Displaying publications 1 - 20 of 62 in total

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  1. Pampana EJ
    Matched MeSH terms: Italy
  2. Kow CS, Capstick T, Hasan SS
    Allergy, 2021 03;76(3):959-960.
    PMID: 33006777 DOI: 10.1111/all.14589
    Matched MeSH terms: Italy
  3. Sandosham AA
    Matched MeSH terms: Italy
  4. Rada EC, Ragazzi M, Fedrizzi P
    Waste Manag, 2013 Apr;33(4):785-92.
    PMID: 23402896 DOI: 10.1016/j.wasman.2013.01.002
    Municipal solid waste management is a multidisciplinary activity that includes generation, source separation, storage, collection, transfer and transport, processing and recovery, and, last but not least, disposal. The optimization of waste collection, through source separation, is compulsory where a landfill based management must be overcome. In this paper, a few aspects related to the implementation of a Web-GIS based system are analyzed. This approach is critically analyzed referring to the experience of two Italian case studies and two additional extra-European case studies. The first case is one of the best examples of selective collection optimization in Italy. The obtained efficiency is very high: 80% of waste is source separated for recycling purposes. In the second reference case, the local administration is going to be faced with the optimization of waste collection through Web-GIS oriented technologies for the first time. The starting scenario is far from an optimized management of municipal solid waste. The last two case studies concern pilot experiences in China and Malaysia. Each step of the Web-GIS oriented strategy is comparatively discussed referring to typical scenarios of developed and transient economies. The main result is that transient economies are ready to move toward Web oriented tools for MSW management, but this opportunity is not yet well exploited in the sector.
    Matched MeSH terms: Italy
  5. See-Too WS, Convey P, Pearce DA, Lim YL, Ee R, Yin WF, et al.
    J Biotechnol, 2016 Mar 10;221:114-5.
    PMID: 26808870 DOI: 10.1016/j.jbiotec.2016.01.026
    Planococcus rifietoensis M8(T) (=DSM 15069(T)=ATCC BAA-790(T)) is a halotolerant bacterium with potential plant growth promoting properties isolated from an algal mat collected from a sulfurous spring in Campania (Italy). This paper presents the first complete genome of P. rifietoensis M8(T). Genes coding for various potentially plant growth promoting properties were identified within its genome.
    Matched MeSH terms: Italy
  6. Alper AE, Alper FO, Cil AB, Iscan E, Eren AA
    Environ Sci Pollut Res Int, 2023 Feb;30(8):22100-22114.
    PMID: 36282394 DOI: 10.1007/s11356-022-23763-6
    The ecological footprint has currently become a highly popular environmental performance indicator. It provides the basis for setting goals, identifying options for action, and tracking progress toward stated goals. Because the examination of the existence of convergence is important for the climate change protection of the earth, the convergence of ecological footprint and its subcomponents are a major concern for scholars and policymakers. To this end, this study aims to investigate the stochastic convergence of ecological footprint and its subcomponents. We employ the recently developed Hepsag (2021) unit root test that allows nonlinearity and smooth structural change simultaneously to study stochastic convergence in per-capita ecological footprint over the period 1961-2018 for the most polluting countries. The results provide mixed evidence of the presence of stochastic convergence in conventional unit root tests such as ADF, KPSS and Fourier KPSS. According to the Hepsag (2021) unit root test results for all countries, built-up land footprint converges except Australia, Malaysia, Poland, and Turkey. Carbon footprint converges for Indonesia, Malaysia, Mexico, South Africa, Thailand, Turkey, the UK, and the USA. Cropland footprint converges for Australia, Canada, China, France, Indonesia, Italy, Japan, Korea, Malaysia, Mexico, Poland, South Africa, the UK, and Vietnam. Fishing grounds footprint converges in Brazil, France, Germany, Indonesia, Italy, Mexico, South Africa, and Vietnam. Forest product footprint converges in Australia, Canada, France, Germany, India, Korea, Mexico, Poland, Turkey, and Vietnam. Grazing land footprint converges in Canada, France, India, Indonesia, Japan, Korea, Poland, South Africa, Thailand, and Vietnam. And lastly, the total ecological footprint converges in Canada, France, Korea, Malaysia, Mexico, South Africa, the UK, and the USA.
