Miracle-dz/UniFAR-FTUs huggingface dataset:
Phenotypic plasticity, population structure and adaptation in a young weed species with a worldwide distribution

The colonization success of a species depends on phenotypic plasticity, adaptive potential and population structure. Assessing their relative contributions during a colonization process is challenging, and a large-scale experiment had yet to be done. In this study, we attempted to tease apart their effects on the fitness of one of the most common plant on Earth, the shepherd’s purse (Capsella bursa-pastoris), a self-fertilizing and allopolyploid weed, with a worldwide distribution. The overarching goal is to eventually understand how the shepherd’s purse extensive distribution range was established so rapidly. To do so, we carried out three common gardens, located in Europe, Asia and North America, and measured several life-history traits on field-collected accessions belonging to three distinct genetic clusters (Middle East, Europe, and Asia). Our experiment showed that (i) the success of C. bursa-pastoris is mainly due to its high degree of phenotypic plasticity; and (ii), genetic cluster effect reflected a classic pattern observed in core vs marginal populations, with the Middle Eastern cluster (putative core population) outperforming the European and Asian clusters. This study therefore revealed, in a model species, different relative contributions of plasticity and adaptation to fitness, depending on the population and the time since colonization occurred.
Protein Kinases Mediate Anti-Inflammatory Effects of Cannabidiol and Estradiol Against High Glucose in Cardiac Sodium Channels

Background and purpose Cardiovascular anomalies are predisposing factors for diabetes-induced morbidity and mortality. Recently, we showed that high glucose induces changes in the biophysical properties of Nav1.5 that could be strongly correlated to diabetes-induced arrhythmia. However, the mechanisms underlying hyperglycemia-induced inflammation, and how inflammation provokes cardiac arrhythmia, are not well understood. We hypothesized that inflammation could mediate the high glucose-induced biophyscial changes on Nav1.5 through protein phosphorylation by protein kinases A and C. We also hypothesized that this signaling pathway is, at least partly, involved in the cardiprotective effects of CBD and E2. Experimental approach To test these ideas, we used Chinese hamster ovarian (CHO) cells transiently co-transfected with cDNA encoding human Nav1.5 α-subunit under control, a cocktail of inflammatory mediators or 100 mM glucose conditions (for 24 hours). We used electrophysiological experiments and action potential modelling. Key Results Inflammatory mediators, similar to 100 mM glucose, right shifted the voltage dependence of conductance and steady state fast inactivation and increased persistent current leading to computational prolongation of action potential (hyperexcitability) which could result in long QT3 arrhythmia. In addition, activators of PK-A or PK-C replicated the inflammation-induced gating changes of Nav1.5. Inhibitors of PK-A or PK-C, CBD or E2 mitigated all the potentially deleterious effects provoked by high glucose/inflammation. Conclusions and implications These findings suggest that PK-A and PK-C may mediate the anti-inflammatory effects of CBD and E2 against high glucose-induced arrhythmia. CBD, via Nav1.5, may be a cardioprotective therapeutic approach in diabetic postmenopausal population. Bullet points What is already known: Arrhythmias are among the common cardiac causes of morbidity and mortality in diabetes-related hyperglycemia. One of the diabetes-induced arrhythmias is long-QT syndrome, caused by gating defects in the cardiac voltage-gated sodium channel (Nav1.5). What this study adds: Inflammation and subsequent activation of PK-A and PK-C mediate the high glucose-induced electrophysiological changes of Nav1.5 in a manner consistent with the gating defects that underlie long-QT arrhythmia. Cannabidiol and estradiol rescue the high glucose induced Nav1.5 gating defects through, at least partly, this signaling pathway. Clinical significance: Inflammation/PK-A and PK-C signaling pathway could be a potential therapeutic target to prevent arrhythmias associated with diabetes. Cannabidiol may be a therapeutic approach to prevent cardiac complications in diabetes, especially in postmenopausal populations due to the decreased levels of the cardioprotective estrogen.
Managing Change with the Support of Smart Technology: A Field Investigation of Ride-Hailing Services

With the support of smart technology, IT-enabled services have become “smart” and have progressively disrupted existing markets. Ride-hailing services (RHSs) are widely regarded as representative of these IT-enabled services. However, few studies on IT-enabled services investigate how the technological attributes of smart technology influence service performance in a continuously changing environment. We developed our research model according to Wixom and Todd’s model, the literature on change management, and the literature on information system postadoption behavior. We conducted a large-scale field study by surveying 380 drivers from major metropolises in mainland China and a post hoc qualitative interpretation to validate our model. We found that smart technological attributes of RHS systems (i.e., monitoring, control, advisory support, and responsive support) positively influence functionality and content quality, which in turn influence service quality. In addition, service quality positively influences drivers’ postadoption attitudes and behaviors, including openness to RHS change, job satisfaction, and continuous usage intentions. Our findings provide important theoretical and practical implications.
Plot diversity differentially affects the chemical composition of leaves, roots and root exudates in four subtropical tree species

