List Of Classes Research Articles

Preliminary Findings From A Stealth Physical Activity Intervention Targeting Inactive Dog Owners

Given that 60 million American households own at least one dog, there is growing interest in promoting dog walking to increase physical activity at the population level. An estimated 40% of dog owners do not walk the dog regularly, providing a large target population for intervention. Dog obedience training could plausibly serve as a stealth physical activity intervention as it aims to strengthen the dog-owner bond, a construct strongly associated with dog walking behavior. PURPOSE: To examine changes in dog owners’ self-reported dog walking behavior and device-measured moderate-to-vigorous physical activity (MVPA) after completing basic obedience training. METHODS: Forty-one healthy but inactive individuals (85% female; mean age=40) who reported walking their dog ≤3 d/wk were randomized to a 6-week basic obedience training class (INT; n=21) or wait list control group (CON; n=20). Participants recorded all dog walking bouts and wore an Actigraph GT3X+ on their right hip for 7d at baseline and 6-weeks. T-tests assessed group differences in self-reported dog walking and device-measured MVPA change scores. RESULTS: At baseline, participants reported 48.5±62.7 min/wk of dog walking and averaged 22.0±14.0 min/d of MVPA. Intervention participants that completed post-program assessments (n=17) attended an average 5.6 of 6 training classes. Preliminary analyses of n=31 participants (n=13 INT) with valid Actigraph data (≥4d with ≥8hrs weartime at both time points) found a differential change in self-reported dog walking behavior between groups (+36.1±58.4min/wk versus -26.7±90.3min/wk in INT and CON participants, respectively; p=0.04), but no differential change in MVPA (+7.4±22.2min/d versus +1.6±11.3min/d in INT and CON participants, respectively; p=0.35). CONCLUSIONS: In this small pilot study, dog obedience training led to increases in self-reported dog walking behavior but no change in device-measured MVPA as compared to a waitlist control group. There was large variability in both physical activity outcomes measures, so results should be interpreted with caution. This approach should be tested in a larger sample and should specifically target inactive dog owners that intend to or would like to walk the dog regularly but report barriers (rather than owners that do not intend to walk the dog).

Condom use in last sexual intercourse among undergraduate students: how many are using them and who are they?

A cross-sectional study was conducted to measure the prevalence of condom use in the last sexual intercourse and associated factors among university students. Undergraduate students from a public university aged 18 and over of the Rio Grande (RS) campuses were eligible. A systematic single-stage sampling was used, based on class lists and self-administered questionnaire. Descriptive, bivariate and multivariable analyses were employed, with Poisson regression for the latter two. Most of the 1,215 university students included in the analysis were aged 20 to 29 (65.6%) and 69.3% began their sexual life before the age of 18. The prevalence of condom use in the last intercourse was 41.5% (95%CI: 38.7-44.3). Male gender, lower age group, condom use at first sexual intercourse, older age of onset of sexual activity, not having a partner and casual partner in the last sexual intercourse increased the likelihood of condom use.

Improved ontology-based similarity calculations using a study-wise annotation model.

A typical use case of ontologies is the calculation of similarity scores between items that are annotated with classes of the ontology. For example, in differential diagnostics and disease gene prioritization, the human phenotype ontology (HPO) is often used to compare a query phenotype profile against gold-standard phenotype profiles of diseases or genes. The latter have long been constructed as flat lists of ontology classes, which, as we show in this work, can be improved by exploiting existing structure and information in annotation datasets or full text disease descriptions. We derive a study-wise annotation model of diseases and genes and show that this can improve the performance of semantic similarity measures. Inferred weights of individual annotations are one reason for this improvement, but more importantly using the study-wise structure further boosts the results of the algorithms according to precision-recall analyses. We test the study-wise annotation model for diseases annotated with classes from the HPO and for genes annotated with gene ontology (GO) classes. We incorporate this annotation model into similarity algorithms and show how this leads to improved performance. This work adds weight to the need for enhancing simple list-based representations of disease or gene annotations. We show how study-wise annotations can be automatically derived from full text summaries of disease descriptions and from the annotation data provided by the GO Consortium and how semantic similarity measure can utilize this extended annotation model. Database URL: https://phenomics.github.io/

Building Ontology For Library Management System Using Dewey Decimal Classification Scheme

