Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhanced Intra-Liposomal Metallic Nanoparticle Payload Capacity Using Microfluidics Assisted Self-Assembly.

Hybrids composed of liposomes (L) and metallic nanoparticles (NP) hold great potential for imaging and drug delivery purposes. However, the efficient incorporation of metallic nanoparticles into liposomes using conventional methodologies has so far proved to be challenging. In this study, we report the fabrication of hybrids of liposomes and hydrophobic gold nanoparticles of size 2-4 nm (Au) using a microfluidic assisted self-assembly process. The incorporation of increasing amounts of Au nanoparticles into liposomes was examined using microfluidics and compared to L-AuNP hybrids prepared by the reverse-phase evaporation method. Our microfluidics strategy produced L-AuNP hybrids with a homogeneous size distribution, smaller polydispersity index, and a 3-fold increase in loading efficiency when compared to those hybrids prepared using the reverse-phase method of production. Quantification of the loading efficiency was determined by ultraviolet spectroscopy, inductively coupled plasma mass spectroscopy and centrifugal field flow fractionation and confirmed qualitatively by transmission electron microscopy. The higher loading of gold nanoparticles into the liposomes achieved using microfluidics produced a slightly thicker and more rigid bilayer as determined with small angle neutron scattering. These observations were confirmed using fluorescent anisotropy and atomic force microscopy, respectively. Structural characterization of the liposomal-nanoparticle hybrids with cryo-electron microscopy revealed the co-existence of membrane-embedded and interdigitated nanoparticle-rich domains suggesting AuNP incorporation through hydrophobic interactions. The microfluidic technique that we describe in this study allows for the automated production of monodisperse liposomal-nanoparticle hybrids with high loading capacity highlighting the utility of microfluidics to improve the payload of metallic nanoparticles within liposomes, thereby enhancing their application for imaging and drug delivery.
The Power of Iodane-Guided C-H Coupling: A Group Transfer Strategy in Which a Halogen Works for Its Money.

Hypervalent organoiodane reagents are ubiquitous in organic synthesis, both as oxidants and as electrophilic group transfer agents. In addition to these hallmark applications, a complementary strategy is gaining momentum that exploits the ability of λ 3 -iodanes to undergo iodine-to-arene group transfer, e.g. via iodonio-Claisen-type rearrangement processes. This Minireview discusses recent advances in the use of this method to access a variety of the C-H functionalized iodoarenes. While Section 2 is focused on the ortho C-H propargylation, allylation and the more unusual para C-H benzylation, Section 3 is devoted to the C-arylation of enol and phenol substrates. The accompanying discussion includes the mechanistic considerations, and goes into the synthetic applications of the final iodoarene cores. The Minireview concludes with further conceptual extensions of the method, including the use of non-conventional coupling partners (e.g. cyanoalkylation), improved access to λ 3 -iodane building blocks or the development of iterative approach to access polysubstituted iodoarenes.
Further Study on Observer Design for Continuous-Time Takagi–Sugeno Fuzzy Model With Unknown Premise Variables via Average Dwell Time

This article further studies the problem of observer design for the continuous-time Takagi–Sugeno (T–S) fuzzy system with unmeasurable premise variables. A membership function-dependent Lyapunov function is designed to obtain the observer-based controller. Different from the existing results, a switching method is proposed to deal with the time derivative of membership functions. Several problems such as, too many parameters, and the small local stabilization region in the existing papers are solved by applying the switching method. In addition, two algorithms are designed to obtain the controller gains and observer gains. In the end, two examples are provided to demonstrate the effectiveness of the proposed approach.
Imaging of translocator protein upregulation is selective for pro‐inflammatory polarized astrocytes and microglia

