bluuebunny/crossref_metadata_2025_split huggingface dataset:
EEG decoding with spatiotemporal convolutional neural network for visualization and closed‐loop control of sensorimotor activities: A simultaneous EEG‐fMRI study
Authors: Iwama Seitaro , Tsuchimoto Shohei , Mizuguchi Nobuaki , Ushiba Junichi 
Published: June 2024

AbstractClosed‐loop neurofeedback training utilizes neural signals such as scalp electroencephalograms (EEG) to manipulate specific neural activities and the associated behavioral performance. A spatiotemporal filter for high‐density whole‐head scalp EEG using a convolutional neural network can overcome the ambiguity of the signaling source because each EEG signal includes information on the remote regions. We simultaneously acquired EEG and functional magnetic resonance images in humans during the brain‐computer interface (BCI) based neurofeedback training and compared the reconstructed and modeled hemodynamic responses of the sensorimotor network. Filters constructed with a convolutional neural network captured activities in the targeted network with spatial precision and specificity superior to those of the EEG signals preprocessed with standard pipelines used in BCI‐based neurofeedback paradigms. The middle layers of the trained model were examined to characterize the neuronal oscillatory features that contributed to the reconstruction. Analysis of the layers for spatial convolution revealed the contribution of distributed cortical circuitries to reconstruction, including the frontoparietal and sensorimotor areas, and those of temporal convolution layers that successfully reconstructed the hemodynamic response function. Employing a spatiotemporal filter and leveraging the electrophysiological signatures of the sensorimotor excitability identified in our middle layer analysis would contribute to the development of a further effective neurofeedback intervention.
Subclinical leaflet thrombosis and anticoagulation strategy following trans‐catheter aortic valve replacement: A systematic review
Authors: Shashank Singam , Balireddi Lalitha Devi , Inban Pugazhendi , Al‐ezzi Saud Muthanna Shakir , Reddy Nalla Jaipal , Alalousi Yarub , Prajjwal Priyadarshi , John Jobby , Shajeri Mohammed Abulgaith Ali , Almadhoun Mohammed Khaleel I. K. H. , Sulaimanov Mukhamed , Amiri Bita , Marsool Mohammed Dheyaa Marsool , Amir Hussin Omniat 
Published: June 2024

AbstractObjectiveSubclinical leaflet thrombosis (SLT) develops in 15% of patients undergoing trans‐catheter aortic valve replacement (TAVR). TAVR is a procedure in which a faulty aortic valve is replaced with a mechanical one. An aortic valve replacement can be done with open‐heart surgery; this is called surgical aortic valve replacement (SAVR). A significant problem is defining the best course of treatment for asymptomatic individuals with SLT post‐TAVR, including the use of oral anticoagulation (OAC) in it.Study designSystematic review.MethodThe most pertinent published research (original papers and reviews) in the scientific literature were searched for and critically assessed using the online, internationally indexed databases PubMed, Medline, and Cochrane Reviews. Keywords like “Transcatheter valve replacement” and “Subclinical leaflet thrombosis” were used to search the papers. Selected studies were critically assessed for inclusion based on predefined criteria.ResultsThe review examined the prevalence and characteristics of SLT after TAVR. To note, the incidence of SLT is seen to be higher in TAVR compared SAVR. Dual antiplatelet therapy, which is utilized in antithrombotic regimens post‐TAVR, can possibly hasten SLT progression which could result in the impaired mobility of leaflets and the worsening of pressure gradients.ConclusionThe use of dual antiplatelet drugs in routine antithrombotic therapy tends to accelerate initial subclinical leaflet thrombosis after TAVI, which results in a developing restriction of leaflet mobility and an increase in pressure differences.
Gaps and Controversies in Catatonia as a Movement Disorder
Authors: Lenka Abhishek , Perera Vishal M. , Espay Alberto J. , Pontone Gregory M. , Okun Michael S. 
Published: June 2024

