gebhart/patrepeval huggingface dataset:
A trainable system for object detection in images and video sequences (2000)

This publication can be retrieved by anonymous ftp to publications.ai.mit.edu. This thesis presents a general, trainable system for object detection in static images and video sequences. The core system nds a certain class of objects in static images of completely unconstrained, cluttered scenes without using motion, tracking, or handcrafted models and without making any assumptions on the scene structure or the number of objects in the scene. The system uses a set of training data of positive and negative example images as input, transforms the pixel images to a Haar wavelet representation, and uses a support vector machine classi er to learn the di erence between in-class and out-of-class patterns. To detect objects in out-of-sample images, we do a brute force search over all the subwindows in the image. This system is applied to face, people, and car detection with excellent results. For our extensions to video sequences, we augment the core static detection system in several ways { 1) extending the representation to ve frames, 2) implementing an approximation to a Kalman lter, and 3) modeling detections in an image as a
Solving general shallow wave equations on surfaces (2007)

We propose a new framework for solving General Shallow Wave Equations (GSWE) in order to efficiently simulate water flows on solid surfaces under shallow wave assumptions. Within this framework, we develop implicit schemes for solving the external forces applied to water, including gravity and surface tension. We also present a two-way coupling method to model interactions between fluid and floating rigid objects. Water flows in this system can be simulated not only on planar surfaces by using regular grids, but also on curved surfaces directly without surface parametrization. The experiments show that our system is fast, stable, physically sound, and straightforward to implement on both CPUs and GPUs. It is capable of simulating a variety of water effects including: shallow waves, water drops, rivulets, capillary events and fluid/floating rigid body coupling. Because the system is fast, we can also achieve real-time water drop control and shape design.
Dynamic OCE measurement of the biomechanical properties of gelatin phantom and mouse cornea<i>in vivo</i> (2013)

Here we demonstrate our use of phase stabilized swept-source optical coherence elastography (PhS-SSOCE) to assess elastic wave propagation in gelatin phantoms. From these measurements, Young’s moduli of the samples were determined. Low-amplitude (<10μm) mechanical waves were introduced using a focused air pulse on gelatin of different concentrations. Elastic wave amplitude and velocity were measured at multiple points on the phantom surface using a phase-resolved method. The results demonstrate that this method is capable of resolving very small changes in wave amplitude (~ 10 nm) as well as differences in wave velocity due to material stiffness. We further demonstrate use of this method for measurements with a contact lens, a silicone eye model and with the eye of an 18-month-old mouse <i>in vivo</i>. This non-destructive, non-invasive measurement system produces minimal tissue excitation and has high measurement sensitivity. These traits make this make this method useful for <i>in vivo</i> study of the biomechanical properties of ocular and other tissues.
Konjac-mannan and American ginsing: Emerging alternative therapies for type 2 diabetes mellitus - Discussion (2001)

Despite significant achievements in treatment modalities and preventive measures, the prevalence of diabetes has risen exponentially in the last decade. Because of these limitations there is a continued need for new and more effective therapies. An increasing number of people are using dietary and herbal supplements, even though there is a general lack of evidence for their safety and efficacy. Consequently, science based medical and government regulators are calling for more randomized clinical studies to provide evidence of efficacy and safety. Our research group has selected two such promising and functionally complementary therapies for further investigation as potentially emerging alternative therapies for type 2 diabetes: Konjac-mannan (KJM) and American ginseng (AG). We have generated a mounting body of evidence to support the claim that rheologically-selected, highly-viscous KJM, and AG with a specific composition may be useful in improving diabetes control, reducing associated risk factors such as hyperlipidemia and hypertension, and ameliorating insulin resistance. KJM has a demonstrated ability to modulate the rate of absorption of nutrients from the small bowel, whereas AG has post-absorptive effects. Consequently, it appears that KJM and AG are acting through different, yet complementary, mechanisms: KJM by increasing insulin sensitivity and AG likely by enhancing insulin secretion. Before the therapeutic potential of KJM and AG as novel prandial agents for treatment of diabetes can he fully realized, further controlled trials with larger sample sizes and of longer duration are required. A determination of the active e ingredients in AG, and the rheology-biology relationship of KJM are also warranted.
A cleavable self‐assembling tag strategy for preparing proteins and peptides with an authentic N‐terminus (2017)

