Miracle-dz/UniFAR-FTUs huggingface dataset:
Abstract 2321: Ibrutinib enhances antitumor activity in solid tumors when combined with checkpoint inhibitors

Introduction: Anti-CTLA-4 antibodies enhance antitumor immunity by activating antigen-specific cytotoxic T lymphocytes and depleting suppressive regulatory T cells (Treg) from the tumor microenvironment. Anti-PD-L1 or anti-PD-1 blocks negative regulators of T-cell activation and response, facilitating immune-mediated antitumor activity. These therapeutic antitumor approaches via immune checkpoint blockade may be enhanced by ibrutinib (ibr), a first-in-class oral inhibitor of Bruton9s tyrosine kinase (BTK) and interleukin-2-inducible T-cell kinase (ITK). A previous study suggested ibr may alter the Th1/Th2 T-cell balance by inactivating ITK and potentially enhancing antitumor immune responses in solid tumor models, including those that do not express BTK (Sagiv-Barfi. PNAS. 2015). Here we report the combined effects of ibr and CTLA-4/PD-1/PD-L1 blockade in a panel of established syngeneic solid tumor models. Methods: Immunocompetent mice with matched genetic background were inoculated subcutaneously in the right front flank with syngeneic tumor cells. Treatment began when mean tumor size reached approximately 70-100 mm3. Tumor growth inhibition (TGI) and tumor growth delay (TGD) were the study endpoints. The mean and the standard error of the mean for each group were calculated at each time point. Statistical analysis of independent sample t-tests and one-way ANOVA were used for comparisons between and among groups. Potential synergistic effects between treatments were analyzed by two-way ANOVA. Tumor and blood samples were collected for immunologic analysis at the tumor site or in peripheral compartments by flow cytometry. Results: Treatment with ibr alone resulted in ∼15%-50% TGI across various syngeneic subcutaneous mice models, including MBT-2 (bladder cancer), MC38 (colorectal cancer), and Pan02 (pancreatic tumor), where BTK expression is not prevalent in the tumor lines and tumor cells are not sensitive to ibrutinib. Ibr in combination with checkpoint inhibitors demonstrated benefits in both TGI and TGD in the MC38 model. When ibr was combined with anti-CTLA-4 monoclonal antibody, complete regression of established MC38 tumors was observed. Conclusion: The efficacy observed with ibr treatment alone in solid tumor models lacking BTK expression suggests ibr can lead to immunomodulation by altering the tumor microenvironment. Additionally, synergistic growth suppression was observed when ibr was combined with checkpoint inhibitors. To further understand the mechanism of action associated with combination ibr immunotherapy in syngeneic models, immunophenotypical analyses of tumor tissues are under investigation. Citation Format: Jeff Hsu, Yujun Huang, Chun-Te Chen, Jun Chen, Mint Sirisawad, Betty Y. Chang. Ibrutinib enhances antitumor activity in solid tumors when combined with checkpoint inhibitors. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2321.
Survey On Computer Vision Based Assistive Device For The Blind And Visually Impaired

— The blind and visually impaired people needs assistance in their day-to-day life, for navigation, detecting objects, text recognition etc., Computer vision based assistive device for the blind is promising and efficient technology but still, the area is still a developing one. Various assistive device exist today to assist the blind most of which are still in prototypical stages. Purpose of this paper is to apprise the research and scientific community about the progress of computer vision based assistive technology for blind.
The Impact of Virtualization in Cloud Computing

--The Cloud computing offers dynamically scalable resources provisioned as a service over the Internet. It enables individuals and organization to use various services like software as a service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service(IaaS) over the Internet. Virtualization is the fundamental technology that powers cloud computing. Virtualization allows running multiple operating systems on a single physical system and sharing the underlying hardware resources. Virtualization is a key to building cloud based architectures because it allows greater flexibility and utilization of the underlying equipment. The purpose of this paper is to describe the impact of virtualization in cloud computing. This paper begins with a discussion on concepts and terminology of cloud computing and virtualization, then it describe the architecture of virtualization and its abstraction levels. This paper also includes some popular cloud services.
Review Paper on Low Power VLSI Design Techniques

: Low power has emerged as a principal theme in today’s world of electronics industries. Power dissipation has become an important consideration as performance and area for VLSI Chip design. With shrinking technology reducing power consumption and over all power management on chip are the key challenges below 100nm due to increased complexity. For many designs, optimization of power is important as timing due to the need to reduce package cost and extended battery life. For power management leakage current also plays an important role in low power VLSI designs. Leakage current is becoming an increasingly important fraction of the total power dissipation of integrated circuits. This paper describes about the various strategies, methodologies and power management techniques for low power circuits and systems. Future challenges that must be met to designs low power high performance circuits are also discussed .
Polyurethane foam as a synthetic topical hemostatic agent

