209 research outputs found
A Comparative Clinical Study on Phalatrikadi Kwata and Darvyadi Kwatha in the management of Kamala w.s.r. to Jaundice
Background: Jaundice (Kamala) is a yellowish pigmentation of the skin, the conjunctival membranes over the sclera (whitish of the eyes), and other mucous membranes caused by hyperbilirubinemia (increased levels of bilirubin in the blood). Today’s lifestyle with unhygienic and poor dietary habits and alcoholic habits etc. are responsible factors to promote hepatic damage which clinically reflects as Kamala Roga. The incidence of such causes resulting in Jaundice. In India it is 2.37-3.15 per 1000 population. The effect of Ayurvedic treatment was assessed in relation to improvement in overall clinical signs and symptoms. Objectives: To evaluate the effect of Phalatrikaadi Kwatha and Darvyadi Kwatha in Kamala Roga. Methodology: A comparative clinical study was conducted on Kamala for period of 15 days. The patients were divided into 2 groups. In Group A 20 patients were administered with Phalatrikadi Kwatha internally and in Group B 20 patients were administered with Darvyadi Kwatha internally. Results: Group A and Group B have shown statistically significant result. Group B treated with Darvyadi Kwatha showed better result compared with Group B treated with Phalatrikadi Kwatha
Studying the chronic effects of silver nanoparticles on survival, growth rate and reproductive traits of Urmia Lake Artemia (Artemia urmiana)
The application and environmental hazards of nanotechnology to aquatic species are increasingly growing. To address the issue, the present study was designed and carried out to elucidate the toxic effects of silver nanoparticles on growth, survival and reproductive traits of Artemia urmiana. The experiment consisted of five treatments, namely control group and those exposed to 0.001, 0.01, 0.1 and 1 mgl-1 silver nanoparticles, with four respective replicates. To do so, 500 newly hatched nauplii were counted and transferred to 1 liter containers exposing to various concentrations of the silver nanoparticles. Microalgae Dunaliella tertiolecta and zymogenic was used to feed Artemia. Growth and survival rates were recorded on days 8, 11, 17, 20 and 23. After sexual maturation, Artemia were transferred to a new environment free from nanoparticles and their reproductive traits were studied. Results showed that higher concentrations of silver nanoparticles led to lower survival rate and augmented growth rate of Artemia (p<0.05). Regarding reproductive traits, group exposed to 1mgl-1 silver nanoparticles showed the lowest total offspring, offspring per day, offspring per brood and life span (p<0.05). In conclusion, the discharge of silver nanoparticles even at lower concentrations would undesirably influence reproductive cycle of A. urmiana and result in lower survival and reproductive performance of the animal
How to Make an Outlier? Studying the Effect of Presentational Features on the Outlierness of Items in Product Search Results
In two-sided marketplaces, items compete for attention from users since attention translates to revenue for suppliers. Item exposure is an indication of the amount of attention that items receive from users in a ranking. It can be influenced by factors like position bias. Recent work suggests that another phenomenon related to inter-item dependencies may also affect item exposure, viz. outlier items in the ranking. Hence, a deeper understanding of outlier items is crucial to determining an item's exposure distribution. In this work, we study the impact of different presentational e-commerce features on users' perception of outlierness of an item in a search result page. Informed by visual search literature, we design a set of crowdsourcing tasks where we compare the observability of three main features, viz. price, star rating, and discount tag. We find that various factors affect item outlierness, namely, visual complexity (e.g., shape, color), discriminative item features, and value range. In particular, we observe that a distinctive visual feature such as a colored discount tag can attract users' attention much easier than a high price difference, simply because of visual characteristics that are easier to spot. Moreover, we see that the magnitude of deviations in all features affects the task complexity, such that when the similarity between outlier and non-outlier items increases, the task becomes more difficult.</p
On the Impact of Outlier Bias on User Clicks
