bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automated recognition of epilepsy from EEG signals using a combining space–time algorithm of CNN-LSTM
Authors: Wang Xiashuang , Wang Yinglei , Liu Dunwei , Wang Ying , Wang Zhengjun 
Published: September 2023

AbstractIntelligent recognition methods for classifying non-stationary and non-invasive epileptic diagnoses are essential tools in neurological research. Electroencephalogram (EEG) signals exhibit better temporal characteristics in the detection of epilepsy compared to radiation medical images like computed tomography (CT) and magnetic resonance imaging (MRI), as they provide real-time insights into the disease’ condition. While classical machine learning methods have been used for epilepsy EEG classification, they still often require manual parameter adjustments. Previous studies primarily focused on binary epilepsy recognition (epilepsy vs. healthy subjects) rather than as ternary status recognition (continuous epilepsy vs. intermittent epilepsy vs. healthy subjects). In this study, we propose a novel deep learning method that combines a convolution neural network (CNN) with a long short-term memory (LSTM) network for multi-class classification including both binary and ternary tasks, using a publicly available benchmark database on epilepsy EEGs. The hybrid CNN-LSTM automatically acquires knowledge without the need for extra pre-processing or manual intervention. Besides, the joint network method benefits from memory function and stronger feature extraction ability. Our proposed hybrid CNN-LSTM achieves state-of-the-art performance in ternary classification, outperforming classical machine learning and the latest deep learning models. For the three-class classification, in the method achieves an accuracy, specificity, sensitivity, and ROC of 98%, 97.4, 98.3% and 96.8%, respectively. In binary classification, the method achieves better results, with ACC of 100%, 100%, and 99.8%, respectively. Our dual stream spatiotemporal hybrid network demonstrates superior performance compared to other methods. Notably, it eliminates the need for manual operations, making it more efficient for doctors to diagnose during the clinical process and alleviating the workload of neurologists.
The evaluation of five serological assays in determining seroconversion to peste des petits ruminants virus in typical and atypical hosts
Authors: Tully Matthew , Batten Carrie , Ashby Martin , Mahapatra Mana , Parekh Krupali , Parida Satya , Njeumi Felix , Willett Brian , Bataille Arnaud , Libeau Genevieve , Kwiatek Olivier , Caron Alexandre , Berguido Francisco J. , Lamien Charles E. , Cattoli Giovanni , Misinzo Gerald , Keyyu Julius , Mdetele Daniel , Gakuya Francis , Bodjo Sanne Charles , Taha Fatima Abdelazeem , Elbashier Husna Mohamed , Khalafalla Abdelmalik Ibrahim , Osman Abdinasir Y. , Kock Richard 
Published: September 2023

AbstractPeste des petits ruminants (PPR) is an infectious viral disease, primarily of small ruminants such as sheep and goats, but is also known to infect a wide range of wild and domestic Artiodactyls including African buffalo, gazelle, saiga and camels. The livestock-wildlife interface, where free-ranging animals can interact with captive flocks, is the subject of scrutiny as its role in the maintenance and spread of PPR virus (PPRV) is poorly understood. As seroconversion to PPRV indicates previous infection and/or vaccination, the availability of validated serological tools for use in both typical (sheep and goat) and atypical species is essential to support future disease surveillance and control strategies. The virus neutralisation test (VNT) and enzyme-linked immunosorbent assay (ELISA) have been validated using sera from typical host species. Still, the performance of these assays in detecting antibodies from atypical species remains unclear. We examined a large panel of sera (n = 793) from a range of species from multiple countries (sourced 2015–2022) using three tests: VNT, ID VET N-ELISA and AU-PANVAC H-ELISA. A sub-panel (n = 30) was also distributed to two laboratories and tested using the luciferase immunoprecipitation system (LIPS) and a pseudotyped virus neutralisation assay (PVNA). We demonstrate a 75.0–88.0% agreement of positive results for detecting PPRV antibodies in sera from typical species between the VNT and commercial ELISAs, however this decreased to 44.4–62.3% in sera from atypical species, with an inter-species variation. The LIPS and PVNA strongly correlate with the VNT and ELISAs for typical species but vary when testing sera from atypical species.
Photon-counting computed tomography of coronary and peripheral artery stents: a phantom study
Authors: Stein Thomas , Taron Jana , Verloh Niklas , Doppler Michael , Rau Alexander , Hagar Muhammad Taha , Faby Sebastian , Baltas Dimos , Westermann Dirk , Ayx Isabelle , Schönberg Stefan O. , Nikolaou Konstantin , Schlett Christopher L. , Bamberg Fabian , Weiss Jakob 
Published: September 2023

