bluuebunny/crossref_metadata_2025_split huggingface dataset:
Altered levels of cytokine, T- and B-lymphocytes, and PD-1 expression rates in drug-naïve schizophrenia patients with acute phase
Authors: Zheng Yali , Zhang Qi , Zhou Xianqin , Yao Linjuan , Zhu Quanfeng , Fu Zhengchuang 
Published: December 2023

AbstractMany studies have investigated the changes of immune cells and proinflammatory cytokines in patients with acute schizophrenia, but few studies have investigated the functional phenotypes of immune cells and the expression rate of programmed cell death protein 1 (PD-1)/ programmed cell death-Ligand 1 (PD-L1). The aim of this study was to investigate the extent of immune cells activation, PD-1/PD-L1 expressions, and altered cytokine levels in drug-naïve schizophrenia patients with acute-phase. 23 drug-naïve schizophrenia patients in acute-phase and 23 healthy individuals were enrolled in this study as experimental and control groups, separately. Socio-demographic information including gender, age, duration of illness, and smoking status was collected for each subject. Beckman DXFLEX triple laser thirteen-color flow cytometer and self-contained software CytoFLEX flow cytometric analysis software were used to detect the expressions of PD-1/PD-L1 on CD4+/CD8+ T lymphocytes, B lymphocytes, monocytes and NK cells. BD Bioscience was used to examine the levels of cytokines including interferon (IFN)-γ, tumor necrosis factor (TNF)-α, Interleukin (IL)-2, IL-4, IL-6, and IL-10. Drug-naïve schizophrenia patients in acute-phase had higher levels of peripheral blood CD4+ T lymphocytes and B lymphocytes, higher PD-1 expression in B lymphocytes, and lower levels of CD8+ T lymphocytes. In addition, IL-6 levels of peripheral blood were higher in schizophrenia patients (all P < 0.05). Significant immune stress was present in schizophrenia patients with acute-phase.
Analysis of influence factors of target polarization characteristics
Authors: Zhang Zhiwei , Yang Zhiyong , Li Gengpeng , Chen Dong , Wang Xiaowei 
Published: December 2023

AbstractThe target polarization characteristics reflect the important information about the medium material, surface texture, and structural characteristics of the target itself. In this paper, 9 kinds of samples with different materials, roughness, and surface texture direction are selected to measure the polarization characteristics in an outdoor environment, and the influencing factors of the target polarization characteristics are analyzed, where the influence of the surface texture direction on the spatial distribution of the target polarization characteristics is emphatically analyzed. The results show that the target polarization characteristics are affected by many factors such as material, roughness, surface texture direction, and detection position, and the greater the angle between the surface texture direction and the principal plane, the more concentrated the target polarization characteristics are in and around the principal plane, which could provide a theoretical basis for comprehensively mastering the target polarization characteristics, improving the ability of target polarization detection and recognition, and enhancing the confidence of the target polarization modeling and simulation.
Retinal sensitivity and fundus autofluorescence in adult-onset foveomacular vitelliform dystrophy
Authors: Fujino Ryosuke , Inoue Tatsuya , Yanagi Yasuo , Maruyama-Inoue Maiko , Kadonosono Kazuaki , Obata Ryo , Asaoka Ryo 
Published: December 2023

AbstractThe present study aimed to compare retinal sensitivity (RS) at each stage and to evaluate the relationship between RS and fundus autofluorescence (FAF) pattern in adult-onset foveomacular vitelliform dystrophy (AOFVD). We retrospectively reviewed 17 eyes of 13 patients with AOFVD. In addition to best-corrected visual acuity (VA), RS within the affected lesion and optical coherence tomography (OCT) measurements were carried out in each participant. All the examined eyes were classified into 4 stages and 3 FAF patterns. RS was superimposed on OCT fundus image and RS within the affected lesion was calculated in each eye. The relationships between visual functions (VA and RS within the affected lesion) and stages and also FAF patterns were analyzed using the linear mixed model. As a result, RS within the affected lesion was significantly associated with FAF pattern, but not with stage. In contrast, VA was correlated with neither stages nor FAF patterns. Our current result suggested that RS within the affected lesion was related to FAF patterns but this was not the case with VA in eyes with AOFVD, demonstrating the usefulness of measuring RS, not only VA, to comprehend the disease status in AOFVD.
Chemosensory input from mouthparts in response to sexually dimorphic cuticular wax mediates male sexual discrimination in Galerucella grisescens (Coleoptera: Chrysomelidae)
Authors: Chiba Yuki , Yosano Shun , Hori Masatoshi 
Published: December 2023