    Matched MeSH terms: Italy
  7. Jan AA, Lai FW, Siddique J, Zahid M, Ali SEA
    Environ Sci Pollut Res Int, 2023 Mar;30(13):36521-36532.
    PMID: 36547839 DOI: 10.1007/s11356-022-24842-4
    Recent years have seen a burgeoning interest in the involvement of corporate sustainability (CS) in sustainable development (SD), yet both concepts are fewer and newer in the academic field. This study aims to present a thorough bibliometric analysis that provides fresh new insights on the subject. Using VOSviewer software, this study analyzed and visualized 1214 documents for the period 2005-2021 in the Web of Science (WoS) database. The findings of the study indicate that the co-theme CS and SD are lasting but thriving research subjects. The findings also revealed that authors from the USA published the highest number of articles followed by the UK, Spain, Italy, and Germany. The co-authorship network showed strong links between these countries. Three main clusters are identified based on research titles frequently co-cited and have significant co-citation connections. In general, this study provides valuable insight into the current status and future trends for research on SDGs. The outcome of the study could be useful to policymakers, regulators, sustainability practitioners, and researchers in understanding the key research areas, influential authors, institutions, and countries actively involved in the field. Considering the involvement of corporate sustainability in sustainable development is a useful and informative endeavor for all community actors. To the best of the authors' knowledge, this is the first comprehensive study that presents the holistic picture of CS and SD-related research to identify the knowledge map between the two subjects.
    Matched MeSH terms: Italy
  8. Zakaria WNA, Wijaya A, Al-Rahbi B, Ahmad AH, Zakaria R, Othman Z
    Psychiatr Genet, 2023 Jun 01;33(3):102-112.
    PMID: 36825833 DOI: 10.1097/YPG.0000000000000338
    This study aims to use a bibliometric technique to evaluate the scientific output of gene and bipolar disorder research. The search query related to gene and bipolar disorder from the Scopus database identified 1848 documents from 1951 to 2020. The growth in the publications increased since early 1990, peaked in 2011, and started to decline thereafter. High occurrence in author keywords suggests that some research topics, such as "polymorphism", "linkage" and "association study" have waned over time, whereas others, such as "DNA methylation," "circadian rhythm," "" and "meta-analysis," are now the emerging trends in gene and bipolar disorder research. The USA was the country with the highest production followed by the UK, Canada, Italy and Germany. The leading institutions were Cardiff University in the UK, the National Institute of Mental Health (NIMH) in the USA, King's College London in the UK and the University of California, San Diego in the USA. The leading journals publishing gene and bipolar literature were the American Journal of Medical Genetics Neuropsychiatric Genetics, Molecular Psychiatry and Psychiatric Genetics. The top authors in the number of publications were Craddock N, Serretti A and Rietschel M. According to the co-authorship network analysis of authors, the majority of the authors in the same clusters were closely linked together and originated from the same or neighbouring country. The findings of this study may be useful in identifying emerging topics for future research and promoting research collaboration in the field of genetic studies related to bipolar disorder.
    Matched MeSH terms: Italy
  9. Ciminelli G, Garcia-Mandicó S
    J Public Health (Oxf), 2020 11 23;42(4):723-730.
    PMID: 32935849 DOI: 10.1093/pubmed/fdaa165
    BACKGROUND: There are still many unknowns about COVID-19. We do not know its exact mortality rate nor the speed through which it spreads across communities. This lack of evidence complicates the design of appropriate response policies.

    METHODS: We source daily death registry data for 4100 municipalities in Italy's north and match them to Census data. We augment the dataset with municipality-level data on a host of co-factors of COVID-19 mortality, which we exploit in a differences-in-differences regression model to analyze COVID-19-induced mortality.

