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Chemiresistive Gas Sensing using Graphene-Metal Oxide Hybrids

Hossain MK, Hendi A, Asim N, Alghoul MA, Rafiqul Islam M, Hussain SMS

Chem Asian J, 2024 Aug 19;19(16):e202300529.
PMID: 37695946 DOI: 10.1002/asia.202300529

Chemiresistive sensing lies in its ability to provide fast, accurate, and reliable detection of various gases in a cost-effective and non-invasive manner. In this context, graphene-functionalized metal oxides play crucial role in hydrogen gas sensing. However, a cost-effective, defect-free, and large production schemes of graphene-based sensors are required for industrial applications. This review focuses on graphene-functionalized metal oxide nanostructures designed for gaseous molecules detection, mainly hydrogen gas sensing applications. For the convenience of the reader and to understand the role of graphene-metal oxide hybrids (GMOH) in gas sensing activities, a brief overview of the properties and synthesis routes of graphene and GMOH have been reported in this paper. Metal oxides play an essential role in the GMOH construct for hydrogen gas sensing. Therefore, various metal oxides-decorated GMOH constructs are detailed in this review as gas sensing platforms, particularly for hydrogen detection. Finally, specific directions for future research works and challenges ahead in designing highly selective and sensitive hydrogen gas sensors have been highlighted. As illustrated in this review, understanding of the metal oxides-decorated GMOH constructs is expected to guide ones in developing emerging hybrid nanomaterials that are suitable for hydrogen gas sensing applications.
Role of sustainable development goals in advancing the circular economy: A state-of-the-art review on past, present and future directions

Fauzi MA, Abidin NHZ, Omer MM, Kineber AF, Rahman ARA

Waste Manag Res, 2024 Jul;42(7):520-532.
PMID: 37681563 DOI: 10.1177/0734242X231196765

The purpose of this study is to review the relationship between the highly anticipated concept of circular economy (CE) and sustainable development goals (SDGs). These two sustainability principles have transformed organizations and countries in their quest to achieve sustainable development. Despite their importance to the business and corporate realm, the discussion of these two concepts has been developed in silos, arbitrarily connected. Through a bibliometric approach, this study reviewed 226 journal publications and 16,008 cited references from the Web of Science (WoS) to understand the past, present and future trends of the two concepts and their impact on the sustainability development. The bibliometric approach of citation, co-citation and co-word analysis uncovers the relevant and significant themes and research streams. Theoretical and practical implications were discussed within the broader business and governance perspective to develop a substantial triple bottom line in creating a sustainable future for civil society.
Fulltext COVID-19 Isolation Control Proposal via UAV and UGV for Crowded Indoor Environments: Assistive Robots in the Shopping Malls

Aslan MF, Hasikin K, Yusefi A, Durdu A, Sabanci K, Azizan MM

Front Public Health, 2022;10:855994.
PMID: 35734764 DOI: 10.3389/fpubh.2022.855994

Artificial intelligence researchers conducted different studies to reduce the spread of COVID-19. Unlike other studies, this paper isn't for early infection diagnosis, but for preventing the transmission of COVID-19 in social environments. Among the studies on this is regarding social distancing, as this method is proven to prevent COVID-19 to be transmitted from one to another. In the study, Robot Operating System (ROS) simulates a shopping mall using Gazebo, and customers are monitored by Turtlebot and Unmanned Aerial Vehicle (UAV, DJI Tello). Through frames analysis captured by Turtlebot, a particular person is identified and followed at the shopping mall. Turtlebot is a wheeled robot that follows people without contact and is used as a shopping cart. Therefore, a customer doesn't touch the shopping cart that someone else comes into contact with, and also makes his/her shopping easier. The UAV detects people from above and determines the distance between people. In this way, a warning system can be created by detecting places where social distance is neglected. Histogram of Oriented-Gradients (HOG)-Support Vector Machine (SVM) is applied by Turtlebot to detect humans, and Kalman-Filter is used for human tracking. SegNet is performed for semantically detecting people and measuring distance via UAV. This paper proposes a new robotic study to prevent the infection and proved that this system is feasible.
Fulltext Towards Integrated Air Pollution Monitoring and Health Impact Assessment Using Federated Learning: A Systematic Review

Neo EX, Hasikin K, Mokhtar MI, Lai KW, Azizan MM, Razak SA, et al.