Recombinant protein expression and purification remains a central need for biotechnology. Herein, the authors report a streamlined protein and peptide purification strategy using short self-assembling peptides and a C-terminal cleavage intein. In this strategy, the fusion protein is first expressed as an aggregate induced by the self-assembling peptide. Upon simple separation, the target protein or peptide with an authentic N-terminus is then released in the solution by intein-mediated cleavage. Different combinations of four self-assembling peptides (ELK16, L<sub>6</sub> KD, FK and FR) with three inteins (Sce VMA, Mtu ΔI-CM and Ssp DnaB) were explored. One protein and two peptides were used as model polypeptides to test the strategy. The intein Mtu ΔI-CM, which has pH-shift inducible cleavage, was found to work well with three self-assembling peptides (L<sub>6</sub> KD, FR, FK). Using this intein gave a yield of protein or peptide comparable with that from other more established strategies, such as the Trx-strategy, but in a simpler and more economical way. This strategy provides a simple and efficient method by which to prepare proteins and peptides with an authentic N-terminus, which is especially effective for peptides of 30-100 amino acids in length that are typically unstable and susceptible to degradation in Escherichia coli.
Targeted disruption of <i>Mig-6</i> in the mouse genome leads to early onset degenerative joint disease (2005)

Degenerative joint disease, also known as osteoarthritis, is the most common joint disorder in human beings. The molecular mechanism underlying this disease is not fully understood. Here, we report that disruption of mitogen-inducible gene 6 (Mig-6) in mice by homologous recombination leads to early onset degenerative joint disease, which is revealed by simultaneous enlargement and deformity of multiple joints, degradation of articular cartilage, and the development of bony outgrowths or osteophyte formation within joint space. The osteophyte formation appears to be derived from proliferation of mesenchymal progenitor cells followed by differentiation into chondrocytes. Absence of the Rag2 gene does not rescue the joint phenotype, excluding a role for the acquired immune system in the development of this disease. Our results provide insight into the mechanism of osteoarthritis by showing that loss of Mig-6 leads to early onset of this disease, implying that this gene or its pathway is important in normal joint maintenance. Because of the striking similarity of osteoarthritis in humans and mice, the Mig-6 mutant mouse should provide a useful animal model for studying the mechanism of this disease and for testing drugs or therapies for treating osteoarthritis.
Log-inject-log in sand consolidation. [for determining adequacy of placement of sand consolidating plastic] (1977)

A method is described for gathering information for the determination of the adequacy of placement of sand consolidating plastic for sand control in oil and gas wells. The method uses a high neutron cross-section tracer which becomes part of the plastic and uses pulsed neutron logging before and after injection of the plastic. Preferably, the method uses lithium, boron, indium, and/or cadmium tracers. Boron oxide is especially useful and can be dissolved in alcohol and mixed with the plastic ingredients.
Object Recognition Speed Improvement Using Bitmap-Hog (2016)

Commonly, HoG/SVM classifier uses rectangular images for HoG feature descriptor extraction and training. This means significant additional work has to be done to process irrelevant pixels belonging to the background surrounding the object of interest. While some objects may indeed be square or rectangular, most of objects are not easily representable by simple geometric shapes. In Bitmap-HoG approach we propose in this paper, the irregular shape of object is represented by a bitmap to avoid processing of extra background pixels. Bitmap, derived from the training dataset, encodes those portions of an image to be used to train a classifier. Experimental results show that not only the proposed algorithm decreases the workload associated with HoG/SVM classifiers by 75% compared to the state-of-the-art, but also it shows an average increase about 5% in recall and a decrease about 2% in precision in comparison with standard HoG.
Synthesis and Herbicidal Properties of 2-(5- Isoxazolinemethoxyphenyl)-4,5,6,7-tetrahydro-2H-indazole and Their Related Derivatives (2001)

A series of bicyclic 4,5,6,7-tetrahydroindazole derivatives 6 have been synthesized, and their herbicidal activities were studied in flooded paddy condition. The compounds 6 showed herbicidal effects to bamyardgrass and Monochoria and good tolerance against rice at a rate of 0.063 ㎏/㏊~0.25 ㎏/㏊.
Extracting coding parameters from pre-coded MPEG-2 video (2002)

We investigate the problem of MPEG-2 video quality degradation due to re-encoding using different coding parameters. We examined the statistical properties of pre-coded video and discovered that the coding parameters can be recovered from pre-coded video because the compressed video is represented by a limited set of parameters. We present an algorithm to detect if a picture is intra-coded or original and extract coding parameters if the picture is intra-coded. We show with numerical results that the coding parameters can be effectively extracted from pre-coded video and used to reduce additional coding loss, thus greatly improving the performance of multiple-generation coding.
Assembly of a Bacteriophage-Based Template for the Organization of Materials into Nanoporous Networks (2014)

M13 bacteriophages are assembled via a covalent layer-by-layer process to form a highly nanoporous network capable of organizing nanoparticles and acting as a scaffold for templating metal-oxides. The morphological and optical properties of the film itself are presented as well as its ability to organize and disperse metal nanoparticles.
Machine Learning Models Identify Multimodal Measurements Highly Predictive of Transdiagnostic Symptom Severity for Mood, Anhedonia, and Anxiety (2019)

