Miracle-dz/UniFAR-FTUs huggingface dataset:
Fuzzy Logic Control of Double-Fed Induction Generator Wind Turbine

This paper presents fuzzy logic control of Doubly Fed Induction Generator (DFIG) wind turbine in a sample power system. First, a mathematical model of the doubly fed induction generator written in an appropriate d-q reference frame is established to investigate simulations. In order to control the rotor currents of DFIG, a power active and reactive control law is synthesized using PI controllers. Then, the performances of fuzzy logic controller (FLC) are investigated and compared to those obtained from the PI controller. Results obtained in Matlab/Simulink environment show that the FLC is more robust, prove excellent performance for the control unit by improving power quality and stability of wind turbine.
Multi-Omic Profiling of Macrophages Treated with Phospholipids Containing Omega-3 and Omega-6 Fatty Acids Reveals Complex Immunomodulatory Adaptations at Protein, Lipid and Metabolic Levels

In recent years, several studies have demonstrated that polyunsaturated fatty acids have strong immunomodulatory properties, altering several functions of macrophages. In the present work, we sought to provide a multi-omic approach combining the analysis of the lipidome, the proteome, and the metabolome of RAW 264.7 macrophages supplemented with phospholipids containing omega-3 (PC 18:0/22:6; ω3-PC) or omega-6 (PC 18:0/20:4; ω6-PC) fatty acids, alone and in the presence of lipopolysaccharide (LPS). Supplementation of macrophages with ω3 and ω6 phospholipids plus LPS produced a significant reprogramming of the proteome of macrophages and amplified the immune response; it also promoted the expression of anti-inflammatory proteins (e.g., pleckstrin). Supplementation with the ω3-PC and ω6-PC induced significant changes in the lipidome, with a marked increase in lipid species linked to the inflammatory response, attributed to several pro-inflammatory signalling pathways (e.g., LPCs) but also to the pro-resolving effect of inflammation (e.g., PIs). Finally, the metabolomic analysis demonstrated that supplementation with ω3-PC and ω6-PC induced the expression of several metabolites with a pronounced inflammatory and anti-inflammatory effect (e.g., succinate). Overall, our data show that supplementation of macrophages with ω3-PC and ω6-PC effectively modulates the lipidome, proteome, and metabolome of these immune cells, affecting several metabolic pathways involved in the immune response that are triggered by inflammation.
Structure and Equivalence

This Element explores what it means for two theories in physics to be equivalent (or inequivalent), and what lessons can be drawn about their structure as a result. It does so through a twofold approach. On the one hand, it provides a synoptic overview of the logical tools that have been employed in recent philosophy of physics to explore these topics: definition, translation, Ramsey sentences, and category theory. On the other, it provides a detailed case study of how these ideas may be applied to understand the dynamical and spatiotemporal structure of Newtonian mechanics - in particular, in light of the symmetries of Newtonian theory. In so doing, it brings together a great deal of exciting recent work in the literature, and is sure to be a valuable companion for all those interested in these topics.
Reliability of a Novel Automatic Knee Arthrometer for Measuring Knee Laxity After Anterior Cruciate Ligament Ruptures

