Iron-Doped Sodium Vanadium Oxyflurophosphate Cathodes for Sodium-Ion Batteries-Electrochemical Characterization and In Situ Measurements of Heat Generation

Sodium-ion batteries (NaIBs) are increasingly being envisioned for grid-scale energy-storage systems because of cost advantages. However, implementation of this vision has been challenged by the low-energy densities delivered by most NaIB cathodes. Toward addressing this challenge, the authors report the synthesis and characterization of a new iron-doped Na₃Fe_0.3V_1.7O(PO₄)₂F₂ cathode using a novel facile hydrothermal route. The synthesized material was characterized using scanning electron microscopy, X-ray diffraction, and Mössbauer spectroscopy techniques. The obtained discharge capacity in the half-cell configuration lies from 119 to 125 to 130 mA h/g at C/10 while tested using three different electrolyte formulations, dimethyl carbonate-ethylene carbonate (EC)-propylene carbonate (PC), diethyl carbonate-EC, and EC-PC, respectively. The synthesized cathodes were also evaluated in full-cell configurations, which delivered an initial discharge capacity of 80 mA h/g with NaTi₂(PO₄)₃MWCNT as the anode. Ionic diffusivity and interfacial charge transfer kinetics were also evaluated as a function of temperature and sodium concentration, which revealed that electrochemical rate performances in this material were limited by charge-transfer kinetics. To understand the heat generation mechanism of the Na/Na₃Fe_0.3V_1.7O(PO₄)₂F₂ half-cell during charge and discharge processes, an electrochemical isothermal calorimetry measurement was carried out at different current rates for two different temperatures (25 and 45 °C). The results showed that the amount of heat generated was strongly affected by the operating charge/discharge state, C-rate, and temperature. Overall, this work provides a new synthesis route for the development of iron-doped Na₃Fe_0.3V_1.7O(PO₄)₂F₂-based high-performance sodium cathode materials aimed at providing a viable pathway for the development and deployment of large-scale energy-storage based on sodium battery systems.

Quality enhancement of frozen Nile tilapia fillets using rosemary and thyme oil

ABSTRACT The food industry and the frozen fish sector in particular have benefitted greatly from advancements in food processing technologies. This study investigated the effect of adding natural antioxidants such as rosemary and thyme oil to frozen fillets of Nile tilapia (Oreochromis niloticus) in order to preserve their quality for consumers. Fillets were treated with rosemary and thyme at two concentrations (1% and 1.5%) and then were stored at 4°C. Samples were analyzed over 4 days for bacteriological (aerobic plate count, psychotropic count, and coliform count), chemical (determination of pH, thiobarbituric acid reactive substances-TBARS, and total volatile base nitrogen-TVB-N), and sensory quality examination (color, texture, and odor). Significant differences (P<0.05) were observed among different groups in terms of aerobic plate count, psychotropic count, and coliform count during the storage. Moreover, pH, TVB-N, and TBARS mean values in the treated groups were lower than those in the untreated group. The best sensory quality was obtained at the highest concentrations (1.5%) of thyme and rosemary oil.

Correlation of Mean Platelet Volume with ST Segment Resolution after Thrombolytic Therapy in Patients with ST Elevation Myocardial Infarction