Translocator protein (TSPO) expression is increased in activated glia, and has been used as a marker of neuroinflammation in PET imaging. However, the extent to which TSPO upregulation reflects a pro‐ or anti‐inflammatory phenotype remains unclear. Our aim was to determine whether TSPO upregulation in astrocytes and microglia/macrophages is limited to a specific inflammatory phenotype. TSPO upregulation was assessed by flow cytometry in cultured astrocytes, microglia, and macrophages stimulated with lipopolysaccharide (LPS), tumor necrosis factor (TNF), or interleukin‐4 (Il‐4). Subsequently, mice were injected intracerebrally with either a TNF‐inducing adenovirus (AdTNF) or IL‐4. Glial expression of TSPO and pro‐/anti‐inflammatory markers was assessed by immunohistochemistry/fluorescence and flow cytometry. Finally, AdTNF or IL‐4 injected mice underwent PET imaging with injection of the TSPO radioligand 18F‐DPA‐713, followed by ex vivo autoradiography. TSPO expression was significantly increased in pro‐inflammatory microglia/macrophages and astrocytes both in vitro, and in vivo after AdTNF injection (p < .001 vs. control hemisphere), determined both histologically and by FACS. Both PET imaging and autoradiography revealed a significant (p < .001) increase in 18F‐DPA‐713 binding in the ipsilateral hemisphere of AdTNF‐injected mice. In contrast, no increase in either TSPO expression assessed histologically and by FACS, or ligand binding by PET/autoradiography was observed after IL‐4 injection. Taken together, these results suggest that TSPO imaging specifically reveals the pro‐inflammatory population of activated glial cells in the brain in response to inflammatory stimuli. Since the inflammatory phenotype of glial cells is critical to their role in neurological disease, these findings may enhance the utility and application of TSPO imaging.
Health Care Utilization and Payer Cost Analysis of Robotic Arm Assisted Total Knee Arthroplasty at 30, 60, and 90 Days

Abstract This study performed a health care utilization analysis between robotic arm assisted total knee arthroplasty (rTKA) and manual total knee arthroplasty (mTKA) techniques. Specifically, we compared (1) index costs and (2) discharge dispositions, as well as (3) 30-day (4) 60-day, and (5) 90-day (a) episode-of-care costs, (b) postoperative health care utilization, and (c) readmissions. The 100% Medicare Standard Analytical Files were used for rTKAs and mTKAs performed between January 1, 2016, and March 31, 2017. Based on strict inclusion–exclusion criteria and 1:5 propensity score matching, 519 rTKA and 2,595 mTKA patients were analyzed. Total episode payments, health care utilization, and readmissions, at 30-, 60-, and 90-day time points were compared using generalized linear model, binomial regression, log link, Mann–Whitney, and Pearson's chi-square tests. The rTKA versus mTKA cohort average total episode payment was US$17,768 versus US$19,899 (p < 0.0001) at 30 days, US$18,174 versus US$20,492 (p < 0.0001) at 60 days, and US$18,568 versus US$20,960 (p < 0.0001) at 90 days. At 30 days, 47% fewer rTKA patients utilized skilled nursing facility (SNF) services (13.5 vs. 25.4%; p < 0.0001) and had lower SNF costs at 30 days (US$6,416 vs. US$7,732; p = 0.0040), 60 days (US$6,678 vs. US$7,901, p = 0.0072), and 90 days (US$7,201 vs. US$7,947, p = 0.0230). rTKA patients also utilized fewer home health visits and costs at each time point (p < 0.05). Additionally, 31.3% fewer rTKA patients utilized emergency room services at 30 days postoperatively and had 90-day readmissions (5.20 vs. 7.75%; p = 0.0423). rTKA is associated with lower 30-, 60-, and 90-day postoperative costs and health care utilization. These results are of marked importance given the emphasis to contain and reduce health care costs and provide initial economic insights into rTKA with promising results.
Sulpiride gastro-retentive floating microsponges; analytical study, in vitro optimization and in vivo characterization

