bluuebunny/crossref_metadata_2025 huggingface dataset:
Temporal-spatial cross attention network for recognizing imagined characters
Authors: Xu Mingyue , Zhou Wenhui , Shen Xingfa , Qiu Junping , Li Dingrui
Published: July 2024

Previous research has primarily employed deep learning models such as Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs) for decoding imagined character signals. These approaches have treated the temporal and spatial features of the signals in a sequential, parallel, or single-feature manner. However, there has been limited research on the cross-relationships between temporal and spatial features, despite the inherent association between channels and sampling points in Brain-Computer Interface (BCI) signal acquisition, which holds significant information about brain activity. To address the limited research on the relationships between temporal and spatial features, we proposed a Temporal-Spatial Cross-Attention Network model, named TSCA-Net. The TSCA-Net is comprised of four modules: the Temporal Feature (TF), the Spatial Feature (SF), the Temporal-Spatial Cross (TSCross), and the Classifier. The TF combines LSTM and Transformer to extract temporal features from BCI signals, while the SF captures spatial features. The TSCross is introduced to learn the correlations between the temporal and spatial features. The Classifier predicts the label of BCI data based on its characteristics. We validated the TSCA-Net model using publicly available datasets of handwritten characters, which recorded the spiking activity from two micro-electrode arrays (MEAs). The results showed that our proposed TSCA-Net outperformed other comparison models (EEG-Net, EEG-TCNet, S3T, GRU, LSTM, R-Transformer, and ViT) in terms of accuracy, precision, recall, and F1 score, achieving 92.66$$\%$$
%
, 92.77$$\%$$
%
, 92.70$$\%$$
%
, and 92.58$$\%$$
%
, respectively. The TSCA-Net model demonstrated a 3.65$$\%$$
%
to 7.49$$\%$$
%
improvement in accuracy over the comparison models.
Incidence, identification and antibiotic resistance of Salmonella spp. in the well waters of Tadla Plain, Morocco
Authors: Hafiane Fatima Zahra , Tahri Latifa , El Jarmouni Mohamed , Reyad Ahmed M. , Fekhaoui Mohammed , Mohamed Mohamed O. , Abdelrahman Ehab A. , Rizk Samar H. , El-Sayyad Gharieb S. , Elkhatib Walid F.
Published: July 2024

Concerns about challenges with water availability in the Tadla Plain region of Morocco have grown as a result of groundwater contamination brought on by human activity, climate change, and insufficient groundwater management. The objective of the study is to measure the number of resistant bacteria in the groundwater of Beni Moussa and Beni Aamir, as well as to evaluate the level of water pollution in this area. 200 samples were therefore gathered from 43 wells over the course of four seasonal campaigns in 2017 and 2018. Additionally, the samples were examined to determine whether Salmonella species were present and if they were resistant to the 16 antibiotics that were tested. Salmonella spp. have been identified in 31 isolated strains in total, accounting for 18.02% of all isolated strains. Data on antibiotic resistance show that 58.1% of Salmonella spp. strains are multidrug-resistant (MDR); 38.7% of Salmonella strains are tolerant to at least six antibiotics, 19.4% to at least nine antibiotics, 9.7% to four to seven antibiotics, 6.5% to at least eleven antibiotics, and the remaining 3.2% to up to twelve antibiotics. A considerable level of resistance to cefepime (61.29%), imipenem (54.84%), ceftazidime (45.16%), ofloxacin (70.97%), and ertapenem (74.19%) was found in the data. Consequently, it is important to monitor and regulate the growth of MDR in order to prevent the groundwater's quality from declining.
Trajectories and revolutions in popular melody based on U.S. charts from 1950 to 2023
Authors: Hamilton Madeline , Pearce Marcus
Published: July 2024

In the past century, the history of popular music has been analyzed from many different perspectives, with sociologists, musicologists and philosophers all offering distinct narratives characterizing the evolution of popular music. However, quantitative studies on this subject began only in the last decade and focused on features extracted from raw audio, which limits the scope to low-level components of music. The present study investigates the evolution of a more abstract dimension of popular music, specifically melody, using a new dataset of popular melodies spanning from 1950 to 2023. To identify "melodic revolutions", changepoint detection was applied to a multivariate time series comprising features related to the pitch and rhythmic structure of the melodies. Two major revolutions in 1975 and 2000 and one smaller revolution in 1996, characterized by significant decreases in complexity, were located. The revolutions divided the time series into three eras, which were modeled separately with autoregression, linear regression and vector autoregression. Linear regression of autoregression residuals underscored inter-feature relationships, which become stronger in post-2000 melodies. The overriding pattern emerging from these analyses shows decreasing complexity and increasing note density in popular melodies over time, especially since 2000.
A national survey on assessment of knowledge, perceptions, practice, and barriers among hospital pharmacists towards medication reconciliation in United Arab Emirates
Authors: Farajallah Alaa , Zainal Hadzliana , Palaian Subish , Alomar Muaed
Published: July 2024

