bluuebunny/crossref_metadata_2025_split huggingface dataset:
Farmers’ willingness to adopt digital application tools in Ogun State, Nigeria
Authors: Abioye Daniel Oyewale , Popoola Olufemi , Akande Adebowale , Fadare David Abimbola , Omitoyin Siyanbola Adewumi , Yinusa Babatunde , Kolade Olayinka Oladayo 
Published: August 2024

PurposeThe agricultural sector has experienced a transformative impact through the adoption of digital technologies, particularly mobile applications designed for farmers. This study investigates the factors influencing smallholder farmers' willingness to adopt digital application tools in Ogun State, Nigeria, focusing on the IITA herbicide calculator and Akilimo mobile applications.Design/methodology/approachData were gathered from 572 smallholder farmers participating in the Zero Hunger project. This research contributes to the limited empirical evidence in Nigeria concerning farmers' willingness to adopt digital application tools. The study analyzes the effects of education, training, access to internet services, smartphone ownership, willingness to use paid applications, awareness of application tools and the cost of digital tools on farmers' willingness to adopt. Gender differentials in willingness to adopt were also explored.FindingsThe results indicate positive and statistically significant effects of education, training, internet access, smartphone ownership, willingness to use paid applications, awareness of application tools and the cost of digital tools on farmers' willingness to adopt. However, female farmers exhibited a lower willingness to adopt digital application tools.Practical implicationsPolicymakers are urged to create supportive policies promoting basic formal education and provide effective extension services to enhance farmers' training. Additionally, efforts should be made to reduce the cost of digital applications and improve internet accessibility in rural areas. Encouraging female farmers to adopt advanced agricultural technologies is essential. Stakeholders are advised to raise awareness of digital application tools to expedite the adoption of agricultural technologies in the country.Social implicationsThis study will be helpful for the government to determine the state’s readiness for digital agriculture, it will help technology developers and agricultural technology startups to understand the factors determining farmers willingness to adopt digital application tools.Originality/valueThis study offers insights into the readiness of Ogun State, Nigeria, for digital agriculture. It provides valuable information for technology developers and agricultural startups to understand the determinants of farmers' willingness to adopt digital application tools, contributing to the advancement of the agricultural technology landscape.
Cross‐correlation reflection waveform inversion based on a weighted norm of the time‐shift obtained by dynamic image warping
Authors: Qu Yingming , Dong Shihao , Zhong Tianmiao , Ren Yi , Li Zizheng , Xing Boshen , Li Yifan 
Published: August 2024

AbstractThe computational efficiency of cross‐correlation reflection waveform inversion can be improved by utilizing the outcomes of reverse time migration instead of the least‐squares reverse time migration results in each iteration. However, the inversion effect of cross‐correlation reflection waveform inversion needs to be optimized as the inversion results may not be optimal. The conventional cross‐correlation operator tends to produce interference values that can compromise the precision of time‐shift estimations. Moreover, the time shift obtained through dynamic image warping can exhibit spiky disturbances, making it difficult to determine accurate time‐shift values. These challenges can cause the inversion process to converge to a local minimum, thereby affecting the quality of the inversion results. To address these limitations, this paper proposes a new approach called cross‐correlation reflection waveform inversion based on dynamic image warping. The proposed method integrates a weighted norm derived from dynamic image warping to effectively regulate the time‐shift values throughout the inversion process. The effectiveness of the proposed cross‐correlation reflection waveform inversion based on the dynamic image warping method is validated through simulations using a simple two‐layer model and a resampled Sigsbee 2A model. A comparative analysis is performed to evaluate the performance of cross‐correlation reflection waveform inversion based on dynamic image warping in mitigating cross‐correlation interference, demonstrating its superior capability compared to the conventional cross‐correlation reflection waveform inversion method.
Depositional Environment and Origin of Inertinite‐rich Coal in the Ordos Basin
Authors: SHI Qingmin , ZHAO Jun , JI Ruijun , XUE Weifeng , HAN Bo , CAI Yue , LI Chunhao , CUI Shidong 
Published: August 2024

