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There is emerging evidence that decreased muscle mass and cardiorespiratory fitness (CRF) are associated with increased risk of cancer-related mortality. This paper aimed to present recommendations to prescribe effective and safe exercise protocols to minimize losses, maintain or even improve muscle mass, strength, and CRF of the cancer patients who are undergoing or beyond treatment during the COVID-19 era. Overall, we recommend performing exercises with bodyweight, elastic bands, or suspension bands to voluntary interruption (i.e., interrupt the exercise set voluntarily, according to their perception of fatigue, before concentric muscular failure) to maintain or increase muscle strength and mass and CRF during COVID-19 physical distancing. Additionally, rest intervals between sets and exercises (i.e., long or short) should favor maintaining exercise intensities between 50 and 80% of maxHR and/or RPE of 12. In an exercise program with these characteristics, the progression of the stimulus must be carried out by increasing exercise complexity, number of sets, and weekly frequency. With feasible exercises attainable anywhere, modulating only the work-to-rest ratio and using voluntary interruption, it is possible to prescribe exercise for a wide range of patients with cancer as well as training goals. Exercise must be encouraged; however, exercise professionals must be aware of the patient's health condition even at a physical distance to provide a safe and efficient exercise program. Exercise professionals should adjust the exercise prescription throughout home confinement whenever necessary, keeping in mind that minimal exercise stimuli are beneficial to patients in poor physical condition. [ABSTRACT FROM AUTHOR]

The sudden appearance of the enormously threatening COVID19 virus with its subsequent more infectious mutations challenged the very foundations of practically all countries around the world. It also prompted me to broaden the scope of reflecting on the age-old problem of "life and death". Amidst our growing knowledge of living entities it soon became clear that the cell is the smallest living entity -- exceeding the largest macromolecule by about 1 000 times. By the end of the 18th century viruses were discovered and they appeared to be entities intermediate between nonliving and living entities. From a philosophical perspective it opened the way to many intriguing questions directed at the boundaries of our knowledge. One question is how do we describe the diversity of things, properties and processes which we experience in our daily lives. Already in Greek culture we encounter theoretical approaches that opted for the exploration of just one mode of explanation. It gave rise to two opposing monistic orientations: panmechanism and panvitalism. Underlying this opposition there lurks a straightforward basic question, namely What is a plant? We argue that without prior knowledge of the difference between material things, plants and animals it would not even be possible to commence studying plants. The hypothetical transition from material configurations to truly living entities over a vast period of time is problematic because the long timespan, in fact, conceals an unsolved problem, namely the abrupt moment of transition -- the change from one moment to the next from nonliving to being alive. Assuming the simultaneous appearance of protein and DNA caused new unsolved problems. Attention is also given to elements of the question concerning what is matter, indicative of the unavoidable foundation of living entities. After some brief reflections on the various realms found in nature, elements of our earlier remarks about mechanistic and organistic approaches are connected to some problematic modern views. Simpson is correct in his criticism of the expression "molecular biology" because molecules, as such, are not alive. Von Bertalanffy expands on this issue with his remark that these processes are different in a living, sick or dead dog; but the laws of physics do not differentiate, being indifferent to whether or not dogs are alive or dead. That the physical substrate of living things contains its own distinct problems, steered our analysis into a slightly different direction. Finally, contemplating the multifaceted nature of the process of dying is followed up by looking at some constitutional issues and some implications for human rights. [ABSTRACT FROM AUTHOR]

