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Code-switching is especially common within the Southeast Asian region which is home to a large number of bilinguals and multilinguals. Over the years, code-switching has been studied extensively, both in and out of Asia, via sociolinguistics, structural linguistics, and psycholinguistics. From the psycholinguistic perspective, code-switching is said to be the result of the co-activation of languages during the process of speech production for bilinguals. Grosjean's Language Mode and Green's Control Process Model are two psycholinguistic frameworks focusing on the psycholinguistic as well as interactional factors behind code-switching. However, past studies in this area were mostly experimental in nature. It is necessary to consider authentic production data to develop a greater understanding of the code-switching phenomenon especially within the Southeast Asian context due to its bilingual and multilingual communities. This conceptual paper aims to demonstrate how the interactional and psycholinguistic factors behind code-switching can be examined using authentic production data. In particular, a review of the literature pointed to the Conversation Analysis (CA) approach to code-switching as well as the concepts of triggered code-switching and primed code-switching as being relevant. Accordingly, this paper describes each construct in detail and provides suggestions on how they can be brought together in a single study on code-switching based on authentic production data. [ABSTRACT FROM AUTHOR]

Throughout human history, people have always produced waste, but during the last century, this has shown explosive growth. Globally, a combination of rising incomes, urbanization, the development of new, cheap materials, and changing lifestyles have driven the growth of products that were designed to be used for only limited periods of time producing a totally unprecedented amount and variety of waste. However, this development has not affected all people in similar ways. Waste has been a marker of unprecedented but unbalanced efficiency, wealth and power, and conflict. Five articles address waste as a function of conflicts in areas in various places in Europe and Asia. Collectively, these papers shed an unusual light on the twentieth century world through a collection of cases, in which conflicts have tended to exacerbate challenges of waste, either by increasing the quantity of weapons and their (often toxic) remains, or by creating contexts in which the confrontation with adversaries often relegated environmental, social and health-related consideration to the backstage. [ABSTRACT FROM AUTHOR]

Due to the recent developments in the delivery of teaching-learning processes when COVID-19 hit the world with a health crisis and pandemic, it is crucial to look into the quality of courses delivered via online means or through distance education modality. This paper examines implementation and application of quality assurance (QA) landscape in Distance Education (DE). A documentary review using bibliographic inquiry is used as a methodology approach to gather relevant information to address the study questions. Previous studies on QA in DE are examined and arranged into themes using thematic analysis. Findings revealed that most of the literature on QA in DE in Africa and Asia based on the reviewed Open and Distance Learning (ODL) institutions are basically dealing with frameworks, outcomes and performance, instructional design, student services and challenges as well as parity in terms of quality with the traditional institutions. Therefore, this paper concludes that more studies are needed for QA in DE to match the post-COVID-19 trends on improving QA. This implies that there is a need to expand research on QA in DE to include areas of artificial intelligence. [ABSTRACT FROM AUTHOR]

This paper aims to achieve bedrock geologic mapping in the overburden area using big data, distributed computing, and deep learning techniques. First, the satellite Bouguer gravity anomaly with a resolution of 2'x2' in the range of E66°E96°, N40°-N55° and 1:5000000 Asia-European geological map are used to design a dataset for bedrock prediction. Then, starting from the gravity anomaly formula in the spherical coordinate system, we deduce the non-linear functional between rock density ρ and rock mineral composition m, content p, buried depth h, diagenesis time t and other variables. We analyze the feasibility of using deep neural network to approximate the above nonlinear generalization. The problem of solving deep neural network parameters is transformed into a non-convex optimization problem. We give an iterative, gradient descentbased solution algorithm for the non-convex optimization problem. Utilizing neural architecture search (NAS) and human-designed approach, we propose a geological-geophysical mapping network (GGMNet). The dataset for the network consists of both gravity anomaly and a priori geological information. The network has fast convergence speed and stable iteration during the training process. It also has better performance than a single neural network search or human-designed architectures, with the mean pixel accuracy (MAP) = 63.1% and the frequency weighted intersection over union (FWIoU) = 42.88. Finally, the GGMNet is used to predict the rock distribution of the Junggar Basin. [ABSTRACT FROM AUTHOR]

Diversity and inclusion scholarship addresses inequality at work across categories of difference marked with historical disadvantages such as gender, ethnicity, disability, sexual orientation, and class or categories meaningful for the industrial, organisational or local settings. This scholarship has not considered political ties to be a diversity strand. However, political ties are a considerable source of uneven power relations, unearned privileges, and unjust discrimination in many contexts. Similarly, political ties could be sources of disadvantage, exclusion and discrimination for individuals with weak, absent or oppositional political affiliations. Our paper focuses on the Asian context, where political ties are often a legitimate human and institutional resource that can shape individual choices and chances at work. By defining political ties as a diversity and inclusion strand, we critique the legitimacy of political ties as a dominant and desirable resource and present political tie discrimination as a wicked social problem that entrenches uneven relations of power and authority in workplaces. Highlighting how political affiliation manifests across different national contexts in Asia, we explore the utility of adding political ties to the Asian vernacular to regulate workplace diversity and inclusion. Asia provides an interesting context in which the interplay between political affiliation and workplace relations is often culturally endorsed, remains unregulated and unscrutinised through ethical and anti-discrimination regulations. Thus, Asia provides an ideal setting to explore the emergence of political tie diversity and inclusion at work. We illustrate this through country-specific examples, illustrating the cross-national varieties of political tie diversity in the Asian business context. We also suggest a roadmap to manage political tie diversity and inclusion for this context. [ABSTRACT FROM AUTHOR]

Harmony of being, a concept that recognized philosophy, values, social science as a unit whole in understanding humanity holistically. This research paper aimed to discuss the relevance of this approach to NU MOA students and faculty members. The essence of studying how it enhanced personal growth and development was therefore explored through this paper. The research methodology used an exploratory and documentary analysis in which primary and secondary sources were used as data collection tools. In conclusion, the results from this study could be used by NU MOA to come up with programs that enhanced harmony among its students and staff. [ABSTRACT FROM AUTHOR]

This document is an editorial from the International Journal of Water Resources Development, discussing the importance of water resource management in agriculture for achieving food and water security in Asia. It highlights the role of agriculture in water usage and the challenges posed by climate change and increased demand. The editorial presents research papers on topics such as the impact of climate change on food security, the effects of weather variables on crop yields, the benefits of irrigation mechanization, and groundwater governance. It concludes by emphasizing the need for integrated measures, technological development, provision of irrigation facilities, and improved water governance for sustainable water management in agriculture. Additionally, the document includes a list of contact information for individuals affiliated with institutions such as the Asian Development Bank Institute and the University of Glasgow's School of Social & Environmental Sustainability. [Extracted from the article]

