Miracle-dz/UniFAR-FTUs huggingface dataset:
Factor Investing Using Capital Market Assumptions

Capital market assumptions (CMAs), which are long-term risk and return forecasts for asset classes, are important pillars of the investment industry. However, applying them reliably in portfolio construction has been (and still is) a challenge in the industry. This article demonstrates that, despite the difficulties, CMAs are useful for building an investment portfolio using a factor approach. Using a small set of macroeconomic factors, the authors detail a methodology for deriving a factor model from CMAs and then use it to show that (1) these factors price the expected returns from CMAs and (2) the mean–variance factor allocations are substantially more stable than the mean–variance asset portfolios. Furthermore, this article outlines a new approach to building an asset portfolio that respects a desired factor allocation. Overall, this article helps reduce the barrier to entry for factor-based portfolio construction by providing a recipe for building factor models and performing factor-based portfolio construction using publicly available CMAs.
A metric learning network based on attention mechanism for Power grid defect identification

Aiming at the current situation that deep learning has a strong dependence on sufficient samples and it is difficult to obtain sufficient labeled samples in practical applications, a few-shot image classification method combining attention mechanism is proposed. Firstly, the feature extraction module adds an attention mechanism to increase the weight of important parts, pay attention to the more important parts of the image, and obtain the corresponding feature vector. Secondly, the relevance measurement module is used to calculate the similarity between features to determine the category of the query image. Experiments have proved that our proposed model improves the accuracy of about 1.2% compared with the existing model. At the same time, the model is applied to the classification of power grid defects.
Contribution of AHP method in prioritizing risk factors regarding tunnel project phases

Tunnel projects are consistently regarded to be mostly a complex and risky engineering projects, owing to the features of the projects, since they increasingly achieve high risk and complexity during the execution of the project. this led to the fact that the necessity of risk management understanding and implementing is a crucial quest with the intention to obtain tunnel project objectives considering (time, cost, quality & safety) to avoid time and cost overruns and any other obstacles. it was observed the most affecting objective was Safety (47.3%) by AHP method in which it is actually reasonable as such project of tunnel need a great concern regarding that matter for many reasons for instance the closed construction area, ventilation considerations, blasting, and so on. the second major objective is quality (31.1%) in which as experts always say it has to be maintained as a high quality as possible.
FPGA-based convolutional layer implementation

In this paper, several approaches to the implementation of a convolutional layer of a neural network on FPGAs for use in embedded systems are considered, as well as a number of optimizations necessary to speed up the operation of such a layer. At the end of the work, an FPGA-based implementation is proposed that is comparable in performance with the reference CPU-based one.
Scalable Attestation Protocol Resilient to Physical Attacks for IoT Environments

Trusted data transmission is the foundation of the Internet of Things (IoT) security, so in the process of data transmission, the trust of IoT nodes needs to be confirmed in real time, and the real-time tracking of node trust is also expected. Yet, modern IoT devices provide limited security capabilities, forming a new attack focus. Remote attestation is a kind of technology to detect network threats by remotely checking the internal situation of terminal devices by a trusted entity. Multidevice attestation is rarely studied although the ongoing single device attestation techniques lack scalability in the application of IoT. In this article, we present a lightweight attestation protocol based on an IoT system under an ideal physical unclonable functions environment. Our protocol can resilient against any strong adversary who physically accesses IoT devices. Simulation results show that our protocol is scalable and can be applied to dynamic networks.
Contenido de carbono y estructura horizontal de un bosque templado en Guadalupe y Calvo, Chihuahua

