Browse publications by year: 2024

  1. Santoso MIB, Ainun SS, Utami D, Aziz FA, Puspitaningsih R, Ashar Y, et al.
    Open Vet J, 2024 Sep;14(9):2348-2360.
    PMID: 39553770 DOI: 10.5455/OVJ.2024.v14.i9.23
    BACKGROUND: An intravaginal device (IVD) made from polyethylene plastic and copper wire, integrated with a radio frequency identification (RFID) chip, was developed as a biocompatible contraceptive and identity device for cats.

    AIM: This study evaluates the local and systemic biocompatibility of IVD in five non-pregnant female cats.

    METHODS: The IVD was successfully inserted into the vaginal lumen after estrogen administration. Radiographic imaging confirmed the IVD's position, which lasted up to two days post-insertion.

    RESULTS: Systemic response, assessed through hematological examinations on days 0, 1, and 3 post-insertion, showed no significant changes in erythrogram and leukogram parameters. Local response, evaluated through vulvar inspection and vaginal cytology on days 0, 1, 3, and 7, revealed no neutrophil infiltration in 4 out of 5 cats, indicating compatibility with vaginal tissue. Furthermore, epithelial cell profile changes were observed, showing an increase in superficial cells, which is typical during the estrus phase.

    CONCLUSION: These findings suggest that the IVD is biocompatible and suitable for use as a contraceptive and identity device in cats. However, further long-term studies are necessary to evaluate the device's prolonged efficacy and potential for contraception failure prevention by mating trials.

    MeSH terms: Administration, Intravaginal; Animals; Biocompatible Materials/administration & dosage; Cats; Contraception/instrumentation; Contraception/methods; Contraception/veterinary; Contraceptive Devices, Female/veterinary; Female; Vagina/drug effects; Radio Frequency Identification Device*
  2. Zhang WB, Wang CF, Yu Y, Liu S, Hu LH, Soh HY, et al.
    PMID: 39553818 DOI: 10.1177/19433875241272441
    STUDY DESIGN: Prospective and retrospective studies.

    OBJECTIVE: The aim of this study was to evaluate the clinical effects and accuracy of three-dimensionally (3D)-printed patient-specific surgical plates used for mandibular defect reconstruction.

    METHODS: This study included patients who underwent mandibular defect reconstruction with vascularized autogenous bone grafts between January 2012 and August 2021. They were divided into experimental (fixation with 3D-printed surgical plates) and control (fixation with conventional surgical plates) groups. Flap survival rate, postoperative complications and patient self-evaluated facial appearance were compared. Mandibular reconstruction accuracy evaluation included postoperative position deviation of the whole mandible, transplanted bone graft, lower mandibular border, mandibular condyle, and mandibular angle on the reconstructed side compared to baseline.

    RESULTS: This study included 20 patients (14 males, six females; age, 39.45 ± 11.69 years), ten each in the experimental and control groups. The mean follow-up was 16 ± 22.05 (range, 6-99) months. All procedures were successful, no plate-related complications (breakage, loosening, or exposure of the surgical plates) were reported, and all patients were satisfied. The groups were statistically similar in th e position deviation of the whole mandible, transplanted bone graft, mandibular condyle, and mandibular angle, but the position and morphology of the lower mandibular border on the reconstructed side in the experimental group were better than those in the control group (P = 0.016).

    CONCLUSIONS: 3D-printed patient-specific surgical plates could be applied in mandibular reconstruction safely and effectively, simplifying the surgical procedure, shortening the preoperative preparation times, achieving satisfactory outcomes, and improving the clinical effects and accuracy of individualized mandibular reconstruction.

