Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards topological fixed-point models beyond gappable boundaries

We consider ﬁxed-point models for topological phases of matter formulated as discrete path integrals in the language of tensor networks. Such zero-correlation length models with an exact notion of topological invariance are known in the mathematical community as state-sum constructions or lattice topological quantum ﬁeld theories. All of the established ansatzes for ﬁxed-point models imply the existence of a gapped boundary as well as a commuting-projector Hamiltonian. Thus, they fail to capture topological phases without a gapped boundary or commuting-projector Hamiltonian, most notably chiral topological phases in 2 + 1 dimensions. In this work, we present a more general ﬁxed-point ansatz not affected by the aforementioned restrictions. Thus, our formalism opens up a possible way forward towards a microscopic ﬁxed-point description of chiral phases and we present several strategies that may lead to concrete examples. Furthermore, we argue that our more general ansatz constitutes a universal form of topological ﬁxed-point models, whereas established ansatzes are universal only for ﬁxed-points of phases which admit topological boundaries.
An Integrated Productivity-Practices Implementation Index for Planning the Execution of Infrastructure Projects

AbstractProductivity and project performance can be improved through implementing best practices. This paper describes the development of a best productivity practices implementation index (BPPII) for infrastructure projects. The index is a checklist of practices that are considered to have a positive influence on labor productivity at the project level for infrastructure projects. These practices have been grouped together into a formalized set of categories, sections, and elements. Each practice and its planning and implementation levels were defined and assigned a relative weight on the basis of its importance in affecting labor productivity. The productivity factor (PF), defined as a ratio of estimated productivity and actual productivity, was used as a metric to collect information about labor productivity to validate the accuracy of the BPPII for infrastructure projects. Data were collected for infrastructure projects in regards to their planning and implementation level of practices in addition to .
Exponentially Tilted Gaussian Prior for Variational Autoencoder

An important property for deep neural networks to possess is the ability to perform robust out-of-distribution detection (OOD) on previously un-seen data. This property is essential for safety purposes when deploying models for real world applications. Recent studies show that probabilistic generative models can perform poorly on this task, which is surprising given that they seek to estimate the likelihood of training data. To alleviate this issue, we propose the exponentially tilted Gaussian prior distribution for the Variational Autoencoder (VAE). With this prior, we are able to achieve state-of-the art results using just the negative log-likelihood that the VAE naturally assigns, while being orders of magnitude faster than some competitive methods. We also show that our model produces high quality image samples which are more crisp than that of a standard Gaussian VAE. The new prior distribution has a very simple implementation which uses a Kullback–Leibler divergence that compares the difference between a latent vector’s length, and the radius of a sphere.
The remarkable dynamics in the establishment, rearrangement, and loss of dentition during the ontogeny of the sterlet sturgeon

Sturgeons belong to an early‐branching lineage often used as a proxy of ancestor‐like traits of ray‐finned fishes. However, many features of this lineage, such as the transitory presence and the eventual loss of dentition, exemplify specializations that, in fact, provide important information on lineage‐specific evolutionary dynamics.
Servicing Timed Requests on a Line

We consider an off-line optimisation problem where $k$ robots must service $n$ requests on a single line. A request $i$ has weight $w_i$ and takes place at time $t_i$ at location $d_i$ on the line. A robot can service a request and collect the weight $w_i$, if it is present at $d_i$ at time $t_i$. The objective is to find $k$ robot-schedules that maximize the total weight. The optimisation problem is motivated by a robotics application [Asahiro et al. Discrete Applied Mathematics, 2006] and can be modeled as a minimum cost flow problem with unit capacities in a flow network $\mathcal{N}$. Consequently, we ask for a collection of $k$ node-disjoint paths from the source $s$ to the sink $t$ in $\mathcal{N}$, with minimum total weight. It was shown in [Asahiro et al. Discrete Applied Mathematics, 2006] that the flow network $\mathcal{N}$ can be implicitly represented by $n$ points on the plane which yields to an $O(n \log n)$-time algorithm for $k=1$ and the special case where all requests have the same weight. However, for $k \geq 2$ the problem can be solved in $O(kn^2)$ time with the successive shortest path algorithm which does not use this implicit representation. We consider arbitrary request weights and show a recursive $O(k^{2k}n \log^{2k} n)$-time algorithm which improves the previous bound if $k$ is considered constant. Our result also improves the running time of previous algorithms for other variants of the optimisation problem. Finally, we show problem properties that may be useful within the context of applications that motivate the problem and may yield to more efficient algorithms.
Celtic tiger and celtic cat

