bluuebunny/crossref_metadata_2025_split huggingface dataset:
Stability analysis of vegetated slopes under steady transpiration state considering tensile strength cut-off
Authors: Cheng Ping , Wu Lizhou , Zhang Hong , Zhou Jianting 
Published: August 2023

Abstract
Vegetation is natural and eco-friendly material for slope reinforcement. To simple and effective analysis of vegetated slopes, this study proposes a novel approach considering the tensile strength cut-off criterion (C-F criterion) of unsaturated root-soil composites. The proposed method incorporates the hydrological and mechanical effects of vegetation roots. A 1D stability model is developed to compute the safety factors of vegetated slopes under steady transpiration state. Parametric studies are performed to investigate the effects of shrub root depth, slope angle, rainfall intensity, transpiration rate, and tensile strength on pore-water pressure (uw) and slope safety factors (Fs), which are computed using both the C-F criterion and the Fredlund strength criterion. The results demonstrate that Fs and uw decreases with increasing slope angle and rainfall intensity. Slope angle and rainfall intensity of vegetated slopes has an adverse effects on the slope stability. Moreover, Fs increases with increasing tensile strength. Furthermore, the transpiration rate and root depth increases, Fs and uw increases. Root depth, tensile strength, and transpiration rate are favorable for slope stability, while slope angle and rainfall are unfavorable. Shallow slopes are more sensitive to rainfall than deep slopes. In the soil layer with roots, Fs for unsaturated vegetation slopes with tensile strength cut-off are reduced compared to those based on the Fredlund strength equation. The C-F criterion is best suited for evaluating the shallow slope stability. Overall, the proposed method offers a simple and practical approach to assess the vegetated slopes stability.
Autistic traits in myotonic dystrophy type 1 due to MBNL inhibition and RNA mis-splicing
Authors: Sznajder Lukasz , Khan Mahreen , Tadross Mariam , Ciesiołka Adam , Nutter Curtis , Taylor Katarzyna , Pearson Christopher , Sobczak Krzysztof , Lewis Mark , Swanson Maurice , Yuen Ryan 
Published: August 2023

Abstract

Tandem repeat expansions are enriched in autism spectrum disorder, including CTG expansion in the DMPK gene that underlines myotonic muscular dystrophy type 1. Although the clinical connection of autism to myotonic dystrophy is corroborated, the molecular links remained unknown. Here, we show a mechanistic path of autism via repeat expansion in myotonic dystrophy. We found that inhibition of muscleblind-like (MBNL) splicing factors by expanded CUG RNAs alerts the splicing of autism-risk genes during brain development especially a class of autism-relevant microexons. To provide in vivo evidence that the CTG expansion and MBNL inhibition axis leads to the presentation of autistic traits, we demonstrate that CTG expansion and MBNL-null mouse models recapitulate autism-relevant mis-splicing profiles and demonstrate social deficits. Our findings indicate that DMPK CTG expansion-associated autism arises from developmental mis-splicing. Understanding this pathomechanistic connection provides an opportunity for greater in-depth investigations of mechanistic threads in autism.
Tomato Maturity Recognition with Convolutional Transformers
Authors: Khan Asim , Hassan Taimur , Shafay Muhammad , Fahmy Israa , Werghi Naoufel , Mudigansalage Seneviratne , Hussain Irfan 
Published: August 2023

