bluuebunny/crossref_metadata_2025_split huggingface dataset:
EGR2 gene‐linked hereditary neuropathies present with a bimodal age distribution at symptoms onset
Authors: Echaniz‐Laguna Andoni , Cauquil Cécile , Chanson Jean‐Baptiste , Tard Céline , Guyant‐Marechal Lucie , Kuntzer Thierry , Ion Ioana Maria , Lia Anne‐Sophie , Bouligand Jérôme , Poinsignon Vianney 
Published: June 2023

AbstractBackgroundMutations in the Early‐Growth Response 2 (EGR2) gene cause various hereditary neuropathies, including demyelinating Charcot–Marie‐Tooth (CMT) disease type 1D (CMT1D), congenital hypomyelinating neuropathy type 1 (CHN1), Déjerine–Sottas syndrome (DSS), and axonal CMT (CMT2).MethodsIn this study, we identified 14 patients with heterozygous EGR2 mutations diagnosed between 2000 and 2022.ResultsMean age was 44 years (15–70), 10 patients were female (71%), and mean disease duration was 28 years (1–56). Disease onset was before age 15 years in nine cases (64%), after age 35 years in four cases (28%), and one patient aged 26 years was asymptomatic (7%). All symptomatic patients had pes cavus and distal lower limbs weakness (100%). Distal lower limbs sensory symptoms were observed in 86% of cases, hand atrophy in 71%, and scoliosis in 21%. Nerve conduction studies showed a predominantly demyelinating sensorimotor neuropathy in all cases (100%), and five patients needed walking assistance after a mean disease duration of 50 years (47–56) (36%). Three patients were misdiagnosed as inflammatory neuropathy and treated with immunosuppressive drugs for years before diagnosis was corrected. Two patients presented with an additional neurologic disorder, including Steinert's myotonic dystrophy and spinocerebellar ataxia (14%). Eight EGR2 gene mutations were found, including four previously undescribed.Interpretation.Our findings demonstrate EGR2 gene‐related hereditary neuropathies are rare and slowly progressive demyelinating neuropathies with two major clinical presentations, including a childhood‐onset variant and an adult‐onset variant which may mimic inflammatory neuropathy. Our study also expands the genotypic spectrum of EGR2 gene mutations.
Bread staling prediction with a multiobjective particle swarm optimization‐based bread constitutive modeling method
Authors: Zhang Yusheng , Yu Hui , Zhang Haiyu , Tang Xiuying 
Published: June 2023

AbstractAiming at the complex and cumbersome problems of current bread staling detection technology, a food constitutive modeling method based on the multiobjective particle swarm optimization (MOPSO) was proposed, which can quickly and efficiently identify the creep test parameters for bread, and predict the viscoelastic parameters of bread staling using the analyzed viscoelastic parameters, resulting in convenient and efficient detection of bread staling. Firstly, airflow‐laser detection technology was used to carry out rapid, efficient, and non‐destructive bread rheological tests to obtain bread creep test data. The MOPSO based on the Pareto set was then used to identify the generalized Kelvin model, and the discrimination accuracy was evaluated by using the inversion results established by the viscoelastic parameters, which resulted in efficient discrimination of creep test data of starch‐based products represented by bread. Finally, using extreme learning machine regression (ELM), a prediction model between the analysis results and the moisture content of bread staling was established, and the prediction effect of the analysis results on bread staling was verified. The experimental results show that, when compared to finite element analysis (FEA) and non‐linear regression (NLR) to identify creep parameters, the MOPSO overcomes the shortcomings of easy falling into the local optimal solution, is easy to implement, has strong global search ability, and is suitable for the analysis of high‐dimensional viscoelastic models of complex foods. The correlation coefficient (R) of the prediction set established by the 12‐membered viscoelastic parameters in the prediction model established by multi‐element viscoelastic parameters and bread moisture content was 0.847, and the root mean square error (RMSE) was 0.021. This demonstrated that, when combined with MOPSO, airflow‐laser detection technology could effectively identify the viscoelastic parameters of bread and establish a method suitable for monitoring bread staling in industrial production. The results of this study provide a reference for the identification of viscoelastic parameters of complex foods and to detect bread staling quickly and efficiently.
How woody plants adjust above‐ and below‐ground traits in response to sustained drought
Authors: Rowland Lucy , Ramírez‐Valiente Jose‐Alberto , Hartley Iain P. , Mencuccini Maurizio 
Published: June 2023