In the last few years many studies have been carried out on the Celtic Tiger miracle, i.e., on the spectacular economic growth Ireland experienced between 1995 and 2007. All the studies agree on the key factors that explain this progress, including the commitment to specialized training designed to guarantee the competitivess of its companies on an international level, in particular in the technology, chemical/pharmaceutical and food and agricultural sectors. Given the limitations of its domestic market, all entrepreneurial initiatives linked to these areas have targeted export markets, and these efforts have received government support and been reinforced by a close collaboration between universities and the business world. Within this context, business schools have played a crucial role given their close ties to business, not only as far as supplying skilled labour, but also by providing business advice as well as a space that serves as a meeting point for entrepreneurs. This situation has fostered the development of a modern, dynamic and, above all, enterprising entrepreneurial culture. The close links between Ireland and Galicia are due to geographical, historical and cultural factors; however, this is not the case in terms of their evolution over the last few decades. This paper aims to contribute to a better understanding of the Celtic Tiger miracle through a study of Irish business schools that analyses their efficiency and compares this to that of their counterparts in Galicia during the 1997-2002 period in order to determine if, as in the case of their economies, there are any significant competitive differences.
Allergic Sensitization to Nickel and Implanted Metal Devices: A Perspective

Abstract There is continuing interest in the interrelationships between allergic sensitization to metal allergens, metal implants, and the development of adverse reactions to implanted devices. Here, we focus on sensitization to nickel (although, in practice, it is commonly not possible to distinguish between events associated with nickel and other potentially allergenic metals used in devices). The purpose of this article was to review whether exposure to nickel resulting from implanted devices is associated with the development of de novo sensitization to nickel and also whether nickel sensitization, either newly acquired or pre-existing, has a causal relationship with adverse health effects. In addressing these issues, a variety of devices, including metal-on-metal hip implants, cardiac and endovascular stents and filters, and the gynecologic implant Essure, are considered. Also addressed is the question of whether pre-operative assessment of nickel allergy (and allergy to other implant metals) is required. The conclusions reached are that (a) sensitization can potentially be acquired as the result of exposure to implants containing nickel, but is not a common occurrence; (b) sensitization to nickel and/or other metal allergens is very rarely a cause of adverse reactions to implants; and (c) routine preoperative patch testing for sensitization to nickel is unnecessary, unless there is a significant clinical history of nickel allergy.
Voice pathology detection and classification from speech signals and EGG signals based on a multimodal fusion method

Abstract Automatic voice pathology detection and classification plays an important role in the diagnosis and prevention of voice disorders. To accurately describe the pronunciation characteristics of patients with dysarthria and improve the effect of pathological voice detection, this study proposes a pathological voice detection method based on a multi-modal network structure. First, speech signals and electroglottography (EGG) signals are mapped from the time domain to the frequency domain spectrogram via a short-time Fourier transform (STFT). The Mel filter bank acts on the spectrogram to enhance the signal’s harmonics and denoise. Second, a pre-trained convolutional neural network (CNN) is used as the backbone network to extract sound state features and vocal cord vibration features from the two signals. To obtain a better classification effect, the fused features are input into the long short-term memory (LSTM) network for voice feature selection and enhancement. The proposed system achieves 95.73% for accuracy with 96.10% F1-score and 96.73% recall using the Saarbrucken Voice Database (SVD); thus, enabling a new method for pathological speech detection.
EARTHWORK ALLOCATIONS WITH NONCONSTANT UNIT COSTS

Existing linear programming methods of earthwork allocations in road construction assume that the unit costs of earthwork activities are constant. This paper investigates the factors that affect the variations of unit costs and presents a model of earthwork allocations that incorporates nonconstant unit costs. The unit costs may vary with the total quantity of materials moved from cut to fill sections or disposal sites and from borrow pits to fill sections. For earthwork from cut sections, the unit costs can be established from the known quantities of cut sections (and other operating conditions) and can then be treated as constants in the model. For earthwork from borrow pits, the unit costs also vary with the total quantity to be moved from a borrow pit to fill sections, but this quantity is unknown. These unit costs are formulated as three‐component stepwise functions. The solution of the model is explored and a computer program, EARTHN, which solves the model quite efficiently, is developed. The model.
Assessing/Imaging the Subcoracoid Space: From Anatomy to Dynamic Sonography

In the pertinent literature, standardized sonographic protocols have been widely described to evaluate the different compartments of the shoulder. However, the subcoracoid space is a complex anatomical region—usually not included/described in basic ultrasound approaches. Accordingly, starting from its anatomy, we describe a two‐phase dynamic ultrasound protocol to scan the subcoracoid space. This way, we aim to optimize the diagnosis and management of patients with anterior shoulder pain and subcoracoid effusion.
Product and Performance Delivered: Supplying Customer with Products and Consecutive Delivery Performance Data

