bluuebunny/crossref_metadata_2025_split huggingface dataset:
Auditory prediction and prediction error responses evoked through a novel cascade roving paradigm: a human ECoG study
Authors: Fujitani Shigeta , Kunii Naoto , Nagata Keisuke , Takasago Megumi , Shimada Seijiro , Tada Mariko , Kirihara Kenji , Komatsu Misako , Uka Takanori , Kasai Kiyoto , Saito Nobuhito 
Published: January 2024

Abstract
Auditory sensory processing is assumed to occur in a hierarchical structure including the primary auditory cortex (A1), superior temporal gyrus, and frontal areas. These areas are postulated to generate predictions for incoming stimuli, creating an internal model of the surrounding environment. Previous studies on mismatch negativity have indicated the involvement of the superior temporal gyrus in this processing, whereas reports have been mixed regarding the contribution of the frontal cortex. We designed a novel auditory paradigm, the “cascade roving” paradigm, which incorporated complex structures (cascade sequences) into a roving paradigm. We analyzed electrocorticography data from six patients with refractory epilepsy who passively listened to this novel auditory paradigm and detected responses to deviants mainly in the superior temporal gyrus and inferior frontal gyrus. Notably, the inferior frontal gyrus exhibited broader distribution and sustained duration of deviant-elicited responses, seemingly differing in spatio-temporal characteristics from the prediction error responses observed in the superior temporal gyrus, compared with conventional oddball paradigms performed on the same participants. Moreover, we observed that the deviant responses were enhanced through stimulus repetition in the high-gamma range mainly in the superior temporal gyrus. These features of the novel paradigm may aid in our understanding of auditory predictive coding.
Improved estimation of general cognitive ability and its neural correlates with a large battery of cognitive tasks
Authors: Zhang Liang , Feng Junjiao , Liu Chuqi , Hu Huinan , Zhou Yu , Yang Gangyao , Peng Xiaojing , Li Tong , Chen Chuansheng , Xue Gui 
Published: January 2024

Abstract
Elucidating the neural mechanisms of general cognitive ability (GCA) is an important mission of cognitive neuroscience. Recent large-sample cohort studies measured GCA through multiple cognitive tasks and explored its neural basis, but they did not investigate how task number, factor models, and neural data type affect the estimation of GCA and its neural correlates. To address these issues, we tested 1,605 Chinese young adults with 19 cognitive tasks and Raven’s Advanced Progressive Matrices (RAPM) and collected resting state and n-back task fMRI data from a subsample of 683 individuals. Results showed that GCA could be reliably estimated by multiple tasks. Increasing task number enhances both reliability and validity of GCA estimates and reliably strengthens their correlations with brain data. The Spearman model and hierarchical bifactor model yield similar GCA estimates. The bifactor model has better model fit and stronger correlation with RAPM but explains less variance and shows weaker correlations with brain data than does the Spearman model. Notably, the n-back task-based functional connectivity patterns outperform resting-state fMRI in predicting GCA. These results suggest that GCA derived from a multitude of cognitive tasks serves as a valid measure of general intelligence and that its neural correlates could be better characterized by task fMRI than resting-state fMRI data.
Multiclass classification of motor imagery tasks based on multi-branch convolutional neural network and temporal convolutional network model
Authors: Yu Shiqi , Wang Zedong , Wang Fei , Chen Kai , Yao Dezhong , Xu Peng , Zhang Yong , Wang Hesong , Zhang Tao 
Published: January 2024

