Miracle-dz/UniFAR-FTUs huggingface dataset:
Entanglement in many-body eigenstates of quantum-chaotic quadratic Hamiltonians

In a recent Letter [Phys. Rev. Lett. {\bf{125}}, 180604 (2020)], we introduced a closed-form analytic expression for the average bipartite von Neumann entanglement entropy of many-body eigenstates of random quadratic Hamiltonians. Namely, of Hamiltonians whose single-particle eigenstates have random coefficients in the position basis. A paradigmatic Hamiltonian for which the expression is valid is the quadratic Sachdev-Ye-Kitaev (SYK2) model in its Dirac fermion formulation. Here we show that the applicability of our result is much broader. Most prominently, it is also relevant for local Hamiltonians such as the three-dimensional (3D) Anderson model at weak disorder. Moreover, it describes the average entanglement entropy in Hamiltonians without particle-number conservation, such as the SYK2 model in the Majorana fermion formulation and the 3D Anderson model with additional terms that break particle-number conservation. We extend our analysis to the average bipartite second R{\'e}nyi entanglement entropy of eigenstates of the same quadratic Hamiltonians, which is derived analytically and tested numerically. We conjecture that our results for the entanglement entropies of many-body eigenstates apply to quadratic Hamiltonians whose single-particle eigenstates exhibit quantum chaos, to which we refer as quantum-chaotic quadratic Hamiltonians.
Prevalence of COVID-19 Vaccine Side Effects among Healthcare Workers in the Czech Republic

Background: COVID-19 vaccine side effects have a fundamental role in public confidence in the vaccine and its uptake process. Thus far, the evidence on vaccine safety has exclusively been obtained from the manufacturer-sponsored studies; therefore, this study was designed to provide independent evidence on Pfizer–BioNTech COVID-19 vaccine side effects. Methods: A cross-sectional survey-based study was carried out between January and February 2021 to collect data on the side effects following the COVID-19 vaccine among healthcare workers in the Czech Republic. The study used a validated questionnaire with twenty-eight multiple-choice items covering the participants’ demographic data, medical anamneses, COVID-19-related anamneses, general, oral, and skin-related side effects. Results: Injection site pain (89.8%), fatigue (62.2%), headache (45.6%), muscle pain (37.1%), and chills (33.9%) were the most commonly reported side effects. All the general side effects were more prevalent among the ≤43-year-old group, and their duration was mainly one day (45.1%) or three days (35.8%) following the vaccine. Antihistamines were the most common drugs associated with side effects, thus requiring further investigation. The people with two doses were generally associated with a higher frequency of side effects. Conclusions: The distribution of side effects among Czech healthcare workers was highly consistent with the manufacturer’s data, especially in terms of their association with the younger age group and the second dose. The overall prevalence of some local and systemic side effects was higher than the manufacturer’s report. Further independent studies on vaccine safety are strongly required to strengthen public confidence in the vaccine.
Severely Damaged Freeze-Injured Skeletal Muscle Reveals Functional Impairment, Inadequate Repair, and Opportunity for Human Stem Cell Application

Background: The regeneration of severe traumatic muscle injuries is an unsolved medical need that is relevant for civilian and military medicine. In this work, we produced a critically sized nonhealing muscle defect in a mouse model to investigate muscle degeneration/healing phases. Materials and methods: We caused a freeze injury (FI) in the biceps femoris of C57BL/6N mice. From day 1 to day 25 post-injury, we conducted histological/morphometric examinations, an analysis of the expression of genes involved in inflammation/regeneration, and an in vivo functional evaluation. Results: We found that FI activates cytosolic DNA sensing and inflammatory responses. Persistent macrophage infiltration, the prolonged expression of eMHC, the presence of centrally nucleated myofibers, and the presence of PAX7+ satellite cells at late time points and with chronic physical impairment indicated inadequate repair. By looking at stem-cell-based therapeutic protocols of muscle repair, we investigated the crosstalk between M1-biased macrophages and human amniotic mesenchymal stem cells (hAMSCs) in vitro. We demonstrated their reciprocal paracrine effects where hAMSCs induced a shift of M1 macrophages into an anti-inflammatory phenotype, and M1 macrophages promoted an increase in the expression of hAMSC immunomodulatory factors. Conclusions: Our findings support the rationale for the future use of our injury model to exploit the full potential of in vivo hAMSC transplantation following severe traumatic injuries.
ADOPTING CONSTRUCTIVIST VERSUS OBJECTIVIST GROUNDED THEORY IN HEALTH CARE RESEARCH: A REVIEW OF THE EVIDENCE

