Miracle-dz/UniFAR-FTUs huggingface dataset:
Right Left Hindlimb Alternation During Turtle Swimming Crossed Commissural Pathways in the Spinal Hindlimb Enlargement Are Not Necessary

[PDF] [Full Text] [Abstract] , December 1, 2005; 94 (6): 4455-4470. J Neurophysiol A. Berkowitz Diverse Limb Movements Physiology and Morphology Indicate That Individual Spinal Interneurons Contribute to [PDF] [Full Text] [Abstract] , April 25, 2007; 27 (17): 4634-4641. J. Neurosci. A. Berkowitz Spinal Interneurons That Are Selectively Activated during Fictive Flexion Reflex [PDF] [Full Text] [Abstract] , October 1, 2007; 98 (4): 2223-2231. J Neurophysiol R. F. Samara and S. N. Currie for Right Left Hindlimb Alternation During Turtle Swimming Crossed Commissural Pathways in the Spinal Hindlimb Enlargement Are Not Necessary [PDF] [Full Text] [Abstract] , April 1, 2008; 99 (4): 1953-1968. J Neurophysiol R. F. Samara and S. N. Currie Interlimb Coordination During Voluntary Swimming in Turtles Location of Spinal Cord Pathways That Control Hindlimb Movement Amplitude and [PDF] [Full Text] [Abstract] , June 1, 2008; 99 (6): 2887-2901. J Neurophysiol A. Berkowitz Locomotion and Scratching Physiology and Morphology of Shared and Specialized Spinal Interneurons for
Memory-efficient parallel computation of tensor and matrix products for big tensor decomposition

Low-rank tensor decomposition has many applications in signal processing and machine learning, and is becoming increasingly important for analyzing big data. A significant challenge is the computation of intermediate products which can be much larger than the final result of the computation, or even the original tensor. We propose a scheme that allows memory-efficient in-place updates of intermediate matrices. Motivated by recent advances in big tensor decomposition from multiple compressed replicas, we also consider the related problem of memory-efficient tensor compression. The resulting algorithms can be parallelized, and can exploit but do not require sparsity.
Egg Handling and Storage 1

1 The use of trade names in this publication does not imply endorsement of the products mentioned, nor criticism of similar products not mentioned. ABSTRACT The temperature and relative humidity of storage, as well as the gaseous environment, interact with the fertile egg over time during storage in such a way as to affect the success of incubation either negatively or positively. This interaction occurs both above and below the " physiological zero " , at which embryonic metabolism is minimal. This interaction below physiological zero implies that certain physical aspects of the egg must be affected by the environmental conditions. As the eggshell is a relatively fixed component , changes in albumen, shell membranes, cuticle, yolk, or embryo proper must account for these time-and environment-related effects. It is concluded that the major contributor is the albumen, as it is obviously the most dynamic component below physiological zero and is strategically positioned.
Palmprint Image Processing and Linear Discriminant Analysis Method

In this paper, the method of processing and linear discriminant analysis of palmprint image is proposed. The palmprint image processing focuses on the location and segmentation which involves rotation and transition. By means of finding the two locate points about the index finger and middle finger, ring finger and little finger, the palmprint image is rotated and corrected a new coordinate system is created, which determines the region of interest (ROI). Linear discriminant analysis is a method of Gabor plus improved two-dimensional linear discriminant (Gabor+I2DLDA) which is improved 2DLDA method by integrating the Gabor wavelet representation of palm images is proposed. Traditional two-dimensional linear discriminant (2DLDA) method eliminates the column relevance of the image, while improved 2DLDA is a direct 2DLDA method which is defined in the traditional 2DLDA basis. The Gabor wavelets are used to extract palmprint features. The proposed Gabor+I2DLDA yields greater palmprint recognition accuracy while reduces the dimension. The experiment results show that location accuracy and recognition accuracy. The effectiveness of the proposed method is also verified using the PolyU palmprint databases for palmprint recognition.
Association between Short Term and Long Term Communication in Pathological Autonomic Control

Autonomic Information Flow (AIF) reflects the time scale dependence of autonomic communications such as vagal, sympathetic, and slower rhythms and their complex interplay. We investigated the hypothesis that pathologically disturbed short term control is associated with simplified complex long term control. This particular characteristic of altered autonomic communication was evaluated in different medical patient groups. Holter recordings were assessed in patients with multiple organ dysfunction (MODS) (26 survivors, 10 non-survivors); with heart failure (14 low risk-without history of aborted cardiac arrest (CA), 13 high risk - with history of CA); with idiopathic dilated cardiomyopathy (IDC) (26 low risk, 11 high risk of CA), after myocardial infarction (MI) (1221 low risk - survivors, 55 high risk non-survivors); after abdominal aorta surgery (AAS, 32 length of stay in hospital LOS>7 days, 62 LOSles7 days). AIF of short and long time scales was investigated. We found a fundamental association of increased short term randomness and decreased long term randomness due to pathology. Concerning risk, high risk patients were characterized by increased short term complexity and decreased long term complexity in all patients groups with the exception of the IDC patients. We conclude that different time scales of AIF represent specific pathophysiological aspects of altered autonomic communication and control. The association of altered short term control with simplified long term behavior might be a pathophysiologically relevant compensation mechanism in the case of a disturbed fastest actuator. This knowledge might be useful for the development of comprehensive therapeutic strategies besides the predictive implications
An efficient SPICE-compatible circuit model for transmission line response excited by an electrically short dipole inside a metallic cavity

