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  1. Hysterectomy in a phenotypic male with congenital adrenal hyperplasia (CAH)
    Aziz NA, Mohd Ali MH, Ramli R
    BMJ Case Rep, 2022 Feb 08;15(2).
    PMID: 35135794 DOI: 10.1136/bcr-2021-246603
    A young adult patient with 46XX congenital adrenal hyperplasia (CAH) presented with recurrent painful haematuria. CAH was diagnosed at birth following ambiguous genitalia. Hormonal treatment was started, female gender was assigned and feminising genitoplasty was planned, however the patient was lost to follow-up. Gender dysphoria started to occur during childhood which prompted the family to raise the patient as a boy. He eventually identified himself as a male. Examination revealed a male phenotype with severely virilised genitalia. Imaging studies confirmed the presence of uterus with low confluent urogenital sinus. Total abdominal hysterectomy with bilateral salpingo-oophorectomy was performed, and the troublesome symptoms were cured.
  2. Does cyber tech spending matter for bank stability?
    Uddin MH, Mollah S, Ali MH
    Int Rev Financ Anal, 2020 Nov;72:101587.
    PMID: 38620708 DOI: 10.1016/j.irfa.2020.101587
    CyberTech has drawn academic attention in the aftermath of the global financial crisis (GFC) as banks were forced to embrace CyberTech more aggressively to cope with market competition after the crisis. Banks can improve their operational efficiency and quality of service by relying on CyberTech, but they become more vulnerable to cybersecurity. Thus, increasing investment in CyberTech becomes a strategic necessity for banks to combat cybersecurity hazards. The study investigates how disruptive digital transformation affects bank stability. In particular, it examines whether the law of diminishing marginal returns from overspending on CyberTech affects bank stability. Based on a global sample from 43 countries, we find that an increase in CyberTech spending above the threshold level adversely affects the stability of banks. The main reason behind the adverse effect of CyberTech spending on the stability of banks is that banks take more than the proportional risk for every dollar they spend on disruptive CyberTech after they cross a threshold level of spending. While results persist across sub-samples, our results indicate two important channels of technological regimes - a diminishing returns regime and an increasing returns regime. The diminishing returns regime improves bank stability through more aggressive spending on technology, and the increasing returns regime makes banks more unstable due to excess spending on disruptive CyberTech. The study has implications for cybersecurity and sustainable CyberTech spending for banks.
  3. Hand-arm vibration disorder among grass-cutter workers in Malaysia
    Azmir NA, Ghazali MI, Yahya MN, Ali MH
    Int J Occup Saf Ergon, 2016 Apr 6.
    PMID: 27050159
    Prolonged exposure to hand-transmitted vibration from grass-cutting machines has been associated with increasing occurrences of symptoms and signs of occupational diseases related to hand-arm vibration syndrome (HAVS).
  4. Fulltext A Study on Regional GDP Forecasting Analysis Based on Radial Basis Function Neural Network with Genetic Algorithm (RBFNN-GA) for Shandong Economy
    Zhang Q, Abdullah AR, Chong CW, Ali MH
    Comput Intell Neurosci, 2022;2022:8235308.
    PMID: 35126503 DOI: 10.1155/2022/8235308
    Gross domestic product (GDP) is an important indicator for determining a country's or region's economic status and development level, and it is closely linked to inflation, unemployment, and economic growth rates. These basic indicators can comprehensively and effectively reflect a country's or region's future economic development. The center of radial basis function neural network and smoothing factor to take a uniform distribution of the random radial basis function artificial neural network will be the focus of this study. This stochastic learning method is a useful addition to the existing methods for determining the center and smoothing factors of radial basis function neural networks, and it can also help the network more efficiently train. GDP forecasting is aided by the genetic algorithm radial basis neural network, which allows the government to make timely and effective macrocontrol plans based on the forecast trend of GDP in the region. This study uses the genetic algorithm radial basis, neural network model, to make judgments on the relationships contained in this sequence and compare and analyze the prediction effect and generalization ability of the model to verify the applicability of the genetic algorithm radial basis, neural network model, based on the modeling of historical data, which may contain linear and nonlinear relationships by itself, so this study uses the genetic algorithm radial basis, neural network model, to make, compare, and analyze judgments on the relationships contained in this sequence.
