Miracle-dz/UniFAR-FTUs huggingface dataset:
Quantitative Analysis of Liposomal Heat Shock Protein 70 (Hsp70) in the Blood of Tumor Patients Using a Novel LipHsp70 ELISA

Elevated levels of the stress-inducible heat shock protein 70 (Hsp70) in the peripheral circulation have been reported for many tumor entities. In line with these findings we have shown that Hsp70 membrane-positive tumor cells actively release Hsp70 in exosome-like lipid vesicles. Since most commercial Hsp70 Enzyme-Linked Immunosorbent Assays (ELISAs) are not validated for the detection of liposomal Hsp70 in serum, the lipHsp70 ELISA was established using the monoclonal antibody cmHsp70.1 as a detection reagent. This antibody has been reported to recognize free and membrane-bound Hsp70 on living tumor cells. Validation of the ELISA showed a high assay precision and linearity in a concentration range of 0.36-17.4 ng/ml. A comparison of the recovery of spiked Hsp70 in buffer and serum samples revealed a significantly better recovery using the lipHsp70 ELISA compared to a commercial ELISA. With respect to lipid-associated Hsp70 a tenfold higher recovery was found with the lipHsp70 ELISA compared to the commercial ELISA. The analysis of blood samples of healthy human volunteers (n=114) revealed a mean serum Hsp70 concentration of 6.4 ± 2.7 and 2.8 ± 1.3 ng/ml, respectively, using the lipHsp70 and the control ELISA. No significant age-related differences in Hsp70 serum levels were detected. The lipHsp70 ELISA is equally suitable for serum and plasma and the measured Hsp70 concentrations were not impacted by food intake, repeated freezing and thawing of the sample or moderate hemolysis. A comparison of the Hsp70 levels in patients with head and neck, lung, colorectal, pancreatic cancer, glioblastoma or hematological malignancies and healthy human volunteers revealed significantly higher levels in tumor patients. In summary, the lipHsp70 ELISA provides a highly sensitive and robust method for measuring liposomal and free Hsp70 in serum and plasma and thus could provide a useful tool for tumor detection and for monitoring the clinical outcome of patients.
Review on Aluminium Silicon Carbide Metal Matrix Composite

Good strength to weight ratio is always a interest of researchers to make the things more compact. Aluminium metal matrix composites are widely used in various industries ranging from house hold application to aerospace. Involvement of SiC in particulate form shows marginally increase in mechanical properties of Aluminium. Improvement in mechanical properties such as tensile strength, Hardness, toughness etc by varying the percent composition of SiC is being reviewed in this literature along with the fabrication techniques and effect of some alloying metals. Keywords— Stirr casting, Metal matrix composite, Al-SiC, Mechanical Properties.
Synchronized Measurement Technology Supported Online Generator Slow Coherency Identification and Adaptive Tracking

In an electric power system, slow coherency can be applied to identify groups of the generating units, the rotors of which are swinging together against each other at approximately the same oscillatory frequencies of inter-area modes. This serves as a prerequisite-step of several emergency control schemes to identify power system control areas and improve transient stability. In this paper, slow coherent generators are grouped based on the direction and the strength of electromechanical coupling between different generators. The proposed algorithm performs low-pass filtering of generator frequency measurements. It adaptively determines the minimal number of the measurements to be processed in an observation window, and performs data selectivity to prevent mixing of interfering coherency indices. Finally, it adaptively tracks grouping changes of slow coherent generators and determines a finite number of groups for an improved affinity propagation clustering. The proposed algorithm is implemented as an online MATLAB program and verified in real-time using RTDS power system simulator with the integration of actual synchronized measurement technology components as hardware-in-the-loop. The obtained results demonstrate the effectiveness of the proposed algorithm for robust and near real-time identification of grouping changes of slow coherent generators during the quasi-steady-state and electromechanical transient period following a disturbance.
A phase I/II study to assess the safety and efficacy of pazopanib and MK-3475 in subjects with advanced renal cell carcinoma.