ABSTRACT For the transmission line response excited by an electrically short dipole inside a rectangular cavity, a SPICE-compatible broadband Foster type equivalent circuit is presented. The electric field inside a cavity is represented by the eigenmode decomposition of Helmholtz equation, while the current of transmission line is expanded using the eigenmode of transmission line equation. The field-to-line coupling effect is described by the Agrawal formula. The convergence of the circuit is accelerated by the extraction of quasi-static inductances and capacitances. The validity and efficiency of the presented method is verified both in frequency and time domain. Also, the effects of lossy filling material are discussed. Besides, in order to show the aggravation effect of metallic cavity on the electromagnetic interference, the induced currents on the transmission line with and without a metallic casing are given and compared.
Fractional polynomial and restricted cubic spline models as alternatives to categorising continuous data: applications in medicine

Continuous predictor variables are often categorised when reporting their influence on the outcome of interest. This does not make use of within category information. Alternative methods of handling continuous predictor variables such as fractional polynomials (FPs) and restricted cubic splines (RCS) exist. This thesis first investigates the current extent of categorisation in comparison to these alternative methods. The performances of categorisation, linearisation, FPs and RCS approaches are then investigated using novel simulations, assuming a range of plausible scenarios including tick-shaped associations. The simulation starts with continuous outcomes, and then move onto predictive models where the outcome itself is dichotomised into a binary outcome. Finally, a novel application of the four methods is performed using the UK Biobank data – incorporating additional issues of confounding and interaction. This thesis shows that the practice of categorisation is still widely used in epidemiology, whilst alternative methods such as FPs and RCS are not. In addition, this research shows that categorising continuous variable into few categories produce functions with large RMSEs, obscure true relations and have less predictive ability than the linear, FP and RCS models. Finally, this thesis shows that nonlinearity and interaction terms are more easily detected when applying FPs and RCS methods. The thesis concludes by encouraging medical researchers to consider the application of FPs and RCS models in their studies.
Determination of prevalence of genus Prevotella from the subgingival plaque samples of chronic periodontitis and in healthy individual through polymerase chain reaction

Background: Members of genus Prevotella are Gram-negative anaerobic bacilli mainly residing in the oral cavity. These are pigmented and non-pigmented organisms. Pigmented organisms can be easily identified and isolated through culture, whereas non-pigmented ones are difficult to identify through culture due to their fastidious nature. Studies have been carried out identifying different phylotypes of Prevotella, but studies are lacking where only prevalence of genus Prevotella is studied. Hence, the present study is aimed to determine the prevalence of genus Prevotella from the subgingival plaque samples of chronic periodontitis and in healthy individual through polymerase chain reaction (PCR). Materials and Methods: A total of 200 individuals (100 chronic periodontitis and 100 healthy individuals) were considered for the study. Detailed demographic data were obtained from both the groups once they met all the inclusion and exclusion criteria. For chronic periodontitis individuals, detailed clinical examination was done and periodontal index was noted. The subgingival plaque was collected from the individuals and transferred into reduced transport media and sent to a laboratory for DNA extraction. Followed by DNA extraction PCR analysis was carried out for genus Prevotella with conserved region of 16s rDNA as the target. Result: Overall 94.5% of cases were positive for genus Prevotella. In chronic periodontitis, positivity was marginally high with 96% when compared to healthy individuals which were 93%. When grades of periodontitis were compared, severe periodontitis showed more number of positive cases. However, the difference was statistically insignificant. Conclusion: This is the preliminary study which gives an insight for the prevalence of genus Prevotella in oral cavity. Higher prevalence was observed in chronic periodontitis individuals when compared to healthy, thus suggesting its role in causing periodontitis. However, further study has to be carried out to identify different species of Prevotella and their role in healthy individuals and chronic periodontitis.
Clinical effectiveness of non-invasive selective cryolipolysis