  5. Connectedness and spillover effects of US climate policy uncertainty on energy stock, alternative energy stock, and carbon future
    Hoque ME, Soo-Wah L, Bilgili F, Ali MH
    Environ Sci Pollut Res Int, 2023 Feb;30(7):18956-18972.
    PMID: 36223011 DOI: 10.1007/s11356-022-23464-0
    Global warming is pressuring policymakers to change climate policies in shifting the global economy onto a net-zero pathway. While financial assets are responsive to policy changes and development, climate change policies are becoming increasingly unpredictable, making policy decision less certain. This study investigates connectedness and spillover effects of US climate policy uncertainty on energy stocks, alternative energy stocks, and carbon emissions futures. We analyzed spillover and connectedness before and after the Paris Agreement. We employed monthly frequency data from August 2005 to March 2021 and applied DY (2012) method and MGARCH approach. We found that world energy stocks and carbon emissions futures are connected to US climate policy uncertainty. Uncertainty in climate policy and world energy stocks act as information transmitters in return spillover, while global alternative energy and carbon market are shock receivers. On volatility spillover, climate policy uncertainty, energy stocks, and carbon emissions future are shocks transmitters, while alternative energy stocks are receivers. We observe increase in connectedness following the Paris Agreement suggesting strengthened global efforts in tackling climate change. DCC and ADCC estimations revealed spillover effects of climate policy on futures returns and volatilities of world energy stocks and carbon emissions futures and the shocks could be transmitted through to the energy sector. During period of uncertainty in US climate policy, carbon allowances can potentially serve as a safe haven for energy stocks and provide downside protection for alternative energy stocks, hence hedging against climate transition risks.
  6. Fulltext International Trade Path with Multi-Polarization based on Multidirectional Mutation Genetic Algorithm Enabled Neural Network
    Zhang Q, Chong CW, Abdullah AR, Ali MH
    Comput Intell Neurosci, 2021;2021:1370180.
    PMID: 34691167 DOI: 10.1155/2021/1370180
    At present, the development speed of international trade cannot catch up with the economic development speed, and the insufficient development speed of international trade will directly affect the rapid development of national economy. In order to solve the problem of international trade, the overall optimal scheduling of trade vehicles and the optimal planning of trade transportation path are very important to improve enterprise services, reduce enterprise costs, increase enterprise benefits, and enhance enterprise competitiveness. The second development of the program is based on the programming interface provided by Baidu map. This paper proposes a neural network algorithm for genetic optimization of multiple mutations, which overcomes the shortcoming of traditional genetic algorithm population "ten" character distribution by mixing multiple coding methods, and enhances the local search ability of genetic algorithm by introducing a new large-mutation small-range search population. The example application shows that the optimization method can realize the optimization of international trade path under real road conditions and greatly improve the work efficiency of actual trade.
  7. Assessment of multidrug-resistant tuberculosis (MDR-TB) treatment outcomes in Sudan; findings and implications
    Ali MH, Alrasheedy AA, Kibuule D, Godman B, Hassali MA, Ali HMH
    Expert Rev Anti Infect Ther, 2019 11;17(11):927-937.
    PMID: 31689134 DOI: 10.1080/14787210.2019.1689818
    Background: Multidrug-resistant tuberculosis (MDR-TB) has a socioeconomic impact and threatens global public health. We assessed treatment outcomes of MDR-TB and predictors of poor treatment outcomes in Sudan given current high prevalence rates.Methods: Combined retrospective and prospective cohort study at Abu-Anga hospital (TB specialized hospital in Sudan). All patients with MDR-TB between 2013 and 2017 were targeted.Results: A total of 156 patients were recruited as having good records, 117 (75%) were male, and 152 (97.4%) had pulmonary TB. Patients were followed for a median of 18 months and a total of 2108 person-months. The overall success rate was 63.5% and the mortality rate was 14.1%. Rural residency (P < 0.05) and relapsing on previous treatments (P < 0.05) were determinants of time to poor MDR-TB treatment outcomes.Conclusion: Overall, more attention needs to be given to special MDR-TB groups that are highly susceptible to poor outcomes, i.e. rural patients. As a result, it is highly recommended to maintain total coverage of medicines for all MDR-TB patients for the entire period of treatment in Sudan. It is also recommended to instigate more treatment centers in rural areas in Sudan together with programs to enhance adherence to treatments including patient counseling to improve future outcomes.