Background and aim: Grounded theory has taken some different theoretical perspectives since its creation in 1967 by Barney Glaser. Considering that applying grounded theory partly depends on an awareness of its philosophical perspectives, gaining knowledge about these various perspectives is required for health care professionals who are interested in studying the social processes. This review was conducted to provide an understanding of the evolution of philosophical backgrounds of grounded theory. Methods: Relevant literature focused on constructivist or objectivist grounded theory were retrieved from MEDLINE, ISI and Scopus databases, bibliographies of obtained articles as well as related books. The identified data were critically reviewed from the viewpoint of the different types of philosophical backgrounds of grounded theory approach. Results:Grounded theory has two different perspectives. Objectivist grounded theory is rooted in post-positivist epistemology, whereas constructivist grounded theory has its roots in an interpretive tradition and relativism. The Glaserian approach is an objectivist grounded theory and based on etic position, where the researcher is separate from and looks at the social realities. However, the Straussian approach is a constructivist grounded theory and based on emic position, where the researchers co-construct the data through adopting a position of mutuality and partnership between participant and researcher and create the theory of a social process using their own perspectives, values, privileges, interactions and understanding of the social realities. Conclusions: Adopting an appropriate grounded theory approach by health care professionals depends on understanding of the philosophical foundations of the social processes and structures
Uniform Act Organizing and Harmonizing Accounting Systems in the Signatory States to the Treaty on the Harmonization of Business Law in Africa with Commentaries

Prior to the adoption of the OHADA Uniform Act, companies in the Anglophone provinces of Cameroon were incorporated under Chapter 37 of the Laws of the Federation of Nigeria and Lagos, 1958, which was modelled on the British Companies Ordinance of 1922. One major weakness of this legislation was the absence of provisions relating to accounting and auditing. Unlike the British Companies Act 1948, or the Nigerian Companies Decree 1968, it contained no provisions compelling a company to keep any books of account. Generally speaking, the accounting requirements of company law in countries that have British-style legal systems are applicable only to limited liability companies. By contrast, the accounting rules of the OHADA Act, and the commercial codes in civil law jurisdictions, have a broader scope in that they apply to all types of undertakings. For example, Part 1 of the OHADA Uniform Act (Articles 1-73) presents detailed rules relating to accounting conventions, routine bookkeeping procedures, and the probative value of accounting records. In Part 2 (Articles 74-102), the OHADA Uniform Act attempts to blend the Anglo-American accounting model with the French uniform accounting approach by codifying key provisions of International Financial Reporting Standards, and incorporating them as numbered Articles within its framework, in line with the civil law tradition wherein codes and statutes are highly structured and systematized. But it is important to note here that many of the international accounting standards that were incorporated into the OHADA Uniform Act are outdated versions which have been substantially revised in recent years or superseded by newer standards. Furthermore, the OHADA Act introduces some novel ideas, such as the notion of â? combined accountsâ?  which is not found in English-speaking countries. Also, whereas Articles 71 and 111 require large companies to prepare special employee (or human resource) reports, known as the â? bilan socialâ? , no specific guidance on the form and content of such reports is given in the OHADA Act, although it is the subject of detailed legislation in France.
MagnetViz : design and evaluation of a physics-based interaction technique for graph visualization

