Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of four EMC/ERH equations

ABSTRACT Four EMC/ERH equations (Modified-Henderson, Chung-Pfost, Modified-Halsey and Modified-Oswin) are evaluated for their abiUty to fit data for grains and seeds. Thirty-six data sets comprising 18 crops are included. Comparisons are based on mean relative percentage deviation, standard error of the estimated value and residual plots. The Modified-Henderson and Chung-Pfost equations are good models for starchy grains and fibrous materials. The Modified-Halsey equation is a good model for high oil and protein products. The Modified-Oswin equation is a good model for popcorn, corncobs, whole pods of peanut and some varieties of corn.
Review on Automatic Face Naming by Learning Discriminative Affinity Matrices from Weakly Labeled Images

Given a set of pictures, wherever every image contains many faces and is related to a number of names within the corresponding caption, the goal of face naming is to give the right name for every face. During this paper, we tend to propose 2 new ways to effectively solve this downside by learning 2 discriminative affinity matrices from these labeled pictures. we tend to first propose a replacement methodology referred to as regular low-rank illustration by effectively utilizing supervised data to be told a low-rank reconstruction constant matrix whereas exploring multiple topological space structures of the information. Specifically, by introducing a specially designed regularizer to the low-rank illustration methodology, we tend to penalise the corresponding reconstruction coefficients associated with the things wherever a face is reconstructed by exploitation face pictures from alternative subjects or by exploitation itself. With the inferred reconstruction constant matrix, a discriminative affinity matrix is often obtained. Moreover, we tend to conjointly develop a replacement distance metric learning methodology referred to as equivocally supervised structural metric learning by exploitation feeble supervised data to hunt a discriminative distance metric. Hence, another discriminative affinity matrix are often obtained exploitation the similarity matrix (i.e., the kernel matrix) supported the Mahalanobis distances of the information. Perceptive that these 2 affinity matrices contain complementary data, we tend to mix those to get a consolidated affinity matrix supported that we tend to develop a replacement reiterative theme to infer the name of every face. Comprehensive experiments demonstrate the effectiveness of our approach. General Terms Affinity matrix, caption-based face naming,
Power of one nonclean qubit

The one-clean qubit model (or the DQC1 model) is a restricted model of quantum computing where only a single qubit of the initial state is pure and others are maximally mixed. Although the model is not universal, it can efficiently solve several problems whose classical efficient solutions are not known. Furthermore, it was recently shown that if the one-clean qubit model is classically efficiently simulated, the polynomial hierarchy collapses to the second level. A disadvantage of the one-clean qubit model is, however, that the clean qubit is too clean: for example, in realistic NMR experiments, polarizations are not enough high to have the perfectly pure qubit. In this paper, we consider a more realistic one-clean qubit model, where the clean qubit is not clean, but depolarized. We first show that, for any polarization, a multiplicative-error calculation of the output probability distribution of the model is possible in a classical polynomial time if we take an appropriately large multiplicative error. The result is in a strong contrast to that of the ideal one-clean qubit model where the classical efficient multiplicative-error calculation (or even the sampling) with the same amount of error causes the collapse of the polynomial hierarchy. We next show that, for any polarization lower-bounded by an inverse polynomial, a classical efficient sampling (in terms of a sufficiently small multiplicative error or an exponentially-small additive error) of the output probability distribution of the model is impossible unless BQP is contained in the second level of the polynomial hierarchy, which suggests the hardness of the classical efficient simulation of the one non-clean qubit model.
Harmonic Rule for Measuring the Facial Similarities among Relatives