Abstract
Motor imagery (MI) is a cognitive process wherein an individual mentally rehearses a specific movement without physically executing it. Recently, MI-based brain–computer interface (BCI) has attracted widespread attention. However, accurate decoding of MI and understanding of neural mechanisms still face huge challenges. These seriously hinder the clinical application and development of BCI systems based on MI. Thus, it is very necessary to develop new methods to decode MI tasks. In this work, we propose a multi-branch convolutional neural network (MBCNN) with a temporal convolutional network (TCN), an end-to-end deep learning framework to decode multi-class MI tasks. We first used MBCNN to capture the MI electroencephalography signals information on temporal and spectral domains through different convolutional kernels. Then, we introduce TCN to extract more discriminative features. The within-subject cross-session strategy is used to validate the classification performance on the dataset of BCI Competition IV-2a. The results showed that we achieved 75.08% average accuracy for 4-class MI task classification, outperforming several state-of-the-art approaches. The proposed MBCNN-TCN-Net framework successfully captures discriminative features and decodes MI tasks effectively, improving the performance of MI-BCIs. Our findings could provide significant potential for improving the clinical application and development of MI-based BCI systems.
Neuronal composition of processing modules in human V1: laminar density for neuronal and non-neuronal populations and a comparison with macaque
Authors: Garcia-Marin Virginia , Kelly Jenna G , Hawken Michael J 
Published: January 2024

Abstract
The neuronal composition of homologous brain regions in different primates is important for understanding their processing capacities. Primary visual cortex (V1) has been widely studied in different members of the catarrhines. Neuronal density is considered to be central in defining the structure–function relationship. In human, there are large variations in the reported neuronal density from prior studies. We found the neuronal density in human V1 was 79,000 neurons/mm3, which is 35% of the neuronal density previously determined in macaque V1. Laminar density was proportionally similar between human and macaque. In V1, the ocular dominance column (ODC) contains the circuits for the emergence of orientation preference and spatial processing of a point image in many mammalian species. Analysis of the total neurons in an ODC and of the full number of neurons in macular vision (the central 15°) indicates that humans have 1.2× more neurons than macaques even though the density of neurons in macaque is 3× the density in human V1. We propose that the number of neurons in a functional processing unit rather than the number of neurons under a mm2 of cortex is more appropriate for cortical comparisons across species.
Deep learning for tooth identification and numbering on dental radiography: a systematic review and meta-analysis
Authors: Sadr Soroush , Rokhshad Rata , Daghighi Yasaman , Golkar Mohsen , Tolooie Kheybari Fateme , Gorjinejad Fatemeh , Mataji Kojori Atousa , Rahimirad Parisa , Shobeiri Parnian , Mahdian Mina , Mohammad-Rahimi Hossein 
Published: January 2024

Abstract

Objectives
Improved tools based on deep learning can be used to accurately number and identify teeth. This study aims to review the use of deep learning in tooth numbering and identification.

Methods
An electronic search was performed through October 2023 on PubMed, Scopus, Cochrane, Google Scholar, IEEE, arXiv, and medRxiv. Studies that used deep learning models with segmentation, object detection, or classification tasks for teeth identification and numbering of human dental radiographs were included. For risk of bias assessment, included studies were critically analysed using quality assessment of diagnostic accuracy studies (QUADAS-2). To generate plots for meta-analysis, MetaDiSc and STATA 17 (StataCorp LP, College Station, TX, USA) were used. Pooled outcome diagnostic odds ratios (DORs) were determined through calculation.

Results
The initial search yielded 1618 studies, of which 29 were eligible based on the inclusion criteria. Five studies were found to have low bias across all domains of the QUADAS-2 tool. Deep learning has been reported to have an accuracy range of 81.8%-99% in tooth identification and numbering and a precision range of 84.5%-99.94%. Furthermore, sensitivity was reported as 82.7%-98% and F1-scores ranged from 87% to 98%. Sensitivity was 75.5%-98% and specificity was 79.9%-99%. Only 6 studies found the deep learning model to be less than 90% accurate. The average DOR of the pooled data set was 1612, the sensitivity was 89%, the specificity was 99%, and the area under the curve was 96%.

