Miracle-dz/UniFAR-FTUs huggingface dataset:
The history and geography of diversification within the butterfly genus Lycaeides in North America

The Lycaeides butterfly species complex in North America consists of two nominal, morphologically defined species. These butterflies are ecologically diverse and appear to be distributed as a geographically complex mosaic of locally differentiated populations that may be undergoing adaptive radiation. We asked whether patterns of molecular genetic variation within the species complex are congruent with currently recognized morphological species and whether the distribution of molecular variation is consistent with the hypothesis that Pleistocene climate changes contributed to the process of differentiation within the genus. Variation in the form of the genitalia from 726 males from 59 populations clearly distinguishes both species with only six populations containing morphologically intermediate or ambiguous individuals. However, partitioning of molecular variance in a 236 bp section of the mitochondrial AT‐rich region from 628 individuals (57 populations) surveyed using single strand conformation polymorphism analysis (SSCP) indicates that only 26% of the total genetic variation is distributed along nominal species boundaries as defined by morphology. Instead, three phylogeographical groups were detected, represented by three major haplotype clades, which account for 90% of the total genetic variance. Pleistocene glaciations appear to have fostered divergence during glacial maxima, while postglacial range expansions created opportunities for gene exchange and reticulation along suture zones between geographical groups. Data presented here allow us to make inferences about the history of the species complex. However, evidence of ancestral polymorphism and reticulation limit our ability to define species boundaries based on mitochondrial DNA sequence variation.
Particle-Associated Differ from Free-Living Bacteria in Surface Waters of the Baltic Sea

Many studies on bacterial community composition (BCC) do not distinguish between particle-associated (PA) and free-living (FL) bacteria or neglect the PA fraction by pre-filtration removing most particles. Although temporal and spatial gradients in environmental variables are known to shape BCC, it remains unclear how and to what extent PA and FL bacterial diversity responds to such environmental changes. To elucidate the BCC of both bacterial fractions related to different environmental settings, we studied surface samples of three Baltic Sea stations (marine, mesohaline, and oligohaline) in two different seasons (summer and fall/winter). Amplicon sequencing of the 16 S rRNA gene revealed significant differences in BCC of both bacterial fractions among stations and seasons, with a particularly high number of PA operational taxonomic units (OTUs at genus-level) at the marine station in both seasons. “Shannon and Simpson indices” showed a higher diversity of PA than FL bacteria at the marine station in both seasons and at the oligohaline station in fall/winter. In general, a high fraction of bacterial OTUs was found exclusively in the PA fraction (52% of total OTUs). These findings indicate that PA bacteria significantly contribute to overall bacterial richness and that they differ from FL bacteria. Therefore, to gain a deeper understanding on diversity and dynamics of aquatic bacteria, PA and FL bacteria should be generally studied independently.
The Shifting Border Between Perception and Cognition

The distinction between perception and cognition has always had a firm footing in both cognitive science and folk psychology. However, there is little agreement as to how the distinction should be drawn. In fact, a number of theorists have recently argued that, given the ubiquity of top-down influences (at all levels of the processing hierarchy), we should jettison the distinction altogether. I reject this approach, and defend a pluralist account of the distinction. At the heart of my account is the claim that each legitimate way of marking a border between perception and cognition deploys a notion I call ‘stimulus-control. ’ Thus, rather than being a grab bag of unrelated kinds, the various categories of the perceptual are unified into a superordinate natural kind (mutatis mutandis for the complementary categories of the cognitive).
Organizing for Innovation: Managing the Coordination-Autonomy Dilemma in Technology Acquisitions

Large, established firms acquiring small, technology-based firms must manage them so as to both exploit their capabilities and technologies in a coordinated way and foster their exploration capacity by preserving their autonomy. We suggest that acquirers can resolve this coordination-autonomy dilemma by recognizing that the effect of structural form on innovation outcomes depends on the developmental stage of acquired firms’ innovation trajectories. Structural integration decreases the likelihood of introducing new products for firms that have not launched products before being acquired and for all firms immediately after acquisition, but these effects disappear as innovation trajectories evolve.
Competing for Securities Underwriting Mandates: Banking Relationships and Analyst Recommendations

