bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automated characterization of sudden cardiac death by using empirical mode decomposition and fuzzy entropy of ECG signals
Authors: Shi Manhong , Shi Yinuo , Zhou Wenkang Wenkang , Qi Xue 
Published: March 2024

Abstract
Early prediction of Sudden Cardiac Deaths (SCD), as a promising methodology to save lives threatened by SCD, has garnered significant attention from various countries. Various approaches has been proposed to forecast the occurrence of SCD, these approaches are limited either in terms of prediction time resolution or the length of early prediction time. In this work, we propose a novel methodology that combines Empirical Mode Decomposition (EMD) and Fuzzy Entropy (FuEn) using only one ECG beat with 651 data samples for the early anticipation of SCD. The experiment extracted a total of 652 features, consisting of 651 first-level intrinsic mode function (IMF) coefficients and 1 FuEn extracted from the first-level IMF coefficients. Subsequently, the Locality Preserving Projection (LPP) algorithm is applied to these features to reduce the number of features, the LPP features were ranked by various ways. Finally, the ranked features were fed to classifiers for discrimination between normal and prone-to-SCD subjects. Unlike other works where 1 min or 2 min signal analyzed as the prediction resolution is employed and the length of early prediction time is no more than 20 min, the proposed methodology analyzes each ECG beat for the SCD identification and is capable of predicting SCD up to 30 min earlier with the accuracy, specificity, and sensitivity of 98.5%, 98.4%, and 98.6% respectively. Therefore, the proposed methodology can be applied in portable medical sensors to real-time monitor conditions of person at risk of SCD in hospital settings or at home.
Interfering Factors in the Diagnosis of Senecavirus A
Authors: Júnior Antônio Augusto Fonseca , Laguarda-nascimento Mateus , Barbosa Aline Aparecida , Silva Valdênia Lopes , Carmagos Marcelo Fernandes 
Published: March 2024

Abstract
Senecavirus A (SVA) is an RNA virus that belongs to the genus Senecavirus within the family Picornaviridae. This study aimed to analyze factors that can influence the molecular diagnosis of Senecavirus A, such as oligonucleotides, RNA extraction methods, and RT-qPCR kits. Trizol, silica columns, and semi-automated extraction were compared, as well as different RT-qPCR kits. The study found significant variations that could impact the final diagnosis.
The secretory Inka cell of the Drosophila larval trachea has a molecular profile similar to that of neurons
Authors: Roeder Thomas , Bossen Judith , Niu Xiao , She Xin-Yu , Knop Mirjam , Hofbauer Benedikt , Tiedemann Lasse , Franzenburg Sören , Bruchhaus Iris , Kraus-Etchmann Susanne , Wegener Christian 
Published: March 2024

Abstract
The remarkable architecture of their respiratory system enables the unique metabolic performance that makes insects so successful. We performed single-cell RNAseq analysis of the larval tracheal system of Drosophila melanogaster and identified 17 cell populations that are part of or closely associated with the trachea. In addition to several groups of epithelial cells and different progenitor cell types, the secretory Inka cells showed unexpected properties. These cells express almost all the molecular elements of the presynaptic active zone and the neurotransmitter vesicle release machinery, both characteristic features of neurons. Some of these molecular elements are essential for their secretory function. In addition, we could molecularly map the different progenitor cell types and their different developmental stages. The data collected in this work represents a valuable resource for future studies focusing on this critical organ. The most important finding of this study is that Inka cells have neuron-like properties, which challenges the traditional picture of the distinction between neuronal and non-neuronal cells.
The Clinical Analysis of 20 Thymic Cysts
Authors: Gao Xufeng , Dong Yaolei , Song Xuanke 
Published: March 2024