  8. Fulltext Isoniazid acetylation phenotypes in the Sudanese population; findings and implications
    Ali MH, Alrasheedy AA, Kibuule D, Hassali MA, Godman B, Abdelwahab MF, et al.
    J Clin Tuberc Other Mycobact Dis, 2019 Dec;17:100120.
    PMID: 31788562 DOI: 10.1016/j.jctube.2019.100120
    Background: Isoniazid (INH) is the mainstay antimicrobial in the treatment of tuberculosis (TB). It is acetlylated in the liver to acetyl-INH. However, there is variation in rate of acetylation of INH among TB patients (i.e. fast, intermediate or slow acetylators) which impacts on the treatment outcomes.

    Aim: The isoniazid acetylation phenotypes in the expatriate Sudanese population were determined to provide future guidance since TB is prevalent in Sudan.

    Methods: A community-based trial among Sudanese expatriates in Saudi Arabia was undertaken to identify INH-acetylation phenotypes. After overnight fasting, a single dose of 200 mg of INH was given to the volunteers. Three hours later, 5 ml of blood were drawn from each volunteer and prepared for High-Performance Liquid Chromatography (HPLC) analysis. The main outcomes were INH and Acetyl-INH concentrations in plasma and the subsequent Acetyl-INH/INH metabolic ratio (MR).

    Results: The findings suggest that slow acetylation is highly prevalent among the study participants (n = 43; 84.31%). Moreover, there was no statistically significant correlation between age and the MR (r = -0.18, P = 0.20). Further, there was no significant association between gender and the MR (P = 0.124). Similarly, no significant association was found between smoking habits and MR (P = 0.24).

    Conclusion: Isoniazid phenotyping suggests predominantly slow acetylation among the Sudanese in this sample. The study found no statistically significant associations between the MR and age or gender or smoking.

  9. Fulltext Supply chain resilience reactive strategies for food SMEs in coping to COVID-19 crisis
    Ali MH, Suleiman N, Khalid N, Tan KH, Tseng ML, Kumar M
    Trends Food Sci Technol, 2021 Mar;109:94-102.
    PMID: 34728899 DOI: 10.1016/j.tifs.2021.01.021
    BACKGROUND: The ability of small- and medium-sized enterprises in the food industry (FSMEs) in cultivating resilience against the COVID-19 pandemic is vital food security. However, there is limited supply chain resilience literature to guide FSMEs in overcoming disruptions caused by pandemic.

    SCOPE AND APPROACH: This review aims to provide a broad view of SCRes reactive strategies for FSMEs in dealing with crises in the context of COVID-19. Attention is given to the literature on resilience in other types of supply chain and situated in the context of food settings. The factors are monitored or controlled to contribute to FSME resiliency.Key findings and conclusion: Four quadrants, i.e., (1) rapid with low cost, (2) rapid with high cost, (3) slow with low cost and (4) slow with high cost, are offered based on the limitations and the time needed to react, and the strategies of each quadrant are explained in depth. This review also provides a better understanding of and guidance on reactive strategies for SCRes as options for FSMEs in dealing with the COVID-19 pandemic. This review suggests future directions as extensions based on the logical flow of this review.

  10. Fulltext Modeling the adoption of medical wearable devices among the senior adults: Using hybrid SEM-neural network approach
    Xinyan Z, Mamun AA, Ali MH, Siyu L, Yang Q, Hayat N
    Front Public Health, 2022;10:1016065.
