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One of the most used game design elements in gamification design is leaderboard, a scoreboard showing participants’ current scores and rankings. Though many studies suggest the positive effects of leaderboard on participants’ learning and motivation (Kalogiannakis, Papadakis, & Zourmpakis, 2021), research also shows that not all students benefit from the use of leaderboard (Andrade, Mizoguchi, & Isotani, 2016; Nicholson, 2013). Based on self-determination theory (SDT) (Ryan & Deci, 2017), we designed a study where undergraduate math students completed a leaderboard-based review, and addressed two questions: (RQ1) How are students’ perceived autonomy and competence associated with their enjoyment and intention of continued participation? (RQ2) How is student actual competence associated with their enjoyment and intention of continued participation? 

One of the most used game design elements in gamification design is leaderboard, a scoreboard showing participants’ current scores and rankings. Though many studies suggest the positive effects of leaderboard on participants’ learning and motivation (Kalogiannakis, Papadakis, & Zourmpakis, 2021), research also shows that not all students benefit from the use of leaderboard (Andrade, Mizoguchi, & Isotani, 2016; Nicholson, 2013). Based on self-determination theory (SDT) (Ryan & Deci, 2017), we designed a study where undergraduate math students completed a leaderboard-based review, and addressed two questions: (RQ1) How are students’ perceived autonomy and competence associated with their enjoyment and intention of continued participation? (RQ2) How is student actual competence associated with their enjoyment and intention of continued participation? 

Constructing single atom catalysts with fine-tuned coordination environments can be a promising strategy to achieve satisfactory catalytic performance. Herein, via a simple calcination temperature-control strategy, CeO₂supported Pt single atom catalysts with precisely controlled coordination environments are successfully fabricated. The joint experimental and theoretical analysis reveals that the Pt single atoms on Pt₁/CeO₂prepared at 550 °C (Pt/CeO₂-550) are mainly located at the edge sites of CeO₂with a Pt–O coordination number ofca. 5, while those prepared at 800 °C (Pt/CeO₂-800) are predominantly located at distorted Ce substitution sites on CeO₂terrace with a Pt–O coordination number ofca. 4. Pt/CeO₂-550 and Pt/CeO₂-800 with different Pt₁-CeO₂coordination environments exhibit a reversal of activity trend in CO oxidation and NH₃oxidation due to their different privileges in reactants activation and H₂O desorption, suggesting that the catalytic performance of Pt single atom catalysts in different target reactions can be maximized by optimizing their local coordination structures.

 

Disease registries, surveillance data, and other datasets with extremely large sample sizes become increasingly available in providing population‐based information on disease incidence, survival probability, or other important public health characteristics. Such information can be leveraged in studies that collect detailed measurements but with smaller sample sizes. In contrast to recent proposals that formulate additional information as constraints in optimization problems, we develop a general framework to construct simple estimators that update the usual regression estimators with some functionals of data that incorporate the additional information. We consider general settings that incorporate nuisance parameters in the auxiliary information, non‐i.i.d. data such as those from case‐control studies, and semiparametric models with infinite‐dimensional parameters common in survival analysis. Details of several important data and sampling settings are provided with numerical examples.

 

The growing needs for sustainable nutrient management and pollution control have motivated the development of novel technologies for nutrient recovery from wastewater. However, most of the existing technologies require extensive use of chemicals and intensive consumption of energy to achieve substantial recovery of nutrients. Herein, we present a hybrid electrochemical sequence integrating two relatively novel electrochemical processes, bipolar membrane electrodialysis (BMED) and membrane capacitive deionization (MCDI), for simultaneous removal of phosphorus and nitrogen. Specifically, the BMED process is employed to alkalify the wastewater to facilitate struvite precipitation and the MCDI process is used to further reduce the ammonia concentration in the effluent and concentrate the excess ammonia to a small stream. The electrochemical sequence is demonstrated to remove ∼89% of phosphorus and ∼77% of ammonia, recovering ∼81% of wastewater as a high-quality effluent that can be discharged or reused. This electrochemical treatment train minimizes chemical use and has competitive energy consumption as compared to electrochemical processes for nutrient recovery from wastewater.