Green Marketing or Greenwashing: How Consumers Evaluate Environmental Ads

Over the past few years, there has been a significant increase in the number of cases related to greenwashing. This research investigates how consumers develop green skepticism to react to greenwashing practices. In two studies, we demonstrate that environmental ads (either vague or specific ads) are more effective in persuading weak-attitude consumers resulting in lower green skepticism than strong-attitude consumers. In contrast, strong-attitude consumers exhibit a backfiring behavior when presented with vague ads, evidenced by their higher level of green skepticism and lower WTP for products featured in the ads. More interestingly, specific ads are effective among strong-attitude consumers, lowering their green skepticism and increasing their WTP. Our research has theoretical and managerial implications for green marketing communication

Multifunctional metal matrix composites with embedded printed electrical materials fabricated by Ultrasonic Additive Manufacturing

This work proposes a new method for the fabrication of Multifunctional Metal Matrix Composite (MMC) structures featuring embedded printed electrical materials through Ultrasonic Additive Manufacturing (UAM). Printed electrical circuitries combining conductive and insulating materials were directly embedded within the interlaminar region of UAM aluminium matrices to realise previously unachievable multifunctional composites. A specific surface flattening process was developed to eliminate the risk of short circuiting between the metal matrices and printed conductors, and simultaneously reduce the total thickness of the printed circuitry. This acted to improve the integrity of the UAM MMC’s and their resultant mechanical strength. The functionality of embedded printed circuitries was examined via four-point probe measurement. DualBeam Scanning Electron Microscopy (SEM) and Focused Ion Beam (FIB) milling were used to investigate the microstructures of conductive materials to characterize the effect of UAM embedding energy whilst peel testing was used to quantify mechanical strength of MMC structures in combination with optical microscopy. Through this process, fully functioning MMC structures featuring embedded insulating and conductive materials were realised whilst still maintaining high peel resistances of ca. 70 N and linear weld densities of ca. 90%

Desenvolvimento de um modelo de identidade de marca para indicações geográficas:uma aplicação à IG Matas de Rondônia.

A Indicação Geográfica (IG) da região Matas de Rondônia para Robustas Amazônicos, do tipo denominação de origem (DO), é a primeira sustentável da espécie Coffea canephora do mundo. Este registro inseriu Rondônia, no mapa das regiões produtoras de cafés especiais do Brasil, conferindo credibilidade ao grão produzido com critérios de qualidade e oferecendo nova oportunidade para a agricultura familiar na Amazônia, uma vez que a base da cafeicultura da região é familiar. Com o registro da IG concedido pelo INPI (Brasil) em 1º de junho de 2021, os cafés denominados Robustas Amazônicos passaram a ter um diferencial de origem e qualidade

Genetic and genomic analysis of acute lymphoblastic leukaemia in older adults reveals a distinct profile of abnormalities: analysis of 210 patients from the UKALL14 and UKALL60+ clinical trials

Despite being predominantly a childhood disease, the incidence of ALL has a second peak in adults aged 60 years and over. These older adults fare extremely poorly with existing treatment strategies and very few studies have undertaken a comprehensive genetic and genomic characterisation to improve prognosis in this age group. We performed cytogenetic, single nucleotide polymorphism (SNP) array and next generation sequencing (NGS) analyses on samples from 210 patients aged ≥60 years from the UKALL14 and UKALL60+ clinical trials. BCR-ABL1 positive disease was present in 26% (55/210) of patients, followed by low hypodiploidy/near triploidy in 13% (28/210). Cytogenetically cryptic rearrangements in CRLF2, ZNF384 and MEF2D were detected in 5%, 1% and 1% of patients respectively. Copy number abnormalities were common and deletions in ALL driver genes were seen in 77% of cases. IKZF1 deletion was present in 51% (40/78) of samples tested and the IKZF1plus profile identified in over a third (28/77) of BCP-ALL cases. The genetic good risk abnormalities high hyperdiploidy (n=2), ETV6-RUNX1 (no cases) and ERG deletion (no cases) were exceptionally rare in this cohort. RAS pathway mutations were seen in 17% (4/23) of screened samples. KDM6A abnormalities, including biallelic deletions, were discovered in 5% (4/78) of SNP array and 9% (2/23) of NGS samples, and represent a novel, potentially therapeutically actionable lesions using EZH2 inhibitors. Outcome remained poor with five-year event-free (EFS) and overall survival (OS) rates of 17% and 24% respectively across the cohort indicating a need for novel therapeutic strategies

A classification prognostic score to predict OS in stage IV well-differentiated neuroendocrine tumors

