Miracle-dz/UniFAR-FTUs huggingface dataset:
Building Infrastructure to Promote Inclusive Growth

Globally infrastructure has been found to play a significant role in promoting inclusiveness and growth through various channels. These include reducing the cost and improving the quality of intermediate inputs, enlarging the market size and allowing greater competition, and improving access to public services and economic opportunities. In this paper, we empirically investigate the role played by infrastructure development in improving living standards across major states in India. We explore the role of infrastructure development in four sectors, viz. electricity, roads, education and health, in enhancing income growth and facilitating poverty reduction. Instead of focusing on the commonly used infrastructure expenditure as a measure of infrastructure development, we construct infrastructure indexes for each sector using an array of physical indicators for that sector. This helps us overcome the inaccuracies that can arise due to inefficiency, leakage, corruption and weak government procurement policies. We find that infrastructure development across roads, electricity and education sectors, significantly bolster economic growth. On the other hand, infrastructure development across electricity, health and education sectors substantially assist in poverty reduction, even after accounting for the impact of major social welfare schemes. We conclude by highlighting some broad measures to enhance infrastructure investment.
Laguerre Expansion Series Based Reduced Order Interval Systems

Model order reduction techniques have attracted researchers for the analysis of higher-order systems. The brief presents the order reduction of the interval system in state-space form using the Laguerre polynomial method with singular value decomposition. Laguerre - SVD model reduction technique is approved for the algorithms reduced computational complexity and stability perseverance. The proposed algorithm applies Laguerre approximation to interval system to compute an interval Krylov matrix using the Interval laboratory MATLAB toolbox. Then singular value decomposition is performed on the concatenated matrix with the upper limit and lower limit of the obtained interval Krylov matrix. The resultant column orthogonal matrix yields the reduced interval system through congruence transformation. The technique preserves the original system properties and is proved to be stable. Pertinent numerical results validate the proposed technique with examples from literature.
A note on the effect of castration on the growth performance and concentrations of some blood metabolites and hormones in British Friesian male cattle

Eight British Friesian bulls and eight steers were compared in terms of performance and levels of metabolites and hormones in circulating blood. Under conditions of generous nutrition the bulls grew significantly more quickly, exhibited a superior feed conversion efficiency and had lower levels of serum albumin and plasma urea and higher levels of serum growth hormone and prolactin than the steers. Differences in levels of plasma glucose and free fatty acids and serum total protein and insulin were not significant. It is suggested that the superior growth performance of the bulls is due, at least partially, to hormonally mediated differences in nitrogen metabolism that result in a greater deposition of lean tissue and hence increased weight gain.
A MÖSSBAUER SPECTROSCOPIC STUDY OF THE EFFECT OF pH ON THE REACTION BETWEEN IRON AND HUMIC ACID IN AQUEOUS MEDIA

Summary Mossbauer specttoscopy has been used to provide information on the effect of pH on the nature of the complexes formed between iron and humic acid. At an initial suspension pH greater than 3 the iron occurs in the ferric form, although it is difficult to assess to what extent it is in combination with organic matter. On lowering the pH, iron is reduced with a considerable proportion of the ferrous iron entering solution, partly as a solvated ion and partly as complex forms. Raising the pH leads to re-oxidation and the precipitation of a considerable proportion of the iron in an inorganic form with Mossbauer parameters similar to those of β-FeOOH. No evidence was obtained for Fe(III) in solution or for Fe(II) in any form at pH values greater than 4.
Nondispersive hole transport in amorphous films of methoxy-spirofluorene-arylamine organic compound

Hole transport in the organic small molecule material 2,2′,7,7′-tetrakis-(N,N-di-4- methoxyphenylamino)-9,9′-spirobifluorene (methoxy-spiro) is studied by three different experimental techniques: Time of flight (TOF), dark-injection space-charge-limited current transients and steady-state current–voltage characteristics, and over a wide range of electric fields, sample thicknesses and temperatures. It is shown that room-temperature mobilities measured by all three methods agree well over a range of studied thicknesses from 4 μm down to 135 nm. Temperature-dependent TOF measurements are analyzed within the Gaussian disorder model and the parameters of charge transport in this material are extracted. Comparison with the data reported for other spirolinked compounds indicate a significant increase of the mobility prefactor in the methoxy-spiro, which is attributed to the increased spread of the highest occupied molecular orbital wave function in this material.
The brazilian logistics service provider on the internet