Abstract
BackgroundCT screening for lung cancer has led to frequent findings of small anterior mediastinal masses. It is very hard to distinguish small thymomas from thymic cysts. The objective of this study was to discuss the diagnosistic methods and clinical features of thymic cyst.
Methods 20 patients who underwent sungical treatment and were diagnosed with thymic cyst between 2015 and 2020 were included. The patients included 14 men and 6 women aged 44 to 79 years (median 54 y). The operation was via a video-assisted thoracoscopic sungery(VATS) in 16 cases, a median sternotomy in 4 cases. Size, location, contour, shape, presence of calcification, and enhancement [Hounsfield units (HU)] were evaluated. And the study analyzed the misdiagnosis rates of thymic cysts with diameters ≤4cm and diameters >4cm.
Resuts All postoperative pathology was confirmed to be thymic cysts. All cases are located in the anterior superior mediastinum. Most of the thymic cysts have a maximum diameter of ≤4 cm, accounting for 70.0%, with a density (average CT value)＞20 Hu, and are easy to be misdiagnosed before operation. The preoperative misdiagnosis rate is about 85.7%. The thymic cyst which maximum diameter ＞4 cm , accounts for 30.0%, and the density (average CT value) ＜20 Hu, and it is also easy to misdiagnose. But the preoperative misdiagnosis rate is about 33.3%.
ConclusionThis study can be used to diagnosis thymic cysts in patients with small, asymptomatic thymic abnormalities on CT screening.
MRI-based Radiomics Signature for Screening Lymphovascular Invasion in Breast Cancer Patients
Authors: Zhang Cici , zhong Minzhi , liang zhiping , zhou jing , wang Kejian , bu jun 
Published: March 2024

Abstract

Objective
The early detection of lymphovascular invasion (LVI) is critical for the effective treatment of breast cancer (BC). This study aimed to investigate a non-invasive radiomics model based on MRI sequences for LVI screening in BC patients.
Methods
A total of 454 BC patients were enrolled in our study, with 150 in the LVI group and 304 in the non-LVI group. Radiomics features were extracted from MRI scans, including T2WI and DCE sequences, using LASSO analysis. Common machine learning algorithms (including LR, RF, KNN, SVM, GBDT, XGBoost, and LightGBM) were employed to construct radiomics signatures for assessing LVI status in BC patients.
Results
Eighteen radiomics features, 10 from DCE and 8 from T2WI, were retained to construct the radiomics signature. Among all the machine learning algorithms, the RF classifier model demonstrated superior performance in assessing the LVI status of BC patients, with an accuracy, sensitivity, and specificity of 63.32%, 74.47%, and 43.68%, respectively. The decision curve demonstrated significant clinical benefit of this model.
Conclusion
The radiomics-based RF model derived from MRI serves as a reliable indicator for identifying LVI status in BC, and holds great clinical utility for prompt intervention in invasive BC to improve the survival rate of BC patients.
The mediation and moderation effect of risk preferences on time preference and financial literacy
Authors: Mudzingiri Calvin , Sunge Regret , Katuka Blessing , Miya Nkopane Washington 
Published: March 2024

Abstract
This paper investigates the mediation and moderation effect of risk preference on time preferences and financial literacy. Existing studies show that people with higher levels of financial literacy are more likely to achieve better life outcomes. Better life outcomes depend on an individual’s knowledge and intertemporal choices executed in a context where inherent risk is prevalent. Regardless, existing studies directly evaluate the effects of financial literacy on intertemporal decisions. The current study brings in a different dimension by accounting for risk preferences' mediation and moderation role on financial literacy and time preferences. We collected data from 191 university students in South Africa using Multiple Price List (MPL) time preference and risk preference elicitation, a questionnaire, and a financial literacy test. A maximum likelihood estimation (MLE) of a pooled panel structural equation model (SEM) analysis was employed. The headline finding is that risk preferences fully mediate the impact of financial literacy on time preferences. The random effect panel regression on the moderation effect of time-risk preferences on financial literacy and financial literacy-risk preferences on time preferences confirms reverse causality between time preferences and financial literacy. The moderation effect of risk preferences on time preferences and financial literacy varies from one category of subjects to another. Risk aversion is associated with high levels of financial literacy.
JEL: C91; G4
The Complete Mitochondrial Genome of Schistura fasciolata: Phylogenetic and Evolutionary Implications within Tribe Nemacheilini
Authors: Luo Chao-yang , Zhao Cheng-fa , Gong You-jing , Hu Wen-xian , Mu Yuan 
Published: March 2024

