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Fulltext Research landscape on 3D printing applications in healthcare within Southeast Asian countries: a systematic scoping review protocol

Mohd Noor MN, Leow ML, Lai WH, Hon YK, Tiong LL, Chern PM

BMJ Open, 2022 Dec 13;12(12):e065546.
PMID: 36523224 DOI: 10.1136/bmjopen-2022-065546

INTRODUCTION: Three-dimensional (3D) printing plays a significant role as a promising technological advancement in modern healthcare settings. 3D printing has been incorporated by many sectors worldwide including in Southeast Asian countries. However, there is a paucity of research, especially in the healthcare pertaining to 3D printing activity in the Southeast Asian region. Thus, a scoping review is conducted to gain insight into 3D printing healthcare research landscape in the Southeast Asian region.
METHODS AND ANALYSIS: The methodology draws on Arksey and O'Malley's seminal framework for the scoping review. The literature search will be conducted by using keywords to find suitable published literature. The existing literature will be searched using selected electronic databases such as PubMed/MEDLINE, CINAHL, Scopus, ProQuest and Web of Science from the years 2011 and 2021. The selected publications will focus on 10 Southeast Asian countries: Malaysia, Indonesia, Singapore, Thailand, Brunei, Philippines, Laos, Vietnam, Cambodia and Myanmar. Two reviewers will be performing title and abstract screening for the criteria of each publication, in which they will be working independently of each other. The included publication will undergo a full-text review and references cited will be examined for relevance using the same inclusion criteria. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow diagram will guide throughout the process. Data will be extracted, analysed and charted within each category from the selected publications for each Southeast Asian country.
ETHICS AND DISSEMINATION: The results of this scoping review will illustrate an overview of the 3D printing healthcare research in the Southeast Asian context, which can be a guide for the advancement of 3D printing that can be accentuated in future research. The results will undergo dissemination which will be submitted for publication in a scientific journal.
Could the academic advisor, intrinsic motivation, and time management influence students' attitudes towards research work on campus?

Miraj M, Chuntian L, Rehman RU, Osei-Bonsu R, Mohd Said R, Ali R, et al.

Work, 2022;73(4):1365-1378.
PMID: 36093656 DOI: 10.3233/WOR-205237

BACKGROUND: Research is essential and necessary for those who love learning, whether they belong to a research institution or not. Numerous elements influence researchers' attitudes towards good research work, but in this study we focus on the most significant ones: advisor support, intrinsic motivation, timing, and planning.
OBJECTIVES: The current study aims at motivating readers to help improve students' attitudes towards research work within the university context.
METHOD: The target demographic of the current research comprises masters and doctoral students from three major public institutions in Xi'an, China. We aimed to examine the effects of the variables and the study employed correlation and stepwise regression.
RESULTS: The results show that advisor support influences attitudes towards research positively and significantly (β= 0.20, p
Fulltext A cross-sectional study of assessing knowledge, attitude, and practice of COVID-19 resuscitation among health care workers in a hybrid hospital for COVID-19 in Malaysia

Mohd Kamil MK, Zambri A, Azizah MA, Noor Azhar AM, Ahmad R

Int Emerg Nurs, 2022 Sep;64:101214.
PMID: 36037702 DOI: 10.1016/j.ienj.2022.101214

