Massey Research Online - Browsing by Author "Li M"

Browsing by Author "Li M"

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A Review of Technology Enhanced Chinese Character Teaching and Learning in a Digital Context
(University of Hawaii National Foreign Language Resource Center; Center for Language & Technology, 2023-10-02) Li M; Dorothy C; Heift T
The acquisition of Chinese characters has been widely acknowledged as challenging for learners of Chinese as a foreign language (CFL) due to their unique logographic nature and the time and effort involved. However, recent advancements in instructional technologies demonstrate a promising role in facilitating the teaching and learning of Chinese characters. This paper examines studies exploring technology-enhanced character teaching and learning (TECTL) through a systematic literature review of relevant publications produced between 2010 and 2021. The synthesised ﬁndings shed insights on the research undertaken in the TECTL field, identifying a focus on characters’ component disassembling, re-assembling, and associations among orthography, semantics, and phonology. In addition, learners’ perceptions towards the use of technology and the benefits of various types of technological tools are also discussed in detail. Implications for TECTL were also put forward for future pedagogical practice and exploration.
An improved method for monitoring multiscale plant species diversity of alpine grassland using UAVs: A case study in the source region of the Yellow River, China
(Frontiers Media, 9/06/2022) Sun Y; Yuan Y; Luo Y; Ji W; Bian Q; Zhu Z; Wang J; Qin Y; He XZ; Li M; Yi S
Plant species diversity (PSD) is essential in evaluating the function and developing the management and conservation strategies of grassland. However, over a large region, an efficient and high precision method to monitor multiscale PSD (α-, β-, and γ-diversity) is lacking. In this study, we proposed and improved an unmanned aerial vehicle (UAV)-based PSD monitoring method (UAVB) and tested the feasibility, and meanwhile, explored the potential relationship between multiscale PSD and precipitation on the alpine grassland of the source region of the Yellow River (SRYR), China. Our findings showed that: (1) UAVB was more representative (larger monitoring areas and more species identified with higher α- and γ-diversity) than the traditional ground-based monitoring method, though a few specific species (small in size) were difficult to identify; (2) UAVB is suitable for monitoring the multiscale PSD over a large region (the SRYR in this study), and the improvement by weighing the dominance of species improved the precision of α-diversity (higher R 2 and lower P values of the linear regressions); and (3) the species diversity indices (α- and β-diversity) increased first and then they tended to be stable with the increase of precipitation in SRYR. These findings conclude that UAVB is suitable for monitoring multiscale PSD of an alpine grassland community over a large region, which will be useful for revealing the relationship of diversity-function, and helpful for conservation and sustainable management of the alpine grassland.
Application of Absorption and Scattering Properties Obtained through Image Pre-Classification Method Using a Laser Backscattering Imaging System to Detect Kiwifruit Chilling Injury
(MDPI (Basel, Switzerland), 2021-06-22) Yang Z; Li M; East AR; Zude-Sasse M; Ruiz-Altisent M; Diezma B
Kiwifruit chilling injury (CI) damage occurs after long-term exposure to low temperature. A non-destructive approach to detect CI injury was tested in the present study, using a laser backscattering image (LBI) technique calibrated with 56 liquid phantoms for providing absorption coefficient (µa) and reduced scattering coefficient (µs'). Calibration of LBI resulted in a true-positive (TP) classification of 91.5% and 65.6% of predicted µs' and µa, respectively. The optical properties of 'SunGold™'and 'Hayward' kiwifruit were analysed at 520 nm with a two-step protocol capturing pre-classification according to the LBI parameters used in the calibration and estimation with the Farrell equation. Severely injured kiwifruit showed white corky tissue and water soaking, reduced soluble solids content and firmness measured destructively. Non-destructive classification results for 'SunGold™' showed a high percentage of TP for severe CI of 92% and 75% using LBI parameters directly and predicted µa and µs' after pre-classification, respectively. The classification accuracy for severe CI 'Hayward' kiwifruit with LBI parameter was low (58%) and with µa and µs' decreased further (35%), which was assumed to be due to interference caused by the long trichomes on the fruit surface.