The harmonic rule is a strategy used to measure the harmonic distance between any pair of images. The images have been trained and tested on individual pair of facial images respectively. The facial images have been trained in ten folds with equal number of facial images, where each fold consists of some equal number of images of both KinfaceW-I and KinfaceW-II, which is a benchmark dataset. The facial similarities among relatives are measured by employing a harmonic distance metric using K-nearest neighbors over a dataset KinfaceW. The proposed Harmonic Rule for Measuring the Facial Similarities among Relatives is a method used to determine the percentage of facial similarity between father-son, father-daughter, mother-son and mother-daughter. Also the proposed Extended Harmonic Rule for Measuring the Facial Similarities among relatives is another strategy used to determine the percentage of face similarities between son-father-grand father, son-father-grandmother, daughter- father-grandfather, and daughter-father-grandmother. The result of the proposed approach is better than other approaches like NRML and MNRML, which are contemporary works published.
First Results of an Open Phase II Study with the Antidepressant Paroxetine

Paroxetine, a 4-p-fluorophenylpiperidine derivative, has been found to be a potent inhibitor of serotonin re-uptake in pre-synaptic nerve tenninals in the eentral nervous system (Magnussen et aL, 1982, Buus Lassen, 1978). It does not show any effeets on dopaminergie systems, praetically no MAG-inhibition and only weak anticholinergic and antiserotoninergie properties (Lund et aL, 1979). The cardiovaseular eompatibility of paroxetine seems to be better when compared with trieyclic substances Iike amitriptyline (Lund et aL, 1982; Me Clellandand Raptopoulos, 1985). First results with paroxetine in patients suffering from endogenous depression were eneouraging (Borup et aL, 1982). The study presented was planned to reproduce the above-mentioned results coneeming the antidepressant effeet and the tolerability of paroxetine.
Spatially extended underscreened Kondo state from collective molecular spin

The magnetic state and the Kondo effect in Mn phthalocyanine (MnPc) molecules on Pb(111) were investigated using low-temperature scanning tunneling microscopy (STM), density-functional theory, and numerical renormalization group calculations. We found that a unique spin state induced by the strong $\ensuremath{\pi}\ensuremath{-}d$ interaction between the Mn $d$-orbitals and ligand \ensuremath{\pi}-orbitals causes an underscreened Kondo effect observed both at Mn and the ligand. STM observations show that a Kondo resonance extends over the pyrrole ring in the Pc ligand rather than remaining localized at Mn. In gas-phase MnPc, we reveal that the $\ensuremath{\pi}\ensuremath{-}d$ interaction result in an $S=3/2$ collective spin state extended over the Pc ligand with a complex spin polarization inside the molecule. On Pb(111), charge transfer from the substrate reduces the total spin of MnPc from 3/2 to 1 while the intramolecular $\ensuremath{\pi}\ensuremath{-}d$ interaction is maintained. Partial screening of this collective $S=1$ spin state by the conduction electron in Pb(111) makes the Kondo resonance also observed at the ligand part, which is not directly hybridized with the substrate.
Parameter estimation for a pancreatic /spl beta/-cell model by gradient-descent learning with line search

Generation processes of action potentials in a single neuron are described by Hodgkin-Huxley (HH)-type equations [1,2]. HH-type equations can describe electrical activities of various cells as well as neurons. It requires difficult physiological experiments to construct a model as HH-type equations. Doya et al. [3,4] proposed a method to estimate several parameters of HH-type equations using gradient-descent learning method in which many parameters can be estimated by the measurement of membrane potential only without further physiological experiments. In the present paper, we show the method of Doya et al. can be applied to the parameter estimation of pancreatic /spl beta/-cell model which has a complicated bursting waveform.
Saharan dust and the African easterly jet–African easterly wave system: Structure, location and energetics

The radiative effects of Saharan mineral dust (SMD) aerosols on the structure, location and energetics of the African easterly jet–African easterly wave (AEJ‐AEW) system are examined for July–September 2006. Experiments are conducted with and without SMD using the Weather Research and Forecasting (WRF) model, which is radiatively coupled to an interactive dust model. The SMD‐modified heating field shifts the AEJ northward, upward and westward, and enhances its zonal asymmetry. These SMD‐induced changes to the AEJ are manifest in the AEWs: the northern and southern tracks of the AEWs shift northward (like the AEJ); and the zonal‐scale of the AEWs expands and their westward propagation increases.
Abdominoplasty Following Massive Weight Loss

