Miracle-dz/UniFAR-FTUs huggingface dataset:
Decay of nonlocality due to adiabatic and quantum noise in the solid state

We study the decay of quantum nonlocality, identified by the violation of the Clauser-Horne-Shimony-Holt (CHSH) Bell inequality, for two noninteracting Josephson qubits subject to independent baths with broadband spectra typical of solid state nanodevices. The bath noise can be separated in an adiabatic (low-frequency) and in a quantum (high-frequency) part. We point out the qualitative different effects on quantum nonlocal correlations induced by adiabatic and quantum noise. A quantitative analysis is performed for typical noise figures in Josephson systems. Finally we compare, for this system, the dynamics of nonlocal correlations and of entanglement.
IMPLEMENTATION MODEL INTERNET OF THINGS ON MICRO MEDIUM ENTERPRISE IN BEKASI REGIONAL

The purpose of this study is to identify the use of technology and analyze the influence of technology and the internet on the use of social media on Micro, Small and Medium Enterprises in the District Bekasi. The target to be achieved is to identify the use of technology and the internet on MSME actors and analyzethe influence of technology use on the use of social media on MSME actors. The Framework of Thought in this study proposes the development of the Technology Readiness Index (TRI) model consisting of Optimism, Innovativeness, Discomfort, as well as the Insecurity and Technology Acceptance Model (TAM) consisting of the proposed Perceived Ease of Use and Perceived Usefulness by Davis (1989) then combined by Putra (2017) and Rahman (2017) which influenced the use of Social Media by Micro, Small and Medium Enterprises (MSMEs) in Bekasi Regency. The respondents in this study consisted of micro, small and medium enterprises in Bekasi Regency who used Social Media in their businesses. The results of this study indicate that the respondent's monthly expenditure in the Jababeka Industrial Estate is more than 5 million with 40.3%. Respondents were grouped into expenditures under 1 million, 1-3 million, 3-5 million and more than 5 million.
On the computational modeling of the viscosity of colloidal dispersions and its relation with basic molecular interactions

The connection between fundamental interactions acting in molecules in a fluid and macroscopically measured properties, such as the viscosity between colloidal particles coated with polymers, is studied here. The role that hydrodynamic and Brownian forces play in colloidal dispersions is also discussed. It is argued that many-body systems in which all these interactions take place can be accurately solved using computational simulation tools. One of those modern tools is the technique known as dissipative particle dynamics, which incorporates Brownian and hydrodynamic forces, as well as basic conservative interactions. A case study is reported, as an example of the applications of this technique, which consists of the prediction of the viscosity and friction between two opposing parallel surfaces covered with polymer chains, under the influence of a steady flow. This work is intended to serve as an introduction to the subject of colloidal dispersions and computer simulations, for final-year undergraduate students and beginning graduate students who are interested in beginning research in soft matter systems. To that end, a computational code is included that students can use right away to study complex fluids in equilibrium.
The degeneracy of galaxy formation models

We develop a new formalism for modelling the formation and evolution of galaxies within a hierarchical universe. Similarly, to standard semi-analytical models we trace galaxies inside dark matter merger trees which are extracted from a large N-body simulation. The formalism includes treatment of feedback, star formation, cooling, smooth accretion, gas stripping in satellite galaxies and merger-induced starbursts. However, unlike in other models, each process is assumed to have an efficiency which depends only on the host halo mass and redshift. This allows us to describe the various components of the model in a simple and transparent way. By allowing the efficiencies to have any value for a given halo mass and redshift, we can easily encompass a large range of scenarios. To demonstrate this point, we examine several different galaxy formation models, which are all consistent with the observational data. Each model is characterized by a different unique feature: cold accretion in low-mass haloes, zero feedback, stars formed only in merger-induced bursts, and shutdown of star formation after mergers. Using these models we are able to examine the degeneracy inherent in galaxy formation models, and look for observational data that will help to break this degeneracy. We show that the full distribution of star formation rates in a given stellar mass bin is promising in constraining the models. We compare our approach in detail to the semi-analytical model of De Lucia & Blaizot. It is shown that our formalism is able to produce a very similar population of galaxies once the same median efficiencies per halo mass and redshift are being used. Consequently, our approach may be useful for comparing various published semi-analytical models within the same framework. We provide a public version of the model galaxies on our webpage along with a tool for running models with user-defined parameters. Our model is able to provide results for a 62.5 h ―1 Mpc box within just a few seconds.
Effect of Compost and Nano-Hydroxyapatite on Phosphorus Nutrition and some Properties of Calcareous Soil

