bluuebunny/crossref_metadata_2025_split huggingface dataset:
The floral development of the allotetraploid Coffea arabica L. correlates with a small RNA dynamic reprogramming
Authors: Cherubino Ribeiro Thales Henrique , Baldrich Patricia , de Oliveira Raphael Ricon , Fernandes‐Brum Christiane Noronha , Mathioni Sandra Marisa , de Sousa Cardoso Thaís Cunha , de Souza Gomes Matheus , do Amaral Laurence Rodrigues , Pimenta de Oliveira Kellen Kauanne , dos Reis Gabriel Lasmar , Meyers Blake C. , Chalfun‐Junior Antonio 
Published: March 2024

SUMMARYNoncoding and coding RNAs are key regulators of plant growth, development, and stress responses. To investigate the types of transcripts accumulated during the vegetative to reproductive transition and floral development in the Coffea arabica L., we sequenced small RNA libraries from eight developmental stages, up to anthesis. We combined these data with messenger RNA and PARE sequencing of two important development stages that marks the transition of an apparent latent to a rapid growth stage. In addition, we took advantage of multiple in silico tools to characterize genomic loci producing small RNAs such as phasiRNAs, miRNAs, and tRFs. Our differential and co‐expression analysis showed that some types of small RNAs such as tRNAs, snoRNAs, snRNAs, and phasiRNAs preferentially accumulate in a stage‐specific manner. Members of the miR482/miR2118 superfamily and their 21‐nucleotide phasiRNAs originating from resistance genes show a robust co‐expression pattern that is maintained across all the evaluated developmental stages. Finally, the majority of miRNAs accumulate in a family stage‐specific manner, related to modulated hormonal responses and transcription factor expression.
A case of transfusion‐transmission Anaplasma phagocytophilum from leukoreduced red blood cells
Authors: Tonnetti Laura , Marcos Luis A. , Mamone Linda , Spitzer Eric D. , Jacob Matthew , Townsend Rebecca L. , Stramer Susan L. , West Fay B. 
Published: March 2024

AbstractBackgroundAnaplasma phagocytophilum is a tick‐borne bacterium and the cause of human granulocytic anaplasmosis (HGA). Here, we report a case of transfusion‐transmitted (TT)‐HGA involving a leukoreduced (LR) red blood cell (RBC) unit.Case ReportA 64‐year‐old woman with gastric adenocarcinoma and multiple myeloma who received weekly blood transfusions developed persistent fevers, hypotension, and shortness of breath 1 week after receiving an RBC transfusion. Persistent fevers, new thrombocytopenia, and transaminitis suggested a tick‐borne infection.ResultsThe absence of blood parasites on thick and thin blood smears suggested that malaria and Babesia infection were not present, and the recipient tested negative for antibodies to Borrelia burgdorferi. Blood testing by polymerase chain reaction (PCR) for Ehrlichia and Anaplasma species identified A. phagocytophilum. Treatment with doxycycline resolved the infection; however, the recipient expired due to complications of her known malignancies. The recipient lived in a nursing home and did not have pets or spend time outdoors. The donor was a female in her 70s from Maine who was diagnosed with HGA 3 weeks after donating blood and whose LR‐RBCs from the donation were transfused to the recipient 9 days following collection.ConclusionThis is a confirmed case of TT‐HGA. Although rare, TT‐HGA has been reported with LR‐RBCs and platelets. In endemic areas, testing for tick‐borne associated infections should be considered when investigating post‐transfusion complications.
Ethical considerations in the use of RhD‐positive blood products in trauma
Authors: Malone Jay R. 
Published: March 2024

