Feasibility Study on Additive Manufacturing of Feed Horn Operating in D-Band.

This paper presents the outcomes of a feasibility study on the manufacturing of D-band horn antennas through the Low Power Bed Fusion process. Different prototypes have been realized and tested, showing nice results in terms of the co-polarization component. On the other hand, a spurious cross-polarization component is present in the radiation pattern even in the principal planes, limiting the device to single-polarization applications.

SQM Ageing and Atmospheric Conditions: How Do They Affect the Long-Term Trend of Night Sky Brightness Measurements?

The most widely used radiance sensor for monitoring Night Sky Brightness (NSB) is the Sky Quality Meter (SQM), making its measurement stability fundamental. A method using the Sun as a calibrator was applied to analyse the quality of the measures recorded in the Veneto Region (Italy) and at La Silla (Chile). The analysis mainly revealed a tendency toward reductions in measured NSB due to both instrument ageing and atmospheric variations.

All-Metal Metamaterial-Based Sensor with Novel Geometry and Enhanced Sensing Capability at Terahertz Frequency.

This research proposes an all-metal metamaterial-based absorber with a novel geometry capable of refractive index sensing in the terahertz (THz) range. The structure consists of four concentric diamond-shaped gold resonators on the top of a gold metal plate; the resonators increase in height by 2 µm moving from the outer to the inner resonators, making the design distinctive. This novel configuration has played a very significant role in achieving multiple ultra-narrow resonant absorption peaks that produce very high sensitivity when employed as a refractive index sensor.

L-Shaped Coplanar Strip Dipole Antenna Sensor for Adulteration Detection.

The present study proposes an L-shaped coplanar strip dipole antenna for sensing the presence of adulterants in liquid food samples. The proposed antenna dimensions are optimized using ANSYS HFSS, and a prototype is fabricated and validated. The sensing region is optimized based on the current distribution and measured reflection coefficients.

Implementation and Testing of V2I Communication Strategies for Emergency Vehicle Priority and Pedestrian Safety in Urban Environments.

This paper explores the development and testing of two Internet of Things (IoT) applications designed to leverage Vehicle-to-Infrastructure (V2I) communication for managing intelligent intersections. The first scenario focuses on enabling the rapid and safe passage of emergency vehicles through intersections by notifying approaching drivers via a mobile application. The second scenario enhances pedestrian safety by alerting drivers, through the same application, about the presence of pedestrians detected at crosswalks by a traffic sensor equipped with neural network capabilities.

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.

Sleep Posture Detection via Embedded Machine Learning on a Reduced Set of Pressure Sensors.

Sleep posture is a key factor in assessing sleep quality, especially for individuals with Obstructive Sleep Apnea (OSA), where the sleeping position directly affects breathing patterns: the side position alleviates symptoms, while the supine position exacerbates them. Accurate detection of sleep posture is essential in assessing and improving sleep quality. Automatic sleep posture detection systems, both wearable and non-wearable, have been developed to assess sleep quality.

Virtualized Microphone Array for Moving Sources Mapping.

The acoustic analysis of a moving object, such as in pass-by or fly-over tests, is a very important and demanding issue. These types of analyses make it possible to characterize the machine in quite realistic conditions, but the typical difficulties related to source localization and characterization are usually exacerbated by the need to take into consideration and to compensate for the object movement. In this paper, a technique based on acoustic beamforming is proposed, which is applicable to all those cases where the object under investigation is moving.

An Investigation of the Domain Gap in CLIP-Based Person Re-Identification.

Person re-identification (re-id) is a critical computer vision task aimed at identifying individuals across multiple non-overlapping cameras, with wide-ranging applications in intelligent surveillance systems. Despite recent advances, the domain gap-performance degradation when models encounter unseen datasets-remains a critical challenge. CLIP-based models, leveraging multimodal pre-training, offer potential for mitigating this issue by aligning visual and textual representations.

Effects of the Interface Properties on the Performance of UV-C Photoresistors: Gallium Oxide as Case Study.

Electrical contacts are of the greatest importance as they decisively contribute to the overall performance of photoresistors. Undoped κ-GaO is an ideal material for photoresistors with high performance in the UV-C spectral region thanks to its intrinsic solar blindness and extremely low dark current. The quality assessment of the contact/κ-GaO interface is therefore of paramount importance.

Calibration of Low-Cost Capacitive Soil Moisture Sensors for Irrigation Management Applications.

