Machine learning-based classification of structured light modes under turbulence and eavesdropping effects.

This paper considers the classification of multiplexed structured light modes, aiming to bolster communication reliability and data transfer rates, particularly in challenging scenarios marked by turbulence and potential eavesdropping. An experimental free-space optic (FSO) system is established to transmit 16 modes [8-ary Laguerre Gaussian (LG) and 8-ary superposition LG (Mux-LG) mode patterns] over a 3-m FSO channel, accounting for interception threats and turbulence effects. To the best of authors' knowledge, this paper is the first to consider both factors concurrently. We propose four machine/deep learning algorithms-artificial neural network, support vector machine, 1D convolutional neural network, and 2D convolutional neural network-for classification purposes. By fusing the outputs of these methods, we achieve promising classification results exceeding 92%, 81%, and 69% in cases of weak, moderate, and strong turbulence, respectively. Structured light modes exhibit significant potential for a variety of real-world applications where reliable and high-capacity data transmission is crucial.

Transient elastography for the prevalence of non-alcoholic fatty liver disease in patients with type 2 diabetes: Evidence from the CORDIAL cohort study.

Background: Non-alcoholic fatty liver disease (NAFLD) is highly prevalent in patients with type 2 diabetes mellitus (T2DM). This study aimed to investigate the prevalence of NAFLD among Saudi patients with T2DM using transient elastography. Methods: A total of 490 patients with T2DM who attended diabetes and primary care clinics were recruited. Controlled attenuation parameter (CAP) and liver stiffness measurements (LSM) were obtained via FibroScan to assess steatosis and fibrosis. Results: Of the examined 490 patients with T2DM, 396 (80.8%) had hepatic steatosis (CAP ≥248 dB/m): 326 (66.5%) had severe steatosis (CAP ≥280 dB/m), while 41 (8.4%) and 29 (5.9%) had mild (CAP ≥248 to <268 dB/m) and moderate steatosis (CAP ≥268 to <280 dB/m), respectively. Of the 396 patients with steatosis, only 35 (8.8%) had LSM ≥7.9 kPa, suggesting the presence of fibrosis, while 361 (91%) had LSM <7.9 kPa, indicating the absence of fibrosis. Increased body mass index (BMI), waist circumference, systolic blood pressure (SBP), and alanine aminotransferase (ALT) were positively associated with both steatosis and fibrosis. After adjusting for age and gender, data from logistic regression analysis demonstrated BMI, waist circumference, SBP, ALT, and high-density lipoprotein (HDL) as significant independent factors for steatosis, while SBP was the only significant predictor associated with fibrosis. Conclusions: Our results demonstrate an increase in prevalence of NAFLD in Saudi patients with T2DM, based on transient elastography and CAP score. The risk of NAFLD appears to be higher in T2DM patients with abdominal obesity, elevated SBP, and increased ALT levels, which supports the screening of these conditions in patients with T2DM.

Acute and chronic saturated fatty acid treatment as a key instigator of the TLR-mediated inflammatory response in human adipose tissue, in vitro.

A post-prandial increase in saturated fatty acids (SFAs) and glucose (Glc) activates an inflammatory response, which may be prolonged following restoration of physiological SFAs and Glc levels--a finding referred to as 'metabolic memory'. This study examined chronic and oscillating SFAs and Glc on the inflammatory signalling pathway in human adipose tissue (AT) and adipocytes (Ads) and determined whether Ads are subject to "metabolic memory." Abdominal (Abd) subcutaneous (Sc) explants and Ads were treated with chronic low glucose (L-Glc): 5.6 mM and high glucose (H-Glc): 17.5 mM, with low (0.2 mM) and high (2 mM) SFA for 48 h. Abd Sc explants and Ads were also exposed to the aforementioned treatment regimen for 12-h periods, with alternating rest periods of 12 h in L-Glc. Chronic treatment with L-Glc and high SFAs, H-Glc and high SFAs up-regulated key factors of the nuclear factor-κB (NFκB) pathway in Abd Sc AT and Ads (TLR4, NFκB; P<.05), whilst down-regulating MyD88. Oscillating Glc and SFA concentrations increased TLR4, NFκB, IKKß (P<.05) in explants and Ads and up-regulated MyD88 expression (P<.05). Both tumor necrosis factor α and interleukin 6 (P<.05) secretion were markedly increased in chronically treated Abd Sc explants and Ads whilst, with oscillating treatments, a sustained inflammatory effect was noted in absence of treatment. Therefore, SFAs may act as key instigators of the inflammatory response in human AT via NFκB activation, which suggests that short-term exposure of cells to uncontrolled levels of SFAs and Glc leads to a longer-term inflammatory insult within the Ad, which may have important implications for patients with obesity and Type 2 diabetes.

Genetic study of Saudi diabetes (GSSD): significant association of the KCNJ11 E23K polymorphism with type 2 diabetes.

BACKGROUND: The E23K variant of KCNJ11 has been associated with type 2 diabetes (T2D) in several but not all populations studied. Thus far, despite a high incidence of T2D, the role of this variant in Arabs has not been established. METHODS: We performed a case-control association study using 550 T2D Saudi patients (WHO criteria), and 335 controls (age>or=60; fasting plasma glucose<7 mmol/L). E23K genotyping was performed by using molecular beacon-based real time PCR assays. RESULTS: The difference in K or risk allele frequency of cases and controls was significant with an OR of 1.7 (p=0.0001). The K allele is more common among T2D patients (21%) than in the age and sex matched controls (13.6%). This was consistent with a likely eventual conversion to T2D of younger normoglycemic individuals as they grow older. CONCLUSIONS: Our results report for the first time a positive association of the E23K variant with T2D in an Arab population. Confirmation by a larger study is indicated.