Miracle-dz/UniFAR-FTUs huggingface dataset:
The Bottlenecks: Scalability + Conﬁrmation Times

Today, we are relying on, and trusting, powerful companies (e.g., VISA, Facebook, Uber, Wells Fargo) with our data, our ability to financially transact, and engage in businesses with each other. We don’t have the option of not “trusting” them and “verifying” how they operate. The emergence of cryptocurrencies such as Bitcoin and Ethereum bring forth the promise of a new “decentralized” Internet, which is more transparent, fair, and secure.
Isoform Selectivity of 3125 I-Iodo-- Methyl-L-Tyrosine Membrane Transport in Human L-Type Amino Acid Transporters

3-123I-Iodo-methyl-L-tyrosine (123I-IMT) has been developed for SPECT of amino acid transport imaging. We examined the isoform selectivity of 125I-IMT transport of the 2 human L-type amino acid transporters, hLAT1 and hLAT2, with human 4F2hc-coexpressed Xenopus laevis oocytes. Methods: An uptake study of 125I-IMT was performed using transporter-expressed X. laevis oocytes. Oocytes were injected with 17.6 ng of hLAT1 or hLAT2 complementary RNA (cRNA) and 7.4 ng of h4F2hc cRNA in a molar ratio of 1:1. Two days after injection, the uptake of 125I-IMT was measured in the Na -free uptake solution containing 18.5 kBq of noncarrieradded 125I-IMT. After incubation for 30 min at room temperature, radioactivity of the oocytes was determined. Results: Of the 2 hLAT isoforms and h4F2hc-coexpressed X. laevis oocytes, 125IIMT uptake via hLAT1 was 5.95-fold higher than that via hLAT2 (P 0.005). Conclusion: 125I-IMT transport was hLAT1 selective. Investigations on the isoform selectivity of 125I-IMT transport with other transporters are anticipated.
Modelling of a motor compressor group feeding a hydrogen fuel cell using recurrent neural networks

Artificial recurrent neural networks (ARNN) are well known as effective modelling tools for complex dynamic systems. However, easily implementing training algorithms such as back propagation through time and quasi-Newton algorithms require great amounts of memory and computational resources; moreover, those grow geometrically with the size of the time series (number of points in the sample used as training example). In the case of multiple output systems, the complexity of these algorithms grows also in a geometrical form, related to the number of system outputs and the number of hidden layers in the network, thus increasing the computation time to obtain a satisfactory solution. In this paper, some methodological and architectural solutions are proposed to overcome this drawback. The implementation simplicity of back propagation and quasi-Newton algorithms is nevertheless maintained, only their memory consumption and computation time is optimized to obtain a satisfactory dynamical model of a motor compressor group feeding a hydrogen fuel cell (in fact, a multiple input, multiple output system). To accomplish this goal, an artificial feedback loop is implemented and a parallel structure of one-output networks is selected as network architecture. The obtained results show that this architectural and methodological approach can be an interesting training option for complex multiple output system modelling using recurrent neural networks.
Cerebral Cortical A&bgr;42 and PHF-&tgr; in 325 Consecutive Brain Autopsies Stratified by Diagnosis, Location, and APOE

Abstract We used a novel approach to molecular quantification in standard fixed and embedded tissue to measure amyloid &bgr; 42 (A&bgr;42) and paired helical filament-&tgr; (PHF-&tgr;) in frontal, temporal, and parietal cortices from 325 consecutive brain autopsies collected as part of a population-based study of brain aging and incident dementia in the Seattle area. We observed significant effects of APOE &egr;4 on A&bgr;42 levels in both diagnostic groups by disease stage and region. In contrast, we did not observe a significant effect of APOE &egr;4 on PHF-&tgr; levels by disease stage in any region. Levels of A&bgr;42 and PHF-&tgr; in cerebral cortex were correlated more strongly in the Dementia group, and these measures had independent explanatory power for dementia beyond those of standard neuropathologic indices. Associations between Lewy body disease and A&bgr;42 or PHF-&tgr; levels and between A&bgr;42 levels and microvascular brain injury suggested that these comorbid diseases enhanced the penetrance of Alzheimer disease. Our novel approach brings additional insights into the molecular pathogenesis of common causes of dementia and may serve as a platform for future studies pursuing associations between molecular changes in Alzheimer disease and genetic or environmental risk.
A preliminary study of aerosolized recombinant human deoxyribonuclease I in the treatment of cystic fibrosis.