User interaction data is an important source of supervision in counterfactual learning to rank (CLTR). Such data suffers from presentation bias. Much work in unbiased learning to rank (ULTR) focuses on position bias, i.e., items at higher ranks are more likely to be examined and clicked. Inter-item dependencies also influence examination probabilities, with outlier items in a ranking as an important example. Outliers are defined as items that observably deviate from the rest and therefore stand out in the ranking. In this paper, we identify and introduce the bias brought about by outlier items: users tend to click more on outlier items and their close neighbors. To this end, we first conduct a controlled experiment to study the effect of outliers on user clicks. Next, to examine whether the findings from our controlled experiment generalize to naturalistic situations, we explore real-world click logs from an e-commerce platform. We show that, in both scenarios, users tend to click significantly more on outlier items than on non-outlier items in the same rankings. We show that this tendency holds for all positions, i.e., for any specific position, an item receives more interactions when presented as an outlier as opposed to a non-outlier item. We conclude from our analysis that the effect of outliers on clicks is a type of bias that should be addressed in ULTR. We therefore propose an outlier-aware click model that accounts for both outlier and position bias, called outlier-aware position-based model (OPBM). We estimate click propensities based on OPBM; through extensive experiments performed on both real-world e-commerce data and semi-synthetic data, we verify the effectiveness of our outlier-aware click model. Our results show the superiority of OPBM against baselines in terms of ranking performance and true relevance estimation.</p
Relationship between urbanization and cancer incidence in Iran using quantile regression
Quantile regression is an efficient method for predicting and estimating the relationship between explanatory variables and percentile points of the response distribution, particularly for extreme percentiles of the distribution. To study the relationship between urbanization and cancer morbidity, we here applied quantile regression. This cross-sectional study was conducted for 9 cancers in 345 cities in 2007 in Iran. Data were obtained from the Ministry of Health and Medical Education and the relationship between urbanization and cancer morbidity was investigated using quantile regression and least square regression. Fitting models were compared using AIC criteria. R (3.0.1) software and the Quantreg package were used for statistical analysis. With the quantile regression model all percentiles for breast, colorectal, prostate, lung and pancreas cancers demonstrated increasing incidence rate with urbanization. The maximum increase for breast cancer was in the 90th percentile (β=0.13, p-value < 0.001), for colorectal cancer was in the 75th percentile (β=0.048, p-value < 0.001), for prostate cancer the 95th percentile (β=0.55, p-value < 0.001), for lung cancer was in 95th percentile (β=0.52, p-value=0.006), for pancreas cancer was in 10th percentile (β=0.011, p-value < 0.001). For gastric, esophageal and skin cancers, with increasing urbanization, the incidence rate was decreased. The maximum decrease for gastric cancer was in the 90th percentile(β=0.003, p-value < 0.001), for esophageal cancer the 95th (β=0.04, p-value=0.4) and for skin cancer also the 95th (β=0.145, p-value=0.071). The AIC showed that for upper percentiles, the fitting of quantile regression was better than least square regression. According to the results of this study, the significant impact of urbanization on cancer morbidity requirs more effort and planning by policymakers and administrators in order to reduce risk factors such as pollution in urban areas and ensure proper nutrition recommendations are made. © 2016, Asian Pacific Journal of Cancer Prevention
Estimating the esophagus cancer incidence rate in Ardabil, Iran: A capture-recapture method
Background: Accurate cancer registry and awareness of cancer incidence rate is essential in order to define strategies for cancer prevention and control programs. Capture-recapture methods have been recommended for reducing bias and increase the accuracy of cancer incidence estimation. Objectives: This study aimed to estimate the esophagus cancer incidence by capture-recapture method based on Ardabil population-based cancer registry data. Patients and Methods: Total new cases of esophagus cancer reported by three sources of pathology reports, medical records, and death certificates to Ardabil province cancer registry center in 2006 and 2008 were enrolled in the study. All duplicated cases between three sources were identified and removed using Excel software. Some characteristics such as name, surname, father�s name, date of birth and ICD codes related to their cancer type were used for data linkage and finding the common cases among three sources. The incidence rate per 100,000 was estimated based on capture-recapture method using the log-linear models. We used BIC, G2 and AIC statistics to select the best-fit model. Results: After removing duplicates, total 471 new cases of esophagus cancer were reported from three sources. The model with linkage between pathology reports, medical record sources and independence with the death certificates source was the best fitted model. The reported incidence rate for the years 2006 and 2008 was 18.77 and 18.51 per 100,000, respectively. In log-linear analysis, the estimated incidence rate for the years 2006 and 2008 was 49.71 and 53.87 per 100,000 populations, respectively. Conclusions: Based on the obtained results, it can be concluded that none of the sources of pathology reports, death certificates and medical records individually or collectively were fully covered the incidence cases of esophagus cancer and need to apply some changes in data abstracting and case finding. © 2016, Iranian Journal of Cancer Prevention
