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This paper aims to expound the composition and characteristics of “SMR Data”, to elaborate the role of the “SMR Data” in the comprehensive study of Anti-Japanese War from three aspects.

There are several methodologies included in this thesis, such as literature inquiry, questionnaire survey, field investigation and expert consultation.

The SMR Data is a historical portrayal of the 40 years of SMR. Its content is integrative, comprehensive and systematic. It covers a large area and a wide range of topics and can reflect the whole process of Japanese militarism’s invasion of China from different aspects.

The study of historical subject is not for the historical fact itself, exploring yesterday is looking for lessons for today. Because the imperialism phenomenon still exists and has not completely withdrew from the historical stage, people step into the typical imperialist colonial aggression, mighty and quite rich mysterious “SMR kingdom” historic sites, to explore the profound truth, unravel mysteries and find out the warning. Taking history as a mirror, all peace-loving people in the world call for a new international order and realize the harmonious coexistence of mankind.

This paper aims to make a comprehensive evaluation of the progress and achievements made by China and Japan in literature collection, publication and academic research of South Manchuria Railways Co (SMR) after the Second World War and points out the existing and urgent problems.

This paper adopts the methods of literature research, questionnaire survey, comparative analysis and expert consultation.

After the Second World War, both China and Japan made great achievements in the collection, publication and research of SMR data, as well as in the academic research of SMR. However, as a new research field, there are still some problems in deepening the excavation and utilization of SMR data, expanding the research fields, improving the research methods, etc.

SMR itself was the product of a war of aggression. Although it died with the defeat of the war of aggression, remaining SMR data also has very precious value, it records the history of Japanese aggression against China, is the biggest database for the study of the problems in China and northeast Aisa at that time. In addition to Japan and China, the USA and the Soviet Union also kept part of the SMR data, so that to involve them in the research of SMR is also the purpose of this paper.

This paper aims to address challenges in strategic management and tries to find ways to make a breakthrough. Strategic management theorists and practitioners need new scientific theories. In the modern turbulent environment, the extant strategic management research (SMR) and strategic management theories can neither satisfy the practical needs nor the theoretical developmental needs of strategic management.

The paper uses critique viewpoints that are unfolded according to the logic of how theories will satisfy the practical and theoretical needs. Physics and mathematics are regarded as the most beautiful and perfect scientific research fields, which help predict physical phenomena such as solar eclipse precisely. Therefore, the paper uses physics and mathematics as benchmarks to explore how SMR should make efforts to push the research further.

The paper provides a different viewpoint that will help strategic theorists and practitioners investigate and understand strategic phenomena more holistically. SMR should contribute to strategic theoretical and practical progress and not just to the game of academic game play. For the goal, the paper summarizes and refines the definition of strategic management in an alternative but practical and innovative perspective, and then delineates the criteria for SMR topic choice; identifies the dilemmas and challenges the SMR faces; and points out the new approaches the strategic management researchers should explore.

The paper challenges the mainstream of SMR by identifying the shortcomings, dilemmas, and challenges of the current SMR, and then highlights new ways to make breakthrough in SMR. The study will make strategic management scholars rethink their research and do meaningful research from the perspectives of theoretical contribution and practical guidance.

In traditional calibration methods of kinematics parameters of industrial robots, dozens of model parameters are identified together based on an optimization procedure. Due to different contributions of model parameter errors to the tool center point positioning error of industrial robots, obtaining good results for all model parameters is very difficult. Therefore, the purpose of this paper is to propose a sequential calibration method specifically for transmission ratio parameters, which includes reduction ratios and coupling ratios of industrial robot joints.

The ABB IRB 1410 industrial robot is considered as an example in this study. The transmission ratios for each joint of the robot are identified using the spatial circle fitting method based on spatial vectors, which fit the center and radius of joint rotation with the least squares optimization algorithm. In addition, a method based on the Rodrigues’ formula is designed and presented for identifying the actual coupling ratio of the robot. Subsequently, an experiment is carried out to verify the proposed sequential calibration method of transmission ratios.