The internet is playing a very important role in communication and sharing knowledge today. Users of the Internet use web for different kinds of tasks. The current web mostly restricts processing of information to manual keyword searching and becomes the reason for irrelevant information retrieval. This problem can be overcome by using semantic web. Semantic web is intelligent and meaningful web. It describes the things in a way that the computer can understand. Ontology plays a vital role in achieving goal of semantic web i.e. how to use and reuse knowledge that can be communicated across applications systems. For the development of ontology, the most important thing is classes and the resulting class and subclass relationships. Classification schemes have been used persistently to represent various kinds of human knowledge. Dewey Decimal Classification (DDC) scheme provides list of classes for all kind of books. It was invented by Aristotle in the 4th century BC. Currently, this scheme is used by most of libraries in the world. In our work we are extracting the classes from DDC scheme for building ontology and converting the classes into ontology. We developed a hierarchical structure comprised of a class-subclass relationship as well as relation among hierarchy levels and properties. This paper presents the potential of ontologies applicable to semantic web. The proposed ontology has been used to develop a library management system (LMS) and produce excellent results in terms of efficiency and ease of use.

Improved technical characteristics of the MI-8/17 in the army of FYR Macedonia

Worldwide experience has shown that MI-8/17 helicopters are on the top of the middle class list of high performance multipurpose helicopters, flying at high altitudes in complex meteorological conditions. The paper addresses their development, transport, as well as rescuing and combat capabilities. The excellent technical characteristics of flight and their capabilities for uninterrupted and smooth performance of tasks demonstrate the reason why the Armed forces of the FYR of Macedonia decided to use Mi-8/17 helicopters and are determined to invest in their modernization and improvement of their technical capabilities. The modernization of the resources of armies is a continuous process, which is a part of all modern military security structures. Most armed forces do not economize the funds allocated for this purpose, due to the fact that they aspire to achieve the planned capabilities, so that they would attain the ultimate preparedness in terms of capabilities of the security forces regarding technology and trained personnel.

Zespół Szkół Akademickich Politechniki Wrocławskiej strefą konstruktywnego myślenia

Zjawisko tworzenia klas patronackich nie jest wyłącznie domeną zachodnich ośrodków edukacyjnych. Obserwujmy je również w polskich szkołach. Niektóre z instytucji obejmują patronatem nie tylko pojedyncze klasy, lecz także całe gimnazja, licea. Przykładem tego typu placówki oświatowej jest Zespół Szkół Akademickich Politechniki Wrocławskiej włączony w struktury Politechniki Wrocławskiej. Niniejszy artykuł ma na celu zaprezentowanie ZSAPWr oraz przybliżenie zjawiska szkół patronackich. Przedstawiono w nim proces powstania szkoły wraz z jej krótką historią. Ponadto wskazano na bogate wyposażenie dydaktyczne szkoły i wyróżniono najistotniejsze dla misji placówki przedmioty objęte programem nauczania. Niniejszy tekst uwzględnia ofertę zajęć dodatkowych oraz formy aktywności pozalekcyjnych w całości procesu kształcenia ze szczególnym uwzględnieniem poziomu ponadgimnazjalnego. Autorzy akcentują silne związki między ZSAPWr a Politechniką Wrocławską. Istotną kwestią pozostaje akademickość szkoły jako główne kryterium analityczne. Pod tym kątem zbadano rzeczywisty poziom oddziaływania instytucji patronackiej na strukturę oraz środowisko Zespołu Szkół Akademickich Politechniki Wrocławskiej.

Mining inline cache data to order inferred types in dynamic languages

The lack of static type information in dynamically-typed languages often poses obstacles for developers. Type inference algorithms can help, but inferring precise type information requires complex algorithms that are often slow. A simple approach that considers only the locally used interface of variables can identify potential classes for variables, but popular interfaces can generate a large number of false positives. We propose an approach called inline-cache type inference (ICTI) to augment the precision of fast and simple type inference algorithms. ICTI uses type information available in the inline caches during multiple software runs, to provide a ranked list of possible classes that most likely represent a variable's type. We evaluate ICTI through a proof-of-concept that we implement in Pharo Smalltalk. The analysis of the top-n+2 inferred types (where n is the number of recorded run-time types for a variable) for 5486 variables from four different software systems shows that ICTI produces promising results for about 75% of the variables. For more than 90% of variables, the correct run-time type is present among first six inferred types. Our ordering shows a twofold improvement when compared with the unordered basic approach, i.e., for a significant number of variables for which the basic approach offered ambiguous results, ICTI was able to promote the correct type to the top of the list.

