Miracle-dz/UniFAR-FTUs huggingface dataset:
Distance Protection Analysis Applied for Distribution System with Distributed Generation

In power systems, the over-current protection scheme and, optionally with directional function, and distance function are the main protection used, principally, where the power flow is on both sides as in distribution system with distributed generation (DG), for example. However, with the increasing of DG penetration in the distribution system, these protections can not be secure and impacts in the coordination of the protection are caused due to the power flow is on both sides. Therefore, new types of protection as distance protection are candidates to solve the coordination problem in the distribution system with DG. In this paper, is proposed an application of the distance protection in the distribution system with DG, and several cases of faults and the impacts on the distance protection are evaluated in presence of DG. In the simulation and analysis of faults were varied the fault inception angle, fault type, fault resistance, and fault location. The correct and bad trips are analyzed to evaluate the distance relay performance. The distance relay used in the distribution system with DG had good performance in all simulation cases. Besides, the better performance of the distance protection proves which may be used in distribution systems with DG. Streszczenie. W systemach energetycznych zabezpieczenie przed przeciążeniem prądowym (opcjonalnie wraz z funkcją kierunku i odległości) jest główną metoda zabezpieczenia, szczególnie gdy moc może być przekazywana w dwóch kierunkach. W artykule zaproponowano nowy typ zabezpieczenia uwzględniający funkcje odległości. Uwzględniono też możliwość wykrywania błędów i możliwość określania ich położenia. Analiza zabezpieczeń uwzględniających funkcje odległości w rozproszonych systemach wytwarzania energii.
DAG-based Task Orchestration for Edge Computing

Edge computing promises to exploit underlying computation resources closer to users to help run latency-sensitive applications such as augmented reality and video analytics. However, one key missing piece has been how to incorporate personally owned, unmanaged devices into a usable edge computing system. The primary challenges arise due to the heterogeneity, lack of interference management, and unpredictable availability of such devices. In this paper we propose an orchestration framework IBDASH, which orchestrates application tasks on an edge system that comprises a mix of commercial and personal edge devices. IBDASH targets reducing both end-to-end latency of execution and probability of failure for applications that have dependency among tasks, captured by directed acyclic graphs (DAGs). IBDASH takes memory constraints of each edge device and network bandwidth into consideration. To assess the effectiveness of IBDASH, we run real application tasks on real edge devices with widely varying capabilities. We feed these measurements into a simulator that runs IBDASH at scale. Compared to three state-of-the-art edge orchestration schemes and two intuitive baselines, IBDASH reduces the end-to-end latency and probability of failure, by 14% and 41% on average respectively. The main takeaway from our work is that it is feasible to combine personal and commercial devices into a usable edge computing platform, one that delivers low and predictable latency and high availability.
Does Environmental Regulation Drive Specialisation in Green Innovation?

We examine the response of technological change to one of the major environmental regulations in the European Union (EU) (cid:21) the Ambient Air Quality Directive (AAQD). Our identi(cid:28)cation strategy exploits the structure of this directive, which imposes air quality measures in regions exceeding pollutant concentration limits. We implement a quasi di(cid:27)erence-in-di(cid:27)erences strategy and test for the e(cid:27)ect of environmental measures on innovation in 654 technology classes at the EU region (NUTS-2) level over the 1999-2015 period. We show that AAQD environmental measures drive the specialisation of regions in green technologies. We (cid:28)nd a positive e(cid:27)ect for patents in the two most prevailing green technology classes, i.e., clean energy and industrial processes, as well as evidence of spatial leakage.
A power sequence model as a bridge between fundamental natural constants and macroscopic liquid systems

A simple mathematical interaction function, with the limit value w = e 2π/e , derived as a basis for modelling emergent properties of nanoparticles, nanodrops and liquids, has been further developed. A correlation between physical systems of uniform particles and fundamental properties of natural numbers leads to a model, which acts as a bridge between properties of macroscopic systems and fundamental physical constants. The four fundamental coupling constants, and the masses of fundamental elementary particles, including the Higgs and Z bosons, are derived by using this interaction function. A proposal for the mass of the electron neutrino is given. Finally, the nuclear binding interaction is modeled with the interaction function. Only the experimental values of the Planck constant h and the speed of light c are needed for the model.
Genome Sequence of CaiB, a DR Cluster Actinobacteriophage That Infects Gordonia rubripertincta

