Seizure detection via reservoir computing in MoS-based charge trap memory devices.

Neurological disorders are a substantial global health burden, affecting millions of people worldwide. A key challenge in developing effective treatments and preventive measures is the realization of low-power wearable systems with early detection capabilities. Traditional strategies rely on machine learning algorithms, but their computational demands often exceed what miniaturized systems can provide.

Towards Green Dentistry: Evaluating the Potential of 4D Printing for Sustainable Orthodontic Aligners with a Reduced Carbon Footprint.

Clear aligners have transformed orthodontic care by providing an aesthetic, removable alternative to traditional braces. However, their significant environmental footprint, contributing to approximately 15,000 tons of plastic waste annually, poses a critical challenge. To address this issue, advancements in 4D printing have introduced "smart" aligners with shape memory properties, enabling reshaping and reducing the number of aligners required per treatment.

Hemispherical Retina Emulated by Plasmonic Optoelectronic Memristors with All-Optical Modulation for Neuromorphic Stereo Vision.

Binocular stereo vision relies on imaging disparity between two hemispherical retinas, which is essential to acquire image information in three dimensional environment. Therefore, retinomorphic electronics with structural and functional similarities to biological eyes are always highly desired to develop stereo vision perception system. In this work, a hemispherical optoelectronic memristor array based on Ag-TiO nanoclusters/sodium alginate film is developed to realize binocular stereo vision.

Pre-Pandemic Predictivity of Anxious-Depressive Symptoms in Post-Surgical Traumatic Distress in Hysterectomy for Benign Disease and COVID-19 Outbreak: A Case-Control Study.

The severe acute respiratory syndrome coronavirus (SARS-CoV-2) pandemic led to several needed containment measures that conditioned the onset of depressive, anxiety, and post-traumatic stress symptoms in the population. These symptoms, especially if not diagnosed and treated, can also occur in patients undergoing medical care or surgery, with a high impact on people's lives and causing low adherence to treatment. The study evaluates whether the spread of the coronavirus disease 2019 (COVID-19) worsened the onset of post-surgical distress and symptoms of anxiety and depression in a population undergoing hysterectomy for benign disease during the pandemic era, comparing it with a population with the same characteristics but recruited before COVID-19.

Memristive tonotopic mapping with volatile resistive switching memory devices.

To reach the energy efficiency and the computing capability of biological neural networks, novel hardware systems and paradigms are required where the information needs to be processed in both spatial and temporal domains. Resistive switching memory (RRAM) devices appear as key enablers for the implementation of large-scale neuromorphic computing systems with high energy efficiency and extended scalability. Demonstrating a full set of spatiotemporal primitives with RRAM-based circuits remains an open challenge.

IELSG38: phase II trial of front-line chlorambucil plus subcutaneous rituximab induction and maintenance in mucosa-associated lymphoid tissue lymphoma.

The IELSG38 trial was conducted to investigate the effects of subcutaneous (SC) rituximab on the complete remission (CR) rate and the benefits of SC rituximab maintenance in patients with extranodal marginal zone lymphoma (MZL) who received front-line treatment with chlorambucil plus rituximab. Study treatment was an induction phase with oral chlorambucil 6 mg/m2/day on weeks 1-6, 9-10, 13-14, 17-18, and 21-22, and intravenous rituximab 375 mg/m2 on day 1 of weeks 1-4, and 1,400 mg SC on weeks 9, 13, 17, and 21. Then, a maintenance phase followed with rituximab administered at 1,400 mg SC every two months for two years.

The Impact of Covid-19 Pandemic on Mental Health Services: A Comparison Between First Psychiatric Consultations Before and After the Pandemic.

Objective: A high rate of onset or exacerbation of several mental disorders has been observed during the COVID-19 pandemic. However, the risk contributing to mental distress during the pandemic remains unclear. The study aims to evaluate the risk of the onset of mental disorders by comparing the number of requests for the first psychiatric consultation before and after the COVID-19 pandemic at the psychiatric outpatient services of Varese, a small town in Northern Italy.

Hybrid 2D-CMOS microchips for memristive applications.

Exploiting the excellent electronic properties of two-dimensional (2D) materials to fabricate advanced electronic circuits is a major goal for the semiconductor industry. However, most studies in this field have been limited to the fabrication and characterization of isolated large (more than 1 µm) devices on unfunctional SiO-Si substrates. Some studies have integrated monolayer graphene on silicon microchips as a large-area (more than 500 µm) interconnection and as a channel of large transistors (roughly 16.

A self-adaptive hardware with resistive switching synapses for experience-based neurocomputing.

Neurobiological systems continually interact with the surrounding environment to refine their behaviour toward the best possible reward. Achieving such learning by experience is one of the main challenges of artificial intelligence, but currently it is hindered by the lack of hardware capable of plastic adaptation. Here, we propose a bio-inspired recurrent neural network, mastered by a digital system on chip with resistive-switching synaptic arrays of memory devices, which exploits homeostatic Hebbian learning for improved efficiency.

The North Italian innovative project for common psychiatric disorders: Evaluating the output of a treatment model of an outpatient clinic for anxiety and depression.

Depressive disorders were considered the first causes of disability worldwide as early as 2018. The outpatient clinic for anxiety and depression at the University Hospital of Varese represents a service that fully responds to the growing number of requests. Approximately 1,350 medical records have been opened from 2010 to December 2021.

Efficacy of short-term psychodynamic psychotherapy (STPP) in depressive disorders: A systematic review and meta-analysis.

Introduction: Depression is one of the leading diseases globally. It can severely interfere with daily and occupational functioning of people affected. Both pharmacological interventions and psychotherapy are used for adult depression.