CYSTIC fibrosis is a lethal recessive genetic disorder caused by mutations of the cystic fibrosis transmembrane conductance regulator, a gene comprising 27 exons and 250 kilobases that resides on chromosome 7.1 2 3 4 5 The most important clinical manifestation of cystic fibrosis is chronic progressive lung disease, which despite aggressive antibiotic therapy and chest physiotherapy, remains the principal cause of disability and death.1 Airway secretions play a major part in the respiratory dysfunction in cystic fibrosis. The secretions are thick, viscous, and difficult to expectorate, and they obstruct airways and contribute to reduced lung volumes and expiratory flow rates.1 , 2 , 6 The presence of high .
Three new species of the genus Leptonetela from Greece (Araneae, Leptonetidae)

Abstract Three new species of the spider genus Leptonetela collected from caves in Greece are described: Leptonetela arvanitidisi sp. n. (male & female), Leptonetela paragamiani sp. n. (male & female) and Leptonetela penevi sp. n. (male & female). Detailed illustrations of the new species are provided. DNA barcodes were obtained for future use.
Measurement of planar clothes by image processing for automatic inspection

This paper presents an image processing system for measurement of clothes such as T-shirts automatically to make clothes inspection process more effective. The proposed system uses a camera arranged vertical to inspection stands and captures grayscale images of clothes. First, the contours of clothes in images are extracted by Level Set Method. The proposed system uses edge information in extracting the contours. The inspection stand's color is set to be different from the subject of measurement so that edge information can be obtained easily. Second, straight or curve lines are fitted to the contours. In the fitting, regions near the intersection points of the contours are eliminated, so that the effect of local wrinkle at armpit by flexibility of T-shirts is reduced. The points of dimensional measurements are detected as each intersection point of fitted lines. Finally, the dimensions of clothes are calculated by Euclidean distance.
Murine Sall1 Represses Transcription by Recruiting a Histone Deacetylase Complex*

The multi-zinc finger proteins of the Sal family regulate organogenesis. Genetic evidence from Drosophilahas shown that spalt (sal) can alter gene expression in a cell autonomous fashion, but Sal proteins have never been directly analyzed for their ability to activate or repress transcription. In this report, we show that a member of the Sal family, mouse Sall1, is a potent transcriptional repressor. When fused to a heterologous DNA-binding domain, Sall1 represses transcription of a luciferase reporter by over 100-fold. Expression of the N terminus alone is sufficient for dose-responsive repression that, as shown by deletion analysis, requires the extreme N-terminal amino acids of the protein. The N terminus of Sall1 can repress at both short and long range relative to the promoter, and treatment with the histone deacetylase (HDAC) inhibitor, trichostatin A, alleviates repression by 3-fold. The same regions of the protein that are required for repression physically interact with components of chromatin remodeling complexes, HDAC1, HDAC2, RbAp46/48, MTA-1, and MTA-2. Finally, we demonstrate that Sall1 is localized to discrete nuclear foci and this localization depends on the N-terminal repression domain. Together, these results suggest that the N terminus of mouse Sall1 can recruit HDAC complexes to mediate transcriptional repression.
Randomised double-blind placebo-controlled trial of thrombolytic therapy with intravenous alteplase in acute ischaemic stroke (ECASS II). Second European-Australasian Acute Stroke Study Investigators.

BACKGROUND Thrombolysis for acute ischaemic stroke has been investigated in several clinical trials, with variable results. We have assessed the safety and efficacy of intravenous thrombolysis with alteplase (0.9 mg/kg bodyweight) within 6 h of stroke onset. METHODS This non-angiographic, randomised, double-blind, trial enrolled 800 patients in Europe, Australia, and New Zealand. Computed tomography was used to exclude patients with signs of major infarction. Alteplase (n=409) and placebo (n=391) were randomly assigned with stratification for time since symptom onset (0-3 h or 3-6 h). The primary endpoint was the modified Rankin scale (mRS) at 90 days, dichotomised for favourable (score 0-1) and unfavourable (score 2-6) outcome. Analyses were by intention to treat. FINDINGS 165 (40.3%) alteplase-group patients and 143 (36.6%) placebo-group patients had favourable mRS outcomes (absolute difference 3.7%, p=0.277). In a posthoc analysis of mRS scores dichotomised for death or dependency, 222 (54.3%) alteplase-group and 180 (46.0%) placebo-group patients had favourable outcomes (score 0-2; absolute difference 8.3%, p=0.024). Treatment differences were similar whether patients were treated within 3 h or 3-6 h. 85 (10.6%) patients died, with no difference between treatment groups at day 90+/-14 days (43 alteplase, 42 placebo). Symptomatic intracranial haemorrhage occurred in 36 (8.8%) alteplase-group patients and 13 (3.4%) placebo-group patients. INTERPRETATION The results do not confirm a statistical benefit for alteplase. However, we believe the trend towards efficacy should be interpreted in the light of evidence from previous trials. Despite the increased risk of intracranial haemorrhage, thrombolysis with alteplase at a dose of 0.9 mg/kg in selected patients may lead to a clinically relevant improvement in outcome.
Application of TMS320C67XX signal processors for sonic - self-optimizing narrowband interference canceler