Front Public Health, 2022;10:851553.
PMID: 35664109 DOI: 10.3389/fpubh.2022.851553

Environmental issues such as environmental pollutions and climate change are the impacts of globalization and become debatable issues among academics and industry key players. One of the environmental issues which is air pollution has been catching attention among industrialists, researchers, and communities around the world. However, it has always neglected until the impacts on human health become worse, and at times, irreversible. Human exposure to air pollutant such as particulate matters, sulfur dioxide, ozone and carbon monoxide contributed to adverse health hazards which result in respiratory diseases, cardiorespiratory diseases, cancers, and worst, can lead to death. This has led to a spike increase of hospitalization and emergency department visits especially at areas with worse pollution cases that seriously impacting human life and health. To address this alarming issue, a predictive model of air pollution is crucial in assessing the impacts of health due to air pollution. It is also critical in predicting the air quality index when assessing the risk contributed by air pollutant exposure. Hence, this systemic review explores the existing studies on anticipating air quality impact to human health using the advancement of Artificial Intelligence (AI). From the extensive review, we highlighted research gaps in this field that are worth to inquire. Our study proposes to develop an AI-based integrated environmental and health impact assessment system using federated learning. This is specifically aims to identify the association of health impact and pollution based on socio-economic activities and predict the Air Quality Index (AQI) for impact assessment. The output of the system will be utilized for hospitals and healthcare services management and planning. The proposed solution is expected to accommodate the needs of the critical and prioritization of sensitive group of publics during pollution seasons. Our finding will bring positive impacts to the society in terms of improved healthcare services quality, environmental and health sustainability. The findings are beneficial to local authorities either in healthcare or environmental monitoring institutions especially in the developing countries.
Fulltext Understanding vegetable farmers' adoption, dis-adoption, and non-adoption decisions of pest management by pheromone trapping

Kabir MH, Nur-E-Alam SM, Datta A, Tan ML, Rahman MS

PLoS One, 2023;18(9):e0292254.
PMID: 37773932 DOI: 10.1371/journal.pone.0292254

The use of pheromone traps can minimize the excess application of synthetic insecticides, while can also benefit the environment. The use of pheromone traps has been promoted and suggested to vegetable farmers of Bangladesh for widespread adoption. However, the majority of farmers have continued to spray insecticides instead of using pheromone traps. The present study investigated the factors influencing farmers' adoption, dis-adoption, and non-adoption behavior of pheromone traps for managing insect pests. Primary data were collected from 438 vegetable growers. Data were analyzed using descriptive statistics and multinomial logistic regression. About 27% of the farmers abandoned the technique shortly after it was adopted as it was time-consuming to manage insect pests. Marginal effect analysis revealed that the likelihood of continued adoption was 34.6% higher for farmers who perceived that pheromone traps were useful in controlling insect pests. In contrast, the likelihood of dis-adoption was 16.5% and 10.4% higher for farmers who maintained communication with private pesticide company agents and neighbor farmers, respectively. Extension services by government extension personnel might be encouraged and maintained as a key component in increasing farmer awareness regarding the use of pheromone trap. Strategies to promote pheromone traps in vegetable production should highlight the positive impacts to farmers and the environment, as this would most likely lead to their continued and widespread use after initial adoption.
Fabrication of amine-functionalized and multi-layered PAN-(TiO2)-gelatin nanofibrous wound dressing: In-vitro evaluation

Khan R, Haider S, Khan MUA, Haider A, Razak SIA, Hasan A, et al.

Int J Biol Macromol, 2023 Dec 31;253(Pt 5):127169.
PMID: 37783243 DOI: 10.1016/j.ijbiomac.2023.127169

The development of advanced multifunctional wound dressings remains a major challenge. Herein, a novel multilayer (ML) electrospun nanofibers (NFs) wound dressing based on diethylenetriamine (DETA) functionalized polyacrylonitrile (PAN), TiO2 nanoparticles (NPs) coating (Ct), and bioderived gelatin (Gel) was developed for potential applications in wound healing. The ML PAN-DETA-Ct-Gel membrane was developed by combining electrospinning, chemical functionalization, synthesis, and electrospray techniques, using a layer-by-layer method. The ML PAN-DETA-Ct-Gel membrane is comprised of an outer layer of PAN-DETA as a barrier to external microorganisms and structural support, an interlayer TiO2 NPs (Ct) as antibacterial function, and a contact layer (Gel) to improve biocompatibility and cell viability. The NFs membranes were characterized by scanning electron microscopy (SEM), surface profilometry, BET analysis, and water contact angle techniques to investigate their morphology, surface roughness, porosity, and wettability. The ML PAN-DETA-Ct-Gel wound dressing exhibited good surface roughness, porosity, and better wettability. Cell morphology, proliferation, and viability were determined using fibroblasts (3T3), and antibacterial assays were performed against six pathogens. The ML PAN-DETA-Ct-Gel NFs membrane showed good cell morphology, proliferation, viability, and antibacterial activity compared with other membranes. This new class of ML NFs membranes offers a multifunctional architecture with adequate biocompatibility, cell viability, and antibacterial activity.
Fulltext Comparison of Marginal Fracture Between Conventional and Bonded Amalgam Restorations in Posterior Permanent Molar Teeth

Iqbal H, Rana SAA, Manzoor A, Nazir A, Akhtar M, Ghaffar H, et al.