9 RESUMO . 11
Dealer Intermediation and Price Behavior in the Aftermarket for New Bond Issues

We study trading and prices in newly issued municipal bonds. Municipals, which trade in decentralized, broker-dealer markets, are underpriced when issued, but unlike equities the average price rises slowly over a period of several days. We document high levels of price dispersion in newly issued bonds, and show that the average drift upward in price is because of changes in the mix of trades over time. While large trades occur close to the reoffering price, and close to each other, small trades occur at a wide range of prices almost simultaneously. Some small investors appear to be informed about the status of the issue, and trade on attractive terms. Others appear uninformed,and often buy at prices as much as five percent above the reoffering price, at which informed traders buy. We estimate a mixed-distribution model that highlights ex-ante characteristics that discriminate between these types of investors, and quantifies the losses uninformed traders or issuers give up to broker dealers.
Automatic Kernel Generation for Volta Tensor Cores

A commonly occurring computation idiom in neural networks is to perform some pointwise operations on the result of a matrix multiplication. Such a sequence of operations is typically represented as a computation graph in deep learning compilers. When compiling to a GPU target, these computations can be individually mapped to manually tuned implementations provided by libraries such as cuBLAS and cuDNN. These libraries also provide off-the-shelf support for targeting tensor cores in NVIDIA GPUs, which can lead to huge performance boosts through their specialized support for mixed-precision matrix math. Alternatively, tensor cores can be programmed directly using CUDA APIs or inline assembly instructions, which opens up the possibility of generating efficient CUDA kernels automatically for such computations. Automatic kernel generation is particularly crucial when it is beneficial to generate efficient code for an entire computation graph by fusing several operations into a single device function instead of invoking a separate kernel for each of them. Polyhedral compilation techniques provide a systematic approach for the analysis and transformation of a sequence of affine loop-nests. In this paper, we describe a polyhedral approach to generate efficient CUDA kernels for matrix multiplication using inline assembly instructions for programming tensor cores on NVIDIA Volta GPUs. Furthermore, we build on this approach to generate fused kernels for computation sequences involving matrix multiplication and pointwise operations such as bias addition, ReLU activation etc. Experimental evaluation of these techniques show that automatically generated kernels can provide significantly better performance than manually tuned library implementations, with speedups ranging up to 2.55X.
Thermodynamics of Biochemical Reactions

Preface. Chapter 1. Introduction to Apparent Equilibrium Constants. Chapter 2. Structure of Thermodynamics. Chapter 3. Chemical Equilibrium in Aqueous Solutions. Chapter 4. Thermodynamics of Biochemical Reactions at Specified pH. Chapter 5. Matrices in Chemical and Biochemical Thermodynamics. Chapter 6. Systems of Biochemical Reactions. Chapter 7. Thermodynamics of Binding of the Ligands by Proteins. Chapter 8. Phase Equilibrium in Aqueous Systems. Chapter 9. Oxidation-Reduction Reactions. Chapter 10. Calorimetry of Biochemical Reactions. Chapter 11. Use of Semigrand Partition Functions. Glossary. References.
Recurrent Glioblastoma: From Molecular Landscape to New Treatment Perspectives