AbstractInertinite‐rich coal is widely distributed in the Ordos Basin, represented by the No. 2 coal seam of the Middle Jurassic Yan'an Formation. This paper combined coal petrology and geochemistry to analyze the origin of inertinite, changes in the coal‐forming environment and control characteristics of wildfire. Research has shown that there are two forms of inertinite sources in the study area. Alongside typical fusinization, wildfire events also play a substantial role in inertinite formation. There are significant fluctuations in the coal‐forming environment of samples at different depths. Coal samples were formed in dry forest swamp with low water levels and strong oxidation, which have a high inertinite content, and the samples formed in wet forest swamp and limnic showed low inertinite content. Conversely, the inertinite content of different origins does not fully correspond to the depositional environment characterized by dryness and oxidation. Nonpyrogenic inertinites were significantly influenced by climatic conditions, while pyrofusinite was not entirely controlled by climatic conditions but rather directly impacted by wildfire events. The high oxygen level was the main factor causing widespread wildfire events. Overall, the combination of wildfire activity and oxidation generates a high content of inertinite in the Middle Jurassic coal of the Ordos Basin.
Psychosis metabolic risk calculator (PsyMetRiC) in early psychosis: External validation study in Finland
Authors: Keinänen Jaakko , Eskelinen Saana , From Tiina , Laurikainen Heikki , Hietala Jarmo , Murray Graham K. , Suvisaari Jaana , Perry Benjamin I. 
Published: August 2024

AbstractIntroductionAccurate detection of cardiometabolic risk in early psychosis is crucial to reducing somatic morbidity and mortality in people with psychotic disorders. We conducted an external validation of the psychosis metabolic risk calculator (PsyMetRiC), a cardiometabolic risk prediction tool developed in the UK and tailored for young people with psychosis. We compared the predictive accuracy and clinical usefulness of PsyMetRiC and a general population‐based risk prediction tool for type 2 diabetes, the Finnish Diabetes Risk Score (FINDRISC).MethodsWe included first‐episode psychosis and ultra‐high‐risk for psychosis patients without metabolic syndrome aged 18–35 years from the Helsinki Early Psychosis and Turku Early Psychosis Study cohorts. We tested two versions of PsyMetRiC: the full model including age, sex, ethnicity, body‐mass index, smoking status, prescription of metabolically‐active antipsychotic medication, high‐density lipoprotein, and triglyceride concentrations, and the partial‐model excluding biochemical predictors, and the simplified FINDRISC including BMI, sex, systolic blood pressure, and fasting glucose. Discrimination, calibration, and decision curve analyses were used to assess the predictive performance and clinical usefulness of both PsyMetRiC and FINDRISC. We performed a site‐specific re‐calibration of PsyMetRiC (PsyMetRiC‐Fi).ResultsThe study sample consisted of 278 individuals (all White European ethnicity, 58.6% male, mean age 24.8 years, 37.8% smoking, mean BMI 23.5). Discrimination was marginally better in the PsyMetRiC full model (C = 0.72, 95% CI, 0.59–0.82) compared with partial model (C = 0.70, 95% CI 0.59–0.80) or FINDRISC (C = 0.63, 95% CI 0.54–0.71). Calibration plots displayed evidence of minor miscalibration for PsyMetRiC, which corrected following recalibration. Miscalibration was more pronounced for FINDRISC. Decision curve analysis showed that PsyMetRiC offers likely clinical usefulness in improving cardiometabolic risk management in early psychosis compared with giving everyone or no one an intervention.ConclusionPsyMetRiC has utility in predicting cardiometabolic risk in Finnish patients with early psychosis. It has better discriminatory accuracy and offers more accurate risk prediction compared to other available strategies.
The production of terra sigillata in Arezzo, Central Italy: an archaeometric investigation
Authors: Mascaro Maria Emanuela , Cantisani Emma , Ricci Marilena , Pallecchi Pasquino , Vilucchi Silvia , Dalconi Maria Chiara , Maritan Lara 
Published: August 2024