CaiB is a DR cluster actinobacteriophage that was isolated from soil in Florida using Gordonia rubripertincta NRRL B-16540 as the host. The genome is 61,620 bp, has a GC content of 68.6%, and contains 85 predicted protein coding genes. CaiB has several putative operons and has repeated intergenic regions that may be involved in gene regulation. ABSTRACT CaiB is a DR cluster actinobacteriophage that was isolated from soil in Florida using Gordonia rubripertincta NRRL B-16540 as the host. The genome is 61,620 bp, has a GC content of 68.6%, and contains 85 predicted protein coding genes. CaiB has several putative operons and has repeated intergenic regions that may be involved in gene regulation.
Draft Whole-Genome Sequences of the Polar Cyanobacterium Leptolyngbya sp. Strain Cla-17 and Its Associated Flavobacterium

Draft whole-genome sequences of a coculture are presented. One component was a polar cyanobacterium, Leptolyngbya sp. strain Cla-17. The second was a heterotrophic bacterium, Flavobacterium saccharophilum, found in the phycosphere of the cyanobacterium. ABSTRACT Draft whole-genome sequences of a coculture are presented. One component was a polar cyanobacterium, Leptolyngbya sp. strain Cla-17. The second was a heterotrophic bacterium, Flavobacterium saccharophilum, found in the phycosphere of the cyanobacterium.
Lithium Battery Charging Circuit

The invention discloses a lithium battery charging circuit. The lithium battery charging circuit comprises a charging management module and a lithium battery. The lithium battery charging circuit further comprises a protective circuit for preventing the lithium battery from overcharging and over-discharging; the protective circuit comprises a lithium battery protecting chip and a switch chip; an anode of an output end of the charging management module is connected to a n anode of the lithium battery and an anode of the power source of the lithium battery protecting chip, and a cathode of the lithium battery is connected to a cathode of the power source of the lithium battery protecting chip and one connecting end of the switch chip; the other one connecting end of the switch chip is connected with a grounding end of the charging management module; the output end of the lithium battery protecting chip is connected with the control end of the switch chip. The circuit has a protective circuit for overcharging and discharging, and is capable of preventing the lithium battery from overcharging and discharging.
Temperature dependences of dielectric characteristics of sodium-lithium niobate porous ceramics

Abstract We studied the samples of piezoelectric lithium-sodium niobate (LNN) porous ceramics with a pore content of 10 volume percent obtained by “wet” and “dry” methods. The temperature and frequency dependences of the complex permeability and admittance of the samples were analyzed. It was shown that the dielectric properties of porous LNN samples depended on the presence of ethyl alcohol at the stage of preparation of blanks. The frequency dependences of the admittance made it possible to conclude that hopping conductivity existed in these samples over localized states of electrons at impurity centers in the frequency range up to 106 Hz.
Optical spectroscopy and unusual temperature shift of f – f zero-phonon luminescence lines: KTaO3:Er

Abstract We present a study of KTaO3:Er (≈0.05%) single crystals based on a multifaceted approach including the use of optical absorption, far-infrared reflectivity, electron paramagnetic resonance, photoluminescence spectra, and ab initio simulations. We describe briefly the fundamental consequences of Er doping, in particular, stiffening of TO1 soft mode of KTaO3. We provide information about energy level structures controlling f – f optical transitions in Er3+, on formation of minor cubic octahedral and major orthorhombic Er3+ centers. It is revealed that the temperature shift of narrow zero-phonon emission lines is strikingly unusual being much larger than that typical for trivalent rare-earth impurities.
Career development or career delay? Postdoctoral fellowships and the de-professionalizing of academic work in South African universities

