Research Methods in Occupational Health Psychology

http://www.springerpub.com/occupational-health-psychology.html Occupational Health Psychology (OHP) is a rapidly expanding interdisciplinary field that focuses on the science and practice of psychology in promoting and developing workplace health- and safety-related initiatives. This comprehensive text for undergraduate and graduate survey courses is the first to encompass a wide range of key issues in OHP. It draws from the domains of psychology, public health, preventive medicine,nursing, industrial engineering, law, and epidemiology to focus on the theory and practice of protecting and promoting the health, well-being, and safety of individuals in the workplace and improving the quality of work life. The text addresses key psychosocial work issues that are often related to mental and physical health problems, including psychological distress, burnout,depression, accidental injury, obesity, and cardiovascular disease. It examines leadership styles as they impact organizational culture and provides specific recommendations for reducing employee-related stress through improved leader practices. Also addressed is the relationship between adverse psychosocial working conditions and harmful health behaviors, along with interventions aimed at improving the work environment and maximizing effectiveness. Additionally, the book discusses how scientists and practitioners in OHP conduct research and other important concerns such as workplace violence, work/family balance, and safety

106GBaud (200G PAM4) CWDM EML for 800G/1.6T Optical Networks and AI Applications

We report ultrahigh speed 106GBaud (200G PAM4) electro-absorption modulated laser (EML) for 800G and 1.6T optical transmission. Four CWDM EMLs of 1271, 1291, 1311 and 1331nm in 800G FR4 optical transceivers show clear eye diagram after 2km. Our 106GBaud EMLs show high bandwidth, high extinction ratio, low threshold current and high power, making it a suitable source laser for 800G/1.6T and AI applications.&nbsp

Highly Facet-reflection Immune 53GBaud EML for 800G Artificial Intelligence Optical Transceivers

We developed a facet-reflection immune 53GBaud electro-absorption modulated laser (EML) for 800G artificial intelligence (AI) optical network. An ultra-low anti-reflection (AR) coating reflectivity of 2x10-5 has been demonstrated for straight waveguide. Based on Hakki-Paoli method, we characterized the ultra-low AR using the ripple test technique. Such ultra-low AR is critical in achieving excellent eye pattern and optical transmission for 800G AI supercomputing

Improved on Identity-based quantum signature based on Bell states

In 2020 Xin et al.proposed a new identity-based quantum signature based on Bell states scheme. By using a one-time padding (OTP) for both-side transfer operations like, XOR , Hadamard H, and Y, they confirmed the security of the proposed scheme. However, after analyses, we found that the scheme cannot resist both the existing forgery attack and meaningful message attack. Therefore, we modified their scheme to include the required security, unforgeability, which is very important in quantum signature scheme

Cross-referencing social media and public surveillance camera data for disaster response

Physical media (like surveillance cameras) and social media (like Instagram and Twitter) may both be useful in attaining on-the-ground information during an emergency or disaster situation. However, the intersection and reliability of both surveillance cameras and social media during a natural disaster are not fully understood. To address this gap, we tested whether social media is of utility when physical surveillance cameras went off-line during Hurricane Irma in 2017. Specifically, we collected and compared geo-tagged Instagram and Twitter posts in the state of Florida during times and in areas where public surveillance cameras went off-line. We report social media content and frequency and content to determine the utility for emergency managers or first responders during a natural disaster

A Diffie-Hellman quantum session key establishment protocol without entanglement

In 2016 and 2017, Shi et al first proposed two protocols for the communication parties to establish a quantum session key. Both work by rotating the angle of one communicator’s private key on the other party\u27s quantum public key. In their approaches, the session key shared by each pair of communicators is fixed after the key generation phase. Thereafter, the key used in each communication does not change, but for security consideration, the session key should be changed in every time usage. In other words, those key agreement protocols do not satisfy the requirement of key security. In view of this, this paper develops a quantum session key establishment based on the Diffie-Hermann style key exchange to produce different quantum session keys in each communications. After analysis, we confirm that our method can resist various attacks and is therefore secure

Rarefied, Superorbital Flows in an Expansion Tube

A free-piston driven expansion tube [X1 at the Centre for Hypersonics, University of Queensland] and its instrumentation is described. The facility was used to generate rarefied flows at speeds of approximately 10 km/s. Although the flow in the tube itself was in the continuum regime, rarefied flow conditions were achieved by allowing the flow at the exit of the expansion tube to expand as a free jet into the dump-tank test section. The flows were surveyed using bar-gauge pressure transducers; further flow details were obtained via numerical simulation. There was good agreement between most of the experimental data and the simulation results; however, some of the simulation results, such as shock speed, should be better estimated using a nonequilibrium thermochemical model. The test section flows were reasonably uniform and could be used to test small aerodynamic models at superorbital speeds thus providing data that is suitable for the calibration of Direct Simulation Monte Carlo codes

