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The contemporary appearance of the term “digital literacy” on university websites suggests institutional interests on digital literacy that focus not only on the development of technology skills but also cognitive and attitudinal aspects in student development. This paper presents an exploration of institutional conceptions of digital literacy based on document analysis of university published information online. The investigation involved universities located in Australia as embedded case studies (n=42). Evidence suggests variations in defining this term and shows that universities have diverse goals as espoused in their corresponding definitions of digital literacy, from developing technical skills of using and understanding technology, to possessing a set of capabilities for living, learning and working in an increasingly digital world. For universities who enumerated a coherent account of digital literacy, the results indicate that their practices of promoting the development of digital literacy are entrenched in their espoused intent of graduate outcomes. The paper concludes with curricular and pedagogical implications in preparing and assisting students for the challenges of 21st century living, learning and working.

The objective of the present study is to evaluate the molecular docking, antimicrobial, anticancer activity of the Schiff based Cobalt (II), Nickel (II), Copper (II) and Cadmium (II) complexes derived from 3, 4 – diamino benzophenone, salicylaldehyde and glutaric anhydride. The Schiff base ligand and their complexes have been further identified by 1H NMR, 13C NMR. All the Schiff base metal complexes have been screened for their Antimicrobial and anticancer effect. The anticancer activity was studied using MTT assay which showed that the increase in concentration of compound increases the cell death. At 7.8 µg/ml concentration there is an increased anticancer activity, i.e., around more than 97% of cell inhibition. The results of anticancer activity may be positively correlated.

There are two types of timing irregularities seen in pulsars: glitches and timing noise. Both of these phenomena can help us probe the interior of such exotic objects. This article presents a brief overview of the observational and theoretical aspects of pulsar timing irregularities and the main results from the investigations of these phenomena in India. The relevance of such Indian programs for monitoring of young pulsars with the Square Kilometer Array (SKA) is presented, highlighting possible contributions of the Indian neutron star community to the upcoming SKA endeavour., Comment: 7 figure. Accepted for publication in the Journal of Astrophysics and Astronomy : SKA special issue

Background The efficacy of catheter ablation of atrial fibrillation (AF) is reported to stabilise at 5-year, but most studies report up to 3-year-outcomes only. Objective To perform a systematic review and meta-analysis of outcomes at 5-years following AF ablation. Methods We searched PubMed and Embase for studies reporting on ≥5-year outcomes following AF ablation, including freedom from atrial arrhythmia, all-cause death, stroke, and major bleeding. All meta-analyses were performed using the “meta” package in R with pooled incidence calculated using log transformation. Results Among 5,764 studies screened, 58 (n=41,344 patients) were included for analysis. The pooled mean age was 60.3y, 68.7% male, 78.4% paroxysmal AF, and radiofrequency was the most common ablation energy (72.4%). Most (51.5%) patients had hypertension, but the pooled rates of other comorbidities were low (heart failure: 9.0%, coronary artery disease: 12.8%, diabetes: 11.0%, and previous stroke: 8.5%). Pooled incidence of freedom from atrial arrhythmia at 5-years was 47.6% (95% CI 43.8%-51.6%, I2=98.4%) after a single procedure and increased to 64.3% (95% CI 59.6%-69.3%, I2=98.3%) after multiple procedures (Figure 1). The incidence was higher among patients with paroxysmal compared with non paroxysmal AF (55.9% vs. 28.7% and 82.2% vs. 47.6% after single and multiple procedures respectively). Retrospective studies reported slightly higher incidence of arrhythmia freedom (single procedure: 51.2% vs. 46.7%; multiple procedures: 66.9% vs. 61.9%) than did prospective studies. Few studies reported outcomes other than atrial arrhythmia free survival at 5-years (n=14) and incidences of these outcomes could only be pooled for multiple procedures. Pooled incidences of death, stroke, and major bleeding at 5-years were 8.0% (95% CI 4.2%-15.2%, I2=95.8%), 2.3% (95% CI 1.4%-3.6%, I2=72.9%), and 1.1% (95% CI 0.6%-1.8%, I2=32.5%), respectively (Figure 2). Conclusion At five-years, only up to 65% of patients undergoing AF ablations remained free from atrial arrhythmia although there was significant heterogeneity among individual studies. Encouragingly, these patients had low risk of dying, experiencing a stroke or major bleeding (all incidences Funding Acknowledgement Type of funding sources: None.

The presented work represents phytochemical analysis, Antioxidant assay and Antimicrobial activity of Bhut jolokia pepper (Capsicum chinense Jacq) extracted by ethanol as solvent. The ethanolic extract of Bhut jolokia pepper showed the presence of terpenoids, steroids, saponins and flavonoids. Antimicrobial assay was done with varying concentration (250-1000µg/ml) of pepper extract using tetracycline as control by well diffusion method, the extract at 750µg/ml shown best inhibition zone and Staphylococcus aureus showed the highest zone of inhibition at all concentration compared to other bacteria species with maximum zone of inhibition of 27mm. The DPPH scavenging assay for antioxidant activity at 517nm showed positive activity for scavenging, scavenging increased with the concentration of extract. Thus, Bhut jolokia could be effective in treating diseases caused by Staphylococcus aureus from antimicrobial assay result.