Background: The accuracy of existing devices for measuring knee laxity is adversely affected by examiner reliability. Purpose: To compare the accuracy of a novel automatic knee arthrometer (AKA) to that of the KT-2000 arthrometer for measuring knee laxity after anterior cruciate ligament (ACL) ruptures. Study Design: Cohort study; Level of evidence, 2. Methods: We measured anterior displacement and the anterior displacement difference (ADD) at 134 N of anterior force in 221 healthy volunteers and 200 patients with ACL ruptures. All trials were performed by the same 2 examiners. We first analyzed the effects of examiner, side assessed, and device type using the intraclass correlation coefficient (ICC), t test, and F test. We then used the receiver operating characteristic curve to compare the diagnostic value of the measurements between devices. Results: In repeated measurements for a single healthy volunteer, there were no differences in the variance of the measurements between sides according to the AKA (standard deviation of right vs left knee for examiner A: 0.43 vs 0.58 mm, respectively [P = .39]; for examiner B: 0.49 vs 0.77 mm, respectively [P = .81]), while the KT-2000 measurements showed differences (standard deviation of right vs left knee for examiner A: 1.47 vs 0.80 mm, respectively [P = .02]; for examiner B: 1.78 vs 0.91 mm, respectively [P = .01]). The ADD assessed by the AKA was not significantly different between examiners A and B (0.50 vs 0.75 mm, respectively; P = .27; ICC = 0.83), but the KT-2000 showed a difference (1.07 vs 2.01 mm, respectively; P = .01; ICC = 0.55). The ADD of 20 healthy volunteers assessed by the AKA was less than that by the KT-2000 (0.98 vs 1.41 mm, respectively; P = .04). When comparing the diagnostic value of the 2 devices in the sample of 200 patients with ACL ruptures and 200 healthy controls, the area under the receiver operating characteristic curve for the AKA was larger than that for the KT-2000 (0.93 vs 0.87, respectively; P ≤ .01), and the threshold values were 1.75 and 2.73 mm, respectively. Conclusion: The AKA can be used to determine the degree of knee laxity in ACL injuries and to provide indications for treatment.
High Voltage Pulse Generator Based on a Novel Magnetic Isolated Drive Circuit

In order to meet the requirements of high voltage, high power, and compactness for pulse generators used in the field of liquid food sterilization, an all-solid-state Marx generator based on a novel magnetic isolated drive is proposed. The drive circuit uses the magnetic core to transfer the control signal, which adopts core stacking and inverse paralleled secondary side winding. It only needs one drive signal to realize synchronous conduction of the main switch or bypass switch and the complementary conduction of both. The maximum pulse width of drive signal is not limited by the magnetic core saturation. The topology is simple, and the problem of high voltage isolated drive of Marx generator is solved. Based on the novel magnetic drive, a 31-module solid-state Marx generator is built and a prototype test is carried out. The test results show that the maximum instantaneous power of this generator is 1.3 MW (30 kV, 43 A) with a pulse width of 3–10 μs and an adjustable repetition frequency of 0–1 kHz.
Prediction of roadbed settlement by Usher model

Usher model, as a model for general prediction of petroleum economy and resources, is used to predict roadbed settlement based on the process of roadbed settlement under the linear or approximately linear loading and the characteristics of the Usher curve. Through analyzing the differential equations of the Usher model, it is pointed out that the Logistic model and Gompertz model used for settlement prediction of foundation at present are two simplified patterns, but to the actual condition, the applicability of the Usher model is better. The calculation methods of the parameters in Usher model are expounded; and they are applied to the calculation for an example; the comparison of results between the three models shows a good agreement, which indicates that the Usher model advised in predicting the subsoil settlement is reasonable. The example also indicates that the Usher model has a higher forecast accuracy and may be adopted in engineering practice.
1-Round Distributed Key Generation With Efficient Reconstruction Using Decentralized CP-ABE

Distributed key generation (DKG) is widely used in multi-party computation and decentralized applications. DKG has two phases, namely sharing and reconstruction. Most of the prior DKG protocols need at least 2 rounds for the sharing phase, in case some party raises a dispute. The existing 1-round DKG protocol [Fouque et al., PKC’01], built based on a publicly verifiable secret sharing (PVSS) scheme, assumes a static adversary model and its reconstruction phase requires $O(n^{2})$ communication complexity. Motivated by the observation that a ciphertext-policy attribute-based encryption (CP-ABE) scheme hides secret sharing (SS) in ciphertext, we utilize decentralized CP-ABE to achieve the first adaptively secure 1-round DKG protocol. Firstly, a CP-ABE scheme enables the ciphertexts in DKG to be externally decrypted, making our protocol superior to the PVSS-based DKG protocol in reconstruction. The communication and computation complexities are both lowered to $O(n)$ thanks to the constant-sized decryption key and the proposed batch decryption. The use of CP-ABE also makes our DKG protocol storage-friendly, i.e., the parties store no ciphertext after the sharing phase. Secondly, we add non-interactive zero-knowledge (NIZK) proofs to make the CP-ABE ciphertext publicly verifiable by leveraging the sigma protocol and the Fiat-Shamir heuristic. Thirdly, we demonstrate our protocol’s feasibility by presenting a proof-of-concept implementation over Ethereum, which is used as a public channel and a trustworthy computation platform. The implementation is a non-trivial task due to Ethereum’s incompatibility with the bilinear mapping group.
Sleep quality, purpose in life, and health related quality of life among people living with HIV in Nigeria

