bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hyperacusis questionnaire and event-related potential correlation in migraine patients
Authors: Qi Liu , Jilei Zhang , Lisheng Yu , Yuanyuan Jing 
Published: June 2024

AbstractThis study aims to investigate auditory hypersensitivity and cortical function in migraine patients using the Hyperacusis Questionnaire and the Event-Related Potential (ERP) technique. The study analyzes alterations in the latency and amplitude of the event-related potentials MMN and P300 components. The findings contribute to a better understanding of the physiological relationship between migraine and auditory hypersensitivity. Seventeen migraine patients were admitted to the outpatient clinic of the Department of Otorhinolaryngology-Head and Neck Surgery at Peking University People’s Hospital from June 2023 to September 2023. Nineteen matched healthy subjects were also selected. All participants underwent the pure tone audiometry and the auditory brainstem response test to determine hearing thresholds, the Hyperacusis Questionnaire, the Tinnitus Handicap Inventory, and an ERP examination. The Oddball classical paradigm was used as the stimulation task, and electroencephalography signals were recorded synchronously. The scores of the Hyperacusis Questionnaire, latency and amplitude of MMN and P300 component were compared between the migraine group and the control group, and their correlation was analyzed. The latency of MMN at the Fz and Cz sites in migraine patients was significantly shorter than that in the control group (P < 0.05), and the amplitudes were significantly higher than those in the control group (P < 0.05). The variances in latency and amplitude of P300 at Cz and Pz sites in migraine patients were not statistically significant when compared with the control group. (P > 0.05). The Hyperacusis Questionnaire was negatively correlated with MMN latency, with a correlation coefficient of − 0.374 (P = 0.025), and positively correlated with MMN amplitude, with a correlation coefficient of 0.378 (P = 0.023). There was no significant similarity between the Hyperacusis Questionnaire and P300 latency and amplitude (P > 0.05). Overall, auditory hypersensitivity was enhanced in individuals with migraines compared to healthy individuals, leading to faster information processing, while there may be less impairment in cognitive function.
Cloning and functional characterization of the legumin A gene (EuLEGA) from Eucommia ulmoides Oliver
Authors: Zheng Lina , Zhao De-Gang 
Published: June 2024

AbstractLegumin A is a seed storage protein that provides nutrients for seed germination. The purpose of this study was to describe the structure and expression pattern of the EuLEGA gene in Eucommia ulmoides Oliver (E. ulmoides) and to infer its functional role. The 1287 bp coding sequence of the EuLEGA CDS of the EuLEGA gene, encoding a protein containing 428 amino acid residues, was cloned. The structure predicted that the protein belonged to the RmlC (deoxythymidine diphosphates, dTDP)-4-dehydrorhamnose 3,5-epimerase)-like cupin conserved domain family, which contains both RmlC, a key enzyme for the synthesis of rhamnose and legumin A. The overexpression (OE) vector of the EuLEGA gene was constructed and genetically transformed into tobacco and E. ulmoides; the RNA interference (RNAi) vector of the EuLEGA gene was constructed and genetically transformed into E. ulmoides; and the contents of legumin A and rhamnose were detected. The results showed that the EuLEGA gene could significantly increase the content of legumin A in transgenic tobacco leaves and transgenic E. ulmoides regenerative buds, and the OE of this gene in E. ulmoides could promote an increase in rhamnose content. RNAi caused a significant decrease in the legumin A content in the regenerated buds of E. ulmoides. These was a significant increase in legumin A in the transgenic tobacco seeds, and these results indicate that the expression of the EuLEGA gene is closely related to the accumulation of legumin A. Subcellular localization studies revealed that EuLEGA is localized to the cytoplasm with the vacuolar membrane. Analysis of the EuLEGA gene expression data revealed that the expression level of the EuLEGA gene in the samaras was significantly greater than that in the leaves and stems. In addition, the study also demonstrated that GA3 can upregulate the expression levels of the EuLEGA gene, while ABA and MeJA can downregulate its expression levels.
Subtype-specific alternative splicing events in breast cancer identified by large-scale data analysis
Authors: Deguchi Yui , Kikutake Chie , Suyama Mikita 
Published: June 2024

