Miracle-dz/UniFAR-FTUs huggingface dataset:
A Review on Configurations, Control, and Future of Hybrid Renewable Energy Systems for Electric Power Generation

This paper presents a review on hybrid renewable energy (RE) power generation systems focusing on energy sustainability. It highlights some important issues and challenges in the design and energy management of hybrid RE systems. System configurations, generation unit sizing, storage needs, and energy management and control are addressed. Statistics on the current status and future trend of renewable power generation, as well as some critical challenges facing the widespread deployment of RE power generation technologies and vision for future research in this area are also presented. The comprehensive list of references given at the end of the paper should be helpful to researchers working in this area.
Power Efficient Dual Dynamic Node Flip Flop with Embedded Logic by Adopting Pulse Control Scheme

In this paper a low power conditionally pulse enhanced dual dynamic node flip flop design is presented. The proposed structure combines the merits of dual dynamic node and a pulse control scheme (PCS) named conditional pulse enhancement mechanism. It eliminates the large capacitance present in the precharge node of several conventional designs by following a split dynamic node structure to separately drive the output pull-up and pull-down transistors. The conditional pulse enhancement scheme consists of a simple pass transistor ‗AND‘ gate design and a pull up ‗pMOS‘. This set up reduces circuit complexity and removes the pulse generation control logic from the critical path, which facilitate a faster discharge operation as well as improvise the discharge speed conditionally. Various pre-layout simulation results based TSMC 180-nm technology reveal that the proposed design features the best power-delay-product performance compared to SDFF, HLFF, and DDFF. It also presents an area, power, and speed efficient method to incorporate complex logic functions into the flip flop. The performance improvements indicate that the proposed designs are well suited for modern high-performance designs where power dissipation and latching overhead are of major
An Approach for Agile Interdisciplinary Digital Humanities Research - a Case Study in Journalism

In this paper, we present insights into how a research process facilitating fluent interdisciplinary collaboration was developed for a project joining together 1) computer scientists, 2) linguists and 3) media scholars. In lieu of describing the actual results from our analyses in the project, we instead describe our approach, and how it led into a versatile general template for an iterative and discursive approach to digital humanities research, which moves toward questions of interest both fast, as well as with high capability to truly capture the phenomena from the viewpoints of interest
Choice of optional parameters determining partial forgetting

Presented work deals with the choice of optional parameters determining partial forgetting. The main objective is to design an algorithm for the development of the optional parameters in time in the optimal way, which would be better than usage of constant parameters. For this purpose, the Bayesian dynamic decision making, general principles of tracking the slowly varying parameters via forgetting and partial forgetting method are presented. To make computations feasible the exponential family
Microleakage of Class II Cavity Preparation Restored with Three Different Dental Composite Restorative Materials (A Comparative In Vitro Study)

There are many factors that affect microleakage at the toothrestoration interface, including the bond strength between the adhesive and the tooth structure, residual stresses due to polymerization shrinkage of the composite resin, discrepancies between the thermal expansion coefficients of enamel and dentin on one hand and that of the restorative material on the other hand, and occlusal forces [6].
A 120nW 18.5kHz RC oscillator with comparator offset cancellation for ±0.25% temperature stability

Integrated low-frequency oscillators can replace crystal oscillators as sleep-mode timers to reduce the size and cost of wireless sensors [1]. Since the timer is one of the few continuously functioning circuits, minimizing its power consumption can greatly reduce sleep-mode power of highly duty-cycled systems. Temperature stability of the oscillator is important in order to minimize timing uncertainly and guard time for the radios, and thus maximizing sleep time. The voltage-averaging feedback method described in [2] achieves high stability in the MHz frequencies, but when scaled to the kHz range, requires very large filters. On the other extreme, gate leakage-based timers have been designed for sub-nW power consumption, but operate in the sub-Hz frequencies [3]. In the past, high accuracy RC oscillators in the kHz range have been designed with feed-forward correction [1] and self-chopped operation [4]. In this work, an offset cancellation architecture achieves long-term frequency stability and temperature stability while operating at lower power.
Multi-Viewpoints Ontology of Risk Management