SummaryFuture increases in drought severity and frequency are predicted to have substantial impacts on plant function and survival. However, there is considerable uncertainty concerning what drought adjustment is and whether plants can adjust to sustained drought. This review focuses on woody plants and synthesises the evidence for drought adjustment in a selection of key above‐ground and below‐ground plant traits. We assess whether evaluating the drought adjustment of single traits, or selections of traits that operate on the same plant functional axis (e.g. photosynthetic traits) is sufficient, or whether a multi‐trait approach, integrating across multiple axes, is required. We conclude that studies on drought adjustments in woody plants might overestimate the capacity for adjustment to drier environments if spatial studies along gradients are used, without complementary experimental approaches. We provide evidence that drought adjustment is common in above‐ground and below‐ground traits; however, whether this is adaptive and sufficient to respond to future droughts remains uncertain for most species. To address this uncertainty, we must move towards studying trait integration within and across multiple axes of plant function (e.g. above‐ground and below‐ground) to gain a holistic view of drought adjustments at the whole‐plant scale and how these influence plant survival.
The root of the problem: diverse vulnerability to xylem cavitation found within the root system of wheat plants
Authors: Harrison Day Beatrice L. , Johnson Kate M. , Tonet Vanessa , Bourbia Ibrahim , Blackman Chris , Brodribb Timothy J. 
Published: June 2023

Summary
The propagation of xylem embolism throughout the root systems of drought‐affected plants remains largely unknown, despite this process being comparatively well characterized in aboveground tissues.
We used optical and X‐ray imaging to capture xylem embolism propagation across the intact root systems of bread wheat (Triticum aestivum L. ‘Krichauff’) plants subjected to drying. Patterns in vulnerability to xylem cavitation were examined to investigate whether vulnerability may vary based on root size and placement across the entire root system.
Individual plants exhibited similar mean whole root system vulnerabilities to xylem cavitation but showed enormous 6 MPa variation within their component roots (c. 50 roots per plant). Xylem cavitation typically initiated in the smallest, peripheral parts of the root system and moved inwards and upwards towards the root collar last, although this trend was highly variable.
This pattern of xylem embolism spread likely results in the sacrifice of replaceable small roots while preserving function in larger, more costly central roots. A distinct pattern of embolism‐spread belowground has implications for how we understand the impact of drought in the root system as a critical interface between plant and soil.
Sugar loading of crop seeds – a partnership of phloem, plasmodesmal and membrane transport
Authors: Pegler Joseph L. , Grof Christopher P. , Patrick John W. 
Published: June 2023

SummarySugar loading of developing seeds comprises a cohort of transport events that contribute to reproductive success and seed yield. Understanding these events is most advanced for grain crops (Brassicaceae, Fabaceae and Gramineae) and Arabidopsis. For these species, 75–80% of their final seed biomass is derived from phloem‐imported sucrose. Sugar loading consecutively traverses three genomically distinct, and symplasmically isolated, seed domains: maternal pericarp/seed coat, filial endosperm and filial embryo. Sink status of each domain co‐ordinately transitions from growth to storage. The latter is dominated by embryos (Brassicaceae and Fabaceae) or endosperms (Gramineae). Intradomain sugar transport occurs symplasmically through plasmodesmata. Interdomain sugar transport relies on plasma‐membrane transporters operating in efflux (maternal and endosperm) or influx (endosperm and embryo) modes. Discussed is substantial progress made in identifying, and functionally evaluating, sugar symporters (STPs, SUTs or SUCs) and uniporters (SWEETs). These findings have underpinned a mechanistic understanding of seed loading. Less well researched are possible physical limitations imposed by hydraulic conductivities of differentiating protophloem and of subsequent plasmodesmal transport. The latter is coupled with sugar homeostasis within each domain mediated by sugar transporters. A similar conclusion is ascribed to fragmentary understanding of regulatory mechanisms integrating transport events with seed growth and storage.
Comparison of treatment effects during en‐masse retraction of upper anterior teeth placed using mini‐implants placed at infrazygomatic crest and interradicular sites: A randomized controlled trial
Authors: Sreenivasagan Swapna , Subramanian Aravind Kumar , Chae Jong Moon 
Published: June 2023