Abstract Background: Excess subcutaneous fat causes not only cosmetic issues, but also substantial systemic health problems. Cryolipolysis has been reported to provide non-invasive fat reduction that significantly reduces subcutaneous fat cells with controlled, localized cooling. Objective: This study is intended to determine whether a cryolipolysis device can effectively reduce subcutaneous fat without damaging the overlying skin or causing significant side effects and ultimately produce improved cosmetic results. Materials and methods: A total of 15 patients participated in this study and they were treated unilaterally in a split-body trial manner with a non-invasive cryolipolysis device (Micool™, Hironic Co., Seongnam, Korea). The degree of improvement was assessed by both objective and subjective assessments. Complications and side effects were recorded at every visit. Results: The results of both objective and subjective assessments showed significant improvements in subcutaneous fat reduction without any meaningful complications. Conclusion: Non-invasive selective cryolipolysis has been reported to be a safe and effective treatment modality for the reduction of excess adipose tissue. Therefore, cryolipolysis is a promising technology that could be an appropriate and safe therapeutic option for subcutaneous fat reduction.
Pomegranate peels as versatile adsorbents for water purification: Application of box–behnken design as a methodological optimization approach

Pomegranate peels (PGP) were tested as a green adsorbent for the removal of Ni(II) from contaminated water samples. Both raw (RPG), and char/burnt peels (BPG) were tested. A multivariate analysis approach, Box–Behnken (BB) design was executed to augment the efficiency of BPG as adsorbent. Three factors were considered thereof; contact time (CT), adsorbent dose (AD), and heavy metal concentration (HMC). The percentage of heavy metal removal was the designated response (Y). Main effects plot together with analysis of variance (ANOVA) were used to decide on the substantial factors. Obtained results showed that AD was the most significant linear factor, while the interaction between AD*HMC was the most influential two‐way interaction. Contour and response surface plots were used to study the factorial interactions and optimize the response. Desirability function was used to find the best factorial combination for maximum removal of Ni(II). Efficacies of both adsorbents were compared and BPG was more effectual achieving 99.99% removal of Ni(II). Surface morphology was characterized using FTIR, BET, SEM, and EDX analyses. Results indicated that functional groups such as hydroxyl, amino, carboxylic acid are available on surface of PGP and might be responsible for the adsorption process. © 2019 American Institute of Chemical Engineers Environ Prog, 38: e13223, 2019
Genetic turnovers and northern survival during the last glacial maximum in European brown bears

Abstract The current phylogeographic pattern of European brown bears (Ursus arctos) has commonly been explained by postglacial recolonization out of geographically distinct refugia in southern Europe, a pattern well in accordance with the expansion/contraction model. Studies of ancient DNA from brown bear remains have questioned this pattern, but have failed to explain the glacial distribution of mitochondrial brown bear clades and their subsequent expansion across the European continent. We here present 136 new mitochondrial sequences generated from 346 remains from Europe, ranging in age between the Late Pleistocene and historical times. The genetic data show a high Late Pleistocene diversity across the continent and challenge the strict confinement of bears to traditional southern refugia during the last glacial maximum (LGM). The mitochondrial data further suggest a genetic turnover just before this time, as well as a steep demographic decline starting in the mid‐Holocene. Levels of stable nitrogen isotopes from the remains confirm a previously proposed shift toward increasing herbivory around the LGM in Europe. Overall, these results suggest that in addition to climate, anthropogenic impact and inter‐specific competition may have had more important effects on the brown bear's ecology, demography, and genetic structure than previously thought.
Online Multi-frame Blind Deconvolution with Super-resolution and Saturation Correction

Astronomical images taken by ground-based telescopes suffer degradation due to atmospheric turbulence. This degradation can be tackled by costly hardware-based approaches such as adaptive optics, or by sophisticated software-based methods such as lucky imaging, speckle imaging, or multi-frame deconvolution. Software-based methods process a sequence of images to reconstruct a deblurred high-quality image. However, existing approaches are limited in one or several aspects: (i) they process all images in batch mode, which for thousands of images is prohibitive; (ii) they do not reconstruct a super-resolved image, even though an image sequence often contains enough information; (iii) they are unable to deal with saturated pixels; and (iv) they are usually non-blind, i.e., they assume the blur kernels to be known. In this paper we present a new method for multi-frame deconvolution called online blind deconvolution (OBD) that overcomes all these limitations simultaneously. Encouraging results on simulated and real astronomical images demonstrate that OBD yields deblurred images of comparable and often better quality than existing approaches.
Clinical Risk Groups (CRGs): A Classification System for Risk-Adjusted Capitation-Based Payment and Health Care Management

