250 research outputs found
Alcohol, cannabinoids, and opioids abuse and dependence among psychiatric inpatients
Background: While substance abuse among psychiatric patients is a widely known problem in clinical practice, there is no local study about prevalence and co-occurrence of substance abuse in north of Iran. Objectives: The present study was designed to determine the frequency of smoking, alcohol, opioid and cannabinoid substances, and prescription medicines abuse or dependence among Psychiatric Inpatients. Patients and Methods: A cross-sectional 2-year case register study was conducted on all (n = 492) psychiatric inpatients of Zare Psychiatric Hospital in Sari located in north of Iran. The data were obtained by using a standardized and validated questionnaire that contained demographic information along with information on co-morbid psychiatric problems and alcohol, cannabinoids, opioids, and cigarette usage. Results: The mean (ñ SD) age of samples was 39.9 (ñ 11.9) years and male:female ratio was 3.6. Opium with or without using other illicit substances was the most frequently abused substance (67). Significant association were found between illicit substance abuse and demographic variables of male gender, a low level of literacy, living in the urban area, unemployment, cigarette smoking, and young age. There were statistically significant association between schizophrenia and substance abuse (P < 0.001). Conclusion: High prevalence of dual diagnosis warrants attention to the management of substance misuse while treating mental disorders, and should be incorporated in the holistic treatment plan of psychiatric inpatients. é 2015, Mazandaran University of Medical Sciences
Recurrence Quantification Analysis: A Simple Method for Characterization of Various Structures in Gas-Solid Fluidized Beds
The Possible Impact of Obesity on Androgen, Progesterone and Estrogen Receptors (ERα and ERÎČ) Gene Expression in Breast Cancer Patients
Background Obesity has been associated with increased mortality from hormone dependant cancers such as breast cancer which is the most prevalent cancer in women. The link between obesity and breast cancer can be attributed to excess estrogen produced through aromatization in adipose tissue. The role of steroid hormone receptors in breast cancer development is well studied but how obesity can affect the expression pattern of steroid hormones in patients with different grades of breast cancer was the aim of this study. Methods In this case-control study, 70 women with breast cancer participated with different grades of obesity (36 none obese, BMI < 25 kg/m 2 and 34 obese, BMI â„ 25 kg/m 2 ). The mean age of participants was 44.53 ± 1.79 yr (21â70 yr). The serum level of estrogen, progesterone and androgen determined by ELISA. Following quantitative expression of steroid hormone receptors mRNA in tumor tissues evaluated by Real-time PCR. Patients with previous history of radiotherapy or chemotherapy were excluded. SPSS 16 was used for data analysis and P < 0.05 considered statistically significant. Results The difference in ERα, ERÎČ and PR mRNA level between normal and obese patients was significant ( P < 0.001). In addition, the expression of AR mRNA was found to be higher than other steroid receptors. There was no significant relation between ERÎČ gene expression in two groups ( P = 0.68). We observed a significant relationship between ERα and AR mRNA with tumor stage and tumor grade, respectively ( P = 0.023, P = 0.015). Conclusion According to the obtained results, it is speculated that obesity could paly a significant role in estrogen receptors gene expression and also could affect progression and proliferation of breast cancer cells
Treniranje u uvjetima kontinuuma oteĆŸavajuÄega kontekstualnog utjecaja: usporedba triju razliÄitih naÄina vjeĆŸbanja na satovima tjelesne i zdravstvene kulture u osnovnim ĆĄkolama
Few studies have explored the contextual interference effect with children. The findings from these investigations have produced inconsistent results. The purpose of this study was to investigate further how the contextual interference effect influenced children learning a fundamental motor skill in a physical education class. Elementary students (N=36) practiced overarm throwing following traditional blocked or random scheduling. They were compared to a third group of participants practicing the same tasks following a
schedule with systematic increases in contextual interference. Analysis revealed that all three groups improved during practice. Post-test results revealed performance differences in favor of the group that practiced with systematic increases in contextual interference. The findings reported here extend the results of previous studies by demonstrating that children can learn a motor skill by practicing with systematic increases in contextual interference. Theoretical considerations are discussed, as well as the relevance of the findings
