Miracle-dz/UniFAR-FTUs huggingface dataset:
Accuracy and Calibration Issues of Industrial Manipulators

Since initial stages of the adoption of industrial robot, the reason for their development was to replace humans in repetitive tedious and hazardous manual work. However, due to rise of production and falling prices, the use of robots becomes an economically viable solution in more and more applications (Hefele & Brenner, 2001). Nowadays, industrial robot manipulators are an important component of most automated manufacturing systems, and especially in the automotive industry. They have been used for many years in industry efficiently in mass production applications, where simple sequences of movements are pre-recorded in the memory of the robot controller. Nevertheless, manipulators are still rarely used in industrial applications with frequently changing operations where continuous reprogramming is needed, since this requires teaching the points for each operation and specifying the trajectories for the new sequences of motion using robots teach-pendants. This problem can be overcome only if the programs and the points are designed off-line using manipulators’ models and simulated work cells. The implementation of off-line programming (OLP) requires very good accuracy of manipulators, which can be achieved by a process of robot calibration to reduce the effects of the kinematic model errors due to the manufacturing tolerances of the robot elements and the assembly processes, in addition to changing working environment conditions and effects of tear and wear. This means that the model of the manipulator in the controller should be a precise representation of the mechanisms and allows the system to achieve the desired manipulator
Randomized Visual Phrases for Object Search Yuning Jiang Jingjing

Accurate matching of local features plays an essential role in visual object search. Instead of matching individual features separately, using the spatial context, e.g., bundling a group of co-located features into a visual phrase, has shown to enable more discriminative matching. Despite previous work, it remains a challenging problem to extract appropriate spatial context for matching. We propose a randomized approach to deriving visual phrase, in the form of spatial random partition. By averaging the matching scores over multiple randomized visual phrases, our approach offers three benefits: 1) the aggregation of the matching scores over a collection of visual phrases of varying sizes and shapes provides robust local matching; 2) object localization is achieved by simple thresholding on the voting map, which is more efficient than subimage search; 3) our algorithm lends itself to easy parallelization and also allows a flexible trade-off between accuracy and speed by adjusting the number of partition times. Both theoretical studies and experimental comparisons with the state-of-the-art methods validate the advantages of our approach.
Psychophysical study of image orientation perception

This paper presents a psychophysical study on the perception of image orientation. Some natural images are extremely difficult even for humans to orient correctly or may not even have a "correct" orientation; the study provides an upper bound for the performance of an automatic system. Discrepant detection rates based on only low-level cues have been reported, ranging from exceptionally high in earlier work to more reasonable in recent work. This study allows us to put the reported results in the correct perspective. In addition, the use of a large, carefully chosen image set that spans the "photo space" (in terms of occasions and subject matter) and extensive interaction with the human observers should reveal cues used by humans at various image resolutions. These can be used to design a robust automatic algorithm for orientation detection. A collection of 1000 images (mix of professional photos and consumer snapshots) is used in this study. Each image is examined by at least five observers and shown at varying resolutions. Object recognition is expected to be more difficult (impossible for some images) at the lowest resolution and easier as the resolution increases. At each resolution, observers are asked to indicate the image orientation, the level of confidence, and the cues they used to make the decision. This study suggests that for typical images, the upper bound on accuracy is close to 98% when using all available semantic cues from high-resolution images and 84% if only low-level vision features and coarse semantics from thumbnails are used. The study also shows that sky and people are the most useful and reliable among a number of important semantic cues.
Photoexcited Singlet and Triplet States of a UV Absorber Ethylhexyl Methoxycrylene

The excited states of UV absorber, ethylhexyl methoxycrylene (EHMCR) have been studied through measurements of UV absorption, fluorescence, phosphorescence and electron paramagnetic resonance (EPR) spectra in ethanol. The energy levels of the lowest excited singlet (S1) and triplet (T1) states of EHMCR were determined. The energy levels of the S1 and T1 states of EHMCR are much lower than those of photolabile 4‐tert‐butyl‐4′‐methoxydibenzoylmethane. The energy levels of the S1 and T1 states of EHMCR are lower than those of octyl methoxycinnamate. The weak phosphorescence and EPR Bmin signals were observed and the lifetime was estimated to be 93 ms. These facts suggest that the significant proportion of the S1 molecules undergoes intersystem crossing to the T1 state, and the deactivation process from the T1 state is predominantly radiationless. The photostability of EHMCR arises from the 3ππ* character in the T1 state. The zero‐field splitting (ZFS) parameter in the T1 state is D** = 0.113 cm−1.
Computation of closed loop eigenvalues associated with the optimal regulator problem for functional differential equations

