Impact of Dietary-Forage-to-Concentrate Ratio on Podolian Young Bulls' Performance and Nutritional Properties of Meat.

Animal feeding has a great impact on the management of beef farms, also affecting the nutritional properties of the meat. Therefore, in this study, the following two forage-to-concentrate ratios were tested on twenty farmed Podolian young bulls: high forage-to-concentrate (HF:C) ratio of 65:35 vs. low forage-to-concentrate (LF:C) ratio of 45:55.

Use of Immunostimulants in Shrimp Farming-A Bioeconomic Perspective.

Aquaculture is the fastest-growing food industry worldwide because it allows faster intensive production in a limited space and short time. However, the trade-off of this production scheme has led to infectious disease outbreaks that harm food production with economic impacts. Immunostimulants have entered the industry to fight against diseases by enhancing the immune system and conferring better protection against pathogens.

Urogenital Cancer Epidemiology in Poland (1980-2020): A Narrative Review.

Despite advances in prophylaxis, early diagnosis, and treatment, urogenital cancers represent a significant challenge to public health in Poland due to their relatively high prevalence and mortality rates. This narrative review aims to explore contemporary evidence on the epidemiology of urogenital cancers in Poland, such as prostate cancer, bladder cancer, kidney cancer, testicular cancer, and penile cancer, focusing on current and historical status and trends in the broader context of healthcare delivery. The literature consistently indicates that urogenital cancer continues to be a significant contributor to cancer incidence and mortality rates in Poland.

Predicting Early Death in Head and Neck Cancer-A Pilot Study.

The aim of this study was to evaluate biomarkers and biological characteristics of tumor biopsies from patients with head and neck cancer (HNC) to assess the risk of early death. Furthermore, we analyzed whether any combination of markers could be used for the prognostication of death within six months after cancer diagnosis. Patients diagnosed with HNC, receiving curative treatment decision at a multidisciplinary tumor board meeting, and who died within six months of diagnosis were included in this study.

Impact of Respiratory Support During Hospitalization on Functional Outcomes in Long COVID: A Post-Hoc Analysis of a Prospective Cohort Study.

Post-acute COVID-19 syndrome (PACS) is characterized by the persistence of one or more symptoms after the acute phase, leading to physical disabilities. This study aims to investigate whether the functional capacity and respiratory function 120 days post-COVID-19 differed according to the level of respiratory support needed during hospitalization in acute COVID-19 in the pre-vaccine rollout period. We followed up with 118 COVID-19 hospitalized patients in the acute phase until 120 days post-acute disease, with patients split into a Non-Invasive Oxygen Therapy Group (OTG, n = 72), Invasive Mechanical Ventilation Group (IMV, n = 12), and Room Air Group (RAG, n = 34), assessing the body composition, respiratory muscle strength, pulmonary function, functional capacity, and muscle strength at the follow-up visit.

Validation of the Arabic Version of the Maslach Burnout Inventory-HSS Among Tunisian Medical Residents (A-MBI-MR): Factor Structure, Construct Validity, Reliability, and Gender Invariance.

: Burnout is a major problem for physical and mental health of medical residents. The key for maintaining well-being and quality of care of residents is the assessing tool. The study evaluated the psychometric properties of the Arabic version of the Maslach Burnout Inventory Human Services Survey (MBI-HSS) among Tunisian medical residents by assessing its factor structure, construct validity, reliability, and gender invariance.

METTL3-dependent DLG2 inhibits the malignant progression of cervical cancer by inactivating the Hippo/YAP signaling.

Background: Discs large homolog 2 (DLG2) has been implicated in cancer development, yet its role in cervical cancer remains unclear. This study aims to explore the regulatory mechanism of DLG2 in cervical cancer and its clinical implications.

Methods: Quantitative reverse transcription polymerase chain reaction and western blotting assays were employed to detect RNA and protein expression, respectively.

miR-224 activates cancer-associated fibroblasts to enhance lung cancer cell migration and invasion by targeting Akirin1.

Cancer-associated fibroblasts (CAFs) actively contribute to the formation of tumor-supportive microenvironments, thereby promoting cancer progression and impacting therapeutic outcomes. This study utilized global microRNA (miRNA) expression profiling to identify specific miRNAs responsible for reprogramming normal lung fibroblasts (LFs) into CAFs. miR-224 demonstrates increased expression in CAFs, and its levels are elevated in lung tumors compared to those in normal tissues, according to data from public databases.

