Use Of Multiple Resources Research Articles

Meaning-making systems: A multimodal analysis of a Latinx student’s mathematical learning

This article discusses multimodal practices in the context of teaching and learning and how this idea might inform and facilitate mathematical learning, especially for Latinx students. We discuss qualitative data drawn from a study of an elementary bilingual classroom (age 10 and age 11) in a Midwestern city (USA) that is exceptional because the students successfully do high-level mathematics. We describe one class episode and one student’s use of multiple resources to create meaning. Through this we highlight the nature and relevance of multimodal practices for learning mathematics. This case highlights the necessity of creating environments, where students, especially those who have been historically excluded, use resources to make meaning and gain greater access to mathematics.

Is enrichment with inorganic and organic compounds feasible for improving the quality of vermicomposting using water hyacinth biomass?

In eutrophic environments, aquatic weeds reproduce rapidly, occupying extensive areas of the water body and preventing the multiple use of water resources. The use of the biomass of these plants in vermicomposting represents a sustainable alternative utilization of the excess biomass produced by eutrophication. The enrichment of macrophyte biomass during vermicomposting was tested using aninorganic solution (NPK 1.75 % and NPK 3.50 %) and an organic solution with glucose (0.25 g/L and 0.50 g/L) to improve the quality of the vermicompost. The consumption of biomass of the macrophytes by the Eisenia fetida increased as the vermicomposting progressed, reaching the highest values at the end of the experimental period. The control treatment, i.e., without earthworms, remained stable.The electrical conductivity tended to increase for the treatments NPK 1.75 %, Glucose 0.25 g/L and Glucose 0.50 g/L. The pH of the vermicomposting tended to be neutral in all treatments. The control and inorganic treatments showed a reduction in macrophyte biomass and the number of individuals of Eisenia fetida. The additions of NPK and glucose slightly improved vermicompost quality andbiomass consumption by the earthworms. However, using vermicompost alone does not meet the requirements for its use as a fertilizer. Thus, we suggest the use of vermicompost in association with other fertilizers, adding moisture and structuring the soil.

Computer-based Auditory Training by New Adult Cochlear Implant Recipients Is Associated With Durable Improvements in Cochlear Implant Quality of Life.

The process of adapting to communicate with a cochlear implant (CI) is complex. The use of auditory training after cochlear implantation may help to facilitate improvements in postoperative speech recognition and quality-of-life outcomes in new adult CI recipients. However, the effectiveness of auditory training remains uncertain and long-term effects have not been examined in a large sample of new adult CI users. As such, the objective of this study was to examine the influence of common forms of auditory training on speech recognition and CI-related quality-of-life (CI-related QOL) outcomes at 1 year after cochlear implantation. We hypothesized that patients who reported use of computer-based auditory training (CBAT) would show improved speech and CIQOL-35 Profile scores at 1 year after activation of their implant, compared with their peers. This study was designed as a prospective study and was undertaken at a tertiary academic CI center. Participants included 114 adults undergoing cochlear implantation for bilateral hearing loss. Patients serially self-reported use of the following types of post-CI auditory training over their first-year postactivation: (1) face-to-face training (e.g., speech-language pathologist), (2) passive home-based training (e.g., listening to audiobooks), and (3) CBAT (e.g., self-directed software). Outcomes measures for this study included change in Consonant-Nucleus-Consonant phoneme (CNCp), CNC word (CNCw), AzBio sentences in quiet, and CIQOL-35 Profile global and domain scores from pre-CI to 12-mo post-CI. Of 114 patients, 94 (82.5%) used one or more auditory training resources. Of these, 19.3% used face-to-face training, 67.5% passive home-based training, and 46.5% CBAT. Of 114 patients, 73 had complete CIQOL data. At 12 mo, only CBAT use was associated with significantly greater improvements in global and all domain-specific CIQOL scores ( d -range = 0.72-0.87), compared with those not using CBAT. Controlling for demographics and use of multiple training resources, CBAT remained the strongest positive predictor of CIQOL improvement, with significant associations with global score (ß = 12.019[4.127,19.9]) and all domain scores at 12-mo post-CI: communication (ß = 11.937[2.456,21.318), emotional (ß = 12.293[1.827,22.759), entertainment (ß = 17.014[5.434,28.774), environment (ß = 13.771[1.814,25.727]), listening effort (ß = 12.523[2.798,22.248]), and social (ß = 18.114[7.403,28.826]). No significant benefits were noted with use of CBAT or any other form of auditory training and speech recognition scores at 12-mo post-CI ( d -range = -0.12-0.22). Auditory training with CBAT was associated with improved CI-related QOL outcomes at 12-mo post-CI. Given its availability and low cost, this study provides evidence to support using CBAT to improve real-world functional abilities in new adult CI recipients.