for practitioners and avenues for future research.Premalo je istraĆŸivanja koja su ispitivala uÄinke kontekstualnog utjecaja na uÄenje motoriÄkih znanja u djece. Rezultati tih istraĆŸivanja bili su proturjeÄni. Cilj ovog istraĆŸivanja bilo je daljnje istraĆŸivanje
uÄinaka kontekstualnog utjecaja na djecu koja uÄe osnovna motoriÄka znanja na nastavi tjelesne i zdravstvene kulture. UÄenici osnovnih ĆĄkola (N=36) vjeĆŸbali su osnovno bacanja loptice jednom rukom iznad glave u uvjetima tradicionalne, blokirane ili nasumiÄne strukture kontekstualnog utjecaja. Rezultati tih uÄenika usporeÄeni su s rezultatima treÄe grupe ispitanika koji su izvodili/vjeĆŸbali isti motoriÄki
zadatak u uvjetima sustavnog poveÄanja oteĆŸavajuÄega kontekstualnog utjecaja. Rezultati su pokazali da su sve tri grupe ispitanika napredovale tijekom vjeĆŸbanja. Rezultati finalnog mjerenja pokazali su
takoÄer da je veÄi napredak zabiljeĆŸen u grupi koja je vjeĆŸbala u uvjetima sustavnog poveÄanja oteĆŸavajuÄega kontekstualnog utjecaja. Rezultati ovog istraĆŸivanja proĆĄiruju spoznaje dosadaĆĄnjih znanstvenih
istraĆŸivanja ukazivanjem na Äinjenicu da djeca mogu uÄiti motoriÄka znanja u uvjetima sustavnog poveÄanja oteĆŸavajuÄega kontekstualnog
utjecaja. U Älanku su raspravljene teorijske osnove eksperimenta i praktiÄan doprinos dobivenih znanstvenih spoznaja te su predstavljene preporuke za daljnja znanstvena istraĆŸivanja
Transdiagnostic treatment of co-occurrence of anxiety and depressive disorders based on repetitive negative thinking: A case series
Objective: The transdiagnostic cognitive behavioral treatments for treating the coexistence of anxiety and mood disorders received useful empirical supports in the recent years. However, these treatments still have moderate efficacy. Following the improvements and developments in transdiagnostic protocols and considering the importance of repetitive negative thinking as a core transdiagnostic factor in emotional disorders, this study examined a new form of transdiagnostic treatment based on Repetitive Negative Thinking (TTRNT) of co-occurrence of anxiety and depressive disorders. Methods: Treatment efficacy was assessed using single case series with multiple baselines. Three patients meeting the criteria for co-occurrence of anxiety and depressive disorders were selected using the Anxiety Disorders Interview Schedule for DSM-IV. The patients were treated individually for 12 weekly sessions. Participants completed the standardized outcome measures during the baseline, treatment and one-month follow-up. Results: At post-treatment, all participants showed significant clinical changes on a range of standardized outcome measures, and these gains were largely maintained through the one-month follow-up both in the principle and co-principal diagnosis. Conclusions: Although the results of this preliminary investigation indicated that TTRNT could be a time effective and efficient treatment for individuals with co-occurrence of anxiety and depressive disorders, further controlled clinical trials are necessary to examine this new treatment approach
Relationship between vitreous and serum vascular endothelial growth factor levels, control of diabetes and microalbuminuria in proliferative diabetic retinopathy
Meiofauna and macrofauna community structure in relation with environmental factors at South of Caspian Sea
Biodiversity and distribution of benthic Meiobenthos in the sediments of the Southern Caspian Sea) Mazandaran) was studied in order to introduce and determine their relationship with the environmental factors. From 12 stations (ranging in depths 5, 10, 20 and 50 meters), sediment samples were gathered in four seasons (2012). Environmental factors of water near the bottom including temperature, salinity, dissolved Oxygen and pH were measured during sampling with CTD instrument(conductivity, temperature and Depth)    and the grain size and total organic matter percentage and calcium carbonate were measured in the laboratory. From the 4 group animals (Foraminfera, Crustacea, Worms and Mollusca), 40 species were identified belonging to 29 genera of 25 families belonging to meiofauna and 15 species belonging to 15 genera of 13 belonging to macrofauna. Among seven parameters evaluated, Pearson correlation showed that there is a negative correlation between density of meiobenthos, TOM and depth and there is not a correlation between macrofauna and environmental factors. However, according to the results of One Way ANOVA, the density of  meiofauna was significantly different from station, season and depth, and macrofaunain was also significantly different from station and season (P<0.05). Maximum ShannonâWiener index was observed in winter