Abstract Background Sleep has been linked to multiple health outcomes. We aim to determine the relationship between sleep quality, purpose in life, and HRQoL among PLHIV. Methods We conducted a cross-sectional study among 401 PLHIV in the HIV clinic using a structured questionnaire that included their demographics, Pittsburgh Sleep Quality Index (PSQI), Ryff's Scales of Psychological Well-Being, and Veterans RAND 12-item Health Survey (VR-12). Results Ninety-two [22.9%] were classified as having poor sleep quality. Poor sleepers had significantly lower scores in the physical component [48.0 (9.5) vs. 51.2 (7.1), p = . 014] and mental component 44.7 (10.5) vs. 52.1 (9.8), p < . 001 in HRQoL as compared to good sleepers. Purpose in life moderates the effect of sleep quality on the physical component of HRQoL, p interaction = . 003. Conclusion Assessing sleep quality and purpose in life routinely among HIV-infected patients may impact the overall wellbeing of PLHIV.
Studio della molecola PEG su nanostrutture a base argento mediante risonanza plasmonica superficiale

In questa tesi sono implementati i primi due step di progettazione di un biosensore basati sul fenomeno di risonanza plasmonica di superficie (SPR) da utilizzare nell’ambito della sicurezza alimentare, in grado di rilevare la presenza di batteri nei campioni da analizzare. E' stata valutata la sensibilita sensore con superficie attiva funzionalizzata tramite PEG e con anticorpi immobilizzati su di esso
Targeted Drug Delivery for the Treatment of Blood Cancers

Blood cancers are a type of liquid tumor which means cancer is present in the body fluid. Multiple myeloma, leukemia, and lymphoma are the three common types of blood cancers. Chemotherapy is the major therapy of blood cancers by systemic administration of anticancer agents into the blood. However, a high incidence of relapse often happens, due to the low efficiency of the anticancer agents that accumulate in the tumor site, and therefore lead to a low survival rate of patients. This indicates an urgent need for a targeted drug delivery system to improve the safety and efficacy of therapeutics for blood cancers. In this review, we describe the current targeting strategies for blood cancers and recently investigated and approved drug delivery system formulations for blood cancers. In addition, we also discuss current challenges in the application of drug delivery systems for treating blood cancers.
Rental Affordability, Coping Strategies, and Impacts in Diverse Immigrant Communities

Abstract Rental affordability represents a growing issue across the United States. Existing research largely focuses on consumption trade-offs related to rising rents or the impacts of poverty more generally. Much remains unknown about how rental affordability shapes household, family, and community-level dynamics, including differences in impacts and coping strategies across groups. We use data from focus groups with low-income immigrant and refugee households to reveal deep and far-reaching impacts. We show how residents rely upon unique neighborhood-based resources and social support. Citing significant competition for affordable units and their desire to stay in the neighborhood, residents express that they have limited alternatives to their current housing—even as many described harmful housing conditions and housing-related stress. Furthermore, rising housing costs have strained community and family dynamics, undermining social support. These findings illustrate unique and impactful housing affordability dynamics among diverse populations, which extend far beyond household and housing consumption, force impactful trade-offs, and introduce constraints.
Liriodendrin, ameliorates hypertension by calcium channel blockade and enhancing enos expression in wistar rats