Abstract This paper argues that the South African postdoctoral fellow system is de-professionalising academic work by constituting postdocs as students who receive training from the university rather than employees who work for it. Ironically, it obscures this de-professionalisation with a discourse of postdoctoral fellowships as ‘professional development’ opportunities. This case is made through a critical discourse analysis which contrasts the way universities construct postdoctoral fellowships on their websites with a structural analysis of the functions postdoctoral fellows fulfil within a commodifying higher education system. Postdocs produce research outputs for universities more cheaply than employees, and in a way which makes universities score better on various metrics that only count permanently-employed academics. Considering Fairclough’s ideas about the relationship between semiotic and other elements of institutions, the discourse of ‘professional development’ serves as a delaying and distracting tactic which keeps us from asking whether academic scholars should be supported by stable employment.
Academic Brexodus? Brexit and the dynamics of mobility and immobility among the precarious research workforce

Abstract The article contributes to the emerging literature on the intersection of academic mobility and precarity by examining the impact of the 2016 Brexit referendum result on the mobility and immobility projects of migrant academics on temporary contracts. We draw on 22 interviews conducted with early-career researchers in the UK and Switzerland. We examine how the Brexit process threatened participants’ sense of citizenship and belonging, heightening their sense of vulnerability both as migrants and as temporary workers, sometimes making immobility the only viable option. We show how it made visible hidden hierarchies and fault lines, prompting unequal strategies as researchers struggled to maintain their prerogatives as members of their communities. Passport privilege and the ‘good migrant’ figure emerged as central to these individualised strategies. The article challenges the framing of academic mobility as a natural and beneficial career move for early-career researchers grappling with the added uncertainties caused by Brexit.
SaARSP: An Architecture for Systolic-Array Acceleration of Recurrent Spiking Neural Networks

Spiking neural networks (SNNs) are brain-inspired event-driven models of computation with promising ultra-low energy dissipation. Rich network dynamics emergent in recurrent spiking neural networks (R-SNNs) can form temporally based memory, offering great potential in processing complex spatiotemporal data. However, recurrence in network connectivity produces tightly coupled data dependency in both space and time, rendering hardware acceleration of R-SNNs challenging. We present the first work to exploit spatiotemporal parallelisms to accelerate the R-SNN-based inference on systolic arrays using an architecture called SaARSP. We decouple the processing of feedforward synaptic connections from that of recurrent connections to allow for the exploitation of parallelisms across multiple time points. We propose a novel time window size optimization (TWSO) technique, to further explore the temporal granularity of the proposed decoupling in terms of optimal time window size and reconfiguration of the systolic array considering layer-dependent connectivity to boost performance. Stationary dataflow and time window size are jointly optimized to trade off between weight data reuse and movements of partial sums, the two bottlenecks in latency and energy dissipation of the accelerator. The proposed systolic-array architecture offers a unifying solution to an acceleration of both feedforward and recurrent SNNs, and delivers 4,000X EDP improvement on average for different R-SNN benchmarks over a conventional baseline.
Using UAV Photogrammetric Technique for Monitoring, Change Detection, and Analysis of Archeological Excavation Sites

The shrinkage of the sensors installed in unmanned aerial vehicles and the increase in data quality have provided great advantages to UAV users, especially in analysis and interpretation works. Archaeologists, in particular, can take full advantage of new opportunities to research and identify objects and artifacts, using remote sensing methods, by studying the past at excavation sites using modern technologies such as UAVs. These methods enable researchers to discover objects on the ground with the help of sensors. This study includes the UAV monitoring, documentation, and analyses of the excavation works that took place in 2014 (phase 1), 2017 (phase 2- phase 3), and 2020 (phase 4) at the Ancient Theatre of Uzuncaburç built in the Roman Empire. For this purpose, photos were taken with the UAV for each phase, and measurements were made from the excavation site's points with precision gauges (total-station and GNSS). 3D point cloud, orthophoto map, Digital Elevation Model (DEM) map, and 3D models of each phase were produced with the taken pictures. Since UAV photogrammetry was used in this study, each excavation phase was recorded precisely. This, unlike classical documentation techniques, enabled the deformations in the excavation areas to be revealed. The 3D position accuracy calculated for the control point (ChP) used in the four excavation phases ranges from 5.8 mm to 33.5 mm. The most important feature of this study is the sensitive examination of the changes in the excavation area for many years with the UAV photogrammetry technique. At the end of the study, the excavation phases and the determination of the deformation points in the excavation area were recorded digitally.
High-Performance FPGA-accelerated Chiplet Modeling