AbstractAccurate small vessel stent visualization using CT remains challenging. Photon-counting CT (PCD-CT) may help to overcome this issue. We systematically investigate PCD-CT impact on small vessel stent assessment compared to energy-integrating-CT (EID). 12 water-contrast agent filled stents (3.0–8 mm) were scanned with patient-equivalent phantom using clinical PCD-CT and EID-CT. Images were reconstructed using dedicated vascular kernels. Subjective image quality was evaluated by 5 radiologists independently (5-point Likert-scale; 5 = excellent). Objective image quality was evaluated by calculating multi-row intensity profiles including edge rise slope (ERS) and coefficient-of-variation (CV). Highest overall reading scores were found for PCD-CT-Bv56 (3.6[3.3–4.3]). In pairwise comparison, differences were significant for PCD-CT-Bv56 vs. EID-CT-Bv40 (p ≤ 0.04), for sharpness and blooming respectively (all p < 0.05). Highest diagnostic confidence was found for PCD-CT-Bv56 (p ≤ 0.2). ANOVA revealed a significant effect of kernel strength on ERS (p < 0.001). CV decreased with stronger PCD-CT kernels, reaching its lowest in PCD-CT-Bv56 and highest in EID-CT reconstruction (p ≤ 0.05). We are the first study to verify, by phantom setup adapted to real patient settings, PCD-CT with a sharp vascular kernel provides the most favorable image quality for small vessel stent imaging. PCD-CT may reduce the number of invasive coronary angiograms, however, more studies needed to apply our results in clinical practice.
Lipid metabolism transcriptomics of murine microglia in Alzheimer’s disease and neuroinflammation
Authors: Shippy Daniel C. , Ulland Tyler K. 
Published: September 2023

AbstractAlzheimer’s disease (AD) is a neurodegenerative disorder characterized by the accumulation of amyloid-β (Aβ) plaques followed by intracellular neurofibrillary tangles (NFTs) composed of hyperphosphorylated tau. An unrestrained immune response by microglia, the resident cells of the central nervous system (CNS), leads to neuroinflammation which can amplify AD pathology. AD pathology is also driven by metabolic dysfunction with strong correlations between dementia and metabolic disorders such as diabetes, hypercholesterolemia, and hypertriglyceridemia. Since elevated cholesterol and triglyceride levels appear to be a major risk factor for developing AD, we investigated the lipid metabolism transcriptome in an AD versus non-AD state using RNA-sequencing (RNA-seq) and microarray datasets from N9 cells and murine microglia. We identified 52 differentially expressed genes (DEG) linked to lipid metabolism in LPS-stimulated N9 microglia versus unstimulated control cells using RNA-seq, 86 lipid metabolism DEG in 5XFAD versus wild-type mice by microarray, with 16 DEG common between both datasets. Functional enrichment and network analyses identified several biological processes and molecular functions, such as cholesterol homeostasis, insulin signaling, and triglyceride metabolism. Furthermore, therapeutic drugs targeting lipid metabolism DEG found in our study were identified. Focusing on drugs that target genes associated with lipid metabolism and neuroinflammation could provide new targets for AD drug development.
The use of immunoaffinity purification approaches coupled with LC-MS/MS offers a powerful strategy to identify protein complexes in filamentous fungi
Authors: Bauer Ingo , Sarikaya Bayram Özlem , Bayram Özgür 
Published: September 2023