    PMID: 36388276 DOI: 10.3389/fpubh.2022.1016065
    The world is witnessing an increasing number of senior adult residents who experience health issues. Healthcare innovation facilitates monitoring the health conditions of senior adults and reducing the burden on healthcare institutions. The study explored the effect of health improvement expectancy, effort expectancy, price value, perceived vulnerability, health consciousness, and perceived reliability on the intention and adoption of medical wearable devices (MWD) among senior adults in China. Furthermore, a cross-sectional design was adopted, while quantitative data was collected from 304 senior adults through an online survey. A hybrid approach of partial least square structural equational modeling and artificial neural network-based analysis technique was adopted. The findings demonstrated that health improvement expectancy, perceived vulnerability, price value, and perceived reliability significantly affected the intention to adopt MWDs. Moreover, the intention to adopt MWDs significantly positively affected the actual adoption of MWDs among senior adults. Although the moderating effect of the pre-existing conditions and income between the intention to use MWDs and actual adoption of MWDs was positive, it was not statistically significant. The artificial neural network analysis has proven that perceived reliability, price value, and vulnerability are the most critical factors contributing to the intention to use MWDs. The current study offered valuable insights into the factors affecting the intention and adoption of MWDs among senior adults. Following that, theoretical and practical contributions were documented to improve the ease of use and price value for the prospective users of MWDs. The correct healthcare policies could curtail the influx of senior adults into the hospital and empower these adults to track and manage their health issues at home.
  11. Fulltext Understanding barriers and motivations in solid waste management from Malaysian industries: a comparative analysis
    Soomro MA, Ali MH, Zailani S, Tseng ML, Makhbul ZM
    Environ Sci Pollut Res Int, 2023 Jan;30(3):5717-5729.
    PMID: 35978247 DOI: 10.1007/s11356-022-22558-z
    The objective of this study is to explore the similarities and differences in the barriers and motivations between the plastic and resins and food and beverages industries as these two industries are the major contributors of solid waste in Malaysia. Prior studies are lacking with regard to explaining the barriers and motivations in solid waste management from the Malaysian context. This study is focused on 10 firms from the plastics and resins industry and 9 from the food and beverages industry in Malaysia. Through Rasch measurement theory, the results indicate that the barriers of lack of skills and qualifications and lack of closed-loop control and the motivations of cost savings and a business model are performed differently. The findings further confirm that the lack of skills and qualifications is a more difficult barrier to overcome than the lack of closed-loop control, while the motivation factor of a business model is more difficult to achieve than cost savings. In terms of practical contribution, this study provides results that can help policy makers in Malaysia to close the gaps present regarding the adoption of solid waste management practices and to devise appropriate incentives. The study also supports managers of companies in regard to working on the most pressing hindering and promoting factors in the field of solid waste management.
  12. Fulltext Exploring food waste during the COVID-19 pandemic among Malaysian consumers: The effect of social media, neuroticism, and impulse buying on food waste
    Lahath A, Omar NA, Ali MH, Tseng ML, Yazid Z
    Sustain Prod Consum, 2021 Oct;28:519-531.
    PMID: 34722847 DOI: 10.1016/j.spc.2021.06.008
    The amount of food being thrown away despite being in an edible condition has become alarming in countries with populations with medium and high incomes. Changes in consumer behaviour, such as overbuying, are some of the major impetuses of food waste. This study aimed to examine the relationship between food waste and social media usage, neuroticism, and impulse buying. The mediating role of impulse buying and the moderating role of neuroticism on food waste during the coronavirus (COVID-19) pandemic were also uncovered in this study. A self-administered online survey was distributed to a total of 274 consumers who had experienced a lockdown during the COVID-19 outbreak and were also regular buyers of food. Empirical findings supported the fact that social media usage, neuroticism, and impulse buying were positively related to food waste. Impulse buying mediates the relationship between social media usage and food waste, as well as between neuroticism and food waste. The study results also revealed that neuroticism positively moderates the relationship between social media usage and food waste. This paper offers new insights into efforts for sustainable food consumption to tackle the issue of food waste.
  13. Fulltext Modelling the significance of celebrity endorsement and consumer interest on attitude, purchase intention, and willingness to pay a premium price for green skincare products
    Al Mamun A, Naznen F, Yang Q, Ali MH, Hashim NMHN
    Heliyon, 2023 Jun;9(6):e16765.