Plants produce thousands of compounds, collectively called the metabolome, which mediate interactions with other organisms. The metabolome of an individual plant may change according to the number and nature of these interactions. We tested the hypothesis that tree diversity level affects the metabolome of four subtropical tree species in a biodiversity ecosystem-functioning experiment, BEF-China. We postulated that the chemical diversity of leaves, roots and root exudates increases with tree diversity. We expected the strength of this diversity effect to differ among leaf, root and root exudates samples. Considering their role in plant competition, we expected to find the strongest effects in root exudates. In an ecometabolomics approach, roots, root exudates and leaves of four tree species (Cinnamomum camphora, Cyclobalanopsis glauca, Daphniphyllum oldhamii, Schima superba) were sampled from selected plots in BEF-China. Samples were extracted and analysed using Liquid Chromatography-Time of Flight-Mass Spectrometry. The exudate metabolomes were normalized over their non-purgeable organic carbon level. Multivariate analyses were applied to identify the effect of both neighbouring (local) trees and plot diversity on tree metabolomes. The species and sample specific metabolites were assigned to major compound classes using the ClassyFire tool, whereas m/z features related to diversity effects were annotated manually. Individual tree species showed distinct leaf, root and root exudate metabolomes. The main compound class in leaves were the flavonoids, whereas carboxylic acids, prenol lipids and specific alkaloids were most prominent in root exudates and roots. Overall plot diversity had a stronger effect on metabolome profiles than the diversity of local, directly neighbouring trees. Leaf metabolomes responded more often to tree diversity level than exudates, whereas root metabolomes varied the least. We found not overall correlation between metabolite richness or diversity and tree diversity. Synthesis: Classification of metabolites supported initial ecological interpretation of differences among species and organs. Particularly the metabolomes of leaves and root exudates respond to differences in tree diversity. These responses were neither linear nor uniform and individual metabolites showed different dynamics. More controlled interaction experiments are needed to dissect the causes and consequences of the observed shifts in plant metabolomes.
Type I and III IFNs produced by the nasal epithelia and dimmed inflammation are key features of alpacas resolving MERS-CoV infection

While MERS-CoV (Middle East respiratory syndrome Coronavirus) provokes a lethal disease in humans, camelids, the main virus reservoir, are asymptomatic carriers, suggesting a crucial role for innate immune responses in controlling the infection. Experimentally infected camelids clear infectious virus within one week and mount an effective adaptive immune response. Here, transcription of immune response genes was monitored in the respiratory tract of MERS-CoV infected alpacas. Concomitant to the peak of infection, occurring at 2 days post inoculation (dpi), type I and III interferons (IFNs) were maximally transcribed only in the nasal mucosa of alpacas, provoking the induction of interferon stimulated genes (ISGs) along the whole respiratory tract. Simultaneous to mild focal infiltration of leukocytes in nasal mucosa and submucosa, upregulation of the anti-inflammatory cytokine IL10 and dampened transcription of pro-inflammatory genes under NF-κB control were observed. In the lung, early (1 dpi) transcription of chemokines (CCL2 and CCL3) correlated with a transient accumulation of mainly mononuclear leukocytes. A tight regulation of IFNs in lungs with expression of ISGs and controlled inflammatory responses, might contribute to virus clearance without causing tissue damage. Thus, the nasal mucosa, the main target of MERS-CoV in camelids, is central in driving an efficient innate immune response based on triggering ISGs as well as the dual anti-inflammatory effects of type III IFNs and IL10. Author summary Middle East respiratory syndrome coronavirus (MERS-CoV) is the etiological agent of a respiratory disease causing high mortality in humans. In camelids, the main MERS-CoV reservoir host, viral infection leads to subclinical disease. Our study describes transcriptional regulations of innate immunological pathways underlying asymptomatic clinical manifestations of alpacas in response to MERS-CoV. Concomitant to the peak of infection, these animals elicited a strong transient interferon response and induction of the anti-inflammatory cytokine IL10 in the nasal mucosa. This was associated to a dimmed regulation of pro-inflammatory cytokines and induction of interferon stimulated genes along the whole respiratory mucosa, leading to the rapid clearance of the virus. Thus, innate immune responses occurring in the nasal mucosa appear to be the key in controlling MERS-CoV disease by avoiding a cytokine storm. Understanding on how asymptomatic host reservoirs counteract MERS-CoV infection will aid in the development of antiviral drugs and vaccines.
SABRE populates ER domains essential for cell plate maturation and cell expansion influencing cell and tissue patterning

