1 Contributo su Rivista

1 Contributo su Rivista: [80527] Home page macrotipologia

Sfoglia

Prodotti recenti

Nut Consumption Is Associated with Cognitive Status in Southern Italian Adults

Background: Nut consumption has been considered a potential protective factor against cognitive decline. The aim of this study was to test whether higher total and specific nut intake was associated with better cognitive status in a sample of older Italian adults. Methods: A cross-sectional analysis on 883 older adults (>50 y) was conducted. A 110-item food frequency questionnaire was used to collect information on the consumption of various types of nuts. The Short Portable Mental Status ...

A reduced-representation sequencing method for identifying sex-specific molecular markers in plants with large genomes

Recent advancements in sequencing techniques have significantly enhanced our ability to identify the genomic regions responsible for sex determination in dioecious species. In this context, utilizing reduced-representation genomics analysis (such as ddRAD) as an alternative to whole genome sequencing (WGS) has proven effective in certain plants. In this study, we evaluated the potential of ddRAD along with a dedicated bioinformatics pipeline to identify sex-specific markers in Cycas revoluta,...

Seed banking of mediterranean coastal plants: an analysis to identify current seed availability and gaps to guide future seed collection and habitat restoration activities

Mediterranean coastal habitats and the biotic communities they harbor face a variety of threats and their conservation is a global priority. Reintroductions are an effective tool to reverse wild plant population declines, and seed banks can supply the plant material required for these activities. Without accurate knowledge of what species are available at local seed banks, planning and performing reintroductions may be a challenge. In this study, we assessed the seed banking status of the cha...

Attractor-Aware Hyperbolic Lipschitz-Constrained-Reinforcement Learning for FX Market: LLM-Structured Chain of Thought with Lyapunov–Entropy Dynamics

Foreign exchange (FX) markets are non-stationary and event-driven, with heavy tails and regime shifts that complicate generalization and risk control.We introduce an explainable FX trading pipeline that integrates chaotic-systems diagnostics with geometry-aware learning. A Large Language Model (LLM) consolidates several dynamic heterogeneous evidence streams into a Structured Chain-of-Thought (s-CoT) that provides rules, supporting evidence, and uncertainties. The s-CoT is embedded in a hyper...

A transformer-based approach for source code classification for heterogeneous device mapping

The optimization of code allocation for heterogeneous architectures, such as Central Processing Units (CPUs) and Graphics Processing Units (GPUs), remains challenging due to the limitations of traditional compiler heuristics and existing machine learning approaches. This paper presents a systematic evaluation of Large Language Models (LLMs) for classifying source code execution targets in heterogeneous device mapping. We fine-tune and compare six models: Distilled Bidirectional Encoder Repres...

Scopri

Accesso al fulltext

no fulltext35246
reserved24486
open19643
restricted967
partially open158
mixed22
embargoed5