Metabolic modeling identifies determinants of thermal growth responses in Arabidopsis thaliana.

Temperature is a critical environmental factor affecting nearly all plant processes, including growth, development, and yield. Yet, despite decades of research, we lack the ability to predict plant performance at different temperatures, limiting the development of climate-resilient crops. Further, there is a pressing need to bridge the gap between the prediction of physiological and molecular traits to improve our understanding and manipulation of plant temperature responses.

Clinical and microbiological characteristics of invasive diseases due to Haemophilus influenzae in the Minami Ibaraki Area, Japan.

Introduction: We investigated clinical and microbiological characteristics of invasive Haemophilus influenzae disease (IHD) during recent 20 years in the Minami Ibaraki Area.

Methods: H. influenzae strains isolated from the blood and the cerebrospinal fluid in 5 hospitals located in this area between 2001 and 2020 (the pre-vaccination period [PreVP]: 2001-2010, the post-vaccination period [PostVP]: 2011-2020) were consecutively collected.

Proton minibeam (pMBRT) radiation therapy: experimental validation of Monte Carlo dose calculation in the RayStation TPS.

Proton minibeam radiation therapy (pMBRT) dose profile is characterized by highly heterogeneous dose in the plane perpendicular to the beam direction and rapidly changing depth dose profiles. Typically, dose measurements are benchmarked against in-house Monte Carlo simulation tools. It is essential to have a treatment planning system (TPS) that can accurately predict pMBRT doses in tissue and be available via commercial platform for preclinical and clinical use.

A Set of Three Gd Spin Labels with Methanethiosulfonyl Groups for Bioconjugation Covering a Wide Range of EPR Line Widths.

Spin labels based on Gd complexes are important tools for the elucidation of the structure, dynamics and interaction of biomolecules by electron paramagnetic resonance (EPR) spectroscopy. Their EPR spectroscopic properties line width and relaxation times influence their performance in a particular application. To be able to apply a complex well-suited for a specific application, a set of Gd complexes with different EPR spectroscopic properties ready-made for spin labeling will be highly useful.

Non-targeted metabolomics-based molecular networking enables the chemical characterization of Rumex sanguineus, a wild edible plant.

Introduction And Objective: Rumex sanguineus, a traditional medicinal plant of the Polygonaceae family, is gaining popularity as an edible resource. However, despite its historical and nutritional significance, its chemical composition remains poorly understood. To deepen the understanding of the of Rumex sanguineus composition, an in-depth analysis using non-targeted, mass spectrometry-based metabolomics was performed.

Efficient stochastic simulation of piecewise-deterministic Markov processes and its application to the Morris-Lecar model of neural dynamics.

Piecewise-deterministic Markov processes combine continuous in time dynamics with jump events, the rates of which generally depend on the continuous variables and thus are not constants. This leads to a problem in a Monte-Carlo simulation of such a system, where, at each step, one must find the time instant of the next event. The latter is determined by an integral equation and usually is rather slow in numerical implementation.

Stress resilience in plants: the complex interplay between heat stress memory and resetting.

Heat stress (HS) poses a major challenge to plants and agriculture, especially during climate change-induced heatwaves. Plants have evolved mechanisms to combat HS and remember past stress. This memory involves lasting changes in specific stress responses, enabling plants to better anticipate and react to future heat events.

Active Moss Biomonitoring of Mercury in the Mine-Polluted Area of Abbadia San Salvatore (Mt. Amiata, Central Italy).

Active biomonitoring of mercury (Hg) using non-indigenous moss bags was performed for the first time within and around the former Hg mining area of Abbadia San Salvatore (Mt. Amiata, central Italy). The purpose was to discern the Hg spatial distribution, identify the most polluted areas, and evaluate the impacts of dry and wet deposition on mosses.

Does Clostridium Perfringens Epsilon Toxin Mimic an Auto-Antigen Involved in Multiple Sclerosis?

