Miracle-dz/UniFAR-FTUs huggingface dataset:
Building semantic maps: the case of person marking

When comparing languages, a method is needed to deal with variability. Semantic maps are a frequently used method in typology to analyze and display cross-linguistic diversity. In my dissertation on the paradigmatic structure of person marking, I made a semantic map of person marking to summarise some structural aspects of my findings (Cysouw 2001a: 185– 187). However, the resulting map was not very satisfying, and I subsequently removed this attempt in the published version of my thesis (Cysouw 2003). In this paper I will revisit the attempt to build a semantic map for person marking, based on the data as discussed in detail in Chapters 3 and 4 from Cysouw (2003). My main conclusion will be that there is no such thing as the semantic map for person marking. Instead, various semantic maps are possible, and the traditional kind of semantic map should be seen as just one possible display of cross-linguistic variability. More generally, I will criticize the received view on establishing semantic maps (as summarised in Haspelmath 2003) because frequency of occurrence is ignored in that tradition. In Section 2, I will first discuss why there is a need for semantic maps and what is the methodological status of this approach in linguistic theory. Following this, in Section 3, I will turn to person marking, which will be the example I will use in this paper to illustrate my arguments. I will first make a semantic map for person marking along the received approach, and then sketch various ways to improve on this by including frequencies of occurrence. Section 4 will outline some possibilities of using similar approaches on different levels of linguistic structure. A summary and an outlook on further possible developments will be given in Section 5.
Rotational instability of the electric polarization and divergence of the shear elastic compliance

The rotational instability of the electric polarization $\mathbf{P}$ during phase transformations between ferroelectric phases is of great practical interest, since it may be accompanied by extremely large values of the piezoelectric coefficient, and a divergence of the coupled shear compliance contributes to such enhancements. In the literature, this has been explicitly calculated in the framework of the Landau theory and discussed with specific numerical simulations involving tetragonal, orthorhombic, and rhombohedral ferroelectric phases. When monoclinic phases are involved, such an approach is practically impossible, and an approximated treatment has been proposed, based on the observation that in those cases there are shear strains almost linearly coupled to the transverse component of $\mathbf{P}$, implying a divergence of the Curie-Weiss type in the associated compliances. Here the argument is extended to the general case of transitions whose major effect is a rotation of the polarization, and the limits of its validity are discussed. As experimental verification, the elastic response of ${\mathrm{BaTiO}}_{3}$ is measured and analyzed, together with those of other ferroelectric perovskites available in the literature, such as KNN.
Maladaptive coping strategies and neuroticism mediate the relationship between 5HTT-LPR polymorphisms and symptoms of anxiety in elite athletes

Previous studies have suggested that genetic factors, personality traits and coping strategies might play independent and interacting roles in influencing stress-related anxiety symptoms. The aim of this study was to examine whether Neuroticism and maladaptive coping strategies mediate the association between the serotonin transporter gene-linked polymorphic region (5HTT-LPR) and symptoms of anxiety and depression in elite athletes who experience high levels of competitive stress. One hundred and thirty-three participants were genotyped for the 5-HTTLPR polymorphism and then asked to complete the Cope Orientation to Problems Experienced Inventory and the NEO Five-Factor Inventory. A path analysis was used to test the aforementioned hypothesis. The 5HTT-LPR was significantly associated with Neuroticism, the coping strategy of Focus on and Venting of Emotions’ (FVE) and symptoms of anxiety. FVE and Neuroticism mediated the association between the 5HTT-LPR and symptoms of anxiety (i.e., Cognitive Anxiety and Emotional Arousal Control). Also, Neuroticism was a mediator of the association between the 5HTT-LPR and FVE. Finally, FVE also mediated effects on the relationship between Neuroticism and symptoms of anxiety. Results suggest that the 5HTT-LPR may affect the susceptibility to develop symptoms of anxiety in elite athletes indirectly through mediation by FVE and Neuroticism.
Coterminal families and the strong Markov property