AbstractBackgroundPrehospital and early in‐hospital use of low titer group O whole blood (LTOWB) for life‐threatening bleeding has been independently associated with improved survival compared to component therapy. However, when RhD‐positive blood products are administered to RhD‐negative females of childbearing potential (FCP), there is a small future risk of hemolytic disease of the fetus and newborn (HDFN). This raises important ethical questions that must be explored in order to justify the use of RhD‐positive blood products, including LTOWB, both in clinical practice and research.MethodsThis essay explores the ethical challenges related to RhD‐positive blood product administration to RhD‐negative or RhD‐unknown FCPs as a first‐line resuscitation fluid in the trauma setting. These ethical issues include: issues related to decision‐making, ethical analysis based on the doctrine of double effect (DDE), and attendant obligations incurred by hospitals that administer RhD‐positive blood to FCPs.ResultsEthical analysis through the use of the DDE demonstrates that utilization of RhD‐positive blood products, including LTOWB, in the early resuscitation of FCPs is an ethically appropriate approach. By accepting the risk of HDFN, hospitals generate obligations to promote blood donation, evaluate for alloimmunization and counsel patients on the future risk of HDFN, and maintain an understanding of the ethical rationale for RhD‐positive blood transfusion.
Describing nurses' communication about evidence‐based practice change: A social network analysis of hospital nurses
Authors: Arsenault Knudsen Élise N. , Mundt Marlon P. , Steege Linsey M. 
Published: March 2024

AbstractBackgroundNurses play a critical role in providing evidence‐based, high‐quality care to optimize patient outcomes. Models from implementation science suggest social networks may influence the adoption of evidence‐based practices (EBPs). However, few studies have examined this relationship among hospital nurses. Social network analysis (SNA) mathematically evaluates patterns of communication, a critical step in implementation. Exploring hospital nurses' communication networks may provide insight into influences on the adoption of EBPs.AimsThis study aimed to describe complete communication networks of hospital nurses for practice changes on inpatient units, including upper level nursing administrators.MethodsThis descriptive, exploratory, cross‐sectional study used SNA on two inpatient units from one hospital. A sociometric survey was completed by nurses (unit to executive level) regarding communication frequency about practice changes. Network‐level density, diameter, average path length, centralization, and arc reciprocity were measured. Attribute data were used to explore subnetworks.ResultsSurveys from 148 nurses on two inpatient adult intensive care units (response rates 90% and 98%) revealed high communication frequency. Network measures were similar across the two units and among subnetworks. Analysis identified central (charge nurses and nurse leaders) and peripheral members of the network (new‐to‐practice nurses). Subnetworks aligned with the weekend and shift worked.Linking Evidence to ActionEstablished communication channels, including subnetworks and opinion leaders, should be used to maximize and optimize implementation strategies and facilitate the uptake of EBPs. Future work should employ SNA to measure the impact of communication networks on promoting the uptake of EBP and to improve patient outcomes.
The use of mHealth apps to improve hospital nurses' mental health and well‐being: A systematic review
Authors: Moore Cynthia , Kelly Stephanie , Melnyk Bernadette Mazurek 
Published: March 2024

AbstractBackgroundNursing well‐being has become a heightened focus since the COVID‐19 pandemic. Nurses are leaving the profession early in their careers or retiring sooner than expected. Those who remain in the workforce report higher levels of burnout, anxiety, depression, and exhaustion. There is concern that there may be a shortage of at least half a million nurses by 2030.AimsThis systematic review aimed to investigate the evidence of using a mental health promotion mHealth app to improve the mental health of hospital nurses.MethodsA systematic search was conducted in CINAHL Plus with Full Text, MEDLINE with Full Text, Professional Development Collection, Psychology and Behavioral Sciences Collection, Sociological Collection, PsycInfo, Embase, and PubMed with search dates of January 2012–November 15, 2022. The mHealth intervention needed to be asynchronously delivered through a smartphone with hospital nurse participants to be included in this review.ResultsOf the 157 articles screened for this review, six were included. Primary outcome variables were anxiety, burnout, coping, depression, self‐efficacy, stress, well‐being, and work engagement. Intervention types included mindfulness‐based interventions (MBIs), cognitive behavioral therapy (CBT), stress inoculation therapy (SIT), psychoeducation, and stress management. Anxiety, depression, well‐being, and burnout improved with MBIs; depression improved with CBT; and anxiety and active coping improved with SIT.Linking evidence to actionThis review demonstrated promising findings in using mHealth apps to improve the mental health of hospital nurses. However, more randomized controlled trials with larger sample sizes may reveal which type of mHealth app and how much exposure to the intervention is more effective in improving specific mental health symptoms. Longitudinal follow‐up is also recommended to study sustainability of the mental health improvements.
Rigidity and vanishing theorems for submanifolds with free boundary in the unit ball
Authors: Zhao Entao , Cao Shunjuan 
Published: March 2024