BACKGROUND: The COVID-19 pandemic is an international public health emergency. As hospitals receive more severe forms of COVID-19 that necessitate resuscitation, emergency health care workers (HCW) must follow interim COVID-19 resuscitation guidelines.
OBJECTIVE: The aim is to evaluate the levels of knowledge, attitude, and practice among emergency HCW of the COVID-19 resuscitation protocol by the European Resuscitation Council (ERC).
METHODS: A cross-sectional study using a validated questionnaire was conducted among HCW in the emergency department of University of Malaya Medical Centre (UMMC), Malaysia from April to June 2021.
RESULTS: A total of 159 respondents were included in the analysis (89% response rate). Sixty-eight percent of respondents had adequate knowledge regarding COVID-19 resuscitation. Majority of the respondents had knowledge on airborne-precaution personal protective equipment (PPE) (99%) and infection control measures (98%). Nearly 73% were pessimistic about the COVID-19 prognosis. Seventy-three percent of respondents thought an arrested COVID-19 patient may benefit from cardiopulmonary resuscitation (CPR) and 94% were willing to administer CPR provided airborne-precaution PPE was available. Ninety percent of respondents reported adherence to resuscitation guidelines. There were significant differences in the mean knowledge scores between designation, education levels, and COVID-19 training. Overall, the respondents' level of practice was insufficient (27%), with a mean score of 53.7%(SD = 14.7). There was a lack of practicein the resuscitation oftheintubatedand patients who were beingprone. There was insufficient practice about ventilation technique, use ofsupraglotticdevices, and intubation barriers. There was a positive correlation between adequate knowledge and good practice.
CONCLUSION: Emergency HCW have adequate knowledge, but poor compliance to the ERC COVID-19 guidelines. Emergency HCW were willing and confident to resuscitate COVID-19 patients, despite fears of nosocomial infection and expectation of poor patients' prognosis. Ongoing education and trainingprogramsare recommended to improve their knowledge, cultivate a positive attitude, andachievegood compliance with COVID-19 resuscitation guidelines.
Fulltext Asymmetric impact of temperature on COVID-19 spread in India: Evidence from quantile-on-quantile regression approach

Irfan M, Razzaq A, Suksatan W, Sharif A, Madurai Elavarasan R, Yang C, et al.

J Therm Biol, 2022 Feb;104:103101.
PMID: 35180949 DOI: 10.1016/j.jtherbio.2021.103101

The emergence of new coronavirus (SARS-CoV-2) has become a significant public health issue worldwide. Some researchers have identified a positive link between temperature and COVID-19 cases. However, no detailed research has highlighted the impact of temperature on COVID-19 spread in India. This study aims to fill this research gap by investigating the impact of temperature on COVID-19 spread in the five most affected Indian states. Quantile-on-Quantile regression (QQR) approach is employed to examine in what manner the quantiles of temperature influence the quantiles of COVID-19 cases. Empirical results confirm an asymmetric and heterogenous impact of temperature on COVID-19 spread across lower and higher quantiles of both variables. The results indicate a significant positive impact of temperature on COVID-19 spread in the three Indian states (Maharashtra, Andhra Pradesh, and Karnataka), predominantly in both low and high quantiles. Whereas, the other two states (Tamil Nadu and Uttar Pradesh) exhibit a mixed trend, as the lower quantiles in both states have a negative effect. However, this negative effect becomes weak at middle and higher quantiles. These research findings offer valuable policy recommendations.
Inhibitory influence of amino acids on the formation kinetics of methane hydrates in oil-water and oil-brine systems

Almashwali AA, Khan MS, Lal B, Jin QC, Sabil KM, Khor SF

Chemosphere, 2023 Jan;312(Pt 2):137325.
PMID: 36423723 DOI: 10.1016/j.chemosphere.2022.137325

This experimental study evaluates the inhibition performance of kinetic hydrates inhibitors (KHIs) of three amino acids, namely: glycine, proline, and alanine. It includes the performance comparison with the conventional inhibitor i.e., polyvinyl pyrrolidine (PVP) on methane (CH4) hydrate in oil systems in two different systems, i.e., deionized and brine water systems. The experiments were conducted in a high-pressure hydrate reactor replicating subsea pipeline conditions, i.e., the temperature of 274 K, pressure 8 MPa, and concentration of 1 wt%, by applying the isochoric cooling technique. The formation kinetics results suggest that all the studied amino acids effectively worked as kinetic inhibitors by potentially delaying CH4 hydrate formations due to their steric hindrance abilities. The interesting phenomenon was observed that the different studied amino acids behave differently in the brine-oil and deionized water-oil systems due to their side chain interaction. In a deionized water-oil system, glycine gives the highest inhibition performance by reducing the hydrate formation risk. On the contrary, in the brine-oil system, proline showed a significant inhibition effect. It should be noted that both glycine and proline were giving almost similar inhibition performance compared to the conventional hydrate inhibitor PVP, however glycine and proline significantly reduced CH4 consumption into hydrate due to their high surface active under CH4 conditions, which strengths the surface tension of the liquid/CH4 interface. Furthermore, according to the findings, it shows that increased side alkyl chain lengths of amino acids increase the efficacy of their kinetic hydration inhibition performance due to better surface adsorption abilities. The amino acids' ability to suppress growth is also linked strongly with hydrophobicity and alkyl side chain length. The findings of this study contribute significantly to current efforts to limit gas hydrate formation in offshore pipelines, particularly in oil-dominant pipelines.
Combination of Er:YAG laser and CO2 laser treatment on skin tissue