Abstract
Tomatoes are a major crop worldwide, and accurately classifying their maturity is essential for many agricultural applications, such as harvesting, grading, and quality control. In this paper, the authors propose a novel method for tomato maturity classification using a convolutional transformer. Additionally, this study introduces a new tomato dataset named KUTomaData, explicitly designed to train deep-learning models for tomato segmentation and classification. KUTomaData is a compilation of images sourced from a greenhouse in the UAE, with approximately 1939 images available for training and testing. The dataset is prepared under various lighting conditions, viewing perspectives and employs different mobile camera sensors, thus distinguishing it from existing datasets.The contributions of this paper are threefold:Firstly, the authors propose a novel method for tomato maturity classification using a modular convolutional transformer. Secondly, the authors introduce a new tomato image dataset that contains images of tomatoes at different maturity levels. Lastly, the authors show that the convolutional transformer outperforms state-of-the-art methods for tomato maturity classification.The effectiveness of the proposed framework in handling cluttered and occluded tomato instances was evaluated using two additional public datasets, Laboro Tomato and Rob2Pheno Annotated Tomato, as benchmarks. The evaluation results across these three datasets demonstrate the exceptional performance of our proposed framework, surpassing the state-of-the-art by 58.14%, 65.42%, and 66.39% in terms of mean average precision scores for KUTomaData, Laboro Tomato, and Rob2Pheno Annotated Tomato, respectively.This work can improve tomato harvesting, grading, and quality control efficiency and accuracy.
Taking problematic arbitrary measures: a grounded theory of the process of inefficient prehospital self-management of myocardial infarction
Authors: Maghaminejad Farzaneh , Varaei Shokoh , Nayeri Nahid Dehghan 
Published: August 2023

Abstract
Introduction:
Myocardial infarction (MI) is a cardiovascular emergency that needs immediate diagnosis and treatment. Ineffective self-management of MI may lead to adverse consequences and complications. This study was conducted to explore the process of ineffective prehospital self-management of MI.
Methods
This study was conducted using the grounded theory design. Sixteen patients with MI and six family members were purposefully and theoretically selected from a leading hospital in Kashan, Iran. Data were collected using unstructured and semi-structured interviews and were analyzed through the constant comparison method proposed by Corbin and Strauss (2015). The length of the interviews was 40–60 minutes and data collection was kept on to reach data saturation.
Findings:
The onset of MI symptoms had encountered patients with unfamiliar conditions which required them to use different self-management strategies, namely fighting between awareness and preference, taking problematic arbitrary measures, and consulting lay people. These ineffective strategies together with contextual factors had aggravated their conditions. Contextual factors were loneliness at the time of MI, affliction by underlying diseases, occurrence of symptoms at inappropriate time, and referring to non-specialty centers. The outcomes of this process were symptom aggravation and close encounter with death.
Conclusion
Unfamiliarity with MI and its management makes MI management very difficult for patients and family members. Therefore, MI-specific educations are needed to improve patients’ self-management abilities.
Cervical Fibroids: the vaginal intracapsular myomectomy with classification by the fibroids' origin, growth directions and localizations
Authors: Tinelli Andrea , Mynbaev Ospan , Panese Gaetano , Licchelli Martina , Cao Wenming , Malvasi Antonio , Kosmas Ioannis , Stark Michael 
Published: August 2023

Abstract
This retrospective cohort observational study involved 15 patients who underwent cervical intracapsular myomectomy (CIM). The study aimed to assess the localization sites and sizes of cervical fibroids (CFs) and their impact on the feasibility of performing CIM using the vaginal approach. CFs originated from extra cervical-anterior-posterior localizations (EAPL) in six cases, extra-intracervical lateral locations (EILL) in five women, and combined cervical fibroids locations (CCFL) in two different sites in four patients. The most frequent cases were single CFs of EAPL or EILL, compared to CCFL. The localization or size of CFs did not substantially influence the safety and efficacy of the CIM technique, whether they occurred singly or in combination. The broader context of the findings of this study was estimated by comparative analysis of them with the outcomes of 1181 patients with CFs from the English and Chinese literature. The study identified the main issues of this problem that warrant attention, such as the original CIM technique performed through a direct vaginal approach and classifying CFs as growing and mature with comprehensive descriptions of their miscellaneous clinical manifestations depending on size, growth directions, localization sites, and depth of lesions. These findings may have implications for managing patients with CFs.
Rupture risk of small intracranial aneurysm: comparison between small ruptured intracranial aneurysm and large unruptured intracranial aneurysm
Authors: Zeng Lu , Zhu Xiao-ling , Liu Lan-lan , Wen Li , Wang Guang-xian 
Published: August 2023

