Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Smell in Space Perception Analyzing the Waiting Experience in a Room under Lavender and Orange Scents –

: Waiting is an inevitable part of life and the spaces in which we wait can contribute to either improve or worsen the experience. This paper covers the process and results of “The waiting room”, analyzing if the presence of specific smells has a significant impact in how the room and the waiting experience are perceived. Two different odorants were selected, lavender (relaxing) and orange (stimulating); 63 participants from 32 different countries were assigned into three groups (between-groups approach): Control (unscented), Orange and Lavender. Results show that both scents affected the room and waiting experience evaluation in different ways and overall increased the surrounding space perception compared to the unscented condition. Participants exposed to lavender scent were inclined to rate higher the ‘psychological’ properties of the room such as pleasantness and warmth; in addition the lavender-evoked memories were emotion based. Participants exposed to orange scent tended to rate higher the ‘physical’ properties of the room such as brightness and height; orange-evoked memories were object based. Lavender scent had a stronger influence in space perception than orange, suggesting the relevance of congruence and coherence between scent and physical environment when incorporating it as a tangible design tool in architecture.
Morphological and growth characteristics of Amorphophallus muelleri Blume - a commercially important konjac species.

One of the most widespread species of konjac and a vital source of glucomannan, a polysaccharide used in food, cosmetics and pharmaceutical industry is Amorphophallus muelleri Blume. A. muelleri is closely related to A. bulbifer and A. yuloensis H. Li. It can be propagated by tubers (called corms), bulbils (small bulbs formed in the leaf axils) or seed. The aim of this study was to investigate the vegetative growth and to determine physiological changes and the age at which the plant reaches the generative stage. This information is crucial for the cultivation of this species as currently most of the crop is still harvested in the wild, mainly in the forest. The research was conducted under field conditions near Surabaya, East Java, Indonesia, from November 2006 until May 2009. The cultivation and of A. muelleri is not easy but it offers an irresistible challenge for any keen agricultural researcher. It was found that A. muelleri showed positive response to suitable shading, good drainage, and application of manure as an organic fertiliser. An induction technique was developed and proven successful aiming at accelerating the process of flowering and fruiting of A. muelleri in order to increase its propagation rate. The study gave additional information on the best agronomic practice to grow this species including cultivation, planting distance, planting depth, the best time of harvest, storage conditions. Moreover, this study was involved in the determination of the concentration of konjac glucomannan (KGM) in tubers and bulbils, and the optimal ways of breaking dormancy and inducing flowering.
BRNO UNIVERSITY OF TECHNOLOGY Faculty of Electrical Engineering and Communication MASTER'S THESIS

Theoretical part of this master’s thesis contains brief theoretical basement for a designer of an A/D Converter in CMOS technology and overview of the architectures of the A/D Converters used in automotive industry. Choice of an architecture of the A/D Converter for this specific application was a crucial task of the semestral thesis and is included in the master’s thesis, too. Results of the Matlab analysis, which are supposed to give an answer to the question whether Sample and Hold circuit is needed or not, are enclosed. The core of the master thesis is a detailed documentation of the design of the subblocks of the Successive Approximation A/D Converter – Operational Amplifier, Comparator and R-2R D/A Converter – and a verification of their functionality. Verification of the whole A/D Converter is the final part of the thesis.
On the Capacity of Time-Varying Channels With Periodic Feedback

The capacity of time-varying channels with periodic feedback at the transmitter is evaluated. It is assumed that the channel-state information (CSI) is perfectly known at the receiver and is fed back to the transmitter at the regular time intervals. The system capacity is investigated in two cases: 1) finite-state Markov channel, and 2) additive white Gaussian noise channel with time-correlated fading. In the first case, it is shown that the capacity is achievable by multiplexing multiple codebooks across the channel. In the second case, the channel capacity and the optimal adaptive coding is obtained. It is shown that the optimal adaptation can be achieved by a single Gaussian codebook, while adaptively allocating the total power based on the side information at the transmitter.
A rigorous statistical approach for identifying significant itemsets

