Embedded Identities and Dialogic Consensus: Educational implications from the communitarian theory of Bhikhu Parekh

In this article the author will investigate the extent to which Bhikhu Parekh believes that a person's cultural/religious background must be preserved and whether, by implication, religious schooling is justified by his theory. His discussion will explore—by inference and implication—whether Parekh's carefully crafted multiculturalism, enriched and illuminated by numerous practical insights, is socially tenable. The author will also consider whether, by extension, it is justifiable, on his line of reasoning, to cultivate cultural and religious understandings among one's own children. Finally, the author will contend that Parekh, notwithstanding his cautious, even‐handed approach, commits several important errors, including conflating the culture of the parents with that of the children and insisting that cultural and religious persons ought to be allowed to defend their views in the public square on religious grounds

Risk, Harm and Intervention: the case of child obesity

In this paper we aim to demonstrate the enormous ethical complexity that is prevalent in child obesity cases. This complexity, we argue, favors a cautious approach. Against those perhaps inclined to blame neglectful parents, we argue that laying the blame for child obesity at the feet of parents is simplistic once the broader context is taken into account. We also show that parents not only enjoy important relational prerogatives worth defending, but that children, too, are beneficiaries of that relationship in ways difficult to match elsewhere. Finally, against the backdrop of growing public concern and pressure to intervene earlier in the life cycle, we examine the perhaps unintended stigmatizing effects that labeling and intervention can have and consider a number of risks and potential harms occasioned by state interventions in these cases

PENGARUH LIKUIDITAS, PERPUTARAN PERSEDIAAN, PENJUALAN TERHADAP PROFITABILITAS PADA PT.OTO MULTIARTHA PERIODE 2014-2017

Penelitian ini bertujuan untuk meneliti pengaruh likuiditas, perputaran persediaan, dan penjualan terhadap profitabilitas pada PT. Oto Multiartha periode 2014-2017. Metode penelitian yang digunakan dalam penelitian ini adalah metode pendekatan kuantitatif, jenis penelitian ini adalah penelitian deskriptif kuantitatif yang bersifat deduktif. Populasi yang digunakan dalam penelitian ini adalah data laporan keuangan bulanan PT. Oto Multiartha pada tahun 2014–2017 dengan sampel sebanyak 48 data. Metode analisis data dalam penelitian ini adalah regresi linier berganda dan uji asumsi klasik. Kesimpulan dari hasil penelitian ini menunjukkan secara simultan likuiditas, perputaran persediaan dan penjualan berpengaruh signifikan terhadap profitabilitas pada PT. Oto Multiartha periode 2014-2017 dengan hasil Fhitung = 5,971 > = Ftabel 2,82. Secara parsial likuiditas berpengaruh negatif dan signifikan terhadap profitabilitas dengan nilai -thitung < -ttabel atau -3,157 < -2,01537, perputaran persediaan tidak berpengaruh dan tidak signifikan terhadap profitabilitas dengan nilai thitung = 0,484  < ttable = 2,01537,  penjualan berpengaruh positif dan signifikan terhadap profitabilitas dengan nilai thitung = 2,070 > ttable = 2,01537. Hasil analisis koefisien determinasi diperoleh dari nilai Adjusted R Square sebesar 0,241 artinya 24,1% dari variasi variabel profitabilitas yang dapat dijelaskan oleh variabel independen likuiditas, perputaran persediaan dan penjualan sedangkan sisanya 75,9% dijelaskan oleh variabel bebas lainnya

Analisa Perbandingan Algoritma K-Means Dan Fuzzy C-Means(Studi Kasus:Topik Skripsi Sistem Informasi)

The performance of each algorithm is very important, as well as the selection of a thesis topic for students final year. Clustering is a grouping of data without specific data based on the class. Clustering can be used to label the data class is not yet known. The method used is the CRISP-DM which through understanding of business processes, understanding the data, the data preparation, modeling, evaluation and deployment. The algorithm used for the formation of clusters is a K-Means algorithm and Fuzzy C-Means. K-Means and Fuzzy C-Means is one of data method non-hierarchical clustering.RapidMiner 7.0 is using the research to aid clustering of attributes used are the academic year, sex and thesis topic. The result this research is efficiency based on time. The result are used as a feedback in the use of an algorithm to study the case further

Ministry

In lieu of an abstract, below is the essay\u27s first paragraph. He shouted Hi! over the music, extending his hand to the young man getting into the car

Beyond the trial: A systematic review of real-world uptake and engagement with digital self-help interventions for depression, low mood, or anxiety

