Miracle-dz/UniFAR-FTUs huggingface dataset:
Energy-aware Clustering with Variable Ranges in Wireless Sensor Networks

—Traditional wireless devices communicate directly with a beacon or base station located in range of the device. Multi-hop messages are still a rarity in wireless communication. Wireless sensor network protocols often are based on peer-to-peer infrastructure, where messages traverse long distances through the network to reach a certain destination. A ﬂat infrastructure is hard to manage regarding routing and scalability, if number of nodes increase drastically. Because of battery operated nodes, energy-effective mechanisms are very important in wireless sensor networks. Clustering brings hierarchy into the network and can save energy since nodes within a cluster usually communicate locally in a short range. Messages sent to large distances are handled by cluster-heads routing them through an inter-cluster backbone. A heterogeneous infrastructure with a large number of simple and cheap sensor nodes and only a small percentage of more powerful cluster-heads is beneﬁcial but not necessary. This paper presents a new clustering approach called Variable Ranges Protocol that provides basic features to modify the range of each node. A dynamic transmission range adaption protocol substantially prolongs the lifetime of the nodes through energy efﬁcient communication without signiﬁcantly decreasing the node connectivity. The VR protocol is implemented combining several MAC protocols for local communication within a cluster.
Reinstatement of Reflex Testing of Stool Samples for Vancomycin-Resistant Enterococci (VRE) Resulted in Decreased Incidence of Hospital-Associated VRE

patients in a neonatal intensive care unit. J Hosp Infect 2001;48:108–116. 4. Loveday H, Wilson J, Pratt R, et al. Epic3: national evidencebased guidelines for preventing healthcare-associated infections in NHS hospitals in England. J Hosp Infect 2014;86: S1–S70. 5. Hong H, Morrow DF, Sandora TJ, Priebe GP. Disinfection of needleless connectors with chlorhexidine-alcohol provides longlasting residual disinfectant activity. Am J Infect Control 2013;41: e77–e79. 6. Menyhay SZ, Maki DG. Disinfection of needleless catheter connectors and access ports with alcohol may not prevent microbial entry: the promise of a novel antiseptic-barrier cap. Infect Control Hosp Epidemiol 2006;27:23–27. 7. Stango C, Runyan D, Stern J, Macri I, Vacca M. A successful approach to reducing bloodstream infections based on a disinfection device for intravenous needleless connector hubs. J Infus Nurs 2014;37:462–465. 8. Wright MO, Tropp J, Schora DM, et al. Continuous passive disinfection of catheter hubs prevents contamination and bloodstream infection. Am J Infect Control 2013;41:33–38.
On conjugate loci and cut loci of compact symmetric spaces II

In the present paper, we shall first study the topological structures of the cut locus and the conjugate locus of a compact symmetric space. We shall show that the cut locus C is the disjoint union of finite cell bundles Ex over compact manifolds B*. Here each Ex is the interior of a disk bundle Ex over B\ and C is obtained by the successive attachments of Ex at boundaries dEx of Ex. The conjugate locus can be also stratified in a similar way. We shall next give another stratification of the cut locus of an irreducible symmetric i? -space M=G/U by means of orbits of a certain subgroup U of G. We shall prove the following facts : M has finite[/-orbits, say Vo, Vu ・・・, Vr; There exists a unique open 17-orbit, say Vo, among them; Then the cut locus is the union of Vi, ・■・,Vr; Each Vi is described by means of generalized Schubert cells of M, and it has the structure of a vector bundle over a symmetric i? -space Bt. These results include those on cut loci of Grassmann manifolds, U(ri)}O(ri),U(n), SO(n) and U(2n)ISp(n) by Wong [12], [13], Sakai [5], [6]. We retain the. definitions and notations in Part I.
Proof of Concept of an IoT-Based Public Vehicle Tracking System, Using LoRa (Long Range) and Intelligent Transportation System (ITS) Services