Medication reconciliation (MedRec) helps prevent medication errors. This cross-sectional, nationwide study assessed the knowledge, perceptions, practice, and barriers toward MedRec amongst hospital pharmacy practitioners in the United Arab Emirates. A total of 342 conveniently chosen stratified hospital pharmacists responded to the online survey (88.6% response rate). Mann–Whitney U test and Kruskal–Wallis test were applied at alpha = 0.05 and post hoc analysis was performed using Bonferroni test. The overall median knowledge score was 9/12 with IQR (9–11) with higher levels among clinical pharmacists (p < 0.001) and previously trained pharmacists (p < 0.001). Of the respondents, 35.09% (n = 120) practiced MedRec for fewer than five patients per week despite having a strong perception of their role in this process. The overall median perception score was 32.5/35 IQR (28–35) with higher scores among clinical pharmacists (p < 0.001) and those who attended previous training or workshops (p < 0.001). The median barrier score was 24/30 with an IQR (21–25), where lack of training and knowledge were the most common barriers. Results showed that pharmacists who did not attend previous training or workshops on MedRec had higher barrier levels than those who attended (p = 0.012). This study emphasizes the significance of tackling knowledge gaps, aligning perceptions with practice, and suggesting educational interventions.
Potential therapeutic biomolecules of hymenopteran venom against SARS-CoV-2 from Egyptian patients
Authors: Abd El Maksoud Eman A. , Rady Magda H. , Mahmoud Ahmed Gad Taha , Hamza Dalia , Seadawy Mohamed G. , Essa Eman. E.
Published: July 2024

The therapeutic potential of insect-derived bioactive molecules as anti-SARS-CoV-2 agents has shown promising results. Hymenopteran venoms, notably from Apis mellifera (honeybee) and Vespa orientalis (oriental wasp), were examined for the first time in an in vitro setting for their potential anti-COVID-19 activity. This assessment utilized an immunodiagnostic system to detect the SARS-CoV-2 nucleocapsid antigen titer reduction. Further analyses, including cytotoxicity assays, plaque reduction assays, and in silico docking-based screening, were performed to evaluate the efficacy of the most potent venom. Results indicated that bee and wasp venoms contain bioactive molecules with potential therapeutic effects against SARS-CoV-2.Nevertheless, the wasp venom exhibited superior efficacy compared to bee venom, achieving a 90% maximal (EC90) concentration effect of antigen depletion at 0.184 mg/mL, in contrast to 2.23 mg/mL for bee venom. The cytotoxicity of the wasp venom was assessed on Vero E6 cells 48 h post-treatment using the MTT assay. The CC 50 of the cell growth was 0.16617 mg/mL for Vero E6 cells. The plaque reduction assay of wasp venom revealed 50% inhibition (IC50) at a 0.208 mg/mL concentration. The viral count at 50% inhibition was 2.5 × 104 PFU/mL compared to the initial viral count of 5 × 104 PFU/mL. In silico data for the wasp venom revealed a strong attraction to binding sites on the ACE2 protein, indicating ideal interactions. This substantiates the potential of wasp venom as a promising viral inhibitor against SARS-CoV-2, suggesting its consideration as a prospective natural preventive and curative antiviral drug. In conclusion, hymenopteran venoms, particularly wasp venom, hold promise as a source of potential therapeutic biomolecules against SARS-CoV-2. More research and clinical trials are needed to evaluate these results and investigate their potential for translation into innovative antiviral therapies.
Pharmacokinetic and molecular docking studies to pyrimidine drug using Mn3O4 nanoparticles to explore potential anti-Alzheimer activity
Authors: Shehab Wesam S. , Haikal Hend A. , Elsayed Doaa A. , EL-Farargy Ahmed F. , El-Gazzar Abdel-Rahman B. A. , El-Bassyouni Gehan T. , Mousa Sahar M.
Published: July 2024

Alzheimer disease (AD) is the cause of dementia and accounts for 60–80% cases. Tumor Necrosis Factor-alpha (TNF-α) is a multifunctional cytokine that provides resistance to infections, inflammation, and cancer. It developed as a prospective therapeutic target against multiple autoimmune and inflammatory disorders. Cholinergic insufficiency is linked to Alzheimer's disease, and several cholinesterase inhibitors have been created to treat it, including naturally produced inhibitors, synthetic analogs, and hybrids. In the current study, we tried to prepared compounds may also support the discovery and development of novel therapeutic and preventative drugs for Alzheimer's using manganese tetroxide nanoparticles (Mn3O4-NPs) as a catalyst to generate compounds with excellent reaction conditions. The Biginelli synthesis yields 4-(4-cyanophenyl)-6-oxo-2-thioxohexahydropyrimidine-5-carbonitrile when the 4-cyanobenzaldehyde, ethyl cyanoacetate, and thiourea were coupled with Mn3O4-NPs to produce compound 1. This multi-component method is non-toxic, safe, and environmentally friendly. The new approach reduced the amount of chemicals used and preserved time. Compound 1 underwent reactions with methyl iodide, acrylonitrile, chloroacetone, ethyl chloroacetate, and chloroacetic acid/benzaldehyde, each of the synthetized compounds was docked with TNF-α converting enzyme. These compounds may also support the discovery and development of novel therapeutic and preventative drugs for Alzheimer's disease. The majority of the produced compounds demonstrated pharmacokinetic features, making them potentially attractive therapeutic candidates for Alzheimer's disease treatment.
A contextual-based approach for sarcasm detection
Authors: Helal Nivin A. , Hassan Ahmed , Badr Nagwa L. , Afify Yasmine M.
Published: July 2024

