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Assessing agreement in measurements of orthodontic study models: Digital caliper on plaster models vs 3-dimensional software on models scanned by structured-light scanner

Wan Hassan WN, Othman SA, Chan CS, Ahmad R, Ali SN, Abd Rohim A

Am J Orthod Dentofacial Orthop, 2016 Nov;150(5):886-895.
PMID: 27871715 DOI: 10.1016/j.ajodo.2016.04.021

INTRODUCTION: In this study we aimed to compare measurements on plaster models using a digital caliper, and on 3-dimensional (3D) digital models, produced using a structured-light scanner, using 3D software.
METHODS: Fifty digital models were scanned from the same plaster models. Arch and tooth size measurements were made by 2 operators, twice. Calibration was done on 10 sets of models and checked using the Pearson correlation coefficient. Data were analyzed by error variances, repeatability coefficient, repeated-measures analysis of variance, and Bland-Altman plots.
RESULTS: Error variances ranged between 0.001 and 0.044 mm for the digital caliper method, and between 0.002 and 0.054 mm for the 3D software method. Repeated-measures analysis of variance showed small but statistically significant differences (P <0.05) between the repeated measurements in the arch and buccolingual planes (0.011 and 0.008 mm, respectively). There were no statistically significant differences between methods and between operators. Bland-Altman plots showed that the mean biases were close to zero, and the 95% limits of agreement were within ±0.50 mm. Repeatability coefficients for all measurements were similar.
CONCLUSIONS: Measurements made on models scanned by the 3D structured-light scanner were in good agreement with those made on conventional plaster models and were, therefore, clinically acceptable.
Fulltext Agro-climatic sensitivity analysis for sustainable crop diversification; the case of Proso millet (Panicum miliaceum L.)

Wimalasiri EM, Ashfold MJ, Jahanshiri E, Walker S, Azam-Ali SN, Karunaratne AS

PLoS One, 2023;18(3):e0283298.
PMID: 36952502 DOI: 10.1371/journal.pone.0283298

Current agricultural production depends on very limited species grown as monocultures that are highly vulnerable to climate change, presenting a threat to the sustainability of agri-food systems. However, many hundreds of neglected crop species have the potential to cater to the challenges of climate change by means of resilience to adverse climate conditions. Proso millet (Panicum miliaceum L.), one of the underutilised minor millets grown as a rainfed subsistence crop, was selected in this study as an exemplary climate-resilient crop. Using a previously calibrated version of the Agricultural Production Systems Simulator (APSIM), the sensitivity of the crop to changes in temperature and precipitation was studied using the protocol of the Coordinated Climate Crop Modelling Project (C3MP). The future (2040-2069) production was simulated using bias-corrected climate data from 20 general circulation models of the Coupled Model Intercomparison Project (CMIP5) under RCP4.5 and 8.5 scenarios. According to the C3MP analysis, we found a 1°C increment of temperature decreased the yield by 5-10% at zero rainfall change. However, Proso millet yields increased by 5% within a restricted climate change space of up to 2°C of warming with increased rainfall. Simulated future climate yields were lower than the simulated yields under the baseline climate of the 1980-2009 period (mean 1707 kg ha-1) under both RCP4.5 (-7.3%) and RCP8.5 (-16.6%) though these changes were not significantly (p > 0.05) different from the baseline yields. Proso millet is currently cultivated in limited areas of Sri Lanka, but our yield mapping shows the potential for expansion of the crop to new areas under both current and future climates. The results of the study, indicating minor impacts from projected climate change, reveal that Proso millet is an excellent candidate for low-input farming systems under changing climate. More generally, through this study, a framework that can be used to assess the climate sensitivity of underutilized crops was also developed.
Fulltext Datasets for the development of hemp (Cannabis sativa L.) as a crop for the future in tropical environments (Malaysia)

Wimalasiri EM, Jahanshiri E, Syaherah TA, Kuruppuarachchi N, Chimonyo VGP, Azam-Ali SN, et al.

