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The purpose of this paper is to investigate the explosive performance and explosion damage mechanism of T-beam bridge structure.

On the basis of the existing specification, two T-beam bridge models were designed and fabricated. Test specimens of different explosive dosage and different blast height were carried out. The mechanical process, failure mode, blast damage model, damage identification mechanism and blast evolution law and quantitative evaluation were taken into account.

The results revealed that the web plate fracture failure is the key to the unstable failure of the whole T-beam bridge. The explosion failure phenomenon and blast damage evaluation criterion of RC T-beam bridge was divided into five stages: the original cracks stage of concrete material (D = 0 ∼ 0.1), the fractures initiation stage of concrete material (D = 0.1 ∼ 0.3), the stable expansion stage of cracks in concrete material (D = 0.3 ∼ 0.55), the unstable expansion stage of cracks in concrete material (D = 0.55 ∼ 0.8), the explosion fracture of steel bars and the overall instability and damage of the bridge (D = 0.8 ∼ 1.0), which can also be described as basically intact, slight damage, moderate damage, severe damage and collapsed.

The research result will provide basis for the antiknock evaluation and damage repair technical specifications of the RC T-beam bridge.

The research results of damage evaluation serve as a basis for damage repair and reinforcement of bridge structures after explosion.

The NBA Draft policy pursues the goal to provide the weakest teams with the most talented young players to close the gap to the superior competition. But it hinges on appropriate talent evaluation skills of the respective organizations. Research suggests the policy might be valid but to date unable to produce its intended results due to the “human judgement-factor”. This paper investigates specific managerial selection-behavior-influencing information to examine why decision-makers seem to fail to constantly seize the opportunities the draft presents them with.

Athleticism data produced within the NBA Draft Combine setting is strongly considered in the player evaluations and consequently informs the draft decisions of NBA managers. Curiously, research has failed to find much predictive power within the players pre-draft combine results for their post-draft performance. This paper investigates this clear disconnect, by examining the pre- and post-draft data from 2000 to 2019 using principal component and regression analysis.

Evidence for an athletic-induced decision-quality-lowering bias within the NBA Draft process was found. The analysis proves that players with better NBA Draft Combine results tend to get drafted earlier. Controlling for position, age and pre-draft performance there seems to be no proper justification based on post-draft performance for this managerial behavior. This produces systematic errors within the structure of the NBA Draft process and leads to problematic outcomes for the entire league-policy.

The paper delivers first evidence for an athleticism-induced decision-making bias regarding the NBA Draft process. Informing future selection-behavior of managers this research could improve NBA Draft decision-making quality.

Competitions in high-performance sports are based on the premise of fairness and the absence of advantages for participants. Therefore, several metrics were created to divide participants into categories and neutralize the advantages of some athletes. The division by sex is justified in the face of differences in body development between men and women due to testosterone levels. Faced with the difficulties of determining a single unequivocal criterion for determining sex, major sports entities periodically change the rules that guide the inclusion criteria to compete in the female category. The purpose of this study is to assess whether changes in gender metric rules bring female sports performance closer to male performance, reducing the equality of conditions for female competitors.

This is a retrospective study that compared female and male results from the past 5 Olympic games in the 100-metre dash, high jump and javelin throw.

The performance in the men's category in the 100-metre dash was superior to the women's in the Olympic Games in Sydney by 8.78% (± 0.16), in Athens by 9.88% (± 0.21), in Beijing by 10.11% (± 0.29), in London by 9.25% (± 0.59) and in Rio de Janeiro by 8.6% (± 0.23). The male high jump was higher than the female by 17.24% (± 1.18) in Sydney, 16.61% (± 1.83) in Athens, 17.01% (± 1.79) in Beijing, 15.47% (± 1.96 higher) in London and 19.67% (± 1.09) in Rio de Janeiro. In the javelin throw, the male superiority was 34.87% (± 2.35) in Sydney, 29.88% (± 4.15) in Athens, 31.87% (± 4.15) in Beijing, 29.44% (± 3.24) in London and 32.31% (± 2.69) in Rio de Janeiro.

As limitations of the study, this study mentions the lack of hormonal dosage of the athletes involved, the non-evaluation of other modalities with different dynamics of execution and muscular requirements and the non-evaluation of the rules in sexual metrics during the qualifying stages for the games.

In this manuscript, the authors show that interference of the International Olympic Committee in the sex metric influences the athletic performance of women in some sports. Rules that facilitate participation of transgender athletes, or with sexual differentiation disorder and other forms of hyperandrogenism, improve female athletic performance overall.

The authors believe that this manuscript is appropriate for publication by International Journal of Human Rights in Healthcare because it is an original paper that fits the goals of the publication. This manuscript creates a paradigm for future policies that rule the sex determination metrics in competitive sports.

