Miracle-dz/UniFAR-FTUs huggingface dataset:
Engineering Heterologous Production of Salicylate Glucoside and Glycosylated Variants

Salicylate 2-O-β-D-glucoside (SAG) is a plant-derived natural product with potential utility as both an anti-inflammatory and as a plant protectant compound. Heterologous biosynthesis of SAG has been established in Escherichia coli through metabolic engineering of the shikimate pathways and introduction of a heterologous biosynthetic step to allow a more directed route to the salicylate precursor. The final SAG compound resulted from the separate introduction of an Arabidopsis thaliana glucosyltransferase enzyme. In this study, a range of heterologous engineering parameters were varied (including biosynthetic pathway construction, expression plasmid, and E. coli strain) for the improvement of SAG specific production in conjunction with a system demonstrating improved plasmid stability. In addition, the glucoside moiety of SAG was systematically varied through the introduction of the heterologous oliose and olivose deoxysugar pathways. Production of analogs was observed for each newly constructed pathway, demonstrating biosynthetic diversification potential; however, production titers were reduced relative to the original SAG compound.
Assessing the Quality of Decision Making in the Development and Regulatory Review of Medicines: Identifying Biases and Best Practices

Background: Although the quality of decision making (QDM) in the development and regulatory review of medicines influences the delivery of new products, there appears to be no suitable instrument to assess QDM in this area. The aim of this study was to assess differences in QDM using a validated instrument, the Quality of Decision-Making Orientation Scheme (QoDoS), to identify best practices and biases affecting individuals and their organization, as well as to assess differences in decision-making behaviors between pharmaceutical companies and regulatory agencies. QoDoS also enables the measurement against 10 quality decision-making practices (QDMPs) that underpin a quality process. Methods: QoDoS, consisting of 47 items that assess individual and organizational decision-making approaches and influences, was completed by 76 participants from regulatory agencies and pharmaceutical companies. Results: Having a systematic, structured approach to aid in decision making is achieved to a greater extent at an individual level (72%) compared with that of the organization (38%). Key differences between company and agency decision making were uncovered. While it was recognized that both stakeholders felt that their decision making could be improved (100% agencies; 92% companies), training in the science of decision making was rarely provided. Conclusions: QoDoS has the ability to measure differences in QDM between individuals and organizations within companies and agencies. The benefits of assessing QDMPs with QoDoS include enabling an increased awareness of biases and best practices that should be incorporated into a decision-making framework; increasing productivity and reducing uncertainty around decision making, thereby resulting in more predictable outcomes for organizations. In addition, it provides a basis for discussion of the issues in decision making within an organization as well as between stakeholders to encourage a level of partnership. Finally, measurements of QDM will enable trust, consistency, transparency, and timeliness to be built into critical decisions that affect medicines’ availability.
Improved Cross-Label Suppression Dictionary Learning for Face Recognition

Cross-label suppression dictionary learning is an effective approach to preserve the label property for signal representation in face recognition. This paper presents a proposed improved dictionary learning algorithm, considering the tradeoffs between the operating time and the signal reconstruction residuals for the face recognition problem that combines an optimal loss function and the cross-label suppression supervised dictionary learning approach. Based on the relationship of the cost time of the dictionary learning algorithm and the residuals of the sparse representations, this paper attempts to select an optimal sparse coding dimension for the original signal to reduce the computational cost. Experiments on face recognition confirm that our proposed algorithm is able to achieve a desired classification results as well as obtain a considerably faster dictionary learning process.
Pure Magnetic Logic Circuits: A Reliability Analysis

As CMOS technology downscales toward nanometer era, static power consumption due to transistor leakage currents and susceptibility to environmental noise like high-energy particles have become serious concerns. Nano-magnetic memory and logic elements have been proposed as a viable solution for hardening circuits against high-energy particles and overcoming the issue of increasing leakage power. This paper provides a comprehensive reliability analysis and comparison for different magnetic logic gate families. In addition, the cross effects of reliability, power consumption, and delay in the design of reliable magnetic logic gates are investigated and characterized.
Multi-objective Optimal Power Flow Problem Using DE-NSGA-III Algorithm

