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Fulltext Development and mining of a volatile organic compound database

Abdullah AA, Altaf-Ul-Amin M, Ono N, Sato T, Sugiura T, Morita AH, et al.

Biomed Res Int, 2015;2015:139254.
PMID: 26495281 DOI: 10.1155/2015/139254

Volatile organic compounds (VOCs) are small molecules that exhibit high vapor pressure under ambient conditions and have low boiling points. Although VOCs contribute only a small proportion of the total metabolites produced by living organisms, they play an important role in chemical ecology specifically in the biological interactions between organisms and ecosystems. VOCs are also important in the health care field as they are presently used as a biomarker to detect various human diseases. Information on VOCs is scattered in the literature until now; however, there is still no available database describing VOCs and their biological activities. To attain this purpose, we have developed KNApSAcK Metabolite Ecology Database, which contains the information on the relationships between VOCs and their emitting organisms. The KNApSAcK Metabolite Ecology is also linked with the KNApSAcK Core and KNApSAcK Metabolite Activity Database to provide further information on the metabolites and their biological activities. The VOC database can be accessed online.
Fulltext 4E analysis of a two-stage refrigeration system through surrogate models based on response surface methods and hybrid grey wolf optimizer

Ahmed R, Mahadzir S, Mota-Babiloni A, Al-Amin M, Usmani AY, Ashraf Rana Z, et al.

PLoS One, 2023;18(2):e0272160.
PMID: 36735732 DOI: 10.1371/journal.pone.0272160

Refrigeration systems are complex, non-linear, multi-modal, and multi-dimensional. However, traditional methods are based on a trial and error process to optimize these systems, and a global optimum operating point cannot be guaranteed. Therefore, this work aims to study a two-stage vapor compression refrigeration system (VCRS) through a novel and robust hybrid multi-objective grey wolf optimizer (HMOGWO) algorithm. The system is modeled using response surface methods (RSM) to investigate the impacts of design variables on the set responses. Firstly, the interaction between the system components and their cycle behavior is analyzed by building four surrogate models using RSM. The model fit statistics indicate that they are statistically significant and agree with the design data. Three conflicting scenarios in bi-objective optimization are built focusing on the overall system following the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Linear Programming Technique for Multidimensional Analysis of Preference (LINMAP) decision-making methods. The optimal solutions indicate that for the first to third scenarios, the exergetic efficiency (EE) and capital expenditure (CAPEX) are optimized by 33.4% and 7.5%, and the EE and operational expenditure (OPEX) are improved by 27.4% and 19.0%. The EE and global warming potential (GWP) are also optimized by 27.2% and 19.1%, where the proposed HMOGWO outperforms the MOGWO and NSGA-II. Finally, the K-means clustering technique is applied for Pareto characterization. Based on the research outcomes, the combined RSM and HMOGWO techniques have proved an excellent solution to simulate and optimize two-stage VCRS.
Fulltext Nanostructure Engineering via Intramolecular Construction of Carbon Nitride as Efficient Photocatalyst for CO2 Reduction

Sohail M, Altalhi T, Al-Sehemi AG, Taha TAM, S El-Nasser K, Al-Ghamdi AA, et al.

Nanomaterials (Basel), 2021 Nov 29;11(12).
PMID: 34947595 DOI: 10.3390/nano11123245

Light-driven heterogeneous photocatalysis has gained great significance for generating solar fuel; the challenging charge separation process and sluggish surface catalytic reactions significantly restrict the progress of solar energy conversion using a semiconductor photocatalyst. Herein, we propose a novel and feasible strategy to incorporate dihydroxy benzene (DHB) as a conjugated monomer within the framework of urea containing CN (CNU-DHBx) to tune the electronic conductivity and charge separation due to the aromaticity of the benzene ring, which acts as an electron-donating species. Systematic characterizations such as SPV, PL, XPS, DRS, and TRPL demonstrated that the incorporation of the DHB monomer greatly enhanced the photocatalytic CO2 reduction of CN due to the enhanced charge separation and modulation of the ionic mobility. The significantly enhanced photocatalytic activity of CNU-DHB15.0 in comparison with parental CN was 85 µmol/h for CO and 19.92 µmol/h of the H2 source. It can be attributed to the electron-hole pair separation and enhance the optical adsorption due to the presence of DHB. Furthermore, this remarkable modification affected the chemical composition, bandgap, and surface area, encouraging the controlled detachment of light-produced photons and making it the ideal choice for CO2 photoreduction. Our research findings potentially offer a solution for tuning complex charge separation and catalytic reactions in photocatalysis that could practically lead to the generation of artificial photocatalysts for efficient solar energy into chemical energy conversion.
Cholinesterase activity as a potential biomarker for neurotoxicity induced by pesticides in vivo exposed Oreochromis niloticus (Nile tilapia): assessment tool for organophosphates and synthetic pyrethroids

Amin M, Yousuf M, Attaullah M, Ahmad N, Azra MN, Lateef M, et al.