TAMPERE UNIVERSITY OF TECHNOLOGY Master’s Degree Programme in Business and Technology BABACAN, SEYFI: Product and Performance Delivered: Supplying Customer with Products and Consecutive Delivery Performance Data Master of Science Thesis, 95 pages, 2 Appendices (2 pages) January 2014 Major: Managing Technology-Driven Businesses in Global B2B Markets Examiners: Professor Petri Suomala, Doctor Jouni Lyly-Yrjänäinen
Child Temperament as a Predictor of Parents' Potential for Emotional Abuse

Abstract Children who are constantly criticized and humiliated by their parents and whose needs for affection and attention are not sufficiently addressed are defined as people with personality traits, low self-confidence, and antisocial behaviors. These personality traits have a significant influence on the shaping of the child's temperament. Therefore, emotional abuse negatively affects both the personality and success of the child. In line with this, child temperament was analyzed as a predictor of the emotional abuse potential of parents who have children between the ages of 4 and 6. The experimental group of the study consisted of 237 parents. Data were collected using The Scale for Emotional Abuse Potential of Parents with Children Aged 3 to 6 and Temperament Assessment Battery for Children–Revised: Parent Form. In the data analysis, the intervariable relationship was determined by the Pearson correlation coefficient, and the predictors of emotional abuse potentials were determined by multiple regression analysis. As a result of the analysis, a significant negative correlation was found between shyness and parents' emotionally abusive behaviors, a significant positive correlation between those behaviors and surgency, and negative affectivity. A positive correlation was found between persistence and the parents' emotional abuse preventive behaviors. In terms of predictive variables, it was found that the causality subdimension of the emotional abuse potentials of parents was significantly predicted by the negative affectivity subdimension of temperament, and emotional abuse preventive potentials of parents were significantly predicted by the persistence subdimension of temperament.
Bringing the everyday life of people into design

Products play a role in our everyday lives. Insight into the experiences of people in their everyday lives is of great use for designing products. For example, the contexts in which products are used (physical, social, culture etc.) and the state (excited, tired, concentrated etc.) of the users influence how they experience using products. However, in design practice using this type of diverse, subjective and multi-layered information, as inspirational input for the design process, is a recent development. In this research project, I explored how this information can be communicated in such a way that it supports designers (1) to empathise with users, (2) to be inspired to create new product ideas, and (3) to be engaged to use this information in their design processes. By a set of eight explorative studies in collaboration with industrial practice (varying from a small design firm to a multinational telecom company) the current situation in design practice is investigated, tools to communicate this type of information are designed and explored in use, and a theoretical framework is created to organise the elements which play a role in this communication. The filled in framework and a set of guidelines for practitioners to successfully communicate rich experience information in design are the results. The framework folds out how the three main qualities (empathy, inspiration and engagement) can be achieved by setting in mechanisms and means. The guidelines show various examples of how these qualities can be supported.
Licochalcone A inhibits cell growth through the downregulation of the Hippo pathway via PES1 in cholangiocarcinoma cells

Overexpression or activation of Yes‐associated protein (YAP) is common in cancer cells. Thus, targeting YAP may be a strategy for cancer therapy. Licochalcone A (LicA) is a primary active compound of licorice root and is known to have medicinal effects, such as antioxidant, antibacterial, antiviral, and anticancer effects. However, the anticancer pharmacological mechanism of LicA has not been investigated in cholangiocarcinoma. In this study, we investigated the antiproliferative effect of LicA and the underlying molecular mechanism in HCCC‐9810 and RBE human cholangiocarcinoma cells. Our experiments indicated that LicA suppressed the growth of cholangiocarcinoma cells through inactivation of the Hippo pathway. Pescadillo ribosomal biogenesis factor 1 (PES1) was notably upregulated and related to carcinogenesis. We also found that LicA suppressed the expression and nuclear localization of PES1, which was associated with the inhibition of YAP expression and transcriptional activity.
A new way in intelligent recognition improves control accuracy and efficiency for spacecrafts’ rendezvous and docking

Spacecrafts rendezvous and docking (RVD) by human or autonomous control is a complicated and difficult problem especially in the final approach stage. Present control methods have their key technology weakness. It is a necessary, important and difficult step for RVD through human’s aiming chaser spacecraft at target spacecraft in a coaxial line by a three-dimension bulge cross target. At present, there is no technology to quantify the alignment in image recognition direction. We present a new practical autonomous method to improve the accuracy and efficiency of RVD control by adding image recognition algorithm instead of human aiming and control. Target spacecraft has a bulge cross target which is designed for chaser spacecraft’s aiming accurately and have two center points, one is a plate surface center point(PSCP), another is a bulge cross center point(BCCP), while chaser spacecraft has a monitoring ruler cross center point(RCCP) of the video telescope optical system for aiming . If the three center points are coincident at the monitoring image, the two spacecrafts keep aligning which is suitable for closing to docking. Using the trace spacecraft’s video telescope optical system to acquire the real-time monitoring image of the target spacecraft’s bulge cross target. Appling image processing and intelligent recognition algorithm to get rid of interference source to compute the three center points’ coordinate and exact digital offset of two spacecrafts’ relative position and attitude real-timely, which is used to control the chaser spacecraft pneumatic driving system to change the spacecraft attitude in six direction: up, down, front, back, left, right, pitch, drift and roll precisely. This way is also practical and economical because it needs not adding any hardware, only adding the real-time image recognition software into spacecrafts’ present video system. It is suitable for autonomous control and human control.
Emerging therapeutic targets for cerebral edema