  3. Han C, Zhai C, Li A, Ma Y, Hallajzadeh J
    Front Cardiovasc Med, 2024;11:1432468.
    PMID: 39553846 DOI: 10.3389/fcvm.2024.1432468
    Myocardial infarction (MI), a widespread cardiovascular issue, mainly occurs due to blood clot formation in the coronary arteries, which reduces blood flow to the heart muscle and leads to cell death. Incorporating exercise into a lifestyle can significantly benefit recovery and reduce the risk of future cardiac events for MI patients. Non-coding RNAs (ncRNAs) play various roles in the effects of exercise on myocardial infarction (MI). ncRNAs regulate gene expression, influence cardiac remodeling, angiogenesis, inflammation, oxidative stress, apoptosis, cardioprotection, and cardiac electrophysiology. The expression of specific ncRNAs is altered by exercise, leading to beneficial changes in heart structure, function, and recovery after MI. These ncRNAs modulate molecular pathways that contribute to improved cardiac health, including reducing inflammation, enhancing angiogenesis, promoting cell survival, and mitigating oxidative stress. Furthermore, they are involved in regulating changes in cardiac remodeling, such as hypertrophy and fibrosis, and can influence the electrical properties of the heart, thereby decreasing the risk of arrhythmias. Knowledge on MI has entered a new phase, with investigations of ncRNAs in physical exercise yielding invaluable insights into the impact of this therapeutic modality. This review compiled research on ncRNAs in MI, with an emphasis on their applicability to physical activity.
  4. Dobhal S, Hugouvieux-Cotte-Pattat N, Arizala D, Sari GB, Chuang SC, Alvarez AM, et al.
    bioRxiv, 2024 Oct 30.
    PMID: 39554176 DOI: 10.1101/2024.10.29.620964
    Recently, species clustering within Dickeya zeae has been identified as complex, encompassing validly published names, including D. oryzae and D. parazeae, with some strains potentially delineating new species. In this study, genomes of strains isolated from a bacterial heart rot outbreak in pineapple (Ananas comosus var. comosus) on Oahu, Hawaii, along with two strains from pineapple in Malaysia, were sequenced. Orthologous average nucleotide identity (ANI) and digital DNA-DNA hybridization (dDDH) values among the sequenced genomes ranged from 98.93-99.9% and 91.8-99.9%, respectively, supporting the classification of seven strains within the same species. Comparisons of ANI and dDDH values between these seven strains and type strains of D. zeae, D. parazeae, and D. oryzae ranged from 94.4-95.9% and 57.2-66.5%, respectively. These values fall below the proposed boundaries for new species designation, supporting the delineation of a novel species. Phylogenetic analyses, including 16S rRNA, gapA, multi-locus sequence analysis (MLSA) of 10 housekeeping genes, whole-genome, and pangenome analyses, were concordant and revealed a distinct monophyletic clade, separating these strains from other members of the D. zeae complex, with D. oryzae as the closest relative. Notably, a nitrogen fixation gene cluster comprising 28 genes, similar to the Klebsiella spp. nitrogenase gene cluster, was found in the genome of the seven pineapple strains. Based on polyphasic approaches, including ANI, dDDH, biochemical, physiological, and phylogenomic analyses, we propose the reclassification in a new species of the five pineapple strains from Hawaii A5391, A5410T, A5611, A6136, and A6137, together with the two pineapple strains from Malaysia CFBP 1272 and CFBP 1278, previously classified as D. zeae. We propose the name Dickeya ananae sp. nov. for this taxon, represented by the type strain A5410T (= ICMP 25020T = LMG 33197T).
  5. Qiu W, Wang Z, Liu Q, Du Q, Zeng X, Wu Z, et al.
    Food Sci Nutr, 2024 Sep;12(9):6055-6069.
    PMID: 39554349 DOI: 10.1002/fsn3.4228
    The number of patients with inflammatory bowel disease (IBD) is increasing worldwide. Since IBD is a chronic disease that seriously affects patients' life quality, preventing and alleviating IBD with natural and less side effect substances has become a research hotspot. Food-derived bioactive peptides have been an attractive research focus due to their high efficiency and low toxicity. This paper comprehensively summarizes food-derived peptides with intestinal health effects, focusing on peptide sequences with IBD-regulatory effects and emphasizing the effects of their structure and physicochemical properties such as peptide length, amino acid composition, and net charge on their function. We also analyzed its regulatory mechanisms, mainly in 5 aspects: modulating the intestinal microbiota, decreasing intestinal epithelial permeability, increasing antioxidant ability, regulating the expression of inflammatory cytokines, and targeting signaling pathways. This review will help establish novel, efficient screening methods for IBD-regulatory peptides and contribute to further research and discovery of them.
  6. Ab Razak S, Zainal-Abidin RA, Mohd Ikmal A, Mohd-Assaad N, Abd Aziz Shamsudin N
    Data Brief, 2024 Dec;57:111051.
    PMID: 39554550 DOI: 10.1016/j.dib.2024.111051
    The genomics and genetic information of Malaysian rice (Oryza sativa L.) is currently limited. It was necessary to conduct genome resequencing of these rice accessions exhibiting different responses to salinity stress. The sequencing was carried out using the Illumina NovaSeq X platform with 30× sequencing coverage to pinpoint variants between salinity tolerant and sensitive rice accessions. The discovery of single nucleotide polymorphisms (SNPs) is crucial for the development of DNA markers associated with salinity tolerance traits. The genome sequence data (FASTQ format) for these accessions have been deposited to the European Nucleotide Archive (ENA) database under the accession number PRJEB71716.
  7. Fathima AM, Rahmawati L, Windarsih A, Suratno
    Food Sci Anim Resour, 2024 Nov;44(6):1195-1212.
    PMID: 39554825 DOI: 10.5851/kosfa.2024.e75
    Religious beliefs have a significant impact on consumer preferences, particularly in relation to food choices. Islam, like other religions, imposes specific dietary guidelines, notably regarding meat and meat products. However, ensuring compliance with halal standards across the entire meat and meat products supply chain presents considerable challenges. Instances of non-compliance, including improper slaughtering techniques, mislabeling, adulteration, and contamination, have caused concerns about the authenticity of halal status. To address these concerns, this review explores recent advancements in halal authentication methods and technology, focusing on practical objectives aimed at addressing non-compliance issues. It categorizes methods into four main areas of non-compliance concerns, providing a unique perspective compared to earlier reviews that primarily examined the progression of analytical methods. This classification offers a comprehensive analysis of the field's current status, facilitating the identification of research gaps and strategic recommendations for enhancing future halal authentication methods. Through the implementation of this novel approach, the review seeks to promote the development of a more robust framework for evaluating halal meat and meat products, safeguarding consumer trust and ensuring adherence to religious dietary guidelines in the future.
  8. Zhang Z, Zhang H, Zhang Z, Sandai D, Lu P, Zhang H, et al.
    Front Immunol, 2024;15:1483498.
    PMID: 39555060 DOI: 10.3389/fimmu.2024.1483498
    BACKGROUND: Cell death mechanisms are integral to the pathogenesis of breast cancer (BC), with ATP-induced cell death (AICD) attracting increasing attention due to its distinctive specificity and potential therapeutic applications.