In recent year’s trend towards authentication, standardization and quality assurance of selected medicinal plants has been rapid increase for potential therapeutic significance. Despite the modern techniques, identification of plant drug by pharmacognostic study is more reliable. In Ayurveda, a traditional system of medicine Musa Paradisiaca is commonly used in Asthma, Diabetes, Anthelmintic, Hypertension, Insomnia, Snake bite. The whole plant as well as specific parts (leaves, ripe and unripe fruits, stems) of plant extract and its active constituents have been used for the treatment of large number of human ailments. Phytochemicals are virtually present in all the fruits, vegetables, pulses/legumes and grains which are commonly consumed, so it is quite easy to incorporate them in our daily diet. Current research studies were carried out for evaluating the antioxidant activities of ethanol bract extract of Musa paradisiaca. Antioxidant activities such as DPPH˙ radical, Superoxide (O2.-) radical, Nitric Oxide (NO) radical, ABTS●+ radical cation, phosphomolybdenum reduction and Fe3+ reduction were carried out for ethanol bract extract of Musa paradisiaca. The maximum DPPH˙ radical, Superoxide (O2.-) radical and Nitric Oxide (NO) radical scavenging activities were 52.05±0.38%, 57.71±0.45% and 49.63±0.32% at 120 µg/mL concentration and the IC50 values were 68.47 µg/mL, 71.37 µg/mL and 93.94 µg/mL concentrations respectively. The maximum ABTS●+ radical cation scavenging activity was 84.28±0.13% at 30 µg/mL concentration and the IC50 value was 10.04 µg/mL concentration respectively. The maximum Mo6+ reduction and Fe3+ reduction were 45.38±0.40% and 57.06±0.32% at 120 µg/mL concentration and the RC50 values were 121.44 µg/mL and 85.43 µg/mL concentrations respectively. Z-2-Tridecen-1-ol, Nonadecane-2,4-dione, a-Ketostearic acid, 2,5-Furandione, dihydro-3-(2-tetradecenyl)- were found to be the potent antioxidant compounds detected from GC-MS analysis. Keywords: Antioxidant, phenolic compounds, Nitric Oxide (NO) radical, ABTS●+ radical cation, Fe3+ reduction and a-Ketostearic acid.

Foods that have disease-preventing potential are designated as functional foods. Functional foods are foods that provide health benefits beyond basic nutrition. A large number of antioxidants, both nutritive and nonnutritive, occur in foods. The potency of antioxidants present in foods in vivo will depend not only on their levels in the foods but also on their bioavailability, that is, the extent to which the active forms of antioxidants are released from the food and absorbed through the gut. Most of phytochemicals, components of food, beverages, and herbal products are often reported in literature as “nutraceutical”, emphasizing their health promoting properties, including the prevention and treatment of pathologies like cancer, cardiovascular diseases, neural disorders, and Alzheimer’s disease. Phytochemicals are virtually present in all the fruits, vegetables, pulses/legumes and grains which are commonly consumed, so it is quite easy to incorporate them in our daily diet. Current research studies were carried out for evaluating the antioxidant and antibacterial activities of ripe fruits of ethanol extract of Prunus cerasifera. Antioxidant activities such as DPPH˙ radical, Superoxide (O2.-) radical, ABTS●+ radical cation, phosphomolybdenum reduction and Fe3+ reduction were carried out for ripe fruits of ethanol extract of Prunus cerasifera. The maximum DPPH˙ radical and Superoxide (O2.-) radical scavenging activities were 82.11±0.42% and 46.26±0.28% at 120 µg/mL concentration and the IC50 values were 45.40 µg/mL and 129.70 µg/mL concentrations respectively. The maximum ABTS●+ radical cation scavenging activity was 88.64±0.43% at 30 µg/mL concentration and the IC50 value was 10.09 µg/mL concentration respectively. The maximum Mo6+ reduction and Fe3+ reduction were 86.29±0.29% and 79.82±0.20% at 120 µg/mL concentration and the RC50 values were 20.45 µg/mL and 24.21 µg/mL concentrations respectively. The antibacterial activity of ripe fruits of ethanol extract of Prunus cerasifera showed maximum zone of inhibition of 20 mm for Bacillus subtilis at 500 µg/mL concentration. Keywords: Antioxidant, Superoxide (O2.-) radical, ABTS●+ radical cation, Fe3+ reduction and phenolic compounds.

BackgroundBronchiectasis can result from infectious, genetic, immunological and allergic causes. 60–80% of cases are idiopathic, but a well-recognised genetic cause is the motile ciliopathy, primary ciliary dyskinesia (PCD). Diagnosis of PCD has management implications including addressing comorbidities, implementing genetic and fertility counselling and future access to PCD-specific treatments. Diagnostic testing can be complex; however, PCD genetic testing is moving rapidly from research into clinical diagnostics and would confirm the cause of bronchiectasis.MethodsThis observational study used genetic data from severe bronchiectasis patients recruited to the UK 100,000 Genomes Project and patients referred for gene panel testing within a tertiary respiratory hospital. Patients referred for genetic testing due to clinical suspicion of PCD were excluded from both analyses. Data were accessed from the British Thoracic Society audit, to investigate whether motile ciliopathies are underdiagnosed in people with bronchiectasis in the UK.ResultsPathogenic or likely pathogenic variants were identified in motile ciliopathy genes in 17 (12%) out of 142 individuals by whole-genome sequencing. Similarly, in a single centre with access to pathological diagnostic facilities, 5–10% of patients received a PCD diagnosis by gene panel, often linked to normal/inconclusive nasal nitric oxide and cilia functional test results. In 4898 audited patients with bronchiectasis, ConclusionsPCD is underdiagnosed as a cause of bronchiectasis. Increased uptake of genetic testing may help to identify bronchiectasis due to motile ciliopathies and ensure appropriate management.