AbstractIntroductionThe objective of this prospective study was to examine the efficacy of posterior interradicular and infrazygomatic crest mini‐implants for en‐masse anterior retraction.MethodsThe 22 patients were divided into two groups. In group 1 (IZC n = 11), mini‐implants were placed in the infrazygomatic crests and in group 2 (IR, n = 11), mini‐implants were placed in the molar‐premolar interradicular sites. Soft tissue, skeletal, and dental treatment effects between two groups were compared using lateral cephalometric measurements.ResultsThe average angle between the cranial base and A point was 1.01 degrees (P = .004), and the linear distance between the upper incisor and A point was 2.67 to 5.2 millimetres (P = .00). In IZC group the maxillary incisor to the palatal plane moved upward by a mean of −5.20 mm (P = .059), whereas in IR group the incisor movement changed by −2.67 mm (P = .068). There was no significant difference between groups IZC and IR while comparing overall treatment changes on upper incisor position change, angle, and overjet.ConclusionsMini‐implants placed in between the molar and premolar as well as the infrazygomatic crest can withstand the deepening of the bite during retraction. Mini‐implants in IZC are capable of causing intrusion of the anterior teeth and preventing intrusion of the molars, thereby providing absolute anchoring in all planes. Placement of the mini‐implants in the infrazygomatic crest resulted in more linear retraction.
Did COVID‐19 really change our well‐being? It's up to meaning in life: Evidence from two longitudinal studies
Authors: Ku Xyle , Lee Sung‐Ha , Choi Incheol 
Published: June 2023

AbstractSince the outbreak of COVID‐19, copious studies have explored whether and how COVID‐19 has changed individuals' well‐being. However, research has revealed mixed and inconsistent findings on this topic, with some suggesting that the pandemic hampered well‐being, and others showing non‐significant or even opposite patterns. Yet, little is known about what psychological factors could explain such discrepancies. The present study aims to fill this gap by proposing meaning in life (MIL) as a key moderator of the changes in well‐being following the pandemic. Two studies reported here (total N = 19,828), which took within‐person longitudinal approaches comparing subjective well‐being (SWB; hedonic well‐being) and psychological well‐being (PWB; eudaimonic well‐being) before and during COVID‐19 (Study 1: 2018, 2019 vs. 2020, 2021; Study 2: 2019 vs. 2021), provided empirical evidence supporting our theoretical claims. Specifically, we found significant moderative effects of MIL in both studies, such that individuals who held a higher MIL amidst COVID‐19 experienced an increase in SWB as well as PWB. In stark contrast, the two indicators of well‐being declined over time among those who possessed a lower MIL during the pandemic. Overall, our results suggest that MIL serves as one of the significant moderators of the changes in well‐being following COVID‐19, which may address the previous conflicting findings in this field.
Effect of fibre characteristics on physical, mechanical and microstructural properties of geopolymer concrete: A comparative experimental investigation
Authors: Kantarci Fatih 
Published: June 2023

AbstractThe main aim of this work is to comparatively reveal the effect of fibre type, length and content on compressive strength and microstructure of structural geopolymer concrete (GPC) produced under constant mixture and curing parameters in order to address the significant gap in present literature. Firstly, GPCs with different NaOH concentrations (i.e., 6, 9, 12 and 15 M) and activator solution/binder (a/b) ratios (i.e., 0.45 and 0.55) were produced in ambient curing condition, and optimum production parameters were determined based on the preliminary evaluations. Then, glass and polypropylene fibres in 6‐mm length (GS6 and PP6) and polyamide and polypropylene fibres in 12‐mm length (PY12 and PP12) were included in GPCs at ratio of 0.4%, 0.8% and 1.2% (by volume). Compressive strength, apparent porosity, bulk density, ultrasonic pulse velocity (UPV), X‐ray diffraction (XRD) and scanning electron microscope (SEM) analysis of GPC samples were carried out comparatively. The inclusion of GS6 fibre enhanced the compressive strength thanks to fibre surface being covered by geopolymer gel and the strong adhesion between GS fibre and geopolymer matrix. SEM images of fibre reinforced GPC (FRGPC) also confirmed the experimental findings, which were attributed to improvement in compressive strength. Regardless of the fibre type, the maximum compressive value strength was obtained from GPC specimens with 0.4% fibre and then decreased. Higher fibre inclusions led to poor compaction, workability issues and inhomogeneous fibre dispersions. A very good relation (R2 = 0.98) was acquired between UPV and compressive strength values of GPC/FRGPC samples.
Influence of soil properties and land use on organic carbon storage in agricultural soils near hedges
Authors: Lesaint Lucas , Viaud Valérie , Menasseri‐Aubry Safya 
Published: June 2023