Risk management is the process of managing uncertainty through the identification, analysis, evaluation and treatment of risks. In a real scenario, the process must be closely aligned with the business, meaning the concepts, techniques and practices suitable for risk management application have a strong dependency from the context of the problem. In a first moment that lead to a proliferation of specialized frameworks defining how risk management should be established and implemented in specific domains, and therefore privileging specific viewpoints. However, if on one side that can prove to be effective, the specialization can also be a limitation to the practice of risk management in scenarios of multiple heterogeneous domains, which is increasingly a common need in the enterprise world. Consequently, there is a need to solve the problem of integrating or simply reconciling several domains in common contexts, a challenge recognized in the literature. This work intends to address that problem, proposing to contribute for its solution by suggesting that an adequate conceptualization using a multi-viewpoints ontology alignment at a meta-model level can support the definition, integration and reconciliation of risk management multiple viewpoints.
Effect of High L/D-Ratio and Nozzle Pressure Ratio (NPR) in a Suddenly Expanded Flow

This paper presents an investigational analysis of the efficiency of very small jets to control base pressure in abruptly expanded axi-symmetric ducts. 4 very small jets of one millimeter diameter installed at a gap of 90 along a pcd of 1.3 times the nozzle outlet diameter in the bottom region were used as dynamic controls. Mach numbers of the suddenly expanded flows were 1.25, 1.3, 1.48, 1.6, 1.8, 2.0, 2.5 and 3.0. The jets were expanded abruptly into a tube of flow area 2.56, 3.24, 4.84 and 6.25 times that of nozzle outlet area. The length to diameter relation of the abruptly expanding tube was varied from ten to one. However, the results presented are for high L/D ratio; since the flow will remain attached with the duct wall for all the Mach numbers and the NPRs tested. It is observed that the level of expansion plays an important role to fix the value of the base pressure. Whenever, the flow is over expanded, there will be an oblique shock at the nozzle lip which will result in increase of the base pressure and the formation of the shocks will continue till the pressure becomes atmospheric pressure. It is established that the very small jets can be used as dynamic controllers for bottom pressure. Also, the very small jets do not badly effect the wall pressure distribution. Keywords— Base pressure, Nozzle, Micro jets, Wall Pressure, Sudden Expansion
A REVIEW ON TRANSFER LEARNING IN MEDICAL IMAGING

Machine learning techniques are increasingly successful in image-based diagnosis, disease prognosis, and risk assessment. Transfer learning has emerged as a new machine learning framework that uses knowledge from similar learning tasks and domains to increase the performance of a target learning task. Very recently transfer learning has started to be investigated in medical imaging. This paper highlights new research directions related to machine and transfer learning in medical imaging. 2010
Overproduction of Th1 Cytokines Acute Toxoplasmosis Leads to Lethal

Virulence in Toxoplasma gondii is strongly inﬂuenced by the genotype of the parasite. Type I strains uniformly cause rapid death in mice regardless of the host genotype or the challenge dose. In contrast, the outcome of infections with type II strains is highly dependent on the challenge dose and the genotype of the host. To understand the basis of acute virulence in toxoplasmosis, we compared low and high doses of the RH strain (type I) and the ME49/PTG strain (type II) of T. gondii in outbred mice. Differences in virulence were reﬂected in only modestly different growth rates in vivo, and both strains disseminated widely to different tissues. The key difference in the virulent RH strain was the ability to reach high tissue burdens rapidly following a low dose challenge. Lethal infections caused by type I (RH) or type II (PTG) strain infections were accompanied by extremely elevated levels of Th1 cytokines in the serum, including IFN- (cid:1) , TNF- (cid:2) , IL-12, and IL-18. Extensive liver damage and lymphoid degeneration accompanied the elevated levels of cytokines produced during lethal infection. Increased time of survival following lethal infection with the RH strain was provided by neutralization of IL-18, but not TNF- (cid:2) or IFN- (cid:1) . Nonlethal infections with a low dose of type II PTG strain parasites were characterized by a modest induction of Th1 cytokines that led to control of infection and minimal damage to host tissues. Our ﬁndings establish that overstimulation of immune responses that are normally necessary for protection is an important feature of acute toxoplasmosis. The Journal of Immunology, 2001, 167: 4574–4584. II IFN- In the high serum levels of Th1 cytokines during lethal toxoplasmosis in wild-type to an of down-reg-ulatory IL-10, cytokine was also in serum during lethal Recent studies indicate IL-10 can proinﬂammatory during human endotoxemia that during lethal toxoplasmosis in mice, IL-10 enhance the of inﬂammatory cytokines.
IN VITRO STUDY ON ALPHA AMYLASE INHIBITORY ACTIVITY OF MURRYA KOENIGII: EFFECT OF EXTRACTION SOLVENTS