    METHODS: This study employed genomic methodologies to investigate the correlation between drug sensitivity and types of AICD in BC. Initially, data from TCGA were utilized to construct a prognostic model and classification system for AICD. Subsequently, a series of bioinformatics analyses assessed the prognostic and clinical significance of this model within the context of BC.

    RESULTS: Analysis revealed a cohort of 18 genes associated with AICD, exhibiting prognostic relevance. Survival analyses indicated that overall survival rates were significantly lower in high-risk populations compared to their low-risk counterparts. Furthermore, prognostic indicators linked to AICD demonstrated high accuracy in predicting survival outcomes in BC. Immunological assessments indicated heightened expression of anti-tumor infiltrating immune cells and immune checkpoint molecules in low-risk populations, correlating with various anti-tumor immune functions. Ultimately, a comprehensive prognostic model related to AICD was developed through univariate analysis, least absolute shrinkage and selection operator (LASSO), and multivariate Cox regression analysis. As Adenosine triphosphate (ATP) concentration increased, the viability of BC cells exhibited a general decline at each time point. Notably, ATP diminished the mitochondrial membrane potential in BC cells while enhancing it in normal breast epithelial cells. Additionally, ATP inhibited the migration of BC cells and promoted their apoptosis. ATP also stimulated reactive oxygen species (ROS) production in MCF-10A cells, with implications for the immune response in BC cells. Compared to the control group, expression levels of CLIC6, SLC1A1, and CEMIP were significantly reduced in the ATP intervention group, whereas ANO6 expression was elevated. ANO6, CEMIP, and CLIC6 share genetic variants with BC, while SLC1A1 does not exhibit genetic causal variation with the disease.