AbstractGenome analysis in cancer has focused mainly on elucidating the function and regulatory mechanisms of genes that exhibit differential expression or mutation in cancer samples compared to normal samples. Recently, transcriptome analysis revealed that abnormal splicing events in cancer samples could contribute to cancer pathogenesis. Moreover, splicing variants in cancer reportedly generate diverse cancer antigens. Although abnormal splicing events are expected to be potential targets in cancer immunotherapy, the exploration of such targets and their biological significance in cancer have not been fully understood. In this study, to explore subtype-specific alternative splicing events, we conducted a comprehensive analysis of splicing events for each breast cancer subtype using large-scale splicing data derived from The Cancer Genome Atlas and found subtype-specific alternative splicing patterns. Analyses indicated that genes that produce subtype-specific alternative splicing events are potential novel targets for immunotherapy against breast cancer. The subtype-specific alternative splicing events identified in this study, which were not identified by mutation or differential expression analysis, bring new significance to previously overlooked splicing events.
Conversion of superior bread wheat genotype HD3209 carrying Lr19/Sr25 into CMS line for development of rust-resistant wheat hybrids
Authors: Malik Abhimanyu Singh , Sharma Nand Kishore , Chandra Ajay Kumar , Kumar Parvesh , Tyagi Sandhya , Raghunandan K. , Murukan Niranjana , Mallick Niharika , Jha Shailendra Kumar , Vinod  
Published: June 2024

AbstractHybrid development is one of the most promising strategies for boosting crop yields. Parental lines used to create hybrids must have good per se performance and disease resistance for developing superior hybrids. Indian wheat line HD3209 was developed by introducing the rust resistance genes Lr19/Sr25 into the background of popular wheat variety HD2932. The wheat line HD3209 carrying Lr19/Sr25 has been successfully and rapidly converted to the CMS line A-HD3209, with 96.01% background genome recovery, based on selection for agro-morphological traits, rust resistance, pollen sterility, and foreground and background analyses utilizing SSR markers. The converted CMS line A-HD3209 was completely sterile and nearly identical to the recurrent parent HD3209. Based on high per se performance and rust resistance, the study concludes that the derived CMS line A-HD3209 is promising and can be employed successfully in hybrid development.
Stereoselective polar radical crossover for the functionalization of strained-ring systems
Authors: Trauner Florian , Ghazali Rahma , Rettig Jan , Thiele Christina M. , Didier Dorian 
Published: June 2024

AbstractRadical-polar crossover of organoborates is a poweful tool that enables the creation of two C-C bonds simultaneously. Small ring systems have become essential motifs in drug discovery and medicinal chemistry. However, step-economic methods for their selective functionalization remains scarce. Here we present a one-pot strategy that merges a simple preparation of strained organoboron species with the recently popularized polar radical crossover of borate derivatives to stereoselectively access tri-substituted azetidines, cyclobutanes and five-membered carbo- and heterocycles.
Payment for Ecosystem Services: institutional arrangements for a changing climate in the Chilean Mediterranean Region
Authors: Ocampo-Melgar Anahí , Barría Pilar , Cerda Claudia , Venegas-González Alejandro , Fernández Javiera , Díaz-Vasconcellos Raúl , Zamora Javier 
Published: June 2024

AbstractPayment for Ecosystem Services (PES) can promote different types of governance arrangements to address the triple challenge of biodiversity loss, climate change and air pollution. These institutional arrangements, however, do not explicitly incorporate climate change into the ecosystem’s capacity to provide services. In this study, we explore why and how to incorporate climate uncertainties using as example the Altos de Cantillana Nature Reserve, a unique biodiversity hotspot in Central Chile. First, prioritized ecosystem services (ES) were grouped in bundles and linked to measured and modeled impacts of climate change on key water-related processes. Second, institutional barriers to PES were identified from case studies and analyzed considering challenges in a changing climate. Finally, bundles with different levels of risk were matched to six recommendations that better incorporate levels of risks to the uncertainty of climate change into Payment for Ecosystem Services in Chile.
The Effectiveness of Individualized Morphosyntactic Target Identification and Explicit Intervention Using the SHAPE CODING System for Children With Developmental Language Disorder and the Impact of Within-Session Dosage
Authors: Ebbels Susan H. , Gadd Mollie , Nicoll Hilary , Hughes Lucy , Dawson Nicola , Burke Caroline , Calder Samuel D. , Frizelle Pauline 
Published: June 2024

Purpose:
We investigated the effectiveness of a highly individualized morphosyntactic intervention using the SHAPE CODING™ system delivered at different dosages.