The paper presents a laboratory system for testing active control algorithms of acoustics noise in ducts. An applied algorithm - self-optimizing narrowband interference canceller (SONIC), allows one to remove narrowband disturbances of constant or slowly time-varying frequencies. Example experimental results of using the laboratory system for supression of sinusoidal disturbance are described. An electronic part of the system was made using a digital signal processor (DSP) starter kit (DSK) of the TMS320C6713 signal processor. This approach is a base for future works on designing a laboratory system for testing active control algorithms of acoustic noise in heating, ventilating, air conditioning (HVAC) or exhaust ducts.
Experimental Investigation of Wire EDM Process Parameteres on Aluminium Metal Matrix Composite Al2024/SiC

Surface finish and Metal removal rate (MRR) is one of the most prime requirement of customer and it is also a significant tool to reduce the cycle time of any machine operation as well as the overall cost of the production. In the recent years, quality of product is a essential demand of customer which turned to the fast and rapid technologies of production. This paper presents an experimental study on composite of Al2024 reinforced with SiC to investigate the effects of electric discharge machining(EDM) for three levels of each parameters such as current ,pulse on time and reinforcement percentage on surface finish and MRR. Response surface methodology (RSM) technique has been applied to optimize the machining parameters for minimum surface roughness and maximum MRR.
Neural Network compensator based MMSE receiver for HPA nonlinearity in MIMO OFDM systems

In this paper, we present a method based on Neural Network (NN) technique and accompanied with MMSE (Minimum Mean Square Error), which corrects at the receiver level, the Non-Linear (NL) distortions due to the HPA (High Power Amplifier). The neural network consists on a feed-forward Multi-Layer Perceptron (MLP) associated with Levenberg-Marquardt learning algorithm. The results show that the neural network compensator brings perceptible in a complete VBLAST MIMO OFDM (Vertical Bell Laboratories Layered Space-Time Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing) system running under a Rayleigh fading channel.
Mechanical Properties of Electrospun CNF / PVA Nanofiber Mats as Reinforcement in Polymer Matrix Composites

Carbon nanofiber (CNF) reinforcement in the resin matrix composites is one of the effective methods which improve the overall performance of the composites. In this work, we have investigated the influence of electrospinning to obtain nanofiber composites of carbon nanofiber (CNF)/polyvinyl alcohol (PVA) by varying the percentages of CNF (i.e., 1, 1.5 and 3 wt %). CNF incorporation has been confirmed by X-Ray diffraction and SEM analysis of nanofibers revealed that the fiber diameter increased with respect to CNF percentage. Then, we fabricated flexural coupons utilizing CNF/PVA nanofiber mats as laminates and epoxy resin (ER) as matrix. A total of fifteen coupons, five for each CNF weight percentages, were finally obtained. The fabricated coupons had smooth surfaces. Ultrasonic testing (UT) provided information about the defects present in the coupons. Three point flexural tests performed through a 10 ton universal testing machine (UTM) following the ASTM standard showed significant improvement in the flexural strength of the CNF loaded polymer composites. The maximum flexural strength of 137.28 MPa was obtained with the 3 wt% CNF loaded coupons (i.e., C3P-4), compared to the pure epoxy coupons (65.31 MPa from NC-2). The flexural strength was compared with direct108 N. Danni, T. Sasikumar and A. Ahamed Fazil mixed CNF/ER composite coupons (dM-CPs) and found to increase as much as 46%. The uniform dispersion of CNF/PVA with tunable nanofibers, their higher surface area and load bearing characteristics could be attributed for this enhanced strength and these composites may open up numerous possibilities for industries like defense and automobile.
Semi-Infinite Crack in an Infinite Plate

