Miracle-dz/UniFAR-FTUs huggingface dataset:
A Method for Adaptive Habit Prediction in Bulk Microphysical Models. Part II: Parcel Model Corroboration

AbstractIt is common for cloud microphysical models to use a single axis length to characterize ice crystals. These methods use either the diameter of an equivalent sphere or mass–size equations in conjunction with the capacitance model to close the equations for ice vapor diffusion. Single-axis methods unnaturally constrain growth because real crystals evolve along at least two axis directions. Thus, they are unable to reproduce the simultaneous variation in mass mixing ratio, maximum dimension, and mass-weighted fall speeds. While mass–size relations can at times capture the evolution of one of these with relatively low errors, the other properties are generally under- or overpredicted by 20%–40%. Part I of this study describes an adaptive habit method that evolves two axis dimensions, allowing feedbacks between aspect ratio changes and mass mixing-ratio evolution. The adaptive habit method evolves particle habit by prognosing number and mass mixing ratios along with two axis length mixing ratios. Compa.
The Development of an Evaluation Model for Universities and Industry Collaboration in Open Innovation

Many government policies have encouraged collaboration between the three worlds that were once very separate: the private and public research, business and/or industrial partners (as a structure for wealth creation) and education. All three, can cover virtuous circles to produce successful innovations. In this context, universities have extend their traditional roles or primary functions of education and research, to new one; entrepreneurship university or the knowledge based university are new approaches that give a new meaning and content to the traditional education role. They has change also, their business models on doing research and valorising the related results. The research aims to present an evaluation model for the university-industry collaboration in open innovation. The approach’s core consists of an ontology development based on reference review and creative common work of a research group of experts. The ontology dimensions and their characterization items were chosen based on university new role theory. Furthermore, the ontology structure and elements have contributed to the development of a questionnaire that could support a survey for the university-industry collaboration diagnosis (considering one university local, regional market) and it has been proofed as an effective support of the decision-making process when establishing a contract, project, or partnership with industrial or business organizations. The proposed evaluation model has been tested and validated through three practical case (universities) and the research results will be debated in this article.
Biomasse, métabolisme et nutrition du zooplancton dans le Golfe du Lion (Méditerranée nord-occidentale)

Zooplankton biomass was measured at 20 stations located along five coastal–offshore transects in the Gulf of Lions (NW Mediterranean) during spring 1998 and winter 1999, using two nets equipped with 200 and 80 μm mesh. Biomass was twice as abundant in spring. It increased toward the coast and the west of the gulf and was positively correlated to chlorophyll, primary production and organic particulate matter and negatively to temperature and salinity. The enrichment effect of Rhone river input and the oligotrophic influence of the north Mediterranean current (NMC) were the main distribution factors of zooplankton biomass. Higher biomass was obtained in coastal stations with the 80 μm net, which sampled more efficiently young larval stages and nauplii. Zooplankton metabolic activity (respiration, ammonium and phosphorus excretion) was studied at the inner and outer stations of each transect. Oxygen/nitrogen (O/N) ratio was lower in spring than in winter, indicating that more protein material was used for food, to complete the energy needed for the spring enhancement of secondary production. Nitrogen and phosphorus excreted by zooplankton accounted for 31% and 10% of the primary production requirements in spring and for 32% and >100%, in winter. Grazing impact and secondary production were calculated from respiratory requirements using a K2 value of 0.4 and an assimilation rate of 0.8. Grazing impact ranged between 9% and 69% of the primary production in spring and between 6% and 83% in winter, depending on the stations. The average secondary production was 54 mg C m –2 d in spring and 19 mg C m d in winter, which represents 11% and 12% of the primary production, respectively. © 2003 Éditions scientifiques et médicales Elsevier SAS and Ifremer/CNRS/IRD. All rights reserved.
A fluid dynamics approach to motion control for rigid autonomous ground vehicles

This paper concerns the low-speed maneuvering of autonomous ground vehicles. A novel guidance method is introduced based on the fluid flow analogy; in this approach, both path topology and motion reference are derived at a single step. Motion control then results from obtaining a best fit to the fluid motion distribution taking account of three constraints: boundary avoidance, rigidity of the vehicle and non-holonomic velocity constraints due to the steering system. Combined with weighted-least-squares fitting, an analytical solution is obtained for the steering angle. The methodology has the advantage of being applicable to both low-speed precision maneuvering and for dynamic control at highway speeds. ly consider a novel and more direct technique inspired by the physics of fluid motions and consistent with previous work on high speed motion control (Gordon 2002, Gordon 2006), the aim being to define and evaluate a path planning and control methodology that can be efficient, modular, open to operator scrutiny and also seamless across different speed ranges. In this paper we introduce and test the underlying concept, restricting attention to low-speed manoeuvring.
Molecular-dynamics simulation of polyimide matrix pre-crystallization near the surface of a single-walled carbon nanotube