Anayb Baleg SM, Bidin N, Suan LP, Sidi Ahmad MF, Krishnan G, Johari AR, et al.

Photochem Photobiol, 2015 Jan-Feb;91(1):134-8.
PMID: 25327511 DOI: 10.1111/php.12369

Skin is the most important organ in our body, as it protects us from external environmental effects. Study the ability of the skin to stretch and the histological examinations of irradiated tissues have significant values in scientific and medical applications. Only a few studies have been done to study the correlation between epidermis ablation and the changes that occur at dermal levels when using dual lasers in ablative resurfacing mode. The aim of this work is to determine this correlation and to estimate the effects of multiple pulses on induced collagen remodeling and the strength of skin exposed with dual lasers in an in vivo rat model. All laser exposures led to mark improvement in the skin's strength compared to their own controls. The histological investigation indicated that there was a thickness loss in the epidermis layer with the induction of deep collagen coagulation in the dermis layer as the dual laser pulses increased. Additionally, more collagen fibers were remolded in the treated samples by dual wavelengths. We conclude that by combining dual lasers with multiple pulses targeted at not only the epidermis layer of the skin, it could also induce some heat diffusion in the dermis layer which causes more coagulation of collagen fibers. The tensile results confirmed by our histological data demonstrate that the strength of irradiated skin with dual wavelengths increased more than using both lasers separately on the skin tissue since more collagen is induced.
Fulltext Determination of the differentiation capacities of murines' primary mononucleated cells and MC3T3-E1 cells

Yazid MD, Ariffin SH, Senafi S, Razak MA, Wahab RM

Cancer Cell Int, 2010;10:42.
PMID: 20979664 DOI: 10.1186/1475-2867-10-42

The main morphological features of primitive cells, such as stem and progenitor cells, are that these cells consists only one nucleus. The main purpose of this study was to determine the differentiation capacities of stem and progenitor cells. This study was performed using mononucleated cells originated from murine peripheral blood and MC3T3-E1 cells. Three approaches were used to determine their differentiation capacities: 1) Biochemical assays, 2) Gene expression analysis, and 3) Morphological observations.
Fulltext Microwave brain imaging system to detect brain tumor using metamaterial loaded stacked antenna array

Hossain A, Islam MT, Beng GK, Kashem SBA, Soliman MS, Misran N, et al.

Sci Rep, 2022 Oct 01;12(1):16478.
PMID: 36183039 DOI: 10.1038/s41598-022-20944-8

In this paper, proposes a microwave brain imaging system to detect brain tumors using a metamaterial (MTM) loaded three-dimensional (3D) stacked wideband antenna array. The antenna is comprised of metamaterial-loaded with three substrate layers, including two air gaps. One 1 × 4 MTM array element is used in the top layer and middle layer, and one 3 × 2 MTM array element is used in the bottom layer. The MTM array elements in layers are utilized to enhance the performance concerning antenna's efficiency, bandwidth, realized gain, radiation directionality in free space and near the head model. The antenna is fabricated on cost-effective Rogers RT5880 and RO4350B substrate, and the optimized dimension of the antenna is 50 × 40 × 8.66 mm3. The measured results show that the antenna has a fractional bandwidth of 79.20% (1.37-3.16 GHz), 93% radiation efficiency, 98% high fidelity factor, 6.67 dBi gain, and adequate field penetration in the head tissue with a maximum of 0.0018 W/kg specific absorption rate. In addition, a 3D realistic tissue-mimicking head phantom is fabricated and measured to verify the performance of the antenna. Later, a nine-antenna array-based microwave brain imaging (MBI) system is implemented and investigated by using phantom model. After that, the scattering parameters are collected, analyzed, and then processed by the Iteratively Corrected delay-multiply-and-sum algorithm to detect and reconstruct the brain tumor images. The imaging results demonstrated that the implemented MBI system can successfully detect the target benign and malignant tumors with their locations inside the brain.
Fulltext Poly(caprolactone)-b-poly(ethylene glycol)-Based Polymeric Micelles as Drug Carriers for Efficient Breast Cancer Therapy: A Systematic Review

