Miracle-dz/UniFAR-FTUs huggingface dataset:
Advanced Feature-Based Facial Expression Recognition from Image Sequences Using SVMS

This examination mentions a new facial illustration discovery technique constructed on improved Support Vector Machine (SVM) by adapting advanced kernels. The operator physically places certain pixels to the face exhibited at the first framework. The crisscross adjustment scheme pathways the full crisscross as the facial illustration develops through time, consequently yielding a crisscross that resembles to the countless concentration of the facial illustration as presented in the final frame. Suitable pixels that are complicated into creating the Facial Units (FUs) movements are chosen. Their geometrical dislocation data, expressed as the co-ordinates variance between the final and the main frame, is obtained to be the input to a bank of SVM. The outcomes display an identification precision of nearly 94% and 95% for straight and FU built facial appearance detection, correspondingly. The clue is to elaborate the three-dimensional movements about the dividing border exterior, by a conformal plotting, such that the reparability between courses is amplified. Illustrations are assumed exclusively for adapting histogram intersection kernels. Replication outcomes for both artificial and real data display extraordinary development of simplification faults, supporting our awareness.
Formulation and Evaluation of Natural Herbal Hair Dye Gel Using Lawsonia inermis (Henna Leaves) and Skin Irritation Studies in Albino Rats

: Introduction: Hairs are protective appendages on the body that remain on one or other part of body from the time of birth to death. People who carry luxuriant and lustrous hair are regarded as young and beautiful. Since the conventional methods of hair coloring by the use of natural or synthetic colorants has limitations, an attempt has been made in this study to formulate a hair dye using crude drugs having good coloring property that is safe and ready to use. Objectives: To formulate and evaluate natural polyherbal hair dye gel using henna, tea, hibiscus leaves powder and amla fruit extract. Materials and Methods: For this purpose, powders of Henna leaves, Hibiscus leaves, Amla fruits and Tea leaves were procured from the local market in Sikkim and Kathmandu. The extract was prepared by cold maceration using water as solvent. Preliminary identification of phytochemical constituents was performed. Various physical parameters were used for standardization. Formulation of hair dye gel were done using carbopol-934, extract of henna, tea, hibiscus leaves powder, amla fruit extract, glycerin, sodium hydroxide solution (1%), methyl paraben and distilled water. Dyeing studies of formulated gel and marketed gel on human hair was performed. Skin Irritation study of formulated gel was performed in albino rats (n = 6) as per experimental protocol approved by Institutional animal ethical committee IAEC No. HPI/2018/IAEC/PP-0165. Observation and Results: The study revealed that all the selected plants contain alkaloids, flavonoids, tannins & phenolic compounds, glycosides, carbohydrate, saponin, fat & volatile oils, gum & mucilage, sterols and protein which imparts benefits such as promotion of hair growth and prevention of hair greying while being safe and eco-friendly. Comparison of physicochemical properties of formulated and marketed formulation both has similar color, appearance and consistency. Skin irritation studies showed absence of erythema and or edema indicating absence of sensitivity or reaction on the skin. Conclusions: The above findings suggest that the prepared formulation was good and can be used for hair dyeing purposes without irritation and erythema.
1.5V 1.8GHz bandpass amplifier

To have a fully integrated communication system in CMOS, a CMOS bandpass amplifier which combines the functions of low noise amplifier (LNA) and bandpass filter (BPF) is necessary. In a conventional bandpass amplifier, a Q-enhancement circuit is required to compensate for the resistive loss in the integrated inductor. The Q-enhancement circuit, however, being active, increases the power consumption (P d ) and noise figure (NF) of the system. In the paper, a new bandpass amplifier has been proposed which can achieve the required Q without an additional Q-enhancement circuit. Comparison with other recent designs shows that the proposed amplifier has the lowest P d and the best noise performance. Based on the CSM 0. 25μm CMOS process, the bandpass amplifier has a gain of 25.3dB, a Q of 30, an NF of 3.56dB and a P d of 35.7mW at 1.8GHz.
DETECTION OF ALZHEIMER ’ S DISEASE USING MRI IMAGES BASED ON SVM CLASSIFIER