Cultivation of calcareous soils faces many difficulties due to its properties, as it lacks organic matter, as well as low availability of nutrients, especially phosphorous. This study, using two cereal crops (wheat and barley) to study the effect of compost as a source of organic matter and nano- hydroxyapatite as a source of phosphorus onsome properties of calcareous soil and P content in plants. The main plots were compost (C) with three doses C 0 (without C), C 1 (12 ton/ha) and C 2 (24 ton/ha), the sub plots were different sources of phosphorous [the traditional P CaH 6 O 8 P 2 (S 0 ) and nano-hydroxyapatite (nHAP) with two rates of S 1 (1.5 g/L) and S 2 (3 g/L)]. The nano-hydroxyapatite is characterized by X-ray powder diffraction (X-ray), scanning electron microscopy (SEM). Obtained results stated that the biological yield, grain and straw of both wheat and barley were significantly increased with treatments as compared to C 0 and S 0 , especially with C 2 and S 2 . In addition, there is a positive trend between treatments rate and P contentin straw and grain of both crops, the maximum increase was observed with C 2 and S 2 . Also, the application of compost led to a change in soil chemical properties, pH wasdecreased at treatments applied and such decreases were proportional to treatments concentration increase. An opposite trend was observed with organic matter (OM) and available phosphorus. In addition, there is a positive and highly significant correlation between grain yield with P content in plants.
Query-answering in fuzzy temporal constraint networks

Temporal constraint networks are a well-known powerful formalism for encoding temporal knowledge based on the CSP techniques. A redefinition of metric temporal constraints to cope with vagueness of temporal relations based on fuzzy sets, called fuzzy temporal constraint networks has been proposed previously. In this paper the authors identify those queries on a fuzzy temporal constraint network relevant to a knowledge-based reasoning system. The authors provide definitions for their answering and explore the functions on which they are based by discussing the different choices for them. These results can be useful to those interested in defining a system for temporal reasoning under uncertainty. For instance, the authors satisfactorily applied them to the definition of a possibilistic temporal reasoning system. <<ETX>>
THE LINEARITY OF THE COSMIC EXPANSION FIELD FROM 300 TO 30, 000 km s−1 AND THE BULK MOTION OF THE LOCAL SUPERCLUSTER WITH RESPECT TO THE COSMIC MICROWAVE BACKGROUND

The meaning of “linear expansion” is explained. Particularly accurate relative distances are compiled and homogenized for (1) 246 Type Ia supernovae and 35 clusters with v < 30, 000 km s−1, and (2) relatively nearby galaxies with 176 tip of the red-giant branch and 30 Cepheid distances. The 487 objects define a tight Hubble diagram from 300–30, 000 km s−1 implying individual distance errors of ≲7.5%. Here the velocities are corrected for Virgocentric steaming (locally 220 km s−1) and—if v220 > 3500 km s−1—for a 495 km s−1 motion of the Local Supercluster toward the warm cosmic microwave background (CMB) pole at l = 275, b = 12; local peculiar motions are averaged out by large numbers. A test for linear expansion shows that the corrected velocities increase with distance as predicted by a standard model with q0 = −0.55 (corresponding to (ΩM, ΩΛ) = (0.3, 0.7)), but the same holds—due to the distance limitation of the present sample—for a range of models with q0 between ∼0.00 and −1.00. For these models H0 does not vary systematically by more than ±2.3% over the entire range. Local, distance-dependent variations are equally limited to 2.3% on average. In particular, the proposed Hubble Bubble of Zehavi et al. and Jha et al. is rejected at the 4σ level. Velocity residuals in function of the angle from the CMB pole yield a satisfactory apex velocity of 448 ± 73 km s−1 and a coherence radius of the Local Supercluster of ∼3500 km s−1 (∼56 Mpc), beyond which galaxies are seen on average at rest in comoving coordinates with respect to the CMB. Since no obvious single accelerator of the Local Supercluster exists in the direction of the CMB dipole, its motion must be due to the integral gravitational force of all surrounding structures. Most of the gravitational dipole probably come from within 5000 km s−1.
Multidisciplinary Collaboration for the Optimization of Antibiotic Prescription: Analysis of Clinical Cases of Pneumonia between Emergency, Internal Medicine, and Pharmacy Services