Environ Technol, 2023 Jun;44(14):2148-2156.
PMID: 34962184 DOI: 10.1080/09593330.2021.2024276

Organophosphates (OPs) and synthetic pyrethroids (SPs) are the most popular broad spectrum pesticides, used in agriculture as they have a strong pesticidal activity while also being biodegradable in the environment. The present study aimed to demonstrate the effects of these pesticides on the Acetylcholinesterase (AChE) activity in brain, gills and body muscles of Oreochromis niloticus - an important enzyme for the assessment and biomonitoring pollution caused by neurotoxins in the environment. The fish were exposed for 24 and 48 h to the LC0 concentrations of the malathion (1.425 mg/L), the chlorpyrifos (0.125 mg/L) and the λ-cyhalothrin (0.0039 mg/L), respectively. The activity of the AChE was significantly increased (p
Fulltext One-Step Solvothermal Synthesis by Ethylene Glycol to Produce N-rGO for Supercapacitor Applications

Rahman MO, Nor NBM, Sawaran Singh NS, Sikiru S, Dennis JO, Shukur MFBA, et al.

Nanomaterials (Basel), 2023 Feb 08;13(4).
PMID: 36839033 DOI: 10.3390/nano13040666

Graphene and its derivatives have emerged as peerless electrode materials for energy storage applications due to their exclusive electroactive properties such as high chemical stability, wettability, high electrical conductivity, and high specific surface area. However, electrodes from graphene-based composites are still facing some substantial challenges to meet current energy demands. Here, we applied one-pot facile solvothermal synthesis to produce nitrogen-doped reduced graphene oxide (N-rGO) nanoparticles using an organic solvent, ethylene glycol (EG), and introduced its application in supercapacitors. Electrochemical analysis was conducted to assess the performance using a multi-channel electrochemical workstation. The N-rGO-based electrode demonstrates the highest specific capacitance of 420 F g-1 at 1 A g-1 current density in 3 M KOH electrolyte with the value of energy (28.60 Whkg-1) and power (460 Wkg-1) densities. Furthermore, a high capacitance retention of 98.5% after 3000 charge/discharge cycles was recorded at 10 A g-1. This one-pot facile solvothermal synthetic process is expected to be an efficient technique to design electrodes rationally for next-generation supercapacitors.
Fulltext Barriers to the Use of Insulin Therapy and Potential Solutions: A Narrative Review of Perspectives from the Asia-Pacific Region

Chen R, Aamir AH, Feroz Amin M, Bunnag P, Chan SP, Guo L, et al.

Diabetes Ther, 2024 Jun;15(6):1261-1277.
PMID: 38625535 DOI: 10.1007/s13300-024-01568-9

The rising prevalence of type 2 diabetes (T2D) is posing major challenges for the healthcare systems of many countries, particularly in the Asia-Pacific Region, in which T2D can present at younger ages and lower body mass index when compared with Western nations. There is an important role for insulin therapy in the management of T2D in these nations, but available evidence suggests that insulin is under-utilized and often delayed, to the detriment of patient prognosis. The authors of this article gathered as an advisory panel (representative of some of the larger Asia-Pacific nations) to identify their local barriers to insulin use in T2D, and to discuss ways in which to address these barriers, with their outputs summarized herein. Many of the key barriers identified are well-documented issues of global significance, including a lack of healthcare resources or of an integrated structure, insufficient patient education, and patient misconceptions about insulin therapy. Barriers identified as more innate to Asian countries included local inabilities of patients to afford or gain access to insulin therapy, a tendency for some patients to be more influenced by social media and local traditions than by the medical profession, and a willingness to switch care providers and seek alternative therapies. Strategies to address some of these barriers are provided, with hypothetical illustrative case histories.
(KAUH-BCMD) dataset: advancing mammographic breast cancer classification with multi-fusion preprocessing and residual depth-wise network

Al-Mnayyis AM, Gharaibeh H, Amin M, Anakreh D, Akhdar HF, Alshdaifat EH, et al.

Front Big Data, 2025;8:1529848.
PMID: 40115240 DOI: 10.3389/fdata.2025.1529848

The categorization of benign and malignant patterns in digital mammography is a critical step in the diagnosis of breast cancer, facilitating early detection and potentially saving many lives. Diverse breast tissue architectures often obscure and conceal breast issues. Classifying worrying regions (benign and malignant patterns) in digital mammograms is a significant challenge for radiologists. Even for specialists, the first visual indicators are nuanced and irregular, complicating identification. Therefore, radiologists want an advanced classifier to assist in identifying breast cancer and categorizing regions of concern. This study presents an enhanced technique for the classification of breast cancer using mammography images. The collection comprises real-world data from King Abdullah University Hospital (KAUH) at Jordan University of Science and Technology, consisting of 7,205 photographs from 5,000 patients aged 18-75. After being classified as benign or malignant, the pictures underwent preprocessing by rescaling, normalization, and augmentation. Multi-fusion approaches, such as high-boost filtering and contrast-limited adaptive histogram equalization (CLAHE), were used to improve picture quality. We created a unique Residual Depth-wise Network (RDN) to enhance the precision of breast cancer detection. The suggested RDN model was compared with many prominent models, including MobileNetV2, VGG16, VGG19, ResNet50, InceptionV3, Xception, and DenseNet121. The RDN model exhibited superior performance, achieving an accuracy of 97.82%, precision of 96.55%, recall of 99.19%, specificity of 96.45%, F1 score of 97.85%, and validation accuracy of 96.20%. The findings indicate that the proposed RDN model is an excellent instrument for early diagnosis using mammography images and significantly improves breast cancer detection when integrated with multi-fusion and efficient preprocessing approaches.
Gut microbiota and functional metabolic predictions in white feces disease-infected Pacific white shrimp, Penaeus vannamei, from Indonesian farms

