Miracle-dz/UniFAR-FTUs huggingface dataset:
Sentiment Analysis of Microblog Posts from a Crisis Event using Machine Learning

With social media services becoming more and more popular, there now exists a constant stream of opinions publicly available on the Internet. These opinions can be analyzed to find the users’ sentiments towards things. One example of interest is to see how people are feeling during a crisis situation to get a better understanding about what kind of help that would be the most useful at the moment. The goal of this degree project has been to see if it is possible to create an automatic classifier, based on machine learning techniques, that can accurately determine whether a microblog post written during a political event in Russia is for, against, or neutral towards the group of people being at the center of the event. Because of the shortness of microblog texts and the informal language often used in them, the problem is expected to be more difficult compared to sentiment analysis of normal length texts. A number of different machine learning algorithms were studied along with different ways to convert the microblog texts into a representation that can be used by the classifier algorithms. The most promising of these algorithms and representations were implemented and tested to see if an accurate classifier could be obtained. The results show that the algorithms are not good enough to create a sufficiently accurate classifier with the training data used. One major factor is believed to be the small training data set used. A better classifier could potentially be achieved by training the classifier with more microblog posts. It is of interest to examine other sentiment classifications of microblog posts, since the one used in this project is believed to be especially difficult. This study and previous research on similar classifications suggest that this is a difficult problem that requires more work if an accurate classifier is to be obtained.
An Image Analysis Method for the Precise Selection and Quantitation of Fluorescently Labeled Cellular Constituents

The accurate measurement of the morphological characteristics of cells with nonuniform conformations presents difficulties. We report here a straightforward method using immunofluorescent staining and the commercially available imaging program Adobe Photoshop, which allows objective and precise information to be gathered on irregularly shaped cells. We have applied this measurement technique to the analysis of human muscle cells and their immunologically marked intracellular constituents, as these cells are prone to adopting a highly branched phenotype in culture. Use of this method can be used to overcome many of the long-standing limitations of conventional approaches for quantifying muscle cell size in vitro. In addition, wider applications of Photoshop as a quantitative and semiquantitative tool in immunocytochemistry are explored.
PLC-based Implementation of Process Observation and Fault Detection for Discrete Event Systems

This paper demonstrates how PLC-code for process observation can be automatically generated from a discrete event process model expressed as either PLC-code or as extended finite automata (EFA). The generated code will also detect faults due to unexplainable sensor signal changes. Extended finite automata are automata augmented with variables and transition conditions. These features make EFA suitable for modeling systems that interact with a PLC through binary signals. In order for the generated observer code to work, the EFA model must fulfill some requirements concerning determinism and observability. These requirements are here formalized. Using the PLC-languages of the IEC 61131 standard for process modeling narrows the gap between the pragmatic industry and the formal academia. The cyclic execution model of a PLC is here replaced by execution at stochastic intervals.
Online learning as an LQG optimal control problem with random matrices

In this paper, we combine optimal control theory and machine learning techniques to propose and solve an optimal control formulation of online learning from supervised examples, which are used to learn an unknown vector parameter modeling the relationship between the input examples and their outputs. We show some connections of the problem investigated with the classical LQG optimal control problem, of which the proposed problem is a non-trivial variation, as it involves random matrices. We also compare the optimal solution to the proposed problem with the Kalman-filter estimate of the parameter vector to be learned, demonstrating its larger smoothness and robustness to outliers. Extension of the proposed online-learning framework are mentioned at the end of the paper.
Safety and efficacy of travoprost solution for the treatment of elevated intraocular pressure

Travoprost is a prostaglandin analogue widely used for reducing intraocular pressure (IOP) in patients affected with glaucoma and ocular hypertension. It exerts its ocular hypotensive effect through the prostaglandin FP receptors, located in the ciliary muscle and the trabecular meshwork. Several studies have shown that topical administration of travoprost induces a mean IOP reduction ranging from 25% to 32%, and sustained throughout the 24-hour cycle. When compared with timolol, travoprost is more effective at reducing IOP, while generally no difference has been found in the head-to-head comparison with other prostaglandin analogues. The fixed combination of travoprost and timolol has demonstrated a hypotensive efficacy comparable to the concomitant administration of the two drugs. Recently, a new preservative-free formulation of travoprost 0.004% has been marketed for reducing tolerability-related problems in subjects affected with ocular surface disease. Low rates of topical and systemic adverse reactions, strong ocular hypotensive efficacy, and once-a-day dosing make travoprost a first-line treatment for patients affected with elevated IOP.
Chlorinated insecticides in the body fat of people in India.