    PMID: 37292299 DOI: 10.1016/j.heliyon.2023.e16765
    Due to the major shift in online purchasing during the COVID-19 lockdown, celebrity endorsement marketing has gained traction. Concurrently, COVID-19 has also transformed consumers' attitudes toward using eco-friendly products, such as green skincare products, to ensure a healthier lifestyle. This study developed a comprehensive framework based on the stimuli-organism-response theory and the parasocial interaction theory to empirically evaluate the impact of celebrities' credibility attributes and consumers' interests in celebrities on their attitudes towards advertisements for endorsed green skincare products, their intentions to make a purchase, and their willingness to pay a premium price for these products. 778 Malaysian consumers participated in the online survey, and their responses were analyzed using partial least squares structural equation modelling (PLS-SEM). The results showed the positive effects of credibility traits (trustworthiness - β = 0.100, p-value = 0.026; exquisite personality - β = 0.075, p-value = 0.028; dignified image - β = 0.152, p-value = 0.001; expertise - β = 0.221, p-value <0.001), and customer attention to celebrities (β = 0.184, p-value <0.001) on their attitudes toward endorsed advertisements. Likewise, credibility features (exquisite personality - β = 0.116, p-value = 0.002; dignified image - β = 0.112, p-value = 0.017; expertise - β = 0.207, p-value <0.001) and customers' companionship with celebrities (β = 0.142, p-value = 0.001) also have a significant positive impact on attitudes towards brands. Finally, consumers' purchasing intentions and willingness to pay premium prices for green skincare products were strongly influenced by their attitude toward advertising (β = 0.484, p-value <0.001) and brands (β = 0.326, p-value <0.001). Evidently, the findings of this study may help players in the cosmetics industry enhance their marketing and promotion tactics for eco-friendly beauty and personal care products.
  14. Developing a hierarchical framework for assessing the strategic effectiveness of sustainable waste management in the Somaliland construction industry
    Negash YT, Hassan AM, Tseng ML, Ali MH, Lim MK
    Environ Sci Pollut Res Int, 2023 May;30(25):67303-67325.
    PMID: 37103710 DOI: 10.1007/s11356-023-27060-8
    This study contributes to develop a hierarchical framework for assessing the strategic effectiveness of waste management in the construction industry. This study identifies a valid set of strategic effectiveness attributes of sustainable waste management (SWM) in construction. Prior studies have neglected to develop a strategic effectiveness assessment framework for SWM to identify reduce, reuse, and recycle policy initiatives that ensure waste minimization and resource recovery programs. This study utilizes the fuzzy Delphi method to screen out nonessential attributes in qualitative information. This study initially proposes a set of 75 criteria; after two rounds of assessment, consensus regarding 28 criteria is achieved among experts, and the 28 criteria are validated. Fuzzy interpretive structural modeling divides the attributes into various elements. The modeling constructs a six-level model that depicts the interrelationships among the 28 validated criteria as a hierarchical framework, and it finds and ranks the optimal drivers for practical improvement. This study integrates the best-worst method to measure the weights of different criteria in the hierarchical strategic effectiveness framework. The findings reveal that waste management operational strategy, construction site waste management performance, and the mutual coordination level are the top aspects for assessing strategic effectiveness in the hierarchical framework. In practice, the waste reduction rate, the recycling rate, water and land usage, the reuse rate, and noise and air pollution levels are identified to assist policymakers in evaluation. The theoretical and managerial implications are discussed.
  15. Fulltext The relationship between mass customization and sustainable performance: The role of firm size and global E-commerce
    Hui G, Al Mamun A, Masukujjaman M, Makhbul ZKM, Ali MH
    Heliyon, 2024 Mar 30;10(6):e27726.
