bluuebunny/crossref_metadata_2025_split huggingface dataset:
Axion-assisted Resonance Oscillation Rescues the Dodelson-Widrow Mechanism
Authors: Guo Shu-Yuan , Liu Xuewen , Zhu Bin 
Published: October 2022

Abstract

Note: Please see pdf for full abstract with equations.
The keV scale sterile neutrino was a qualified candidate for dark matter particles in the Dodelson-Widrow mechanism. But the mixing angle, needed to provide enough amount of dark matter, is in contradiction with the astrophysical observations. To alleviate such tension, we introduce an effective interaction, i.e. ga(φ/Λ)∂μaναγμ γ5να, among Standard Model neutrino να, axion a, and singlet φ. The axial-vector interaction form is determined by the axion shift symmetry, and the singlet φ with dynamically varied vacuum expectation value is introduced to reinforce the axial-vector coupling strength and evade the stringent neutrino oscillation constraints. The effective potential generated by the new interaction could cancel the SM counterpart, resulting in an enhanced converting probability between SM neutrino and sterile neutrino. Hence, the production rate of sterile neutrinos can be substantially enlarged with smaller mixing compared to the DW mechanism.
The stereoselective metabolic disruption of cypermethrin by a sub-acute study based on metabolomics
Authors: Gu Sijia , Zhang Quan , Gu Jinping , Wang Cui , Chu Mengjie , Li Jing , Mo Xunjie 
Published: October 2022

Abstract
Due to the massive application of cypermethrins (CYPs) for pest control in China, the adverse effects on non-target organisms have aroused great attention. However, comparative studies between its different stereoisomers remain scarce, especially for metabolism perturbations. Herein, the rats were administered α-CYP, β-CYP and θ-CYP by gavage at doses of 8.5, 29.2 and 25.0 mg/kg, respectively, for 28 consecutive days. By blood examination, significant changes in liver and renal function parameters were observed in rats exposed to all three CYPs. The stereoisomeric selectivity in metabolism was assessed based on a metabolomic strategy via principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA) and pathway analysis. The results demonstrated that amino acid and glycolipid metabolism were disrupted in all CYP groups. Among them, the most significant changes in the metabolic phenotype were observed in the θ-CYP group, with 56 differential metabolites enriched in 9 differential metabolic pathways. Perturbations in the alpha-linolenic acid metabolism associated with inflammation occurred only in the θ-CYP group of rats. At the same time, the endogenous metabolite trimethylamine oxide (TMAO), which is closely linked to the gut microbiota, was also significantly elevated in this group. Gender differences were evident in α- and θ-CYP-exposed rats, with perturbations in amino acid and glucose metabolism of greater concern in females and lipid metabolism of greater concern in males. Overall, β-CYP exhibited a lower risk of metabolic perturbations than α-CYP or θ-CYP, which helps to screen suitable agrochemical products for green agricultural development.
A method for identifying high-frequency steady-state visual evoked potential signals based on ensemble empirical mode decomposition
Authors: Hua jianning , Jiang Xu , Chen ziping , Wen zixiong 
Published: October 2022

Abstract
In brain-computer interface (BCI) systems, the accurate identification of steady-state visual evoked potentials (SSVEP) is crucial in fields such as biomedicine, and various artifacts affect the identification accuracy making the signals difficult to identify. To identify steady-state visual evoked potentials, analysis is generally performed in the frequency domain to characterize the periodicity of the signal, more specifically, spectral analysis is required to characterize the distribution of electroencephalogram (EEG) signal power along the frequency. The high-frequency SSVEP has advantages such as less ocular stimulation for the subject but is difficult to identify. A method based on ensemble empirical modal decomposition (EEMD) is proposed to address the difficulty of identifying high-frequency steady-state visual evoked potentials. Decompose the three-channel data of Oz, O1 and O2 obtained from the experiment, perform spectrum analysis on the intrinsic mode function obtained by the decomposition, and select some effective intrinsic mode functions according to the obtained spectrogram and recombine them into new signals to replace the original signal. The multivariate simultaneous exponential (MSI) algorithm combined with the ensemble empirical modal decomposition was used to classify the reconstituted obtained signals, and the EEMD-MSI algorithm obtained better results compared with the direct classification method using the MSI algorithm.The average accuracy of the EEMD-MSI algorithm was improved by 9.957% and 16.424% compared with the MSI algorithm under the 3s and 4s time windows, respectively, and the highest accuracy reached 74.97%, 92.12%, respectively.
A lipidome landscape of aging in mice
Authors: Tsugawa Hiroshi , Ishihara Tomoaki , Ogasa Kota , Iwanami Seigo , Hori Aya , Takahashi Mikiko , Yamada Yutaka , Minoda Aki , Arita Makoto 
Published: October 2022