The storage of insecticides in the body-fat of persons has previously been studied in several countries (e.g., England, France, USA) and food has been shown to be the main source from which DDT and perhaps other insecticides are absorbed. In view of the differences in dietary habits in India, a study was made to determine whether there are differences in the storage of chlorinated hydrocarbon insecticides in persons in India from that in persons in other countries.It was found that civilians in the Delhi area with no occupational exposure to insecticides had a significantly greater deposit in their fat of DDT-related compounds and HCH than do comparable persons in the USA, but less dieldrin and heptachlor epoxide. Storage in military personnel in other Indian cities from which samples were obtained was similar to that in the USA for most DDT-related compounds and HCH but, as in Delhi, lower for dieldrin and heptachlor epoxide.
Effect of Benzothiazoline Ligand and Corresponding Organoantimony(V) Derivative on the Reproductive System of Male Rats

Benzothiazoline HNC6H4SC⎴(C6H5)CH:C(OH)COOCH3 1 prepared by the condensation reaction of aroyl pyruvate and 2-aminothiophenol has been treated with Ph3Sb(OPri)2 to yield Ph3Sb[SC6H4NC(C6H5)CH:CO⎴COOCH3] 2. These compounds have been characterized by elemental analyses and molecular weight determinations. The probable structures of the ligand as well as antimony complex have been tentatively proposed on the basis of IR and NMR (1H and 13C) spectral evidences. Both compounds have been tested for their antifertility activity in male albino rats. The oral administration of compounds 1 and 2 at the dose level of 10 mg/rat/day significantly reduced the weights of testes, epididymides, ventral prostate, and seminal vesicles. The production of preleptotene spermatocytes was decreased by 36.57%; 57.23%, pachytene spermatocytes by 40.06%; 62.01%, and secondary spermatocytes by 52.45%; 63.22%, following the treatment of compounds 1 and 2, respectively. The marked reduction in sperm motility and density resulted in infertility by 100%. Significant (P < .01) alterations were found in biochemical parameters of reproductive organs in treated animals as compared to control group. It is concluded that all these effects may finally impair the fertility of male rats.
Labeling schemes for flow and connectivity

This paper studies labeling schemes for flow and connectivity functions. A flow labeling scheme using <i>O</i>(log <i>n</i> ṡ log <i>ŵ</i>)-bit labels is presented for general <i>n</i>-vertex graphs with maximum (integral) capacity <i>ŵ</i>. This is shown to be asymptotically optimal. For edge-connectivity, this yields a tight bound of Θ(log<sup>2</sup> <i>n</i>) bits. A <i>k</i>-vertex connectivity labeling scheme is then given for general <i>n</i>-vertex graphs using at most 3 log <i>n</i> bits for <i>k</i> = 2, 5 log <i>n</i> bits for <i>k</i> = 3 and 2<sup><i>k</i></sup> log <i>n</i> bits for <i>k</i> > 3. Finally, a lower bound of Ω(<i>k</i> log <i>n</i>) is established for <i>k</i>-vertex connectivity on <i>n</i>-vertex graphs where <i>k</i> is polylogarithmic in <i>n. </i>
Non-Hodgkin lymphoma during the 1st trimester of pregnancy