Acute occlusive thrombosis of the coronary artery is the principal cause of myocardial infarction where platelets play an important role. Large size platelets, easily measured by mean platelets volume (MPV) are thrombogenic and commonly seen after ST-segment elevation myocardial infarction (STEMI). ST segment resolution has been shown as a simple non-invasive marker that reflects both epicardial and myocardial reperfusion following thrombolysis. The present study intended to investigate whether MPV on admission correlated with ST segment resolution following thrombolysis in STEMI patient. This cross-sectional analytical study was conducted in the department of cardiology, Mymensingh Medical College and Hospital (MMCH), Mymensingh, Bangladesh from December, 2016 to June, 2018. Total 284 patients with first attack of STEMI were included after considering inclusion and exclusion criteria. Sample population was divided into two groups, Group I - Patients with successful ST segment resolution (≥50%). Group II - Patients with impaired ST segment resolution (<50%). MPV on admission was estimated during estimation of Complete Blood Count (CBC) by Automated Haematology Analyzer & compared between two groups. Successful ST segment resolution (≥50%) was seen in 67% of patients after thrombolysis. Admission MPV was higher in patients with impaired ST segment resolution (<50%) group than patients with ≥50% ST-segment resolution group (12.42±0.89fl vs.10.35±0.77fl respectively, p=0.001). Statistically significant strong negative correlation between MPV and ST segment resolution percentage (r = -0.742, p=0.001) suggesting that the higher the level of MPV, the lower the ST segment resolution percentage in first attack of STEMI patients. Multivariate regression analysis found MPV level on admission as an independent predictor of ST segment resolution. The study concluded that high MPV on admission correlate with impaired ST segment resolution following thrombolysis in STEMI patients.

Electrochemical studies of a high voltage Na4Co3(PO4)2P2O7–MWCNT composite through a selected stable electrolyte

Na₄Co₃(PO₄)₂P₂O₇–MWCNT composites in 1 M NaPF₆ in EC:DMC electrolytes deliver stable discharge capacities of 80 mA h g⁻¹ and 78 mA h g⁻¹ at normal and elevated temperatures, respectively. In a full cell configuration vs. NaTi₂(PO₄)₃–MWCNT, they deliver an initial discharge capacity of 78 mA h g⁻¹ at 0.2C rate.

Dynamic discriminant model for predicting respiratory distress at birth based on mass volume ratio in fetuses with congenital lung malformation

OBJECTIVES

The congenital lung malformation volume ratio (CVR) is a prenatal ultrasound measurement that parameterizes congenital lung malformation (CLM) size. The aims of this study were to use serial measurements to create estimated growth curves of fetal CVR for asymptomatic and symptomatic neonates with CLM and to investigate whether a discriminant prognostic model based on these measurements could predict accurately which fetuses with CLM will require invasive respiratory support at delivery and should therefore be delivered at a tertiary-care facility.

METHODS

This was a retrospective study of fetuses diagnosed prenatally with CLM at three tertiary-care children's hospitals between 2009 and 2016. Those with two or more sonographic measurements of CVR were included. Serial fetal CVR measurements were used to create estimated growth curves for neonates with and those without respiratory symptoms at delivery, defined as requiring invasive respiratory support for the first 24 h after delivery. A discriminant model based on serial CVR measurements was used to calculate the dynamic probability of the need for invasive respiratory support. The performance of this model overall and in preterm and term neonates was compared with those using maximum CVR thresholds of 1.0 and 1.6.

RESULTS

Of the 147 neonates meeting the inclusion criteria, 16 (10.9%) required postnatal invasive respiratory support. The estimated CVR growth curve models showed different growth trajectories for asymptomatic and symptomatic neonates, with significantly higher CVR in symptomatic neonates, and values peaking late in the second trimester at around 25 weeks' gestation in asymptomatic neonates. All prognostic methods had high accuracy for the prediction of the need for invasive respiratory support in term neonates, but the discriminant model had the best performance overall (area under the receiver-operating characteristics curve (AUC) = 0.88) and in the preterm population (AUC = 0.85).

CONCLUSIONS

The estimated CVR growth curves showed different growth patterns in asymptomatic and symptomatic neonates with CLM. The dynamic discriminant model performed well overall and particularly in neonates that were carried to term. Development of an externally validated clinical tool based on this analysis could be useful in determining the site of delivery for fetuses with CLM. Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd.