In this experiment, the actual positions of the linkages before and after joint rotations are measured by a laser tracker. Accurate results of the reduction ratios and the coupling ratios are calculated, and the results are verified experimentally. The results show that by calibrating the reduction ratios and coupling ratios of the ABB robot, the rotation angle errors of the robot joints can be reduced.

The authors propose a sequential calibration method for transmission ratio parameters, including reduction ratios and coupling ratios of industrial robot joints. An experiment is carried out to verify this proposed sequential calibration method. This study may be beneficial for calibrating the kinematic parameters of industrial robots and improving their positioning accuracy.

The purpose of this paper is to provide a commentary on new information from the Office for National Statistics (ONS) on deaths caused by volatile substance abuse (VSA) in Great Britain which occurred between 2001 and 2016.

Comparing the new study with previous mortality data, the authors consider the strengths and some limitations of the analysis provided by ONS.

By utilising a broader range of codes and collating additional information from death certificates, the new report provides a more comprehensive measure of VSA mortality than was previously available, showing increasing prevalence of deaths. The age profile of people dying is older than in previous studies. Most deaths were associated with inhalation of gases and almost three-quarters of deaths involved volatile substances alone.

Understanding VSA mortality is essential for service planning. It is important that we identify why so many people whose deaths are associated with VSA are not accessing treatment, with particular concern about treatment access for those who only use volatiles. Training to support drug and alcohol and other health service staff to respond to VSA is essential. In future reports, data to identify socioeconomic correlations of VSA deaths would enable targeted responses. Additionally, information on whether deaths occur in long term rather than episodic or one-off users could enable risk reduction education.

This paper shows how data on VSA deaths may inform for policy and service planning.

The purpose of this paper is to present a review of the origins and development of national inventories in Scotland and Wales from paper-based records to digital databases. The impact of digital technologies on data management and dissemination is considered.

Exploring the evolution of historic environment inventories in Scotland and Wales highlights the common issues faced and solutions adopted. In considering the longue durée, the durability and flexibility of information is highlighted.

Inventories may combine locational, descriptive and visual material to help document a fragile, finite and non-renewable resource. They provide the evidence base for decision making and stewardship in managing change, stimulating interest in and valuing the historic environment. Contribution to recognised inventories should be a requirement for activities documenting the historic environment. Digital technologies shape the expectations of a modern inventory and associated digital archives, with emphasis placed on the repurposing of inventory contents so that they can better contribute to an information network serving multiple audiences.

Transformation from paper records to digital data has radically enhanced and democratised access to knowledge about the historic environment. Digital delivery helps place heritage data within mainstream societal activities and fosters public interest and engagement in the historic environment.

Inventories are the foundation building blocks of informed decision making. Digital technologies have transformed these resources to help place the historic environment within mainstream societal activities and interest.

In the wake of climate change and its associated impact on firms' performance, this paper attempts to provide a piece of empirical evidence in support of the effect of weather conditions on the stock market performance.

Monthly time-series dataset and the fully modified ordinary least square (FMOLS) semi-parametric econometric technique are used to establish the effect of weather variables on stock market return.

This study finds that temperature and wind speed have a negative and statistically significant relationship with stock market performance. Likewise, humidity exhibits a negative relationship with stock market performance, albeit insignificant. The relevant stock market and macroeconomic control variables are statistically significant in addition to exhibiting their expected signs. The findings lend support to advocates of behavioural factors inclusion in asset pricing and decision-making.

For policy purposes, the authors recommend that traders, investors and stock exchange managers must take into consideration different weather conditions as they influence investors' behaviour, investment decisions, and consequently, the stock market performance.

To the best of the authors’ knowledge, this study provides the first empirical evidence of the nexus between disaggregated weather measures and stock market performance in Ghana. This study uses monthly data (which are very rare in the literature, especially for developing country studies) to provide empirical evidence that weather influences stock market performance.

