bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Discrete New XLindley Distribution And The Associated Autoregressive Process
Authors: R Maya , P Jodra , S Aswathy , M.R. Irshad 
Published: February 2024

Abstract
The continuous new XLindley distribution was introduced by Nawel et al. (2023) as a special case of the polynomial exponential distribution proposed by Beghriche et al. (2022).The current paper introduces the one-parameter discrete analogue distribution of the newXLindley model and studies its main statistical properties. In particular, closed-formexpressions are provided for the moment generating function, mean, variance, quantilefunction, hazard rate function and mean residual life. Moreover, the new distribution hasdiscrete increasing failure rate and both overdispersed and underdispersed count data canbe handled. The estimation of the unknown parameter can be performed by the maximum likelihood method and a Monte Carlo simulation study reveals that this methodprovides satisfactory estimates. Additionally, a first-order integer-valued autoregressiveprocess is constructed from the discrete distribution and, via a simulation study, the conditional maximum likelihood method is recommended for estimation purposes. In orderto assess the usefulness in practical applications, the proposed distribution and the associated first-order autoregressive process are compared to other competing distributionsand processes, using to this end several real data sets. In the context of statistical qualitycontrol, finally a cumulative sum control chart is developed for monitoring the processmean. To illustrate its usefulness, both simulation and real data analysis are performed.
Cover Crop Root Exudates Impact Soil Microbiome Functional Trajectories in Agricultural Soils
Authors: Seitz Valerie A. , McGivern Bridget B. , Borton Mikayla A. , Chaparro Jacqueline M. , Schipanski Meagan E. , Prenni Jessica E. , Wrighton Kelly C. 
Published: February 2024

Abstract

Background
Cover cropping is an agricultural practice that uses secondary crops to support the growth of primary crops through various mechanisms including erosion control, weed suppression, nutrient management, and enhanced biodiversity. Cover crops may elicit some of these ecosystem services through chemical interactions with the soil microbiome via root exudation, or the release of plant metabolites from roots. Phytohormones are one metabolite type exuded by plants that activate the rhizosphere microbiome, yet managing this chemical interaction remains an untapped mechanism for optimizing plant-soil microbiome interactions. Currently, there is limited understanding on the diversity of cover crop phytohormone root exudation patterns and how these chemical messages selectively enrich specific microbial taxa and functionalities in agricultural soils.
Results
Here, we link variability in cover crop root exudate composition to changes in soil microbiome functionality. Exudate chemical profiles from 4 cover crop species (Sorghum bicolor, Vicia villosa, Brassica napus, and Secale cereal) were used as the chemical inputs to decipher microbial responses. These distinct exudate profiles, along with a no exudate control, were amended to agricultural soil microcosms with microbial responses tracked over time using metabolomes and genome-resolved metatranscriptomes. Our findings illustrated microbial metabolic patterns were unique in response to cover crop exudate inputs over time, particularly by sorghum and cereal rye amended microcosms where we identify novel microbial members (at the genera and family level) who produced IAA and GA4 over time. We also identify broad changes in microbial nitrogen cycling in response chemical inputs.
Conclusions
We highlight that root exudate amendments alter microbial community function and phytohormone metabolisms, particularly in response to root exudates isolated from cereal rye and sorghum plants. Additionally, we constructed a soil microbial genomic catalog of microorganisms responding to commonly used cover crops, a public resource for agriculturally-relevant microbes. Many of our exudate-stimulated microorganisms are representatives from poorly characterized or novel taxa, highlighting the yet to be discovered metabolic reservoir harbored in agricultural soils. Our findings emphasize the tractability of high-resolution multiomics approaches to investigate processes relevant for agricultural soils, opening the possibility of targeting specific soil biogeochemical outcomes through biological precision agricultural practices that use cover crops and the microbiome as levers for enhanced crop production.
Telemedicine and Neurology: A survey of Neurology patients in a Nigerian tertiary hospital
Authors: Yakubu Aliu O. , Olalude Oluwakemi Eunice , Salami Mayowa Sodiq , Amuta Augustine Chijioke , Amusa Abeedat Olaide , Salaudeen Hasanat Adejoke , Awoyemi Ayodeji John 
Published: February 2024