TPS4604^ Background: Pazopanib is an angiogenesis inhibitor targeting VEGFR-1, -2, and -3; PDGFR-α and -β; and the receptor c-Kit, and is indicated for the treatment of subjects with advanced RCC and advanced soft tissue sarcoma. MK-3475 (Merck) is a potent and highly-selective humanized mAb of the IgG4/kappa isotype designed to block directly the interaction between PD-1 and its ligands, PD-L1 and PD-L2. Proangiogenic factors suppress various immune functions whereas antiangiogenic agents have potential to modulate the tumor microenvironment and improve immunotherapy. High expression of PD-L1 on tumor cells, and to a lesser extent of PD-L2, has been found to correlate with poor prognosis and survival in various cancer types including RCC [Thompson 2007]. An analysis of patients with RCC treated with paz demonstrated that elevated expression of PD-L1 correlates with shorter PFS [Figueroa 2013]. Additionally an objective response rate of 27% in RCC patients was reported in an early phase study with another.
AS PRÁTICAS DE LETRAMENTO NA SÍNDROME DE DOWN: A IMPORTÂNCIA DOS GÊNEROS TEXTUAIS

This paper presents a research about the importance of using varied textual genres in the literacy process of children with Down Syndrome. The research was conducted at the Association of Parents and Friends of the Exceptional (APAE), in the city of Vitória da Conquista BA. We take as base the theoretical support of Psycholinguistics and literacy practices using textual genres, considering the levels of participation of the actors in the educational and family context. In addition to the data obtained through the questionnaires, observations were made of classes and analysis of the material used in the school context. The results indicate that students with Down Syndrome achieve satisfactory levels of literacy when in the classroom they are guided by teachers who use diverse material and had early contact with materials written in the family nucleus.
Penalty Based Control Mechanism for Strategic Prosumers in a Distribution Network

The distribution side of the traditional power grid is changing as the users (known as prosumers) can inject power to the grid. However, uncontrollable injection of power can destabilize the grid. Thus, the stability of the grid must be maintained. Since the prosumers are self-interested entities, they will take their actions to maximize their own pay-offs. We formulate the problem as a non-cooperative game theoretic problem where the magnitude of the voltage must be within an acceptable limit at each node of the power network. Since the power-flow equations must be satisfied at each node, it becomes a coupled constrained game where the constraints are the same across the prosumers. We propose a distributed penalty based algorithm which converges to an equilibrium. In this mechanism, the prosumers are quoted a price based on the active and reactive power drawn or injected to the power grid. The algorithm is easy to implement and it converges to an efficient solution which maximizes the sum of the utilities of the prosumers while maintaining the grid’s stability.
On the Road with 16 Neurons: Mental Imagery with Bio-inspired Deep Neural Networks

This paper proposes a strategy for visual prediction in the context of autonomous driving. Humans, when not distracted or drunk, are still the best drivers you can currently find. For this reason we take inspiration from two theoretical ideas about the human mind and its neural organization. The first idea concerns how the brain uses a hierarchical structure of neuron ensembles to extract abstract concepts from visual experience and code them into compact representations. The second idea suggests that these neural perceptual representations are not neutral but functional to the prediction of the future state of affairs in the environment. Similarly, the prediction mechanism is not neutral but oriented to the current planning of a future action. We identify within the deep learning framework two artificial counterparts of the aforementioned neurocognitive theories. We find a correspondence between the first theoretical idea and the architecture of convolutional autoencoders, while we translate the second theory into a training procedure that learns compact representations which are not neutral but oriented to driving tasks, from two distinct perspectives. From a static perspective, we force groups of neural units in the compact representations to distinctly represent specific concepts crucial to the driving task. From a dynamic perspective, we encourage the compact representations to be predictive of how the current road scenario will change in the future. We successfully learn compact representations that use as few as 16 neural units for each of the two basic driving concepts we consider: car and lane. We prove the efficiency of our proposed perceptual representations on the SYNTHIA dataset. Our source code is available at this https URL
Effects of providing partial hypotheses as a support for simulation-based inquiry learning