AbstractThe term “catatonia” was introduced by German psychiatrist Karl Kahlbaum in 1874. Although historically tied to schizophrenia, catatonia exhibits a diverse range of phenotypes and has been observed in various medical and neuropsychiatric conditions. Its intrinsic movement characteristics and association with hypokinetic and hyperkinetic phenomenologies place catatonia within the purview of movement disorders. Despite the presence of catatonia in psychiatry literature for over 150 years, many gaps and controversies persist regarding its etiopathogenesis, phenomenology, diagnostic criteria, and treatment. The current versions of the International Classification of Diseases (ICD‐11) and the Diagnostic and Statistical Manual of Mental Disorders (DSM‐5) require clinicians to identify any three signs of 15 (ICD‐11) or 12 (DSM‐5) for the diagnosis of catatonia. Catalepsy and waxy flexibility are the only motor features with high specificity for the diagnosis. We highlight the gaps and controversies in catatonia as a movement disorder, emphasize the lack of a clear definition, and discuss the inconsistencies in the description of various catatonic signs. We propose the exploration of a bi‐axial classification framework similar to that used for dystonia and tremor to encourage the evaluation of underlying etiologies and to guide therapeutic decisions to improve the outcome of these patients. © 2024 International Parkinson and Movement Disorder Society.
Traversing the digital divide in concept and effect: Relative interpretations and orientations
Authors: McNeely Connie L. 
Published: June 2024

AbstractThis discussion offers a general framing and positioning statement for identifying and considering principal analytical dimensions and policy concerns in relation to the deep and persistent digital divide that marks today's increasingly digitalized world. The digital divide encompasses various socio‐technological inequalities and inequities apparent within and across different groups, organizations, and geographic areas. Also linked to the growing Internet of Things, the digital divide generally refers to differences in information and communications technologies access and artificial intelligence applications and usage within social systems and among the countries of the world. Indicating different types and levels of socio‐technological engagement and impact, it is an issue of social, cultural, institutional, economic, and political inequality and stratification processes in which disadvantage and vulnerability, as well as privilege and power, are distributed. Related digital asymmetries are considered here in conceptual, theoretical, and applied terms relative to various issues as critical representations of relative divides characterized by socio‐spatial inequalities, inequities, and disparities in information and knowledge creation, access, opportunities, usage, and benefits. Also considered are aspirational goals for mitigating such asymmetries in related policy dialogues and directives, asserting possibilities for enhancing well‐being across sectors and peoples.
Global Political Logics and Mainstream Discourses on Illness in the Declarations of the State of Exception in the Context of the Covid-19 Pandemic: The Case of the USA, France, and Spain
Authors: Rosàs Tosas Mar 
Published: June 2024

AbstractAt the outbreak of the Covid-19 pandemic, several countries declared “states of exception,” that is, authorized legal devices that, in the face of circumstances deemed catastrophic, permit the implementation of extraordinary measures and the temporary suspension of some rights in order to restore the previous state of affairs as soon as possible. This paper offers a comparative textual analysis of the different states of exception declared in the USA, France, and Spain. I argue that these texts constitute a privileged site to explore how prevalent global political logics and mainstream discourses on illness are interwoven. Regarding the global political logics in play, I hold that these declarations constitute an instantiation of democracy’s autoimmune character; it attacks itself in order to protect itself. Regarding mainstream discourses on illness, I explore how illness is regarded as a threat to one’s self (by something seemingly other) and the notion that therapy must consist of securing the self’s triumph over anything seemingly other. This twofold analysis reveals that an aporetic dialectic between self and other—as regards politics and illness—operates in these declarations, most likely because it is, in fact, one and the same dialectic, upon which Western epistemology rests. Furthermore, I suggest that these texts reflect and promote these dominant logics, contributing to shape human relationships around the globe in a certain dangerous way.
Stability, modulation instability and traveling wave solutions of (3+1)dimensional Schrödinger model in physics
Authors: Ahmad Hijaz , Tariq Kalim U. , Kazmi S. M. Raza 
Published: June 2024

AbstractThe nonlinear Schrödinger equation is one of the most important physical model in optical fiber theory for comprehension of the fluctuations of optical bullet development. In this study, the exact bullet solutions for the (3+1)-dimensional Schrödinger equation which demonstrate the bullet behaviours in optical fibers can be accumulated through the Sardar sub-equation method and the unified method. The applied strategies may retrieve several kinds of optical bullet solutions within one frameworks as well as is quite simple and reliable. Mathematica are utilised for describing the dynamics of different wave structures as 3D, 2D, and contour visualisations for a given set of parameters. As a result, we are able to develop a variety of travelling wave structures namely the periodic, singular and V shaped soliton wave solutions. The stability analysis for the derived results is analysed efficiently while the modulation instability for the governing model has also been studied to demonstrate the reliability of the research. The approaches implemented here works perfectly and can be extended to deal with many advanced models in contemporary areas of science and engineering. The solutions attain by using these techniques are robust, unique and straight forward and has applications in different fields of physics, engineering and mathematical science. Specially physical applications of these obtain results are in the transmission of data in optical fibers. We also add the graphics for the better understanding of the attain solutions behaviour.
The kinetic and experimental study for the pyrolysis of hydrotreated and non-hydrotreated coking distillated fractions
Authors: Dragomir Raluca-Elena 
Published: June 2024