Reducing passenger flow through highly frequented bottlenecks in public transportation networks is a well-known urban planning problem. This issue has become even more relevant since the outbreak of the SARS-CoV-2 pandemic and the necessity for minimum distances between passengers. We propose an approach that allows to dynamically navigate passengers around dangerously crowded stations to better distribute the passenger load across an entire urban public transport network. This is achieved through the introduction of new constraints into routing requests, that enable the avoidance of specific nodes in a network. These requests consider walks, bikes, metros, subways, trams and buses as possible modes of transportation. An implementation of the approach is provided in cooperation with the Munich Travel Corporation (MVG) for the city of Munich, to simulate the effects on a real city's urban traffic flow. Among other factors, the impact on the travel time was simulated given that the two major exchange points in the network were to be avoided. With an increase from 26.5 to 26.8 minutes on the average travel time, the simulation suggests that the time penalty might be worth the safety benefits. [ABSTRACT FROM AUTHOR]

We will show that the prepositions: Propagation of light and existence of physical distances, together form a circular reasoning fallacy. Thereby, we will claim that we do not have an implicit proof for the propagation of light and the existence of physical distances. [ABSTRACT FROM AUTHOR]

Copyright of Olhar de Professor is the property of Olhar de Professor and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

According to discoursal views on language, variations in textualization strategies are always socio-contextually motivated and never happen at random. The textual forms employed in a text, along with many other discoursal and contextual factors, could certainly affect the readability of the text, making it more or less processable for the same reader. On the basis of these assumptions, the present study set out to examine how our data varied across genres and disciplines in terms of our target textual forms. These forms are as follows: the magnitude of T-unit (MOTU), the degree of embeddedness of the main verb in T-unit (DE), the physical distance between the verb and its satellite elements (PD), the magnitude of the noun phrase appearing before the verb (MOX), and the magnitude of noun phrase appearing after the verb (MOY). Our data consisted of 20 research articles randomly selected from two different disciplines of Biology and Applied Linguistics, to be analyzed in terms of the above-named textual strategies. One way ANOVA and post hoc Tukey tests were used for data analyses. The results revealed cross-generic as well as cross-disciplinary differences in the employment of the above textual forms. These findings were discussed in terms of the academic concepts and discourse on the one hand and the possible effect of the required textual forms on the readability of the text on the other hand.

According to discoursal views on language, variations in textualization strategies are always socio-contextually motivated and never happen at random. The textual forms employed in a text, along with many other discoursal and contextual factors, could certainly affect the readability of the text, making it more or less processable for the same reader. On the basis of these assumptions, the present study set out to examine how our data varied across genres and disciplines in terms of our target textual forms. These forms are as follows: the magnitude of T-unit (MOTU), the degree of embeddedness of the main verb in T-unit (DE), the physical distance between the verb and its satellite elements (PD), the magnitude of the noun phrase appearing before the verb (MOX), and the magnitude of noun phrase appearing after the verb (MOY). Our data consisted of 20 research articles randomly selected from two different disciplines of Biology and Applied Linguistics, to be analyzed in terms of the above-named textual strategies. One way ANOVA and post hoc Tukey tests were used for data analyses. The results revealed cross-generic as well as cross-disciplinary differences in the employment of the above textual forms. These findings were discussed in terms of the academic concepts and discourse on the one hand and the possible effect of the required textual forms on the readability of the text on the other hand.

This paper, partly written in the first person, describes the struggle and also the gains made by both an adolescent patient and her therapist when they had to move to a digital platform for their therapy sessions. The particular focus is on the shift in the countertransference and what became possible for both in their responses, when forced to move to digital work. [ABSTRACT FROM AUTHOR]

While the ('ovid-19 pandemic is perceived as a social crisis worldwide, it has also revealed an invisible enemy and another in a sociological context. This situation has ensured states and nations to become withdrawn and take measures closing their borders. However, the understanding of risk society as a global epidemic contributes to different discussions on the development and spread of the epidemic. At the same time, the panic, shock effect and fear caused by the epidemic also raise the idea that it will cause radical changes in social context and structure. The coronavirus epidemic, as an exception, will cause a radical change in institutions belonging to the social structure, as well as providing an opportunity to talk about a new type of society. Institutions such as family, politics or religion become needy to be explained with new interpretations and theories. Especially the epidemic society type debate is deemed important in terms of showing how people adapt to change and what societies give up as a result of conditions. Our study aims to evaluate the developments that emerged with the pandemic in a sociological context by showing the change experienced by the family institution in the social platform, based on the perceptions and thoughts of the students of the Atatürk University Faculty Of Open University and the levels at which this change has reached. [ABSTRACT FROM AUTHOR]