Abstract
Understanding the molecular mechanisms associated with aging is important to improve the longevity of healthy individuals. Herein, we performed untargeted lipidomics to elucidate the relationship between aging and lipid metabolism in 13 mouse tissues at various life stages (2, 12, 19, and 24 months), in which sex and microbiome dependencies (specific pathogen free/germ free) were investigated. By analyzing 2,817 unique molecular profile data of 121 lipid subclasses, we characterized the common and tissue-specific lipidome changes associated with aging. For example, bis(monoacylglycerol)phosphate containing polyunsaturated fatty acids was enriched in various organs during aging, while other phospholipids containing saturated and monounsaturated fatty acids were decreased. In addition, we discovered an age-dependent increase of sulfonolipid (SL), which is biosynthesized in Alistipes and Odoribacter genera. SL molecules were absent in germ-free mice. Furthermore, the molecules appeared to be translocated from the intestinal lumen to various tissues such as the liver, kidney, and spleen. In the kidney, the associations of glycolipids such as galactosyl ceramides (GalCer), galabinosyl ceramides (Gal2Cer), trihexosyl ceramides (Hex3Cer), and mono and digalactosyl diacylglycerols were found in male mice, in which two lipid classes Gal2Cer and Hex3Cer were significantly enriched in aged mice. Integrated analysis of the kidney transcriptome revealed uridine diphosphate galactosyltransferase UGT8a, alkylglycerone phosphate synthase, and fatty acyl-CoA reductase 1 as potential enzymes responsible for male-specific glycolipid biosynthesis in vivo, which would be relevant to sex dependency in kidney diseases. Our lipidome results will become an important resource, led to the understanding of the molecular mechanisms underlying cellular senescence and age-related diseases.
Unraveling the biological potential of chicken viscera proteins: a study based on their enzymatic hydrolysis to obtain antioxidant peptides
Authors: Amaral Yuri M. S. , De Castro Ruann Janser Soares 
Published: October 2022

Abstract
The production of chicken meat has been growing over the years, with a proportional increase in waste generation. Since it is a residue rich in protein, hydrolysis through proteases can provide technological and biological improvements in this substrate offering new opportunities for exploration by the industries. Therefore, this work aimed to study the enzymatic hydrolysis of proteins from chicken viscera and to characterize the hydrolysates in terms of their antioxidant properties and molecular weight distribution. Additionally, hydrolysate production was scaled-up from 125 mL flasks with 50 mL of protein solution to 3 L using a 6 L bioreactor. The enzymatic hydrolysis of chicken viscera proteins using a binary mixture of proteases (Alcalase™ 2.4L and Flavourzyme™ 500L) resulted in an increase of up to 245% for ABTS, 353% for DPPH, 69% for FRAP and 145.95% for total reducing capacity (TRC). The antioxidant properties of the protein hydrolysates are preserved during the scale up of enzymatic hydrolysis. Protein fractions smaller than 5 kDa showed the highest ABTS and DPPH radical scavenging activities, while fractions with molecular weights greater than 30 kDa showed the best results for the FRAP method. Enzymatic hydrolysis proved to be an efficient strategy to add value to solid wastes from the poultry industry.
Evaluation of AI model for cephalometriclandmark classification (TG Dental)
Authors: Johannes Tanne , Akhilanand Chaurasia , Joachim Krois , Shankeeth Vinayahalingam , Anahita Haiat , Falk Schwendicke , Motamedian Saeed Reza , Mohammad Behnaz , Hossein Mohammad-Rahimi 
Published: October 2022