AbstractThe purpose of this study is the pyrolysis of the distilled fractions obtained in the coking process as such and hydrotreated with the aim of diversifying the feedstock used in pyrolysis. The application of hydrotreating followed by pyrolysis, determines the reduction of the aromatic and olefinic hydrocarbons content in the feedstock, which leads to the improvement of the distribution of the reaction products and the decrease in the level of coke deposits, compared to the pyrolysis of non-hydrotreated distillate fractions. This study also aims to calculate the kinetic parameters of the pyrolysis process for non-hydrotreated and hydrotreated coking fraction at three equivalent temperatures: T = 680 °C, T = 695 °C, T = 705 °C.
Graphical abstract
Die Rolle von Photorespiration unter dynamischen Lichtbedingungen
Authors: von Bismarck Thekla , Wendering Philipp 
Published: June 2024

AbstractPlants use photosynthesis to convert light into metabolic energy. This energy is used to produce carbohydrates and to fuel other metabolic pathways. In nature, the availability of light and thereby metabolic energy can fluctuate strongly, leading to inefficient metabolism and photodamage. The photorespiratory pathway (PR) was hypothesized to mitigate harmful effects. Our results do not support this but identify an alternative branch of PR in silico that may benefit the plant under fluctuating light.
Structure-based prediction of protein-nucleic acid binding using graph neural networks
Authors: Sagendorf Jared M. , Mitra Raktim , Huang Jiawei , Chen Xiaojiang S. , Rohs Remo 
Published: June 2024

AbstractProtein-nucleic acid (PNA) binding plays critical roles in the transcription, translation, regulation, and three-dimensional organization of the genome. Structural models of proteins bound to nucleic acids (NA) provide insights into the chemical, electrostatic, and geometric properties of the protein structure that give rise to NA binding but are scarce relative to models of unbound proteins. We developed a deep learning approach for predicting PNA binding given the unbound structure of a protein that we call PNAbind. Our method utilizes graph neural networks to encode the spatial distribution of physicochemical and geometric properties of protein structures that are predictive of NA binding. Using global physicochemical encodings, our models predict the overall binding function of a protein, and using local encodings, they predict the location of individual NA binding residues. Our models can discriminate between specificity for DNA or RNA binding, and we show that predictions made on computationally derived protein structures can be used to gain mechanistic understanding of chemical and structural features that determine NA recognition. Binding site predictions were validated against benchmark datasets, achieving AUROC scores in the range of 0.92–0.95. We applied our models to the HIV-1 restriction factor APOBEC3G and showed that our model predictions are consistent with and help explain experimental RNA binding data.
Adamantinoma: A SEER-based Epidemiological Analysis
Authors: Agner Kevin E. , Larkins Michael C. 
Published: June 2024

AbstractAdamantinoma (AD) is a rare bone cancer accounting for less than 0.1–0.5% of all primary bone tumors. No consensus guidelines exist for the treatment of this disease and long-term (twenty-year) survival has yet to be explored. The Surveillance, Epidemiology, and End Results (SEER) Program was queried for patients with a diagnosis of primary AD (ICD-O-3 code 9261/3). Demographic and treatment variables were analyzed via Fisher’s Exact Test and 20-year overall survival (20y OS) was assessed via log-rank analysis. Seventy-four patients with AD were identified; median age was 20–24 years. Multivariate analysis demonstrated that patients < 25 years of age at diagnosis with AD had increased 20y OS compared to those > 24 years (HR = 0.28; p = 0.028), while no other variables influenced survival. Subanalysis demonstrated patients > 40 years saw decreased survival (46% [11%, 81%]) compared to those ≤ 40 years (96% [89%, 104%]; p = 0.005). Patients ≤ 40 years of age at diagnosis were more likely to have local disease (78% of all 49 local cases) and less likely to have distant disease (0% of two cases) compared to patients > 40 years (p = 0.017). Stratifying by surgical procedure, no difference in 20y OS was appreciated (p = 0.12). Younger age at diagnosis provides mortality benefit and increased proportion of localized disease for those diagnosed with AD. No other demographic or treatment variables were found to influence 20y OS. Population-based analysis of AD is limited both by disease rarity and incomplete coding within SEER.
An artificial intelligence-designed predictive calculator of conversion from minimally invasive to open colectomy in colon cancer
Authors: Emile Sameh Hany , Horesh Nir , Garoufalia Zoe , Gefen Rachel , Rogers Peter , Wexner Steven D. 
Published: June 2024

