gebhart/patrepeval huggingface dataset:
A Heuristic-Based Appliance Scheduling Scheme for Smart Homes (2019)

The ever-growing demand for electricity in the residential sector results in creating a severe burden on electric grids. However, with the emergence of smart homes (SHs) and smart grids (SGs), this burden can be reduced to some extent. To address this issue, we propose an energy management system in this paper which manages the power requirements of SHs automatically according to the utility constraints and user priorities. The proposed system is based on a heuristic technique, which considers the user's priority and power available from the grid as well as distributed energy resources for scheduling of appliances. It works by dividing the appliance scheduling problem in an SH into subproblems for different time slots. Then, a heuristic solution is designed for each subproblem. The instantaneous load demands are handled in real time to comply with the available power from the grid/utility. The data from different SHs is gathered to test the performance of the proposed scheme in real time. Results show that the proposed scheme efficiently manages the load demand of the SH with respect to power available from the utility, battery energy storage system, and user preferences.
Mechanistic and synthetic studies of the intramolecular [4+2] cycloaddition of conjugated enynes (2004)

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemistry, 2004.
Lyme Disease Patient Trajectories Learned from Electronic Medical Data for Stratification of Disease Risk and Therapeutic Response (2019)

Lyme disease (LD) is the most common tick-borne illness in the United States. Although appropriate antibiotic treatment is effective for most cases, up to 20% of patients develop post-treatment Lyme disease syndrome (PTLDS). There is an urgent need to improve clinical management of LD using precise understanding of disease and patient stratification. We applied machine-learning to electronic medical records to better characterize the heterogeneity of LD and developed predictive models for identifying medications that are associated with risks of subsequent comorbidities. For broad disease categories, we identified 3, 16, and 17 comorbidities within 2, 5, and 10 years of diagnosis, respectively. At a higher resolution of ICD-9 codes, we identified known associations with LD including chronic pain and cognitive disorders, as well as particular comorbidities on a timescale that matched PTLDS symptomology. We identified 7, 30, and 35 medications associated with risks of these comorbidities within 2, 5, and 10 years, respectively. For instance, the first-line antibiotic doxycycline exhibited a consistently protective association for typical symptoms of LD, including backache. Our approach and findings may suggest new hypotheses for more personalized treatments regimens for LD patients.
Monte-Carlo-Based Channel Characterization for Underwater Optical Communication Systems (2012)

We consider channel characterization for underwater wireless optical communication (UWOC) systems. We focus on the channel impulse response and, in particular, quantify the channel time dispersion for different water types, link distances, and transmitter/receiver characteristics, taking into account realistic parameters. We use the Monte Carlo approach to simulate the trajectories of emitted photons propagating in water from the transmitter towards the receiver. During their propagation, photons are absorbed or scattered as a result of their interaction with different particles present in water. To model angle scattering, we use the two-term Henyey&#x2013;Greenstein model in our channel simulator. We show that this model is more accurate than the commonly used Henyey&#x2013;Greenstein model, especially in pure sea waters. Through the numerical results that we present, we show that, except for highly turbid waters, the channel time dispersion can be neglected when working over moderate distances. In other words, under such conditions, we do not suffer from any inter-symbol interference in the received signal. Lastly, we study the performance of a typical UWOC system in terms of bit-error-rate using the simple on&#x2013;off-keying modulation. The presented results give insight into the design of UWOC systems.
Lymphocyte transformation in chronic renal failure. (1973)

The transformation of cultured lymphocytes in response to stimulation by phytohaemagglutinin (PHA) and purified protein derivative (PPD) in nineteen patients with chronic renal failure and four normal controls was studied. This was significantly lower in the patients than in the controls in response to both stimulants. Among the patients those with blood urea level higher than 200 mg/ml showed a transformation rate significantly higher than those with lower levels of blood urea in response to PHA. Mean values of transformation rate were lower in patients of the older age group (>50 years) and in the more chronic cases (>5 years) but the differences were not statistically significant.
Kinesin Light Chains Are Essential for Axonal Transport in Drosophila (1998)