Transcending the boundaries of mode in online language teaching: A translanguaging perspective on ESL teachers’ synchronous small group online tutorials

The employment of virtual conference tools has created new possibilities for language teaching and learning. Amid the suspension of face-to-face classes at every level of education in most countries globally due to the COVID-19 pandemic, the majority of teachers and students have to make the transition from classroom-based teaching to synchronous online teaching. The virtual environment is significantly different from the physical classroom; consequently, teachers need to bring with them resources from the classroom context and adapt them to the online teaching context in order to promote effective and real-time interactions with students. This virtual ethnographic study investigates how online English teachers create a translanguaging space by transcending the boundaries of modes from a physical face-to-face teaching context to small group online tutorials in order to mediate students' English language learning. Multimodal Conversation Analysis is employed to analyse the online tutorial data and the analysis is triangulated with the video-stimulated-recall-interviews that are analysed using Interpretative Phenomenological Analysis. The findings illustrate that the multimodal resources which are typically used in traditional classroom settings by the teachers transcend the boundaries of mode in a social semiotic sense since they are re-enacted in the online tutorial for enhancing the process of online teaching. I argue that such re-enactment highlights online English teachers’ fluid and flexible use of multiple multimodal resources to achieve different pedagogical functions. This study will offer some pedagogical implications to inform the development of a translanguaging pedagogy in an online teaching context.

Elevated rates of dietary generalization in eusocial lineages of the secondarily herbivorous bees

BackgroundWithin the Hymenoptera, bees are notable for their relationship with flowering plants, being almost entirely dependent on plant pollen and nectar. Though functionally herbivorous, as a result of their role as pollinators, bees have received comparatively little attention as models for insect herbivory. Bees often display dietary specialization, but quantitative comparison against other herbivorous insects has not previously been conducted.ResultsIn the most comprehensive analysis to date for 860 bee species, dietary specialization amounted to 50.1% of studied species collecting pollen from between 1 and 2 botanical families with a relatively long tail of dietary generalists, with 11.1% of species collecting from more than 10 botanical families. This distribution deviated from the truncated Pareto distribution of dietary breadth seen in other herbivorous insect lineages. However, this deviation was predominantly due to eusocial bee lineages, which show a range of dietary breadths that conformed to a normal distribution, while solitary bees show a typical truncated distribution not strongly different from other herbivorous insects. We hypothesize that the relatively low level of dietary specialization in bees as a whole reflects the relaxation of the constraints typically observed in herbivorous insects with a comparatively reduced importance of plant chemistry and comparatively increased importance of phenology and foraging efficiency. The long flight periods of eusocial bees that are necessary to allow overlapping generations both allows and necessitates the use of multiple flowering resources, whereas solitary bees with short flight periods have more limited access to varied resources within a constrained activity period.ConclusionsCollectively, solitary bees show slightly lower specialization compared to other herbivorous insects, possibly due to their balanced relationship with plants, rather than direct antagonism such as seen in the direct consumption of plant tissues. An additional factor may be the mediocre diversity of bees at low latitudes combined with low levels of dietary specialization, whereas these areas typically display a high rate of specialization by herbivorous insects in general. Though the most important factors structuring dietary specialization in bees appear to differ from many other herbivorous insects, solitary bees show a surprisingly similar overall pattern of dietary specialization.