The calibration of capacitive soil moisture sensors is an essential step towards their integration into smart solutions. This study investigates the calibration of a widely used low-cost capacitive soil moisture sensor (SKU:SEN0193, DFRobot, Shanghai, China) in a loamy silt soil typically found in the Puglia region of Italy. The calibration function was derived from a random sample of 12 sensors, with three soil sample replicas per sensor, each of which had one of five gravimetric soil moisture contents, from relatively dry (5%) to full saturation (40%).

Biomechanics Parameters of Gait Analysis to Characterize Parkinson's Disease: A Scoping Review.

Parkinson's disease (PD) is characterized by a slow, short-stepping, shuffling gait pattern caused by a combination of motor control limitations due to a reduction in dopaminergic neurons. Gait disorders are indicators of global health, cognitive status, and risk of falls and increase with disease progression. Therefore, the use of quantitative information on the gait mechanisms of PD patients is a promising approach, particularly for monitoring gait disorders and potentially informing therapeutic interventions, though it is not yet a well-established tool for early diagnosis or direct assessment of disease progression.

Joint Analysis of Cardiovascular Control and Shear Wave Elastography to Determine Carotid Plaque Vulnerability.

: Carotid artery stenosis (CAS) is one of the main causes of stroke, and the vulnerability of plaque has been proved to be a determinant. A joint analysis of shear wave elastography, a radiofrequency echo-based wall tracking technique for arterial stiffness evaluation, and of autonomic and baroreflex function is proposed to noninvasively, preoperatively assess plaque vulnerability in asymptomatic CAS patients scheduled for carotid endarterectomy. : Elastographic markers of arterial stiffness were derived preoperatively in 78 CAS patients (age: 74.

Prediction Model for POstoperative atriaL fibrillAtion in caRdIac Surgery: The POLARIS Score.

: New-onset postoperative atrial fibrillation (POAF) is the most common complication after cardiac surgery, occurring approximately in one-third of the patients. This study considered all-comer patients who underwent cardiac surgery to build a predictive model for POAF. : A total of 3467 (Center 1) consecutive patients were used as a derivation cohort to build the model.

Are We Ready for Pseudotumors in Total Ankle Arthroplasty? A Case Report.

Pseudotumors are defined as exuberant non-neoplastic inflammatory masses. This condition can be associated with hip and knee arthroplasty but has not been reported in Total Ankle Arthroplasty (TAA). This paper reports a pseudotumor that formed following TAA, highlighting its clinical presentation, management, and histopathology.

Retrospective Analysis of R-COMP Therapy in Patients with Diffuse Large B-Cell Lymphoma (DLBCL): Assessing the Impact of Sample Selection Bias.

: Retrospective studies are often criticized for their susceptibility to case selection bias compared to prospective studies, which include all patients consecutively and are thus less prone to such limitations. However, the larger sample sizes typical of retrospective studies can sometimes offset this drawback. On behalf of the Fondazione Italiana Linfomi (FIL), a substantial retrospective study involving 946 patients was conducted to examine the use of non-pegylated liposomal anthracycline (Myocet).

Predictive Value of the DETECT Algorithm for Pulmonary Arterial Hypertension in Systemic Sclerosis: Findings from an Italian Observational Study.

Pulmonary arterial hypertension (PAH) is a complication of systemic sclerosis (SSc), and several screening algorithms have been proposed for the early detection of PAH in SSc. This study aimed to evaluate the predicting values of the DETECT algorithm for SSc-PAH screening in patients with SSc undergoing right heart catheterization (RHC) based on 2015 ESC/ERS echocardiographic criteria in a real-life setting. Patients fulfilling the 2013 ACR/EULAR classification criteria for SSc and with available data for PAH screening with the DETECT algorithm and the 2015 ESC/ERS echocardiographic criteria were retrospectively enrolled from January to June 2017 and then followed for 5 years.

Dispatcher-Assisted CPR in Italy: A Nationwide Survey of Current Practices and Future Challenges in Emergency Medical Communication Centers.

: Dispatcher-assisted cardiopulmonary resuscitation (DA-CPR) is widely recognized as a critical intervention that significantly reduces no-flow time, improving survival rates in out-of-hospital cardiac arrests (OHCAs). This study evaluates current practices and the organization of DA-CPR in Italian emergency medical communication centers (EMCCs) and identifies areas for improvement. A cross-sectional survey was conducted between April and May 2024 among all Italian EMCCs, achieving a 92.

