In the live streaming transactions, the subject’s trading breach of trust frequently appears, which affects the healthy development of the industry. Therefore, from the perspective of internal supervision and governance, aiming at the interest relationship, behavior strategy, and game relationship between the live platform and the anchor and brand, this paper constructs a multi-stage honest transaction game model of the three behavior strategies, establishes a dynamic credit index mechanism, proposes a complaint compensation and cost-sharing strategy for breach of trust based on the change in dynamic credit index, and explores the influence of relevant parameters on the trading strategies of subjects. The research found that the internal penalty factor and the weight of dishonesty cost sharing can effectively restrain the behavior of transaction subjects; and the increase factor of dishonest transaction income is an important factor affecting the choice of behavior strategies of transaction subjects. Coefficients, internal and external penalty coefficients, as well as implementing a governance strategy of parallel rewards and punishments for trading entities, will assist in regulating the behavior of trading subjects. Full article

Under the background of the digital economy, manufacturing seeks to improve green manufacturing and the level of greenness of products through digital empowerment. However, there exists a certain degree of technical difficulty and cost pressures for independent transformation to enhance green innovation performance through digitalization. How to conduct crossover cooperation with Internet enterprises needs to be explored. Taking automobile manufacturing enterprises as the case background, this paper constructs an evolutionary game model of green innovation crossover cooperation between traditional automobile manufacturing and Internet enterprises in the context of carbon credit policy. From the perspective of the extra effort cost of manufacturing enterprises and the excess income of Internet enterprises, this paper analyzes the mode selection strategy of green innovation crossover cooperation between the two types of subjects, and also analyzes the crossover cooperation mechanism of green innovation from three aspects: income distribution mechanism, carbon credit trading mechanism, and R&D subsidy mechanism. The results show that (1) Reducing the cost of digital green innovation transformation in manufacturing and the excess returns obtained under the free-riding behavior of Internet enterprises will help promote in-depth cooperation among crossover entities. (2) The benefit distribution dominated by manufacturing enterprises is helpful to evolve toward the direction of the alliance cooperative innovation mode and improve the benefits of green innovation cooperation. (3) Under the government’s single weak intervention management mechanism, optimizing carbon credit accounting and assessment standards can effectively guide manufacturers and Internet companies to conduct alliance green innovation cooperation, but they still need to be matched with appropriate R&D subsidies to form a compound strong intervention guidance mechanism to obtain higher social and ecological benefits. Full article

This paper aims to broadly understand the response of glaciers to thick and thin debris cover from one of the less explored regions (Zanskar) of the Himalaya. The present study is based on ground-based measurements (from 2015 to 2019), satellite data (since 1971), and available topographic maps (at a 1:50,000 scale). The study includes snout retreat, changes in equilibrium line altitude (ELA), surface elevation, and modeled mass balance of thick and thin debris-covered Pensilungpa (Suru River basin) and Durung-Drung (Doda River basin) glaciers in the western Indian Himalaya, Ladakh, for the past five decades. The Durung-Drung Glacier (DDG) receded ~−624 ± 547 m with an average rate of −12 ± 11 m a⁻¹ between 1971 and 2019. The frontal part of the DDG is broad (~2 km wide), which shows wide discrepancies in its retreat. Compared to DDG, the small and narrow snout of the Pensilungpa Glacier (PG) retreated −270.5 ± 27.5 m (1971 to 2019), with an average rate of −5.6 ± 0.57 m a⁻¹. Similarly, the four years (2015–2019) of field observations suggest that the retreat rate of PG and DDG is −6.7 ± 3 and −18 ± 15 m a⁻¹, and the rate of modeled glacier mass loss is −0.29 ± 0.3 and −0.3 ± 0.3 m w.e. a⁻¹, respectively. Furthermore, the ELA of the DDG and PG between 1971 and 2019 increased by ~59 ± 38 and ~23 ± 19 m, respectively. The change in the longitudinal profile of the glaciers along the centerline between 2000 and 2017 shows the DDG and PG lost ~17 and 15 m surface ice thickness. The change in debris cover plays a critical role in the glacier surface lowering, shrinkage, retreat, and mass balance. Hence, we quantitatively evaluated the influence of the debris cover on summer ablation and terminus recession on two different characteristic glaciers (DDG and PG) with its potential effect on the mass balance process (area-volume loss). Full article