AbstractIn this paper, we investigate the rigidity and vanishing properties of compact submanifolds with free boundary of arbitrary codimension in the unit ball. We first show that a minimal submanifold with free boundary in the unit ball satisfying a pointwise or integral curvature pinching condition on the second fundamental form is a flat equatorial disk. Then we prove a vanishing theorem for cohomology groups for submanifolds with free boundary in the unit ball under an integral curvature pinching condition on the trace‐free second fundamental form.
Bilinear sums with GL(2)$GL(2)$ coefficients and the exponent of distribution of d3$d_3$
Authors: Sharma Prahlad 
Published: March 2024

AbstractWe obtain the exponent of distribution for the ternary divisor function to square‐free and prime power moduli, improving the previous results of Fouvry–Kowalski–Michel, Heath‐Brown and Friedlander–Iwaniec. The key input is certain estimates on bilinear sums with coefficients obtained using the delta symbol approach.
Adaptive gait responses to varying weight‐bearing conditions: Inferences from gait dynamics and H‐reflex magnitude
Authors: Kim Yong Kuk , Gwerder Michelle , Taylor William R. , Baur Heiner , Singh Navrag B. 
Published: March 2024

AbstractThis study investigates the effects of varying loading conditions on excitability in neural pathways and gait dynamics. We focussed on evaluating the magnitude of the Hoffman reflex (H‐reflex), a neurophysiological measure representing the capability to activate motor neurons and the timing and placement of the foot during walking. We hypothesized that weight manipulation would alter H‐reflex magnitude, footfall and lower body kinematics. Twenty healthy participants were recruited and subjected to various weight‐loading conditions. The H‐reflex, evoked by stimulating the tibial nerve, was assessed from the dominant leg during walking. Gait was evaluated under five conditions: body weight, 20% and 40% additional body weight, and 20% and 40% reduced body weight (via a harness). Participants walked barefoot on a treadmill under each condition, and the timing of electrical stimulation was set during the stance phase shortly after the heel strike. Results show that different weight‐loading conditions significantly impact the timing and placement of the foot and gait stability. Weight reduction led to a 25% decrease in double limb support time and an 11% narrowing of step width, while weight addition resulted in an increase of 9% in step width compared to body weight condition. Furthermore, swing time variability was higher for both the extreme weight conditions, while the H‐reflex reduced to about 45% between the extreme conditions. Finally, the H‐reflex showed significant main effects on variability of both stance and swing phases, indicating that muscle‐motor excitability might serve as feedback for enhanced regulation of gait dynamics under challenging conditions.
Cyclic nucleotide‐induced bidirectional long‐term synaptic plasticity in Drosophila mushroom body
Authors: Yamada Daichi , Davidson Andrew M. , Hige Toshihide 
Published: March 2024

