Gender-Based Analysis of Senior High School teacher\u27s ICT Attitudes and Integration

This research delves into Senior High School teachers\u27 attitudes toward integrating Information and Communication Technology (ICT) in education. It aims to unveil the underlying factors that influence these attitudes and determine whether they exhibit significant disparities based on gender, age, teaching experience, ICT experience, ICT skills, and ICT training. The study delves into the intricate web of perspectives, beliefs, and emotions that mold the attitudes of Senior High School educators. It acknowledges the profound impact of their unique journeys, experiences, and competencies on these attitudes. This research recognizes that these attitudes are not merely abstract concepts but profound human responses with the potential to shape the future of education. Moreover, the study employs rigorous academic methods and statistical tools to conduct a meticulous analysis of the data. It scrutinizes the statistical significance of these attitudes, unveiling patterns that provide invaluable insights for educators, policymakers, and scholars dedicated to enhancing the educational landscape. In conclusion, this research, supported by robust findings and alignment with prior research in the field, offers invaluable insights for ICT policy planners, practitioners, and scholars. These insights can guide the development of more effective ICT training programs for teachers, prospective educators, and teacher training institutions

Revisiting the Paxos algorithm

Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.Includes bibliographical references (p. 138-142).by Roberto de Prisco.M.S

“I Am More than My Country of Origin”: An Arts-Based Engagement Ethnography with Racialized Newcomer Women in Canada

Many women immigrate with the hope that they will gain new opportunities for themselves and their families, however, they often face significant challenges due to the intersectional stigmas related to their gender, immigration status, and other aspects of their social location. In this study, we sought to understand the holistic experience of racialized newcomer women to better support their integration process. Using Arts-Based Engagement Ethnography (ABEE), we employed the use of cultural probes and qualitative interviews to gain an in-depth understanding of the experience of ten newcomer women. An ethnographic analysis of this data yielded four overarching structures which include (1) identity negotiation experiences, (2) process of integration and struggles with transition, (3) resiliency practices and processes, and (4) making meaning of migration experiences. Each of these structures included several patterns. Our results demonstrate the benefits of using arts-based qualitative methods with diverse communities to collect rich and varied data that highlights the multiple social identities of participants. These results also give an in-depth look at the numerous experiences, both positive and negative, that influence the well-being of newcomer women throughout the process of migration. The implications of this research emphasize the need to continue in our efforts to reduce systemic oppression, to create a more inclusive and equitable community

Search for Fragment Emission from Nuclear Shock Waves

Energy spectra and angular distributions have been measured of 3He and 4He fragments emitted from Ag and U targets, bombarded with 2.7-GeV protons, and 1.05-GeV/nucleon alpha particles and 16O ions. All cross sections increase dramatically with projectile mass. No narrow peaks are found in the angular distributions or in the energy spectra

Central collisions of relativistic heavy ions

The energy spectra of protons and light nuclei produced by the interaction of 4He and 20Ne projectiles with Al and U targets have been investigated at incident energies ranging from 0.25 to 2.1 GeV per nucleon. Single fragment inclusive spectra have been obtained at angles between 25° and 150°, in the energy range from 30 to 150 MeV/nucleon. The multiplicity of intermediate and high energy charged particles was determined in coincidence with the measured fragments. In a separate study, fragment spectra were obtained in the evaporation energy range from 12C and 20Ne bombardment of uranium. We observe structureless, exponentially decaying spectra throughout the range of studied fragment masses. There is evidence for two major classes of fragments; one with emission at intermediate temperature from a system moving slowly in the lab frame, and the other with high temperature emission from a system propagating at a velocity intermediate between target and projectile. The high energy proton spectra are fairly well reproduced by a nuclear fireball model based on simple geometrical, kinematical, and statistical assumptions. Light cluster emission is also discussed in the framework of statistical models. NUCLEAR REACTIONS U(20Ne,X), E=250 MeV/nucl.; U(20Ne,X), U(α,X) E=400 MeV/nucl.; U(20Ne,X), Al(20Ne,X), E=2.1 GeV/nucl.; measured σ(E,θ), X=p, d, t, 3He,4He. U(20Ne,X), U(α,X), E=400 MeV/nucl.; U(20Ne,X), E=2.1 GeV/nucl.; measured σ(E, θ), Li to O. U(20Ne,X), U(12C,X), E=2.1 GeV/nucl.; measured σ(E, 90°), 4He to B. Nuclear fireballs, coalescence, thermodynamics of light nuclei production

Nuclear fireball model for proton inclusive spectra from relativistic heavy-ion collisions

A simple model is proposed for the emission of nucleons with velocities intermediate between those of the target and projectile. In this model, the nucleons which are mutually swept out from the target and projectile form a hot quasiequilibrated fireball which decays as an ideal gas. The overall features of the proton-inclusive spectra from 250- and 400-MeV/nucleon 20Ne ions and 400-MeV/nucleon 4He ions interacting with uranium are fitted without any adjustable parameters

Long-term exposure to air pollution and chronic kidney disease-associated mortality - results from the pooled cohort of the European multicentre ELAPSE-study

Despite the known link between air pollution and cause-specific mortality, its relation to chronic kidney disease (CKD)-associated mortality is understudied. Therefore, we investigated the association between long-term exposure to air pollution and CKD-related mortality in a large multicentre population-based European cohort. Cohort data were linked to local mortality registry data. CKD-death was defined as ICD10 codes N18-N19 or corresponding ICD9 codes. Mean annual exposure at participant's home address was determined with fine spatial resolution exposure models for nitrogen dioxide (NO 2), black carbon (BC), ozone (O 3), particulate matter ≤2.5μm (PM 2.5) and several elemental constituents of PM 2.5. Cox regression models were adjusted for age, sex, cohort, calendar year of recruitment, smoking status, marital status, employment status and neighbourhood mean income. Over a mean follow-up time of 20.4 years, 313 of 289 564 persons died from CKD. Associations were positive for PM 2.5 (hazard ratio (HR) with 95% confidence interval (CI) of 1.31 (1.03-1.66) per 5μg/m 3, BC (1.26 (1.03-1.53) per 0.5×10 - 5/m), NO 2 (1.13 (0.93-1.38) per 10μg/m 3) and inverse for O 3 (0.71 (0.54-0.93) per 10μg/m 3). Results were robust to further covariate adjustment. Exclusion of the largest sub-cohort contributing 226 cases, led to null associations. Among the elemental constituents, Cu, Fe, K, Ni, S and Zn, representing different sources including traffic, biomass and oil burning and secondary pollutants, were associated with CKD-related mortality. In conclusion, our results suggest an association between air pollution from different sources and CKD-related mortality

Pion production in the 40Ar+40Ca reaction at 1.05 GeV/nucleon

Pion-production cross sections have been measured for the reaction 40Ar+40Ca--> pi ++X at a laboratory energy of 1.05 GeV/nucleon. A maximum in the pi + cross section occurs at mid-rapidity, which is anomalous relative to p+p and p+nucleus reactions and compared to many other heavy-ion reactions. Calculations based on cascade and thermal models fail to fit the data