Abstract: The attention of Logistics Service Providers (LSPs) to market movements and trends is fundamental to winning accounts, as well as avoiding problems and keeping customer companies. In this context, the primary purpose of this article was to identify, characterize and analyse the types of logistics outsourcing in Brazil, to evaluate the LSPs concerning the capacity of integration in the supply chains (SC), through the positioning and offer of services that they adopt on their websites. Therefore, the theoretical discussion pointed out the importance of websites for organizations, considering the company's website as an essential communication channel. The study researched 154 websites of these providers in Brazil aiming to understand if the attributes and competencies disclosed are aligned with the theory. The results show that the majority (59%) of LSPs in Brazil are unable to articulate and present their skills in the same way that they are discussed in theory.
Molecular identification and characterization of root diseases in the western USA

Root diseases cause extensive damage to forests in the western USA (Blodgett et al. 2015). However, despite their abundance and economic impact (Lockman et al. 2016), we know very little about the identity and distribution of some pathogens responsible for these diseases. Our project addresses this knowledge gap by characterizing root pathogens in forests of the western USA (Kim et al. 2006) and has the potential to result in updated distribution maps, bioclimatic models, as well as first reports.
Lipid Encapsulation in Glassy Matrices of Sugar-Gelatin Systems in Freeze-Drying

Entrapment of lipid in glass forming matrices in freeze-drying was investigated. Dispersion of lipid in aqueous solutions of three different sugars was formed by addition of protein and using homogenisation process. Two different levels of proteins in the ratios of 9:1 and 8:2 (sugar:protein) were used. Three different homogenisation processes were used to vary the emulsion droplet size of dispersed lipid. A novel ultra high-pressure homogenisation treatment with pressure levels up to 255 MPa (5MPa in second stage) was used to form emulsion before freeze-drying. The non-fat solids formed a glass in freezing which led to entrapment of dispersed oil. Ultra high-pressure homogenisation at pressure levels higher than 155 MPa caused alterations in emulsifying properties of sugar/gelatin systems. Changes in emulsifying properties of encapsulation matrices affected entrapment of dispersed lipid components. Droplet size of the dispersed phase was a significant factor for encapsulation efficiency. Emulsions with smaller droplet diameter gave higher entrapped amounts of lipid than emulsions with larger droplets. The glass forming properties and physical state of freeze-dried matrices were also determined. Knowledge of glass forming properties of an encapsulation matrix is needed for entrapment and predicting the stability and release properties of entrapped components.
THEORETICAL DESIGN OF LIGHT-EMITTING POLYMERS — SUBSTITUTION EFFECTS OF EXCITED STATE ORDERING OF POLYDIACETYLENE AND POLYACETYLENE

The excited states structure, essential in determining the light-emitting properties, in a correlated electron system behaves differently from the one-electron system. Previous investigations show that upon proper chemical substitution, the non-emissive polyacetylene (PA) can be designed to be strongly light-emitting materials. On the basis of the correlated quantum chemical calculations within the INDO/EOM-CCSD approach, we systematically studied both the pristine and substituted polydiacetylene (PDA) about the low-lying excited states orderings. PDA possesses high mobility, but it is non-emissive. We predict that it is impossible to cause PDA to be light-emitting. From these numerical results, we propose a simple and practical rule to design conjugated light-emitting polymers, which require only a molecular orbital calculation instead of sophisticated correlated calculations. This rule is derived from physical pictures of correlated electron model, and is found to be in agreement with the existing experiments for various substituted PA and poly(p-phenylenebutadiynylene) (PPPB).
DLA-MatchNet for Few-Shot Remote Sensing Image Scene Classification