Lokale hemostatica worden in alle chirurgische disciplines gebruikt en zijn in verschillende soorten en maten beschikbaar. De meeste hemostatica zijn geproduceerd op basis van dierlijke materialen als collageen en gelatine. Een nadeel van deze materialen is dat ze in natte toestand snel hun mechanische eigenschappen verliezen en mogelijk ziekten kunnen overbrengen van dier op mens. Een mogelijk synthetisch alternatief voor deze materialen zou biodegradeerbaar polyurethaan schuim (PU) met polyethyleenglycol (PEG) kunnen zijn. In verschillende onderzoeken werd bij proefpersonen en proefdieren aangetoond dat de hemostatische eigenschappen van PU met 55% PEG gelijkwaardig zijn aan die van collageen- en gelatine-hemostatica. Een studie naar de viscoelastische eigenschappen van het materiaal liet zien dat het PU met 55% PEG in natte toestand betere mechanische eigenschappen heeft dan collageen en gelatine. De degradatie van PU met 55% PEG werd gedurende drie jaar geanalyseerd in een implantatiestudie in ratten en konijnen. Hieruit bleek dat PU met 55% PEG biocompatibel is en na drie jaar volledig is gedegradeerd. Dit is echter aanmerkelijk langer dan de degradatietijden van gelatine en collageen. Uit deze onderzoeken werd geconcludeerd dat PU met 55% PEG een veelbelovend alternatief is voor collageen- en gelatine-hemostatica maar dat een kortere degradatietijd wenselijk is. Daarnaast is geevalueerd of het gebruik van anticoagulantia tijdens operatieve ingrepen in de mond, leidt tot een toename van het aantal nabloedingen. Hieruit bleek dat operatieve ingrepen in de mond veilig kunnen worden uitgevoerd bij patienten die anticoagulantia gebruiken, mits aan bepaalde voorwaarden is voldaan.
Efficient Configurable Crossbar Switch Design For Noc

:Network-on-Chip is an emerging paradigm for integrating very high number of Intellectual Property blocks on a single Integrated Chip. Crossbar switch is one of the important parts of NoC. In this paper, 2x1 MUX are used instead of existing crossbar design with 4x1 MUX, to meet the requirement of high speed networks. The proposed design reduces area by 40% and delay by 7.14 % as compared to 2-D cross bar switch as well as conventional crossbar switch. The functional verification and synthesis of proposed cross bar switch design is done by using Xilinx ISE 9.2i
Auto Storyboard Generation Using Web Search Log

— Social Events are responsible for the major percentage of web search traffic as shown by recent studies. This paper is a survey conducted for identifying the various event detection methods which are useful for event mining. While traditional Web sites can only show human-edited events, this Paper suggests a System which automatically detects events from search log data and generate a storyboard where the events are arranged along a timeline. Web search log is considered as a good data resource for event mining, since they reflect people’s interests directly and wide variety of real world events are covered in it. In order to discover events from log data, an approach known as Smooth Nonnegative Matrix Factorization framework (SNMF) is used. Moreover, time factor is considered as an important element for event detection as different events develop at different time. In addition, to provide a visually appealing storyboard, each event is mapped with a set of relevant images arranged along a timeline.
Review on Speech Enhancement Techniques

: Speech is most effective and natural medium to exchange the information among people. The speech system also goes under the process of some software tools to present the information in effective way. This kind of effectiveness is defined as the translation of the information to text or some other speech form. In speech communication, the speech signal is always accompanied by some noise. Therefore, speech enhancement is required and it not only involves processing speech signals for human listening but also for further processing prior to listening. Main objective of speech enhancement is to improve the perceptual aspects of speech such as overall quality, intelligibility, or degree of listener fatigue. In this paper, we present review of various speech enhancement techniques.
Performance Analysis of Frequent Itemsets Mining Algorithms and Association Rule Mining for Efficient Data Mining

- Mining frequent itemsets is the very crucial task to find the association rules between the various items. Investigations of Frequent Itemset (or pattern) Mining is recognized in the field of data mining in light of its expansive applications in mining association rules, connections, and graph pattern imperative in light of incessant patterns, successive patterns, and numerous other data mining assignments. Efficient algorithms for mining successive itemsets are critical for mining association guidelines and in addition for some other data mining tasks. The major challenge found in frequent pattern mining is a large number of result patterns. The problem of mining frequent itemsets arises in the large transactional databases when there is need to find the association rules. Various algorithms have been analyzed in this paper these different algorithms have strengths and weakness in different type of datasets. As a measure of execution for the most part the normal number of operations or the normal execution times of these algorithms have been examined.
Detection of Phishing Website Using Machine Learning