AbstractIn this context of climate change, agroforestry systems are acknowledged to have a good potential to increase carbon storage in agricultural areas. However, the carbon storage potential of agroforestry systems still needs to be quantified accurately, especially for hedges. The objectives of this study were to (1) add references to the existing literature on the potential for soil organic carbon (SOC) storage near hedges and (2) identify the main factors that influence the variability in this potential. To this end, we sampled soil in the adjacent fields of 25 hedges in France with mixed crop‐livestock agriculture, with sampling on both sides for 20 hedges and sampling on only one side for five hedges, giving a total of 45 study sites. We measured SOC stocks to a depth of 90 cm at distances of 1, 2, 3 and 10 m from the hedge. The results showed that hedges have a strong potential to store carbon in soils, with a mean increase of 15% in SOC stock within 3 m of the hedge. This increase in SOC stock had high variability because of site characteristics. Additional SOC stocks were the largest in rotations of annual crops and grasslands with a permanent grass strip 1 m wide near the hedge, followed by rotations of annual crops, permanent grasslands and rotations of annual crops and grasslands. Large additional SOC stocks because of the hedge were also associated with soils that had a high C:N ratio. The contribution of this type of land management to soil carbon storage thus depends on the local context in which it is implemented.
A Critical Review of Construction Using 3D Printing Technology
Authors: Hunbus Ahmed , AlMangour Bandar 
Published: June 2023

AbstractThe limitations of traditional construction methods can be addressed by 3D printing, a technology that prints structural buildings in layers, which reduces labor, construction time, wastage of material, and the overall cost of the structure. This paper presents a literature review of the state-of-the-art of construction using 3D printing technology. We present a definition and a brief history of 3D printing in construction and discuss research contributions. Subsequently, we describe methods of pre-printing design, 3D design programs for construction, and on-site printing methods. Furthermore, the nature of the materials used, the printing properties, and the different construction mixtures are discussed. Additionally, the effects of commonly used chemical admixtures on the properties of the concrete mix are reviewed. Moreover, mixture tests for ensuring the requirements are met and the challenges faced in the standards and regulations during printing are discussed. Subsequently, we consider successful real-world cases from various companies and controlled laboratory environments using 3D printing based on the printing method, materials used, and challenges faced by each company. Lastly, we present future recommendations to improve the capability and printing quality of 3D printing technology.
ITINERARY PREDICTIVE ANALYTICS: AI BASED SOFTWARE AS A MEDICAL DEVICE TO PREDICT PATIENTS’ FIRST VISIT ITINERARY FOR HEALTHCARE ADMINISTRATION
Authors: Damani Shivam , Gopalakrishnan Keerthy , Aedma Keirthana , Muddaloor Pratyusha , Chandrasekhara Vinay , Ryu Alexander J. , Aakre Christopher A. , Arunachalam Shivaram P. 
Published: June 2023

Abstract
Majority of hospitals still utilize manual methods for patient scheduling and predicting future appointments, resulting in longer wait times, hospital burnout and inadequate use of resources. A variety of avenues have been explored, including priority patient routing, tele-health, neural networks for improving ER efficiency, predicting no-shows, consultation duration variations, and optimizing operating room utilization. Addressing this issue, a study was conducted using 700 pre-visit notes of pancreatic patients to determine the requirement of endoscopic or biliary procedure. Through natural language processing and traditional or transfer learning algorithms, data could directly be sent to EPIC for nurses to assess in further decision making. Performance of the models was above average with the transfer learning method outperforming the traditional method. Although limited by less dataset and fewer circumstances to test the models on, the results exposed potential for future development with the possibility of patients reporting their chief concerns, in turn analyzed by algorithms, ultimately creating a smooth and effective patient itinerary.
DESIGN OF A HYBRID-INERTIAL DEVICE FOR THE SEPARATION OF CIRCULATING TUMOR CELLS
Authors: Uddin Mohammed Raihan , Chen Xiaolin 
Published: June 2023