Multiple sclerosis (MS) is a chronic immune-mediated neurological disorder, characterized by progressive demyelination and neuronal cell loss in the central nervous system. Many possible causes of MS have been proposed, including genetic factors, environmental triggers, and infectious agents. Recently, epsilon toxin (ETX) has been incriminated in MS, based initially on the isolation of the bacteria from a MS patient, combined with an immunoreactivity to ETX.

Analysis of the Feasibility of the OrthoNail Hybrid Intramedullary Implant in the Human Body with Respect to Material Durability.

This study focuses on the development and evaluation of the OrthoNail hybrid intramedullary implant for lower limb lengthening in patients requiring significant skeletal reconstruction. The implant addresses the challenges in load-bearing during rehabilitation, providing a robust solution that is capable of supporting physiological loads. Mechanical tests, including axial compression, tension, torsion, and 3,4-point bending, determined the implant's load capacity and fatigue resistance, while finite element analysis assessed stress distributions in bone tissue and around screw holes during single-leg stance, with boundary conditions derived from Orthoload database data.

Skin Lesion Classification Through Test Time Augmentation and Explainable Artificial Intelligence.

Despite significant advancements in the automatic classification of skin lesions using artificial intelligence (AI) algorithms, skepticism among physicians persists. This reluctance is primarily due to the lack of transparency and explainability inherent in these models, which hinders their widespread acceptance in clinical settings. The primary objective of this study is to develop a highly accurate AI-based algorithm for skin lesion classification that also provides visual explanations to foster trust and confidence in these novel diagnostic tools.

Remote-Customized Telecontrol for Patients with Rheumatoid Arthritis: The iARPlus (Innovative Approach in Rheumatology) Initiative.

. Telecontrol approaches for rheumatoid arthritis (RA) management aim to enhance patient outcomes. This pilot study assessed whether the Rheumatoid Arthritis Impact of Disease (RAID) approach could be used during teleconsultations to monitor RA disease activity through a web-based platform called iARPlus (Innovative Approach in Rheumatology).

Simultaneous Encapsulation of Probiotic Bacteria (, and ) in Calcium Alginate Hydrogels.

Encapsulation in alginate hydrogel microspheres is an effective method for protecting and improving the survival of lactic acid bacteria in different environments. This research aims to expand the knowledge about the structure/property relationship of calcium alginate microspheres loaded with a mixture of autochthonous probiotic bacteria ( and ). A novel hydrogel formulation (FORMLAB) was prepared by ionic gelation and the molecular interactions between the FORMLAB constituents, surface morphology, structure, swelling degree, and release profile were characterized.

Evaluation of Internal and Marginal Accuracy (Trueness and Precision) of Laminates Using DLP Printing and Milling Methods.

This study evaluated the internal and marginal accuracy (trueness and precision) of zirconia laminate veneers fabricated using the DLP printing and milling method, employing 3D analysis software program. The maxillary central incisor tooth of a typodont model was prepared by a dentist and scanned using a desktop scanner. An anatomical zirconia laminate was designed using computer-aided design (CAD) software and saved in a standard tessellation language (STL) format.

Subdiffusion Equation with Fractional Caputo Time Derivative with Respect to Another Function in Modeling Superdiffusion.

Superdiffusion is usually defined as a random walk process of a molecule, in which the time evolution of the mean-squared displacement, σ2, of the molecule is a power function of time, σ2(t)∼t2/γ, with γ∈(1,2). An equation with a Riesz-type fractional derivative of the order γ with respect to a spatial variable (a fractional superdiffusion equation) is often used to describe superdiffusion. However, this equation leads to the formula σ2(t)=κt2/γ with κ=∞, which, in practice, makes it impossible to define the parameter γ.

Liquid biopsy technologies: innovations and future directions in breast cancer biomarker detection.

Globally, breast cancer is the most frequent type of cancer, and its early diagnosis and screening can significantly improve the probability of survival and quality of life of those affected. Liquid biopsy-based targets such as circulating tumor cells, circulating tumor DNA, and exosomes have been instrumental in the early discovery of cancer, and have been found to be effective in stage therapy, recurrence monitoring, and drug selection. Biosensors based on these target related biomarkers convert the tested substances into quantifiable signals such as electrical and optical signals through signal transduction, which has the advantages of high sensitivity, simple operation, and low invasiveness.