Sarcasm is a perplexing form of human expression that presents distinct challenges in understanding. The problem of sarcasm detection has centered around analyzing individual utterances in isolation which may not provide a comprehensive understanding of the speaker’s sarcastic intent. Our work addresses this problem by exploring and understanding the specific contextual cues that contribute to sarcasm. In this paper, we propose an enhanced approach for sarcasm detection using contextual features. Our methodology involves employing pre-trained transformer models, RoBERTa and DistilBERT, and fine-tuning them on two datasets: the News Headlines and the Mustard datasets. Incorporating contextual information, the proposed approach yielded the best performance, achieving an impressive F1 score of 99% on News Headlines dataset and 90% on Mustard dataset. Moreover, we experimented summarizing the context into a concise short sentence. This enhancement reduced training time by 35.5% of the original time. We further validated the model trained on the News headlines dataset against the Reddit dataset, which resulted in 49% F1 score without context data. However, with the inclusion of context data, the F1 score surged to 75%. Proposed approach enhances the understanding of sarcasm in different contextual settings, enabling more accurate sentiment analysis and better decision-making in various applications.
Effect of herbal irrigants on surface roughness of intraradicular dentin using quantitative method of 3D surface texture analysis
Authors: Sobhy Sabah M. , Abdelfatah Heba , Elgamily Hanaa M. , Mohammed Nesreen Y.
Published: July 2024

Replacing the conventional endodontic irrigants with herbal agents could avoid complications associated with using sodium hypochlorite (NaOCl). Endodontic irrigants alter the surface roughness of the dentinal wall surface, which affects sealer mechanical retention. This study aimed to assess the effect of experimental herbal Moringa oleifera and orange peel extract irrigant on intraradicular dentin (IRD) surface roughness using quantitative 3D surface analysis by scanning electron microscopy (SEM) regarding the smear layer assessment. Sixty human root sections were divided into four groups (n = 15): NaOCl combined with 17% ethylenediaminetetraacetic acid (EDTA); negative control (saline); moringa extract (MO); and orange oil (OO). SEM images were assessed quantitatively for surface roughness (Ra) in the coronal, middle, and apical IRD. The data were analysed by Kruskal–Wallis, Friedman, and Dunn’s tests. All groups showed statistically significant differences (P = 0.007). MO exhibited significantly greater Ra values at the coronal, middle, and apical root levels than OO (P = 0.007, 0.009, and 0.046, respectively). There was no significant change in Ra values at various root levels within each group at P = 0.091, 0.819, 0.819, and 0.549 for the EDTA, saline, MO, and OO groups. Considerable (IRD) surface roughness analysis makes Moringa extract a promising herbal endodontic irrigant alternative to the NaOCl plus EDTA regimen.
Multicenter validation study for automated left ventricular ejection fraction assessment using a handheld ultrasound with artificial intelligence
Authors: Kagiyama Nobuyuki , Abe Yukio , Kusunose Kenya , Kato Nahoko , Kaneko Tomohiro , Murata Azusa , Ota Mitsuhiko , Shibayama Kentaro , Izumo Masaki , Watanabe Hiroyuki
Published: July 2024

We sought to validate the ability of a novel handheld ultrasound device with an artificial intelligence program (AI-POCUS) that automatically assesses left ventricular ejection fraction (LVEF). AI-POCUS was used to prospectively scan 200 patients in two Japanese hospitals. Automatic LVEF by AI-POCUS was compared to the standard biplane disk method using high-end ultrasound machines. After excluding 18 patients due to infeasible images for AI-POCUS, 182 patients (63 ± 15 years old, 21% female) were analyzed. The intraclass correlation coefficient (ICC) between the LVEF by AI-POCUS and the standard methods was good (0.81, p < 0.001) without clinically meaningful systematic bias (mean bias -1.5%, p = 0.008, limits of agreement ± 15.0%). Reduced LVEF < 50% was detected with a sensitivity of 85% (95% confidence interval 76%–91%) and specificity of 81% (71%–89%). Although the correlations between LV volumes by standard-echo and those by AI-POCUS were good (ICC > 0.80), AI-POCUS tended to underestimate LV volumes for larger LV (overall bias 42.1 mL for end-diastolic volume). These trends were mitigated with a newer version of the software tuned using increased data involving larger LVs, showing similar correlations (ICC > 0.85). In this real-world multicenter study, AI-POCUS showed accurate LVEF assessment, but careful attention might be necessary for volume assessment. The newer version, trained with larger and more heterogeneous data, demonstrated improved performance, underscoring the importance of big data accumulation in the field.
Preparation magnetic graphene oxide/diethylenetriamine composite for removal of methylene blue from aqueous solutions
Authors: Banaei Alireza , Saadat Afshin , Javadi Roghayyeh , Pargolghasemi Parinaz
Published: July 2024