Method:
Eight children with developmental language disorder aged 8;0–10;10 (years;months) received 10 hr of explicit individualized intervention for morphosyntax delivered in 30-min individual sessions once per week for 20 weeks. Following at least four baseline probe tests, two grammatical targets per session received explicit instruction until they reached criterion (90%), when the next target was introduced. To control for session length and teaching episode density, either both targets received 20 teaching episodes per session or one target received 10 teaching episodes and the other 30. Maintenance testing of completed targets was also carried out.

Results:

Scores on probe tests post-intervention were significantly higher than during the baseline phase (
d
= 1.6) with no change during the baseline or maintenance phases. However, progress during the intervention phase was highly significant. One participant showed significantly faster progress with intervention, while one (with the lowest attention score) made little progress. When considering progress relative to cumulative intervention sessions, progress was faster with 30 teaching episodes per session and slower with 10. However, when cumulative teaching episodes were used as the predictor, all three within-session dosages showed very similar rates of progress, with the odds of a correct response increasing by 3.9% for each teaching episode. The targets that were achieved required an average of 40–60 teaching episodes.

Conclusions:
With the exception of one participant, the individualized intervention was highly effective and efficient. Thus, the individualized target identification process and intervention method merit further research in a larger group of children. The cumulative number of teaching episodes per target provided across sessions appeared to be key. Thus, clinicians should aim for high teaching episode rates, particularly if the number of sessions is constrained. Otherwise, intervention scheduling can be flexible.

Supplemental Material:

https://doi.org/10.23641/asha.25996168
Emotion classification with multi‐modal physiological signals using multi‐attention‐based neural network
Authors: Zou Chengsheng , Deng Zhen , He Bingwei , Yan Maosong , Wu Jie , Zhu Zhaoju 
Published: June 2024

AbstractThe ability to effectively classify human emotion states is critically important for human‐computer or human‐robot interactions. However, emotion classification with physiological signals is still a challenging problem due to the diversity of emotion expression and the characteristic differences in different modal signals. A novel learning‐based network architecture is presented that can exploit four‐modal physiological signals, electrocardiogram, electrodermal activity, electromyography, and blood volume pulse, and make a classification of emotion states. It features two kinds of attention modules, feature‐level, and semantic‐level, which drive the network to focus on the information‐rich features by mimicking the human attention mechanism. The feature‐level attention module encodes the rich information of each physiological signal. While the semantic‐level attention module captures the semantic dependencies among modals. The performance of the designed network is evaluated with the open‐source Wearable Stress and Affect Detection dataset. The developed emotion classification system achieves an accuracy of 83.88%. Results demonstrated that the proposed network could effectively process four‐modal physiological signals and achieve high accuracy of emotion classification.
An integrated planning framework for optimal power generation portfolio including frequency and reserve requirements
Authors: Ayo Olayinka , Falugi Paola , Strbac Goran 
Published: June 2024

AbstractElectricity system decarbonisation poses several challenges to network stability and supply security, given renewables' intermittency and possible reduction of system inertia. This manuscript presents a novel integrated system framework to determine optimal generation investments for addressing decarbonisation challenges and achieving cost‐effective electricity systems while ensuring frequency stability and reserve requirements are met at the operational level in a net‐zero system. The novel planning framework is a mixed‐integer bilinear programming problem accurately modelling clustered variables for the on/off status of generation units and seconds‐timescale frequency requirements at an operational and planning level. The benefits of the decision framework and effects of dispatch decisions in a year are illustrated using the Great Britain case study. The results provide optimal trade‐offs and cost‐effective investment portfolios for including detailed modelling of unit‐commitment and frequency stability constraints versus not including them in the planning model. Making investment decisions for a net‐zero electricity system without these constraints can lead to very high system costs due to significant demand curtailment. Although the model's computation burden was increased by these constraints, complexity was managed by formulating them tightly and compactly. Non‐convex quadratic nadir constraints were efficiently solvable to global optimality by applying McCormick relaxations and branching techniques in an advanced solver.
Cantonese sentence dataset for lip‐reading
Authors: Xiao Yewei , Liu Xuanming , Teng Lianwei , Zhu Aosu , Tian Picheng , Huang Jian 
Published: June 2024