AbstractThe surface of the insect body is covered with a hydrophobic layer called cuticular wax (CW). In addition to functioning as an anti-desiccation agent, CW is critical for chemical communication. It has been reported that in Chrysomelidae, males discriminate between sexes based on the sex-specific CW. However, little is known regarding the underlying sensory basis. Herein, we demonstrate that chemosensory input from mouthparts mediates sexual discrimination in male Galerucella grisescens (Chrysomelidae). Observations of mating behaviour, bioassays for CW, and chemical analyses revealed that G. grisescens possess qualitatively sexually dimorphic CW, and such compositional differences allow males to distinguish between sexes. Using electron microscopy, blocking male chemosensory organs, and electrophysiological experiments, we showed that male mouthparts bear chemosensory sensilla tuned to female CW components, and sensory input from them induces male aedeagal insertion, a common male behavioural response to females. Thus, detecting CW via mouthparts is essential for males to distinguish between sexes, consistent with the fact that males inspect conspecific individuals by licking their body surfaces. To our best knowledge, this is the first report describing the detailed functional roles of mouthparts in sexual discrimination in Coleoptera. We believe that this study will promote further studies on insect chemical communication.
Cortical time-course of evidence accumulation during semantic processing
Authors: Ghazaryan Gayane , van Vliet Marijn , Lammi Lotta , Lindh-Knuutila Tiina , Kivisaari Sasa , Hultén Annika , Salmelin Riitta 
Published: December 2023

AbstractOur understanding of the surrounding world and communication with other people are tied to mental representations of concepts. In order for the brain to recognize an object, it must determine which concept to access based on information available from sensory inputs. In this study, we combine magnetoencephalography and machine learning to investigate how concepts are represented and accessed in the brain over time. Using brain responses from a silent picture naming task, we track the dynamics of visual and semantic information processing, and show that the brain gradually accumulates information on different levels before eventually reaching a plateau. The timing of this plateau point varies across individuals and feature models, indicating notable temporal variation in visual object recognition and semantic processing.
Formation energy prediction of crystalline compounds using deep convolutional network learning on voxel image representation
Authors: Davariashtiyani Ali , Kadkhodaei Sara 
Published: December 2023

AbstractEmerging machine-learned models have enabled efficient and accurate prediction of compound formation energy, with the most prevalent models relying on graph structures for representing crystalline materials. Here, we introduce an alternative approach based on sparse voxel images of crystals. By developing a sophisticated network architecture, we showcase the ability to learn the underlying features of structural and chemical arrangements in inorganic compounds from visual image representations, subsequently correlating these features with the compounds’ formation energy. Our model achieves accurate formation energy prediction by utilizing skip connections in a deep convolutional network and incorporating augmentation of rotated crystal samples during training, performing on par with state-of-the-art methods. By adopting visual images as an alternative representation for crystal compounds and harnessing the capabilities of deep convolutional networks, this study extends the frontier of machine learning for accelerated materials discovery and optimization. In a comprehensive evaluation, we analyse the predicted convex hulls for 3115 binary systems and introduce error metrics beyond formation energy error. This evaluation offers valuable insights into the impact of formation energy error on the performance of the predicted convex hulls.
Near-room temperature ferromagnetism and a tunable anomalous Hall effect in atomically thin Fe4CoGeTe2
Authors: Yan Shaohua , He Hui-Hui , Fu Yang , Zhao Ning-Ning , Tian Shangjie , Yin Qiangwei , Meng Fanyu , Cao Xinyu , Wang Le , Chen Shanshan , Son Ki-Hoon , Choi Jun Woo , Ryu Hyejin , Wang Shouguo , Lei Hechang , Liu Kai , Zhang Xiao 
Published: December 2023