It is becoming clearer that the impact of brain diseases is more convincingly represented in terms of co‐alterations rather than in terms of localization of alterations. In this context, areas characterized by a long mean distance of co‐alteration may be considered as hubs with a crucial role in the pathology. We calculated meta‐analytic transdiagnostic networks of co‐alteration for the gray matter decreases and increases, and we evaluated the mean Euclidean, fiber‐length, and topological distance of its nodes. We also examined the proportion of co‐alterations between canonical networks, and the transdiagnostic variance of the Euclidean distance. Furthermore, disease‐specific analyses were conducted on schizophrenia and Alzheimer's disease. The anterodorsal prefrontal cortices appeared to be a transdiagnostic hub of long‐distance co‐alterations. Also, the disease‐specific analyses showed that long‐distance co‐alterations are more able than classic meta‐analyses to identify areas involved in pathology and symptomatology. Moreover, the distance maps were correlated with the normative connectivity. Our findings substantiate the network degeneration hypothesis in brain pathology. At the same time, they suggest that the concept of co‐alteration might be a useful tool for clinical neuroscience. [ABSTRACT FROM AUTHOR]

On January 31, 2020, the World Health Organization (WHO) declared the outbreak of a novel coronavirus responsible for an infection termed COVID-19 as a global public health emergency. To slow the spread of the coronavirus, countries around the world have been implementing various measures, including school and institutional closures, lockdown and targeted quarantine for suspected infected individuals. More than a third of the world's population have been home confined less than 4 months after the start of the outbreak. The present article aims to advise healthy individuals and athletes who are in lockdown regarding their lifestyle in order to keep healthy, safe and fit. The advice contained in the present article could apply to anyone aiming at remaining in good physical and mental health while forced to undergo lockdown, quarantine, or limited movement (movement control order). Boosting the immune system is crucial during such periods for confined people and especially for confined athletes. Specific recommendations must be followed concerning boosting the immune system through physiological and psychological management. This article analyses the available scientific evidence in order to recommend a practical approach, focusing on nutrition, intermittent fasting or caloric restriction, vitamin D insufficiency, sleep pattern, exercise, and psychodynamic aspects as factors impacting the immune system and human health in general. [ABSTRACT FROM AUTHOR]

Copyright of Socioloski Pregled is the property of Srpsko Sociolosko Drustvo and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Proximity seeking is at the core of attachment theory. Previously proximity has been studied almost exclusively in psychological terms. In clinical practice, however, couple therapists may interpret physical distance between romantic partners as a marker for the quality of the attachment bond. Unfortunately, this concept of physical distance between partners as an expression of attachment has never been tested. This study examines whether physical distance between romantic partners is associated with attachment. In 53 students and 43 clinical couples physical distance was repeatedly measured from video using novel software with excellent reliability. Attachment was measured with the Experiences in Close Relationships questionnaire. It was found that male attachment anxiety about rejection repeatedly showed statistically significant associations with physical interpersonal distance in student and clinical couples. We conclude that attachment may manifest itself not only in terms of psychological intimacy but also in terms of physical distance. Clinical utility and research implications are discussed. [ABSTRACT FROM AUTHOR]

Prior studies have separately suggested the importance of physical distance or social distance effects for the creation of neighborhood ties. This project adopts a case study approach and simultaneously tests for propinquity and homophily effects on neighborhood ties by employing a full-network sample from a recently-developed New Urbanist neighborhood within a mid-sized southern city. The authors find that physical distance reduces the likelihood of weak or strong ties forming, suggesting the importance of accounting for propinquity when estimating social tie formation. The authors simultaneously find that social distance along wealth reduces the likelihood of weak ties forming. Social distance on life course markers—age, marital status, and the presence of children—reduces the formation of weak ties. Consistent with the systemic model, each additional month of shared residence in the neighborhood increases both weak and strong ties. An important innovation is this study’s ability to directly compare the effects of physical distance and social distance, placing them into equivalent units: a ten percent increase in home value difference is equivalent to a 5.6 percent increase in physical distance.