Cureus, 2023 Aug;15(8):e44295.
PMID: 37779731 DOI: 10.7759/cureus.44295

Background/objectives Dental amalgam has been a successful restoration for over a century. However, restoration failures due to secondary caries, fractured teeth or restorations, marginal deficiencies, tooth wear, and secondary caries remain significant concerns. Amalgam-bond, known for its ability to bond amalgam to the tooth structure and prevent percolation, forms a strong bond with vital dentin. This study aimed to compare the outcome of marginal fractures in bonded amalgam and conventional amalgam posterior restorations among patients at a tertiary care dental hospital. Materials and methods Sixty consecutive patients aged 25-35 years, meeting the inclusion and exclusion criteria, participated in this study. A thorough history, clinical examination, and standardized periapical radiographs were conducted. Patients were divided randomly into two equal groups, group A and group B. Group A received bonded amalgam restorations, while group B received conventional amalgam restorations. Polishing was performed at a recall visit after seven days, and a follow-up evaluation was done after two months. The final assessment of marginal fractures was recorded after six months. Results After six months, 28 (46.7%) patients showed no marginal fractures, including 11 males and 17 females. On the other hand, 32 (53.3%) patients exhibited marginal fractures, comprising 17 males and 15 females. The clinical success rate of group A was better than group B (p = 0.001). Conclusion Bonded amalgam demonstrates a high success rate and should be a routine choice for treating carious permanent molars in dental practice.
Fabrication, characterization, and application of light weight thermal insulation material from combined buffing dust and plaster of paris for construction industry

Ulfat W, Mohyuddin A, Amjad M, Othman MHD, Gikas P, Kurniawan TA

J Environ Manage, 2023 Dec 01;347:119129.
PMID: 37778073 DOI: 10.1016/j.jenvman.2023.119129

Buffing dust, generated from tannery industries, is a source of air pollution in Pakistan. Valorization of the waste into another useful material is important to deal with the environmental pollution, while reducing waste disposal costs in landfills. To demonstrate its technological strength, this work fabricates a thermal insulation material made of plaster of Paris and the buffing dust (from tanning waste) in the form of a composite with superior mechanical properties and low thermal conductivity. Buffing dust with concentrations ranging from 5 to 20% (w/w) were loaded in the composite. The samples synthesized were made slurry of plaster of Paris, buffing dust, and water at ambient temperature. The physico-mechanical properties of composite were analyzed. It was found that the composite had better thermal insulation properties than the panels of the plaster of Paris. Its thermal conductivity was reduced to 15% after adding buffing dust (20% w/w). All the materials had physico-chemical properties like tensile strength (0.02 MPa and 0.06 MPa), density (700-400 kg/m3), water absorption (5.2-8.6%) and thermal conductivity (0.17000-0.09218 W/m-K). Thermogravimetric analysis showed that the material was thermally stable at temperatures ranging from 145 to 177 °C, while FT-IR results revealed that the composite contained O-H, N-H, and CO functional groups. SEM analysis displayed that the composite's homogeneity was reduced with low voids due to buffing dust addition, while EDX analysis showed that the composite contained 23.62% of S, 26.76% of Ca, 49.2% of O and 0.42% of C. This implies that buffing dust could be recycled to manufacture heat insulation materials for construction sector to reduce air pollution, while minimizing energy consumption. By integrating the buffing dust from tanning waste and the plaster of Paris as a composite for construction sector, this work promotes the recycling of unused waste, while saving public funds. Instead of paying landfill fees and polluting soil, the waste may be recycled at lower cost, while reducing environmental damage.
Fulltext Improving the clinical recognition, prognosis, and treatment of melioidosis through epidemiology and clinical findings: The Sabah perspective

Hussin A, Nor Rahim MY, Dalusim F, Shahidan MA, Nathan S, Ibrahim N

PLoS Negl Trop Dis, 2023 Oct;17(10):e0011696.
PMID: 37844130 DOI: 10.1371/journal.pntd.0011696