AbstractMinimally invasive surgery is safe and effective in colorectal cancer. Conversion to open surgery may be associated with adverse effects on treatment outcomes. This study aimed to assess risk factors of conversion from minimally invasive to open colectomy for colon cancer and impact of conversion on short-term and survival outcomes. This case–control study included colon cancer patients undergoing minimally invasive colectomy from the National Cancer Database (2015–2019). Logistic regression analyses were conducted to determine independent predictors of conversion from laparoscopic and robotic colectomy to open surgery. 26,546 patients (mean age: 66.9 ± 13.1 years) were included. Laparoscopic and robotic colectomies were performed in 79.1% and 20.9% of patients, respectively, with a 10.6% conversion rate. Independent predictors of conversion were male sex (OR: 1.19, p = 0.014), left-sided cancer (OR: 1.35, p < 0.001), tumor size (OR: 1, p = 0.047), stage II (OR: 1.25, p = 0.007) and stage III (OR: 1.47, p < 0.001) disease, undifferentiated carcinomas (OR: 1.93, p = 0.002), subtotal (OR: 1.25, p = 0.011) and total (OR: 2.06, p < 0.001) colectomy, resection of contiguous organs (OR: 1.9, p < 0.001), and robotic colectomy (OR: 0.501, p < 0.001). Conversion was associated with higher 30- and 90-day mortality and unplanned readmission, longer hospital stay, and shorter overall survival (59.8 vs 65.3 months, p < 0.001). Male patients, patients with bulky, high-grade, advanced-stage, and left-sided colon cancers, and patients undergoing extended resections are at increased risk of conversion from minimally invasive to open colectomy. The robotic platform was associated with reduced odds of conversion. However, surgeons’ technical skills and criteria for conversion could not be assessed.
Diversity of genome size, endopolyploidy and SCoT markers in 20 Trigonella (Fabaceae) species
Authors: Rewers Monika , Lojko Agnieszka , Olszewska Dorota , Niklas Aleksandra , Jedrzejczyk Iwona 
Published: June 2024

AbstractThe Trigonella species possess medicinal, nutraceutical and pharmaceutical properties due to the presence of many bioactive compounds. Its therapeutic effects are mostly valuable in medicine, cosmetics and the functional food industry. Correct genetic characterisation of plant material is needed to increase the potential of Trigonella species by breeding and conservation programs. The aim of this study was to develop a reliable marker system to support the morphological and phytochemical analysis in Trigonella taxonomic research, species identification and characterization as well as determination of the interspecific variation within this genus along with relationships between species. For this purpose, flow cytometry and SCoT molecular markers were combined. Flow cytometric analyses revealed that Trigonella species possess very small and small genomes. The range of genome sizes was from 1.10 to 5.76 pg/2C, with most species possessing very small genomes (< 2.8 pg/2C). In seeds of 14 species endopolyploid nuclei were detected. Flow cytometric analysis of genome size enabled quick identification of four out of 20 species, while combined with endopolyploidy detection in seeds, facilitated distinction of the next seven species. ScoT molecular markers helped to identify closely related species with similar genome size and cell cycle activity. Therefore, flow cytometry was proposed as the first-choice method for quick accession screening, while the more detailed genetic classification was obtained using SCoT molecular markers.
Thermomechanical Response of Smart Magneto-Electro-Elastic FGM Nanosensor Beams with Intended Porosity
Authors: Pehlivan Fatih , Esen Ismail , Aktas Kerim Gokhan 
Published: June 2024