Bariatric surgery has become an effective treatment for severe obesity. Various techniques have evolved over the years, with the most common now being the Roux-en-Y gastric bypass. Patients who experience massive weight loss are left with disﬁguring skin laxity that warrants surgical excision of the redundant tissue. Our experience comes from 400 abdominoplasties performed on patients with massive weight loss over the past 20 years. Special consideration must be given to this subset of patients when designing their abdominoplasties because of compromised vascularity from previous surgeries and persistent volumes of subcutaneous adipose tissue. In particular, the groin ﬂap or cross-abdominal ﬂap or both are presented as options for the postbypass patient in whom subcostal and midline scarring is present. The reverse abdominoplasty remains an option in special circumstances. In addition, we focus on complications these patients are more likely to develop, mainly related to associated incisional hernias and a disrupted vascular anatomy.
Flow Equations for Composite Gases

J M Burgers New York: Academic Press 1969 pp xiv + 332 price £8 13s Differential equations describing the behaviour of very general mixtures are derived by Prof Burgers from the starting point of the Maxwell–Boltzmann equation which governs the individual particle velocity distribution functions. The moment method is employed throughout, so that it is necessary at some stage to truncate the scheme by representing higher moments as suitably chosen functions of lower moments, and there is not much discussion of the limitations of this approach.
Association of Anti-apoptotic Mechanism Due to House Dust Mite in Neutrophils with Protein Synthesis and Bad

House dust mite is an essential allergen in the pathogenesis of allergic diseases. Abnormal regulation of neutrophil apoptosis is an important pathogenic process in allergic diseases. In the present study, we investigated the effects of house dust mites on spontaneous apoptosis of neutrophils and its associated mechanisms. Extract of Dermatophagoides pteronissinus (DP) inhibited neutrophil apoptosis in a time-dependent manner. Cycloheximide (CHX), an inhibitor of translation, increased apoptosis of DP-treated neutrophils as well as control cells. The pro-apoptotic effect of CHX was blocked by DP in neutrophils. In addition, DP increased the phosphorylation of Bad in a time-dependent manner, indicating that it exerted an inhibitory effect on the function of Bad. These results suggest that DP has anti-apoptotic effects of neutrophils and may regulate protein synthesis and activation of Bad. Moreover, these findings may shed light on elucidation of allergy pathogenesis due to house dust mites.
Seven Linear B Syllabograms of Conventionally Unknown Phonetic Value

This paper presents seven syllabograms (signs used for Consonant-Vowel [CV] syllables) of the Linear B syllabary that are conventionally considered of unknown phonetic value. This presentation is conducted following the theory of the Cretan Protolinear syllabary as the one that all the Aegean syllabaries evolved from, namely Linear A, Cretan Hieroglyphics, Linear B, cognate to Cypro-Minoan and the Linear Cypriot Greek. It is demonstrated that the phonetic value of each syllabogram corresponds to the Eteocretan name (in a conservative dialect of Sumerian) of the concrete object depicted by each syllabogram. Thus, more light is shed on the linguistic ancestry of the Minoan scripts and the practice followed for their creation.
Stochastic subspace system identification using multivariate time-frequency distributions

Structural health monitoring assesses structural integrity by processing the measured responses of structures. One particular group in the structural health monitoring research is to conduct the operational modal analysis and then to extract the dynamic characteristics of structures from vibrational responses. These characteristics include natural frequencies, damping ratios, and mode shapes. Deviations in these characteristics represent the changes in structural properties and also imply possible damage to structures. In this study, a new stochastic system identification is developed using multivariate time-frequency distributions. These time-frequency distributions are derived from the short-time Fourier transform and subsequently yield a time-frequency matrix by stacking them with respect to time. As the derivation in the data-driven stochastic subspace system identification, the future time-frequency matrix is projected onto the past time-frequency matrix. By exploiting the singular value decomposition, the system and measurement matrices of a stochastic state-space representation are derived. Consequently, the dynamic characteristics of a structure are obtained. As compared to the time-domain stochastic subspace system identification, the proposed method utilizes the past and future matrices with a lower dimension in projection. A spectral magnitude envelope can be applied to the time-frequency matrix to highlight the major frequency components as well as to eliminate the components with less influence. To validate the proposed method, a numerical example is developed. This method is also applied to experimental data in order to evaluate its effectiveness. As a result, performance of the proposed method is superior to the time-domain stochastic subspace system identification.
Preparation of layered manganese dioxide nanoparticles by microwave discharge in liquid: a simple, rapid and direct synthetic method

