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The present study assesses the impact resistance of the shear thickening fluids-filled (STFs-filled) foam through drop-hammer impact tests.

The maximum residual impact load and specific impact energy absorption rate of STF-filled foam are studied with varying thickness (4–14 mm), densities (0.35–0.6 g/cm3) and hardness (40–50 Rockwell Hardness C Scale (HRC)) under different ambient temperatures (−20−20 °C) and impact energies (25–75 J).

The following conclusions are obtained from this study: (1) the higher the impact energy, the greater the maximum residual impact force and energy absorption efficiency of the material; (2) the impact resistance of STF-filled foam can be improved with the decrease of ambient temperature, achieving the highest energy absorption rate at −10?. (3) STF-filled foam substrate has the highest impact resistance, the lowest maximum residual impact force and the highest energy absorption coefficient when the density is 0.35  g/cm3, the hardness is 45HC and the thickness is 10 mm.

This is the first paper to analyze the impact of both environmental factors and material properties on the impact resistance of STF-filled foam. The results show that the decrease in temperature and the increase in hardness can enhance the impact resistance of STF-filled foam.

The purpose of this paper is to develop a novel MEMS vector hydrophone with the key features of smaller size, better consistency, higher sensitivity and directional reception, and to develop a highly effective and economical obstacle avoidance sonar system. Currently, the typical vector hydrophones are resonant vector hydrophones based on the accelerometer, which greatly increases the volume and constrains the detection sensitivity. Also, because the system is composed of a number of devices, its size is difficult to be reduced.

A novel double T-shape MEMS vector hydrophone is proposed with a fish’s lateral line organs as prototypes. The structure size and layout location of the piezoresistors were determined by simulation analysis, and the double T-shape microstructure was fabricated integrally by MEMS manufacturing technology, after which, the acoustic package of the microstructure was completed and the prototype was produced. Finally, the packaged hydrophone was calibrated in a standing wave field in the first-class national-defense underwater acoustic calibration station of China. Also, the design and test of an obstacle avoidance sonar system based on the vector hydrophone were completed.

The calibration data show that the double T-shape vector hydrophone has a flat frequency response curve, exhibits a sensitivity of −180 dB (1 kHz, 0 dB reference 1 V/uPa) and shows a good directivity pattern in the form of an “8” shape. The test results of the obstacle avoidance sonar system further verify the feasibility of detecting underwater acoustic signals.

The next work is to increase the sensitivity by optimizing the microstructure and to realize orientation by organizing array.

The hydrophone has the advantages of smaller size, lower cost and directional reception. It can be used to develop highly effective and economical obstacle avoidance sonar system, thus solving the problems of water transport efficiency and traffic safety. The hydrophone has broad application prospects and a huge market potential in the civilian fields.

The MEMS technology and innovative bionic microstructure enable the miniaturization and low cost of the hydrophone. The hydrophone is easy to form array and can narrow the array aperture greatly. So, the hydrophone can be widely used in civil sonar systems.

The purpose of this paper is to examine the interaction effect of innovative product category and presentation order on consumer consumer’s purchasing intention and the mediating role of perceived novelty and risk perception.

The authors examined the hypotheses in three experiment studies. In Study 1, the authors primed innovative product category and presentation order on consumer consumer’s purchasing intention. In Study 2, the authors measured the mediating role of perceived novelty and risk perception. In Study 3, they validated the moderating effect of picture and text consistency on the improvement of purchase preference.

The results reveal that RNP/INP and presentation order (from whole to part/from part to whole) could enhance consumers’ purchase intention and verify the mediating role of perceived novelty and risk perception, based on which a complete internal mechanism model is constructed. The third experiment shows the moderating effect of picture and text consistency on the improvement of purchase preference by matching the category and presentation order of innovative products.

Prior literature on the thinking mode of holistic and partial processing has been mostly applied to the cognitive field of reading and text labeling. In this study, using the holistic (local) processing thinking model and anchoring theory, eye movement experiments and situational experiments, the audience’s analysis framework of information processing mechanism is constructed. The unique phenomenon of product category and overall (local) presentation order coexisting in innovative product advertisement is considered comprehensively.

