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Purpose: To evaluate service access for women with epilepsy (WWE) during pregnancy; to determine seizure frequency and rates of adherence to anti-seizure medication (ASM).\ud \ud Methods: Between June 2019-June 2020, pregnant WWE within NHS Greater Glasgow and Clyde health-board were identified from the National Obstetric Register. A manual review of electronic patient records was undertaken to ensure diagnostic accuracy, as well as determine contact with epilepsy services and documented seizures. Medication dispensing records were obtained six months before and six months after midwifery booking and measures of ASM adherence calculated.\ud \ud Results: Between June 2019-June 2020, 4592 women were registered with a pregnancy. Eighty-five (1.9%) were identified as having active epilepsy (generalised- 40/85 (47.0%), focal- 35/85 (41.2%), unclassified- 10/85 (11.8%)). Preconceptually, 42/85 WWE (49.4%) had input from epilepsy services. Only 59/85 (69.4%) were reviewed during pregnancy (First trimester- 21/59 (35.6%), Second trimester- 25/59 (42.4%) and Third trimester- 13/59 (22.0%)). Seizure occurrence was documented in 37/85 WWE (43.5%) during the antenatal/postnatal period. 71/85 WWE (83.5%) were prescribed ASM. Poor adherence was noted in 50/85 (58.9%) and a documented seizure recorded in 26/50 (52.0%) of these women.\ud \ud Conclusion: Too many WWE do not receive input from epilepsy services during pregnancy, leaving some with poor ASM adherence and continued seizures. We aim to use “near-live” obstetric and dispensing data to facilitate early identification of WWE, promoting timely access to epilepsy specialists. This will also provide an opportunity to address concerns regarding ASM safety and allow medication dose changes to be considered.

Purpose: \ud To examine the rate of persistence with anti-seizure medications (ASMs) in a cohort of patients with epilepsy, and to investigate the impact of a range of clinical and demographic factors on persistence\ud \ud Methods: \ud Patients receiving ASMs for epilepsy were identified from linked, routinely collected data within the NHS Greater Glasgow and Clyde health board area between January 2011 and August 2019. Persistence with individual ASMs at 365-days after initiation was assessed using a 90-day allowable gap between individual prescriptions. Univariate logistic regression was used to estimate the association between 1-year persistence with ASM and demographic characteristics, comorbidities, and medication characteristics.\ud \ud Results: \ud In total, 6,449 patients with epilepsy were identified – 1,631 were new users of ASMs at baseline and 4,818 had been prescribed at least one ASM prior to baseline. Persistence with individual ASMs ranged 11.8% to 78.6%. Persistence was significantly lower in younger patients and patients who had previously been non-persistent to ASMs. Persistence was higher amongst those with cardiac comorbidities, previous stroke, or higher overall comorbidity, as well as those prescribed newer ASMs.\ud \ud Conclusion: \ud Persistence varied widely. Demographic factors, previous non-persistence and overall number of comorbidities were more important determinants of persistence to anti-seizure medications than specific individual comorbidities. Interventions to improve persistence should be targeted at younger patients from more deprived backgrounds and those who have previously been non-persistent with ASMs.

This study was conducted during 2019/2020 on sweet cherry trees (Prunus Avium L.) (Bing and Hardy Giant) cultivar planted at Sergaya-Al_Zabadani area of Rural Damascus, to reduce fruit drop of sweet cherry. The experiment included 4 foliar applications: T1: control, T2: GA3 (100 ppm), T3: NAA (20 ppm), T4: (100 ppm GA3 + 20 ppm NAA). Fruit set and fruit drop percentage, fruiting factor, and yield were recorded. The results showed that treatment with (100 ppm GA3 + 20 ppm NAA) recorded higher fruit set percentage (73.81% and 75.62%), and fruiting factor (48.38% and 50.04%) respectively; In addition to fruit yield (40.19 and 41.21 kg/tree) for both cultivars, compared to the control (9.13, 6.60 kg/tree). Therefore, it can be concluded that GA3 + NAA treatment reduced Sweet cherry fruit drop better than other treatments, where fruit drop percentage didn’t exceed (63.11% and 62.01%) in both cultivars (Bing and Hardy Giant) respectively, compared to the control (80.92% and 80.64%).