With the advent of 2.5D and 3D packaging, there has been increasing interest in chiplet architectures, which provide a cost-effective solution for large-scale systems. Chiplets reduce fabrication cost via yield improvement and also provide an opportunity to conveniently in-corporate accelerators to existing systems. Currently, there are existing performance models for the RoCC near-core interface in FireSim, and PCIe is an old standard that is very well ex-plored. However, the latency of chiplet interfaces is between that of the two aforementioned technologies, and is not well studied yet. As such, it has become increasingly important to productively and accurately model performance and latency of chiplet interconnects. Hence, this project aims to support high-performance chiplet connection and system modeling in FireSim, an FPGA-accelerated hardware simulation system, which will enable further studies on both hardware and software systems management for chiplet systems.
Unraveling the Diagnosis of Kiwifruit Allergy: Usefulness of Current Diagnostic Tests

To determine the usefulness of the in vitro and in vivo methods used in the diagnosis of kiwifruit allergy and to specifically assess the impact of seed proteins on sensitivity. Methods: We performed skin prick tests (SPTs) using various commercial extracts, homemade pulp, and seed extracts and prick-prick tests with kiwifruit on 36 allergic patients. The presence of specific IgE (sIgE) was assessed using the ImmunoCAP (kiwifruit extract), ELISA (Act d 1, Act d 2), ISAC, and FABER assays. Immunoblotting of seed extract was carried out, and a single-blind oral food challenge was performed with whole seeds in seed-sensitized individuals. Results: The prick prick test with kiwifruit demonstrated the highest diagnostic capacity (81.8% sensitivity and 94.1% specificity) among the in vivo tests. The sIgE levels measured using ImmunoCAP (kiwifruit extract) showed a similar sensitivity to that of global ISAC and FABER (63.9%, 59.5%, and 58.3%, respectively). Act d 1 was the major allergen. Sensitization to Act d 1 was associated with positive sIgE results to whole kiwifruit extract detected by ImmunoCAP (P<.000). A positive SPT result to kiwifruit seeds was associated with severe symptoms induced by kiwifruit (P=.019) as a marker of advanced disease, but not with clinically relevant sensitization. Challenge testing with kiwifruit seeds performed on 8 seed-sensitized patients yielded negative results. Conclusions: Sensitization to Act d 1 is associated with a positive result in conventional diagnostic techniques, whereas kiwifruit seed sensitization does not increase the sensitivity of the diagnostic techniques evaluated.
Exploration of Aqueous Phyllanthus amarus Leaf Extract as a Protective Agent in Mercury Chloride-Exposed Wistar Rats: A Neurobehavioural Study

: Mercury (Hg) exposure is known to damage vital components of the central nervous system primarily through oxidative stress. Although Phyllanthus amarus (PA) is reported to be rich in antioxidants, there is a dearth of relevant research evidence to show its protective activity against Mercuric chloride (HgCl 2 )-induced neurotoxicity. Accordingly, this study was designed to investigate the possible protective activity of aqueous Phyllanthus amarus leaf extract (APALE) in HgCl 2 -exposed rats using standard neurobehavioral assessments. Thirty adult Wistar rats were randomized into six groups of five rats each viz: A: Control, distilled water; B: HgCl 2 (4 mg/kg body wt.); C: APALE (200 mg/kg body wt.) + HgCl 2 (4 mg/kg); D: APALE (400 mg/kg body wt.) + HgCl 2 (4 mg/kg); E: APALE (200 mg/kg body wt.); F: APALE (400 mg/kg body wt.). All administrations were through an orogastric tube for 14 days. Thereafter, neurobehavioral tests (open field, novel object and Y-maze) were done and experimental rats were sacrificed by cervical dislocation. Body, brain and cerebellar weights were examined across all groups. HgCl 2 exposure significantly (p<0.0.05) decreased whole body weight across experimental groups. Similarly, a reduction in brain and cerebellar weight was observed. Significant neurobehavioral alterations to locomotion, discrimination index and cognition/memory, induced by HgCl 2 , were observed across experimental groups. However, protection against the deleterious effects induced by HgCl 2 was observed following pretreatment with APALE. Conclusively, these findings show that APALE demonstrated potent protective activity against HgCl 2 -induced neurotoxicity and may be useful in the management of Hg toxicity and other related disorders.
Exploiting TRIZ Tools for enhancing systematic conceptual design activities