Polyimide-based composite materials with a single-walled carbon nanotube as filler were studied by means of extensive fully-atomistic molecular-dynamics simulations. Polyimides (PI) were considered based on 1,3-bis-(3′,4-dicarboxyphenoxy)-benzene (dianhydride R) and various types of diamines: 4,4′-bis-(4′′-aminophenoxy)-diphenylsulfone (diamine BAPS) and 4,4′-bis-(4′′-aminophenoxy)-diphenyl (diamine BAPB). The influence of the chemical structure of the polyimides on the microstructure of the composite matrix near the filler surface and away from it was investigated. The formation of subsurface layers close to the nanotube surface was found for all composites considered. In the case of R–BAPB-based composites, the formation of an organized structure was shown that could be the initial stage of the matrix crystallization process observed experimentally. Similar structural features were not observed in the R–BAPS composites. Carbon nanotubes induce the elongation of R–BAPB chains in composites whereas R–BAPS chains become more compact similar to what is observed for EXTEM™ polyimide. It was shown that electrostatic interactions do not influence the microstructure of composites but slow down significantly the dynamics of PI chains in composites.
Redescription of Nothobranchius lucius and description of a new species from Mafia Island, eastern Tanzania (Cyprinodontiformes, Aplocheilidae)

Examination of specimens listed in the original description of Nothobranchius lucius revealed that they belong to two species. Nothobranchius lucius is redescribed based on the type series and other specimens collected in the type locality area, the Kibasira Swamp area, Rufiji River basin, Tanzania, at elevations between 250 and 300 m. Nothobranchius insularis sp. n. is described on the basis of specimens collected in the north part of Mafia Island, Tanzania, at about 10–15 m elevation. Nothobranchius lucius and N. insularis are considered closely related species based on the shared presence of long jaws; caudal fin, in males, with a broad dark grey to black band on its posterior margin; black dots over the whole flank, in females; metapterygoid curved, with its middle and dorsal portions separated from the sympletic by a broad interspace; and posterior process of the quadrate shorter than the ventral length of the quadrate without process. Characters useful to distinguish them include premaxillary dentition, caudal fin shape, colour pattern of flank and unpaired fins in females, fin length, and number of neuromasts of the posterior section of the anterior supraorbital series. Both species are members of a group that also includes N. elongatus, N. hengstleri, N. interruptus, N. jubbi, N. krammeri, and N. melanospilus, which are all diagnosed by the presence of two neuromasts in the anterior section of the anterior supraorbital series.
Probabilistic Model for Wind Speed Variability Encountered by a Vessel

As a result of social awareness of air emission due to the use of fossil fuels, the utilization of the natural wind power resources becomes an important option to avoid the dependence on fossil resources in industrial activities. For example, the maritime industry, which is responsible for more than 90% of the world trade transport, has already started to look for solutions to use wind power as auxiliary propulsion for ships. The practical installation of the wind facilities often requires large amount of investment, while uncertainties for the corresponding energy gains are large. Therefore a reliable model to describe the variability of wind speeds is needed to estimate the expected available wind power, coefficient of the variation of the power and other statistics of interest, e.g. expected length of the wind conditions favorable for the wind-energy harvesting. In this paper, wind speeds are modeled by means of a spatio-temporal transformed Gaussian field. Its dependence structure is localized by introduction of time and space dependent parameters in the field. The model has the advantage of having a relatively small number of parameters. These parameters have natural physical interpretation and are statistically fitted to represent variability of observed wind speeds in ERA Interim reanalysis data set.
The Influence of Octenidine Dihydrochloride on Bacterial Biofilm on the Surface of a Polypropylene Mesh

Deep surgical site infections (DSSI’s) involving the implanted biomaterial remain an important issue in hernia surgery. The etiological factors include Staphylococcus aureus and Escherichia coli. The ability of these microorganisms to create a biofilm on the surface of the implant is considered to be one of the main reasons why successful treatment of DSSI’s is not an easy task. It is widely agreed that an important element of a successful treatment plan for infections involving biofilm formation is the use of agents capable of penetrating the biofilm matrix, and displaying a satisfactory efficacy against the microorganisms present within. Antiseptic agents meet the above criteria. The goal of this study was to evaluate the influence of a solution of octenidine dihydrochloride (Octenisept) on the biofilm present on a surface of a monofilament polypropylene mesh implant. The study involved 140 bacterial strains from the collection of the Department of Microbiology Nicolaus Copernicus University Collegium Medicum in Bydgoszcz, Poland. The strains included 70 (50%) S. aureus isolates and 70 (50%) E. coli isolates. The influence of an antiseptic agent on the created biofilm was evaluated with the use of a qualitative and quantitative method, as well as by scanning electron microscopy (SEM). In the qualitative assessment, the observed effect of octenidine was a diminished intensity of biomaterial staining after incubation with TTC in comparison to samples from the control group. In the quantitative study, the live cell counts of S. aureus and E. coli isolated from the biofilm present on the implant surface, after exposure to the antiseptic agent were found to be diminished. SEM studies have shown that exposure to octenidine hydrochloride decreases the number of bacteria adhering to the biomaterial surface. The Octenisept octenidine dihydrochloride solution displays bactericidal activity against S. aureus and E. coli bacteria present in the biofilm created on the surface of monofilament polypropylene mesh.
Effects of Mobilization with Movement (MWM) in Shoulder Impingement Syndrome Patients on Acromiohumeral Distance using Ultrasonography

