Miracle-dz/UniFAR-FTUs huggingface dataset:
Cambridge Working Papers in Economics Integrating Distributed Generation : Regulation and Trends in Three Leading Countries

We explore trends in the deployment and integration of distributed generation in Germany, Denmark and Sweden. In particular, we examine the regulation of renewable energy generation with a focus on grid access and connection mechanisms. The high rate of distributed generation penetration in these countries is the result of early support given to the expansion of renewable energy generation – mainly wind and solar within their respective national policies. Germany and Denmark are the countries with the most sophisticated support schemes, which have shown changes over time. In terms of connections, Germany is the country with the most favourable connection regime. It provides not only priority connection but also priority use of the grid to generation units that produce electricity from renewable energy sources. Sweden guarantees equal treatment among different technologies (i.e. a non-discrimination principle) and is thus the least favourable. High connection costs have been observed, especially in Germany and Denmark. The costs of network upgrades are usually socialised across customers. The use of smart solutions combined with novel business models might allow more efficient use of the current distribution electricity infrastructure. Hence, integration issues should be taken into consideration in order to avoid expansion of distributed generation in a way that unnecessarily raises total system costs, via high connection costs.
Building CAS-Based Framework of Enterprise Internal Knowledge Sharing

Knowledge sharing is of great significance for both academy and application in the research of knowledge management. On the basis of the knowledge that the essence of knowledge sharing is knowledge transferring, this paper regarded the enterprise internal knowledge sharing (EIKS) as a sort of the complex adaptive system (CAS), analyzed its complexity, and established a framework for the research of enterprise internal knowledge sharing on the basis of CAS theory, which is a completely new way for the research of knowledge sharing.
Kişilik ve iş edimi arasındaki ilişki: Kuşadası'nda faaliyet gösteren 5 yıldızlı otel işletmeleri örneği

ii ÖNSÖZ . iii İÇİNDEKİLER . iv EKLER LİSTESİ . vii TABLOLAR LİSTESİ . viii KISALTMALAR.ix GİRİŞ . 1 BİRİNCİ BÖLÜM KİŞİLİK, KİŞİLİK ÖZELLİKLERİ VE İŞ EDİMİ İLE İLGİLİ KURAMSAL TEMELLER 1.1. KİŞİLİK VE KİŞİLİK ÖZELLİKLERİ . 8 1.1.1. Kişiliğin Tanımlanması . 8 1.1. 2. Kişiliğin Temel Özellikleri. 10 1.1. 3. Kişiliğin Oluşmasında Etkili Olan Faktörler. 11 1.1. 3.1. Kalıtım ve Bedensel Yapı Faktörü . 11 1.1. 3.2. Sosyo-Kültürel Faktörler . 12 1.1. 3.3. Aile Faktörü . 13 1.1. 3.4. Sosyal Yapı ve Sosyal Sınıf Faktörleri . 13 1.1. 3.5. Coğrafi ve Fiziki Faktörler . 14
Information Collection and Spread by Networks of Patrolling Ants

To study how a social group, such as an ant colony, monitors events occurring throughout its territory, we present a model of a network of patrolling ants engaged in information collection and dissemination. In this network, individuals follow independent paths through a region and can exchange signals with each other upon encounter. The paths of the ants are described by correlated random walks. Through simulations and analytic approximations, including a new approach to the spatial logistic equation, we study the efficiency with which such a network discovers a constantly changing stream of "events" scattered throughout the region and the speed with which information spreads to all ants in the network. We demonstrate that efficiency of event discovery and the speed of information spread are enhanced by increased network size and straighter individual ant paths, and that these two effects interact. The results lead to predictions regarding the relations among species-specific movement patterns, colony size, and ant ecology.
Auditors and Corporate Governance: Evidence from the Public Sector

Corporate auditors review and evaluate financial statements. Audit quality depends on auditor expertise and independence. To enhance auditor independence the selection process and auditor rotation requirements have been debated intensively. The available empirical evidence is not conclusive and suffers from serious endogeneity problems. I propose learning from the public sector where auditors play a similar role and present empirical evidence on the impact of auditor expertise, term length and rotation requirements on government performance at the US state level. I find evidence indicating that greater auditor expertise and rotation requirements have a positive effect on state credit ratings.
Two New Surveillance Systems

In this paper, we will propose two surveillance systems. One is an elevator detection system, which can detect subjects' coming in and going out. The other is a human tracking system, which can track pedestrians on the street. The surveillance systems are implemented utilizing two steps: segmentation and tracking. In the segmentation step, a segmentation algorithm proposed by Horprasert et al. [8] is modified to segment persons in mages. Color and brightness information are used to determine a pixel belonging to background or foreground. In the tracking step, based on the segmented result, we can track the moving persons. The spatial information is adopted to solve the intersection condition when two persons meet during the tracking time.
Unusual Presentation of a Colonic Sarcoidosis