Abstract
Background
Size is one of the risk factors of intracranial aneurysms (IAs) rupture, but not a reliable marker of rupture risk. Two groups of IAs, ruptured IAs (RIAs) smaller than 5 mm and unruptured IAs (UIAs) larger than 10 mm, were compared to investigate the clinical and morphological characteristics associated with the risk factors for the rupture of small IAs.
Methods
The clinical data of 189 consecutive patients with 193 IAs were reviewed. The patients and IAs were divided into ruptured (smaller than 5 mm) and unruptured groups (larger than 10 mm). The characteristics of the patients and the IAs were compared between the two groups, and the rupture risk factors for small IAs were assessed using multiple logistic regression.
Results
Patient age (odds ratio [OR], 0.955), IA located at the internal carotid artery (OR, 0.202), irregular shape (OR, 0.083) and parent vessel diameter (OR, 0.426) were negatively correlated with a risk of small IA rupture. IAs located at bifurcations (OR, 6.766) were positively correlated with a risk of small IA rupture.
Conclusions
In addition to IA size, other factors, such as patient age, IA location, shape and parent vessel diameter, can influence the risk of small IA rupture.
WITHDRAWN: A Transformer based approach using LSTM and Paraphrase reference to Translate English Text into Hindi
Authors: Sharma Surbhi , Joshi Nisheeth 
Published: August 2023

Abstract
As many translation systems and applications, such as textual translation, speech systems, etc. use this approach very well with some constraints of grammatical accuracy and completeness, Machine translation is very old concept and work as an intermediary to perform cross-language communication in this age of the internet. Next, using SMT, these statements are translated into the target language without altering their original meaning Statistical Machine translation (SMT). In this paper, an English to Hindi Machine Translation system model was developed by employing the paraphrasing idea under the NMT tree (Neural Machine Translation). The metric scores produced by paraphrasing are closely like human utterances. In the proposed work, we develop a model that uses paraphrased references to convert plain English text into Hindi text. We will evaluate the translation's quality based on its sufficiency, fluency, and correspondence with human-predicted translation to determine how well this system replaces human expressions.
Representing unsegmented vessels using available vascular data for bioheat transfer simulation
Authors: Amare Rohan , Bahadori Amir , Eckels Steven 
Published: August 2023

Abstract
A primary challenge with any voxel domain generated from imaging data is limited voxel resolution. Due to the dimensional scale of blood vessels, not all vessels are captured and the loss of segmentable vascular data results in discontinuous blood vessels. The pre-capillary vessels, like arterioles, provide the highest resistance to blood flow. Due to the resolution limitations, these pre-capillary vessels are modeled with the tissue as a porous domain. This results in a loss of information that could have been modeled if the pre-capillary vessels were segmented and thus distinct from capillary bed. These vessels can only be modeled if a very high image resolution is used, increasing the imaging and computational simulation cost. Instead, a mathematical representation of the pressure drop induced in these unsegmented blood vessels is used. This paper provides equations to predict the flow resistance of unsegmented vasculature with reference to flow resistance of available segmented vascular data. These equations provide deeper insight into vascular resistances. The effect of using equations of flow resistance on bioheat transfer is analyzed by simulating a 3D vascular domain of 32 terminal vessels and five generations of bifurcation. Each generation is successively removed and substituted with the new flow resistance equations to analyze the error in heat transfer due to a lack of segmentation data. Two methods are proposed and demonstrated to show considerable error reduction in bioheat transfer.
Selection of social comparison standards in cardiac patients with and without experienced defibrillator shock
Authors: Willy Kevin , Meyer Thomas , Eckardt Lars , Morina Nexhmedin 
Published: August 2023

Abstract
Patients with an implantable cardioverter-defibrillator (ICD) often report psychological distress. However, both physical disease severity and psychological adjustment are variable. The role of social comparison in illness coping has not been studied in these patients yet. We theorize that relative to patients without experienced shock (ICD-), those with experienced ICD shocks (ICD+) display higher levels of psychological distress and thereby compare more frequently with fellow patients with more severe disease, but better disease coping and identify more strongly with these comparison standards. We recruited 92 patients with (ICD+, n = 38) and without an experienced ICD shock (ICD-, n = 54), who selected one of four comparison standards varying in disease severity and coping capacity. Relative to ICD-, ICD + patients reported higher levels of device-related distress, but there were no significant differences in anxiety, depression, or quality of life. ICD + patients selected more often comparison standards with poor coping. Irrespective of standard choice, ICD + patients displayed more negative mood following comparison. Our results support the view that ICD patients suffer from elevated levels of psychological distress, whereby ICD + patients tend to compare unfavorably to fellow patients. Altogether, the findings warrant further research into social comparison as a relevant coping mechanism in ICD patients.
“Topological Stress” concept for quantizing chemical graph similarity scores
Authors: Ramraj T. , Jaffer Syed 
Published: August 2023