Background: Pneumonia is a lung parenchyma acute infection usually treated with antibiotics. Increasing bacterial resistances force the review and control of antibiotic use criteria in different health departments. Objective: Evaluate the adequacy of antibiotic treatment in community-acquired pneumonia in patients initially attended at the emergency department and then admitted to the internal medicine service of the Alto Deba Hospital—Osakidetza Basque Country Health Service (Spain). Methods: Observational, retrospective study, based on the review of medical records of patients with community-acquired pneumonia attended at the hospital between January and May 2021. The review was made considering the following items: antimicrobial treatment indication, choice of antibiotic, time of administration of the first dose, adequacy of the de-escalation-sequential therapy, duration of treatment, monitoring of efficacy and adverse effects, and registry in the medical records. The review was made by the research team (professionals from the emergency department, internal medicine, and pharmacy services). Results: Fifty-five medical records were reviewed. The adequacy of the treatments showed that antibiotic indication, time of administration of the first dose, and monitoring of efficacy and adverse effects were the items with the greatest agreement between the three departments. This was not the case with the choice of antibiotic, de-escalation/sequential therapy, duration of treatment, and registration in the medical record, which have been widely discussed. The choice of antibiotic was optimal in 63.64% and might have been better in 25.45%. De-escalation/oral sequencing might have been better in 50.91%. The treatment duration was optimal in 45.45% of the patients and excessive in 45.45%. Discussion: The team agreed to disseminate these data among the hospital professionals and to propose audits and feedback through an antibiotic stewardship program. Besides this, implementing the local guideline and defining stability criteria to apply sequential therapy/de-escalation was considered essential.
Development of Tetrapod Zinc Oxide-Based UV Sensor for Precision Livestock Farming and Productivity

In order to ensure the health and welfare of livestock, there has been an emphasis on precision farming of ruminant animals. Monitoring the life index of ruminant animals is of importance for intelligent farming. Here, a wearable sensor for monitoring ultraviolet (UV) radiation is demonstrated to understand the effect of primary and secondary photosensitization on dairy animals. Thin films of wide bandgap semiconductor zinc oxide (ZnO) comprising multilevel of nanostructures from microparticles (MP) to nanoparticles (NP), and tetrapod (T–ZnO), were prepared as the UV sensing active materials. The sensitivity was evaluated by exposing the films to various radiation sources, i.e., 365 nm (UV A), 302 nm (UV B), and 254 nm (UV C), and measuring the electrical resistance change. T–ZnO is found to exhibit higher sensitivity and stable response (on/off) upon exposure to UV A and UV B radiation, which is attributed to their higher surface area, aspect ratio, porosity, and interconnective networks inducing a high density of chemical interaction sites and consequently improved photocurrent generation. A wearable sensor using T–ZnO is packaged and attached to a collar for dynamic monitoring of UV response on ruminant animals (e.g., sheep in this study). The excellent performance of T–ZnO wearable sensors for ruminant animals also holds the potential for a wider range of applications such as residential buildings and public spaces.
Discourse and cognition : bridging the gap