INTRODUCTION: Melioidosis is a deadly endemic disease in northern Australia and Southeast Asia, including Sabah, Malaysia, which is caused by the bacterium Burkholderia pseudomallei. It contributes to high fatality rates, mainly due to misdiagnosis leading to the wrong treatment being administered to the patients. Local epidemiology and data on clinical features could assist clinicians during diagnosis and treatment. However, these details are still scarce, particularly in Sabah.
METHODS: A retrospective study of 246 culture-confirmed melioidosis cases in Queen Elizabeth Hospital, Sabah, Malaysia was performed between 2016 and 2018. The epidemiological data and clinical and laboratory findings were extracted and analysed.
RESULTS: The annual incidence of culture-confirmed melioidosis cases was estimated to be 4.97 per 100,000 people. The mean age of the patients was 50±15 years. Males and members of the Kadazan-Dusun ethnic group accounted for the majority of the melioidosis cases. The odds ratio analysis indicated that bacteraemic melioidosis in this region was significantly associated with fever (76%), and patients having at least one underlying illness (43%), including diabetes mellitus (32%). Sixty-eight patients (28%) succumbed to melioidosis. Contrary to what is known regarding factors that promote bacteraemic melioidosis, neither patients with fever nor patients with at least one comorbid disease, including diabetes mellitus, were significantly associated with death from melioidosis. There was no statistically significant difference between patients without comorbidities (24, 27%) and those with at least one comorbid disease (26, 25%), including diabetes mellitus (18, 23%). The odds ratios indicate that melioidosis mortality in this region is related to patients showing respiratory organ-associated symptoms (29%), bacteraemia (30%), and septic shock (47%). Burkholderia pseudomallei isolates in this study were highly susceptible to ceftazidime (100%), imipenem (100%), and trimethoprim-sulfamethoxazole (98%).
CONCLUSIONS: Information obtained from this study can be used by clinicians to recognise individuals with the highest risk of acquiring melioidosis, estimate an accurate prognosis, and provide effective treatment for melioidosis patients to reduce death from melioidosis.
Fulltext A secure healthcare 5.0 system based on blockchain technology entangled with federated learning technique

Rehman A, Abbas S, Khan MA, Ghazal TM, Adnan KM, Mosavi A

Comput Biol Med, 2022 Nov;150:106019.
PMID: 36162198 DOI: 10.1016/j.compbiomed.2022.106019

In recent years, the global Internet of Medical Things (IoMT) industry has evolved at a tremendous speed. Security and privacy are key concerns on the IoMT, owing to the huge scale and deployment of IoMT networks. Machine learning (ML) and blockchain (BC) technologies have significantly enhanced the capabilities and facilities of healthcare 5.0, spawning a new area known as "Smart Healthcare." By identifying concerns early, a smart healthcare system can help avoid long-term damage. This will enhance the quality of life for patients while reducing their stress and healthcare costs. The IoMT enables a range of functionalities in the field of information technology, one of which is smart and interactive health care. However, combining medical data into a single storage location to train a powerful machine learning model raises concerns about privacy, ownership, and compliance with greater concentration. Federated learning (FL) overcomes the preceding difficulties by utilizing a centralized aggregate server to disseminate a global learning model. Simultaneously, the local participant keeps control of patient information, assuring data confidentiality and security. This article conducts a comprehensive analysis of the findings on blockchain technology entangled with federated learning in healthcare. 5.0. The purpose of this study is to construct a secure health monitoring system in healthcare 5.0 by utilizing a blockchain technology and Intrusion Detection System (IDS) to detect any malicious activity in a healthcare network and enables physicians to monitor patients through medical sensors and take necessary measures periodically by predicting diseases. The proposed system demonstrates that the approach is optimized effectively for healthcare monitoring. In contrast, the proposed healthcare 5.0 system entangled with FL Approach achieves 93.22% accuracy for disease prediction, and the proposed RTS-DELM-based secure healthcare 5.0 system achieves 96.18% accuracy for the estimation of intrusion detection.
Fulltext Changes in Kidney Function Among Malaysian Adolescents and Its Determinants

Nawawi FA, Wan Md Adnan WAH, Ismail M, Jalaludin MY, Majid HA

Kidney Int Rep, 2023 Oct;8(10):1965-1977.
PMID: 37850001 DOI: 10.1016/j.ekir.2023.07.028

