Miracle-dz/UniFAR-FTUs huggingface dataset:
Colour-Coded Batteries – Electro-Photonic Materials Circuitry for Enhanced Electrochemical Energy Storage and Optically Encoded Diagnostics

For consumer electronic devices, long-life, stable, and reasonably fast charging Li-ion batteries with good stable capacities, are a necessity. For exciting and important advances in the materials that drive innovations in electrochemical energy storage (EES), modular thin film solar cells, and wearable, flexible technology of the future, real-time analysis and indication of battery performance and health is crucial. Here, developments in colour-coded assessment of battery material performance and diagnostics are described, and a vision for using electro-photonic material architectures and all-optical probes to assess, characterise and monitor the processes in new materials non-destructively in real time, are outlined. By structuring any cathode or anode material in the form of a photonic crystal, or as an 3D macroporous inverse opal, colour-coded ‘chameleon’ battery strip electrodes may provide an amenable way to distinguish the type of process, the voltage, material and chemical phase changes, remaining capacity, cycle health and state of charge or discharge, or existing of new materials in Li-ion or emerging alternative battery types, simply by looking at its colour
Habitat complexity alters lethal and non-lethal olfactory interactions between predators and prey

Habitat complexity often modifies rates of prey capture by visual predators, but little is known about how structural features affect non-visual olfactory consumers. Laboratory studies indi- cate that turbulent water flow over complex bedforms mixes chemical information in ways that con- fuse some olfactory foragers but improve the odor-tracking abilities of burrowing gastropods (whelks Busycon spp.). We augmented bottom roughness in a soft-sediment estuary to test the hypothesis that turbulent mixing of chemical attractants in the field increases whelk predation on hard clams Merce- naria mercenaria. Thin flat layers of shell fragments around the perimeter of experimental clam plots increased turbulent mixing of prey odors relative to those emanating from control plots. Assessment of prey mortality after 4 wk of exposure revealed that whelk predation on clams surrounded by shells was significantly higher than on clams surrounded by natural sediment. A second set of experiments showed that open prey plots containing a centrally caged (non-lethal) whelk experienced lower mor- tality due to avoidance responses of prey, but surrounding those plots with shells counteracted the non-lethal predator effect and led to significantly greater consumption by naturally foraging whelks. Shell treatments did not increase prey feeding or reduce predator interference. Results suggest that whelks hunt more successfully when bottom roughness increases turbulent mixing of prey chemicals or disrupts prey abilities to detect and respond to predator odors. When integrated over time, habitat- related differences in chemical transfer and olfactory behavior could have important implications for populations of both predators and prey.
Nesnelerin İnterneti ve Güvenli Bir Sağlık Bilgi Modeli Önerisi

Nesnelerin Interneti (Internet of Things - IoT), akilli nesneler ve sensor aglarindan olusan, “tum” nesneleri birbirine baglamayi amaclayan bir ekosistemdir. Saglik bilgi sistemleri, IoT’nin kullanilabilecegi ve boylece daha etkin cozumler sunabilecegi onemli bir uygulama alanidir. Bu calismada saglik alani icin son yillarda uygulama alani hizla genislemekte olan IoT teknolojilerinin kullanimi incelenmektedir. Bu kapsamda, saglik alaninda medikal cihazlarin birer IoT nesnesi olarak kabul edilmis, ve saglik bilgisinin sistemler arasinda degisiminin Anlamsal Web teknolojileri ile desteklenerek guvenli bir sekilde gerceklestirilmesi uzerine bir sistem modeli onerilmektedir. Bu modelde, verinin tanimi icin alan ontolojilerinin kullanilmasi planlanmaktadir. IoT cihazlarindan baslamak uzere verinin aktarildigi her noktada hasta mahremiyetinin saglanmasi icin Anlamsal Web teknolojileri kullanilarak guvenlik politikalarinin tanimlanmasi hedeflenmektedir.
The Oder Flood in July 1997: Transport routes of precipitable water diagnosed with an operational forecast model

