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Using a panel of over 433,000 college students from over 600 institutions of higher education in the USA, we investigate students’ opinions of leadership skill development during their undergraduate tenure.

The data used in this analysis come from the Higher Education Research Institute, which runs the Cooperative Institutional Research Program (CIRP) housed at the University of California, Los Angeles. Among others, the CIRP administers two surveys known as The Freshman Survey (TFS) and the College Senior Survey (CSS).

The present research supports the extant literature and conventional wisdom of academic and student affairs professionals with regards to engagement in leadership classes or training where students have an opportunity to increase their knowledge bases through course content, and when there are opportunities for them to apply leadership principles, the students are more likely to report an increase in leadership capacity upon completion of their collegiate degree.

If colleges and universities are serious about fulfilling their espoused visions, then it is essential that awareness of leadership courses and applied opportunities be heightened and made a strategic priority to ensure resources are allocated in appropriate places to support these key efforts. It also suggests greater collaboration between academic and student affairs, as well as other departments (e.g. athletics and centers), is needed, as well as prioritizing experiential learning.

Existing research has examined English as a foreign language (EFL) students’ attitudes towards flipped learning. However, no study seems to have correlated students’ achievement and their attitudes towards flipped learning. Yemeni EFL students also face pronunciation problems and they lack technology-enhanced language learning. The flipped learning approach promotes active learning and increases students’ learning outcomes. This study aims to measure the achievement level and the attitudes of Yemeni EFL students towards flipped pronunciation classrooms. It also correlates between achievement and attitudes towards this new experience.

Using a correlational research design, quantitative and qualitative data were collected through a test, questionnaire and structured interview from an intact class of Yemeni EFL students at the College of Education in Socotra.

The one-sample t-test analysis shows that the respondents scored high in the achievement test. The analysis of both the questionnaire and the structured interview revealed that the students have a positive attitude towards the flipped pronunciation classroom. The correlation analysis indicated a high-level positive relationship between students’ achievement and their attitudes where r = 0.779 with p < 0.001, two-tailed.

The present study has some limitations regarding the sample size. This context-specific study recruited the available EFL class at the College of Education in Socotra, Hadhramout University. It would be more reliable should the study compared large groups of students so that the results can be generalized.

The study recommends using flipped learning to enhance pronunciation among EFL students.

This study contributes to the correlational studies in flipped learning.

The increase of containership sizes driven by the need to create greater economies of scale seems to be an endless process. Vessels of more than 21,000 TEU are presently on order. The purpose of this paper is to question whether a positive effect still remains at present mega ship sizes and, even if this was the case, whether such presumably small effect would be outweighed by costly operational impacts for the lines and the ports out of the huge ship sizes.

The effect of increasing ship sizes on the three major cost items in container shipping have been investigated by extrapolating founded regression curves, applying respective physical laws and referring lumpsum crewing cost (as the major part of the vessel’s running costs) to various ship sizes.

In this paper, it is shown that further effects of lower slot costs lessen while ships get larger. Hence, a further increase in ship sizes would not significantly reduce transport costs anymore. In contrast, the necessary efforts to prepare the ports for ships of ever-increasing size are growing over proportionally with every additional metre of draught and/or beam. It is shown that an ongoing increase of containership sizes, e.g. in the Europe-Far East trade, does not bring any further benefit, neither for the ports and their terminals nor even for the lines itself and not even for the shippers! It is an amazing mechanism that all stakeholders act rationally on their own, but the overall effect for all of them (including the public) has turned into negative.

The results may pave the way for a closer cooperation among ports, e.g. within the Hamburg-Le Havre range. Ports and terminals may see the opportunity to escape the spiral of ongoing efforts for deepening and widening the fairways and installing ever-bigger gantry cranes by agreeing on a joint policy with regard to maximum ship size.

The first step toward developing an automated construction workers performance monitoring system is to initially establish a complete and competent activity recognition solution, which is still lacking. This study aims to propose a novel approach of using labor physiological data collected through wearable sensors as means of remote and automatic activity recognition.

A pilot study is conducted against three pre-fabrication stone construction workers throughout three full working shifts to test the ability of automatically recognizing the type of activities they perform in-site through their lively measured physiological signals (i.e. blood volume pulse, respiration rate, heart rate, galvanic skin response and skin temperature). The physiological data are broadcasted from wearable sensors to a tablet application developed for this particular purpose, and are therefore used to train and assess the performance of various machine-learning classifiers.

