The Anthelmintic Activity of Lam. Against Gastrointestinal Nematodes of Sheep: Rosmarinic Acid Quantification and In Silico Tubulin-Binding Studies.

Gastrointestinal nematodes (GINs) inflict significant economic losses on sheep and goat farming globally due to reduced productivity and the development of anthelmintic resistance. Sustainable control strategies are urgently needed including the exploration of medicinal plants as safer alternatives to chemical anthelmintics. This genus of plants is used for anti-inflammatory, antioxidant, and antimicrobial activities.

Mitochondrial DNA Structure in .

Kinetoplastids display a single, large mitochondrion per cell, with their mitochondrial DNA referred to as the kinetoplast. This kinetoplast is a network of concatenated circular molecules comprising a maxicircle (20-64 kb) and up to thousands of minicircles varying in size depending on the species (0.5-10 kb).

: Genomic Diversity and Structure.

is the causative agent of Chagas disease, a neglected tropical disease, and one of the most important parasitic diseases worldwide. The first genome of was sequenced in 2005, and its complexity made assembly and annotation challenging. Nowadays, new sequencing methods have improved some strains' genome sequence and annotation, revealing this parasite's extensive genetic diversity and complexity.

Genome-Wide Approach Identifies Natural Large-Fragment Deletion in ASFV Strains Circulating in Italy During 2023.

African swine fever (ASF), characterized by high mortality rates in infected animals, remains a significant global veterinary and economic concern, due to the widespread distribution of ASF virus (ASFV) genotype II across five continents. In this study, ASFV strains collected in Italy during 2022-2023 from two geographical clusters, North-West (Alessandria) and Calabria, were fully sequenced. In addition, an in vivo experiment in pigs was performed.

, , and : An Emerging Triad of Vector-Borne Co-Infections?

Canine leishmaniosis (CanL), caused by the protozoan and transmitted primarily by phlebotomine sand flies, poses significant challenges for zoonotic disease management [...

Intratumoral in Pancreatic Cancer: Current and Future Perspectives.

The intratumoral microbiome plays a significant role in many cancers, such as lung, pancreatic, and colorectal cancer. Pancreatic cancer (PC) is one of the most lethal malignancies and is often diagnosed at advanced stages. , an anaerobic Gram-negative bacterium primarily residing in the oral cavity, has garnered significant attention for its emerging role in several extra-oral human diseases and, lately, in pancreatic cancer progression and prognosis.

Field-Programmable Gate Array (FPGA)-Based Lock-In Amplifier System with Signal Enhancement: A Comprehensive Review on the Design for Advanced Measurement Applications.

Lock-in amplifiers (LIAs) are critical tools in precision measurement, particularly for applications involving weak signals obscured by noise. Advances in signal processing algorithms and hardware synthesis have enabled accurate signal extraction, even in extremely noisy environments, making LIAs indispensable in sensor applications for healthcare, industry, and other services. For instance, the electrical impedance measurement of the human body, organs, tissues, and cells, known as bioelectrical impedance, is commonly used in biomedical and healthcare applications because it is non-invasive and relatively inexpensive.

An Improved Speed Sensing Method for Drive Control.

Variable-speed electrical drive control typically relies upon a two-loop scheme, one for torque/speed and another for stator current control. In modern drive control methods, the actual mechanical speed is needed for both loops. In practical applications, the speed is often acquired by incremental rotary encoders.

A Comprehensive Review of Vision-Based Sensor Systems for Human Gait Analysis.

Analysis of the human gait represents a fundamental area of investigation within the broader domains of biomechanics, clinical research, and numerous other interdisciplinary fields. The progression of visual sensor technology and machine learning algorithms has enabled substantial developments in the creation of human gait analysis systems. This paper presents a comprehensive review of the advancements and recent findings in the field of vision-based human gait analysis systems over the past five years, with a special emphasis on the role of vision sensors, machine learning algorithms, and technological innovations.

A Measurement Approach for Characterizing Temperature-Related Emissivity Variability in High-Emissivity Materials.

The effective knowledge of emissivity is pivotal to obtain reliable temperature measurements through non-contact techniques like pyrometry and thermal imaging. This is fundamental in high-temperature applications since material emissivity strongly depends on temperature conditions. Given the recent attention in high-temperature applications, especially for replacing fossil-fuel-dependent heating with greener solutions in energy-intensive processes, renewed interest in characterizing materials radiant properties rose.