Systems trying to solve mobility issues in cities, such as high levels of accidents and traffic congestion, have been developed worldwide. Intelligent Transportation Systems (ITS) services focused on urban public transport are an option contributing to solve such issues. A few intermediate cities in the Latin American context have developed some of these ITS services, which are mainly based on a tracking system for public transport vehicles. Such tracking systems have great limitations in terms of coverage, availability, and operational cost. In addition, they are commonly isolated mobility solutions, which cannot be easily integrated with other mobility services in the city because they are not based on an ITS architecture. In order to improve public transportation systems in intermediate cities, we proposed the development of an IoT-based public vehicle tracking system, using LoRa (Long Range) and ITS services. In this research, we developed the proposed system as a proof of concept. We designed and executed some experiments, in order to adjust parameters of the LoRa technology and to test its operation. This article presents the methods we followed for developing the proof-of-concept model, a description of the experiments, and their results. The results lead to conclude that the LoRa technology and an IoT-based system are adequate for implementation of a mobility service such as the one we propose, once important technical restrictions related mainly to Line of Sight (LoS) are considered. Key aspects for implementation were also identified for deploying the service (as a prototype) in the city of Popayán.
PRINCIPLES OF FOLIAR ORGANIZATION SHOWN BY SUN‐SHADE LEAVES FROM TEN SPECIES OF DECIDUOUS DICOTYLEDONOUS TREES

THE MORE CONSPICUOUS differences between sun and shade leaves are well known and references in this field are numerous. Many papers have dealt more or less critically with the structural features shown by cross sections of the lamina; several of these consider environmental factors and a few take into account the vascularization of the blade. A recent paper by the writer (Wylie, 1949) summarizes briefly some related papers in this field in connection with a comparative study of leaf organization at four stations in the crown of a single tree (Acer platanoides). The general structural concept of the foliage leaf has been largely based upon the study of transections of the blade. Early students had only freehand sections and later workers, with modern histological methods available, have based most of their findings on transections. These show favorably the blade thickness and the depth of its several layers as well as the form of individual palisade cells but afford little information about the spongy mesophyll or the general relations of its cells. Paradermal sections, cut in the plane of the blade, supplement by showing the size and shape of epidermal cells, stomatal distribution and the inter-relations of palisade cells, together with critical information on the structure of the spongy mesophyll. These sections also favor study of the minor venation, which is closely associated with the spongy mesophyll, and permit measurement of the vascularization. The present paper summarizes a survey of the blade tissues for ten species of deciduous woody dicotyledons, using leaves from three widely spaced stations in the crown of each tree. The purpose of the study, in addition to obtaining information on the structure and relative volume of the several tissues at the different stations, was to review their tissuemodifications and shifts in vascularization in relation to problems of foliar organization. MATERIALS AND METHODS. -Of these ten species, listed in table 1, six are native to Iowa; two, Liquidamber styracifiua and Catalpa,speciosq, are of southern range, while Acer platanoides and Lonicera tatarica are introduced north temperate plants. This series is a heterogeneous assemblage, selected in part because of problems presented by the structure of their sun leaves. Catalpa, and several others in lesser degree, have a vertical trend among their spongy mesophyll cells. Others, including the oaks, Acer platanoides, and Catalpa, have a dominant palisade, and a majority of them have patterns of spongy mesophyll differing from that of typical mesophytic foliage. Ulmus americana was included for various reasons primarily to learn more about the puzzling leaf of this widely distributed tree. While Acer platanoides had been previously sur-
Quantum Chemically Informed Machine Learning: Prediction of Energies of Organic Molecules with 10 to 14 Non-Hydrogen Atoms.

High-fidelity quantum chemical calculations can provide accurate predictions of molecular energies, but their high computational costs limit their utility, especially for larger molecules. We have shown in previous work that machine learning models trained on high-level quantum chemical calculations (G4MP2) for organic molecules with 1-9 non-hydrogen atoms can provide accurate predictions for other molecules of comparable size, at much lower costs. Here, we demonstrate that such models can also be used to effectively predict energies of molecules larger than those in the training set. To implement this strategy, we first established a set of 191 molecules with 10-14 non-hydrogen atoms having reliable experimental enthalpies of formation. We then assessed the accuracy of computed G4MP2 enthalpies of formations for these 191 molecules. The error in the G4MP2 results was somewhat larger than that for smaller molecules and the reason for this increase is discussed. Two density functional methods, B3LYP and ωB97X-D, were also used on this set of molecules, with ωB97X-D found to perform better than B3LYP at predicting energies. The G4MP2 energies for the 191 molecules were then predicted using these two functionals with two machine learning methods, the FCHL- and SCHNmodels, with the learning done on calculated energies of the 1-9 non-hydrogen atom molecules. The better-performing model, FCHL- gave atomization energies of the 191 organic molecules with 10-14 non-hydrogen atoms within 0.4 kcal/mol of their G4MP2 energies. Thus, this work demonstrates that quantum chemically informed machine learning can be used to successfully predict energies of large organic molecules, whose size is beyond that in the training set.
Allocation de ressources élastique pour l'optimisation de requêtes. (Elastic resource allocation for query optimization)