Hypothesis generation is an important but difficult process for students. This study investigated the effects of providing students with support for hypothesis generation, with regard to the testability and complexity of the generated hypotheses, the quality of the subsequent inquiry learning processes and knowledge acquisition. Fifty-two secondary school students completed three prior knowledge tests and worked on an inquiry task in the domain of force and motion, concerning the topic of Newton's first law of motion. They received either a set of terms (variables, conditions and relations) to help them generate hypotheses (T condition, n = 23) or the same set of terms plus a partial hypothesis to start from (T + PHy condition, n = 29). Results showed that students in the T + PHy condition generated more complex hypotheses, performed better at data collection and acquired more domain knowledge than students in the T condition. No effects of prior knowledge were found.
Improving Performances of Oxide Phototransistors Using a Mechano-Chemically Treated Porous Structure as The Visible Light Absorption Layer

In this research, we suggest indium gallium zinc oxide (IGZO) thin film transistors (TFTs) for detection of visible light using a porous oxide layer (POL) resulting from mechano-chemical treatment. When compared with conventional IGZO TFT, the IGZO TFT with the POL exhibits photoresponsivity of 341.32 A/W, photosensitivity of 1.10 106, and detectivity of 4.54 1010 Jones under 532 nm light illumination.
Effect of Airfoil-Preserved Undulations on Wing Performance

The effect of undulation placement (leading edge, trailing edge, leading and trailing edge) on the wing performance and the wingtip vortex was investigated. Experiments were performed at the University of Dayton Low Speed Wind Tunnel (UD-LSWT) on undulated wings where the NACA 0012 airfoil crosssection is preserved along the wingspan. Sensitivity studies were done on the undulation wavelength along the span (λ/c 0.31, 0.21 and 0.15) and undulation placement (leading edge, trailing edge, and both leading and trailing edge). The leading edge undulations delayed stall until higher angles of attack, however, the maximum aerodynamic efficiency was reduced. The trailing edge undulated wing on the other hand increased the maximum aerodynamic efficiency but was not successful in stall mitigation. Wings with both leading and trailing edge undulations showed improvement in aerodynamic efficiency as well as delayed stall. The effect of the undulations on the wingtip vortex was also investigated through Particle Image Velocimetry (PIV). For the same coefficient of lift, the undulated wing cases reduced the wingtip vortex circulation by 25%. Investigations into the wingtip vortex core RMS and aerodynamic efficiency revealed a direct relationship where a higher vortex core RMS resulted in a higher aerodynamic efficiency and viceversa. Dedication or Acknowledgements The author acknowledges the partial funding from Henry Luce Foundation through the Clare Boothe Luce Scholars Program for the work presented in this thesis. The author would also like to acknowledge the Ohio Space Grant Consortium (OSGC) for partially funding the primary author for performing undergraduate research. The author would also like to thank UD wind tunnel technician, Jielong Cai, and research partner, Michael Mongin, for helping with manufacturing wind tunnel models and performing experiments.
Self-Supervised Contextual Bandits in Computer Vision