Abstract Sulpiride (SUL), anti-dopaminergic drug, has a specific site for absorption located in the upper portion of the gastrointestinal tract hence, its oral delivery represents a challenge regarding SUL absorption and bioavailability. So, a gastro-retentive oral platform of SUL was developed to increase its gastric residence time, release SUL at a controlled rate in the stomach and consequently, enable it to reach its specific absorption site. Floating microsponges were prepared via quasi-emulsion solvent diffusion method and characterised for their physico-chemical properties. In addition, Taguchi design of experiment was utilised to optimise some independent variables affecting microsponges performance. The optimised SUL microsponges showed a yield of 79.82 ± 2.37%, an encapsulation efficiency of 89.11 ± 2.28% and in vitro time for floatation of 8.0 h. Additionally, pharmacokinetics were investigated in rabbits and compared with the commercial SUL formulation, Dogmatil® capsules. Optimised SUL microsponges showed a significantly (p < .05) higher Cmax, AUC and 2-fold increase in oral bioavailability compared with the commercial product. Moreover, the optimised SUL microsponges remained present in the stomach up to 8.0 h post administration when viewed via X-ray radiographs in rabbits. It could be concluded that the floating microsponges could be useful as an oral platform to enhance the sulpiride absorption and bioavailability.
Physical activity and mental health in India: A narrative review

Background: Apart from its evident impact on physical health, physical activity also has a role to play in mental health. Individuals engaged in physical inactivity have been found to have higher morbidity and health care expenditure. In order to combat these issues and preserve mental health, interventions of exercise are typically advocated. This review aimed to assess the benefits of physical activity on common and severe mental disorders in the Indian context. Materials and methods: A Boolean search was carried out using both relevant keywords and MeSH terms. Articles were sourced from online databases including PubMed, ScienceDirect, Cochrane Database, PsycINFO and Google Scholar. All studies included in the review were peer-reviewed articles exclusively from India with Indian subjects reporting the relationship between physical activity and at least one mental health outcome including depression, anxiety, psychosis, stress, self-esteem and cognitive functioning. Results: Nineteen articles were found eligible for the narrative review. Out of these, 7 were cross-sectional studies and 12 were intervention studies. Conclusion: Existing literature from India has shown promising results towards the impact of physical activity in mental health disorders. However, more research is needed in the assessment of physical activity and physical activity interventions suitable to the Indian context. This review found that exercise and yoga are effective in reducing mean scores for both severe and common mental disorders. Yoga had a more significant impact on patients with schizophrenia than exercise or no intervention. To confirm that exercise is an effective add-on treatment, further research is required.
Is bony attachment necessary for dynamic reference frame in navigation-assisted minimally invasive lumbar spine fusion surgery?

Abstract This study aimed to compare the accuracy of navigation-assisted percutaneous pedicle screw insertions between traditional posterior superior iliac spine (PSIS) fixed and cutaneously fixed dynamic reference frame (DRF) in minimally invasive surgery of transforaminal lumbar interbody fusion (MIS TLIF). This is a prospective randomized clinical study. Between May 2016 and Nov 2017, 100 patients who underwent MIS TLIF were randomly divided into bone fixed group (with PSIS fixed DRF) and skin fixed group (with cutaneously fixed DRF). The pedicel screws were inserted under navigational guidance using computed tomography (CT) data acquired intraoperatively with a Ziehm 3-dimensional fluoroscopy-based navigation system. Screw positions were immediately checked by a final intraoperative scan. The accuracy of screw placement was evaluated by a sophisticated computed tomography protocol. Both groups had similar patient demographics. Totally Five-hundred Twelve pedicle screws were placed in the lumbar spine. There were 2 moderate (2–4 mm) pedicle perforations in each group. The accuracy showed no significant difference between bone fixed and skin fixed DRF. There were no significant procedure-related complications. The skin fixed DRF provides similar accuracy in pedicle screw insertions with bone fixed DRF using intraoperative 3D image guided navigation in MIS TLIF. Skin fixed DRF not only serves as an alternative method but also saves a separate incision wound for bony attachment.
Recovery Following Sport-Related Concussion: Integrating Pre- and Postinjury Factors Into Multidisciplinary Care