Multi-objective optimal power flow (MOOPF) is a large-scale non-linear, non-convex, non-smooth optimization problem with multiple, competing objective functions and non-linear constraints. In this paper, we proposed a modified NSGA-III called DE-NSGA-III to solve the MOOPF problem. The proposed algorithm utilizes a selection and mutation strategy of DE which makes the searching space larger to accelerates the convergence speed and acquire more optimal solutions. Moreover, the best compromise solution is extracted from the obtained Pareto optimal solutions by the proposed fuzzy-based mechanism. Several results carried out on IEEE 30-bus system using DE-NSGA-III are compared with those obtained by NSGA-II and NSGA-III. The simulation results reveal the effectiveness and superiority of the DE-NSGA-III algorithm to solve the MOOPF problem in finding optimal solution for the system considered.
Challenging obesity, diabetes, and addiction: the potential of lorcaserin extended release

Obesity is a global epidemic that is a leading cause of preventable death. In addition to lifestyle modification, there are numerous obesity treatments for clinicians to consider, including medications. Lorcaserin immediate release/extended release (IR/XR) is a US Food and Drug Administration approved medication for overweight and obese patients to be used with lifestyle modifications. Lorcaserin is thought to reduce weight by targeting the serotonin (5HT2c) system to induce satiety. Lorcaserin IR has been shown to be effective in reducing weight in overweight (body mass index [BMI] > 27 kg/m2) and obese (BMI > 30 kg/m2) participants in three large Phase III trials. In addition, lorcaserin has been shown to reduce post-cessation weight gain and improved smoking cessation in a randomized placebo-controlled trial. A recent meta-analysis suggested in overweight diabetic patients lorcaserin may be added to first-line oral hypoglycemic medications to enhance reduction in glycated hemoglobin. Lorcaserin is generally well tolerated with the most common side effect being headache, which is typically self-limiting. Lorcaserin XR (once daily) was recently approved and has been shown to be bioequivalent to lorcaserin IR (twice daily) in a pivotal study. Lorcaserin XRs, main advantage over the IR formulation is the once daily dosing regimen, which likely would lead to improved adherence and thus improved clinical effectiveness. The present review will evaluate the lorcaserin clinical studies (obesity, diabetes, and addiction), XR bioequivalence studies, pharmacogenomics of the serotonin (5HT2c) system, and adherence data in once daily versus twice daily medications.
Structural brain changes in perinatally HIV-infected young adolescents in South Africa

Objective: To describe the structural brain changes, neurocognitive and mental health associations in adolescents perinatally infected with HIV-1 infection. Design: Cross-sectional. Methods: Two hundred and four adolescents with perinatally acquired HIV and 44 uninfected frequency-matched controls aged 9–11 years were enrolled within the Cape Town Adolescent Antiretroviral Cohort. Diffusion tensor imaging and structural brain MRI was done to determine fractional anisotropy, mean diffusivity, grey and white matter volumes, cortical thickness and cortical surfractional anisotropy area. Correlation coefficients were calculated between total grey and white matter volume, cortical surface area, cortical thickness, whole brain fractional anisotropy and whole brain mean diffusivity and clinical and laboratory parameters including general intellectual functioning, Becks Youth Inventory, Child Motivation Scale and Child Behaviour Checklist. Results: HIV-infected adolescents performed worse than controls on the Wechsler Abbreviated Scale of Intelligence (WASI; P < 0.01). HIV-infected adolescents had significant fractional anisotropy decreases, mean diffusivity increases and decreases in cerebral grey matter volumes, cortical surface area and decreased gyrification. Whole-brain mean fractional anisotropy was significantly reduced in the HIV-infected group (P = 0.031). There were significant correlation coefficients between greater total grey (P = 0.008) and white matter volume (P = 0.004) with the WASI and the Becks self-concept subscale (P = 0.038). Lower whole brain fractional anisotropy was associated with higher scores on the Becks anger (P = 0.018) and disruptive behaviour subscales (P = 0.031). Higher whole brain mean diffusivity was associated with apathy (P = 0.046). Conclusion: The pattern of increased risk of white matter microstructure alterations, smaller grey matter volumes, reduced cortical surface area and decreased gyrification, suggests abnormal neurodevelopment in perinatally infected younger adolescents.
Characterizing User Behaviors in Mobile Personal Livecast

