Cloud Computing Systems Exploration over Workload Prediction Factor in Distributed Applications

This paper highlights the different techniques of workload prediction in cloud computing. Cloud computing resources have a special kind of arrangement in which resources are made available on demand to the customers. Today, most of the organizations are using cloud computing that results in reduction of the operational cost. Cloud computing also reduces the overhead of any organization due to implementation of many hardware and software platforms. These services are being provided by cloud provider on the basis of pay per use. There are lots of cloud service providers in the modern era. In this competitive era, every cloud provider works to provide better services to the customer. To fulfill the customer?s requirements, dynamic provisioning can serve the purpose in cloud system where resources can be released and allocated on later stage as per needs. That?s why resource scaling becomes a great challenge for the cloud providers. There are many approaches to scale the number of instances of any resource. Two main approaches namely: proactive and reactive are used in cloud systems. Reactive approach reacts at later stage while proactive approach predicts resources in advance. Cloud provider needs to predict the number of resources in advance that an application is intended to use. Historical data and patterns can be used for the workload prediction. The benefit of the proactive approach lies in advance number of instances of a resource available for the future use. This results in improved performance for the cloud systems

Prediction of the structural and electronic properties of MoxTi1−xS2 monolayers via first principle simulations

Two-dimensional transition metal dichalcogenides have gained great attention because of their peculiar physical properties that make them interesting for a wide range of applications. Lately, alloying between different transition metal dichalcogenides has been proposed as an approach to control two-dimensional phase stability and to obtain compounds with tailored characteristics. In this theoretical study, we predict the phase diagram and the electronic properties of MoxTi1−xS2 at varying stoichiometry and show how the material is metallic, when titanium is the predominant species, while it behaves as a p-doped semiconductor, when approaching pure MoS2 composition. Correspondingly, the thermodynamically most stable phase switches from the tetragonal to the hexagonal one. Further, we present an example which shows how the proposed alloys can be used to obtain new vertical two-dimensional heterostructures achieving effective electron/hole separation

Auditing Gender Analyzers on Text Data

AI models have become extremely popular and accessible to the general public. However, they are continuously under the scanner due to their demonstrable biases toward various sections of the society like people of color and non-binary people. In this study, we audit three existing gender analyzers -- uClassify, Readable and HackerFactor, for biases against non-binary individuals. These tools are designed to predict only the cisgender binary labels, which leads to discrimination against non-binary members of the society. We curate two datasets -- Reddit comments (660k) and, Tumblr posts (2.05M) and our experimental evaluation shows that the tools are highly inaccurate with the overall accuracy being ~50% on all platforms. Predictions for non-binary comments on all platforms are mostly female, thus propagating the societal bias that non-binary individuals are effeminate. To address this, we fine-tune a BERT multi-label classifier on the two datasets in multiple combinations, observe an overall performance of ~77% on the most realistically deployable setting and a surprisingly higher performance of 90% for the non-binary class. We also audit ChatGPT using zero-shot prompts on a small dataset (due to high pricing) and observe an average accuracy of 58% for Reddit and Tumblr combined (with overall better results for Reddit). Thus, we show that existing systems, including highly advanced ones like ChatGPT are biased, and need better audits and moderation and, that such societal biases can be addressed and alleviated through simple off-the-shelf models like BERT trained on more gender inclusive datasets.Comment: This work has been accepted at IEEE/ACM ASONAM 2023. Please cite the version appearing in the ASONAM proceeding

Evaluation of appropriateness of packed red blood cell and fresh frozen plasma transfusion in post-surgical adult patients admitted in ICU and its outcome: a retrospective study in a tertiary care hospital