We study the properties of pasta structures and their influence on the neutron star observables employing the effective relativistic mean-field (E-RMF) model. The compressible liquid drop model is used to incorporate the finite size effects, considering the possibility of nonspherical structures in the inner crust. The unified equation of states are constructed for several E-RMF parameters to study various properties such as pasta mass and thickness in the neutron star's crust. The majority of the pasta properties are sensitive to the symmetry energy in the subsaturation density region. Using the results from Monte Carlo simulations, we estimate the shear modulus of the crust in the context of quasiperiodic oscillations from soft gamma-ray repeaters and calculate the frequency of fundamental torsional oscillation mode in the inner crust. Global properties of the neutron star such as mass-radius profile, the moment of inertia, crustal mass, crustal thickness, and fractional crustal moment of inertia are worked out. The results are consistent with various observational and theoretical constraints., Comment: 16 pages, 10 figures, 3 tables, Published in Phys Rev. D. The unified equation of states are available on GitHub (https://github.com/hcdas/Unfied_pasta_eos)

A nursing handover involves one nurse handing over the responsibility of care for a patient to another nurse. Failure of ineffective nursing handover is associated with medication errors, delayed diagnostic testing, adverse reactions, and sentinel events. Critical information related to patient care must be efficiently communicated among registered nurses during bedside handover. This study examined registered nurses' perception, satisfaction, and compliance with bedside handovers in a private hospital in Malaysia. A quasi-experimental study using one group pre and post was conducted. A purposive sampling of 154 registered nurses who had experienced practising bedside report handover participated in the study. Compliance of registered nurses with clinical bedside handover practices was assessed using the bedside handover audit tool. The researchers used the handover evaluation scale to assess the perception of nurses regarding bedside handover. A researcher self-developed questionnaire with seven items on a 5-point Likert scale was used to assess satisfaction among registered nurses. Data was collected from 1st July 2020 to 30th December 2020. The researcher organised a bedside handover training program for the participants, and data was collected pre and post-training. The result shows the perception mean score of the pre-intervention phase as M= 5.68 (SD =.58) and post-intervention phase as M = 5.71 (SD =.38). Satisfaction level before the intervention was M = 4.13 (SD =.47) and after M = 4.31(SD =.41). This study confirmed that compliance with bedside handover (M = 66.69, SD = 5.95) was greater than in the post-intervention phase (M = 99.06, SD = 1.96). Data demonstrated an increase in perception, satisfaction, and compliance after the bedside handover education program. In conclusion, the handover practice of bedside reports and education training promotes positive working conditions, employee satisfaction, and a safe work environment, resulting in significantly increased efficiency, patient outcomes, and preservation of a safe workplace.

We present the quantum simulation of the deuteron to calculate its binding energy using the variational quantum eigensolver, which is based on a hybrid quantum-classical approach. Apart from a commonly used Hamiltonian derived from pionless effective field theory, we consider the interaction which can be easily studied with conventional classical methods but the corresponding operator leading to nonzero off-tridiagonal matrix elements. To map the many-body basis states on the qubit states, three encodings are explored, namely, one-hot, Bravyi-Kitaev, and the Gray code. We perform a generalized transformation for many-body operators in Gray code encoding, and simulate the Hamiltonians with nonzero off-tridiagonal matrix elements. Furthermore, the analyses of the relative efficiency of all encodings and corresponding transformations are carried out using the noise model of a real IBM quantum device. We demonstrate that the Gray code is more efficient for a large basis, irrespective of the form of potential and the presence of hardware noise.

Konsep kemahiran berfikir aras tinggi (HOS) telah digunakan dalam pendidikan matematik sejak sekian lama. Pelajar akan belajar cara menyelesaikan masalah dengan berkesan dan analitikal menggunakan pendekatan ini. Seorang guru memainkan peranan yang penting dalam mendedahkan idea ini kepada pelajar agar mereka sama-sama boleh mendapat manfaat daripada penggunaannya. Walau bagaimanapun, bukan mudah untuk mendalami konsep dan strategi dalam mengaplikasikan KBAT khususnya dalam subjek matematik di dalam kelas. Objektif utama penyelidikan ini adalah untuk memahami dengan lebih lanjut mengenai persediaan guru matematik sekolah rendah dalam penggunaan KBAT di dalam bilik darjah dan dengan pelajar mereka. Kajian ini menggunakan kajian kuantitatif di mana ia melibatkan 61 orang guru matematik di sekitar Selangor. Dapatan kajian menunjukkan guru sekolah rendah bersedia untuk mengaplikasikan konsep KBAT.