The sugar apple (Annona squamosa) is valued for its taste, nutritional richness, and versatility, making it suitable for fresh consumption and medicinal use with significant commercial potential. Widely found in the tropical Americas and Asia's tropical or subtropical regions, it faces challenges in post-harvest ripeness assessment, predominantly reliant on manual inspection, leading to inefficiency and high labor costs. This paper explores the application of computer vision techniques in detecting ripeness levels of harvested sugar apples and proposes an improved deep learning model (ECD-DeepLabv3+) specifically designed for ripeness detection tasks. Firstly, the proposed model adopts a lightweight backbone (MobileNetV2), reducing complexity while maintaining performance through MobileNetV2′s unique design. Secondly, it incorporates the efficient channel attention (ECA) module to enhance focus on the input image and capture crucial feature information. Additionally, a Dense ASPP module is introduced, which enhances the model's perceptual ability and expands the receptive field by stacking feature maps processed with different dilation rates. Lastly, the proposed model emphasizes the spatial information of sugar apples at different ripeness levels by the coordinate attention (CA) module. Model performance is validated using a self-made dataset of harvested optical images categorized into three ripeness levels. The proposed model (ECD-DeepLabv3+) achieves values of 89.95% for MIoU, 94.58% for MPA, 96.60% for PA, and 94.61% for MF1, respectively. Compared to the original DeepLabv3+, it greatly reduces the number of model parameters (Params) and floating-point operations (Flops) by 89.20% and 69.09%, respectively. Moreover, the proposed method could be directly applied to optical images obtained from the surface of the sugar apple, which provides a potential solution for the detection of post-harvest fruit ripeness. [ABSTRACT FROM AUTHOR]

Creativity and Innovation Management has grown substantially over the last couple of years, both quantitatively and qualitatively. From 2016 to 2021, the number of submissions has grown from 287 to 395. Most of the growth was realized in Asia: The number of submissions from that continent increased from 72 in 2016 to 193 in 2021. The rest of the world remained (close to) stable: 215 in 2016 and 203 in 2021. Equally important, the Thomson ISI Impact Factor increased from 1.423 in 2015 to 3.051 in 2021 and further to 3.644 in 2022. This is not where our ambitions end, though. We want to be the ever‐better outlet for authors researching, and practitioners working in, the fields we cover. Editing a journal with the ambition to continuously increase its quality while dealing with a substantial growth requires teamwork—teamwork among the editors and the editorial office, teamwork between the editors and their reviewers and, as surprising as this may sound, teamwork between the authors and their reviewers in a top‐quality reviewing process. The purpose of this piece is to present and discuss some reviewing standards. In particular, we aim to share with our reviewers what we think is an excellent reviewing process. Furthermore, we formulate our ideas about what it is that makes a review an excellent one. The title of this piece is deliberately ambiguous. It denotes that Creativity and Innovation Management strives for reviewing excellence—as in an excellent reviewing process. It also denotes that we reach for the stars and hope to one day receive and, hence, review only excellent submissions. [ABSTRACT FROM AUTHOR]

With the growing demand for aquatic products, aquaculture has become a prominent means of meeting this demand. However, the selection of suitable sites for aquaculture remains a key factor in the success of any aquaculture operation. While various methods exist for site selection, geographic information system (GIS)-based multi-criteria evaluation (MCE) methods have emerged as the most widely utilized approach to identifying potential aquaculture sites. Following the guidelines of the preferred reporting items for systematic reviews and meta-analyses (PRISMA), this paper presents a systematic review and meta-analysis of GIS-based MCE methods used in aquaculture sites selection. The objective of this study is to offer a comprehensive overview of existing research in this field and develop a general model for selecting sites for fish and shellfish aquaculture. The main findings indicate a growing number of studies utilizing GIS-based MCE in aquaculture site selection in recent years, with Asia being the leading continent in terms of publications in this domain. Among the journals publishing in this field, the Aquaculture journal stands out as the top publisher. Using consistent criteria across the reviewed studies, two models have been generated, each consisting of four sub-models: water quality, soil quality, infrastructure, and socioeconomic factors; and topography, environment, and physical parameters. These models can aid future researchers and assist decision-makers in identifying optimal locations for aquaculture development. [ABSTRACT FROM AUTHOR]

Accurate snow depth estimation is of significant importance, particularly for preventing avalanche disasters and predicting flood seasons. The predominant approaches for such snow depth estimation, based on deep learning methods, typically rely on passive microwave remote sensing data. However, due to the low resolution of passive microwave remote sensing data, it often results in low-accuracy outcomes, posing considerable limitations in application. To further improve the accuracy of snow depth estimation, in this paper, we used active microwave remote sensing data. We fused multi-spectral optical satellite images, synthetic aperture radar (SAR) images and land cover distribution images to generate a snow remote sensing dataset (SRSD). It is a first-of-its-kind dataset that includes active microwave remote sensing images in high-latitude regions of Asia. Using these novel data, we proposed a multi-scale feature perception and aggregation neural network (MFPANet) that focuses on improving feature extraction from multi-source images. Our systematic analysis reveals that the proposed approach is not only robust but also achieves high accuracy in snow depth estimation compared to existing state-of-the-art methods, with RMSE of 0.360 and with MAE of 0.128. Finally, we selected several representative areas in our study region and applied our method to map snow depth distribution, demonstrating its broad application prospects. [ABSTRACT FROM AUTHOR]

Japan exports sophisticated capital goods. Since the Global Financial Crisis (GFC), Japanese companies have offshored the production of lower-end goods and parts and components to Asian countries. Because of this, several researchers argued that a weaker yen no longer stimulates machinery exports much because an increase in Japanese exports increases parts and components imports from overseas Asian subsidiaries. This paper finds that, after the GFC, a weaker yen no longer increases Japanese machinery exports to Asia but continues to stimulate exports outside of Asia. Thus, the weaker yen since 2020 does not help Asian firms to import vital Japanese capital goods but does increase the profitability of Japanese manufacturers and their exports to non-Asian countries. [ABSTRACT FROM AUTHOR]