1. Let Q be the set of right continuous paths mapping [0, oo) into (£A, p), where £ is a locally compact, separable metric space with metric p and £A = EKJ {A}, {A} the point at infinity. Following the notation of [1], we let X = (Q, Xn &, &t>Qty P ) be a strong Markov process with stationary transition probabilities on (£A, p\ and we use 38 and 08^ to denote the (T-fields of Borel sets on E and £A respectively. The cr-fields {3Ft, 0 ^ t} are assumed to be right continuous. Finally we assume a fixed initial distribution /*, and all a.s. statements will refer to P = J£A ii{dx)P . The purpose of this note is to outline a type of strong Markov property for a class of random times, resembling last exit times from sets. To motivate the problem, write the strong Markov property at a stopping time T as
Coping with Relocation: The Impact of Coping Strategies on Health and Adjustment upon Residential Change.

ABSTRACT People who decide or are forced to relocate often undergo a lengthy waiting period before they can move. This waiting period may be a highly stressful time for individuals anticipating relocation. This study explored relocating older adults' (N=63) coping strategies and the impact of these strategies on health, cognitive functioning, and well being. Older adults awaiting relocation to subsidized, age-segregated apartments were interviewed prior to relocation; 54 respondents were interviewed again 9 to 12 months later when approximately one-half of the subjects had moved. Interviews focused on the effects and meaning of the anticipatory period on health, functioning, morale, attitudes, and daily activities. The results support the hypothesis that respondents who appraised relocation as stressful would use different coping strategies than respondents who perceived the experience to be non-stressful. The former subgroup was more likely to use emotion-focused techniques. Among subjects who weia still anticipating relocation at the time of the second interview, emotion-focused techniques were used more often than were problem-focused techniques. Relocated and non-relocated suhiects did not differ in terms of their use of emotion-focused techniques. Most respondents used multiple techniques to cope with relocation. No one technique was found to be superior to others, or to facilitate higher morale or psychological well-being, although the use of problem-focused strategies was predictive of health and adjustment among the relocated respondents. Subjects appeared to employ complex coping strategies with a high rate of success. (NB)
Spring 5-1-2018 Minimization Techniques for Symbolic Automata

Symbolic finite automata (SFAs) are generalizations of classical finite state automata. Whereas the transitions of classical automata are labeled by characters from some alphabet, the transitions of symbolic automata are labeled by predicates over a Boolean algebra defined on the alphabet. This allows for SFAs to be efficiently constructed over extremely large, and possibly infinite, alphabets. This thesis examines an existing incremental algorithm for the minimization of deterministic finite automata. Several extensions of this algorithm to deterministic symbolic automata are introduced. Although more efficient algorithms already exist for deterministic SFA minimization, the presented algorithms are uniquely designed to minimize an automaton incrementally. That is, the algorithms may be halted at any time, for computations to be run on a partially minimized SFA that accepts the same language as the input, and then resumed later.
UvA-DARE (Digital Academic Repository) Prediction-based auto-scaling of scientific workflows

In this paper we propose a novel method for auto-scaling data-centric workﬂow tasks. Scaling is achieved through a prediction mechanism where the input data load on each task within a workﬂow is used to compute the estimated task execution time. Through load prediction, the frame-work can take informed decisions on scaling multiple workﬂow tasks independently to improve overall throughput and reduce workﬂow bottlenecks. This method was implemented in the WS-VLAM workﬂow system and with an image analyses workﬂow we show that this technique achieves faster data processing rates and reduces overall workﬂow makespan.
Talent Management: A Review of Theoretical Perspectives and a Guideline for Practioners