    RESULTS: We find that COVID-19 killed more than 0.15% of the local population during the first wave of the epidemic. We also show that official statistics vastly underreport this death toll, by about 60%. Next, we uncover the dramatic effects of the epidemic on nursing home residents in the outbreak epicenter: in municipalities with a high share of the elderly living in nursing homes, COVID-19 mortality was about twice as high as in those with no nursing home intown.

    CONCLUSIONS: A pro-active approach in managing the epidemic is key to reduce COVID-19 mortality. Authorities should ramp-up testing capacity and increase contact-tracing abilities. Adequate protective equipment should be provided to nursing home residents and staff.

    Matched MeSH terms: Italy/epidemiology
  10. Mahmoudi MR, Baleanu D, Mansor Z, Tuan BA, Pho KH
    Chaos Solitons Fractals, 2020 Nov;140:110230.
    PMID: 32863611 DOI: 10.1016/j.chaos.2020.110230
    The numbers of confirmed cases of new coronavirus (Covid-19) are increased daily in different countries. To determine the policies and plans, the study of the relations between the distributions of the spread of this virus in other countries is critical. In this work, the distributions of the spread of Covid-19 in Unites States America, Spain, Italy, Germany, United Kingdom, France, and Iran were compared and clustered using fuzzy clustering technique. At first, the time series of Covid-19 datasets in selected countries were considered. Then, the relation between spread of Covid-19 and population's size was studied using Pearson correlation. The effect of the population's size was eliminated by rescaling the Covid-19 datasets based on the population's size of USA. Finally, the rescaled Covid-19 datasets of the countries were clustered using fuzzy clustering. The results of Pearson correlation indicated that there were positive and significant between total confirmed cases, total dead cases and population's size of the countries. The clustering results indicated that the distribution of spreading in Spain and Italy was approximately similar and differed from other countries.
    Matched MeSH terms: Italy
  11. Hewitt P
    Aust Nurses J, 1978 Jun;7(11):34-7.
    PMID: 249268
    Matched MeSH terms: Italy
  12. Chaudhry SM, Ahmed R, Shafiullah M, Duc Huynh TL
    J Environ Manage, 2020 Jul 01;265:110533.
    PMID: 32421559 DOI: 10.1016/j.jenvman.2020.110533
    This paper empirically investigates the effect of carbon emissions on sovereign risk? To answer this question, we use fixed effects model by using annual data from G7 advanced economies, which includes Canada, France, Germany, Italy, Japan, UK and USA, for the period from 1996 to 2014. We employ a novel extreme value theory to measure sovereign risk. The results indicate that climate change (carbon emissions) are likely to increase sovereign risk significantly. We also expand our analysis to some specific sectors, as some of the sectors emit more carbon than others. Specifically, we take top three polluting sectors namely: transportation, electricity and industry and show that they are more likely to increase the sovereign risk. Our results are robust to change in risk measures, estimation in differences and dynamic version of econometric models. Therefore, we have robust consideration that the carbon emissions significantly explain the sovereign risk.
    Matched MeSH terms: Italy
  13. Polgar G, Iaia M, Sala P, Khang TF, Galafassi S, Zaupa S, et al.
    PeerJ, 2023;11:e14991.
    PMID: 36949764 DOI: 10.7717/peerj.14991
    Salmonid species are main actors in the Italian socio-ecological landscape of inland fisheries. We present novel data on the size-age structure of one of the remnant Italian populations of the critically endangered marble trout Salmo marmoratus, which co-occurs with other stocked non-native salmonids in a large glacial river of the Lake Maggiore basin (Northern Italy-Southern Switzerland). Like other Italian native trout populations, the Toce River marble trout population is affected by anthropogenic introgression with the non-native brown trout S. trutta. Our sample includes 579 individuals, mainly collected in the Toce River main channel. We estimated the length-weight relationship, described the population size-age structure, estimated the age-specific growth trajectories, and fit an exponential mortality model. A subset of the sample was also used to measure numerical and biomass density. The estimated asymptotic maximum length is ~105 cm total length (TL). Mean length at first maturity is ~55 cm TL, and mean length at maximum yield per recruit is ~68 cm TL. Approximately 45-70% of the population are estimated to die annually, along with a fishing annual mortality of ~37%, with an exploitation ratio of ~0.5. The frequency distribution of length classes in a sample collected by angling shows that ~80% of the individuals that could be retained according to the current recreational fishing regulations likely never reproduced, and large fish disproportionally contributing to recruitment are fished and retained. We identify possible overfishing risks posed by present regulations, and propose updated harvest-slot length limits to mitigate such risks. More detailed and long-term datasets on this system are needed to more specifically inform the fishery management and monitor the effects of any change in the management strategy on the size-age structure of the marble trout population of the Toce River.
