Vaskularna flora vinograda u području zaštićenog geografskog porijekla “Gioia del Colle” (Apulija, južna Italija): preliminarni podaci

A first checklist of the vascular flora of vineyards belonging to the DOC area “Gioia del Colle” is presented. The area is located in centre of the Apulia Region in Southern Italy. In all, 186 species are reported. So far, literature has lacked any systematic data on the flora of vineyards.U radu se predstavlja prvi popis vaskularne flore vinograda u području zaštićenog geografskog porijekla “Gioia del Colle”. Područje se nalazi u centru regije Apulija na jugu Italije. Navodimo ukupno 186 vrsta. Dosad u literaturi nije bilo sustavnih podataka o flori vinograda

Vaskularna flora starih maslinika Apulije (južna Italija)

A floristic study of the vascular flora of ancient olive groves of Apulia (Italy) was carried out from 2009 to 2012. Research was mainly focussed on the fields and the ecological infrastructures of four olive groves. In total, 408 taxa were identified, of those, 332 species, 73 subspecies and 3 cultivated varieties were classified into 275 genera and 74 families. Only 18 taxa out of the 408 were considered important from a conservation point of view. These 18 taxa were analysed more thoroughly, the topography of the collecting site, plant community, population density and relationships with the habitats being recorded, according to Directive 92/43/EEC. The work was planned and carried out with the aim of providing tools for improving the conservation and management of the olive groves of Apulia.U razdoblju od 2009. do 2012. istraživana je vaskularna flora starih maslinika Apulije (Italija). Istraživanje se usredotočilo na polja i ekološku infrastrukturu četiri maslinika. Sveukupno je zabilježeno 408 svojti, od toga 332 vrste, 73 podvrste i 3 kultivirana varijeteta, smještenih u 275 rodova i 74 porodice. Samo 18 svojti od njih 408 se smatra važnima u smislu zaštite. Tih 18 svojti su podrobnije analizirane, i u skladu s Direktivom 92/43/EEC za njih je zabilježena topografija nalazišta, biljna zajednica, gustoća populacije i suodnos sa staništem. Istraživanje je planirano i izvedeno u cilju pronalaženja načina za poboljšanje zaštite i upravljanja maslinicima u Apuliji

Instantaneous Stereo Depth Estimation of Real-World Stimuli with a Neuromorphic Stereo-Vision Setup

The stereo-matching problem, i.e., matching corresponding features in two different views to reconstruct depth, is efficiently solved in biology. Yet, it remains the computational bottleneck for classical machine vision approaches. By exploiting the properties of event cameras, recently proposed Spiking Neural Network (SNN) architectures for stereo vision have the potential of simplifying the stereo-matching problem. Several solutions that combine event cameras with spike-based neuromorphic processors already exist. However, they are either simulated on digital hardware or tested on simplified stimuli. In this work, we use the Dynamic Vision Sensor 3D Human Pose Dataset (DHP19) to validate a brain-inspired event-based stereo-matching architecture implemented on a mixed-signal neuromorphic processor with real-world data. Our experiments show that this SNN architecture, composed of coincidence detectors and disparity sensitive neurons, is able to provide a coarse estimate of the input disparity instantaneously, thereby detecting the presence of a stimulus moving in depth in real-time

Reporting di sostenibilità degli operatori logistici in Europa: analisi degli indicatori