Data Brief, 2022 Feb;40:107807.
PMID: 35071705 DOI: 10.1016/j.dib.2022.107807

An evidence base was developed to facilitate adoption of hemp (Cannabis sativa L.) in tropical environments (Wimalasiri et al. (2021)). Agro-ecological requirements data of hemp were acquired from international databases and was contrasted against local climate and soil conditions using an augmented species ecological niche modeling. The outputs were then used to map the suitability for all locations for 12 possible calendar-year seasons within peninsular Malaysia. The most probable seasonal map was then used to generate a land suitability map for agricultural areas across 5 standard land suitability categories. Having developed the general suitability maps of hemp in Malaysia, detailed crop growth data were collected from literature and was then used to simulate an ideotype crop model (for both seed and fiber) for selected locations across Malaysia, where detailed daily climate data and soil information were available. Following the development of a downscaled future climate dataset, a simulated dataset of yield for the future conditions were also developed. Next, the simulated seed and fiber yield data were used to create yield maps for hemp across peninsular Malaysia. An economic value and cost-benefit analyses were also carried out using data that were collected from literature and local sources to simulate the true cost and benefit of growing hemp both for now and future conditions. This data provides the first ever evidence base for an underutilized crop in Southeast Asia. All data that was generated using the proposed published framework for the adoption of hemp in the future are stored in their original format in an online repository and is described in this article. The data can be used to map the suitability at finer scales, analyze and re-calibrate a yield model using any climate scenario and evaluate the economics of production using the standard methodology described in the above-mentioned publication.
Fulltext A comparative study of anxiety and depression among healthcare workers and non-healthcare workers in Johor, Malaysia during the Covid-19 era

Wong JW, Tan JH, Abraham RE, Jauhar Ali SN, Kok SY, Tan HCL, et al.

Medicine (Baltimore), 2024 Mar 22;103(12):e37415.
PMID: 38518019 DOI: 10.1097/MD.0000000000037415

The outbreak of Coronavirus disease 2019 (Covid-19) has a significant impact on the mental health of the global population. Updates are needed regarding the mental health status among the local population since limited studies were done so far. This research compared the prevalence of anxiety and depression symptoms among HCWs and non-HCWs. We also evaluated the factors associated with anxiety and depression symptoms among these 2 groups. This was a cross-sectional study conducted between September to December 2022. Online questionnaire was distributed to HCWs from 2 tertiary government hospitals. Non-HCWs from various occupational fields were recruited randomly. Generalised Anxiety Disorder 7 (GAD-7) and Patient Health Questionnaire 9 (PHQ-9) were used to screen for anxiety and depression symptoms respectively. Data were analyzed using IBM SPSS version 28.0. 200 questionnaires were distributed to HCWs and non-HCWs respectively. The response rate was 74.5% from HCWs and 82.5% from non-HCWs (P = .07). A total of 236 individuals (105 HCWs and 131 non-HCWs) were included in the study. Majority were female, married, highly educated and worked more than 8 hours per day. There was no significant difference for the prevalence of anxiety (37.2% vs 44.3%, P = .34) and depression symptoms (37.3% vs 35.1%, P = .75) between HCWs and non-HCWs. Among HCWs, poor workplace support (P = .009) and low income (P = .04) were associated with anxiety symptoms. Younger age (P = .02), single status (P = .01) and poor workplace support (P = .006) were associated with depression symptoms. More non-HCWs with a higher educational level were having anxiety and depression symptoms. Single status (P = .03), working away from home (P = .02), poor family support (P = .03) and quarantine as Covid-19 close contact (P = .04) were also associated with depression symptoms among non-HCWs. There is no significant difference between HCWs and non-HCWs experiencing possible anxiety or depressive symptoms in this study. However, attention should be paid to address associated factors identified among each group to promote good mental health.
Crops For the Future (CFF): an overview of research efforts in the adoption of underutilised species

Gregory PJ, Mayes S, Hui CH, Jahanshiri E, Julkifle A, Kuppusamy G, et al.