AbstractLip‐reading deciphers speech by observing lip movements without relying on audio data. The rapid advancements in deep learning have significantly improved lip‐reading for both English and Chinese; however, research on dialects such as Cantonese remains scarce. Consequently, most Chinese lip‐reading datasets focus on Mandarin, with only a few addressing Cantonese. To bridge this gap, a sentence‐level Cantonese lip‐reading dataset, designated as Cantonese lip‐reading sentences are introduced, comprising over 500 unique speakers and more than 30,000 samples. To ensure alignment with real‐world scenarios, no restrictions are imposed on factors such as gender, age, posture, lighting conditions, or speech rate. A comprehensive description of the pipeline employed is provided for collecting and constructing the dataset and introduce an innovative visual frontend, 3D‐visual attention net. This frontend combines the advantages of convolution and self‐attention mechanisms to extract fine‐grained lip region features. These features are subsequently input into the conformer backend for temporal sequence modelling, achieving comparable performance on Chinese Mandarin lip reading dataset, lip reading sentences 2, lip reading sentences 3, and Cantonese lip‐reading sentences datasets. Benchmark tests on Cantonese lip‐reading sentences demonstrate the challenges it poses, providing a novel research foundation for dialect lip‐reading and fostering the advancement of Cantonese lip‐reading tasks.
High‐performance photonic crystal fibre biosensor for identifying Jurkat cells by refractive index analysis
Authors: Bani Most. Momtahina , Noor Khalid Sifulla , Ferdous A. H. M. Iftekharul , Anower Md. Shamim 
Published: June 2024

AbstractJurkat cells are immortalised lines of human T lymphocyte cells widely used in research to study leukaemia, signalling of T cells, and immune responses. These cells can be used as models to define the mechanisms of leukaemia and to develop mechanism‐based therapies. Jurkat cells can be detected with remarkable accuracy using the recently created Photonic Crystal Fibre (PCF). The suggested design has a hybrid arrangement on its clad surface and a rectangular core. The recently released PCF analyser displays a maximum Relative Sensitivity are 95.81% for Jurkat (type I) and 94.93% for Jurkat (type II), respectively. The Effective Material Loss of 0.0070 cm−1, 0.0080 cm−1, and the Confinement Loss of 9.11 × 10−9 dB/m, 9.15 × 10−8 dB/m were also examined for the previously described units. Jurkat cells represent a model of leukaemia that is very malignant and proliferative, representative of aggressive T‐cell acute lymphoblastic leukaemia with the ability to progress rapidly and hence poor prognosis for patients. The benefit of applying a suggested PCF sensor to Jurkat cell detection lies in the high sensitivity to refractive index changes, allowing label‐free and real‐time monitoring of cell interaction. This PCF sensor can offer high light‐matter interaction, custom geometry, and biocompatibility for specific and reliable detection of deadly Jurkat cells in biomedical research and clinical diagnostics.
A capacitance reduction modulation approach of hybrid modular multilevel converter with boosted modulation index and circulating current injection
Authors: Li Hongxu , Wang Qin , Wu Qunfang , Xiao Lan , Li Jinbo , Chen Qi 
Published: June 2024

AbstractIn a modular multilevel converter (MMC) system, the sub‐module capacitors account for a large proportion of the cost, volume, and weight. This paper proposed a method to reduce the total capacitance of MMC based on the combination of boosting the modulation index (m) and second‐harmonic circulating current injection (SCCI). A small amount of full‐bridge sub‐modules was added to conventional half‐bridge sub‐modules (HBSM) based MMC to form the hybrid MMC. The third‐harmonic voltage injection technology was used to increase the m of hybrid MMC without the common‐mode voltage injected on the ac‐side. An optimized SCCI method determined by m was introduced, which limited the root mean square (RMS) of arm current. An improved modulation approach is used to eliminate the coupling effect of third‐harmonic voltage injection and SCCI in boosting m, ensuring that the m increases to 1.15 with the optimized SCCI. Compared with conventional HBSM‐MMC, the proposed method reduced the total capacitance by approximately half when m = 1.15. A comprehensive comparison of different capacitance reduction methods was presented to demonstrate the cost and effect. Simulation and experiment verified the proposed method.
Improving physical layer security in distributed multiple‐input multiple‐output dual‐function radar‐communication systems
Authors: Jebali Safieh , Keshavarz Hengameh , Hoseini Nilufar 
Published: June 2024

