Association of Postoperative Urinary Output in the First 24 Hours with Delayed Graft Function After Living and Deceased Donor Kidney Transplant: A Systematic Review

Context: Delayed graft function (DGF) is an important clinical outcome following renal transplantation; therefore, it is important to be correctly diagnosed. The DGF is thought to correlate with the first 24-hour urine output (UOP1), and this clinical sign is expected to predict DGF. Objectives: This study aimed to discover whether the UOP1 correlates significantly to the DGF incidence and can be a DGF predicting factor. Data Sources: This study compared the incidence of DGF with the UOP1 reported by studies obtained from the electronic databases, namely MEDLINE, Cochrane, and EBSCO. Studies that performed multivariate or bivariate analysis and/or reported sensitivity and specificity were included in this review. Results: A total of 1719 studies were obtained from the database search, and 2 studies were enrolled from other sources. Out of 1721 studies, 9 studies were recruited in this review, 5 of which reported sensitivity and specificity. Overall, nine of these studies had a low to moderate risk of bias. Almost all studies reported a significant relationship between the UOP1 and DGF. All studies agreed that the UOP1 is a sensitive predictive factor in predicting DGF. The specificity reported by the studies examined in this review varied greatly. The use of optimum cut-off in each study is considered to be the cause of this variability. Conclusions: The UOP1 is significantly related to the incidence of DGF and is a proper parameter for the prediction of DGF events.

Comparison of Z-Factor Correlations Using a Large PVT Dataset with Emphasis on the GERG-2008 EOS

The gas compressibility factor is an important property in reservoir simulation studies. It is directly linked to the gas formation volume factor and the gas density thereby impacting wellhead injection pressure, reservoir voidage, injectivity, as well as the tendency for gas gravity override to occur in the reservoir. ADNOC's PVT database contains experiments on almost 2,000 samples, of which more than 100 have been subject to advanced gas injection experiments. Z-factor data have been compiled from the liberated gas during DV experiments as well as from CCE experiments on reservoir gases, injection gases, and swollen fluid mixtures. Several of these mixtures are very rich in H2S, whereas pressure and temperature are in the range of 14.7-14,500 psia and 80-365 °F, respectively. We test several different methods for predicting the Z-factor, such as the industry-standard Hall-Yarborough method, in combination with various models for pseudo-critical pressure and temperature and including correction for non-hydrocarbon components. Other methods tested include the GERG-2008 model, considered to be state-of-the-art for predicting physical properties for well-described gas mixtures, as well as the well-known Peng-Robinson cubic equation of state. Based on close to 10,000 data points in our database, the GERG-2008 model typically predicts the Z-factor to be within 2% of the measured value, which is on par with the experimental uncertainty. However, for some rich gas condensate mixtures, the model gives larger errors because its parameters are only tuned to compositions with components up to C10. This is to our knowledge the first time that the GERG-2008 EOS has been compared to standard Z-factor correlations for such a large number of data points. If compositional information is available, we recommend using either the GERG-2008 model or the Hall-Yarborough model with pseudo-critical properties provided by Kay (1936). When compositions are not available, we find that the Standing correlation is more accurate than the Sutton model, also for sour mixtures.

Pauli Radius of the Proton

Using a procedure based on interpolation via continued fractions supplemented by statistical sampling, we analyze proton magnetic form factor data obtained via electron+proton scattering on Q 2 ∈ [0.027, 0.55] GeV2 with the goal of determining the proton magnetic radius. The approach avoids assumptions about the function form used for data interpolation and ensuing extrapolation onto Q 2 ≃ 0 for extraction of the form factor slope. In this way, we find r M = 0.817(27) fm. Regarding the difference between proton electric and magnetic radii calculated in this way, extant data are seen to be compatible with the possibility that the slopes of the proton Dirac and Pauli form factors, F 1,2(Q 2), are not truly independent observables; to wit, the difference F ′ 1 ( 0 ) − F ′ 2 ( 0 ) / κ p = [ 1 + κ p ] / [ 4 m p 2 ] , viz., the proton Foldy term.