1. On sentence accent in information 2. Conceptual integration in counterfactuals 3. Sequencing mental spaces in an ASL narrative Semantic Principles of Predication 4. From hypothetical to factual and beyond: 5. Refutational si- clauses in Spanish conversation 6. Meaning and context: German Aber and Sondern 7. A non-syntactic account of some asymmetries in the double object construction 8. Viewpoint shifts in narrative 9. Psycholinguistic studies of entrenchment 9. Prototype theory and covert gender in Turkish 10. An AI system for metaphorical reasoning about mental states in discourse 11. The conceptual basis of number marking in Brazilian Portuguese Metaphoric gestures and some of their relations to verbal metaphoric expressions Principles of conceptual integration Reference frames: an application to imparfait Bound spaces, Starting points, and settings Space and time in the semantics of the Finnish case system Locating linguistic variation in semantic templates The distribution of generic objects: Lexical semantics vs. pragmatics On subjectification and grammaticization Conceptual metaphor in mathematics The relation between grammaticalization and event structure metaphor: Evidence from Uighur auxiliation Blending and other conceptual operations in the interpretation of mathematical proofs Three grammaticalization paths for the development of person verbal agreement in Hebrew The pragmatics of precision: geometric and non-geometric periphrastic progressives in modern English The 'conduit metaphor' revisited: a reassessment of metaphors for Communication Conceptual dependency and the clausal structure of discourse.
The Arabidopsis Receptor-like Kinase CAP1 Promotes Shoot Growth under Ammonium Stress

Simple Summary Understanding the underlying mechanisms of NH4+ toxicity is essential for improving nitrogen use efficiency. Although numerous genes and factors have been identified to function in modulating the response to NH4+ stress, NH4+ toxicity remains poorly characterized. Our work reported here demonstrated a new role for CAP1 in shoot growth in response to NH4+ stress. The enhanced sensitivity of the cap1-1 mutant to NH4+ stress is linked with the role of CAP1 in regulation cell wall loosening and ROS accumulation. Abstract High levels of ammonium (NH4+) in soils inhibit plant growth and nitrogen utilization efficiency. Elucidating the underlying mechanisms of NH4+ toxicity is essential for alleviating the growth inhibition caused by high NH4+. Our previous work showed that [Ca2+]cyt-associated protein kinase 1 (CAP1) regulates root hair growth in response to NH4+ in Arabidopsis thaliana, and the cap1-1 mutant produces short root hairs under NH4+ stress conditions. However, it is unclear whether CAP1 functions in other physiological processes in response to NH4+. In the present study, we found that CAP1 also plays a role in attenuating NH4+ toxicity to promote shoot growth. The cap1-1 mutant produced smaller shoots with smaller epidermal cells compared with the wild type in response to NH4+ stress. Disruption of CAP1 enhanced the NH4+-mediated inhibition of the expression of cell enlargement-related genes. The cap1-1 mutant showed elevated reactive oxygen species (ROS) levels under NH4+ stress, as well as increased expression of respiratory burst oxidase homologue genes and decreased expression of catalase genes compared with the wild type. Our data reveal that CAP1 attenuates NH4+-induced shoot growth inhibition by promoting cell wall extensibility and ROS homeostasis, thereby highlighting the role of CAP1 in the NH4+ signal transduction pathway.
A Unified Approach Towards Monogamy of Quantum Correlations

We prove that monogamy of a convex quantum correlation measure for an arbitrary multipartite pure quantum state leads to its monogamy for the mixed state in the same Hilbert space. In particular, we prove that the square of negativity is monogamous for \(n\)-qubit mixed state. Several derived monogamy relations are also discussed. We, primarily, aim to establish that a general quantum correlation obeys a set of monogamy relations.
CD8A as a Prognostic and Immunotherapy Predictive Biomarker Can Be Evaluated by MRI Radiomics Features in Bladder Cancer