Introduction: Hypertension is found to be the prime cause ofdeath worldwide in spite of a number of available treatmentswhich suggests that there is a need of discovering new leadmolecules that would be more effective to treat cardiovasculardisease (CVD). Liriodendrin, the lignan phytoconstituent possessespotential pharmacological effects. Literature survey suggeststhat liriodendrin could be effective in mitigating hypertensionconsidering its structural similarity with reported cardiovascularprotective drugs. Hence liriodendrin is investigated to reveal itsmechanism of actions to support its antihypertensive property.Methods: Hypertension was induced in male wistar rats withDOCA salt. Hypertensive rats were treated with liriodendrin for4 weeks. Blood pressure, heart rate, body weight, lipid profile,serum nitrite levels, vascular reactivity to various catecholamines,in-vitro calcium channel blocking assays, antioxidantassay, determination of aortic calcium level, endothelial function,expression of eNOS analysis were studied.Result: Liriodendrin was found safe orally up to 2000 mg/kg. Itshowed a significant decrease in heart rate, blood pressure andmean arterial pressure. In-vitro study on the isolated rat aorta revealedthe calcium channel blocking potential of liriodendrin. Vascularreactivity to various catecholamines was normalized. Vascularendothelium was significantly protected by the enhancedrelease of nitric oxide and eNOS expression by the western blottechnique. Oxidative stress was also significantly reduced.Conclusion: Liriodendrin was found to be beneficial in hypertensionas it produced vasorelaxation by blocking calciumchannels, enhancing nitric oxide release, and reducing oxidativestress. Thus, liriodendrin may be useful to relieve hypertensionand cardiovascular complications.
Network Function Virtualization and Service Function Chaining Frameworks: A Comprehensive Review of Requirements, Objectives, Implementations, and Open Research Challenges

Network slicing has become a fundamental property for next-generation networks, especially because an inherent part of 5G standardisation is the ability for service providers to migrate some or all of their network services to a virtual network infrastructure, thereby reducing both capital and operational costs. With network function virtualisation (NFV), network functions (NFs) such as firewalls, traffic load balancers, content filters, and intrusion detection systems (IDS) are either instantiated on virtual machines (VMs) or lightweight containers, often chained together to create a service function chain (SFC). In this work, we review the state-of-the-art NFV and SFC implementation frameworks and present a taxonomy of the current proposals. Our taxonomy comprises three major categories based on the primary objectives of each of the surveyed frameworks: (1) resource allocation and service orchestration, (2) performance tuning, and (3) resilience and fault recovery. We also identify some key open research challenges that require further exploration by the research community to achieve scalable, resilient, and high-performance NFV/SFC deployments in next-generation networks.
Factors Affecting Poverty in Indonesia A Panel Data Approach

Poverty is a significant disease in economic development. Thus, the main objective of a country's economic development is to reduce the number of poor people by increasing gross regional domestic product, investment, regional spending, and infrastructure. The purpose of this study is to see and analyze the impact of an increase in gross regional domestic product, investment, regional spending, and infrastructure improvements on the number of poor people. This study uses panel data regression with path analysis. This method can explain the correlated variables by using a sequential model temporarily and identify the path of the cause of a particular variable to other variables that are influenced by it. Data sources come from the Central Bureau of Statistics and Bank Indonesia from 34 provinces in 2015-2019. The study results indicate that an increase in investment and regional spending indirectly affects the reduction of the number of poor people through an increase in the gross regional domestic product. Investment, exchange rates, road length, human development index, and regional spending affect economic growth. Regional expenditure and total population directly affect the number of poor people, while investment does not directly affect the number of poor people.
The Impact of Energy Development of the European Union Euro Area Countries on CO2 Emissions Level