Crack layer (CL) model is applied for modeling of brittle fracture of engineering thermoplastics. It specifically used in polyethylene structures, where a process zone (PZ) formed in front of crack is a narrow wage-type layer consisting of drawn fibers and membranes. To model CL requires an evaluation of stress intensity factors (SIF) and crack opening displacements (COD) within the crack and PZ domains. This paper is aimed to construct SIF and COD formulas for three specific geometries: a semi-infinite crack in an infinite solid; a single-edge notched specimen, standard Pennsylvania notch test (PENT, ASTM F 1473) and a new stiff constant-K (SCK) specimen. The approximate SIF and COD formulas are expressed as superposition of two elastic solutions one due to remote load and another associated with closing forces. The paper presents the computational technique in details. The approximate expressions of SIF and COD are used to present the method of computation the shape and the size of PZ, as well as the crack and PZ driving forces. The CL parameters then are used in simulation of CL growth and prediction of the lifetime of engineering structures made of thermoplastics.
EEG Based Communication System in Generalized & Customized Modes for Differently Abled Communities

Differently abled people such as patients with Amyotrophic Lateral Sclerosis, brain stem stroke and spinal cord injury, encounter difficulty in communication due to the loss of muscle control and speech. Intelligent Brain Machine interfaces are devices which can be used to aid these severely affected people through the power of thought. In this research work, a Thought Controlled Communication System has been developed using seven English words which is considered to convey the basic needs of a patient. The proposed communication system records the Electroencephalography signal while mentally reading the words. The recorded EEG signals are pre-processed and segmented into four frequency bands. The band frequency signals are used to Manuscript received March 01, 2013. The authors would like acknowledge the Fundamental Research Grant Scheme (FRGS No. 9001-00022) by Ministry of Higher Education, Malaysia. Paulraj M P is with the School of Mechatronic Engineering, Univerisiti Malaysia Perlis, Malaysia (phone: +604 988 5257; email: paul@unimap.edu.my). Abdul Hamid Adom is the dean of School of Mechatronic Engineering, Univerisiti Malaysia Perlis, Malaysia (phone: 049885166. Fax: 04-9885167. Email: abdhamid@unimap.edu.my). Sazali Bin Yaacob is with the School of Mechatronic Engineering, Univerisiti Malaysia Perlis, Malaysia (phone: Phone: +604-9885166; Email: s.yaacob@unimap.edu.my). Hema C R is the Dean, Engineering Research. Karpagam University. Coimbatore, India. (phone: 7667793331, Email : hemacr@yahoo.com). Erdy Sulino Mohd Muslim Tan is with the School of Mechatronic Engineering, Univerisiti Malaysia Perlis, Malaysia (Email: erdysulino@unimap.edu.my). Sathees Kumar Nataraj is a PhD Scholar with the School of Mechatronic Engineering, Univerisiti Malaysia Perlis, Malaysia (Email: sathesesjul4@gmail.com). extract features using band power and power spectral density algorithms. In this analysis, two simple classifiers namely Multi Layer Neural Network and k-Nearest Neighbor have been used for recognizing the extracted features in both generalized and customized modes. The proposed classification system has been validated through simulation.
Project Title: A COMPUTATIONAL WORK-BENCH FOR DRY BENEFICIATION OF COAL BY TRIBO-ELECTROSTATIC SEPARATION ICCI Project Number: 11/4A-2