Ahmad Shariff SH, Wan Abdul Khodir WK, Abd Hamid S, Haris MS, Ismail MW

Polymers (Basel), 2022 Nov 10;14(22).
PMID: 36432974 DOI: 10.3390/polym14224847

Recently, drug delivery systems based on nanoparticles for cancer treatment have become the centre of attention for researchers to design and fabricate drug carriers for anti-cancer drugs due to the lack of tumour-targeting activity in conventional pharmaceuticals. Poly(caprolactone)-b-poly(ethylene glycol) (PCL-PEG)-based micelles have attracted significant attention as a potential drug carrier intended for human use. Since their first discovery, the Food and Drug Administration (FDA)-approved polymers have been studied extensively for various biomedical applications, specifically cancer therapy. The application of PCL-PEG micelles in different cancer therapies has been recorded in countless research studies for their efficacy as drug cargos. However, systematic studies on the effectiveness of PCL-PEG micelles of specific cancers for pharmaceutical applications are still lacking. As breast cancer is reported as the most prevalent cancer worldwide, we aim to systematically review all available literature that has published research findings on the PCL-PEG-based micelles as drug cargo for therapy. We further discussed the preparation method and the anti-tumour efficacy of the micelles. Using a prearranged search string, Scopus and Science Direct were selected as the databases for the systematic searching strategy. Only eight of the 314 articles met the inclusion requirements and were used for data synthesis. From the review, all studies reported the efficiency of PCL-PEG-based micelles, which act as drug cargo for breast cancer therapy.
Fulltext Thermal and Mechanical Properties of Concrete Incorporating Silica Fume and Waste Rubber Powder

Lakhiar MT, Kong SY, Bai Y, Susilawati S, Zahidi I, Paul SC, et al.

Polymers (Basel), 2022 Nov 11;14(22).
PMID: 36432983 DOI: 10.3390/polym14224858

Using waste rubber tires for concrete production will reduce the demand for natural aggregate and help to reduce environmental pollution. The main challenge of using waste rubber tires in concrete is the deterioration of mechanical properties, due to poor bonding between rubber and cement matrix. This research aims to evaluate the mechanical and thermal properties of rubberised concrete produced by using different proportions of rubber powder and silica fume. Ordinary Portland cement was partially replaced with silica fume by amounts of 5%, 10%, 15% and 20%, while sand was replaced by 10%, 20% and 30% with waste rubber powder. Tests were carried out in order to determine workability, density, compressive strength, splitting tensile strength, elastic modulus, thermal properties, water absorption and shrinkage of rubberised concrete. The compressive strength and splitting tensile strength of concrete produced using waste rubber powder were reduced by 10-52% and 9-57%, respectively. However, the reduction in modulus of elasticity was 2-36%, less severe than compressive and splitting tensile strengths. An optimum silica fume content of 15% was observed based on the results of mechanical properties. The average shrinkage of concrete containing 15% silica fume increased from -0.051% to -0.085% at 28 days, as the content of waste rubber powder increased from 10% to 30%. While the thermal conductivity of rubberised concrete was reduced by 9-35% compared to the control sample. Linear equations were found to correlate the density, splitting tensile strength, modulus of elasticity and thermal conductivity of concrete with silica fume and waste rubber powder.
Fulltext Phytochemicals and Biological Activities of Garcinia atroviridis: A Critical Review