Few-shot scene classification aims to recognize unseen scene concepts from few labeled samples. However, most existing works are generally inclined to learn metalearners or transfer knowledge while ignoring the importance to learn discriminative representations and a proper metric for remote sensing images. To address these challenges, in this article, we propose an end-to-end network for boosting a few-shot remote sensing image scene classification, called discriminative learning of adaptive match network (DLA-MatchNet). Specifically, we first adopt the attention technique to delve into the interchannel and interspatial relationships to automatically discover discriminative regions. Then, the channel attention and spatial attention modules can be incorporated with the feature network by using different feature fusion schemes, achieving “discriminative learning. ” Afterward, considering the issues of the large intraclass variances and interclass similarity of remote sensing images, instead of simply computing the distances between the support samples and query samples, we concatenate the support and query discriminative features in depth and utilize a matcher to “adaptively” select the semantically relevant sample pairs to assign similarity scores. Our method leverages an episode-based strategy to train the model. Once trained, our model can predict the category of query image without further fine-tuning. Experimental results on three public remote sensing image data sets demonstrate the effectiveness of our model in the few-shot scene classification task.
Crystal structures of amino acids: from bond lengths in glycine to metal complexes and high-pressure polymorphs

After the discovery of X-ray diffraction by crystals, amino acids were among the first organic compounds to have their solid-state structures investigated. The Cambridge Structural Database now contains more than 3500 entries for α-amino acids alone. After a short introduction dealing with the early history of X-ray structure determination, this review provides a classification of amino acid structures, describes essential structural elements, especially hydrogen bonding preferences and coordination to metal ions, and considers recent investigations on phase transitions as the result of extreme temperatures or pressure.
Deep Learning for Distinguishing Computer Generated Images and Natural Images: A Survey

: With the development of computer graphics, realistic computer graphics (CG) have become more and more common in our field of vision. This rendered image is invisible to the naked eye. How to effectively identify CG and natural images (NI) has been become a new issue in the field of digital forensics. In recent years, a series of deep learning network frameworks have shown great advantages in the field of images, which provides a good choice for us to solve this problem. This paper aims to track the latest developments and applications of deep learning in the field of CG and NI forensics in a timely manner. Firstly, it introduces the background of deep learning and the knowledge of convolutional neural networks. The purpose is to understand the basic model structure of deep learning applications in the image field, and then outlines the mainstream framework; secondly, it briefly introduces the application of deep learning in CG and NI forensics, and finally points out the problems of deep learning in this field and the prospects for the future.
Electronic structure, magnetic properties, ESR, and optical spectra for 2-iron ferredoxin models by LCAO-X.alpha. valence bond theory

Calculs sur Fe 2 S 2 (SH) 4 2−,3− , compose modele des sites actifs de ferredoxine: constantes de couplage magnetique de Heisenberg pour les formes oxydee et reduite, spectres d'excitation optique (bande de transfert de charge), tenseurs g et A de RPE, distributions de charge electronique. Discussion du mecanisme de reduction
Reimagining a just transition

Transitions have a bad name. Rob Hopkins, who arguably introduced the word ‘transition’ into the environmental lexicon, is said to have chosen the most neutral expression possible, so that reluctant consumers and businesses would not be frightened by the hard choices and sacrifices entailed by living in harmony with the biosphere (as opposed to blindly destroying it). Transitions are supposed to be painless. What is worse, the French historian Jean-Baptiste Fressoz has convinc- ingly argued that ‘energy transition’ is an expression coined by indus- trial lobbies in the mid-1970s to prevent the idea of ‘energy crisis’ from taking hold in western minds. Transitions are supposed to never really happen (and remain, forever, ideas for tomorrow). And yet, the concept of transition is actually a very powerful tool to think about what we should be doing in the face of worsening ecolog- ical crisis—and to act upon it. Imagining a transition means having to answer three fundamental questions: why is the world we live in not desirable anymore, what world do we want and how to get from here to there?
A IMPORTÂNCIA DAS VARIÁVEIS DE MARKETING COMO ESTRATÉGIA DE GESTÃO NA ADMINISTRAÇÃO DAS MICRO E PEQUENAS EMPRESAS