A regional simulation of the severe precipitation episode which gave rise to the floods in the eastern part of Central Europe during July 1997 was performed using the meso‐β‐scale weather prediction model DM of Deutscher Wetterdienst. It is shown that the model reproduces the mesoscale precipitation distribution reasonably well as verified against available rain gauge observations. It is therefore used to investigate the transport routes of the bulk of moisture which led to the wide spread heavy precipitation. Inspection of the atmospheric water budget highlights the importance of the cyclonic advection of moist Mediterranean air for the formation of strong precipitation in Central Europe. Autochthonous influences are comparably small.
Exploring the Antecedents of Customer Loyalty in the Malaysian Retail Sector

As the market is becoming more competitive, managers and marketers are becoming more aware of the importance of being a customer-oriented company to survive, and in this regard, customer loyalty is one of the major outcome of customer-oriented approach. Moreover, shifting the concept of marketing exchange from transactions to relationship emphasizes the importance of building customer loyalty. Therefore, nowadays, marketers are in the quest to obtain knowledge on how to build customer loyalty. However, most of the previous studies focused on business to customer (B2C) context. Due to several differences between B2C and business to business, there is a need to investigate the antecedents of customer loyalty separately from B2C. Therefore, this study focused on the Malaysian retail sector. The obtained results supported a positive influence of each of four adopted constructs, which represented by service quality, corporate image, customer trust, and customer switching cost, on customer loyalty. In light of the findings, several managerial implications were highlighted
DEVELOPMENT OF A VISUAL OBJECT TRACKING SYSTEM USING COMPRESSIVE SENSIG FRAMEWORK FOR MODELLING THE APPEARANCE DESARROLLO DE UN SISTEMA DE SEGUIMIENTO DE OBJETOS USANDO LA TEORÍA DE “COMPRESSIVE SENSING” PARA MODELAR LA APARIENCIA

In the following work, we address the commonly known problem of visual object tracking, which tries to find the trajectory of an object in a video sequence. This task is carried out by developing a tracking-by-detection method that builds up an effective appearance model in the compressed domain via compressive sensing theory. The only information about the sequence that our approach needs to know in advance is the location of the target object in the first frame. Visual tracking is a classical field of computer vision that has been addressed for many years. However, it is still a very challenging task as many variables such as illumination changes, object occlusion, and the complexity of the background, have to be accounted in order to build a robust tracking algorithm. To deal with these challenges, we propose a tracking-by-detection algorithm that trains an SVM classifier in an online manner to separate the object from the background. We generate the appearance model with a robust high dimensional feature descriptor that describes the objects and the surrounding background of the scene. This step is followed by a dimensionality reduction step that enables to train and use the classifier with a much lower dimension of the data. The dimensionality reduction step is based on the compressive sensing theory that states that a sparse signal can be well-represented and recovered from a small sets of measurements. The compressive sensing problem is also addressed and described in this work, and different measurement and recovery techniques are tested to evaluate the resulting reduced vectors. The purpose is to verify that they are able to keep the essence and information of the high dimensional vectors. We also perform a successful update of the object appearance model by using the current tracker state to extract positive and negative samples, which are used to re-train the classifier. This way our tracker is able to adapt to the appearance variation of the object. The proposed tracking algorithm is evaluated with challenging video sequences, and also compared with other state-of-the-art trackers, proving the success of the performance of our algorithm.
Band structure engineering of two-dimensional magnonic vortex crystals

Magnonic vortex crystals are studied via scanning transmission x-ray microscopy and ferromagnetic-resonance spectroscopy. We investigate a two-dimensional vortex crystal by imprinting waves with tunable wave vectors. The dispersion relation ω(k) is determined via ferromagnetic-resonance spectroscopy with a tunable frequency and wave vector for two vortex core polarization patterns that are adjusted by self-organized state formation prior to the measurement. We demonstrate that the band structure of the crystal is reprogrammed by tuning the vortex polarizations.
The Political Dimension of Vulnerability: Implications for the Green Climate Fund