Inland Fisheries: Challenging Issues & Management Strategies in Indian Context

Inland capture and culture fisheries is an important sector of Indian agriculture, providing employment, food and nutritional security, particularly to the rural poor and better access to protein-rich food for all. The country has shown continuous and sustained increments in fish production, since independence. The inland fisheries are composed of mainly three components i.e. fisheries resources, fish & fishers. The sector has vast production potential, particularly for inland aquaculture and culture-based fisheries resources. But nowadays, the sector is facing various challenging issues like environmental pressures, overexploitation, inadequate database & catch information, unequal gender participation, lack of sufficient infrastructure and inadequate governance systems. In order to overcome these issues, a holistic approach is required to manage the inland fisheries by involving its major components which are fisheries resources, fish & fishers. This is the need of the hour to take action in a collaborative manner by government, scientists, fishery managers, fishers and multiple resource users for sustainable management of inland fisheries resources by encompassing the concept of Ecosystem-based fisheries management. We all need to be responsible for our duties towards the conservation and management of aquatic resources, not only for conserving the wealth of inland fisheries for the present but for future generations also.

Using PowerPoints to assess students’ learning from multiple resources

PowerPoints are among the most commonly used, yet infrequently investigated, classroom assignments. This study examines the features of PowerPoints that students produce based on multiple resources and associates these features with the quality of students’ oral presentations and information use behaviors during PowerPoint production. The MD-TRACE Model (Rouet & Britt, 2011) and Mayer’s SOI framework (1996) were used as guiding frameworks in this study. Confirming results from prior work, students were found to most frequently select resources based on their non-epistemic source features (e.g., length, information readability). Additionally, students were found to include a variety of organizational features (e.g., descriptive titles, topographical indicators, like bullets) on their slides. However, students’ inclusion of such organizational features negatively predicted the number of elaborated, added, and audience-directed idea units included in their oral presentations. Conversely, students’ purposeful exclusion of resources from their PowerPoints positively predicted elaborations during oral presentation delivery, suggesting complex patterns in the relation between multiple resource use and the quality of students’ PowerPoint presentations. Qualitative analysis of extreme cases was used to further explore patterns in students’ PowerPoint production.

A newcomer’s spontaneous translanguaging in lower-secondary physics education

ABSTRACT Research indicates that encouraging translanguaging can enhance learning in a range of contexts. However, there are few studies examining translanguaging for learning among newcomers in science education. This case study fills this research gap by examining in what ways a newcomer to the school uses translanguaging practices with his classmate to participate more fully in a linguistically diverse physics classroom, where neither the teacher nor a majority of the students share the same home language. The data comprises transcriptions of video and audio recordings and photographs from nine physics lessons (students aged 14–15 years). Translanguaging practices 1 1 In this study the languages that students use in contexts beyond the classroom are called home languages. Here we draw on Eisenschlas and Schalley (2020) who argue that in reference to languages that “home” is “not the same as “house one lives in” (i.e. the physical space), and should be understood more broadly as referring to a “point of reference from which speakers navigate the world” (p. 34). were identified and analyzed from a sociocultural perspective. Benito, the newcomer, spontaneously used English, Swedish, Spanish and Portuguese and prior knowledge in creative ways in interactions with his classmate during pair work, something that was not possible in whole class instruction. Multilingual peer dialogue, multilingual private speech and the use of multilingual artifacts increased learning opportunities. Moreover, Benito and his classmate Edin engaged in exploratory talk and demonstrated metalinguistic awareness. This study indicates that teachers who actively facilitate the use of students' multiple linguistic resources for sensemaking can contribute to a more egalitarian education and increase opportunities for learning in linguistically diverse classrooms.

Technology of Transition to the Business Model of the Economy of Multiple Use of Resources on the Example of the Operation of Paint Chambers with Hydrofilters

Technology of Transition to the Business Model of the Economy of Multiple Use of Resources on the Example of the Operation of Paint Chambers with Hydrofilters

Examining the predictors of multitasking information behavior among library and information science professionals in Pakistan