ABSTRACT Introduction Cerebral edema is a key contributor to death and disability in several forms of brain injury. Current treatment options are limited, reactive, and associated with significant morbidity. Targeted therapies are emerging based on a growing understanding of the molecular underpinnings of cerebral edema. Areas Covered We review the pathophysiology and relationships between different cerebral edema subtypes to provide a foundation for emerging therapies. Mechanisms for promising molecular targets are discussed, with an emphasis on those advancing in clinical trials, including ion and water channels (AQP4, SUR1-TRPM4) and other proteins/lipids involved in edema signaling pathways (AVP, COX2, VEGF, and S1P). Research on novel treatment modalities for cerebral edema [including recombinant proteins and gene therapies] is presented and finally, insights on reducing secondary injury and improving clinical outcome are offered. Expert Opinion Targeted molecular strategies to minimize or prevent cerebral edema are promising. Inhibition of SUR1-TRPM4 (glyburide/glibenclamide) and VEGF (bevacizumab) are currently closest to translation based on advances in clinical trials. However, the latter, tested in glioblastoma multiforme, has not demonstrated survival benefit. Research on recombinant proteins and gene therapies for cerebral edema is in its infancy, but early results are encouraging. These newer modalities may facilitate our understanding of the pathobiology underlying cerebral edema.
In silico screening of phytochemical compounds and FDA drugs as potential inhibitors for NSP16/10 5' methyl transferase activity

Abstract The recent global pandemic associated with the highly contagious novel coronavirus (SARS-CoV-2) has led to an unpredictable loss of life and economy worldwide, and the discovery of antiviral drugs is an urgent necessity. For the discovery of new drug leads and for the treatment of various diseases, natural products and purified photochemical from medicinal plants are used. The RNA cap was methylated by two S-adenosyl-L-methionine (SAM)-dependent methyltransferases of SARS coronavirus (SARS-CoV-2), catalyzed by NSP16 2′-O-Mtase. Natural substrate SAM, 128 Phytocompounds retrieved from the Phytocompounds database, and 11 standard FDA-approved HIV drugs reclaimed from the PubChem database are subjected to docking analysis. The docking study was done using AutoDock Vina. Further, admetSAR and DruLiTO servers are used to analyze the drug-likeness properties. The NSP16/10 structure and natural substrate SAM, Phytocompounds Withanolide (WTL), and HIV standard drug Dolutegravir (DLT) as hit compounds were identified by molecular dynamics using the Gromacs GPU-enabled package. To examine the effectiveness of the identified drugs versus COVID-19, further in vitro and in vivo studies are required. Communicated by Ramaswamy H. Sarma
Chromosome‐level genome assembly of the Chinese three‐keeled pond turtle (Mauremys reevesii) provides insights into freshwater adaptation

Mauremys reevesii is an endangered freshwater turtle that symbolizes longevity in Chinese culture. Despite its importance, genetic studies of this species remain limited, with no genomic sequence reported to date. Here, we report a high‐quality, chromosome‐level genomic sequence of M. reevesii obtained using a combination of Nanopore and Hi‐C sequencing technologies. The 2.37 Gb M. reevesii genome was assembled from a total of ~226.80 Gb of Nanopore sequencing data. The M. reevesii genome contig N50 is 34.73 Mb, the highest value in published turtle genomes. In total, 18,238 genes were functionally annotated. The contigs were clustered and ordered onto 27 pseudochromosomes covering ~96.55% of the genome assembled with Hi‐C data. To explore genome evolution, synteny analysis was performed between M. reevesii (freshwater turtle) and Gopherus evgoodei (terrestrial turtle) genomes. In general, each chromosome of M. reevesii corresponded to one chromosome of Gopherus evgoodei, but some interchromosomal rearrangements occurred between the two species based on the assembled genomes. These interchromosomal rearrangements were further confirmed by mapping of the long‐read nanopore data to the assembly. The reconstructed demographic history showed varied effective population size among freshwater, marine and terrestrial turtles. We also discovered expansion of genes related to the innate immune system in M. reevesii that may provide defence against freshwater pathogens. The high‐quality genomic sequence provides a valuable genetic resource for further studies of genetics and genome evolution in turtles.