As the availability of adaptation finance for developing countries increases, so does the need for a transparent way of prioritising countries for the allocation of money. It is intuitive that some countries are more vulnerable to climate change than others, and that countries that are particularly vulnerable should be given priority for adaptation finance. However, research has shown that science cannot be relied upon for a single objective ranking of vulnerability. This article analyses how the Global Climate Change Alliance (GCCA), the Pilot Program for Climate Resilience (PPCR) and the Adaptation Fund currently make decisions on adaptation finance allocations. It finds that each of the funds uses vulnerability to prioritise among countries, but the criteria applied vary and other criteria also play a role. Thus, vulnerability is politically, as well as scientifically, ambiguous. The Cancun Agreements have not resolved this, leaving a challenge for the Green Climate Fund.
Evaluation of anti-inflammatory activity of the bark of Eysenhardtia polystachya in experimental animal models

The bark of Eysenhardtia polystachya, has been used in Mexican folk medicine for treatment of antiinflammatory diseases. This study aimed to investigate the anti-inflammatory activity, on various animal models using carrageenan-induced oedema, cotton pellets-induced granuloma, induction of acute inflammation by histamine, croton oil induced ear oedema, activity of myeloperoxidase, adjuvantinduced arthritis, quantification of tumor necrosis factors alpha (TNFα), interleukin-1 beta (IL-1β), prostaglandin E2 (PGE2) and leukotriene B4 (LTB4) in arthritic rat. Methanol extract (PAM) was also performed by assessing the activities of lipoxygenase and xanthine-oxidase. Our data indicate that PAM exhibited significant anti-inflammatory activity in all the trials of paw and ear oedema induced exhibiting also anti-arthritic activity. PAM could also markedly inhibit production of proinflammatory cytokines, especially TNFα, IL-1β, PGE2 and LTB4. These effects resulted in an attenuation of the inflammatory cytokines and ultimately suppression of the oedema. The extract also inhibited lipoxygenase and xanthine-oxidase. It was seen that PAM is effective on chronic inflammation and acute inflammation.
A Dynamic Stiffness Element for Free Vibration Analysis of Delaminated Layered Beams

A dynamic stiffness element for flexural vibration analysis of delaminated multilayer beams is developed and subsequently used to investigate the natural frequencies and modes of two-layer beam configurations. Using the Euler-Bernoulli bending beam theory, the governing differential equations are exploited and representative, frequency-dependent, field variables are chosen based on the closed form solution to these equations. The boundary conditions are then imposed to formulate the dynamic stiffness matrix (DSM), which relates harmonically varying loads to harmonically varying displacements at the beam ends. The bending vibration of an illustrative example problem, characterized by delamination zone of variable length, is investigated. Two computer codes, based on the conventional Finite Element Method (FEM) and the analytical solutions reported in the literature, are also developed and used for comparison. The intact and defective beam natural frequencies and modes obtained from the proposed DSM method are presented along with the FEM and analytical results and those available in the literature.
Disambiguating company names in microblog text using clustering for online reputation management Desambiguando nombres de compañías en microblogs usando agrupamiento para el manejo de su reputación online

Abstract Twitter is used by millions of users to publish brief messages (tweets) with the purpose of sharing experiences and/or opinions about a product or service. There is a clear need for systems that can mine these messages in order to derive information about the collective thinking of twitterers (e.g. for opinion or sentiment analysis). Tweet analysis is a very important task because comments, opinions, suggestions, complaints etc. can be used for marketing strategies or for determining information on a company’s reputation. For this purpose, it is necessary to automatically establish whether a tweet refers to a company or not, when the company name is ambiguous. This task is not a straightforward keyword search process as there may be multiple contexts in which a name can be used. The aim of this study is to present and compare four different approaches which improve the representation of short texts for better performance of the clustering task that determine whether a given tweet refers to a particular company
Competitive Advantage of an Unrelated Diversified Company