Comparative evaluation of pumice as a soilless substrate for indoor Rubus idaeus L. cultivation
(Taylor and Francis Group on behalf of the Royal Society of New Zealand, 2024-07-21) Zhao R; Sofkova-Bobcheva S; Cartmill DL; Hardy D; Zernack A; Li M
Pumice is an abundant natural resource in New Zealand and its application in horticulture could save significant costs. To investigate the effect of pumice substrates on raspberry growth and fruit quality, two dwarfing selections (sel.8 and sel.110) were grown hydroponically in (1) coconut coir (control); (2) pumice; (3) pumice/coir (50/50 v/v); (4) pumice/flax (50/50 v/v). Results showed that the addition of pumice to coir significantly increased bulk density, which provided better root anchor support for plants, and also increased the water holding capacity (WHC). Pure pumice had a higher bulk density and lower porosity compared to the other tested substrates, which enhanced fruit quality and yield, although the vegetative growth was slightly lower compared to the control. Mixed pumice/flax substrate had the lowest porosity and poorer WHC, resulting in inferior raspberry growth vigour and productivity. Our results furthermore suggested different substrates could affect the one-year-old cane height, crop yield and fruit characteristics. Pumice was more suitable for sel.8, while the pumice/coir mixture promoted a higher yield for sel.110. In conclusion, pumice and pumice-based mix substrates can be successfully used for hydroponic dwarfing raspberry production without compromising yield and fruit quality.
Factors affecting Chinese short-term international students’ cross-cultural adaptation in psychology, learning, and life
(Hindawi, 20/08/2022) Zhang H; Li M
Although Chinese international students’ cross-cultural adaptation has achieved intense research, factors in developing Chinese SISs’ cross-cultural adaptation remain under-researched. This study examined the factors through a survey of Chinese SISs’ transitional adaptation in psychology, life, and learning. Mixed-method research was conducted: a survey of 155 SISs from a top Chinese university undertaking study across 16 countries and in-depth interviews with 15 SISs. Results indicate that knowledge of the host country and university, language proficiency, sense of participation, and engagement are the crucial factors in developing Chinese SISs’ cross-cultural adaptation. These factors reveal significant correlations with the students’ adaptive performances in psychology, life, and learning. However, the factor of duration indicates no significant correlation with students’ cross-cultural adaptation, which demonstrates an inconsistency with the previous studies. The findings of this study highlight the need for developing Chinese SISs’ sense of engagement, enhancing the language training, and building up the knowledge of the host cultures previous to the study abroad.
Language endangerment and the linguistic vitality of Miao in China: Cultural shifts and revitalisation strategies
(Taylor and Francis Group, 2024-10-03) Li M; Croucher S; Shen L
This study applies ethnolinguistic vitality (EV) theory to analyse the diminishing proficiency and usage of the Miao language among its speakers in Guizhou, China. Forty-five Miao participated in the semi-structured interviews for this project. The study identified the language’s endangered status characterised by low vitality, Mandarin dominance, declining proficiency, and economic-cultural shifts. Media influence exacerbated these threats, while negative perceptions of Miao linguistic capital and inadequate educational resources further endanger the language. Integrating EV theory, this study informs targeted revitalisation efforts crucial for ensuring the sustainability of the Miao language amidst socio-economic pressures favouring Mandarin dominance in China.
Non-destructive firmness assessment of ‘SunGold’ kiwifruit a three-year study
(Taylor and Francis Group on behalf of the Royal Society of New Zealand, 2024-02-14) Sneddon T; Rivera S; Li M; Heyes J; East A; Golding J
Kiwifruit (Actinidia chinensis var. chinensis) firmness is routinely measured in a destructive manner for decision-making purposes. Thus, a population’s quality is inferred by measuring a sample from that population. Consequently, studies have investigated non-destructive techniques for measuring fruit firmness. However, most of these studies have been restricted to a single season or focused on performance over long-term storage. This work compared non-destructive compression (1 mm deformation) and acoustic stiffness with flesh firmness measured with a penetrometer across three seasons. ‘SunGold’ kiwifruit were harvested from 11, 9 and 3 orchards on multiple occasions in 2020, 2021 and 2022, respectively. Kiwifruit was freighted to Palmerston North and assessed on arrival. Thirty fruit per orchard were measured on lab arrival, whilst 24 fruit per orchard were stored for two weeks at 0°C prior to assessment. The non-destructive methods had a strong (r2 > 0.89–0.92) segmented correlation with flesh firmness (0.52–10 kgf). Flesh firmness could be adequately estimated with the non-destructive methods within a season. However, segmented regression performance was reduced when predicting for a season outside of the training population. Nonetheless, these non-destructive methods may be useful for estimating flesh firmness at harvest and after short-term storage (2 weeks at 0 °C).