A promising result of up to 88% accuracy level for activity recognition was achieved by using an artificial neural network classifier. Nonetheless, special care needs to be taken for some activities that evoke similar physiological patterns. It is expected that blending this method with other currently developed camera-based or kinetic-based methods would yield higher activity recognition accuracy levels.

The proposed method complements previously proposed labor tracking methods that focused on monitoring labor trajectories and postures, by using additional rich source of information from labors physiology, for real-time and remote activity recognition. Ultimately, this paves for an automated and comprehensive solution with which construction managers could monitor, control and collect rich real-time data about workers performance remotely.

To comply with the adopted Paris Agreement, global finance flows must be measured against climate scenarios consistent with possible pathways towards limiting global warming to 2°C or less. For this, there must be proven and accepted accounting principles for assessing financial plans of climate relevant actors against climate models. As there are a variety of data sources describing the financial plans of relevant actors, these principles must accommodate a variety of reported information, while still yielding relevant metrics to different stakeholders. The paper aims to discuss these issues.

A set of accounting principles tested by governments, financial supervisory bodies and both institutional investors and mangers, covering global-listed equity and corporate bond investment is described.

The application illustrates that a common set of accounting principles can act across both asset classes and provide relevant metrics to multiple stakeholders.

The principles require data of varying quality and are ultimately unverified. Thus, the definitive quality of the output metrics is uncertain and is yet to be characterized. The principles are yet to be applied to the credit market as the information is seldom publicly available, but it too plays an important role in the required market transition and therefore must be incorporated into these guiding principles of analysis.

The principles allow for standardised assessment of financial flows of equity and corporate debt with global climate scenarios.

It illustrates the acceptance of a common set of accounting principles that is relevant across different actors and asset classes and summarizes the principles underlying the first climate finance scenario analyses.

The crude oil market has experienced an unprecedented overreaction in the first half of the pandemic year 2020. This study aims to show the performance of the global crude oil market amid Covid-19 and spillover relations with other asset classes.

The authors employ various pandemic outbreak indicators to show the overreaction of the crude oil market due to Covid-19 infection. The analysis also presents market connectedness and spillover relations between the crude oil market and other asset classes.

One of the essential findings the authors report is that the crude oil market remains more responsive to pandemic fake news. The shock of the global pandemic panic index and pandemic sentiment index appears to be more promising. It has also been noticed that the energy trader's sentiment (OVX and OIV) was measured at a too high level within the Covid-19 outbreak. Volatility spillover analysis shows that crude oil and other market are closely connected, and the total connectedness index directs on average 35% contribution from spillover. During the initial growth of the infection, other macroeconomic and political events remained to favor the market. The second phase amidst the pandemic outbreak harms the global crude oil market. The authors find that infectious diseases increase investor panic and anxiety.

The crude oil investors' sentiment index OVX indicates fear and panic due to infectious diseases and lack of hedge funds to protect energy investments. The unparalleled overreaction of the investors gauged in OVX indicates market participants have paid an excessive put option (protection) premium over the contagious outbreak of the infectious disease.

The empirical model and result reported amid Covid-19 are novel in terms of employing a news-based index of the pandemic, which are based on the content analysis and text search using natural processing language with the aid of computer algorithms.

原油市場在流行病肆虐的2020年的頭半年經歷史無前例的過度反應。本文旨在顯示全球原油市場在2019冠狀病毒病流行期間的表現及原油市場與其它資產類別之溢出關係.

我們使用各種大流行病爆發的指標，來顯示原油市場因2019冠狀病毒病的感染而過度反應。我們的分析亦涉及市場的關聯性及原油市場與其它資產類別之溢出關係.

我們其中一個基本的發現是: 原油市場仍對大流行病的虛假新聞有更迅速的反應。全球大流行病恐慌性指數及大流行病情緒指數所帶來的震驚似乎是有希望的。大家亦察覺，能源交易商的情緒(OVX及OIV) 在2019冠狀病毒病爆發期間被測量為處於太高的水平。波動溢出分析顯示、原油與其它市場有密切的關係，而總關聯度指數引導平均35%來自溢出量的作用。在感染傳播初期，其它的宏觀經濟和政治事件仍對市場有利。在大流行病爆發期間的第二階段則損害全球原油市場。我們發現，傳染病會增加投資者的恐慌和焦慮.

原油投資者的情緒指數OVX顯示因傳染病及因缺乏對沖基金來保障能源投資而帶來的懼怕和恐慌。於OVX測算到的投資者空前的過度反應顯示市場參與者就這傳染病的感染爆發付出過量的賣權(保障)權利金.