Conclusion
Deep learning models successfully can detect, identify, and number teeth on dental radiographs. Deep learning-powered tooth numbering systems can enhance complex automated processes, such as accurately reporting which teeth have caries, thus aiding clinicians in making informed decisions during clinical practice.
Tertiary syphilis and cardiovascular disease: the united triad: case report
Authors: Berhil Taha , Radi Fatima Zohra , El Boussaadani Badre , Raissouni Zainab 
Published: January 2024

Abstract

Background
Syphilis, owing to its natural course, can lead to long-term damage to the aortic valve, such as insufficiency and rarely stenosis, ostial coronary stenosis, and syphilitic aortitis. Cardiovascular involvement alongside neurological involvement dominates the prognosis. This should no longer be seen, thanks to awareness and prevention programmes, medical treatment, and antibiotics.

Case summary
We report a case of a 54-year-old chronic smoker with no previous history, admitted for respiratory distress amid an impaired general condition. An electrocardiogram was performed, which showed sinus rhythm with lateral ST depression and T-wave inversion. Coronary angiography revealed an ostial stenosis of the left coronary artery. Echocardiography displayed a globular dilated left ventricle with a left ventricular ejection fraction of 40% and severe aortic insufficiency (AI). Computed tomography angiography of the aorta showed a dilation of the thoracic aorta and suprarenal abdominal aorta. Syphilitic serology was positive. The patient underwent angioplasty, resulting in a satisfactory outcome, and subsequently received optimal treatment. Following a consultation with a cardiovascular surgeon and vascular team, it was decided to proceed with mechanical aortic valve replacement and aorto-coronary double bypass surgery, but vascular surgery of the ascending aortic aneurysm was not possible at once.

Discussion
Tertiary syphilis should always be considered when faced with isolated coronary ostial involvement, aortic aneurysm, and/or AI. What makes our case special is that the patient had almost all the cardiovascular complications of tertiary syphilis. Primary syphilis should always be prevented, diagnosed early, and treated appropriately with antibiotic therapy.
Transoesophageal echocardiography-guided balloon-assisted percutaneous closure of a large secundum atrial septal defect in a pregnant woman: a case report
Authors: Prakoso Radityo , Ariani Rina , Mendel Brian , Lilyasari Oktavia 
Published: January 2024

Abstract

Background
According to the 2018 European Society of Cardiology guidelines, atrial septal defect (ASD) closure can be performed during pregnancy but is rarely indicated. In this case, we demonstrate the viability of percutaneous balloon-assisted ASD closure without fluoroscopy in a pregnant woman.

Case summary
A 23-year-old G3P2A0 woman who was 20 weeks pregnant had primary complaints of breathlessness [New York Heart Association functional class (NYHA fc) III and IV] for 1 week prior to admission. A transthoracic echocardiography showed a dilatation of the right atrium (RA), a dilated right ventricle, a dilated main pulmonary artery (28.1 mm), and an oval-shaped 22 × 33 mm-sized secundum ASD with a left-to-right shunt. Despite optimal pharmacological treatment, the NYHA fc persisted. Under transoesophageal echocardiography monitoring, we introduced a 40 mm Cera™ ASD Occluder (Lifetech, China) via the delivery sheath. The device was deployed in the usual position; however, despite numerous placement adjustments, the left atrium disc kept getting dislodged to the RA and could not engage correctly. Therefore, we decided to use a balloon-assisted approach using a sizing balloon of No. 34 mm. The device was successfully positioned, and a wiggle test was conducted to make sure that the device remained stable. The patient was able to give birth to the child normally several months later.

Discussion
Despite the fact that pregnant women with ASD receive a very low dose of radiation, it is nevertheless recommended to avoid radiation because this demographic is particularly vulnerable to it. It is possible to treat a large ASD in pregnant women with a successful balloon-assisted approach.
p-Hacking, Data type and Data-Sharing Policy
Authors: Brodeur Abel , Cook Nikolai , Neisser Carina 
Published: January 2024

Abstract
This paper examines the relationship between p-hacking, publication bias and data-sharing policies. We collect 38,876 test statistics from 1,106 articles published in leading economic journals between 2002–20. We find that, while data-sharing policies increase the provision of data, they do not decrease the extent of p-hacking and publication bias. Similarly, articles that use hard-to-access administrative data or third-party surveys, as compared to those that use easier-to-access (e.g., author-collected) data, are not different in their p-hacking and publication extent. Voluntary provision of data by authors on their home pages offers no evidence of reduced p-hacking.
Understanding the health system barriers and enablers to childhood MMR and HPV vaccination among disadvantaged, minority or underserved populations in middle- and high-income countries: a systematic review
Authors: Essa-Hadad Jumanah , Gorelik Yanay , Vervoort Johanna , Jansen Danielle , Edelstein Michael 
Published: January 2024

