Intergroup Contact Is Associated with Less Negative Attitude toward Women Managers: The Bolstering Effect of Social Dominance Orientation

This cross-sectional study examined the intergroup contact hypothesis in the workplace by enrolling 150 Italian employees. Within the framework of social dominance theory, the purpose of this study was to test the assumption that individuals with higher levels of social dominance orientation are more likely to exhibit prejudice against women in managerial positions and benefit more from intergroup contact with a female supervisor. In particular, we found that individuals with higher levels of social dominance orientation exhibited more negative attitudes towards women in manager positions, but this effect only appeared when their superiors were women, as opposed to men. In addition, participants with higher social dominance orientation experienced more positive outcomes from intergroup contact, resulting in less negative attitudes toward women managers, than those with lower social dominance orientation. Overall, these findings yield insights into how intergroup contact affects individuals with prejudice tendencies, indicating that contact with the targeted group (i.e., women in managerial positions) is negatively associated with negative attitudes towards the group, even when the prejudice is driven by social dominance orientation. These results could shed light on new routes to design practical intervention aimed at solving prejudice towards women in leadership roles

Effects of Chickpea in Substitution of Soybean Meal on Milk Production, Blood Profile and Reproductive Response of Primiparous Buffaloes in Early Lactation

This study aimed to evaluate the effects of the use of chickpea meal in substitution of soybean meal on plasma metabolites, reproductive response, milk yield and composition and milk coagulation traits of primiparous buffaloes in early lactation. Eighteen primiparous buffaloes were blocked by age, body weight and days in milk and equally allotted to two experimental groups from 10 to 100 days of lactation. The experimental diets consisted of the same forage integrated with two different isonitrogenous and isoenergetic concentrates containing either 210 g/kg of soybean meal or 371 g/kg chickpea. The use of chickpea meal had no negative effects on dry matter intake (p = 0.69), body condition score (p = 0.33) and milk yield (p = 0.15). Neither milk composition nor blood metabolites were influenced by dietary treatments (p > 0.05), but an increment of urea concentrations in milk (p 0.05) of the dietary treatment was highlighted on milk coagulation traits as well as buffalo reproductive responses. We concluded that soybean meal can be replaced by chickpea meal in the diet for primiparous dairy buffaloes in the early lactation period without impairing their productive and reproductive performance

Initial Results and Literature Review

Aim: To evaluate the role of stereotactic body radiation therapy in the retreatment of locally recurrent cervical cancers. Brachytherapy is the main choice to treat gynecologic cancers. Methods: Patients with recurrent cervical cancer, previously submitted to radiotherapy, were treated with stereotactic body radiation therapy using a CyberKnife system (Accuray Incorporated, Sunnyvale, California) with a fiducial tracking system. Results: From August 2011 to October 2014, 5 patients have been treated. Median age was 81 years (range, 70-84 years). Two patients were diagnosed with adenocarcinoma endometrioid and 3 with squamous cell carcinoma. Toxicity was scored according to the Radiation Therapy Oncology Group/European Organization for Research and Treatment of Cancer criteria. After a median follow-up of 12 months (range, 8-34 months), no severe (>grade 3) acute/late genitourinary or low gastrointestinal toxicity was observed. Conclusion: Our preliminary results of stereotactic body radiation therapy "simulating" high dose rate for recurrent cervical cancers confirm a minimal toxicity and an optimal outcome. The stereotactic body radiation therapy is an alternative to high dose rate brachytherapy for gynecologic tumors

A Java-Based Agent Platform for Programming Wireless Sensor Networks

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First observation of the cosmic ray shadow of the Moon and the Sun with KM3NeT/ORCA

This article reports the first observation of the Moon and the Sun shadows in the sky distribution of cosmic-ray induced muons measured by the KM3NeT/ORCA detector. The analysed data-taking period spans from February 2020 to November 2021, when the detector had 6 Detection Units deployed at the bottom of the Mediterranean Sea, each composed of 18 Digital Optical Modules. The shadows induced by the Moon and the Sun were detected at their nominal position with a statistical significance of 4.2 and 6.2 , and an angular resolution of and , respectively, consistent with the prediction of from simulations. This early result confirms the effectiveness of the detector calibration, in time, position and orientation and the accuracy of the event direction reconstruction. This also demonstrates the performance and the competitiveness of the detector in terms of pointing accuracy and angular resolution.Agence Nationale de la Recherche (ANR) ANR-15-CE31-0020Centre National de la Recherche Scientifique (CNRS)Commission Europeenne (FEDER fund), FranceMarie Curie Actions European Union (EU)Institut Universitaire de France (IUF), FranceLabEx UnivEarthS, France ANR-10-LABX-0023 ANR-18-IDEX-0001Paris ile-de-France Region, FranceGerman Research Foundation (DFG)Greek Ministry of Development-GSRTIstituto Nazionale di Fisica Nucleare (INFN), Ministero dell'Universita e della Ricerca (MIUR), PRIN 2017 program Italy NAT-NET 2017W4HA7SMinistry of Higher Education, Scientific Research and Innovation, MoroccoArab Fund for Economic and Social DevelopmentNetherlands Organization for Scientific Research (NWO) Netherlands GovernmentNational Science Centre, PolandNational Authority for Scientific Research (ANCS), RomaniaMCIN/AEI PID2021-124591NB-C41 PID2021-124591NB-C42 PID2021-124591NB-C43ERDF A way of making EuropeEuropean Union (EU)Center for Forestry Research & Experimentation (CIEF) ASFAE/2022/023 ASFAE/2022/014Programa Prometeo of the Generalitat Valenciana PROMETEO/2020/019GenT of the Generalitat Valenciana CIDEGENT/2018/034 CIDEGENT/2019/043 CIDEGENT/2020/049 CIDEGENT/2021/23Junta de Andalucia SOMM17/6104/UGR P18-FR-5057EU: MSC program 101025085Programa Maria Zambrano (Spanish Ministry of Universities - European Union, NextGenerationEU), Spai