Curcuma longa commonly known as turmeric belongs to the family Zingiberaceae. It is mainly used for treating chronic diseases especially Diabetes mellitus. The present study aims at evaluating the anti-oxidant, anti-haemolytic, anti-angiogenesis and anti-bacterial activities of Curcumin fraction. Different antioxidant assays were carried out for evaluating the antioxidant capacity of aqueous extract of Curcuma longa. The maximum1, 1-diphenyl 2-picrylhydrazyl (DPPH) radical scavenging activity of curcumin fraction was 30.62±0.87% at 60 μg/mL concentration. The inhibitory concentration (IC50) values of DPPH radical scavenging activity was 97.97 μg/mL concentration. The maximum superoxide radical scavenging activity of Curcuma longa extract was 57.01±0.17% at 60 μg/mL concentration and the inhibitory concentration (IC50) was 46.91 μg/mL concentration. The maximum anti-haemolytic activity of curcumin fraction was 44.53±0.84 and the IC50 was 67.37 μg/mL. The maximum Fe3+ reduction and Mo6+ reduction were 54.85±0.35% and 61.13±0.21% at 60 μg/mL concentration and the reduction concentration (RC50) were 51.59 μg/mL and 28.69 μg/mL concentration respectively.

The genus Nelumbo is endowed with a number of medicinally important activities antidiabetic, antipyretic, anti-inflammatory, anti-cancerous, antimicrobial, antiviral and anti-obesity properties. Furthermore, Nelumbo nucifera flowers are served as healthy beverages to treat hypertension, cancer, diarrhea, fever, weakness, infection and body heat imbalance. It has been widely used in folk medicine for the treatment of various inflammatory and infectious diseases. Current research studies were carried out for evaluating the antioxidant, antidiabetic and antibacterial activities of fresh aqueous pink petals of Nelumbo nucifera. Antioxidant activities such as DPPH˙ radical, Superoxide (O2.-) radical, ABTS●+ radical cation, phosphomolybdenum reduction and Fe3+ reduction were carried out for fresh aqueous pink petals of Nelumbo nucifera. The maximum DPPH˙ radical scavenging activity was 88.33±0.47% at 300 µg/mL concentration and the IC50 value was 131.68 µg/mL concentration. The maximum superoxide (O2.-) radical scavenging activity was 86.76±0.31% at 120 µg/mL concentration and the IC50 value was 21.31 µg/mL concentration. The maximum ABTS●+ radical cation scavenging activity was 69.55±0.26% at 30 µg/mL concentration and the IC50 value was 10.82 µg/mL concentration respectively. The maximum Mo6+ reduction was 84.54±0.21% at 45 µg/mL concentration and the RC50 value of Mo6+ reduction was 25.79 µg/mL concentration. The maximum Fe3+ reduction was 56.00±0.38% at 300 µg/mL concentration and the RC50 value of Fe3+ reduction was 177.30 µg/mL concentration respectively. The maximum alpha amylase enzyme inhibition was 66.37±0.10% at 300 µg/mL concentration and the IC50 value was 63.84 µg/mL concentration respectively. The antibacterial activity of fresh aqueous pink petals of Nelumbo nucifera showed maximum zone of inhibition of 14 mm for B. subtilis and minimum zone of inhibition of 10 mm for E. coli at 375 µg/mL concentration. Keywords: Antioxidant, Superoxide (O2.-) radical, ABTS●+ radical cation, Fe3+ reduction and alpha-amylase.

We have interpreted the recent observation [K. Auranen et al., Phys. Lett. B 792, 187 (2019)] of proton emission from $^{108}\mathrm{I}$. We find that $\ensuremath{\gamma}$ deformation is crucial to reproduce the experimental data, and have identified the decaying state as the ${1}^{+}$ state. The effect of the residual $np$ interaction is also discussed. With the present calculation, we establish the first microscopic description of a triaxial odd-odd proton emitter.

The nonadiabatic quasiparticle approach is applied to study chiral doublet bands in $^{128}\mathrm{Cs}, ^{130}\mathrm{Cs}$, and $^{130}\mathrm{La}$. The calculated energy spectra and electromagnetic transition probabilities reproduce quite well the experimental data. $^{130}\mathrm{Cs}$ turns out to be a better example for chiral symmetry breaking than $^{128}\mathrm{Cs}$, unlike it has been suggested in earlier studies. We present the first theoretical investigation of chiral geometry and its correlation with the single-particle configurations in $^{130}\mathrm{La}$ to understand the mode of chirality, i.e., static or vibrational.

Pathogenic variants in Lysyl-tRNA synthetase 1 (KARS1) have increasingly been recognized as a cause of early-onset complex neurological phenotypes. To advance the timely diagnosis of KARS1-related disorders, we sought to delineate its phenotype and generate a disease model to understand its function in vivo. Through international collaboration, we identified 22 affected individuals from 16 unrelated families harboring biallelic likely pathogenic or pathogenic in KARS1 variants. Sequencing approaches ranged from disease-specific panels to genome sequencing. We generated loss-of-function alleles in zebrafish. We identify ten new and four known biallelic missense variants in KARS1 presenting with a moderate-to-severe developmental delay, progressive neurological and neurosensory abnormalities, and variable white matter involvement. We describe novel KARS1-associated signs such as autism, hyperactive behavior, pontine hypoplasia, and cerebellar atrophy with prevalent vermian involvement. Loss of kars1 leads to upregulation of p53, tissue-specific apoptosis, and downregulation of neurodevelopmental related genes, recapitulating key tissue-specific disease phenotypes of patients. Inhibition of p53 rescued several defects of kars1−/− knockouts. Our work delineates the clinical spectrum associated with KARS1 defects and provides a novel animal model for KARS1-related human diseases revealing p53 signaling components as potential therapeutic targets.