    CONCLUSION: A valuable prognostic model associated with AICD has been established, capable of accurately predicting BC prognosis. The induction of cell death by ATP appears to play a protective role in BC progression. These findings carry significant implications for the implementation of personalized and tailored treatment strategies for BC patients.

    MeSH terms: Female; Humans; Prognosis; RNA, Messenger/genetics; RNA, Messenger/metabolism; Biomarkers, Tumor/genetics; Gene Expression Regulation, Neoplastic; Cell Death/genetics; Apoptosis; Gene Expression Profiling; Cell Line, Tumor; Transcriptome
  9. Dogan S, Barua PD, Baygin M, Tuncer T, Tan RS, Ciaccio EJ, et al.
    Cogn Neurodyn, 2024 Oct;18(5):2503-2519.
    PMID: 39555305 DOI: 10.1007/s11571-024-10104-1
    This paper presents an innovative feature engineering framework based on lattice structures for the automated identification of Alzheimer's disease (AD) using electroencephalogram (EEG) signals. Inspired by the Shannon information entropy theorem, we apply a probabilistic function to create the novel Lattice123 pattern, generating two directed graphs with minimum and maximum distance-based kernels. Using these graphs and three kernel functions (signum, upper ternary, and lower ternary), we generate six feature vectors for each input signal block to extract textural features. Multilevel discrete wavelet transform (MDWT) was used to generate low-level wavelet subbands. Our proposed model mirrors deep learning approaches, facilitating feature extraction in frequency and spatial domains at various levels. We used iterative neighborhood component analysis to select the most discriminative features from the extracted vectors. An iterative hard majority voting and a greedy algorithm were used to generate voted vectors to select the optimal channel-wise and overall results. Our proposed model yielded a classification accuracy of more than 98% and a geometric mean of more than 96%. Our proposed Lattice123 pattern, dynamic graph generation, and MDWT-based multilevel feature extraction can detect AD accurately as the proposed pattern can extract subtle changes from the EEG signal accurately. Our prototype is ready to be validated using a large and diverse database.
  10. Saputra I, Lee YN, Fotedar R
    Aquac Nutr, 2024;2024:8579991.
    PMID: 39555534 DOI: 10.1155/2024/8579991
    The present study aims to evaluate the effect of liquid fish protein hydrolysate (FPH) following fishmeal substitution with full-fat and defatted BSF (black soldier fly, Hermetia illucens) meal in the feeds of juvenile ornate spiny lobster, Panulirus ornatus. The physiological aspects of juvenile lobsters including growth, fatty acids profile, and histopathology were observed. Six isoenergetic experimental feeds having a protein-to-energy ratio of 26 CP mg kJ-1 were formulated with the substitution of fishmeal at 25% using liquid FPH, full-fat BSF (FBSF), defatted BSF (DBSF), and their combination. The specific growth rate, final body weight, final total length, and length increment of juvenile lobsters (initial weight was 0.21 ± 0.01 g and total length was 20.53 ± 0.12 mm) were significantly affected by the fishmeal substitution (P  < 0.05) and improved with the addition of liquid FPH in the feeds containing FBSF and DBSF. The whole body proximate analysis showed that the liquid FPH to the feeds containing DBSF increased the ash and protein content significantly (P  < 0.05). The total monounsaturated fatty acids (∑MUFA), saturated fatty acids (∑SFA), and omega 9 fatty acids (∑n-9 FA) of juvenile lobsters' whole bodies fed with dietary DBSF and FPH supplementation were significantly higher than those of others (P  < 0.05). The histopathological analysis indicated that the villus size and the muscle thickness in the intestine were not significantly affected by FPH supplementation. However, the hepatopancreas histopathology indicated the presence of B-cells and R-cells in the juvenile lobsters fed with FPH-supplemented feeds. The present results suggested the supplementation of liquid FPH to the formulated feed with FBSF and DBSF for juvenile lobsters can improve the lobsters' growth and fatty acids availability.
  11. Mohd Nor NH, Mansor NI, Hasim NA