我們的經驗模型和在2019冠狀病毒病肆虐期間匯報的研究結果，從使用以新聞為基礎的流行病指數的角度而言是新穎的。而這些全以內容分析和正文搜尋為基礎、使用自然語言處理，並輔以計算機算法.

This research sought to determine if there existed a common set of courses amongst undergraduate leadership degree programs, provide guidance for new program development and program revision, promote discussion about future leadership curriculum development and provide a starting point for developing common leadership curriculum expectations nationally.

Content analysis was performed.

Program course similarities appear to represent the organic development of unofficial common core requirements within undergraduate leadership programs. Further, there appeared to be no significant trend as to which academic department leadership programs were placed.

This study identifies commonly occurring classes in traditional leadership degrees, offering insights for the development of new programs and assessment of current leadership degrees.

In this article, we highlight ways in which disability critical race theory (DisCrit) (Annamma et al., 2013), inclusive education and community-based participatory research (CBPR) can be used within professional development schools (PDS) to provide students with disabilities with more access to inclusive classrooms. At a grade 4–6 elementary school, we developed a model of a critical PDS to promote inclusive education and facilitate the transition of students of color with disabilities from self-contained to inclusive classrooms. We conducted semi-structured interviews and used action plan meetings with school administrators, teachers, professionals and students with disabilities and their parents to assess the impact of our critical PDS model. Findings suggest this model had a positive impact on administrators’ and teachers’ critical consciousness, ideological and instructional practices, students of color with disabilities’ social, academic and personal outcomes, as well as a schoolwide culture of inclusion and social justice. This study can inform tailored professional development efforts to improve educators’ inclusive practices.

We conducted semi-structured interviews and used action plan meetings with school administrators, teachers, professionals and students with disabilities and their parents to assess the impact of our critical PDS model.

The findings of this study suggest this model had a positive impact on administrators’ and teachers’ critical consciousness, ideological and instructional practices, students of color with disabilities’ social, academic and personal outcomes, as well as a schoolwide culture of inclusion and social justice.

This study can inform tailored professional development efforts aiming to improve educators’ inclusive practices.

We developed a model of a critical PDS to promote inclusive education and facilitate the transition of students of color with disabilities from self-contained to inclusive classrooms.

Machine learning (ML) analytical tools are increasingly being considered as an alternative quantitative methodology in management research. This paper proposes a new approach for uncovering the antecedents behind product and product–service innovation (PSI).

The ML approach is novel in the field of innovation antecedents at the country level. A sample of the Equatorian National Survey on Technology and Innovation, consisting of more than 6,000 firms, is used to rank the antecedents of innovation.

The analysis reveals that the antecedents of product and PSI are distinct, yet rooted in the principles of open innovation and competitive priorities.

The analysis is based on a sample of Equatorian firms with the objective of showing how ML techniques are suitable for testing the antecedents of innovation in any other context.

The novel ML approach, in contrast to traditional quantitative analysis of the topic, can consider the full set of antecedent interactions to each of the innovations analyzed.

The production of the ‘good life’ or the ‘less bad-life’ (Berlant, 2007, 2011), especially among generations of the Marcos dictatorship and the Epifanio de los Santos Avenue revolutions (henceforth, EDSA revolutions) in the Philippines, is animated by the ‘mobility imperative’ (Farrugia, 2016). The mobility imperative includes processes that encourage or demand mobility (Farrugia, 2016) for individuals and institutions. It figures in various ‘systems of practice’ (Levitt, 1998, 2001) among families in migrant-sending communities, government and corporations that magnify how migration is the ticket to better life (McKay, 2012) or its glorification as a heroic act (de los Reyes, 2013, 2014). Among the generations of the Martial Law and the EDSA revolutions, therefore, the ‘good life’ is hinged upon departure as professionals (e.g. nurses and engineers), workers in elementary occupations (e.g. construction and domestic workers) or mail-order brides or pen pals. Put simply, the good life in these generations is a function of remittances.

This chapter examines how the contemporary generation of young people construct the ‘good life’ in differential and new terms (de los Reyes, 2023; McKay & Brady, 2005) from previous generations. Using interviews and vision boards of left-behind children (15–18 years old), it argues that left-behind children critically appraise the ‘mobility imperative’. The chapter shows that there is a growing imagination of alternatives to the migration-induced good life among left-behind children, and therefore, they gradually refuse the ‘mobility imperative’. For them, the aspired good life consists of potentially being employees or entrepreneurs in their own villages and living a life with their own families (de los Reyes, 2019, 2020).