Abstract
This study investigates the behavior of free vibrations in a variety of porous functionally graded nanobeams composed of ferroelectric barium-titanate (BaTiO3) and magnetostrictive cobalt-ferrite (CoFe2O4). There are four different models of porous nanobeams: the uniform porosity model (UPM), the symmetric porosity model (SPM), the porosity concentrated in the bottom region model (BPM), and the porosity concentrated in the top region model (TPM). The nanobeam constitutive equation calculates strains based on various factors, including classical mechanical stress, thermal expansion, magnetostrictive and electroelastic properties, and nonlocal elasticity. The study investigated the effects of various factors on the free vibration of nanobeams, including thermal stress, thermo-magneto-electroelastic coupling, electric and magnetic field potential, nonlocal features, porosity models, and changes in porosity volume. The temperature-dependent mechanical properties of BaTiO3 and CoFe2O4 have been recently explored in the literature for the first time. The dynamics of nanosensor beams are greatly influenced by temperature-dependent characteristics. As the ratios of CoFe2O4 and BaTiO3 in the nanobeam decrease, the dimensionless frequencies decrease and increase, respectively, based on the material grading index. The dimensionless frequencies were influenced by the nonlocal parameter, external electric potential, and temperature, causing them to rise. On the other hand, the slenderness ratio and external magnetic potential caused the frequencies to drop. The porosity volume ratio has different effects on frequencies depending on the porosity model.
Microstructural Investigation of Discarded NdFeB Magnets After Low-Temperature Hydrogenation
Authors: Habibzadeh Alireza , Kucuker Mehmet Ali , Çakır Öznur , Gökelma Mertol 
Published: June 2024

AbstractDue to continuously increasing demand and limited resources of rare-earth elements (REEs), new solutions are being sought to overcome the supply risk of REEs. To mitigate the supply risk of REEs, much attention has recently been paid to recycling. Despite the more common recycling methods, including hydrometallurgical and pyrometallurgical processes, hydrogen processing of magnetic scrap (HPMS) is still in the development stage. Magnet-to-magnet recycling via hydrogenation of discarded NdFeB magnets provides a fine powder suitable for the production of new magnets from secondary sources. One of the crucial aspects of HPMS is the degree of recovery of the magnetic properties, as the yield efficiency can easily reach over 95%. The amount, morphology, and distribution of the Nd-rich phase are the key parameters to achieve the excellent performance of the magnet by isolating the matrix grain. Therefore, a better insight into the microstructure of the matrix grains and the Nd-rich phase before and after hydrogenation is essential. In this study, a low-temperature hydrogenation process in the range of room temperature to 400 °C was conducted as the first step to recycle NdFeB magnets from discarded hard disk drives (HDDs), and the hydrogenated powder was characterized by electron microscopy and X-ray diffraction. The results show that there are three different morphologies of the Nd-rich phase, which undergo two different transformations through oxidation and hydride formation. While at lower temperatures (below 250 °C) the degree of pulverization is higher and the experimental evidence of hydride formation is less clear, at higher temperatures the degree of pulverization decreases. The formation of neodymium hydride at higher temperatures prevents further oxidation of the Nd-rich phase due to its high stability.
Graphical Abstract
Regularity of a double null coordinate system for Kerr–Newman–de Sitter spacetimes
Authors: Franzen Anne T. , Girão Pedro M. 
Published: June 2024

AbstractWe construct a double null coordinate system $$(u,v,\theta _\star ,\phi _\star )$$

(
u
,
v
,

θ
⋆

,

ϕ
⋆

)

for Kerr–Newman–de Sitter black hole interior spacetimes and prove that the two dimensional spheres given by the intersection of the hypersurfaces $$u=\hbox {constant}$$

u
=
constant

and $$v=\hbox {constant}$$

v
=
constant

are $$C^\infty$$

C
∞

in Boyer–Lindquist coordinates (including at the “poles"). The null coordinates allow one to immediately extend some results previously proven for Kerr. As an example, we illustrate how Sbierski’s result in (On the initial value problem in general relativity and wave propagation in black-hole spacetimes. Doctoral thesis, 2014. https://doi.org/10.17863/CAM.16140), for the wave equation on the black hole interior, for Reissner–Nordström and Kerr spacetimes, applies to Kerr–Newman–de Sitter spacetimes.