    Tissue Eng Part B Rev, 2024 Nov 18.
    PMID: 39556233 DOI: 10.1089/ten.teb.2024.0216
    In the realm of dental tissue regeneration research, various constraints exist such as the potential variance in cell quality, potency arising from differences in donor tissue and tissue microenvironment, the difficulties associated with sustaining long-term and large-scale cell expansion while preserving stemness and therapeutic attributes, as well as the need for extensive investigation into the enduring safety and effectiveness in clinical settings. The adoption of artificial intelligence (AI) technologies has been suggested as a means to tackle these challenges. This is because, tissue regeneration research could be advanced through the use of diagnostic systems that incorporate mining methods such as neural networks (NN), fuzzy, predictive modeling, genetic algorithms, machine learning (ML), cluster analysis, and decision trees. This article seeks to offer foundational insights into a subset of AI referred to as artificial neural networks (ANNs) and assess their potential applications as essential decision-making support tools in the field of dentistry, with a particular focus on tissue engineering research. Although ANNs may initially appear complex and resource intensive, they have proven to be effective in laboratory and therapeutic settings. This expert system can be trained using clinical data alone, enabling their deployment in situations where rule-based decision-making is impractical. As ANNs progress further, it is likely to play a significant role in revolutionizing dental tissue regeneration research, providing promising results in streamlining dental procedures and improving patient outcomes in the clinical setting.
  12. Li HB, Huang L, Ni JY, Lin RY, Xi SY
    Phytomedicine, 2024 Dec;135:156244.
    PMID: 39556987 DOI: 10.1016/j.phymed.2024.156244
    Primary hepatic carcinoma is one of the most common malignant tumors. China is a major country for liver cancer, accounting for about 50 % of the patients worldwide. Although there are a variety of treatments for primary hepatic carcinoma, chemotherapy remains an important method, and transcatheter arterial chemoembolization (TACE) is a commonly used local chemotherapy. Currently, there are no effective therapeutic measures to target adverse reactions generated after chemoembolization. A new approach is needed to alleviate post-TACE syndrome. Clinical and experimental studies have shown that traditional Chinese medicine can reduce adverse reactions and improve clinical efficacy when combined with primary hepatic carcinoma treatment. This suggests that traditional Chinese medicine plays an important and irreplaceable role in alleviating adverse reactions after TACE. However, there is still a need for high-quality experimental and clinical studies to obtain evidence of effective treatment.
    MeSH terms: Humans; Medicine, Chinese Traditional*
  13. Omoregie AI, Alhassan M, Ouahbi T
    Int J Biol Macromol, 2024 Dec;283(Pt 2):137770.
    PMID: 39557263 DOI: 10.1016/j.ijbiomac.2024.137770
    Lilium spp. polysaccharides (LSPs) are gaining significant attention for their diverse health benefits, including antioxidant, antitumor, and antibacterial properties. This paper critically analyzes a recent comprehensive review by Li et al., published in International Journal of Biological Macromolecules, focusing on LSP extraction, purification, and health benefits. While the original review offers valuable insights, this critique identifies opportunities to strengthen the bibliometric analysis section. This study employs a comprehensive search strategy in Scopus using specific keywords and covering a broader time frame (1975-2023), revealing 94 research articles on LSPs. The critique proposes improvements to enhance transparency and impact, such as specifying search queries and Boolean operators used across databases, detailing selection criteria, and incorporating advanced analyses. This article discusses author keyword analysis, co-citation analysis of cited authors, and bibliographic coupling analysis of documents using VOSviewer software. The global landscape mapping of LSP relationships involving authors, countries, and keywords was determined using RStudio software. These refinements will provide a more robust foundation for understanding the LSP research landscape and future research directions while also addressing common pitfalls and suggesting improvements in bibliometric analysis for future studies.