Analysis of internal factors affecting the health condition of mangrove forests in the coastal area of East Lampung Regency

The surrounding community widely uses mangrove forests as a fulfillment of life. This requires an efforts to preserve the mangrove forest so that no damage occurs. This study aimed to determine the internal factors that affect the health condition of mangrove forests. The research method used to obtain internal factor data is by measuring the ecological indicators of forest health using the Forest Health Monitoring (FHM) method, then the data is processed by the Multiple Regression Analysis method using SPSS 20 through data on internal factors of mangrove forest health which are analyzed for their effect on health conditions of the mangrove forest. The results showed that the significant value of the regression was 0.008 ((α = 0.05) > 0.008), this means that simultaneously the independent variables (tree damage, crown damage, Cation Exchange Capacity-CEC, and biodiversity have an effect on the dependent variable (mangrove forest health) at the level of = 5%. Furthermore, through individual regression coefficients from internal factor data, it is found that the internal factors of biodiversity indicators in measurements 1 and 2 and crown conditions in the second measurement do not affect forest health conditions. Therefore, this research concludes that the internal factors that affect the level of forest health in the first measurement are vitality indicators (tree damage/cluster Plot Index-CLI and crown condition) and site quality indicators (CEC). Meanwhile, in the second measurement, there was a change in the crown condition parameters, which did not significantly affect forest health.

Approach of the annual erosivity in North Chile

The Norte Grande of Chile (17°S-29°S) features arid regions, where rainfall is generally convective with high spatial and temporal variability, which is the cause of floods with large amounts of sediments due to water erosion. The most relevant factor in erosive processes in arid regions is erosivity, which can be quantified by the RUSLE R-factor, but precipitation data are required every 30 minutes, however, these records are limited. The ones that are available are not enough to characterize it spatially. Consequently, the objective of this study is to evaluate regression models of the annual erosivity using rainfall aggressiveness indices as an explanatory variable, with the aim of analyzing the spatial behavior of erosion. Correlations were made between the maximum intensity in 30 minutes (I30) to the maximum intensity in one hour (I60), which were useful for calculating the R-factor for stations with hourly data by applying a correction factor to I60 determined by the correlations. Four regression models were established for each of the six aggressiveness indices and a relationship was selected through validation, using stations with few years of continuous recording. The selected equation allowed generating 103 spatially distributed erositivy-values, which served to make a subsequent co-kriging, in order to make a spatial analysis of rainfall erosivity. Results showed that there are under-estimations of I30, however, they are considered acceptable due to the efficiency obtained (Nash-Sutcliffe = 0.787). The calculated R-factor data-points allowed selection of the best-fit potential equation, which uses the mean annual rainfall as a predictor

Ethical Consumerism and its effect on Purchase Decision: Evidence from Fashion Industry of Pakistan

In recent years, customer’s increasing awareness of ethical consumption has become increasingly important for the business environment and one’s lifestyle. Although it is observed that consumers are influenced by their ethical concerns but ethical consumptions lack from a consumer perspective. The theoretical framework of the paper portrays the multifaceted and complex ratio of the concepts of ethical consumption and the complexities that exist in the relationship between purchase influence and consumption in general. The study took a quantitative approach to find out how consumer purchase decision is affected by four antecedents namely, Ethical Knowledge, Environmental Concern, Personal Values, and Price Factor. Data was collected through a self-developed questionnaire and distributed among 200 respondents in Karachi, Pakistan. Multiple regression was applied through SPSS in the data. The results of the study show that all other variables show a significant effect on purchase decision except Ethical Knowledge. Therefore, it implies consumers are uncertain about which products and firms follow ethical rules and which do not. This study has theoretical and practical contributions in the fashion industry context. This research might encourage fashion brands to willfully take on green exercises and give strategic guidelines to advertisers and retailers about their sustainable retail practices.