Abstract
Graph Invariants can be used to infer molecular structural properties of graphs. In this work, a new distance metric between vertices of a graph is proposed to find the structural similarity between graphs. For this, a new distance matrix (known as IE matrix) is constructed based on the inverse Euclidean distance between graph vertices. This new representation directly depicts the skeletal structure of the vertices in the n-dimensional space. In this space, minimal distance between vertices implies high topological proximity between them. Based on IE matrix, a unique signature is generated for every graph which is used to find similarity between graphs. A new concept – “Topological Stress” is introduced that reveals the topological variation of a vertex with other vertices. Using this stress concept, similar topological stressed vertices between different graphs are identified and further explains the methylalkane interconversion reactions with the help of signature and dominant Eigen value. The entirety of the matrix is represented as a singularity which may serve as a unique molecular index (IEGPr) for chemical graphs. Similarity between graphs are calculated based on their corresponding IEGPr values. The resultant quantified similarity score lies between 0 and 1, referring value 1 for exact isomorphic. From the computational study, it is observed that IEGPr value is generally very low implying a low-value nomenclature of chemical graphs. Empirical study shows that the computational time required for the similarity identification procedure is scalable. From this it can be inferred that by improvising / reframing this measure a few application oriented Graph Matching problems can be tackled in polynomial time / near polynomial time.
The effect of training on the contribution of energy systems during 15-second sprint exercise in athletes of different sport specializations
Authors: Archacki Damian , Zieliński Jacek , Pospieszna Barbara , Włodarczyk Michał , Kusy Krzysztof 
Published: August 2023

Abstract
Background
Although physiological adaptations vary by sport, most athletes use short-term maximal exercise. We examined the effect of long-term and ongoing training adaptation on the contribution of energy systems during sprint exercise depending on sports specialization.
Method
Endurance-trained (n = 17, aged 20.3 ± 6.0 y), speed-power (n = 14, aged 20.3 ± 2.5 y), and mixed (soccer, n = 19, aged 23.4 ± 4.8 y) athletes participated in the study. They performed a 15-second Wingate test before and after a 14-week training phase. The contribution of phosphagen, glycolytic, and aerobic systems was calculated using the three-component PCr-LA-O2 method. Two-way repeated measures ANOVA was used for analysis.
Results
The proportions of the phosphagen : glycolytic : aerobic energy systems before vs. after the 14-week training period were as follows: 51.8 ± 8.1% : 38.7 ± 6.7% : 9.5 ± 3.2% vs. 46.4 ± 12.8% : 41.1 ± 11.4% : 11.8 ± 5.3% in endurance, 33.9 ± 14.5% : 53.7 ± 13.9% : 11.5 ± 4.1% vs. 34.8 ± 17.2% : 56.9 ± 16.5% : 8.3 ± 2.7% in mixed, and 42.3 ± 12.3% : 49.6 ± 12.1% : 6.9 ± 2.2% vs. 44.7 ± 10.1% : 48.5 ± 9.7% : 6.9 ± 2.2% in speed-power athletes, respectively. The contribution of individual energy systems differed significantly within all groups (p = 0.001‒0.008). Endurance and mixed groups differed in the contribution of the phosphagen (p < 0.001) and glycolytic systems (p = 0.006). Endurance and speed-power groups differed in the contribution of the aerobic system (p = 0.003). There were no substantial shifts in energy systems contribution after the training period, except for decreasing aerobic system contribution in mixed athletes (p = 0.048).
Conclusion
Energy systems contribution during sprint exercise is determined by long-term specific adaptations. Ongoing training loads do not induce significant changes in the proportions of energy systems.
Characterizing seed dormancy in Epimedium brevicornu Maxim.: Development of novel chill models and determination of dormancy release mechanisms by transcriptomics
Authors: Li Pengshu , Xiang Qiuyan , Dong Xuehui , Wang Yue 
Published: August 2023