As advances in technology allow for the collection, storage, and mining of vast amounts of data, the task of screening and assessing the significance of the discovered patterns is becoming a major challenge in data mining applications. In this work, we address significance in the context of frequent itemset mining. Specifically, we develop a novel methodology to identify a meaningful support threshold s for a dataset, such that the family of frequent itemsets with respect to s embodies a substantial deviation from what would be expected in a random dataset, hence these itemsets can be flagged as significant. Our methodology hinges on a Poisson approximation of the distribution of the number of frequent itemsets of a given size, which is the main theoretical result of the paper. A crucial feature of our approach is that, unlike previous work, it takes into account the entire dataset rather than individual discoveries, hence it is able to distinguishing between significant observations and random fluctuations in data, thus resulting in fewer false discoveries. Extensive experiments are reported that substantiate the effectiveness of our methodology.
Interpreting 12-Lead Electrocardiograms for Acute ST-Elevation Myocardial Infarction: What Nurses Know

In patients with acute myocardial infarction, early reperfusion and sustained patency of the culprit artery are important determinants of survival. The 12-lead electrocardiogram (ECG) is considered the noninvasive gold standard for identification of acute ST-elevation myocardial infarction. Nurses play a critical role in the process of obtaining, interpreting, and communicating ECG findings. This study evaluates nurses' ability to differentiate ischemic from nonischemic ECG patterns, to detect affected ECG leads and location of ischemia, and assesses skill level by hospital unit type. Seventy-five nurses were given a set of 6 patient scenarios, each with a corresponding 12-lead ECG, and asked to identify the presence or absence of ischemia. Fourteen (19%) of the 75 nurses correctly identified the presence or absence of ischemia in all 6 scenarios. Of the 3 ECGs with a myocardial infarction pattern, 59 (79%) of the nurses identified all 3 as ischemic; however, no one was able to determine the correct leads, location, or amplitude of ST-segment elevation. For the 3 nonischemic ECGs, 37 (49%) of the nurses identified a normal ECG as ischemic, 47 (63%) determined that an early repolarization pattern was ischemic, and 34 (45%) indicated that a left bundle branch block pattern was ischemic. These results not only identify educational opportunities but also provide important information for researchers implementing clinical trials evaluating the use of bedside ECG monitoring systems for detection of acute myocardial ischemia.
Fostering shared knowledge with active graphical representation in different collaboration scenarios

This study investigated how two types of graphical representation tools influence the way in which learners use shared and unshared knowledge resources in two different collaboration scenarios, and how learners represent and transfer shared knowledge under these different conditions. Moreover, the relation between the use of knowledge resources, representation, and the transfer of shared knowledge was analyzed. The type of graphical representation (content-specific vs. content-unspecific) and the collaboration scenario (video conferencing vs. face-to-face) were varied. 64 university students participated. Results show that the learning partners converged in their profiles of resource use. With the content-specific graphical representation, learners used more appropriate knowledge resources. Learners in the computer-mediated scenarios showed a greater bandwidth in their profiles of resource use. A relation between discourse and outcomes could be shown for the transfer but not for the knowledge representation aspect
Author Guidelines for 8

Artificial Intelligence (AI), has many benefits, including the ability to find complex patterns, automation, and meaning making. Through these benefits, AI has revolutionized image processing among numerous other disciplines. AI further has the potential to revolutionize other domains; however, this will not happen until we can address the “ilities”: repeatability, explain-ability, reliability, use-ability, trust-ability, etc. Notably, many problems with the “ilities” are due to the artistic nature of AI algorithm development, especially hyperparameter determination. AI algorithms are often crafted products with the hyperparameters learned experientially. As such, when applying the same algorithm to new problems, the algorithm may not perform due to inappropriate settings. This research aims to provide a straightforward and reliable approach to automatically determining suitable hyperparameter settings when given an AI algorithm. Results, show reasonable performance is possible and end-to-end examples are given for three deep learning algorithms and three different data problems.
Longitudinal research using structural equation modeling applied in studies of determinants of psychological well-being and personal initiative in East Germany after the unification