PurposeThe multitasking phenomenon has been prevailing in the technology-driven information environment. People are engaged in multitasking to process information and deal with personal and professional information tasks. This study aims to explore the external predictors of multitasking information behavior (MIB) of library and information science (LIS) professionals from Pakistan.Design/methodology/approachThis is a quantitative study based on a questionnaire survey, and data was collected through Google Form; the link was shared via e-mail and WhatsApp to get maximum responses. The sampling includes the LIS professionals working in Higher Education Commission-recognized universities of Khyber Pakhtunkhwa (KPK), Pakistan. A total of 126 responses were received from 41 universities of KPK.FindingsPearson correlation and regression were applied by using SPSS for data analysis. The findings revealed that time pressure (TP) is a good predictor of multitasking because when professionals got tasks with deadlines, they try to perform multiple activities at a time. Therefore, TP is a predictor of human MIB. This study also revealed that the work environment is a less significant predictor of MIB, and the use of multiple information resources is a weak predictor of MIB. It is noted that individual covariates were not predictors of the multitasking information. However, TP was the most significant predictor among all the contextual and individual factors predicting MIB.Research limitations/implicationsThis research line is significant because MIB is a new dimension of human information behavior among LIS professionals. The findings are beneficial for LIS professionals to increase their work productivity and performance by rationalizing the significant predictors.Originality/valueTo the best of the authors’ knowledge, no such study is available that highlighted the MIB among LIS professionals. Therefore, this study will highlight external factors’ effects on LIS professionals’ MIB. This study will contribute to the literature on libraries and information management as this study describes the LIS professionals’ behavior.

УПРАВЛЕНИЕ УСТОЙЧИВЫМ РЕГИОНАЛЬНЫМ РАЗВИТИЕМ

The article is devoted to the study of modern problems and the search for promising directions for the development of territorial entities based on the principles of sustainability. The following elements of sustainable regional development management are specified: trade-offs between generations, interregional trade-offs, multiple use of natural resources, rational use of renewable resources, consideration of risk and uncertainty. Measures of the sustainable regional development management system are proposed for each of the components. A platform of components and measures of the sustainable regional development management system is proposed.

Resources synchronization in a full truckload pickup and delivery problem: An exact approach

In this work, the Unpaired Full Truckload Pickup and Delivery Problem with Resource Synchronization is modeled and solved, where routes must be determined to transport commodities from pickup to delivery locations by a set of vehicles, subject to timing and resource synchronization constraints, to satisfy demands at minimum cost. Unlike previous works, the use of multiple resources for loading and unloading tasks at each location are considered and appropriately managed through a representation using discrete shifts. An integer linear programming model is proposed to simultaneously solve allocation, routing and resources synchronization optimization problems. In order to improve the model performance for large size instances, diverse reformulations, including additional inequalities and symmetric-breaking constraints, are implemented and tested. Moreover, a heuristic procedure is proposed to provide good initial feasible solutions. The capabilities of the proposed approach are assessed through several examples.

Complementary in Time and Space: Optimization on Cost and Performance with Multiple Resources Usage by Server Consolidation in Cloud Data Center

The recent COVID-19 pandemic has accelerated the use of cloud computing. The surge in the number of users presents cloud service providers with severe challenges in managing computing resources. Guaranteeing the QoS of multiple users while reducing the operating cost of the cloud data center (CDC) is a major problem that needs to be solved urgently. To solve this problem, this paper establishes a cost model based on multiple computing resources in CDC, which comprehensively considers the hosts’ energy cost, virtual machine (VM) migration cost, and SLAV penalty cost. To minimize this cost, we design the following solution. We employ a convolutional autoencoder-based filter to preprocess the VM historical workload and use an attention-based RNN method to predict the computing resource usage of the VMs in future periods. Based on the predicted results, we trigger VM migration before the host enters an overloaded state to reduce the occurrence of SLAV. A heuristic algorithm based on the complementary use of multiple resources in space and time is proposed to solve the placement problem. Simulations driven by the VM real workload dataset validate the effectiveness of our proposed method. Compared with the existing methods, our proposed method reduces the energy consumption of the hosts and SLAV and reduces the total cost by 26.1~39.3%.

Emergent multilingual learners’ meaning negotiation and knowledge building through translingual writing practices in South Korea

ABSTRACT This article reports findings from a three-year qualitative study that explored the nature of translingual writing practices of the emergent multilingual youth who are ethnic Korean migrant children from Central Asia and Russia to South Korea. While settling into a new society, these emergent multilingual children tend to navigate and negotiate multiple languages, literacies, and identities. As a researcher and former teacher of Russian-speaking ethnic Korean migrant children in Korea, I became interested in examining how and why they engaged in translingual writing practices beyond school walls (referring to the capabilities and the processes of translingual language learners’ appreciation, negotiation, and evaluation of multiple semiotic resources). Drawing upon ‘translingualism’ , this study gathered and analysed the data from multiple sources (i.e. observations, interviews, fieldnotes, and artefacts). The findings demonstrate the emergent multilingual youth’s agentive engagement in translingual writing practices for differing purposes such as meaningful interaction, language development, and academic success. This study suggests that the dynamic and spontaneous use of multiple semiotic resources is the key to the emerging multilingual children’s everyday communicative and literate lives as well as in the process of multilingual language development.