In the present scenario, most of the people are suffering from memory loss which leads to the cause of Alzheimer ’ s disease. It slowly destroys the brain cells resulting in memory loss affects thinking, language skills and behavioral changes. As the age progresses, people are affected with this disease. So, it is required to detect at an initial stage, so that proper treatment can be given to the patient. There are various methods such as mini mental state examination, HOG and SURF, regional arthopy are used to detect Alzheimer ’ s. But these methods are not reliable. So proposed method effectively detects Alzheimer ’ s disease. This method consists of four steps that is, preprocessing, segmentation, feature extraction and classification. This method extracts various textual features using GLCM. SVM classifier is used to classify these features and it is more superior compared to other classifiers. The proposed SVM classifier based Alzheimer ’ s detection is more superior when compared to the other methods.
Security Threat Landscape

Driven by digitalization, information sharing has been experiencing exponential growth in the past few years. In turn, one’s eagerness to better prepare and protect depends on the ability to change the attitude from “need to know” to “need to share”. Digital technologies, most notably Artificial Intelligence (AI), have shaped decision-making, everyday communication, life, and work, hence highlighting the importance of maintaining the online economy and ensuring its prosperity. The threat landscape is continuously changing and evolving to address the evolution of the IT environment from software to IoT, via services and cloud computing. Providing an up-to-date overview of the current state of the art on threats and cybersecurity is critical to provide a picture of the status of cybersecurity and evaluate new trends in cybersecurity focusing on emerging threats and evolving attacks. CONCORDIA cybersecurity threat analysis is inspired by the different research domains and considers the following domains: (i) network-centric, (ii) system/software-centric, (iii) application/data-centric, (iv) user-centric, v) device-centric security. Network-centric security refers to data transport as well as to the networking and the security issues associated with it. Topics range from DDoS protection, Software-Defined Networking (SDN), ad hoc networks to encrypted traffic analysis, 5G. Systemcentric security centers around cloud and virtualized environments, while IoT/Device-centric security centers around modern systems such as the Internet of Things (IoT)/edge and corresponding devices, both targeting topics such as middleware, secure OS, and security by design, Malware analysis, systems security validation, detection of zero-days, and recognizing service dependencies are specifically addressed. Data-centric security addresses issues concerned with management, analysis, protection, and visualization of data at all layers of a given system/environment, focusing on modern Big Data environments. Application-centric security addresses issues related to the security of applications, like modern services and their management. User-centric security addresses issues like privacy, social networks, fake news and identity management. The above domains apply to any environments ranging from traditional distributed IT systems to devices that produce raw data, such as embedded systems, sensors, IoT devices, drones, and the associated security-centric issues, such as IoT security, via service-based systems, such as, service-oriented architecture, cloud, microservices.
Coordinating tiny limbs and long bodies: Geometric mechanics of lizard terrestrial swimming

Significance Lizards range in morphology from fully limbed with short bodies to elongate and limbless; little is known how diverse species “self-deform”—coordinate body and limb movements—for effective locomotion. We investigated the role of body movements for a spectrum of lizard morphologies in field and laboratory environments, discovering a heretofore unknown diversity of self-deformation patterns in which body dynamics were describable by a linear combination of standing wave body bending and traveling wave body undulation. Specifically, species with more elongate bodies and reduced limbs used a greater degree of traveling wave. Numerical, biological, and robophysical experiments reveal that the transition from lizard-like gaits to snake-like gaits is advantageous when thrust generation transitions from limbs to body.
Bounded-Suboptimal Search with Learned Heuristics

Reinforcement learning allows learning very accurate heuris- tics for hard combinatorial puzzles like the 15-puzzle, the 24-puzzle, and Rubik’s cube. In this paper, we empirically inves- tigate how to exploit these learned heuristics in the context of (deterministic) heuristic search with bounded suboptimal- ity guarantees, using the learned heuristic for the 15 and 24-puzzle of DeepCubeA. We show that Focal Search (FS), in its most straightforward form, that is, using the learned heuristic to sort the focal list, has poor performance when compared to Focal Discrepancy Search (FDS), a version of FS that we propose that uses a discrepancy function to sort the focal list. This is interesting the best performing algorithm does not use the heuristic values themselves but just the ranking between the successors of the node. In addition, we show FDS is competitive with satisﬁcing search algorithms Weighted A* and Greedy Best-First Search.
The Impact of Accounting Information on Decision Making of Stakeholders