Molecular markers of risk of subsequent invasive breast cancer in women with ductal carcinoma in situ: protocol for a population-based cohort study

IntroductionDuctal carcinoma in situ (DCIS) of the breast is a non-obligate precursor of invasive breast cancer (IBC). Many DCIS patients are either undertreated or overtreated. The overarching goal of the study described here is to facilitate detection of patients with DCIS at risk of IBC development. Here, we propose to use risk factor data and formalin-fixed paraffin-embedded (FFPE) DCIS tissue from a large, ethnically diverse, population-based cohort of 8175 women with a first diagnosis of DCIS and followed for subsequent IBC to: identify/validate miRNA expression changes in DCIS tissue associated with risk of subsequent IBC; evaluate ipsilateral IBC risk in association with two previously identified marker sets (triple immunopositivity for p16, COX-2, Ki67; Oncotype DX Breast DCIS score); examine the association of risk factor data with IBC risk.Methods and analysisWe are conducting a series of case–control studies nested within the cohort. Cases are women with DCIS who developed subsequent IBC; controls (2/case) are matched to cases on calendar year of and age at DCIS diagnosis. We project 485 cases/970 controls in the aim focused on risk factors. We estimate obtaining FFPE tissue for 320 cases/640 controls for the aim focused on miRNAs; of these, 173 cases/346 controls will be included in the aim focused on p16, COX-2 and Ki67 immunopositivity, and of the latter, 156 case–control pairs will be included in the aim focused on the Oncotype DX Breast DCIS score®. Multivariate conditional logistic regression will be used for statistical analyses.Ethics and disseminationEthics approval was obtained from the Institutional Review Boards of Albert Einstein College of Medicine (IRB 2014-3611), Kaiser Permanente Colorado, Kaiser Permanente Hawaii, Henry Ford Health System, Mayo Clinic, Marshfield Clinic Research Institute and Hackensack Meridian Health, and from Lifespan Research Protection Office. The study results will be presented at meetings and published in peer-reviewed journals.

Ensuring of the safety of internal affairs bodies during professional psychological selection for service using printing devices

the article discloses the main results of the study, describing the dependence of the presence of risk factors on the personal characteristics of candidates for service in the internal affairs bodies in the process of conducting a special psychophysiological study using a polygraph. The main conclusions in this study were obtained using comparative, qualitative, correlation and frequency analyses, which is confirmed by the existence of numerous relationships of personal characteristics, according to which the presence or absence of risk factors can be predicted. This empirical study has made it possible to draw up a table of the distribution of specific gravity and a formula according to which an employee working with printing devices can calculate the probability of identifying a risk factor in each candidate for service in the internal affairs bodies on the basis of a psychological examination. The obtained data on the results of the methods used, describing various aspects of the external manifestations of a person, were presented by groups, in matrix form and analyzed by a number of indicators such as: the risk factor was not identified, the risk factor was identified, and in groups where the result was not determined, but there is a suspicion of the presence of a risk factor. Data were compared with intergroup measures of personality traits. Analysis of personality characteristics showed that in a sample of candidates for service, the most important of the suitability markers correlate with personal features. An employee working with printing devices at the stage of familiarization with the candidate's questionnaire, analyzing his personal and business qualities, can predict, with a high degree of probability, the identification of risk factors, even before the start of the study using a polygraph, or the manifestation of various kinds of opposition, in order to hide the identification of risk factors. The use of this formula by psychologists and polygraphologists in professional psychological selection greatly contributes to ensuring the safety of internal affairs bodies at the stage of personnel screening, which is aimed at detecting and preventing emergency incidents among the personnel of internal affairs bodies and occupies a decisive role in forming a positive image of the Ministry of Internal Affairs.