Le Cloud Computing est devenu un moyen largement utilise pour l'interrogation de bases de donnees. Les fournisseurs de cloud actuels proposent une variete de services implementes sur des architectures paralleles. Les objectifs de performances et les eventuelles penalites dans le cas de violation sont etablis au prealable dans un contrat appele Service-Level Agreement (SLA). Le but du fournisseur est de maximiser son benefice tout en respectant les besoins des locataires. Avant la naissance des systemes cloud, plusieurs travaux ont considere le probleme d'allocation de ressources pour l'interrogation de bases de donnees sur des architectures paralleles. Le plan d'execution de chaque requete est un graphe de tâches dependantes. L'expression "allocation de ressources" dans ces travaux sous-entend souvent le placement des tâches sur les ressources disponibles et aussi leur ordonnancement qui tient compte des liens de dependance. Le but consistait principalement a minimiser le temps d'execution de requetes et maximiser l'utilisation de ressources. Par contre, dans le cloud ce but ne garantit pas necessairement le meilleur benefice economique pour le fournisseur. Afin de maximiser le benefice et satisfaire les besoins des locataires, il est essentiel d'inclure le modele economique et les SLAs dans le processus d'allocation de ressources. En effet, les besoins des locataires en terme de performances sont differents, il serait donc interessant d'allouer les ressources d'une facon qui favorise les locataires les plus exigeants en assurant quand meme une certaine qualite de service pour les locataires les moins exigeants. De plus, dans le cloud le nombre de ressources attribuees peut augmenter/diminuer selon la demande (elasticite) et le cout monetaire depend du nombre de ressources attribuees, il devient donc interessant de mettre en place un mecanisme pour choisir automatiquement le moment adequat pour ajouter ou supprimer des ressources en fonction de la charge (dimensionnement automatique). Nous nous interessons dans le cadre de cette these a la conception de methodes d'allocation de ressources elastique pour les services d'interrogation de bases de donnees dans le cloud : (1) une methode d'allocation de ressources statique en deux phases pour assurer un bon compromis entre le benefice du fournisseur et la satisfaction des locataires, tout en garantissant un cout d'allocation raisonnable, (2) une methode de reallocation de ressources dirigee par les SLAs pour limiter l'impact des erreurs d'estimation sur le benefice et (3) une methode de dimensionnement automatique basee sur l'apprentissage par renforcement qui repond aux specificites de l'interrogation de bases de donnees. Afin d'evaluer nos contributions, nous avons implemente nos methodes dans un environnement cloud simule et nous les avons comparees a des methodes de l'etat de l'art en terme de cout monetaire de l'execution de requetes ainsi que le cout d'allocation.
Two species of Acremonium section Acremonium: A. borodinense sp. nov. and A. cavaraeanum rediscovered

Two unusual species of Acremonium sect. Acremonium, A. borodinense sp. nov. and A. cavaraeanum, are described and illustrated. They were isolated in Japan from rhizosphere soil of sugarcane and an outer wall of a wooden house respectively. A. borodinense is characterized by forming two kinds of conidia, ellipsoidal rough-walled and cylindrical smooth-walled. Of A. cavaraeanum a second isolate has become available; it forms long chains of fusiform conidia, has a luteous reverse and exudes a livid-red pigment into the medium.
Antibiotic-free poultry production: Is it sustainable?