Abstract
Purpose: The accuracy of cephalometric landmark identification for malocclusion classification is essential for the diagnosis and treatment planning. The identification of these landmarks is often complex and time consuming for the orthodontists. An AI model for the classification was recently developed. Due to the strict regulation on software systems but few content on AI requirements in this publication the model was investigated under consideration of current regulatory considerations.
Methods: The AI platform of the ITU/WHO is used to allow the assessment of the models of the application. An Audit was performed assessing the development process with regard to medical device regulations, data protection regulation and ethical consideration. Upon that the major task during the development were evaluated such as qualification, annotation procedure and data set attributes.
Results: The AI models were investigated under consideration of technical, clinical, regulatory and ethical consideration. The risk to the health of the patient and user can be considered as low according to the IMDRF definition.
Conclusion: The application is useful to aid the decison and treatment planning for malocclusion classification on lateral cephalograms without cephalometric landmarks. It is comparable with common standards in orthodontic diagnosis.
Streptozotocin-Induced Alzheimer's disease Investigation by One-dimensional Plasmonic Grating Chip
Authors: Kadhim Hussam Jawad , Al-Mumen Haider , Nahi H. H. , Hamidi S. M. 
Published: October 2022

Abstract
Recently, there has been great interest in researching brain insulin resistance because it has been hypothesized that it may play a role in the progression of Alzheimer's disease. Alzheimer’s disease (AD) is brain dementia that contributes to damage to the neuron cells and then patient death. This dementia is ranked as the fifth more dangerous disease in the world. Streptozotocin (STZ) is used to induce Alzheimer’s disease experimentally. STZ is toxic to the pancreatic beta cells and induces insulin resistance. Neuroplasmonin techniques have been used to investigate the ability of STZ on the activity of the cultured neuron cells. Neuroplasmonic is a novel technology that combines nanotechnology and biosensor. This technique has been used to record neuron signals in vivo and in vitro. Also, it has many facilities such as label-free detection, real-time analysis, biological compatibility, small sample, high throughput, and low detection limit. In this paper, we introduce a one-dimensional electro-plasmonic nanograting platform that consists of a straight nanorod of gold embedded in a dielectric layer of polycarbonate. The chip is connected with an externally applied voltage to induce tunable PIT and increase the sensor sensitivity. To evaluate the sensing performance of the electro-plasmonic sensor, this chip was cultured with neuron cells extracted from rats. The first step was to measure the neuron cell activity in a healthy case. The next step was to measure the activity of neuron cells injected with different concentrations of STZ (0.5, 1, 2mM) to induce the formation of Alzheimer’s disease in the cultured neuron cells. The results indicated that the electro-plasmonics sensor had a high sensitivity to the cells' activity and showed good results for the effecting of STZ on the neuron cell’s activities.
Hexanucleotide repeat expansions in C9orf72 alter microglial responses and prevent a coordinated glial reaction in ALS
Authors: Masrori Pegah , Bijnens Baukje , Davie Kristofer , Poovathingal Suresh , Storm Annet , Hersmus Nicole , Fumagalli Laura , Bosch Ludo Van Den , Fiers Mark , Thal Dietmar , Mancuso Renzo , Damme Philip Van 
Published: October 2022

