Effect of Understanding Financial Management, Regional Financial Accounting Systems, Effectiveness of Internal Control, and Commitment Towards Financial Performance of North Sulawesi Province

This study aims to determine, the effect of understanding financial management, regional financial accounting system, effectiveness of internal control and organizational commitment towards financial performance of region and city governments in the province of North Sulawesi. The type of this research is quantitative. The population are all Regional Work Unit (SKPD) government financial managers of North Sulawesi, the respondents are 125 respondents as financial managers namely PPK-SKPD, Head of Finance and Financial Staffs. The Data method is using questionnaires and the analysis is using multiple regression analysis. The result shows that the understanding of financial management and effectiveness of internal control have a significant effect to the financial performance, while the regional financial accounting system and organizational commitment are not significant

Evaluasi Sistem dan Prosedur Belanja Modal di Dinas Kesehatan Kota Manado

Indonesia adalah Negara Pemerintahan yang mengatur jalannya perkembangan ekonomi di Indonesia. Good governance merupakan agenda pokok reformasi yang diharapkan dapat secara konsisten oleh pemerintah daerah, akuntabilitas yang baik disertai tranparansi dan keterbukaan mengontrol untuk memperbaiki sistem dan prosedur pemerintah daerah. Belanja modal merupakan kegiatan pemerintah yang meningkatkan kinerja instansi agar mencapai tujuan yang diharapkan yaitu penyerapan anggaran yang efektif melalui Belanja Modal Pengadaan Barang dan Jasa. Peraturan Menteri Dalam Negeri No.64 Tahun 2013 dan Peraturan Pemerintah No.71 Tahun 2010 menjadi pedoman bagi setiap instansi pemerintah yang menjadi pelaksana pengadaan barang/jasa pemerintah dan pengguna barang dan jasa. Penelitian saat ini bertujuan untuk mengetahui Apakah Sistem dan Prosedur Belanja Modal pada Dinas Kesehatan Kota Manado yang diterapkan sudah Efektiv. Metode yang digunakan dalam penelitian ini adalah metode analisis deskriptif. Hasil penelitian menunjukkan, bahwa sistem dan prosedur Belanja Modal pada Dinas Kesehatan Kota Manado sudah sesuai dengan peraturan Perundang-undangan yang berlaku dan telah terencana dengan baik sesuai dengan Peraturan Pemerintah yang telah ditetapkan. Kiranya Dinas Kesehatan Kota Manado, pada tahun anggaran 2018 dan selanjutnya dalam Sistem dan Prosedur Belanja Modal pengadaan barang/jasa berpedoman pada peraturan pemerintah yang berlaku

A practical, bioinformatic workflow system for large data sets generated by next-generation sequencing

Transcriptomics (at the level of single cells, tissues and/or whole organisms) underpins many fields of biomedical science, from understanding the basic cellular function in model organisms, to the elucidation of the biological events that govern the development and progression of human diseases, and the exploration of the mechanisms of survival, drug-resistance and virulence of pathogens. Next-generation sequencing (NGS) technologies are contributing to a massive expansion of transcriptomics in all fields and are reducing the cost, time and performance barriers presented by conventional approaches. However, bioinformatic tools for the analysis of the sequence data sets produced by these technologies can be daunting to researchers with limited or no expertise in bioinformatics. Here, we constructed a semi-automated, bioinformatic workflow system, and critically evaluated it for the analysis and annotation of large-scale sequence data sets generated by NGS. We demonstrated its utility for the exploration of differences in the transcriptomes among various stages and both sexes of an economically important parasitic worm (Oesophagostomum dentatum) as well as the prediction and prioritization of essential molecules (including GTPases, protein kinases and phosphatases) as novel drug target candidates. This workflow system provides a practical tool for the assembly, annotation and analysis of NGS data sets, also to researchers with a limited bioinformatic expertise. The custom-written Perl, Python and Unix shell computer scripts used can be readily modified or adapted to suit many different applications. This system is now utilized routinely for the analysis of data sets from pathogens of major socio-economic importance and can, in principle, be applied to transcriptomics data sets from any organism

A practical, bioinformatic workflow system for large data sets generated by next-generation sequencing