A Tc of around 284 K has been realized in a 2 nm Fe4CoGeTe2 sample. Meanwhile, Fe4CoGeTe2 exhibits a temperature- and thickness-tunable intrinsic anomalous Hall effect, possibly due to the changes of Berry curvature near the Fermi energy level.
Asynchronies in Auditory and Language Development Obscure Connections to Phonological Deficits in Children
Authors: Nittrouer Susan , Lowenstein Joanna H. 
Published: December 2023

Purpose:
For half a century, psycholinguists have been exploring the idea that developmental language disorders may have their roots in suprathreshold auditory dysfunctions, but results are inconclusive. Typical studies focus on relationships between temporal processing abilities and measures of various language skills at the time of testing, a proximal account. This study expanded that focus by testing three novel hypotheses: (a) Spectral processing impairments may be more responsible for language-learning deficits than temporal processing impairments. (b) Phonological sensitivity is likely the specific language skill most strongly affected by auditory (dys)functions. (c) Poor auditory functioning observed at young ages may wholly or partly recover, reducing the magnitude of relationship between those recovered functions and persistent language skills at older ages.

Method:
Sixty-six children (31 boys, 35 girls) 7–10 years of age participated: 36 with typical language and 30 with reading or speech disorder; from this sample two subsamples were designated: younger (7–8 years) and older (9–10 years) children. Four auditory measures were obtained of spectral modulation detection (0.5 and 2.0 cycles per octave) and temporal modulation detection (16 and 64 Hz). Four language measures were obtained, two lexicosyntactic and two phonological.

Results:
Younger children showed deficits in all auditory skills, but most strongly for spectral modulation detection at 0.5 cycles per octave; that measure was the only one for which older children showed deficits. Spectral modulation detection was the auditory function most strongly correlated with a language skill, and that language skill was phonological sensitivity.

Conclusions:
Early impairments in suprathreshold auditory functions, especially spectral processing, interfere with language acquisition at early stages, especially phonological sensitivity. Although auditory functions can recover to some extent, impairments in language skills persist, indicating that a distal account may more appropriately explain the relationship.

Supplemental Material:

https://doi.org/10.23641/asha.24730128
A cooperative control method combining signal control and speed control for transit with connected vehicle environment
Authors: Teng Kunmin , Liu Haiqing , Liu Qiang , Lu Xiao 
Published: December 2023

AbstractTransit operation efficiency and service quality can be enhanced through the implementation of signal and speed control. Previous studies prefer to change driving speed in priority to alleviate the adverse effects of signal timing adjustment on social vehicles. The driving safety and fuel consumption of transit are ignored. To this end, a cooperative control method consisting of three models is proposed. The cooperative control strategy model provides optimal schemes for allocating transit priority time. Based on this, the adjustment of phase time and the transit speed trajectory with the lower fuel consumption are calculated by signal control model and speed control model, respectively. Especially, the signal control model is established in the background of green wave coordinated control to further protect the travelling benefits of social vehicles. The simulation is performed in SUMO to demonstrate the effectiveness of the proposed method. The results show that the cooperative control method improves the crossing efficiency and enhances the fuel economy of transit under different arrival speeds and lengths of control area. Compared with the general signal control, the proposed method can minimize traffic interference, which is particularly obvious in a higher degree of saturation.
MTHI‐former: Multilevel attention for two‐handed reconstruction from RGB image
Authors: Jiao Zixun , Wang Xihan , Li Jingcao , Gao Quanli 
Published: December 2023

AbstractHand reconstruction is the foundation of virtual reality and human–computer interaction, but currently it still faces challenges such as blurred interaction edge and inter‐hand occlusion. To solve these challenges, in this letter, the authors propose a framework called Multilevel Two Hand Interactive Former (MTHI‐Former) which considers the vertices of a hand model as graph structures and learn the connectivity relationships information between vertices. In this framework, the authors introduce two novel modules. The first is the Multi‐branch Image Feature Extraction Module , which is utilized to obtain accurate hand features. The second is the Multilevel Two Hand Interaction Module , which is utilized to fuse interactive hand information to enhance the attention features of interactive edges, and fuse vertex relationships to determine the occlusion relationship between interactive hands. The authors compare their method with recent methods on the InterHand 2.6M dataset, and the experimental results show that their method outperforms other representative methods, achieving a result of 13.15 mm and an improvement in performance of about 18%.
Development of an augmented reality guidance system for head and neck cancer resection
Authors: Tong Guansen , Xu Jiayi , Pfister Michael , Atoum Jumanh , Prasad Kavita , Miller Alexis , Topf Michael , Wu Jie Ying 
Published: December 2023