Planta, 2019 Sep;250(3):979-988.
PMID: 31250097 DOI: 10.1007/s00425-019-03179-2

MAIN CONCLUSION: Crops For the Future (CFF), as an entity, has established a broad range of research activities to promote the improvement and adoption of currently underutilised crops. This paper summarises selected research activities at Crops For the Future (CFF) in pursuit of its mission 'to develop solutions for diversifying future agriculture using underutilised crops'. CFF is a research company focussed on the improvement of underutilised crops, so that they might be grown and consumed more widely with benefits to human food and nutritional security; its founding guarantors were the Government of Malaysia and the University of Nottingham. From its base in Malaysia, it engages in research around the world with a focus on species and system diversification. CFF has adopted a food system approach that adds value by delivering prototype food, feed and knowledge products. Bambara groundnut (Vigna subterranea) was adopted as an exemplar crop around which to develop CFF's food system approach with emphasis on the short-day photoperiod requirement for pod-filling and the hard-to-cook trait. Selective breeding has allowed the development of lines that are less susceptible to photoperiod but also provided a range of tools and approaches that are now being exploited in other crops such as winged bean (Psophocarpus tetragonolobus), amaranth (Amaranthus spp.), moringa (Moringa oleifera) and proso (Panicum miliaceum) and foxtail (Setaria italica) millets. CFF has developed and tested new food products and demonstrated that several crops can be used as feed for black soldier fly which can, in turn, be used to feed fish thereby reducing the need for fishmeal. Information about underutilised crops is widely dispersed; so, a major effort has been made to develop a knowledge base that can be interrogated and used to answer practical questions about potential exploitation of plant and nutritional characteristics. Future research will build on the success with Bambara groundnut and include topics such as urban agriculture, rural development and diversification, and the development of novel foods.
Fulltext Emergence of mRNA vaccines in the management of cancer

Mohamad Razif MI, Nizar N, Zainal Abidin NH, Muhammad Ali SN, Wan Zarimi WNN, Khotib J, et al.

Expert Rev Vaccines, 2023;22(1):629-642.
PMID: 37401128 DOI: 10.1080/14760584.2023.2232450

INTRODUCTION: mRNA vaccines have been developed as a promising cancer management. It is noted that specification of the antigen sequence of the target antigen is necessary for the design and manufacture of an mRNA vaccine.
AREAS COVERED: The steps involved in preparing the mRNA-based cancer vaccines are isolation of the mRNA cancer from the target protein using the nucleic acid RNA-based vaccine, sequence construction to prepare the DNA template, in vitro transcription for protein translation from DNA into mRNA strand, 5' cap addition and poly(A) tailing to stabilize and protect the mRNA from degradation and purification process to remove contaminants produced during preparation.
EXPERT OPINION: Lipid nanoparticles, lipid/protamine/mRNA nanoparticles, and cell-penetrating peptides have been used to formulate mRNA vaccine and to ensure vaccine stability and delivery to the target site. Delivery of the vaccine to the target site will trigger adaptive and innate immune responses. Two predominant factors of the development of mRNA-based cancer vaccines are intrinsic influence and external influence. In addition, research relating to the dosage, route of administration, and cancer antigen types have been observed to positively impact the development of mRNA vaccine.
Bambara groundnut: an exemplar underutilised legume for resilience under climate change

Mayes S, Ho WK, Chai HH, Gao X, Kundy AC, Mateva KI, et al.

Planta, 2019 Sep;250(3):803-820.
PMID: 31267230 DOI: 10.1007/s00425-019-03191-6

MAIN CONCLUSION: Bambara groundnut has the potential to be used to contribute more the climate change ready agriculture. The requirement for nitrogen fixing, stress tolerant legumes is clear, particularly in low input agriculture. However, ensuring that existing negative traits are tackled and demand is stimulated through the development of markets and products still represents a challenge to making greater use of this legume. World agriculture is currently based on very limited numbers of crops, representing a significant risk to food supplies, particularly in the face of climate change which is expected to increase the frequency of extreme events. Minor and underutilised crops can help to develop a more resilient and nutritionally dense future agriculture. Bambara groundnut [Vigna subterranea (L.) Verdc.[, as a drought resistant, nitrogen-fixing, legume has a role to play. However, as with most underutilised crops, there are significant gaps in knowledge and also negative traits such as 'hard-to-cook' and 'photoperiod sensitivity to pod filling' associated with the crop which future breeding programmes and processing methods need to tackle, to allow it to make a significant contribution to the well-being of future generations. The current review assesses these factors and also considers what are the next steps towards realising the potential of this crop.