Recruitment of International Students through a Synthesis of English as a Second Language Instruction, Social Justice, and Service Learning

Universities across the U.S. have increasingly emphasized internationalization, leading to rising numbers of international students attending U.S. institutions of higher education. However, these students tend to gravitate toward larger research-intensive universities with many other institutions seeing no increase in international student enrollments. Little is known concerning how to attract international students to regional institutions lacking name recognition. To address the above and promote internationalization through increasing the presence of students from abroad, an academic department at a regional public U.S. college used needs analysis to develop a pilot program for Japanese university students (N = 13). The program involved a synthesis of English as a Second Language instruction, social justice as a content area, and service learning, in a two-week credit-bearing summer session course. A post-participation survey revealed highly positive reactions, particularly in terms of working with local community members, and broad agreement that the program had been life-altering. The implications for international student program development at regional institutions are discussed

The Nature of Anti-Asian American Xenophobia during the Coronavirus Pandemic: A Preliminary Exploration into Envy as a Key Motivator of Hate

Background. The current Coronavirus pandemic has been linked to a dramatic increase in anti-Asian American and Pacific Islander (AAPI) hate incidents in the United States. At the time of writing, there does not appear to be any published empirical research examining the mechanisms underlying Asiaphobia during the current pandemic. Based on the stereotype content model, we investigated the idea that ambivalent attitudes toward AAPIs, marked primarily with envy, may be contributing to anti-AAPI xenophobia. Methods. Study 1 (N = 140) explored, through a survey, the link between envious stereotypes toward AAPIs and Asiaphobia. Study 2 (N = 167), utilizing autobiographical recall tasks, experimentally induced the affect of envy in order to establish causality between feelings of envy toward AAPIs and Asiaphobia. Results. In Study 1, envious stereotypes toward AAPIs were found to be predictive of Asiaphobia and, in Study 2, the inducement of envy led to heightened levels of Asiaphobia. Conclusions. The current research provides support for the proposition that, consistent with the stereotype content model, stereotypes and attitudes toward AAPIs marked with ambivalent and envious views, consisting of a mix of perceived competence and lack of “human warmth,” may be fueling Asiaphobia. Implications for potential applications and future research are discussed

Computational Thinking and Coding for Young Children: A Hybrid Approach to Link Unplugged and Plugged Activities

In our increasingly technology-dependent society, the importance of promoting digital literacy (e.g., computational thinking, coding, and programming) has become a critical focus in the field of childhood education. While young children these days are routinely and extensively exposed to digital devices and tools, the efficacy of the methods for fostering digital skills in the early childhood classroom has not always been closely considered. This is particularly true in settings where early childhood educators are not digital experts. Currently, most of the efforts in standard early childhood settings, taught by teachers who are not digital experts, appear to revolve around “unplugged” activities that do not directly involve digital tools or devices, and it is not entirely clear how well these “unplugged” lessons promote the corresponding skills in “plugged” settings, such as coding and programming. This article discusses how, through further research, we may be able to devise an effective method for seamlessly building digital literacy among young children, transcending the “unplugged vs. plugged” barriers effortlessly

Reopening America\u27s Schools During the COVID-19 Pandemic: Protecting Asian Students From Stigma and Discrimination

The COVID-19 outbreak has prompted a rise in stigma and discrimination against people of Asian descent in many areas in the world, including the United States1. Anti-Asian hate incidents, which have ranged from verbal attacks, refusal of service to physical assault, continue to transpire in the U.S., and they put psychological and physical well-being of Asian children at increased risk. Discussions toward reopening of U.S. schools thus far, however, seem to have exclusively included the infection-related concerns and pedagogical consequences of continued disruptions in face-to-face instructions. Hence, educators, policymakers, and other stakeholders need to have plans in place to ensure that reopening of schools will be a smooth experience for students of all backgrounds

Quantum memory of a squeezed vacuum for arbitrary frequency sidebands

We have developed a quantum memory technique that is completely compatible with current quantum information processing for continuous variables of light, where arbitrary frequency sidebands of a squeezed vacuum can be stored and retrieved using bichromatic electromagnetic induced transparency. 2MHz sidebands of squeezed vacuum pulses with temporal widths of 470ns and a squeezing level of -1.78 +- 0.02dB were stored for 3us in the laser-cooled 87Rb atoms. -0.44 +- 0.02dB of squeezing was retrieved, which is the highest squeezing ever reported for a retrieved pulse.Comment: 4pages, 5figure

Preservice Teachers as Learners, Designers and Implementers of Computational Thinking (LDI-CT)