    Matched MeSH terms: Italy
  14. Poli A, Nicolaus B, Chan KG, Kahar UM, Chan CS, Goh KM
    Genome Announc, 2015;3(3).
    PMID: 25999577 DOI: 10.1128/genomeA.00490-15
    Anoxybacillus thermarum AF/04(T) was isolated from the Euganean hot springs in Abano Terme, Italy. The present work reports a high-quality draft genome sequence of strain AF/04(T). This work also provides useful insights into glycoside hydrolases, glycoside transferases, and sugar transporters that may be involved in cellular carbohydrate metabolism.
    Matched MeSH terms: Italy
  15. Irfan M, Ahmad M, Fareed Z, Iqbal N, Sharif A, Wu H
    PMID: 33448868 DOI: 10.1080/09603123.2021.1874888
    The aim of this study is to identify and highlight the positive and negative indirect environmental impacts of COVID-19, with a particular focus on the most affected economies (USA, China, Spain, and Italy). In this respect, the empirical and theoretical dimensions of the contents of those impacts are analyzed. Research findings reveal a significant relationship between contingency actions and positive indirect impacts such as air quality improvements, clean beaches, and the decline in environmental noise. Besides, negative indirect impacts also exist, such as the rise in waste level and curtailment in recycling, further threatening the physical spaces (land and water), besides air. It is expected that global businesses will revive in the near future (though slowly), but the reduction in greenhouse gas emissions during this short time span is not a sustainable way of environmental mitigation. Thus, long-term mitigation policies should be strengthened to cope with the undesirable deterioration of the environment. Research findings provide an up-to-date glimpse of the pandemic from the perspectives of current and future indirect environmental impacts and the post-pandemic situation. Finally, it is suggested to invent and prepare action plans to induce a sustainable economic and environmental future in the post-pandemic world scenario.
    Matched MeSH terms: Italy
  16. Cerea S, Todd J, Ghisi M, Mancin P, Swami V
    Body Image, 2021 Sep;38:210-218.
    PMID: 33962221 DOI: 10.1016/j.bodyim.2021.04.007
    The Functionality Appreciation Scale (FAS; Alleva et al., 2017) is a widely used instrument for the measurement of individual's appreciation of their body for what it can do and is capable of doing (i.e., functionality appreciation). Here, we examined the psychometric properties of a novel Italian translation of the FAS. A sample of 950 Italian adults completed the FAS, as well as previously validated measures of body image (body appreciation, body esteem, body surveillance), disordered eating symptoms, and psychological well-being (self-esteem, general distress). Exploratory and confirmatory factor analyses supported a 1-dimensional model of FAS scores, with all 7 items retained. Scores achieved scalar invariance across gender, and the gender difference in latent FAS scores was not significant. FAS scores were found to have adequate internal consistency, test-retest reliability up to three weeks, and convergent and criterion-related validity through significant correlations with all additional constructs. However, evidence of incremental validity was weak, and likely reflected high nomological and conceptual similarity between functionality and body appreciation in this national context. Overall, these results provide strong evidence that scores on the Italian FAS are psychometrically valid, which may aid future development of interventions to promote more positive body image in Italian-speaking samples.