AbstractThe use of head‐mounted augmented reality (AR) for surgeries has grown rapidly in recent years. AR aids in intraoperative surgical navigation through overlaying three‐dimensional (3D) holographic reconstructions of medical data. However, performing AR surgeries on complex areas such as the head and neck region poses challenges in terms of accuracy and speed. This study explores the feasibility of an AR guidance system for resections of positive tumour margins in a cadaveric specimen. The authors present an intraoperative solution that enables surgeons to upload and visualize holographic reconstructions of resected cadaver tissues. The solution involves using a 3D scanner to capture detailed scans of the resected tissue, which are subsequently uploaded into our software. The software converts the scans of resected tissues into specimen holograms that are viewable through a head‐mounted AR display. By re‐aligning these holograms with cadavers with gestures or voice commands, surgeons can navigate the head and neck tumour site. This workflow can run concurrently with frozen section analysis. On average, the authors achieve an uploading time of 2.98 min, visualization time of 1.05 min, and re‐alignment time of 4.39 min, compared to the 20 to 30 min typical for frozen section analysis. The authors achieve a mean re‐alignment error of 3.1 mm. The authors’ software provides a foundation for new research and product development for using AR to navigate complex 3D anatomy in surgery.
Energy‐efficiency optimization and control for electric vehicle platooning with regenerating braking
Authors: Li Zhicheng , Wang Yang 
Published: December 2023

AbstractIt is a critical problem to improve energy efficiency for electric vehicle platooning systems. Moreover, different from internal combustion engine vehicles, the electric engine has higher efficiency, and further regenerating braking is widely used to recycle part of the energy in the electric vehicle when it is braking. What is more, if vehicles take a formation to drive, they can save more energy. Combining all the favorable factors, this paper presents a two‐layer energy‐efficiency optimization strategy for electric vehicle platooning. The upper layer presents an optimization method to find the optimal velocities and distances between vehicles under different road conditions during the cruise status of the electric vehicle platooning. Due to the nonconvex cost function and considering regenerative braking, the optimization problem is addressed by the dynamic programming method combined with the successive convex approximation method. Further, the lower layer presents a real‐time Model Predictive Control (MPC) strategy, and it directly introduces the battery pack state of charge consumption as the input, which not only finishes the control mission but also consumes minimal energy. Finally, simulation results are provided to verify the effectiveness and advantages of the proposed methods.
A novel fault section location method for single pole to ground fault of DC distribution lines
Authors: Jin Wei , Wang Zilong , Wang Hao , Feng Shiguang , Liang Rui 
Published: December 2023

AbstractDirect‐current (DC) distribution lines are mostly underground cables, with the highest probability of single pole to ground fault among various faults. However, the topology of DC distribution networks is flexible and variable, and existing fault location technologies cannot achieve both high accuracy and good adaptability. A fault section location method for single pole to ground fault in DC distribution lines based on steady‐state zero‐mode current direction is proposed. First, a unified zero‐mode equivalent model for the DC distributed system in the non‐effectively grounded system is established. Then the directional difference in zero‐mode current between the fault and non‐fault sections in the zero‐mode network is fully explored when a single pole to ground fault occurs. Next, a fault section location criterion based on the direction of the steady‐state zero‐mode current is proposed to effectively identify the single‐pole grounded fault section. The feasibility of the proposed fault section location method under different fault conditions is verified based on the PSCAD/EMTDC software. In addition, the simulations show that the proposed method is suitable in the non‐effectively grounded system, and has low requirements for sampling frequency and data processing, with strong resistance to transition resistance.
A novel snow conditions‐compatible computational intelligence‐based PV power forecasting approach for microgrids in snow prone regions
Authors: Hashemi Behzad , Taheri Shamsodin , Cretu Ana‐Maria 
Published: December 2023