Es importante conocer la estructura y la cantidad de carbono almacenado en los ecosistemas forestales, ya que representan uno de los principales sumideros de dióxido de carbono (CO2) en los ecosistemas terrestres. Este estudio se llevó acabo en el ejido Chinatú, municipio Guadalupe y Calvo, Chihuahua, donde se realizó un muestreo aleatorio de ocho sitios circulares de 1 000 m2 distribuidos en 80.46 ha de superficie. Se analizó la estructura horizontal con base en el Índice de Valor de Importancia (IVI) y clases diamétricas; además, se determinó el cociente de mezcla, la riqueza y diversidad de especies de acuerdo con los índices de Margalef (DMg) y de Shannon-Weiner (H´); el carbono almacenado en la biomasa aérea se estimó mediante ecuaciones alométricas, por medio del volumen para cada una de las especies. Se identificaron 10 taxones con una densidad de 460 individuos (N ha-1), la especie de mayor valor ecológico (IVI) fue Pseudotsuga menziesii con 26.14 %, la riqueza y diversidad obtenida fue de DMg = 1.47 y H’ = 1.96, respectivamente, la distribución diamétrica correspondió a una curva de Liocourt balanceada, y el contenido de carbono almacenado fue de 45.20 Mg C ha-1. Estos análisis muestran que el bosque es homogéneo, sin dominancia amplia de alguna especie en particular y está en buen estado de conservación, ya que en las categorías diamétricas menores hay abundante presencia de individuos pequeños que, posteriormente, sustituirán a la masa madura.
Mitigation of Pendimethalin Residues as Influenced by the Organic Sources and Bioagents in Sandy Clay Loam Soil Grown with Greengram

Herbicides have become one of the most important components for efficient weed control and in turn for increasing the agricultural production and to maintain the non-cropped area free from weeds and pests. Herbicides use is increasing throughout the globe due to increasing labour cost, choice of application of herbicides, quick weed control in crop and non-cropped areas. Globally consumption of herbicides is 44% followed by the insecticides (22%), fungicides (27%) and others (7%). In India, herbicide use has increased to 30% during the last 10 years in managing weeds in the country (Sondhia, 2014). As herbicides are chemical in nature and thus excessive and repeated use may pose residue problems, phyto-toxicity to crop plants, residual effect on susceptible intercrops or succeeding crops or non targets organisms and ultimately health hazards due to accumulation of herbicide residues in the soil. In general, herbicides have been International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 9 Number 12 (2020) Journal homepage: http://www.ijcmas. com
FROM LANGUAGE TEACHERS TO LANGUAGE LEARNING ADVISORS: A JOURNEY MAP

This article examines the development of the practice of advising in language learning (ALL) and the establishment of a distinctive role for advisors over the last three decades. It firstly defines ALL, its principles, as well as interdisciplinary contributions from, inter alia, counselling, psychology, and coaching to the construction of reflective dialogue at the heart of advising. Secondly, it discusses the evolution from two distinctive practices (teaching and advising) into a more highly integrated, mindful, professional practice of people in interaction and reflection advisors’ skills and competences in relation to intentional use of dialogic choices (intentional reflective dialogue) as enablers, or blockers, in successful, sustained learning conversations. Afterwards, it illustrates advisors’ professional development stories and their professional needs. It then identifies areas for further research and further developing the professional preparation of ALL practitioners. It concludes by reflecting on the challenges facing universities, and the opportunities which ALL may offer.
Avaliação de algoritmos de assinatura digital em redes veiculares utilizando ambiente emulado

Advanced Driver Assistance Systems (ADAS) are being embedded in vehicles to reduce the number of accidents. Annually, 1.35 million people die in traffic accidents, so the VANET (Vehicle Ad Hoc Network) will be the next ADAS generation, providing communication and traffic safety. However, malicious users can forge messages on the network. The digital signature algorithms RSA, ECDSA and Ed25519 can be used to guarantee the authenticity of messages. This article evaluates these algorithms in VANET, using an emulated environment. The results show that the Ed25519 is faster than the others and its use is computationally feasible in VANETs, considering the driver’s reaction time and the braking distance. Resumo. Os sistemas de assistência ao motorista (ADAS) estão sendo embarcados nos veı́culos para reduzir o número de acidentes. Anualmente, 1,35 milhões de pessoas morrem em acidentes de trânsito. Com isso, a VANET (Vehicle Ad Hoc Network) vem para prover mais comunicação e segurança no trânsito. Porém, usuários mal intencionados podem forjar mensagens na rede. Os algoritmos de assinatura digital RSA, ECDSA e Ed25519 podem ser usados na garantia de autenticidade das mensagens. Este artigo avalia estes algoritmos em VANET, utilizando um ambiente emulado. Resultados mostram que o Ed25519 é mais rápido que os demais e seu uso é computacionalmente viável em VANETs, considerando o tempo de reação do motorista e a distância de frenagem.
Evaluation of Strengths of Dual Vocational Educational Training in Andalusia (Spain): A Stake on the Future