Murrya koenigii Linn. Spreng Wettst (M. koenigii L.) is a medicinal plant. In traditional medicine the plant is used to treat leukoderma, piles, stomach problem, kidney pain and blood disorders. Different parts of the plant showed pharmacological activities like anti cancer, anti inflammatory, anti oxidant, anti diabetic, gastro protective, hepato protective, photo-protective anti gastric ulcer, anti microbial etc. The plant also possesses alpha amylase inhibitory activity. Aim of the present work was to check effect of solvent extracts on in vitro alpha amylase inhibitory activity of M. koenigii L. leaves. M. koenigii L. was collected from the local market and identified by the taxonomist. Solvent extractions of the leaves were made separately by using chloroform, petroleum ether, ethanol, isopropanol and hexane. Extracts were separately dried and processed for in vitro alpha amylase inhibitory activity by standard method. Acarbose, an alpha amylase inhibitor, was used as control. Results showed that ethanol extract of M. koenigii L. leaves had maximum alpha amylase inhibitory activity in comparison to that of other solvent extracts. In vitro alpha amylase inhibitory activity of ethanol extract of M. koenigii L. leaves (IC50 value 36.72±1.50 μg/mL) was also comparable to that of acarbose (IC50 value 66.66±1.6 μg/mL). This study therefore indicates uses of ethanol extract of M. koenigii L. leaves in the management of diabetes. World Journal of Pharmaceutical Research SJIF Impa t Factor 8.074 Volume 8, Issue 9, 1232-1240. Research Article ISSN 2277– 7105 Article Received on 08 June 2019, Revised on 29 June 2019, Accepted on 18 July 2019 DOI: 10.20959/wjpr20199-15520 *Corresponding Author
AN INVESTIGATION ON PESTICIDE ENCAPSULATION IN BINDING COMPONENTS

The encapsulation of the pesticides Perozin E and Ridomil Gold was studied and their content in aqueous emissions was determined during the storage of the capsules obtained. The epoxy resins Epoxal II and Versamid and cement were used as binders. Capsules containing 5, 10, 15 and 20 g Perozin E and Ridomil Gold in epoxy resins, and 2, 4, 6, 8 and 10 g pesticides in cement were prepared. The capsules were kept in water and the emissions of pesticides were periodically analyzed by HPLC. The results showed that the emission levels from epoxy capsules were low enough in the aqueous phase and reached 2.5-3.3 mg l. The emission levels from cement capsules were quite higher (up to 15 mg l) and concentration equilibrium was not observed for the whole period of the investigation. Keyword: pesticides, encapsulation, HPLC.
MICROFLUIDIC POLYIMIDE CHIPS FABRICATED BY LAMINATION PROCESSES FOR X-RAY SCATTERING APPLICATIONS