Abstract

BACKGROUND
Telemedicine has been recognized as a viable solution for addressing the shortage of medical professionals in developing countries such as Nigeria. Tele-neurology has the potential to provide remote consultations and care for patients with neurological conditions, thereby reducing the burden of travel and improving access to medical care. Despite its growing popularity, there is a lack of research on patient’s view on this mode of care delivery in Nigeria. This study was conducted to investigate patient's perspective on the use of tele-neurology in Nigeria.
METHODOLOGY
A descriptive cross-sectional study was conducted among 398 neurology patients at Olabisi Onabanjo University Teaching Hospital, Sagamu, Ogun State, Nigeria. The data obtained were analyzed using descriptive statistics and a chi-square test using p < 0.05
RESULTS
Only 3% of our respondents had previously used telemedicine, with 78.1% of the respondents open to using telemedicine as a means of consultation. The disadvantages of telemedicine noted include limitations in assessing neurological status (94.7%), difficulty in explaining health conditions (84.4%), and lack of technical support (14.6%). The majority of respondents (96.5%) believe telemedicine will help in saving time. There was a statistically significant association between propensity to use telemedicine and time spent in the hospital (0.045), and time off work (<0.001). The propensity to use telemedicine was statistically significant to the use of email (0.001) and type of email address (0.001).
CONCLUSION
The findings suggest that there is a need for healthcare providers and policymakers to invest in developing telemedicine to improve access to care.
Soil Legacy Phosphorus Transformation in Long-term Fertilized Phaeozems Soil under Maize/Soybean Intercropping
Authors: Li Yang , Zhao Yuhang , Chen Tianwen , Zhou Junfeng , Ma Hanying , Chen Yuanquan , Sui Peng 
Published: February 2024

Abstract
Root exudate could improve crop productivity and phosphorus (P) acquisition in maize/soybean intercrops. However, the synergistic effects between intercropped plants, the regulation of soil phosphatase activity, and P transformation corresponding to it remain elusive. Three kinds of root separation treatments, solid barrier (SB), mesh barrier (MB), and no barrier (NB), using pot experiment, were conducted to quantify the effects of plants, rhizosphere exudates exchange and the complete root interaction. Sequential extraction and 31P-NMR spectroscopic analysis methods complement each other, which can better explain the combination forms of P elements. This work suggests that maize under NB stimulated a decrease in NH4F-inorganic P (Pi, 7.91%) and occluded Pi (7.46%) compared to those under SB. In the presence of maize signaling chemicals (MB treatment), the percentage of mononucleotides was enriched, while neo-inositol hexakisphosphate, β-glycerophosphate, and phosphocholine declined in the soybean rhizosphere compared to SB. Under both two plants, phosphodiesterase (PDE) activity was negatively correlated with pyrophosphate. The activity of alkaline phosphatase (ALP) was the highest in the MB treatment of maize and soybean, which increased from 33.80 to 44.5 and 41.92 (ug g− 1 h− 1) compared with bulk soil. Maize under monocropping mainly mobilizes acid phosphatase (ACP), but it is converted to ALP and PDE when intercropping with soybean. Knowledge of P species in P-rich soils helps assess P potential transfer and provides new evidence for the value of cereal-legume intercrops in reducing fertilizer input.
Ambient Air Quality Monitoring of Sankari Crystalline Mining Areas in Salem District Tamil Nadu India
Authors: Sakthivel Chinnadurai , Thirunavukkarasu Arisiappan 
Published: February 2024

Abstract
To access the Ambient Air Quality monitoring of Sankari crystalline Limestone Mining areas in Salem District of Tamil Nadu, India, this study was conducted during the year 2018 to 2019. A total of ten (10) locations were selected in the study area for ambient air quality monitoring for five pollutants mainly particulate Matter less than 10 µ sizes (PM10), Particulate Matter less than 2.5 µ size (PM2.5), Nitrogen dioxide (NO2), sulfur dioxide (SO2) and Ozone (O3). The study revealed that the average concentration of gaseous pollutants i.e. NO2, SO2, and O3 in ambient air are well within standard limits at all selected locations however particulate matter (PM10, PM2.5) levels were found to exceed national Ambient Air Quality Standards 2009 at all monitoring locations. The Air Quality Index was poor (Alathur-209.56 and Karumapurathanur-203.39) at two locations, moderate (Virachipalayam-198.12, Pallakkapalayam-137.46, Chinnagundanur-165.45, Devannagoundanur − 174.24, Sanniyasipatti 142. 61, Arasiramani 184.41) at six locations and satisfactory (Padaiveedu-95.02, Sankari − 68.37) at two locations in the Sankari areas. Overall ambient Air Quality monitoring of Sankari areas was observed to be moderate during this study span.
An analytic derivation of the galaxy halo density profile
Authors: Booth Robin Anthony James 
Published: February 2024