Abstract
Neuroinflammation is an important hallmark in amyotrophic lateral sclerosis (ALS). Experimental evidence has highlighted a role of microglia in the modulation of motor neuron degeneration. However, the exact contribution of microglia to both sporadic and genetic forms of ALS is still unclear. We generated single nuclei profiles of spinal cord and motor cortex from sporadic and C9orf72 ALS patients, as well as controls. We particularly focused on the transcriptomic responses of both microglia and astrocytes. We confirmed that C9orf72 is highly expressed in microglia and shows a diminished expression in carriers of the hexanucleotide repeat expansion (HRE). This resulted in an impaired response to disease, with specific deficits in phagocytic and lysosomal transcriptional pathways. Astrocytes also displayed a dysregulated response in C9orf72 ALS patients, remaining in a homeostatic state. This suggests that C9orf72 HRE alters a coordinated glial response, which ultimately would increase the risk for developing ALS. Our results indicate that C9orf72 HRE results in a selective microglial loss-of-function, likely impairing microglial-astrocyte communication and preventing a global glial response. This is relevant as it indicates that sporadic and familial forms of ALS may present a different cellular substrate, which is of great importance for patient stratification and treatment.
Hidden neuroaxial pathology is common in idiopathic scoliosis: original research
Authors: Sergeenko Olga , Savin Dmitry , Pozdeyeva Anna , Saifutdinov Marat , Molotkov Yuri , Diachkov Konstantin 
Published: October 2022

Abstract
Purpose
To study incidence of occult neuroaxial pathology (NAP) in patients with presumably idiophatic scoliosis in a largest spinal clinic in the Asian Part of Russia
Methods
We selected 401 patients who came to our clinic with presumably IS: we identified patterns of hidden neuraxial pathology (NAP) and its frequency. In addition to the main part of the study we assessed the reliability of MR-measuring of the pedicles to plan screw width and trajectory.
Results
Among 401 patients 53 (13%) found NAP: the proportion of males at this group was higher (42% vs 21%, p=0.004), the age of onset of the deformity was less (8.9±3.77 vs 9.9±3.93 years old, p=0.045), left-sided thoracic curve met more often (21% vs 8%, p=0.016), thoracic kyphosis was more pronounced (p=0.070) and the percentage of revision surgeries for deformity progression or non-fusion was higher (13% vs 5%, p=0.147).
Conclusions
MRI of the spine should be performed at the early stages of IS, since in some cases of NAP (Chiari, tethered spinal cord) there is the possibility of an early neurosurgical operation that will prevent the development of scoliosis. Main signs of hidden NAP in IS are: early onset IS, IS with left-sided thoracic curve, male gender and thoracic kyphosis > 40°Cobb.
High space-time bandwidth product imaging in low coherence quantitative phase microscopy
Authors: AHMAD AZEEM , GOCŁOWSKI PAWEŁ , DUBEY VISHESH , TRUSIAK MACIEJ , AHLUWALIA BALPREET S. 
Published: October 2022

Abstract

Current low coherence quantitative phase microscopy (LC-QPM) systems suffer from either reduced field of view (FoV) or reduced temporal resolution due to the short temporal coherence (TC) length of the light source. Here, we propose a hybrid, experimental and numerical approach to address this core problem associated with LC-QPM. We demonstrate high spatial resolution and high phase sensitivity in LC-QPM at high temporal resolution. High space-time bandwidth product is achieved by employing incoherent light source for sample illumination in QPM to increase the spatial resolution and single-shot Hilbert spiral transform (HST) based phase recovery algorithm to enhance the temporal resolution without sacrificing spatial resolution during the reconstruction steps. The high spatial phase sensitivity comes by default due to the use of incoherent light source in QPM which has low temporal coherence length and does not generate speckle noise and coherent noise. The spatial resolution obtained from HST is compared with temporal phase shifting (TPS) method on a test specimen and found to be in a good agreement with each other and better than single-shot Fourier transform (FT) based phase recovery method. Contrary to HST method, FT method requires high density fringes for lossless phase recovery, which is difficult to achieve in LC-QPM over entire FoV. Consequently, integration of HST algorithm with LC-QPM system makes an attractive route. Here, we demonstrate scalable FoV and resolution in single-shot LC-QPM and experimentally corroborate it on a test object and on both live and fixed biological specimen such as HeLa and U2OS cells. LC-QPM system with HST reconstruction offer high-speed single-shot QPM imaging at high phase sensitivity and high spatial resolution enabling us to study sub-cellular dynamic inside U2OS for extended duration (3 hours). The experimental results validate the effectiveness of the present approach and will open new avenues in the domain of biomedical imaging in future.
Addressing healthcare practitioner genetic knowledge, attitude and practices in Gauteng, South Africa – preparation for an educational intervention
Authors: Walters Sarah , Aldous Colleen , Malherbe Helen 
Published: October 2022