In the present study, a deep learning-based two-scenario method is proposed to distinguish tomato seed cultivars. First, images of seeds of four different tomato cultivars (Sacher F1, Green Zebra, Pineapple, and Ozarowski) were taken. Each seed was then cropped on the raw image and saved as a new image. The number of images in the dataset was increased using data augmentation techniques. In the first scenario, these seed images were classified with four different CNN (convolutional neural network) models (ResNet18, ResNet50, GoogleNet, and MobileNetv2). The highest classification accuracy of 93.44% was obtained with the MobileNetv2 model. In the second scenario, 1280 deep features obtained from MobileNetv2 fed the inputs of the Bidirectional Long Short-Term Memory (BiLSTM) network. In the classification made using the BiLSTM network, 96.09% accuracy was obtained. The results show that different tomato seed cultivars can be distinguished quickly and accurately by the proposed deep learning-based method. The performed study is a great novelty in distinguishing seed cultivars and the developed innovative approach involving deep learning in tomato seed image analysis, and can be used as a comprehensive procedure for practical tomato seed classification. Full article

Edible flowers are a rich source of phytochemicals with potential health benefits. Yet, changes in production practices can influence the phytochemical composition of edible flowers. Practices such as the addition of biochar have been used to affect growing media properties as well as to conserve peat resources. However, there is little known about how biochar affects the phytochemical composition of edible flowers. To determine if biochar affects phytochemicals in Viola cornuta, four cultivars were subjected to different rates of biochar, with and without fertilizer. At the rate of 10% biochar and without fertilizer application, flower polyphenol and flavonoid concentrations were decreased by 10–20% in two cultivars. However, at 25% biochar, flower polyphenol concentrations varied widely. When fertilizer was added, no effects of biochar were seen. Phytochemical characterization of unfertilized plants further revealed that while increased rates of biochar reduced concentrations of certain antioxidant compounds, these compounds were increased when fertilizer was added. Overall, fertilization can counteract some of the negative effects of biochar on Viola cultivars, resulting in higher nutritional quality and an increase in bioactive compounds produced, providing an ability to replace the peat moss with biochar. Full article

Although historical areas have significant unique architectural, historical and cultural values, and urban patterns, the physically degraded/damaged and deteriorated urban fabric of historical environments does not completely fulfill the contemporary needs of residents, which leads to low levels of resident satisfaction. As a result, this study examines the factors affecting residential satisfaction in a historic area to enhance satisfaction. Toward this objective, the present study selects the historical area of Famagusta, North Cyprus, and conducts a comprehensive survey among 129 households. Furthermore, the present study assesses residential satisfaction by incorporating socio-demographic, household environment, local historic housing renovation rules, and sense-of-place factors as well as applying the logit regression approach to find reliable results. Moreover, this study performs bootstrap Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression to rank the importance of variables instead of relying on the size of estimated coefficients. To the best of our knowledge, this is among the first studies to conduct this nexus and the results could significantly contribute to the literature. Remarkably, the results reveal that the residential environment, local historical housing renovation rules, and sense of place have significant and positive effects on residential satisfaction, implying that these factors have a significant role in raising residents’ satisfaction levels. Full article

This study determined the efficacy of the Beauveria bassiana (Balsamo-Crivelli) Vuillemin (Hypocreales: Cordycipitaceae) alone or combined with the diatomaceous earth DEA (a mixture of DE + abamectin) against adults and larvae of Tribolium castaneum (Herbst) (Coleoptera: Tenebrionidae). DEA was evaluated at 50 ppm while the fungi at 1.6 × 10⁵, 1.6 × 10⁶, and 1.6 × 10⁷ conidia/kg wheat). Mortalities were assessed after 7 or 14 days of exposure, while progeny reduction in adults after 30, 60, 90, or 120 days. The radial fungus growth was significantly affected by the dose of DEA. Mortalities were higher in the combined treatments compared to the application of DEA or B. bassiana alone for both larvae and adults. Larvae were more susceptible than adults in all treatments and exposure intervals. Insect survival and progeny production were recorded for four months. Significantly fewer progeny was noted on wheat treated with DEA + B. bassiana treatments compared with control. The maximum number of mycosed cadavers and the rate of sporulation were observed at the lowest dose of B. bassiana alone, followed by the higher doses gradually. These findings indicate that the DEA + B. bassiana combinations can efficiently control T. castaneum, providing long-term protection of wheat. Full article