Abstract
We examine some of the consequences of the exochronous (timeless) metric and the associated $\Sigma$GR cosmological model for the formation of galaxies, and in particular, their characteristic rotation curves. We show how the cumulative curvature from the multiple spatial hypersurfaces in this model leads to a modified version of the Poisson equation in which the gravitational potential is computed over 4D space.Using this new form of the Poisson equation, we derive an analytic expression for gravitational potential as a function of radial distance for a uniform gas cloud undergoing gravitational collapse. We show that this results in a radial velocity profile that provides an excellent fit with commonly observed galaxy rotation curves, and hence fully accounts for the effects previously ascribed to dark matter. An expression can be derived for the equivalent matter density profile corresponding to the $\Sigma$GR gravitational potential, from which it is evident that this is very similar in form to the well known Navarro-Frenk-White profile.
As a further illustration of the consequences of adopting the exochronous metric, we show how the principle can readily be incorporated into particle-mesh N-body simulations of large scale structure evolution, using a relaxation solver for the solution to the Poisson equation and the evolution of the gravitational potential. Examples of the use of this simulation model are shown for the cases of: (a) initial evolution of large scale structure, and (b) galaxy formation from a gravitationally collapsing gas cloud. In both cases is is possible to directly visualise the build up of the gravitational potential in 3D space as the simulation evolves, and note how this corresponds to what is currently assumed to be dark matter.
Ten Years after the Implementation of the Risk Management Plan in Japan: The Impact of Risk Management Plan on Package Insert Revision
Authors: Kameyama Natsuko , Hosaka Aoi , Maeda Hideki 
Published: February 2024

Abstract
It has been 10 years since the Japanese Risk Management Plan (RMP) was implemented in 2013. However, the impact of the Japanese RMP (J-RMP) system on drug safety measures is unclear. Herein, we investigated the impact of the J-RMP system on package insert (PI) revision, focusing on the rapidity of identification of clinically significant adverse reactions (ARs) as an effect indicator of the J-RMP system in drug safety measures. We created an original database from public information of the Pharmaceuticals and Medical Devices Agency and investigated the speed of adding clinically significant ARs to PIs. Comparing the time lapse from drug approvals to PI revisions after the implementation of the J-RMP system to that before implementation, the median value was 32 months vs. 32 months (149 vs. 318 cases), and no significant difference was observed. We also compared the time lapse from drug approvals to PI revisions when additional ARs had been included as safety specifications at the time of drug approvals and when they had not been included, and the median value was 35 months vs. 32 months (14 cases vs. 126 cases, p = 0.7820), and no statistically significant difference was observed. Therefore, it was suggested that the J-RMP system did not affect PI revision and its speed. It should be considered how to effectively utilize J-RMP for safety measures in Japan.
Is there some predictive factors for isolated brain PROgression in patients with CErebral metastatic MElanoma after treatment with stereotactic brain radiotherapy ? a retrospective, single-center study. PROCEME
Authors: CROIX Manuel , LEQUESNE Justine , GEFFRELOT Julien , DOMPMARTIN Anne , L’ORPHELIN Jean Matthieu 
Published: February 2024