Kinesin is a heterotetramer composed of two 115-kD heavy chains and two 58-kD light chains. The microtubule motor activity of kinesin is performed by the heavy chains, but the functions of the light chains are poorly understood. Mutations were generated in the Drosophila gene Kinesin light chain (Klc), and the phenotypic consequences of loss of Klc function were analyzed at the behavioral and cellular levels. Loss of Klc function results in progressive lethargy, crawling defects, and paralysis followed by death at the end of the second larval instar. Klc mutant axons contain large aggregates of membranous organelles in segmental nerve axons. These aggregates, or organelle jams (Hurd, D.D., and W.M. Saxton. 1996. Genetics. 144: 1075-1085), contain synaptic vesicle precursors as well as organelles that may be transported by kinesin, kinesin-like protein 68D, and cytoplasmic dynein, thus providing evidence that the loss of Klc function blocks multiple pathways of axonal transport. The similarity of the Klc and Khc (. Cell 64:1093-1102; Hurd, D.D., and W.M. Saxton. 1996. Genetics 144: 1075-1085) mutant phenotypes indicates that KLC is essential for kinesin function, perhaps by tethering KHC to intracellular cargos or by activating the kinesin motor.
Arsenite oxidation in batch reactors with alginate‐immobilized ULPAs1 strain (2005)

Arsenic is one of the major groundwater contaminants worldwide. It was previously demonstrated that the beta-proteobacterium Cenibacterium arsenoxidans has an efficient As[III] oxidation ability. The present study was conducted to evaluate the performance of alginate-immobilized ULPAs1 in the oxidation of As[III] to As[V] in batch reactors. A two-level full factorial experimental design was applied to investigate the influence of main parameters involved in the oxidation process, i.e., pH (7-8), temperature (4 degrees C-25 degrees C), kind of nutrient media (2%-20% sauerkraut brine), and arsenic concentration (10-100 mg/L). One hundred milligram per liter of As[III] was fully oxidized by calcium-alginate immobilized cells in 1 h. It was found that the temperature as well as the kind of nutrient media used were significant parameters at a 95% confidence interval whereas only temperature was a significant parameter at a 99% confidence interval. The immobilization of the As[III] oxidizing strain in alginate beads offers a promising way to implement new treatment processes in the remediation of arsenic contaminated waters.
BOND INSPECTION BY IMPACT TEST (2010)

Kissing bond detection has been a challenging issue for NDE of bonded structures in aeronautical industry. A novel impact test technique for bond inspection has been developed, which shows great potential for kissing bond detection. The impact test employs a solenoid to produce impact forces in a bonded structure, and the induced elastic wave in the structure was picked up by an EMAT sensor, which located side by side with the solenoid. Both solenoid and EMAT sensor are integrated into a tap header that is mounted onto an automatic 2‐D scanner to realize an automatic 2‐D scanning. Multiple samples with artificial defects including kissing bonds and disbonds were used to test the impact test technique. The results show that those bond defects in the samples can be detected by the developed impact test technique. For comparison purpose, those samples were also tested with traditional ultrasonic C‐scan.
Need for Global Knowledge Sharing Related to Construction Innovation (2006)

Innovation is a key to our industry success and takes the creativity of many talented people and the sharing of knowledge from many construction participants at institutions of higher education, research institutes, private businesses, and government agencies. Facing the competitive environment of the construction industry, Ruentex has a clear mission for innovation. Innovation is to create different value for our customers that competitors cannot provide and to create the difference that our customers are willing to pay for, because customers treasure value created by services rather than price. We try continuously to improve our operations using the latest proven technologies such as RFID for tracking precast concrete panels; 3D and 4D CAD for enhanced design and construction planning; modularization, ERP for providing an open book accounting format to secure the trust of our clients; and real-time construction monitoring for more effective project control. In the age of the knowledge economy, we believe in sharing what we do with others because this creates the greatest impact on improving the quality of life in our society. A learning organization is the key mechanism for sharing, and communication and discussion are the two most important factors for successful learning environments. Sharing not only brings improvement but also business opportunity and profit. Sharing with the global community brings regional integration and further development. It is important to share information with competitors because this can raise the level of efficiency for the entire construction industry. In order to create a better knowledge sharing environment, companies should be members of the global construction community. The greatest impact on society will result from the sharing of knowledge and communication of successes and failures related to construction planning, designing, construction, and operations. The challenge is to provide better communication between the various parties on a global basis. Great work is being performed at universities and construction companies around the world, and this information needs to be better transferred and shared to the global construction community. Several construction research organizations exist worldwide that need to more effectively communicate with each other in relation to common research interests and to consider the potential to jointly fund projects and collaborate in a synergistic manner. I would fully support the creation of an organization virtual or real that would pull together the many construction research organizations around the world, such as the Construction Research Council CRC and Construction Industry Institute CII in
CounterIntelligence: Augmented Reality Kitchen (2005)

