Gastrointestinal helminth of Nile crocodiles (Crocodylus niloticus), in Arba Minch Crocodile Ranch, Ethiopia.

Parasites are among the major organisms that affect the health of crocodiles. A cross-sectional study was conducted from November 2021 to May 2022 aimed to determine the prevalence of gastrointestinal helminths of Nile crocodiles in Arba Minch Crocodile Ranch (AMCR), Ethiopia. A total of 322 fecal samples were collected using a random sampling technique.

Plasma proteomic evidence for increased β-amyloid pathology after SARS-CoV-2 infection.

Previous studies have suggested that systemic viral infections may increase risks of dementia. Whether this holds true for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus infections is unknown. Determining this is important for anticipating the potential future incidence of dementia.

Toward a biological definition of neuronal and glial synucleinopathies.

Cerebral accumulation of alpha-synuclein (αSyn) aggregates is the hallmark event in a group of neurodegenerative diseases-collectively called synucleinopathies-which include Parkinson's disease, dementia with Lewy bodies and multiple system atrophy. Currently, these are diagnosed by their clinical symptoms and definitively confirmed postmortem by the presence of αSyn deposits in the brain. Here, we summarize the drawbacks of the current clinical definition of synucleinopathies and outline the rationale for moving toward an earlier, biology-anchored definition of these disorders, with or without the presence of clinical symptoms.

PathoGD: an integrative genomics approach to primer and guide RNA design for CRISPR-based diagnostics.

Critical to the success of CRISPR-based diagnostic assays is the selection of a diagnostic target highly specific to the organism of interest, a process often requiring iterative cycles of manual selection, optimisation, and redesign. Here we present PathoGD, a bioinformatic pipeline for rapid and high-throughput design of RPA primers and gRNAs for CRISPR-Cas12a-based pathogen detection. PathoGD is fully automated, leverages publicly available sequences and is scalable to large datasets, allowing rapid continuous monitoring and validation of primer/gRNA sets to ensure ongoing assay relevance.

Exploring the link between dietary inflammatory index, inflammatory biomarkers, and sleep quality in adults with obesity: a pilot investigation.

Objective: Obesity is known to be associated with inflammation and impaired sleep quality. In addition, the anti-inflammatory properties of the daily diet provide positive effects on health. The aim of this study was to investigate the relationship between the inflammatory index of the diet consumed by people with obesity and inflammatory biomarkers and sleep quality.

Risk-directed management of chronic kidney disease.

The timely and rational institution of therapy is a key step towards reducing the global burden of chronic kidney disease (CKD). CKD is a heterogeneous entity with varied aetiologies and diverse trajectories, which include risk of kidney failure but also cardiovascular events and death. Developments in the past decade include substantial progress in CKD risk prediction, driven in part by the accumulation of electronic health records data.

Biomarker analysis from complex biofluids by an on-chip chemically modified light-controlled vertical nanopillar array device.

Nanostructured devices have proven useful in a broad range of applications, from diagnosing diseases to discovering and screening new drug molecules. We developed vertical silicon nanopillar (SiNP) arrays for on-chip multiplex capture of selected biomolecules using a light-induced release of the array's selectively captured biomarkers. This platform allows the rapid, reusable and quantitative capture and release of a selection of biomarkers, followed by their downstream analysis.

Machine learning models for water safety enhancement.

Humans encounter both natural and artificial radiation sources, including cosmic rays, primordial radionuclides, and radiation generated by human activities. These radionuclides can infiltrate the human body through various pathways, potentially leading to cancer and genetic mutations. A study was conducted using random sampling to assess the concentrations of radioactive isotopes and heavy metals in mineral water from Iran, consumable at Arak City.

Loss of ARID1A accelerates prostate tumourigenesis with a proliferative collagen-poor phenotype through co-operation with AP1 subunit cFos.

Background: Prostate cancer (PC) is the commonest male visceral cancer, and second leading cause of cancer mortality in men in the Western world.

Methods: Using a forward-mutagenesis Sleeping Beauty (SB) transposon-based screen in a Probasin Cre-Recombinase (Pb-Cre) Pten-deficient mouse model of PC, we identified Arid1a loss as a driver in the development of metastatic disease.