Shahid M, Law D, Azfaralariff A, Mackeen MM, Chong TF, Fazry S

Toxics, 2022 Oct 29;10(11).
PMID: 36355947 DOI: 10.3390/toxics10110656

Garcinia atriviridis Griff ex T. Anders (G. atroviridis) is one of the well-known species of the genus Garicinia that is native to Thailand, Myanmar, Peninsular Malaysia, and India. G. atroviridis is a perennial medium-sized tree that has a wide range of values, from food to medicinal use. Different parts of G. atroviridis are a great source of bioactive substances that have a positive impact on health. The extracts or bioactive constituents from G. atroviridis have demonstrated various therapeutic functions, including antioxidant, antimicrobial, anticancer, anti-inflammatory, antihyperlipidemic, and anti-diabetic. In this paper, we provide a critical review of G. atroviridis and its bioactive constituents in the prevention and treatment of different diseases, which will provide new insight to explore its putative domains of research.
Fulltext Recent Progress of Electrode Architecture for MXene/MoS2 Supercapacitor: Preparation Methods and Characterizations

Kosnan MA, Azam MA, Safie NE, Munawar RF, Takasaki A

Micromachines (Basel), 2022 Oct 27;13(11).
PMID: 36363860 DOI: 10.3390/mi13111837

Since their discovery, MXenes have conferred various intriguing features because of their distinctive structures. Focus has been placed on using MXenes in electrochemical energy storage including a supercapacitor showing significant and promising development. However, like other 2D materials, MXene layers unavoidably experience stacking agglomeration because of its great van der Waals forces, which causes a significant loss of electrochemically active sites. With the help of MoS2, a better MXene-based electrodecan is planned to fabricate supercapacitors with the remarkable electrochemical performance. The synthesis of MXene/MoS2 and the ground effects of supercapacitors are currently being analysed by many researchers internationally. The performance of commercial supercapacitors might be improved via electrode architecture. This analysis will support the design of MXene and MoS2 hybrid electrodes for highly effective supercapacitors. Improved electrode capacitance, voltage window and energy density are discussed in this literature study. With a focus on the most recent electrochemical performance of both MXene and MoS2-based electrodes and devices, this review summarises recent developments in materials synthesis and its characterisation. It also helps to identify the difficulties and fresh possibilities MXenes MoS2 and its hybrid heterostructure in this developing field of energy storage. Future choices for constructing supercapacitors will benefit from this review. This review examines the newest developments in MXene/MoS2 supercapacitors, primarily focusing on compiling literature from 2017 through 2022. This review also presents an overview of the design (structures), recent developments, and challenges of the emerging electrode materials, with thoughts on how well such materials function electrochemically in supercapacitors.
Impact of increased digital use and internet gaming on nursing students' empathy: A cross-sectional study

Lee WL, Rambiar PNIMS, Rosli NQB, Nurumal MS, Abdullah SSS, Danaee M

Nurse Educ Today, 2022 Dec;119:105563.
PMID: 36150294 DOI: 10.1016/j.nedt.2022.105563

BACKGROUND: The COVID-19 restrictions and quarantines had led to increased dependence and usage of digital devices for various human activities and internet gaming to the extent of risking vulnerable individuals to develop addiction towards it. Little is known on such risks among populations of nursing students and its impact on their empathy skills or trait.
OBJECTIVE: Determining the impact of digital use and internet gaming on empathy of nursing students undergoing remote learning during closure of learning institutions nationwide.
DESIGN: Cross-sectional online survey was conducted from October to December 2020.
SETTINGS: Two established public institutions located in Malaysia.
PARTICIPANTS: A total of 345 nursing students pursuing diploma and bachelor nursing programs.
METHODS: Toronto Empathy Questionnaire (TEQ), Digital Addiction Scale (DAS) and Internet Gaming Disorder Scale-Short form (IGDS9-SF) were self-administered via Google Form™. Following principal component analysis of TEQ using IBM-SPSS™ (V-27), path analyses was performed using SmartPLS™ (V-3).
RESULTS: Despite the increased time spent on digital devices (∆ 2.8 h/day) and internet gaming (∆ 1 h/week) before and during the pandemic, the proportion of high digital users (1.4 %) and gamers (20.9 %) were low; and sizable ≈75 % had higher-than-normal empathy. Digital-related emotions and overuse of them were associated with lower empathy (β = -0.111, -0.192; p values < 0.05) and higher callousness (β = 0.181, 0.131; p values < 0.05); internet gaming addiction predicted callousness (β = 0.265, p
Fulltext Production of single cell oil by Yarrowia lipolytica JCM 2320 using detoxified desiccated coconut residue hydrolysate