Contextual bandits are a common problem faced by machine learning practitioners in domains as diverse as hypothesis testing to product recommendations. There have been a lot of approaches in exploiting rich data representations for contextual bandit problems with varying degree of success. Self-supervised learning is a promising approach to find rich data representations without explicit labels. In a typical self-supervised learning scheme, the primary task is defined by the problem objective (e.g. clustering, classification, embedding generation etc.) and the secondary task is defined by the self-supervision objective (e.g. rotation prediction, words in neighborhood, colorization, etc.). In the usual self-supervision, we learn implicit labels from the training data for a secondary task. However, in the contextual bandit setting, we don't have the advantage of getting implicit labels due to lack of data in the initial phase of learning. We provide a novel approach to tackle this issue by combining a contextual bandit objective with a self supervision objective. By augmenting contextual bandit learning with self-supervision we get a better cumulative reward. Our results on eight popular computer vision datasets show substantial gains in cumulative reward. We provide cases where the proposed scheme doesn't perform optimally and give alternative methods for better learning in these cases.
Assessment of Health Hazards of Passive Tobacco Smoking in School-age Children; Role of Oxidative Stress Biomarkers and Nitric Oxide Metabolites

Background: Oxidative stress is thought to be produced by cigarette smoking whether by active or passive exposure. For assessment of smoking related health hazards, several oxidative stress biomarkers have been in use. The aim of the present work is to investigate the impact of passive smoking on the health of school age children who had first degree relative smokers at home. Assessment of smoking related health hazards was done by measurement of malondialdehyde (MDA) as a biomarker of oxidative stress, in addition to measurement of the total antioxidant capacity (TAC), nitric oxide (NO) metabolites and cotinine levels in urine. The state of children’ exposure to tobacco smoke was assessed via parents' questionnaire. Methods: The current study involved participation of a total of 183 Egyptian school age children ranged from 6-15 years old in the period from September 2012 to June 2013. They were grouped into two groups group I cases; Second Hand Smoke (SHS) (n=132) were exposed to cigarette smoke at home (one of the first degree relatives was a heavy smoker; smokes 15-25 cigarettes per day. Group II control group (n=51) were not exposed to cigarette smoke at home. A morning urine sample was collected from all participants for colorimetric measurements of MDA, TAC, NO metabolites and cotinine levels. Results: MDA, NO metabolites and urinary cotinine levels were significantly higher in SHS cases compared to the control group (p<0.0001) while total antioxidant were significantly lower in SHS cases compared to control group (p<0.0001). TAC was significantly higher in males than in females (p=0.003). A negative correlation was found between NO metabolites (nitrite) and the TAC (r =-0.34, P<0.0001). Positive correlation was found between NO metabolites (nitrite) and MDA levels (r =0.44, P<0.0001), between MDA and urinary cotinine (r=0.26, P<0.0001) and between MDA levels and the age (r =0.22, P<0.0001). Grouping of the participated children according to their age group and studying its relation to the different studied biomarkers using one way ANOVA test followed by post hoc test the least significant difference (LSD); NO metabolites was statistically significant between the age group 1 (from 6 to 9 years) and age group 3 (from12 to 15years) (p =0.05). Conclusion: passive parental smoking is associated with significant changes in the balance between oxidant / antioxidant leading to oxidative stress and associated with elevated levels of NO but impaired its action.
Computasseia: Um Jogo para o Ensino de História da Computação

The study of History of Computing is necessary to develop the knowledge about the essentials of the area; to understand the evolution of the resources, current techniques and methods; and to expand the critical thinking regarding the present and future of Computing. However, the process of learning the History of Computing can become very boring because of the many names, facts and dates involved. The use of games as educational resources to support computer education is a strategy which can change a boring experience into an engaging experience. This paper proposes a strategy card game about History of Computing that can be used at different levels of education. Resumo. Estudar a história da Computação é essencial para conhecer os fundamentos da área, entender a evolução dos recursos, técnicas e métodos atuais e ampliar o senso crítico com relação ao desenvolvimento da Computação no presente e futuro. Entretanto, o ensino de História da Computação pode tornar-se enfadonho, com a presença de muitos nomes, fatos e datas. A utilização de jogos como recursos educacionais no apoio do ensino de Computação é uma estratégia capaz de transformar uma experiência entediante em uma experiência engajadora. Este trabalho propõe um jogo de cartas sobre diversos conteúdos relacionados à história da Computação que pode ser utilizado em diferentes níveis de ensino. 1. Introdução É crescente o reconhecimento nas universidades de que estudantes de Computação (Ciência da Computação, Sistemas de Informação, entre outros cursos) devem compreender, não somente os aspectos técnicos, mas também os aspectos culturais da sua área para a evolução dos seus estudos acadêmicos [Berry et al. 2011]. Uma grande contribuição neste sentido é o estudo da história da Computação. Diversas universidades possuem em seus currículos dos cursos de Computação alguma disciplina que discute os aspectos históricos da área como parte total ou parcial da ementa. Segundo Fonseca Filho (2007), a Universidade de Stanford e o Instituto Charles Babbage da Universidade de Manchester podem ser citados como algumas das instituições pioneiras na criação das disciplinas de História da Computação na década de 1990. Estudar a história da Computação é essencial para conhecer os fundamentos da
Pengelompokan Senyawa Aktif Obat dengan Algoritme Partitioning Around Medoids Berbasis Similaritas Analytic Therapeutic Chemical