Amin M, Rahardjo KKE, Panosa AE, Satyantini WH, Mukti AT, Ali M, et al.

Fish Shellfish Immunol, 2025 Mar;158:110171.
PMID: 39904479 DOI: 10.1016/j.fsi.2025.110171

The etiological agent of white feces disease (WFD) infecting Pacific white shrimp Penaeus vannamei in Indonesia farms remains obscure. The present study aimed to identify possible causative agents of WFD infection in Pacific white shrimps cultured in Indonesian farms. WFD-infected and healthy samples (shrimp gut and rearing water) were collected from 8 commercial shrimp farms in East Java, Indonesia followed by bacterial community profiling using HiSeq sequencing of 16S rRNA gene amplicons. The results showed that the microbiota composition in the guts of WFD-infected shrimps was significantly different (p
Administration of tranexamic acid for victims of severe trauma within pre-hospital care ambulance services (PHCAS) in Malaysia

Shah Jahan MY, Shamila MA, Nurul Azlean N, Mohd Amin M, Anandakumar K, Ahmad Ibrahim KB, et al.

Med J Malaysia, 2019 08;74(4):300-306.
PMID: 31424037

INTRODUCTION: Trauma is a Global threat and the 5th highest cause of all-cause mortality in Malaysia caused predominantly due to road traffic accidents. Majority of trauma victims are young adults aged between 21-40 years old. In Malaysia, 24 out of 100,000 population die annually due to trauma, rating us amongst the highest in South East Asia. These alarming figures justify aggressive preventive and mitigation strategies. The aim of this paper is to promote the implementation of evidence-based interventions that will reduce the rate of preventable death because of trauma. Tranexamic acid is one of the few interventions in the early management of severe trauma with level-one evidence. Tranexamic acid has been proven to reduce all causes of mortality and mortality due to bleeding. Evidence proves that it is most effective when administered early, particularly within the 1st hour of trauma. This proposed guideline is formulated based upon quality evidence from multicentre studies, clinical practices in other countries and consideration of the local demographic factors with the intent of enabling an easy and simple pathway to administer tranexamic acid early in the care of the severely injured.
CONCLUSION: The guideline highlights select pre-hospital criteria's and the methods for drug administration. The authors recognise that some variants may be present amongst certain institutions necessitating minor adaptations, nevertheless the core principles of advocating tranexamic acid early in the course of pre-hospital trauma should be adhered to.
Fulltext APPaRENT 3: Asthma Patients' and Physicians' Perspectives on the Burden and Management of Asthma in Seven Countries

Aggarwal B, Al-Moamary M, Allehebi R, Alzaabi A, Al-Ahmad M, Amin M, et al.

Adv Ther, 2024 Aug;41(8):3089-3118.
PMID: 38874879 DOI: 10.1007/s12325-024-02900-2

INTRODUCTION: Asthma management is strongly dependent on physician and patient beliefs and perceptions about the disease and its long-term treatment. The APPaRENT 3 study was conducted to explore factors influencing treatment choice and to understand patients' and physicians' attitudes and perspectives on the use of controller inhalers in regular versus flexible dosing for asthma management.
METHODS: This cross-sectional survey of patients with asthma and treating physicians was conducted in seven countries: Indonesia, Malaysia, Philippines, Thailand, Vietnam (patient survey only), Saudi Arabia, and the United Arab Emirates. Assessment was carried out through an online/face-to-face questionnaire, where patients' viewpoints were focused on their attitudes and beliefs about asthma and treatment adherence, whereas physicians' viewpoints were gathered on their attitudes and beliefs about asthma management, knowledge of and adherence to asthma treatment guidelines, and asthma treatment regimens.
RESULTS: Overall, 1400 patients (mean age, 34 years) and 599 physicians (mean age, 43 years) were included in the survey. Physicians similarly prioritised symptom control (39%) and exacerbation reduction (40%) in moderate asthma, whereas patients prioritised symptom control (41%) over exacerbation reduction (22%). Although both groups (physicians, 86%; patients, 84%) perceived asthma as well-controlled, poor management was evident based on Asthma Control Test (ACT) scores (mean, 15.7; standard deviation, 4.14; 82% had an ACT score