Abstract There is growing acknowledgement that use of antibiotics in people is the primary driver of antibiotic-resistant infections in humans [ 1 , 7. , 8. , 9. ], however, antibiotic-free production of poultry has become increasingly popular. Consumer perception is that antibiotic-free produced poultry is superior to conventionally raised poultry in spite of a lack of supporting scientific data [ 2 ]. A widely accepted definition of antibiotic-free poultry in the United States is that there is “no use of antibiotics (including ionophore anticoccidials) at the farm. ” That means that coccidiosis and necrotic enteritis prevention must rely on synthetic or “chemical” anticoccidials, or on live coccidiosis vaccines, or on rotations between drugs and vaccines. The problem with this approach is that chemical anticoccidials (with the exception of nicarbazin) build coccidial resistance much quicker than ionophores and must be rested for a prolonged period of time. Further, there are limited numbers of anticoccidials of this class on the market. Moreover, unlike the ionophores, the chemicals do not have an antibiotic effect that aids in the prevention of necrotic enteritis and typically nicarbazin is only used during the cool months. Additionally, live coccidiosis vaccines induce immunity by invading, replicating, and cycling through the intestines. The coccidial infection, therefore, damages the intestinal epithelium and predisposes the birds to necrotic enteritis [ 3 ]. These intestinal health problems lead to bird welfare issues that must be addressed in the antibiotic-free production system. Likewise, it is generally acknowledged that production efficiency (weight gain, feed conversion ratio, mortality and yield) is adversely impacted in the antibiotic-free production system [ 4 ]. Thus, antibiotic-free production results in a greater carbon footprint and is less efficient [ 5. , 6. ]. Companies considering raising antibiotic-free poultry must be aware of the expected adverse effects on bird health, production efficiency, and cost.
Pericyclic Reactions - A Textbook: Reactions, Applications and Theory

Foreword. Preface. 1. Molecular Orbitals and Their Symmetry. 2. Electrocyclic Reactions. 3. Cycloaddition Reactions. 4. Sigmatropic Rearrangements. 5. Chelotropic, Group Transfer and Ene Reactions. 6. Special Topics. Subject Index. Author Index.
Can We Forecast Presidential Election Using Twitter Data? An Integrative Modelling Approach

ABSTRACT Forecasting political elections has attracted a lot of attention. Traditional election forecasting models in political science generally take preference in poll surveys and economic growth at the national level as the predictive factors. However, spatially or temporally dense polling has always been expensive. In the recent decades, the exponential growth of social media has drawn enormous research interests from various disciplines. Existing studies suggest that social media data have the potential to reflect the political landscape. Particularly, Twitter data have been extensively used for sentiment analysis to predict election outcomes around the world. However, previous studies have typically been data-driven and the reasoning process was oversimplified without robust theoretical foundations. Most of the studies correlate twitter sentiment directly and solely with the election results which can hardly be regarded as predictions. To develop a more theoretically plausible approach this study draws on political science prediction models and modifies them in two aspects. First, our approach uses Twitter sentiment to replace polling data. Second, we transform traditional political science models from the national level to the county level, the finest spatial level of voting counts. The proposed model has independent variables of support rate based on Twitter sentiment and variables related to economic growth. The dependent variable is the actual voting result. The 2016 U.S. presidential election data in Georgia is used to train the model. Results show that the proposed modely is effective with the accuracy of 81% and the support rate based on Twitter sentiment ranks the second most important feature.
More Than Words: Extra-Sylvian Neuroanatomic Networks Support Indirect Speech Act Comprehension and Discourse in Behavioral Variant Frontotemporal Dementia