Combining resting-state functional MRI with select questions from clinical scales enabled high prediction of symptom severity across diagnostically distinct patient groups and revealed that connectivity measures beyond a few intrinsic resting-state networks may carry relevant information for symptom severity.
Engineering and comparison of non‐natural pathways for microbial phenol production (2016)

The non-renewable petrochemical phenol is used as a precursor to produce numerous fine and commodity chemicals, including various pharmaceuticals and phenolic resins. Microbial phenol biosynthesis has previously been established, stemming from endogenous tyrosine via tyrosine phenol lyase (TPL). TPL, however, suffers from feedback inhibition and equilibrium limitations, both of which contribute to reduced flux through the overall pathway. To address these limitations, two novel and non-natural phenol biosynthesis pathways, both stemming instead from chorismate, were constructed and comparatively evaluated. The first proceeds to phenol in one heterologous step via the intermediate p-hydroxybenzoic acid, while the second involves two heterologous steps and the associated intermediates isochorismate and salicylate. Maximum phenol titers achieved via these two alternative pathways reached as high as 377 ± 14 and 259 ± 31 mg/L in batch shake flask cultures, respectively. In contrast, under analogous conditions, phenol production via the established TPL-dependent route reached 377 ± 23 mg/L, which approaches the maximum achievable output reported to date under batch conditions. Additional strain development and optimization of relevant culture conditions with respect to each individual pathway is ultimately expected to result in further improved phenol production. Biotechnol. Bioeng. 2016;113: 1745-1754. © 2016 Wiley Periodicals, Inc.
Unscreening digital stored halftone images by logic filtering (1989)

We present a new method for retrieving a continuous-tone picture from a digitally created and stored halftone image. It gives substantially better detail than the traditional low pass filtering approach. If the screen parameters are known (or estimated), the pixel value of the halftone (black or white) reveals the possible grey range of the pixel value (above or below the threshold) in the original continuous-tone image. The grey range obtained here is broad. It is narrowed down by logic filtering. The logic filtering is basically an operation combining the grey range data in the neighborhood of a pixel. Its adaptive nature makes it possible to remove the screen effects while retaining the edge information.
Aflatoxin, A Human Carcinogen: Determination in Foods and Biological Samples by Monoclonal Antibody Affinity Chromatography (1988)

We have used monoclonal antibody technology to produce antibodies that recognize aflatoxins in order to develop noninvasive methods in conjunction with other chemical analytical techniques to monitor human exposure to environmental carcinogens. These methods require the ability to quantitate aflatoxins and their metabolites, including DNA and protein adducts, in readily accessible compartments such as serum and urine. The techniques permit efficient analysis of many samples in a relatively short time. Also, these monoclonal antibody affinity columns have been extremely useful for rapid isolation of aflatoxins from food and grain samples, as well as aflatoxin M1 from milk. Monoclonal antibody affinity methods are nondestructive to the aflatoxin molecule, so the sample aliquot can be used for confirmation. The use of monoclonal antibody preparative affinity columns represents a major, substantive breakthrough for analytical chemists and will be a generally applicable technology for isolation of many different substances.
ChemInform Abstract: Palladium‐Catalyzed Decarbonylative Dehydration of Fatty Acids for the Production of Linear Alpha Olefins. (2014)

Abstract The decarbonylative dehydration of fatty acids shows a good functional group tolerance and provides linear alpha olefins with only small amounts of internal olefins as side products.
The Skip-resistant Sprinkler Concept -- Theoretical Evaluation (2009)

This article presents a model for the response time of a sprinkler designed to reduce the skipping phenomenon experienced during large-scale fires. The model guides the design of a cylindrical shield intended to reduce drop impingement from nearby operating sprinklers. Several designs are experimentally tested and shown to reduce likely skipping when compared to the same sprinkler without a shield. The model is validated using a laboratory Plunge Tunnel apparatus to measure the effect of the shield on the thermal sensitivity of the sprinkler and its ability to intercept water drops. This work successfully demonstrates that shielding can decrease the response time of a sprinkler in drop-laden gas flow without causing a substantial increase in response time when exposed to a dry-gas flow. This is the first of two articles on the skip-resistant sprinkler concept. The following article evaluates the performance of the shield in actual fires.
Design, Synthesis, and Evaluation of Novel A<sub>2A</sub> Adenosine Receptor Agonists (2001)