Incidence of central diabetes insipid us among the patients undergoing pituitary tumor surgery 06 through trans-sphenoidal approach

Background: Diabetes insipidus (DI) is a common complication following pituitary surgery. Thiscondition can be transient or permanent and the signs and symptoms of this disorder can bemimicked by the normal postoperative course. Objective: This study was carried out to find out the incidence of central diabetes insipidus (DI)among the patients undergoing pituitary tumor surgery through trans-sphenoidal approach eitherendoscopic or microsurgical for the first time.Study Design: Cross sectional observational study Methods: Patients with central (Neurogenic) diabetes insipidus prior to surgery, co-morbiditieslike diabetes mellitus, kidney diseases, electrolyte imbalance, recurrent cases were excludedfrom this study. Patients were followed up to 7th postoperative day by recording and analyzingfindings of postoperative serum electrolytes, urinary specific gravity, hourly urinary volume forestablishing diabetes insipid us. Results: 76.9% of patients developed diabetes insipidus and 70.0% of patients did not developdiabetes insipid us those who underwent pituitary tumour surgery by trans-sphenoidal endoscopicapproach; 23.1% of patients developed diabetes insipid us and 30.0% of patients did not developdiabetes insipid us those who underwent pituitary tumour surgery by trans-sphenoidal mlcrosurgicalapproach. Conclusion: Prediction of DI help us in pre-operative counseling and post-operative managementof the patients as well as to reduce complications related morbidity after pituitary tumor surgery. Journal of Surgical Sciences (2017) Vol. 21 (1) :6-10

Analysis of DDT Residues in Soil by ELISA: An International Interlaboratory Study

An international interlaboratory study was conducted to determine the performance of a group of laboratories from developing and developed countries. The study used a commercial microwell ELISA on unknown samples spiked with different levels of DDT. The study design was based on Youden pairs and balanced replicates. Two soils, differing in particle size distributions, organic matter content, and cation-exchange capacities and thought to be DDT-free, were spiked at 5 DDT levels between 0.025 and 2 mg/kg. Nineteen laboratories in 17 countries took part in the collaborative trial; of these, the majority were modestly equipped laboratories in developing countries. Samples were analyzed without filtration or cleanup and using standards of pure DDT in methanol. Data were analyzed for repeatability and reproducibility, and average recoveries at the spike levels were calculated. Mean real recoveries for both soils were similar (103% for soil A and 100% for soil B), with values between 0.1 and 2 mg/kg DDT. Precision estimates were best in the linear working range of the assay (0.1–0.5 mg/kg DDT), with reproducibility relative standard deviations (RSDR) typically averaging about 38 and 46% near the upper and lower detection limits, respectively. Corresponding repeatability relative standard deviation (RSDr) values were 20–36% and 36–57%. Thus, even though much of the trial was performed under developing country conditions, performance statistics were similar to other reported results obtained with ELISAs on small molecules of agricultural importance, such as mycotoxins and pesticide and antibiotic residues.

Mental health in childhood and adolescence in association to sickness absence and disability pension

Background

A large amount of studies have previously reported associations between sociodemographic, socioeconomic, health- and work-related factors and future sickness absence (SA) or disability pension (DP). However, the knowledge is still scarce regarding the associations between mental health problems and disorders during childhood and adolescence in association to future work incapacity, and regarding the role of familial influences on the associations.

Methods

The studies were based on 2,690 twins born 1985-1986 in Sweden who participated in the Twin Study of CHild and Adolescent Development (TCHAD). The twins were followed repeatedly at ages of 8-9, 13-14, 16-17, and 19-20 years. The presence of depressive, anxiety, rule-breaking, and social phobia symptoms were assessed through self-reports. SA and DP data were obtained from national registries. Group-based trajectory, logistic regression and Cox proportional regression analyses were applied.

Results

More than half of the twins that were on SA or granted DP had stable moderate levels of the mental health symptoms during adolescence. Cox regression analyses showed that rule-breaking behavior was associated with a higher risk for SA with the highest HR of 1.12 (95% CI 1.05-1.19) at age of 8-9 years. High levels of anxious and depressive symptoms were associated with DP despite age at symptom assessment. The associations attenuated slightly when familial factors were taken into account. The association between social phobia and SA was to some extent explained by sex and parental education except for when social phobia was measured at ages 19-20 years (OR 1.22, 95% CI 1.10-1.34). The results changed slightly when further adjusting for familial factors.

Conclusions

Familial factors had no major importance for the studied associations. Hence, early life public health interventions to improve mental health might reduce the risk of future work incapacity in young adulthood.