RADIVAN LUBERISKI. Drug Active Compound Clustering using Partitioning Around Medoids Algorithm with Analytic Therapeutic Chemical Similarity. Supervised by WISNU ANANTA KUSUMA. Predicting interaction between drug active compound and disease target protein using computational approach is an important step to drug discovery and drug repositioning. Many state-of-the-art methods predict this interaction based on drug active compound similarity. Main idea behind these methods is that a group of compounds with high similarity will interact with the same group of protein target of a disease. Unfortunately, this method suffers from the limited amount of data to conduct many predictions. Analytic therapeutic chemical classification system is a semantic similarity measurement that can help to increase the performance of predicting drug compound and protein target interaction. Such similarity measures are useful for clustering of drug active compounds, that each group will potentially interact with the same group of protein target. Clustering with partitioning around medoids algorithm makes use of limited ATC similarity data on this research.
Complete scintigraphic resolution of a bone metastasis after androgen-deprivation therapy

99mTc-metilen difosfonat (MDP) tum vucut kemik sintigrafisi prostat kanserinin kemik metastazlarini degerlendirmede siklikla kullanilmaktadir. Anatomik goruntuleme yontemleri ile saptanamayan malign lezyonlarin fonksiyonel olarak izlenebilmesi ve tedaviye yanitinin degerlendirilebilmesi acisindan nukleer tip tetkikleri cok degerlidir. Bununla birlikte sintigrafik yontemlerin rezolusyon ve anatomik detaylari belirlemede bazi radyolojik tetkiklere gore sinirli olabildigi bilinmektedir. Kemik metastazlarinin tedavisinde siklikla kombine sistemik tedaviler tercih edilmekte olup, androjen-deprivasyon tedavisi (ADT) tek basina nadiren etkilidir. Burada bilgisayarli tomografi ile saptanamayan, 18 ay ADT ile regrese olan kemik metastazli nadir prostat kanserli bir olguyu sunuyoruz.
The Effect of Learning Together Strategy on The Vocabulary Acquisition in English Language by Fifth Primary pupils

This research was made to know the effect of learning together strategy in the vocabulary acquisition of the English language as a second language, as well as, their knowledge level of the required vocabulary to make the successful communication in learning language, based on the personal experiences in the class which often show that there is weak in the linguistic expressions of the pupils that encourages the researcher to use learning together strategy, which obliged that the learner should be exposed to foreign language, and has enough opportunities to use this language to achieve learning, The researcher used an experimental design divided into two groups, the researcher intentionally chose. The research sample consists of (60) male pupils of the 5 th primary grade and divided into two groups, during (12weeks). and the researcher was teaching the two groups, directly so as to control the experiment. The data and the statistical analysis were calculated using (SPSS) and the results showed that there are differences with statistical significant among vocabulary acquisition tests in the post test for both groups, and the result was in favour of the post test for the control group https://doi.org/10.24897/acn.64. 68.6026