Fault Detection in Induction Machines Using Learning Models and Fourier Spectrum Image Analysis.

Induction motors are essential components in industry due to their efficiency and cost-effectiveness. This study presents an innovative methodology for automatic fault detection by analyzing images generated from the Fourier spectra of current signals using deep learning techniques. A new preprocessing technique incorporating a distinctive background to enhance spectral feature learning is proposed, enabling the detection of four types of faults: healthy motor coupled to a generator with a broken bar (HGB), broken rotor bar (BRB), race bearing fault (RBF), and bearing ball fault (BBF).

High-Performance Optical Fiber Displacement Sensor with Extended Linear Range and Sensitivity.

Optical Fiber Displacement Sensors (OFDSs) provide several advantages over conventional sensors, including their compact size, flexibility, and immunity to electromagnetic interference. These features make OFDSs ideal for use in confined spaces, such as turbines, where direct laser access is impossible. A critical aspect of OFDS performance is the geometry of the fiber bundle, which influences key parameters such as sensitivity, range, and dead zones.

Graphene/TiO Heterostructure Integrated with a Micro-Lightplate for Low-Power NO Gas Detection.

Low-power gas sensors that can be used in IoT (Internet of Things) systems, consumer devices, and point-of-care devices will enable new applications in environmental monitoring and health protection. We fabricated a monolithic chemiresistive gas sensor by integrating a micro-lightplate with a 2D sensing material composed of single-layer graphene and monolayer-thick TiO. Applying ultraviolet (380 nm) light with quantum energy above the TiO bandgap effectively enhanced the sensor responses.

Parallelized SLAM: Enhancing Mapping and Localization Through Concurrent Processing.

Simultaneous Localization and Mapping (SLAM) systems face high computational demands, hindering their real-time implementation on low-end computers. An approach to addressing this challenge involves offline processing, i.e.

Spatial Characterization of Woody Species Diversity in Tropical Savannas Using GEDI and Optical Data.

Developing the capacity to monitor species diversity worldwide is of great importance in halting biodiversity loss. To this end, remote sensing plays a unique role. In this study, we evaluate the potential of Global Ecosystem Dynamics Investigation (GEDI) data, combined with conventional satellite optical imagery and climate reanalysis data, to predict in situ alpha diversity (Species richness, Simpson index, and Shannon index) among tree species.

Do Power Meter Data Depend on the Device on Which They Are Collected? Comparison of Eleven Different Recordings.

This study evaluated the influence of cycle computers on the accuracy of power and cadence data. The research was divided into three phases: (1) a graded exercise test (GXT) at different constant loads to record power and cadence data; (2) a self-paced effort lasting 1 min to measure mean maximal power output (MMP); and (3) a short all-out effort. Eight cyclists completed the GXT, ten participated in the 1-min test, and thirty participated in the sprint effort.

Effects of Spinal Cord Stimulation in Patients with Small Fiber and Associated Comorbidities from Neuropathy After Multiple Etiologies.

The aim of this study was to evaluate the effects of spinal cord stimulation (SCS) on pain, neuropathic symptoms, and other health-related metrics in patients with chronic painful peripheral neuropathy (PN) from multiple etiologies. A prospective single center observational longitudinal cohort study assessed SCS efficacy from April 2023 to May 2024, with follow-ups at 2, 4, 6, and 12 months in 19 patients suffering from the painful polyneuropathy of diverse etiologies: diabetic (DPN), idiopathic (CIAP), chemotherapy-induced (CIPN), and others. Patients were implanted with a neurostimulator (WaveWriter Alpha, Boston Scientific Corporation, Valencia, CA, USA) and percutaneous leads targeting the lower limbs (T10-T11) and, if necessary, the upper limbs (C4-C7).

Comparison of COVID-19 and Non-COVID-19 Tracheostomised Patients: Complications, Survival, and Mortality Risk Factors.

To compare the outcomes of tracheostomised COVID-19 patients with non-COVID-19 tracheostomised patients to identify factors influencing severity and mortality. A retrospective, single-centre cohort study was conducted on COVID-19 tracheostomised patients admitted from May 2020 to February 2022, compared with a cohort of non-COVID-19 tracheostomised patients. COVID-19 tracheostomised patients had a higher mortality rate (50% vs.