ObjectiveTo develop Clinical Risk Groups (CRGs), a claims-based classification system for risk adjustment that assigns each individual to a single mutually exclusive risk group based on historical clinical and demographic characteristics to predict future use of healthcare resources. Study Design/Data SourcesWe developed CRGs through a highly iterative process of extensive clinical hypothesis generation followed by evaluation and verification with computerized claims-based databases containing inpatient and ambulatory information from 3 sources: a 5% sample of Medicare enrollees for years 1991–1994, a privately insured population enrolled during the same time period, and a Medicaid population with 2 years of data. ResultsWe created a system of 269 hierarchically ranked, mutually exclusive base-risk groups (Base CRGs) based on the presence of chronic diseases and combinations of chronic diseases. We subdivided Base CRGs by levels of severity of illness to yield a total of 1075 groups. We evaluated the predictive performance of the full CRG model with R2 calculations and obtained values of 11.88 for a Medicare validation data set without adjusting predicted payments for persons who died in the prediction year, and 10.88 with a death adjustment. A concurrent analysis, using diagnostic information from the same year as expenditures, yielded an R2 of 42.75 for 1994. ConclusionCRGs performance is comparable to other risk adjustment systems. CRGs have the potential to provide risk adjustment for capitated payment systems and management systems that support care pathways and case management.
Assembly of an Interactive Correlation Network for the Arabidopsis Genome Using a Novel Heuristic Clustering Algorithm1[W]

A vital quest in biology is comprehensible visualization and interpretation of correlation relationships on a genome scale. Such relationships may be represented in the form of networks, which usually require disassembly into smaller manageable units, or clusters, to facilitate interpretation. Several graph-clustering algorithms that may be used to visualize biological networks are available. However, only some of these support weighted edges, and none provides good control of cluster sizes, which is crucial for comprehensible visualization of large networks. We constructed an interactive coexpression network for the Arabidopsis (Arabidopsis thaliana) genome using a novel Heuristic Cluster Chiseling Algorithm (HCCA) that supports weighted edges and that may control average cluster sizes. Comparative clustering analyses demonstrated that the HCCA performed as well as, or better than, the commonly used Markov, MCODE, and k-means clustering algorithms. We mapped MapMan ontology terms onto coexpressed node vicinities of the network, which revealed transcriptional organization of previously unrelated cellular processes. We further explored the predictive power of this network through mutant analyses and identified six new genes that are essential to plant growth. We show that the HCCA-partitioned network constitutes an ideal “cartographic” platform for visualization of correlation networks. This approach rapidly provides network partitions with relative uniform cluster sizes on a genome-scale level and may thus be used for correlation network layouts also for other species.
Multi-commodity online maximum lifetime utility routing for energy-harvesting wireless sensor networks

The energy limitation of wireless sensor networks can be solved by harvesting energy from environmental sources such as solar and wind to power the sensor nodes. We propose an energy-harvest-aware routing scheme that incorporates harvest availability properties and energy storage capacity limits into the routing decisions. In contrast to most existing energy-harvesting routing algorithms that route each traffic flow independently from each other, we consider multiple traffic flows, or commodities, and formulate the multi-commodity routing problem as linear optimization problem. The proposed scheme balances two routing objectives of maximum total and maximum minimum residual energy to prolong the network lifetime. The simulation results show that both higher total and higher minimum residual energies are achieved.
A Study on Energy Modeling, Cost Percentage of Various Parts in Wind Mills

This paper mainly focus on the several types of costs and Economical factors that are produced in wind energy carried out among wind energy manufacturers and developers regarding the current generation costs of wind energy projects. Generation costs have increased by more than 20% over the last 3 years mainly due to a rise of the price of certain strategic raw materials at a time when the global demand has boomed. Starting from the raw materials till erection and also after erection the operation maintenance cost everything is included in this paper. This paper will be useful for both the manufacturers and the Research scholars those who are willing to spend the cost for wind energy technologies, it creates an awareness among the world leading wind mill manufacturing company’s also.
Magnetic control over liquid surface properties with responsive surfactants.

are well known. Here we report for the first time ionicliquid surfactants that are magneto-responsive, thus offeringthe potential to perturb liquid emulsions simply by theapplication of an external magnetic field. Although ionicliquids(ILs)containingtransitionmetalcomplexeshavebeenknown for some time,
Reduction of CO2 to Methanol on Photocatalysts of ZnO/rGO in Isopropanol

The hydrothermal synthesis procedure was used to prepare the photocatalysts of ZnO nanoparticles (NPs) anchored on graphene (Gr). The activity enhancement of pristine ZnO NPs by anchored on graphene was evaluated for photocatalytically reducing CO2. The experimental results showed that the graphene could significantly improve the photocatalytic activity, where ZnO NPs anchored on 30wt% Gr showed the best photocatalytic performance for achieving the highest yield of methanol up to 2772.9 μmol/h·gcat. The enhanced photocatalytic could be attributed to the following reasons. The first one was that the light was harvested on the 2D graphene dispersed ZnO NPs uniformly. And the second one was the combination of ZnO NPs and graphene in ZnO NPs/Gr photocatalysts could transfer charge to separate photogenerated electron and hole efficiently, which was confirmed by the photoluminescence analysis.