References Cantu C, Barinagarrementeria F. 1993. Cerebral venous thrombosis associated with pregnancy and puerperium: review of 67 cases. Stroke 24:1880 – 1884. Kimber J. 2002. Cerebral venous sinus thrombosis. Quarterly Journal of Medicine 95:137 – 142. Lockhart EM, Baysinger CL. 2007. Intracranial venous thrombosis in the parturient. Anesthesiology 107:652 – 658. Mehraein S, Ortwein H, Busch M et al. 2003. Risk of recurrence of cerebral venous and sinus thrombosis during subsequent pregnancy and puerperium. Journal of Neurology, Neurosurgery, and Psychiatry 74: 814 – 816. Stefi ni R, Latronica N, Cornali C et al. 1999. Emergent decompressive craniectomy in patients with fi xed dilated pupils due to cerebral venous and dural sins thrombosis: report of three cases. Neurosurgery 45:626 – 629.
Instrumental and sensory measurements of Ezine cheese texture.

Instrumental and sensorial methods of texture profile analysis (TPA) were used to describe textural properties of Ezine cheese. Ezine cheeses produced by a local producer were stored in tin plate containers (2 kg each) at 2-4°C for 12 months, and textural changes of cheese samples were determined during storage. Results of instrumental texture profile analysis showed that aging made cheese samples more adhesive and less cohesive. In sensory analysis, springiness and number of particles scores were lower at the end of the ripening than other days. Significant correlations were found between sensory attributes including rate of recovery and number of particles with instrumental springiness, instrumental gumminess, instrumental chewiness and instrumental resilience.
Modeling Evolving Relationships Between Characters in Literary Novels

Studying characters plays a vital role in computationally representing and interpreting narratives. Unlike previous work, which has focused on inferring character roles, we focus on the problem of modeling their relationships. Rather than assuming a fixed relationship for a character pair, we hypothesize that relationships temporally evolve with the progress of the narrative, and formulate the problem of relationship modeling as a structured prediction problem. We propose a semi-supervised framework to learn relationship sequences from fully as well as partially labeled data. We present a Markovian model capable of accumulating historical beliefs about the relationship and status changes. We use a set of rich linguistic and semantically motivated features that incorporate world knowledge to investigate the textual content of narrative. We empirically demonstrate that such a framework outperforms competitive baselines.
The Development of Therapeutic and Preventive Vaccines for Gastric Cancer and Helicobacter pylori

Gastric cancer is one of the most important worldwide public health problems. Convincing epidemiologic and etiologic associations have been made between the development of gastric cancer and infection with Helicobacter pylori. H. pylori not only has adapted to survive within the harsh environment of the stomach but also is able to modulate and avoid endogenous immune responses. The design and creation of efficacious vaccine strategies against H. pylori requires an understanding of the complex interactions that make up mucosal immunity. An effective vaccine strategy against H. pylori has the potential to affect significantly on population health worldwide.
ATLAS superconducting toroids and solenoid

The ATLAS particle detector in the Large Hadron Collider at CERN features a hybrid system of four superconducting magnets: a Central Solenoid surrounded by 2 End-cap Toroids and a Barrel Toroid. The magnet system dimensions are 20 m in diameter and 26 m in length. With its 1.55 GJ stored energy in air, it actually is the largest superconducting magnet in the world. The construction of the magnets has started in 1998 and will end in 2006 with the completion of the installation underground. Currently, in October 2004, practically all magnet parts are manufactured and delivered to CERN for final integration. The first two out of 8 full size 25/spl times/5 m/sup 2/ size coils for the Barrel Toroid have been completed and tested while the other 6 are near to completion as well. The production of the so-called End-Cap Toroids is progressing well. The Central Solenoid is complete and ready for installation. The installation underground of the entire system including its services has commenced. In the paper the main features of the magnets, their common infrastructure and services are reviewed and the status of realization presented.
All Spraying Processes for the Fabrication of Robust, Self‐Healing, Superhydrophobic Coatings

The spraying method is developed for the fabrication of mechanically robust and self-healing superhydrophobic coatings, which comprise highly porous and rough polyelectrolyte coatings preserved with low-surface-energy healing agents. These coatings can repetitively and autonomically restore superhydrophobicity in humid environments. After depletion of healing agents, superhydrophobic coatings with dual healing agents can regain their self-healing ability by re-spraying fluoroalkylsilane.
FGF‐2 Induces Nerve Growth Factor Expression in Cultured Rat Hippocampal Neurons