Background: Digital self-help interventions (including online or computerized programs and apps) for common mental health issues have been shown to be appealing, engaging, and efficacious in randomized controlled trials. They show potential for improving access to therapy and improving population mental health. However, their use in the real world, that is, as implemented (disseminated) outside of research settings, may differ from that reported in trials, and implementation data are seldom reported. Objective: We aimed to review peer-reviewed articles reporting user uptake and/or ongoing use, retention, or completion data (hereafter ‘usage data’ or, for brevity, ‘engagement’) from implemented pure self-help (unguided) digital interventions for depression, anxiety, or the enhancement of mood. Methods: We conducted a systematic search of the Scopus, Embase, MEDLINE, and PsychINFO databases for studies reporting user uptake and/or usage data from implemented digital self-help interventions for the treatment or prevention of depression or anxiety, or the enhancement of mood, from 2002 to 2017. Additionally, we screened the reference lists of included articles, citations of these articles, and the titles of articles published in Internet Interventions, Journal of Medical Internet Research (JMIR), and JMIR Mental Health since their inception. We extracted data indicating the number of registrations or downloads and usage of interventions. Results: After the removal of duplicates, 970 papers were identified, of which ten met the inclusion criteria. Hand-searching identified one additional article. The included articles reported on seven publically available interventions. There was little consistency in the measures reported. The number of registrants or downloads ranged widely, from eight to over 40,000 per month. From 21% to 88% of users engaged in at least minimal use (e.g. used the intervention at least once or completed one module or assessment), while 7–42% engaged in moderate use (completing between 40% and 60% of modular fixed-length programs or continuing to use apps after four weeks). Indications of completion or sustained use (completion of all modules or the last assessment or continuing to use apps after six weeks or more) varied from 0.5% to 28.6%. Conclusions: Available data suggest that uptake and engagement vary widely among the handful of implemented digital self-help apps and programs which have reported this, and that usage may vary from that reported in trials. Implementation data should be routinely gathered and reported to facilitate improved uptake and engagement, arguably among the major challenges in digital health

The use of the LANDSAT data collection system and imagery in reservoir management and operation

The author has identified the following significant results. An increase in the data collection system's (DCS) ability to function in the flood control mission with no additional manpower was demonstrated during the storms which struck New England during April and May of 1975 and August 1976. It was found that for this watershed, creditable flood hydrographs could be generated from DCS data. It was concluded that an ideal DCS for reservoir regulation would draw features from LANDSAT and GOES. MSS grayscale computer printout and a USGS topographic map were compared, yielding an optimum computer classification map of the wetland areas of the Merrimack River estuary. A classification accuracy of 75% was obtained for the wetlands unit, taking into account the misclassified and the unclassified pixels. The MSS band 7 grayscale printouts of the Franklin Falls reservoir showed good agreement to USGS topographic maps in total area of water depicted at the low water reservoir stage and at the maximum inundation level. Preliminary analysis of the LANDSAT digital data using the GISS computer algorithms showed that the radiance of snow cover/vegetation varied from approximately 20 mW/sq cm sr in nonvegetated areas to less than 4 mW/sq cm sr for densely covered forested area

Pengaruh Kepuasan Kerja Terhadap Komitmen Organisasional Yang Dimediasi Oleh Identifikasi Organisasional

This research examines the affects of job satisfaction toward organizational commitment which is mediated by organizational identification. The respondents of this research are 61 of 67 Maranatha Christian University’s teachers of Economy and Psychology Faculty. Validity, reliability, and fitness model examination are conducted before the hypotheses testing. Eight hypotheses are partially proposed that using linier reggression analysis. The results of this study show that five hypotheses are supported. In other word, intrinsic and extrinsic job satisfaction has positively affected toward organizational identification and affective organizational commitment, and organizational identification has positively affected toward affective organizational commitment. The implications of these findings were discussed and suggestions for the future research were advanced

Dear Mr. President

A letter expressing warm regards on the eve of the ambassador's departure

The ‘Ombuds Watchers’: Collective Dissent and Legal Protest Among Users of Public Services Ombuds

This article examines the phenomenon of the ‘ombuds watchers’. These are groups of dissatisfied users of public service ombuds schemes who engage in legal protest against the current system of redress for citizen-state complaints. Through the lens of legal consciousness scholarship we propose a framework that conceptualizes the collectivized protest of the ombuds watchers. Based on an empirical dataset, our analysis has shown that the ombuds watchers meet each of the defining characteristics of dissenting collectivism and demonstrates the existence of forms of legal consciousness which present ‘opportunities to build alternative imaginaries and institutions’ (Morgan and Kutch 2015, p. 567). Our case study provides an insight into the potential for dissenting collectives to challenge the hegemonic structures of state law, while at the same time emphasising the continuing power of legal ideology in shaping popular understandings of justice. The article also suggests a pathway for future empirical research into ombuds