Global challenges such as climate change, biodiversity loss, and health crises necessitate a shift towards sustainable diets. Incorporating sustainability into food-based dietary guidelines (FBDGs) is essential for this shift, and cultural considerations also play a vital role, as food culture significantly influences dietary habits. Considering that Asia and Europe exhibit distinct food cultures, tailored approaches are necessary. Additionally, countries face diverse nutritional challenges, ranging from malnutrition to diet-related diseases, and regional variation in environmental impact necessitates context-specific strategies. Achieving sustainable nutrition depends on understanding cultural influences and regional dynamics. This paper compares China’s and Germany’s dietary guidelines and dietary patterns and their impact on sustainability. It shows that Chinese and German FBDGs only slightly differ, despite the different eating cultures and habits of each country. Alone the recommended amounts for eggs and fish are considerably higher in China than in Germany. However, in both China and Germany, actual dietary patterns deviate from the dietary guidelines. In China, concomitant with economic growth and urbanization, a dietary shift towards increased consumption of animal products and decreased consumption of vegetables and cereals has been observed in the last decades, which has led to a decline in nutritional deficiencies but an increase in obesity and overweight. Obesity and overweight are also on the rise in Germany. A dietary shift could therefore also be beneficial for public health. While following the respective national guidelines would benefit the environment, alternative diets such as a plant-based diet offer even lower environmental footprint. Revising guidelines to prioritize sustainability in addition to health aspects while considering regional contexts and cultural preferences is recommended to foster sustainable eating habits globally. This approach is pivotal for promoting dietary shift towards sustainability on a global scale. [ABSTRACT FROM AUTHOR]

The brown planthopper (BPH), Nilaparvata lugens (Stål), is one of the most important rice pests in Asia rice regions. BPH has monophagy, migration, rapid reproduction and strong environmental adaptability, and its control is a major problem in pest management. Adult BPH exhibit wing dimorphism, and the symbiotic microbiota enriched in the gut can provide energy for wing flight muscles as a source of nutrition. In order to study the diversity of symbiotic microbiota in different winged BPHs, this paper takes female BPH as the research object. It was found that the number of symbiotic microbiota of different winged BPHs would change at different development stages. Then, based on the 16S rRNA and ITS sequences, a metagenomic library was constructed, combined with fluorescent quantitative PCR and high-throughput sequencing, the dominant symbiotic microbiota flora in the gut of different winged BPHs was found, and the community structure and composition of symbiotic microbiota in different winged BPHs were further determined. Together, our results preliminarily revealed that symbiotic microbiota in the gut of BPHs have certain effects on wing morphology, and understanding the mechanisms underlying wing morph differentiation will clarify how nutritional factors or environmental cues alter or regulate physiological and metabolic pathways. These findings also establish a theoretical basis for subsequent explorations into BPH-symbiont interplay. [ABSTRACT FROM AUTHOR]

The unique P-band synthetic aperture radar (SAR) instrument, BIOMASS, is scheduled for launch in 2024. This satellite will enhance the estimation of subcanopy topography, owing to its strong penetration and fully polarimetric observation capability. In order to conduct global-scale mapping of the subcanopy topography, it is crucial to calibrate systematic errors of different strips through interferometric SAR (InSAR) DEM (digital elevation model) block adjustment. Furthermore, the BIOMASS mission will operate in repeat-pass interferometric mode, facing the atmospheric delay errors introduced by changes in atmospheric conditions. However, the existing block adjustment methods aim to calibrate systematic errors in bistatic mode, which can avoid possible errors from atmospheric effects through interferometry. Therefore, there is still a lack of systematic error calibration methods under the interference of atmospheric effects. To address this issue, we propose a block adjustment model considering atmospheric effects. Our model begins by employing the sub-aperture decomposition technique to form forward-looking and backward-looking interferograms, then multi-resolution weighted correlation analysis based on sub-aperture interferograms (SA-MRWCA) is utilized to detect atmospheric delay errors. Subsequently, the block adjustment model considering atmospheric effects can be established based on the SA-MRWCA. Finally, we use robust Helmert variance component estimation (RHVCE) to build the posterior stochastic model to improve parameter estimation accuracy. Due to the lack of spaceborne P-band data, this paper utilized L-band Advanced Land Observing Satellite (ALOS)-1 PALSAR data, which is also long-wavelength, to emulate systematic error calibration of the BIOMASS mission. We chose climatically diverse inland regions of Asia and the coastal regions of South America to assess the model's effectiveness. The results show that the proposed block adjustment model considering atmospheric effects improved accuracy by 72.2% in the inland test site, with root mean square error (RMSE) decreasing from 10.85 m to 3.02 m. Moreover, the accuracy in the coastal test site improved by 80.2%, with RMSE decreasing from 16.19 m to 3.22 m. [ABSTRACT FROM AUTHOR]

Observations have revealed that the deadly "hot eastern‐pluvial western" climate pattern in Asia in summer 2022 is by no means an exception. In recent decade this pattern is becoming much more frequent owing to the notable westward extension and enhancement of the western Pacific subtropical high (WPSH). The anomalously enhanced WPSH fills the gap in geopotential heights between the Arabian Sea‐Iranian Plateau and the western Pacific, produces a heat dome over eastern Asia and intensifies the moisture convergence over western Asia by changing the water vapor transportation path. Projections of 19 CMIP6 models show that both the temperature in eastern Asia and precipitation in western Asia will remarkably increase under Shared Socioeconomic Pathway (SSP) 2‐4.5, SSP 3‐7.0, and SSP 5‐8.5 scenarios, with temperature anomalies 0.8°C, 1.5°C, and 2.4°C higher and the percentages of precipitation anomaly 6.3%, 9.4%, and 12.5% larger than the reference period in the near, middle, and long terms under the moderate emission scenario (SSP2‐4.5). Therefore, the "hot eastern‐pluvial western" Asia is becoming a new normal and exacerbating the risk of compound disasters. Plain Language Summary: In summer 2022, eastern Asia experienced the most extensive and long‐lasting heatwave since 1951, while exceptional floods hit western Asia during the same period. It is found that this "hot eastern‐pluvial western" pattern has occurred more and more frequently since 1981. This could be attributed to the linear trend of the westward extension and enhancement of the western Pacific subtropical high. In this paper, we assess the expected changes by using the latest generation of global climate model projections. The "hot eastern‐pluvial western" climate pattern and the associated atmospheric circulations are projected to increase from 2020s to the end of the 21st century under different greenhouse gas emission scenarios, suggesting more fatal heatwaves in eastern Asia and floods in western Asia in the future. Key Points: The catastrophic climate pattern of "hot eastern‐pluvial western" Asia occurred frequently in recent decades especially in summer 2022The increasing trend of this pattern could be attributed to the westward extension and enhancement of the western Pacific subtropical highProjections of CMIP6 models show that the "hot eastern‐pluvial western" will occur normally in future [ABSTRACT FROM AUTHOR]

