Miracle-dz/UniFAR-FTUs huggingface dataset:
An Estimated Canadian DSGE Model with Nominal and Real Rigidities

This paper develops a dynamic, stochastic, general-equilibrium (DSGE) model for the Canadian economy and evaluates the real effects of monetary policy shocks. To generate high and persistent real effects, the model combines nominal frictions in the form of costly price adjustment with real rigidities modelled as convex costs of adjusting capital and employment. The structural parameters identifying transmission channels are estimated econometrically using a maximum likelihood procedure with a Kalman filter. The estimated nominal and real rigidities impart substantial real and persistent effects following a monetary policy shock. Furthermore, the results show that the monetary authority has accommodated technology shocks and has successfully insulated the Canadian economy from demand-side disturbances, by responding to technology and money demand shocks. Résuḿe Dans la pr ésente ́ etude, nous ́ elaborons un mod` ele d’équilibre général dynamique et stochastique (EGDS) de l’économie canadienne. Afin de g ́ nérer des effets r ́ eels consid ́ erables et persistants des chocs mon ́ etaires, nous int ́ egronsà ce mod` ele des frictions nominales et r ́ eelles sous la forme de coˆ uts d’ajustement des prix, du capital et de l’emploi. En utilisant la m ́ ethode du maximum de vraisemblance et le filtre de Kalman, nous estimons les param` etres structurels du mod` ele avec de donn ́ ees canadiennes. Les versions du mod` ele d’EGDS dot ́ e de rigidités nominales et r ́ eelles génèrent des effets r ́ eels significatifs et persistants en r ́ eactionà des chocs de politique mon ́ etaire. De plus, les r ́ esultats montrent que l’autorit é monétaire réussit bien ` a absorber les chocs technologiques et ` a protéger l’économie des perturbations exog` enes de la demande de monnaie. JEL classification: E31, E32, E52.
THE RELATIONSHIP BETWEEN TALENT MANAGEMENT(TM), ORGANIZATIONAL TRANSFORMATION (OT) AND ORGANIZATIONAL HEALTH (OH) AMONG UGANDAN UNIVERSITIES

The purpose of the study was to examine the relationship between TM and OT as predictors of OH among universities. A sample population was chosen from six universities using simple random sampling technique . A cross sectional survey method was employed to attain data from the 820 randomly chosen respondents. The data was analyzed using SPSS version 22, and Amos version 22 to address the mediation and moderation causal relationships between TM and OT and avoid the low margin of error that could result due to running the same data many times. The findings reflected that talent management and organizational transformation are valid and reliable predictors of organizational health and have both direct and indirect casual influence towards one another. The mediation effect among the variables was partial since the value of Beta (0.6) was far higher than the indirect of relationship of TM and OT multiplied together. Lastly the moderation effect of staff academic levels among the variables that predict organizational health was statistically significant.
Techno-Economic Analysis (TEA) of Different Pretreatment and Product Separation Technologies for Cellulosic Butanol Production from Oil Palm Frond

Among the driving factors for the high production cost of cellulosic butanol lies the pretreatment and product separation sections, which often demand high amounts of energy, chemicals, and water. In this study, techno-economic analysis of several pretreatments and product separation technologies were conducted and compared. Among the pretreatment technologies evaluated, low-moisture anhydrous ammonia (LMAA) pretreatment has shown notable potential with a pretreatment cost of $0.16/L butanol. Other pretreatment technologies evaluated were autohydrolysis, soaking in aqueous ammonia (SAA), and soaking in sodium hydroxide solution (NaOH) with pretreatment costs of $1.98/L, $3.77/L, and $0.61/L, respectively. Evaluation of different product separation technologies for acetone-butanol-ethanol (ABE) fermentation process have shown that in situ stripping has the lowest separation cost, which was $0.21/L. Other product separation technologies tested were dual extraction, adsorption, and membrane pervaporation, with the separation costs of $0.38/L, $2.25/L, and $0.45/L, respectively. The evaluations have shown that production of cellulosic butanol using combined LMAA pretreatment and in situ stripping or with dual extraction recorded among the lowest butanol production cost. However, dual extraction model has a total solvent productivity of approximately 6% higher than those of in situ stripping model.
Compositional Feature Subset Based Ranking System (CFBRS) for Learning to Rank with User Feedback