AbstractActivation of the cAMP pathway is one of the common mechanisms underlying long‐term potentiation (LTP). In the Drosophila mushroom body, simultaneous activation of odour‐coding Kenyon cells (KCs) and reinforcement‐coding dopaminergic neurons activates adenylyl cyclase in KC presynaptic terminals, which is believed to trigger synaptic plasticity underlying olfactory associative learning. However, learning induces long‐term depression (LTD) at these synapses, contradicting the universal role of cAMP as a facilitator of transmission. Here, we developed a system to electrophysiologically monitor both short‐term and long‐term synaptic plasticity at KC output synapses and demonstrated that they are indeed an exception in which activation of the cAMP–protein kinase A pathway induces LTD. Contrary to the prevailing model, our cAMP imaging found no evidence for synergistic action of dopamine and KC activity on cAMP synthesis. Furthermore, we found that forskolin‐induced cAMP increase alone was insufficient for plasticity induction; it additionally required simultaneous KC activation to replicate the presynaptic LTD induced by pairing with dopamine. On the other hand, activation of the cGMP pathway paired with KC activation induced slowly developing LTP, proving antagonistic actions of the two second‐messenger pathways predicted by behavioural study. Finally, KC subtype‐specific interrogation of synapses revealed that different KC subtypes exhibit distinct plasticity duration even among synapses on the same postsynaptic neuron. Thus, our work not only revises the role of cAMP in synaptic plasticity by uncovering the unexpected convergence point of the cAMP pathway and neuronal activity, but also establishes the methods to address physiological mechanisms of synaptic plasticity in this important model.
imageKey points
Although presynaptic cAMP increase generally facilitates synapses, olfactory associative learning in Drosophila, which depends on dopamine and cAMP signalling genes, induces long‐term depression (LTD) at the mushroom body output synapses.
By combining electrophysiology, pharmacology and optogenetics, we directly demonstrate that these synapses are an exception where activation of the cAMP–protein kinase A pathway leads to presynaptic LTD.
Dopamine‐ or forskolin‐induced cAMP increase alone is not sufficient for LTD induction; neuronal activity, which has been believed to trigger cAMP synthesis in synergy with dopamine input, is required in the downstream pathway of cAMP.
In contrast to cAMP, activation of the cGMP pathway paired with neuronal activity induces presynaptic long‐term potentiation, which explains behaviourally observed opposing actions of transmitters co‐released by dopaminergic neurons.
Our work not only revises the role of cAMP in synaptic plasticity, but also provides essential methods to address physiological mechanisms of synaptic plasticity in this important model system.
Effect of Dispensing Type on Void Formation Using Convolutional Neural Network
Authors: Azahari Muhammad Taufik , Ling Calvin , Abas Aizat , Ng Fei Chong 
Published: March 2024

Abstract
Underfilling in flip chip packages is a critical component of reliability. This study utilized I-type, L-type, and U-type dispensing methods to address the issue, namely, voiding that creates empty spaces, which compromises reliability. An automated solution using convolutional neural network (CNN) is proposed for void detection in chip images to replace the conventional manual inspection approach. The CNN model built on MobileNetV2 attains a mean average precision of 0.533. This method calculates void percentage, adhering to Institute for Interconnecting and Packaging Electronic Circuits (IPC) standards, to determine product acceptance or rejection, offering an efficient solution for quality control in flip-chip package manufacturing.
A Kriging Surrogate Model for Ball Grid Array Electronic Packaging With Stochastic Material and Geometrical Parameters
Authors: Chu Liu , Shi Jiajia , de Cursi Eduardo Souza 
Published: March 2024

Abstract
Ball grid arrays (BGAs) offer significant advantages in the automotive industry, such as their small size and high integration density, making them a promising electronic packaging approach. However, the operating environment of automobiles is more complex compared to other applications, primarily due to vibrations generated by power engines and oscillations caused by pavement roughness. The resonant frequencies of electronic packaging structures play a crucial role in system reliability and safety. However, accurately describing the implicit relationship between system resonant frequencies and material and geometrical parameters can be challenging. A Kriging surrogate model (KSM) is proposed by the combination of the Latin Hypercube stochastic sampling with finite element computation. Four different BGA configurations are established with either the initial values in the deterministic model or the specified sampling interval ranges in the stochastic model. The results of the finite element model (FEM) for BGA electronic packaging are validated and demonstrate qualitative agreement with published literature. The impacts of material and geometrical parameters on the resonant frequencies are investigated and compared. The mean, maximum, minimum, and variance are recorded based on a large database of stochastic samples. The feasibility of KSM for the resonant frequency prediction of BGA is confirmed by its satisfactory accuracy and computational efficiency.
Experimental and Numerical Study of Hydraulic Characteristics and Pressurization Deterioration Mechanism of a Three-Stage Mixed-Flow Electrical Submersible Pump Under Gas-Liquid Condition
Authors: Dai Xiaoyu , Xu Qiang , Yang Chenyu , Su Xiaobin , Chang Liang , Guo Liejin 
Published: March 2024