Abstract
Fungi are a diverse group of organisms that can be both beneficial and harmful to mankind. They have advantages such as producing food processing enzymes and antibiotics, but they can also be pathogens and produce mycotoxins that contaminate food. Over the past two decades, there have been significant advancements in methods for studying fungal molecular biology. These advancements have led to important discoveries in fungal development, physiology, pathogenicity, biotechnology, and natural product research. Protein complexes and protein–protein interactions (PPIs) play crucial roles in fungal biology. Various methods, including yeast two-hybrid (Y2H) and bimolecular fluorescence complementation (BiFC), are used to investigate PPIs. However, affinity-based PPI methods like co-immunoprecipitation (Co-IP) are highly preferred because they represent the natural conditions of PPIs. In recent years, the integration of liquid chromatography coupled with mass spectrometry (LC-MS/MS) has been used to analyse Co-IPs, leading to the discovery of important protein complexes in filamentous fungi. In this review, we discuss the tandem affinity purification (TAP) method and single affinity purification methods such as GFP, HA, FLAG, and MYC tag purifications. These techniques are used to identify PPIs and protein complexes in filamentous fungi. Additionally, we compare the efficiency, time requirements, and material usage of Sepharose™ and magnetic-based purification systems. Overall, the advancements in fungal molecular biology techniques have provided valuable insights into the complex interactions and functions of proteins in fungi. The methods discussed in this review offer powerful tools for studying fungal biology and will contribute to further discoveries in this field.
Establishing Normative Values for Healthy Term Infant Feeding Performance: Neonatal Eating Assessment Tool-Mixed, Oral Feeding Scale, and Early Feeding Skills Assessment
Authors: McGrattan Katlyn Elizabeth , Mohr Alicia Hofelich , Weikle Ellen , Hernandez Kayla , Walsh Katie , Park Jinhee , Ramel Sara E. , Georgieff Michael K. , Dietz Kelly , Dahlstrom Kyle , Lindsay John , Thoyre Suzanne 
Published: September 2023

Purpose:
Infants with perceived feeding problems are frequently referred for assessment of their feeding abilities. However, little is known regarding how healthy nondysphagic infants perform on commonly used assessments, making determination of impairment difficult. The aim of this investigation was to elucidate the characteristics of healthy term infant feeding performance using three commonly employed clinical assessments: Neonatal Eating Assessment Tool-Mixed (NeoEat-Mixed), Oral Feeding Scale, and Early Feeding Skills (EFS).

Method:
In this prospective case–control study, we recruited 30 infants without feeding impairments to undergo video-monitored bottle feeds under their normal feeding conditions. Caregiver perception of infant feeding was evaluated using the NeoEat-Mixed. Milk ingestion was monitored real time using the Oral Feeding Scale for rate of milk transfer and modified proficiency as characterized by the total volume consumed out of the total volume the caregiver provided. Videos were analyzed by two speech pathologists using the EFS assessment. Descriptive statistics were used to characterize performance.

Results:

Participants underwent feeding monitoring at an average chronological age of 4 ± 2 months. Caregivers primarily reported normal, nonconcerning feeding patterns across all of the NeoEAT-Mixed outcomes. Infants consumed milk at an average rate of transfer of 7 ± 3 ml/min, a modified proficiency of 50 ± 21%, and achieved the highest OFS score of 4 (93%,
n
= 28). The majority of infants scored the best EFS score (mature-3) as it related to the absence of color changes during the feed (97%,
n
= 29), although commonly scored in the worst EFS score (immature-1) in their presentation of one or more compelling stress cues (63%,
n
= 19).

Conclusion:
Establishing healthy term infant normative values for commonly used feeding assessments is critical in accurately distinguishing infants with feeding impairments from those with normal developmental variants.
Variance state propagation for uplink channel estimation in LEO satellite systems
Authors: Lei Xiaoyong , Zhang Mingchen , Liu Yilun , Zhang Yong 
Published: September 2023

AbstractThis paper, considers the channel estimation problem of the uplink low Earth orbit (LEO) satellite orthogonal frequency division multiplexing (OFDM) system. By exploiting the channel structured sparsity in the delay‐Doppler‐angle domain, the channel estimation problem is formulated as a block‐sparse signal recovery problem. The variance state propagation (VSP) framework is extended to solve such a problem. Considering that the delay, Doppler shift, and angle of departure (AoD) of each propagation path may not exactly fall on the presumed discrete grid points, an expectation maximization (EM) based parameter learning scheme in VSP to iteratively update the grid parameters is introduced. Simulation results demonstrate that the proposed approach achieves a substantial performance gain over the existing methods.
Analyses on an electronic voltage transformer's failure by its resonance with very fast transient overvoltage and suppression
Authors: Zhu Houda , Chen Qing , Li Hongbin , Tong Yue , Han Linshan , Jiao Yang 
Published: September 2023