Graphene oxide (GO) and its derivatives have several applications in many areas such as environmental and energy materials, water treatment and biomedical technologies. Because of having various polar groups on its surface, GO is considered as an excellent adsorbent. However, for many applications such as adsorption of pollution from aqueous solutions, chemical functionalization of graphene oxide is often a necessary requirement. In the present study, a new composite from graphene oxide, diethylenetriamine (DETA) and silica coated MnFe2O4 nanoparticles (GO/DETA/MnFe2O4@SiO2) was prepared. The structure, thermal stability and magnetic properties of the composite were studied by FT-IR, XRD, SEM, EDS, VSM and TGA spectroscopic methods. The prepared composite showed magnetic property with a saturation magnetization of 3.0 emu/g. The adsorption properties of GO/DETA/MnFe2O4@SiO2 composite for methylene blue (MB) in aqueous solution were studied using batch method. The effects of important parameters on the surface adsorption process of MB, including pH, contact time, adsorbent dosage and initial dye concentration were investigated. The adsorption isotherm was in accordance with Langmuir model showing surface homogeneity of the adsorbent. According to the Langmuir analysis, the maximum adsorption capacity (qm) of GO/DETA/MnFe2O4@SiO2 composite for MB was found to be 243.91 mg/g. The kinetic studies showed that the adsorption was pseudo first-order process. In addition, the thermodynamic studies indicated the adsorption was spontaneous and endothermic process.
Uncovering hidden and complex relations of pandemic dynamics using an AI driven system
Authors: Demirbaga Umit , Kaur Navneet , Aujla Gagangeet Singh
Published: July 2024

The COVID-19 pandemic continues to challenge healthcare systems globally, necessitating advanced tools for clinical decision support. Amidst the complexity of COVID-19 symptomatology and disease severity prediction, there is a critical need for robust decision support systems to aid healthcare professionals in timely and informed decision-making. In response to this pressing demand, we introduce BayesCovid, a novel decision support system integrating Bayesian network models and deep learning techniques. BayesCovid automates data preprocessing and leverages advanced computational methods to unravel intricate patterns in COVID-19 symptom dynamics. By combining Bayesian networks and Bayesian deep learning models, BayesCovid offers a comprehensive solution for uncovering hidden relationships between symptoms and predicting disease severity. Experimental validation demonstrates BayesCovid ’s high prediction accuracy (83.52–98.97%). Our work represents a significant stride in addressing the urgent need for clinical decision support systems tailored to the complexities of managing COVID-19 cases. By providing healthcare professionals with actionable insights derived from sophisticated computational analysis, BayesCovid aims to enhance clinical decision-making, optimise resource allocation, and improve patient outcomes in the ongoing battle against the COVID-19 pandemic.
Potential domino effect of the 2023 Kahramanmaraş earthquake on the centuries-long seismic quiescence of the Dead Sea fault: inferences from the North Anatolian fault
Authors: Altunel Erhan , Kozacı Özgür , Yıldırım Cengiz , Sbeinati Reda Mohamed , Meghraoui Mustapha
Published: July 2024

Field observations conducted immediately following the February 6, 2023, Mw 7.8 Kahramanmaraş earthquake documented the southern surface rupture termination in the Amik Basin. The termination occurred in an en-echelon pattern, extending across the 3.5 km width of the approximately 10-km-wide stepover. This extension reached towards the northern tip of the Hacıpaşa Fault, which constitutes the main northern segment of the Dead Sea Fault Zone (DSFZ). Archaeoseismologic and paleoseismologic data show that the approximately 800-km-long DSFZ has been seismically quiet for more than 600 years in the north and 900 years in the south. A similar fault connection geometry at the western end of the 1939 Ms 7.9 Erzincan earthquake in the easternmost part of the North Anatolian Fault Zone and the subsequently triggered successive large magnitude earthquakes migrating westward within a few decades highlights an increased seismic hazard for the entire DSFZ. This heightened seismic hazard potential along the DSFZ, combined with historical population centers experiencing wars and migrations, puts millions of people at an unparalleled risk.
Turning glucosinolate into allelopathic fate: investigating allyl isothiocyanate variability and nitrile formation in eco-friendly Brassica juncea from South Korea
Authors: Ko Da-Yeong , Seo Su-Mi , Lee Yong-Hyuk , Gil Chan Saem , Lee Hojoung , Ku Kang-Mo
Published: July 2024

Leaf mustard (Brassica juncea L.) is explored for its biofumigant properties, derived from its secondary metabolites, particularly allyl isothiocyanate (AITC), produced during the enzymatic breakdown of glucosinolates like sinigrin. The research examines eight leaf mustard cultivars developed in Yeosu city, South Korea, focusing on their genetic characteristics, AITC concentration and nitriles formation rates from glucosinolates. Results indicate that the allelopathic effects, largely dependent on AITC concentration and enzymatic activity, vary across cultivar. Sinigrin and AITC constitute 79% and 36%, respectively, of glucosinolate and its hydrolysis products. The cultivar 'Nuttongii' demonstrates significant potential for inhibiting weeds, exhibiting the highest AITC concentration at 27.47 ± 6.46 µmole g−1 These outcomes highlight the importance of selecting mustard cultivars for biofumigation based on their glucosinolate profiles and hydrolysis product yields. The study also identifies a significant genetic influence on AITC and nitrile formation, suggesting that epithiospecifier protein modulation could enhance both allelopathic and other beneficial effects. Collectively, the research underscores the promise of mustard as a sustainable, environmentally friendly alternative to traditional herbicides.
NF-κB inhibitor alpha controls SARS-CoV-2 infection in ACE2-overexpressing human airway organoids
Authors: Simoneau Camille R. , Chen Pei-Yi , Xing Galen K. , Hayashi Jennifer M. , Chen Irene P. , Khalid Mir M. , Meyers Nathan L. , Taha Taha Y. , Leon Kristoffer E. , Suryawanshi Rahul K. , McCavitt-Malvido Maria , Ashuach Tal , Fontaine Krystal A. , Rodriguez Lauren , Joehnk Bastian , Walcott Keith , Vasudevan Sreelakshmi , Fang Xiaohui , Maishan Mazharul , Schultz Shawn , Roose Jeroen P. , Matthay Michael A. , Sil Anita , Arjomandi Mehrdad , Yosef Nir , Ott Melanie
Published: July 2024