INTRODUCTION: The health and wellbeing of adolescents are often neglected, including the knowledge of chronic kidney disease (CKD), especially in its early stages.
METHODS: A total of 607 adolescents were recruited from the Malaysian Health and Adolescents Longitudinal Research Team (MyHeART) study, a prospective cohort study conducted from March 2012 to May 2016 that explored the noncommunicable diseases (NCDs) risk factors among 13 to 17 years old students in 3 states of Peninsular Malaysia. Students who participated in all 3 data collection periods in 2012, 2014, and 2016 with kidney function assessment across all 3-time points were included in the current study. The students' estimated glomerular filtration rate (eGFR) was calculated from isotope-dilution mass spectrometry-traceable Schwartz's equation and categorized based on Kidney Disease: Improving Global Outcomes (KDIGO) classification. Changes in kidney function were examined, and the longitudinal relationship between eGFR and multiple NCD risk factors was analyzed using the generalized estimating equation (GEE).
RESULTS: The prevalence of decreased eGFR (60-89 ml/min per 1.73 m2) among the students increased from 6.1% (2012) to 30.0% (2014) and 40.2% (2016). Based on the GEE, the student's eGFR decreased over time, with a steeper decline during early to midadolescence. Males and rural students had lower eGFR compared to their counterparts. Students who are morbidly obese had lower eGFR than those with normal body mass index (BMI). Protein consumption also has a potential moderating effect on eGFR in adolescents.
CONCLUSION: Kidney function changes can be detected as early as adolescence and are likely attributable to multiple NCD risk factors. Therefore, more comprehensive prevention efforts from various stakeholders are needed to identify health issues like CKD.
First Report of Fruit Rot Caused by Fusarium incarnatum-equiseti species complex on Greenhouse Bell Pepper in Malaysia

Ishak NF, Wan Azhar WMA, Ahmad S, Khairuddin AU, Laboh R

Plant Dis, 2023 Oct 19.
PMID: 37858968 DOI: 10.1094/PDIS-06-23-1076-PDN

In Malaysia, bell pepper (Capsicum annuum var. grossum), also known as sweet pepper or paprika, is one of the highly imported vegetable crops. In 2021 alone, Malaysia imported nearly 74 thousand metric tons of its chilies, including bell peppers, from other countries (DOSM, 2022). Often, farmers grow the bell peppers in moderate to cool conditions within highland regions for local commercial purposes. In June 2022, the Malaysian Agricultural Research and Development Institute (MARDI) in Serdang, Selangor, conducted a research study to grow lowland bell peppers under a glasshouse rain protection system. A disease inspection carried out found fruit rot on approximately 30% of mature bell pepper fruits in the greenhouse. Symptoms appeared as firm and sunken black lesions covered with white to light pink spore masses on the outer surface, which eventually fell off. Infected fruit parts were disinfected with 10% hypochlorite (NaOCl) for 2 min, followed by double washing with sterile distilled water, air-dried, and placed onto potato dextrose agar (PDA). After 3 days of incubation, the fungal colonies that grew from the symptomatic tissue pieces were transferred onto new PDA to obtain pure cultures. The pure fungal colony appeared dense, whitish aerial mycelium that slowly became cream to pinkish-orange after 7 days of incubation at room temperature (25±2 °C). To examine the morphology features, the pure cultures were subbed onto carnation leaf agar (CLA) and incubated at 25±2°C for 14 days. Macroconidia were abundant, slightly curved with tapered apical cells, 3- to 5-septate, and ranged between 21.8 and 34.0 x 3.0 and 5.1 μm. Microconidia were single-celled, often 1-septate, and ranged between 10.0 and 12.6 x 2.1 and 3.4 μm. Chlamydospores were globose and in chains. The fungus was identified as Fusarium sp. according to Fusarium key by Leslie and Summerell (2006). PCR amplification and DNA sequencing were performed using primers EF1F/EF2R and ITS1/ITS4 (O'Donnell et al., 1998; White et al., 1990) to amplify the partial elongation factor 1-alpha (TEF1-α) gene and internal transcribed spacer region (ITS), respectively. The TEF1-α and ITS sequences of this isolate were deposited in GenBank as OQ672911 and OR349657. BLAST analysis with TEF1-α gene sequences revealed 99.74% and 99.33% sequence identity with F. pernambucanum (accession no. ON330424) and Fusarium isolate NRRL 25134 (accession no. JF740755), respectively; both belonged to the Fusarium incarnatum-equiseti species complex (FIESC). BLAST search of the TEF1-α sequence in the database of the International Mycological Association (www.mycobank.org) showed 99.18% identity with FIESC (NRRL 36548). The ITS sequences were 100% identical to those of F. incarnatum (MT563420, MT563419, and MT563418). Pathogenicity test was conducted on three unwounded and three wounded mature red bell pepper fruits (SP299 Red Masta variety). Two healthy bell peppers were used as controls for each treatment. Prior to inoculation, the fruits were surface-sterilized by dipping in 70% ethanol and rinsed twice with sterile distilled water. Unwounded fruits were inoculated with fungal mycelium disks (5 mm diameter), whereas control fruits were inoculated with sterile PDA agar disks. For wound method, 6 µl of spore suspension (1x106 spores/ml) was obtained from 7-day-old cultures and injected (1 mm depth) into the fruit wall using a sterile syringe needle. Control fruits were inoculated with sterile distilled water only. Each fruit was inoculated with the inoculum at three distinct spots and kept in a humid chamber at a temperature of 25±2 °C. The pathogenicity test was done twice. Five days post-inoculation, the control fruits showed no symptoms, whereas all inoculated wounded and non-wounded fruits developed necrotic lesions with white mycelium growing on the inoculation points. The pathogen was successfully re-isolated from the infected fruits and morphologically identified as FIESC, fulfilling Kochs postulates. It has been reported previously that the members of FIESC are responsible for the fruit rot of bell peppers under greenhouse conditions (Ramdial et al., 2016). To the best of our knowledge, this is the first report of FIESC causing fruit rot on greenhouse bell peppers in Malaysia. This fruit rot disease may impose significant constraints on bell pepper production in Malaysia; hence, effective strategies to control the pathogen and prevent disease dispersal should be implemented.
Quality management overview for the production of a tissue-engineered human skin substitute in Malaysia