The impact of accounting information on decision making in organization cannot be overemphasized. The study examines how accounting information has influence the economic decisions of stakeholders. Data were collected through 100questionnaire distributed to respondents while research design was adopted. Two research hypotheses were raised and tested while the demographic information of the respondents were analyzed using simple percentage, the hypotheses were tested using t-test statistic at a significant level of 5%. It was concluded that there is a significant relationship between accounting information and decision making of the users of financial statements. It was recommended that organization should employ professional accountant in order to provide valuable information and keep accurate record of their accounts.
High efficiency dynamic pressure based flow measurement

Over the past few decades considerable attention have been directed towards the development of different types of flow-metering techniques. High pressure drop after passing the metering device and partial obstruction of the flow represent the two most common problems for the majority of the existing flow-metering devices. The main intention of the current study was to overcome or minimize these two issues. The principle objectives were developing a low-cost measurement system and setup to measure the flow in pipes of small diameters (0.5” to 4”), and performing an analytical / numerical model that enables to extract the distinction of the dynamic pressure throughout the flow. Both analytical and numerical solutions of the fluid flow inside the pipe indicate forming of a parabolic velocity profile across the pipe in the fully developed flow region. Dynamic pressure variation due to velocity change across the pipe is used as the fundamental measurement principle in this work. The equipped cantilever beams with piezo-resistive materials are used as sensor for detecting the induced signals in three different levels across the pipe. The collected signals are used to reconstruct the parabolic velocity profile. Further, the integration of the parabolic profile in the cross-section area of the pipe will yield to the flow value. The constructed sensors with strain gages are connected to a Wheatstone-Bridge. The resistance variation due to the strain changing in cantilever platform converts to voltage variation by the Wheatstone-Bridge. Signal amplification and filtering are carried out by a dedicated circuit board. The work was extended to inkjet-printing of the conductive ink which is introduced as an alternative method for piezoresistive sensor fabrication. Easiness and fast-fabrication process are two important factors which give ability to mass production of low-cost piezoresistive sensors.
Short-term genetic changes: evaluating effective population size estimates in a 4 comprehensively described brown trout ( Salmo ) population

The effective population size ( N e ) is notoriously difficult to accurately estimate in wild 34 populations as it is influenced by a number of parameters that are difficult to delineate in 35 natural systems. The different methods that are used to estimate N e are impacted variously by 36 different processes at the population level, such as the life-history characteristics of the 37 organism, gene flow, population substructure, as well as by the frequency patterns of genetic 38 markers used and the sampling design. Here, we compare N e estimates obtained by different 39 genetic methods and from demographic data, and elucidate how the estimates are impacted by 40 various factors in an exhaustively sampled and comprehensively described natural brown 41 trout ( Salmo trutta ) system. In general, the methods yielded rather congruent estimates, and 42 we ascribe that to the adequate genotyping and exhaustive sampling. Effects of violating the 43 assumptions of the different methods were nevertheless apparent. In accordance with 44 theoretical studies, skewed allele frequencies would underestimate temporal allele frequency 45 changes and thereby upwardly bias N e if not accounted for. Overlapping generations and 46 iteroparity would also upwardly bias N e when applied to temporal samples taken over short 47 time spans. Gene flow from a genetically not very dissimilar source population decreases 48 temporal allele frequency changes and thereby acts to increase estimates of N e . Our study 49 reiterates the importance of adequate sampling, quantification of life-history parameters and 50 gene flow, and incorporating these data into the N e estimation.
GliomaMicroenvironment in a Murine Intracranial CTLs by Modulation of the Immunological Adoptive Transfer Therapy Using Type-1 Inhibition of STAT3 Promotes the Efficacy of