Spider silk is a biomaterial with exceptional mechanical toughness, and there is great interest in developing biomimetic methods to produce engineered spider silk-based materials. However, the mechanisms that regulate the conversion of spider silk proteins (spidroins) from highly soluble dope into silk are not completely understood. The N-terminal domain (NT) of Euprosthenops australis dragline silk protein undergoes conformational and quaternary-structure changes from a monomer at a pH above 7 to a homodimer at lower pH values. Conversion from the monomer to the dimer requires the protonation of three conserved glutamic acid residues, resulting in a low-pH `locked' dimer stabilized by symmetric electrostatic interactions at the poles of the dimer. The detailed molecular events during this transition are still unresolved. Here, a 2.1 Å resolution crystal structure of an NT T61A mutant in an alternative, asymmetric, dimer form in which the electrostatic interactions at one of the poles are dramatically different from those in symmetrical dimers is presented. A similar asymmetric dimer structure from dragline silk of Nephila clavipes has previously been described. It is suggested that asymmetric dimers represent a conserved intermediate state in spider silk formation, and a revised `lock-and-trigger' mechanism for spider silk formation is presented.

In this study, SnO2 nanorods (SnO2 NRs) and SnO2 nanorods–nanoporous graphene hybrids, SnO2 NRs-NPG, with two different weight ratios (0.05 and 0.1) of nanoporous graphene to tin salt have been prepared as sensing materials. These materials were synthesized via a facile hydrothermal method and print screened on alumina substrates for low-temperature methane (CH4) gas sensors. The structure and morphology of the fabricated sensing materials were characterized by X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), Brunauer–Emmett–Teller (BET) method, transmission electron microscopy (TEM) and field emission scanning electron microscopy (FE-SEM). The results showed that in the case of SnO2 NRs-NPG hybrids, the porous graphene sheets are decorated with SnO2 nanorods. The gas response of the prepared hybrid samples to 1000 ppm methane gas was investigated at 100–200 °C. The nanohybrid with 0.05 wt ratios of nanoporous graphene to tin salt showed significant sensor response of 24.9–51% to 1000–10000 ppm methane at a relatively low operating temperature of 150 °C which is about 600% higher than that of pure SnO2 nanorods. The substantial enhancement in the gas detection of SnO2 NRs-NPG nanohybrid, compared to the pristine SnO2, can be attributed to its larger specific surface area, the presence of nanoporous graphene as a good conductor and interactions between nanoporous graphene and SnO2 nanorods.

Funding: This research was supported by a grant from TENOVUS Scotland, a national charity supporting medical research and involved in the improvement of healthcare within Scotland, UK. Introduction: Substance misuse is not uncommonly recognized in people with epilepsy (PWE). Mortality is significantly greater in those with comorbid substance misuse, but it remains unclear whether epilepsy care and management contribute to this. This cohort study aimed to compare the rates of mortality in PWE receiving opiate replacement therapy (ORT) and PWE alone, as well as evaluate their medication adherence, levels of engagement with epilepsy services as currently delivered, and utilization of unscheduled hospital care. Material and methods: A 5-year historical cohort for PWE was identified and manually validated using electronic patient records registered with NHS Tayside. Overall incidence rates for mortality and contact with emergency health care services were calculated for PWE receiving ORT and PWE alone. Engagement with outpatient epilepsy services was also noted. Adherence to antiepileptic drugs (AEDs) was expressed in terms of medication possession ratio (MPR). Results: Of the 1297 PWE attending a tertiary care epilepsy service, 68 (5.3%) PWE were receiving ORT. The mortality rate was significantly greater in PWE on ORT in comparison to PWE only (7.4% vs 1.7 %; P

