The influence of psychosocial adjustment factors on team embeddedness at the workplace

The high prevalence of aggression, anxiety and stress symptoms among team members in the organisation, while acquisition of task is alarming causation of adjustment disorder influences on team embeddedness, is the subject of this study. The ontogenesis of psychosocial adjustment disorder in any employees is not palingenetic, this is exact reproduction of psychosocial factors (PSF) which develops at workplace The most important strategy for productivity improvement is based on the fact that human productivity, both positive and negative, is determined by the attitudes of all those who work in the enterprise and gap surfaced between teamwork and competence development particularly with regard to managing individualism within organisation and specifically individualistic approach, organisational justice, productivity management and psychosocial support. We strongly feel that there is a need to reexamine organisational team credentials and possible strong influences on individual’s psychosocial adjustment disorders. Findings suggest psychosocial adjustment factors are significantly correlated with psychosocial disorders (PSDs)

Cytotoxic Effects of Methylgerambullin and Bis(Methylthiomethyl)-Disulphide (SB) on T-Lymphoblastic Leukemic Cell Line (Cem-SS)

The cytotoxic effects of 2 sulphur-containing compounds were studied on Tlymphoblastic leukemic cell line. Methylgerambullin is believed to be a new sulphone derived from a methylthiopropenoic acid isolated from Glycosmis calcicola (family Rutaceae). Another sui phonic compound IS bis- (methylthiomethyl)-disulphide, an extract from Scorodocarpus borneensis (family Olacaceae) with irritating garlic-like odor. Cytotoxic activities of methylgerambullin and bis-(methylthiomethyl)-disulphide were tested against CEM-SS (T-Iymphoblastic leukaemia), KU812F (chronic myelogeneous leukaemia), UACC-62 (melanoma) and HT29 (colon cancer) cell lines using MTT, a colorimetric tetrazolium-based assay. Cytotoxic concentrations of the compounds that killed cells by 50% (CD50) with respect to untreated cell population, varied among the cell lines tested. CEM-SS was found to be the most sensitive cell line to methylgerambullin and bis-(methylthiomethyl)-disulphide with CD50 = 0.25 )µg/ml and 3.50 )µg/ml respectively. The cytotoxic effects exerted by both compounds on this cell line was studied from both morphological manner over 72 hours period. Microscopic observations, including inverted microscopy of live cultures, fluorescent microscopy of acridine orange-propidium iodide stained cultures, and scanning and transmission electron microscopy showed that both necrotic and apoptotic death occurred in meiliylgerambullinand bis-(methylthiomethyl)-disulphide-treated cell populations, based on morphological criteria. From agarose gel electrophoresis and quantitative analyses of intemucleosomal cleavage, treatments with these compounds at their respective CD50 doses did not yield random or multiple of 180-200 bp DNA fragmentation which often associated with necrotic and apoptotic deaths respectively. Such observation may simply owe to the fact that the percentage of apoptosis and necrosis events were fairly low as quantified after acridine orangepropidium iodide staining, or may also suggest the involvement of sulphur residue in methylgerambullin and bis-(methylthiomethyl)-disulphide which act as an antioxidant, thus protecting DNA degradation from occuring. Flow cytometric analyses based on annexin V-FITC (fluorescein isothiocynate) binding to the phosphatidylserines residue which was translocated from the inner to the outer leaflet of the plasma membrane showed that the onset of apoptosis in both methylgerambullin- and bis-(methylthiomethyl)-disulphide-treated population was at 6 hours exposure. Both methylgerambullin and bis-(methylthiomethyl)disulphide induced GO/G1 arrest up to 48 hours and 24 hours respectively followed by arrest in the subsequent S phase

Generating Permutations with Restricted Containers

We investigate a generalization of stacks that we call $\mathcal{C}$-machines. We show how this viewpoint rapidly leads to functional equations for the classes of permutations that $\mathcal{C}$-machines generate, and how these systems of functional equations can frequently be solved by either the kernel method or, much more easily, by guessing and checking. General results about the rationality, algebraicity, and the existence of Wilfian formulas for some classes generated by $\mathcal{C}$-machines are given. We also draw attention to some relatively small permutation classes which, although we can generate thousands of terms of their enumerations, seem to not have D-finite generating functions

Evaluation of Eleven Macro and Micro Elements Present in Various Hybrids of Millet (Pennisetum glaucum, or P. Americanum)

Maize and Millet Research Institute (MMRI) situated in Yousuf wala, District Sahiwal, Punjab, Pakistan was selected to grow nine different hybrids/cultivars of millet for study to comprehend the variable concentration of macro, micro and trace and toxic elements in their grains. Wet digestion method was used for the preparation of samples and flame atomic absorption spectrophotometer for analysis of eleven major and minor elements. High values of macro-elements i.e. sodium and potassium was found in ICMP-451 and magnesium in ICMP-53506. The high value of essential micro-elements i.e.zinc (50mg/kg), manganese (8mg/kg), and copper (8mg/kg) was calculated in ICMP-53506, Bullo-94-1, and ICMP-83720 respectively. In case of trace and toxic micro-elements, high concentration of nickel, cobalt, chromium and cadmium was found in O.B.V, Bullo-7704, ICMP-83401, and ICMP-83720 in the edible part of millet plants (grains) cultivars respectively

Application of machine learning to support self-management of asthma with mHealth

While there have been several efforts to use mHealth technologies to support asthma management, none so far offer personalised algorithms that can provide real-time feedback and tailored advice to patients based on their monitoring. This work employed a publicly available mHealth dataset, the Asthma Mobile Health Study (AMHS), and applied machine learning techniques to develop early warning algorithms to enhance asthma self-management. The AMHS consisted of longitudinal data from 5,875 patients, including 13,614 weekly surveys and 75,795 daily surveys. We applied several well-known supervised learning algorithms (classification) to differentiate stable and unstable periods and found that both logistic regression and naïve Bayes-based classifiers provided high accuracy (AUC > 0.87). We found features related to the use of quick-relief puffs, night symptoms, frequency of data entry, and day symptoms (in descending order of importance) as the most useful features to detect early evidence of loss of control. We found no additional value of using peak flow readings to improve population level early warning algorithms

Parallel analysis of ribonucleotide-dependent deletions produced by yeast Top1 in vitro and in vivo

Ribonucleotides are the most abundant non-canonical component of yeast genomic DNA and their persistence is associated with a distinctive mutation signature characterized by deletion of a single repeat unit from a short tandem repeat. These deletion events are dependent on DNA topoisomerase I (Top1) and are initiated by Top1 incision at the relevant ribonucleotide 3′-phosphodiester. A requirement for the re-ligation activity of Top1 led us to propose a sequential cleavage model for Top1-dependent mutagenesis at ribonucleotides. Here, we test key features of this model via parallel in vitro and in vivo analyses. We find that the distance between two Top1 cleavage sites determines the deletion size and that this distance is inversely related to the deletion frequency. Following the creation of a gap by two Top1 cleavage events, the tandem repeat provides complementarity that promotes realignment to a nick and subsequent Top1-mediated ligation. Complementarity downstream of the gap promotes deletion formation more effectively than does complementarity upstream of the gap, consistent with constraints to realignment of the strand to which Top1 is covalently bound. Our data fortify sequential Top1 cleavage as the mechanism for ribonucleotide-dependent deletions and provide new insight into the component steps of this process