Results from the centers for disease control and prevention's predict the 2013-2014 Influenza Season Challenge

Background: Early insights into the timing of the start, peak, and intensity of the influenza season could be useful in planning influenza prevention and control activities. To encourage development and innovation in influenza forecasting, the Centers for Disease Control and Prevention (CDC) organized a challenge to predict the 2013-14 Unites States influenza season. Methods: Challenge contestants were asked to forecast the start, peak, and intensity of the 2013-2014 influenza season at the national level and at any or all Health and Human Services (HHS) region level(s). The challenge ran from December 1, 2013-March 27, 2014; contestants were required to submit 9 biweekly forecasts at the national level to be eligible. The selection of the winner was based on expert evaluation of the methodology used to make the prediction and the accuracy of the prediction as judged against the U.S. Outpatient Influenza-like Illness Surveillance Network (ILINet). Results: Nine teams submitted 13 forecasts for all required milestones. The first forecast was due on December 2, 2013; 3/13 forecasts received correctly predicted the start of the influenza season within one week, 1/13 predicted the peak within 1 week, 3/13 predicted the peak ILINet percentage within 1 %, and 4/13 predicted the season duration within 1 week. For the prediction due on December 19, 2013, the number of forecasts that correctly forecasted the peak week increased to 2/13, the peak percentage to 6/13, and the duration of the season to 6/13. As the season progressed, the forecasts became more stable and were closer to the season milestones. Conclusion: Forecasting has become technically feasible, but further efforts are needed to improve forecast accuracy so that policy makers can reliably use these predictions. CDC and challenge contestants plan to build upon the methods developed during this contest to improve the accuracy of influenza forecasts. © 2016 The Author(s)

Amino Acid Metabolic Origin as an Evolutionary Influence on Protein Sequence in Yeast

The metabolic cycle of Saccharomyces cerevisiae consists of alternating oxidative (respiration) and reductive (glycolysis) energy-yielding reactions. The intracellular concentrations of amino acid precursors generated by these reactions oscillate accordingly, attaining maximal concentration during the middle of their respective yeast metabolic cycle phases. Typically, the amino acids themselves are most abundant at the end of their precursor’s phase. We show that this metabolic cycling has likely biased the amino acid composition of proteins across the S. cerevisiae genome. In particular, we observed that the metabolic source of amino acids is the single most important source of variation in the amino acid compositions of functionally related proteins and that this signal appears only in (facultative) organisms using both oxidative and reductive metabolism. Periodically expressed proteins are enriched for amino acids generated in the preceding phase of the metabolic cycle. Proteins expressed during the oxidative phase contain more glycolysis-derived amino acids, whereas proteins expressed during the reductive phase contain more respiration-derived amino acids. Rare amino acids (e.g., tryptophan) are greatly overrepresented or underrepresented, relative to the proteomic average, in periodically expressed proteins, whereas common amino acids vary by a few percent. Genome-wide, we infer that 20,000 to 60,000 residues have been modified by this previously unappreciated pressure. This trend is strongest in ancient proteins, suggesting that oscillating endogenous amino acid availability exerted genome-wide selective pressure on protein sequences across evolutionary time

Measurement of nuclear modification factors of gamma(1S)), gamma(2S), and gamma(3S) mesons in PbPb collisions at root s(NN)=5.02 TeV

The cross sections for ϒ(1S), ϒ(2S), and ϒ(3S) production in lead-lead (PbPb) and proton-proton (pp) collisions at √sNN = 5.02 TeV have been measured using the CMS detector at the LHC. The nuclear modification factors, RAA, derived from the PbPb-to-pp ratio of yields for each state, are studied as functions of meson rapidity and transverse momentum, as well as PbPb collision centrality. The yields of all three states are found to be significantly suppressed, and compatible with a sequential ordering of the suppression, RAA(ϒ(1S)) > RAA(ϒ(2S)) > RAA(ϒ(3S)). The suppression of ϒ(1S) is larger than that seen at √sNN = 2.76 TeV, although the two are compatible within uncertainties. The upper limit on the RAA of ϒ(3S) integrated over pT, rapidity and centrality is 0.096 at 95% confidence level, which is the strongest suppression observed for a quarkonium state in heavy ion collisions to date. © 2019 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Funded by SCOAP3.Peer reviewe