The purpose of this paper is to investigate the applicability of the LS-DYNA software using a Lagrangian formulation in the jet formation, flight and penetration of improvised explosively formed projectiles (EFPs). Numerical results dealing with different properties of the EFPs have been validated with a significant number of field tests.

2D and 3D Lagrangian models, using different material definition, are developed to reproduce the field-measured characteristics of copper- and steel-made EFPs: projectile size and velocity. After validation, the model has been extended to analyse the penetration features. Two different plasticity models have been used to describe the steel target, Plastic-Kinematic and Johnson–Cook.

Despite the difficulty in characterizing a non-industrial artefact, the results show that both Lagrangian models (2D and 3D) are able to simulate the projectile size, velocity and penetration capability with errors less than 10 per cent when using the Johnson–Cook material model for both liner and target.

These data can be used to test the penetration ability of improvised EFP’s against different targets, i.e. light armoured vehicles.

There are no references that address the application of the Lagrangian simulation of non-industrial EFPs and its validation with field tests, including penetration assessment.

Following the rapid expansion of data volume, velocity and variety, techniques and technologies, big data analytics have achieved substantial development and a surge of companies make investments in big data. Academics and practitioners have been considering the mechanism through which big data analytics capabilities can transform into their improved organizational performance. This paper aims to examine how big data analytics capabilities influence organizational performance through the mediating role of dual innovations.

Drawing on the resource-based view and recent literature on big data analytics, this paper aims to examine the direct effects of big data analytics capabilities (BDAC) on organizational performance, as well as the mediating role of dual innovations on the relationship between (BDAC) and organizational performance. The study extends existing research by making a distinction of BDACs' effect on their outcomes and proposing that BDACs help organizations to generate insights that can help strengthen their dual innovations, which in turn have a positive impact on organizational performance. To test our proposed research model, this study conducts empirical analysis based on questionnaire-base survey data collected from 309 respondents working in Chinese manufacturing firms.

The results support the proposed hypotheses regarding the direct and indirect effect that BDACs have on organizational performance. Specifically, this paper finds that dual innovations positively mediate BDACs' effect on organizational performance.

The conclusions on the relationship between big data analytics capabilities and organizational performance in previous research are controversial due to lack of theoretical foundation and empirical testing. This study resolves the issue by provides empirical analysis, which makes the research conclusions more scientific and credible. In addition, previous literature mainly focused on BDACs' direct impact on organizational performance without making a distinction of BDAC's three dimensions. This study contributes to the literature by thoroughly introducing the notions of BDAC's three core constituents and fully analyzing their relationships with organizational performance. What's more, empirical research on the mechanism of big data analytics' influence on organizational performance is still at a rudimentary stage. The authors address this critical gap by exploring the mediation of dual innovations in the relationship through survey-based research. The research conclusions of this paper provide new perspective for understanding the impact of big data analytics capabilities on organizational performance, and enrich the theoretical research connotation of big data analysis capabilities and dual innovation behavior.

Fast fulfilment is a key performance measure in online retail, and some retailers have achieved faster times by adopting new designs in their order fulfilment infrastructure. This research empirically confirms and quantifies the fulfilment time advantage that Amazon has achieved, relative to other online retailers. The purpose of this paper is to investigate three research questions: what is the overall mean fulfilment time difference between the new logistics designs of Amazon and the alternative designs of other retailers? For each order what is the distribution of the fulfilment time difference? What is the difference in fulfilment time by product category, price and size?

This research uses an empirical method to evaluate the fulfilment time performance of consumer orders made through the Amazon website and one or more competing online retailers. For 1,000 different products two fulfilment times, one at Amazon and another at a competing omnichannel retailer, are recorded. The analysis is then focused on the comparison between this paired data.

The research confirms that the new logistics methods, including physical facilities, distribution networks and intelligent order processing methods, have resulted in faster order fulfilment times. The performance, though, is not universally dominant and for 33 per cent of orders, the difference is 1 day or less. The fulfilment time difference varied by product, category, price or size.

The ongoing transformation of fulfilment and logistics operations at online retailers has generated several new research questions. This includes the need to confirm the fulfilment efficiency of the new designs and specify time targets. This paper identifies the fulfilment time gap between new and traditional operations. The results suggest that store-based or distribution centre-based fulfilment strategies may not match the new designs.

The study provides a quantitative analysis of the fulfilment time differentials in online retailing. The critical role of fulfilment logistics in the rapidly growing online retail industry can now be better modelled and studied. The survey method representing a single buyer allows for order pair equivalency and eliminates order bias. The results suggest that new warehousing and logistics designs can lead to significantly faster fulfilment times.