Mobile personal livecast (MPL) services are emerging and have received great attention recently. In MPL, numerous and geo-distributed ordinary people broadcast their video contents to worldwide viewers. Different from conventional social networking services like Twitter and Facebook, which have a tolerance for interaction delay, the interactions (e.g., chat messages) in a personal livecast must be in real-time with low feedback latency. These unique characteristics inspire us to: (1) investigate how the relationships (e.g., social links and geo-locations) between viewers and broadcasters influence the user behaviors, which has yet to be explored in depth; and (2) explore insights to benefit the improvement of system performance. In this article, we carry out extensive measurements of a representative MPL system, with a large-scale dataset containing 11M users. In the current costly and limited cloud-based MPL system, which is faced with scalability problem, we find: (1) the long content uploading distances between broadcasters and cloud ingesting servers result in an impaired system QoS, including a high broadcast latency and a frequently buffering events; and (2) most of the broadcasters in MPL are geographically locally popular (the majority of the views come from the same region of the broadcaster), which consume vast computation and bandwidth resources of the clouds and Content Delivery Networks. Fortunately, the emergence of edge computing, which provides cloud-computing capabilities at the edge of the mobile network, naturally sheds new light on the MPL system; i.e., localized ingesting, transcoding, and delivering locally popular live content is possible. Based on these critical observations, we propose an edge-assisted MPL system that collaboratively utilizes the core-cloud and abundant edge computing resources to improve the system efficiency and scalability. In our framework, we consider a dynamic broadcaster assignment to minimize the broadcast latency while keeping the resource lease cost low. We formulate the broadcaster scheduling as a stable matching with migration problem to solve it effectively. Compared with the current pure cloud-based system, our edge-assisted delivery approach reduces the broadcast latency by about 35%.
Downregulated caveolin-1 expression serves a potential role in coronary artery spasm by inducing nitric oxide production in vitro

The present study aimed to investigate the effects of downregulated caveolin-1 (Cav-1) expression on nitric oxide (NO) production in lipopolysaccharide (LPS)-damaged primary human umbilical vein endothelial cells (HUVECs) in a model of coronary artery spasm (CAS) microenvironment induced by acetylcholine (ACh) treatment. Small interfering RNA (siRNA)-mediated Cav-1 downregulation in HUVECs was confirmed by western blotting. The cell viability and superoxide dismutase (SOD) inhibition in HUVECs incubated with LPS (0, 10, 25, 50, 75 and 100 µg/ml) were measured by cell counting kit-8 assay and a SOD kit, respectively. Intracellular Ca2+ [(Ca2+)i] in Fluo4-acetoxymethyl ester-loaded cells was detected by fluorescence microscopy. NO levels in the cell culture supernatants were measured by the nitrate reductase method. The results indicated that transfection with Cav-1 siRNA, in particular siCav-1 (2), downregulated the Cav-1 protein expression. LPS at a dose of 75 µg/ml induced a significant decrease in HUVECs/si-NC and HUVECs/siCav-1 viability compared with the other concentrations of LPS. Compared with the effects of untreated cells, SOD inhibition in HUVECs/si-NC and HUVECs/siCav-1 was significantly decreased by LPS (75 µg/ml). In addition, ACh stimulation caused a greater increase in [Ca2+]i in HUVECs/si-NC as compared with LPS-treated HUVECs/si-NC. ACh stimulation also induced significantly higher NO levels in LPS-treated HUVECs/siCav-1 compared with LPS-treated HUVECs/si-NC cells (P<0.05). In conclusion, the downregulated Cav-1 expression served a key role in NO production in the in vitro model of CAS induced by ACh stimulation of LPS-damaged HUVECs.
Bioactive Compounds from Marine Organisms: Potential for Bone Growth and Healing