We have been interested in the design, synthesis, and evaluation of novel adenosine A2A agonists. Through the use of comparative molecular field analysis (CoMFA) we have generated a training model that includes 78 structurally diverse A2A agonists and correlated their affinity for isolated rat brain receptors with differences in their structural and electrostatic properties. We validated this model by predicting the activity of a test set that included 24 additional A2A agonists. Our CoMFA model, which incorporates the physiochemical property of dipole and selects against A1 receptor activity, generated a correlated final model (r2 = 0.891) that provides for enhanced A2A selectivity and predictability. Synthesis, pharmacological evaluation, and modeling of four novel ligands further validate the utility and predictive power (r2 = 0.626) of the CoMFA model.
A new peritoneovenous shunt. (1986)

For today's most common peritoneovenous shunt catheters, the high incidence of complications (disseminated intravascular coagulation [DIC], pulmonary problems, clotting of the intravascular end, and shunt kinking) results in limited use. We have designed a new peritoneovenous shunt catheter in which we improved mechanical biocompatibility with respect to both the peritoneum and the vasculature. The device consists of: a multimicroorifice ascites filter in a double-chambered collecting device, a tubular compression pump with an intratubular check-valve, and a check-valve catheter at the intravascular end for positive exclusion of blood by reflux or back diffusion. This configuration filters the proteinaceous material from the ascites fluid, transports the filtrate into the blood stream, maintains patency, act to prevent DIC by inhibiting the creation and transport of microthrombi into the cardiovascular system, and eliminates clot formation at the intravascular end.
The scent of a site (2000)

Designers and researchers of users' interactions with the World Wide Web need tools that permit the rapid exploration of hypotheses about complex interactions of user goals, user behaviors, and Web site designs. We present an architecture and system for the analysis and prediction of user behavior and Web site usability. The system integrates research on human information foraging theory, a reference model of information visualization and Web data-mining techniques. The system also incorporates new methods of Web site visualization (Dome Tree, Usage Based Layouts), a new predictive modeling technique for Web site use (Web User Flow by Information Scent, WUFIS), and new Web usability metrics.
C-MEMS/NEMS: A Novel Technology for Nanoscale Material Formation From Graphite Fiber to Ni and Si Nanowires (2004)

Carbon microelectromechanical systems (C-MEMS) and carbon nanoelectromechanical system (C-NEMS) have received much attention because of the many potential applications. Some important applications include: DNA arrays, glucose sensors, microbatteries and biofuel cells. Microfabrication of carbon structures using current processing technology, including focused ion beam (FIB)1 and reactive ion etching (RIE)2, is time consuming and expensive. Low feature resolution, and poor repeatability of the carbon composition as well as widely varying properties of the resulting devices limits the use of screen printing of commercial carbon inks for C-MEMS. Our newly developed C-MEMS microfabrication technique is based on the pyrolysis of photo patterned resists34. Figure 1(a) shows a typical SEM image of C-MEMS/NEMS features with carbon posts connected by carbon fibers. Figure 1(b) shows a typical carbon post with carbon nanofibers on its side surfaces.
Reducing Bias in Production Speech Models (2017)

Replacing hand-engineered pipelines with end-to-end deep learning systems has enabled strong results in applications like speech and object recognition. However, the causality and latency constraints of production systems put end-to-end speech models back into the underfitting regime and expose biases in the model that we show cannot be overcome by "scaling up", i.e., training bigger models on more data. In this work we systematically identify and address sources of bias, reducing error rates by up to 20% while remaining practical for deployment. We achieve this by utilizing improved neural architectures for streaming inference, solving optimization issues, and employing strategies that increase audio and label modelling versatility.
GoldMine: automatic assertion generation using data mining and static analysis (2010)

We present GoldMine, a methodology for generating assertions automatically. Our method involves a combination of data mining and static analysis of the Register Transfer Level (RTL) design. We present results of using GoldMine for assertion generation of the RTL of a 1000-core processor design that is still in an evolving stage. Our results show that GoldMine can generate complex, high coverage assertions in RTL, thereby minimizing human effort in this process.
Effect of Crystallization on Proton Transport in Model Polymer Electrolyte Membranes (2014)

Polymer electrolyte membranes with bicontinuous microphases comprising soft hydrated domains and mechanically robust hydrophobic domains are used in a wide range of electrochemical devices including fuel cells and electrolyzers. The self-assembly, water uptake, and proton conductivity of model block copolymer electrolytes with semicrystalline hydrophobic blocks were investigated. A series of sulfonated polystyrene-block-polyethylene (PSS–PE) copolymers were synthesized to probe the interplay between crystallization, morphology, hydration, and proton transport. In block copolymer systems with amorphous hydrophobic blocks, it has been shown that higher water update and proton conductivity are obtained in low molecular weight systems. However, crystallization is known to disrupt the self-assembly of low molecular weight block copolymers. We found that this disruption results in lower water uptake and proton conductivity. Increasing molecular weight results in less morphological disruption and improvement in performance.