As SARS-CoV-2 continues to spread worldwide, tractable primary airway cell models that recapitulate the cell-intrinsic response to arising viral variants are needed. Here we describe an adult stem cell-derived human airway organoid model overexpressing the ACE2 receptor (ACE2-OE) that supports robust viral replication while maintaining 3D architecture and cellular diversity of the airway epithelium. ACE2-OE organoids were infected with SARS-CoV-2 variants and subjected to single-cell RNA-sequencing. Interferon-lambda was upregulated in cells with low-level infection while the NF-kB inhibitor alpha gene (encoding IkBa) was consistently upregulated in infected cells, and its expression positively correlated with infection levels. Confocal microscopy showed more IkBa expression in infected than bystander cells, but found concurrent nuclear translocation of NF-kB that IkBa usually prevents. Overexpressing a nondegradable IkBa mutant reduced NF-kB translocation and increased viral infection. These data demonstrate the functionality of ACE2-OE organoids in SARS-CoV-2 research and underscore that the strength of the NF-kB feedback loop in infected cells controls viral replication.
Employees’ pro-environmental behavior in an organization: a case study in the UAE
Authors: Alherimi Nadin , Marva Zeki , Hamarsheh Khalid , Alzaatreh Ayman
Published: July 2024

This study investigates the factors influencing employees’ pro-environmental behavior (PEB) within organizations in the United Arab Emirates (UAE), a nation with a strong policy focus on sustainability. Utilizing a questionnaire-based survey of 146 employees in an automotive division of a UAE company and structural equation modeling (SEM), the research examines the impact of green entrepreneurial orientation, green leadership, environmental commitment, and Green Human Resource Management (GHRM) on employees’ willingness to engage in eco-friendly practices at work. The findings reveal that GHRM and green leadership significantly influence employees’ green entrepreneurial orientation, which in turn, alongside environmental commitment, positively impacts PEB. These results emphasize the importance of integrating sustainability into organizational culture, leadership, and human resource practices to foster a workforce that actively participates in environmental initiatives, thereby contributing to the development of sustainable communities and enhancing stakeholder engagement. The study provides valuable insights into the specific factors that drive PEB in the UAE context, where national policies prioritize sustainability, highlighting that the importance of implementing green practices and promoting a supportive environment encourages employees and stakeholders to embrace environmental sustainability. The research also sheds light on the role of green entrepreneurial orientation, suggesting that empowering employees to develop innovative environmental solutions can be a key driver of PEB. The SEM analysis also confirmed the positive impact of GHRM and green leadership on green entrepreneurial orientation. Additionally, green entrepreneurial orientation and environmental commitment were found to significantly influence PEB. These results have practical implications for organizations in the UAE and beyond, emphasizing that by integrating eco-friendly practices and fostering stakeholder engagement, organizations can enhance their environmental performance, strengthen their reputation, and attract environmentally conscious customers and employees, contributing to the development of sustainable communities.
Examining the feasibility and utility of heart rate variability on intervention outcomes targeting emotion regulation in autism: a brief report
Authors: Reisinger Debra L. , Goodwin Matthew S. , Horn Paul S. , Schmitt Lauren M. , Coffman Marika C. , Shaffer Rebecca C.
Published: July 2024

Autistic youth experience several behavioral and emotional characteristics that can predispose them to emotion dysregulation (ED). Current literature examining ED in autism spectrum disorder (ASD) is limited to parent- and self-reported measures, indicating a need for biological or physiological methods to better assess emotion regulation in ASD. Utilizing the autonomic nervous system, specifically heart rate variability (HRV), may be a promising method to objectively measure ED in ASD, given it is one of the body’s primary means of regulating physiological arousal. Our pilot study is one of the first to examine the feasibility, utility, and construct validity of HRV along with clinical measures within an intervention targeting ED-specific symptoms in ASD. Participants included 30 autistic youth ages 8–17 years who participated in the pilot study of Regulating Together, a group-based intervention targeting emotion regulation. We demonstrate HRV is feasible, demonstrates adequate test–retest reliability, and is complimentary to clinician- and parent-reported measures. Our preliminary findings also point to certain HRV profiles being indicative of long-term outcomes after receiving treatment. HRV may be a useful, objective tool in determining differential needs of long-term follow-up care for treatment maintenance at screening or baseline stages.
Genomic insights into the shared and distinct genetic architecture of cognitive function and schizophrenia
Authors: Wootton Olivia , Shadrin Alexey A. , Bjella Thomas , Smeland Olav B. , van der Meer Dennis , Frei Oleksandr , O’Connell Kevin S. , Ueland Torill , Andreassen Ole A. , Stein Dan J. , Dalvie Shareefa
Published: July 2024