Disordered Eating Attitudes and Exercise Behavior among Female Emirati College Students in the United Arab Emirates: A Cross- Sectional Study

Background: Growing evidence is showing high levels of physical inactivity and disordered eating attitudes among young females in the United Arab Emirates. This is clearly concerning, but little is known about the activity level of those with disordered eating attitudes and their dieting behavior. This study examines the female Emirati college students’ disordered eating attitudes and its relation to exercise behavior.Method: A cross- sectional study using a validated and reliable questionnaire was conducted on 242 Emirati female students attending a public university in Dubai. Eating Attitudes Test- 26 (EAT26) was used to measure eating attitudes and the short International Physical Activity Questionnaire (IPAQ) was included to measure physical activity level. A systematic random sampling from a list of classes in the fall 2014 semester was used for recruitment. The university’s Research Ethics Committee approved the study and consents were obtained from participants. SPSS v.21 was used for data analysis. Chi-square test was used to compare frequencies. Significance level was set at 0.05.Results: The participants’ mean age and standard deviation (Mean± SD) was 19 ±1.3 years. 31.4% of the participants showed disordered eating attitudes. The percentage of participants engaged in at least one concerning behavior in the past six months was 43.8%. A membership in a health club was significantly related to disordered eating attitudes (p <0.01). A high level of physical activity was correlated with laxative use, over the counter supplements, and exercising for more than 60 minutes to control weight (p<0.05). Conclusion: There is a great need for intervention programs and policies to contain the level of abnormal eating attitudes and promote healthy level of physical activity among college students.

Identifying key classes in object-oriented software using generalized [formula omitted]-core decomposition

Identifying key classes can help developers familiarize with a previously unknown software system. Complex network research opens new opportunities for identifying key classes, and many approaches have been proposed. However, the software network that existing approaches rely on is un-weighted and un-directed, which does not conform to the reality of a software system. Thus, how to identify key classes by using more accurate software network models and appropriate complex network theories is still a problem that has never been reported. The objective of this paper is to provide a ranked list of classes for new developers as starting points for the program comprehension process. Our approach is based on a more accurate software network and a generalized version of k-core decomposition in complex network research. First, we use a weighted directed software network to represent the topological structure of software at the class level, which takes into consideration both the coupling direction and coupling strength. Then, we propose a generalized k-core decomposition method and use it to calculate the generalized coreness of each class. Finally, we sort classes with respect to their generalized corenesses in a descending order. The top-ranked classes serve as the key class candidates. Experiments have been performed on four open-source software systems. Empirical results have shown that our approach is able to identify a majority of true key classes, with a recall larger than 64% on the subject systems. Comparison studies with other nine static analysis based approaches have also been performed. Results show that our approach performs best in the whole set of subject systems according to the average ranking of the Friedman test. The evaluation indicates that our approach improves the effectiveness of existing approaches on identification of key classes. The key class candidates recommended by our approach can be excellent starting points for program comprehension process. Our approach is a valuable technique for developers who are aiming to gain a thorough understanding of a previously unknown software system.

THE INFLUENCE OF MALE ADOLESCENT AGE ON PARENTAL DEMANDINGNESS, REBELLIOUS BEHAVIOUR, AND ACADEMIC PERFORMANCE IN PUBLIC SECONDARY SCHOOLS

Purpose: The purpose of this study was to investigate the influence of male adolescent ageon PD, rebellious behavior, and academic performance in public secondary schools inKiambu district.Methodology: The study used ex-post facto research design. Stratified sampling was used toselect the participants in the study. Schools were stratified into single sex and co-educationschools. Systematic sampling using the class lists was used to identify the students whoconstituted the sample. The research instruments were the students’ questionnaire, the deputyprincipal’s and the teacher counsellor’s interview guide. The sample constituted 240 malestudents, six deputy principles and six teacher counselors. A pilot study was done to pre-testthe research instruments so as to estimate their reliability and validity. Data collected wasanalysed using Statistical Package for Social Sciences (SPSS). The findings were presentedusing descriptive and inferential statistics. Descriptive statistics included, frequencydistribution, means, bar graphs, and tabulated according to the research objectives. Inferentialstatistics used included Chi Square and pearson correlation to test the hypotheses at 90% and95% level of confidence; correlation coefficient was used to measure the strength of linearrelationship between the variables of the study.Results: The results indicated that male adolescent age had no significant relationship withPD. However, age and AP were found to have a significant relationship.Unique contribution to theory, practice and policy: The study came up with a model that isrecommended to schools for adoption by guidance and counselling teachers to help createawareness and understanding to both the students and parents with the aim of improving orbettering their relationship, academic performance and prevent rebellion in public secondaryschools.

