Displaying all 10 publications

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  1. Sue Shan, L., Sulaiman, R., Sanny, M., Nur Hanani, Z.A.
    MyJurnal
    The aim of this study was to evaluate the effect of barrel temperature and flour types on the residence time and physical properties of various flour extrudates. Corn flour, rice flour, corn flour with potato starch (30% w/w, d.b), and rice flour with potato starch (30%w/w, d.b) were extruded at screw speed of 75rpm, feed moisture at 25% (w/w, w.b.), barrel temperature ranging from 80°C to 140°C and die size of 1.88mm. The extrudates were dried at 50°C overnight and further analysed. Results showed that an increase in extruder barrel temperature decreased the residence time of the flours in the extruder (from 4.11-11.32min to 2.24-6.76min), but increased the expansion ratio, rehydration ratio, water absorption index, water solubility index and b value of the extrudate (p≤0.05). The extrudates had the mean residence time and physical properties of rice flour
  2. Huang X, Shan L, Cheng K, Weng W
    ACS Biomater Sci Eng, 2017 Dec 11;3(12):3254-3260.
    PMID: 33445368 DOI: 10.1021/acsbiomaterials.7b00551
    The topography at the micro/nanoscale level for biomaterial surfaces has been thought to play vital roles in their interactions with cells. However, discovering the interdisciplinary mechanisms underlying how cells respond to micro-nanostructured topography features still remains a challenge. In this work, ∼37 μm 3D printing used titanium microspheres and their further hierarchical micro-nanostructured spheres through hydrothermal treatment were adopted to construct typical model surface topographies to study the preosteoblastic cell responses (adhesion, proliferation, and differentiation). We here demonstrated that not only the hierarchical micro-nanostructured surface topography but also their distribution density played critical role on cell cytocompatibility. The microstructured topography feature surface with middle-density distributed titanium microspheres showed significantly enhanced cell responses, which might be attributed to the better cellular interaction due to the cell aggregates. However, the hierarchical micro-nanostructured topography surface, regardless of the distribution density of titanium microspheres, improved the cell-surface interactions because of the enhanced initial protein adsorption, thereby reducing the cell aggregates and consequently their responses. This work, therefore, provides new insights into the fundamental understanding of cell-material interactions and will have a profound impact on further designing micro-nanostructured topography surfaces to control cell responses.
  3. Kampan N, Irianta T, Djuana A, Pei Shan L, Hashim Omar M, Hatta Mohd Dali AZ
    Case Rep Obstet Gynecol, 2012;2012:134032.
    PMID: 22645693 DOI: 10.1155/2012/134032
    Growing teratoma syndrome is rare and usually it occurs in the younger aged group. The use of chemotherapy following initial surgical resection will yield the diagnosis following tumour enlargement. Complete resection is usually curative and renders better prognosis.
  4. Shan L, Tan CY, Shen X, Ramesh S, Kolahchi R, Hajmohammad MH, et al.
    Materials (Basel), 2022 Dec 15;15(24).
    PMID: 36556764 DOI: 10.3390/ma15248959
    Lightweight aluminum alloy components are often used to manufacture a variety of engineering components in many industries. In recent years, researchers have studied the effect of improving the mechanical properties of metal alloys by incorporating nano-carbon into its structure. In this study, the effect of the addition of 0.2, 0.5, and 1 wt% of multi-walled carbon nanotubes (MWCNTs) on the stress-strain behavior and creep phenomenon of an A356 aluminum alloy were studied. The effect of nickel coating on 0.2 wt% MWCNTs was also investigated. Samples were prepared using the stir-casting method. The results revealed that the grain size became finer when MWCNT nano-particulates were introduced. Although the MWCNTs were distributed homogeneously in the A356 matrix, as confirmed by FESEM analysis, there were some agglomerations observed in a specific area with dimensions smaller than 100 nm. Nevertheless, the addition of MWCNTs was found to be beneficial in enhancing the hardness of alloys containing 0.2 wt%, 0.2 wt% nickel-coated, 0.5 wt%, and 1 wt% MWCNTs by 9%, 24%, 32%, and 15%, respectively, as compared with the unreinforced A345 matrix. It was also found that the 0.5 wt% MWCNT-A356 matrix exhibited an improvement in the creep lifetime by more than two orders of magnitude.
  5. Guo P, Wang R, Li J, Qin Y, Meng N, Shan L, et al.
    Eur J Psychotraumatol, 2024;15(1):2386226.
    PMID: 39355978 DOI: 10.1080/20008066.2024.2386226