Parasitic helminth infections of dogs, wolves, foxes, and golden jackals in Mazandaran Province, North of Iran
Background and Aim: There is a large amount of information on intestinal parasites in stray dogs and golden jackals (Canis aureus) in Mazandaran Province, Iran. However, there is little information about foxes and wolves, which have a potential role in the spread of dangerous parasitic diseases, such as echinococcosis and toxocariasis. The aim of the present study was to identify the genus or species of parasitic worms in stool samples obtained from carnivores in Mazandaran Province, Iran, from August 2017 to April 2018. Materials and Methods: A total of 274 fecal samples were collected from carnivores, including dog, fox, wolf, and C. aureus in three areas of Mazandaran Province, Iran. All specimens were examined by centrifugal fecal flotation using a solution of Sheather's sugar to detect helminths eggs. Then, all samples were assessed using a light microscope. Data analysis was performed by SPSS version 18 (Chicago, IL, USA). Results: In this study, seven genera of helminths were observed, including Ancylostoma, Uncinaria, Toxocara, Dipylidium, Toxascaris, Taenia, and Spirocerca. The prevalence of helminth infections was 97.7 (127 out of 130), 56.7 (51 out of 90), 51.4 (18 out of 35), and 52.6 (10 out of 19), among dogs, C. aureus, foxes, and wolves, respectively. The highest prevalence of Ancylostoma and Toxocara infections occurred in the eastern and central areas of the province (42.1 and 35.7, respectively). Conclusion: Based on the results of this study, the infection with intestinal zoonotic helminths in carnivores was an important public health factor in Mazandaran. Therefore, these infections can be potentially harmful to humans and other animals. Copyright © 2020 Siyadatpanah, et al
Characterization and history of arterial hypertension leading to inpatient treatment
BACKGROUND AND AIMS: Arterial hypertension is a major cause of death worldwide. For the most part, treatment for hypertension can be performed on an outpatient basis. However, some patients also require inpatient treatment, and the contributing factors for this remain unknown. Therefore, the primary objective of the present study was to determine which patient characteristics are associated with inpatient treatment for arterial hypertension. METHODS: Here, we conducted a mono-centric study of 103 hypertensive subjects, who were treated as inpatients in the Department of Nephrology and rheumatology of the university medical faculty of Göttingen. Therapies were not altered, and data collection was performed retrospectively. In addition to epidemiological information, the following data were recorded: patient symptoms, blood pressure (BP), anti-hypertensive therapy, and concomitant diseases (e.g., renal and cardiovascular conditions). RESULTS: Approximately half (53 %) of all subjects treated on an inpatient basis displayed elevated BP (>140/90 mmHg), while the remaining 47 % of patients showed normotensive readings (<140/90 mmHg) following admission. Moreover, 34 % of patients could be classified as therapy refractory. The main reasons for hospital admission were hypertension-related symptoms, including shortness of breath, dizziness, and headache (69 %). These patients were multi-morbid, with approximately 60 % displaying a secondary form of hypertension. Indeed, over half of the subjects showed renoparenchymatous forms of hypertension, and a large percentage of patients received hypertension-inducing drugs (32 %). Moreover, a high proportion of inpatients were treated with reserve antihypertensives, with the most commonly used drug being Moxonidin. CONCLUSION: The majority of hypertensive patients were hospitalized due to their clinical symptoms and not as a result of BP values alone. The high proportion of patients with secondary forms of hypertension or treated with BP-boosting medications was striking
Liquid Marble Actuator for Microfluidic Logic Systems
© 2018, The Author(s). A mechanical flip-flop actuator has been developed that allows for the facile re-routing and distribution of liquid marbles (LMs) in digital microfluidic devices. Shaped loosely like a triangle, the actuating switch pivots from one bistable position to another, being actuated by the very low mass and momentum of a LM rolling under gravity (~4 × 10 −6 kg ms −1 ). The actuator was laser-cut from cast acrylic, held on a PTFE coated pivot, and used a PTFE washer. Due to the rocking motion of the switch, sequential LMs are distributed along different channels, allowing for sequential LMs to traverse parallel paths. This distributing effect can be easily cascaded, for example to evenly divide sequential LMs down four different paths. This lightweight, cheap and versatile actuator has been demonstrated in the design and construction of a LM-operated mechanical multiplication device — establishing its effectiveness. The actuator can be operated solely by gravity, giving it potential use in point-of-care devices in low resource areas
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