A solution of the linear quadratic control problem involving functional differential equations gives a linear feedback control law which modifies the original system dynamics. Under certain assumptions, the eigenvalues of the modified linear system constitute a stable part of a spectrum of a hamiltonian operator associated with the optimization problem. These eigenvalues can be computed without solving the infinite dimensional Riccati equation. In this paper we present a method based on an earlier algorithm (constructed by A. Manitius, G. Payre and R. Roy) which solves directly the characteristic equation of the closed loop system, and compare it with a direct computation of eigenvalues of a symplectic hamiltonian matrix arising from a finite dimensional approximation of a functional differential equation.
Preparation, Characterization, Cytotoxicity and Biological Evaluation of 99mTc-Doxorubicin-Epigallocatechingallate Functionalized Gold Nanoparticles as a New Generation of Theranostic Radiopharmaceutical

Gold nanoparticles are currently used for the treatment of cancer through a myriad of modalities and delivery approaches. Conjugation of tumor imaging Single Photon Emitting Computed Tomographic (SPECT) radiopharmaceutical to gold nanoparticles will allow systemic targeting and imaging of cancer tissues simultaneously. In this study, gold nanoparticles (AuNPs) were prepared using Epigallocatechingallate (EGCG), loaded with doxorubicin (Dox), and characterized before and after doxorubicin conjugation. Cytotoxicity of EGCG-AuNPs and Dox-EGCG-AuNPs were evaluated against breast carcinoma (MCF-7) and hepatocellular carcinoma (HepG-2) cell lines demonstrating high cytotoxic effects of Dox-EGCG-AuNPs against both cell lines. Doxorubicin was radiolabeled with 99mTc and our new approach has optimized various labeling conditions resulting in a radiochemical yield of 93.5 ± 2.04%. Biodistribution of 99mTc-Dox-EGCG-AuNPs was studied in normal and tumor bearing mice following I.V. and intratumoral injections at different time intervals. Results showed high uptake of the intravenously injected 99mTc-Dox-EGCG-AuNPs in tumor tissue (22.45 %ID/g at 2 h). In addition, localized intratumoral injection of 99mTc-Dox-EGCG-AuNPs showed extremely high levels of uptake in tumor (80.22 %ID/g at 15 min) with high retention for extended periods post injection. Our results present prospects for the utility of 99mTc-Dox-EGCG-AuNPs as a multiplexed theranostic agent through SPECT imaging of tumor tissue and therapy through photothermal destruction of cancer tissue through the application of exogenous laser lights as well as through tyrosine phosphatases inhibitor (through EGCG), and topoisomerase II inhibitor (through doxorubicin) effects.
Infrared Detection Technology-Based Safety Monitoring of Oxygen Cylinder Filling Process

During the process of filling the oxygen cylinder, if the flammable gases such as H2 and C2H2 are also filled into the cylinder, there may be an explosion, which may threaten the production safety. In order to prevent this, a real-time detection of cylinder temperature plays a vital important role in the filling process of oxygen cylinder. This paper designs a temperature early warning system and error correction method. The system is mainly composed of a STM32 microprocessor, a MLX90614 infrared temperature measurement module and a LCD display. By measuring the temperature which reaches the limit of alarming, the cylinder temperature obtained by the real-time detecting of infrared temperature measurement module will be transferred to the single-chip microcomputer for further processing. In the end, data will be transmitted to the LCD display and the buzzer from the single-chip microcomputer.
Enabling Security in Cloud Storage SLAs with CloudProof

Several cloud storage systems exist today, but none of them provide security guarantees in their Service Level Agreements (SLAs). This lack of security support has been a major hurdle for the adoption of cloud services, especially for enterprises and cautious consumers. To fix this issue, we present CloudProof, a secure storage system specifically designed for the cloud. In CloudProof, customers can not only detect violations of integrity, write-serializability, and freshness, they can also prove the occurrence of these violations to a third party. This proof-based system is critical to enabling security guarantees in SLAs, wherein clients pay for a desired level of security and are assured they will receive a certain compensation in the event of cloud misbehavior. Furthermore, since CloudProof aims to scale to the size of large enterprises, we delegate as much work as possible to the cloud and use cryptographic tools to allow customers to detect and prove cloud misbehavior. Our evaluation of CloudProof indicates that its security mechanisms have a reasonable cost: they incur a latency overhead of only ∼15% on reads and writes, and reduce throughput by around 10%. We also achieve highly scalable access control, with membership management (addition and removal of members' permissions) for a large proprietary software with more than 5000 developers taking only a few seconds per month.
PKC-dependent activation of p 44 / p 42 MAPKs during myocardial ischemia-reperfusion in conscious rabbits