Manganese dioxide is one of the key materials in battery, adsorption media, and catalytic materials in the environmental field because of its excellent properties. In this investigation, new synthetical technology—the microwave discharge plasma in liquid method was used directly to make manganese dioxide with potassium permanganate (KMnO4) solution. The synthesis was realized in one step by the microwave discharging plasma in potassium permanganate aqueous solution without using any dispersants or stabilizers. The reduction time was very short, it only takes 3 min to complete the reduction of the 0.2 mmol l−1 potassium permanganate solution for the formation of MnO2. The structure characteristics and adsorption-desorption curves were studied by X-ray diffractometer (XRD), transmission electron microscopy and x-ray photoelectron spectroscopy, XRD, etc. it was found that the synthesized manganese dioxide nano-sheet had a layered structure and a large specific surface area (248.89 m2 g−1). The methylene blue was used to validate the effectiveness of the prepared manganese dioxide. The results showed that the synthesized manganese dioxide had good adsorption and photocatalytic properties. In conclusion, the microwave liquid-phase discharge plasma is a very effective reduction method with potential development.
On the development of a dual-layered diamond-coated tool for the effective machining of titanium Ti-6Al-4V alloy

This work is focused on the development of a dual-layered diamond-coated tungsten carbide tool for machining titanium Ti-6Al-4V alloy. A hot-filament chemical vapor deposition technique was used to synthesize diamond films on tungsten carbide tools. A boron-doped diamond interlayer was added to a microcrystalline diamond layer in an attempt to improve the interface adhesion strength. The dual-layered diamond-coated tool was employed in machining at cutting speeds in the range of 70 to 150 m min−1 with a lower feed and a lower depth of cut of 0.5 mm rev−1 and 0.5 mm, respectively, to operate in the transition from adhesion- to diffusion-tool-wear and thereby arrive at suitable conditions for enhancing tool life. The proposed tool was then compared, on the basis of performance under real-time cutting conditions, with commercially available microcrystalline diamond, nanocrystalline diamond, titanium nitride and uncoated tungsten carbide tools. The life and surface finish of the proposed dual-layered tool and uncoated tungsten carbide were also investigated in interrupted cutting such as milling. The results of this study show a significant improvement in tool life and finish of Ti-6Al-4V parts machined with the dual-layered diamond-coated tool when compared with its uncoated counterpart. These results pave the way for the use of a low-cost tool, with respect to, polycrystalline diamond for enhancing both tool life and machining productivity in critical sectors fabricating parts out of titanium Ti-6Al-4V alloy. The application of this coating technology can also be extended to the machining of non-ferrous alloys owing to its better adhesion strength.
AVALANCHE BOULDER TONGUES IN THE ALPS

Lichens of the subspecies Rhizocarpon geographicum s.l were measured on 25 avalanche boulder tongues in the Massif des Ecrins to elucidate the Little Ice Age history of avalanche activity. Results show: (1) an increase of lichen size from the median to the distal zone of deposits, and a decrease from the edges to the centre; (2) three types of lichen settlement. From the uppermost to the median zone, lichens are absent, because avalanche activity is very active. Down-slope, lichens occur in two different zones: the median zone is colonized by 5–20 mm size lichens on sides of blocks protected from the abrasional action of avalanches, while in the distal zone lichen diameters are largest (>30 mm) and occur on all sides of the blocks. The spatial distribution of the lichens and their size according to elevation make it possible to distinguish different phases during which avalanche activity has increased. At high elevation, the avalanche activity was at a maximum before AD 1650 and between AD 1730 and 1830. During these two periods avalanches had sufficient magnitude to reach the basal zone of the deposits. At low elevation since AD 1650 the magnitude and frequency of avalanches have declined. Copyright © 2004 John Wiley & Sons, Ltd.
Transcriptional Co-regulation cerevisiae Alcohol Acetyltran Ä-9 Fatty Acid Desaturase G Fatty Acids