Ionic-electronic halide perovskite memdiodes enabling neuromorphic computing with a second-order complexity.

With increasing computing demands, serial processing in von Neumann architectures built with zeroth-order complexity digital circuits is saturating in computational capacity and power, entailing research into alternative paradigms. Brain-inspired systems built with memristors are attractive owing to their large parallelism, low energy consumption, and high error tolerance. However, most demonstrations have thus far only mimicked primitive lower-order biological complexities using devices with first-order dynamics.

Pharmacological Interventions Combined Treatment of Depression: A Prospective Study.

Introduction: Depression is a common disease worldwide but still, the role of combined treatment (pharmacological and psychological interventions) needs to be clarified. The study aims to compare the effectiveness of integrated treatment versus exclusive pharmacological intervention of depression.

Materials And Methods: The observational prospective study provided the collection of data relating to outpatients evaluated through the administration of the Hamilton Depression Rating Scale (HDRS), the Hamilton Anxiety Rating Scale (HARS), and the Clinical Global Impression Scale (CGI) both at T0 and at a 3-month follow up visit (T1).

Reservoir Computing with Charge-Trap Memory Based on a MoS Channel for Neuromorphic Engineering.

Novel memory devices are essential for developing low power, fast, and accurate in-memory computing and neuromorphic engineering concepts that can compete with the conventional complementary metal-oxide-semiconductor (CMOS) digital processors. 2D semiconductors provide a novel platform for advanced semiconductors with atomic thickness, low-current operation, and capability of 3D integration. This work presents a charge-trap memory (CTM) device with a MoS channel where memory operation arises, thanks to electron trapping/detrapping at interface states.

An energy-efficient in-memory computing architecture for survival data analysis based on resistive switching memories.

One of the objectives fostered in medical science is the so-called precision medicine, which requires the analysis of a large amount of survival data from patients to deeply understand treatment options. Tools like machine learning (ML) and deep neural networks are becoming a de-facto standard. Nowadays, computing facilities based on the Von Neumann architecture are devoted to these tasks, yet rapidly hitting a bottleneck in performance and energy efficiency.

A CMOS-memristor hybrid system for implementing stochastic binary spike timing-dependent plasticity.

This paper describes a fully experimental hybrid system in which a [Formula: see text] memristive crossbar spiking neural network (SNN) was assembled using custom high-resistance state memristors with analogue CMOS neurons fabricated in 180 nm CMOS technology. The custom memristors used NMOS selector transistors, made available on a second 180 nm CMOS chip. One drawback is that memristors operate with currents in the micro-amperes range, while analogue CMOS neurons may need to operate with currents in the pico-amperes range.

Long-term efficacy, safety and neurotolerability of MATRix regimen followed by autologous transplant in primary CNS lymphoma: 7-year results of the IELSG32 randomized trial.

219 HIV-negative adults ≤70 years with primary CNS lymphoma (PCNSL) were enrolled in the randomized IELSG32 trial. Enrolled patients were randomly assigned to receive methotrexate-cytarabine (arm A), or methotrexate-cytarabine-rituximab (B), or methotrexate-cytarabine-thiotepa-rituximab (MATRix; arm C). A second randomization allocated patients with responsive/stable disease to whole-brain irradiation (WBRT) or carmustine-thiotepa-conditioned autologous transplantation (ASCT).

Inflammatory Biomarker and Response to Antidepressant in Major Depressive Disorder: a Systematic Review and Meta-Analysis.

Inadequate response to antidepressant treatment, in a significant proportion of patients diagnosed with Major Depressive Disorder, contributes to the large burden of disability associated with the disease; thus, predicting treatment response is one of the most important challenge for clinicians who deal with depressed patients. The cytokine hypothesis of depression suggests that altered pheripheral cytokine levels are involved in the pathophysiology of depressive disorder and in modulating response to treatment. Present meta-analysis aimed to investigate the association between cytokine levels at baseline and response to antidepressant therapies.

Efficacy and tolerability of therapies set under pharmacogenetic tools suggestions: A systematic review with meta-analysis about mood disorders.

Background: Bipolar Disorder (BD) and Major Depressive Disorder (MDD) have a huge impact on functioning and quality of life; moreover, they are linked to extensive direct and indirect costs. This systematic review with meta-analysis aims to evaluate the utility of pharmacogenetic tests (PGT) in terms of efficacy and tolerability into the routine clinical treatment of mood disorders.

Materials And Methods: The first part of the review is a qualitative overview of the PGTs used in the included studies.

Three-Terminal Ovonic Threshold Switch (3T-OTS) with Tunable Threshold Voltage for Versatile Artificial Sensory Neurons.

Inspired by information processing in biological systems, sensor-combined edge-computing systems attract attention requesting artificial sensory neurons as essential ingredients. Here, we introduce a simple and versatile structure of artificial sensory neurons based on a novel three-terminal Ovonic threshold switch (3T-OTS), which features an electrically controllable threshold voltage (). Combined with a sensor driving an output voltage, this 3T-OTS generates spikes with a frequency depending on an external stimulus.

Resilience, Cardiological Outcome, and Their Correlations With Anxious-Depressive Symptoms and Quality of Life in Patients With an Implantable Cardioverter Defibrillator.

Resilience is proven as a protective factor against the development of psychiatric disorders, and it has gained clinical relevance in the development and progression of cardiovascular pathology. The authors performed a longitudinal study on patients with implantable cardioverter defibrillator (ICD) with the primary aim to highlight the possible existence of a correlation between individual resilience capacity, depressive and anxiety symptoms, and quality of life in terms of outcomes. The secondary aim was to analyze the differences between patients with major cardiac events in the follow-up and patients without cardiac events with respect to the previous variables.