    Background: There is a strong causal relationship between intimate partner violence and major depressive disorder, which partly endangers women's safety across the life course and potentially affects the development of future generations. The international community has placed a high priority on addressing the intimate partner violence and the resulting burden of mental illness. Data collection needs to be captured across the temporal trend and spatial distribution for major depressive disorder attributed to intimate partner violence, to reflect the priorities and expectations of survivors.Method: This research obtained raw disability-adjusted life years (DALYs) information for major depressive disorder attributed to intimate partner violence from the Global Burden of Disease 2019. Using estimated annual percentage change and two-way fixed effects models, a secondary spatio-temporal analysis of the age-standardized DALYs rate from 1990 to 2019 was performed.Results: In 2019, DALYs lost among women experiencing major depressive disorder (3.16 million) accounted for 37.18% of the DALYs lost worldwide due to intimate partner violence. The age-standardized DALYs rate of major depressive disorder attributed to intimate partner violence was 108.57 per 100,000. The highest was concentrated in the menopausal transition (45-55), with 133.61 per 100,000, and particularly distributed in Uganda (429.31 per 100,000). The early reproductive period (15-19) showed the increasing age-standardized DALYs rate from 1990 to 2019, which was mainly driven by Malaysia (3.73% per year). Furthermore, countries with higher initial levels of the age-standardized DALYs rate were growing faster than those with lower levels.Conclusions: The burden of major depressive disorder attributed to intimate partner violence showed biological and spatial inequality, prioritized intervention should be targeted at vulnerable stage women in their early reproductive period and menopausal transition. Combined political, socio-cultural as well as medical measures to prevent violence and treat major depressive disorder should be implemented and developed.
  6. Chen Y, Gong Y, Shan L, Tan CY, Al-Furjan MS, Ramesh S, et al.
    Materials (Basel), 2023 Jul 28;16(15).
    PMID: 37570016 DOI: 10.3390/ma16155312
    Cartilage damage is difficult to heal and poses a serious problem to human health as it can lead to osteoarthritis. In this work, we explore the application of biological 3D printing to manufacture new cartilage scaffolds to promote cartilage regeneration. The hydrogel made by mixing sodium alginate (SA) and gelatin (GA) has high biocompatibility, but its mechanical properties are poor. The addition of hydroxyapatite (HA) can enhance its mechanical properties. In this paper, the preparation scheme of the SA-GA-HA composite hydrogel cartilage scaffold was explored, the scaffolds prepared with different concentrations were compared, and better formulations were obtained for printing and testing. Mathematical modeling of the printing process of the bracket, simulation analysis of the printing process based on the mathematical model, and adjustment of actual printing parameters based on the results of the simulation were performed. The cartilage scaffold, which was printed using Bioplotter 3D printer, exhibited useful mechanical properties suitable for practical needs. In addition, ATDC-5 cells were seeded on the cartilage scaffolds and the cell survival rate was found to be higher after one week. The findings demonstrated that the fabricated chondrocyte scaffolds had better mechanical properties and biocompatibility, providing a new scaffold strategy for cartilage tissue regeneration.
  7. Shan L, Kadhum AAH, Al-Furjan MSH, Weng W, Gong Y, Cheng K, et al.
    Materials (Basel), 2019 Mar 10;12(5).
    PMID: 30857349 DOI: 10.3390/ma12050815
    It is well known that three-dimensional (3D) printing is an emerging technology used to produce customized implants and surface characteristics of implants, strongly deciding their osseointegration ability. In this study, Ti alloy microspheres were printed under selected rational printing parameters in order to tailor the surface micro-characteristics of the printed implants during additive manufacturing by an in situ, controlled way. The laser path and hatching space were responsible for the appearance of the stripy structure (S), while the bulbous structure (B) and bulbous⁻stripy composite surface (BS) were determined by contour scanning. A nano-sized structure could be superposed by hydrothermal treatment. The cytocompatibility was evaluated by culturing Mouse calvaria-derived preosteoblastic cells (MC3T3-E1). The results showed that three typical microstructured surfaces, S, B, and BS, could be achieved by varying the 3D printing parameters. Moreover, the osteogenic differentiation potential of the S, B, and BS surfaces could be significantly enhanced, and the addition of nano-sized structures could be further improved. The BS surface with nano-sized structure demonstrated the optimum osteogenic differentiation potential. The present research demonstrated an in situ, controlled way to tailor and optimize the surface structures in micro-size during the 3D printing process for an implant with higher osseointegration ability.
  8. Zhang J, Xue F, Liu SD, Liu D, Wu YH, Zhao D, et al.
    World J Gastrointest Surg, 2023 Mar 27;15(3):387-397.
    PMID: 37032800 DOI: 10.4240/wjgs.v15.i3.387
    BACKGROUND: Surgical site infections (SSIs) are the commonest healthcare-associated infection. In addition to increasing mortality, it also lengthens the hospital stay and raises healthcare expenses. SSIs are challenging to predict, with most models having poor predictability. Therefore, we developed a prediction model for SSI after elective abdominal surgery by identifying risk factors.