AbstractAs voltage measuring devices are widely used in the high voltage power system with a primary‐secondary‐fusion structure, electronic voltage transformers are directly connected to the primary conductor and would face much more serious electromagnetic environments than general secondary equipment. As a result, they would still experience failures even when general protection measures are adopted to suppress overvoltages' amplitudes. To address this issue, an innovative method is proposed after analyses are conducted on the resonance between a transformer and an overvoltage. Within this method, an air‐cored coil is installed in a transformer to artificially shift its natural frequency and to dodge the high‐frequency dominant component of a transient overvoltage, avoiding the aforementioned resonance and suppressing the secondary overvoltage. In addition, simulations and laboratory tests are conducted to prove this method's validity.
A weighted local‐spherical grid based lightweight descriptor for 3D point cloud registration
Authors: Che Shou‐Quan , Bao Cong‐Wang , Lu Jian‐Feng 
Published: September 2023

AbstractEstablishing effective feature descriptors is a crucial step in 3D point cloud registration task. Existing manual‐based methods are noise‐susceptible and time‐consuming when running on low‐cost edge computing devices. To this end, the authors proposed a Local Reference Frame (LRF) based approach that can quickly and robustly register point clouds by using a novel lightweight local‐spherical grid weighted descriptor (LSGWD). Firstly, the LRF of the proposed algorithm is established by the covariance matrix eigenvector of KeyPoint's spherical support set and the centroid vector's projection on its orthogonal plane. Then the spherical support is grided to 32 bins, and the 4D geometric features of each subset are constructed by the centroid moment and the cosine value of the angles between the centroid vector and axes of LRF. Secondly, to restrain the insufficient discriminative information presented in the purely geometric features, the Gaussian projection and gradient mapping are proposed to calculate the smooth density and the correlation of structural characteristics, which are obtained as the distribution information of each bin to weigh the feature representation. Finally, the 32 × 4‐dimensional KeyPoint descriptor is obtained and used in the 3D point cloud registration framework. Experiments are carried out on three test datasets and real scene data. Compared to previous baselines, our descriptor achieves the state‐of‐the‐art performance in terms of efficiency and accuracy owing to its compact structure and noise robustness. The proposed method enhances the recognition and registration performance of 3D point cloud matching in low‐cost edge computing applications.
The Medical Informatics Initiative and the Network University Medicine - Perspectives for Nuclear Medicine
Authors: Miederer Isabelle , Rogasch Julian Manuel Michael , Fischer Regina , Fuchs Timo , Lapa Constantin , Lohmann Philipp , Shi Kuangyu , Tran-Gia Johannes , Wendler Thomas , Hellwig Dirk 
Published: September 2023

AbstractDigitization in the healthcare sector and the support of clinical workflows with
artificial intelligence (AI), including AI-supported image analysis, represent a great
challenge and equally a promising perspective for preclinical and clinical nuclear medicine.
In Germany, the Medical Informatics Initiative (MII) and the Network University Medicine (NUM)
are of central importance for this transformation. This review article outlines these
structures and highlights their future role in enabling privacy-preserving federated
multi-center analyses with interoperable data structures harmonized between site-specific IT
infrastructures. The newly founded working group “Digitization and AI” in the German Society
of Nuclear Medicine (DGN) as well as the Fach- und Organspezifische Arbeitsgruppe (FOSA,
specialty- and organ-specific working group) founded for the field of nuclear medicine (FOSA
Nuklearmedizin) within the NUM aim to initiate and coordinate measures in the context of
digital medicine and (image-)data-driven analyses for the DGN.
Gelenkkontrakturen behandeln
Authors: Schomacher Jochen 
Published: September 2023

ZusammenfassungDie Behandlung einer Gelenkkontraktur ist spezifisch, während bei sogenannten funktionellen Bewegungseinschränkungen auch unspezifische Bewegungen und Wärme helfen. Daher müssen wir klar erkennen, wann eine solche Gelenkkontraktur vorliegt. Es gilt, die geeignete Behandlungsform zu finden.
A solid-state semiconductor battery with silica-coated TiO2 core–shell energy storage nanoparticles for rechargeable device application
Authors: Wang Min-Chuan , Wu Bo-Hsien , Liu Shang-En , Li Yu-Chen , Lin Shih-Kai , Tsai Tsung-Ming , Chang Ting-Chang 
Published: September 2023

