Analysis of the Maintenance and Depreciation Costs and other Requirements of Selected Government Hospitals

To a large extent, planning and budgeting in government hospitals are still carried out in an unsystematic, nonstrategic manner that goes against the thrust of current reforms. Historic budgeting proves to be inadequate in responding to the real needs of hospitals, especially in terms of maintaining its capital assets. The lack of clear guidelines and protocols on prioritization and budget decisions render the process vulnerable to subjective influences.This paper provides information on the appropriate capital management and investments in maintaining and upgrading equipment and capital plant by analyzing the budgeting practices, maintenance and depreciation costs, and requirements of public hospitals

PLANEACIÓN DIDÁCTICA GENERAL DE LA ASIGNATURA: ECONOMÍA

GUÍA DIDÁCTICA / PLANEACIÓN DIDÁCTICA (NMS

Non-equilibrium relaxation and interface energy of the Ising model

{}From the non-equilibrium critical relaxation study of the two-dimensional Ising model, the dynamical critical exponent $z$ is estimated to be $2.165 \pm 0.010$ for this model. The relaxation in the ordered phase of this model is consistent with $\exp (-\sqrt{t/\tau })$ behavior. The interface energy of the three-dimensional Ising model is studied and the critical exponent of the correlation length $\nu$ and the critical amplitude of the surface tension $\sigma_0$ are estimated to be $0.6250\pm 0.025$ and $1.42\pm 0.04$, respectively. A dynamic Monte Carlo renormalization group method is applied to the equilibrium properties of the three-dimensional Ising model successfully.Comment: 32pages( 15 figures are not included. Their Postscript file is available. Request the author directly. ), LaTe

New Dynamic Monte Carlo Renormalization Group Method

The dynamical critical exponent of the two-dimensional spin-flip Ising model is evaluated by a Monte Carlo renormalization group method involving a transformation in time. The results agree very well with a finite-size scaling analysis performed on the same data. The value of $z = 2.13 \pm 0.01$ is obtained, which is consistent with most recent estimates

Drosophila Neurotrophins Reveal a Common Mechanism for Nervous System Formation

Neurotrophic interactions occur in Drosophila, but to date, no neurotrophic factor had been found. Neurotrophins are the main vertebrate secreted signalling molecules that link nervous system structure and function: they regulate neuronal survival, targeting, synaptic plasticity, memory and cognition. We have identified a neurotrophic factor in flies, Drosophila Neurotrophin (DNT1), structurally related to all known neurotrophins and highly conserved in insects.By investigating with genetics the consequences of removing DNT1 or adding it in excess, we show that DNT1 maintains neuronal survival, as more neurons die in DNT1 mutants and expression of DNT1 rescues naturally occurring cell death, and it enables targeting by motor neurons. We show that Spa¨ tzle and a further fly neurotrophin superfamily member, DNT2, also have neurotrophic functions in flies. Our findings imply that most likely a neurotrophin was present in the common ancestor of all bilateral organisms, giving rise to invertebrate and vertebrate neurotrophins through gene or whole-genome duplications. This work provides a missing link between aspects of neuronal function in flies and vertebrates, and it opens the opportunity to use Drosophila to investigate further aspects of neurotrophin function and to model related diseases

Nonequilibrium relaxation of the two-dimensional Ising model: Series-expansion and Monte Carlo studies

We study the critical relaxation of the two-dimensional Ising model from a fully ordered configuration by series expansion in time t and by Monte Carlo simulation. Both the magnetization (m) and energy series are obtained up to 12-th order. An accurate estimate from series analysis for the dynamical critical exponent z is difficult but compatible with 2.2. We also use Monte Carlo simulation to determine an effective exponent, z_eff(t) = - {1/8} d ln t /d ln m, directly from a ratio of three-spin correlation to m. Extrapolation to t = infinity leads to an estimate z = 2.169 +/- 0.003.Comment: 9 pages including 2 figure

Assessment of the Capability of Hog Raisers’ Cooperatives as Conduits of Agricultural Loans in Laguna, Philippines

In view of the importance of credit to agriculture and rural development, it is the objective of this paper to provide an assessment of the capability of hog raisers’ cooperatives as conduits of agricultural loans in Laguna. To attain this objective, the analytical methods namely, (1) Standard Performance Rating Approach, and (2) Pearson and Spearman correlation were employed. The primary data was generated from nine hog raisers’ cooperatives from Laguna. Data from secondary sources was also obtained to further assess the capability of the subject cooperatives from the Cooperative Development Authority Regional Office and hog raisers’ cooperatives. The results of the analyses showed that one out nine cooperatives had a rating of Very Satisfactory, while three and four of them had attained Satisfactory and Fair performance rating, respectively. Only one cooperative had an adjectival rating of Needs Improvement. It is established that the capability of the cooperative as conduit of credit is dependent on its member-borrowers. The result of the correlation analysis revealed that the cooperative’s financial capability indicators namely, assets, profitability, operational strength, solvency, and net institutional capital were correlated with the capability of its member-borrowers to make timely payments. Only net institutional capital had negative association with the member-borrowers’ capability in making timely payments. Thus, the cooperatives are still viable conduits of credit as long as the capability of the member-borrowers is enhanced. This, in effect, led to higher profitability and financial sustainability among hog raisers’ cooperative in Laguna. With this, the study recommended that government should devise and implement a sound credit and technical assistance program that will benefit the hog raisers’ cooperatives. If possible, they should provide training and assistance to enhance cooperatives’ loan absorptive capacity as conduit of credit

Autism as a disorder of neural information processing: directions for research and targets for therapy

The broad variation in phenotypes and severities within autism spectrum disorders suggests the involvement of multiple predisposing factors, interacting in complex ways with normal developmental courses and gradients. Identification of these factors, and the common developmental path into which theyfeed, is hampered bythe large degrees of convergence from causal factors to altered brain development, and divergence from abnormal brain development into altered cognition and behaviour. Genetic, neurochemical, neuroimaging and behavioural findings on autism, as well as studies of normal development and of genetic syndromes that share symptoms with autism, offer hypotheses as to the nature of causal factors and their possible effects on the structure and dynamics of neural systems. Such alterations in neural properties may in turn perturb activity-dependent development, giving rise to a complex behavioural syndrome many steps removed from the root causes. Animal models based on genetic, neurochemical, neurophysiological, and behavioural manipulations offer the possibility of exploring these developmental processes in detail, as do human studies addressing endophenotypes beyond the diagnosis itself

TRY plant trait database - enhanced coverage and open access

Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

Short-term heart rate variability in resting conditions: methodological considerations

Low values on heart rate variability (HRV) derived parameters at resting have been used to predict cardiovascular diseases (CVD) and mortality. In this regard, short-term HRV recordings (usually from 5 to 15 minutes) are increasing their popularity because data acquisition can be performed under more controlled conditions than long-term recordings (e.g., 24 hours). However, different methodological aspects before, during, and after the HRV assessment could affect the quantification and the clinical interpretations of the HRV-derived parameters, as well as hamper comparisons across different studies. In the present study, we summarize these methodological aspects that should be considered in both the research and the clinical settings. These are: (1) the validity and reproducibility of the device used to assess the HRV; (2) the influence of the software used to perform the artefact correction; (3) previous conditions before the testing day; (4) establishing the proper conditions during the HRV assessment (e.g., controlled respiratory frequency); (5) after assessing the HRV, considering the “best” data selection and statistical analysis approach; and (6) the role of the heart rate on the associations between the different CVD risk factors outcomes (e.g., cardiorespiratory fitness) and the HRV-derived parameters