Today’s knowledge-intensive business environment elevates the importance of human resources to being rare and inimitable resources. A resource-based view (RBV) holds that organizations can gain competitive advantage by utilizing available rare and inimitable resources and that motivates practioners and scholars to focus on talent management (TM). In TM field, it is mostly stated that there is a lack of clarity on dimensions, definitions and theoretical framework of TM. Although RBV is predominantly underpins the talent management field as a theoretical lens, but also new theoretical perspectives are proposed to fill the theoretical gap in the field. Thus, this study aims to contribute to the field by discussing the existing perspectives and approaches. Subsequently, TM practices are provided in its processes; defining, developing and retaining
Approximate Program q : quality loss level β : confidence interval S : Success rate Quality Control Knob Training Data Core Classifer statistical optimization Instrument Statistical Optimizer hardware classification Input Datasets Accelerator training Data Collector Classier Training Algorithm Table

Conventionally, an approximate accelerator replaces every invocation of a frequently executed region of code without considering the final quality degradation. However, there is a vast decision space in which each invocation can either be delegated to the accelerator—improving performance and efficiency–or run on the precise core—maintaining quality. In this paper we introduce MITHRA, a co-designed hardware-software solution, that navigates these tradeoffs to deliver high performance and efficiency while lowering the final quality loss. MITHRA seeks to identify whether each individual accelerator invocation will lead to an undesirable quality loss and, if so, directs the processor to run the original precise code. This identification is cast as a binary classification task that requires a cohesive co-design of hardware and software. The hardware component performs the classification at runtime and exposes a knob to the software mechanism to control quality tradeoffs. The software tunes this knob by solving a statistical optimization problem that maximizes benefits from approximation while providing statistical guarantees that final quality level will be met with high confidence. The software uses this knob to tune and train the hardware classifiers. We devise two distinct hardware classifiers, one table-based and one neural network based. To understand the efficacy of these mechanisms, we compare them with an ideal, but infeasible design, the oracle. Results show that, with 95% confidence the table-based design can restrict the final output quality loss to 5% for 90% of unseen input sets while providing 2.5× speedup and 2.6× energy efficiency. The neural design shows similar speedup however, improves the efficiency by 13%. Compared to the table-based design, the oracle improves speedup by 26% and efficiency by 36%. These results show that MITHRA performs within a close range of the oracle and can effectively navigate the quality tradeoffs in approximate acceleration. Keywords-Approximate computing, accelerators, quality control, statistical guarantees, statistical compiler optimization
Selection for Eldana saccharina Borer Resistance in Early Stages of Sugarcane Breeding in South Africa

Eldana saccharina (eldana) is the most wide-spread sugarcane borer in South Africa and causes losses estimated at US$90 million. Breeding for resistance started in 1980. The objectives of this study were to examine the potential of evaluating sugarcane families and parents by using data collected from the seedling stage (Stage I) and determine the potential of using logistic regression models in Stage II to enhance breeding for eldana resistance. Data were collected from Stage I trials (BML12 and FML13) at Bruyns Hill and Pongola research stations, respectively, and Stage II (BSL12 and SSL12) at Bruyns Hill and Glenside research stations, respectively. There were significant family effects for BML12 (P = 0.0029) and FML13 (P = 0.0003) indicating families with low eldana dame could be selected. Family variance for BML12 (P = 0.0144) and FML13 (P = 0.0878) were significant indicating large variability. Broad sense heritability of 0.52 (BML12) and 0.51 (FML13) indicated the effectiveness of selecting elite families. The predicted gains were 19.93% (BSL12) and 68.89% (FML13) indicating the value of family selection. The results showed significant female effects (BML12, P = 0.0017; FML13, P = 0.0041) indicating the dominance of maternal effects and suggested additive genetic control. Significant Female x Male interaction effect (FML13, P = 0.0442) suggested existence of non-additive genetic effects. Logistic regression analysis results showed significant (BSL12, P < 0.0001; SSL12, P = 0.0232) suggesting selecting for eldana was effective. Sensitivity analysis validated discriminating ability for eldana damage. Adopting family selection and logistic regression models would enhance breeding for eldana resistance.
Virtual reality as empowering environment for personal change: the contribution of the applied tech