Background: Cooking activities generate pollutants that can cause adverse health effects to occupants. This study aims to characterize the indoor air environment in small and medium food enterprises (SMEs), as studies in this area are scarce. Methods: A series of field measurements were conducted to investigate the IAQ at 14 SMEs selected in Pulau Pinang for three different cooking methods (frying, boiling, and baking). Data on environmental perception and health symptoms were obtained from 76 workers by using a validated questionnaire. Boosted regression tree (BRT) analysis and parametric tests were performed to evaluate the impact of the IAQ on the prevalence of disease symptoms. Results: The results showed that CO₂, temperature, and relative humidity were higher than the standard limits, while PM_2.5 and TVOC were below the standard limits. Using BRT analysis, CO₂ was indicated as the highest pollutant to cause complaints by workers (41.55%), followed by CO (21.93%), relative humidity (11.81%), temperature (10.66%), PM_2.5 (7.07%), and TVOC (6.99%). This study indicated that workers in SMEs food industries are affected by the indoor air quality at their workplace in which CO₂ was the main parameter influencing their health. This study suggests that future research focuses on boiling and frying SMEs with CO₂, CO, temperature, and relative humidity to be afforded emphasis. Full article

Academic and social-emotional experiences during the university years influence students’ academic achievement and emotional well-being. However, there is insufficient evidence on how the numerical representation of same-gendered persons affects such experiences in each group. The aim of this research was to analyze university experiences within degree programs where there is a large gender gap in students enrolled. The study is descriptive and cross-sectional and uses a mixed approach. An adaptation of the QVAr (questionnaire on academic experiences-reduced version) was administered to 726 students enrolled in degree programs with a large gender gap. Additionally, ten individual interviews were carried out with students belonging to minority gender groups. The obtained results show that, in these degree programs, students’ adaptation and coexistence processes are different, especially in interpersonal relationships between the majority and minority groups. Women in the minority require support from their female classmates in the early years of the degree program. Men in the minority, however, feel like part of the group from the start. Full article

A voltage sag is a major power quality problem at any load location, mainly due to short circuit faults. Its effects are especially clear in the industrial sector because they lead to direct financial losses. The first and most important step to getting rid of or at least reducing voltage sag is to find the places in the network where it can happen. So, this article discusses a creative way to find the weak spots in a network where the voltage is more likely to drop. This innovative strategy is based on correlation and a stochastic normal probability distribution. The voltage sag is evaluated using an analytical method. The method simulates the number, type, and location of faults randomly throughout the system. After gathering voltage dip data, it is analyzed using normal probability distribution and correlation concepts. The correlation concept provides the relationship between the sag frequency and other parameters, and the sag occurrence area was indicated by the normal probability distribution. After that, the region of vulnerability (ROV) is developed using the ROV flow chart. This paper uses an IEEE 30-bus RTS system as a case study to demonstrate the usefulness of the suggested strategy using MATLAB software. Full article

Innovation ambidexterity has become a crucial strategic action for creating sustainable competitive advantages. This research provides novel insights by establishing a connection between performance gaps and innovation ambidexterity. We employ the organization’s resource acquisition and management perspective to construct and empirically assess a moderated mediation model that sheds light on the underlying process—through the dual-mediating path of network broadening (NB) and network deepening (ND) and the moderating role of resource orchestration capabilities. Using subjective surveys and objective-matched data from 362 Chinese listed firms, we confirm the positive-performance-gap-combined innovation ambidexterity relationship, and we find that NB and ND play a parallel mediating role between performance gap and balanced and combined innovation ambidexterity, with ND playing a stronger mediating role than NB. Furthermore, resource orchestration capabilities play a moderating role between NB and balanced and combined innovation ambidexterity, as well as between ND and balanced and combined innovation ambidexterity. These results contribute to the research on social network and ambidexterity literature and provide guidance on how to overcome firms’ performance dilemmas. However, our study has certain methodological limitations that constrain the implications of our results, offering intriguing opportunities for future research. Full article