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Relocation of Earthquakes in the Northeastern Tianshan Mountains Area and Improvement of Local 1-D Crustal Velocity ModelI

We apply three methods to relocate 599 earthquake events that occurred from August 2004 to August 2005 in the northeastern Tianshan Mountains area (85°30' ~ 88°30'E,43°00' ~ 44°40'N) by using travel times recorded by regional seismic network and 10 portable seismic stations deployed around the Urumqi city. By comparing the reliability of different results,we determined a suitable location method,and an improved 1-D crustal velocity model of the study area. The uncertainty of earthquake location is significantly reduced with combined data of seismic network and portable stations. The relocated events are clearly associated with regional tectonics of the northeastern Tianshan Mountains area, and are also in agreement with the existence of active faults imaged by deep seismic reflection profile. The relocated seismicity discovers some potential traces of buried active faults,which need to be validated further.
Anisotropic mesoscale turbulence and pattern formation in microswimmer suspensions induced by orienting external fields

This paper studies the influence of orienting external fields on pattern formation, particularly mesoscale turbulence, in microswimmer suspensions. To this end, we apply a hydrodynamic theory that can be derived from a microscopic microswimmer model (Reinken et al 2018 Phys. Rev. E 97, 022613). The theory combines a dynamic equation for the polar order parameter with a modified Stokes equation for the solvent flow. Here, we extend the model by including an external field that exerts an aligning torque on the swimmers (mimicking the situation in chemo-, photo-, magneto- or gravitaxis). Compared to the field-free case, the external field breaks the rotational symmetry of the vortex dynamics and leads instead to strongly asymmetric, traveling stripe patterns, as demonstrated by numerical solution and linear stability analysis. We further analyze the emerging structures using a reduced model which involves only an (effective) microswimmer velocity field. This model is significantly easier to handle analytically, but still preserves the main features of the anisotropic pattern formation. We observe an underlying transition between a square vortex lattice and a traveling stripe pattern. These structures can be well described in the framework of weakly nonlinear analysis, provided the strength of nonlinear advection is sufficiently weak.
Weighted Poincaré inequalities

Poincare-type inequalities are a key tool in the analysis of partial differential equations. They play a particularly central role in the analysis of domain decomposition and multilevel iterative methods for second-order elliptic problems. When the diffusion coefficient varies within a subdomain or within a coarse grid element, then condition number bounds for these methods based on standard Poincare inequalities may be overly pessimistic. In this paper, we present new results on weighted Poincare-type inequalities for very general classes of coefficients that lead to sharper bounds independent of any possible large variation in the coefficients. The main requirement on the coefficients is some form of quasi-monotonicity that we will carefully describe and analyse. The Poincare constants depend on the topology and the geometry of regions of relatively high and/or low coefficient values, and we shall study these dependencies in detail. Applications of the inequalities in the analysis of domain decomposition and multigrid methods can be found in Pechstein & Scheichl (2011, Numer. Math., 118) and Scheichl et al. (2012, SIAM J. Numer. Anal., 50).
The role of strategic forest inventories in aiding land management decision-making: Examples from the U.S