Abstract
Electrical submersible pump (ESP) is extensively utilized in industrial sectors such as petroleum, chemical, and nuclear energy. However, ESPs experience pressurization deterioration due to the high gas volume fraction (GVF), resulting in the pressurization failure. In this paper, a three-stage mixed-flow ESP with closed impeller structure is detailed analysis. The interstage hydraulic characteristics and pressurization deterioration mechanism of the mixed-flow ESP are investigated at various rotational speeds and inlet conditions by combining experimental and simulation. The population balance model (PBM) and renormalization group (RNG) k − ε model are employed. As the liquid flowrate increases, the ESP experiences a “three-stage” downward trend in pressurization. It is discovered that the first booster stage has a lower inflow velocity and flow separation degree compared to the subsequent booster stages, resulting in a greater liquid-phase pressurization capacity. The gas–liquid pressurization exhibits a wave-shaped downward trend due to significant deterioration in stage-wise pressurization when the liquid flowrate is low. Once the inlet gas volume fraction (IGVF) reaches the first critical GVF, the gas aggregates on the impeller's suction surface are removed at the impeller outlet, creating an annular air mass, which creates a chaotic vortex absorbing the fluids' kinetic energy.
Parametric Solid Models of the At-Term Uterus From Magnetic Resonance Images
Authors: Louwagie Erin M. , Rajasekharan Divya , Feder Arielle , Fang Shuyang , Nhan-Chang Chia-Ling , Mourad Mirella , Myers Kristin M. 
Published: March 2024

Abstract
Birthing mechanics are poorly understood, though many injuries during childbirth are mechanical, like fetal and maternal tissue damage. Several biomechanical simulation models of parturition have been proposed to investigate birth, but many do not include the uterus. Additionally, most solid models rely on segmenting anatomical structures from clinical images to generate patient geometry, which can be time-consuming. This work presents two new parametric solid modeling methods for generating patient-specific, at-term uterine three-dimensional geometry. Building from an established method of modeling the sagittal uterine shape, this work improves the uterine coronal shape, especially where the fetal head joins the lower uterine wall. Solid models of the uterus and cervix were built from five at-term patients' magnetic resonance imaging (MRI) sets. Using anatomy measurements from MRI-segmented models, two parametric models were created—one that employs an averaged coronal uterine shape and one with multiple axial measurements of the coronal uterus. Through finite element analysis, the two new parametric methods were compared to the MRI-segmented high-fidelity method and a previously published elliptical low-fidelity method. A clear improvement in the at-term uterine shape was found using the two new parametric methods, and agreement in principal Lagrange strain directions was observed across all modeling methods. These methods provide an effective and efficient way to generate three-dimensional solid models of patient-specific maternal uterine anatomy, advancing possibilities for future research in computational birthing biomechanics.
Accurate Temperature Reconstruction in Radiofrequency Ablation for Atherosclerotic Plaques Based on Inverse Heat Transfer Analysis
Authors: Shu Shuang , Yang Guoliang , Han Hengxin , Zhan Taijie , Dang Hangyu , Xu Yi 
Published: March 2024

Abstract
Radio frequency ablation has emerged as a widely accepted treatment for atherosclerotic plaques. However, monitoring the temperature field distribution in the blood vessel wall during this procedure presents challenges. This limitation increases the risk of endothelial cell damage and inflammatory responses, potentially leading to lumen restenosis. The aim of this study is to accurately reconstruct the transient temperature distribution by solving a stochastic heat transfer model with uncertain parameters using an inverse heat transfer algorithm and temperature measurement data. The nonlinear least squares optimization method, Levenberg-Marquardt (LM), was employed to solve the inverse heat transfer problem for parameter estimation. Then, to improve the convergence of the algorithm and reduce the computational resources, a method of parameter sensitivity analysis was proposed to select parameters mainly affecting the temperature field. Furthermore, the robustness and accuracy of the algorithm were verified by introducing random noise to the temperature measurements. Despite the high level of temperature measurement noise (ξ = 5%) and larger initial guess deviation, the parameter estimation results remained closely aligned with the actual values, with an overall ERMS consistently below 0.05. The absolute errors between the reconstruction temperature at the measurement points TC1, TC2, and TC3, and the actual temperature, remained within 0.33 °C, 2.4 °C, and 1.17 °C, respectively. The Levenberg-Marquardt algorithm employed in this study proficiently tackled the ill-posed issue of inversion process and obtained a strong consistency between the reconstructed temperature the actual temperature.