Zainuddin MF, Kar Fai C, Mohamed MS, Abdul Rahman N', Halim M

PeerJ, 2022;10:e12833.
PMID: 35251776 DOI: 10.7717/peerj.12833

Nowadays, the replacement of petro-diesel with biodiesel has raised the concern among the community for the utilization of improper feedstocks and the cost involved. However, these issues can be solved by producing single cell oil (SCO) from lignocellulosic biomass hydrolysates by oleaginous microorganisms. This study introduced Yarrowia lipolytica JCM 2320 with a desiccated coconut residue (DCR) hydrolysate (obtained from the 2% dilute sulphuric acid pretreatment) as a carbon source in generating SCO. However, common inhibitors formed during acid pretreatment of biomass such as five-hydroxymethylfurfural (HMF), furfural, acetic acid and levulinic acid resulting from the sugar degradations may have detrimental effects towards the fermentation process. To visualize the effect of inhibitors on Y. lipolytica, an inhibitory study was conducted by adding 0.5-5.0 g/L of potential inhibitors to the YPD (yeast, peptone and D-glucose) medium. It was found that the presence of furfural at 0.5 g/L would increase the lag phase, which beyond that was detrimental to Y. lipolytica. Furthermore, increasing the five-hydroxymethylfurfural (HMF) concentration would increase the lag phase of Y. lipolytica, whereas, for acetic acid and levulinic acid, it showed a negligible effect. Detoxification was hence conducted to remove the potential inhibitors from the DCR hydrolysate prior its utilization in the fermentation. To examine the possibility of using adsorption resins for the detoxification of DCR hydrolysate, five different resins were tested (Amberlite® XAD-4, Amberlite® XAD-7, Amberlite® IR 120, Amberlite® IRA 96 and Amberlite® IRA 402) with five different concentrations of 1%, 3%, 5%, 10% and 15% (w/v), respectively. At resin concentration of 10%, Amberlite® XAD-4 recorded the highest SCO yield, 2.90 ± 0.02 g/L, whereas the control and the conventional overliming detoxification method, recorded only 1.29 ± 0.01 g/L and 1.27 ± 0.02 g/L SCO accumulation, respectively. Moreover, the fatty acid profile of the oil produced was rich in oleic acid (33.60%), linoleic acid (9.90%), and palmitic acid (14.90%), which indicates the potential as a good biodiesel raw material.
Fulltext Physiological and biochemical responses of selected weed and crop species to the plant-based bioherbicide WeedLock

Hasan M, Mokhtar AS, Mahmud K, Berahim Z, Rosli AM, Hamdan H, et al.