The Shuangjianzishan silver polymetallic deposit is located in the copper–tin–lead–zinc–silver polymetallic metallogenic belt in the Southern Great Xing'an Range, with silver resources of more than 18,000 t, which is the largest silver polymetallic deposit in Asia. Early studies concluded that the Shuangjianzishan deposit is typically an epithermal Ag-Pb-Zn deposit that lacks a high-temperature mineralization stage. In recent years, with the deepening of research, a large amount of Cu-Sn mineralization has been found in the deep part of the Shuangjianzishan deposit, but it is less studied. The laser-ablation inductively coupled mass spectroscopy (LA-ICP-MS) technique is used to investigate the distribution and substitution of trace elements in chalcopyrite and cassiterite. In this paper, the trace element study of chalcopyrite and cassiterite from the Shuangjianzishan deposit reveals that Sn, In, As, Se, Sb, and Tl mainly exist in chalcopyrite in isomorphic form, while Pb, Bi, and Ni mainly exist in chalcopyrite in the form of mineral inclusions. The enrichment of the high-temperature elements Sn and Se in chalcopyrite, and the deficit of the middle- and low-temperature elements Ga, Sb, etc., reflect that the chalcopyrite in the Shuangjianzishan deposit was formed in a middle- and high-temperature environment, and it also indicates that the early ore-forming hydrothermal solution may be rich in Sn. Fe, In, Co, and Ni mainly exist in cassiterite in isomorphic form, and the content of W in cassiterite is high. There are two main forms, one is isomorphic and the other is wolframite inclusion. Cassiterite has Fe-rich and W-U-poor characteristics, indicating that cassiterite from the Shuangjianzishan deposit was formed under relatively oxidized conditions, and the relative enrichment of elements such as Fe, W, Zr, and Hf indicates that the temperature of cassiterite formation was high. The elemental content and inter-ionic coupling relationships suggest that the cassiterite from the Shuangjianzishan deposit may have an elemental replacement mechanism of W6+ + Fe2+ ↔ 2Sn4+ or Fe3+ + OH− ↔ Sn4+ + O2−. The trace elements in cassiterite of the Shuangjianzishan deposit are rich in Fe and Mn and depleted in Nb and Ta, according to the Fe-W diagram, and the tin mineralization of the Shuangjianzishan deposit belongs to cassiterite–sulfide-type tin mineralization. Chalcopyrite Co/Ni ratios >1 are consistent with the characteristics of chalcopyrite genesis in hydrothermal deposits. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to examine potential diversification benefits between Eurozone (i.e. EURO STOXX 50) and key Asia markets: HSI (Hong Kong), KOSPI (South Korea), NIKKEI 225 (Japan) and TSEC (Taiwan). The sample covers the period from 04-01-2008 to 19-10-2023 in daily frequency. Design/methodology/approach: The empirical investigation is based on the wavelet coherence analysis, which is a localized correlation coefficient in the time and frequency domain. Findings: The results provide evidence that long-term diversification benefits exist between EURO STOXX and NIKKEI, EURO STOXX and KOSPI (after 2015) and there are signs for the pair and EURO STOXX-TSEC (after 2014). During the short term, there are signs of diversification benefits during the sample period. However, during the medium term, the diversification benefits seem to diminish. Originality/value: These results have crucial implications for investors regarding the benefits of international portfolio diversification. [ABSTRACT FROM AUTHOR]

The normative institutional practices of White, native English speakers have been explored in detail by CRT scholars in US academia, and these practices perpetuate a system which maintains White privilege to the detriment and systemic exclusion of the Other. Consequently, students of colour and non-native English speakers are inclined to face a number of forms of inequality, inequity, discrimination and harassment based on Whiteness and nativism including English speaker centrism, and this eventually serves to reproduce Whiteness and White racial domination. To better understand this institutional practices based on Whiteness in US academia, this paper explores how structural inequity based on linguistic racism and White privilege is reproduced by patterns in everyday institutional practice in US academia, and how intersectional structural inequity influences non-White, non-native speakers of American English such as international students from Asia by interviewing an Asian international ELL Ph.D. student, and exploring his counterstory in detail. [ABSTRACT FROM AUTHOR]

Folk music is a special cultural value for different countries and civilizations. However, the interest in folk music wanes against the background of globalization, both in Europe and in Asia. This paper examines the possibility of using Chinese folk music to improve the mental health and academic motivation of college students without involving a qualified music therapist. The study involved 200 volunteers from [Xi'an Shiyou] University who were randomly assigned to either the control or experimental group. The researchers developed a 30-week program titled National Music in the Service of Mental Health. It provides for regular group listening to folk music with the option of motor improvisation regulated by the recipient. The authors tested the effectiveness of the program by comparing the results of pre-testing and post-testing through the Wilcoxon rank sum test for related samples. They found that external motivation dominated internal motivation in first-year students from [Xi'an Shiyou] University. In addition, most of the difficulties concerned such areas as peer relationship problems and emotional symptoms related to the mental health of the respondents. The researchers found that the developed program proved effective in increasing aspects of internal motivation related to new life experiences (p = 0.00). The program also reduced the severity of negative emotional symptoms related to mental health (p = 0.00). The main scientific value of this paper is its aim to actualize the scientific discussion about the potential and limitations of Chinese folk music therapy without involving a qualified expert. [ABSTRACT FROM AUTHOR]

Welfare is a fundamental aspect of animal management and conservation. In light of growing public awareness and welfare concerns about captive elephants, there is an urgent need for comprehensive, globally coordinated efforts for Asian elephants (Elephas maximus) that participate in religious, logging, or tourist activities in range countries where the majority reside, and where welfare issues have been identified but not addressed. This review provides a comparative analysis of available animal assessment tools. Each offers distinct features for assessment that allow institutions to select criteria for specific needs and available resources. Most are applied to general animal welfare assessments, although some are tailored to particular species, including elephants. The tools span diverse formats, from digital to primarily paper-based assessments. Assessments operate at individual and institutional levels and across multiple welfare domains. Methodologies rely on keeper ratings or expert evaluations, incorporate numerical scoring and Likert scales for welfare grading, and encompass inputs including behaviors, health, and physiological indicators. For tourist camp elephants, one challenge is that the tools were developed in zoos, which may or may not have application to non-zoological settings. Digital tools and assessment methodologies such as keeper ratings face logistical challenges when applied across tourist venues. As with any tool, reliability, validity, and repeatability are essential and must address the unique welfare challenges of diverse captive settings. We propose that a holistic, context-specific, evidence-based, and practical tool be developed to ensure high elephant welfare standards in non-zoological facilities throughout Asia. [ABSTRACT FROM AUTHOR]