    MeSH terms: Antioxidants/pharmacology; Antioxidants/chemistry; Humans; Bibliometrics
  14. Shahhiran MAA, Abdul Kadir MF, Nor Rashid N, Abdul-Rahman PS, Othman S
    Histochem Cell Biol, 2024 Nov 18;163(1):3.
    PMID: 39557682 DOI: 10.1007/s00418-024-02339-0
    Dihydroorotate dehydrogenase (DHODH) inhibitors have recently gained increasing research interest owing to their potential for treating breast cancers. We explored their effects in different breast cancer subtypes, focusing on mitochondrial dysfunction. The sensitivity of different subtypes to the inhibitors was investigated with respect to DHODH expression, tumorigenic, and receptor status. Analysis of respiratory complexes, cell cycle, reactive oxygen species (ROS), and cell differentiation were performed. Four cell lines with different receptor status were included, namely MCF-7, MDAMB-231, SKBR-3, and MCF-10A. We showed that MCF-7 and MDAMB-231 cells of the subtypes (ER+/PR+/HER2-) and (ER-/PR-/HER2-), respectively, were responsive to brequinar. Brequinar (BQR) caused cell cycle arrest in the S-phase in sensitive subtypes of breast cells but induced cell differentiation only in poorly differentiated breast cells. All cell subtypes showed increased generation of ROS, both intracellular and mitochondrial ROS with a greater increase seen in mitochondrial ROS in response to DHODH inhibitor, subsequently contributing to mitochondrial dysfunction. BQR also disrupts the function of complex III in ER+/PR+ and triple negative breast cancer (TNBC) subtypes. Collectively, we have found that MDAMB-231 TNBC cell was the most affected by DHODH inhibition in terms of sensitivity, cell cycle arrest, induction of cell differentiation, production of ROS, and mitochondrial complexes disruption. In conclusion, these findings suggest that DHODH inhibitors can potentially become a valuable targeted therapy for TNBC subtype and further consolidates its therapeutic potential as part of the combinatorial therapy against this resilient breast cancer subtype.
    MeSH terms: Biphenyl Compounds; Enzyme Inhibitors/pharmacology; Female; Humans; Quinaldines; Tumor Cells, Cultured; Cell Cycle Checkpoints/drug effects; S Phase Cell Cycle Checkpoints/drug effects
  15. Chen Z, Wang W, Hou J, Gao C, Song M, Zhao Z, et al.
    Cell Death Discov, 2024 Nov 18;10(1):473.
    PMID: 39557844 DOI: 10.1038/s41420-024-02243-5
    The oncogene xCT plays an indispensable role in tumor growth by protecting cancer cells from oxidative stress and ferroptosis. Emerging evidence indicated xCT function is tightly controlled by posttranslational modifications, especially ubiquitination. However, it still remains unclear what specific regulatory mechanism of xCT by ubiquitin ligases in human cancers. Here, we reported that NEDD4L, an E3 ubiquitin ligases, inhibited esophageal squamous cell carcinoma (ESCC) tumor growth and facilitated ferroptosis by ubiquitination of xCT. NEDD4L expression was declined in ESCC and was associated with tumor invasion, lymph node metastasis and distant metastasis. Silencing NEDD4L triggered ESCC tumor growth. Meanwhile, knock down of NEDD4L prevented the accumulation of ROS, elevated the level of GSH, reduced the content of MDA in ESCC cells, thereby inhibiting ferroptosis. Mechanistically, NEDD4L directly bound to the ∆CT domain of xCT through its WW and HECT domain. More importantly, NEDD4L promoted xCT degradation by facilitating its polyubiquitination in ESCC cells. Collectively, these findings suggest that NEDD4L is crucial in governing the stability of xCT and mediating ferroptosis in ESCC.
  16. Ahmad Najib M, Winter A, Mustaffa KMF, Ong EBB, Selvam K, Khalid MF, et al.
    Sci Rep, 2024 Nov 18;14(1):28416.
    PMID: 39557915 DOI: 10.1038/s41598-024-78685-9