This paper proposed a new method for learning to rank documents using a compositional feature subset based ranking system in the presence of implicit user feedback of various classes of the users. The objective of this research was to provide an alternative method for learning ranking functions using important compositions of the LETOR (Learning to Rank) features. The proposed model allows the search engine to dynamically utilize the implicit user feedback of the various classes of the users in learning ranking models repeatedly. The experiments performed on the LETOR MQ2008 dataset show that the proposed model gives better NDCG (Normalized Discounted Cumulative Gain) scores for the subsets of the users in the ensemble settings. Results also show that the variance of the predicted ranking can be controlled by controlling the hyper-parameters like the probability of the selection of a subset, feedback on the subsets and the weights of each subset used in training the low-level ranker. We have used cross-entropy pairwise learner RankNet and the maximum margin type svmRank as lowlevel rankers, but their objective functions are modified for the feature subsets. Results obtained by bagging and boosting based ensemble methods show that the proposed method is flexible enough to model a family of the feedback weights on the individual models and can be used to provide personalized rank learning functions to the selected subsets of the users.
The Evaluation of 770 Patients in Pediatric Intensive Care Units:A Single Center Experience

Objective: To evaluate the clinical features, treatment modalities, responses to treatment, and outcomes of patients who were hospitalized in the pediatric intensive care unit (PICU). Material and Methods: The medical records of patients admitted to the Hospital of Adıyaman University, PICU between 1 January 2013 and 31 December 2013 were analyzed retrospectively. Chart data were examined for gender, age, diagnosis, place of residence, admission time, underlying chronic diseases, treatment modalities, duration of hospitalization, complications, outcomes and causes of death. Results: There were 434 (56.3%) males and 336 (43.7%) females. The median age and median length of PICU stay were 2.5 (2 month-16 years) years and 1 (1-30 days) day, respectively. Respiratory system diseases (35.9%), nervous system diseases (33.6%) and poisoning (27.1%) were the most common reasons for hospitalization. Antibiotics (68.5%), antivenoms (11.1%), inotropics (5.8%), and diuretics (5.8%) were the main treatment modalities. The percentage of patients who needed a mechanical ventilator (MV) was 5.4%. In the follow-up period, neurological (8.1%), hematological (5.1%), cardiac (5.2%), and urinary tract (2.8%) complications were detected. There were 586 (75.1%) patients transferred to other pediatrics services after their general condition had been stabilized, 134 (17.4%) were discharged from the PICU, 31 (4.1%) were referred to an advanced center, and 19 (2.4%) died. The most common reason for referral was the lack of the related subspecialist. The most common causes of death were respiratory failure and multiple organ failure. Although there are several factors affecting the clinical outcome, the results of regression analysis 1Adıyaman Üniversitesi, Tıp Fakültesi, Çocuk Sağlığı ve Hastalıkları Anabilim Dalı, Çocuk Yoğun Bakım Ünitesi, Adıyaman, Türkiye 2Adıyaman Üniversitesi, Tıp Fakültesi, Çocuk Sağlığı ve Hastalıkları Anabilim Dalı, Adıyaman, Türkiye Çapan KONCA1, Mehmet TEKİN2, Ferhat KARAKOÇ2, Mehmet TURGUT2 Çocuk Yoğun Bakım Ünitesinde Yatan 770 Hastanın Değerlendirilmesi: Tek Merkez Deneyimi The Evaluation of 770 Patients in Pediatric Intensive Care Units: A Single Center Experience
RELACIÓN ENTRE LAS PROPIEDADES FÍSICAS DE MEZCLAS DE LOMBRICOMPOST CON TEZONTLE, PIEDRA PÓMEZ