Phenotyping and long-term follow up of patients with hyper IgE syndrome

INTRODUCTION AND OBJECTIVES

Long-term follow up of patients with hyper IgE syndrome (HIES), as a primary immunodeficiency disorder, has been poorly investigated. This study describes common clinical and immunological features of patients with HIES in the last 10 years in Shiraz University of Medical Sciences, Shiraz, Iran.

METHODS AND PATIENTS

In this cross-sectional study, the symptoms and medical records of 18 patients, who were diagnosed with HIES, were observed. Genetic and immunologic study was also performed.

RESULTS

Eighteen patients with the mean age of 13 years old were investigated. Ten patients were detected to have mutations in DOCK8 gene and autosomal recessive HIES (AR-HIES); and four patients were found with STAT3 mutation and autosomal dominant HIES (AD-HIES). So, 14 patients with known genetic results were considered for further data analysis. Food allergy, eczema, viral and skin infections were the major complications of AR-HIES patients. The major clinical complications of AD-HIES patients were pneumonia, skin infections and eczema. Food allergy and viral infection were significantly higher in DOCK8 deficient patients. The most common causes of hospitalization in both AR-HIES and AD-HIES patients were pneumonia, skin infections and sepsis. The most common cause of death was found to be sepsis.

CONCLUSIONS

AD-HIES and AR-HIES cannot be differentiated only based on the clinical presentations. Genetic features are also necessary for better diagnosis. This study, summarizing the clinical, immunological and genetic information of the patients with AD-HIES and AR-HIES, may open a way for better diagnosis and management of HIES.

Neuromorphic photonics with electro-absorption modulators

Photonic neural networks benefit from both the high-channel capacity and the wave nature of light acting as an effective weighting mechanism through linear optics. Incorporating a nonlinear activation function by using active integrated photonic components allows neural networks with multiple layers to be built monolithically, eliminating the need for energy and latency costs due to external conversion. Interferometer-based modulators, while popular in communications, have been shown to require more area than absorption-based modulators, resulting in a reduced neural network density. Here, we develop a model for absorption modulators in an electro-optic fully connected neural network, including noise, and compare the network's performance with the activation functions produced intrinsically by five types of absorption modulators. Our results show the quantum well absorption modulator-based electro-optic neuron has the best performance allowing for 96% prediction accuracy with 1.7×10^-12 J/MAC excluding laser power when performing MNIST classification in a 2 hidden layer feed-forward photonic neural network.

Attojoule-efficient graphene optical modulators

Electro-optic modulation is a technology-relevant function for signal keying, beam steering, or neuromorphic computing through providing the nonlinear activation function of a perceptron. With silicon-based modulators being bulky and inefficient, here we discuss graphene-based devices heterogeneously integrated. This study provides a critical and encompassing discussion of the physics and performance of graphene. We provide a holistic analysis of the underlying physics of modulators including graphene's index tunability, the underlying optical mode, and discuss resulting performance vectors for this novel class of hybrid modulators. Our results show that reducing the modal area and reducing the effective broadening of the active material are key to improving device performance defined by the ratio of energy-bandwidth and footprint. We further show how the waveguide's polarization must be in-plane with graphene, such as given by plasmonic-slot structures, for performance improvements. A high device performance can be obtained by introducing multi- or bi-layer graphene modulator designs. Lastly, we present recent results of a graphene-based hybrid-photon-plasmon modulator on a silicon platform and discuss electron beam lithography treatments for transferred graphene for the relevant Fermi level tuning. Being physically compact, this 100  aJ/bit modulator opens the path towards a novel class of attojoule efficient opto-electronics.