AbstractEnergy management in a renewable energy‐based microgrid has a key role in improving energy utilisation and reducing the microgrid operation cost. The optimal energy management strategy can be significantly affected by the intermittency of renewable energies and also harsh weather conditions. In this study, a novel snow conditions‐compatible computational intelligence‐based short‐term photovoltaic (PV) power forecasting (PVPF) approach is proposed that is independent of exogenous weather forecasts. The proposed approach consists of a snow cover detection stage, a snow cover forecasting stage, and a PV power forecasting stage. This approach is then validated for a model predictive control (MPC)‐based energy management system (EMS) of a PV energy‐based grid‐connected microgrid located in a snow‐prone area. The PVPF method together with a computational intelligence‐based short‐term load demand forecasting model constitutes the forecasting block of the EMS. The forecasting block generates day‐ahead hourly forecasts based on the local measurements of the meteorological‐electrical parameters and sends them to the optimisation block where a two‐stage control method, corresponding to the tertiary and secondary control levels, is developed based on mixed‐integer linear and quadratic programming. The developed EMS is applied to a test microgrid simulated in MATLAB/Simulink and compared with a heuristic control method. The results show that the proposed approach can reduce the overall operation cost of the microgrid by 8% (24$), 15% (166$), and 13% (235$) on sunny, cloudy, and snowy days under study, respectively, compared to the heuristic controller.
Prevalência de ausência de tendão palmaris longus em uma amostra populacional de uma cidade brasileira multiétnica*
Authors: Kitagaki Danilo Pizzo , Fernandes Carlos Henrique , Meirelles Lia Miyamoto , Nakachima Luis Renato , Santos João Baptista Gomes dos , Faloppa Flávio 
Published: December 2023

Resumo
Objetivo O objetivo do presente estudo foi determinar a prevalência de ausência de tendão palmaris longus em uma amostra populacional de uma cidade multiétnica brasileira.
Métodos Um estudo observacional transversal foi realizado entre outubro de 2017 e abril de 2018. Incluímos voluntários dos sexos masculino e feminino com 18 anos ou mais. A ausência do tendão palmaris longus foi determinada pedindo aos voluntários que realizassem o teste de Schaeffer bilateralmente.
Resultados Foram coletados prospectivamente dados de 1.008 voluntários, 531 homens e 477 mulheres, com idade entre 18 e 74 anos (média de 38,4 anos). A ausência do tendão palmaris longus foi observada em 264 (26,2%) voluntários. A ausência bilateral foi detectada em 123 voluntários (12,2%), 60 mulheres (48,8%) e 63 homens (51,2%). A ausência unilateral foi encontrada em 141 pacientes (14,0%), 54 mulheres (38,2%) e 87 homens (61,8%) (p < 0,05).
Conclusão A prevalência de ausência do tendão palmaris longus em nosso estudo foi de 26,2%. Não houve diferença estatisticamente significativa bilateralmente e entre gêneros. A ausência do tendão palmaris longus foi predominante no lado direito unilateral no sexo masculino.
Falha óssea na glenoide – Uma avaliação retrospectiva dos desfechos funcionais após cirurgia de bloqueio ósseo para instabilidade anterior do ombro em atletas de alta demanda
Authors: Lara Paulo Henrique Schmidt , Gonçalves Gabriel Massarico , Zobiole Alexandre Figueiredo , Silva Eli Henrique Rodrigues da , Ejnisman Benno , Belangero Paulo Santoro 
Published: December 2023

Resumo
Objetivo Avaliar a relação do tamanho do defeito ósseo da glenoide no arco de movimento, nos resultados funcionais e nas complicações em pacientes atletas de alta performance submetidos a cirurgia de bloqueio ósseo para instabilidade anterior do ombro.
Método Estudo retrospectivo no qual foram avaliados os resultados pós-operatórios de atletas submetidos a cirurgia de bloqueio ósseo para instabilidade anterior do ombro. Em 5 anos foram 41 ombros operados, sendo 20 deles com até 15% de defeito ósseo e 21 com defeitos entre 15% e 25%.
Resultados Não houve diferença estatisticamente significativa com relação a complicações pós-operatórias, novas luxações, e na taxa de retorno ao esporte. Os critérios quantitativos avaliados – arcos de movimento e escores funcionais – também não apresentaram diferença estatisticamente significativa entre os grupos.
Conclusão O tamanho do defeito ósseo por si só não parece afetar os resultados funcionais e as complicações desses procedimentos, sendo uma técnica segura tanto para defeitos pequenos, quanto para os maiores.