Abstract
Purpose Melanoma is a skin cancer with an excellent prognosis if diagnosed at an early stage. Melanoma has a high potential for brain metastasis, making the prognosis considerably poorer despite the development of local and systemic treatments. In current practice, we observe discordant responses and progression profiles at cerebral and extra-cerebral levels. The aim of this study was to identify predictive factors of isolated brain progression after treatment with stereotactic brain radiotherapy, with or without systemic treatment.Methods Between January 2014 and December 2020, 121 patients treated with stereotactic brain radiotherapy in context of melanoma stage IV were included. Radiotherapy was associated to systemic treatment in the major of cases (Targeted Therapies, Immunotherapy, or Chemotherapy).Results In our cohort, 83 patients showed progression after stereotactic brain radiotherapy: 38 in brain only, 45 in brain and at distance. The study showed a double increase in the risk of isolated brain progression in BRAF V600 mutated patients compared with BRAF V600 WT patients (OR = 2.29; CI 95 [0.94; 5.72] p-value 0.071), but not confirmed after adjustment on confounding factors. BRAF V600 WT patients treated with immunotherapy have a 4-fold greater risk of multi-site progression, compared to BRAF V600 mutated treated with targeted therapies (OR: 0.233 IC95% [0.58 ;0.847]).Conclusion BRAF V600 mutated melanomas seems more at risk of isolated brain escape in our cohort we therefore need to develop new local therapies for these patients in the future, and clarify the mechanisms of intrinsic and extrinsic resistance.
Benchmarking the use of Dimensional Reduction Techniques: A Case Study of Oesophageal Cancer Image Analysis
Authors: Nath Shekhar Jyoti , Panda Satish K. , Kar Rajiv K. 
Published: February 2024

Abstract
The dimensionality reduction method is one of the most popular approaches for handling complex data characterised by numerous features and variables. In this work, we benchmarked the application of different techniques to interpret cancer-based in vivo microscopic images. We focus on several dimensionality reduction methods, including PCA, LDA, t-SNE, and UMAP, to evaluate the performance of the image dataset analysis (5043 images). The benchmarking study establishes the efficacy of traditional machine learning algorithms for biomedical image analysis. Model descriptions based on logistic regression, support vector, K-means clustering, K-nearest neighbour, random forest, gradient boosting, and adaboost classifiers were employed. The study also evaluates the importance of visualisation techniques relevant for identifying hidden patterns, anomalies, and trends that are not readily discernible in high-dimensional data. The benchmarking study uses approaches like random splits and K-fold cross-validation. Further evaluation metrics such as accuracy, sensitivity, specificity, and ROC-AUC score are employed to assess the performance of the employed dimensionality reduction methods. Their relevance for data visualisation as well as predictive modelling is demonstrated. Overall, the study is useful for understanding the relevance of effective data classification and visualisation problems, thereby enhancing the interpretability and analysis of biomedical images.
Effect of Solid Waste Generation on Soil Quality Dynamics
Authors: Udoh Ubong Godswill 
Published: February 2024

Abstract
The consequences of solid waste on soil quality were carried out by collecting Soil samples taken in triplicate from different soil layers (0-15cm, 15-30cm, and 30-45cm) and analyzed to determine the effect of solid waste on the physical and chemical parameters of the soil surrounding the research area, to ascertain the level of heavy metals in the soil and to compare values with the National Environmental Standards and Regulation Enforcement Agency and the World Health Organization recommended standards. The elemental composition of selected heavy metals from the dumpsite was done using an atomic absorption spectrophotometer. The mean values of soil pH ranged from 5.50–4.72 in the dumpsite and 7.51–6.99 in the control site in all three soil depths (0–15, 15–30, 30-45em) this indicates that the soil at the dump site was moderately acidic at 5.50 (0-15cm soil depth) and very strongly acidic at 4.72 (30-45cm soil depth), while that of the control was almost neutral at 6.77 (0–15 soil depth) and slightly alkaline at 7.51 (30–45 soil depth). The organic matter level of the soil varied significantly (P = 0.05), with the topsoil (0-15cm) having the highest concentration. The topsoil organic matter at the dumpsite soil was 14.72%, compared to 17.55% at the control site. This study found that the concentration of heavy metals such as cadmium, cobalt, copper, lead, manganese, nickel, and zinc in the dumpsite was substantially greater (p 0.05) than in the control site.
The potential of SCUBE-1 levels as a biomarker for placental malfunction in preeclampsia
Authors: ALTINCI Halil İbrahim , YÜCEL Neşe , ADIGÜZEL Fikriye Işıl , KÜKRER Sadık 
Published: February 2024