THE INFLUENCE OF CLASS LEVEL ON PARENTAL DEMANDINGNESS, MALE ADOLESCENT REBELLIOUS BEHAVIOUR AND ACADEMIC PERFORMANCE IN PUBLIC SECONDARY SCHOOLS

Purpose: The purpose of this study was to determine the influence of class level on PD, male adolescent rebellious behavior and academic performance in public secondary schools in Kiambu district. Methodology: The study used ex-post facto research design. Stratified sampling was used to select the participants in the study. Schools were stratified into single sex and co-education schools. Systematic sampling using the class lists was used to identify the students who constituted the sample. The research instruments were the students’ questionnaire, the deputy principal’s and the teacher counsellor’s interview guide. The sample constituted 240 male students, six deputy principles and six teacher counselors. A pilot study was done to pre-test the research instruments so as to estimate their reliability and validity. Data collected was analyzed using Statistical Package for Social Sciences (SPSS). The findings were presented using descriptive and inferential statistics. Descriptive statistics included, frequency distribution, means, bar graphs, and tabulated according to the research objectives. Inferential statistics used included Chi Square and pearson correlation to test the hypotheses at 90% and 95% level of confidence; correlation coefficient was used to measure the strength of linear relationship between the variables of the study.Results: Class level was found to have no significant relationship with PD and rebellion but it had a significant relationship with academic performance.Unique contribution to theory, practice and policy: The study came up with a model that is recommended to schools for adoption by guidance and counselling teachers to help create awareness and understanding to both the students and parents with the aim of improving or bettering their relationship, academic performance and prevent rebellion in public secondary schools.

EXAMPLE OF THE USE OF SPATIAL ANALYSIS METHODS FOR THE FORMATION OF THE EVIDENCE BASE OF HARMFUL HEALTH

The application of the method of spatial analysis in the system of evidence of harm to health when exposed to the waste of past economic activities of the DWMC on the health of the population made it possible to identify the presence of reliable dependencies both for the adult (p < 0.04) and for the children (p < 0.02) of the population of Zakamensk , between the prevalence of the primary incidence of the population in terms of turnover and the remoteness of the population's places of residence to the waste storage sites. The incidence of the population of Zakamensk, living at a distance of 50 to 500 m from the storage sites of DWMC waste, was 1.07–2.58 times higher than in the zone remote from the tailing dams at a distance of more than 500 m, according to the whole list of disease classes. As a result of the research, it was concluded that the methods of spatial analysis can be used to form the evidence base for harm to health.

Vegetation of Croatia: Phytosociological classification of the high-rank syntaxa

AbstractCroatia is among the most ecologically diverse and floristically rich countries in Europe, with a great variety of communities. The vegetation elaboration according to the standard central European method was initiated in Croatia at the beginning of the 20thcentury. In previous overviews of Croatian vegetation, the number of classes and alliances was underrepresented in relation to the country’s floristic richness. Furthermore, the level of knowledge and the amount of available data varied greatly among the various types of vegetation. The aims of this paper are mainly to compile a stabile syntaxonomic list of classes, orders and alliances dominated by vascular plants in Croatia and to adjust Croatian vegetation to the new European syntaxonomic system (EuroVegChecklist). It introduces a consistent description of high-rank syntaxa in Croatian. In conclusion, the vegetation of Croatia comprises 66 classes, 121 orders and 201 alliances. The number of syntaxa shows vegetation diversity that is rather high compared to most other European countries; this is related to the high floristic richness and endemism. The list points out the obvious problems and gaps in our knowledge of vegetation in Croatia and can serve as a baseline for the future vegetation studies.

Classification of Hamiltonians in neighborhoods of band crossings in terms of the theory of singularities

We classify two-by-two traceless Hamiltonians depending smoothly on a three-dimensional Bloch wavenumber and having a band crossing at the origin of the wavenumber space. Recently these Hamiltonians attract much interest among researchers in the condensed matter field since they are found to be effective Hamiltonians describing the band structure of the exotic materials such as Weyl semimetals. In this classification, we regard two such Hamiltonians as equivalent if there are appropriate special unitary transformation of degree 2 and diffeomorphism in the wavenumber space fixing the origin such that one of the Hamiltonians transforms to the other. Based on the equivalence relation, we obtain a complete list of classes up to codimension 7. For each Hamiltonian in the list, we calculate multiplicity and Chern number [D. J. Thouless et al., Phys. Rev. Lett. 49, 405 (1982); M. V. Berry, Proc. R. Soc. A 392, 45 (1983); and B. Simon, Phys. Rev. Lett. 51, 2167 (1983)], which are invariant under an arbitrary smooth deformation of the Hamiltonian. We also construct a universal unfolding for each Hamiltonian and demonstrate how they can be used for bifurcation analysis of band crossings.