Water Policies and Conflict Resolution of Public Participation Decision-Making Processes Using Prioritized Ordered Weighted Averaging (OWA) Operators
[EN] There is a growing interest in environmental policies about how to implement public participation engagement in the context of water resources management. This paper presents a robust methodology, based on ordered weighted averaging (OWA) operators, to conflict resolution decision-making problems under uncertain environments due to both information and stakeholders' preferences. The methodology allows integrating heterogeneous interests of the general public and stakeholders on account of their different degree of acceptance or preference and level of influence or power regarding the measures and policies to be adopted, and also of their level of involvement (i.e., information supply, consultation and active involvement). These considerations lead to different environmental and socio-economic outcomes, and levels of stakeholders' satisfaction. The methodology establishes a prioritization relationship over the stakeholders. The individual stakeholders' preferences are aggregated through their associated weights, which depend on the satisfaction of the higher priority decision maker. The methodology ranks the optimal management strategies to maximize the stakeholders' satisfaction. It has been successfully applied to a real case study, providing greater fairness, transparency, social equity and consensus among actors. Furthermore, it provides support to environmental policies, such as the EU Water Framework Directive (WFD), improving integrated water management while covering a wide range of objectives, management alternatives and stakeholders.Llopis Albert, C.; MerigĂł-Lindahl, JM.; Liao, H.; Xu, Y.; Grima-Olmedo, J.; Grima-Olmedo, C. (2018). Water Policies and Conflict Resolution of Public Participation Decision-Making Processes Using Prioritized Ordered Weighted Averaging (OWA) Operators. Water Resources Management. 32(2):497-510. https://doi.org/10.1007/s11269-017-1823-2S497510322Amin GR, Sadeghi H (2010) Application of prioritized aggregation operators in preference voting. Int J Intell Syst 25(10):1027â1034Chen TY (2014) A prioritized aggregation operator-based approach to multiple criteria decision making using interval-valued intuitionistic fuzzy sets: A comparative perspective. Inf Sci 281:97â112Chen LH, Xu ZS (2014) A prioritized aggregation operator based on the OWA operator and prioritized measures. J Intell Fuzzy Syst 27:1297â1307Chen LH, Xu ZS, Yu XH (2014a) Prioritized measure-guided aggregation operators. IEEE Trans Fuzzy Syst 22:1127â1138Chen LH, Xu ZS, Yu XH (2014b) Weakly prioritized measure aggregation in prioritized multicriteria decision making. Int J Intell Syst 29:439â461CHJ (2016). JĂșcar river basin authority http://www.chj.es/CHS (2016). Segura river basin authority http://www.chsegura.es/Dong JY, Wan SP (2016) A new method for prioritized multi-criteria group decision making with triangular intuitionistic fuzzy numbers. J Intell Fuzzy Syst 30:1719â1733EC (2000). Directive 2000/60/EC of the European Parliament and of the Council of October 23 2000 Establishing a Framework for Community Action in the Field of Water Policy. Official Journal of the European Communities, L327/1eL327/72 22.12.2000Jackson S, Tan P-L, Nolan S (2012) Tools to enhance public participation and confidence in the development of the Howard East aquifer water plan, Northern Territory. J Hydrol 474:22â28Jin FF, Ni ZW, Chen HY (2016) Note on âHesitant fuzzy prioritized operators and their application to multiple attribute decision makingâ. Knowl-Based Syst 96:115â119Kentel E, Aral MM (2007) Fuzzy Multiobjective Decision-Making Approach for Groundwater Resources Management. J Hydrol Eng 12(2):206â217. https://doi.org/10.1061/(ASCE)1084-0699(2007)12:2(206).Kirchherr J, Charles KJ, Walton MJ (2016) Multi-causal pathways of public opposition to dam project in Asia: A fuzzy set qualitative comparative analysis (fsQCA). Glob Environ Chang 41:33â45. https://doi.org/10.1016/j.gloenvcha.2016.08.001Llopis-Albert C, Pulido-Velazquez D (2015) Using MODFLOW code to approach transient hydraulic head with a sharp-interface solution. Hydrol Process 29(8):2052â2064. https://doi.org/10.1002/hyp.10354Llopis-Albert C, Palacios-MarquĂ©s D, Soto-Acosta P (2015) Decision-making and stakeholders constructive participation in environmental projects. J Bus Res 68:1641â1644. https://doi.org/10.1016/j.jbusres.2015.02.010Llopis-Albert C, MerigĂł JM, Xu Y, Huchang L (2017) Improving regional climate projections by prioritized aggregation via ordered weighted averaging operators. Environ Eng Sci. https://doi.org/10.1089/ees.2016.0546Maia R (2017) The WFD Implementation in the European Member States. Water Resour Manag 