Aim: To study the effect of MWM on acromiohumeral distance, pain and disability in patients with Shoulder Impingement Syndrome. Method: Fifteen subjects with shoulder impingement syndrome were selected. Participants were treated with MWM posterolateral glide for shoulder for 6 sessions. The main outcome measures includedultrasonographic measurement of the acromiohumeral distance, VAS, SPADI and DASH scale. Results: There were extremely significant changes seen in the acromiohumeral distance in patients with impingement pre and post MWM treatment with p value of <0.0001. Pain and disability also showed extremely significant changes with a p value of <0.0001. Conclusion: The study concludes that MWM is effective in increasing the acromiohumeral distance and in reducing pain and disability in patients with shoulder impingement syndrome. Dabholkar Ajit, Professor and Head of Sports PT,D.Y. PatilSchool of Physiotherapy,Nerul, Navi Mumbai, India. Email:ajitdabholkar78@yahoo.co.in Shetty Shika,M.P.T Student, D.Y. Patil School of Physiotherapy, Nerul, Navi Mumbai, India. Email:shika_shetty@hotmail.com
Validation of Computational Fluid Dynamics, Turbulent Flow Approach, for Wind Flow around Building

The wind loading is outcome of the pressure distribution on the structure in general.Pressure distributions due to wind are motivated by a wide range of aspects including urban surroundings, approach-flow conditions, and structure geometry. Computational Fluid Dynamics, CFD,isanimportant tool for calculating wind pressure coefficients, Cp, on structure cladding. This paper is established on a great number of CFD simulations to assess wind pressure coefficient. CFD simulations were carried out with Wind Load Simulator tool that found in Autodesk Robot Structural Analysis software. The study validation process is based on a comparison between CFD simulation results and experimental wind tunnel resultsthat founded in the literature.
Rain effects on 5G millimeter wave ad-hoc mesh networks investigated with different rain models

Substantial growth of mobile data and rapidly increasing spread of smartphones nowadays present major challenge for mobile service providers. The allotted spectrum for the currently operating mobile communicating systems have been saturated in the last years by such considerable rate that the future’s fifth generation network would not be able to fulfil its requirements without applying new frequencies. In accordance with the concept of 5G, millimeter wave spectrum will also be used along with the current frequency bands. This spectrum however, introduces meteorological effects as a new and significant attenuation factor. In this paper millimeter wave propagation affected by precipitation will be investigated and a simulation environment (written in Matlab) used for the 5G mm-wave mesh networks statistical investigation will be presented.
Distribution and production of plankton communities in the subtropical convergence zone of the Sargasso Sea. I. Phytoplankton and bacterioplankton

Elevated levels of biomass and productivity are often associated with ocean frontal sys- tems. The Subtropical Convergence Zone (STCZ) in the southern Sargasso Sea shows pronounced and stable thermal fronts, but little is known about the ecological consequences of these hydrographic fea- tures. With the aim of improving the understanding of physical and lower trophic level processes in the area, we carried out field studies of physical, chemical and biological characteristics along 3 transects crossing thermal fronts associated with the STCZ in March to April 2007. Thermal and chemical strat- ification were evident at all stations within the STCZ, and a depletion of nitrate was measured in the upper ~150 m. The phytoplankton biomass was dominated by Prochlorococcus spp. with highest abundance, up to >400 000 cells ml -1 , at the chlorophyll a (chl a) maximum at 100 to 150 m depth. Syn- echococcus spp. were generally located higher in the water column. Picoalgae were less abundant, up to 8000 cells ml -1 , but explained most of the variation in chl a. Even though diatoms and dinoflagellates were few, the biomass of larger phytoplankton equalled or exceeded that of picoplankton at a few sta- tions. Bacterial biomass was roughly equal to half of the phytoplankton biomass. We did not find ele- vated levels of primary production or biomass of specific phytoplankton groups associated with the STCZ, probably due to a pronounced variability between stations along transects. Nevertheless, dis- tinct increases in chl a were associated with the zone and thermal fronts bordering the STCZ.
VLT/UVES spectroscopy of the O supergiant companion to 4U 1907+09(7)