Ping, Peipei, Jun Zhang, Xinan Cao, Richard C. X. Li, Deying Kong, Xian-Liang Tang, Yumin Qiu, Srinivas Manchikalapudi, John A. Auchampach, Richard G. Black, and Roberto Bolli. PKC-dependent activation of p44/p42 MAPKs during myocardial ischemia-reperfusion in conscious rabbits. Am. J. Physiol. 276 (Heart Circ. Physiol. 45): H1468–H1481, 1999. —Using conscious rabbits, we examined the effect of ischemic preconditioning (PC) on p44 and p42 mitogen-activated protein kinases (MAPKs). We found that both isoforms contribute significantly to total MAPK activity in the heart (in-gel kinase assay: p44, 59 6 1%; p42, 41 6 1%). Ischemic PC (6 cycles of 4-min occlusion/4-min reperfusion) elicited a pronounced increase in total cellular MAPK activity (189%). This increase, which occurred exclusively in the nuclear fraction, was contributed by both isoforms (in-gel kinase assay: p44, 197%; p42, 1210%) and was accompanied by migration of the two proteins from the cytosolic to the nuclear compartment. In control rabbits, MAPK kinase (MEK)1 and MEK2, direct activators of p44 and p42 MAPKs, were located almost exclusively in the cytosolic fraction. Ischemic PC induced a marked increase in cytosolic MEK activity (1164%), whereas nuclear MEK activity did not change, indicating that MEK-induced activation of MAPKs occurred in the cytosolic compartment. Activation of MAPKs after ischemic PC was completely blocked by the protein kinase C (PKC) inhibitor chelerythrine. Selective overexpression of PKC-e in adult rabbit cardiomyocytes induced activation of both p44 and p42 MAPKs and reduced lactate dehydrogenase release during simulated ischemiareperfusion, which was abolished by the MEK inhibitor PD-98059. The results demonstrate that 1) ischemic PC induces a rapid activation of p44 and p42 MAPKs in hearts of conscious rabbits; 2) the mechanism of this phenomenon involves activation of p44 and p42 MAPKs in the cytosol and their subsequent translocation to the nucleus; and 3) it occurs via a PKC-mediated signaling pathway. The in vitro data implicate PKC-e as the specific isoform responsible for PKCinduced MAPK activation and suggest that p44/p42 MAPKs contribute to PKC-e-mediated protection against simulated ischemia. The results are compatible with the hypothesis that p44 and p42 MAPKs may play a role in myocardial adaptations to ischemic stress.
How Well Are High-End DSPs Suited for the AES Algorithms? AES Algorithms on the TMS320C6x DSP

The National Institute of Standards and Technology (NIST) has announced that one of the design criteria for the Advanced Encryption Standard (AES) algorithm is the efficient implementation in hardware and software. Digital Signal Processors (DSPs) are a highly attractive option for software implementations of the AES finalists since they perform certain arithmetic operations at high speeds, they are often smaller and more energy-efficient than general purpose processors, and they are commonly used for the rapidly growing market of embedded applications. In this contribution we investigate how well modern high-end DSPs are suited for the five final candidates chosen after the second AES conference. As a result of our work we will compare the optimized implementations of the algorithms on a state-of-the-art DSP.
Low-gap polymers incorporating a dicarboxylic imide moiety for near-infrared polymer light-emitting diodes

We report our investigations of the photophysical properties of a so-called “donor-acceptor” (D-A) electroluminescent polymer incorporating N-alkyl-4,7-di(thien-2-yl)-2,1,3-benzothiadiazole-5,6-dicarboxylic imide (DI) as the electron acceptor and benzo[1,2-b:4,5-b']dithiophene (BDT) acceptor units. Polymer light-emitting diodes (PLEDs) based on this copolymer give the best efficiency (external quantum efficiency EQE~0.04%) and show a pure near-infrared (NIR) electroluminescence (EL) with a peak at 870 nm.
Influence of chopped laser light onto the electronic transport through atomic‐sized contacts

This paper reports on the influence of laser irradiation onto the electrical conductance of gold nanocontacts established with the mechanically controllable breakjunction technique. We concentrate here on the study of reversible conductance changes which can be as high as 200%. We investigate the dependence on the initial conductance of the contacts, the wavelength, the intensity and position of the laser spot with respect to the sample. Under most conditions an enhancement of the conductance is observed. We discuss several physical mechanisms which might contribute to the observed effect including thermal expansion, rectification and photon‐assisted transport. We conclude that thermal expansion is not the dominating one.
Hybrid SVM - Random Forest classication system for oral cancer screening using LIF spectra