Elia Cruz-Crespo1*, Álvaro Can-Chulim1, Joel Pineda-Pineda2, Delia Moreno-Velázquez3, Gisela Aguilar-Benítez4, Juan D. García-Paredes1 1Unidad Académica de Agricultura, Universidad Autónoma de Nayarit, Km 9 Carretera TepicCompostela. 63780. Xalisco, Nayarit. (ccruzc2006@yahoo.com.mx). 2Departamento de Suelos, Universidad Autónoma Chapingo. Km 38.5 Carr. México-Texcoco. 56230. Chapingo, Texcoco, Estado de México. 3Facultad de Ingeniería Agrohidraúlica, Benemérita Universidad Autónoma de Puebla. Avenida Universidad S/N. 73965. San Juan Acateno. 4Instituto de Investigación de Zonas Desérticas, Universidad Autónoma de San Luis Potosí, Altair 200. 78377. Colonia Del Llano, San Luis Potosí, México.
ANTI-ANEMIC ACTIVITY Murraya Koenigii LEAVES ON PHENYLHYDRAZINE INDUCED ANEMIA IN RATS

Anemia is the most common blood disorder in developing countries especially in India that affects people of all ages, although the people at greater risk are the elderly, young women of child-bearing age and the infants. The incidence of a nemia is higher in the third world than in developed countries due to the presence of many aggravating factors such as poor nutrition, low socioeconomic status, high prevalence of blood parasites such as Plasmodium and Trypanosomes and helminthic infections. Presently, more than half of the world‟s population would experience some form of anemia in their lifetime (Duff, 2008). Among worldwide distribution of anemia approximately half of them are due to Iron deficiency anemia. Women are affected more than men and its widely prevalence is about 700800 million people in under developing countries and 60 – 70 million in developed countries. On a regional basis, South Asia and Africa have the highest prevalence with groups except rate of more than 40% in all age groups except for adult males and pregnant women, the latter group is the most vulnerable to anemia with an estimated prevalence rate of more than 65% in south Asia (Holden and Acomb, 2007). Hence, anemia is one of the leading health disorders posing a great threat to global healthcare. Anemia is a medical condition in which the red blood cell count or hemoglobin is less than normal leading to reduced oxygen carrying capacity. The normal level of hemoglobin is generally different in males and females. For men, anemia is typically defined as hemoglobin level of less than 13.5 gram/dL and in women as hemoglobin of less than 12.0 gram/dL3. Infant has higher concentration 15g/dL at the time of birth and 9.5 g/dl at the time of 3 month. Normal life span of a red blood cell is typically ABSTRACT
Acromioclavicular joint injuries

Acromioclavicular joint injuries are very common. Despite extensive study regarding treatment of these injuries, controversies remain. It is relatively well established that acute type I and II injuries are treated symptomatically, while types IV, V, and VI injuries generally require surgery. The appropriate management of acute type III injuries remains elusive, as many patients do well with nonoperative management, but others have residual pain or shoulder dysfunction. The optimal choice for surgical treatment of the dislocated acromioclavicular joint also has not yet been established. Many recent studies have focused on more anatomic reconstruction of the coracoclavicular and acromioclavicular ligaments. Biomechanical studies have shown this to be an improvement, but failures and complications continue to be a problem in most surgical series. This review attempts to give a brief historical overview of acromioclavicular joint injuries, options for nonoperative and operative treatment, and recent literature updates on reconstruction of the coracoclavicular and acromioclavicular ligaments.
Comparing Live-Capture Methods for Nutria: Single- Versus Multiple-Capture Cage Traps

Herbivory and burrowing by nutria (Myocastor coypus) cause substantial ecological and economic damage. Trapping is a common, effective practice for reducing nutria damage; however, trapping approaches must continually be adapted to keep pace with evolving animal welfare and ethical issues and to more effectively target pest species of interest. Our objective was to evaluate the efficacy of 2 nonlethal trap types for nutria: single-capture (SCT) and multi-capture (MCT) cage traps. We established 3 MCTs and 3 SCTs at each of 7 sites on a 10,500-ha mixed-use island located 15 km northwest of Portland, Oregon, USA. We prebaited using carrots, apples, and sweet potatoes for ≥3 consecutive days before trapping. We checked traps daily, and an infrared motion camera was established near each MCT to document activity. We captured 26 nutria over 724 trap nights, and all captures occurred at 4 sites. Nutria captured by MCTs were larger (6.38 ± 1.68 [SD] kg, n = 10) than nutria captured by SCTs (4.21 ± 2.48 [SD] kg, n = 16; F1,25 = 5.51, P = 0.02). Camera surveillance showed multiple nutria present in an MCT on ≥2 occasions, although individuals <3.7 kg were able to escape. The MCTs were more expensive, larger, heavier, and more difficult to transport and deploy. However, MCTs were less likely to capture nontargets. Improvements to MCT door design would likely increase multiple catch opportunities and decrease escapes.
Impact of horizontal resolution on global ocean–sea ice model simulations based on the experimental protocols of the Ocean Model Intercomparison Project phase 2 (OMIP-2)