A new lens to the understanding and reduction of household food waste: A fuzzy cognitive map approach

Food waste generated at the household level is known to be the main contributor to total food waste, particularly in developed regions. Reducing household food waste (HFW), however, is an extremely compelling task as there are many complex and interacting factors behind the HFW behavior. This study aims to address the factors behind the complexity by applying the Fuzzy Cognitive Map (FCM) method. FCM represents a new approach that enables the use of multiple resources, consideration of outnumbered factors, handling of linguistic ambiguities, and scenario analysis. Through FCM, this study aims to develop a more complete model of the complex HFW drivers' system and identify the most influential HFW drivers addressing which is key while designing HFW-reducing interventions. The current study employs a three-stage methodology that utilizes content analysis of scholarly published academic articles and exploits expert opinion to construct an FCM. In the final stage, through scenario analysis, the study tests and reports the effects of each HFW driver and evaluates them based on their potential to reduce HFW. The findings of this research reveal that system concepts A12 (fail to consume what is in the fridge), A2 (excessive purchasing), and A9 (cooking and serving too much) are the most influential practices concerning HFW. While the study suggests innovative approaches that would enable people not to give up their normality to cope with A12 , tackling A9 requires challenging the normality, and addressing A2 requires changing food store-related infrastructural elements. Moreover, the study draws attention to the concept C2 (food safety and health concerns) due to its potential to be a disincentive to FW reduction efforts as well as to the concept G1 (lack of knowledge/skill/awareness) which requires special attention to maximize its potential. Finally, the paper offers specific recommendations to practitioners and policymakers and provides future research directions.

Above- and below-ground plant traits are not consistent in response to drought and competition treatments.

Our understanding of plant responses to biotic and abiotic drivers is largely based on above-ground plant traits, with little focus on below-ground traits despite their key role in water and nutrient uptake. Here, we aimed to understand the extent to which above- and below-ground traits are co-ordinated, and how these traits respond to soil moisture gradients and plant intraspecific competition. We chose seedlings of five tropical tree species and grew them in a greenhouse for 16 weeks under a soil moisture gradient [low (drought), medium and high (well-watered) moisture levels] with and without intraspecific competition. At harvest, we measured nine above- and five below-ground traits of all seedlings based on standard protocols. In response to the soil moisture gradient, above-ground traits are found to be consistent with the leaf economics spectrum, whereas below-ground traits are inconsistent with the root economics spectrum. We found high specific leaf area and total leaf area in well-watered conditions, while high leaf dry matter content, leaf thickness and stem dry matter content were observed in drought conditions. However, below-ground traits showed contrasting patterns, with high specific root length but low root branching index in the low water treatment. The correlations between above- and below-ground traits across the soil moisture gradient were variable, i.e. specific leaf area was positively correlated with specific root length, while it was negatively correlated with root average diameter across moisture levels. However, leaf dry matter content was unexpectedly positively correlated with both specific root length and root branching index. Intraspecific competition has influenced both above- and below-ground traits, but interacted with soil moisture to affect only below-ground traits. Consistent with functional equilibrium theory, more biomass was allocated to roots under drought conditions, and to leaves under sufficient soil moisture conditions. Our results indicate that the response of below-ground traits to plant intraspecific competition and soil moisture conditions may not be inferred using above-ground traits, suggesting that multiple resource use axes are needed to understand plant ecological strategies. Lack of consistent leaf-root trait correlations across the soil moisture gradient highlight the multidimensionality of plant trait relationships which needs more exploration.