Results: The insertion of transposon in the Arid1a gene resulted in a 60% reduction of Arid1a expression, and reduced tumour free survival (SB:Pten Arid1a median 226 days vs SB:Pten Arid1a 293 days, p = 0.

Development and validation of a frailty risk model for patients with mild cognitive impairment.

The study aims to develop and validate an effective model for predicting frailty risk in individuals with mild cognitive impairment (MCI). The cross-sectional analysis employed nationally representative data from CHARLS 2013-2015. The sample was randomly divided into training (70%) and validation sets (30%).

Robot-assisted PFNA surgery improves clinical outcomes in the treatment of unstable femoral intertrochanteric fractures in elderly patients compared with traditional PFNA surgery.

To assess the clinical outcomes of robot-assisted proximal femoral nail antirotation (PFNA) surgery in elderly patients with unstable femoral intertrochanteric fractures (UFIFs). 151 patients who underwent UFIF and PFNA surgery between January 2020 and May 2024 were analyzed retrospectively. Of these, 78 patients were treated with traditional PFNA surgery (control group), and 73 patients were treated with robot-assisted PFNA surgery (observation group).

A machine learning decision support tool optimizes WGS utilization in a neonatal intensive care unit.

The Mendelian Phenotype Search Engine (MPSE), a clinical decision support tool using Natural Language Processing and Machine Learning, helped neonatologists expedite decisions to whole genome sequencing (WGS) to diagnose patients in the neonatal intensive care unit. After the MPSE was introduced, utilization of WGS increased, time to ordering WGS decreased, and WGS diagnostic yield increased.

Versatile waste sorting in small batch and flexible manufacturing industries using deep learning techniques.

The expansion of LEAN and small batch manufacturing demands flexible automated workstations capable of switching between sorting various wastes over time. To address this challenge, our study is focused on assessing the ability of the Segment Anything Model (SAM) family of deep learning architectures to separate highly variable objects during robotic waste sorting. The proposed two-step procedure for generic versatile visual waste sorting is based on the SAM architectures (original SAM, FastSAM, MobileSAMv2, and EfficientSAM) for waste object extraction from raw images, and the use of classification architecture (MobileNetV2, VGG19, Dense-Net, Squeeze-Net, ResNet, and Inception-v3) for accurate waste sorting.

Domperidone inhibits dengue virus infection by targeting the viral envelope protein and nonstructural protein 1.

Dengue is a mosquito-borne disease caused by dengue virus (DENV) infection, which remains a major public health concern worldwide owing to the lack of specific treatments or antiviral drugs available. This study investigated the potential repurposing of domperidone, an antiemetic and gastrokinetic agent, to control DENV infection. Domperidone was identified by pharmacophore-based virtual screening as a small molecule that can bind to both the viral envelope (E) and the nonstructural protein 1 (NS1) of DENV.

Socioeconomic disparities in multimorbidity of chronic diseases in the RaNCD cohort study.

There is limited understanding of socioeconomic inequality in multimorbidity in Iran. This study aims to investigate socioeconomic inequality in multimorbidity among adults in western Iran. Data from the Ravansar Non-Communicable Disease (RaNCD) cohort study were used in this cross-sectional study.

Association between cardiovascular health and osteoporotic fractures: a national population-based study.

Osteoporotic fractures are a major public health concern, particularly among the aging population, as they significantly contribute to morbidity, mortality, and reduced quality of life. While cardiovascular health (CVH) has traditionally been linked to cardiovascular disease outcomes, emerging evidence suggests it may also influence bone health. This study investigates the association between CVH, as measured by the Life's Essential 8 (LE8) score, and the prevalence of osteoporotic fractures in U.

Orally administered live BCG and heat-inactivated Mycobacterium bovis protect bison against experimental bovine tuberculosis.

Bovine tuberculosis (BTB) is an infectious disease of livestock and wildlife species that is caused by pathogenic members of the Mycobacterium tuberculosis complex such as Mycobacterium bovis. Due to the introduction of M. bovis-infected bison in the 1920s, BTB is now endemic in wood bison (Bison bison athabascae) population within the Wood Buffalo National Park (WBNP) in northern Canada.