Marine organisms represent a highly diverse reserve of bioactives which could aid in the treatment of a wide range of diseases, including various musculoskeletal conditions. Osteoporosis in particular would benefit from a novel and effective marine-based treatment, due to its large disease burden and the inefficiencies of current treatment options. Osteogenic bioactives have been isolated from many marine organisms, including nacre powder derived from molluscan shells and fucoidan—the sulphated polysaccharide commonly sourced from brown macroalgae. Such extracts and compounds are known to have a range of osteogenic effects, including stimulation of osteoblast activity and mineralisation, as well as suppression of osteoclast resorption. This review describes currently known soluble osteogenic extracts and compounds from marine invertebrates and algae, and assesses their preclinical potential.
Low nitric oxide level is implicated in sickle cell disease and its complications in Ghana

Background Nitric oxide (NO) plays a fundamental role in maintaining normal vasomotor tone. Recent clinical and experimental data suggest that NO may play a role in the pathogenesis and therapy of sickle cell disease (SCD). The aim of this study was to determine NO metabolites (NOx) in SCD patients at steady state and in vaso-occlusive crisis (VOC), as well as those with hemolytic clinical sub-phenotype that includes leg ulcers and priapism. Methodology This was a case–control cross-sectional study conducted on a total of 694 subjects including 148 comparison group HbAA, 208 HbSS SCD patients in steady state, 82 HbSC SCD patients in steady state, 156 HbSS SCD patients in VOC, 34 HbSC SCD patients in VOC, 34 HbSS SCD patients in post VOC, 21 HbSS SCD patients with leg ulcer and 11 HbSS SCD patients with priapism, with age ranging from 15 to 65 years. Laboratory diagnosis of SCD was done at the Sickle Cell Clinic of the Korle-Bu Teaching Hospital. Plasma nitric oxide metabolites were measured using Griess reagent system by ELISA method. Results Mean NOx of 59.66±0.75 µMol/L in the comparison group was significantly different from those in steady state (P=0.02). During VOC, there was a significant reduction in mean NOx levels to 6.08±0.81 µMol/L (P<0.001). Mean NOx levels were however, significantly higher (50.97±1.68 µMol/L) (P<0.001) in the immediate postcrisis period. The mean NOx levels in the leg ulcer (21.70±1.18 µMol/L) (P<0.001) and priapism (28.97±1.27 µMol/L) (P<0.001) patients were significantly low as compared to the SCD patients in the steady state and comparison group. Conclusion This study presents the first report on plasma NOx levels in SCD complication in Ghanaian SCD patients and confirms reduced plasma NOx levels in SCD patients in general.
Salat Activity Recognition using Smartphone Triaxial Accelerometer

Activity recognition using modern smartphones, equipped with sensing capabilities, has got a tremendous attention of research communities in recent years. This paper presents an automated mechanism to recognise Muslims’ prayer (Salat) using the tri-axial accelerometer available in current smartphones. Different activities in the prayers are performed in pre-defined pattern, and all the participants move from one state to another at the same time in a congregation prayer. The accelerometer is first used to collect time series data as input, which is then processed to remove redundancy. This clean processed data is then analysed to recognise not only the individual prayer pattern but also the common pattern in group prayer using dynamic time warping. Promising results are demonstrated through experiments where the prayer activity is correctly recognized while other activities such as walking are classified as non-prayer patterns.
Efficacy and safety of co-administration of resveratrol with meloxicam in patients with knee osteoarthritis: a pilot interventional study

Background and aim Resveratrol shows remarkable anti-inflammatory activities in experimental models. This study aims to evaluate the effect of resveratrol, as an adjuvant with meloxicam (Mlx), on the pain and functional activity during a 90-day period and monitor the adverse effects on kidney and liver functions, lipid profile, and hematological markers. Patients and methods This study was a double-blind, placebo-controlled, randomized multi-center study that involved 110 patients with knee osteoarthritis (OA) and was performed at Sulaimani City, Iraq, from December 2016 to September 2017. To assess the effects of Mlx with or without resveratrol, pain severity and functional disability were evaluated at baseline and after 90 days using the Western Ontario and McMaster Universities Osteoarthritis Index. Fasting blood was collected to evaluate the lipid profile markers, hematological picture, and liver and kidney functions, in addition to vitamin D level. Results Resveratrol significantly improves pain, functions, and associated symptoms compared with placebo. The clinical and biochemical markers indicated that 500 mg/day of resveratrol, as an adjuvant with Mlx, is safe and well tolerated by the knee OA patients. Conclusion Resveratrol, as an “add-on” medication with Mlx, was superior in terms of safety and efficacy to Mlx alone for the treatment of pain and improvement of physical function in patients with knee OA.
A Brief Review of Personality in Marathon Runners: The Role of Sex, Age and Performance Level