Understanding climate change awareness and its related risks is crucial to plan efficient climate-smart strategies. An online survey was conducted on Italian consumers with the aim to understand consumers’ inclination toward food products obtained with climate-smart strategies. Specifically, consumers’ awareness about climate change and willingness to choose and pay for products derived from climate-smart agriculture were investigated. Results highlighted two targeted consumers, one more interested in economic issues and more “conservative” and the second one more concerned with climate changes risks with a higher interest in environmental and ethical values (fair trade), representing the primary target consumers for climate-smart foods. This segmentation can be useful to identify expectations and purchase drivers that can facilitate climate-smart policies and the establishment of the climate-smart foods on the market. Full article

We use circuit-level granular electricity measurements from student housing and statistical analysis to better understand individuals’ electricity consumption. Two key patterns emerged—individuals varied systematically in their magnitude of electricity use as well as in their variability of usage at the hourly and daily level. A cluster analysis of electricity consumption in individual bedrooms shows that 18% of students consume 48% of total electricity use at a median of 2.17 kWh/d/person. These few energy hogs have a disproportionate impact on electricity consumption. In contrast, the misers (22% of students) consume only 4% of the electricity (0.18 kWh/d/person). Mini-refrigerators in bedrooms contributed substantially to the total electricity use of the moderate users. In contrast, mini-refrigerators were less influential for energy hogs, suggesting that these residents may draw power in others ways, such as by using powerful computing or gaming systems for hours each day. A sub-cluster analysis revealed substantial individual variability in hourly usage profiles. Some energy hogs use electricity consistently throughout the day, while others have specific periods of high consumption. We demonstrate how our analysis is generalizable to other situations where the resident does not directly pay their utility bills and thus has limited financial incentive to conserve, and how it contributes to a deeper understanding of the different ways in which individuals use energy. This allows for targeting interventions to groups with similar patterns of consumption. For example, policies such as fines or fees that might reduce the excessive electricity use for short times or for individual hogs could result in potential savings ranging from 16–33% of bedroom electricity. Full article

Brewer’s spent grain (BSG) is the main brewery by-product, whose main use is animal feed but its incorporation into food can improve nutritional quality and sustainability. However, consumers base food preferences on packaging cues that assign meaning to food products. Furthermore, sustainability communication in food is poorly studied. Therefore, the objective of this work was to study the effect of communicating BSG enrichment in beef burgers on consumer responses. Three burger brands were considered and three labels were designed that included information about the addition of fiber. A total of 276 Uruguayans completed an online survey to measure their purchase intention. The way participants were informed about fiber addition did not influence their responses and the brand was the only factor that affected the results. Cluster analysis was applied, identifying four clusters. The brand was always the only significant variable and two of the clusters were highly interested in purchasing the fiber-enriched burgers. The results suggest consumers are interested in the inclusion of BSG in their products and expect information on the origin of the ingredient but not deep communication about the concept of ‘by-products.’ Full article

An important recent issue in research is the effective protection and rational utilization of cultural heritage. In particular, the regional protection and utilization network of heritage space is the overall requirement for promoting cultural protection and high-quality development of its industry. Using Dunhuang city, Gansu Province, China, as a case study, it is argued here that the cultural heritage space is a living unit that is composed of not only cultural heritage but also its overall environment. By identifying the key historical factors of Dunhuang’s regional cultural heritage space, this paper explores the conservation factors and utilization factors. The suitability of the conservation factors and utilization factors is assessed through a two-way index of conservation and utilization. In addition, using a field strength model that considered various factors, the suitability characteristics of conservation and utilization were summarized. It was found that the conservation and utilization space of Dunhuang’s cultural heritage had three network features: same level overlap, primary and secondary combination, and significant differentiation. At the same time, these formed an organization network of “patch collage and corridor concatenation” and the network of “mine field pattern and branch extension”. From this, the sustainable development of the Dunhuang cultural space network can be realized through the combinations of site protection and ecological protection and environmental utilization and ecological restoration. Full article