Abstract

Background:The mitochondrial genome is widely used to understand the phylogeny and evolution of tribe Nemacheilini. This study aims to deepen the understanding of the mitochondrial genome ofSchistura fasciolata, and the evolutionary implications within Nemacheilini.Methods and Results:We conducted a comprehensive sequence analysis of the complete mitochondrial genome ofSchistura fasciolata, which is comprised of 16,570 base pairs including 37 genes: 13 protein-coding genes (PCGs), 22 transfer RNA genes (tRNAs), and two ribosomal RNA genes (rRNAs). The base composition analysis indicated an A+T content of 56.51% and a G+C content of 43.49%. Phylogenetic analysis based on the 13 PCGs revealed extensive polyphyly within Nemacheilini. Furthermore, accelerated evolutionary rates inND4,ND5, andCYTBgenes were observed inHomatulaandTroglonectes, suggesting an adaptation to specific environmental conditions.Conclusions:The mitochondrial genome analysis ofS. fasciolataprovides critical insights into the phylogeny and adaptive evolution within Nemacheilini. Our findings underscore the complex evolutionary dynamics within the tribe, with distinct evolutionary trajectories observed in mitochondrial genes among different genera.
In-vitro and in-silico investigation of α-amylase and α-glucosidase inhibition using Chamaecostus cuspidatus leaf for diabetes mellitus
Authors: Balaji Menaka Priya , Rajeswari V Devi 
Published: March 2024

Abstract
Chamaecostus cuspidatus is a mysterious plant with potential therapeutic properties for the amelioration of diabetic mellitus and related complications. This investigation aims to determine the potential phytochemicals through GCMS, FTIR, and NMR techniques. The objective is to perform in-vitro assays on the extract to evaluate its potential in various domains including antioxidant, antidiabetic, anti-inflammatory, antibacterial, and anticancer effects. The extract of methanol has demonstrated significant antioxidant properties due to its high phenolic content (3.523 mg GAE/g), flavonoid content (2.55 mg QE/g), and total tannin content (2.133 mg TAE/g). GC-MS analysis of leaf extract depicted the presence of 16 bioactive compounds among 9-octadecenamide, 7-nonenamide, 13-docosenamide, and hexadecanamide are enrich essential fatty acids. The NMR spectrum of 13C confirms the presence of functional bioactive compounds. This work includes molecular computational studies, specifically protein-ligand docking energy and ADMET analysis. Selected screened compounds including akuammilan-17-ol, nor-diazepam, 1,2-benzene dicarboxylic acid, and standard metformin were investigating the interaction against α-amylase and α-glucosidase. The ligand of nor-diazepam showed the highest binding affinity compared to akuammilan-17-ol, 1,2-benzene dicarboxylic acid, and metformin; therefore, nor-diazepam could be the focus of more in-depth research.
tinyHulk: Lightweight Annotation for Wearable Cognitive Assistance
Authors: Nguyen Chanh , Iyengar Roger , Dong Qifei , Blakley Jim , Satyanarayanan Mahadev 
Published: March 2024

Abstract

Wearable Cognitive Assistance (WCA) employs DNNs models to provide real time step-by-step guidance to end-users for specific tasks. Collecting and annotating training data for such DNNs is painful and takes massive human effort and time. In this work, we propose tinyHulk, an automatic annotation tool that reduces human time and effort for these labor-intensive annotation tasks. Further, the tool is equipped with the background replacement, an object-aware data augmentation mechanism to increase the size and diversity of the training set. Our experimental results show that using tinyHulk can save human time up to fourfold compared to using manual methods for labeling tasks. The computer vision models trained with data annotated and generated by tinyHulk achieve high accuracy, outperforming the models trained with real or synthetic data using conventional methods for annotation.
Enhancing Growth and Nutrient Uptake in Bouffegous Date Palm Variety With Seaweed Extracts and AMF/PGPR Combination in the Field.
Authors: NOGOT ABDELAAZIZ , Khardi Abdesalam , ABOUMADANE Hicham , Goutoutou Madiha , Jaiti Fatima 
Published: March 2024