Abstract
Background
Genetic testing and services are becoming increasingly important in generalised healthcare. Genetic information is now used in the diagnosis and treatment of more common diseases and is no longer restricted to solely rare diseases. General practitioners and other primary healthcare practitioners are often the first port of call when a patient is seeking genetic information. However, many healthcare practitioners lack the appropriate knowledge and skills to assist patients with genetic-related health concerns.
To date, there is no data available on the extent of knowledge, attitudes and behaviours (practices) of healthcare practitioners in the Gauteng province of South Africa. This project aimed to investigate the knowledge, attitude and behaviours towards genetics and genetic testing in healthcare practitioners practising in primary healthcare in the Gauteng province of South Africa.
Methods
A pre-validated questionnaire was adapted and implemented for the local healthcare environment in the private healthcare sector in Gauteng, South Africa. The questionnaire, presented online and in-person, investigated genetic knowledge, behaviours and attitudes towards genetics and genetic testing.
Results
Sixty-one healthcare practitioners responded to the questionnaire, of which 95% were trained at South African medical schools. General practitioners, pathologists, physiotherapists and specialists answered six questionnaire sections. Self-reported genetics knowledge was poor/very poor for 70% of participants. Current genetics knowledge is insufficient to cope with the anticipated demand for genetic information in primary healthcare. Ninety-three percent of respondents displayed appropriate behaviour when faced with genetics scenarios and showed positive attitudes towards providing, and referring to, genetic services. However, access to specific genetic information and resources was limited. Eighty-seven percent of participants expressed an interest in further genetic education linked to continuing professional development points.
Conclusion
Healthcare practitioners are interested in and expressed positive behaviours and attitudes towards genetics and genetic services, but do not yet have sufficient knowledge to cope with the increasing demand for genetic services.
Dual Features Local-Global Attention Model with BERT
Authors: Li Jin , Xia Hongbin , Liu Yuan 
Published: October 2022

Abstract
Aspect-based sentiment analysis (ABSA) and Targeted ABSA (TABSA) allow finer-grained inferences about sentiment to be drawn from the same text, depending on context. For example, a given text can have different targets (e.g., neighborhoods) and different aspects (e.g., price or safety), with different sentiment associated with each target-aspect pair. In this paper, we propose a Dual Features Local-Global Attention model with BERT(DFLGA-BERT). Local and global feature extraction modules are designed to capture the semantic association between aspect words and context fully. The structure of conditional layer normalization (CLN) is used to better integrate local and global features between stages. An improved quasi-attention mechanism is used in DFLGA-BERT, which leads the model to use reduced attention in the fusion of attention to weakening. We experiment on the SentiHood and SemEval 2014 Task 4 datasets, show that the proposed model is significantly better than the current similar models in terms of indicators.
Highly Adaptive and Fast Tetrahedral Mesh Generator for Multi-Compartment Human Head Model with Deep Brain Structures with EEG Application
Authors: Prieto Fernando Galaz , Lahtinen Joonas , Yusuf Yusuf Oluwatoki , Rezaei Atena , Samavaki Maryam , Pursiainen Sampsa 
Published: October 2022

Abstract
Purpose: This paper introduces a highly adaptive and fast approach for generating a finite element (FE) discretization mesh for a given multi-compartment human head model obtained through a magnetic resonance imaging (MRI) dataset. The goal is to create accurate deep brain structures for electroencephalographic (EEG) source localization and applications.
Methods: We present a recursive application of solid angle labeling for surface segmentation with an adaptive scheme, i.e., a set of smoothing, inflation, and optimization tasks to enhance the mesh quality.
Results: The results indicate that our approach can produce a FE mesh with an accuracy greater than 1.0 millimeters, a significant milestone for 3D structure discretization and EEG source localization estimation.
Conclusions: Our method, implemented in the Matlab-based Zeffiro Interface, can manage the labeling aspect remarkably well to achieve human head FE meshes with complex deep brain structures using a time-effective parallel computing system.