We investigate directly whether analyst behaviour influenced the likelihood of banks winning underwriting mandates for a sample of 16,625 US debt and equity offerings sold between December 1993 and June 2002. We control for the strength of the issuer’s investment-banking relationships with potential competitors for the mandate, prior lending relationships, and the endogeneity of analyst behaviour and the bank’s decision to provide analyst coverage. Contrary to recent allegations, we find no evidence that aggressive analyst recommendations or recommendation upgrades increased a bank’s probability of winning an underwriting mandate once we control for analysts’ career concerns. In fact, the opposite appears to be the case. We interpret this finding as evidence that credibility is central to resolving information frictions associated with securities offerings. Overly aggressive analyst behaviour undermines credibility.
Automatic dendritic spine detection using multiscale dot enhancement filters and SIFT features

Statistical characterization of morphological changes of dendritic spines is becoming of crucial interest in the field of neurobiology. Automatic detection and segmentation of dendritic spines promises significant reductions on the time spent by the scientists and reduces the subjectivity concerns. In this paper, we present two approaches for automated detection of dendritic spines in 2-photon laser scanning microscopy (2pLSM) images. The first method combines the idea of dot enhancement filters with information from the dendritic skeleton. The second method learns an SVM classifier by utilizing some pre-labeled SIFT feature descriptors and uses the classifier to detect dendritic spines in new images. For the segmentation of detected spines, we employ a watershed-variational segmentation algorithm. We evaluate the proposed approaches by comparing with manual segmentations of domain experts and the results of a noncommercial software, NeuronIQ. Our methods produce promising detection rate with high segmentation accuracy thus can serve as a useful tool for spine analysis.
On the physics of rate-distortion theory

We revisit and extend the physical interpretation recently given to a certain identity between large-deviations rate-functions, as well as applications of this identity to rate-distortion theory, as an instance of thermal equilibrium between several physical systems that are brought into contact. Our new interpretation, of mechanical equilibrium between these systems, is shown to have several advantages. This physical point of view also provides a trigger to the development of certain new alternative representations of the rate-distortion function and channel capacity.
Order and type as measures of growth for convex or entire functions

1. Introduction 2. Order and type in classical complex analysis 3. Relative order and type of convex functions 4. Order and type in duality 5. The infimal convolution 6. The order of an entire function 7. A geometric characterisation of the relative order 8. An extension problem for holomorphic functions 9. Whittaker's decomposition theorem 10. Inequalities for the infimal convolution 11. Inequalities for the infimal convolution, one variable 12. The type of an entire function References
Komparasi Model Pembelajaran Konstruktivis Metakognitif Dan Konstruktivis Novick Terhadap Berpikir Kritis Ditinjau Dari Kemampuan Akademik

The purpose of this study was to investigate, (1) the influence of constructivist metacognitive model compared to constructivist novick, and conventional model toward critical thinking, (2) the influence of academic achievement toward critical thinking, and (3) interaction of learning model and academic achievement toward critical thinking. The sample of this study consisted of 102 eleventh grade student from 3 state senior high schools in Surakarta. The method used in this study is a quasi-experimental research Pretest-Posttest, Non-Equivalent Control Group Design. Anacova was used to analyze the data. Critical thinking test was administered to the experimental and the control group as pre and post-tests to measure the critical thinking. The result showed that, (1) constructivist metacognitive and constructivist novick are not significantly different but those are significantly different from the conventional model toward critical thinking, (2) Upper academic students have higher critical thinking than lower academic students, (3) There is not interaction of learning model and academic achievement toward critical thinking
Entrepreneurship in a Transition Economy: The Impact of Environment on Entrepreneurial Orientation