Computational thinking (CT) has gained significant recognition in education in recent years. When considering young children learning CT concepts, it\u27s essential to also assess teachers’ understanding of computational thinking. Therefore, educators in teacher preparation programs must equip candidates with these skills to meet the growing demand for developing students’ digital literacy. This project aimed to understand how to strategically incorporate CT instruction into a teacher education program in the Elementary and Early Childhood Education Department. It focuses on assessing preservice teachers\u27 (PSTs) understanding of computational thinking and their ability to design CT-integrated science lesson plans based on their experiences with unplugged CT activities in a science methods course. Participants included two groups of PSTs: one group had learned about CT and its applications, while the other had not. Through triangulation of CT-integrated lesson plans, PST reflections on their integration experiences, and survey responses, we found that while PSTs could describe the main components of CT, they struggled to integrate these components into their lesson plans. This pattern was evident in both groups. Notably, the breadth of knowledge PSTs were expected to acquire in one semester may have caused confusion, even as they expressed confidence in their ability to integrate CT. We believe that a more focused and explicit introduction to the four main components of CT and their application in subject-area instruction during the first semester of the program will enable PSTs to achieve a foundational mastery before they enter methods courses. This approach may facilitate their integration of CT with the new competencies they will acquire in these courses

Storage and Retrieval of a Squeezed Vacuum

Storage and retrieval of a squeezed vacuum was successfully demonstrated using electromagnetically induced transparency. 930ns of the squeezed vacuum pulse was incident on the laser cooled 87Rb atoms with an intense control light in a coherent state. When the squeezed vacuum pulse was slowed and spatially compressed in the cold atoms, the control light was switched off. After 3us of storage, the control light was switched on again and the squeezed vacuum was retrieved, as was confirmed using the time-domain homodyne method.Comment: 4 pages, 4 figures, to appear in Physical Review Letter

Combined treatment with dipeptidyl peptidase 4 (DPP4) inhibitor sitagliptin and elemental diets reduced indomethacin-induced intestinal injury in rats via the increase of mucosal glucagon-like peptide-2 concentration.

The gut incretin glucagon-like peptide-1 (GLP-1) and the intestinotropic hormone GLP-2 are released from enteroendocrine L cells in response to ingested nutrients. Treatment with an exogenous GLP-2 analogue increases intestinal villous mass and prevents intestinal injury. Since GLP-2 is rapidly degraded by dipeptidyl peptidase 4 (DPP4), DPP4 inhibition may be an effective treatment for intestinal ulcers. We measured mRNA expression and DPP enzymatic activity in intestinal segments. Mucosal DPP activity and GLP concentrations were measured after administration of the DPP4 inhibitor sitagliptin (STG). Small intestinal ulcers were induced by indomethacin (IM) injection. STG was given before IM treatment, or orally administered after IM treatment with or without an elemental diet (ED). DPP4 mRNA expression and enzymatic activity were high in the jejunum and ileum. STG dose-dependently suppressed ileal mucosal enzyme activity. Treatment with STG prior to IM reduced small intestinal ulcer scores. Combined treatment with STG and ED accelerated intestinal ulcer healing, accompanied by increased mucosal GLP-2 concentrations. The reduction of ulcers by ED and STG was reversed by co-administration of the GLP-2 receptor antagonist. DPP4 inhibition combined with luminal nutrients, which up-regulate mucosal concentrations of GLP-2, may be an effective therapy for the treatment of small intestinal ulcers

Patient-reported dyspnea and health predict waitlist mortality in patients waiting for lung transplantation in Japan

Background: Waitlist mortality due to donor shortage for lung transplantation is a serious problem worldwide. Currently, the selection of recipients in Japan is mainly based on the registration order. Hence, scientific evidence for risk stratification regarding waitlist mortality is urgently needed. We hypothesized that patient-reported dyspnea and health would predict mortality in patients waitlisted for lung transplantation. Methods: We analyzed factors related to waitlist mortality using data of 203 patients who were registered as candidates for lung transplantation from deceased donors. Dyspnea was evaluated using the modified Medical Research Council (mMRC) dyspnea scale, and the health status was determined with St. George's Respiratory Questionnaire (SGRQ). Results: Among 197 patients who met the inclusion criteria, the main underlying disease was interstitial lung disease (99 patients). During the median follow-up period of 572 days, 72 patients died and 96 received lung transplantation (69 from deceased donors). Univariable competing risk analyses revealed that both mMRC dyspnea and SGRQ Total score were significantly associated with waitlist mortality (p = 0.003 and p < 0.001, respectively) as well as age, interstitial lung disease, arterial partial pressure of carbon dioxide, and forced vital capacity. Multivariable competing risk analyses revealed that the mMRC and SGRQ score were associated with waitlist mortality in addition to age and interstitial lung disease. Conclusions: Both mMRC dyspnea and SGRQ score were significantly associated with waitlist mortality, in addition to other clinical variables such as patients' background, underlying disease, and pulmonary function. Patient-reported dyspnea and health may be measured through multi-dimensional analysis (including subjective perceptions) and for risk stratification regarding waitlist mortality