This study seeks to plan and evaluate the cost of the logistics in manufacturing tetra duplex board using prime grade and recycled materials. The real-world data for this study is obtained from one of the largest paper and board industries in Asia. The bi-objective problem is formulated by developing a mixed integer linear programming (MILP) model considering the constraints related to raw material supplies, processing, and storage. The metaheuristic optimization techniques are applied based on the concept of epsilon dominance to balance the conflicting objectives to counter the complex problem in the real world of transportation for the ease of the decision-makers to make the best-informed decisions in the selection of raw material. The investigation results indicate that the cost of prime-grade material in the tetra duplex board supply chain is 71 percent higher than recycled fiber. Furthermore, this study can be extended by evaluating the environmental aspects of prime and recycled-grade transportation. Moreover, the logistics of the prime grade can further be narrowed down by investigating it in various modes of transportation such as highways, waterways, rail, and air. [ABSTRACT FROM AUTHOR]

The height of the F2 peak electron density (hmF2) is an essential parameter in studying ionospheric electrodynamics and high-frequency wireless communication. Based on ionosphere ray propagation theory, the physical relationship between M3000F2 and hmF2 is derived and visualized. Furthermore, based on the above physical theory and the machine learning method, this paper proposes a new model for determining hmF2 using propagation factor at a distance of 3000 km from the ionospheric F2 layer, time, and season. This proposed model is easy to understand and has the characteristics of clear principles, simple structure, and easy application. Furthermore, we used six stations in east Asia to verify this model and compare it with the other three models of the International Reference Ionosphere (IRI) model. The results show that the proposed model (PRO) has minor error and higher accuracy. Specifically the RMSE of the BSE, AMTB, SHU, and the PRO models were 20.35 km, 31.51 km, 13.59 km, and 5.68 km, respectively, and the RRMSE of the BSE, AMTB, SHU, and PRO models were 8.17%, 11.88%, 4.96%, and 2.12%, respectively. In addition, the experimental results show that the PRO model can better predict the trend of the hmF2 inflection point. This method can be further extended to add data sources and provide new ideas for studying the hmF2 over global regions. [ABSTRACT FROM AUTHOR]

This paper answers calls from the food regime scholarship for a closer analysis of the implicit rules, transitions, and regional scales of food regimes. Drawing on archival materials from the Japanese colonial administration and Sino-American agricultural cooperation, interviews with key actors, and secondary sources, this paper examines instances of agricultural knowledge production and exchange. We suggest that beyond the profound influence of the US in the postwar food regime, the nuances and historical and regional specificity of agricultural scientists' life stories and individual technological imaginaries can 'scale up' through the translation of agrarian knowledge. [ABSTRACT FROM AUTHOR]

Introduction and purpose. Hendra and Nipah are two highly dangerous zoonotic viruses belonging to the group of henipaviruses. Although they have been known for over 20 years, no human drug or vaccine has been invented. This paper aims to to describe the epidemiology of the reported paramyxoviruses, the pandemic potential of henipaviruses, and a standardised action plan to counter their spread. This paper reviews scientific articles from 2012-2023 published in scientific databases such as Pubmed, Researchgate, and Google Scholar. The keywords used were pandemic potential of henipaviruses, Hendra virus, Nipah virus, and henipavirus epidemics. State of knowledge description. The mortality rate of henipaviruses varies between 50 and 100%. The Nipah virus is particularly dangerous, with epidemics recurring virtually every year in Asia since 1998. The Hendra virus situation may be manageable because there is an effective vaccine for horses most vulnerable to infection. Due to human activity, the habitats and climate of the animals serving as virus reservoirs are changing. Because of frequent henipavirus outbreaks in Asia and Australia, extensive efforts are being made to contain and neutralise them rapidly. Conclusions. As henipaviruses pose a high pandemic threat, more research into drugs and vaccines is required. It is also essential to develop effective bio-assurance plans, introduce controls on their operation and educate the population on the issue. Reservoir animals, through anthropogenic environmental changes, are changing habitats and feeding sites, making more and more territories vulnerable to the disease. New species of henipaviruses constantly emerge and pose an epizootic challenge to public health. Hence, an essential action is to increase the amount of research into the virus's epidemic development and conduct it as widely as possible. [ABSTRACT FROM AUTHOR]

The COVID‐19 pandemic catapulted Telehealth to the forefront of Emergency Medicine (EM) as an alternative way of assessing and managing patients. This challenged the traditional idea that EM can only be practised within brick‐and‐mortar EDs. Many Emergency Physicians may find the idea of practising Telehealth in Emergency Medicine (TEM) confronting, particularly in the absence of training and clear practice guidelines. The purpose of the present paper is to describe the current use of TEM in Australasia, and outline the advantages and barriers in adopting this practice domain. [ABSTRACT FROM AUTHOR]

Community Eye Clinics (CEC) increase accessibility of specialist ophthalmic services in the community, reducing demand for tertiary eye services. This paper aims to evaluate the impact of CEC on first-visit referrals from Hougang Polyclinic (HOU) to Tan Tock Seng Hospital Ophthalmology Specialist Outpatient Clinic (SOC). A retrospective analysis was performed on first-visit referrals from Hougang Polyclinic (HOU) to Tan Tock Seng Hospital Ophthalmology Specialist Outpatient Clinic (SOC) over a similar 3-months period before and after the introduction of CEC in August 2018 (1 January to 31 March in 2018 and 2019, respectively). Data pertaining to patients' presenting complaints, referral reasons, final diagnoses, follow-up plans, and need for ophthalmic intervention were obtained. We included 978 patients in our study. There was a 27.5% reduction in the number of first-visit referrals seen at SOC after the establishment of CEC. Patients were more likely to be referred on to sub-specialty eye clinics (10.8% vs. 12.9%, p= p =.304) and receive more ophthalmic interventions (15% vs. 16.3%, p =.066) than prior to CEC. The CEC provides greater accessibility to eye care within the community. Optometrists are upskilled to manage patients with stable eye conditions, whilst eye specialists can provide timely care to the SOC for patients with more severe eye conditions. [ABSTRACT FROM AUTHOR]