Unmet Needs in the Management of Chronic Kidney Disease-Associated Pruritus and the Characteristics of the Ideal Treatment: A Spanish Cross-Sectional Survey from a Multidisciplinary Perspective.

Chronic kidney disease-associated pruritus (CKD-aP) is underdiagnosed and not fully understood by healthcare professionals, which leads to poor patient management and impacts patients' quality of life (QoL). The aim of this study was to analyse unmet needs in CKD-aP management and explore the attributes/characteristics that the ideal CKD-aP treatment should have from the perspective of a group of nephrologists, hospital pharmacists, nurses, patient representatives, and regional health authorities in Spain. A descriptive, cross-sectional study was conducted using an e-survey including ad hoc questions (6-point Likert scale) related to unmet needs in CKD-aP and best-worst scaling (BWS) to prioritise the attributes/characteristics of the ideal CKD-aP treatment.

Diagnostic Cut-Off Values Based on Lipid Layer Pattern for Dry Eye Disease Subtypes Assessment.

: The aim of the present study was to establish a cut-off value of the Lipid Layer Pattern (LLP) between participants with different subtypes of Dry Eye Disease (DED) including Deficient Dry Eye (ADDE), Evaporative Dry Eye (EDE), and Mixed Dry Eye (MDE). : 240 participants diagnosed with DED according to the Tear Film and Ocular Surface Society in the Dry Eye Workshop II guidelines were included in the study. Tear Meniscus Height (TMH) using the Tearscope illumination and Meibomian Gland Loss Area (MGLA) using the Keratograph 5M were assessed to categorize the participants into an ADDE group, EDE group, or MDE group.

Evaluating ChatGPT-4 for the Interpretation of Images from Several Diagnostic Techniques in Gastroenterology.

Several artificial intelligence systems based on large language models (LLMs) have been commercially developed, with recent interest in integrating them for clinical questions. Recent versions now include image analysis capacity, but their performance in gastroenterology remains untested. This study assesses ChatGPT-4's performance in interpreting gastroenterology images.

FEV1/FEV6 Cutoff Points to Avoid False Negatives When Using Portable Devices, PICO-6 and COPD-6, in COPD Detection in Primary Healthcare Services.

: Chronic obstructive pulmonary disease (COPD) is a frequent but underdiagnosed disease, primarily due to the lack of access to forced spirometry (FS) in primary care. Portable, easy-to-use expiratory flow meters like Piko-6 and COPD-6 that measure FEV, FEV, and FEV/FEV ratio provide an alternative. Given that Piko-6 and COPD-6 devices measure FEV but not FVC, the aim of the study is to determine the optimal cutoff value for the FEV/FEV ratio of each device to avoid false negatives when these devices are used for COPD screening in primary care (PC).

Pain Decrement Using Radiofrequency Therapy After Knee Platelet-Rich Plasma Injections Within First 72 h in Active Populations with Patellar Chondropathy.

To determine whether 448 kHz capacitive-resistive monopolar radiofrequency (CRMR) after platelet-rich-plasma (PRP) injections can further reduce pain sensation within the first 72 h in an active population with patellar chondropathy. One-hundred fifty-three active patients with patellar chondropathy grade II-III were followed for three days after PRP injections with and without CRMR under a control-placebo study. They were clinically evaluated for pain sensation using a visual analog scale ranging from zero (no pain sensation) to ten (highest pain sensation).

Spanish Validation of the Problem Area in Diabetes-Pediatric Version Survey and Its Weak Association with Metabolic Control Parameters in Pediatric Diabetes: A Cross-Sectional Multicenter Study.

: Type 1 diabetes mellitus (T1DM) in pediatric patients often leads to emotional distress, impacting self-management. The PAID-Peds survey measures diabetes-related emotional burden but lacks a validated Spanish version. This study aimed to validate the Spanish PAID-Peds survey in children and adolescents with T1DM and correlate it with diabetic metabolic control parameters.

Intimate Partner Violence: The Relationship Between the Stages of Change, Maintenance Factors, and the Decision to Keep or Leave the Violent Partner.

Violence in intimate relationships (IPV) is understood as one of the most common forms of violence, being maintained by cultural habits and customs, and legitimized from generation to generation. This study aims at a comprehensive review of the literature on IPV, the relationship between the stages of change, maintenance factors, and the decision to keep or leave the violent partner. A comprehensive literature search was conducted to identify journal articles focused on IPV, following online databases as well as a manual review from relevant peer-reviewed journals.