Sci Rep, 2022 Nov 15;12(1):19602.
PMID: 36379972 DOI: 10.1038/s41598-022-24144-2

WeedLock is a broad-spectrum plant-based bioherbicide that is currently on the market as a ready-to-use formulation. In this study, we investigated the physiological and biochemical effects of WeedLock (672.75 L ha-1) on Ageratum conyzoides L., Eleusine indica (L.) Gaertn, Zea mays L., and Amaranthus gangeticus L. at four different time points. WeedLock caused significant reductions in chlorophyll pigment content and disrupted photosynthetic processes in all test plants. The greatest inhibition in photosynthesis was recorded in A. conyzoides at 24 h post-treatment with a 74.88% inhibition. Plants treated with WeedLock showed increased malondialdehyde (MDA) and proline production, which is indicative of phytotoxic stress. Remarkably, MDA contents of all treated plants increased by more than 100% in comparison to untreated. The activity of the antioxidant enzymes superoxide dismutase (SOD), catalase (CAT), and peroxidase (POD) was elevated following treatment with WeedLock. Significant increases were observed in the SOD activity of A. conyzoides ranging from 69.66 to 118.24% from 6 to 72 h post-treatment. Our findings confirm that WeedLock disrupts the normal physiological and biochemical processes in plants following exposure and that its mode of action is associated with ROS (reactive oxygen species) production, similar to that of PPO (protoporphyrinogen oxidase) inhibitors, although specific site-of-action of this novel bioherbicide warrants further investigation.
Fulltext In-Depth Review of Augmented Reality: Tracking Technologies, Development Tools, AR Displays, Collaborative AR, and Security Concerns

Syed TA, Siddiqui MS, Abdullah HB, Jan S, Namoun A, Alzahrani A, et al.

Sensors (Basel), 2022 Dec 23;23(1).
PMID: 36616745 DOI: 10.3390/s23010146

Augmented reality (AR) has gained enormous popularity and acceptance in the past few years. AR is indeed a combination of different immersive experiences and solutions that serve as integrated components to assemble and accelerate the augmented reality phenomena as a workable and marvelous adaptive solution for many realms. These solutions of AR include tracking as a means for keeping track of the point of reference to make virtual objects visible in a real scene. Similarly, display technologies combine the virtual and real world with the user's eye. Authoring tools provide platforms to develop AR applications by providing access to low-level libraries. The libraries can thereafter interact with the hardware of tracking sensors, cameras, and other technologies. In addition to this, advances in distributed computing and collaborative augmented reality also need stable solutions. The various participants can collaborate in an AR setting. The authors of this research have explored many solutions in this regard and present a comprehensive review to aid in doing research and improving different business transformations. However, during the course of this study, we identified that there is a lack of security solutions in various areas of collaborative AR (CAR), specifically in the area of distributed trust management in CAR. This research study also proposed a trusted CAR architecture with a use-case of tourism that can be used as a model for researchers with an interest in making secure AR-based remote communication sessions.
Fulltext The contradictory effects of coffee intake on periodontal health: a systematic review of experimental and observational studies

Bramantoro T, Zulfiana AA, Amir MS, Irmalia WR, Mohd Nor NA, Nugraha AP, et al.

F1000Res, 2022;11:924.
PMID: 36313542 DOI: 10.12688/f1000research.124547.3

Background: Drinking coffee is known to have both positive and negative aftermath on periodontal health. The current study is aiming to systematically review the impact of coffee consumption on periodontal health status. Methods: An article search was carried out in two electronic databases (PUBMED and Web of Sciences). All type of experimental and observational studies were included. The assessment of the included articles were conducted using Joanna Briggs Institute (JBI) critical appraisal tool. Data were analyzed qualitatively. Result: A total of 10 articles were included in this study. Most (5) of the studies discovered a negative correlation between coffee intake and periodontal health, while 4 other studies found the protective effect of daily coffee consumption against alveolar bone loss. Last, only one study found that coffee intake did not relate with periodontitis. Conclusion: The effect of coffee consumption on periodontal health was fragmented since coffee has complex components that may give either beneficial effects or negative impact on periodontal health.
Enhancement of Tech-Sil25 Maxillofacial Silicone Mechanical Properties after Artificial Weathering through Addition of Nanoparticles

Fadhil Bunyan S, Mohamad Suhaimi F, Mohidden Mostafa Zardawi F, Mohd Noor SNF, Zabidi MA