PurposeLamins are the major component of nuclear lamina, maintaining structural integrity of the nucleus. Lamin A/C variants are well established to cause a spectrum of disorders ranging from myopathies to progeria, termed laminopathies. Phenotypes resulting from variants in LMNB1 and LMNB2 have been much less clearly defined.MethodsWe investigated exome and genome sequencing from the Deciphering Developmental Disorders Study and the 100,000 Genomes Project to identify novel microcephaly genes.ResultsStarting from a cohort of patients with extreme microcephaly, 13 individuals with heterozygous variants in the two human B-type lamins were identified. Recurrent variants were established to be de novo in nine cases and shown to affect highly conserved residues within the lamin ɑ-helical rod domain, likely disrupting interactions required for higher-order assembly of lamin filaments.ConclusionWe identify dominant pathogenic variants in LMNB1 and LMNB2 as a genetic cause of primary microcephaly, implicating a major structural component of the nuclear envelope in its etiology and defining a new form of laminopathy. The distinct nature of this lamin B–associated phenotype highlights the strikingly different developmental requirements for lamin paralogs and suggests a novel mechanism for primary microcephaly warranting future investigation.

The development of computational methods to assess pathogenicity of pre-messenger RNA splicing variants is critical for diagnosis of human disease. We assessed the capability of eight algorithms, and a consensus approach, to prioritize 250 variants of uncertain significance (VUSs) that underwent splicing functional analyses. It is the capability of algorithms to differentiate VUSs away from the immediate splice site as being ‘pathogenic’ or ‘benign’ that is likely to have the most substantial impact on diagnostic testing. We show that SpliceAI is the best single strategy in this regard, but that combined usage of tools using a weighted approach can increase accuracy further. We incorporated prioritization strategies alongside diagnostic testing for rare disorders. We show that 15% of 2783 referred individuals carry rare variants expected to impact splicing that were not initially identified as ‘pathogenic’ or ‘likely pathogenic’; 1 in 5 of these cases could lead to new or refined diagnoses.

Rotational bands built on positive parity $$ s_{1/2} $$, $$ d_{3/2} $$, and $$ g_{7/2} $$ valence neutron orbitals in $$ ^{127}\hbox {Xe}$$ have been investigated via in-beam $$ \gamma $$ ray spectroscopy. Excited states belonging to these one-quasineutron bands were populated via $$^{122} \hbox {Sn}( ^{9} \hbox {Be}, \hbox {4n} \gamma $$) fusion-evaporation reaction at a beam energy of 48 MeV. The level scheme has been updated by extending the low-lying rotational bands up to higher spin states, as well as, by assigning the spin/parity of the constituting energy levels. Signature splitting of low-j$$ \nu s_{1/2} $$, $$ \nu d_{3/2} $$ and high-j$$ \nu g_{7/2} $$ bands have been discussed in comparison to the neighbouring nuclei. Theoretical Modified Particle Rotor Model (MPRM) calculations have been carried out in order to study the microscopic structure of these bands.

Proton emitters play an important role in deciding the path of the astrophysical rapid proton capture (rp) process. The lifetime of these nuclei depends on several factors, like the deformation, angular momentum of the emitted proton, residual interaction between valence proton and neutron (especially in case of odd-odd nuclei) and so on. Therefore, it is worth to investigate the structure of proton emitters to understand the rp process path. However, due to lack of data in this exotic region, the theoretical models should be robust and the dependence on the free parameters should be minimal. In this direction, we have developed the first microscopic approach to study the triaxially deformed odd-odd proton emitters. The application of the developed approach to 108I, a recently observed proton emitter to investigate the end cycle of the rp process, is discussed.

In this paper, we study the comparison of Autoregressive moving average (ARMA) and Autoregressive Integrated moving average (ARIMA) model and also study posterior analysis by using the Bayesian approach. A numerical study has been carried out to illustrate the developed model.