AbstractThis work deals with the archaeometric investigation on 25 fragments of terra sigillata (red‐coated ceramic ware and moulds) found in the city of Arezzo, Tuscany (central Italy), and attributed to several important workshops from the first century BCE to the second century CE. Optical and spectroscopic techniques were used to analyse both the ceramic bodies and the red slips. All the potsherds showed a very fine‐grained ceramic body, sharing similar mineralogical compositions, mainly consisting in quartz, plagioclase, pyroxene, hematite, K‐feldspars, and illite/muscovite. The mineralogical data suggest that both the red‐coated wares and the moulds were produced using the same calcareous‐illitic clay and fired under oxidising conditions at temperatures between 850°C and 1000°C. A K‐rich illitic clay with a Fe content around 10–15% (in wt%) was used to elaborate the slips. Al‐substituted hematite was found in red slips by micro‐Raman spectroscopy. Comparison of the chemical data with terra sigillata from other important production areas in Italy and from other regions of the Meditteranean Sea, allowed to define that the studied samples, locally produced in Arezzo, differ systematically from all others, although they show similarities with nearby Pisan productions as well as those Puteolan.
Digital workflow for graft harvest and positioning in deficient anterior mandibles versus conventional technique: Randomized controlled trial
Authors: Sakr Mohamed Ibrahim , Hanafy Mahmoud , Gibaly Amr , Mounir Mohamed 
Published: August 2024

AbstractBackgroundThe cortical shell technique is frequently associated with technical drawbacks, such as the lack of anatomical guidance during shell harvest and graft. This study aims to assess the horizontal bone gain and accuracy of a digitalized protocol that incorporates two interlocking patient‐specific stackable guides (PSSGs) to control the shell harvest, positioning, and fixation.Patients and MethodsTwenty patients with deficient anterior mandibles were randomly allocated; 10 patients received freehand symphyseal shell harvest and fixation (the control group), whereas the other 10 received fully guided harvest and graft (study group) using (PSSGs), the first aided an accurate shell harvest, whereas the second conveyed shell fixation. The interposition gap among both groups was loaded with an equal mix of xenogeneic and autogenous particulates. The mean radiographic bone gain among both groups was calibrated 6 months postoperatively, and the accuracy of the digital plan was assessed by superimposing and comparing the virtually planned horizontal bone dimensions with the immediate postoperative actual bone dimensions.ResultsThe mean 6‐month postoperative horizontal bone gain value of the study group was recorded as (4.97 ± 0.73) mm versus (4.45 ± 0.61) mm for the control group, with a statistically insignificant mean gain difference of (0.52) mm, (p = 0.101). The mean virtual preplanned horizontal bone gain was recorded (5.4 ± 0.6) versus (5.4 ± 0.6) for the immediate postoperative actual bone gain, which was also statistically insignificant (p = 0.9).ConclusionThe (PSSGs) provided a precise method for graft harvest, position, and fixation, resulting in satisfactory alveolar ridge dimensions with intimate accuracy.
Use of fusion imaging in safe, rapid, and accurate placement of percutaneous right ventricular assist device in the management of acute post‐surgical right ventricular failure
Authors: Alkhawam Mustafa , Chen Weihan , Mahmood Abdullah , Ebrahimi Ali J. , Nanda Navin C. , Ahmed Mustafa I. 
Published: August 2024

AbstractFusion imaging (FI) technology using EchoNavigator that integrates live transesophageal echocardiogram and overlays on real‐time fluoroscopy. We present our experience placing a right ventricular (RV) support device, a ProtekDuo, in our patient with post‐operative RV failure using FI to guide the implantation.
Maternal immune activation exerts long‐term effects on activity and sleep in male offspring mice
Authors: ElGrawani Waleed , Mueller Flavia S. , Schalbetter Sina M. , Brown Steven A. , Weber‐Stadlbauer Ulrike , Tarokh Leila 
Published: August 2024