Abstract

The utilization of seaweed extracts (SWE) and a combination of arbuscular mycorrhizal fungi (AMF) and plant growth-promoting rhizobacteria (PGPR) has received considerable attention in recent years due to their potential to ameliorate growth and nutrient uptake in diverse vegetable species. To promote sustainable agriculture in oasis ecosystems, particularly for the date palm that serves as a fundamental component of the economic and social development of oases, a study was conducted at a private palm farm in Tamassint, Errachidia province. The study aimed to evaluate the effects of seaweed extracts (SWE) and a combination of arbuscular mycorrhizal fungi (AMF) and plant growth-promoting rhizobacteria (PGPR) on the mineral uptake, physiological, and morphological growth parameters of the Bouffegous date palm cultivar. Seven treatments were used, which included SWE: Ascophyllum nodosum at 1% and 2%, SWE: Ecklonia maxima at 1% and 2%, 10g/palm and 20g/palm of a combination of AMF/PGPR, and a control group with no treatment. The results indicated that seaweed extracts enhanced growth rate parameters, nutrient uptake, chlorophyll content, and fluorescence activity in both growing seasons, whereas the AMF + PGPR combination only improved all the measured parameters in the second year of the experiment, except for the number of leaves per palm where no effects were observed during both seasons.
An Improved Simulation Based Method forSelection of Cell in Cellular Network
Authors: Popat Kalpesh 
Published: March 2024

Abstract
In Cellular networks, selection of cell is a process which will help in determining the exact location of the cellular phone. Various services related to mobile network are dependent on selection of cells only. Factors like radio propagation, directional beamforming, and handover processes play a significant role in determining the overall performance of the network. Researchers and network operators continuously work on optimizing cell selection strategies to minimize disruptions and provide high-quality service to end users. Cell Selection plays a vital role in the whole cellular network system. In this paper Cell selection performance has been evaluated by using 9 working simulation models with 9 different scenarios from simple and small network to high congestion mobile network. Qualnet Software is employed for conducting analyses that take into account factors such as the quantity of nodes, simulation duration, and the volume of calls between multiple mobile devices.
The impact of environmental regulations on enterprise production——Based on the production game model
Authors: Fan Xuecheng , Wang Xinxin , Xu Zeshui 
Published: March 2024

Abstract
As an integral part of the modern environmental governance system, environmental regulations have the potential to alter the dynamics of competition and cooperation, resulting in a phenomenon known as the “relatively better” effect. In light of this phenomenon, we have developed a static game model based on incomplete information to analyze its implications. Through the exploration of Nash equilibrium, we have discovered that the "relatively better" effect allows environmentally regulated clean enterprises to transfer a portion of their costs to polluting enterprises. Consequently, clean enterprises experience lower financing costs compared to their polluting counterparts under environmental regulation conditions. This conclusion is supported by empirical analysis conducted using Chinese enterprise data. Furthermore, our research reveals that appropriately designed environmental regulations, including the intensity of regulation and the establishment of emission rights trading systems, can contribute to improving social distribution.
Research on the quality evaluation method of copper and aluminum diffusion bonding
Authors: Li Shengtao , Hou Huaishu , Yun Han , Li Jinhao 
Published: March 2024

Abstract

The application of copper-aluminum welded pole pieces is extensive in the new energy manufacturing sectors, such as automotive batteries. Diffusion bonding is one of the main ways of copper-aluminum connection, which is very important for the safe use of the components in terms of the quality of its connection. First, a water-immersion ultrasonic inspection platform was built to carry out inspection research on internal defects in copper-aluminum welding. In order to address the problem of overlapping signal features at the interface, the signal is decomposed and reconstructed by applying the wavelet decomposition method using the water-immersion focusing transmission method. The reconstructed signal is then decomposed in three layers, and the energy features of the last layer are extracted to form energy feature vectors for the qualitative analysis of different defect types. Secondly, different welding area samples were prepared and the peak power spectral density was extracted as an interface characterization parameter. Tensile tests were conducted on samples with varying weld areas, and the measured maximum pull-out force was correlated with the characteristic parameters of ultrasonic testing. The results demonstrate the effective capability of wavelet packet analysis in identifying un-welded, weak bond, and micro-porous defects at the diffusion welding interface. A higher peak value of power spectral density indicates superior welding quality. Establishing a reasonable threshold for peak power spectral density can serve as a reliable criterion for assessing the condition of copper and aluminum diffusion bonding.
Exhaustive Investigation Into the Corrosion Resilience of Aluminium-silicon Carbide Metal Matrix Composites
Authors: Sriniva Bharath 
Published: March 2024