Cognitive impairment is a major determinant of functional outcomes in schizophrenia, however, understanding of the biological mechanisms underpinning cognitive dysfunction in the disorder remains incomplete. Here, we apply Genomic Structural Equation Modelling to identify latent cognitive factors capturing genetic liabilities to 12 cognitive traits measured in the UK Biobank. We identified three broad factors that underly the genetic correlations between the cognitive tests. We explore the overlap between latent cognitive factors, schizophrenia, and schizophrenia symptom dimensions using a complementary set of statistical approaches, applied to data from the latest schizophrenia genome-wide association study (Ncase = 53,386, Ncontrol = 77,258) and the Thematically Organised Psychosis study (Ncase = 306, Ncontrol = 1060). Global genetic correlations showed a significant moderate negative genetic correlation between each cognitive factor and schizophrenia. Local genetic correlations implicated unique genomic regions underlying the overlap between schizophrenia and each cognitive factor. We found substantial polygenic overlap between each cognitive factor and schizophrenia and biological annotation of the shared loci implicated gene-sets related to neurodevelopment and neuronal function. Lastly, we show that the common genetic determinants of the latent cognitive factors are not predictive of schizophrenia symptoms in the Norwegian Thematically Organized Psychosis cohort. Overall, these findings inform our understanding of cognitive function in schizophrenia by demonstrating important differences in the shared genetic architecture of schizophrenia and cognitive abilities.
Multicenter comparative study of Enterocytozoon bieneusi DNA extraction methods from stool samples, and mechanical pretreatment protocols evaluation
Authors: Nourrisson Céline , Moniot Maxime , Tressol Maxime , Lambert Céline , Fréalle Emilie , Robert-Gangneux Florence , Costa Damien , Basmaciyan Louise , Poirier Philippe
Published: July 2024

Nowadays, the use of qPCR for the diagnosis of intestinal microsporidiosis is increasing. There are several studies on the evaluation of qPCR performance but very few focus on the stool pretreatment step before DNA extraction, which is nevertheless a crucial step. This study focuses on the mechanical pretreatment of stools for Enterocytozoon bieneusi spores DNA extraction. Firstly, a multicenter comparative study was conducted evaluating seven extraction methods (manual or automated) including various mechanical pretreatment. Secondly, several durations and grinding speeds and types of beads were tested in order to optimize mechanical pretreatment. Extraction methods of the various centers had widely-varying performances especially for samples with low microsporidia loads. Nuclisens® easyMAG (BioMérieux) and Quick DNA Fecal/Soil Microbe Microprep kit (ZymoResearch) presented the best performances (highest frequencies of detection of low spore concentrations and lowest Ct values). Optimal performances of mechanical pretreatment were obtained by applying a speed of 30 Hz during 60 s with the TissueLyser II (Qiagen) using commercial beads of various materials and sizes (from ZymoResearch or MP Biomedicals). Overall, the optimal DNA extraction method for E. bieneusi spores contained in stool samples was obtained with a strong but short bead beating using small-sized beads from various materials.
Modified osprey algorithm for optimizing capsule neural network in leukemia image recognition
Authors: Yao Bingying , Chao Li , Asadi Mehdi , Alnowibet Khalid A.
Published: July 2024

The diagnosis of leukemia is a serious matter that requires immediate and accurate attention. This research presents a revolutionary method for diagnosing leukemia using a Capsule Neural Network (CapsNet) with an optimized design. CapsNet is a cutting-edge neural network that effectively captures complex features and spatial relationships within images. To improve the CapsNet's performance, a Modified Version of Osprey Optimization Algorithm (MOA) has been utilized. Thesuggested approach has been tested on the ALL-IDB database, a widely recognized dataset for leukemia image classification. Comparative analysis with various machine learning techniques, including Combined combine MobilenetV2 and ResNet18 (MBV2/Res) network, Depth-wise convolution model, a hybrid model that combines a genetic algorithm with ResNet-50V2 (ResNet/GA), and SVM/JAYA demonstrated the superiority of our method in different terms. As a result, the proposed method is a robust and powerful tool for diagnosing leukemia from medical images.
The effects of temperament type on infusion extravasation in newborns
Authors: Huang Fang , Huang Li-xuan , Huang Zhen-peng , Wei Jiao-jiao , Lu Chang-jiang
Published: July 2024

Infusion extravasation has an increased incidence in newborns, which can result in various adverse outcomes. This study aimed to investigate the effects of different types of temperament on infusion extravasation in newborns. A total of 209 newborns aged 4–7 days who were treated with infusion therapy were assessed for temperament type using the neonatal behavioral assessment scale score (NBAS). The 2009 Infusion Nurses Society clinical grading criteria for extravasation were used, and the clinical data of the newborns, such as gestational age and body weight, were collected. Out of 209 newborns assessed, 107 developed infusion extravasations, with an incidence rate of 51.2%. Newborns with intermediate temperament type were more prone to develop infusion extravasation. Newborns with low body weight, amniotic fluid aspiration syndrome, or meconium aspiration syndrome were prone to develop infusion extravasation. Body weight, temperament type of consolability, temperament type of peak of excitement, diseases, general temperament type, and NBAS total scores of the neonates were independent risk factors for infusion extravasation. Thus, different types of temperament can have an impact on neonatal extravasation.
Hepatocellular carcinoma outcomes and potential implications for surveillance in elderly patients
Authors: Kim Aryoung , Park Goeun , Goh Myung Ji , Song Byeong Geun , Kang Wonseok , Gwak Geum-Youn , Paik Yong-Han , Choi Moon Seok , Lee Joon Hyeok , Sinn Dong Hyun
Published: July 2024