The kitchen is a complex and dangerous multi-user work environment that can benefit from augmented reality techniques to help people cook more safely, easily and efficiently. We present Counter Intelligence, a conventional kitchen augmented with the projection of information onto its objects and surfaces to orient users, coordinate between multiple tasks and increase confidence in the system. Five discrete systems gather information from the kitchen and display information in an intuitive manner with special consideration for directing the user’s attention. This paper presents the design of these systems and results of initial evaluations.
Exosomes Carry microRNAs into Neighboring Cells to Promote Diffusive Infection of Newcastle Disease Virus (2019)

Newcastle disease virus (NDV), an avian paramyxovirus, was shown to prefer to replicate in tumor cells instead of normal cells; however, this mechanism has not been fully elucidated. Exosomes play a crucial role in intercellular communication due to the bioactive substances they carry. Several studies have shown that exosomes are involved in virus infections. However, the effect that exosomes have on NDV-infected tumor cells is not known. In this study, we focus on the role of exosomes secreted by NDV-infected HeLa cells in promoting NDV replication. Three miRNA candidates (miR-1273f, miR-1184, and miR-198) embraced by exosomes were associated with enhancing NDV-induced cytopathic effects on HeLa cells. Furthermore, luciferase assays, RT-qPCR, and enzyme-linked immunosorbent assay (ELISA) all demonstrated that these miRNAs could suppress interferon (IFN)-β gene expression. Enhanced NDV replication in HeLa cells was identified by Western blot and plaque assays. Based on these results, we speculate that NDV employed exosomes entry into neighboring cells, which carry miRNAs, resulting in inhibition of the IFN pathway and promotion of viral infection. To our knowledge, this is the first report on the involvement of NDV-employed exosomes in tumor cells, and as such, it provides new insights into the development of anti-tumor therapies.
Genetics and functions of the retinoic acid pathway, with special emphasis on the eye (2019)

Retinoic acid (RA) is a potent morphogen required for embryonic development. RA is formed in a multistep process from vitamin A (retinol); RA acts in a paracrine fashion to shape the developing eye and is essential for normal optic vesicle and anterior segment formation. Perturbation in RA-signaling can result in severe ocular developmental diseases-including microphthalmia, anophthalmia, and coloboma. RA-signaling is also essential for embryonic development and life, as indicated by the significant consequences of mutations in genes involved in RA-signaling. The requirement of RA-signaling for normal development is further supported by the manifestation of severe pathologies in animal models of RA deficiency-such as ventral lens rotation, failure of optic cup formation, and embryonic and postnatal lethality. In this review, we summarize RA-signaling, recent advances in our understanding of this pathway in eye development, and the requirement of RA-signaling for embryonic development (e.g., organogenesis and limb bud development) and life.
CD1c but neither CD1a nor CD1b molecules are expressed on normal, activated, and malignant human B cells: identification of a new B-cell subset (1988)