High-resolution optical spectra of the high-mass X-ray binary 4U 1907+09 covering the wavelength range 4680−10 400 A indicate that the X-ray pulsar's massive companion is an O8/O9 supergiant with a dense stellar wind. The interstellar atomic lines of Na  and K  of this strongly reddened source (E(B−V) = 3.45 mag) are used to set a lower limit to its distance: d ≈ 5 kpc, excluding the possibility that the massive companion is a Be star. We re-evaluate the system parameters; the new spectral classification of 4U 1907+09's O supergiant companion is discussed in the context of its similarity in X-ray and orbital properties to Wray 15-977/GX 301-2. The Hα line shows variability similar to what is observed in other wind-fed systems. A remarkable feature is the strong He  4686 A emission line, which possibly originates in the accretion flow towards the X-ray pulsar.
Large Kernel Refine Fusion Net for Neuron Membrane Segmentation

2D neuron membrane segmentation for Electron Microscopy (EM) images is a key step in the 3D neuron reconstruction task. Compared with the semantic segmentation tasks for general images, the boundary segmentation in EM images is more challenging. In EM segmentation tasks, we need not only to segment the ambiguous membrane boundaries from bubble-like noise in the images, but also to remove shadow-like intracellular structure. In order to address these problems, we propose a Large Kernel Refine Fusion Net, an encoder-decoder architecture with fusion of features at multiple resolution levels. We incorporate large convolutional blocks to ensure the valid receptive fields for the feature maps are large enough, which can reduce information loss. Our model can also process the background together with the membrane boundary by using residual cascade pooling blocks. In addition, the postprocessing method in our work is simple but effective for a final refinement of the output probability map. Our method was evaluated and achieved competitive performances on two EM membrane segmentation tasks: ISBI2012 EM segmentation challenge and mouse piriform cortex segmentation task.
Detection , PCR-amplification and characterization of a 4 intron-containing non-symbiotic hemoglobin gene from the moss Physcomitrella patens

It has been well established that land plant non-symbiotic hemoglobin (nshb), symbiotic hemoglobin (shb) and leghemoglobin (lb) genes are interrupted by 3 introns (IVS-I, IVS-II and IVS-III). Here, we report the detection, PCR-amplification and DNA sequencing of a 4 intron-containing nshb (nshb2) gene from the Physcomitrella patens DNA. Sequence analysis revealed that nshb2 is interrupted by introns IVSI, IVS-II and IVS-III, and by an extra intron (pre-IVS-I) interrupting coding sequences upstream to IVS-I. Phylogenetic analysis showed that P. patens nsHb2 clusters with bryophyte nsHbs, however nsHb2 is divergent from P. patens nsHb1. Modeling of the tertiary structure of P. patens nsHb2 showed that this protein could fold into the myoglobin-fold. The existence of intron pre-IVS-I in P. patens nshb2 but not in other known land plant nshbs, shbs and lbs suggests that this intron inserted after gene duplication that originated nshb2. If this is correct intron insertion possibly occurred in land plant nshbs other than P. patens nshb2. This will be verified as novel nshbs become available from newly sequenced land plant genomes.
A Stochastic Grammar for Simultaneous Human Re-Identification and Tracking

Identifying humans across camera views is a long standing challenge especially while dealing with complex scenarios with frequent occlusions, significant lighting changes and other difficulties. Under such conditions, most existing appearance and geometric cues are not reliable enough to identify humans across camera views. To address these challenges, in this paper we propose to jointly re-identify and track humans of interest and introduce a stochastic attribute grammar model. The key idea of our method is to leverage complementary and discriminative human attributes for enhacing the above joint parsing task. In particular, we use a set of grammar rules to decompose a graph node (e.g. tracklet) into a set of children nodes (e.g. 3D human boxes), and augment each node with a set of attributes, including geometry (e.g., moving speed, direction), accessories (e.g., bags), and/or activities (e.g., walking, running). These attributes serve as valuable cues, in addition to appearance features (e.g., colors), in determining the associations of human detection boxes across cameras. The attributes of a parent node are inherited by its children nodes, resulting in consistency constraints over the feasible parse graph. Thus, we cast cross-view human re-identification and tracking as finding the most discriminative parse graph for each subject in videos. We develop a learning method to train this attribute grammar model from weakly supervised training data. We develop an alternative inference method to employ both topdown and bottom-up computations to search the optimal solution. We also explicitly reason the occlusion status of each entity in order to deal with significant changes of camera viewpoints. We evaluate the proposed method over public video benchmarks and demonstrate with extensive experiments that our method clearly outperforms state-of-theart tracking methods.