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Higher education institutions (HEIs) play a pivotal role in fostering economic development by cultivating skilled workforce and generating knowledge and innovation. However, HEIs may pose a potential risk to sustainable economic development due to the generation of food waste inside their campus canteens. Therefore, this study aims to examine the influence of attitude, subjective norm (SN), perceived behavior control (PBC), religiosity and pro-social behavior among State Islamic Religious College (SIRC) students on their intention to avoid food waste behavior. This study also focused on the mediating role of the three original theory of planned behavior (TPB) variables and pro-social behavior in the relationship between religiosity and the intention to reduce food waste.

Questionnaires were used to collect data from 443 students at SIRC. The collected data were processed and analyzed using structural equation modelling to test direct, indirect and mediating effects.

The empirical results indicated that the eagerness of students at SIRC to reduce their behavior of leaving food behind can be driven by their negative attitudes or views toward food waste, the practice of religious teachings in their lives, the belief that they can avoid food waste and their concern for the environment. The empirical results reveal that even though religiosity influences SN, it is unable to strengthen the relationship between religiosity and the desire to be anti-food waste.

In addition to contributing to the food waste literature in the context of eating behavior, the results of this study have theoretical and practical implications.

To assess SIRC students’ behavioral intentions to avoid food waste behavior, this study used a contemporary setting to measure attitude, SN, PBC, religiosity and pro-social behavior, so strengthening the TPB’s empirical underpinning.

This study aims to explore the determinants that impact state Islamic University/Perguruan Tinggi Keagamaan Islam Negeri students’ intention to adopt online cash waqfs. In doing so, this study integrates knowledge of cash waqf and trust variables within the theory of planned behavior (TPB), allowing an examination of the mediating role of TPB variables and trust within the relationship between knowledge of cash waqf and intention for online cash waqf behavior.

To carry out an empirical analysis, the authors developed a well-structured questionnaire and distributed it to a group of students currently enrolled in PTKIN, obtaining 443 usable responses. The partial least squares-structural equation modeling (PLS-SEM) technique was used for the dual purposes of data analysis and hypothesis testing.

This study demonstrates that factors such as attitude, subjective norms, perceived behavioral control, trust and knowledge of cash waqf have a significant and favorable influence on the intention to donate through e-cash waqf. Knowledge of cash waqf impacts attitudes, subjective norms, perceived behavioral control and trust. The final analysis shows that attitude, subjective norms, perceived behavioral control and trust partially mediate the relationship between knowledge and intention in the online cash waqf context.

The aforementioned elucidates the paramount importance of trust in shaping individuals’ tendencies to engage in cash waqfs. The insights mentioned have the potential to be used by cash waqf establishments to promote transparency and accountability, ultimately bolstering the confidence of potential donors.

The concepts of waqf and the use of online cash waqf as a means of donation in developing countries are relatively new. In this study, the intention of students to adopt online cash waqf was predicted for the first time by considering their knowledge of cash waqf and their trust in online cash waqf transactions.

The purpose of this case study was to complement existing weeding and retention criteria beyond the most used methods in academic libraries and to consider citation counts in the identification of important scholarly works.

Using a small sample of items chosen for withdrawal from a small liberal arts college library, this case study looks at the use of Google Scholar citation counts as a metric for identification of notable monographs in the social sciences and mathematics.

Google Scholar citation counts are a quick indicator of classic, foundational or discursive monographs in a particular field and should be given more consideration in weeding and retention analysis decisions that impact scholarly collections. Higher citation counts can be an indicator of higher circulation counts.

The authors found little indication in the literature that Google Scholar citation counts are being used as a metric for identification of notable works or for retention of monographs in academic libraries.

Vision, audition, olfactory, tactile and taste are five important senses that human uses to interact with the real world. As facing more and more complex environments, a sensing system is essential for intelligent robots with various types of sensors. To mimic human-like abilities, sensors similar to human perception capabilities are indispensable. However, most research only concentrated on analyzing literature on single-modal sensors and their robotics application.

This study presents a systematic review of five bioinspired senses, especially considering a brief introduction of multimodal sensing applications and predicting current trends and future directions of this field, which may have continuous enlightenments.

This review shows that bioinspired sensors can enable robots to better understand the environment, and multiple sensor combinations can support the robot’s ability to behave intelligently.

The review starts with a brief survey of the biological sensing mechanisms of the five senses, which are followed by their bioinspired electronic counterparts. Their applications in the robots are then reviewed as another emphasis, covering the main application scopes of localization and navigation, objection identification, dexterous manipulation, compliant interaction and so on. Finally, the trends, difficulties and challenges of this research were discussed to help guide future research on intelligent robot sensors.