- Detection of Phishing website is an intelligent and effective model that is based on using classification or association Data Mining algorithms. These Algorithms were used to identify and characterize all rules and factors in order to classify the phishing website and relationship that correlate them with each other so we detect them by their performance, accuracy, number of rules generated and speed. Proposed system implements both algorithms which is Classification and Association that optimizes the system which is more efficient and faster than existing system. By using these two algorithms with WHOIS protocol the error rate of the existing system decreases by 30% so by using this method proposed system create an efficient way to detect the phishing website. Although there does not exist a system which can detect all the phishing website but using these methods it will create a most efficient way to detect the phishing website.
Isolation of E. Coli Bacteriophage from Raw Sewage and Comparing Its Antibacterial Effect with Ceftriaxone Antibiotic

Bacteriophages are viruses that can infect pathogenic bacteria, as they are highly host specific. We aimed to isolate the bacteriophage which infect Escherichia coli from a sample of raw sewage then compare it's anti-bacterial effect with ceftriaxone antibiotic. E. coli (ATCC 25922), Enterococcus faecalis (ATCC 19433), Staphylococcus aureus (ATCC 2392), and Yersinia enterocolitica (ATCC 9610) were prepared in order to determine the Bacteriophage host and whether it has any effect on other type of bacteria or not. Eight samples of raw sewage were prepared from a wastewater treatment plant. Sewage was mixed with BH Broth (brain, heart broth) in order to let the bacteria grow. Spectroscopy, Incubating, purification and injecting bacteria were followed repeatedly to isolate bacteriophage. The E. coli bacteriophage was successfully isolated which was completely able to lyses bacterial cells and it was clear that it is effective only on the E.coli. At the end 1.3×10^5 pfu bacteriophages in 1ml in invitro situations had the same result as 32μg/ml of Ceftriaxone antibiotic. The bacteriophage isolated in this work may be a good substitution of antibiotics in treating diseases caused by bacteria. They can also be used for reducing bacterial jams in water and waste water treatment plants.
Study on anthelmintic resistance in sheep flocks of Cuddalore district, Tamil nadu

Anthelmintic resistance against commonly used anthelmintics (ivermectin, levamisole, and fenbendazole) was studied in naturally occurring gastrointestinal (GI) nematodes in adult sheep flocks of Cuddalore district, Tamil Nadu by using Faecal egg count reduction tests (FECRT) and also to determine the efficiency of anthelminitics (fenbendazole, levamisole and ivermectin) used for treatment against nematode parasites. The results of the present study revealed high levels of anthelminitic resistance to Fenbendazole treated sheep flocks in Cuddalore district with the reduction of 50 89 per cent, whereas, a low resistant to Levamisole with the faecal egg reduction of 93 95 per cent. Ivermectin was found to be effective in controlling nematodes in all the sheep farms. The post-treatment (fenbendazole and levamisole) larval culture revealed the presence of Haemonchus contortus larvae. (
Cost-consequences analysis of natriuretic peptide assays to refute symptomatic heart failure in primary care

In primary care, the significant burden of heart failure is exacerbated by problematic, inaccurate diagnosis that may produce inefficient triaging of patients to echocardiography. UK guidelines recommend using natriuretic peptides in the diagnostic pathway. The costs and consequences of providing a definitive diagnosis for symptomatic heart failure have not been established for peptide testing in primary care. We provide a cost-consequence analysis to compare alternative diagnostic strategies for symptomatic heart failure patients presenting to their GP. Health economic evaluation using decision-tree modelling taking a cohort of patients presenting in primary care with symptomatic heart failure to a definitive diagnosis was performed. The model compared a diagnostic strategy using electrocardiograms (ECGs) interpreted by consultants with the use of B-type natriuretic peptide (BNP) assays. The base-case used data from the UK Natriuretic Peptide (UKNP) study, which used a 'point-of-care' assay. Two alternative scenarios were modelled reflecting data from key studies, as was sensitivity to costs. The model demonstrates that, for the base-case scenario, an initial diagnostic strategy of BNP is superior to ECG in terms of diagnosis of symptomatic heart failure in patients presenting in primary care, despite slightly more initial false negatives and a marginally higher cost. The alternative scenarios and sensitivity analyses show that the results are very sensitive to test accuracies and costs, but that, under plausible assumptions, BNP could be both cheaper and clinically superior. The model suggests that, despite parameter uncertainty, the adoption of BNP in primary care is likely to be clinically preferable, be more satisfactory for most patients, and lead to fewer unnecessary echocardiography referrals, at a very small increase in cost.
FREQUENCY OF STROKE ASSOCIATED PNEUMONIA IN STROKE PATIENTS