Basic fibroblast growth factor (FGF‐2) is expressed in the hippocampus and has been demonstrated to promote neurotrophic effects on hippocampal neurons in vifro. We show that these neurons, even at the embryonic stage, express the mRNAs encoding the FGF receptors, bek and flg. We have characterized the effects of FGF‐2 on the expression of nerve growth factor (NGF) using the reverse transcription‐coupled polymerase chain reaction, in situ hybridization and immunocytochemistry. In hippocampal neurons grown in the absence of serum, FGFB exposure induces an important elevation of NGF mRNA expression followed by a marked increase in NGF immunoreactivity. Combining in situ hybridization with an NGF probe and microtubule‐associated protein‐2 (MAP2) immunocytochemistry we show that the induction of NGF mRNA by FGF‐2 is localized in MAP2–immunoreactive neurons. These results suggest roles for FGF‐2 in the development of hippocampal neurons and in the maintenance of connections in the central nervous system, particularly the septo‐hippocampal pathway, via the regulation of an important neurotrophins
End-systolic pressure-volume and MVO2-pressure-volume area relations of isolated rat hearts.

We tested the utility of a standard isolated, crystalloid-perfused, isovolumic rat heart preparation for studying ventricular metabolism in terms of the myocardial oxygen consumption-pressure-volume area (MVO2-PVA) relations. The end-systolic pressure-volume relations (ESPVRs) determined between volumes of 0.15 and 0.65 ml were fit equally well by linear and nonlinear regression analysis within the data range but predicted widely differing volume-intercept (Vo) values. Linear regression analysis of the ESPVRs provided a mean slope (Ees) of 419 +/- 186 mmHg.g. ml-1 and Vo of 0 +/- 0.12 ml, respectively (n = 6). The MVO2-PVA relations were linear with a slope and MVO2 intercept of 1.30 +/- 0.31 x 10(-5) ml O2.mmHg-1.ml-1 and 0.38 +/- 0.09 x 10(-3) ml O2-beat-1.g-1, respectively. These MVO2-PVA parameters were not significantly different from those obtained when nonlinear regression analysis was applied to the ESPVR. Decreasing perfusate calcium concentration ([Ca2+]) (n = 7) resulted in a downward shift in the ESPVR, a decrease in the MVO2-PVA intercept (0.52 +/- 0.26 vs. 0.34 +/- 0.20 x 10(-3) ml O2.beat-1.g-1, P less than 0.01), and no significant change in the MVO2-PVA slope (1.33 +/- 0.47 vs. 1.57 +/- 0.69 x 10(-5) ml O2.mmHg-1.ml-1, NS). We conclude that this preparation may be a useful alternative to more expensive preparations for selected experiments in cardiac energetics.
Algorithm for backrub motions in protein design

Motivation: The Backrub is a small but kinematically efficient side-chain-coupled local backbone motion frequently observed in atomic-resolution crystal structures of proteins. A backrub shifts the Cα–Cβ orientation of a given side-chain by rigid-body dipeptide rotation plus smaller individual rotations of the two peptides, with virtually no change in the rest of the protein. Backrubs can therefore provide a biophysically realistic model of local backbone flexibility for structure-based protein design. Previously, however, backrub motions were applied via manual interactive model-building, so their incorporation into a protein design algorithm (a simultaneous search over mutation and backbone/side-chain conformation space) was infeasible. Results: We present a combinatorial search algorithm for protein design that incorporates an automated procedure for local backbone flexibility via backrub motions. We further derive a dead-end elimination (DEE)-based criterion for pruning candidate rotamers that, in contrast to previous DEE algorithms, is provably accurate with backrub motions. Our backrub-based algorithm successfully predicts alternate side-chain conformations from ≤0.9 Å resolution structures, confirming the suitability of the automated backrub procedure. Finally, the application of our algorithm to redesign two different proteins is shown to identify a large number of lower-energy conformations and mutation sequences that would have been ignored by a rigid-backbone model. Availability: Contact authors for source code. Contact: brd+ismb08@cs.duke. edu
Development of Terahertz Imaging System

