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1. |
Record Nr. |
UNINA990006650510403321 |
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Autore |
Lillich, Richard B. <1933- > |
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Titolo |
The human rights of aliens in contemporary international Law / Richard B. Lillich |
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Pubbl/distr/stampa |
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Manchester, : Manchester Univ. Press., 1984 |
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Descrizione fisica |
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Collana |
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The Melland Schill monographs in international Law |
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Disciplina |
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Locazione |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910131523003321 |
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Autore |
Nikolov Marjan |
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Titolo |
Cost efficiency of municipalities in service delivery : does ethnic fragmentation matter? / / Marjan Nikolov |
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Pubbl/distr/stampa |
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Institute for Local Self-Government and Public Procurement Maribor, 2013 |
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Maribor, Slovenia : , : Institute for Local Self Government and Public Procurement, , 2013 |
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ISBN |
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Descrizione fisica |
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1 online resource (180 pages) : illustrations, charts; digital, PDF file(s) |
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Collana |
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Intergovernmental fiscal relations |
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Soggetti |
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Industrial Management |
Management |
Business & Economics |
Public administration - North Macedonia |
North Macedonia Ethnic relations |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Macedonia and the transition --Theoretical consideration of decentralisation --Federalism and decentralisation in Macedonia --Measuring municipal efficiency in Macedonia. |
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Sommario/riassunto |
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Driven by the Ohrid Framework Agreement (OFA), decentralisation in Macedonia is a policy choice for spurring national cohesion rather than an economic instrument for the more efficient delivery of services. The OFA resulted in a new Macedonian Constitution with policies related to the decentralisation process and equitable representation of communities. This book aims first to estimate the spending efficiency of Macedonian municipalities in service delivery from their own resources and, second, to ascertain the determinants of that efficiency. The ethnic fragmentation of municipalities is taken into account as a possible determinant of efficiency, which represents a novelty in such types of studies. We employ the DEA-VRS, Kernel and SFA estimation techniques to control for the robustness of our estimates. Our findings show that on average Macedonian municipalities exhibit low efficiency |
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in service delivery, although there are significant variations among municipalities. The ethnic fragmentation of municipalities together with the population density, own tax revenues and political affiliation of the mayor with the leading political coalition at the state level explain differences in their efficiencies. More fragmented municipalities tend to be less efficient when providing services to citizens. |
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3. |
Record Nr. |
UNINA9910566465403321 |
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Autore |
Altaf-Ul-Amin Md |
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Titolo |
Recent Trends in Computational Research on Diseases |
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Pubbl/distr/stampa |
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
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Descrizione fisica |
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1 online resource (130 p.) |
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Soggetti |
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History of engineering & technology |
Technology: general issues |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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Recent advances in information technology have brought forth a paradigm shift in science, especially in the biology and medical fields. Statistical methodologies based on high-performance computing and big data analysis are now indispensable for the qualitative and quantitative understanding of experimental results. In fact, the last few decades have witnessed drastic improvements in high-throughput experiments in health science, for example, mass spectrometry, DNA microarray, next generation sequencing, etc. Those methods have been providing massive data involving four major branches of omics (genomics, transcriptomics, proteomics, and metabolomics). Information about amino acid sequences, protein structures, and molecular structures are fundamental data for the prediction of bioactivity of chemical compounds when screening drugs. On the other hand, cell imaging, clinical imaging, and personal healthcare devices |
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are also providing important data concerning the human body and disease. In parallel, various methods of mathematical modelling such as machine learning have developed rapidly. All of these types of data can be utilized in computational approaches to understand disease mechanisms, diagnosis, prognosis, drug discovery, drug repositioning, disease biomarkers, driver mutations, copy number variations, disease pathways, and much more. In this Special Issue, we have published 8 excellent papers dedicated to a variety of computational problems in the biomedical field from the genomic level to the whole-person physiological level. |
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