With the availability of high-density single-nucleotide polymorphism (SNP) data and the development of genotype imputation methods, high-density panel-based genomic prediction (GP) has become possible in livestock breeding. It is generally considered that the genomic estimated breeding value (GEBV) accuracy increases with the marker density, while studies have shown that the GEBV accuracy does not increase or even decrease when high-density panels were used. Therefore, in addition to the SNP number, other measurements of ‘marker density’ seem to have impacts on the GEBV accuracy, and exploring the relationship between the GEBV accuracy and the measurements of ‘marker density’ based on high-density SNP or whole-genome sequence data is important for the field of GP. In this study, we constructed different SNP panels with certain SNP numbers (e.g., 1 k) by using the physical distance (PhyD), genetic distance (GenD) and random distance (RanD) between SNPs respectively based on the high-density SNP data of a Germany Holstein dairy cattle population. Therefore, there are three different panels at a certain SNP number level. These panels were used to construct GP models to predict fat percentage, milk yield and somatic cell score. Meanwhile, the mean (d¯) and variance (σd2) of the physical distance between SNPs and the mean (r2¯) and variance (σr22) of the genetic distance between SNPs in each panel were used as marker density-related measurements and their influence on the GEBV accuracy was investigated. At the same SNP number level, the d¯ of all panels is basically the same, but the σd2, r2¯ and σr22 are different. Therefore, we only investigated the effects of σd2, r2¯ and σr22 on the GEBV accuracy. The results showed that at a certain SNP number level, the GEBV accuracy was negatively correlated with σd2, but not with r2¯ and σr22. Compared with GenD and RanD, the σd2 of panels constructed by PhyD is smaller. The low and moderate-density panels (< 50 k) constructed by RanD or GenD have large σd2, which is not conducive to genomic prediction. The GEBV accuracy of the low and moderate-density panels constructed by PhyD is 3.8~34.8% higher than that of the low and moderate-density panels constructed by RanD and GenD. Panels with 20–30 k SNPs constructed by PhyD can achieve the same or slightly higher GEBV accuracy than that of high-density SNP panels for all three traits. In summary, the smaller the variation degree of physical distance between adjacent SNPs, the higher the GEBV accuracy. The low and moderate-density panels construct by physical distance are beneficial to genomic prediction, while pruning high-density SNP data based on genetic distance is detrimental to genomic prediction. The results provide suggestions for the development of SNP panels and the research of genome prediction based on whole-genome sequence data.

Pandemic management is likely to represent a global reality for years to come, but the roadmap for how to approach pandemic restrictions is as yet unclear. Of the restrictions enacted during COVID-19, among the more controversial surround alcohol. Like many infectious diseases, the principal mode of transmission for COVID-19 is direct respiration of droplets emitted during close social contact, and health officials warn that alcohol consumption may lead to decreased adherence to physical distancing guidelines. Governing bodies have acted to close bars before restaurants and have also specifically restricted alcohol sales, while at the same time those in the nightlife industry have labeled such actions unfounded and discriminatory. Complicating such debates is the lack of evidence on alcohol's effects on physical distance. In the current study we employed a randomized alcohol-administration design paired with computer-vision measures, analyzing over 20,000 proximity readings derived from video to examine the effect of alcohol consumption on physical distance during social interaction. Results indicated that alcohol caused individuals to draw significantly closer to an unfamiliar interaction partner during social exchange, reducing physical proximity at a rate with potentially important implications for public health. In contrast, alcohol had no effect on physical distance with a familiar interaction partner. Findings suggest that alcoholmight act to overcome a natural caution people feel towards strangers and thus promote virus transmission between previously unconnected social groups. [ABSTRACT FROM AUTHOR]