International liver societies recommend hepatocellular carcinoma (HCC) surveillance for those at high-risk of developing HCC. While previous studies have shown the benefits of surveillance for middle-aged patients, but its necessity for elderly patients is unclear. This study aimed to assess the benefits of HCC surveillance in the elderly by comparing diagnosis mode of HCC. Consecutive, elderly patients aged 75 years or older who were newly diagnosed with HCC were screened at our institution between January 2009 and December 2021. Patients were grouped into those who were diagnosed with HCC during surveillance (n = 235, surveillance group) and those who were diagnosed with HCC due to symptoms (n = 184, symptomatic group). The study outcome was overall survival. It was compared in the overall cohort and a propensity score (PS)-matched cohort. Early-stage diagnosis was more frequent in the surveillance group than in the symptomatic group (mUICC stage I/II: 72.3% vs. 39.1%, p < 0.001). The overall survival rate was better in the surveillance group than in the symptomatic group (median 4.4 vs. 2.1 years, log-rank p < 0.001). In multivariable-adjusted models, the hazard ratio (HR) of mortality of the surveillance group compared to the symptomatic group was 0.64 (95% confidence interval (CI): 0.47–0.87). However, further adjustment for the tumor stage markedly attenuated this association, which was no longer statistically significant (adjusted HR = 0.75; 95% CI: 0.54–1.02). In the PS-matched cohort analysis, outcomes were similar when the PS matching variables included the tumor stage. In contrast, when PS matching variables did not include the tumor stage, outcomes were better for the surveillance group. The surveillance group of elderly patients showed better survival than the symptomatic group, which was largely explained by earlier tumor stage at diagnosis. This suggests that the overall outcome of elderly HCC patients could be improved by increasing surveillance-detected cases compared to symptom-driven cases.
An in-vivo treatment monitoring system for ion-beam radiotherapy based on 28 Timepix3 detectors
Authors: Kelleter Laurent , Marek Lukas , Echner Gernot , Ochoa-Parra Pamela , Winter Marcus , Harrabi Semi , Jakubek Jan , Jäkel Oliver , Debus Jürgen , Martisikova Maria
Published: July 2024

Ion-beam radiotherapy is an advanced cancer treatment modality offering steep dose gradients and a high biological effectiveness. These gradients make the therapy vulnerable to patient-setup and anatomical changes between treatment fractions, which may go unnoticed. Charged fragments from nuclear interactions of the ion beam with the patient tissue may carry information about the treatment quality. Currently, the fragments escape the patient undetected. Inter-fractional in-vivo treatment monitoring based on these charged nuclear fragments could make ion-beam therapy safer and more efficient. We developed an ion-beam monitoring system based on 28 hybrid silicon pixel detectors (Timepix3) to measure the distribution of fragment origins in three dimensions. The system design choices as well as the ion-beam monitoring performance measurements are presented in this manuscript. A spatial resolution of $${{4}\,\hbox {mm}}$$

4

mm

along the beam axis was achieved for the measurement of individual fragment origins. Beam-range shifts of $${1.5}\,\hbox {mm}$$

1.5

mm

were identified in a clinically realistic treatment scenario with an anthropomorphic head phantom. The monitoring system is currently being used in a prospective clinical trial at the Heidelberg Ion Beam Therapy Centre for head-and-neck as well as central nervous system cancer patients.
Psychological distress and health behaviours in people living with and beyond cancer: a cross-sectional study
Authors: Miller Natalie Ella , Lally Phillippa , Conway Rana , Steptoe Andrew , Frank Philipp , Beeken Rebecca J. , Fisher Abi
Published: July 2024

This study aimed to examine whether psychological distress was cross-sectionally associated with meeting World Cancer Research Fund (WCRF) recommendations in people living with and beyond cancer. Participants were adults living with and beyond breast, prostate and colorectal cancer, participating in the baseline wave of the Advancing Survivorship after Cancer Outcomes Trial (ASCOT). Anxiety/depression was assessed using the EQ-5D-5L and dichotomised into any/no problems. WCRF recommendations were assessed via pedometers, 24-h dietary recalls, self-reported alcohol intake (AUDIT-C), and self-reported smoking status. Participants were categorised as meeting WCRF recommendations using the following cut-offs: average daily steps (≥ 10,000/day), average weekly aerobic steps (≥ 15,000/day), fruit and vegetables (≥ 400 g/day), fibre (≥ 30 g/day), red meat (< 500 g/week), processed meat (0 g/day), high calorie food (fat ≤ 33% of total daily energy intake and free sugar ≤ 5% of total daily energy intake), alcohol (≤ 14 units/week) and smoking (non-smoking). A composite health behaviour risk index (CHBRI) was calculated by summing the number of WCRF recommendations met (range: 0–9). Among 1348 participants (mean age = 64 years (SD = 11.4)), 41.5% reported anxiety/depression problems. The mean CHBRI score was 4.4 (SD = 1.4). Anxiety/depression problems were associated with lower odds of meeting WCRF recommendations for average daily steps (odds ratio (OR) = 0.73; 95% CI 0.55, 0.97), but not for any other health behaviour. Psychological distress is associated with lower adherence to WCRF recommendations for physical activity in people living with and beyond cancer. Physical activity may be a mechanism linking psychological distress and poorer outcomes among people living with and beyond cancer, and this should be explored in longitudinal studies.
Social coevolution and Sine chaotic opposition learning Chimp Optimization Algorithm for feature selection
Authors: Zhang Li , Chen XiaoBo
Published: July 2024