This paper aims to report an insightful portable microfluidic system for rapid and selective sensing of Hg²⁺ in the picomolar (pM) concentration using microcantilever-based piezoresistive sensor. The detection time for various laboratory-based techniques is generally 12–24 h. The majority of modules used in the proposed platform are battery oriented; therefore, they are portable and handy to carry-out on-field investigations.

In this study, the authors have incorporated the benefit of three technologies, i.e. thin-film, nanoparticles (NPs) and micro-electro-mechanical systems, to selectively capture the Hg²⁺ at the pM concentration. The morphology and topography of the proposed sensor are characterized using field emission scanning electron microscopy and verification of the experimental results using energy dispersive X-ray.

The proposed portable microfluidic system is able to perform the detection in 5 min with a limit of detection (LOD) of 0.163 ng (0.81 pM/mL) for Hg²⁺, which perfectly describes its excellent performance over other reported techniques.

A microcantilever-based technology is perfect for on-site detection, and a LOD of 0.163 ng (0.81 pM/mL) is outstanding compared to other techniques, but the fabrication of microcantilever sensor is complex.

Many researchers used NPs for heavy metal ions sensing, but the excess usage and industrialization of NPs are rapidly expanding harmful consequences on the human life and nature. Also, the LOD of the NPs-based method is limited to nanomolar concentration. The suggested microfluidic system used the benefit of thin-film and microcantilever devices to provide advancement over the NPs-based approach and it has a selective sensing in pM concentration.

The purpose of this paper is to present the landscape of the cash-per-publication reward policy in China and reveal its trend since the late 1990s.

This study is based on the analysis of 168 university documents regarding the cash-per-publication reward policy at 100 Chinese universities.

Chinese universities offer cash rewards from USD30 to USD165,000 for papers published in journals indexed by Web of Science, and the average reward amount has been increasing for the past ten years.

The cash-per-publication reward policy in China has never been systematically studied and investigated before except for in some case studies. This is the first paper that reveals the landscape of the cash-per-publication reward policy in China.

Individuals with intellectual disability have an increased predisposition to other co-morbid physical health conditions, mental illness and neurodevelopmental conditions including autism spectrum condition. There are challenges in diagnosing autism in adults with intellectual disability, and these are often attributes to the complexities in symptoms. The purpose of this paper is to describe the development of the autism diagnostic aid (ADA) tool and face and content validation of its properties.

The ADA tool was developed following a detailed scoping exercise which included literature reviews, observations and discussion with wider multi-disciplinary team members. A face and content validation after consultation with eight experts who are trained and routinely perform assessments for autism spectrum disorders. The experts also have expertise in working with individuals with intellectual disability.

The experts agreed that the ADA tool is appropriate to the targeted construct and assessment objectives as a diagnostic aid in the assessment of autism in adults with intellectual disability. They also determined that the content of ADA tool was valid for its use as a diagnostic aid in the diagnosis of adults with intellectual disability.

The ADA tool was considered a valid tool from the expert’s perspective. It was identified to have a good face and content validity. To the best of the authors’ knowledge, the ADA is first of its kind tool, developed specifically to aid clinicians with autism assessments in adults with intellectual disability.

This tool could potentially help with timely assessment and help with providing appropriate intervention but would require further exploration.

To the best of the authors’ knowledge, this is the first of its kind tool for the assessment of autism in adults with intellectual disability.

Medical education was challenged and re-imagined during the COVID-19 pandemic. This study aims to examine the consequent changes in medical school curricula alongside students’ mental and physical health.

It is observed that 549 medical students (response rate: 79.7%) from 31 of 37 public medical schools in Germany completed a cross-sectional online survey. Students answered questions regarding teaching, internet use, COVID-19 and well-being. A multivariate logistic regression examined factors associated with depressed mood, insomnia and headache.