Indirect speech acts—responding “I forgot to wear my watch today” to someone who asked for the time—are ubiquitous in daily conversation, but are understudied in current neurobiological models of language. To comprehend an indirect speech act like this one, listeners must not only decode the lexical-semantic content of the utterance, but also make a pragmatic, bridging inference. This inference allows listeners to derive the speaker’s true, intended meaning—in the above dialog, for example, that the speaker cannot provide the time. In the present work, we address this major gap by asking non-aphasic patients with behavioral variant frontotemporal dementia (bvFTD, n = 21) and brain-damaged controls with amnestic mild cognitive impairment (MCI, n = 17) to judge simple question-answer dialogs of the form: “Do you want some cake for dessert? ” “I’m on a very strict diet right now,” and relate the results to structural and diffusion MRI. Accuracy and reaction time results demonstrate that subjects with bvFTD, but not MCI, are selectively impaired in indirect relative to direct speech act comprehension, due in part to their social and executive limitations, and performance is related to caregivers’ judgment of communication efficacy. MRI imaging associates the observed impairment in bvFTD to cortical thinning not only in traditional language-associated regions, but also in fronto-parietal regions implicated in social and executive cerebral networks. Finally, diffusion tensor imaging analyses implicate white matter tracts in both dorsal and ventral projection streams, including superior longitudinal fasciculus, frontal aslant, and uncinate fasciculus. These results have strong implications for updated neurobiological models of language, and emphasize a core, language-mediated social disorder in patients with bvFTD.
NATURAL BOND ORBITALS AND EXTENSIONS OF LOCALIZED BONDING CONCEPTS

We provide a brief overview of “natural” localized bonding concepts, as implemented in the current natural bond orbital program (NBO 5.0), and describe recent extensions of these concepts to transition metal bonding. [Chem. Educ. Res. Pract. Eur. : 2001, 2, 91-104]
NORMALIZATION OF TRANSLITERATED WORDS USING SEQ2SEQ MODEL WITH SPELL CHECKER

There are two written systems in Mongolian language: -Classic Mongolian (Uyghur Mongolian) -Cyrillic Both of them are used in Mongolia. The Mongolian People's Republic, as it was called then, first started using a modified Russian Cyrillic alphabet in 1940 which is still used and the official written system. Mongolian Cyrillic has 35 characters. Even though the official written system is the Cyrillic script before as mentioned, recently many people use Latin alphabets to write text on social media like Facebook and Twitter. While writing transliterated text using the Roman script on social media, there is no rule. Therefore, one word can be written in different forms. The text processing of social media is one of the important subjects in NLP. Therefore, in the last years, there has been a lot of work that focuses on social media. But there is a lack of research in this area for the Mongolian language and this is the first study of text normalization for Mongolian. Text normalization is a pre-processing stage for speech and language processing applications. At first, text normalization was to convert words in non-standard forms such as numbers, dates, acronyms, and abbreviations to standard forms in the formal text. But later this content was expanded to convert informal text on social media into formal text. Both source and target texts are the same languages in the most research work of noisy text normalizations. In our case, it is a little bit different and our purpose is to convert noisy transliterated text on social media to the formal style. In other words, the scripts of source and target texts are different, Roman and Cyrillic scripts, respectively.
Microwave Filters for Communication Systems: Fundamentals, Design and Applications

Foreword. Preface. Acknowledgments. 1. Radio Frequency (RF) Filter Networks for Wireless Communications-The System Perspective. PART I: INTRODUCTION TO A COMMUNICATION SYSTEM, RADIO SPECTRUM, AND INFORMATION. PART II: NOISE IN A COMMUNICATION CHANNEL. PART III: IMPACT OF SYSTEM DESIGN ON THE REQUIRMENTS OF FILTER NETWORKS. 2. Fundamentals of Circuit Theory Approximation. 3. Characterization of Lossless Lowpass Prototype filter functions. 4. Computer-Aided Synthesis of Characteristic Polynomials. 5. Analysis of Multiport Microwave Networks. 6. Synthesis of a General Class of the Chebyshev Filter Function. 7. Synthesis of Network - Circuit Approach. 8. Coupling Matrix Synthesis of Filter Networks. 9. Reconfiguration of the Folded Coupling Matrix. 10. Synthesis and Application of Extracted Pole and Trisection Elements. 11. Microwave Resonators. 12. Waveguide and Coaxial Lowpass Filters. 13. Waveguide Realization of Single- and Dual-Mode Resonator Filters. 14. Design and Physical Realization of Coupled Resonator Filters. 15. Advanced EM-Based Design Techniques for Microwave Filters. 16. Dielectric Resonator Filters. 17. AllPass Phase and Group Delay Equalizer Networks. 18. Multiplexer Theory and Design. 19. Computer-Aided Diagnosis and Tuning of Microwave Filters. 20. High-Power Considerations in Microwave Filter Networks. Appendix A. Appendix B. Appendix C. Appendix D. Index.