Feature selection is a hot problem in machine learning. Swarm intelligence algorithms play an essential role in feature selection due to their excellent optimisation ability. The Chimp Optimisation Algorithm (CHoA) is a new type of swarm intelligence algorithm. It has quickly won widespread attention in the academic community due to its fast convergence speed and easy implementation. However, CHoA has specific challenges in balancing local and global search, limiting its optimisation accuracy and leading to premature convergence, thus affecting the algorithm’s performance on feature selection tasks. This study proposes Social coevolution and Sine chaotic opposition learning Chimp Optimization Algorithm (SOSCHoA). SOSCHoA enhances inter-population interaction through social coevolution, improving local search. Additionally, it introduces sine chaotic opposition learning to increase population diversity and prevent local optima. Extensive experiments on 12 high-dimensional classification datasets demonstrate that SOSCHoA outperforms existing algorithms in classification accuracy, convergence, and stability. Although SOSCHoA shows advantages in handling high-dimensional datasets, there is room for future research and optimization, particularly concerning feature dimensionality reduction.
Multimodal phenotyping of foveal hypoplasia in albinism and albino-like conditions: a pediatric case series with adaptive optics insights
Authors: Bacci Giacomo M. , Marziali Elisa , Bargiacchi Sara , Paques Michel , Virgili Gianni , Fortunato Pina , Durand Marine , Rocca Camilla , Pagliazzi Angelica , Palazzo Viviana , Tiberi Lucia , Vergani Debora , Landini Samuela , Peron Angela , Artuso Rosangela , Pacini Bianca , Stabile Monica , Sodi Andrea , Caputo Roberto
Published: July 2024

Aim of the present study is to evaluate the relationship between genetic and phenotypic data in a series of patients affected by grade I and II of foveal hypoplasia with stable fixation and good visual acuity using multimodal imaging techniques. All patients underwent complete clinical and instrumental assessment including structural Optical Coherence Tomography (OCT), OCT Angiography and Adaptive Optics (AO) imaging. Central macular thickness (CMT), inner nuclear layer (INL), vessel density in superficial capillary plexus were the main variables evaluated with OCT technology. Cone density, cone spacing, cone regularity, cone dispersion and angular density were the parameters evaluated with AO. Genetic evaluation and trio exome sequencing were performed in all affected individuals. Eight patients (3 males and 5 females) with a mean age of 12.62 years (range 8–18) were enrolled. The mean best corrected visual acuity (BCVA) was 0.18 ± 0.13 logMAR, mean CMT was 291.9 ± 16.6 µm and INL was 26.2 ± 4.6 µm. The absence of a foveal avascular zone (FAZ) was documented by examination of OCT-A in seven patients in the superficial capillary plexus. However, there was a partial FAZ in the deep plexus in patients P5 and P8. Of note, all the patients presented with major retinal vessels clearly crossing the foveal center. All individuals exhibited a grade I or II of foveal hypoplasia. In 5 patients molecular analyses showed an extremely mild form of albinism caused by compound heterozygosity of a TYR pathogenic variant and the hypomorphic p.[Ser192Tyr;Arg402Gln] haplotype. One patient had Waardenburg syndrome type 2A caused by a de novo variant in MITF. Two patients had inconclusive molecular analyses. All the patients displayed abnormalities on OCT-A. Photoreceptor count did not differ from normal subjects according to the current literature, but qualitative analysis of AO imaging showed distinctive features likely related to an abnormal pigment distribution in this subset of individuals. In patients with foveal hypoplasia, genetic and multimodal imaging data, including AO findings, can help understand the physiopathology of the foveal hypoplasia phenotype. This study confirms that cone density and visual function can both be preserved despite the absence of a pit.
The specifics of the Galois field GF(257) and its use for digital signal processing
Authors: Bakirov Akhat , Matrassulova Dinara , Vitulyova Yelizaveta , Shaltykova Dina , Suleimenov Ibragim
Published: July 2024

An algorithm of digital logarithm calculation for the Galois field $$GF(257)$$

G
F
(
257
)

is proposed. It is shown that this field is coupled with one of the most important existing standards that uses a digital representation of the signal through 256 levels. It is shown that for this case it is advisable to use the specifics of quasi-Mersenne prime numbers, representable in the form $${p=2}^{n}+1$$

p
=
2

n

+
1

, which includes the number 257. For fields $$GF({2}^{n}+1)$$

G
F
(

2

n

+
1
)

, an alternating encoding can be used, in which non-zero elements of the field are displayed through binary characters corresponding to the numbers + 1 and − 1. In such an encoding, multiplying a field element by 2 is reduced to a quasi-cyclic permutation of binary symbols (the permuted symbol changes sign). Proposed approach makes it possible to significantly simplify the design of computing devices for calculation of digital logarithm and multiplication of numbers modulo 257. A concrete scheme of a device for digital logarithm calculation in this field is presented. It is also shown that this circuit can be equipped with a universal adder modulo an arbitrary number, which makes it possible to implement any operations in the field under consideration. It is shown that proposed digital algorithm can also be used to reduce 256-valued logic operations to algebraic form. It is shown that the proposed approach is of significant interest for the development of UAV on-board computers operating as part of a group.