A variety of cancers, including malignant gliomas, show aberrant activation of STAT3, which plays a pivotal role in negative regulation of antitumor immunity. We hypothesized that inhibition of STAT3 signals would improve the efﬁcacy of T cell adoptive transfer therapy by reversal of STAT3-induced immunosuppression in a murine GL261 intracranial glioma model. In vitro treatment of GL261 cells with JSI-124, a STAT3 inhibitor, reversed highly phosphorylated status of STAT3. Systemic i.p. administration of JSI-124 in glioma-bearing immunocompetent mice, but not athymic mice, resulted in prolonged survival, suggesting a role of adaptive immunity in the antitumor effect. Furthermore, JSI-124 promoted maturation of tumor-inﬁltrating CD11c (cid:1) dendritic cells and activation of tumor-conditioned cytotoxic T cells, enhanced dendritic cells and GL261 production of CXCL-10, a critical chemokine for attraction of Tc1 cells. When i.p. JSI-124 administration was combined with i.v. transfer of Pmel-I mouse-derived type-1 CTLs (Tc1), glioma-bearing mice exhibited prolonged survival compared with i.p. JSI-124 or i.v. Tc1 therapy alone. Flow cytometric analyses of brain inﬁltrating lymphocytes revealed that JSI-124-treatment enhanced the tumor-homing of i.v. transferred Tc1 cells in a CXCL-10-dependent fashion. Systemic JSI-124 administration also up-regulated serum IL-15 levels, and promoted the persistence of transferred Tc1 the host. These data suggest that systemic inhibition of STAT3 signaling can reverse the suppressive immunological environment of intracranial tumor bearing mice both systemically and locally, thereby promoting the efﬁcacy of adoptive transfer therapy with Tc1. Immunology, 180:
ATLAS NOTE ATLAS-CONF-2013-049 Searches for direct slepton-pair and chargino-pair production in ﬁnal states with two opposite-sign leptons, missing transverse momentum and no jets in 20 fb − 1 of pp collisions at s = 8 TeV with the ATLAS detector

Searches for the electroweak production of pairs of sleptons or charginos decaying into ﬁnal states with two leptons, missing transverse momentum and no reconstructed jets are performed using 20.3 fb − 1 of proton-proton collision data at √ s = 8 TeV recorded with the ATLAS experiment at the Large Hadron Collider. No signiﬁcant excesses are observed with respect to the prediction from Standard Model processes. Limits are set on the masses of the slepton and of the lightest chargino for di ﬀ erent lightest-neutralino mass hypotheses. In scenarios where sleptons decay directly into the lightest neutralino and a charged lepton, common values for left and right-handed slepton masses between 90 GeV and 320 GeV are excluded at 95% conﬁdence level for a massless neutralino. In the scenario of chargino pair production, with wino-like charginos decaying into the lightest neutralino via an intermediate slepton, chargino masses between 130 GeV and 450 GeV are excluded at 95% conﬁdence level for a 20 GeV neutralino. In the scenario of chargino pair production followed by the ˜ χ ± 1 → W ± ˜ χ 01 decay, the excluded cross-section is above the model cross-section by a factor 1.9–2.8 in the ˜ χ ± 1 mass range of 100–190 GeV and then degrades gradually to 4.7 when reaching a ˜ χ ± 1 mass of 250 GeV.
Supplemental Reading Interventions Implemented by Paraeducators

The acquisition and utilization of literacy skills is a crucial part of social functioning. Preventative and intensive reading intervention can be administered to at-risk students in a systematic way to help facilitate gains on literacy outcomes. Despite this, barriers to implementation arise. One solution might be the use of paraeducators as providers of supplemental reading instruction. The current study uses meta-analytic procedures to evaluate two major questions: what is the overall effectiveness of paraeducators as implementers of reading intervention? In which areas are paraeducators most effective? A literature search of research from 2001 – 2017 yielded 76 studies. Nine studies met the predetermined inclusion criteria and were coded for demographic information and six common reading outcomes. Results must be interpreted with caution due to issues with sample size and heterogeneity. Spelling and decoding emerge as hopeful areas to inform future research. Other patterns involving grade, ethnicity, and gender are also explored. Implications and limitations are further discussed.
A Multi-Actor Multi Criteria Analysis of Carbon Tax Design:Case Study of Peru