    Matched MeSH terms: Italy
  17. Chai JH, Lo CH, Mayor J
    J Speech Lang Hear Res, 2020 10 16;63(10):3488-3500.
    PMID: 32897770 DOI: 10.1044/2020_JSLHR-20-00361
    Purpose This study introduces a framework to produce very short versions of the MacArthur-Bates Communicative Development Inventories (CDIs) by combining the Bayesian-inspired approach introduced by Mayor and Mani (2019) with an item response theory-based computerized adaptive testing that adapts to the ability of each child, in line with Makransky et al. (2016). Method We evaluated the performance of our approach-dynamically selecting maximally informative words from the CDI and combining parental response with prior vocabulary data-by conducting real-data simulations using four CDI versions having varying sample sizes on Wordbank-the online repository of digitalized CDIs: American English (a very large data set), Danish (a large data set), Beijing Mandarin (a medium-sized data set), and Italian (a small data set). Results Real-data simulations revealed that correlations exceeding .95 with full CDI administrations were reached with as few as 15 test items, with high levels of reliability, even when languages (e.g., Italian) possessed few digitalized administrations on Wordbank. Conclusions The current approach establishes a generic framework that produces very short (less than 20 items) adaptive early vocabulary assessments-hence considerably reducing their administration time. This approach appears to be robust even when CDIs have smaller samples in online repositories, for example, with around 50 samples per month-age.
    Matched MeSH terms: Italy
  18. Swami V, Maïano C, Todd J, Ghisi M, Cardi V, Bottesi G, et al.
    Appetite, 2021 11 01;166:105588.
    PMID: 34224761 DOI: 10.1016/j.appet.2021.105588
    The construct of intuitive eating is most often measured using the 23-item Intuitive Eating Scale-2 (IES-2), but previous studies have typically relied solely on confirmatory factor analysis (CFA) to understand IES-2 dimensionality. In contrast, a bifactor exploratory structural equation modelling (B-ESEM) framework offers a more realistic account of IES-2 multidimensionality. Here, we assessed the psychometric properties of a novel Italian translation using a combination of exploratory factor analysis and B-ESEM. A total of 950 adults completed the IES-2 alongside measures of positive body image, disordered eating, and psychological well-being. Results indicated that a 4-factor B-ESEM model had adequate fit to the data and that fit was improved when the correlated uniqueness of seven negatively worded IES-2 items was accounted for. This model of IES-2 scores showed adequate internal consistency and good test-retest reliability up to three weeks. Evidence of construct validity was good in terms of a global IES-2 factor, and broadly supported in terms of its specific-factors. These results highlight the utility of a B-ESEM framework for understanding the dimensionality of IES-2 scores and may help scholars better understand the extent to which the IES-2 adequately operationalises the construct of intuitive eating.
    Matched MeSH terms: Italy
  19. Quartiroli A, Parsons-Smith RL, Fogarty GJ, Kuan G, Terry PC
    Front Psychol, 2018;9:1949.
    PMID: 30356841 DOI: 10.3389/fpsyg.2018.01949
    Mood profiling has a long history in the field of sport and exercise. Several novel mood profile clusters were identified and described in the literature recently (Parsons-Smith et al., 2017). In the present study, we investigated whether the same clusters were evident in an Italian-language, sport and exercise context. The Italian Mood Scale (ITAMS; Quartiroli et al., 2017) was administered to 950 Italian-speaking sport participants (659 females, 284 males, 7 unspecified; age range = 16-63 year, M = 25.03, SD = 7.62) and seeded k-means clustering methodology applied to the responses. Six distinct mood profiles were identified, termed the iceberg, inverse iceberg, inverse Everest, shark fin, surface, and submerged profiles, which closely resembled those reported among English-speaking participants (Parsons-Smith et al., 2017). Significant differences were found in the distribution of specific mood profiles across gender and age groups. Findings supported the cross-cultural generalizability of the six mood profiles and offer new research avenues into their antecedents, correlates and behavioral consequences in Italian-language contexts.
    Matched MeSH terms: Italy
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