Predicting the distribution of oxytropis ochrocephala bunge in the source region of the yellow river (China) based on uav sampling data and species distribution model
(1/12/2021) Zhang X; Yuan Y; Zhu Z; Ma Q; Yu H; Li M; Ma J; Yi S; He XZ; Sun Y
Oxytropis ochrocephala Bunge is an herbaceous perennial poisonous weed. It severely affects the production of local animal husbandry and ecosystem stability in the source region of Yellow River (SRYR), China. To date, however, the spatiotemporal distribution of O. ochrocephala is still unclear, mainly due to lack of high-precision observation data and effective methods at a regional scale. In this study, an efficient sampling method, based on unmanned aerial vehicle (UAV), was proposed to supply basic sampling data for species distribution models (SDMs, BIOMOD in this study). A total of 3232 aerial photographs were obtained, from 2018 to 2020, in SRYR, and the potential and future distribution of O. ochrocephala were predicted by an ensemble model, consisting of six basic models of BIOMOD. The results showed that: (1) O. ochrocephala mainly distributed in the southwest, middle, and northeast of the SRYR, and the high suitable habitat of O. ochrocephala accounted for 3.19%; (2) annual precipitation and annual mean temperature were the two most important factors that affect the distribution of O. ochrocephala, with a cumulative importance of 60.45%; and (3) the distribution probability of O. ochrocephala tends to increase from now to the 2070s, while spatial distribution ranges will remain in the southwest, middle, and northeast of the SRYR. This study shows that UAVs can potentially be used to obtain the basic data for species distribution modeling; the results are both beneficial to establishing reasonable management practices and animal husbandry in alpine grassland systems.
Re-entry cultural adaptation of foreign-educated academics at Chinese universities
(Immigrantinstitutet, 1/12/2020) Li M; Croucher S; Wang M
This study investigates the re-entry acculturative experiences and challenges facing foreign-educated returnees working at Chinese universities. Fifteen returnees from five universities in a southwestern province of China participated in semi-structured interviews. The study, using the ABC theoretical framework, highlights the acculturative process of returned academics in terms of role expectations, transformed identities, and cultural learning. The process involves challenges and unmet expectations, including low salaries, heavy workloads, unsupportive administrative bureaucracy, political control, and lack of a healthy academic community culture. The findings show that re-entry acculturation is a never-ending process. Returnees need constantly to realign their expectations and to negotiate and reinterpret shifting realities.
Segregation of ‘Hayward’ kiwifruit for storage potential using Vis-NIR spectroscopy
(Elsevier BV, 2022-07) Li M; Pullanagari R; Yule I; East A
Kiwifruit are often harvested unripe and kept in local coolstores for extended periods of time before being marketed. Many pre-harvest factors contribute to variation in fruit quality at harvest and during coolstorage, resulting in the difficulty in segregating fruit for their storage potential. The ability to forecast storage potential, both within and between populations of fruit, could enable segregation systems to be implemented at harvest to assist with inventory decision making and improve profitability. Visible-near infrared (Vis-NIR) spectroscopy is one of the most commonly used non-destructive techniques for estimation of internal quality of kiwifruit. Whilst many previous attempts focused on instantaneous quantification of quality attributes, the objective of this work was to investigate the use of Vis-NIR spectroscopy utilised at harvest to qualitatively forecast storage potential of individual or batches of kiwifruit. Commercially sourced ‘Hayward’ kiwifruit capturing large variability of storability were measured non-destructively at harvest using Vis-NIR spectrometer, and then assessed at 75, 100, 125 and 150 days after coolstorage at 0 °C. Machine learning classification models were developed using at-harvest Vis-NIR spectral data, to segregate storability of kiwifruit into two groups based on the export FF criterion of 9.8 N. The best prediction was obtained for fruit stored at 0 °C for 125 days: approximately 54% of the soft fruit (short storability) and 79% of the good fruit (long storability) could be predicted. Further novelty of this work lies within an independent external validation using data collected from a new season. Kiwifruit were repacked at harvest based on their potential storability predicted by the developed model, with the actual post-storage performance of the same fruit assessed to evaluate model robustness. Segregation between grower lines at harvest achieved 30% reduction in soft fruit after storage. Should the model be applied in the industry to enable sequential marketing, significant costs could be saved because of reduced fruit loss, repacking and condition checking costs.
Soil Microbial Community Composition and Diversity Are Insusceptible to Nitrogen Addition in a Semi-Arid Grassland in Northwestern China
(MDPI (Basel, Switzerland), 2023-10-11) Tuo H; Li M; Ghanizadeh H; Huang J; Yang M; Wang Z; Wang Y; Tian H; Ye F; Li W; Monokrousos N
Human-caused nitrogen (N) deposition is a global environmental issue that can change community composition, functions, and ecosystem services. N deposition affects plants, soil, and microorganisms regionally and is linked to ecosystem, soil, and climate factors. We examined the effects of six N addition levels (0, 2.34 g, 4.67, 9.34,18.68, and 37.35 g N m−2 yr−1) on aboveground vegetation, surface soil properties, and microbial community. Alterations in microbial communities in response to N addition were monitored using 16S rRNA (16S ribosomal ribonucleic acid, where S donates a sedimentation coefficient) and ITS (internal transcribed spacer) regions for bacterial and fungal communities, respectively. N addition positively affected aboveground vegetation traits, such as biomass and community weighted mean of leaf nitrogen. N addition also limited phosphorus (P) availability and altered the microbial community assembly process from random processes to deterministic processes. The microbial community diversity and composition, however, were not sensitive to N addition. Partial least squares structural equation models showed that the composition of bacterial communities was mainly driven by the composition of plant communities and total nitrogen, while the composition of fungal communities was driven by soil pH and community weighted mean of leaf nitrogen. Taken together, the results of this research improved our understanding of the response of grassland ecosystems to N deposition and provided a theoretical basis for grassland utilization and management under N deposition.