A major challenge for today’s resource managers is the linking of standand landscape-scale dynamics. The U.S. Forest Service has made major investments in programs at both the stand- (national forest project) and landscape/regional (Forest Inventory and Analysis [FIA] program) levels. FIA produces the only comprehensive and consistent statistical information on the status, changes, and trends in the condition and health of all forest ecosystems in the USA. Intended to be a strategic inventory, FIA data have not been used very much for small area inventory, planning, and analysis due to the high variation associated with the estimates. Yet, trends observed over landscape and regional scales can help managers making decisions at the local level. FIA data can be used to assist with project-level decision making, adding scientifically defensible data and framing local management in a larger context. FIA data are helpful in understanding stocking and density limitations and inter-species interactions. They also can provide insight into future growth and yield. FIA data provide opportunities to conduct scale-independent analyses to examine relationships between stand characteristics and forest health and invasive species, as well as methods for establishing ecological benchmarks and prioritizing restoration opportunities.
CAPSAICINOIDES Y PREFERENCIA DE USO EN DIFERENTES MORFOTIPOS DE CHILE (Capsicum annuum L.) DEL CENTRO-ORIENTE DE YUCATÁN CAPSAICINOIDS AND PREFERENCE OF USE IN DIFFERENT MORPHOTYPES OF CHILI PEPPERS (Capsicum annuum L.) OF EAST-CENTRAL YUCATÁN

Based on the structure of the morphological diversity of pepper Capsicum annuum populations from the east-central region of Yucatan, the content of capsaicin and dihydrocapsaicin with high performance liquid chromatograph (HPLC) was assessed in 19 populations of nine morpho-types belonging to C. annuum L. , known as Xcat ik (3), Sukurre (1), Ya'x ik (4), Dulce (5), Picopaloma (1) and Chowak (2); the type Ma'x ik (1) of C. annuum var. aviculare (Dierb.); and Habanero (1) of the species C. chinense Jacq. ; and one population of C. annuum L. named Bobo. The amount (µg g − − − −1 ) of both compounds varied among and within populations as follows: 42.42 of capsaicin and 58.85 of dihydrocapsaicin in Dulce; 204.72 and 372.24 in Bobo; 748.43 and 831.3 in Xcat ik; 1415.02 and 1317.43 in Chowak; 1777.61 and 1810.94 in Ya'x ik; 2438.86 and 1621.23 in Habanero; 2456.42 and 1928.00 in Picopaloma; 3584.27 and 1707.35 in Ma'x ik; 2930.54 and 4355.55 in Sukurre. The hottest morphotypes were Ma'x ik and Sukurre, and Bobo and Dulce were the least hot. The Habanero type showed a low amount of capsaicinoids. The morphotype Ya'x ik was medium hot and is the most widely used in Yaxcaba, Yucatan to prepare traditional dishes such as relleno negro, bean or pork chimole and different types of sauces. The hottest morphotypes ( Habanero and Ma'x ik) are used mainly for preparing sauces based on the roasted fruit. The Dulce morphotype is used for seasoning some dishes such as the turkey escabeche or to prepare pepper pork meat stuffing. Xcat ik is used mostly as seasoning for dishes prepared with turkey broth, called turkey escabeche. The variation in both capsaicin and dihydrocapsaicin content in the morphotype under study was closely associated with specific cooking uses.
Dams and Disease: Ecological Design and Health Impacts of Large Dams, Canals and Irrigation Systems

Panama Canal: recognition of French error in trying sea-level canal development of efficient means of earth moving overcoming malaria and yellow fever in labour force. St. Lawrence Seaway: international co-operation invasion of Great Lakes by lampreys Asian clams and zebra mussels. Tennessee Valley Authority: multipurpose operation eradication of malaria from valley development for fisheries and recreation control of eutrophication. African dams: Aswan on Nile River Volta in Ghana Manantali and Diama on Senegal river Kariba on Zambezi river. Tropical irrigation system: Blue Nile systems in Gezira of Sudan Indus and Ganges river systems. Dams in the Americas: Hoover and Glen Canyon dams in New England rivers Itaipu in Brazil. Asian dams: the Indus river dams in Pakistan Chinese dams Narmada Valley dams in India proposals for the Mekong river.
Design of Eight-Phase Sequences using Modified Particle Swarm Optimization for Spread Spectrum and Radar Applications