A solid-state semiconductor battery with the n-type WO3/silica-coated TiO2 core–shell nanoparticles/p-type NiO laminated structure for the rechargeable device has been developed. The electricity storage layer comprises poly-acrylonitrile mixed with core–shell nanoparticles containing n-type TiO2 particles coated with an insulating SiO2 shell. The average diameter size of nanoparticles was determined from 20 to 50 nm by a high-resolution transmission electron microscope and the relative atomic weight percentage of the Si on the coated TiO2 nanoparticles had been qualitatively determined by the energy dispersive spectrometer. The silica-coated TiO2 nanoparticles in the composite were assigned to the mixed phases of Anatase and Rutile by XRD analysis. Furthermore, photoluminescence analysis has verified the energy levels present in the bandgap of the silica-coated TiO2 core–shell nanoparticles. The device exhibits a constant-current discharge capacity of 0.16 mA h at a discharge voltage of 2.46 V. The energy density of the charging layer has been estimated to 12.3 Wh/kg. Finally, a mechanism of the solid-state semiconductor battery has also been proposed.
Rare yet everywhere: phylogenetic position of the enigmatic deep-sea shrimp Physetocaris microphthalma Chace, 1940 (Decapoda, Caridea)
Authors: Peres Pedro A. , Bracken-Grissom Heather 
Published: September 2023

The mysterious deep-sea shrimp Physetocaris microphthalma Chace, 1940 remains a challenge for the understanding of caridean shrimp systematics. Upon first description in 1940, the unique morphology in combination with lack of material made the allocation of P. microphthalma to any family or superfamily difficult, therefore the monotypic superfamily Physetocaridoidea and family Physetocarididae were described. The rarity of the species, only documented a few times in scientific literature, in combination with a circumglobal distribution, makes the advancement of the systematics and biology of this shrimp challenging. Current literature places Physetocaridoidea as a superfamily with a sister relationship to Pandaloidea but this relationship has never been tested using molecular data. Recent expeditions to the northern Gulf of Mexico and north-eastern Pacific Ocean provided fresh material for inclusion in phylogenetic analyses. Here, we used a molecular systematics approach to investigate the phylogenetic placement of this species within the infraorder Caridea and test for cryptic diversity across oceanic basins. We sequenced five genes (12S rRNA, 16S rRNA, H3, NaK and PEPCK) and built phylogenetic trees including specimens across Pandaloidea and other carideans (n = 75) using maximum-likelihood and Bayesian approaches. Our results strongly support the inclusion of P. microphthalma within the family Pandalidae and superfamily Pandaloidea, indicating that the superfamily Physetocaridoidea and family Physetocaridae are not valid. In addition, the inclusion of specimens from the Atlantic and Pacific Oceans does not support evidence of cryptic diversity, suggesting the global distribution of P. microphthalma. This is the first study to provide genetic data for this species, resulting in an updated classification for the infraorder Caridea and highlighting that deep-pelagic species can be rare yet still widely distributed.
Semiclassical calculation of the pendulum period
Authors: Douvropoulos Theodosios Geo 
Published: September 2023

Abstract
In this paper, we calculate the swing period of the classical pendulum via semiclassical path-integration. We point out the significance of the classical periodic orbits and the equivalence of pendulum’s classical isochronism to the equidistance of the quantum energy levels. We derive the swing period in terms of the semiclassical tunneling time and the fractional revival period. A possible definition of a critical value for the quantum ‘bounce time’ is proposed. This paper intends for graduate students as an illustrating example of applying quantum mechanics to a classical system. It offers valuable insight into some characteristics that the classical and quantum pendulum possess in common. It also intends for a specialist in quantum chemistry where the quantum pendulum dynamics appears in what is known as hindered rotation about some chemical bonds.
Vacuum UV studies of protonated serine clusters
Authors: Licht Ori , Nihamkin Maria , Anaby Mirit , Rousseau Patrick , Giuliani Alexandre , Milosavljević Aleksandar R , Singh Raj , Nguyen Vy T T , Nahon Laurent , Toker Yoni 
Published: September 2023

Abstract
In a recent work, we have shown that photon absorption can cause a chemical bond to be created between the two monomers within a protonated serine dimer, a process known as intra-cluster bond formation, despite this process not occurring following thermal excitation via low energy collision-induced dissociation (LE-CID). Here we show further evidence for non-statistical photon-induced dissociation (PID) of the protonated serine dimer. In addition we discuss LE-CID and PID studies of the protonated serine octamer, showing that in this case as well, PID leads to non-statistical fragmentation and to the formation of two bonds between three neighboring monomers.