A polyimide microfluidic chip was developed for X-ray scattering applications based on a reliable and inexpensive lamination process. The device has been characterized in terms of bonding resistance and X-ray scattering and transmission. The microfluidic chip will be used to study protein conformational changes under controlled shear stress conditions which could play a role in human microcirculation.
University of Groningen The Mitogen-Activated Protein Kinase p38 alpha Regulates Tubular Damage in Murine Anti- Glomerular Basement Membrane Nephritis

p38 mitogen-activated protein kinase (MAPK) is thought to play a central role in acute and chronic inflammatory responses. Whether p38MAPK plays a pathogenic role in crescentic GN (GN) and which of its four isoforms is preferentially involved in kidney inflammation is not definitely known. We thus examined expression and activation of p38MAPK isoforms during antiglomerular basement membrane (GBM) nephritis. Therefore, p38a conditional knockout mice (MxCre-p38a) were used to examine the role of p38a in anti-GBM induced nephritis. Both wild type and MxCre-p38a mice developed acute renal failure over time. Histological examinations revealed a reduced monocyte influx and less tubular damage in MxCre-p38a mice, whereas glomerular crescent formation and renal fibrosis was similar. Likewise, the levels of proand antiinflammatory cytokines such as TNF, IL-1 and IL-10 were similar, but IL-8 was even up-regulated in MxCre-p38a mice. In contrast, we could detect strong down-regulation of chemotactic cytokines such as CCL-2, -5 and -7, in the kidneys of MxCre-p38a mice. In conclusion, p38a is the primary p38MAPK isoform expressed in anti-GBM nephritis and selectively affects inflammatory cell influx and tubular damage. Full protection from nephritis is however not achieved as renal failure and structural damage still occurs. Citation: Müller R, Daniel C, Hugo C, Amann K, Mielenz D, et al. (2013) The Mitogen-Activated Protein Kinase p38a Regulates Tubular Damage in Murine AntiGlomerular Basement Membrane Nephritis. PLoS ONE 8(2): e56316. doi:10.1371/journal.pone. 0056316 Editor: Yulia Komarova, University of Illinois at Chicago, United States of America Received August 26, 2012; Accepted January 8, 2013; Published February 18, 2013 Copyright: 2013 Müller et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: This work was supported by the grant SFB 423 of the Deutsche Forschungsgemeinschaft (DFG, projects A34 and Z2), the KINACEPT project of the European Union and the Interdisciplinary Centre for Clinical Research Erlangen (IZKF). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing Interests: The authors have declared that no competing interests exist. * E-mail: jochen.zwerina@uk-erlangen.de
and discussing existing metric

ecent advances in evaluating and measuring the perceived visual quality of three-dimensional (3-D) polygonal models are presented in this article, which analyzes the general process of objective quality assessment metrics and subjective user evaluation methods and presents a taxonomy of existing solutions. Simple geometric error computed directly on the 3-D models does not necessarily reflect the perceived visual quality; therefore, integrating perceptual issues for 3-D quality assessment is of great significance. This article discusses existing metrics, including perceptually based ones, computed either on 3-D data or on two-dimensional (2-D) projections, and evaluates their performance for their correlation with existing subjective studies
Appreciation in Relationships (AIR) Scale: Preliminary Evidence of Validity and Accuracy in Brazil

This study aimed to adapt the Appreciation in Relationships (AIR) scale for the Brazilian context and to seek evidence of validity and accuracy, based on evidence of construct validity (i.e. factor analysis and internal consistency). The sample consisted of 233 people in amorous relationships from 15 Brazilian states, over 18 years of age. The majority were women (52.4%), even though a population with a homogeneous composition was sought to respond to the instruments: AIR and Sociodemographic Questionnaire. Through Structural Equation Modeling, with Confi rmatory Factor Analysis, the theory regarding the existence of two factors was confi rmed. The two-factor model presented the following fi t indices: χ2 / df = 2.70, CFI = 0.97, TLI = 0.96, RMSEA (90%CI) = 0.08 (0.07-0.10). It was concluded that the AIR presents acceptable evidence regarding the psychometric parameters in the context, and can be used in further studies on appreciation in relationships.
Exploring natural language principles with respect to algorithms of deep neural networks