To address the problem of airborne transmission caused by droplets/droplet nuclei containing infectious viruses such as influenza A, tuberculosis, and SARS-CoV-2, the transmission dynamics of infectious droplets in indoor environments, from the generation/emission from an infected subject to the exposure of the target subject via indoor air, must be comprehended seamlessly and accurately. Research on indoor airborne transmission requires rigorous prior ethical review, and experimental studies on humans (in vivo and/or in vitro) are severely limited. Therefore, research methods based on in silico models; i.e., numerical modeling and analysis approaches, are preferred, owing to their flexibility for case and sensitivity analyses. In this study, assuming airborne transmission of SARS-CoV-2 in an indoor environment, we develop and perform a seamless and continuous numerical analysis of infectious droplet dispersion from a coughing infected subject and the subsequent inhalation exposure of a target subject (via the respiratory tract) through transient breathing. We focus on the effects of respiration patterns, particle-size changes due to evaporation, and indoor physical distance between the subjects, on the exposure concentration and distribution of inhaled droplets in the respiratory tract. The results show that, when an infected person coughs within a physical distance of 1 m, inhalation exposure results in significant differences in the inhalation–exhalation timing of breathing, and local environmental conditions have a dominant effect on the inhalation exposure. In short-range airborne transmission, the particle-size change due to evaporation has a dominant effect on the estimation of the inhalation exposure concentration in the respiratory tract. • Seamless analysis of airborne virus transmission in indoor environment. • Droplet-size change due to evaporation substantially affects inhalation exposure. • Breathing time affects inhalation exposure concentration in short distances. • Physical distancing contributes more to infection control than ventilation. [ABSTRACT FROM AUTHOR]

During the COVID-19 pandemic, the temporary closure of physical activity and sports facilities, and the generalized cancellation or postponement of sports events have a massive impact on social and economic development. In this study, we explored the feasibility of using tracking data from a football match to assess interpersonal contact between individuals by calculating two measures of respiratory exposure. The dynamic tracking positioning of all players and referees during one international football match was analyzed. For each individual, two measures of respiratory exposure were calculated, based on the 2 m interpersonal distance recommendations for contact tracing for COVID-19 control. Overall, individuals spent a median of 0:12 mm:ss (IQR = 0:45 mm:ss) exposed to interpersonal contact of fewer than 2 m from others. The highest value of exposure was observed between two players of opposing teams (6:35 mm:ss). The results suggest that tracking data can be used to assess respiratory exposure to interpersonal contact in team sports, such as football. The measures of exposure calculated can be used to the prompt identification of high-risk contacts of COVID-19 cases during a match or a training session, but also the risk stratification of different sports and physical activities.

Radio frequency communication technology has not only greatly improved public network service, but also developed a new technological route for indoor navigation service. However, there is a gap between the precision and accuracy of indoor navigation services provided by indoor navigation service and the expectation of the public. This study proposed a method for constructing a hybrid dual frequency received signal strength indicator (HDRF-RSSI) fingerprint library, which is different from the traditional RSSI fingerprint library constructing method in indoor space using 2.4G radio frequency (RF) under the same Wi-Fi infrastructure condition. The proposed method combined 2.4G RF and 5G RF on the same access point (AP) device to construct a HDRF-RSSI fingerprint library, thereby doubling the fingerprint dimension of each reference point (RP). Experimental results show that the feature discriminability of HDRF-RSSI fingerprinting is 18.1% higher than 2.4G RF RSSI fingerprinting. Moreover, the hybrid radio frequency fingerprinting model, training loss function, and location evaluation algorithm based on the machine learning method were designed, so as to avoid limitation that transmission point (TP) and AP must be visible in the positioning method. In order to verify the effect of the proposed HDRF-RSSI fingerprint library construction method and the location evaluation algorithm, dual RF RSSI fingerprint data was collected to construct a fingerprint library in the experimental scene, which was trained using the proposed method. Several comparative experiments were designed to compare the positioning performance indicators such as precision and accuracy. Experimental results demonstrate that compared with the existing machine learning method based on Wi-Fi 2.4G RF RSSI fingerprint, the machine learning method combining Wi-Fi 5G RF RSSI vector and the original 2.4G RF RSSI vector can effectively improve the precision and accuracy of indoor positioning of the smart phone.