The CD1 cluster of monoclonal antibodies (MoAbs) CD1a, CD1b, and CD1c, identifies molecules that are differentially expressed on hematopoietic and nonhematopoietic tissues. Our earlier finding that the mantle zone (MZ) but not the germinal center (GC) of normal lymph nodes (LN) is CD1c+, CD1a-, and CD1b- prompted us to further investigate the expression of these molecules on normal, activated, and malignant B cells. We report that blood and spleen contain CD1c+ B cells that account for 49% +/- 20.4% (mean +/- SD) and 50.9% +/- 4.4% of the total B cell population, respectively. CD1a- and CD1b-specific MoAbs are unreactive with both B and T cells; these latter are CD1c- as well. When CD1c+ and CD1c- B cells are activated in vitro, the CD1c molecule is upregulated in the former subset and induced de novo in the latter. Conversely, activated blood T cells remain CD1c-. Neither CD1a nor CD1b molecules are detected on activated T and B lymphocytes. At ultrastructural level, the CD1c+ B cells exhibit distinctive features, namely, condensed chromatin with or without a nucleolus and a unique cluster of cytoplasmic vesicles and organelles; the number of nucleolated cells is higher in the spleen (95%) than in the tonsil (40%) or blood (5%). These findings further confirm the similarity between blood and MZ B cells. The CD1c expression assessed on 27 B-cell chronic lymphocytic leukemias (B-CLL) and 46 B non-Hodgkin's lymphomas (B-NHL) was detected on 41% and 32% of cases, respectively; the latter comprised four follicular and 11 diffuse histotypes. The Burkitt's lymphomas were CD1c-negative. The B-cell neoplasms were all CD1a- and, except for four with a weak cytoplasmic staining, all CD1b- as well. The clear-cut CD1c distribution in normal LN (MZ+, GC-) contrasted with the evidence that some B-NHL cells of GC origin (eg, follicular with predominantly small cleaved cells) were CD1c+. Overall, the finding that CD1c expression is restricted to a fraction of B cells present in lymphoid organs and in peripheral blood indicates that CD1c is a powerful marker for the identification and dissection of B-cell subsets whose functional properties can now be evaluated.
Novel Use of Capturex Device and Reliant Balloon for Inferior Vena Cava Tumor Thrombectomy: A Case Report and Review of Literature (2019)

We present a case of a 42-year-old male who presented to us with renal cell carcinoma with tumor thrombus extending to IVC. We performed a hybrid endovascular and open procedure using novel surgical techniques to obtain proximal vena caval control and to remove the tumor thrombus-Capturex filter which was placed endovascularly 1 cm above the thrombus via the right internal jugular vein and reliant balloon was placed above the capturex below the hepatic veins. At this position, when the reliant balloon was inflated, it acted as a retro hepatic IVC control. Following vascular control, we proceeded to tumor thrombectomy and radical nephrectomy using transperitoneal approach. Patient made an uneventful recovery and was subsequently referred for medical oncology service for consideration of targeted therapy. Detailed description of the procedure is followed by the discussion of the literature.
A Study of Assessment of Vascular Aging by Locality of the Radial Pressure Pulse Waveform (2000)

Noninvasive pulse wave analysis is useful for evaluation of vascular load and vascular aging. The radial pulse waveforms provide more precise information concerning blood pressure changes than systolic and diastolic pressures only. For this purpose, we performed drug administration studies (study 1) and epidemiological studies (study 2) to evaluate the possibility of clinical application of the ΔBPp of the radial pulse waveform. We call this is “Locality of the waveform”. In the study 1, radial pressure pulse was measured with the noninvasive stroke volume for 6 adults with normal physical findings. The ΔBPp was defined as the amplitude from the systolic peak to that of the dicrotic notch in the pulse waveform. Although radial pressure decrease is only from 118/69 to 117/60 after 20mg sublingual nifedipine, the ΔBPp increase from 31 mmHg to 43 mmHg. From this fact, the ΔBPp may be useful for noninvasive evaluation of the effects of vasoactive agents. In the study 2, The ΔBPp was measured in 80 adults with normal physical findings. The ΔBPp showed the tendency of decreasing with age. The ΔBPp (y) decreased with age (x) (r=-0.41, P<0.001, y=-0.62 x+48.8) as aging index.
Developing Noninformative Priors for the Common Mean of Several Normal Populations (2004)