A company is diversified when it is in two or more lines of business. Companies pursue unrelated diversification strategy when they enter into a new activity that has no obvious similarities with any of the company’s existing activities. This is often risky for a company with strengths in one industry or product to tackle a completely unrelated industry, but the potential benefits are also significant for businesses that succeed with this growth strategy. This paper reviews the competitive advantage of unrelated diversification and concludes that the critical factor in determining success is the level of management expertise in formulating and implementing the unrelated diversification strategy. Key words: Diversification; Unrelated diversification; Competitive advantage
Role of allogeneic hematopoietic stem cell transplantation in the treatment of patients with lymphoma

Lymphomas are a group of neoplasms with heterogenous biological characteristics, clinical manifestations and sensitivity to treatment. In significant proportion of cases the disease is recurrent and/or resistant to applied therapy, including high-dose therapy supported by autologous hematopoietic stem cell transplantation. Allogeneic hematopoietic stem cell transplantation (allo-HSCT) can potentially provide cure, through the occurrence of graft versus lymphoma effect. It may be possible even in patients where above mentioned therapeutic methods were ineffective. However, high transplant-related mortality after allo-HSCT in these patients,
The Nitrogen Cycle in Soil – Climate Impact and Methodological Challenges in Natural Ecosystems

Nitrogen (N) is a fundamental element for life, and limiting in many terrestrial ecosystems. In non-N-fertilized ecosystems, the N inputs can be low, and the nutrient availability for plants is determined by the internal cycling of N. The N availability might alter with different factors, such as climate change, forest management practices, and tree species. Soil N cycling is investigated using stable isotopes, where the activity in the soil can be monitored over time. The overall aim of this thesis is to increase the understanding of the N cycle in natural and semi-natural ecosystems and the environmental factors important for nutrient cycling. The results show that all sites investigated in this thesis had higher NH4 turnover than NO3 turnover. The mineralization rates were highest in the site with the lowest C:N ratio, and the lowest mineralization rates and the highest C:N ratio in the spruce forests, which demonstrate the importance of organic matter quality on gross N transformation rates. The N cycle responses to combined climate treatments were generally lower than responses to single climate treatments. For some processes, we observed opposing responses for eCO2 as single and main treatment compared to the plots receiving the full treatment. This point to the importance of conducting multifactor climate change experiments, as many feedback controls are yet unknown. Gross nitrification was lowered with fertilization in a northern boreal forest, which is an interesting result in the light of the very low nitrous oxide (N2O) emissions from the investigated site, despite heavy annual fertilization of 50–70 kg ha. Moreover, the results from an experiment with soil of common origin and land history showed generally higher gross mineralization, immobilization and nitrification rates a beech stand compared to a spruce stand. The beech stand had also higher initial concentration of nitrate (NO3) which indicates a more NO3 based N cycling. Finally, numerical modeling together with N tracing is an improvement for simultaneously determining free amino acid (FAA) mineralization, peptide depolymerization and gross N mineralization rates, compared to analytical solutions. This thesis confirms that N cycling in natural ecosystems is governed by the properties of the soil, vegetation and climate, but also that the experimental set-up strongly affects the outcome of the experiment. In turn, this affects the potential of doing reliable experiments, especially in ecosystems where the external inputs of N are very low. The thesis also highlights some methodological challenges that lie in the future of N cycling research.
SOP Bewegungsstörungen – Parkinson-Syndrome

Groiss S m m un g de s V er la ge s. Parkinson-Syndrome (PS) gehören zu den häufigsten Bewegungsstörungen und sind klinisch definiert durch das Vorliegen einer Akinesie sowie eines der Kardinalsymptome Rigor, Ruhetremor und posturale Instabilität. Dabei handelt es sich beim Parkinson-Syndrom um einen syndromatischen Oberbegriff, der weiter nach seinen verschiedenen Ätiologien klassifiziert werden kann.
The emergence of value chain thinking

