluk 
Published: January 2024

Abstract
The nitramines ε- and β-2,4,6,8,10,12-hexanitro-2,4,6,8,10,12-hexaazaisowurtzitanes (ε-CL-20 and β-CL-20), cis-1,3,4,6-tetranitrooctahydroimidazo-[4,5-d]imidazole (BCHMX), six β-CL20/BCHMX co-agglomerates (CACs) and 1,3,5-trinitro-1,3,5-triazepane (TTAZ) have been subjected to XPS analysis to determine their N 1s (N-NO2) and O 1s (NO2) binding energies (Ebind). The Ebind values for N 1s have been found to be closely related to the molecular structure of the nitramines studied; their growth logically corresponds to a decrease in sensitivity to both impact and electric spark. The Ebind of O1s is mostly inversely related to the energy of impact and directly proportional to that of sparks. For detonation rates, the Ebind values for pure nitramines are directly proportional; for CACs, however, this relationship is inversely proportional. These findings are supported by analogous Ebind relations with crystal density, especially in the case of the O 1s. In terms of co-crystal identification among CACs, there are auxiliary relations exist between Ebind values on the one hand and the values of Raman ring deformation vibration (wrt O 1s Ebind) and FTIR symmetric N-O stretching (wrt N 1s Ebind) on the other. All the relationships found are discussed. The Hirshfeld analysis of CL20 shows more stable intermolecular fingerprint plots for its β-isomer than for its ɛ-analog, which might be a reason for the stabilization of this nitramine in co-crystals.
Radiomic Biomarkers of Locoregional Recurrence: Prognostic Insights from Oral Cavity Squamous Cell Carcinoma preoperative CT scans
Authors: Ren Lei , Ling Xiao , Alexander Gregory , Molitoris Jason , Choi Jinhyuk , Schumaker Lisa , Mehra Ranee , Gaykalova Daria 
Published: January 2024

Abstract
This study aimed to identify CT-based imaging biomarkers for locoregional recurrence (LR) in Oral Cavity Squamous Cell Carcinoma (OSCC) patients. Our study involved a retrospective review of 78 patients with OSCC who underwent surgical treatment at a single medical center. An approach involving feature selection and statistical model diagnostics was utilized to identify biomarkers. Two radiomics biomarkers, Large Dependence Emphasis (LDE) of the Gray Level Dependence Matrix (GLDM) and Long Run Emphasis (LRE) of the Gray Level Run Length Matrix (GLRLM) of the 3D Laplacian of Gaussian (LoG σ = 3), have demonstrated the capability to preoperatively distinguish patients with and without LR, exhibiting exceptional testing specificity (1.00) and sensitivity (0.82). The group with LRE > 2.99 showed a 3-year recurrence-free survival rate of 0.81, in contrast to 0.49 for the group with LRE ≤ 2.99. Similarly, the group with LDE > 120 showed a rate of 0.82, compared to 0.49 for the group with LDE ≤ 120. These biomarkers broaden our understanding of using radiomics to predict OSCC progression, enabling personalized treatment plans to enhance patient survival.
Remote Sensing Image Segmentation for Geospatial Entities
Authors: Geng Yu , Lv Jingguo , Wang Chen , Zhang Chuandong 
Published: January 2024

Abstract
Remote sensing image segmentation supports image interpretation.However, current methods yield results limited to segmented maps, showing only objects' boundary contours and positions.In remote sensing images, there are deeper connections between objects, such as spatial distance and topological relationships. Extracting the relationship features between objects on the basis of segmentation can significantly enhance image information. Since geographical entities contain rich attribute and spatiotemporal relationship features, which can compensate for the shortcomings of current remote sensing image segmentation, this paper proposes a remote sensing image segmentation algorithm oriented towards geographical entities. Through this method, rich and dynamic segmentation results are obtained, including three main aspects: first, segmenting the boundary contours of geographical entities using an attribute attention mechanism, extracting semantic, geometric, and visual information of entities; second, establishing a temporal attribute matrix to describe changes in the image over time; third, extracting orientation distance, topological, and interaction relationships between entities based on a semantic network model. Finally, the results obtained by this method include an additional segmentation information table based on the segmented map, which can comprehensively demonstrate the interaction relationships between entities in the image, providing new insights for remote sensing image interpretation.
Endovascular recanalization in vertebral artery stump syndrome: a single-center experience
Authors: Ji Renjie , Xu Ziqi , Chen Hanfeng , Luo Benyan 
Published: January 2024

Abstract

Objective
To evaluate the feasibility, success rate, and safety of endovascular revascularization of patients with vertebral artery stump syndrome (VASS).
Methods
This single-center retrospective study analyzed clinical and imaging data from consecutive patients with VASS who underwent endovascular recanalization from January 2020 until June 2023.
Results
Our study enrolled 30 patients [mean age 69 (range 51–84) years; 26 men]. The rate of successful technical revascularization was 96.7% (n = 29), and the rate of complications was 3.3% (n = 1). At the 6-month follow-up, the patients with successful endovascular revascularization of VASS did not have any neurological symptoms, and computed tomography angiography showed 3/29 (10.3%) re-occlusions and 4/29 (13.8%) restenosis of the stent, which was confirmed by digital subtraction angiography.
Conclusions
Endovascular recanalization in patients with VASS is feasible and has a high procedural success rate and low rate of complications. A large, multicenter, randomized study is warranted to confirm these findings.
Anatomical variants of the medial synovial fold of the posterior cruciate ligament: Morphological Classification Based on Magnetic Resonance Imaging of the Knee
Authors: Er Ali , Bozdag Mustafa , Basa Can Doruk , Kacmaz Ismail Eralp , Zhamilov Vadym , Coskun Ozge , Ekizoglu Oguzhan 
Published: January 2024