Social and affective relations may shape empathy to others’ affective states. Previous studies also revealed that people tend to form very different mental representations of stimuli on the basis of their physical distance. In this regard, embodied cognition and embodied simulation propose that different physical distances between individuals activate different interpersonal processing modes, such that close physical distance tends to activate the interpersonal processing mode typical of socially and affectively close relationships. In Experiment 1, two groups of participants were administered a pain decision task involving upright and inverted face stimuli painfully or neutrally stimulated, and we monitored their neural empathic reactions by means of event-related potentials (ERPs) technique. Crucially, participants were presented with face stimuli of one of two possible sizes in order to manipulate retinal size and perceived physical distance, roughly corresponding to the close and far portions of social distance. ERPs modulations compatible with an empathic reaction were observed only for the group exposed to face stimuli appearing to be at a close social distance from the participants. This reaction was absent in the group exposed to smaller stimuli corresponding to face stimuli observed from a far social distance. In Experiment 2, one different group of participants was engaged in a match-to-sample task involving the two-size upright face stimuli of Experiment 1 to test whether the modulation of neural empathic reaction observed in Experiment 1 could be ascribable to differences in the ability to identify faces of the two different sizes. Results suggested that face stimuli of the two sizes could be equally identifiable. In line with the Construal Level and Embodied Simulation theoretical frameworks, we conclude that perceived physical distance may shape empathy as well as social and affective distance.

Social and affective relations may shape empathy to others' affective states. Previous studies also revealed that people tend to form very different mental representations of stimuli on the basis of their physical distance. In this regard, embodied cognition and embodied simulation propose that different physical distances between individuals activate different interpersonal processing modes, such that close physical distance tends to activate the interpersonal processing mode typical of socially and affectively close relationships. In Experiment 1, two groups of participants were administered a pain decision task involving upright and inverted face stimuli painfully or neutrally stimulated, and we monitored their neural empathic reactions by means of event-related potentials (ERPs) technique. Crucially, participants were presented with face stimuli of one of two possible sizes in order to manipulate retinal size and perceived physical distance, roughly corresponding to the close and far portions of social distance. ERPs modulations compatible with an empathic reaction were observed only for the group exposed to face stimuli appearing to be at a close social distance from the participants. This reaction was absent in the group exposed to smaller stimuli corresponding to face stimuli observed from a far social distance. In Experiment 2, one different group of participants was engaged in a match-to-sample task involving the two-size upright face stimuli of Experiment 1 to test whether the modulation of neural empathic reaction observed in Experiment 1 could be ascribable to differences in the ability to identify faces of the two different sizes. Results suggested that face stimuli of the two sizes could be equally identifiable. In line with the Construal Level and Embodied Simulation theoretical frameworks, we conclude that perceived physical distance may shape empathy as well as social and affective distance. [ABSTRACT FROM AUTHOR]