When we exercise real choice, we gain increased control over our lives and are able to change ourselves. However for many subjects it is not easy to exercise effective choices: patients often don�t have the knowledge, skills, assertiveness, or self esteem needed. In this situation Virtual Reality (VR), an artificial reality that projects the user into a 3D space generated by the computer, may offer a critical advantage to the therapist. The enriched experience and the total level of control on its features, transform VR in an �empowering environment�, where patients can start to explore and act without feeling actually threatened. The attempt of defining, developing and testing VR tools supporting personal empowerment is the main goal of the Applied Technology for Neuro-Psychology Laboratory �ATN-P Lab� at the Istituto Auxologico Italiano. The paper describes the actual work done by the ATN-P Lab. in this area. Specifically, the open source "NeuroVR" system and its potential clinical applications �anxiety disorders, obesity and eating disorders� are presented and discussed.
Mapping Pure Mangrove Patches in Small Corridors and Sandbanks Using Airborne Hyperspectral Imagery

Taijiang National Park (TNP) of Taiwan is the northernmost geographical position of mangrove habitats in the Northern Hemisphere. Instead of occupying a vast region with a single species, the mangroves in TNP are usually mingled with other plants in a narrow corridor along the water or in groups on a small sandbank. The multi-spectral images acquired from the spaceborne platforms are therefore limited in mapping the abundance and distribution of the mangrove species in TNP. We report the work of mapping pure mangrove patches in small corridors and sandbanks in TNP using airborne Compact Airborne Spectrographic Imager (CASI) hyperspectral imagery. Bu considering the similarity of spectral reflectance among three species of mangrove and other plants, we followed the concept of supervised classification to select a few training areas with known mangrove trees, where the training areas are determined from the detailed map of mangrove distribution derived from the field investigation. The Hourglass hyperspectral analysis technique was employed to identify the endmembers of pure mangrove in the training areas. The results are consistent with the current distribution of mangrove trees, and the remarkable feature of a “mangrove desert” highlights a fact that biodiversity can be easily and quickly destroyed if no protection is provided. Some remnant patches located by this research are very important to the management of mangrove trees.
Optimal Scheduling and Real-Time Control Schemes of Battery Energy Storage System for Microgrids Considering Contract Demand and Forecast Uncertainty

Optimal operation of the battery energy storage system (BESS) is very important to reduce the running cost of a microgrid. Rolling horizon-based scheduling, which updates the optimal decision based on the latest information, is widely applied to microgrid operation. In this paper, the optimal scheduling of a microgrid, considering the energy cost, demand charge, and the battery wear-cost, is formulated as a mixed integer linear programming (MILP) problem. This paper also deals with two practical and important issues when applying the rolling-horizon strategy to BESS scheduling. First, to mitigate the high dependency of the load forecast on the latest information, a confidence weight parameter method is proposed. Second, a new target state of charge (SOC) assignment method is proposed to avoid the depletion of BESS and to reduce the wear-cost of the battery. In addition to the optimal scheduling, a novel real-time control scheme is proposed to mitigate the effect of the forecast uncertainty. The performance of the proposed methods is tested with data measured from a campus microgrid.
Latitudinal regionalization of epibenthic macroinvertebrate communities on rocky reefs in the Gulf of California

ABSTRACT We report on a latitudinal pattern in the structure and species composition of epibenthic macroinvertebrate communities on rocky reefs along a gradient of eight degrees of latitude in the Gulf of California. We provide quantitative evidence of a prominent shift in the taxa dominating these communities, particularly the sessile taxa (Cnidaria, Bivalvia, Annelida, Ascidiacea and Porifera). This pattern was not found in non-sessile taxa (Echinodermata, Decapoda, Cephalopoda, Gastropoda and Polycladida). Based on Bray–Curtis similarity and indicator species analysis we found that the macroinvertebrates of rocky reefs in the Gulf of California are distributed in three broad regions, indicating that sessile taxa are creating such a structure and are related to environmental changes tied to latitude. The northern region (>28° N) was a temperate zone with the coolest water in winter and highest chlorophyll a concentrations, where Octocorallia of the genus Muricea were the dominant taxa. The central region (∼24–28° N) had a mix of oceanographic features of the northern and southern regions and was dominated by Echinodermata in terms of species richness and density. The southern region (<24° N) is a subtropical zone with typically warm and clear water, and dominated by Hexacorallia (stony corals). The southern area was less diverse and had lower densities than the central and northern areas. These three communities correspond to known oceanographic discontinuities in the Gulf of California. This implies that future coastal management plans and conservation efforts in the Gulf of California must be regionalized to support their distinct ecological communities.
12 Attachment and Aged Care

