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Children always have a natural inclination to play, so the purpose of game-based learning is to establish a way for children to acquire knowledge while playing. This study is to discover the relationship between children's play preferences and learning performances toward a mathematics mobile game we designed. The tablet game we designed, "Lily's Closet", is a mathematics game that guides children aged 3-8 to learn "classification". To explore the preferences and learning performances of the games we designed for the preschool children, we put "Lili's Closet" on a children's tablet named Kizpad with over 200 games. We classify and analyze players' behavior data by Data Mining in our designed game to explore children's play behaviors and preferences. We sampled 6,924 children from Taiwan, aged 3-8 years old. In the results, we found that there is a significant difference in the number of ages and achievements in the game. The maturity of the child's age is positively correlated with the achievement of the game, but it is negatively correlated with the number of times of willing to play. As a result, we suggest that to assist learning, we should give children different levels of games according to their ages. The research hopes to resonate with readers and jointly explore the relationship between mobile games.

With the development of mobile hardware and 5G communication technologies,smart applications are booming,which has penetrated into all the aspects of our life and work.There are many functions in applications,which can not only satisfy the user’s requirements,but also be further released as APIs for external invocations.For instance,the APIs provided by applications can be invoked by the intelligent voice assistant.However,these functions must be released as APIs during the development phase,otherwise they cannot be used for external invocations.To address this problem,this paper proposes an approach to automatic release of APIs of Android applications based on computational reflection.It first rebuilds runtime software architecture for the activities of Android applications based on the reflection mechanism,without modifying the source code of application.Then,based on test cases of the specified function,it analyzes its user-behavior workflow and corresponding procedure calls.Finally,the function can be invoked by simulating the user behaviors,and then is released as the corresponding API.We evaluate our approach with 300 popular apps on Android app store Wandoujia,and the results show that our approach is effective for 280 of them.For the specified functions,APIs can be implemented by our approach in about 15 minutes,and their runtime performance is desirable.

Integration test order generation is an important problem in software integration testing research.Reasonable test order can improve the efficiency of integration test and reduce the cost of test.Service oriented architecture(SOA) is a kind of distributed architecture widely used in enterprises in recent years.At present,there are few researches on integration test order generation in SOA architecture.Due to the polymorphism of service composition in SOA architecture,it is impossible to get the integration test sequence between service software in SOA architecture by using the traditional top-down and bottom-up integration test strategies.However,the current research on the generation of integration test sequence based on class cluster in object-oriented system is difficult to apply to the complex coupling relationship between services in SOA architecture.Therefore,an integration test order generation method based on genetic algorithm is proposed to solve the integration test problem between service software in SOA architecture.In this method,the concept of service feature group is used to represent the influence factors of integration testing,and the concept of integration testing priority is used to represent the importance of integration testing of service software.At the same time,the test dependency graph is constructed to describe the complex coupling relationship between ser-vice software in SOA Architecture.In order to reduce the cost of test,a genetic algorithm is designed to generate integrated test sequence.Finally,an example is given to verify the feasibility and correctness of the method.The example results show that the proposed method can generate service software integration test orders with relatively high test priority and low test cost.

The aim of this study was to verify the biological function of miR-1273h-5p in gastric cancer (GC) and its underlying mechanisms. The differential expression of microRNAs between GC and tumor-adjacent normal tissues was detected using microarrays, miR-1273h-5p, and chemokine (C-X-C motif) ligand 12 (CXCL12) mRNA, and protein levels were evaluated using polymerase chain reaction and Western blotting methods, cell proliferation, apoptosis, migration, and invasion were determined by CCK-8, flow cytometry, and transwell assay. Compared to tumor-adjacent normal tissue and gastric epithelial mucosa cell line cells, miR-1273h-5p was significantly downregulated in tissues and cells of GC. The overexpression of miR-1273h-5p could inhibit cell proliferation, migration, invasion, and promote cell apoptosis; in contrast, inhibition of miR-1273h-5p expression could reverse this process. Moreover, a significant upregulation of CXCL12 was observed when the miR-1273h-5p was downregulated in GC cells. Additionally, miR-1273h-5p significantly reduces tumor volume and weight. Thus, this study suggests that miR-1273h-5p regulates cell proliferation, migration, invasion, and apoptosis during GC progression by directly binding to CXCL12 mRNA 3′-untranslational regions, which may be a novel diagnostic and therapeutic target in GC.

One of the top ten foodborne parasitic infections of global concern is human infection of liver fluke through the consumption of raw or undercooked freshwater fish. This article examines the influences of human–environmental interactions of raw fish sharing and procurement connections on the geographic variation in liver fluke infection. We first discuss the networks embedded in the parasite life cycle that propagates disease transmission. Then, we collect 820 questionnaires from three provinces in northeast Thailand to visualize their fish-sharing and sharing-procurement networks, analyze how the connectivity differences in these networks might be linked to participants' consumption behaviors and environmental settings, and determine how all these together affect liver fluke infection risks. The results show that infection was positively associated with procuring fish from ponds, but negatively associated with procuring fish from rivers. Incorporating fish procurement sites substantially increases network connectivity, reinforcing the human connection to key fish sources as a potential risk factor for infection. The consideration of the connections between human, disease hosts, and the environment, compared to the previously human-centric approach of deworming, offers new insights for public health intervention. [ABSTRACT FROM AUTHOR]

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A commercially significant small coastal forage fish, moonfish (Mene maculata), accounts for almost 98% of Taiwanese purse seine capture, primarily in the southwestern Taiwan region. Research indicates that climate indices affect coastal fish catch and dispersal, while the link between moonfish and climatic variability in this region is still unclear. This study found that the delayed period of Pacific Decadal Oscillation (PDO), North Pacific Oscillation (NPO) and North Pacific Gyre Oscillation (NPGO) affect moonfish distribution and catch rates off southwestern Taiwan. Understudied are the environmental factors connected to these oscillations and their delayed consequences on moonfish catch rates. We focussed on Taiwan purse seiner capture rates (catch per unit effort or CPUE) of moonfish in southwestern Taiwan from 2014 to 2020 and delayed oscillation occurrences up to 5 years to better understand these processes. CPUE demonstrated a 3 to 4‐year positive connection (r > 0.5) with NPGO, NPO and PDO. The region's moonfish catch rates were most affected by NPGO with a 4‐year lag, followed by a 3‐year lag of PDO and lastly a 4‐year lag of NPO, according to the results of generalized additive models (GAMs). All the three oscillations had the greatest impact on moonfish catchability when a lag of >2 years was present. Between 2014 and 2020, moonfish CPUE fluctuated, peaking in 2019. The climatic parameters that affect moonfish in southwestern Taiwan and the Taiwanese purse seine fisheries catches are shown by this study. [ABSTRACT FROM AUTHOR]