Prior research has found that people perceive positive objects and locations as physically closer than negative ones. Yet, other work has found the opposite to be true for perceptions of temporal distance, where negative future events feel closer than positive ones. Motivated by this seeming discrepancy, we propose that (a) feelings of control can differentially influence how far away valenced (i.e., positive or negative) targets feel in space and time and that (b) the difference in perceived control over space versus time can account for these opposite findings. First, across four studies, we show that high (vs. low) control makes positive targets feel closer and negative targets feel more distant in both physical space (Studies 1 and 1a) and time (Studies 2 and 2a). Then, in Studies 3 and 4, we simultaneously examine perceptions of spatial and temporal distance and show that baseline differences in perceived control between these domains can explain the prior discrepant findings. Finally, a within‐paper meta‐analysis offers further support to these findings. [ABSTRACT FROM AUTHOR]

Traditional methods for constructing brain functional network often need to artificially set a certain threshold, which requires professional and technical personnel to do this work. In order to overcome this deficiency, this study proposed a new method that can automatically construct brain functional network from electroencephalogram (EEG) data, based on positional relations among the vertices and network motif theories. To verify this method, resting state and task state EEG data were converted into brain functional networks with both the new method and traditional methods to explore the discrepancies of network features. The results showed that the mean physical distance increased with the increasing of network edges, evidently suggesting that higher weights of the edges have shorter physical distances, which is the direct model foundation. Besides, consistent results of network features were obtained among these methods, especially in weighted networks, indicating that this new method had the same capacity in accurately characterizing network features compared with the traditional methods. Moreover, this new method can efficiently distinguish the networks that have big differences in the weights, if the network has higher weights, the corresponding network would have more edges, which is in line with one of the traditional methods that using a threshold of weight. We also applied this model in mental fatigue detection, and the results of network characteristics, which obtained from the model and traditional method, have the same variation tendency, approximate values, and similar statistical differences, demonstrating that the proposed model can replace the traditional methods in differentiating similar brain functional states. The new method have potential applications in real-time brain functional networks construction. [ABSTRACT FROM AUTHOR]

Water has been seen as a healing source of life for centuries. Even the placebo effect of thermal therapies increases consumers’ well-being. Especially with easy traveling options demand for thermal therapies are on the rise. Users of thermal therapies are mostly composed of seniors. Even though age groups in the senior market have heterogeneous needs, managers assume them to be homogenous. Measuring thermal tourism demand by the length of stay, this study analyzed the determinants affecting the length of stay of older thermal tourists. The length of stay is predicted to have been affected by age, purchasing power, physical distance, and seasonal preferences. Even though all of the above have an effect on the length of stay, we find that age is the main determinant deciding the duration. These results may serve as a starting point for policymakers and tourism managers to tailor strategies to increase income streams associated with length of stay. [ABSTRACT FROM AUTHOR]

WiFi fingerprint positioning has been widely used in the indoor positioning field. The weighed K-nearest neighbor (WKNN) algorithm is one of the most widely used deterministic algorithms. The traditional WKNN algorithm uses Euclidean distance or Manhattan distance between the received signal strengths (RSS) as the distance measure to judge the physical distance between points. However, the relationship between the RSS and the physical distance is nonlinear, using the traditional Euclidean distance or Manhattan distance to measure the physical distance will lead to errors in positioning. In addition, the traditional RSS-based clustering algorithm only takes the signal distance between the RSS as the clustering criterion without considering the position distribution of reference points (RPs). Therefore, to improve the positioning accuracy, we propose an improved WiFi positioning method based on fingerprint clustering and signal weighted Euclidean distance (SWED). The proposed algorithm is tested by experiments conducted in two experimental fields. The results indicate that compared with the traditional methods, the proposed position label-assisted (PL-assisted) clustering result can reflect the position distribution of RPs and the proposed SWED-based WKNN (SWED-WKNN) algorithm can significantly improve the positioning accuracy.