Simple Summary Glioblastoma is the most common and aggressive malignant primary brain cancer in adults. The prognosis remains poor following standard-of-care treatment with surgery, radiotherapy and chemotherapy, with a median overall survival of about 15 months. Theoretically, all glioblastoma patients relapse. Once tumors progress after first-line therapy, treatment options are limited and management of recurrent glioblastoma remains challenging. In recent years, new treatments have been tested on recurrent glioblastoma patients. These include immunotherapy, antiangiogenic treatment, targeted therapy and combination regimens. Here, we review these treatment approaches and provide an overview on the molecular characteristics of recurrent glioblastoma. Abstract Glioblastoma is the most frequent and aggressive form among malignant central nervous system primary tumors in adults. Standard treatment for newly diagnosed glioblastoma consists in maximal safe resection, if feasible, followed by radiochemotherapy and adjuvant chemotherapy with temozolomide; despite this multimodal treatment, virtually all glioblastomas relapse. Once tumors progress after first-line therapy, treatment options are limited and management of recurrent glioblastoma remains challenging. Loco-regional therapy with re-surgery or re-irradiation may be evaluated in selected cases, while traditional systemic therapy with nitrosoureas and temozolomide rechallenge showed limited efficacy. In recent years, new clinical trials using, for example, regorafenib or a combination of tyrosine kinase inhibitors and immunotherapy were performed with promising results. In particular, molecular targeted therapy could show efficacy in selected patients with specific gene mutations. Nonetheless, some molecular characteristics and genetic alterations could change during tumor progression, thus affecting the efficacy of precision medicine. We therefore reviewed the molecular and genomic landscape of recurrent glioblastoma, the strategy for clinical management and the major phase I-III clinical trials analyzing recent drugs and combination regimens in these patients.
Assessing Consumer Preferences for Suboptimal Food: Application of a Choice Experiment in Citrus Fruit Retail

Amid the trend of sustainable development, reducing food waste is a global concern and campaigns to reduce food waste have been launched. For example, the term “food sharing” has originated from Germany and promotes sharing food instead of wasting. “The Guerilla Kitchen”, which originated from Netherlands, is an organization that also promotes avoiding wasting food. Consequently, more and more people are paying attention on this issue and we think it is necessary to understand people’s acceptance of suboptimal food, as discarded suboptimal food represents a significant proportion of food waste. Additionally, at least one-third of the food globally produced each year is classified as suboptimal and cannot be sold in the market because of a poor appearance, damaged packaging, or near expiration date, thus presenting challenges for environmental, social, and economic sustainability. Previous studies on suboptimal food have focused more on appearances and packaging dates and less on investigating traceable agricultural and price discounts, which is where food classified as suboptimal entails a discount. Moreover, citrus product attributes such as appearance, size, freshness indicators, traceable agricultural products, and price discounts were determined in terms of consumer preference through pre-measurement here, then using a choice experiment method to clarify which attributes consumers care about most (N = 485 respondents). Conditional logistic regression and a random parameter logit model (RPL) are employed to examine the various properties of a marginal willingness to pay (WTP). RPL was also used to deduce the respondents’ choices based on differences in appearance and freshness indicator. The results showed that consumers place greater emphasis on the freshness indicators (harvesting/packaging date labels) and appearance of suboptimal citrus fruits but do not focus on the size. Consumers are willing to purchase citrus fruit with a flawed appearance, although the price needs to be reduced from the original price. Although suboptimal food does not reduce health, people may still not buy it and this result in food wastage. As a result, it is essential to increase awareness regarding suboptimal foods and reduce food waste to support sustainable development.
Copa: Practical Delay-Based Congestion Control for the Internet

Congestion control schemes that are commonly deployed today are loss-based and were developed in the 2000s. The internet has changed dramatically since then, and these schemes are no longer suitable. This has prompted new research interest in this area, ranging from complex machine learning and optimization techniques [1, 2, 3, 4] to exploring usage of hitherto under-explored ack-arrival rate as signals [5, 6, 7]. It has long been recognized that delay-based congestion control overcomes many challenges that loss-based schemes face [8, 9]. However they have challenges of their own that have precluded their deployment. In this work, we identify and solve some of these challenges to create Copa, a practical delay-based congestion control algorithm for the Internet. Copa solves three challenges. (1) It periodically empties the queue to accurately measure the minimum (base) RTT, (2) it proposes a simple estimator for queuing delay that is robust to noise in RTT measurements, (3) it introduces "TCP-mode switching": normally Copa maintains low delays, but typically delay-sensitive schemes get low throughput when a buffer-filling flow shares the bottleneck. To solve this problem, when Copa detects a non-Copa flow, such as a buffer-filling TCP, it switches to a TCP-competitive mode to get its fair share of the bandwidth. Based on work published at Arun, Venkat, and Hari Balakrishnan. "Copa: Practical Delay-Based Congestion Control for the Internet. " 15th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 18). USENIX} Association, 2018.
Measurement and characterization of magnetic materials