31(10):3043â3060. https://doi.org/10.1007/s11269-017-1723-5Malczewski J, Chapman T, Flegel C, Walters D, Shrubsole D, Healy MA (2003) GIS - multicriteria evaluation with ordered weighted averaging (OWA): case study of developing watershed management strategies. Environ Plan A 35:1769â1784. https://doi.org/10.1068/a35156MerigĂł JM, Casanovas M (2011) The uncertain generalized owa operator and its application to financial decision making. Int J Inf Technol Decis Mak 10(2):211â230MerigĂł JM, Yager RR (2013) Generalized moving averages, distance measures and OWA operators. Int J Uncertain, Fuzziness Knowl-Based Syst 21(4):533â559MerigĂł JM, Palacios-MarquĂ©s D, Ribeiro-Navarrete B (2015) Aggregation systems for sales forecasting. J Bus Res 68:2299â2304Mesiar R, StupnanovĂĄ A, Yager RR (2015) Generalizations of OWA Operators. IEEE Trans Fuzzy Syst 23(6):2154â2162OâHagan M (1988) Aggregating Template Rule Antecedents in Real-time Expert Systems with Fuzzy Set Logic. In: Proceedings of 22nd annual IEEE Asilomar Conference on Signals. IEEE and Maple Press, Pacific Grove, Systems and Computers, pp 681â689Rahmani MA, Zarghami M (2013) A new approach to combine climate change projections by ordered weighting averaging operator; applications to northwestern provinces of Iran. Glob Planet Chang 102:41â50Ran LG, Wei GW (2015) Uncertain prioritized operators and their application to multiple attribute group decision making. Technol Econ Dev Econ 21:118â139Ruiz-Villaverde, A., GarcĂa-Rubio, M.A. (2017). Public Participation in European Water Management: from Theory to Practice. Water Resour Manag 31(8), 2479â2495. https://doi.org/10.1007/s11269-016-1355-1Sadiq R, Tesfamariam S (2007) Probability density functions based weights for ordered weighted averaging (OWA) operators: An example of water quality indices. Eur J Oper Res 182:1350â1368Sadiq R, RodrĂguez MJ, Tesfamariam S (2010) Integrating indicators for performance assessment of small water utilities using ordered weighted averaging (OWA) operators. Expert Syst Appl 37:4881â4891Verma R, Sharma B (2016) Prioritized information fusion method for triangular fuzzy information and its application to multiple attribute decision making. Int J Uncertain, Fuzziness Knowl-Based Syst 24:265â290Wang HM, Xu YJ, MerigĂł JM (2014) Prioritized aggregation for non-homogeneous group decision making in water resource management. Econ Comput Econ Cybern Stud Res 48(1):247â258Wei GW (2012) Hesitant fuzzy prioritized operators. Knowl-Based Syst 31:176â182Wei CP, Tang XJ (2012) Generalized prioritized aggregation operators. Int J Intell Syst 27:578â589Xu ZS (2005) An Overview of Methods for Determining OWA Weights. Int J Intell Syst 20:843â865Yager RR (1988) On ordered weighted averaging aggregation operators in multi-criteria decision making, IEEE Transactions on Systems. Man Cybern B 18(1988):183â190Yager RR (2008) Prioritized Aggregation Operators. Int J Approx Reason 48:263â274Yan H-B, Huynh V-N, Nakamori Y, Murai T (2011) On prioritized weighted aggregation in multi-criteria decision making. Expert Syst Appl 38(1):812â823Ye J (2014) Prioritized aggregation operators of trapezoidal intuitionistic fuzzy sets and their application to multicriteria decision-making. Neural Comput & Applic 25:1447â1454Yu XH, Xu ZS, Liu SS (2013) Prioritized multi-criteria decision making based on preference relations. Comput Ind Eng 66:104â115Zadeh LA (1983) A Computational Approach to Fuzzy Quantifiers in Natural Languages. Comput Math Appl 9:149â184Zarghami M, Szidarovszky F (2009) Revising the OWA operator for multi criteria decision making problems under uncertainty. Eur J Oper Res 198:259â265Zarghami M, Ardakanian R, Memariani A, Szidarovszky F (2008) Extended OWA Operator for Group Decision Making on Water Resources Projects. J Water Resour Plan Manag 134(3):266â275. https://doi.org/10.1061/(ASCE)0733-9496(2008)134:3(266)Zarghami M, Szidarovszky F, Ardakanian R (2009) Multi-attribute decision making on inter-basin water transfer projects. Transaction E. Ind Eng 16(1):73â80Zhao XF, Li QX, Wei GW (2014) Some prioritized aggregating operators with linguistic information and their application to multiple attribute group decision making. J Intell Fuzzy Syst 26:1619â1630Zhao N, Xu ZS, Ren ZL (2016) On typical hesitant fuzzy prioritized âorâ operator in multi-attribute decision making. Int J Intell Syst 31:73â100Zhou LY, Lin R, Zhao XF, Wei GW (2013) Uncertain linguistic prioritized aggregation operators and their application to multiple attribute group decision making. Int J Uncertain, Fuzziness Knowl-Based Syst 21:603â627Zhou LG, MerigĂł JM, Chen HY, Liu JP (2016) The optimal group continuous logarithm compatibility measure for interval multiplicative preference relations based on the COWGA operator. Inf Sci 328:250â26
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