Abstract The paper intends to shed some light on the impact of business environment on entrepre-neurial orientation in a transition economy. It presents the basic results of an empirical survey of some business environment factors of entrepreneurial orientation development on the basis of in-dividual evaluations. The survey data was collected by interviews with Bulgarian micro-firms en-trepreneurs. Entrepreneurial orientation was operationalized by five involved characteristics – risk taking, pro-activeness, innovativeness, autonomy and aggressive competitiveness. A specifically designed questionnaire asked respondents to rate their perception about each environmental char-acteristic considered as inherent to Bulgarian transition economy – hostility, dynamism and uncer-tainty. The hypotheses outlined in the study were tested by using canonical correlation model. En-trepreneurial orientation is increasingly being shaped by environmental forces especially in a tran-sition economy hence the study emphasizes the interrelation between environmental attributes and entrepreneurial orientation of Bulgarian micro-entrepreneurs. In this respect, the uncertainty induced by external environment is in the focus of the study as well as its main characteristics perceived by entrepreneurs. As a result it is concluded that SMEs development policy formulation should target the improvement of business environment and the provision of much more predictable and stimulat-ing conditions for the small businesses during continuing market transition.
Applying Multi-Sense Embeddings for German Verbs to Determine Semantic Relatedness and to Detect Non-Literal Language

Up to date, the majority of computational models still determines the semantic relatedness between words (or larger linguistic units) on the type level. In this paper, we compare and extend multi-sense embeddings, in order to model and utilise word senses on the token level. We focus on the challenging class of complex verbs, and evaluate the model variants on various semantic tasks: semantic classification; predicting compositionality; and detecting non-literal language usage. While there is no overall best model, all models significantly outperform a word2vec single-sense skip baseline, thus demonstrating the need to distinguish between word senses in a distributional semantic model.
N-glycosylation in Haloferax volcanii: adjusting the sweetness

Long believed to be restricted to Eukarya, it is now known that cells of all three domains of life perform N-glycosylation, the covalent attachment of glycans to select target protein asparagine residues. Still, it is only in the last decade that pathways of N-glycosylation in Archaea have been delineated. In the haloarchaeon Haloferax volcanii, a series of Agl (archaeal glycosylation) proteins is responsible for the addition of an N-linked pentasaccharide to modified proteins, including the surface (S)-layer glycoprotein, the sole component of the surface layer surrounding the cell. The S-layer glycoprotein N-linked glycosylation profile changes, however, as a function of surrounding salinity. Upon growth at different salt concentrations, the S-layer glycoprotein is either decorated by the N-linked pentasaccharide introduced above or by both this pentasaccharide as well as a tetrasaccharide of distinct composition. Recent efforts have identified Agl5–Agl15 as components of a second Hfx. volcanii N-glycosylation pathway responsible for generating the tetrasaccharide attached to S-layer glycoprotein when growth occurs in 1.75 M but not 3.4 M NaCl-containing medium.
Haemangiosarcoma in a captive Asiatic lion (Panthera leo persica)

A 2.7-year-old male captive Asiatic lion (Panthera leo persica) died unexpectedly without preceding symptoms. Gross necropsy revealed liver and lung tumours, which proved to be haemangiosarcomas by histopathology. Some of the liver tumours were ruptured, leading to massive intra-abdominal haemorrhage and death. Haemangiosarcomas are rare in domestic and exotic felids, occurring in skin, thoracic-abdominal cavity and bones. Although these tumours mainly appear to be occurring in older cats, they are sometimes observed in younger animals, as in the present case. This is the first description of haemangiosarcoma in a young Asiatic lion.
Bilateral sectioning of the anterior ethmoidal nerves does not eliminate the diving response in voluntarily diving rats