Int J Dent, 2022;2022:4082168.
PMID: 36624857 DOI: 10.1155/2022/4082168

PURPOSE: To evaluate the effect of nanosilica and nanoalumina addition in Tech-sil25 maxillofacial silicone before and after exposure to artificial weathering conditions.
MATERIALS AND METHODS: A total of 144 samples were divided into four groups, a control group (n = 12) and three test groups, nanosilica (NS) (n = 36), nanoalumina (NA) (n = 36), and a hybrid nanoparticle (HySA) (n = 60) at different weight percentages (1, 2, and 3 wt. %) was added to Tech-sil25. Samples were exposed to artificial weathering for 100 hours, and subjected to characterizations involving tear strength, shore A hardness, roughness, and tensile strength tests. The data were analyzed using descriptive and inferential statistics using a one-way ANOVA test to determine the level of significance between the groups.
RESULTS: After 100 hours of artificial weathering, the one-way ANOVA result shows a highly significant increase in tensile and tear strengths with a minimal increase in hardness and roughness observed in samples containing 2% nanosilica (NS) followed by hybrid nanoparticle (HySA) of 1% nanoalumina (NA) + 1% nanosilica (NS) compared with a control group and other groups.
CONCLUSIONS: The addition of nanosilica (NS), nanoalumina (NA), and a hybrid nanoparticle (HySA) to the Tech-sil25 maxillofacial silicone improved its mechanical properties. The combination of several filler reinforcements is essential for enhancing silicone's antiaging properties of silicone and maintaining some of its mechanical properties to prolong the service life.
Fulltext Using cascade CNN-LSTM-FCNs to identify AI-altered video based on eye state sequence

Saealal MS, Ibrahim MZ, Mulvaney DJ, Shapiai MI, Fadilah N

PLoS One, 2022;17(12):e0278989.
PMID: 36520851 DOI: 10.1371/journal.pone.0278989

Deep learning is notably successful in data analysis, computer vision, and human control. Nevertheless, this approach has inevitably allowed the development of DeepFake video sequences and images that could be altered so that the changes are not easily or explicitly detectable. Such alterations have been recently used to spread false news or disinformation. This study aims to identify Deepfaked videos and images and alert viewers to the possible falsity of the information. The current work presented a novel means of revealing fake face videos by cascading the convolution network with recurrent neural networks and fully connected network (FCN) models. The system detection approach utilizes the eye-blinking state in temporal video frames. Notwithstanding, it is deemed challenging to precisely depict (i) artificiality in fake videos and (ii) spatial information within the individual frame through this physiological signal. Spatial features were extracted using the VGG16 network and trained with the ImageNet dataset. The temporal features were then extracted in every 20 sequences through the LSTM network. On another note, the pre-processed eye-blinking state served as a probability to generate a novel BPD dataset. This newly-acquired dataset was fed to three models for training purposes with each entailing four, three, and six hidden layers, respectively. Every model constitutes a unique architecture and specific dropout value. Resultantly, the model optimally and accurately identified tampered videos within the dataset. The study model was assessed using the current BPD dataset based on one of the most complex datasets (FaceForensic++) with 90.8% accuracy. Such precision was successfully maintained in datasets that were not used in the training process. The training process was also accelerated by lowering the computation prerequisites.
The nexus between Islamic social finance, quality of human resource, governance, and poverty

Widiastuti T, Mawardi I, Zulaikha S, Herianingrum S, Robani A, Al Mustofa MU, et al.

Heliyon, 2022 Dec;8(12):e11885.
PMID: 36478817 DOI: 10.1016/j.heliyon.2022.e11885

This research aims to examine the effects of the Islamic social finance (zakat), the Islamic Human Development Index (IHDI), and the quality of governance on poverty alleviation in 39 Organization of Islamic Cooperation (OIC) member countries from 2007 to 2020. This study uses a fixed effect model to analyze the relationship between variables. The findings show that the Islamic human development index, as a proxy for the quality of human resources, supports the reduction of poverty in OIC countries. Furthermore, the zakat, voice and accountability, and trade openness have a negative and significant relationship with poverty. The quality of governance, population, inflation, and exchange rate, on the other hand, has no significant effect on the poverty rate. These findings can be used as the foundation for state government as the policymaker to solve poverty. The uniqueness of this study is the application of the modified human development index based on the five Islamic objectives and empirically investigates its impact on poverty.

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