    AIM: To analyse the data on inpatients undergoing elective abdominal surgery to identify risk factors and develop predictive models that will help clinicians assess patients preoperatively.

    METHODS: We retrospectively analysed the inpatient records of Shaanxi Provincial People's Hospital from January 1, 2018 to January 1, 2021. We included the demographic data of the patients and their haematological test results in our analysis. The attending physicians provided the Nutritional Risk Screening 2002 (NRS 2002) scores. The surgeons and anaesthesiologists manually calculated the National Nosocomial Infections Surveillance (NNIS) scores. Inpatient SSI risk factors were evaluated using univariate analysis and multivariate logistic regression. Nomograms were used in the predictive models. The receiver operating characteristic and area under the curve values were used to measure the specificity and accuracy of the model.

    RESULTS: A total of 3018 patients met the inclusion criteria. The surgical sites included the uterus (42.2%), the liver (27.6%), the gastrointestinal tract (19.1%), the appendix (5.9%), the kidney (3.7%), and the groin area (1.4%). SSI occurred in 5% of the patients (n = 150). The risk factors associated with SSI were as follows: Age; gender; marital status; place of residence; history of diabetes; surgical season; surgical site; NRS 2002 score; preoperative white blood cell, procalcitonin (PCT), albumin, and low-density lipoprotein cholesterol (LDL) levels; preoperative antibiotic use; anaesthesia method; incision grade; NNIS score; intraoperative blood loss; intraoperative drainage tube placement; surgical operation items. Multivariate logistic regression revealed the following independent risk factors: A history of diabetes [odds ratio (OR) = 5.698, 95% confidence interval (CI): 3.305-9.825, P = 0.001], antibiotic use (OR = 14.977, 95%CI: 2.865-78.299, P = 0.001), an NRS 2002 score of ≥ 3 (OR = 2.426, 95%CI: 1.199-4.909, P = 0.014), general anaesthesia (OR = 3.334, 95%CI: 1.134-9.806, P = 0.029), an NNIS score of ≥ 2 (OR = 2.362, 95%CI: 1.019-5.476, P = 0.045), PCT ≥ 0.05 μg/L (OR = 1.687, 95%CI: 1.056-2.695, P = 0.029), LDL < 3.37 mmol/L (OR = 1.719, 95%CI: 1.039-2.842, P = 0.035), intraoperative blood loss ≥ 200 mL (OR = 29.026, 95%CI: 13.751-61.266, P < 0.001), surgical season (P < 0.05), surgical site (P < 0.05), and incision grade I or III (P < 0.05). The overall area under the receiver operating characteristic curve of the predictive model was 0.926, which is significantly higher than the NNIS score (0.662).

    CONCLUSION: The patient's condition and haematological test indicators form the bases of our prediction model. It is a novel, efficient, and highly accurate predictive model for preventing postoperative SSI, thereby improving the prognosis in patients undergoing abdominal surgery.

  9. Hayrapetyan A, Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, et al.
    Phys Rev Lett, 2024 Jun 28;132(26):261902.
    PMID: 38996325 DOI: 10.1103/PhysRevLett.132.261902
    A combination of fifteen top quark mass measurements performed by the ATLAS and CMS experiments at the LHC is presented. The datasets used correspond to an integrated luminosity of up to 5 and 20  fb^{-1} of proton-proton collisions at center-of-mass energies of 7 and 8 TeV, respectively. The combination includes measurements in top quark pair events that exploit both the semileptonic and hadronic decays of the top quark, and a measurement using events enriched in single top quark production via the electroweak t channel. The combination accounts for the correlations between measurements and achieves an improvement in the total uncertainty of 31% relative to the most precise input measurement. The result is m_{t}=172.52±0.14(stat)±0.30(syst)  GeV, with a total uncertainty of 0.33 GeV.
  10. Aad G, Abbott B, Abeling K, Abicht NJ, Abidi SH, Aboulhorma A, et al.
    Phys Rev Lett, 2024 Jan 12;132(2):021803.
    PMID: 38277607 DOI: 10.1103/PhysRevLett.132.021803
    The first evidence for the Higgs boson decay to a Z boson and a photon is presented, with a statistical significance of 3.4 standard deviations. The result is derived from a combined analysis of the searches performed by the ATLAS and CMS Collaborations with proton-proton collision datasets collected at the CERN Large Hadron Collider (LHC) from 2015 to 2018. These correspond to integrated luminosities of around 140  fb^{-1} for each experiment, at a center-of-mass energy of 13 TeV. The measured signal yield is 2.2±0.7 times the standard model prediction, and agrees with the theoretical expectation within 1.9 standard deviations.
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