AbstractExposure to infectious or non‐infectious immune activation during early development is a serious risk factor for long‐term behavioural dysfunctions. Mouse models of maternal immune activation (MIA) have increasingly been used to address neuronal and behavioural dysfunctions in response to prenatal infections. One commonly employed MIA model involves administering poly(I:C) (polyriboinosinic‐polyribocytdilic acid), a synthetic analogue of double‐stranded RNA, during gestation, which robustly induces an acute viral‐like inflammatory response. Using electroencephalography (EEG) and infrared (IR) activity recordings, we explored alterations in sleep/wake, circadian and locomotor activity patterns on the adult male offspring of poly(I:C)‐treated mothers. Our findings demonstrate that these offspring displayed reduced home cage activity during the (subjective) night under both light/dark or constant darkness conditions. In line with this finding, these mice exhibited an increase in non‐rapid eye movement (NREM) sleep duration as well as an increase in sleep spindles density. Following sleep deprivation, poly(I:C)‐exposed offspring extended NREM sleep duration and prolonged NREM sleep bouts during the dark phase as compared with non‐exposed mice. Additionally, these mice exhibited a significant alteration in NREM sleep EEG spectral power under heightened sleep pressure. Together, our study highlights the lasting effects of infection and/or immune activation during pregnancy on circadian activity and sleep/wake patterns in the offspring.
The posterior intralaminar thalamic nucleus promotes nose‐to‐nose contacts leading to prosocial reception in the sequence of mouse social interaction
Authors: Arakawa Hiroyuki , Tokashiki Mana 
Published: August 2024

AbstractEfficient social interaction is essential for an adaptive life and consists of sequential processes of multisensory events with social counterparts. Social touch/contact is a unique component that promotes a sequence of social behaviours initiated by detection and approach to assess a social stimulus and subsequent touch/contact interaction to form prosocial relationships. We hypothesized that the thalamic sensory relay circuit from the posterior intralaminar nucleus of the thalamus (pIL) to the paraventricular nucleus of the hypothalamus (PVN) and the medial amygdala (MeA) plays a key role in the social contact‐mediated sequence of events. We found that neurons in the pIL along with the PVN and MeA were activated by social encounters and that pIL activity was more abundant in a direct physical encounter, whereas MeA activity was dominant in an indirect through grid encounter. Chemogenetic inhibition of pIL neurons selectively decreased the investigatory approach and sniffing of a same‐sex, but not an opposite‐sex, stimulus mouse in an indirect encounter situation and decreased the facial/snout contact ratio in a direct encounter setting. Furthermore, chemogenetic pIL inhibition had no impact on anxiety‐like behaviours or body coordinative motor behaviours, but it impaired whisker‐related and plantar touch tactile sense. We propose that the pIL circuit can relay social tactile sensations and mediate the sequence of nonsexual prosocial interactions through an investigatory approach to tactile contact and thus plays a significant role in establishing prosocial relationships in mouse models.
Preoperative cognitive profile predictive of cognitive decline after subthalamic deep brain stimulation in Parkinson's disease
Authors: Mana Josef , Bezdicek Ondrej , Růžička Filip , Lasica Andrej , Šmídová Anna , Klempířová Olga , Nikolai Tomáš , Uhrová Tereza , Růžička Evžen , Urgošík Dušan , Jech Robert 
Published: August 2024

AbstractCognitive decline represents a severe non‐motor symptom of Parkinson's disease (PD) that can significantly reduce the benefits of subthalamic deep brain stimulation (STN DBS). Here, we aimed to describe post‐surgery cognitive decline and identify pre‐surgery cognitive profile associated with faster decline in STN DBS‐treated PD patients. A retrospective observational study of 126 PD patients treated by STN DBS combined with oral dopaminergic therapy followed for 3.54 years on average (SD = 2.32) with repeated assessments of cognition was conducted. Pre‐surgery cognitive profile was obtained via a comprehensive neuropsychological examination and data analysed using exploratory factor analysis and Bayesian generalized linear mixed models. On the whole, we observed a mild annual cognitive decline of 0.90 points from a total of 144 points in the Mattis Dementia Rating Scale (95% posterior probability interval [−1.19, −0.62]) with high inter‐individual variability. However, true score changes did not reach previously reported reliable change cut‐offs. Executive deficit was the only pre‐surgery cognitive variable to reliably predict the rate of post‐surgery cognitive decline. On the other hand, exploratory analysis of electrode localization did not yield any statistically clear results. Overall, our data and models imply mild gradual average annual post‐surgery cognitive decline with high inter‐individual variability in STN DBS‐treated PD patients. Nonetheless, patients with worse long‐term cognitive prognosis can be reliably identified via pre‐surgery examination of executive functions. To further increase the utility of our results, we demonstrate how our models can help with disentangling true score changes from measurement error in future studies of post‐surgery cognitive changes.
Utilizing an acute hyperthermia‐induced seizure test and pharmacokinetic studies to establish optimal dosing regimens in a mouse model of Dravet syndrome
Authors: Mensah Jeffrey A. , Johnson Kristina , Freeman Tia , Reilly Christopher A. , Rower Joseph E. , Metcalf Cameron S. , Wilcox Karen S. 
Published: August 2024