Obiettivi: L’affermazione di una nuova concezione del valore, basata sulle qualità e non sull’insostenibile aumento delle quantità di merci e consumi, induce gli operatori logistici alla ricerca di azioni che possano essere nel contempo economicamente efficienti ed efficaci, ecologicamente sopportabili e socialmente giuste. Il presente lavoro ha l’obiettivo di investigare e identificare le azioni sostenibili - economiche, ambientali e sociali - intraprese dagli operatori logistici. Metodologia: Il quadro teorico è stato costruito attraverso lo studio della letteratura accademica nazionale e internazionale. La parte empirica è stata sviluppata attraverso l’analisi dei più recenti report di sostenibilità degli operatori logistici operanti in Europa, redatti secondo gli standard della Global Reporting Initiative. Risultati: Gli operatori logistici possono contribuire in modo significativo al cambiamento paradigmatico in atto, facilitando e favorendo, in qualità di fornitori di servizi, il raggiungimento della sostenibilità della supply chain. Limiti della ricerca: Il presente lavoro costituisce la fase preliminare di un più approfondito progetto di ricerca che indaghi le iniziative di sostenibilità degli operatori logistici a livello mondiale e che consideri un arco temporale di osservazione utile a tracciare il trend in atto. Implicazioni pratiche: Sia l’accademia che il mondo professionale possono trovare utile l’analisi della letteratura sul tema e i primi risultati ottenuti, in quanto sono posti in evidenzia i principali tratti di sostenibilità degli operatori logistici che già hanno intrapreso il percorso verso la sostenibilità. Originalità del lavoro: Gli studi della letteratura esistente sugli operatori logistici e la sostenibilità si basano quasi esclusivamente sulla sostenibilità ambientale e l’ecoefficienza, mentre manca un approccio sistemico capace di superare i problemi odierni mediante la valorizzazione della multidimensionalità. Il lavoro contribuisce a colmare questo gap

Horizontal network collaboration by entrepreneurial ventures: a supply chain finance perspective

Purpose – The present paper aims at understanding how horizontal network collaborations between small and medium enterprises (SMEs) can be designed and implemented to take advantage of a supply chain finance (SCF) perspective. Design/methodology/approach – This study presents an SCF literature background identifying four literature gaps, and in response to them it adopts an action research approach. The empirical analysis is developed on a network-case study: a horizontal collaboration project between small businesses of the Italian wine industry and their supply chains. Findings – SMEs can play an active role in developing – in terms of design and implementation – their collaborative networks by taking advantage of an SCF perspective for themselves, and their customers, based on the reorganization of relationships interface processes. Taking this perspective can be a concrete and crucial way to sustain the development of SMEs and their supply chains in an actual competitive context. Research limitations/implications – The paper identifies the theoretical gaps in the literature, suggests new research areas that deserve to be more deeply investigated and connects case-related results to the key concepts. The empirical part presents a real case application that proposes a complete roadmap for managers and practitioners who wish to experience similar projects. Practical implications – This network-case study storyline, presenting an overview of ten years of meetings, with related purposes, is suggesting a roadmap for design and implementation of horizontal network as managerial implications. These kinds of active research projects, with a collaborative mixed team of academics and practitioners, and involving a multilayer group of participants, are positive examples for closing the bridge between companies and academia, which enhance this network of small businesses active in trying to improve their competitiveness working together. Originality/value – The value of the paper is to embrace a supply chain-oriented perspective for an SME, independent of the financial system and based on inventory flow management. Very little literature focuses on inventory-based research within the SCF framework, designed for real implementation in horizontal network collaboration by entrepreneurial ventures

NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps

Convolutional neural networks (CNNs) have become the dominant neural network architecture for solving many state-of-the-art (SOA) visual processing tasks. Even though Graphical Processing Units (GPUs) are most often used in training and deploying CNNs, their power efficiency is less than 10 GOp/s/W for single-frame runtime inference. We propose a flexible and efficient CNN accelerator architecture called NullHop that implements SOA CNNs useful for low-power and low-latency application scenarios. NullHop exploits the sparsity of neuron activations in CNNs to accelerate the computation and reduce memory requirements. The flexible architecture allows high utilization of available computing resources across kernel sizes ranging from 1x1 to 7x7. NullHop can process up to 128 input and 128 output feature maps per layer in a single pass. We implemented the proposed architecture on a Xilinx Zynq FPGA platform and present results showing how our implementation reduces external memory transfers and compute time in five different CNNs ranging from small ones up to the widely known large VGG16 and VGG19 CNNs. Post-synthesis simulations using Mentor Modelsim in a 28nm process with a clock frequency of 500 MHz show that the VGG19 network achieves over 450 GOp/s. By exploiting sparsity, NullHop achieves an efficiency of 368%, maintains over 98% utilization of the MAC units, and achieves a power efficiency of over 3TOp/s/W in a core area of 6.3mm$^2$. As further proof of NullHop's usability, we interfaced its FPGA implementation with a neuromorphic event camera for real time interactive demonstrations

Chronic treatment with fluoxetine up-regulates cellular BDNF mRNA expression in rat dopaminergic regions.