Background: The objective of this study was to evaluate appropriateness of packed red blood cell (PRBC) and fresh frozen plasma transfusion (FFP) in post-surgical adult patients admitted in ICU and its outcome. Methods: A total number of 800 ICU adult patients were enrolled. Out of these 600 patients received PRBC transfusion and 200 received FFP transfusions. Transfusion pattern was analyzed with respect to the number of units transfused, pre and post transfusion hemoglobin levels and coagulation profile. The outcome was measured in terms of mortality, morbidity and length of ICU stay. Transfusions were categorized into appropriate and inappropriate based on transfusion triggers used as per BSH guidelines (British Society for Hematology). The SPSS software was used for analyses. Results: Out of six hundred, 384 were those with appropriate red cell transfusion. In the appropriate transfusion group, majority i.e. 167 (43.49%) underwent more units of PRBC transfusion. The mean duration of mechanical ventilation in appropriate group was 7.43±4.1 days and in inappropriate group was 5.95±3.34 days. (p<0.05). There was significant association found between the high mortality and appropriateness of blood transfusion. Out of 200, One hundred and thirty-seven (137) were those with appropriate FFP transfusion. Majority of the patients underwent two units of FFP transfusion (47%). The mean change in aPTT and INR was comparable in both the groups (p>0.05). Conclusions: Analysis of appropriateness of transfusion according to BSH guidelines shows a high rate of irrational transfusions in Indian subjects. Further studies including large sample size are needed in this context.

Studies on variability, heritability and genetic advance for yield and yield contributing characters in french bean (Phaseolus vulgaris L.) germplasm under tarai region of Uttarakhand

Seventy four French bean germplasms were evaluated for twenty two quantitative traits to study the genetic variability, heritability and genetic advance during Jan-Feb in G.B. Pant University of Agriculture and Technology, Pantnagar. Significant differences were observed among all genotypes. Higher genotypic and phenotypic coefficient of variability were observed for plant height, seed yield per plant, pod yield per plant, pod yield per hectare, number of pods per cluster, number of pods per plant and 100 seed weight (42.45% and 43.30%, 39.72% and 42.34%, 27.59% and 32.12%, 27.59% and 32.12%, 25.01% and 28.14%, 24.56% and 26.76% and 22.65% and 22.96% respectively). High heritability coupled with high genetic advance over mean were observed for plant height, seed yield per plant, pod yield per plant, pod yield per hectare, number of pods per plant, 100 seed weight, number of pods per cluster, leaf length, single pod weight, pod diameter, pod length, number of pod clusters per plant, leaf width, seed length, number of seeds per pod and seed width (96.34% and 85.73%, 88.03% and 76.77%, 73.80% and 48.83%, 73.80% and 48.83%, 84.20% and 46.42%, 97.34% and 46.04%, 45.78% and 78.96%, 38.88% and 89.58%, 38.21% and 92.70%, 92.69% and 35.45%, 90.13% and 34.48%, 32.47% and 79.39%, 28.03% and 79.60%, 26.92% and 99.04%, 56.27% and 24.85%, and 97.82% and 24.01% respectively) indicate predominance additive gene action. Thus, there is ample scope for improving these characters through direct selection

IN VITRO ANTIINFLAMMATORY ACTIVITY OF JUGLANS REGIA BARK

To evaluate the anti-inflammatory property of the different extract of bark of Juglans regia, family Juglandaceae is a deciduous tree. Its fruits are consumed as food, which are rich in unsaturated fatty acids. Walnut leaf has been widely used in traditional medicine for the treatment of skin inflammations and ulcers and for its antidiarrheic, antihelmintic, antiseptic and astringent properties. The present study aimed at the evaluation of anti-inflammatory property of the aqueous, chloroform and alcoholic extracts of the bark by in vitro methods. In vitro method was estimated by human red blood cell membrane stabilization (HRBC) method. Results showed significant anti-inflammatory property of the different extracts tested. The aqueous extract at a concentration of 200 mg/ml. showed potent activity on comparing with the standard drug diclofenac sodium. Key words: Juglans regia, HRBC, Inflammation and dicloenac.Â

DISCRIMINATION OF ENGLISH TO OTHER INDIAN LANGUAGES (KANNADA AND HINDI) FOR OCR SYSTEM

ABSTRACT India is a multilingual multi-script country. In every state of India there are two languages one i

Coexistence of carcinoma cheek with tuberculosis: a rarity

Coexistence of tuberculosis and cheek malignancy is a rare phenomenon and it has never been reported to the best of our knowledge. Here, we present a case of carcinoma cheek with tuberculosis in a 50 year old male patient who was successfully managed by multimodality approach by combining anti-tubercular therapy with chemotherapy and radiotherapy