Objective: Update concussion recovery curves by considering pre- and postinjury modifying factors. Determine whether there is a dose-response for modifying factors on recovery. Setting: Sports medicine concussion clinic. Participants: A total of 314 athletes aged 12-23 years within 7 days of a concussion enrolled between 2015 and 2018. Design: Prospective cohort study. Main Measures: Categorical recovery time defined as days from injury to full medical clearance for return to play per established criteria. Preinjury factors included age, gender, concussion history, and migraine history. Postinjury factors included loss of consciousness, posttraumatic amnesia, posttraumatic migraine symptoms, and high symptom burden. Results: Average recovery was 27.5 ± 25 days. Five factors were prognostic of recovery: (1) younger than 18 years, (2) female, (3) history of migraine, (4) posttraumatic migraine symptoms, and (5) high symptom burden (P < .05). Recovery percentage at 21 days after injury was 96.7% for participants with 0 factor, 65.3% for those with 1 to 2, and 31.8% for those with 3 to 5—with prognostic separation in low- to high-risk groups of 62%. Conclusions: Findings support a dose-response for combined pre- and postinjury factors on recovery. Both the type and quantity of modifying factors influence recovery and should be considered in prognosis and approaches to multidisciplinary care.
AT1AA (Angiotensin II Type-1 Receptor Autoantibodies).

AT1AA (Angiotensin II type-1 receptor autoantibodies) were first detected in patients with primary aldosteronism (PA) because of aldosterone-producing adenoma (APA) with an in-house developed assay, but it remained unclear if they can be ascertained also with commercially available assays and if they have a functional role. Aims of our study were to investigate if (1) commercially available kits allow detection of raised AT1AA titer in APA; (2) this titer is normalized by adrenalectomy; and (3) AT1AA display any biological roles in vitro. We measured with 2 ELISA kits the AT1AA titer in serum of APA patients and its changes after adrenalectomy. We also investigated AT1AA bioactivity by using AT1-R (angiotensin type-1 receptor)-transfected Chinese hamster ovary and human adrenocortical carcinoma cells, and by measuring aldosterone synthase (CYP11B2) expression in human adrenocortical carcinoma cells after incubation with IgG. Both kits allowed detection of higher AT1AA levels in APA patients than in healthy subjects; surgical cure of PA did not decrease this titer at 1-month follow-up. Human adrenocortical carcinoma cells stimulation with IgG purified from sera of APA patients increased both CYP11B2 expression and aldosterone release (+40% and +76%, respectively, versus healthy subjects). However, no detectable effect of IgG was seen in Chinese hamster ovary cells expressing AT1-R. These findings support the contentions that (1) the raised AT1AA titer does not seem to be a consequence of hyperaldosteronism as it did not normalize after its cure; (2) AT1AA act as weak stimulators of aldosterone biosynthesis, but this effect can be identified only by using a sensitive in vitro technique.
Factors influencing high absenteeism rate of student nurses in clinical areas at a nursing college in the Lejweleputswa District

Background Student nurse attendance during training is mandatory, and the South African Nursing Council (SANC) stipulates that students must attend 80% of hours for both theory and practice during their training. Unauthorised student nurse absenteeism, especially in the clinical areas, has become an increasing problem in nursing education institutions and in the universities. This study explored student absenteeism with the aim of generating solutions that are specifically relevant to the context of the Free State College of Nursing. Objectives The objectives of the study were to describe perceived personal reasons and reasons related to clinical areas that contribute to student nurses’ absenteeism from the clinical areas and to explore the relationship between demographic data and reasons for absenteeism. Method A quantitative research design with descriptive and exploratory strategies was used. Data were collected by means of a self-administered questionnaire. Data analysis was performed using SPSS version 23.0. One hundred and fifty-two student nurses were sampled after permission to conduct the study was requested and obtained. Results The results showed that 72.4% of respondents agreed that students are absent because of physical illness. The majority of students (97.3%) at the selected campus are absent from clinical areas because they are covering staff shortages. The findings showed no particular relationship between gender and absenteeism as absenteeism was present throughout. Conclusion Student nurses at a selected campus are generally absent at the clinical areas because they are physically ill and are funded for studying but not paid for working. It was recommended that accurate records of attendance should be kept and absenteeism rates be calculated at frequent intervals.
Microglia and the aging brain: are senescent microglia the key to neurodegeneration?