Sarcoidosis is a multisystemic disorder of unknown cause that affects almost every tissue in the body. Colon is an extremely rare location of this disease. Clinical presentation, endoscopic appearances, and radiologic findings are not specific and may mimic much other affection. We report the case of a 64-year-old woman with inactive pulmonary sarcoidosis who presented alternating constipation and diarrhea. Colonoscopy revealed a stenotic tumor in the ascending colon. Histology failed to determine the nature of the lesion. Radiologic findings are those of a long stenotic tumor of the ascending colon associated with a multiple satellite lymphadenopathy. Endoscopic and radiologic descriptions are highly suggestive of a malignancy. The patient underwent a laparotomy, and a right hemicolectomy was performed. Examination of the resected specimen showed follicular structure with central epitheloid and giant cells and surrounding fibroblasts. These findings made the diagnosis of colonic sarcoidosis. The nonspecificity of the endoscopic and radiological signs of gastrointestinal sarcoidosis and the extreme rarity of colonic location make the preoperative diagnosis unlikely. The diagnosis will be then made only on histological examination of surgical specimens. We describe, through this observation, the results of paraclinical investigations that can suggest diagnosis and perhaps avoid surgery.
Programming and analysing scenario-aware dataflow on a multi-processor platform

The FSM-SADF model of computation is especially suitable for analysing real-time applications with input-dependent behaviour such as different modes, variable execution times and scalable parallelism. Although FSM-SADF specifies which scenario transitions are possible, it does not specify how and when they are decided at runtime. Multiple actors of a scenario, e.g. video stream header parsing, may have to fire before it is known which scenario the application is in. We solve this causality dilemma with a concept for executing a sequence of scenarios, and demonstrate an implementation on multiple processors with rolling static-order scheduling. We furthermore present a platform-aware analysis model that covers concept and implementation, and integrate the contributions in a toolflow. A proof-of-concept confirms the low overhead of the implementation and the exact timing analysis of our model.
Analysis of Transformer Core Vibration Characteristics Using Modified Empirical Mode Decomposition

The empirical mode decomposition method can separate the transformer core vibration signal into finite modes, then disclose the running status of transformer, whereas, the decomposing results of core vibration are disturbed by the end distorting. To optimize the empirical mode decomposition, the time series modeling and predicting were introduced to extend the signal, and non-uniform B-spline curve was provided for overshoots and undershoots of polynomial spline at the same time. Associating with predicting vibration data beyond observation series by model, envelope fitting of data inside and outside observation series based on non-uniform B-spline curve is got. Envelope fitting based on predicting model and B-spline interpolation curves alleviates large swings. Left by themselves, the end swings can eventually propagate inward and corrupt the whole data span. The decomposing results of transformer core vibration show that intrinsic mode functions. It is demonstrated by actual analysis that the modified empirical mode decomposition method is one effective way.
Reversible Blockade of Thymic Output: An Inherent Part of TLR Ligand-Mediated Immune Response1

TLRs constitute a first set of sensors that detect viral nucleic acids including dsRNA which triggers TLR3. We report the early, direct, and detrimental effect of polyinosine-polycytidilic acid treatment on T cell development. Inhibition of thymopoiesis was targeted to several thymocyte subpopulations. First, both a blockade of the double negative (DN)1-DN2 transition and a severe down-regulation of DN3-DN4 thymocyte proliferation were observed. In addition, an important decrease in the absolute numbers of double-positive thymocytes, concomitant with an increase in frequencies of apoptotic cells in this population were shown. This inhibition of thymopoiesis resulted in a reduced thymic output, as evidenced by a drop of the absolute numbers of naive T cells and TCR excision circles levels. The decrease in thymic cellularity and defects in thymic development were severely reduced, but not completely abolished in IFN-α/βR−/− mice, showing a direct contribution of type I IFNs, known to be massively up-regulated in viral infections, to the inhibition of T cell development. Strikingly, the TCR repertoire in treated mice was biased toward shorter CDR3 lengths as a result of a decreased expression of TdT and Rag2. However, thymic integrity remained intact since thymopoiesis was restored both quantitatively and qualitatively 14 days after the cessation of polyinosine-polycytidilic acid treatment. These results demonstrate a novel immunomodulatory role for virally encoded TLR ligands and RNA sensors; they further illustrate the diversity of mechanisms that viruses use to interfere with the development of a pathogen-specific immune responses.
Minimizing Cost for big data processing using Online

the growth in the big data is found to be at a very high pace each day. This heavy demand to meet the constraints like storage, computation and communication in the data centers incurs higher expenditures in order to meet their needs. Hence, cost minimization is a very essential and important fact in this era of big data. The operational expenditure of the data centers is deeply influenced by two main factors i.e. task assignment, data placement. In this paper, we have minimized the cost by the joint optimization of these two factors by applying the Mixed Integer Linear Programming that reduced the average completion time and also implemented an online database which improved the efficiency when compared to the traditional database and provided various advantages like processing speed, security etc. The experimental studies have proved on the fact of the cost reduction in case of using the online database. In this paper we have considered the “cyberstudents” as our online database. Keywords— Big data, cost minimization, data placement, MILP, online database, task assignment.
Single Granule Cells Excite Golgi Cells and Evoke Feedback Inhibition in the Cochlear Nucleus