Abstract Systematic design methods are widely diffused in academia, representing a standard in many engineering courses. Nevertheless, some flaws related to the conceptual design phase have been ascribed to these methods, especially concerning a non-comprehensive support to innovation. However, literature acknowledges several creativity-enhancing tools that can be conveniently combined with systematic design methods. In particular, many scholars refer to TRIZ, i.e. the well-known Russian problem-solving theory. Moreover, recent literature contributions propose some alternatives to the classical Functional Decomposition and Morphology (FDM), claiming to overcome some of the related flaws. One of them is the Problem Solution Network (PSN) approach, i.e. a systematic conceptual design method strongly based on a problem-solution co-evolutionary logic. In this context, our work aims at combining the potentialities of TRIZ with the benefits claimed for the PSN, by proposing a comprehensive integration procedure. Accordingly, this paper reports a detailed description of the proposal, where TRIZ tools are exploited to support problem solving within the PSN approach. Furthermore, an application is also reported where an industrial case study is presented to argue about possible potentialities and lacks of the proposed approach.
Orchestration in Practice: A Case in Asset Intensive Industry Orchestration in Practice: A Case in Asset Intensive Industry

Ecosystem governance and orchestration within networks seek to explain how some firms, based on organizational-level characteristics, are comparatively more able to become central actors in a prevailing network structure and thus manage business networks and value chains. This paper scrutinizes the understanding of orchestration by exploring the orchestrating efforts of an entrepreneurial firm. The findings expose that there are variable efforts and attention directed towards differentiated partners classified as technology, application, service and industrial partners. Further, there were technical, industrial and commercial orchestration. The paper has two contributions to the literature: showing how orchestration is actually done in practice, through differentiated partner orchestration, and proposing an integrated interdisciplinary understanding of orchestration that builds on literature streams of information systems, service-dominant logic and strategic management.
Mitochondrial Ribosome Dysfunction in Human Alveolar Type II Cells in Emphysema

Pulmonary emphysema is characterized by airspace enlargement and the destruction of alveoli. Alveolar type II (ATII) cells are very abundant in mitochondria. OXPHOS complexes are composed of proteins encoded by the mitochondrial and nuclear genomes. Mitochondrial 12S and 16S rRNAs are required to assemble the small and large subunits of the mitoribosome, respectively. We aimed to determine the mechanism of mitoribosome dysfunction in ATII cells in emphysema. ATII cells were isolated from control nonsmokers and smokers, and emphysema patients. Mitochondrial transcription and translation were analyzed. We also determined the miRNA expression. Decreases in ND1 and UQCRC2 expression levels were found in ATII cells in emphysema. Moreover, nuclear NDUFS1 and SDHB levels increased, and mitochondrial transcribed ND1 protein expression decreased. These results suggest an impairment of the nuclear and mitochondrial stoichiometry in this disease. We also detected low levels of the mitoribosome structural protein MRPL48 in ATII cells in emphysema. Decreased 16S rRNA expression and increased 12S rRNA levels were observed. Moreover, we analyzed miR4485-3p levels in this disease. Our results suggest a negative feedback loop between miR-4485-3p and 16S rRNA. The obtained results provide molecular mechanisms of mitoribosome dysfunction in ATII cells in emphysema.