In this paper, a system for oral cancer screening using Laser Induced Fluorescence(LIF) has been developed. A hybrid approach of classification using Support Vector Machine (SVM) and Random Forest (RF) classifier's is proposed. Performance of the classifier is evaluated using several features types such as Wavelet, DFT, LDFT, ILDFT, DCT, LDCT and Slopes features. The most discriminating features are selected using Recursive Feature Elimination(RFE). Analysis of the problem of subset selection from SVM-RFE ranked list is also performed. The hybrid approach has been compared with stand-alone SVM, SVM-RFE and RF classifiers. The proposed technique improves the performance of the classification system significantly. The novelty of the approach lies in the way the most significant features are exstracted in separate modules to arrive at a decision and how the decision are then fused in an intelligent fashion to arrive at a final classification.
A Content Vector Model for Text Classification

As a popular rank-reduced vector space approach, Latent Semantic Indexing (LSI) has been used in information retrieval and other applications. In this paper, an LSI-based content vector model for text classification is presented, which constructs multiple augmented category LSI spaces and classifies text by their content. The model integrates the class discriminative information from the training data and is equipped with several pertinent feature selection and text classification algorithms. The proposed classifier has been applied to email classification and its experiments on a benchmark spam testing corpus (PU1) have shown that the approach represents a competitive alternative to other email classifiers based on the well-known SVM and naive Bayes algorithms.
Spin Injection into Graphene from Heusler Alloy Co2MnGe (111) Surface: A First Principles Study

To obtain a larger spin signal for use in graphene-based spintronic devices, the spin injection efficiency needs to be enhanced. Previously researchers can increase the efficiency by inserting a tunnel barrier such as Al2O3 or MgO between ferromagnet and graphene. However, the key value in spin transport is still very low because of the conductance mismatch as well as the limit to fabricate a high-quality tunnel barrier at the junction surface. Here we use a highly spin-polarized ferromagnetic material—Heusler alloy Co2MnGe as a substitutional scheme without the tunnel barrier. The spin injection efficiency of our Co2MnGe (111)/graphene junction can be as high as 73% which is much higher than 1% of ferromagnet/graphene or 30% of ferromagnet/oxide/graphene using first-principles study. The large spin polarization can be explicated by analyzing the transmission spectrum at the nonequilibrium state.
Characterization of a Methanosarcina acetivorans mutant unable to translate UAG as pyrrolysine

The methyltransferases initiating methanogenesis from trimethylamine, dimethylamine and monomethylamine possess a novel residue, pyrrolysine. Pyrrolysine is the 22nd amino acid, because it is encoded by a single amber (UAG) codon in methylamine methyltransferase transcripts. A dedicated tRNACUA for pyrrolysine, tRNAPyl, is charged by a pyrrolysyl‐tRNA synthetase with pyrrolysine. As the first step towards the genetic analysis of UAG translation as pyrrolysine, a 761 base‐pair genomic segment in Methanosarcina acetivorans containing the pylT gene (encoding tRNAPyl) was deleted and replaced by a puromycin resistance cassette. The ΔppylT mutant lacks detectable tRNAPyl, but grows as wild‐type on methanol or acetate. Unlike wild‐type, the ΔppylT strain cannot grow on any methylamine, nor use monomethylamine as sole nitrogen source. Wild‐type cells, but not ΔppylT, have monomethylamine methyltransferase activity during growth on methanol. Immunoblot analysis indicated monomethylamine methyltransferase was absent in ΔppylT. The phenotype of ΔppylT reveals the deficiency in methylamine metabolism expected of a Methanosarcina species unable to decode UAG codons as pyrrolysine, but also that loss of pylT does not compromise growth on other substrates. These results indicate that in‐depth genetic analysis of UAG translation as pyrrolysine is feasible, as deletion of pylT is conditionally lethal depending on growth substrate.
Comorbid chronic diseases in depressed and non-depressed patients in family practice.

INTRODUCTION Depression is one of the five most frequent disorders in primary care practice and often remains unrecognized. One of the reasons why depression often passes unnoticed is comorbidity - a number of different chronic diseases coexist with depression, especially in elderly patients. AIM The aim of this research was to assess the difference between depressed and non-depressed patients regarding somatic and mental comorbidity. The differences in drug use were also examined. SUBJECTS AND METHODS Five hundred successive adult patients visiting family physicians in Rijeka, Croatia, were polled using the Beck Depression Inventory and a general questionnaire which was created for the purpose of the study. The existing medical records were also used. RESULTS Elevated depression level was determined in 48.1% of the examinees. These patients were suffering from larger number of chronic diseases (X=1.23) than non-depressed patients (X=0.70; t=5.07; p<0.001; z=4.93; p<0.001), especially cardiac, mental, renal and osteomuscular diseases. Depressed persons used significantly more drugs (X=1.28) than non-depressed patients (X=0.58; t=6.10; p<0.001; z=5.78; p<0.001), especially antirheumatics, analgesics, sedatives, antidepressants, antiallergics and diuretics. CONCLUSION The research results point to a necessity of routine screening and early treatment of depression in patients with chronic diseases in primary care practice.