In cerebellum-like circuits, synapses from thousands of granule cells converge onto principal cells. This fact, combined with theoretical considerations, has led to the concept that granule cells encode afferent input as a population and that spiking in individual granule cells is relatively unimportant. However, granule cells also provide excitatory input to Golgi cells, each of which provide inhibition to hundreds of granule cells. We investigated whether spiking in individual granule cells could recruit Golgi cells and thereby trigger widespread inhibition in slices of mouse cochlear nucleus. Using paired whole-cell patch-clamp recordings, trains of action potentials at 100 Hz in single granule cells was sufficient to evoke spikes in Golgi cells in ∼40% of paired granule-to-Golgi cell recordings. High-frequency spiking in single granule cells evoked IPSCs in ∼5% of neighboring granule cells, indicating that bursts of activity in single granule cells can recruit feedback inhibition from Golgi cells. Moreover, IPSPs mediated by single Golgi cell action potentials paused granule cell firing, suggesting that inhibitory events recruited by activity in single granule cells were able to control granule cell firing. These results suggest a previously unappreciated relationship between population coding and bursting in single granule cells by which spiking in a small number of granule cells may have an impact on the activity of a much larger number of granule cells.
Cogrowth and essentiality in groups and algebras

The cogrowth of a subgroup is defined as the growth of a set of coset representatives which are of minimal length. A subgroup is essential if it intersects non-trivially every non-trivial subgroup. The main result of this paper is that every function $f:{\Bbb N}\cup \{0\}\rightarrow {\Bbb N}$ which is strictly increasing, but at most exponential, is equivalent to a cogrowth function of an essential subgroup of infinite index of the free group of rank two. This class of functions properly contains the class of growth functions of groups. The notions of growth and cogrowth of right ideals in algebras are introduced. We show that when the algebra is without zero divisors then every right ideal, whose cogrowth is less than that of the algebra, is essential.
A conceptual framework for the teaching and learning of generic graduate attributes

In recent years universities have attempted to articulate the generic outcomes of the educational experiences they provide, beyond the content knowledge that is taught. These outcomes have come to be known as generic skills or generic graduate attributes in Australia, although they are also referred to by a range of other terms. Akin to some aspects of a mission statement, universities have claimed that these are the core outcomes of higher education and that every graduate of every degree will possess these. A recent phenomenographic investigation into academics' conceptions of these generic attributes revealed that, far from a shared understanding of such attributes as core outcomes, academics hold a variety of disparate understandings of the nature of generic attributes and their place amongst the outcomes of a university education. This variation is described in the Conceptions of Generic Attributes model. The present article extends this model by considering the way academics understand the teaching and learning of such attributes. The various pedagogical intentions and understandings identified in the present analysis are related to the conceptions of graduate attribute outcomes reported in the earlier study. The relationships between these two aspects of academics' understandings of generic attributes (what it is that is taught/learnt and how it is taught/learnt) are seen to be internally consistent. The conceptions identified in this analysis provide a way of making sense of the range of curricula approaches reported in the literature. Moreover, these integrated conceptions of generic graduate attributes provide a tool to support current attempts to implement systematic curriculum reform in universities.
Guidelines for the diagnosis, prevention and management of implantable cardiac electronic device infection. Report of a joint Working Party project on behalf of the British Society for Antimicrobial Chemotherapy (BSAC, host organization), British Heart Rhythm Society (BHRS), British Cardiovascular S

Infections related to implantable cardiac electronic devices (ICEDs), including pacemakers, implantable cardiac defibrillators and cardiac resynchronization therapy devices, are increasing in incidence in the USA and are likely to increase in the UK, because more devices are being implanted. These devices have both intravascular and extravascular components and infection can involve the generator, device leads and native cardiac structures or various combinations. ICED infections can be life-threatening, particularly when associated with endocardial infection, and all-cause mortality of up to 35% has been reported. Like infective endocarditis, ICED infections can be difficult to diagnose and manage. This guideline aims to (i) improve the quality of care provided to patients with ICEDs, (ii) provide an educational resource for all relevant healthcare professionals, (iii) encourage a multidisciplinary approach to ICED infection management, (iv) promote a standardized approach to the diagnosis, management, surveillance and prevention of ICED infection through pragmatic evidence-rated recommendations, and (v) advise on future research projects/audit. The guideline is intended to assist in the clinical care of patients with suspected or confirmed ICED infection in the UK, to inform local infection prevention and treatment policies and guidelines and to be used in the development of educational and training material by the relevant professional societies. The questions covered by the guideline are presented at the beginning of each section.
Design of Near-Threshold CMOS Logic