Abstract
In recent years, there has been a noteworthy surge in the fascination surrounding Metal Matrix Composites (MMCs), driven by their remarkable corrosion resilience and superior mechanical attributes. Notably, aluminum and its alloys have garnered substantial utilization across diverse industries, prominently in manufacturing and aerospace, owing to their trifecta of attributes - lightweight construction, heightened mechanical prowess, and corrosion-resistant characteristics. Aluminum, being highly amenable to alloying, has been synergistically blended with Silicon Carbide (SiC) in weight-proportional ratios of 12% and 13% in the present investigation, thereby elevating these already laudable attributes of the base material. The focal point of this study has been the evaluation of the corrosion resistance exhibited by these newly formulated MMCs. A salient methodology employed for this purpose was the utilization of a rigorous salt spray corrosion test, extending over a duration of 96 hours. The findings stemming from these corrosion assessments unequivocally substantiate the marked superiority in corrosion resistance exhibited by both MMC variants in comparison to their pure aluminum counterpart. This heightened corrosion resilience can be ascribed principally to the presence of SiC particulates within the MMCs, which function as formidable impediments, effectively curtailing the ingress and migration of corrosive agents towards the metal matrix. Moreover, the outcomes gleaned from this study offer valuable insights into the multifaceted nature of composite material corrosion behavior. It becomes apparent that various auxiliary factors exert a profound influence on the corrosion dynamics of these advanced materials.
Wear mechanisms on metal seal pairs surfaces in three-body abrasive environments: removal of asperity peaks
Authors: Wei Tangshengjie , Zhang Kai , Zhou Qin , Zhou Ziyi , Lv Minghao , Di Yunfei , Qin Kun 
Published: March 2024

Abstract
Surface roughness characteristics are considered to be important in influencing wear performance, with asperity peaks being among the more influential. Changes in the asperity peaks removal mechanism were explored at the microscopic level through friction wear experiments, revealing the reasons for changes in the macroscopic wear amount. The asperity peaks show different forms of removal under metal surface with different roughness characteristics. At low roughness it is mainly removed as a whole and at high roughness it is mainly removed partially. In addition, the ranges of roughness parameters Ra and Rpk, which have excellent wear performance, were determined. The research in this paper can provide assistance in designing the processing of metal surfaces to reduce wear loss.
Mammals’ use of forest-cashew-rice mosaics in West Africa is modulated by their trophic guild
Authors: Fernàndez Aina Rossinyol , Dabo Djunco , Silva Francisco dos Reis , Oliveira Raquel , Seck Sambú , Rainho Ana , Cabeza Mar , Palmeirim Ana Filipa 
Published: March 2024

Abstract
Over millennia, mammals have co-existed with humans across the forest-savannah mosaics characterising part of West Africa. While some savannahs have long been used for rice cultivation in Guinea-Bissau, both those and forests are now being rapidly converted into cashew monocultures. To understand how species cope with such land-use changes, we investigated how mammals make use of forest patches, cashew orchards and rice paddies over two contrasting periods: at the start and at the end of the rainy season. Using camera-trapping, we examined mammal diversity and trophic guild activity across seven landscapes, each comprising three sampling sites located on each of the habitat types in Northern Guinea-Bissau. Based on 937 records from 21 species, species richness and activity were similar across habitat types, but generally higher at the end-rainy season. Species composition differed between the two forestry habitats and rice paddies. At the guild-level, carnivores increased in activity in forests at the start-rainy season, activity decreased in cashew orchards at the end-rainy season for insectivores and at the start-rainy season for herbivores, and omnivores increased in activity in cashew orchards. The similar assemblage-wide diversity across habitat types seems to be enabled by the high habitat heterogeneity but likely offset by previous extinctions from the area. Yet, guild-level habitat use suggested that cashew orchards might not sustain functionally healthy mammal assemblages. Habitat change is expected to become more detrimental under drier climates. Limiting cashew expansion while preserving forests is essential to optimize the long-term conservation of mammal diversity in rural West Africa.