The participation of recreational runners in sport events ranging from 5 km to ultra-endurance races have increased dramatically during the last decades and this phenomenon has attracted scientific interest. Most research has focused on the physiological characteristics of these runners and less in their psychological characteristics. Therefore, the aim of the present study was to review the existing knowledge with regards to the personality of recreational endurance runners and the role of sex, age and performance. It was concluded that limited information was available with regards to the personality of recreational marathon runners. So far, our knowledge on the personality of marathon runners relied on studies conducted a few decades ago, mostly on competitive marathon runners, highlighting the need for original research on recreational runners.
High CCR4 expression in the tumor microenvironment is a poor prognostic indicator in lung adenocarcinoma.

Background Clinical trials of anti-CCR4 antibody for solid cancers with or without other immune-modulating agents including immune checkpoint blockade therapy are currently underway. However, little is known about the roles of CCR4+ lymphocytes and their prognostic impact in lung cancer. We hypothesized that high CCR4 expression in the tumor microenvironment would be associated with a poor prognosis and would act as a biomarker in lung adenocarcinoma. Methods First, the prognostic impact of CCR4 gene expression was explored using pooled data from public transcriptomic databases with online survival analysis software. Second, tissue microarrays (TMAs) were constructed from resected lung adenocarcinoma specimens from tumors up to 3 cm in size. The density of CCR4+ lymphocytes infiltrating the tumor was then assessed by immunohistochemistry and related to survival. Confounding factors were controlled for by multivariate analysis using the Cox proportional hazards model. Results Higher than median expression of the CCR4 gene was identified as an independent poor prognostic factor for overall survival (OS) by multivariate analysis of 720 lung adenocarcinoma patients in the public databases [HR =1.55 (95% CI: 1.03-2.35), P=0.037]. Consistent with this, high CCR4+ tumor-infiltrating lymphocyte (TIL) density was found to be an independent poor prognostic factor for both OS [HR =2.24 (1.01-5.34), P=0.049] and recurrence-free survival (RFS) [HR =2.20 (1.16-4.39), P=0.017] in the patients from whom TMA were obtained (n=180). Age, male gender, predominantly non-lepidic histological subtype, nodal involvement, and low CD8+ TIL density were also independent poor prognostic factors. However, FOXP3 gene expression and Foxp3+ lymphocyte infiltration did not possess any prognostic value in either study. Conclusions High CCR4 expression in the tumor microenvironment may be a poor prognostic factor in lung adenocarcinoma. Patients with high CCR4+ lymphocyte infiltration may have a poor prognosis and thus be suitable candidates for clinical trials of anti-CCR4 antibody treatment.
Electrical Power Generation in Aircraft: Review, Challenges, and Opportunities

The constant growth of air traffic, the demand for performance optimization, and the need for decreasing both operating and maintenance costs have encouraged the aircraft industry to move toward more electric solutions. As a result of this trend, electric power required on-board of aircraft has significantly increased through the years, causing major changes in electric power system architectures. Considering this scenario, this paper gives a review about the evolution of electric power generation systems in aircraft. The major achievements are highlighted and the rationale behind some significant developments discussed. After a brief historical overview of the early dc generators (both wind- and engine-driven), the reasons which brought the definitive passage to the ac generation, for larger aircraft, are presented and explained. Several ac generation systems are investigated with particular attention being focused on the voltage levels and the generator technology. Furthermore, examples of commercial aircraft implementing ac generation systems are provided. Finally, the trends toward modern generation systems are also considered giving prominence to their challenges and feasibility.