Targeting ABCD1-ACOX1-MET/IGF1R axis suppresses multiple myeloma.

Multiple myeloma (MM) remains an incurable hematological malignancy that necessitates the identification of novel therapeutic strategies. Here, we report that intracellular levels of very long chain fatty acids (VLCFAs) control the cytotoxicity of MM chemotherapeutic agents. Inhibition of VLCFA biosynthesis reduced cell death in MM cells caused by the proteasome inhibitor, bortezomib.

Cost-efficient behavioral modeling of antennas by means of global sensitivity analysis and dimensionality reduction.

Computational tools, particularly electromagnetic (EM) solvers, are now commonplace in antenna design. While ensuring reliability, EM simulations are time-consuming, leading to high costs associated with EM-driven procedures like parametric optimization or statistical design. Various techniques have been developed to address this issue, with surrogate modeling methods garnering particular attention due to their potential advantages.

Hierarchical image classification using transfer learning to improve deep learning model performance for amazon parrots.

Numerous studies have proven the potential of deep learning models for classifying wildlife. Such models can reduce the workload of experts by automating species classification to monitor wild populations and global trade. Although deep learning models typically perform better with more input data, the available wildlife data are ordinarily limited, specifically for rare or endangered species.

Genes related to neural tube defects and glioblastoma.

There are many similarities between early embryonic development and tumorigenesis. The occurrence of neural tube defects (NTDs) and glioblastoma (GBM) are both related to the abnormal development of neuroectodermal cells. To obtain genes related to both NTDs and GBM, as well as small molecule drugs with potential clinical application value.

Application of mean maximum Young's modulus value as a new parameter for differential diagnosis of prostate diseases.

Transrectal shear wave elastography (T-SWE) can be used non-invasively to diagnose prostate cancer (PCa) and benign prostatic hyperplasia (BPH). The prostate tissue can be viewed as an ellipsoidal sphere with viscoelastic characterization. Linear elastic model has been used to characterize soft tissues, and the simplification of partial characterization provides incomplete information.

An artificial insurance framework for a hydrogen-based microgrid to detect the advanced cyberattack model.

Microgrid systems have evolved based on renewable energies including wind, solar, and hydrogen to make the satisfaction of loads far from the main grid more flexible and controllable using both island- and grid-connected modes. Albeit microgrids can gain beneficial results in cost and energy schedules once operating in grid-connected mode, such systems are vulnerable to malicious attacks from the viewpoint of cybersecurity. With this in mind, this paper explores a novel advanced attack model named the false transferred data injection (FTDI) attack aiming to manipulatively alter the power flowing from the microgrid to the upstream grid to raise voltage usability probability.

Mendelian randomization analysis does not support a causal influence between lipoprotein(A) and immune-mediated inflammatory diseases.

Observational studies have reported an association between lipoprotein(a) (Lp(a)) and immune-mediated inflammatory diseases (IMIDs). This study used Mendelian Randomization (MR) and multivariable MR (MVMR) to explore the causal relationship between lipoprotein(a) [Lp(a)] and immune-mediated inflammatory diseases (IMIDs). We performed a bidirectional two-sample mendelian randomization analyses based on genome-wide association study (GWAS) summary statistics of Lp(a) and nine IMIDs, specifically celiac disease (CeD), Crohn's disease (CD), ulcerative colitis (UC), inflammatory bowel disease (IBD), multiple sclerosis (MS), psoriasis (Pso), rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), type 1 diabetes (T1D), and summary-level data for lipid traits.

Alzheimer's disease may develop from changes in the immune system, cell cycle, and protein processing following alterations in ribosome function.

The prevalence of Alzheimer's disease (AD) is increasing as society ages. The details of AD pathogenesis have not been fully elucidated, and a comprehensive gene expression analysis of the process leading up to the onset of AD would be helpful for understanding the mechanism. We performed an RNA sequencing analysis on a cohort of 1227 Japanese blood samples, representing 424 AD patients, 543 individuals with mild cognitive impairment (MCI), and 260 cognitively normal (CN) individuals.