Biological Predictors of Aging and Potential of FTIR to Study Age-related Diseases and Aging Metabolic Fingerprint

Background:It is known that the increasing aging of population is the origin of enormous challenges to healthcare provision and treatment of age-related diseases, "aging" being a promissory research field. One of the emerging focus of aging research is to find suitable ways to increase healthspan, rather than lifespan. In this way, metabolomic analysis seems promising once metabolite analysis is been used in several studies of human populations in order to understand both physiological and pathologic metabolic processes. Focus: Human metabolome changes along with age and those changes are certainly related to the onset of several age related diseases. It is expectable that the study of aging metabolome could help to understand molecular physiology of aging and age related diseases. In order to extract information from the data obtained by all metabolomics techniques applied in this research field it is crucial to recognize the corresponding metabolites, in particular the biological predictors of aging, that is, molecules that ultimately could be used to predict the aging status of tissues, organs or the entire individual. Prospect: This review presents an exhaustive list of the main classes of the biological predictors of aging, some of which are potential aging biomarkers. The gathered information can be used to sustain the information obtained by the several metabolomics approaches dedicated to the study of aging. This work also defines and characterizes aging, briefly summarizes the main theories and senescence mechanisms and describes the hallmarks of aging. An overview of Fourier Transform Infrared Spectroscopy technique and its potential to study the metabolome of aging is also presented. Keywords: Aging, aging biomarkers, age-related diseases, FTIR, hallmarks of aging, metabolomics.

Discovering Archipelagos of Tractability for Constraint Satisfaction and Counting

The Constraint Satisfaction Problem (CSP) is a central and generic computational problem which provides a common framework for many theoretical and practical applications. A central line of research is concerned with the identification of classes of instances for which CSP can be solved in polynomial time; such classes are often called “islands of tractability.” A prominent way of defining islands of tractability for CSP is to restrict the relations that may occur in the constraints to a fixed set, called a constraint language , whereas a constraint language is conservative if it contains all unary relations. Schaefer’s famous Dichotomy Theorem (STOC 1978) identifies all islands of tractability in terms of tractable constraint languages over a Boolean domain of values. Since then, many extensions and generalizations of this result have been obtained. Recently, Bulatov (TOCL 2011, JACM 2013) gave a full characterization of all islands of tractability for CSP and the counting version #CSP that are defined in terms of conservative constraint languages. This article addresses the general limit of the mentioned tractability results for CSP and #CSP, that they only apply to instances where all constraints belong to a single tractable language (in general, the union of two tractable languages is not tractable). We show that we can overcome this limitation as long as we keep some control of how constraints over the various considered tractable languages interact with each other. For this purpose, we utilize the notion of a strong backdoor of a CSP instance, as introduced by Williams et al. (IJCAI 2003), which is a set of variables that when instantiated, moves the instance to an island of tractability, that is, to a tractable class of instances. We consider strong backdoors into scattered classes , consisting of CSP instances where each connected component belongs entirely to some class from a list of tractable classes. Figuratively speaking, a scattered class constitutes an archipelago of tractability . The main difficulty lies in finding a strong backdoor of given size k ; once it is found, we can try all possible instantiations of the backdoor variables and apply the polynomial time algorithms associated with the islands of tractability on the list component-wise. Our main result is an algorithm that, given a CSP instance with n variables, finds in time f ( k ) n O (1) a strong backdoor into a scattered class (associated with a list of finite conservative constraint languages) of size k or correctly decides that there is not such a backdoor. This also gives the running time for solving (#)CSP, provided that (#)CSP is polynomial-time tractable for the considered constraint languages. Our result makes significant progress towards the main goal of the backdoor-based approach to CSPs—the identification of maximal base classes for which small backdoors can be detected efficiently.