The SABRE protein, originally identified in plants, is found throughout eukaryotes. In plants, SABRE has been implicated in cell expansion, division plane orientation and planar polarity. However, how SABRE mediates these processes remains an open question. Here, we have taken advantage of the fact that the bryophyte Physcomitrium patens has a single copy of SABRE, is an excellent model for cell biology and is readily amenable to precise genetic alterations to investigate SABRE’s mechanism of action. We discovered that SABRE null mutants were stunted in both polarized growing and diffusely growing tissues, similar to reported phenotypes in seed plants. However, in polarized growing cells, we observed significant delays in cell plate formation and sometimes catastrophic failures in cell division. We generated a functional SABRE fluorescent fusion protein and determined that it forms dynamic puncta on regions of the endoplasmic reticulum (ER) both in the cytoplasm during interphase and at the new cell plate during division. In the absence of SABRE, ER morphology was severely compromised with large aggregates accumulating in the cytoplasm and abnormal buckling along the developing cell plate late in cytokinesis. In fact, SABRE and the ER maximally accumulated on the developing plate specifically during cell plate maturation, coincident with the timing of the onset of failures in cell plate formation in cells lacking SABRE. Further we discovered that callose deposition is delayed in Δsabre cells, and in cells that failed to divide, abnormal callose accumulations formed at the cell plate. Our findings demonstrated that SABRE functions by influencing the ER and callose deposition, revealing a surprising and essential role for the ER in cell plate maturation. Given that SABRE is conserved, understanding how SABRE influences cell and tissue patterning has profound significance across eukaryotes.
Research Perspectives: The Anatomy of a Design Principle

This essay derives a schema for specifying design principles for information technology-based artifacts in sociotechnical systems. Design principles are used to specify design knowledge in an accessible form, but there is wide variation and lack of precision across views regarding their formulation. This variation is a sign of important issues that should be addressed, including a lack of attention to human actors and levels of complexity as well as differing views on causality, on the nature of the mechanisms used to achieve goals, and on the need for justificatory knowledge. The new schema includes the well-recognized elements of design principles, including goals in a specific context and the mechanisms to achieve the goal. In addition, the schema allows: (1) consideration of the varying roles of the human actors involved and the utility of design principles, (2) attending to the complexity of IT-based artifacts through decomposition, (3) distinction of the types of causation (i.e., deterministic versus probabilistic), (4) a variety of mechanisms in achieving aims, and (5) the optional definition of justificatory knowledge underlying the design principles. We illustrate the utility of the proposed schema by applying it to examples of published research.
PBio: Enabling Cross-organizational Biometric Authentication Service through Secure Sharing of Biometric Templates

Prior works in privacy-preserving biometric authentication mostly focus on the following setting. An organization collects users’ biometric data during registration and later authorized access to the organization services after successful authentication. Each organization has to maintain its own bio-metric database. Similarly each user has to release her biometric information to multiple organizations; Independently, government authorities are making their extensive, nation-wide biometric database available to agencies and organizations, for countries that allow such access. This will enable organizations to provide authentication without maintaining biometric databases, while users only need to register once. However privacy remains a concern. We propose a privacy-preserving system, PBio, for this new setting. The core component of PBio is a new protocol comprising distance recoverable encryption and secure distance computation. We introduce an encrypt-then-split mechanism such that each of the organizations holds only an encrypted partial biometric database. This minimizes the risk of template reconstruction in the event that the encrypted partial database is recovered due to leak of the encryption key. PBio is also secure even when the organizations collude. A by-product beneﬁt is that the use of encrypted partial templates allows quicker rejection for non-matching instances. We implemented a cloud-based prototype with desk-top and Android applications. Our experiment results based on real remote users show that PBio is highly efﬁcient. A round-trip authentication takes approximately 74ms (desktop) and 626ms (
Does IT Improve Revenue Management in Hospitals?

In this study, we examine the question of how the adoption of IT systems influences revenue management in hospitals. We posit that IT plays a vital role in enhancing revenue by increasing net patient revenue and decreasing the uncompensated care ratio. Using unique datasets from various proprietary resources, we test the relationships between IT (clinical and business) investment and revenue management performance using dynamic panel data models with the generalized method of moments (GMM). Empirical results generally support our hypotheses. We found that both clinical and business IT investment have short-term and long-term effects on boosting net patient revenue and that clinical IT investment has a short-term contemporaneous effect on reducing the uncompensated care ratio. Moderation analyses suggest that: (1) larger hospitals tend to utilize business IT systems better in facilitating revenue management through both channels over the long run, but not necessarily using clinical IT; and (2) for-profit hospitals outperform their nonprofit counterparts when it comes to managing revenues through clinical IT; however, no interaction effect with business IT was found. This paper contributes to the literatures on the business value of IT investment and healthcare IT in the fields of information systems, revenue management, healthcare administration. We conclude this paper by discussing theoretical and managerial implications.
Resource Estimation of Grovers-kind Quantum Cryptanalysis against FSR based Symmetric Ciphers