The authors argue that privacy is integral to the well-being of consumers and an essential component in not only corporate social responsibility (CSR) but what they term uniquely as social media responsibility (SMR). A conceptual framework is proposed that delineates the privacy issues companies should pay attention to in artificial intelligence (AI)-fueled social media environments.

The authors review literature on privacy issues in social media and AI in the academic and practitioner literatures. Based on the review, arguments focus on the need for an SMR framework, proposing responsible use of consumer data that is attentive to consumers' privacy concerns.

Implications from the framework are a path forward for social media companies to treat consumer data more fairly in this new environment. The framework has implications for companies to reduce potential harms to consumers and consider addressing their power and responsibility. With social media and AI transforming consumer behavior so profoundly, there are a variety of short- and long-term social implications.

Since AI tools are becoming integral to social media company activities, this research addresses the changing responsibilities social media companies have in securing consumers' data and enabling consumers the agency to protect their privacy effectively. The authors propose an SMR framework based on CSR research and AI tools employed by social media companies.

In this study, the application of a novel combined steel curved damper (SCD) and steel plate shear wall (SPSW) system in the 5-, 10- and 15-storey steel moment-resisting frames (SMR) subjected to earthquake excitation has been investigated. The proposed system is called here as the SMR-WD (steel moment resisting–wall damper).

At the beginning of this research, an SMR-W and an SMR-D are separately modeled in ABAQUS software and verified against the available experimental data. After that, three different heights SMR-WD systems (5-, 10- and 15-storey) are designed and simulated. Then, their performances are examined and compared to the corresponding SMR-W under the effects of six actual earthquake records.

The obtained results show that the proposed system increases the mean values of the base shear for 5-, 10- and 15-storey SMR-WD equal to 27, 20.15 and 16.51%, respectively compared to the corresponding SMR-W. Moreover, this system reduces the drift of the floors so that the reduction in the average values of maximum drift for 5-, 10- and 15-storey SMR-WD is equal to 10, 7 and 29%, respectively with respect to the corresponding SMR-W. The results also reveal that the considered system dissipates more energy than SMR-W so that the increase in the mean values of the energy absorption for 5-, 10- and 15-storey SMR-WD is 30.8, 25.6 and 41.3%, respectively when compared to the SMR-W. Furthermore, it is observed that SMR-WD has a positive effect on the seismic performance of the link beams and panel zones of the frames. By increasing the height of the structure in the SMR-WD, the energy dissipation and base shear force increases and the drift of floors decreases. Hereupon, the proposed SMR-WD system is more useful for tall buildings than SMR-W frames.

For the first time, the application of a novel combined steel curved damper (SCD) and steel plate shear wall (SPSW) system in the 5-, 10- and 15-storey steel moment-resisting frames (SMR) subjected to earthquake excitation has been investigated.

The increased popularity of social media has been prompting the recruitment managers to use social media recruitment. Very little has been studied on the effectiveness of social media recruitment from the recruiter's perspective. Influenced by the diffusion of innovation theory, the study measures the usefulness of social media recruitment through various prehire and posthire recruitment outcomes. The study also used the media richness theory to examine the role of credibility and satisfaction as a mediating variable.

Data has been collected from the recruiters in the public and private sector of India. Available literature is studied to develop survey instrument validated through experts from industry and academia. Pilot study was conducted to test for any construct weaknesses. Data is analyzed using AMOS.

The study result proved that social media recruitment is significantly related to both prehire outcomes and posthire outcomes. The result also proved the mediating effect of credibility and satisfaction and suggests recruitment practitioner to emphasize on disseminating credible, relevant and sufficient information through suitable communication mode.

HR professional to be careful about the information provided through a social media recruitment method. Practitioner to establish credibility of the information to create a sense of satisfaction by the applicants toward the information. Thus, as the information becomes more credible, the attraction to the organization also increases, which in turn results in more applicants applying for the job.

This is the first quantitative study to examine effectiveness of social media recruitment under the influence of mediator – credibility and satisfaction considering the data from the recruiters.