    Aptamers have emerged as prominent ligands in clinical diagnostics because they provide various advantages over antibodies, such as quicker generation time, reduced manufacturing costs, minimal batch-to-batch variability, greater modifiability, and improved thermal stability. In the present study, we isolated and characterized DNA aptamers that can specifically bind to the hemolysin E (HlyE) antigen of Salmonella Typhi for future development of typhoid diagnostic tests. The DNA aptamers against Salmonella Typhi HlyE were isolated using systematic evolution of ligands by exponential enrichment (SELEX), and their binding affinity and specificity were assessed utilizing enzyme-linked oligonucleotide assay (ELONA). A total of 11 distinct aptamers were identified, and the binding affinities and species selectivities of the three most probable aptamers were determined. Kd values were obtained in the nanomolar range, with the highest affinity of 83.6 nM determined for AptHlyE97. In addition, AptHlyE11, AptHlyE45 and AptHlyE97 clearly distinguished S. Typhi HlyE from other tested bacteria, such as Salmonella Paratyphi A, Salmonella Paratyphi B, Shigella flexneri, Klebsiella pneumonia and Escherichia coli, therefore displaying desirable specificity. These novel aptamers could be used as diagnostic ligands for the future development of inexpensive and effective point-of-care tests for typhoid surveillance, especially in developing countries of the tropics and subtropics.
    MeSH terms: Antigens, Bacterial/immunology; Antigens, Bacterial/isolation & purification; Bacterial Proteins; Humans; Salmonella typhi*; Typhoid Fever/diagnosis; Typhoid Fever/microbiology
  17. Diab A, You L, Topa A, Saboo N, Sukhija M, Awed A
    Sci Rep, 2024 Nov 18;14(1):28499.
    PMID: 39557937 DOI: 10.1038/s41598-024-78551-8
    Understanding the complex stress-strain hysteresis behavior of asphalt binders under varied conditions is critical for optimizing pavement performance. This study addresses the challenge by analyzing and modeling asphalt binder responses in oscillating shear mode across different aging states (unaged, short-term aged, and long-term aged), stretch amplitudes, frequencies, and temperatures. Fifty-three stress-strain hysteresis loops were meticulously analyzed, revealing distinct stress paths relative to applied stretch levels. A nine-parameter parallel rheological framework model was developed, integrating a four-parameter eight-chain (FEC) hyperelastic model in one network and a FEC hyperelastic model with a linear viscoelastic flow element in series in another. This constitutive model was implemented in LS-DYNA finite element simulations to predict experimentally-measured stress-strain hysteresis loops accurately. The research demonstrates the model's capability to simulate both linear and nonlinear viscoelastic responses of asphalt binders across a wide range of environmental and loading conditions. This approach significantly enhances our ability to capture and understand the stress-strain behavior critical for asphalt pavement durability and performance optimization.
  18. Şendil AM, Canlı U, Sheeha BB, Alkhamees NH, Batrakoulis A, Al-Mhanna SB
    Sci Rep, 2024 Nov 18;14(1):28462.
    PMID: 39558052 DOI: 10.1038/s41598-024-79811-3
    The aim of the study was to evaluate the effects of a structured coordinative exercise intervention based on motor skill elements on physical fitness (PF), motor competence (MC) and inhibitory control (IC) in preschool children. A total of 41 kindergarten children (27 boys and 17 girls) aged between 5 and 6 years participated and were divided into exercise (EG; n = 18) and control (CG; n = 23) groups. The exercise group participated in a structured coordinative exercise programme focusing on locomotor and balance skills such as side-stepping, galloping, jumping and running for 30 min, 2 days a week for 8 weeks. The control group followed the normal curriculum. Children participated in measurements before and after 8 weeks, respectively; motor competence was assessed using the Körperkoordinationstest für Kinder (KTK3+) test battery, which includes eye-hand coordination and other coordinative skills. Physical fitness was measured by balance, agility and vertical jump tests. Inhibitory control was assessed using the Go/NoGo test in the Early Years Toolbox. As a result of the two-factor analysis of variance for mixed measures to