1,721,149 research outputs found
Facchini (F.). — Evoluzione, Uomo в ambiante. Lineamenti di Antropologie. 1988.
No full textFerembach D. Facchini (F.). — Evoluzione, Uomo в ambiante. Lineamenti di Antropologie. 1988.. In: Bulletins et Mémoires de la Société d'anthropologie de Paris, Nouvelle Série. Tome 1 fascicule 1-2, 1989. p. 153
Secular anthropometric changes in a sample of Italian adults
No full textAnthropometric traits of adults from Bologna (Italy), measured several times over a century, were evaluated for evidence of a secular trend. In addition to a considerable increase in the stature, weight and chest girth, increases were observed also in the biacromial and bicristal breadths and, to a small degree, in the sitting height. Regarding the head, a de-brachycephalization process, caused mainly by the decrease in the maximum head breadth, was noticed. The secular trend phenomena are discussed with respect to genetic, environmental and demographic factors. © 1982 Academic Press Inc. (London) Limited
Facchini (F.). — II camino dell' Evolution umana le Scoperte e i debatiti della paleonanthropologia. (Le chemin de l'évolution humaine. Les découvertes et les débats de la paléoanthropologie)
No full textFerembach D. Facchini (F.). — II camino dell' Evolution umana le Scoperte e i debatiti della paleonanthropologia. (Le chemin de l'évolution humaine. Les découvertes et les débats de la paléoanthropologie). In: Bulletins et Mémoires de la Société d'anthropologie de Paris, XIV° Série. Tome 3 fascicule 1, 1986. pp. 63-64
Methodological aspects of the diagnosis of sex based on cranial metric traits
No full textAmong the methodological aspects of the studies of ancient populations the sex diagnosis is still an open problem. In our study we developed sex discriminant functions for craniometric variables in different Italian reference populations (Sardinians and Bologneses). Separate discriminant functions were calculated for the different populations and sexes and for the whole of the two populations. The highest percentage of correct classification of sex is obtained with the equations for facial dimensions in the Sardinians (93.9%) and of those for the mandible in the Bologneses (96.5%). The cross-application of the equations indicates that the discrimination of sex is markedly influenced by the different body proportions of the two populations. We also assessed the application in ancient skeletal remains of the populations of Monte Bibele (Bologna, 4th to 2nd c.BC) and Montericco (Imola, 6th to 4th c.BC), for which there are reliable diagnosis of sex. This underlines the necessity of using equations based on populations that are biologically similar to those being studied
Comprehensive Systematic Literature Review on Cognitive Workload: Trends on Methods, Technologies, and Case Studies
No full textCognitive workload (CWL) assessment has gained traction in Industry 4.0 and 5.0, where human-machine interactions are becoming more intricate. However, there is a lack of comprehensively addressed CWL assessment by considering methodologies, technologies, and case studies. The present work reviews 70 articles related to the CWL assessment. The review identifies five main methodologies for the CWL assessment: physiological measures (e.g. EEG, HRV, and eye-tracking), subjective evaluation (e.g. NASA-TLX), performance evaluation, cognitive load models, and multimodal approaches. The analysis shows an increasing trend towards multimodal approaches that combine subjective assessment methods with physiological measures obtained from electroencephalography, eye-tracking, and heart rate monitoring devices. Additionally, emerging technologies such as augmented reality and collaborative robots are increasingly considered in case studies that address the CWL assessment in current work environments. Results reveal significant advancements in physiological and multimodal assessment methods, particularly emphasising real-time monitoring capabilities and context-specific applications. Case studies underscore the key role of CWL management in assembly, maintenance, and construction tasks, demonstrating its impact on performance, safety, and adaptability in dynamic environments. This review establishes a framework for advancing CWL research by addressing methodological limitations and proposing future research directions, including the development of personalised, adaptive systems for real-time workload management
Waste collection with smart bins and residual capacity forecasting: The case of an Apulia Town
No full textIn most countries, Municipal solid waste (MSW) collection and disposal are among the major problems of the urban environment. To this concern, the Key Enabling Technologies of Industry 4.0 (I4.0) play a crucial role. The I4.0 brings the new industrial paradigm in the smart cities, with strong cooperation of the digital and physical worlds through the cyber-physical systems. In particular, the intelligent bins (so-called smart bins) allow monitoring and provide real-time information on their capacity use. If, on the one hand, the MSW collection process is a topic widely investigated in the scientific literature, on the other hand, the studies on the adoption of the smart bins in MSW collection aren't that widespread. A technical-economic assessment of the implementation of the MSW collection based on the dynamic vehicle routing led by smart bins for a southern Italian town is proposed in the present work. The study evaluates the impact on the MSW collection considering the changes in terms of frequency of bins collected and dynamic vehicle routing, given by the residual capacity data provided from smart bins. To this concern, the costs and the emission due to MSW collection are minimized conducting a scenario analysis finalized to identify the proper service level to the citizenship, under municipal regulations, forecasting the residual capacity of each smart bin. Results of the case study showed that the adoption of the smart bins leads to significant benefits in both economic and environmental terms, providing proper service level for citizens
Who cares about the environment? An empirical analysis of the evolution of political parties’ environmental concern in European countries (1970–2008)
No full textP145 New challenges in the long-term management of people living with HIV (PLWH): introduction of patient-reported outcomes (PROs) into routine clinical practice. A pilot study
No full textAs HIV disease has evolved from a life-threatening to a chronic condition, attention has shifted to the long-term health of PLWH. In this context, the use of PROs and Patient-Reported Outcome Measures (PROMs) becomes essential to understand patient’ perceptions and improve understanding of their overall well-being
A model based on artificial neural network for risk assessment to polycyclic aromatic hydrocarbons in workplace
No full textPolycyclic aromatic hydrocarbons (PAHs) are formed during incomplete combustion in different production processes; exposure to PAH-containing substances increases the risk of cancer in humans. The environmental monitoring used to assess human exposure to airborne PAHs during work, generally involves the employment of diagnostic methods derived from analytical chemistry, characterised by an elevated cost and the use of a "trial and error" approach. The aim of this study is to develop a decision support tool that, through the characteristic parameters of a workplace and using an artificial neural network, simulates the concentration of different species of pollutants (PAHs groups) statistically present in the environment. In this way it is possible to perform a preliminary risk assessment that, besides allowing an immediate perception of the level of risk to which workers are exposed, can undertake environmental monitoring analysis on the detection of a limited number of pollutant species, in order to reduce costs and increase the sustainability of the production syste
A model based on artificial neural network for risk assessment to polycyclic aromatic hydrocarbons in workplace
No full textPolycyclic aromatic hydrocarbons (PAHs) are formed during incomplete combustion in different production processes; exposure to PAH-containing substances increases the risk of cancer in humans. The environmental monitoring used to assess human exposure to airborne PAHs during work, generally involves the employment of diagnostic methods derived from analytical chemistry, characterised by an elevated cost and the use of a "trial and error" approach. The aim of this study is to develop a decision support tool that, through the characteristic parameters of a workplace and using an artificial neural network, simulates the concentration of different species of pollutants (PAHs groups) statistically present in the environment. In this way it is possible to perform a preliminary risk assessment that, besides allowing an immediate perception of the level of risk to which workers are exposed, can undertake environmental monitoring analysis on the detection of a limited number of pollutant species, in order to reduce costs and increase the sustainability of the production syste
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