The study aims to increase the fruitset percentage of sweet cherry trees, reduce their fall rate and increase fruit retention percentage that reaches the maturity stage. It was conducted during 2019/2020 years at Cherry orchard located in Sargaya- Al- Zabadani area in Rural Damascus, in Syria. the experiment included 4 foliar spray treatments (T1: Control, T2: Zn (100 ppm), T3: B (500 ppm), T4: (100 ppm Zn + 500 ppm B) on sweet cherry trees (Prunus Avium L.) cultivar (Bing) the fruitset percentage, fruit drop percentage, fruiting factor, and yield quantity were calculated for all treatments. The results showed that all treatments (T2, T3, T4) recorded higher fruitset percentage, compared to the control (T1) with no significant differences between (74.83, 76.35, 76.25%) respectively, while the control fruitset percentage (72.76%), and (T4) has achieved the highest percentage of fruiting factor (41.40%) with no significant differences between it and treatment (T3) (37.12%), and the highest yield (19.98 kg), as well as (T2, T3) treatments was (9.39, 10.80 kg/tree) respectively, while the control yield was (5.93 kg/tree). Therefore, it can be considered that treatment (T4) has succeeded in reducing Sweet cherry fruit drop, where the fruit drop percentage didn't exceed (70.27%), and in (T2, T3) treatments was (74.94, 72.99%) respectively, while it reached in the control treatment to (80.64%).

In this study, a novel, simple, high yield, and scalable method is proposed to synthesize highly porous MoS

The main challenge in utilizing permeable reactive barriers (PRB) for remediation of metals-contaminated groundwater is determination of a proper low-cost reactive medium that can remove the desired contaminants simultaneously. In this study, the performance of different zeolite materials and nZVI-based adsorbents for cadmium (Cd) removal was compared. Further, a composite of the best nZVI and zeolite samples was synthesized with the removal efficiency of 20.6 g/kg and selected as the proposed adsorbent. Moreover, the characteristics of the composite were analyzed through different techniques (BET, XRF, XRD, FT-IR, FE-SEM and EDX). In addition, through kinetic and thermodynamic studies, the effect of temperature, pH, ionic strength and presence of other metal ions on Cd removal efficiency was investigated. According to the results, since sodium zeolite (NaZ) provides a large number of specific ion-exchange sites for decoration with nZVI, stabilizes nZVI, and prevents its aggregation and further leaching in the harsh environment, the NaZ-nZVI composite is capable of removing Cd by adsorption and is applicable in PRBs, and thus it seems that the aforementioned composite is a proper candidate for groundwater remediation from a wide range of metal ions.

In this study, SnO2 quantum dots-fullerene (SnO2 QDs-C60) nanohybrid as novel sensing material was synthesized by a simple hydrothermal method. The structure and morphology of the synthesized sample were studied by using X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR) and transmission electron microscopy (TEM). The prepared hybrid was used as gas sensors for detection of different gasses including 70 ppm H2S, 1% methane, and 1% propane at low temperatures of 100–200 °C. The results indicated that the SnO2 QDs-C60 nanohybrid has high response and high selectivity to 70 ppm H2S, 1% methane, and 1% propane gasses at low temperatures. The highest response (Rair/Rgas) of 66.0 and 5.4–70 ppm H2S and 1% methane gasses at 150 °C and the response of 2.7–1% propane at 200 °C were observed for the prepared nanohybrid gas sensor. Moreover, the prepared sensor showed a good selectivity toward H2S gas. Also, DFT calculations were used for studying the interaction of these gases with SnO2-C60. DFT results showed that H2S has the strongest interaction and the highest effect on band-gap variation which is in a good agreement with experimental results.

Stannic oxide nanoparticles and various compositions of SnO2@rGO (reduced graphene oxide) nanohybrids were synthesized by a facile hydrothermal method and utilized as chemiresistive methane gas sensors. To characterize the synthesized nanohybrids, BET (Brunauer-Emmett-Teller), XRD, FESEM, TEM, FTIR, and Raman techniques were used. Sensing elements were tested using a U-tube flow chamber with temperature control. To obtain the best sensor performance, i.e., the highest signal and the fastest response and recovery times, the sensing element composition, operating temperature, and gas flow rate were optimized. The highest response (change in resistance) of 47.6% for 1000 ± 5 ppm methane was obtained with the SnO2@rGO1% nanohybrid at 150 °C and a flow rate of 160 sccm; the response and recovery times were 61 s and 5 min, respectively. A sensing mechanism was suggested, based on the experiments.