Background: SIRT is a globally licensed technique of Radio-Embolization (RE) of hepatic tumors via intra-arterial infusion of β-particle emitting Yttrium-90 (Y-90) radio-labelled microspheres. It increases response rates and hepatic time to progression in metastatic colorectal cancer when used in combination with 5FU/Oxaliplatin (FOLFOX) chemotherapy with acceptable toxicity profile. FOLFOX gives a radio-sensitizing effect and also controls disease outside the liver. Breast cancer liver metastases (BCLM) patients often have extra-hepatic disease and respond to multiple lines of systemic therapy and SIRT is infrequently used. Methods and patients Between 2010 and 2016 we treated 25 BCLM patients with Y-90 SIRT. Receptor status: 20 ER+ve/HER-2 -ve, 3 ER-ve/HER-2 +ve, 2 triple -ve. Eleven patients had liver only disease with 14 also having known extra-hepatic disease. Average number of previous lines of therapy in metastatic setting: chemotherapy = 2.4; endocrine = 1. Sixty-four % patients had prior Capecitabine (n=16); 12% platinum (n=3, all Carboplatin). Twenty patients received chemotherapy with SIRT: 17 had modified FOLFOX6 (Oxaliplatin/bolus 5FU day1, infusional 5FU day 1-3 (46 hrs); 3 patients had Modified de Gramont style 5FU alone. Five patients had no chemotherapy. Sir-spheres were inserted on day 2 of FOLFOX with the 5FU infusion pump continuing to day 3. Further 2-weekly FOLFOX chemo cycles were at clinician's discretion: average number delivered 3.8. Four patients had the liver treated in two halves, approximately 6 weeks apart. One patient received SIRT only to half the liver. Patients were imaged with PET-CT/CT before and 2-3 months after SIRT. Retrospective case note review was performed and data correlated to evaluate tumor response (RR); hepatic and extra hepatic progression free survival (HPFS and EHPFS) and overall survival (OS). Accurate toxicity data was not recorded. Results Hepatic CT response rates: PR 56% (n=14), SD 28% (n=7) and PD 16% (n=4). Hepatic PET response rates: CR 32% (n=8), PR 40% (n=10), SD 12% (n=3), PD 16%(n=4). (Overall PET liver disease control rate = 84%). Eight patients (32%) had extra-hepatic PD at first assessment. Of them, 4 had PR, 2 SD and 2 PD in the liver at that assessment. Two HER-2 +ve patients had brain metastases as first sign of PD within 75 days, an area not previously screened. Of 16 pre-treated with Capecitabine, liver CT response rates: 62.5% PR, 18.75% SD (n=10,3). Post SIRT/FOLFOX, average number of therapy lines: 2 for chemo and 0.75 for endocrine, with 8 patients still alive at time of censoring. Median OS: 766 HPFS: 210 days (CI 140-286). Median EHPFS in patients with extra-hepatic disease: 152 days (CI 96-636). Conclusions SIRT with FOLFOX in previously treated BCLM patients produces high response rates, excellent tumor control and time to progression in the liver with good overall survival. It does not seem to decrease the ability to give further lines of chemotherapy and can be considered as an option for breast cancer patients with liver metastases. Citation Format: Wilson G, Mullamitha S, Bentley D, Bell J, Mullan D, Carter L, Chittalia A, Howell S, Laasch H-U, Westwood T, Jeans S, Tipping J, Ryder D, Farquharson F, Arumugam P, Sheen A, Rajashanker B, Armstrong A, Misra V, Manoharan P, Lawrance J. Selective internal radiation therapy (SIRT) with Yttrium-90 resin microspheres and FOLFOX/5FU chemotherapy in pre-treated breast cancer patients with liver metastases: A retrospective analysis of response rates, times to progression and survival of patients treated in Manchester UK between 2010 and 2016 [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P1-14-06.

Today’ real world data bases witnessed significant increase in the amount of data in digital format, due to the widespread use of datasets and storage system. There is a need to developing fast and highly accurate algorithms to automatically classify large data. It becomes a vital part of the machine learning and knowledge discovery. The main intention of this paper is however data sizes increases, our proposed method make faster computation and scalable machine learning algorithm is used to learn faster from the labelled training data. Due to its strong mathematical background and theoretical foundation and good generalization performance, Support Vector Machine (SVM) Classification becomes more feasible options for large datasets. A major research goal of SVM is to improve the speed in training and testing phase. In this paper We introduce a proposed algorithm to speed up the training time of SVM is presented. It is highly accurate classification method. However SVM classifiers suffer from slow processing, when training with a large set of data tuples. Our novel approach selects a small representative amount of data from large datasets to enhance training time of SVM. This method uses an induction tree to reduce the training dataset for SVM classification, it generate faster results with improving accuracy rates than the current SVM implementations.

Rainfall is natural phenomenon and major component of the water cycle and is responsible for depositing most of the fresh water on the earth. Several methods have been proposed by various researchers for modelling rainfall data. This paper deals with the variations of annual rainfall in Tirunelveli based on stochastic method. The study is investigate the changes in rainfall model in present, past form the chronological rainfall chain used to calculate the rainfall amount for successive years in future using the stochastic model in the Tirunelveli district, Tamil Nadu. The data collected from the 24 rain fall station situated the study area for the period of 44 years among 1971 to 2015. Stochastic modelling method predicts the future rainfall in 2025. The main intention of the current study is to explain the make use of first order Markov chain modelling for annual basis of rainfall measurement of Tirunelveli District.

Data Mining becomes a vital aspect in data analysis. Study on data mining is very much depends on the performance of the clustering. Clustering before classification is termed as cluster Classifier. Recently knowledge based approached has become the key forces in data classification. Here performed a four way comparison of Logistic Regression (LR), Classification and Regression Trees (CART), Random Forest (RF) and Neural Network (NN) models using a continuous and categorical dependent variable for classification. A Customer relationship management (CRM) data set is used to run these models. Measurement of different classification accuracy methods are used to compare the performance of the models. Based on the efficient method actionable knowledge is derived from the proposed methodology.