: Objective: To determine the frequency of stroke associated pneumonia in stroke patients. Methodology: A total of 100 diagnosed stroke cases between 30-70 years of age of either gender were included in the study from July 2017 to December 2017 during six months. We excluded those cases with a history of pneumonia. We performed a complete examination and history of the patients was obtained. All diagnosed cases of stroke were followed till 30 days (either in medical ward/outdoor) for stroke associated pneumonia, with positive finding in chest X-ray and culture of tracheal aspiration. Results: Patients were distributed according to age, which shows that 21.05%(n=60) were between 30-50 years of age while 78.95%(n=225) were between 51-70 years of age, mean+sd was calculated as 56.86+6.81 years, 51.58%(n=147) were male and 48.42%(n=138) were females. Frequency of stroke associated pneumonia in patients with stroke was recorded in 17.89%(n=51) while 82.11%(n=234) had no findings of the morbidity. Conclusion: We concluded that the frequency of stroke associated pneumonia is quite high among stroke patients. However, these cases should be diagnosed early managed accordingly.
HYBRID BASED RECOMMENDATION ENGINE: The Art of Matching Items to User

----------------------------------------------------------------------------------------------------------------------------------------- Abstract: The paper focuses on the goals of the recommendation engine which is to generate meaningful recommendations to a collection of users for items or products that might interest them. Recommendation engine have changed the way people find products, information and even other users. It is a study of behavioral patterns for different users to recommend them different items from a collection of things. The design of such recommendation engine depends on the domain and the data available.
Review Paper on Cognitive Radio Networking and Techniques in Cognitive Radio Network

Abstract-Cognitive radio (CR) can be programmed and configured dynamically to use the best wireless channels in its vicinity. Such a radio automatically detects available channels in wireless spectrum, then accordingly changes its transmission or reception parameters to allow more concurrent wireless communications in a given spectrum band at one location. This process is a form of dynamic spectrum management. The spectrum sensing problem has gained new aspects with cognitive radio networks. Radio spectrum is the most valuable resource in wireless communication. The cognitive radio and cognitive based networking are transforming the static spectrum allocation based communication systems in to dynamic spectrum allocation. Cognitive radios are intelligent devices with ability to sense environmental conditions and can change its parameters according to the requirements to get the optimized performance at the individual nodes or at network level Thus, CR is widely regarded as one of the most promising technologies for future wireless communications.Cognitive radio (CR) can be programmed and configured dynamically to use the best wireless channels in its vicinity. Such a radio automatically detects available channels in wireless spectrum, then accordingly changes its transmission or reception parameters to allow more concurrent wireless communications in a given spectrum band at one location. This process is a form of dynamic spectrum management. The spectrum sensing problem has gained new aspects with cognitive radio networks. Radio spectrum is the most valuable resource in wireless communication. The cognitive radio and cognitive based networking are transforming the static spectrum allocation based communication systems in to dynamic spectrum allocation. Cognitive radios are intelligent devices with ability to sense environmental conditions and can change its parameters according to the requirements to get the optimized performance at the individual nodes or at network level Thus, CR is widely regarded as one of the most promising technologies for future wireless communications.
What do you like to do in Your Free Time? Activity Preferences of Adolescents Born Extremely Preterm Journal of Child & Adolescent Behavior

Aim: To describe activity preferences of adolescents born extremely preterm and the association between child and environmental factors with activity preferences. Methods: Participants included 127 adolescents between 12 and 20 years of age born at ≤ 29 weeks gestation. Mean age was 16.0 years (SD=2.4 years) and the sample included 67 females. Leisure preferences were assessed using the Preferences for Activities of Children questionnaire. Cognitive ability was assessed by a psychologist using the Leiter-R brief IQ and motor competence was evaluated by a physical or occupational therapist using the Movement Assessment Battery for Children-Second Edition. Other potential determinants of activity preferences included gestational age, maternal education, behavior, mastery motivation, self-perception, social supports and environmental barriers which were assessed using standardized tests and questionnaires. Results: Adolescents born extremely preterm reported a high level of interest in a variety of leisure activities, especially social pursuits. Girls preferred social (p=0.004), skill-based (p=0.001) and self-improvement activities (p<0.001) than boys, and boys preferred active-physical activities (p=0.01) than girls. Activity preferences did not differ according to age and motor competence. Adolescents with lower cognitive ability (IQ<80) had lower preference for social activities than those with higher cognitive ability (p=0.028). Sex and mastery motivation explained 23% (skill-based), 28% (social) and 36% (active-physical) of the variance for activity preferences. Conclusion: Child and environmental factors influence activity preferences. Providing positive sex-specific activities in which adolescents born extremely preterm can experience mastery motivation and early successes may enhance healthy choices and continued participation in this population. Healthy choices may be supported by providing adolescents with affordable leisure opportunities in which they will overcome fear of failure, and will experience mastery and competence by designing or adapting existing activities to individual skill level. Attracting and retaining adolescents born extremely preterm in active hobbies may be achieved by fostering physical health and skill development within preferred activities, such as social pursuits.