Facial expressions of anger and fear have been seen to elicit avoidance behavior in the perceiver due to their negative valence. However, recent research uncovered discrepancies regarding these immediate motivational implications of fear and anger, suggesting that not all negative emotions trigger avoidance to a comparable extent. To clarify those discrepancies, we considered recent theoretical and methodological advances, and investigated the role of social preferences and processing focus on approach-avoidance tendencies (AAT) to negative facial expressions. We exposed participants to dynamic facial expressions of anger, disgust, fear, or sadness, while they processed either the emotional expression or the gender of the faces. AATs were assessed by reaction times of lever movements, and by posture changes via head-tracking. We found that-relative to angry faces-, fearful and sad faces triggered more approach, with a larger difference between fear and anger in prosocial compared to individualistic participants. Interestingly, these findings are in line with a recently developed concern hypothesis, suggesting that-relative to other negative expressions-expressions of distress may facilitate approach, especially in participants with prosocial preferences. [ABSTRACT FROM AUTHOR]

The purpose of the study described in this paper was investigated students' expectations with respect to physical distance between people, objects and animals in different situations. Data were gathered from 263 students (131 females, 132 males) from the Humanistic Institute in Walbrzych Higher Vocational College (PWSZ) and from the Faculty of Physical Education in Pawel Wlodkowic University College in Plock Higher School (SWPW). Students were conducted their studies as a part of bachelors degree. In this study we used 22- items Polish version of the IPROX questionnaires developed by Hogh-Olesen (2008), in which subjects in simulated situations were instructed to place humans, objects, and animals' in relation to other representatives of their category. Results indicate that IPROX questionnaire were very useful in assessing of the physical distance declared by students. With regard to student sex disclosed statistically significant differences the declared distances only in four situations. In every of them the male students declared significantly longer distance, than female students. A comparative analysis of average distances declared by the subjects from Greenland, Denmark, Italy, Cameroon and India [Hogh-Olesen, 2008] as well as Polish students showed existence cross-cultural differences.

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Experimental studies have found the involvement of certain conserved noncoding sequences (CNSs) in the regulation of the proximal protein-coding genes in mammals. However, reported cases of long range enhancer activities and interchromosomal regulation suggest that proximity of CNSs to protein-coding genes might not be important for regulation. To test the importance of the CNS genomic location, we extracted the CNSs conserved between chicken and four mammalian species (human, mouse, dog, and cattle). These CNSs were confirmed to be under purifying selection. The intergenic CNSs are often found in clusters in gene deserts, where protein-coding genes are in paucity. The distribution pattern, ChIP-Seq, and RNA-Seq data suggested that the CNSs are more likely to be regulatory elements and not corresponding to long intergenic noncoding RNAs. Physical distances between CNS and their nearest protein coding genes were well conserved between human and mouse genomes, and CNS-flanking genes were often found in evolutionarily conserved genomic neighborhoods. ChIP-Seq signal and gene expression patterns also suggested that CNSs regulate nearby genes. Interestingly, genes with more CNSs have more evolutionarily conserved expression than those with fewer CNSs. These computationally obtained results suggest that the genomic locations of CNSs are important for their regulatory functions. In fact, various kinds of evolutionary constraints may be acting to maintain the genomic locations of CNSs and protein-coding genes in mammals to ensure proper regulation. [ABSTRACT FROM AUTHOR]

We examined whether homophobic epithets (e.g., faggot) function as labels of deviance for homosexuals that contribute to their dehumanization and physical distance. Across two studies, participants were supraliminally (Study 1) and subliminally (Study 2) exposed to a homophobic epithet, a category label, or a generic insult. Participants were then asked to associate human-related and animal-related words to homosexuals and heterosexuals. Results showed that after exposure to a homophobic epithet, compared with a category label or a generic insult, participants associated less human-related words with homosexuals, indicating dehumanization. In Study 2, we also assessed the effect of a homophobic epithet on physical distance from a target group member and found that homophobic epithets led to greater physical distancing of a gay man. These findings indicate that homophobic epithets foster dehumanization and avoidance of gay people, in ways that other insults or labels do not. [ABSTRACT FROM AUTHOR]