This paper examines the national saving behaviour in the process of economic growth through a comparative analysis of countries in developing Asia from a historical perspective. Developing Asia provides an ideal laboratory for the study with considerable differences in the saving behaviour among countries and over time within individual countries, notwithstanding the 'model saver' image of the region that is based mainly on the experience of high-performing East Asian economies. The empirical analysis distinguishes between private and government saving rates, with specific emphasis on the former. The results of the empirical analysis are consistent with the view of a 'virtuous circle' between growth and saving, with growth initiating the saving transition. No evidence to suggest that a prior phase of promoting saving through specific policy initiatives is needed to initiate the process of growth and structural transformation. The private saving rate is also associated positively with export orientation of the economy, and net foreign capital inflows and negatively with the young dependency ratio of the population and domestic credit availability. [ABSTRACT FROM AUTHOR]

In this paper, we consider a fractionally integrated multi-level dynamic factor model (FI-ML-DFM) to represent commonalities in the hourly evolution of realized volatilities of several international exchange rates. The FI-ML-DFM assumes common global factors active during the 24 h of the day, accompanied by intermittent factors, which are active at mutually exclusive times. We propose determining the number of global factors using a distance among the intermittent loadings. We show that although the bulk of common dynamics of exchange rates realized volatilities can be attributed to global factors, there are non-negligible effects of intermittent factors. The effect of the COVID-19 on the realized volatility comovements is stronger on the first global-in-time factor, which shows a permanent increase in the level. The effects on the second global factor and on the intermittent factors active when the EU, UK and US markets are operating are transitory lasting for approximately a year after the pandemic starts. Finally, there seems to be no effect of the pandemic neither on the third global factor nor on the intermittent factor active when the markets in Asia are operating. [ABSTRACT FROM AUTHOR]

With the rapid developm the application of digital ent of the new generation of information and communication technologies (ICT), the state-level governance model has undergone profound changes. It is worth pondering whether this change will have an impact on the carbon peak and carbon neutrality goals. Therefore, we collected data from 51 global economies that have proposed carbon neutrality targets from 2003 to 2020 to build a series of spatial measurement models and explored the impact of e-government construction on carbon emission intensity (CEI). Then, we further considered regional heterogeneity factors, grouped the selected countries into Asian, European, and American countries, and verified the differences between e-government construction and CEI in different regions. Additionally, on the basis of the spatial mediation effect model, this paper analyzed the industrial structure which played an intermediary role in achieving target for reducing CEI through e-government construction. The main findings are as follows. (1) A higher level of e-government construction will result in lower-carbon emissions intensity. (2) Spatial spillover effect regression results showed that the construction of e-government in neighboring countries also significantly inhibits the carbon emission intensity of the host country. (3) There was significant regional heterogeneity in the impact of e-governments on CEI; in Asia, the construction of e-governments significantly reduced CEI, but no significant reductions were observed in Europe and America. (4) E-governments influenced CEI by optimizing the industrial structure. The construction of e-governments was effective in Asia and Europe, while intermediary effect test was failed to pass in the Americas. This study mainly focused on the environmental benefits brought by the construction of e-governments, and the obtained results would provide an important reference for the achievement of the dual-carbon goals in countries worldwide. [ABSTRACT FROM AUTHOR]

This paper studies 10 Asian economies' experiences during two episodes of financial crises in 1997–08 and 2007–09. Our analysis of five crisis‐hit Asian countries shows that overinvestment via credit expansion and foreign financing has an adverse effect on banking sectors while income inequality contributes significantly to financial distress. With five no‐crisis emerging markets included in our Asia analysis, we find that export‐oriented growth backed up by domestic savings is financially less risky than investment‐led growth facilitated by capital inflows. Since such different strategies of output growth to deal with falling demand are related ultimately to the same factor–rising inequality, this distributional problem must be overcome effectively to enhance financial stability and ensure growth sustainability. [ABSTRACT FROM AUTHOR]

The main aim of this paper is to explore economic inequality in 'the Belt and Road' region where the investigation of the economic status is important but remains underdeveloped. The application of night‐time satellite imagery in 2015 can effectively make up for the shortcomings of insufficient data at various scales, especially for developing countries. We explored inequality at a multi‐scale level using the Theil decomposition method. As a result, (1) night‐time light data can present economic development and assess inequality in 'the Belt and Road' region. (2) The between‐sub‐region inequality contributed most to disparity, while the between‐country inequality was the least. Night‐time light data in West Asia and Central and Eastern Europe was higher than that in other sub‐regions. Countries within Central, Southeast and West Asia exhibited high inequalities, indicating an obvious sub‐regional pattern. (3) Both positive and negative impacts of economic growth on inequality are observed, indicating that 'the Belt and Road' countries are in different stages of economic development. Nightlight satellite imagery can effectively monitor social‐economic development and will play an important role in the implementation of 'the Belt and Road' initiative and achieving the sustainable development goals. [ABSTRACT FROM AUTHOR]

Environmental conditions significantly affected development in the Asian tropics. This paper investigates the relationship between weather risk and agriculture in four regions with distinct climatological features. Using new data, we estimate the scale of crop output sensitivity to rainfall shocks across ecological zones. Output was sensitive to shocks in regions with low levels, concentrated spells and high volatility of rainfall. Canal irrigation protected some districts while unirrigated regions remained vulnerable. Regions with high rainfall levels and long seasons remained protected. Regions with large interruptions deterred investment and were underdeveloped while regions with small interruptions invited investment‐led growth. [ABSTRACT FROM AUTHOR]

This study conducts a bibliometric analysis of 735 research papers on geomorphological mapping published in English between 2000 and 2021 using the Web of Science database. The analysis focuses on key metrics such as annual publication rates, journal distribution, common keywords, and frequently cited papers. The results demonstrate sustained investment in geomorphological mapping research over the past two decades, driven by advancements in data analysis, GIS technologies, and cross-institutional and cross-country collaboration. While European universities and research centers lead the field, researchers from Latin America and Asia are also making noteworthy contributions. However, research concentration remains largely in Europe, particularly at low altitudes. The study highlights the vital importance of investment in geomorphological mapping research and the benefits of collaboration to advance understanding and knowledge production. It also emphasizes the need for greater geographic and cultural diversity among researchers to ensure a more comprehensive and inclusive approach to research in this field. [ABSTRACT FROM AUTHOR]

This paper describes the growth of local-currency bond markets in Emerging Asia and the institutional and policy challenges facing the region's economies for their further development. It presents an empirical analysis of the relationship between local-currency government bond (LCGB) market development and the components of financial development, using panel data for selected Emerging Asian economies. The analysis seeks to identify the key determinants for the development of LCGB markets. The results show that the depth of and access to both financial markets and financial institutions have a significantly positive impact on LCGB market development. Critical factors associated with local-currency bond market depth include macroeconomic variables, the exchange-rate regime, capital account openness and creditor rights. Based on these results, the paper offers policy directions for fostering the development of local-currency bond markets in the region. [ABSTRACT FROM AUTHOR]