Dual Vocational Training was introduced in Spain in 2012 with the purpose to reinforce training based on employment requirements and to promote youth employment within the labour market. Since its implementation, there has been continuous growth of the presence of this modality across every Autonomous Community, with Andalusia being one of the latest regions to dualize the Vocational Educational Training (hereinafter VET) educational scheme. From the outset however, this modality has faced a number of obstacles that question its sustainability. Without losing sight of these obstacles, and with the purpose of providing arguments that justify the suitability of this model in Andalusia, this study aims to identify—from the unique perspective of three Andalusian educational institutions—the strengths of this modality and the opportunities that the Andalusian context offers. To this end, we have used the SWOT technique to analyse the opinion of a group of teachers regarding their thoughts on the Andalusian Dual VET system, from both an internal and external perspective. Workforce insertion and the quality of skills gained through training are some of the strengths that characterize this model, with the greatest opportunities derived from the needs of the Andalusian business and productive sectors. Based on the scenarios drawn, we have suggested a number of guidelines to capitalize on some of the identified strengths and take advantage of the opportunities observed.
Functional remission in Belgian forensic psychotic patients – story of a virtuous cycle?

ABSTRACT In this article, we examine the associations between functional remission, psychotic symptoms and protective risk factors, and we study the reliability and validity of the Functional Remission Of General Schizophrenia scale (FROGS) in a sample for forensic psychotic patients. Functional remission was measured using the FROGS, psychotic symptoms were assessed using the Positive and Negative Syndrome Scale scale (PANSS), and protective risk factors were collected using the Structured Assessment of Protective Factors (SAProF). A sample of 127 patients from a forensic medium-secure unit for psychosis were included in this retrospective correlational study. The FROGS factor scales, Daily Life and Relationship subscales and total scale had acceptable psychometric properties. Functional remission is strongly associated with the absence of psychotic symptoms (especially negative symptoms), and protective risk factors. The FROGS factor scales and subscales were able to predict the care setting at discharge (residential, semi-residential, or independent living). Functional remission appears to be a cornerstone in the forensic rehabilitative process as the Good Lives Model for Mental Health and the Remission in Schizophrenia Working Group suggested. The FROGS can be used reliably and validly in a forensic population.
Effectiveness of Machine Learning Approaches Towards Credibility Assessment of Crowdfunding Projects for Reliable Recommendations

Recommendation systems aim to decipher user interests, preferences, and behavioral patterns automatically. However, it becomes trickier to make the most trustworthy and reliable recommendation to users, especially when their hardest earned money is at risk. The credibility of the recommendation is of magnificent importance in crowdfunding project recommendations. This research work devises a hybrid machine learning-based approach for credible crowdfunding projects’ recommendations by wisely incorporating backers’ sentiments and other influential features. The proposed model has four modules: a feature extraction module, a hybrid LDA-LSTM (latent Dirichlet allocation and long short-term memory) based latent topics evaluation module, credibility formulation, and recommendation module. The credibility analysis proffers a process of correlating project creator’s proficiency, reviewers’ sentiments, and their influence to estimate a project’s authenticity level that makes our model robust to unauthentic and untrustworthy projects and profiles. The recommendation module selects projects based on the user’s interests with the highest credible scores and recommends them. The proposed recommendation method harnesses numeric data and sentiment expressions linked with comments, backers’ preferences, profile data, and the creator’s credibility for quantitative examination of several alternative projects. The proposed model’s evaluation depicts that credibility assessment based on the hybrid machine learning approach contributes efficient results (with 98% accuracy) than existing recommendation models. We have also evaluated our credibility assessment technique on different categories of the projects, i.e., suspended, canceled, delivered, and never delivered projects, and achieved satisfactory outcomes, i.e., 93%, 84%, 58%, and 93%, projects respectively accurately classify into our desired range of credibility.
Identification of the Pathogenic Bacteria Contaminated Canine Feeding Process