Academic teaching moved to a virtual environment (91%), whilst practical activities were suspended or cancelled (88%). Virtual teaching modality, quantity and quality were well-perceived, yet 35% of respondents were dissatisfied with their internet connection. Consequently, students worried about the pandemic’s adverse effect on their quality as a doctor (60%) and thought about postponing their studies (30%). Students were frequently engaged in the treatment of COVID-19 patients (36%). Daily screen time was significantly associated with depressed mood, insomnia and headache. Negative changes in mental and physical health were frequently observed.

Students’ experience with digital education during the COVID-19 pandemic was mixed. Whilst teaching modality, quantity and quality were well-perceived, students’ mental and physical health deteriorated. Further longitudinal studies investigating the impact of digital education on students’ well-being are necessary.

Besides teaching, faculties must quickly digitalize and strengthen social communities and offer targeted support services for students.

This is the first cross-sectional survey exploring medical students’ experience with virtual medical teaching alongside their mental and physical well-being in Germany.

The aim of this study is to investigate how team-level leader-member exchange (LMX) and the instrumental use of artificial intelligence (AI) by team members influence team psychological empowerment and information systems development (ISD) team performance.

A survey approach was employed to collect time-lagged, multi-source data for testing the proposed model of this study (N = 514 responses from 88 teams). PROCESS macro was used to analyze the data to generate empirical results.

The results suggest that instrumental AI use indirectly influences ISD team performance by enhancing team psychological empowerment. Additionally, it moderates the effects of team-level LMX on team psychological empowerment and ISD team performance. Furthermore, the results demonstrate that the interaction effect of LMX and instrumental AI use on ISD team performance is mediated by team psychological empowerment.

While research on ISD consistently demonstrates that teams, data, and technology collectively contribute to the success of these projects. What is less known, however, is how the exchange relationship between ISD teams and their leader, as well as technological factors, contribute to ISD projects. This study draws on LMX theory to propose how team-level LMX and the instrumental use of AI by team members influence team psychological empowerment and ISD team performance. The study puts forth a mediated moderation model to develop a set of hypotheses. It offers valuable contributions to AI and LMX, along with implications for ISD team management.

The purpose of this paper is to construct a new algorithm of program procedure for medical grey relational method based on SAS software.

Based on the SAS environment, the authors construct a new algorithm of program procedure through the following methods: the construction data set, confirmation of the comparison sequence and reference sequence, the original data transformation, calculation of the grey relational coefficient of reference sequence and comparison sequence and calculating the correlation.

The results show that the novel algorithm of program procedure for medical grey relational method based on SAS software satisfies the properties properly. It also fully confirmed the biggest advantage of the grey relational analysis is that its requirements are not too high for the amount of data, and it does not need to follow the typical distribution.

The paper succeeds in constructing a novel algorithm of program procedures for medical grey relational method and providing a valuable tool for solving similar problems.

The use of digital technology in firms has drawn attention of innovation management scholars and policy-makers, especially the imitation of digital technology and competition among peer firms. Drawing on dynamic competition theory, this paper examines how firms react to their peers' digital innovation behavior and the effect of external environment mechanisms on the magnitude of peer effects.

This paper utilizes a text mining method to construct a baseline model with a Tobit estimator using data obtained for Chinese listed firms.

The findings suggest that peer effects on digital innovation behavior are robust and significant positive in China. Moreover, peer effects on digital innovation participation are positively magnified by firms' strong social network and high Fintech development. However, peer effects are relatively higher in non-state-owned enterprises (non-SOEs), low-profitability and high R&D firms.

The authors' findings contribute to the digital management literature by showing that firms need digital technological imitation and diffusion of innovations in the digital era.

Managers should provide insights into firms' imitation of their peers' acts to preserve competitive parity. Besides, firms should integrate employees within the organization and communicate digital innovation concepts and behaviors to external peer firms.

First, this paper contributes to explaining how firms change their digital innovation strategy through the influence of peers' digital innovation behavior. Second, this paper fills the literature gaps related to the moderating effects of external environment factors in peer effects of digital innovation behavior.