AT this time of the year it is customary to look back over past achievements. We are in no mood to do this. 1976 is no year to remember with any kind of nostalgia. In many industries it had a history of almost never‐ending strife. No sooner was one dispute ended than another began. So often, too, a small handful of men have rendered a whole workforce — or a proportion of it far larger than their own numbers would seem possible — out of action.

In this paper, the relationship of brand logo and purchase intention is investigated along with the mediating role of customer satisfaction, brand preference and brand attitude. The research is conducted on an online passenger transport company called Tapsi.

In this study, we examine the positive effect of brand logo on brand attitude, consumer satisfaction and strengthening the intention to buy and brand preference by customer satisfaction. The statistical population was randomly selected. We design a conceptual model and then prepare a standard online questionnaire and send it to the target groups. Among this, the participants, 59% are women and 41% are men. After collecting the data through the software Smart-PLS3, we start the analysis. According to Cronbach's alpha and AVE, the validity and reliability of the model are confirmed.

The study shows that the brand logo has a positive and direct influence on customer attitude and satisfaction, and customer satisfaction mediates the purchase intention and brand preference. Given that the brand logo describes the company, managers must be very sensitive to design of a proper logo and spend enough time and money on it.

Few studies have examined the effectiveness of the brand logo the present study and the results show that the brand logo and its structures are directly related to brand attitude as a result of consumer satisfaction in all services even transportation services. The first thing consumers see when they first use a company’s services is the company logo. The brand and its logo can change the attitude and decision of the customer. Past studies have also shown that the brand logo can have a direct impact on customer satisfaction and customer preference for the brand. Therefore a model was prepared and the mentioned variables were selected. Brand preference as a mediating variable has a positive role on buying intention. However all relationships and their predictive power have been confirmed.

The upsurge of globalization has made investors cautious toward investing decisions, and, resultantly, sophisticated techniques of forecasting and analyzing the stock markets have emerged. Particularly, this trend has gained momentum in emerging economies. One such trend is to overcome the investing risks associated with formation of rational bubbles. Bubbles are formed when asset prices inflate to a very high level temporarily, and they ultimately burst. Investors may take advantage of this short-lived phenomenon and gain high returns, but may also suffer as the entire investing value declines when the bubble bursts. The purpose of this paper is to identify rational bubbles in the emerging capital markets of South Asian region.

The monthly data have been obtained from June 1997 to February 2018 for Pakistan, Bombay, Dhaka and Colombo stock markets, and supremum-Augmented Dicky Fuller test developed by Phillips and Yu (2011) has been utilized to identify the rational bubbles.

The results revealed the presence of rational bubbles in South Asian equity markets. The current study is of significant nature for the facilitation of investors in future-making investing decisions concerning with the formation of rational bubbles.

Several studies have been conducted on stock markets of developed regions. Specific bubble episodes, which occurred previously, have helped the researchers and investors in gaining plenty of insights. A lot of studies have been conducted on the SAARC region as well. But they have used the conventional unit root test for bubble identification and not used as extensive data as, in this study, have been taken. This research is aimed to study equity prices of the four stock markets to establish the fact that if rational bubbles exist in the index, they are reflected in the returns or not.

This paper aims to determine the regression rate using wax fuels for three different grain configurations and find a suitable grain port design for hybrid rocket application.

The design methodology of this work includes different grain port designs and subsequent selection of solid fuels for a suitable hybrid rocket application. A square, a cylindrical and a five-point star grained were designed and prepared using paraffin and beeswax fuels. They were tested in a laboratory-scale rocket with gaseous oxygen to study the effectiveness of solid fuels on these grain structures. The regression rate by static fire testing of these wax fuels was analyzed.

Beeswax performance is better than that of paraffin wax fuel for all three designs, and the five-slotted star fuel port grain attained the best performance. Beeswax fuel attained an average regression rate ≈of 1.35 mm/s as a function of oxidizer mass flux Gox ≈ 111.8 kg/m² s and for paraffin wax 1.199 mm/s at Gox ≈ 121 kg/m² s with gaseous oxygen. The local regression rates of fuels increased in the range of 0.93–1.194 mm/s at oxidizer mass flux range of 98–131 kg/m² s for cylindrical grain, 0.99–1.21 mm/s at oxidizer mass flux range of 96–129 kg/m2s for square grain and 1.12–1.35 mm/s at oxidizer mass flux range of 91–126 kg/m² s for a star grain. A complete set of the regression rate formulas is obtained for all three-grain designs as a function of oxidizer flux rate.

The experiment has been performed for a lower chamber pressure up to 10 bar.

Different grain configurations were designed according to the required dimension of the combustion chamber, injector and exhaust nozzle of the design of a lab-scale hybrid rocket, and input parameters were selected and analyzed.