During the last few years several studies have highlighted the possibility that major depression can be characterized by a general reduction in brain plasticity and an increased vulnerability under challenging situations. Such dysfunction may be the consequence of reduced expression and function of proteins important for neuroplasticity such as brain-derived neurotrophic factor (BDNF). On this basis, by using a sensitive non-radioactive in-situ hybridization, we evaluated the effects of a chronic treatment with fluoxetine on BDNF expression within rat dopaminergic regions. In fact, besides the well-established role of the hippocampus, increasing evidence indicates that other brain regions may be involved in the pathophysiology of depression and consequently be relevant for the therapeutic action of antidepressant drugs. Our results indicate that 3 wk of fluoxetine administration up-regulates BDNF mRNA levels selectively within structures belonging to the meso-cortico-limbic pathway. The expression of the neurotrophin is significantly increased in the ventral tegmental area, prefrontal cortex, and shell region of the nucleus accumbens, whereas no changes were detected in the substantia nigra and striatum. Moreover, in agreement with previous studies, fluoxetine increased BDNF mRNA levels in the hippocampus, an effect that was limited to the cell bodies without any change in its dendritic targeting. These data show that chronic treatment with fluoxetine increases BDNF gene expression not only in limbic areas but also in dopaminergic regions, suggesting that such an effect may contribute to improve the function of the dopaminergic system in depressed subjects

Landscape of Tumor Suppressor Mutations in Acute Myeloid Leukemia

Acute myeloid leukemia is mainly characterized by a complex and dynamic genomic instability. Next-generation sequencing has significantly improved the ability of diagnostic research to molecularly characterize and stratify patients. This detailed outcome allowed the discovery of new therapeutic targets and predictive biomarkers, which led to develop novel compounds (e.g., IDH 1 and 2 inhibitors), nowadays commonly used for the treatment of adult relapsed or refractory AML. In this review we summarize the most relevant mutations affecting tumor suppressor genes that contribute to the onset and progression of AML pathology. Epigenetic modifications (TET2, IDH1 and IDH2, DNMT3A, ASXL1, WT1, EZH2), DNA repair dysregulation (TP53, NPM1), cell cycle inhibition and deficiency in differentiation (NPM1, CEBPA, TP53 and GATA2) as a consequence of somatic mutations come out as key elements in acute myeloid leukemia and may contribute to relapse and resistance to therapies. Moreover, spliceosomal machinery mutations identified in the last years, even if in a small cohort of acute myeloid leukemia patients, suggested a new opportunity to exploit therapeutically. Targeting these cellular markers will be the main challenge in the near future in an attempt to eradicate leukemia stem cells

Italian Crisis Management in 2020

Approaches to risk analysis, crisis management and resilience enhancement for Critical Infrastructure (CI) Protection will be considered starting from a case study related to the management of the pandemic in Italy. Business continuity and crisis management models for CI are analyzed aiming to deal with complexity and reduce uncertainty relating pandemic and long-time crisis. Furthermore, is presented a methodology highlighting the functioning of the Italian Civil Protection and its systemic nature: a complex apparatus made up of different elements and organizations, which derives from the functioning of different organizational systems in interaction with each other. As a baseline for the coordination management the Augustus Method is considered for its strategical, tactical and operational aspects. One of the main outputs of the research consists in creating a “what if” forecasting model, configured as a visualization of the propagation of negative effects on the supply chain and manpower over time