The ATF1 gene encodes an alcohol acetyl transferase which and several kinds of alcohols. ATF1 expression is repress ATF1-lacZ fusion plasmid revealed that ATF1 gene expres acids, and the degree of ATF1 transcriptional repression v acids. Interestingly, it was noted that the degree of ATF1 tr of unsaturated fatty acids added to the medium. The OLE1 reported to be repressed by unsaturated fatty acids. Transc unsaturated fatty acids under anaerobic conditions. The related to the melting point of the added unsaturated fatty transcription are regulated in response to cell membrane fl ATF1 by unsaturated fatty acids was relieved in a disrupta acid activation genes. However, the ATF1 transcript in this results suggested that ATF1 transcription was co-regulate unsaturated fatty acids and oxygen repressed the ATF1 tra Wiley & Sons, Ltd.
Security Issues in IoT-Based Healthcare

The paper describes security issues of Internet of Things (IoT)-based applications like healthcare application systems. In recent years, because of increased usage of IoT devices the IoT networks are becoming prone to various security attacks. In this paper, a comprehensive study on security and privacy issues in IoT networks is provided. The IoT which has become a popular technology in recent days is a concept reflecting a connected set of anyone, anything, anytime, anyplace, any service and any network. The IoT builds smart objects, the ultimate devices in the development of healthcare information system. The usage of IoT technologies is a boon to the modern healthcare environment. Since IoT is the next stage of technological revolution, it has become a necessity to incorporate it in the medical field for the convenience it provides. Further, this paper surveys intelligent collaborative security model to minimise security risk. As opposed to the traditional Internet, in addition to humans, an IoT connects a large number of machines mobile, tablet, pc, resourceconstrained devices and sensors using heterogeneous wired and wireless networks. An IoT typically has three conceptual layers consisting of perception, network and application layers.
Cloning and Sequencing of the NES 24 Gene of Saccharomyces cerevisiae

We have cloned NES24 using a temperature-sensitive nes24-I mutant as a host and sequenced a 3162 bp XhoI-EcoRI DNA fragment containing the NES24 gene. Computer analysis revealed that this segment contains a 1806 bp open reading frame which is needed for complementation of the nes24-I mutation. We found SUP8 in the region upstream of the NES24 gene, placing the NES24 gene on chromosome XIII. A protein homology search indicated that NES24 encodes a new protein. The disruption of the NES24 gene resulted in temperature-sensitive growth. The sequence has been deposited in DDBJ/EmBWGenBank data bases under Accession Number D15052.
Phase-field modelling and computing for a large number of phases

We propose a framework to represent a partition that evolves under mean curvature flows and volume constraints. Its principle follows a phase-field representation for each region of the partition, as well as classical Allen–Cahn equations for its evolution. We focus on the evolution and on the optimization of problems involving high resolution data with many regions in the partition. In this context, standard phase-field approaches require a lot of memory (one image per region) and computation timings increase at least as fast as the number of regions. We propose a more efficient storage strategy with a dedicated multi-image representation that retains only significant phase field values at each discretization point. We show that this strategy alone is unfortunately inefficient with classical phase field models. This is due to non local terms and low convergence rate. We therefore introduce and analyze an improved phase field model that localizes each phase field around its associated region, and which fully benefits of our storage strategy. To demonstrate the efficiency of the new multiphase field framework, we apply it to the famous 3D honeycomb problem and the conjecture of Weaire–Phelan’s tiling.