Intersection Redesign for Network Resilience and Safety

This paper describes a procedure for improving the resilience of roadway networks. A methodology is outlined that develops a time-dependent and performance-based resilience index. This methodology was applied to an Italian road, with the aim of optimizing intersections that are critical due to inadequate baseline capacity. The methodology uses a calibrated microscopic traffic model (using Aimsun™) whereby average delay at intersection approaches are estimated by an analytical model. From the simulation, average speed over time is obtained for each approach. These values in turn are used as inputs for calculating each intersection’s resilience index. The procedure allows the identification of less resilient intersections, and provides design solutions for each of them. Lastly, a safety assessment is tested for one of the intersections

KM3NeT broadcast optical data transport system

The optical data transport system of the KM3NeT neutrino telescope at the bottom of the Mediterranean Sea will provide more than 6000 optical modules in the detector arrays with a point-to-point optical connection to the control stations onshore. The ARCA and ORCA detectors of KM3NeT are being installed at a depth of about 3500m and 2500 m, respectively and their distance to the control stations is about 100 kilometers and 40 kilometers. In particular, the two detectors are optimised for the detection of cosmic neutrinos with energies above about 1 TeV (ARCA) and for the detection of atmospheric neutrinos with energies in the range 1 GeV–1 TeV (ORCA). The expected maximum data rate is 200 Mbps per optical module. The implemented optical data transport system matches the layouts of the networks of electro-optical cables and junction boxes in the deep sea. For efficient use of the fibres in the system the technology of Dense Wavelength Division Multiplexing is applied. The performance of the optical system in terms of measured bit error rates, optical budget are presented. The next steps in the implementation of the system are also discussed.Agence Nationale de la Recherche (contract ANR-15-CE31-0020)Centre National de la Recherche Scientifique (CNRS)Commission Européenne (FEDER fund and Marie Curie Program), Institut Universitaire de France (IUF), LabEx UnivEarthS (ANR-10-LABX-0023 and ANR-18-IDEX-0001)Paris Île-de-France Region, France; Deutsche Forschungsgemeinschaft (DFG)Germany; The General Secretariat of Research and Innovation (GSRI)Greece Istituto Nazionale di Fisica Nucleare (INFN), Ministero dell’Università e della Ricerca (MIUR), PRIN 2017 program (Grant NAT-NET 2017W4HA7S) ItalyMinistry of Higher EducationScientific Research and InnovationMorocco, and the Arab Fund for Economic and Social Development, KuwaitNederlandse organisatie voor Wetenschappel¼k Onderzoek (NWO)The National Science Centre, Poland (2021/41/N/ST2/01177)National Authority for Scientific Research (ANCS)Romania; Ministerio de Ciencia, Innovación, Investigación y Universidades (MCIU)Programa Estatal de Generación de Conocimiento (refs. PGC2018-096663-B-C41-A-C42-B-C43-B-C44PID2021-124591NB-C41-C42, -C43)MCIU/FEDERGeneralitat ValencianaPrometeo (PROMETEO/2020/019)Grisolía (refs. GRISOLIA/2018/119, /2021/192)GenT (refs. CIDEGENT/2018/034, /2019/043, /2020/049, /2021/023) programsJunta de Andalucía (ref. A-FQM-053-UGR18)La Caixa Foundation (ref. LCF/BQ/IN17/11620019)EU: MSC program (ref. 101025085Spain; María Zambrano program within the framework of grants for retaining in the Spanish university system (Spanish Ministry of UniversitiesThe European Union, NextGenerationE

Machine Learning approach towards real time assessment of hand-arm vibration risk

In industry 4,0, the establishment of an interconnected environment where human operators cooperate with the machines offers the opportunity for substantially improving the ergonomics and safety conditions of the workplace. This topic is discussed in the paper referring to the vibration risk, which is a well-known cause of work-related pathologies. A wearable device has been developed to collect vibration data and to segment the signals obtained in time windows. A machine learning classifier is then proposed to recognize the worker’s activity and to evaluate the exposure to vibration risks. The experimental results demonstrate the feasibility and effectiveness of the methodology proposed