Neural networks are the state-of-the-art method of machine learning for many problems in natural language processing (NLP). Their success in machine translation and other NLP tasks is phenomenal, but their interpretability is challenging. Inspired by the semantic properties of the word2vec vector representations of words, we want to find out how neural networks represent meaning. In order to do this, we propose to examine neural networks in NLP, research methods for their interpretation, concept of meaning in the philosophy of language and find a methodology that would enable us to connect these areas in a principled manner.
B I -D IRECTIONAL A TTENTION F LOW FOR M ACHINE C OMPREHENSION

Machine comprehension (MC), answering a query about a given context para-graph, requires modeling complex interactions between the context and the query. Recently, attention mechanisms have been successfully extended to MC. Typically these methods use attention to focus on a small portion of the context and summarize it with a ﬁxed-size vector, couple attentions temporally, and/or often form a uni-directional attention. In this paper we introduce the Bi-Directional Attention Flow (B I DAF) network, a multi-stage hierarchical process that represents the context at different levels of granularity and uses bi-directional attention ﬂow mechanism to obtain a query-aware context representation without early summarization. Our experimental evaluations show that our model achieves the state-of-the-art results in Stanford Question Answering Dataset (SQuAD) and CNN/DailyMail cloze test.
Optimization (PSO) based algorithm optimizes the solution by considering multiple factors such as time and number of vehicles

This paper considers a dynamic route planning problem (DRPP) involving the optimization of a route for a single vehicle traveling between a given source and given destination. Although route planning has been widely studied, most of the available applications are primarily targeted at finding the shortest path (SP) routes, which is insufficient for dynamic route planning in real life scenario. For example, the travel time for the SP may not correspond to the overall shortest time (ST) route due to varying road conditions. In this paper, the proposed Hybrid Evolutionary Algorithm for solving the Dynamic Route Planning Problem (HEADRPP) is believed to be capable of solving this problem. The proposed HEADRPP comprises a Fuzzy Logic Implementation (FLI) and a Graph Partitioning Algorithm (GPA) incorporated into a Genetic Algorithm (GA) core, and offers both optimized SP and ST routes to the user. In this paper, the proposed HEADRPP is successfully tested on a 138 node network extracted from the Singapore Map, and its performance on SP optimization is compared with a pure GA and an ant based algorithm. Overall the performance of the proposed HEADRPP is shown to be robust to the dynamic nature of the DRPP.
The Security Advantages of Hardware Tokens over Software Tokens for PKI Applications

In this document, we compare the security of software-based PKI solutions to the security of hardware-based PKI solutions. The essence of our argument is that computers today are inherently insecure mediums, and thus software-based PKI solutions are vulnerable to attacks. In contrast, hardware-based solutions – and in particular smart card tokens (in USB or card form factor) – are able to protect the secrecy of keys even in insecure environments. This is crucial for the success of eCommerce.
Line geometry and 3D graphic statics

The mathematical basis for the line geometry, with the line as its basic element, is presented in the paper because the forces that act on a body in space whether we are interested in conditions of movement or immobility (balance) of that body are vectorial values related to specific lines of action, so that the system of forces can be linked to the set of lines in space. The application of line geometry has proven the known claim that the system of forces in space, provided the forces are in a general position, can be reduced to two forces on reciprocal lines. The visualisation of this claim via the 3D graphic statics is also presented.
Beta Amyloid, Brain-Derived Growth Factor and Cognitive Function in Circadian Rhythm Disturbances

Objective: this study observes the changes of cognitive function, β-amyloid peptide (Aβ) and Brain-derived growth factor (BDNF) in circadian rhythm disturbances (CRDs). Method: Animal models of CRDs induced by light-dark cycles in different periods. Cognitive function in mice was detected by water maze test. BDNF and Aβ levels were determined ELISA Kit. Result: In CRDs, there were cognitive function declines, BDNF decreased and Aβ increased. Conclusion: CRDs can lead to cognitive function declines; it was related to BDNF decreased and Aβ increased.