In the last years, the fact of anthropogenic impact on climate change taking place in the world has become indisputable. Both countries and international organizations have taken steps to reduce GHG emissions, move to a low-carbon economy and implement solutions that reduce human impact on the environment. The EU, by intensifying its activities, has also prepared a strategy known as the European Green Deal. In implementing the EGD, it is important to analyze the impact of energy development in energy-intensive sectors of the economy (industry, transport, agriculture, services and other cores) on atmospheric pollution. Energy development is understood as the energy consumption percentage from all its consumption. In the article, complex correlation–regression analysis was implemented, which included not only energy development impact on the CO2 emissions level (i.e., production-based CO2 efficiency), but also its impact on economic growth. The research was conducted for the EU euro area countries. It was determined that the strongest positive correlation is to be found in the transport sector, which implies that with an increase in energy consumption in that sector, production-based CO2 efficiency is increasing. On the other hand, this increment in efficiency was relatively small and was achieved with the rapid growth of the energy consumption. The implemented research confirmed that the transportation sector is the one which is polluting the atmosphere the most with CO2 emissions in the Eurozone. The results of the implemented research could be used for the formation of targeted measures for the green growth strategy implementation, and also for ECB and EIB to support “green” projects.
Within a Carnivalesque Space: The Textual Identity of Danmu and the Rise of Mass Writing

ABSTRACT Danmu is the Chinese pinyin of 弹幕, which is often used to describe the interactive, on-screen commenting system featured by both sub-cultural bullet-screen platforms and dominant video-sharing platforms. While the transformation of the power relationship between the public and the official and between viewer and author has received considerable scholarly attention, less attention has been paid to how the danmu system has affected the textuality of contemporary online audiovisual texts. Based on the Bakhtinian carnival, this paper explores the textual structure and signifying mechanism of danmu. It argues that danmu has dual textual identity, the paratext of online videos and the textual component of bullet-screen videos respectively. Danmu allows viewers to not only make comments on online videos but also reconstruct them. Such interactive construction of online audiovisual texts represents the rise of mass writing.
Pterostilbene Promotes Mean Lifespan in Both Male and Female Drosophila Melanogaster Modulating Different Proteins in the Two Sexes

Aging is a multifactorial phenomenon characterized by degenerative processes closely connected to oxidative damage and chronic inflammation. Recently, many studies have shown that natural bioactive compounds are useful in delaying the aging process. In this work, we studied the effects of an in vivo supplementation of the stilbenoid pterostilbene on lifespan extension in Drosophila melanogaster. We found that the average lifespan of flies of both sexes was increased by pterostilbene supplementation with a higher effect in females. The expression of longevity related genes (Sir2, Foxo, and Notch) was increased in both sexes but with different patterns. Pterostilbene counteracted oxidative stress induced by ethanol and paraquat and up-regulated the antioxidant enzymes Ho e Trxr-1 in male but not in female flies. On the other hand, pterostilbene decreased the inflammatory mediators dome and egr only in female flies. Proteomic analysis revealed that pterostilbene modulates 113 proteins in male flies and only 9 in females. Only one of these proteins was modulated by pterostilbene in both sexes: vacuolar H[+] ATPase 68 kDa subunit 2 (Vha68-2) that was strongly down-regulated. These findings suggest a potential role of pterostilbene in increasing lifespan both in male and female flies by mechanisms that seem to be different in the two sexes, highlighting the need to conduct nutraceutical supplementation studies on males and females separately in order to give more reliable results.
Towards Circular and Asymmetric Cooperation in a Multi-player Graph-based Iterated Prisoner's Dilemma

: In collaborations involving multiple actors, it is well known that tensions between individual interest and global welfare can emerge: actors are personally incentivized to have selfish behavior whereas mutual cooperation may provide a better outcome for all. Known as social dilemmas, these cooperation paradigms have aroused renewed interest in solving social issues, particularly in environmental and energy issues. Hybrids methods with Reinforcement Learning (RL) policies and Tit-for-Tat (TFT) strategies have proven successful to identify fruitful collaboration in complex social dilemmas. However, there are also many situations, where cooperation cannot always be given back directly, and has instead to be carried out through one or more intermediary actor(s). This specificity ruins win-win approaches like TFT. To address this specificity, we introduce a Graph-based Iterated Prisoner’s Dilemma: a N-player game in which the possible cooperation between players is modeled by a weighted directed graph. In addition to this new paradigm, we propose a graph-based TFT algorithm that we evaluate on multiple scenarios and compare to other algorithms. Our experiments show that leveraging a graph-based structure in the original TFT algorithm allows it to spread favor better collaboration synergies in most situations.