    PMID: 38509960 DOI: 10.1016/j.heliyon.2024.e27726
    The formation of mass customization competencies is crucial for the increasing number of manufacturing companies in modern times. This study assessed the relationship between mass customization capability and its determinants on sustainable performance. Additionally, it explores the mediating role of mass customization capability and sustainable performance, while also examining the moderating effects of firm size and cross-border eCommerce in these associations. The study used online survey data from 339 manufacturing small-to-medium-sized enterprises in China to test the hypothesized relationships. The collected data were analyzed using partial least square structural equation modeling and necessary condition analysis. The results indicated that flexible manufacturing competencies, modular product architecture, and customer relationship management are significantly and positively connected to mass customization capability. Moreover, the study observed that mass customization capability and competitive pressure have a significant positive influence on the sustainable performance of Chinese manufacturing SMEs. The findings also revealed that firm size and cross-border e-commerce engagement have a negative and positive moderating effect, respectively, between mass customization capability on sustainable performance, which confirms a relatively higher effect of customization capability on sustainable performance among smaller firms and firms engaged in cross-border eCommerce. Fundamentally, these findings can lead to the development of a comprehensive framework to promote mass customization capability, cross-border e-commerce, and sustainable development of manufacturing small-to-medium-sized enterprises China.
  16. Fulltext Desire to stay shorter time at the shopping mall: insight from protection motivation (PMT), behavioral inhibition system (BIS), reactance, and expectancy theories
    Alam SS, Masukujjaman M, Al-Shaikh ME, Ali MH, Makhbul ZKM, Othman AS
    Curr Psychol, 2022 Dec 17.
    PMID: 36570056 DOI: 10.1007/s12144-022-04117-4
    After withdrawing the movement control order (MCO), new variant (Omicron) of COVID-19 returns as an outbreak again. Therefore, consumers are very much informed by various media to be more cautious in visiting shopping malls and spend less time in there. The purpose of this study was to identify the predictors influencing the desire to stay shorter at the shopping mall. This study was conducted in Malaysia, with the application of three psychological theories and one behavioural theory. This is quantitative research based on an online cross-sectional survey design. Data were collected from 296 respondents, by applying the online snowball sampling method through numerous media platforms i.e., Viber, WhatsApp, Messenger, and other apps in three severely affected cities in Malaysia i.e., Selangor state, Putrajaya, and Kuala Lumpur. SmartPLS was used to analyse the data. Using structural equation modelling, this study result shows risk, protection motivation, and fear have a significant effect on the desire to stay a shorter time at the shopping mall. Social norm moderates the association between fear and the desire to spend a shorter time at the shopping mall. These findings, highlight the need for a more empirical study to design more robust strategies, and a safer and risk-free shopping mall environment.
  17. The adsorptive removal of chromium (VI) in aqueous solution by novel natural zeolite based hollow fibre ceramic membrane
    Adam MR, Salleh NM, Othman MHD, Matsuura T, Ali MH, Puteh MH, et al.
    J Environ Manage, 2018 Oct 15;224:252-262.
    PMID: 30055458 DOI: 10.1016/j.jenvman.2018.07.043
    Adsorption is one of the most efficient ways to remove heavy metal from wastewater. In this study, the adsorptive removal of hexavalent chromium, Cr (VI) from aqueous solution was investigated using natural zeolite, clinoptilolite, in the form of hollow fibre ceramic membrane (HFCM). The HFCM sample was prepared using phase inversion-based extrusion technique and followed by sintering process at different sintering temperatures in the range of 900-1050 °C. The fabricated HFCM was characterised using scanning electron microscopy (SEM), contact angle, water permeability, and mechanical strength for all HFCMs sintered at different temperatures. The adsorption and filtration test of Cr (VI) were performed using an in-house water permeation set up with a dead-end cross-flow permeation test. An asymmetric structure with sponge- and finger-like structures across the cross-section of HFCM was observed using SEM. Based on the characterisation data, 1050 °C was chosen to be the best sintering temperature as the water permeability and mechanical strength of this HFCM were 29.14 L/m2∙h and 50.92 MPa, respectively. The performance of the HFCM in adsorption/filtration was 44% of Cr (VI) removal at the Cr (VI) concentration of 40 mg/L and pH 4. In addition, the mathematical model was also performed in simulating the experimental data obtained from this study. All in all, the natural zeolite-based HFCM has a potential as a single-step Cr (VI) removal by membrane adsorption for the wastewater treatment.
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