The diving response is characterized by bradycardia, apnea, and increased peripheral resistance. This reflex response is initiated by immersing the nose in water. Because the anterior ethmoidal nerve (AEN) innervates the nose, our hypothesis was that intact AENs are essential for initiating the diving response in voluntarily diving rats. Heart rate (HR) and arterial blood pressure (BPa) were monitored using implanted biotransmitters. Sprague‐Dawley rats were trained to voluntarily swim 5 m underwater. During diving, HR decreased from 480 ± 15 to 99 ± 5 bpm and BPa increased from 136 ± 2 to 187 ± 3 mmHg. Experimental rats (N = 9) then received bilateral AEN sectioning, while Sham rats (N = 8) did not. During diving in Experimental rats 7 days after AEN surgery, HR decreased from 478 ± 13 to 76 ± 4 bpm and BPa increased from 134 ± 3 to 186 ± 4 mmHg. Responses were similar in Sham rats. Then, during nasal stimulation with ammonia vapors in urethane‐anesthetized Experimental rats, HR decreased from 368 ± 7 to 83 ± 4 bpm, and BPa increased from 126 ± 7 to 175 ± 4 mmHg. Responses were similar in Sham rats. Thus, 1 week after being sectioned the AENs are not essential for initiating a full cardiorespiratory response during both voluntary diving and nasal stimulation. We conclude that other nerve(s) innervating the nose are able to provide an afferent signal sufficient to initiate the diving response, although neuronal plasticity within the medullary dorsal horn may be necessary for this to occur.
Hydrogen Sulfide Prevents Hydrogen Peroxide-Induced Activation of Epithelial Sodium Channel through a PTEN/PI(3,4,5)P3 Dependent Pathway

Sodium reabsorption through the epithelial sodium channel (ENaC) at the distal segment of the kidney plays an important role in salt-sensitive hypertension. We reported previously that hydrogen peroxide (H2O2) stimulates ENaC in A6 distal nephron cells via elevation of phosphatidylinositol 3,4,5-trisphosphate (PI(3,4,5)P3) in the apical membrane. Here we report that H2S can antagonize H2O2-induced activation of ENaC in A6 cells. Our cell-attached patch-clamp data show that ENaC open probability (PO) was significantly increased by exogenous H2O2, which is consistent with our previous finding. The aberrant activation of ENaC induced by exogenous H2O2 was completely abolished by H2S (0.1 mM NaHS). Pre-treatment of A6 cells with H2S slightly decreased ENaC PO; however, in these cells H2O2 failed to elevate ENaC PO. Confocal microscopy data show that application of exogenous H2O2 to A6 cells significantly increased intracellular reactive oxygen species (ROS) level and induced accumulation of PI(3,4,5)P3 in the apical compartment of the cell membrane. These effects of exogenous H2O2 on intracellular ROS levels and on apical PI(3,4,5)P3 levels were almost completely abolished by treatment of A6 cells with H2S. In addition, H2S significantly inhibited H2O2-induced oxidative inactivation of the tumor suppressor phosphatase and tensin homolog (PTEN) which is a negative regulator of PI(3,4,5)P3. Moreover, BPV(pic), a specific inhibitor of PTEN, elevated PI(3,4,5)P3 and ENaC activity in a manner similar to that of H2O2 in A6 cells. Our data show, for the first time, that H2S prevents H2O2-induced activation of ENaC through a PTEN-PI(3,4,5)P3 dependent pathway.
Probabilistic bisimilarities between quantum processes

Modeling and reasoning about concurrent quantum systems is very important both for distributed quantum computing and for quantum protocol verification. As a consequence, a general framework describing formally the communication and concurrency in complex quantum systems is necessary. For this purpose, we propose a model qCCS which is a natural quantum extension of classical value-passing CCS with the input and output of quantum states, and unitary transformations and measurements on quantum systems. The operational semantics of qCCS is given based on probabilistic labeled transition system. This semantics has many different features compared with the proposals in literature in order to describe input and output of quantum systems which are possibly correlated with other components. Based on this operational semantics, we introduce the notions of strong probabilistic bisimilarity and weak probabilistic bisimilarity between quantum processes and discuss some properties of them, such as congruence under various combinators.
Dynamics of Single Neuron Activity in Monkey Primary Motor Cortex Related to Sensorimotor Transformation