Abstract

Background
Child vaccinations are among the most effective public health interventions. However, wide gaps in child vaccination remain among different groups with uptake in most minorities or ethnic communities in Europe substantially lower compared to the general population. A systematic review was conducted to understand health system barriers and enablers to measles, mumps and rubella (MMR) and human papilloma virus (HPV) child vaccination among disadvantaged, minority populations in middle- and high-income countries.

Methods
We searched Medline, Cochrane, CINAHL, ProQuest and EMBASE for articles published from 2010 to 2021. Following title and abstract screening, full texts were assessed for relevance. Study quality was appraised using Critical Appraisal Skills Program checklists. Data extraction and analysis were performed. Health system barriers and enablers to vaccination were mapped to the World Health Organization health system building blocks.

Results
A total of 1658 search results were identified from five databases and 24 from reference lists. After removing duplicates, 1556 titles were screened and 496 were eligible. Eighty-six full texts were assessed for eligibility, 28 articles met all inclusion criteria. Factors that affected MMR and HPV vaccination among disadvantaged populations included service delivery (limited time, geographic distance, lack of culturally appropriate translated materials, difficulties navigating healthcare system), healthcare workforce (language and poor communication skills), financial costs and feelings of discrimination.

Conclusion
Policymakers must consider health system barriers to vaccination faced by disadvantaged, minority populations while recognizing specific cultural contexts of each population. To ensure maximum policy impact, approaches to encourage vaccinations should be tailored to the unique population’s needs. A one-size-fits-all approach is not effective.
Tree crown defoliation in forest monitoring: concepts, findings, and new perspectives for a physiological approach in the face of climate change
Authors: Bussotti Filippo , Potočić Nenad , Timmermann Volkmar , Lehmann Marco M , Pollastrini Martina 
Published: January 2024

AbstractRecurrent climate-driven disturbances impact on the health of European forests that reacted with increased tree dieback and mortality over the course of the last four decades. There is therefore large interest in predicting and understanding the fate and survival of forests under climate change. Forest conditions are monitored within the pan-European ICP Forests programme (UN-ECE International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests) since the 1980s, with tree crown defoliation being the most widely used parameter. Defoliation is not a cause-specific indicator of tree health and vitality, and there is a need to connect defoliation levels with the physiological functioning of trees. The physiological responses connected to tree crown defoliation are species-specific and concern, among others, water relations, photosynthesis and carbon metabolism, growth, and mineral nutrients of leaves. The indicators to measure physiological variables in forest monitoring programs must be easy to apply in the field with current state-of-the-art technologies, be replicable, inexpensive, time efficient and regulated by ad hoc protocols. The ultimate purpose is to provide data to feed process-based models to predict mortality and threats in forests due to climate change. This study reviews the problems and perspectives connected to the realization of a systematic assessment of physiological variables and proposes a set of indicators suitable for future application in forest monitoring programs.
The 2023 Walter B. Cannon Award Lecture: Mechanisms Regulating Vascular Function and Blood Pressure by the PPARγ-RhoBTB1-CUL3 Pathway
Authors: Sigmund Curt D 
Published: January 2024