The impact of ChatGPT on teaching and learning in higher education: Challenges, opportunities, and future scope
(IGI Global, 2024-04-01) Li M; Khosrow-Pour MDBA
The integration of OpenAI's ChatGPT is reshaping higher education by transforming teaching and learning dynamics. This article delves into ChatGPT's impact, exploring opportunities, challenges, and future potential. ChatGPT's deployment in higher education offers interactive and adaptive classrooms, enabling personalized learning experiences. Educators use ChatGPT to enhance engagement, critical thinking, and tailor content, fostering innovative teaching. However, integrating ChatGPT also introduces challenges, including plagiarism detection concerns due to AI-generated assignments and potential impacts on writing skills and independent thinking. Addressing misinformation risks from AI content requires responsible usage guidelines. Looking forward, ChatGPT holds promise in higher education, as AI-enhanced collaborative classrooms redefine teaching. The symbiosis of ChatGPT with human instructors enhances effectiveness, providing real-time insights and boosting student engagement.
The responses of ‘Hayward’ kiwifruit to ethylene during regular and controlled atmosphere storage
(Taylor and Francis Groupon behalf of the Royal Society of New Zealand, 2024-05-08) Han Y; Heyes J; Glowacz M; Nicholson S; Jeffery P; East A; Li M
Maintaining kiwifruit firmness is key to global supply chain. Controlled atmosphere (CA) technology can maintain kiwifruit quality. However, there is a risk of ethylene (C2H4) accumulation in CA that may accelerate kiwifruit softening. The objectives of this study were to determine the impact of ethylene on kiwifruit quality in CA. ‘Hayward’ kiwifruit were stored in air and CA (5% CO2 + 2% O2) at 0°C, 95% RH for 13 weeks. Ethylene at concentrations of 10, 100, 1000 nL·L−1 was added after 3 weeks of storage. The responses of kiwifruit to ethylene were dose-dependent in both air and CA storage. Ethylene-induced kiwifruit softening was delayed and slowed by CA. However, white-core inclusions (WCI) disorder was observed after 8 weeks of exposure to 100 and 1000 nL·L−1 ethylene in CA. The lowest concentrations of ethylene (≤ 10 nL·L−1) in CA did not influence kiwifruit quality. This work demonstrates that kiwifruit sensitivity to ethylene is lower in CA than that in air, but excessive softening and WCI may negatively impact kiwifruit quality when exposed to a high ethylene concentration in CA for extended periods. Hence, ethylene monitoring and management may be less critical in kiwifruit stored in CA but are required.
Understanding changes of laser backscattering imaging parameters through the kiwifruit softening process using time series analysis
(Taylor and Francis Group on behalf of the Royal Society of New Zealand, 2024-05-12) Yang Z; Li M; East A; Zude-Sasse M; Gould N
During kiwifruit storage, quality monitoring is required for inventory planning and consistent quality maintenance. Commercial near-infrared (NIR) spectrophotometers showed reduced performance in the estimation of kiwifruit flesh firmness (FF) as the FF estimation is indirect and can be affected when both, textural structures and absorbing compounds, change during postharvest ripening. Laser backscattering imaging (LBI) records the backscattered signal after a single laser beam interacts with kiwifruit tissue, including merged information on light absorption and scattering. Measurements were carried out at 830 nm, where scattering is most dominant. In this work, time series of kiwifruit ‘Zesy002’ (n = 30) and ‘Hayward’ (n = 30) LBI were collected through the postharvest ripening during a 15-day shelf life at 20°C. Four LBI parameters capturing DIP, FWHM, SLP and HWQM were selected in this study. ‘‘Zesy002’ DIP, FWHM, SLP, and HWQM increased approx. 0.6 cm, 0.2 cm, 0.3 and 0.14 cm, respectively. ‘Hayward’ LBI increased approx. 0.2 cm, 0.1 cm, 0.2 and 0.04 cm, respectively. Different initial LBI values between cultivars and LBI changes may reflect the actual stage of softening, affected by kiwifruit ripeness. In conclusion, time series analysis could be useful in describing kiwifruit LBI change during ripening and making forecasts.

Browsing by Author "Li M"

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