In this paper, we present a detailed study of the cost of the quantum key search attack using Grover. We consider the popular Feed-back Shift Register (FSR) based ciphers Grain-128-AEAD, TinyJAMBU, LIZARD, and Grain-v1 considering the NIST’s MAXDEPTH depth restriction. We design reversible quantum circuits for these ciphers and also provide the QISKIT implementations for estimating gate counts. Our re-sults show that cryptanalysis is possible with gates count less than 2 170 . In this direction, we also study the scenario where initial keystreams may be discarded before using it for encryption so that the Grovers attack on key search becomes costly in terms of circuit repetition. Finally, we connect Grover with BSW sampling for stream ciphers with low sampling resistance. We implement this attack on LIZARD (secret key size of 120 bits, state 121 bits, and security equivalent to 80 bits) and successfully recover the internal states with 2 40 . 5 queries to the cryptographic oracle and 2 40 amount of data. Our results provide a clear view of the exact status of quantum cryptanalysis against FSR based symmetric ciphers.
Integration of On-Premises and Cloud-Based Software: The Product Bundling Perspective

Firms in the cloud-computing era are facing the critical issue of integrating on-premises software and cloud-based software services. To date, the software industry has designed two different types of integration methods—an enterprise service bus (ESB) and an integration platform as a service (iPaaS). However, there are conflicting views on when and how to use these different integration methods to fulfill integration needs. This study aims to resolve this confusion through economic modeling. By focusing on the indirect network effect and following a two-product bundling framework, we establish a stylized model to investigate optimal pricing and bundling decisions and the best integration choice. Our findings contradict common perceptions that an iPaaS is the better choice for integration and show that firms can derive higher value by adopting ESB to integrate on-premises software and cloud-based software services. Conceptually, given that the overall network value received from a cloud-based software service is higher, the use of ESB can contribute toward significantly improving the total value of the two software applications. We also find that unbundling is the best marketing strategy for firms because software integration can improve the valuation of individual software. Our findings have important implications for software vendors. They suggest that vendors can leverage a higher network value from the software service by integrating it with on-premises software applications through ESB rather than iPaaS and eventually realize higher profits by extracting more value from consumers. Since integration increases the value of individual products, vendors should sell them separately instead of offering them as a bundle.
An Analytic Attack Against ARX Addition Exploiting Standard Side-Channel Leakage

In the last few years a new design paradigm, the so-called ARX (modular addition, rotation, exclusive-or) ciphers, have gained popularity in part because of their non-linear operation’s seemingly ‘inherent resilience’ against Differential Power Analysis (DPA) Attacks: the non-linear modular addition is not only known to be a poor target for DPA attacks, but also the computational complexity of DPA-style attacks grows exponentially with the operand size and thus DPA-style attacks quickly become practically infeasible. We however propose a novel DPA-style attack strategy that scales linearly with respect to the operand size in the chosen-message
Visual-Inertial State Estimation Based on PSO-BPNN UKF

In recent decades, the integrated Visual-Inertial Odometry (VIO) system has frequently used for accurate and efficient ego-motion estimation of many autonomous vehicles. In order to obtain navigation results by high accuracy in the VIO, Unscented Kalman Filter (UKF) has been proposed as an optimization-based approach by some studies. UKF can overcome the error accumulation and the Jacobian matrixes calculation that they are limitations of Extended KF (EKF). In this paper an improved UKF is presented that it is combined with the combination of Particle Swarm Optimization (PSO) and Back Propagation Neural Network (BPNN). In this combined approach, in order to correct the navigation parameters, the prediction values of PSO-BPNN can be used by UKF. The experimental navigation results have been utilized to show the effectiveness of VIO based on PSO-BPNN UKF against the VIO based on traditional UKF in well-known KITTI dataset.
Detecting Highway Code Violations using Artificial Intelligence

In this paper, we propose the use of autonomous law enforcement systems to aid in detecting highway code violations. Currently, the only way to enforce the law is to have an on-site official. This method tends to be very costly and allows multiple violations to go unnoticed. In turn, this reduces the efficacy of highway code enforcement. Automated law enforcement should fill this gap by reducing unnoticed contraventions which in turn contributes to safer driving and possibly reduces accidents. This research proposes the use of a Convolutional Neural Network (CNN) for object detection using two custom-made datasets for vehicles and STOP signs. This combination is used to identify a STOP sign and detect any vehicles passing over it without stopping. Our solution managed to detect 100% of STOP sign violations and non-violations in a real-life environment. The model for detecting the cars object and the STOP sign achieved an overall accuracy of 87.8% and 91.4% respectively.