Simple Summary It is necessary to explore a reliable predictive biomarker for immunotherapeutic strategies in bladder cancer. As an important member of tumor-infiltrating immune cells, cytotoxic T cells are the ultimate effectors of cancer rejection because of their specificity against cancer cells and cytolytic capabilities. Based on RNA expression data, we found that among T cytotoxic pathway-related genes, CD8A is a novel protective gene in bladder cancer. CD8A expression is highly associated with tumor microenvironment characteristics and tumor mutation burden, which partially explain CD8A as a prognostic and immunotherapy predictive biomarker in bladder cancer. In addition, we performed the radiogenomics in bladder cancer based on the RNA-sequence data and MRI-based radiomics features in our center. In this way, an MRI-based radiomics signature has the potential to preoperatively predict the expression of CD8A, thereby contributing to the preoperative prediction of prognosis and immunotherapeutic susceptibility in bladder cancer. Abstract As an important member of T cytotoxic pathway-related genes, CD8a molecule (CD8A) may be a useful biomarker of immunotherapeutic response and immune cell infiltration. We aimed to investigate the clinical predictive value of CD8A in prognosis and tumor microenvironment (TME) and preoperatively predict the expression of CD8A using radiogenomics in bladder cancer (BCa). Among 12 T cytotoxic pathway-related genes, CD8A was a novel protective gene and had the highest correlations with T cells and Macrophages M1 in BCa. In advanced cancer patients treated with immunotherapy, low CD8A expression was associated with immunotherapeutic failure and poor survival outcomes. CD8A expression was highly related to tumor mutation burden, critical immune checkpoint genes and several types of tumor-infiltrating immune cells, predicting effective response to immunotherapy. The preoperative MRI radiomics features and RNA-sequence data of 111 BCa samples were used to develop a radiomics signature that achieved good performance in the prediction of CD8A expression in both the training (area under curve (AUC): 0.857) and validation sets (AUC: 0.844). CD8A is a novel indicator for predicting the prognosis and immunotherapeutic response in BCa. A radiomics signature has the potential to preoperatively predict the expression of CD8A in BCa patients.
Inoculation with phosphate‐solubilizing bacteria alters microbial community and activates soil phosphorus supply to promote maize growth

Phosphorus (P) is one of the essential macronutrients for plants, but agricultural soil generally lacks available P. This study aims to ascertain the impact of phosphate‐solubilizing bacterial inoculation on the development of maize, soil characteristics, P fractions, and the microbial population in the soil. In this experiment, we explored the P solubilizing ability of P‐solubilizing bacteria through liquid culture. In a maize pot experiment, soil P fractions and maize growth were examined, and a metagenomic sequence was constructed to analyze the soil microbial community and gene abundances and to link their relationship. In the shaking flask culture experiment, it was found that the Burkholderia (XQP35) and Raoultella (SQP80) have a strong capability for calcium phosphate and calcium phytate. Compared with the blank control, the XQP35 and SQP80 treatments could improve maize biomass and the soil nutrient status. Moreover, SQP80 treatments increased the soil acid phosphatase activity. SQP80 inoculation dramatically decreased the variety of the soil microbial community and the abundance of Acidobacteria. We found that the different treatments had no significant effect on the number of genes but that the SQP80 treatments significantly increased the P‐cycling pathway gene family phoA and phoD compared with the CK treatment. Our results demonstrated that inoculation with XQP35 and SQP80 could dissolve varieties of insoluble P and, together with functional pathways of P‐cycling, promote the transformation of P fractions and ultimately increase soil available P content to promote the development of maize.
Breeding system and geospatial variation shape the population genetics of Triodanis perfoliata

Abstract Both intrinsic and extrinsic forces work together to shape connectivity and genetic variation in populations across the landscape. Here we explored how geography, breeding system traits, and environmental factors influence the population genetic patterns of Triodanis perfoliata, a widespread mix‐mating annual plant in the contiguous US. By integrating population genomic data with spatial analyses and modeling the relationship between a breeding system and genetic diversity, we illustrate the complex ways in which these forces shape genetic variation. Specifically, we used 4705 single nucleotide polymorphisms to assess genetic diversity, structure, and evolutionary history among 18 populations. Populations with more obligately selfing flowers harbored less genetic diversity (π: R 2 = .63, p = .01, n = 9 populations), and we found significant population structuring (F ST = 0.48). Both geographic isolation and environmental factors played significant roles in predicting the observed genetic diversity: we found that corridors of suitable environments appear to facilitate gene flow between populations, and that environmental resistance is correlated with increased genetic distance between populations. Last, we integrated our genetic results with species distribution modeling to assess likely patterns of connectivity among our study populations. Our landscape and evolutionary genetic results suggest that T. perfoliata experienced a complex demographic and evolutionary history, particularly in the center of its distribution. As such, there is no singular mechanism driving this species' evolution. Together, our analyses support the hypothesis that the breeding system, geography, and environmental variables shape the patterns of diversity and connectivity of T. perfoliata in the US.