Danmaku, a real-time comment function covering the top of the video, appears from the right of the video like a bullet and slides out horizontally from the left, which is gaining popularity in Asia. In recent years, the research on the analysis of massive danmaku data has mushroomed. The danmaku data contains a host of valuable information, such as the emotional expressions, attitudes, and opinions of the people watching the video, which helps people quickly get the content and effect of the video. The information is more representative and comprehensive with the ever-increasing amount of danmaku data over time. However, extracting valuable danmaku from huge amounts of data is a challenging task. Therefore, in this paper, we introduce VisDmk, an interactive visual analysis system, to help to analyze video content and effect. VisDmk incorporates five views: the projection view to exhibit emotion distribution, the detail view to analyze specific danmaku information, the individual view to illustrate the difference between viewers, the theme-aware view to identify themes in different periods, and the video view to ascertain some inference within a video. Case studies and user observation were conducted to evaluate this system. [ABSTRACT FROM AUTHOR]

The papers in this Special Issue focus on real and financial integration in Asia. The papers were presented at a workshop organized by the FernUniversität Hagen. We discuss core results and discuss potential policy implications related to monetary policy in China and the integration of Asia in the world economy. [ABSTRACT FROM AUTHOR]

This paper reviews the determinants of formal microsaving (FMS), while also X-raying literature-documented conceptual sub-elements/sub-constructs of formal microsaving development (FMSD). This is with the intention to sensitize stakeholders as to what works for FMS and what doesn't. The paper also offers an overview of the state of research in this academic sub-domain, with suggestions/guides for related future research agenda. Analysis of 301 articles was undertaken using PRISMA. The paper's analysis affirms that the identified determinants were varied, using only a limited set of empirical methodologies. The geographical focus of most of the relevant studies were on Asia/Africa, with other regions largely ignored. The paper presents a novel review of the determinants of FMS. Also, the identified deconstructed sub-elements of FMSD could further sensitize researchers of its hitherto unknown multidimensional nature. Consequently, this could enhance the expansion of relevant empirical/theoretical knowledge with the additional possibility of initiating/influencing relevant global policy regeneration towards microsaving development. [ABSTRACT FROM AUTHOR]

An alternative energy source such as solar is one of the most important renewable resources. A reliable solar radiation prediction is essential for various applications in agriculture, industry, transport, and the environment because they reduce greenhouse gases and are environmentally friendly. Solar radiation data series have embedded fluctuations and noise signals due to complexity, stochasticity, non-stationarity, and nonlinearity with uncertain and time-varying nature. Aside from being highly nonlinear, solar radiation is highly influenced by the environment and environmental parameters such as air temperature, cloud cover, surface reflectivity, and aerosols. In addition, the spatial measurements of these variables are not readily available. To tackle these challenges, it is necessary to consider data preprocessing techniques and to develop and test precise solar radiation predicting models at different forecast horizons. There is, however, controversy regarding the performance of such models in various studies. Comparisons are not conducted systematically among the different studies. Using a critical literature review, the authors hope to answer these questions and believe that further investigation of solar radiation can benefit researchers and practitioners alike. This study presents a comprehensive evaluation of solar radiation modeling using artificial intelligence in the last 15 years and provides a novel detailed analysis of the available models. The studies conducted in different climates of the world that were published in distinguished journals were considered (i.e., 90 papers in total) for this purpose. Newly discovered procedures for optimizing forecasts, data cleaning, feature selection, classification methods, and stand-alone or hybrid data-driven models for solar radiation prediction and modeling were evaluated. The results strikingly showed that the most used artificial intelligence methods were artificial neural network, adaptive neuro-fuzzy inference system, and decision tree family of models. In addition, the extreme learning machine, support vector machine, and particle swarm optimization were the most used optimization techniques in solar radiation modeling. In terms of forecast horizons, the most common forecast horizon found in papers was on the daily scale (51% of studies), followed by the hourly scale (26%), and the least common was the monthly scale (18%). Based on the regional studies, the highest number of solar radiation papers originated from Asia, with Europe in second place and African countries in third place. An increasing trend in the number of papers from 2011 to 2015 was noted, and the second peak started from 2018 till the present. Under each section, a summary of findings is provided. The paper concludes with future thoughts and directions on solar radiation modeling. [ABSTRACT FROM AUTHOR]

This paper examines the role of local currency bond markets (LCBMs) and foreign investor participation in these markets in capital flow volatility in emerging Asian economies over the period 1999 to 2020. Using a panel analysis and impulse response functions generated from a panel structural vector autoregression, we show that greater development of LCBMs across 10 Asian emerging economies in terms of capitalization helps to mitigate against the capital flow volatility, while foreign investor participation has the opposite effect, particularly for less developed LCBMs. Our findings have policy implications from a financial stability perspective, whereby continued efforts to enhance LCBMs while reducing reliance on foreign investors should be encouraged. Strengthening the local investor base and mobilizing domestic resources through LCBMs ought to be a priority for raising long-term capital that will enable the financing of sustainable investment and development. Our findings also suggest that greater efforts are needed to enhance foreign exchange hedging arrangements for foreign investors in LCBMs, particularly in times of heightened financial stress. [ABSTRACT FROM AUTHOR]

The share of solar energy in the energy mix has become a major concern, and the global effort is to increase its contribution. Photovoltaic technology is an environment-friendly way of electricity production compared to fossil fuels. Currently, third generation of solar cells with a maximum average conversion efficiency of 20% has been achieved. Asia is an emerging market for photovoltaic technology, and it has recorded the highest installation capacity for 2018 (280 MW), 2030 (1860 MW), and 2050 (4837 MW). Meanwhile, Asia is estimated to be the highest producer of PV waste by 2040, with 5,580,000 metric tons of waste volume. Solid waste management is already a big environmental issue in South Asian countries, and untested landfilling of solar cells can further increase the burden. This review emphasizes the end-of-life scenario of solar cells in developing South Asian countries. Solar cell waste is hazardous e-waste that can lead to environmental and health impacts if not managed properly. It consists of metals with market value, which can be waste or gold, depending on its management. The study finds that recycling is the economically and environmentally effective waste management option for solar cells in South Asia. This paper reviews the deficiencies in the existing solar cell waste management framework in South Asian countries. Moreover, practical implications are presented for designing an effective waste management plan for solar cells in South Asian countries. Strong legislation, sufficient recycling infrastructure, and high stakeholders' interests are required to resolve this environmental concern. [ABSTRACT FROM AUTHOR]