Transcriptomics (at the level of single cells, tissues and/or whole organisms) underpins many fields of biomedical science, from understanding the basic cellular function in model organisms, to the elucidation of the biological events that govern the development and progression of human diseases, and the exploration of the mechanisms of survival, drug-resistance and virulence of pathogens. Next-generation sequencing (NGS) technologies are contributing to a massive expansion of transcriptomics in all fields and are reducing the cost, time and performance barriers presented by conventional approaches. However, bioinformatic tools for the analysis of the sequence data sets produced by these technologies can be daunting to researchers with limited or no expertise in bioinformatics. Here, we constructed a semi-automated, bioinformatic workflow system, and critically evaluated it for the analysis and annotation of large-scale sequence data sets generated by NGS. We demonstrated its utility for the exploration of differences in the transcriptomes among various stages and both sexes of an economically important parasitic worm (Oesophagostomum dentatum) as well as the prediction and prioritization of essential molecules (including GTPases, protein kinases and phosphatases) as novel drug target candidates. This workflow system provides a practical tool for the assembly, annotation and analysis of NGS data sets, also to researchers with a limited bioinformatic expertise. The custom-written Perl, Python and Unix shell computer scripts used can be readily modified or adapted to suit many different applications. This system is now utilized routinely for the analysis of data sets from pathogens of major socio-economic importance and can, in principle, be applied to transcriptomics data sets from any organism

Genomic-Bioinformatic Analysis of Transcripts Enriched in the Third-Stage Larva of the Parasitic Nematode Ascaris suum

Differential transcription in Ascaris suum was investigated using a genomic-bioinformatic approach. A cDNA archive enriched for molecules in the infective third-stage larva (L3) of A. suum was constructed by suppressive-subtractive hybridization (SSH), and a subset of cDNAs from 3075 clones subjected to microarray analysis using cDNA probes derived from RNA from different developmental stages of A. suum. The cDNAs (n = 498) shown by microarray analysis to be enriched in the L3 were sequenced and subjected to bioinformatic analyses using a semi-automated pipeline (ESTExplorer). Using gene ontology (GO), 235 of these molecules were assigned to ‘biological process’ (n = 68), ‘cellular component’ (n = 50), or ‘molecular function’ (n = 117). Of the 91 clusters assembled, 56 molecules (61.5%) had homologues/orthologues in the free-living nematodes Caenorhabditis elegans and C. briggsae and/or other organisms, whereas 35 (38.5%) had no significant similarity to any sequences available in current gene databases. Transcripts encoding protein kinases, protein phosphatases (and their precursors), and enolases were abundantly represented in the L3 of A. suum, as were molecules involved in cellular processes, such as ubiquitination and proteasome function, gene transcription, protein–protein interactions, and function. In silico analyses inferred the C. elegans orthologues/homologues (n = 50) to be involved in apoptosis and insulin signaling (2%), ATP synthesis (2%), carbon metabolism (6%), fatty acid biosynthesis (2%), gap junction (2%), glucose metabolism (6%), or porphyrin metabolism (2%), although 34 (68%) of them could not be mapped to a specific metabolic pathway. Small numbers of these 50 molecules were predicted to be secreted (10%), anchored (2%), and/or transmembrane (12%) proteins. Functionally, 17 (34%) of them were predicted to be associated with (non-wild-type) RNAi phenotypes in C. elegans, the majority being embryonic lethality (Emb) (13 types; 58.8%), larval arrest (Lva) (23.5%) and larval lethality (Lvl) (47%). A genetic interaction network was predicted for these 17 C. elegans orthologues, revealing highly significant interactions for nine molecules associated with embryonic and larval development (66.9%), information storage and processing (5.1%), cellular processing and signaling (15.2%), metabolism (6.1%), and unknown function (6.7%). The potential roles of these molecules in development are discussed in relation to the known roles of their homologues/orthologues in C. elegans and some other nematodes. The results of the present study provide a basis for future functional genomic studies to elucidate molecular aspects governing larval developmental processes in A. suum and/or the transition to parasitism

Positive psychology of Malaysian students: impacts of engagement, motivation, self-compassion and wellbeing on mental health

Malaysia plays a key role in education of the Asia Pacific, expanding its scholarly output rapidly. However, mental health of Malaysian students is challenging, and their help-seeking is low because of stigma. This study explored the relationships between mental health and positive psychological constructs (academic engagement, motivation, self-compassion, and wellbeing), and evaluated the relative contribution of each positive psychological construct to mental health in Malaysian students. An opportunity sample of 153 students completed the measures regarding these constructs. Correlation, regression, and mediation analyses were conducted. Engagement, amotivation, self-compassion, and wellbeing were associated with, and predicted large variance in mental health. Self-compassion was the strongest independent predictor of mental health among all the positive psychological constructs. Findings can imply the strong links between mental health and positive psychology, especially selfcompassion. Moreover, intervention studies to examine the effects of self-compassion training on mental health of Malaysian students appear to be warranted.N/