Carbon taxes have gained popularity during the last decade, but still very few developing countries have adopted the policy. A carbon tax could prove fruitful in improving Peru’s Nationally Determined Contributions, declared during the COP21 in Paris. It could also help them in pursuing other objectives such as a membership in the OECD and several domestic goals set by the government. The study applies a Multi-Actor Multi Criteria Analysis (MAMCA) to gain understanding of which carbon tax attributes are considered desirable by stakeholders in Peru. In doing so, their priorities were established which can be used to determine the optimal carbon tax design for Peru. The MAMCA is a method that uses the opinions of stakeholders to evaluate different policy alternatives. To collect information regarding the opinions of stakeholders interviews were made along with an online survey. The study found that the overall preference of the stakeholders resulted in a high and extensive carbon tax or no carbon tax at all. However, when examining the results more closely, the Basic and Medium were better suited for the Peruvian context. The study also found that a carbon tax implementation would not be feasible without revenue recycling. The acceptance of the population depends very much on the design of the carbon tax and how the revenues would be reinvested.
NovoGraph: Human genome graph construction from multiple long-read assemblies de novo [version 2; peer review: 2 approved] A genome graph representation of seven

Genome graphs are emerging as an important novel approach to the analysis of high-throughput human sequencing data. By explicitly representing genetic variants and alternative haplotypes in a mappable data structure, they can enable the improved analysis of structurally variable and hyperpolymorphic regions of the genome. In most existing approaches, graphs are constructed from variant call sets derived from short-read sequencing. As long-read sequencing becomes more cost-effective and enables assembly for increasing numbers of de novo whole genomes, a method for the direct construction of a genome graph from sets of assembled human genomes would be desirable. Such assembly-based genome graphs would encompass the wide spectrum of genetic variation accessible to long-read-based assembly, de novo including large structural variants and divergent haplotypes. Here we present NovoGraph, a method for the construction of a human genome graph directly from a set of assemblies. NovoGraph de novo constructs a genome-wide multiple sequence alignment of all input contigs and
ARABIDOPSIS DEHISCENCE ZONE POLYGALACTURONASE1 are polygalacturonases

One-sentence summary: Gain of function mutations in SERK1 suppress the abscission defect of the haesa/haesa-like 2 mutant by activating a SOBIR1 signaling pathway. In Arabidopsis ( Arabidopsis thaliana ), the abscission of floral organs is regulated by two 27 related receptor-like protein kinases, HAESA (HAE) and HAESA-like 2 (HSL2). In 28 complex with members of the SERK family of co-receptor protein kinases, HAE and 29 HSL2 are activated when bound by INFLORESCENCE DEFICIENT IN ABSICSSION 30 (IDA), a proteolytically processed peptide ligand, activating the expression of genes 31 encoding secreted cell wall remodeling and hydrolase enzymes. hae hsl2 mutants fail to 32 induce expression of these genes and retain floral organs indefinitely. Here, we report 33 identification of an allelic series of hae hsl2 suppressor mutations in the SERK1 co- 34 receptor protein kinase gene. Genetic and transcriptomic evidence indicates these 35 alleles represent a novel class of gain-of-function mutations that activate signaling 36 independently of HAE/HSL2. We show that, surprisingly, the suppression effect does not 37 rely on the protein kinase activity of SERK1, and that activation of signaling relies on the 38 receptor-like kinase gene SUPPRESSOR OF BIR1 (SOBIR1) . The effect of these 39 mutations can be mimicked by loss-of-function of BAK1-INTERACTING RECEPTOR- 40 LIKE KINASE 1 (BIR1), a known negative regulator of SERK - SOBIR1 signaling. These 41 results suggest that BIR1 negatively regulates SERK-SOBIR1 signaling during 42 abscission, and that the identified SERK1 mutations likely interfere with this negative 43 regulation.