Seet WT, Mat Afandi MA, Ishak MF, Hassan MNF, Ahmat N, Ng MH, et al.

Stem Cell Res Ther, 2023 Oct 20;14(1):298.
PMID: 37858277 DOI: 10.1186/s13287-023-03536-9

Treatments for skin injuries have recently advanced tremendously. Such treatments include allogeneic and xenogeneic transplants and skin substitutes such as tissue-engineered skin, cultured cells, and stem cells. The aim of this paper is to discuss the general overview of the quality assurance and quality control implemented in the manufacturing of cell and tissue product, with emphasis on our experience in the manufacturing of MyDerm®, an autologous bilayered human skin substitute. Manufacturing MyDerm® requires multiple high-risk open manipulation steps, such as tissue processing, cell culture expansion, and skin construct formation. To ensure the safety and efficacy of this product, the good manufacturing practice (GMP) facility should establish a well-designed quality assurance and quality control (QA/QC) programme. Standard operating procedures (SOP) should be implemented to ensure that the manufacturing process is consistent and performed in a controlled manner. All starting materials, including tissue samples, culture media, reagents, and consumables must be verified and tested to confirm their safety, potency, and sterility. The final products should also undergo a QC testing series to guarantee product safety, efficacy, and overall quality. The aseptic techniques of cleanroom operators and the environmental conditions of the facility are also important, as they directly influence the manufacturing of good-quality products. Hence, personnel training and environmental monitoring are necessary to maintain GMP compliance. Furthermore, risk management implementation is another important aspect of QA/QC, as it is used to identify and determine the risk level and to perform risk assessments when necessary. Moreover, procedures for non-conformance reporting should be established to identify, investigate, and correct deviations that occur during manufacturing. This paper provides insight and an overview of the QA/QC aspect during MyDerm® manufacturing in a GMP-compliant facility in the Centre for Tissue Engineering and Regenerative Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia.
Fulltext A systematic review on physical mutagens in rice breeding in Southeast Asia

Baadu R, Chong KP, Gansau JA, Mohamed Zin MR, Dayou J

PeerJ, 2023;11:e15682.
PMID: 37868055 DOI: 10.7717/peerj.15682

In the 1920s, Lewis Stadler initiated the introduction of permanent improvements to the genetic makeup of irradiated plants. Since then, studies related to breeding mutations have grown, as efforts have been made to expand and improve crop productivity and quality. Stadler's discovery began with x-rays on corn and barley and later extended to the use of gamma-rays, thermal, and fast neutrons in crops. Radiation has since been shown to be an effective and unique method for increasing the genetic variability of species, including rice. Numerous systematic reviews have been conducted on the impact of physical mutagens on the production and grain quality of rice in Southeast Asia. However, the existing literature still lacks information on the type of radiation used, the rice planting materials used, the dosage of physical mutagens, and the differences in mutated characteristics. Therefore, this article aims to review existing literature on the use of physical mutagens in rice crops in Southeast Asian countries. Guided by the PRISMA Statement review method, 28 primary studies were identified through a systematic review of the Scopus, Science Direct, Emerald Insight, Multidisciplinary Digital Publishing, and MDPI journal databases published between 2016 and 2020. The results show that 96% of the articles used seeds as planting materials, and 80% of the articles focused on gamma-rays as a source of physical mutagens. The optimal dosage of gamma-rays applied was around 100 to 250 Gy to improve plant development, abiotic stress, biochemical properties, and nutritional and industrial quality of rice.
Fulltext Interpersonal psychotherapy for traumatic grief following a loss due to COVID-19: a case report