Waveguide-based electro-absorption modulator performance: comparative analysis

Electro-optic modulators perform a key function for data processing and communication. Rapid growth in data volume and increasing bits per second rates demand increased transmitter and thus modulator performance. Recent years have seen the introduction of new materials and modulator designs to include polaritonic optical modes aimed at achieving advanced performance in terms of speed, energy efficiency, and footprint. Such ad hoc modulator designs, however, leave a universal design for these novel material classes of devices missing. Here we execute a holistic performance analysis for waveguide-based electro-absorption modulators and use the performance metric switching energy per unit bandwidth (speed). We show that the performance is fundamentally determined by the ratio of the differential absorption cross-section of the switching material's broadening and the waveguide effective mode area. We find that the former shows highest performance for a broad class of materials relying on Pauli-blocking (absorption saturation), such as semiconductor quantum wells, quantum dots, graphene, and other 2D materials, but is quite similar amongst these classes. In this respect these materials are clearly superior to those relying on free carrier absorption, such as Si and ITO. The performance improvement on the material side is fundamentally limited by the oscillator sum rule and thermal broadening of the Fermi-Dirac distribution. We also find that performance scales with modal waveguide confinement. Thus, we find highest energy-bandwidth-ratio modulator designs to be graphene, QD, QW, or 2D material-based plasmonic slot waveguides where the electric field is in-plane with the switching material dimension. We show that this improvement always comes at the expense of increased insertion loss. Incorporating fundamental device physics, design trade-offs, and resulting performance, this analysis aims to guide future experimental modulator explorations.

A survey of staffing levels in paediatric diabetes services throughout the UK

AIMS

To assess staffing levels of healthcare professionals involved in the care of children and young people with diabetes in the UK.

METHODS

A web-based questionnaire was distributed to lead consultant paediatricians from all paediatric diabetes services in the UK between October and December 2014. Data on staffing levels and other aspects of diabetes services were collected and differences between the four nations of the UK and across the 10 English diabetes networks were explored.

RESULTS

Some 175 services (93%) caring for 29 711 children and young people aged ≤ 24 years with diabetes participated in the survey. Northern Ireland and Wales had the lowest ratio of total staff to patient population. Nursing caseloads per one whole-time equivalent (WTE) nurse ranged from 71 patients in England to 110 patients in Northern Ireland with only 52% of the UK services meeting the Royal College of Nursing recommended nurse-to-patient ratio of > 1 : 70. Scotland and Northern Ireland had the highest ratio of consultants and fully trained doctors per 1000 patients (3.5 WTE). Overall, 17% of consultants had a Certificate of Completion of Training in Endocrinology and Diabetes. Some 44% of dietitians were able to adjust insulin dose. Only 43% of services provided 24-h access to advice from the diabetes team and 82% of services had access to a psychologist. Staffing levels adjusted for volume were not directly related to glycaemic performance of services in England and Wales.

CONCLUSIONS

Wide variations in staffing levels existed across the four nations of the UK and important gaps were present in key areas.

Clinic variation in glycaemic control for children with Type 1 diabetes in England and Wales: a population-based, multilevel analysis

AIM

To understand the scope for improving children's glycaemic outcomes by reducing variation between clinics and examine the role of insulin regimen and clinic characteristics.

METHODS

Cross-sectional analysis of 2012-2013 National Paediatric Diabetes Audit data from 21 773 children aged < 19 years with Type 1 diabetes cared for at 176 clinics organized into 11 regional diabetes networks in England and Wales. Variation in HbA_1c was explored by multilevel models with a random effect for clinic. The impact of clinic context was quantified by computing the per cent of total variation in HbA_1c which occurs between clinics (intraclass correlation coefficient; ICC).

RESULTS

Overall, 69 of the 176 diabetes clinics (39%) had a glycaemic performance that differed significantly from the national average after adjusting for patient case-mix with respect to age, gender, diabetes duration, deprivation and ethnicity. However, differences between clinics accounted for 4.7% of the total variation in HbA_1c . Inclusion of within-clinic HbA_1c standard deviation led to a substantial reduction in ICC to 2.4%. Insulin regimen, clinic volume and diabetes networks had a small or moderate impact on ICC.

CONCLUSIONS

Differences between diabetes clinics accounted for only a small portion of the total variation in glycaemic control because most of the variation was within clinics. This implies that national glycaemic improvements might best be achieved not only by targeting poor centres but also by shifting the whole distribution of clinics to higher levels of quality.