Abstract: We demonstrate the Terahertz (THz) generation and detection usingphotoconductive antennas coupled to a 1550 nm femtosecond laser. The PulsedTerahertzTime Domain technique is used to generate 0.1 to 0.7THz electromagnetic radiation. OurTHz imaging setup consists of telecommunication grade fiber optic components operatingat 1550 nm wavelength. The results ofTHz imaging experiments performed on a varietyof concealed metallic and non-metallic objects are reported to demonstrate identificationof hidden objects.Keywords : Terahertz, Pulsed Terahertz Time Domain, THz imaging, Photoconductive . antenna. INTRODUCTION Terahertz (THz) radiation, orT-Rays, refers to the regionof the electromagnetic spectrum betWeen 100 G Hz and 10 THz(3 mm to 0.03 mm wavelength). It is a non-ionizing and lowenergy radiation, typically betWeen 0.414 ro 41.43meV [1]. THzregion is betWeen the microwaves and infrared band ofelecrromagnetic spectrum, also known as the "THz Gap" region.Thermal sources are known ro produce weak incoherent THzradiation. The Schottky diode, gyrouon, free electron laser,quantum cascade lasers, synchrotron light sources andphotomixing sources are some other known sources of THzradiation. Golay cell and liquid helium cooled bolometer are somecommonly used THz detectots. The THz gap tegion has largelyremained unrapped due to non availability of high power sourcesand sensitive detectors.In the last tWo decades, there has been significant researchinterest in the field of terahertz technology for imaging andspectroscopy [2]. Teraherrz can penetrate through manycommonly used materials, such as textile, plastic, paper,cardboard, wood, ceramic and leather with very low arrenuation.It has numerous applications arising our of unique materialcharacteristics, some being for security applications [3], qualityconrrol [4], biomedical imaging [5] etc. The use ofTHz for non-destructive or non-invasive imaging of objeCtS has been widelyreponed. It provides a mechanism for inspecting hiddenexplosives, chemical or biological threats and therefore useful fordefence and security applications. In 1995, Hu and Nuss(AT&T Bell Laboratories) presented the first images obtainedwith an optoelecrronic THz system [6]. These THz images revealthe strucrure of metal conracts of a packaged integrated circuitchip and visualize the water disrribution in a leaf.Conventional imaging performed using visible light containsonly the amplirude information. In comparison, THz imagingcontains functional characreristics, where each pixel of the imagecontains specrral information [7]. Pump-probe arrangement interahertz pulsed imaging systems is used for this purpose so thatboth amplirude and phase information can be gathered [7]. We report development of a pulsed THz Time Domainimaging system. Our setup is based on commercially availablefiber optic componenrs used in telecommunication and, useof photoconducrive antenna (PCA) for THz generation as well
Introspective Generative Modeling: Decide Discriminatively

We study unsupervised learning by developing introspective generative modeling (IGM) that attains a generator using progressively learned deep convolutional neural networks. The generator is itself a discriminator, capable of introspection: being able to self-evaluate the difference between its generated samples and the given training data. When followed by repeated discriminative learning, desirable properties of modern discriminative classifiers are directly inherited by the generator. IGM learns a cascade of CNN classifiers using a synthesis-by-classification algorithm. In the experiments, we observe encouraging results on a number of applications including texture modeling, artistic style transferring, face modeling, and semi-supervised learning.
Helping language development.

Come with us to read a new book that is coming recently. Yeah, this is a new coming book that many people really want to read will you be one of them? Of course, you should be. It will not make you feel so hard to enjoy your life. Even some people think that reading is a hard to do, you must be sure that you can do it. Hard will be felt when you have no ideas about what kind of book to read. Or sometimes, your reading material is not interesting enough.