Forecasting the trend of rainfall is a difficult task in meteorology and environmental sciences. Statistical approaches from time series analysis provide another way for rainfall prediction. The ARIMA model incorporating seasonal characteristics, which is devoted to as seasonal ARIMA model was presented. The time series data are the monthly rainfall data from 2006 to 2016. The model was denoted as SARIMA (1,1, 1) (0, 1, 1) 12 in this study. A serious problem in analyzing rainfall data is what to do when missing or extreme values occur, perhaps as a result of a breakdown in automatic counting equipment. We can analyze the stability and the correlation of the time series. The aim of this paper is to attempt look at ways of explaining this problem by using the residuals from a fitted SARIMA model. The most successful method in finding outliers and unique them from other events, being less expensive than case deletion. In our result, the model fitted the data well and the stochastic seasonal variation was successfully model. Seasonal ARIMA model was a proper method for modeling and forecasting the time series of monthly rainfall data.

The study was aimed to screen the presence of phytoconstituents and determine distinct in vitro medicinal traits of aqueous and ethanolic extracts of Solanum virginianum dried fruits. Aqueous and ethanolic extract showed total phenolic content of 207.5 ± 0.16 and 268.4 ± 0.42 GAE/mg, respectively. Likewise, total flavonoid content of 50.12 ± 0.39 and 192.88 ± 0.27 QE/mg was estimated for the aqueous and ethanolic extract, respectively. In vitro antibacterial, antioxidant, α-amylase inhibition, anti-inflammatory, and anticancer attributes of extracts were assessed using standard protocols. The antibacterial traits of both the extracts were assessed against certain pathogenic bacteria which exhibited maximum zone of inhibition of 22.3 ± 0.6 mm against Staphylococcus aureus. Antioxidant tests showed not only significant scavenging of DPPH, superoxide, hydroxyl, and ABTS●+ radicals but also estimated ferric reducing power and phosphomolybdenum reduction activities of extracts in a concentration dependent manner. The aqueous extract (54.12 ± 0.44–86.80 ± 0.27%) depicted higher rate of α-amylase inhibition than ethanolic extract (23.07 ± 0.47–81.61 ± 0.43%) at distinct concentrations. Similarly, the aqueous extract protected the haemolysis (46.19 ± 0.14–66.21 ± 0.17%) effectively as compared to the ethanolic extract (12.67 ± 0.19–38.03 ± 0.41%). The aqueous and ethanolic extract showed cytotoxicity against HepG2 cell lines in the range of 32.23 ± 0.34–54.82 ± 0.26% and 49.25 ± 0.38–73.2 ± 0.3%, respectively. Additionally, the GC–MS analysis confirmed the availability of total 15 predominant bioactive constituents in both extracts. Findings of this context indicated pronounced applications of S. virginianum fruits as future therapeutic.

Technical analysis is based on the assumption that the future price of a stock can be predicted from its history. Several technical trading systems exist for generating buy and sell signals in stock prices. Simple moving average crossovers are popular tools for trading. In this study, simple moving average crossovers with different periods are analyzed empirically on historical daily data of NIFTY 50 index. The profit and loss distribution in these trades are studied to identify profitable and stable crossover periods. The choppy price action known as whipsaws incur large number of small losses in the crossover based trading system. The phenomenon of rare trending price movements and its impact on the trading system are demonstrated.