The paper considers the Bayesian interval estimation for the common mean of several normal populations. A Bayesian procedure is proposed based on the idea of matching asymptotically the coverage probabilities of Bayesian credible intervals with their frequentist counterparts. Several frequentist procedures based on pivots and P-values are introduced and compared with Bayesian procedure through simulation study. Both simulation results demonstrate that the Bayesian procedure performs as well or better than any available frequentist procedure even from a frequentist perspective.
Standing at the Crossroads: Mobile Learning and Cloud Computing at Estonian Schools (2012)

espanolEl articulo estudia las consecuencias de los esfuerzos de aplicacion del aprendizaje mo- vil en el sistema educativo estonio, esfuerzos que han suscitado numerosas controversias estos ultimos anos. Las reacciones de alumnos, responsables escolares y personal docente son muy variadas. La mayoria de los profesores posee las herramientas y las competencias necesarias, pero carece casi por completo de motivacion para promover el aprendizaje movil. El articulo plantea algunas situaciones futuras, positivas y negativas, e indica que probablemente apareceran problemas importantes si la formacion de los profesores no cambia, si las politicas de ciberseguridad no se desarrollan adecuadamente y si las autoridades continuan poniendo todos los huevos en la misma cesta (concretamente, al depender de soluciones comerciales cerradas para las plataformas de aprendizaje movil). EnglishThis paper studies the impact of mobile learning implementation efforts in Estonian school system – a process that has created a lot of controversy during the recent years. The results show different attitudes among students, school leaders and staff – while all of them mostly possess necessary tools and skills, teachers almost completely lack motivation to promote mobile learning. We propose some positive and negative scenarios – for example, we predict major problems if teacher training will not change, e-safety policies are inadequately developed or authorities will continue the tendency to put all the eggs into one basket (e.g. by relying solely on closed, corporate solutions for mobile learning platforms).
An Advanced Simulation and Reconstruction Framework for a Novel In-Beam PET Scanner for Pre-Clinical Proton Irradiation (2020)

Within the project “Small animal proton Irradiator for Research in Molecular Image-guided radiation-Oncology” (SIRMIO) we have designed an in-beam PET scanner for preclinical application. The system is based on a novel spherical geometry, and in order to fully exploit its potential we are developing an integrated computational framework for simulation, image reconstruction and range verification. The software comprises a full Monte Carlo engine to simulate the proton treatment with related detector response, and an image reconstruction tool for simulated and experimental data. The platform is designed to integrate robust analytical reconstruction algorithms and new statistical approaches based on deep learning. The core of the framework is based on MEGAlib (The Medium Energy Gamma-ray Astronomy software library). The physical simulation is based on GEANT4. The machine learning method for the event classification is implemented with the ROOT based Toolkit for Multivariate Data Analysis (TMVA). The first prototype of the SIRMIO irradiation platform foresees a fixed beam, thus requiring the movement of the mouse for scanned beam delivery. Hence, we have extended the MEGAlib image reconstruction algorithm based on maximum-likelihood expectation-maximization (ML-EM) to correct for geometrical efficiency and attenuation taking into account the mouse motion. The goal is to be able to discriminate proton range shifts of ~ 0.5 mm. Moreover, we are augmenting the image reconstruction framework with a new approach based on machine learning, which aims at using all photon events collected during irradiation (dominated by prompt gamma) to retrieve on-the-fly the range of the beam, to complement the PET information.
Distribution of nivalenol in milling fractions of severely Fusarium-infected Japanese soft winter wheat grains (2012)

The fate of Fusarium mycotoxin nivalenol during milling of a Japanese wheat cultivar was investigated. Grain samples with two distinct nivalenol levels were test-milled to produce six ﬂour fractions (Breaking flours: 1B, 2B, and 3B, Middling flours: 1M, 2M, and 3M) and two outer layer fractions (bran and shorts). Patent flour for human consumption was made from 1B, 1M, 2B, and 2M, while low-grade flour was made from 3B and 3M. These four samples; Patent flour, low-grade flour, bran and shorts were analyzed for the content of nivalenol by HPLC-UV. Two samples showed similar patterns of nivalenol distribution in milling fractions.