MORE: A multi‐objective refactoring recommendation approach to introducing design patterns and fixing code smells

Refactoring is widely recognized as a crucial technique applied when evolving object‐oriented software systems. If applied well, refactoring can improve different aspects of software quality including readability, maintainability, and extendibility. However, despite its importance and benefits, recent studies report that automated refactoring tools are underused much of the time by software developers. This paper introduces an automated approach for refactoring recommendation, called MORE, driven by 3 objectives: (1) to improve design quality (as defined by software quality metrics), (2) to fix code smells, and (3) to introduce design patterns. To this end, we adopt the recent nondominated sorting genetic algorithm, NSGA‐III, to find the best trade‐off between these 3 objectives. We evaluated the efficacy of our approach using a benchmark of 7 medium and large open‐source systems, 7 commonly occurring code smells (god class, feature envy, data class, spaghetti code, shotgun surgery, lazy class, and long parameter list), and 4 common design pattern types (visitor, factory method, singleton, and strategy). Our approach is empirically evaluated through a quantitative and qualitative study to compare it against 3 different state‐of‐the art approaches, 2 popular multiobjective search algorithms, and random search. The statistical analysis of the results confirms the efficacy of our approach in improving the quality of the studied systems while successfully fixing 84% of code smells and introducing an average of 6 design patterns. In addition, the qualitative evaluation shows that most of the suggested refactorings (an average of 69%) are considered by developers to be relevant and meaningful.

Beginning to Understand the Role of the Type IV Secretion System Effector Proteins in Coxiella burnetii Pathogenesis.

Coxiella burnetii is the etiological agent of the zoonotic disease Q fever, which manifests in severe outbreaks and is associated with important health and economic burden. Moreover, C.burnetii belongs to the list of class B bioterrorism organisms, as it is an airborne and highly infective pathogen with remarkable resistance to environmental stresses. Detailed study of the host-pathogen interaction during C. burnetii infection has been hampered due to the obligate intracellular nature of this pathogen. However, the development of an axenic culture medium, together with the implementation of bioinformatics tools and high-content screening approaches, have significantly progressed C. burnetii research in the last decade. This has facilitated identification of the Dot/Icm type IV secretion system (T4SS) as an essential virulence factor. T4SS is used to deliver an arsenal of effector proteins into the cytoplasm of the host cell. These effectors mediate the survival of the host cell and the development of very large replicative compartments called Coxiella-containing vacuoles (CCVs). Biogenesis of the CCV relies on T4SS-dependent re-routing of numerous intracellular trafficking pathways to deliver membranes and nutrients that are essential for bacterial replication. This review aims to illustrate the key milestones that have contributed to ascribe C. burnetii as a model organism for the study of host/pathogen interactions as well as presenting an up-to-date description of our knowledge of the cell biology of C. burnetii infections.

Note on three-generation models in heterotic string and F-theory on elliptic Calabi–Yau manifolds over Hirzebruch varieties

We give a complete list of a class of three-generation models in E8 x E8 heterotic string theory and its dual F-theory on an elliptic Calabi-Yau over a (generalized) Hirzebruch variety in which the divisors of the relevant line bundles needed for a smooth Weierstrass model are effective. The most stringent constraint on the bound of the eta class comes from the effectiveness of the divisor of the bundle corresponding to the highest Casimir in Looijenga's weighted projective space, as well as from the compactness of the toric variety. Comparison is also made with the list obtained in the literature.

Building a GIS Platform for Sustainable Land Management: A Case Study of the City of Čačak, Serbia

The general aim of this research is to contribute to sustainable land management and urban planning practices. An approach for building an urban planning-oriented information platform that could support a sustainable (i.e. environmentally sustainable), socially responsible and economically efficient decision-making process in the future at the municipal level is proposed. The proposed information platform approach relies on and is built for the Geographic Information System (GIS) but includes basic data management principles and the standards of the Spatial Data Information (SDI) concept, namely, INSPIRE. Thus, a model with the two following technical elements for building land management and urban planning based on a general platform or database is proposed in this article: (1) a conceptual Unified Modeling Language (UML) data model for urban planning metadata and data for different types of urban plans and (2) lists of land-use classes and types at the municipal level (included in the UML data model). The proposed approach includes a land-use model and the standardization of urban planning data to build a GIS platform to better integrate various types of data (social, economic, environmental, etc.) and is based on general and detailed urban regulation plans and land governance practices in the City of Čačak, Republic of Serbia. Once implemented, the proposed approach is expected to create preconditions for decision making regarding future sustainable land development in Čačak and other municipalities in Serbia.