Abstract
Circulating tumor cells (CTCs) are shed from primary tumors, circulate in the bloodstream and are capable of initiating metastasis at distant anatomical sites. The detection and molecular characterization of CTCs are pivotal for early-stage cancer diagnosis and prognosis. Recently, microfluidic technology has achieved significant progress in the separation of cells from complex and heterogeneous mixtures for many biomedical applications. Conventional microfluidic platforms exploit the difference in size between the particles to achieve separation, which makes them ineffective for sorting overlapping-sized CTCs. To address this issue, we propose a method using a spiral channel for label-free, and high throughput separation of CTCs coupling Dielectrophoresis (DEP) with inertial microfluidics. A numerical model has been developed to investigate the separation effectiveness of the device over a range of electrical voltage and flow rates. The presented channel is shown to effectively isolate similar-sized CTCs from the white blood cells (WBCs) in a single-stage separation process. Subsequently, optimum working parameters to enhance separation efficiency have been proposed. The hybrid microfluidic device can provide valuable insight into the development of a robust, inexpensive, and efficient platform for cell separation with reduced analysis time for future cancer research and treatment.
BLOOD PRESSURE PREDICTION FROM PHOTOPLETHYSMOGRAM SIGNAL USING ARTIFICIAL INTELLIGENCE
Authors: Shinde Rutuja M. , Manga Manga , Muthavarapu Neha , Gopalakrishnan Keerthy , Aakre Christopher A. , Ryu Alexander J. , Arunachalam Shivaram P. 
Published: June 2023

Abstract
Blood pressure measurement in current medical practice relies on manual methods with the most widely used modality being sphygmomanometers. Utilizing the principle of Photoplethysmography, it is possible to provide an accurate reading of one’s blood pressure through light signals and photodetector devices. This research paper introduces a new Artificial Intelligence driven approach to predict Blood pressure levels and classify them according to the updated ACC (American College of Cardiology) criteria as Normal, Elevated, Stage I, and II Hypertension from the given PPG signal values using Machine Learning Models. This research paper aims to accurately read the Systolic and Diastolic Blood Pressure using Artificial Intelligence, place them into the correct value bins and further prove that the blood pressure values differ based on different skin tones in different light wavelengths such as red, infrared, and green. Machine Learning models such as the Support Vector Machine have shown an accuracy of 70.58% for Systolic Blood Pressure and Decision Tree with an accuracy of 74.4% for Diastolic Blood Pressure classification. The models used in this research are Support Vector Machine, Decision Tree and K-Nearest Neighbor. This research study has future applications and extensions to predict blood pressure levels for patients with different skin tones under different light radiations and PPG signal readings. Neural Network models will be developed to compare the blood predictions from this work.
CONVECTION ENHANCED THERMO-CHEMOTHERAPY CATHETER SYSTEM: PRE-510(K) CLEARANCE PROTOCOL DEVELOPMENT: FLUID PERFORMANCE TESTING
Authors: Morales Brianna E. , Rylander Chris G. 
Published: June 2023

Abstract
Our lab is developing a novel device, the convection-enhanced thermo-chemotherapy catheter system (CETCS), to improve drug dispersal around a glioblastoma. To help prepare the device for clinical trials, we were advised to first prepare and receive 510(k)-clearance. The 510(k)-clearance process includes proving the novel device is substantially equivalent to a previously cleared predicate device. For the CETCS device, we have identified the Cleveland Multiport Catheter (CMC) as our predicate device. In this work, we test infusion pump flow rate, high-pressure flow rate, and microneedle tip deflection; each with respect to infusion and aspiration. The CMC’s 510(k) summary sheet provided guidelines for the test protocols to follow. If the CMC’s 510(k) summary did not state a metric, we set the metric based on the CETCS device specifications. Replicating or exceeding the threshold passing criteria set by the CMC device or the CETCS specifications demonstrates that CETCS is substantially equivalent to the predicate device for those specific metrics.