Numerous efforts have made to balance the tradeoff between power consumption, area and speed of a design. While studying the design at the two extreme ends of the design spectrum, namely the ultra-low power with acceptable performance at one end and high performance with power within limit at the other has not made. One solution to achieve the ultra-low power consumption is to operate the design in subthreshold region. The use of sub-threshold circuit designing in fast and energy efficient circuits is always needed in electronics industry especially in DSP, image processing and arithmetic units in microprocessors, where the low power is the primary concern and the delay can be tolerated. We design a simple CMOS inverter in weak inversion region (sub-threshold) and compare the power consumption with strong inversion region using Cadence 0. 18μm Technology.
HUMAN AGE ESTIMATION VIA GEOMETRIC AND TEXTURAL FEATURES

Aging progress of a person is influenced by many factors such as genetics, health, lifestyle, and even weather conditions. Therefore human age estimation from a face image is a challenging problem. Aging causes significant variations in facial shape and texture across years. In order to construct a general age classifier, shape and texture information of human face should be used together. In this paper, we propose a new age estimation system that uses a number of overlapping age groups and a classifier that combine geometric and textural facial features. The classifier scoring results are interpolated to produce the estimated age. We tested many geometric and textural facial features with age group classifiers. Comparative experiments show that the best performance is obtained using the fusion of Local Gabor Binary Patterns and Geometric features.
Structuring operating system aspects: using AOP to improve OS structure modularity

Key elements of operating systems crosscut – their implementation is inherently coupled with several layers of the system. Prefetching, for example, is a critical architectural performance optimization that amortizes the cost of going to disk by predicting and retrieving additional data with each explicit disk request. The implementation of prefetching, however, is tightly coupled with both high-level context of the request source and low-level costs of additional retrieval. In a traditional OS implementation, small clusters of customized prefetching code appear at both high and low levels along most execution paths that involve going to disk. This makes prefetching difficult to reason about and change, and interferes with the clarity of the primary functionality within which prefetching is embedded.
Cognitive Reserve and Memory Compensation Strategies in Mexican Older Adults

Nursing represents a main element to identify older adults prone to develop cognitive problems assessing their cognitive reserve and memory compensatory strategies. Cognitive reserve serves as a protective mechanism for cognition, and refers to “individual differences in brain resistance and how people process tasks that allow some to cope better than others with brain pathology” (Stern, 2009). High or low levels cognitive reserve depend on premorbid factors like years of education, occupation and leisure activities. Low cognitive reserve is associated with the manifestation of Alzheimer Disease (Stern, 2009). Memory compensation strategies are defined as those “processes which help to reach cognitive adaptation in front of the decline of memory capacity” (Frías, Dixon & Backman, 2003). There are five different types of memory compensation strategies: a) external, which allows the use of writing support, such as notes, lists, calendars, or agendas; b) internal, referred to the use of mnemotechnics by repeating information constantly or the association of words to persons, pictures or drawings to improve memories; c) time, means to do tasks slowly or in repeated occasions, for example reading more than once a text, or reading slowly an article from the journal, in order to remember it; d) confidence, implies asking another person such as a family member, a friend or acquaintance for help in order to remember dates, main events or situations; e) effort, is concentrating on the task, to be able to develop it, for example remembering a conversation, a telephone number or a meeting (Dixon, Hopp, Cohen, Frias de, & Backman, 2003). Introduction
The effect of chatbot personality on emotional connection and customer satisfaction

Firms are always looking for ways to engage their customers. Chatbots could be such a new way to engage customers. The e- commerce domain could benefit greatly from this chatbot technology by providing a more intuitive way of interacting with the website and act as a personal assistant helping the customer find the right product. But there is no to little empirical knowledge on how these chatbots are used in everyday settings. Personality is essential in chatbot design and has a major influence on human-robot interaction. Chatbot personality can be expressed in linguistics as linguistic style is an indicator of personality. This research will explore the effects that chatbot personality could have on adopted customer engagement factors customer satisfaction and emotional connection within a e- commerce domain. Two text-based chatbots are created, one with introvert and one with extrovert linguistics. An experiment in combination with a survey are used to gather the data needed for this research. Results found that extrovert linguistics had a more positive effect on both customer satisfaction and emotional connection than introvert linguistics.