Correct and efficient measurements are vital to the understanding of materials properties and applications. This is especially so for magnetic materials for which in last twenty years, our understanding and use have changed dramatically. New or improved materials have been created and have reached the market. The Soft amorphous alloys, the Fe-based rare-earth magnets and the giant magnetorestrictive and magnetoresistive materials have all posed challenges to measurement. At the same time new digital measurement techniques have forced a change in laboratory and commercial measuring setups. A revision of measuring standards also occurred in the 1990s with the result that there is now a lack of up-to-date works on the measurement of magnetic materials. The basic objective of this work is to provide a comprehensive overview of the properties of the hard and soft magnetic materials relevant to applications and of thoroughly discussing the modern methodologies for employed in the measurement of these properties. The balance of these topics results in a complete text on the topic, which will be invaluable to researchers, students and practitioners in industry. It will be of significant interest not only to scientists working in the fields of power engineering and materials science but also to specialists in measurement who be able to easily find all the information they need. This work offers a comprehensive overview of the properties of the hard and soft magnetic materials. It provides applications and discusses thoroughly the modern methodologies for employed in the measurement of these properties. It provides the latest up-to-date works on the measurement of magnetic materials.
Galactic Structure and Star Formation in Vela-Carina

3 Quality Checks and Source List Validation 6 3.1 Astrometric Accuracy . 7 3.2 Photometric Accuracy . 7 3.3 Color-Color and Color-Magnitude Plots . 10 3.4 Other checks . 10
Composition Du Jury Table of Contents Liste Des Tableaux Liste Des Figures Liste Des Algorithmes

French) . viii ABSTRACT . ix GENERAL INTRODUCTION . 1 CHAPTER I PGPI: INFERRING USER PROFILES IN SOCIAL NETWORKS USING A PARTIAL SOCIAL GRAPH . 5
Computer human interaction using hand gestures

This research describes a dynamic hand gesture recognition system that can simplify the way humans interact with computers and many other non-critical consumer electronic equipments. The proposed system is based on the well-known "Wave Controller" technology developed at the University of Wollongong [1-3] and will revolutionize video gaming and consumer electronics control interfaces. Currently, computer interfacing mainly involves keyboard, mouse, joystick or gaming wheels and occasionally voice recognition for user input. These modes of interaction have restrained the artistic ability of many users, as they are required to respond to the computer through pressing buttons or moving other apparatus. Most of the drawbacks associated with the existing human computer interaction devices can be tackled by using a reliable hand gesture recognition system that facilitates interaction between users and computers and other consumer electronic equipment in real time. This will further enhance the user experience as users no longer have any physical connection to the equipment being controlled. This system can also be extended to a sign language system for the benefit of the disabled including those with speech disabilities. Currently (February 2011), this work is incorporated into "Talking Head" robotic displayed at Sydney Power House museum to interact with robot. Public can used hand gestures to manipulate the robot using this research developed here. This research has culminated in development of the entire dynamic hand gesture system using Open Computer Vision (OpenCV) platform which has
“ The 35 th Symposium on Transformation Groups ” Abstracts of the Talks

November 11 13:30 – 14:20 Yoshinobu Kamishima, Two Rigidity Conjectures from Transformation Groups . 2 14:35 – 15:25 Takeshi Ikeda, Degeneracy Loci Formulae from a Point of View of Equivariant Cohomology . 2 15:40 – 16:30 Kenji Tsuboi, Finite Transformation Groups and the Equivariant Determinant of Elliptic Operators . 2 16:45 – 17:35 Ikumitsu Nagasaki, On the Isovariant Hopf Theorem . 4