The Hazard Analysis and Critical Control Points (HACCP) system has become a synonymous with food safety. It is a worldwide-recognized systematic and preventive approach that addresses biological, physical and chemical hazards through anticipation and prevention rather than through end-product inspection and testing (FAO, 1998). The best food is one that meets all the nutritional requirements necessary for gog health. Dry food which is the most economical type of commercial food. But canned food or wet food has shelf live and preferred by dogs. The least nutritional value of all dogs feed is semi-moist food (Pork, burgers or other meaty food). While home cooked food used by owners is time consuming and expensive. Whereas, raw food (mixture of bones and organs) is good for International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 9 Number 12 (2020) Journal homepage: http://www.ijcmas. com
Post-traumatic cubitus varus: long-term follow-up of corrective osteotomy using the Ilizarov method of compression distraction osteogenesis

The term cubitus varus describes the inward inclination of the supinated forearm on the extended elbow. The deformity manifests clinically as a decreased carrying angle, decreased range of motion (ROM) along with a cosmetically unsightly appearance. The aim of the present study was to evaluate the technique of compression-distraction osteogenesis using the Ilizarov apparatus in the management of patients with post-traumatic cubitus varus deformity. The objectives were to study the impact of this method on the ROM, the Humerus Elbow Wrist (HEW) angle as well as the Lateral Prominence Index. A total of 32 patients who presented with a cubitus varus deformity of ≥10° at the elbow were retrospectively analyzed using data retrieved from a computerized hospital database. All patients had undergone a mini-incision subperiosteal osteotomy followed by application of an Ilizarov frame. Cinico-radiological follow-up was carried out at regular intervals until union was achieved and yearly thereafter. The mean time to union was 11 weeks. The mean follow-up period ranged from 2 to 12 years (mean 4.0 years). Results were graded as excellent in 25 cases (78.1%), good in 2 (6.3%) and poor in 5 case (15.6%) using the grading system of Oppenheim. The mean HEW angle at final follow-up improved from 20° of varus to 6° of valgus. The mean flexion/extension improved from 121°/−3° preoperatively to 125°/−4° at final follow-up. The Mayo Elbow Performance scores at final follow-up were excellent in 23 cases, good in 7 and fair in 2. Complications encountered included superficial pintract infections in three cases, lateral condylar prominence in one case, loss of terminal flexion in three cases and valgus over-correction in one case.
Analysis of the Defence Responses to Tomato Spotted Wilt Orthotospovirus (TSWV) and Hippeastrum Chlorotic Ringspot Orthotospovirus (HCRV) Infection in Capsicum Annuum Based on Transcriptome

Background: Orthotospovirus has a wide range of hosts, widely distributed in southwestern China and have serious harm to crop production. Tomato spotted wilt orthotospovirus (TSWV) and Hippeastrum chlorotic ringspot orthotospovirus (HCRV) are seriously harms the quality of pepper (Capsicum annuum L.). However, the detailed molecular mechanism of pepper disease caused by TSWV and HCRV remains obscure.Method: Transcriptome analysis (RNA-seq) based on high-throughput sequencing, with TSVV, HCRV and mock-inoculated plants as controls, to investigate and compare the gene expression changes in pepper leaves, and analyze the plants invaded by orthotospoviruses defensive response.Results: The RNA-Seq results of pepper 1 day after inoculation (1 dpi) showed that the number of differentially expressed genes(DEG) after HCRV infection was greater than that after TSWV infection. Gene Ontology enrichment and KEGG pathway analyses were performed on the two viruses, and the KEGG results showed that DEG were mainly enriched in plant-pathogen interactions, plant hormone signal transduction, and defence processes.Conclusion: The conclusion of this study is that after orthotospovirus infects pepper, the DEG changes in the processes of plant-pathogen interaction, plant hormone and phenylpropanoid synthesis. In addition, transcription factors such as WRKY and MYB changed significantly. These factors comprehensively affect the plant's defence response and ultimately enhance the plant's resistance to viruses. Findings of present study will significantly help enhance our understanding of the complicated defense process of plant responses to orthotospoviruses infection.
X-RAY SPECTROSCOPIC CHARACTERIZATION OF SHOCK-IGNITION-RELEVANT PLASMAS