determine whether being in the exercising group had a significant effect on the test scores, group by time interaction effect showed that the increase in the scores of the exercise group was significantly higher than that of the control group in the parameters of static balance, KTK sideways jump and KTK eye-hand coordination [respectively: F(1-39) = 6.993, p = 0.012; 6.443, p = 0.015; 8.180, p = 0.007). The results show that structured coordinative exercises improve PF and MC but have no significant effect on IC. This study targets the development of motor and cognitive skills considered to be important in preschool children and is one of the few studies to evaluate these parameters simultaneously. It also provides a comprehensive perspective on interventions aimed to positively affect health and development in early childhood.Trial Registration: NCT06631248. Registered on October 07, 2024.
    MeSH terms: Child; Child, Preschool; Postural Balance/physiology; Female; Humans; Male
  19. Chen Q, Li K, Chen Z, Maul T, Yin J
    Sci Rep, 2024 Nov 18;14(1):28444.
    PMID: 39558072 DOI: 10.1038/s41598-024-79934-7
    Out-of-distribution (OOD) detection is a crucial problem in practice, especially, for the safe deployment of machine learning models in industrial settings. Previous work has used free energy as a score function and proposed a fine-tuning method that utilized OOD data in the training phase of the classification model, which achieves a higher performance on the OOD detection task compared with traditional methods. One key drawback, however, is that the loss function parameters are highly dependent on involved datasets, which means it cannot be dynamically adapted and implemented in others settings; in other words, the general ability of the energy score is considerably limited. In this work, our point of departure is to enlarge distinguishability between in-distribution features and OOD data. Consequently, we present a simple yet effective sparsity-regularized (SR) tuning framework for this purpose. Our framework has two types of workflows depending on if external OOD data is available, the complexity of the original training loss is sharply reduced by adopting this modification, meanwhile, the adapted ability and detection performance are enhanced. Also, we contribute a mini dataset as a light and efficient alternative of the previous large-scale one. In the experiments, we verify the effectiveness of our framework in a wide range of typical datasets along with common network architectures.
  20. Makar P, Musa RM, Silva RM, Muracki J, Trybulski R, Altundağ E, et al.
    Sci Rep, 2024 Nov 18;14(1):28547.
    PMID: 39558131 DOI: 10.1038/s41598-024-80181-z
    This study aims to explore the interplay between locomotor demands and goal differentials to better understand their combined influence on overall success. Spanning three competitive seasons within the male Turkish Super League, this study analyzed all participating teams across 124 matches. Locomotor demands, including total distance (m) covered (TD), distances covered (m) at different speed thresholds (0.21-2.0 m/s; 2.01-4.0 m/s; 4.01-5.5 m/s; and 5.5-7.7 m/s), and the number of accelerations in range of 5.5-7.0 m/s (n), were quantified using an optical tracking system. Subsequently, regression models were employed to predict the total points earned by all teams over the three seasons. The logistic regression model, tailored to predict team categorization as high-points earners (HPE) or low-points earners (LPE) based on locomotor variables, exhibited a mean accuracy of 74%. Notably, total distance covered, running speed intervals between 4.4 and 5.5 m/s, and the number of accelerations in range of 5.5-7.0 m/s emerged as significant predictors of team success. Our findings highlight the pivotal role of running speed (4.01-5.5 m/s), number of accelerations, and total distance in predicting success for high-performing teams. Coaches can leverage these insights to refine training programs, thereby optimizing team performance, and fostering success in competitive environments.
    MeSH terms: Acceleration; Adult; Humans; Locomotion/physiology; Male; Turkey; Athletes
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