We investigated the dynamics of neuronal activity related to sensorimotor transformation during single experimental trials of a given stimulus–response (S-R) association task. A monkey was trained to perform wrist extension/flexion movements in the horizontal plane to align a pointer with a visual target while single unit activity in the primary motor cortex (MI) was being recorded. The stimulus was a colored light-emitting diode (LED) presented to either the left or right of a central reference point. The monkey had to point directly at the target (“compatible” S-R mapping) or point to the opposite side of the target position (“incompatible” S-R mapping), with the mapping rule specified by the color of the LED. Single neuron activities on the four correct trials (left/right stimulus × compatible/incompatible S-R mapping) were compared to determine whether such activities were more related to stimulus encoding and representation, to response preparation and execution, or to the “decision” processes translating the stimulus representation into a response representation. A novel mathematical technique, called LOCUS ANALYSIS, has been developed to quantitatively analyze and visualize the contribution of neuronal activity toward the sensory, motor, or sensorimotor (i.e., decisional) aspects of the task. Our data show that as a trial evolves, neuronal activity in MI, at a population level, is first correlated with the representation of the specific stimulus (the side of LED), then with the representation of the S-R mapping rule (the color of LED) as well as trial-specific S-R association (the conjunction of stimulus side and stimulus color), and finally with the representation of the behavioral response (extension or flexion wrist movement). Immediately after the issuance of the movement command, the populational activity in MI remains correlated with the trial-specific stimulus-response conjunctions, i.e., the context of the motor decision that the monkey has just made. Cells recorded successively in a single penetration tend to resemble each other in their pattern of firing on the four correct trials, suggesting a modular organization of neurons based on their functional role in the processing of the S-R association task. Our results indicate that MI belongs to a distributed network such that its neuronal activity reflects the underlying network dynamics that translate a stimulus representation into a response representation via the activation and application of appropriate S-R mapping rule.
“I Don’t Take My Tuba to Work at Microsoft”: Arts Graduates and the Portability of Creative Identity

Drawing on data from the Strategic National Arts Alumni Project (N = 13,581) and the Teagle Study of double majors (N = 1,736), we examine how arts alumni and students view their creative skills as transferable across contexts. Based on these preliminary analyses, we find that people with similar training interpret the relationship between their creativity and their work differently. We postulate that variations in creative identity may be one compelling explanation for these differences, which are not attributable solely to job type or to workplace context. Our results suggest, furthermore, that creative identity has both “portable” and “salient” dimensions. We conclude by discussing the implications of our findings for future research on the identity dimensions of creativity.
Multicopy Cache: A Highly Energy-Efficient Cache Architecture

Caches are known to consume a large part of total microprocessor energy. Traditionally, voltage scaling has been used to reduce both dynamic and leakage power in caches. However, aggressive voltage reduction causes process-variation-induced failures in cache SRAM arrays, thus compromising cache reliability. We present MultiCopy Cache (MC2), a new cache architecture that achieves significant reduction in energy consumption through aggressive voltage scaling while maintaining high error resilience (reliability) by exploiting multiple copies of each data item in the cache. Unlike many previous approaches, MC2 does not require any error map characterization and therefore is responsive to changing operating conditions (e.g., Vdd noise, temperature, and leakage) of the cache. MC2 also incurs significantly lower overheads compared to other ECC-based caches. Our experimental results on embedded benchmarks demonstrate that MC2 achieves up to 60% reduction in energy and energy-delay product (EDP) with only 3.5% reduction in IPC and no appreciable area overhead.