Triboelectrostatic separation of coal is a dry beneficiation process that relies on electric forces to separate carbon from impurities by application of an external electric field on particles. The technique is highly efficient in terms of energy consumption because it targets individual particles, in contrast to other cleaning techniques, which operate on bulk fluids. Furthermore, it is very efficient in processing fine particles because as particles become smaller, the electric force, which acts at the surface, becomes more dominant than the buoyant force, which acts at the volume. The idea of dry coal cleaning by means of electro-separation has been around for quite some time. Indeed, bench-scale triboelectric separation units have been built and tested successfully; however, scale up and commercialization of these units have not met with the same level of success because the design of those devices, for the most part, has been based on a trial and error approach while understanding of basic principles of the process has been widely overlooked. Such an understanding is needed if the design of these devices is ever going to move beyond the trial and error stage. In this project, a computational methodology was developed to simulate the cleaning of Illinois coal in a triboelectrostatic separator and gain “detailed” understanding of the phenomenon. To this end, the governing equations of fluid flow, electric fields, and particles were solved using FLUENT software and in-house computer codes. The governing nondimensional parameters of the phenomenon were identified and extensive parametric studies were performed to explore the effect of these parameters on separation efficiency. Results were analyzed and justified by inspection of particle trajectories and the flow field. While computer simulations yielded a wealth of information concerning the subtle interplay of governing parameters in determining separation efficiency, separation efficiencies achieved with simulation were generally higher than those found by actual experimentation. This suggests the necessity of refining computational modeling of tribocharging in an effort to mimic reality more closely, which will be proposed in the future.
Preliminary Findings from the Early Head Start Prekindergarten Followup

WWhen tasked with designing Early Head Start, the Department of Health and Human Services’ (USDHHS) Advisory Committee on Services for Families with Infants and Toddlers envisioned the continuation of high quality services after families completed the infant and toddler program. Smooth transitions into high quality Head Start and other preschool programs were seen as “important for ensuring continued accessibility to enriching early child development experiences and for providing ongoing family support services that promote healthy family development” (USDHHS, 1994). This vision, as well as research on continuity of early childhood services, guided the analyses of the prekindergarten followup of the Early Head Start Research and Evaluation Project. The primary research questions were:
EphA5 and ephrin‐A2 expression during optic nerve regeneration: a ‘two‐edged sword’

During development, gradients of EphA receptors (nasallow–temporalhigh) and their ligands ephrin‐As (rostrallow–caudalhigh) are involved in establishing topography between retinal ganglion cells (RGCs) and the superior colliculus (SC). EphA5‐expressing RGC axons are repulsed by ephrin‐A2‐expressing SC neurones. In adult rats RGCs maintain graded EphA5 expression but ephrin‐A2 expression is down‐regulated in the SC to a weak gradient. At 1 month after optic nerve transection, EphA5 expression is reduced in the few remaining RGCs and is no longer graded; by contrast, SC ephrin‐A2 is up‐regulated to a rostrallow–caudalhigh gradient. Here we examined expression in adult rat 1 month after bridging the retina and SC with a peripheral nerve graft, a procedure that enhances RGC survival and permits RGC axon regeneration. Double labelling with cell markers revealed preservation of a nasallow–temporalhigh EphA5 gradient in RGCs and establishment of a rostrallow–caudalhigh ephrin‐A2 gradient within neurones of the SC. The results suggest a potential for guidance cues to restore the topography of RGC axons in the SC. However, high ephrin‐A2 levels were also found in astrocytes surrounding the peripheral nerve graft insertion site. The repulsive ephrin‐A2 environment offers at least a partial explanation for the observation that only a limited number of RGC axons can exit the graft to enter target central nervous system tissue.
Plasminogen activator inhibitor 1 and Antipain preserve acrosome integrity of bovine spermatozoa during cryopreservation

Seminal plasma contains serine proteases and serine protease inhibitor, which are involved in mammalian fertilization, and the inhibitors can be applied to prevent cold-induced sperm capacitation. The effects of different concentrations of two serine protease inhibitors were analyzed, Plasminogen activator inhibitor 1 PAI-1 (70 ƞg, 140 ƞg and 210 ƞg) and Antipain (10 μg, 50 μg and 100 μg) as supplementation to bovine semen cryopreservation extender. The effects of the inhibitors on the sperm parameters (sperm kinetics CASA, acrosome integrity, plasma membrane integrity, mitochondrial membrane potential, sperm defects and acrosome reaction rate) were evaluated in the post-thaw semen. Cryopreservation of sperm with Antipain decreased post-thaw kinetic parameters of MP, VSL, LIN, SRT and the percentage of hyperactivated sperm while PAI-1 (210 ƞg) decreased VSL and LIN. Antipain and PAI-1 had no effect on the integrity parameters of the plasma membrane, mitochondrial membrane potential and sperm defects. Sperm cryopreserved in the presence of Antipain and PAI-1 (70 and 140 ƞg) preserved acrosome integrity, as they were able to complete the in vitro acrosome reaction. In conclusion, the serine protease inhibitors, Antipain and PAI-1 (70 and 140ƞg) are able to preserve the acrosome integrity of cryopreserved bovine sperm.