Recurrent Poisson Factorization for Temporal Recommendation

Poisson factorization is a probabilistic model of users and items for recommendation systems, where the so-called implicit consumer data is modeled by a factorized Poisson distribution. There are many variants of Poisson factorization methods who show state-of-the-art performance on real-world recommendation tasks. However, most of them do not explicitly take into account the temporal behavior and the recurrent activities of users which is essential to recommend the right item to the right user at the right time. In this paper, we introduce Recurrent Poisson Factorization (RPF) framework that generalizes the classical PF methods by utilizing a Poisson process for modeling the implicit feedback. RPF treats time as a natural constituent of the model and brings to the table a rich family of time-sensitive factorization models. To elaborate, we instantiate several variants of RPF who are capable of handling dynamic user preferences and item specification (DRPF), modeling the social-aspect of product adoption (SRPF), and capturing the consumption heterogeneity among users and items (HRPF). We also develop a variational algorithm for approximate posterior inference that scales up to massive data sets. Furthermore, we demonstrate RPF's superior performance over many state-of-the-art methods on synthetic dataset, and large scale real-world datasets on music streaming logs, and user-item interactions in M-Commerce platforms.Comment: Submitted to KDD 2017 | Halifax, Nova Scotia - Canada - sigkdd, Codes are available at https://github.com/AHosseini/RP

Data on groundwater quality, scaling potential and corrosiveness of water samples in Torbat-e-Heydariyeh rural drinking water resources, Khorasan-e-Razavi province, Iran

According to World Health Organization guidelines, corrosion control is an important aspect of safe drinking-water supplies. The data presented is physical and chemical parameters of drinking water in the rural areas of Torbat-e-Heydariyeh city, also to determine corrosion indices. This cross-sectional study has carried out with 188 taken samples during 2014 with 13 parameters, which has been analyzed based on standard method. Also with regard to standard conditions, result of this paper is compared with Environmental Protection Agency and Iran national standards. Five indices, Langlier Saturation Index (LSI), Ryznar Stability Index (RSI), Puckorius Scaling Index (PSI), Larson-Skold Index (LS) and Aggressive Index (AI), programmed by using Microsoft Excel software. Owing to its simplicity, the program can easily be used by researchers and operators. Parameters included Sulfate, Sodium, Chloride, and Electrical Conductivity respectively was 13.5%, 28%, 10.5%, and 15% more than standard level. The amounts of Nitrate, in 98% of cases were in permissible limits and about 2% were more than standard level. Result of presented research indicate that water is corrosive at 10.6%, 89.4%, 87.2%, 59.6% and 14.9% of drinking water supply reservoirs, according to LSI, RSI, PSI, LS and AI, respectively. © 2018 The Author

Synthesis and gas-sensing properties of nano- and meso-porous MoO3-doped SnO2

Nano- and meso-porous SnO2 powders doped with and without 1-10 wt% MoO3 have been synthesized by an ultrasonic spray-pyrolysis method employing a precursor aqueous solution containing tin (IV) chloride pentahydrate (SnCl4·5H2O), ammonium heptamolybdate and polymethylmethacrylate (PMMA) microspheres as a template, and the effects of MoO3-doping and the addition of PMMA microspheres on the structural, morphological and gas-sensing properties of SnO2 were investigated in this study. It is confirmed that control of the amounts of PMMA microspheres in the precursor solution was effective in realizing well-developed nano- and meso-porous structures of SnO2 by X-ray diffraction analysis, scanning electron microscopy, transmission electron microscopy, X-ray photoelectron spectroscopy, and the measurement of specific surface area and pore size distribution using a N2 adsorption isotherm. Gas-sensing properties of their thick films (about 50 μm thick), which were fabricated by screen-printing to various gases (NO2, C2H5OH and H2) were tested in ambient air. The doped thick films showed a high response and selectivity to 5 ppm NO2 gas in the case of 10 wt% MoO3-doping in both nano- and meso-porous structures of SnO2. We observed that the presence of Mo species in SnO2 lattice can improve the sensor response and selectivity towards NO2 gas. The effect of the MoO3-doping on the sensing characteristics of these films towards NO2 was discussed

Investigation of Wind Energy Potential Evaluation in Kerman, Iran

Energy consumption trend has been very rapid and alarming in recent years. This trend in developing countries and in particular in Iran is much higher than the global average. An accepted fact is that the world required energy is growing rapidly for societies and we also have cheap fossil energy sources that certainly, in a few decades will be finished but slowly. Human should use of clean and renewable energy for keeping these valuable fossil resources to future generation and prevent than environmental damages that created by these resources and answer to increased demand for energy. In this study we will review of wind energy potential evaluation in Kerman

Investigation of Wind Energy Potential Evaluation in Kerman, Iran

Energy consumption trend has been very rapid and alarming in recent years. This trend in developing countries and in particular in Iran is much higher than the global average. An accepted fact is that the world required energy is growing rapidly for societies and we also have cheap fossil energy sources that certainly, in a few decades will be finished but slowly. Human should use of clean and renewable energy for keeping these valuable fossil resources to future generation and prevent than environmental damages that created by these resources and answer to increased demand for energy. In this study we will review of wind energy potential evaluation in Kerman