Abstract. This paper presents global comparisons of fundamental global climate variables from a suite of four pairs of matched low- and high-resolution ocean and sea ice simulations that are obtained following the OMIP-2 protocol (Griffies et al., 2016) and integrated for one cycle (1958–2018) of the JRA55-do atmospheric state and runoff dataset (Tsujino et al., 2018). Our goal is to assess the robustness of climate-relevant improvements in ocean simulations (mean and variability) associated with moving from coarse (∼ 1∘) to eddy-resolving (∼ 0.1∘) horizontal resolutions. The models are diverse in their numerics and parameterizations, but each low-resolution and high-resolution pair of models is matched so as to isolate, to the extent possible, the effects of horizontal resolution. A variety of observational datasets are used to assess the fidelity of simulated temperature and salinity, sea surface height, kinetic energy, heat and volume transports, and sea ice distribution. This paper provides a crucial benchmark for future studies comparing and improving different schemes in any of the models used in this study or similar ones. The biases in the low-resolution simulations are familiar, and their gross features – position, strength, and variability of western boundary currents, equatorial currents, and the Antarctic Circumpolar Current – are significantly improved in the high-resolution models. However, despite the fact that the high-resolution models “resolve” most of these features, the improvements in temperature and salinity are inconsistent among the different model families, and some regions show increased bias over their low-resolution counterparts. Greatly enhanced horizontal resolution does not deliver unambiguous bias improvement in all regions for all models.
Spike Train Cumulants for Linear-Nonlinear Poisson Cascade Models

Spiking activity in cortical networks is nonlinear in nature. The linear-nonlinear cascade model, some versions of which are also known as point-process generalized linear model, can efficiently capture the nonlinear dynamics exhibited by such networks. Of particular interest in such models are theoretical predictions of spike train statistics. However, due to the moment-closure problem, approximations are inevitable. We suggest here a series expansion that explains how higher-order moments couple to lower-order ones. Our approach makes predictions in terms of certain integrals, the so-called loop integrals. In previous studies these integrals have been evaluated numerically, but numerical instabilities are sometimes encountered rendering the results unreliable. Analytic solutions are presented here to overcome this problem, and to arrive at more robust evaluations. We were able to deduce these analytic solutions by switching to Fourier space and making use of complex analysis, specifically Cauchy's residue theorem. We formalized the loop integrals and explicitly solved them for specific response functions. To quantify the importance of these corrections for spike train cumulants, we numerically simulated spiking networks and compared their sample statistics to our theoretical predictions. Our results demonstrate that the magnitude of the nonlinear corrections depends on the working point of the nonlinear network dynamics, and that it is related to the eigenvalues of the mean-field stability matrix. For our example, the corrections for the firing rates are in the range between 4 % and 21 % on average. Precise and robust predictions of spike train statistics accounting for nonlinear effects are, for example, highly relevant for theories involving spike-timing dependent plasticity (STDP).
Modelling the Adoption of Mobile Payment System for Paying Examination Fees in Tanzanian Major Cities