Approximately 524 million people are over the age of 65, and by the year 2050, this figure will rise to 1.5 billion (National Institute on Aging [NIA], 2011; World Health Organization [WHO], 2012). Furthermore, about 80% of people within this age group report having at least one chronic health condition (National Center for Chronic Disease Prevention and Health Promotion, 2011). Because of these trends, the aging of the population has introduced new challenges for couples and families regarding the care of ailing older adults. No longer is aged care the primary responsibility of the state or government. Instead, family members (whether these are aging adults’ spouses/partners, or grown children and their partners) are increasingly becoming the primary carers of aging adults, as federal and state governments in most parts of the globe struggle to meet the health care demands of their aging societies (Karantzas, Evans, & Foddy, 2010; NIA, 2011; WHO, 2012). In the coming decades, caring for an older adult is likely to become a normal life task for many—and perhaps most—adult children and their spouses. Caring for an older person, however, is a highly stressful and challenging responsibility, even for family members; it involves coming to terms with the eventual decline and ultimate loss of someone who often has been a primary source of love, comfort, and support across a carer’s entire life. From this perspective, attachment theory (Bowlby, 1969/1982) provides a particularly useful and powerful framework for understanding the processes of caregiving and care receiving, as well as the mental health outcomes experienced by both carers and care recipients. Because it is a lifespan theory of development,
The Significance of Mesophilic Aeromonas spp. in Minimally Processed Ready-to-Eat Seafood

Minimally processed and ready-to-eat (RTE) seafood products are gaining popularity because of their availability in retail stores and the consumers’ perception of convenience. Products that are subjected to mild processing and products that do not require additional heating prior to consumption are eaten by an increasing proportion of the population, including people that are more susceptible to foodborne disease. Worldwide, seafood is an important source of foodborne outbreaks, but the exact burden is not known. The increased interest in seafood products for raw consumption introduces new food safety issues that must be addressed by all actors in the food chain. Bacteria belonging to genus Aeromonas are ubiquitous in marine environments, and Aeromonas spp. has held the title “emerging foodborne pathogen” for more than a decade. Given its high prevalence in seafood and in vegetables included in many RTE seafood meals, the significance of Aeromonas as a potential foodborne pathogen and a food spoilage organism increases. Some Aeromonas spp. can grow relatively uninhibited in food during refrigeration under a broad range of pH and NaCl concentrations, and in various packaging atmospheres. Strains of several Aeromonas species have shown spoilage potential by the production of spoilage associated metabolites in various seafood products, but the knowledge on spoilage in cold water fish species is scarce. The question about the significance of Aeromonas spp. in RTE seafood products is challenged by the limited knowledge on how to identify the truly virulent strains. The limited information on clinically relevant strains is partly due to few registered outbreaks, and to the disputed role as a true foodborne pathogen. However, it is likely that illness caused by Aeromonas might go on undetected due to unreported cases and a lack of adequate identification schemes. A rather confusing taxonomy and inadequate biochemical tests for species identification has led to a biased focus towards some Aeromonas species. Over the last ten years, several housekeeping genes has replaced the 16S rRNA gene as suitable genetic markers for phylogenetic analysis. The result is a more clear and robust taxonomy and updated knowledge on the currently circulating environmental strains. Nevertheless, more knowledge on which factors that contribute to virulence and how to control the potential pathogenic strains of Aeromonas in perishable RTE seafood products are needed.