Impact of Climate Variability and Incidence on Dengue Hemorrhagic Fever in Palembang City, South Sumatra, Indonesia

Dengue hemorrhagic fever (DHF) is a dengue virus infection transmitted by Aedes spp. Climate has a profound influence on mosquito breeding. Palembang has the highest rate of DHF in South Sumatra. This study aimed to investigate the relationship between the components of climate factors and the incidence of DHF in Palembang. This study was cross-sectional, with an observational analytic approach. The Palembang City Health Office compiled data on DHF incidence rates from 2016 to 2020. Climatic factor data (rainfall, number of rainy days, temperature, humidity, wind speed, sun irradiance) were collected from the Climatology Station Class I Palembang - BMKG Station and Task Force that same year. The Spearman test was used to conduct the correlation test. Between 2016 and 2020, there were 3,398 DHF patients. From January to May, DHF increased. There was a significant correlation between rainfall (r = 0.320; p = 0.005), number of rainy days (r = 0.295; p = 0.020), temperature (r = 0.371; p = 0.040), and humidity (r = 0.221; p = 0.024), wind speed (r= 0.76; p = 0.492), and sunlight (r = 0.008; p = 0.865). Rainfall, the number of rainy days, and temperature were three climatic factors determining the increase in dengue incidence in Palembang.

EVALUASI FAKTOR HAMBATAN SAMPING PADA PENENTUAN KAPASITAS JALAN STUDI KASUS: JALAN GATOT SUBROTO

Overcrowding often occurs in DKI Jakarta, especially on Jalan Gatot Subroto. This location is one of the biggest business centers in Jakarta. Roadside activities that impede traffic flow are called side friction. Side friction is an impact on traffic performance resulting from road segment activities. Highway capacity is also influential. That happens because the available highway capacity is no longer able to accommodate the increasing traffic flow. Therefore, research was conducted. To calculate the highway capacity, observations were made to see the number of vehicles. It takes the perception of side frictions using questionnaire data. Questionnaire data collected 100 respondents. So, the results show that section is in the VL (Very Low) side obstacle class, which occurs in the morning while the L (Low) side obstacle class occurs in the afternoon and evening. The results estimation of the side drag factor data shows that the volume is greater than the highway capacity. The correlation between observation data and questionnaire results vehicles parked or stopped on the side of the road and vehicles from roadside access have a sequential weight order, while pedestrians and non-motorized vehicles have non-sequential weights. Further research to expand the questionnaire and get more precise results. ABSTRAKKepadatan sering terjadi di DKI Jakarta khususnya di Jalan Gatot Subroto. Lokasi ini salah satu pusat bisnis terbesar di Jakarta. Aktivitas sisi jalan dapat menghambat arus lalu lintas disebut hambatan samping. Hambatan samping merupakan dampak terhadap kinerja lalu lintas yang dihasilkan dari aktivitas segmen jalan. Selain itu, kapasitas jalan juga berpengaruh. Hal ini terjadi karena kapasitas jalan yang tersedia sudah tidak mampu untuk menampung arus lalu lintas yang semakin tertambah kepadatannya. Oleh karena itu dilakukan penelitian. Untuk menghitung kapasitas jalan, dilakukan observasi untuk melihat jumlah kendaraan. Selain itu, dibutuhkan persepsi hambatan samping menggunakan data kuesioner. Data kuesioner terkumpul sebanyak 100 responden. Maka, hasil menunjukan ruas Jalan Gatot Subroto berada di kelas hambatan samping VL (Very Low) terjadi di waktu pagi hari sedangkan kelas hambatan samping L (Low) terjadi di waktu siang dan sore hari. Hasil dari estimasi faktor hambatan samping data menunjukan volume lebih besar daripada kapasitas jalan. Korelasi anatra data observasi dengan hasil kuesioner menunjukan bahwa kendaraan parkir atau berhenti di sisi jalan dan kendaraan dari akses sisi jalan memiliki urutan bobot yang berurutan sedangkan untuk pejalan kaki dan kendaraan tidak bermotor memiliki bobot yang tidak berurutan. Penelitian selanjutnya, diharapkan dapat memperluas kuesioner dan mendapatkan hasil yang lebih tepat.