This paper examines the different factors affecting the intention to use the mobile payment systems for examination fee payment in the National Examination Council of Tanzania (NECTA). Using Structural Equation modelling technique from a Tanzanian major cities perspective, the paper examines whether the mobile payment systems technology acceptance level is affected by the factors affecting the intention to use. The rationale for the investigation stems from the fact that while more than 61% of Tanzanians own or have access to mobile phones and the mobile usage in major cities increases, there is decrease of NECTA candidates who opt mobile examination fee payment method. The paper attempts to model the individual intention to use mobile payment systems for paying examination fees in Tanzania major cities. It concludes that the factors that had significant impact on the individual intention to use mobile payment systems, performance expectance, social influences and trust is necessary.
NATIONAL RESEARCH UNIVERSITY HIGHER SCHOOL OF ECONOMICS as a manuscript Oksana Zinchenko NEUROBIOLOGICAL MECHANISMS OF SOCIAL PUNISHMENT AS A COOPERATION PROMOTER PhD Dissertation for the purpose of obtaining academic degree Doctor of Philosophy in Psychology HSE Academic supervisor:

Recent studies have demonstrated that the right dorsolateral prefrontal cortex (rDLPFC) and the right temporoparietal junction (rTPJ) are causally involved in social norm compliance. Here, we tested the hypothesis that a third party’s decision to punish norm violations depends on the activity of the entire rDLPFC/rTPJ network. We used transcranial direct current stimulation (tDCS) to independently or jointly modulate rTPJ and rDLPFC activity during the third-party dictator game. We found a significant effect of anodal tDCS of the rTPJ, which decreased the third-party punishment of
OSTEOPOROSIS AND PERIODONTAL DISEASE: ASSOCIATION AND MECHANISMS: AN IN-DEPTH REVIEW

Systemic bone loss has been proposed as a risk factor for periodontal disease with increasing evidences that osteoporosis and the underlying loss of bone mass characteristic of this disease is associated with periodontal disease and tooth loss. Periodontal disease is a microbial infection, but the exact etiology of the disease may be multi-factorial. Risk factors associated with periodontal disease include accumulation of dental plaque and host-response abnormalities, involving smoking and many systemic diseases like diabetes, respiratory diseases, cardiovascular diseases, adverse pregnancy outcome and osteoporosis.
Cultural, Learning and KMS 1 1 Running Head: CULTURAL, LEARNING AND KMS CULTURAL DETERMINANTS OF LEARNING EFFECTIVENESS FROM KNOWLEDGE MANAGEMENT SYSTEMS: A MULTINATIONAL INVESTIGATION

Knowledge is a vital component of organizational success embedded within the human resources of a firm (Grant, 1996). Knowledge is lost by organizations when it is not used or when knowledgeable individuals turnover. Knowledge Management Systems (KMS) are designed to help organizations capture, store, distill, and distribute knowledge embedded within their employees. The effectiveness of KMS is dependent on individual learning and individualspecific learning preferences. Furthermore, as the world becomes more globalized and the job candidate pool from which organizations hire becomes more culturally diverse, the extent to which western models of organizational behavior hold becomes less clear. Using a multi-national survey, this study aims to determine to what extent learning preferences are dependent on culture. If learning preferences are dependent on culture, KMS designs that ignore culture may result in incomplete or ineffective knowledge transfer and learning outcomes. Our findings contribute to the KMS literature by suggesting that KMS design should be conducted with the goal of effectively facilitating learning across cultures. Specific KMS design recommendations include incorporating group activities and providing more flexibility, depending on the culturally derived learning preferences of specific users.
Vegetative growth response of beets and lettuce to stored human urine

In this work, we present the experimental results of the effect of stored human urine (SHU) on the growth of beets (Beta vulgaris L) and lettuce (Lactuca sativa L). We apply different amounts of SHU according to the recommended dose of nitrogen, considering soil from farmland and vermiculite as substrates. The last allows us to determine with high precision the isolated effect of SHU over the vegetative development of beet plants, without considering other nutrients present in common soils. Experimental results demonstrate that the application of SHU has no significant effects on lettuce vegetative growth under our soil conditions. In contrast, SHU can be used successfully as a fertilizer of beets. The optimum dose was found at 120 kg N ha and resulted in average dry weight of 125 g. However, if the dose exceeds the optimum levels, the growth of the plant is inhibited. Beets fertilized with SHU does not pose any hygienic risk for human consumption. Our findings represent a promising alternative to propose expanding the use of SHU as fertilizer in medium-sized greenhouses and to provide benefits to families in rural areas, with little or no available water supplies.