Abdul Samad FD, Pereira XV, Chong SK, Abdul Latif MHB

Front Psychiatry, 2023;14:1218715.
PMID: 37840803 DOI: 10.3389/fpsyt.2023.1218715

Interpersonal psychotherapy (IPT) is a highly regarded evidence-based psychotherapy that aims to alleviate the suffering of clients and improve their interpersonal functioning. Research has demonstrated the effectiveness of IPT in depressive, bipolar and eating disorders. IPT also focuses on grief and loss as a problem area to help clients address and process their grief symptoms, leading them to reach a phase of finding meaning. However, traumatic grief which is characterized by someone who has both symptoms of trauma and grief can further complicate treatment. As for Posttraumatic Stress Disorder (PTSD), IPT can be a choice of treatment by addressing perceived isolation and emotional dysregulation through mobilizing adequate social support. This case study highlights the efficacy of IPT in treating complicated grief with traumatic experiences caused by the loss of a loved one during the COVID-19 pandemic, without undergoing exposure-based therapy. The treatment course consisted of 12 sessions scheduled twice weekly, and the client received antidepressant medication augmented with antipsychotic medication. After undergoing IPT, the client experienced an improvement in symptoms, gradual recovery of functional disability, and more meaningful interpersonal relationships. The case study presented provides evidence to suggest that IPT is a promising treatment approach for individuals struggling with trauma related to grief.
Fulltext Impact of COVID-19 pandemic on consumer behavioural intention to purchase green products

Hu P, Bhuiyan MA, Rahman MK, Hossain MM, Akter S

PLoS One, 2022;17(10):e0275541.
PMID: 36260619 DOI: 10.1371/journal.pone.0275541

This study examined the fear of COVID-19 pandemic and its impact on consumer behavioural intention to purchase green products. The data was collected from consumers of Malaysia in hypermarkets. A total of 491 respondents were analyzed using the partial least square technique. The results indicated that the fear of the COVID-19 epidemic has a significant impact on health concerns, social media information, intolerance of uncertainty, and personal relevance, which in turn affect consumers' behavioural intention to purchase green products. With a serial mediating effect the results identified that fear of COVID-19 epidemic is associated with behavioural intention to purchase the green product. The findings of this study are crucial for understanding the swings in the green product purchase behaviour due to the ongoing uncertainty of COVID-19 crisis.
Fulltext Implementation of machine learning in DNA barcoding for determining the plant family taxonomy

Riza LS, Zain MI, Izzuddin A, Prasetyo Y, Hidayat T, Abu Samah KAF

Heliyon, 2023 Oct;9(10):e20161.
PMID: 37767518 DOI: 10.1016/j.heliyon.2023.e20161

The DNA barcoding approach has been used extensively in taxonomy and phylogenetics. The differences in certain DNA sequences are able to differentiate and help classify organisms into taxa. It has been used in cases of taxonomic disputes where morphology by itself is insufficient. This research aimed to utilize hierarchical clustering, an unsupervised machine learning method, to determine and resolve disputes in plant family taxonomy. We take a case study of Leguminosae that historically some classify into three families (Fabaceae, Caesalpiniaceae, and Mimosaceae) but others classify into one family (Leguminosae). This study is divided into several phases, which are: (i) data collection, (ii) data preprocessing, (iii) finding the best distance method, and (iv) determining disputed family. The data used are collected from several sources, including National Center for Biotechnology Information (NCBI), journals, and websites. The data for validation of the methods were collected from NCBI. This was used to determine the best distance method for differentiating families or genera. The data for the case study in the Leguminosae group was collected from journals and a website. From the experiment that we have conducted, we found that the Pearson method is the best distance method to do clustering ITS sequence of plants, both in accuracy and computational cost. We use the Pearson method to determine the disputed family between Leguminosae. We found that the case study of Leguminosae should be grouped into one family based on our research.
Fulltext Pancreatic cancer grading in pathological images using deep learning convolutional neural networks