Purpose: Given the extensive evidence of femvertising's positive effects in Western cultures, this paper aims to investigate how femvertising may influence customers' perceptions and brand-related outcomes in a patriarchal context such as Pakistan. Design/methodology/approach: Qualitative methodology was employed in this study, which was based on in-depth interviews involving 17 consumers (including both male and females). Thematic analysis was used to analyse the data. Findings: Results indicated that male and female consumers revealed varied and sometimes contradictory perspectives on the perception, understanding and behaviour towards femvertised adverts, which are governed by patriarchal gendered norms. Originality/value: This study contributes to the body of knowledge by exploring the consumer perception towards femvertising in a patriarchal context, where gender disparity is evident. It also draws attention to the underlying cultural elements contributing towards the formation of those perceptions. [ABSTRACT FROM AUTHOR]

The utilisation of box girders with corrugated steel webs (CSWs) represents an innovative approach to bridge superstructure design that has garnered substantial popularity worldwide, with a notable prevalence in both Asia and Europe. Compared with traditional box girders, they avoid web cracking, improving the prestressing efficiency and bridge spanning ability. As an innovative box girder, a corrugated web can increase the cantilever length and transverse stiffness, and at the same time, it reduces the dead weight of the bridge deck. However, little research has been conducted on the mechanical properties of this novel spine-like box girder with CSWs, especially its transverse performance, although it has been used in many applications. In this paper, the effect of the web form on the behaviour of box girders is introduced. Therefore, three representative three-dimensional (3D) finite-element models (i.e., corrugated web box girder, flat web box girder, and ordinary equivalent concrete web box girder) have been established to quantitatively investigate the influence of corrugated web stiffness on transverse stress under the action of gravity and vehicle loads. Generally, significant differences in the mechanical performance of box girders with CSWs have been observed compared with conventional box girders with concrete webs. Additionally, parametric studies to investigate the influences of the corrugation dimensions (in term of the corrugation height, web thickness, panel width, web height and elastic modulus) on the transverse stiffness of such bridges are analyzed. The results show that a new stiffness formula can be put forward to consider the effect of web height, and a high-strength steel web needs to be developed urgently for box girders with CSWs in the near future. Overall, the results of this investigation can be used as a reference for transverse designing and segmental construction of similar projects. [ABSTRACT FROM AUTHOR]

Professor Gavin W. Jones dedicated an impressive 58-year career to extensive research on various aspects of population and development in Asia. As a seasoned consultant, he was pivotal in shaping population policies and programs in more than 10 Asian countries, impacting the region’s demographic landscape. Throughout his illustrious career, Gavin has left an indelible mark through his prolific publications, with 30 books, over 180 journal articles, and book chapters. His body of work covered various demographic subjects in the Asia-Pacific region, significantly contributing to our understanding of population dynamics in Southeast, South, and East Asia. His research has been instrumental in informing policy decisions in these regions by providing evidence-based recommendations. In addition to his consultancy and academic achievements, Gavin actively engaged in professional networks, fostering collaborations and facilitating knowledge exchange among fellow demographers and researchers. His commitment to mentorship has been invaluable, nurturing emerging demographers and supporting the next generation of population scholars in population and development. The present paper aims to delve into Professor Gavin W. Jones’s specific contributions to elucidate the intricate relationship between population and development, an area that inevitably intersects with other papers in this festschrift on marriage, fertility, and urbanization. [ABSTRACT FROM AUTHOR]

Understanding the competition and coexistence of flagship carnivores is key to creating strategies for their conservation in the face of global carnivore declines. Although studies exploring the dynamics and competition between tigers (Panthera tigris) and leopards (P. pardus) span decades, there is a lack of understanding regarding the factors that influence their coexistence mechanisms on a broad scale, as well as the drivers determining their exploitative and interference competition. We gathered a comprehensive list of research papers among which 36 papers explored the interspecific interactions between tigers and leopards and tested the influence of biotic and abiotic factors on the coexistence mechanisms along three dimensions using multiple response variables regression models; we also tested the influence of ecological drivers determining the exploitative or interference competition between tigers and leopards. Elevation and ungulate density were the most important predictors in regulating the coexistence mechanisms. Tigers and leopards exhibited more positive relations/higher overlaps as elevation increased in the spatial niche. In addition, they showed a higher dietary overlap in the prey‐rich regions. We determined that interference competition between tigers and leopards was less frequently observed in habitats with dense tree cover and homogeneous vegetation structures. Meanwhile, studies with multiple metrics would promote the detection of interference competition. Our study provides new insight into the competitive interactions and coexistence mechanisms of tigers and leopards on a broad scale. Policy‐makers and managers should pay more attention to the factors of elevation, prey abundance, and habitat structures for the conservation of tigers and leopards. [ABSTRACT FROM AUTHOR]

Over the past half a century many countries have witnessed a rapid fall in total fertility rates, particularly in the world's most advanced economies including the industrial powerhouses of Eastern Asia and Europe. Such nations have now passed through the first and second demographic transitions and are currently exhibiting fertility rates well below the replacement threshold of 2.1, with no sign of recovery. This paper examines the factors responsible for driving these demographic transitions and considers their impact on both fertility and fecundity (our fundamental capacity to reproduce). I argue that because the first demographic transition was extremely rapid and largely driven by socioeconomic factors, it has had no lasting impact on the genetic/epigenetic underpinnings of human fecundity. However, the second demographic transition will be different. A series of conditions associated with low fertility societies, including relaxed selection pressure for high-fertility genotypes, the indiscriminate use of assisted reproductive technologies to treat human infertility, and environmental contamination with reproductive toxicants, may impact our genetic constitution in ways that compromise the future fecundity of our species. Since any fundamental change in the genetic foundations of human reproduction will be difficult to reverse, we should actively pursue methods to monitor human fecundity, as sub-replacement fertility levels become established across the globe. [ABSTRACT FROM AUTHOR]

Based on the quasi-experimental method of Difference in Difference with Propensity Score Matching (PSM-DID), this paper analyzed the relationship between overseas investment, host country characteristics, and corporate social responsibility (CSR) with the sample of Chinese A-share listed companies. We find that: (1) overseas investment strategies can improve the CSR performance. (2) the effect of corporate overseas investment on CSR is more pronounced for the host country located in Asia, or with more complete legal and economic systems and closer cultural backgrounds. (3) overseas investment can reduce the negative impact of the disadvantages of outsiders on the enterprise value by better fulfilling their employees and social responsibilities, thus helping enterprises to enhance the market value. The findings suggest that overseas investment enterprises implement differentiated CSR strategies to unleash development vitality and create market value. [ABSTRACT FROM AUTHOR]