Abstract

Purpose
The aim of this study was to evaluate the necessity of reporting the medial synovial fold of the posterior cruciate ligament on magnetic resonance imaging of the knee joint and the relationship of its frequency with side and sex.
Methods
All magnetic resonance imaging of the knee joint were retrospectively reviewed independently by two musculoskeletal radiologists. The medial synovial fold of the posterior cruciate ligament was divided into 3 types according to the imaginary line drawn between the lateral border of the medial femoral condyle and the medial tibial intercondylar tubercle.
Results
The distribution of the frequency of medial synovial fold in all patients according to type was type A (30.1%), type B (55.4%) and type C (14.5%). Intra- and inter-observer agreement was high. Between sex, medial synovial fold types were statistically significantly higher in men.
Conclusion
Medial synovial folds of the posterior cruciate ligament can be seen on various types of magnetic resonance imaging of the knee joint and may need to be mentioned in reports, especially in patients undergoing knee surgery for various reasons.
Benchmarking Robustness of Deep Neural Networks in Semantic Segmentation of Fluorescence Microscopy Images
Authors: Zhong Liqun , Li Lingrui , Yang Ge 
Published: January 2024

Abstract

Fluorescence microscopy (FM) is an important and widely adopted biological imaging technique. Segmentation is generally the first step in quantitative analysis of FM images. Although deep neural networks (DNNs) have become the state-of-the-art tools for image segmentation, their performance on natural images may collapse under certain image corruptions or adversarial attacks. This poses real risks to their deployment in real-world applications. Although the robustness of DNN models in segmenting natural images has been studied extensively, their robustness in segmenting FM images remains poorly understood. To address this deficiency, we have developed an assay that benchmarks robustness of DNN segmentation models using both realistic synthetic and real FM images with precisely controlled corruptions or adversarial attacks. Specifically, we have benchmarked robustness of ten representative models such as DeepLab and Vision Transformer in semantic segmentation of FM images. We find that models with good robustness on natural images may perform poorly on FM images. We also find new robustness properties of DNN models and new connections between their corruption robustness and adversarial robustness. Based on comprehensive benchmarking of robustness of the selected models, we make specific recommendations on selection and design of robust models for segmentation of FM images.
Determinants of neonatal Seizure among neonates admitted to neonatal intensive care units in the Awi Zone Hospitals, 2023: A multi-center unmatched case control study.
Authors: Alene Tamiru , Tsega Tilahun Degu , terefe Tamene Fetene , Dessalegn Nigatu , Alem Zemenu Addis , Tamir Workineh , Amare Abraham , Mitiku Yefiru Andualem , Aynalem Zewudu Bishaw , Melaku Workineh Necho , Amare Getachew , Alemeu Biresaw Wassihun 
Published: January 2024

Abstract

Background: Neonatal seizure is a common medical emergency that signals severe insult to the neonatal brain. It is a major risk factor for neonatal morbidity and mortality. It has a wide worldwide variation, ranging from 5 per 1,000 live births in the United States of America to 39.5 per 1,000 live births in Kenya. To decrease this significant figure, it is better to investigate its causes further. Therefore, this study aimed to assess its determinants since there was no prior evidence about it in the context of study area.
Objective: Aim to assess the determinants of neonatal seizures among neonates admitted to neonatal intensive care units in the Awi Zone Hospitals, 2023. Methods: An institution based unmatched case-control study was conducted on 531 admitted eligible neonates from January 1, 2023, to May 30, 2023. A pretested tool was employed to collect data. The collected data were coded, edited, and entered into Epi-data version 3.1 and then exported to SPSS 26. Chi-square and odds ratios were used to assess the relationship between factors associated with the occurrence of neonatal seizure. Model goodness of fit was tested by Hosmer and Lemeshow. Bivariate and multivariate analysis was declared at P<0.25 and P<0.05 respectively to show a significant association with neonatal seizure at a 95% level of significance.
Results: A total of 506 (130 cases and 376 controls) of admitted neonates were used in the final analysis model. Neonates admitted within 24 hours of birth [AOR; 5.98 (95%, CI: 2.18-16.43)], gestational age <32 weeks [AOR; 2.89 (95%, CI: 1.29-6.53)], body temperature >37.5℃ [AOR; 4.82 (95%, CI: 1.82-12.76)], blood glucose level < 40g/dl [AOR; 4.95 (95%, CI: 2.06,11.88)], neonatal sepsis [AOR; 2.79 (95%, CI: 1.46-5.35)] and perinatal asphyxia [AOR; 8.25 (95%, CI: 4.23, 16.12)] were found to be determinants of neonatal seizure.
Conclusion and recommendations: In this study, neonatal seizure was determined by the factors of neonatal age, gestational age<32 weeks, body temperature >37.5°C, blood glucose level < 40 g/dl, neonatal sepsis, and perinatal asphyxia. Therefore, the presence of such factors requires prompt recognition and treatment. Key words: Seizure, neonates, determinants, case control, Ethiopia.