Abstract
Human genetic and clinical trial data suggest that peroxisome proliferator activated receptor γ (PPARγ), a nuclear receptor transcription factor plays an important role in the regulation of arterial blood pressure. The examination of a series of novel animal models, coupled with transcriptomic and proteomic analysis, has revealed that PPARγ and its target genes employ diverse pathways to regulate vascular function and blood pressure. In endothelium, PPARγ target genes promote an antioxidant state, stimulating both nitric oxide (NO) synthesis and bioavailability, essential components of endothelial-smooth muscle communication. In vascular smooth muscle, PPARγ induces the expression of a number of genes that promote an antiinflammatory state and tightly control the level of cGMP, thus promoting responsiveness to endothelial-derived NO. One of the PPARγ targets in smooth muscle, Rho related BTB domain containing 1 (RhoBTB1) acts as a substrate adaptor for proteins to be ubiquitinated by the E3 ubiquitin ligase Cullin-3 and targeted for proteasomal degradation. One of these proteins, phosphodiesterase 5 (PDE5) is a target of the Cullin-3/RhoBTB1 pathway. Phosphodiesterase 5 degrades cGMP to GMP and thus regulates the smooth muscle response to NO. Moreover, expression of RhoBTB1 under condition of RhoBTB1 deficiency reverses established arterial stiffness. In conclusion, the coordinated action of PPARγ in endothelium and smooth muscle is needed to maintain NO bioavailability and activity, is an essential regulator of vasodilator/vasoconstrictor balance, and regulates blood vessel structure and stiffness.
Transcriptional Profiling of Muscle in Females With Distal Radius Fracture and Functional Sarcopenia
Authors: Kang Jeong-Hyun , Baek Jeong-Hwa , Lee Jin Kwang , Hong Seok Woo 
Published: January 2024

Abstract
Skeletal muscle and bone interact with each other in mechanical and biochemical ways. This study aimed to investigate the molecular mechanisms of interaction between muscle and bone by analyzing the transcriptional profiles of total RNA from the muscle tissue of females with distal radius fractures. A total of 30 female participants (mean age 71.1 ± 8.9 years) with distal radius fractures were recruited. Participants were categorized into 2 groups: the NORM group consisted of participants with T score of the areal bone mineral density (aBMD) of the femoral neck higher than –1.0, handgrip strength greater than 18 kg, and gait speed faster than 1.0 m/s (n = 10). Otherwise, participants with T score of the aBMD of the femoral neck equal to or less than –1.0, handgrip strength lower than 18 kg, and gait speed slower than 1.0 m/s (n = 20) were categorized into EXP group. Pronator quadratus muscle samples were obtained from all participants. Total RNA was extracted from frozen muscle samples and sequenced. The gene ontology analysis demonstrated that the potential interactions between attached muscle function and the density of the associated bone would be linked with collagen biosynthetic activity and maintenance of extracellular matrix structures. The analysis of the pathway, network, and protein class exhibited that integrin signaling, inflammatory reactions, matrix metalloproteinase (MMP) activity, and extracellular matrix protein structure had possible associations with the molecular background of muscle–bone interaction. Through integrin signaling, MMP activity, inflammatory reactions, and collagen biosynthesis, muscle and bone may mutually interact with one another.
A comprehensive theory for 1-D (an)elastic medium deformation due to plane-wave fluid pressure perturbation
Authors: Xu Zongbo , Lognonné Philippe 
Published: January 2024

SUMMARYAtmospheric and oceanic pressure perturbations deform the ground surface and the seafloor, respectively. This mechanical deformation, where the fluid perturbations propagate as plane waves, occurs not only on Earth but also on other planets/bodies with atmospheres, such as Mars, Titan and Venus. Studying this type of deformation improves our understanding of the mechanical interaction between the fluid layer (atmosphere/ocean) and the underlying solid planet/body, and aids investigation of subsurface structures. In this study, we utilize eigenfunction theory to unify existing theories for modelling this deformation and to comprehensively demonstrate possible scenarios of this deformation in homogeneous and 1-D elastic media, including static loading, air-coupled Rayleigh waves and leaky-mode surface waves. Our computations quantitatively reveal that the deformation amplitude generally decays with depth and that reducing seismic noise due to Martian atmosphere requires deploying seismometers at least 1 m beneath Martian surface. We also apply our theory to illustrate how this deformation and the corresponding air-to-solid energy conversion vary on different planetary bodies. Finally, we discuss how medium anelasticity and other factors affect this deformation.