For a multiple access communication system and radar system, it is desirable to have a set of sequences such that each sequence has a peaky autocorrelation and each pair of sequence has a negligible cross-correlation as possible. Peakyness of the auto-correlation of a sequence is measured in terms of its discrimination, which is to be maximized. The negligibility of a cross-correlation is judged based on the energy in the cross-correlation which is to be minimized. Obtaining such sequences is a combinatorial problem for which many global optimization algorithms like genetic algorithm, particle swarm optimization algorithm, simulated annealing algorithm were reported in the literature. In this paper a Modified Particle Swarm Optimization (MPSO) Algorithm is being designed to achieve these sequences. The MPSO Algorithm is a combination of the Hamming Scan Algorithm (HAS) and Particle Swarm Optimization (PSO) and has the fast convergence rate of Hamming Scan and global minima convergence of Particle Swarm Optimization. Eight-phase sequences of lengths varying from 40 to 300 have been synthesized using MPSO and synthesized sequence sets achieved have better values of the above two properties compared with the literature.
Efecto a corto plazo de las embarcaciones turísticas y en tránsito sobre el comportamiento en superficie de megaptera novaeangliae : durante la temporada de reproducción 2008, en Bahía Málaga y alrededores (Valle del Cauca- Colombia)

By the 1994, the touristic observation about humpback whale (Megaptera novaeangliae) began commercially in Colombia, especially at Malaga Bay and its borders zones. For the present year this activity has increase at the same level as marine boats. In this study the effect of some touristic and transit boats over the shallow behavior of humpback whales was evaluated, taking as a reference point a 20 meters up platform located at the Malaga Bay entrance (3˚53'N, 77˚22'W), during 351.2 hours between august and September of 2008. Throughout incidentals and focal samples the events of flapping, tailing, tail exposure, spying, ventral and tail jumps were registered. In the same form with the movement states, agitation, repose, and the modal immersion time during the touristic observation process. (Before, during and after), the frequency rate changes for aerial behaviors and the early and lately responses of humpback whales to the transit boats were evaluated. The results shown there is a short time effect of transit and touristic boats over shallow behavior humpback whales, where tail jumps, rotation, and erratic quick movement yield a significant increase, the repose and the modal immersion time were significantly lower when the boat was present. According to the transit boats, it was clear that most of humpback whales change its aerial behavior during the process of transit, as well as their change according to the number of embarkations. Making in account the importance of the Malaga Bay as a touristic zone is necessary the implementation of a coastal management plan in order to realize these activities without disturb this huge cetacean.
Eastern Hemlock Forests: Guidelines to Minimize the Impacts of Hemlock Woolly Adelgid

Eastern hemlock (Tsuga canadensis) is the most shade-tolerant and long-lived tree species in Eastern North America. Its unsurpassed ability to tolerate low light enables it to form dense canopies and stands that provide a unique habitat for many plant and wildlife species. Carolina hemlock (Tsuga caroliniana) is a relic species limited to a small area in the southern range of eastern hemlock. Both species are being threatened by the accidentally introduced hemlock woolly adelgid (Adelges tsugae).
Comparison and integration of ice-pack temperatures derived from AVHRR and passive microwave imagery

Co-located sets of AVHRR and SSM/I passive microwave imagery are used to estimate ice surface temperatures and to infer cloud cover in the Arctic. Physical temperatures are determined from the AVHRR data by modeling atmospheric and surface conditions. The resulting field-of-view temperatures are converted to ice surface skin temperatures by adjusting for ice concentration calculated using the SSM/I data. By selecting AVHRR-derived temperatures for clear sky conditions, “effective” emissivities of first-year and multi-year ice are calculated. Given these emissivities, microwave brightness temperatures, and proportions of first-year and multi-year ice as estimated using the NASA Team Algorithm, physical temperatures of the sea ice/snow surface are calculated that are, in theory, relatively independent of cloud conditions. The resulting ice temperatures are used to delineate a portion of the cloud cover in the AVHRR data. The advantages of this approach are that only a fairly small amount of AVHRR data are needed to calibrate the SSM/I imagery that can then be used to calculate a time-series of temperatures on a large scale.