Edgar Moran, filosofo frances, descreveu a “Era das Incertezas” como um periodo em que o pensamento moderno era diretamente influenciado por eventos como as guerras, economia e cultura. Tal pensamento, apesar de estar relacionado ha duzentos anos de historia, se mostra muito atual. As guerras sao veladas, porem, os mercados sao cada vez mais influenciados pelas variaveis do macroambiente de marketing, no qual as empresas estao inseridas. O termo “macroambiente” e uma referencia para descrever, habitar mercadologico em que sete variaveis afetam diretamente a area de atuacao em que as empresas atuam. Sao consideradas como variaveis incontrolaveis e sua interpretacao pode favorecer ao gestor condicoes positivas ou ameacas. A partir da visao mercadologica de Philip Kotler, os ambientes foram classificados em politico-legal, economico, sociocultural, demografico, tecnologico, concorrencial e natural. Para a realizacao deste trabalho, utilizou-se pesquisa basica com abordagem qualitativa, tendo como fontes bibliograficas autores como: Michel Hitt (2011), Phillip Kotler (2008), Edgar Moran (1990), Gilbert Churchill Jr (2012) e Luciano Thome Castro (2005) para descrever como as variaveis incontrolaveis afetam as empresas e o comportamento do brasileiro, possibilitando uma analise mercadologica quanto as consequencias da pandemia do Coronavirus.
A New Radically Improved Model of the Circulation With Important Clinical Implications

Research Article Open Access A New Radically Improved Model of the Circulation with Important Clinical Implications Wolff CB1*, Green DW2, Paton JFR3 and Collier DJ1 1Centre for Clinical Pharmacology, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6B, UK 2Department of Anesthetics, King's College Hospital NHS Foundation Trust and, King's College School of Medicine and Dentistry, London SE5 9RS, UK 3Department of Physiology, Translational Cardio-Respiratory Laboratory, School of Medical Sciences, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
Trace elements content in serum, normal skin, and scar tissues of keloid and normal scar patients

Wound healing is a normal physiological process that occurs after injury. Scars are usually formed, and the nature of the scar depends on the balance between the formed and degraded collagen during healing. A balanced production and degradation of collagen in wound healing results in the formation of a normal scar whereas an imbalance produces what is known as keloid scar. The factors that cause an imbalance are not well identified, although many factors, such as immunity, genetic, ischaemia, hormonal, growth, and nutritional factors, are blamed. This study was undertaken to investigate trace elements level in the serum, normal skin, and scar tissue of patients with normal and keloid scars. Copper (Cu), zinc (Zn), selenium (Se), and manganese (Mn) levels were estimated in 100 (50 with normal scars and the others with keloids) patients. The serum level of Zn was found to be higher in keloid scar patients, and this increase was highly significant (P < 0.0001). The level of Cu was significantly higher (P < 0.0001) in the normal skin and scar tissues of keloid patients. Trace element levels in scar tissues were observed to be lower in comparison to normal skin trace element content in both groups. The significant changes of Zn in serum and Cu in skin and scar tissues of keloid patients as noted in this study may suggest their role in the regulation of behavior of scar formation in wound healing. J. Trace Elem. Exp. Med. 15:57–66, 2002. © 2002 Wiley-Liss, Inc.
Determination of Permissible Load in Selected Parts of the Human Musculoskeletal System While Feeding Cows with Maize Silage