Monitoring of algal bloom in coastal water of the Persian Gulf and Oman sea (Hormuzgan province)

This study was carried to monitor the algal bloom in Hormozgan Province costal water in 2012. The purpose of this project is to examine the changes of phytoplankton, Zooplankton, and environmental factors in this area monthly. To achieve this goal, eight sampling stations were selected in Bandar Abbass coast and three stations were selected in both port Lengeh and Jask. Physicochemical parameters of water were measured with a CTD and the minimum and maximum values were obtain for these parameters contain temperatures between 19.5 ± 0.32 and 35.34 ± 0.2 (oC), salinity between 36.8 ± 0.05 and 39 ± 0.03(p s u), dissolved oxygen between 4.75 ± 0.14 and 6.8 ± 0.2 (mg / l), pH between 7.9 ± 0.05 and 8.8 ± 0.09, chlorophyll a between 0.29 ± 0.13 and 2.97 ± 0.13 (mg/m^3). In this study 3 branches, 5 classes, 14 orders, 24 families and 42 genera of phytoplankton (including 26 genera of group Bacillariophyceae, 14 genera of group Dinophyceae and 2 genera of group Cyanophyceae) as well as 14 groups of Zooplankton populations were identified. The results of the study of phytoplankton in coastal waters of the Hormozgan province showed that in all months (with some exceptions, regardless of the dominant group have dinoflagellate) diatoms constitute the highest frequency of the dominant group. In the spring, Gymnodinium with 90% ,in summer Chaetoceros and Oscillatoria, each with a 40%, in fall Leptocylindrus and Rhizosolenia each with 71%and 26% and 33% in winter Leptocylindrus the dominant species in coastal waters of Bandar Abbas. In Port Lengeh and r Jask coastal waters Guinardia with 30% and Leptocylindrus with 39% in the Spring Nitzschia, with 69% and Rhizosolenia with 49% in the Summer, Rhizosolenia, with 57% and Gymnodinium 30% in the Autumn, and Leptocylindrus with 40% and 59% in the Winter were the dominant species in these areas.There was a significant correlation n between physicochemical parameters and total abundance of phytoplankton in all area (p<0.5). The results showed that the seasonal variation and the percent of zooplankton were, Nauplius, 49% and Calanoida, 21% in Spring, Nauplius, 41% and Tintinnida, 28% in Summer, Nauplius 49% and Cyclopoida, 20% in Autumn and Tintinnida, 31% and Cyclopoida, 26% in Winter in Hormozgan province Coasts, in other words, the maximum percentage was belong to the crustacean group

Cultural Intelligence Diognastic and Assessment Model based on Behaviour Strategy

The availability of new products with the expansion of global services has created and highlighted some kind of international competitions. This change, affected by the development of new information technologies, has caused new challenges for organizations and industries in turn. Following the new conditions, the companies expanded their activities domain which caused them face multicultural phenomenon among their customers and staff as well. Cultural intelligence is known as an effective way of managing such circumstances. This paper aims to deepen the concept of cultural intelligence as well as designing and elaborating on the Cognitive Model and Cultural Intelligence Assessment. To accomplish the task, all the variables and components of the selected model have been identified using meta-synthesis studies. The obtained conceptual framework has been applied for apprising and assessing cultural intelligence using Fuzzy Delphi technique which was modified and approved for the selected statistical sample of elite. According to the studies six components that are self-openness for intercultural learning, cultural contact, foreign literature review, enjoying intercultural communication and considering cultural awareness as well as 19 basic codes were identified for assessment of cultural intelligence. The codes were provided as a result of studying selected meta-synthesis and Fuzzy Delphi essays and could be applied as a reliable model for assessment of cultural intelligence

IL-23 and IL-27 gene expression in three breast cancer cell lines and metastatic and non-metastatic lymph nodes in breast cancer patients

Introduction: There is a great need to identify prognostic and diagnostic cancer bio-markers which can be applied for vaccine and immunotherapy development. The aim of this study was to determine gene expression of IL-23 and IL-27 in two groups: lymph nodes of breast cancer patients and three cell lines. Materials and Methods: IL-23 and IL-27 mRNA transcript were investigated in 10 lymph node samples (consisting of 5 metastasis and 5 non metastasis ones) and three cell lines (including of SKBR3, MDA-MB-468 and MCF7) by quantitative real time PCR (Q-PCR) procedure using designed primers, Master Mix reaction containing SYBER green and β actin housekeeping gene. Results: Data showed no significant differences in IL-23 and IL-27 mRNA gene expressions among metastatic lymph node and non-metastatatic ones. Also, we did not find any significant differences in IL-23 and IL-27 mRNA expressions in cancer cell lines. Conclusions: Our findings indicate that breast cancer microenvironment has no effect on inflammation via either IL-23 gene expression or Il-27