Making sense of trans-translating in blogger subtitling: a netnographic approach to translanguaging on a Chinese microblogging site

Abstract The online digital sphere has recently witnessed a rapid growing of amateur audiovisual translation, which not only reinvigorates the current body of translation scholarship but also calls for a paradigm shift from the entrenched monolingualism. Though a plethora of studies have been conducted on fansubbing, little is known about blogger subtitling. Drawing on the netnographic data from a subtitling video blogger, @暴躁鸭仔 (baozao yazai, Grumpy Duckling for English) on a microblogging site (Weibo) in the mainland of China, we explored trans-translating by examining the translanguaging involved in the blogger’s subtitling translation. It is revealed that the blogger makes a hybrid, integrated use of multiple semiotic, orthographic, discursive and modal resources, without being confined by the boundaries amongst nameable languages, or linguistic/non-linguistic codes. The orchestration of the unified heterolingual repertoire builds up a social-media translanguaging space, wherein the tensions between translation and translanguaging due to distinct conceptual schemas are manipulated to yield synergy insofar as they dovetail into ingenious language making. We concluded that such creative translation can be retheorized as a process of trans-translating to encapsulate the subtitling experience in light of its dynamic and fluid nature, and transformative power of translanguaging. The results of this research might add to the picture of amateur subtitling and translation and that of translanguaging as well as their relation to one another.

Irrigated Agriculture and Farmer Behaviour in the Indus Basin – Analysis of Scale Fitness

Policies for water governance are often designed to operate along administrative boundaries while intended policy outcomes are expected at larger, often basin scale, thus creating an inherent scale mismatch between policy design and implementation. The question of which scale of policy is important is often evaded given the potential for complexity brought on by political boundaries that either compete with resource boundaries or totally disregard them. We argue that the underlying structural problems between policy design and successful implementation are due to the lack of scale-based thinking of behaviours of a range of actors – from farmers as water users to irrigation managers at subnational to policy makers in the national capital. Such scale mismatch generates inefficiencies and inequities that must be recognized and resolved for meaningful policy impact. Using the Scale-Descale-Rescale (SDR) analysis, we unpack policies across multiple governance and resource use scales to show how scale mismatch interplays using primary data from farmers. We establish that ignoring scale mismatch in critical assumptions of policy design and implementation arrangements is hindering full realization of policy outcomes. We identify specific areas of adjustment for an improved outcome of policy objectives.

ICT and music technology during COVID-19: Australian music educator perspectives.

The COVID-19 pandemic forced music teachers to modify their practice as delivery moved online in education settings around the globe. This article forms part of our wider study, Re-imaging the future: Music teaching and learning, and ICT in blended environments in Australia, that commenced in March 2021. In this article, the authors analyze and discuss Australian music teachers' perceptions of confidence, preference, and usage of music technologies, combined with Information and Communication Technologies (ICT) while teaching during COVID-19. Employing a quantitative methodology from data collected using an anonymous survey (N = 105), they report on teachers' attitudinal responses about ICT devices, confidence, and technology usage. The findings outline descriptive and correlational analyses between ICT use and teachers' integration of various devices, software, and related music technologies. The data show that teachers adapted their practice during this time of uncertainty, reporting increased confidence, application, and ICT usage. Data revealed an increase in the use of multiple technologies, resources, and software, which became an essential component of online teaching. The article concludes with recommendations for a longitudinal study of ICT usage in music education across Australia, accompanied by suggestions for increased professional learning, initial teacher training, changes in practice, and contingencies to sustain online learning into the future.

Evaluating the Design and Teaching Effect of College Mobile English Learning Using Deep Learning Technique

Mobile learning has emerged as a popular model for the teaching and learning process, which can also be described as a modernised version of the traditional classroom learning process. As modern education has been implemented, the educational level of both students and teachers has improved. This advancement is made possible by increased knowledge of how to use mobile technology with the Internet. In this study, a multiprocessor learning-based CNN algorithm is proposed to improve students’ English language speaking fluency. Additionally, the students and the teachers are considered available in the remote area, and the communication between them is done through an interactive system. The model is designed to focus on a teacher-centric perspective, in which the teacher has to make use of multiple resources or applications to perform an easier understanding of the course for the students. Hence, an intelligent system is designed to make the learning processes successful. The results show that the proposed algorithm works well in improving the teaching efficiency of mobile English learning. It also revealed that the accuracy level of the learning system used by college and university students has increased by 10%.