Experiments with multilayer plastic/Cu targets performed at a PALS laser system aimed at the study of matter at conditions relevant to a shock ignition ICF scheme, and, in particular, at the investigation of hot electrons generation. Plasma temperature and density were obtained using high-resolution X-ray spectroscopy. 2D-spatially resolved quasi–monochromatic imaging was observing the hot electrons via fluorescence K emission in the copper tracer layer. Found values of plasma temperature 690 ± 10 eV, electron density 3 × 1022 cm-3 and the effective energy of hot electrons 45 ± 20 keV demonstrate the potential of X-ray methods in the characterization of the shock ignition environmental conditions.
Cationic bovine serum albumin (CBA) conjugated poly lactic-co-glycolic acid (PLGA) nanoparticles for extended delivery of methotrexate into brain tumors

Current strategies for the treatment of brain tumors have been hindered primarily by the presence of the highly lipophilic, insurmountable blood–brain barrier (BBB). The purpose of the current research is to investigate the efficiency of the engineered biocompatible polymeric nanoparticles (NPs) as drug delivery vehicles to bypass the BBB and enhance the biopharmaceutical attributes of anti-metabolite methotrexate (MTX) encapsulated NPs. The NPs were prepared by the solvent diffusion method, using cationic bovine serum albumin (CBA), and were characterized for physicochemical parameters, such as particle size, polydispersity index, and zeta-potential, while the surface modification was confirmed by FTIR, and NMR spectroscopy. The developed NPs exhibited the zestful relocation of FITC tagged NPs across the BBB in albino rats. Further, hemolytic studies confirmed them to be non-toxic and biocompatible, as compared to free MTX. The in vitro cytotoxicity assay of our engineered NPs on HNGC1 tumor cells proved the superior uptake in tumor cells, and elicited a potent cytotoxic effect, compared to plain NPs and the free MTX solution. The outcomes of the study evidently indicate the prospect of CBA conjugated poly (D,L-lactide-co-glycolide) (PLGA) NPs loaded with MTX in a brain cancer bomber, with the amplified capability to circumvent the BBB.
Abstract Submitted for the DPP09 Meeting of The American Physical Society Hybrid Simulation of Foreshock Waves and Ion Spectra and Their Linkage to Cusp Energetic Ions

Submitted for the DPP09 Meeting of The American Physical Society Hybrid Simulation of Foreshock Waves and Ion Spectra and Their Linkage to Cusp Energetic Ions XUEYI WANG, YU LIN, Auburn University, SHEN-WU CHANG, Center for Space Plasma and Aeronomic Research, University of Alabama in Huntsville — A three-dimensional global hybrid simulation is carried out to investigate energetic ions and electromagnetic waves in the quasi-parallel (Q-||) bow shock and cusp for a typical IMF configuration during the cusp energetic particle events. The bow shock, magnetosheath, and dayside magnetosphere form by interaction between the solar wind and geomagnetic dipole field. Ions of solar wind characteristics injected into the system evolve along with electromagnetic waves in a self-consistent manner. Several important features are yielded from the simulation. Solar wind ions are accelerated by the waves and turbulence at the bow shock and foreshock as indicated by the ion distribution. The shock-accelerated ions possess an exponential energy spectrum with their differential flux scaled by the field-aligned distance to the bow shock, consistent with satellite observations. Second, the compressive and transversal waves in the foreshock are strongly correlated with the diffuse ion dynamics. Third, energetic ions in the magnetosheath and cusp downstream from the Q-|| shock also exhibit a spectrum similar to those at the shock. By tracing trajectories of cusp energetic ions in the simulation, the origin of these ions is revealed. Their source is predominantly associated with the Fermi acceleration at the Q-|| shock and foreshock. Xueyi Wang Auburn University Date submitted: 13 Jul 2009 Electronic form version 1.4