AbstractObjectiveThe current standard of care for Dravet syndrome (DS) includes polytherapy after inadequate seizure control with one or more monotherapy approaches. Treatment guidelines are often based on expert opinions, and finding an optimal balance between seizure control and adverse drug effects can be challenging. This study utilizes the efficacy and pharmacokinetic assessment of a second‐line treatment regimen that combines clobazam and sodium valproate with an add‐on drug as a proof‐of‐principle approach to establish an effective therapeutic regimen in a DS mouse model.MethodsWe evaluated the efficacy of add‐on therapies stiripentol, cannabidiol, lorcaserin, or fenfluramine added to clobazam and sodium valproate against hyperthermia‐induced seizures in Scn1aA1783V/WT mice. Clobazam, N‐desmethyl clobazam (an active metabolite of clobazam), sodium valproate, stiripentol, and cannabidiol concentrations were quantified in plasma and brain using liquid chromatography–tandem mass spectrometry for the combinations deemed effective against hyperthermia‐induced seizures. The concentration data were used to calculate pharmacokinetic parameters via noncompartmental analysis in Phoenix WinNonLin.ResultsHigher doses of stiripentol or cannabidiol, in combination with clobazam and sodium valproate, were effective against hyperthermia‐induced seizures in Scn1aA1783V/WT mice. In Scn1aWT/WT mice, brain clobazam and N‐desmethyl clobazam concentrations were higher in the triple‐drug combinations than in the clobazam monotherapy. Stiripentol and cannabidiol brain concentrations were greater in the triple‐drug therapy than when given alone.SignificanceA polypharmacy strategy may be a practical preclinical approach to identifying efficacious compounds for DS. The drug–drug interactions between compounds used in this study may explain the potentiated efficacy of some polytherapies.
CADICA: A new dataset for coronary artery disease detection by using invasive coronary angiography
Authors: Jiménez‐Partinen Ariadna , Molina‐Cabello Miguel A. , Thurnhofer‐Hemsi Karl , Palomo Esteban J. , Rodríguez‐Capitán Jorge , Molina‐Ramos Ana I. , Jiménez‐Navarro Manuel 
Published: August 2024

AbstractCoronary artery disease (CAD) remains the leading cause of death globally and invasive coronary angiography (ICA) is considered the gold standard of anatomical imaging evaluation when CAD is suspected. However, risk evaluation based on ICA has several limitations, such as visual assessment of stenosis severity, which has significant interobserver variability. This motivates to development of a lesion classification system that can support specialists in their clinical procedures. Although deep learning classification methods are well‐developed in other areas of medical imaging, ICA image classification is still at an early stage. One of the most important reasons is the lack of available and high‐quality open‐access datasets. In this paper, we reported a new annotated ICA images dataset, CADICA, to provide the research community with a comprehensive and rigorous dataset of coronary angiography consisting of a set of acquired patient videos and associated disease‐related metadata. This dataset can be used by clinicians to train their skills in angiographic assessment of CAD severity, by computer scientists to create computer‐aided diagnostic systems to help in such assessment, and to validate existing methods for CAD detection. In addition, baseline classification methods are proposed and analysed, validating the functionality of CADICA with deep learning‐based methods and giving the scientific community a starting point to improve CAD detection.
Multi‐stage stochastic frontier analysis for simple networks
Authors: Johnes Geraint , Tsionas Mike , Izzeldin Marwan 
Published: August 2024

AbstractWe develop a method for modelling multi‐stage production using stochastic frontier analysis. This approach is suitable for the analysis of costs or output where intermediate outputs become inputs into a subsequent stage of the production process, either within an organisation or in the form of a supply chain. Our focus is on higher education institutions in England, and the purpose is to assess the performance of our novel methods using Markov Chain Monte Carlo methods. Without taking into full account of the complexity of the ‘network’, key decisions cannot be made regarding intake quality, student/staff ratios, per‐student spending or academic reputation (the last of which involves costly decisions in terms of academic openings and the profile of candidates desired for any given university).