AbstractA distributed multiple‐input multiple‐output (MIMO) dual‐function radar‐communication (D‐MIMO DFRC) system is composed of multiple distributed dual‐function transmitters, multiple radar receivers and multiple communication receivers, which is capable of performing communication and radar tasks simultaneously. In a DFRC system, the goal is on optimising both the sum ‐rate in communication receivers and detection/localisation performance in radar receivers. The secrecy rate is maximised in D‐MIMO DFRC systems by decreasing the eavesdropper data rate as much as possible with a two‐step antenna selection method while maintaining optimal radar performance. In the first step of the proposed method, all transmitter antennas have been classified into groups based on their distance from each other, and each group is called a cluster. Then, a cluster of distributed transmitter antennas is selected based on path fading effects. In the second step of this method, the antenna selection algorithm is performed in the pre‐selected cluster based on channel capacity information utilising QR decomposition. The results show that this antenna selection method, along with low computational complexity and high performance, leads to the maximisation of the secrecy rate. In DFRC systems, it is desirable to minimise the total transmit power while satisfying system requirements to provide low probability of interception (LPI). Finally, after antenna selection, a power allocation strategy is also applied on the selected antennas to optimise the total transmit power and to maximise throughput in communication radar receivers simultaneously, and as a result it leads to provide LPI.
Kieferorthopädische Dekompensation von Tiefbisspatienten–
Kieferorthopädie am Limit in der kombiniert
kieferorthopädisch/kieferchirurgischen Therapie
Authors: Lang Norbert , Coenen Franziska , Pies Julia , Modabber Ali , Niederau Christian , Knaup Isabel , Wolf Michael 
Published: June 2024

ZusammenfassungDie Therapie von erwachsenen Patienten mit einer ausgeprägten skelettalen und
dentalen Angle-Klasse II kann die Kieferorthopädie mit rein konservativen
Behandlungsansätzen an ihre Grenzen bringen. Ein interdisziplinäres
kieferorthopädisch-kieferchirurgisches Therapiekonzept ist in diesem Fall häufig
die Therapie der Wahl. Hierbei stellt oft die präoperative Dekompensation eine
entscheidende Schlüsselfunktion dar. Im nachfolgend dokumentierten Patientenfall
soll der interdisziplinäre Therapieansatz unter der Verwendung einer
individuellen skelettal verankerten, digital designten PIPA-Apparatur
(Palatinal Inserierte Pins mit Aufbissplatte)
vorgestellt werden.
Discontinuation Rate of Lurasidone and Quetiapine Extended Release in
Bipolar Depression
Authors: Kishi Taro , Sakuma Kenji , Hamanaka Shun , Nishii Yasufumi , Iwata Nakao 
Published: June 2024

Abstract
Introduction Lurasidone (LUR) was compared with quetiapine extended
release (QUE-ER) regarding 1-year discontinuation in patients with bipolar
depression (n=317).
Methods This is a retrospective cohort study.
Results Although the time to all-cause discontinuation was estimated using
the Kaplan–Meier survival curve with log-rank tests to compare treatment groups,
no difference was found (p=0.317). The Cox proportional hazard model revealed
that only the presence of adverse events (AEs) is associated with increased
treatment discontinuation (p<0.0001). The most common AEs were akathisia for
LUR (17.7%) and somnolence for QUE-ER (34.7%). In other Cox models divided by
LUR or QUE-ER, the presence of akathisia or somnolence was associated with
increased LUR (p=0.0205) or QUE-ER (p<0.0001) discontinuation,
respectively.
Discussion The acceptability of both antipsychotics to bipolar depression
in clinical practice may be similar. However, specific AEs for each
antipsychotic (LUR: akathisia and QUE-ER: somnolence) were associated with high
treatment discontinuation.