Background: Linking genomic and real-world evidence (RWE) datasets has the potential to generate insights to inform clinical research or practice, including identifying biomarkers associated with treatment response. This study explored the feasibility of linking genomic and RWE data for melanoma patients within the UK 100,000 Genomes Project. Method(s): Anonymised whole-genome sequencing (WGS) data for patients with melanoma were linked, using unique identifiers, to corresponding records in RWE datasets maintained by the UK National Health Service and Public Health England (PHE). Examined characteristics included demographics, melanoma type and stage, and risk factors. The 20 most commonly mutated genes were determined for the categories of actionable genes, other cancer-related genes, and non-actionable and non-cancer-related genes. Treatment-related outcomes included time on treatment (to next line or death), and overall survival from the start of first line therapy. Result(s): A total of 337 melanoma patients with WGS data were identified and linked to RWE records. While demographic data (e.g. age, gender, and race) were widely available, melanoma risk factors (e.g. UV exposure) and disease characteristics (e.g. tumour stage) were often missing. Treatment outcomes were difficult to estimate due to availability and discordant cut-off dates across WGS, treatment, and death datasets (April 2020, December 2017, and November 2019, respectively). Almost all patients (97%) had at least one mutated non-actionable but cancer-related gene. The most commonly mutated actionable genes were BRAF (42% of patients) - particularly to BRAF-V600E (30%) - and NRAS (28%). Among other cancer-related genes, LRP1B and FAT4 were the most commonly mutated (40% and 37%). Conclusion(s): Substantial and valuable WGS data are available for patients with melanoma within the 100,000 Genomes Project, and genomic characteristics appear consistent with other cohorts. However, RWE linkage is challenging, particularly as PHE clinical data are less current than the corresponding WGS data. Current efforts to secure further sources and increase data release frequency will improve feasibility. Editorial acknowledgement: Adelphi Values PROVE. Legal entity responsible for the study: Merck & Co., Inc., Kenilworth, NJ, USA. Funding(s): Merck & Co., Inc., Kenilworth, NJ, USA. Disclosure: E. Scherrer S. Mt-Isa: Full/Part-time employment: MSD, UK; Shareholder/Stockholder/Stock options: Merck & Co., Inc., Kenilworth, NJ, USA. G.M. Hair: Full/Part-time employment: Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA. M. Pereira, G. Chan, P. Arumugam, M. Zarowiecki, K. Witkowska, T. Rahim: Full/Part-time employment: Genomics England. I. Shui: Full/Part-time employment: Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA. Shareholder/Stockholder/Stock options: Merck & Co., Inc., Kenilworth, NJ, USA; Shareholder/Stockholder/Stock options: Sanofi. S. Turajlic: Speaker Bureau/Expert testimony: Roche; Speaker Bureau/Expert testimony: AstraZeneca; Speaker Bureau/Expert testimony: Novartis; Speaker Bureau/Expert testimony: Ipsen. K.R. Litchfield: Speaker Bureau/Expert testimony: Roche Tissue Diagnostics. P. Lorigan: Advisory/Consultancy, Speaker Bureau/Expert testimony, Research grant/Funding (self), Research grant/Funding (institution), Travel/Accommodation/Expenses: Bristol-Myers Squibb; Advisory/Consultancy, Speaker Bureau/Expert testimony, Travel/Accommodation/Expenses: Merck Sharp & Dohme; Advisory/Consultancy, Speaker Bureau/Expert testimony: Pierre Fabre; Advisory/Consultancy, Speaker Bureau/Expert testimony: Novartis; Advisory/Consultancy, Speaker Bureau/Expert testimony: Amgen; Advisory/Consultancy, Speaker Bureau/Expert testimony: GlaxoSmithKline; Advisory/Consultancy, Speaker Bureau/Expert testimony: Roche; Advisory/Consultancy: Neracare/Melagenix. J. Larkin: Advisory/Consultancy, Research grant/Funding (institution): Bristol-Myers Squibb; Advisory/Consultancy, Research grant/Funding (institution): MSD; Research grant/Funding (institution): Roche; Advisory/Consultancy, Research grant/Funding (institution): Nektar Therapeutics; Research grant/Funding (institution): Covance; Research grant/Funding (institution): Immunocore; Research grant/Funding (institution): Pharmacyclics; Research grant/Funding (institution): Aveo; Advisory/Consultancy, Research grant/Funding (institution): Achilles Therapeutics; Advisory/Consultancy: AstraZeneca; Advisory/Consultancy: Boston Biomedical; Advisory/Consultancy: Eisai; Advisory/Consultancy: EUSA Pharma; Advisory/Consultancy: GlaxoSmithKline; Advisory/Consultancy: Ipsen; Advisory/Consultancy: Imugene; Advisory/Consultancy: Incyte; Advisory/Consultancy: iOnctura; Advisory/Consultancy: Kymab; Advisory/Consultancy: Merck Serono; Advisory/Consultancy: Novartis; Advisory/Consultancy: Pierre Fabre; Advisory/Consultancy, Research grant/Funding (institution): Pfizer; Advisory/Consultancy: Roche/Genentech; Advisory/Consultancy: Secarna; Advisory/Consultancy: Vitaccess.Copyright © 2020

Interior Intrusion Detection System (IIDS) is used to monitor the interior areas of radiological laboratories. Passive infra red sensor is used to monitor the intrusion of people. 16 Passive infra red sensors are connected to one controller. Two controllers are connected to server by LAN. IIDS monitors movement of people in interior areas, raises audible and visual alarm. This paper discusses the System Requirements, System Architecture, Hardware Design and Software aspects of Interior Intrusion Detection System.

Several experimental investigations have reported evidence of collective enhancement of the nuclear level density and its fadeout. However, a suitable method is needed for experimental determination of the enhancement factor as a function of excitation energy. In this study, neutron spectra were measured in coincidence with evaporated $\ensuremath{\alpha}$ particles produced in the reactions $^{11}\mathrm{B}+^{181}\mathrm{Ta},^{197}\mathrm{Au}$. The nuclear level density parameter has been extracted for the $\mathrm{Os}\phantom{\rule{0.16em}{0ex}}(A\ensuremath{\approx}188)$ and $\mathrm{Pb}\phantom{\rule{0.16em}{0ex}}(A\ensuremath{\approx}204)$ isotopes by comparing neutron spectra with statistical model prediction. Evidence for collective enhancement has been found for Os nuclei whereas no such enhancement has been seen for Pb nuclei. The energy-dependent enhancement factor has been extracted by simultaneous fitting of the neutron spectra at various excitation energies. Near a temperature of 0.8 MeV, the enhancement starts to fadeout which is lower than the theoretically predicted temperature of 1.4 MeV for $^{187}\mathrm{Os}$. Also, free energy surface calculation shows that the $^{187}\mathrm{Os}$ nucleus undergoes a transition from collective prolate to noncollective oblate shape close to the temperature of 0.8 MeV, corroborating the early fadeout. No such shape transition is seen for $^{203}\mathrm{Pb}$.

Nowadays, Radio Frequency IDentification (RFID) cum Biometric based Access Control System (ACS) is gaining popularity for authenticating the employees of any organization, which ensures that only the employees granted permission to get into the organizational complex. However, visitors from various organization need to be granted entry into the complex, without which organization does not function effectively as all the organization invariably depend on other organization/ companies/firms for their growth. Contrary to this, most of the terrorist attacks are accessed, planned and implemented through visitors. Thus it becomes highly essential to implement highly effective method/system to ensure the genuineness of visitors to any organization. One such system, namely Visitor Gate Pass Management System[VGPMS] is illustrated with its features.