The financing need for expanding paid maternity leave to support breastfeeding in the informal sector in the Philippines

In low- and middle-income countries, almost three-fourths of women in the labour force lack maternity protection. In the Philippines, current laws do not guarantee paid maternity leave to workers in the informal economy. A non-contributory maternity cash transfer to informal sector workers could be used to promote social equity and economic productivity and could provide health benefits by helping mothers meet their breastfeeding goals. The objective of the study is to provide a realistic cost estimate and to assess the financial feasibility of implementing a publicly financed, non-contributory maternity cash transfer programme to the informal sector in the Philippines. Using a costing framework developed in Mexico, the study estimated the annual cost of a maternity cash transfer programme. The methodology estimated the unit cost of the programme, the incremental coverage of maternity leave and expected number of enrollees. Different unit and incremental costs assumptions were used to provide a range of scenarios. Administrative costs for running the programme were included in the analysis. The annual financing need of implementing maternity cash transfer programme in the Philippines ranges from a minimum scenario of USD42 million (14-week maternity cash transfer) to a more ideal scenario of USD309 million (26-week maternity cash transfer). The latter is financially feasible as it is equivalent to less than 0.1% of the country\u27s gross domestic product substantially lower than the share cost of not breastfeeding (0.7%). The annual cost of the programme is only 10% of the total cost of the largest conditional cash transfer programme

Insights into SCP/TAPS Proteins of Liver Flukes Based on Large-Scale Bioinformatic Analyses of Sequence Datasets

Background: SCP/TAPS proteins of parasitic helminths have been proposed to play key roles in fundamental biological processes linked to the invasion of and establishment in their mammalian host animals, such as the transition from free-living to parasitic stages and the modulation of host immune responses. Despite the evidence that SCP/TAPS proteins of parasitic nematodes are involved in host-parasite interactions, there is a paucity of information on this protein family for parasitic trematodes of socio-economic importance.\ud \ud Methodology/Principal Findings: We conducted the first large-scale study of SCP/TAPS proteins of a range of parasitic trematodes of both human and veterinary importance (including the liver flukes Clonorchis sinensis, Opisthorchis viverrini, Fasciola hepatica and F. gigantica as well as the blood flukes Schistosoma mansoni, S. japonicum and S. haematobium). We mined all current transcriptomic and/or genomic sequence datasets from public databases, predicted secondary structures of full-length protein sequences, undertook systematic phylogenetic analyses and investigated the differential transcription of SCP/TAPS genes in O. viverrini and F. hepatica, with an emphasis on those that are up-regulated in the developmental stages infecting the mammalian host.\ud \ud Conclusions: This work, which sheds new light on SCP/TAPS proteins, guides future structural and functional explorations of key SCP/TAPS molecules associated with diseases caused by flatworms. Future fundamental investigations of these molecules in parasites and the integration of structural and functional data could lead to new approaches for the control of parasitic diseases

Massively Parallel Sequencing and Analysis of the Necator americanus Transcriptome

The blood-feeding hookworm Necator americanus infects hundreds of millions of people. To elucidate fundamental molecular biological aspects of this hookworm, the transcriptome of adult Necator americanus was studied using next-generation sequencing and in silico analyses. Contigs (n = 19,997) were assembled from the sequence data; 6,771 of them had known orthologues in the free-living nematode Caenorhabditis elegans, and most encoded proteins with WD40 repeats (10.6%), proteinase inhibitors (7.8%) or calcium-binding EF-hand proteins (6.7%). Bioinformatic analyses inferred that C. elegans homologues are involved mainly in biological pathways linked to ribosome biogenesis (70%), oxidative phosphorylation (63%) and/or proteases (60%). Comparative analyses of the transcriptomes of N. americanus and the canine hookworm, Ancylostoma caninum, revealed qualitative and quantitative differences. Essential molecules were predicted using a combination of orthology mapping and functional data available for C. elegans. Further analyses allowed the prioritization of 18 predicted drug targets which did not have human homologues. These candidate targets were inferred to be linked to mitochondrial metabolism or amino acid synthesis. This investigation provides detailed insights into the transcriptome of the adult stage of N. americanus