Three-Dimensional Posture Analysis-Based Modifications After Manual Therapy: A Preliminary Study.

Manual therapies like Osteopathic Manipulative Treatment (OMT) and Gentle Touch Intervention (GTI) are widely employed for improving posture and spinal alignment, but their effects as measured using advanced technologies remain underexplored. This study aims to evaluate the short-term postural effects of these interventions using a non-invasive three-dimensional rasterstereography-based approach, focusing on the cervical arrow, lumbar arrow, kyphotic angle, and lordotic angle parameters. A three-armed randomized controlled trial was conducted with 165 healthy participants.

The Balance Between the Natriuretic Peptides and the Renin-Angiotensin-Aldosterone System in the Preservation of Ideal Cardiovascular Health.

A healthy lifestyle plays a key role for maintaining the cardiovascular health (CVH) status and prevent cardiovascular disease occurrence. In fact, a healthy lifestyle was included in the AHA Cardiovascular Health score (Life's Simple 7 [LS7]), subsequently updated to Life's Simple 8 [LS8]. Apart from the importance of controlling conventional cardiovascular risk factors, increasing evidence supports the contributory role of cardiovascular hormones.

Tinea Capitis Induced by Barber Shaving: Isolation of .

is a common scalp fungal infection with significant implications for public health, particularly in regions where proper hygiene and access to healthcare are limited. Emerging evidence suggests that this disease, particularly in young male individuals, may be related to certain unsanitary practices in barbershop settings, such as the use of contaminated shaving equipment. To increase awareness of the risk of scalp dermatophyte infections by disclosing different cases of that had arisen shortly after hairdressing procedures and providing a comprehensive review of the existing literature.

Multilocular Thymic Cyst with High F Fluorodeoxyglucose Uptake and Rheumatoid Arthritis: A Case Report.

multilocular thymic cysts are uncommon acquired cysts in the anterior mediastinum caused by incomplete thymic involution. They may be associated with autoimmune diseases, such as rheumatoid arthritis and systemic sclerosis. a 61-year-old man with a history of rheumatoid arthritis for 8 years was referred to our unit because of a multiloculated mass in the anterior mediastinum with a high F fluorodeoxyglucose uptake at PET-CT scan.

Advancing Insights into Pediatric Macular Diseases: A Comprehensive Review.

Pediatric macular disorders are a diverse group of inherited retinal diseases characterized by central vision loss due to dysfunction and degeneration of the macula, the region of the retina responsible for high-acuity vision. Common disorders in this category include Stargardt disease, Best vitelliform macular dystrophy, and X-linked retinoschisis. These conditions often manifest during childhood or adolescence, with symptoms such as progressive central vision loss, photophobia, and difficulty with fine visual tasks.

Prioritizing Patient Selection in Clinical Trials: A Machine Learning Algorithm for Dynamic Prediction of In-Hospital Mortality for ICU Admitted Patients Using Repeated Measurement Data.

A machine learning prognostic mortality scoring system was developed to address challenges in patient selection for clinical trials within the Intensive Care Unit (ICU) environment. The algorithm incorporates Red blood cell Distribution Width (RDW) data and other demographic characteristics to predict ICU mortality alongside existing ICU mortality scoring systems like Simplified Acute Physiology Score (SAPS). The developed algorithm, defined as a Mixed-effects logistic Random Forest for binary data (MixRFb), integrates a Random Forest (RF) classification with a mixed-effects model for binary outcomes, accounting for repeated measurement data.

Investigating Tumor-Infiltrating Lymphocytes in the Microenvironment of Oral Squamous Cell Carcinoma (OSCC) and Oral Potentially Malignant Disorders (OPMDs): Can They Shift Our Perspective? A Scoping Review.

: Tumor-infiltrating lymphocytes (TILs) play a crucial role in the tumor microenvironment (TME), influencing the progression, prognosis, and response to treatment in oral squamous cell carcinoma (OSCC) and its precursors, oral potentially malignant disorders (OPMDs). This scoping review assesses the current literature on TILs in the TME of OSCC and OPMDs, aiming to identify trends and gaps in the research. : A comprehensive search was performed in PubMed, using the following query terms: "Tumor Microenvironment AND (mouth neoplasms OR oral lichen OR leukoplakia OR oral lichenoid OR dysplasia OR GVHD OR lupus)".