The single largest risk factor for etiology of neurodegenerative diseases like Alzheimer’s disease is increased age. Therefore, understanding the changes that occur as a result of aging is central to any possible prevention or cure for such conditions. Microglia, the resident brain glial population most associated with both protection of neurons in health and their destruction is disease, could be a significant player in age related changes. Microglia can adopt an aberrant phenotype sometimes referred to either as dystrophic or senescent. While aged microglia have been frequently identified in neurodegenerative diseases such as Alzheimer’s disease, there is no conclusive evidence that proves a causal role. This has been hampered by a lack of models of aged microglia. We have recently generated a model of senescent microglia based on the observation that all dystrophic microglia show iron overload. Iron‐overloading cultured microglia causes them to take on a senescent phenotype and can cause changes in models of neurodegeneration similar to those observed in patients. This review considers how this model could be used to determine the role of senescent microglia in neurodegenerative diseases.
Overweight and Obese Patients Require Total Hip and Total Knee Arthroplasty at a Younger Age

Osteoarthritis (OA) of the hip and knee is associated with obesity but the exact effect remains unknown. The aim of this study was to investigate the independent association between the age at which total hip (THA) and knee arthroplasty (TKA) are required for end‐stage severe OA according to body mass index (BMI) category. A retrospective study of 3,699 patients undergoing primary THR and 4,740 patients undergoing a primary TKA for the treatment of end‐stage OA. Patient demographics, BMI, comorbidity, social deprivation, Short form 12 and Western Ontario and McMaster Universities OA Index score pre‐operatively were collected. Linear regression analysis identified that there was an earlier age at which THA and TKA were performed with increasing obesity BMI category compared with normal‐weight patients when adjusting for confounding variables. Using the normal weight category as the reference group overweight (0.9 years [95% confidence interval, CI] 0.0–1.8) and obese patients in class 1 (3.1 years, 95% CI 2.1–4.2), 2 (5.2 years, 95% CI 3.7–6.7), and 3 (7.4 years, 95% CI 5.0–9.8) required their THA at a significantly (p ≤ 0.04) earlier age. Again, using normal weight category as the reference group overweight (2.1 years, 95% CI 1.3–2.9) and obese patients in class 1 (4.7 years, 95% CI 3.8–5.6), 2 (6.7 years, 95% CI 5.6– 7.7) and 3 (10.5 years, 95% CI 8.9–12.1) required their TKA at a significantly (p < 0.001) earlier age. Overweight and obese patients required their THA and TKA at a significantly younger age. © 2019 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 38:348‐355, 2020
Periodic-type auto-regressive moving average modeling with covariates for time-series incidence data via changepoint detection

When it comes to incidence data, most of the work on this field focuses on the modeling of nonextreme periods. Several attempts have been made and a variety of techniques are available to achieve so. In this work, in order to model not only the nonextreme periods but also capture the behavior of the whole time-series, we make use of a dataset on influenza-like illness rate for Greece, for the period 2014–2016. The identification of extreme periods is made possible via changepoint detection analysis and model selection techniques are developed in order to identify the optimal periodic-type auto-regressive moving average model with covariates that best describes the pattern of the time-series. In addition, in the context of incidence data modeling, an advanced algorithm was developed in order to improve the accuracy of the selected model. The derived results are satisfactory since the changepoint method seems to identify correctly the extreme periods, and the selected model: (1) estimates accurately the influenza-like illness syndrome morbidity burden in the case of Greece, and (2) captures satisfactorily enough the behavior of the whole time-series.