Abstract

Purpose: Epimedium brevicornu Maxim. is a perennial persistent C3 plant of the genus Epimedium Linn. in the family Berberaceae that exhibits severe physiological and morphological seed dormancy. We placed mature E.brevicornu seeds under nine stratification treatment conditions and explored the mechanisms of influence by combining seed embryo growth status assessment with related metabolic pathways and gene co-expression analysis.
Results: We identified 3.9 °C as the optimum cold-stratification temperature of E.brevicornu seeds via a chilling unit (CU) model. The best treatment was variable-temperature stratification (10/20 °C, 12/12 h) for 120 d followed by low-temperature stratification (4 °C) for 90 d. A total of 63801 differentially expressed genes were annotated to 2587 transcription factors (TFs) in 17 clusters in two comparisons. Genes specifically highly expressed in the dormancy release treatment group were significantly enriched in embryo development ending in seed dormancy and fatty acid degradation, indicating the importance of these two processes. Coexpression analysis implied that the TF GRF had the most reciprocal relationships with genes, and multiple interactions centered on zf-HD and YABBY as well as on MYB, GRF, and TCP were observed.
Conclusion: In this study, analyses of plant hormone signal pathways and fatty acid degradation pathways revealed changes in key genes during the dor- mancy release of E.brevicornu seeds, providing evidence for the filtering of E.brevicornu seed dormancy-related genes.
Targeting the Warburg Effect with Glucosodiene: A Case Report of a 43-year-old Female after Mastectomy of the right breast and axillary clearance with Successful First Case Treatment for Metastatic Triple Negative Breast Cancer (TNBC) of Bone.
Authors: ahmed Amr 
Published: August 2023

Abstract
Breast cancer is the most common type of cancer among women, and triple-negative breast cancer (TNBC) is a particularly aggressive subtype, representing 15-20% of cases. TNBC lacks estrogen, progesterone, and HER2 receptors, making it challenging to treat. This study explores a novel approach by investigating the metabolic pathways in TNBC, focusing on the alkaline glucose isomer, glucosodiene, as a potential therapy. The Warburg effect, discovered in 1924, serves as the basis for this investigation. The case report presents a 42-year-old female patient with TNBC Patient with MRM, Modified radical mastectomy, With axillary clearance., exhibiting a right breast lump with lymph node metastasis. Diagnostic tests confirmed invasive ductal carcinoma GII with negative hormone receptors and HER2/neu. The patient had previously undergone unsuccessful traditional chemotherapy and presented with bone metastasis. Treatment with glucosodiene for 15 days resulted in normal vital functions and no signs of cellular activity. This case study aims to evaluate an individualized treatment plan for TNBC patients and establish effective follow-up protocols. The trial is registered under clinicaltrials.gov number NCT05957939.
Identity-Based Encryption from the Tate pairing on genus two curves
Authors: Zitouni Mohammed , Guilley Sylvain , Mokrane Farid 
Published: August 2023

Abstract

Identity Based Encryption is an approach to link the public key to an identity. It is an extremely useful asymmetric cryptography type in which public and private keys are computed from a known identifier such as an email address instead of being generated randomly. This allows more flexibility in managing ad-hoc public key encryption and ensuring secure communications. The aim of this work is to improve IBE scheme using the bilinear Tate pairing on genus two curves with ordinary Jacobian over large prime fields. In the first hand, we demonstrate how to compute and implement pairings efficiently over ordinary Jacobian curves of genus two over a large prime field. We introduce a new technique to avoid performing an evaluation of the Miller function at the reduced divisor, which provides a reduced Miller’s algorithm to compute pairings. Furthermore, the final exponentiation is simplified to a minimum computation using the structure of the pairing-friendly curves. Numerical results are obtained via our implementation in Python for different security levels. In the second hand, we present a full description of functional IBE scheme using the optimization of the Tate pairing computations. The proposed application answers a question of Boneh and Franklin [2] about the possibility of using the Tate pairing in IBE schemes and represents the first IBE exploiting pairings in genus two. We provide a full description of a functional IBE scheme using our optimization of the Tate pairing computations.