Abstract
Purpose
The aim of the study is to compare the plasma levels of SCUBE-1, a marker of vascular injury and endothelial dysfunction, between preeclamptic and normotensive pregnant women.
Methods
The current study was carried out at Health Sciences University Adana City Training and Research Hospital, implementing a prospective research design. The study included 46 pregnancies diagnosed with preeclampsia and an equal number of pregnancies with normal blood pressure, serving as control subjects.
Results
There were no statistically significant differences observed in age, gravidity, parity, or BMI as demographic features among the groups. A significant increase in the concentrations of SCUBE-1 levels was observed in pregnancies that presented with preeclampsia (p < 0.001).
Conclusions
The potential of SCUBE-1 as a prognostic indicator for vascular damage in pregnancy is worth considering. Our research is the initial investigation to demonstrate elevated levels of SCUBE-1 in preeclampsia, indicating impaired function of the endothelial cells in the placenta.
Fracture Mechanics Modeling of Aortic Dissection
Authors: Yeerella Ram Hemanth , Cai Shengqiang 
Published: February 2024

Abstract

Aortic dissection, a critical cardiovascular condition with life-threatening implications, is distinguished by the development of a tear and its propagation within the aortic wall. A comprehensive comprehension of the initiation and progression of these tears, or cracks, is essential for accurate diagnosis and effective treatment. This paper undertakes a fracture mechanics approach to delve into the mechanics of tear propagation in aortic dissection. Our objective is to elucidate the impact of geometric and material parameters, providing valuable insights into the determinants of this pivotal cardiovascular event. Through our investigation, we have gained an understanding of how various parameters influence the energy release rate for tear propagation in both longitudinal and circumferential directions, aligning our findings with clinical data.
Features of germination, emergence modeling, longevity, and persistence in Bidens pilosa seed bank
Authors: Zandoná Renan Ricardo , Goulart Francisco de Assis Pujol , Puntel Simone , Ulguim André Da Rosa , Agostinetto Dirceu 
Published: February 2024

Abstract
To develop models capable of predicting the emergence of hairy beggarticks and assist integrated management, it is fundamental to have knowledge of the environmental factors that influence the germination of the species. The objective of this study was to estimate temperature and water potential cardinals for hairy beggarticks germination, the longevity of its seed bank, and to develop a model of its emergence in the field. Experiments were carried out in the laboratory to determine the temperature and water potential base for seed germination. Eight different temperatures (10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, and 45.0°C), and 10 different water potentials (0, -0.05, -0.1, -0.2, -0.4, -0.6, -0.9, -1.2, -1.5, and − 2.0 MPa) were tested. The field experiments were conducted between 2014 and 2019 using three monitoring seedling emergences. To evaluate the longevity and persistence of the seed bank, a factorial experiment was conducted with three burial depths (0, 3, and 6 cm) and five seed retrieval moments (0, 1, 4, 10, and 16 months). Base, optimal, and maximum temperatures for hairy beggarticks germination are 10.4°C, 24.7°C, and 41.8°C, respectively. The base water potential for the emergence of hairy beggarticks is -0.85 MPa. The thermal and hydrothermal time models are adequate to predict the emergence of hairy beggarticks in different soybean sowing dates. The species has a transient seed bank, however, the greater the seed burial depth, the greater the longevity of the soil seed bank.
AI in Education: A Cross-National Study of Open Schooling Using the CARE-KNOW-DO Framework for Sustainable Development Goals.
Authors: Okada Alexandra , Sherborne Tony , Panselinas Giorgos , Kolionis Georgios 
Published: February 2024

Abstract
This cross-national mixed-methods study examines transversal skills views of 330 underserved secondary school students from the UK, Greece, and Brazil. This work validates a new self-reported instrument with AI-based open schooling activities within the CARE-KNOW-DO framework. This study combines quantitative and qualitative analyses to evaluate pedagogical strategies' effectiveness in nurturing vital 21st-century skills. The findings highlight seven key components: proactive exploration, problem solving, scientific citizenship, science connection, affective engagement, science participation, and future prospects. This study emphasizes the importance of customized educational approaches to suit cultural and age differences, promoting flexible curricula and innovative teaching methods. This research aligns with Agenda 2030, aiming to enhance global educational strategies through open schooling initiatives for sustainable and inclusive education.