Farmers belong to the group of high risk in terms of developing work-related musculoskeletal disorders. A series of tasks, which are often performed in an uncomfortable position, loads exceeding farmers’ physical abilities, as well as high repetition of work movements, all contribute significantly to the development of irreversible changes in the musculoskeletal system. Taking into account the above-mentioned circumstances, this study aimed at workload assessment expressed in maximal voluntary contraction (%MVC) while delivering dairy-cattle feed. In the initial phase of this study, a questionnaire was carried out, based on which a load of individual segments of the musculoskeletal system during work was subjectively assessed. On this basis, the areas of the musculoskeletal system were selected in which a risk of the ailments’ occurrence was the highest. These studies were carried out directly on farms, where the surface electromyography (sEMG) method was used. On the basis of obtained results, the permissible human load was determined based on mass of the shovel which was used to load and unload maize silage. The obtained results can be used to ensure safe conditions while performing work with high muscle exertion.
Prediction and Forecasting of Persistent Kidney Problems Using Machine Learning Algorithms

Persistent Kidney Illness is an extremely hazardous health problem that has been spreading in addition to expanding due to diversification in lifestyle such as food routines, modifications in the environment, and so on. Aim and Objective: The field of health science generates substantial amounts of information from Electronic Wellness Records. According to the wellness data of India, 63538 cases have been registered on persistent kidney condition. The average age of male and female prone to renal problems occurs within the variety of Mid Forty and Seventy year age groups. Conclusion: This paper’s original idea is to make a comparative study on various classification techniques and their performance.
EFFICACY OF ENVIRONMENTALLY BENIGN AND DURABLE TIO2 NANOCOMPOSITE AS ANTIMICROBIAL COATING SOLUTION

Since last many years, we are trying to improve our hygiene solutions using various traditional antimicrobial chemicals to make our environment clean but articial, which created huge problems like damaging the ecosystem, generating antimicrobial resistant species etc. TiO2 is a well-known inhibitory for its bactericidal effect. TiO2 based nanocomposites subjected to light excitation are remarkably effective in eliciting microbial death. Antimicrobial efcacy of the nano TiO2 is expected due to the photocatalytic action which is improved by modifying nano-environment. The TiO2 nanocomposite coating has been applied on the glass plate. The antimicrobial action of the coating was investigated qualitatively and quantitatively against various unicellular life form. Good inhibition was observed with a nanocomposite coating on the quartz plate. The quantitative examination was estimated by survival ratio using CFU on nutrient-rich media. TiO2 nanocomposite is working as a catalyst, not utilized during its action, which means it will provide durable protection. From this study, TiO2 nanocomposite can be a better option over traditional solutions.
Modern Aspects of Stomach Cancer Prevention

Objective of the Review: to analyse available data on stomach cancer prevention. Key Points. Key risk factors for stomach cancer are male gender, age of >50 years old, Helicobacter pylori and smoking. A number of international consensus opinions regulate screening, diagnostics and treatment of precancer changes in stomach; it is assumed to reduce the incidence of this disease. H. pylori eradication is the key method of primary stomach cancer prevention. Modern studies demonstrate that the optimal method of H. pylori eradication is the therapy with bismuth medication, proton pump inhibitor, amoxycillin and clarithromycin for 10–14 days. Conclusion. The most efficient method of stomach cancer prevention is H. pylori eradication, smoking cessation, diet with plenty of vegetables and fruit. Secondary prevention is optimisation of diagnostics, follow-up and treatment of precancer stomach conditions.
CANnolo: An Anomaly Detection System Based on LSTM Autoencoders for Controller Area Network

Automotive security has gained significant traction in the last decade thanks to the development of new connectivity features that have brought the vehicle from an isolated environment to an externally facing domain. Researchers have shown that modern vehicles are vulnerable to multiple types of attacks leveraging remote, direct and indirect physical access, which allow attackers to gain control and affect safety-critical systems. Conversely, Intrusion Detection Systems (IDSs) have been proposed by both industry and academia to identify attacks and anomalous behaviours. In this article, we propose CANnolo, an IDS based on Long Short-Term Memory (LSTM)-autoencoders to identify anomalies in Controller Area Networks (CANs). During a training phase, CANnolo automatically analyzes the CAN streams and builds a model of the legitimate data sequences. Then, it detects anomalies by computing the difference between the reconstructed and the respective real sequences. We experimentally evaluated CANnolo on a set of simulated attacks applied over a real-world dataset. We show that our approach outperforms the state-of-the-art model by improving the detection rate and precision.