No validated prognostic tool is available for predicting overall survival (OS) of patients with well-differentiated neuroendocrine tumors (WDNETs). This study, conducted in three independent cohorts of patients from five different European countries, aimed to develop and validate a classification prognostic score for OS in patients with stage IV WDNETs. We retrospectively collected data on 1387 patients: (i) patients treated at the Istituto Nazionale Tumori (Milan, Italy; n = 515); (ii) European cohort of rare NET patients included in the European RARECAREnet database (n = 457); (iii) Italian multicentric cohort of pancreatic NET (pNETs) patients treated at 24 Italian institutions (n = 415). The score was developed using data from patients included in cohort (i) (training set); external validation was performed by applying the score to the data of the two independent cohorts (ii) and (iii) evaluating both calibration and discriminative ability (Harrell C statistic). We used data on age, primary tumor site, metastasis (synchronous vs metachronous), Ki-67, functional status and primary surgery to build the score, which was developed for classifying patients into three groups with differential 10-year OS: (I) favorable risk group: 10-year OS >= 70%; (II) intermediate risk group: 30% <= 10-year OS < 70%; (III) poor risk group: 10-year OS < 30%. The Harrell C statistic was 0.661 in the training set, and 0.626 and 0.601 in the RARECAREnet and Italian multicentric validation sets, respectively. In conclusion, based on the analysis of three 'field-practice' cohorts collected in different settings, we defined and validated a prognostic score to classify patients into three groups with different long-term prognoses

The personal and national costs of mental health conditions: impacts on income, taxes, government support payments due to lost labour force participation

<p>Abstract</p> <p>Background</p> <p>Mental health conditions have the ability to interrupt an individual's ability to participate in the labour force, and this can have considerable follow on impacts to both the individual and the state.</p> <p>Method</p> <p>Cross-sectional analysis of the base population of Health&WealthMOD, a microsimulation model built on data from the Australian Bureau of Statistics' <it>Survey of Disability, Ageing and Carers </it>and STINMOD, an income and savings microsimulation model was used to quantify the personal cost of lost income and the cost to the state from lost income taxation, increased benefits payments and lost GDP as a result of early retirement due to mental health conditions in Australians aged 45-64 in 2009.</p> <p>Results</p> <p>Individuals aged 45 to 64 years who have retired early due to depression personally have 73% lower income then their full time employed counterparts and those retired early due to other mental health conditions have 78% lower incomes. The national aggregate cost to government due to early retirement from these conditions equated to $278 million (£152.9 million) in lost income taxation revenue,$407 million (£223.9 million) in additional transfer payments and around $1.7 billion in GDP in 2009 alone.</p> <p>Conclusions</p> <p>The costs of mental health conditions to the individuals and the state are considerable. While individuals has to bear the economic costs of lost income in addition to the burden of the conditions itself, the impact on the state is loss of productivity from reduced workforce participation, lost income taxation revenue, and increased government support payments - in addition to direct health care costs.</p

Integrative genomic analysis of childhood acute lymphoblastic leukaemia lacking a genetic biomarker in the UKALL2003 clinical trial

Incorporating genetics into risk-stratification for treatment of childhood B-progenitor acute lymphoblastic leukaemia (B-ALL) has contributed significantly to improved survival. In about 30% B-ALL (B-other-ALL) without well-established chromosomal changes, new genetic subtypes have recently emerged, yet their true prognostic relevance largely remains unclear. We integrated next generation sequencing (NGS): whole genome sequencing (WGS) (n = 157) and bespoke targeted NGS (t-NGS) (n = 175) (overlap n = 36), with existing genetic annotation in a representative cohort of 351 B-other-ALL patients from the childhood ALL trail, UKALL2003. PAX5alt was most frequently observed (n = 91), whereas PAX5 P80R mutations (n = 11) defined a distinct PAX5 subtype. DUX4-r subtype (n = 80) was defined by DUX4 rearrangements and/or ERG deletions. These patients had a low relapse rate and excellent survival. ETV6::RUNX1-like subtype (n = 21) was characterised by multiple abnormalities of ETV6 and IKZF1, with no reported relapses or deaths, indicating their excellent prognosis in this trial. An inferior outcome for patients with ABL-class fusions (n = 25) was confirmed. Integration of NGS into genomic profiling of B-other-ALL within a single childhood ALL trial, UKALL2003, has shown the added clinical value of NGS-based approaches, through improved accuracy in detection and classification into the range of risk stratifying genetic subtypes, while validating their prognostic significance

Neural Petri Control: an application on a mobile robot

In the present work, an innovative nonlinear controller of nonholonomic mechanical systems, characterized by a dynamic not well known model a priori, using a new neural model obtained by the combination of a Petri net with a neural network, is proposed. The performances of the control algorithm are evaluated for tasks of tracking of time trajectories. The study of the stability of the total system to closed loop is based on the Lyapunov theory. Simulation experiments, made taking into consideration a nonholonomic mobile robot, to two wheels, allowed to verify the theoretical results

IDENTIFICATION AND CONTROL OF NONLINEAR SYSTEMS USING NONLINEARLY PARAMETERIZED ARNN

Abstract In this paper, a new algorithm is described for on-line identification and adaptive control of MIMO affine nonlinear systems having unknown dynamics a priori, by using a nonlinearly parameterized additive recurrent neural network (ARNN). The ARNN uses the radial basis functions (RBF) as activation functions. However, some adjustable parameters (centers and variances) in RBF appear nonlinearly and the determination of the adaptive law for such parameters is a nontrivial task. Then, we propose a new method in order to determine the training laws of all the RBF and ARNN parameters which allow to reduce the identification and control error for tracking tasks of time trajectories. Additionally, the system is augmented with sliding control to offset the higher-order terms in the Taylor series of RBF output. Such a development is necessary for the linearization of the RBF with respect to the parameters and, therefore, to obtain the training laws of the ARNN. The study of the total system stability is based on the Lyapunov theory. The theoretical results are verified through simulations executed on a simple nonlinear system