Mohamad Sehmi MN, Ahmad Fauzi MF, Wan Ahmad WSHM, Wan Ling Chan E

F1000Res, 2021;10:1057.
PMID: 37767358 DOI: 10.12688/f1000research.73161.2

Background: Pancreatic cancer is one of the deadliest forms of cancer. The cancer grades define how aggressively the cancer will spread and give indication for doctors to make proper prognosis and treatment. The current method of pancreatic cancer grading, by means of manual examination of the cancerous tissue following a biopsy, is time consuming and often results in misdiagnosis and thus incorrect treatment. This paper presents an automated grading system for pancreatic cancer from pathology images developed by comparing deep learning models on two different pathological stains. Methods: A transfer-learning technique was adopted by testing the method on 14 different ImageNet pre-trained models. The models were fine-tuned to be trained with our dataset. Results: From the experiment, DenseNet models appeared to be the best at classifying the validation set with up to 95.61% accuracy in grading pancreatic cancer despite the small sample set. Conclusions: To the best of our knowledge, this is the first work in grading pancreatic cancer based on pathology images. Previous works have either focused only on detection (benign or malignant), or on radiology images (computerized tomography [CT], magnetic resonance imaging [MRI] etc.). The proposed system can be very useful to pathologists in facilitating an automated or semi-automated cancer grading system, which can address the problems found in manual grading.
Fulltext Blockchain-Powered Healthcare Systems: Enhancing Scalability and Security with Hybrid Deep Learning

Ali A, Ali H, Saeed A, Ahmed Khan A, Tin TT, Assam M, et al.

Sensors (Basel), 2023 Sep 07;23(18).
PMID: 37765797 DOI: 10.3390/s23187740

The rapid advancements in technology have paved the way for innovative solutions in the healthcare domain, aiming to improve scalability and security while enhancing patient care. This abstract introduces a cutting-edge approach, leveraging blockchain technology and hybrid deep learning techniques to revolutionize healthcare systems. Blockchain technology provides a decentralized and transparent framework, enabling secure data storage, sharing, and access control. By integrating blockchain into healthcare systems, data integrity, privacy, and interoperability can be ensured while eliminating the reliance on centralized authorities. In conjunction with blockchain, hybrid deep learning techniques offer powerful capabilities for data analysis and decision making in healthcare. Combining the strengths of deep learning algorithms with traditional machine learning approaches, hybrid deep learning enables accurate and efficient processing of complex healthcare data, including medical records, images, and sensor data. This research proposes a permissions-based blockchain framework for scalable and secure healthcare systems, integrating hybrid deep learning models. The framework ensures that only authorized entities can access and modify sensitive health information, preserving patient privacy while facilitating seamless data sharing and collaboration among healthcare providers. Additionally, the hybrid deep learning models enable real-time analysis of large-scale healthcare data, facilitating timely diagnosis, treatment recommendations, and disease prediction. The integration of blockchain and hybrid deep learning presents numerous benefits, including enhanced scalability, improved security, interoperability, and informed decision making in healthcare systems. However, challenges such as computational complexity, regulatory compliance, and ethical considerations need to be addressed for successful implementation. By harnessing the potential of blockchain and hybrid deep learning, healthcare systems can overcome traditional limitations, promoting efficient and secure data management, personalized patient care, and advancements in medical research. The proposed framework lays the foundation for a future healthcare ecosystem that prioritizes scalability, security, and improved patient outcomes.
Overview of fermentation process: structure-function relationship on protein quality and non-nutritive compounds of plant-based proteins and carbohydrates

Alrosan M, Tan TC, Koh WY, Easa AM, Gammoh S, Alu'datt MH

Crit Rev Food Sci Nutr, 2023;63(25):7677-7691.
PMID: 35266840 DOI: 10.1080/10408398.2022.2049200

Demands for high nutritional value-added food products and plant-based proteins have increased over the last decade, in line with the growth of the human population and consumer health awareness. The quality of the plant-based proteins depends on their digestibility, amino acid content, and residues of non-nutritive compounds, such as phenolic compounds, anti-nutritional compounds, antioxidants, and saponins. The presence of these non-nutritive compounds could have detrimental effects on the quality of the proteins. One of the solutions to address these shortcomings of plant-based proteins is fermentation, whereby enzymes that present naturally in microorganisms used during fermentation are responsible for the cleavage of the bonds between proteins and non-nutritive compounds. This mechanism has pronounced effects on the non-nutritive compounds, resulting in the enhancement of protein digestibility and functional properties of plant-based proteins. We assert that the types of plant-based proteins and microorganisms used during fermentation must be carefully addressed to truly enhance the quality, functional properties, and health functionalities of plant-based proteins.Supplemental data for this article is available online at here. show.

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