The concept value chain has been promoted by Porter for more than three decades. A value chain represents a chain of activities that an organisation performs to deliver a valuable product for the market. Porter's value chain assumes that an organisation is a system composed of inputs, transformation processes, and outputs. Each activity in the system involves the acquisition and consumption of resources. How the organisation carries out value chain activities determines costs and profits. One enhances the competitiveness of a company by improving its value chain structure. However, little attention has been given to developing value chain thinking. This paper examines the emergence of value chain thinking and proposes new value chain thinking that involves a chain of activities linked to one another in order to sustain value. A conceptual model is presented which consists of four steps: value discovery, value design, value delivery, and value capture. A methodology is also proposed in which to operationalise the value chain thinking.
An application of orthoisomorphisms to non-commutative L p -isometries

We prove that if there exists an into linear isometry between non-commutative //-spaces then there exists an into Jordan * -isomorphism between underlying von Neumann algebras, as an application of Araki-Bunce-Wright's theorem concerning the characterization of orthogonality preserving positive maps between preduals. Moreover, we determine the structure of a linear non-commutative LMsometry when it is surjective and *-preserving.
EFFECTS OF VIBRATION AND ISOMETRIC TRAINING ON THE EXPLOSIVE STRENGTH OF THE LOWER LIMBS

The aim of this research was to determine the effects of two 10-week training programs on the change in explosive strength parameters, as well as to determine whether possible effects were caused by the vibration stimulation of the muscles or isometric training. The research sample comprised 60 male participants, aged 21 ± 6 months, randomly divided into three subsamples: the first experimental group (n=15) comprised participants included in a specially designed low frequency vibration training with the Flexi-bar; the second experimental group (n=15) comprised participants included in specially designed isometric training; and the third, control group, comprised participants not included in any specially designed training program (n=30). All of the participants were tested at the beginning and the end of the experimental program by an explosive strength estimation test on a tensiometric platform. The statistical methods applied in this research to investigate the effects of the training were the univariate analysis of covariance (ANCOVA), and the multivariate analysis of covariance (MANCOVA). By analyzing the obtained results, it was determined that neither vibration training with the Flexi-bar nor isometric training exhibited a statistically significant influence on the change in the explosive strength values of the lower limbs, but that there were changes in the mean values of the observed parameters. Measurements of the explosive strength parameters of the upper limbs and the parameters of the explosive strength of the lower limbs were administered in all three groups of participants. The experimental program did not yield the expected results, but points to further research which should investigate the effects of the vibration stimulation of muscles by the Flexi- bar, applying some different exercises, as well as the investigation of the effects on other types of strength.
PROPOSTA DE CRIAÇÃO DE UMA ESTAÇÃO ECOLÓGICA NO CAMPUS DE UMA UNIVERSIDADE FEDERAL NO ESTADO DO CEARÁ

On July 18, 2000, Law N o . 9.985, which established the National System of Nature Conservation Units (SNUC), was sanctioned. This Law determines in its text the need for the implementation and regularization of Conservation Units (UC) throughout the national territory, establishing its environmental zoning and standards necessary to manage the use of its area and the management of its natural resources. Conservation Units represent an important strategy for the preservation of nature, as they are scraps of fauna and flora, as well as assist in the maintenance of environmental factors essential to ecosystems, such as water sources, watercourses and soil microbiota, in addition to such preservation be essential in maintaining the ecological balance as a whole. The studied area is a biome characterized as Mata Seca, an extremely rare vegetation in the territory of Ceará, this biome refers to an ecosystem that deserves attention due to its environmental fragility, where the main threats observed are the irregular exploitation of wood, charcoal production, as well as, real estate pressure, by residence and allotments near the university, in addition to such a safeguard to avoid burnings, so contumeiras in the region in dry periods, thus favoring the sustainability of the place. The aim of this study is to propose the creation of the Comprehensive Protection Conservation Unit Auroras Ecological Station (ESECA) in the area of the Auroras campus, located at the University of the International Integration of Afro-Brazilian Lusophony (UNILAB) Campus Auroras, located between cities of Redenção and Aracape, in the State of Ceará.