Miracle-dz/UniFAR-FTUs huggingface dataset:
Empirical continuous metaheuristic for multiple distributed generation scheduling considering energy loss minimisation, voltage and unbalance regulatory limits

Distributed generation (DG) and other electric resources such as batteries and electric vehicles are transforming the planning and operation of power distribution system all over the world. Although the operation gets more complex in the presence of DG, it also brings some potential benefits to the grid. In this study, the authors propose an optimisation approach for multiple DG units scheduling, considering a daily load profile. The main objective is to minimise the total energy loss in a period of time, dealing with a specific voltage and unbalance constraints, required by the Brazilian Electricity Regulatory Agency. The problem formulation results in a discontinuous non-convex objective function. An empirical continuous metaheuristic (ECM) is proposed to solve this challenging optimisation problem. As metaheuristic methods are suitable for this kind of problems, they present some limitations regarding final results variability, relative dependence on initial conditions and usually a large set of parameters to tune. ECM confronts directly these limitations, presenting good quality results in comparison to other well-known algorithms. By using the Open Distribution System Simulator – OpenDSS, and the well-known IEEE-123 distribution system, the proposed approach shows its effectiveness and efficiency to optimise the grid operation, with special attention to the Brazilian requirements for unbalance.
The Multi-Base Discrete Logarithm Problem: Non-Rewinding Proofs and Improved Reduction Tightness for Identiﬁcation and Signatures

We introduce the Multi-Base Discrete Logarithm (MBDL) problem. We use this to give, for various schemes, reductions that are non-rewinding and tighter (in some cases, optimally so) than the classical ones from the Discrete Logarithm (DL) problem. The schemes include (1) Schnorr identiﬁcation and signatures (2) Okamoto identiﬁcation and signatures (3) Bellare-Neven multi-signatures (4) Abe, Ohkubo, Suzuki 1-out-of-n (ring/group) signatures and (5) Schnorr-based threshold signatures. We show that not only is the MBDL problem hard in the generic group model, but with a bound that matches that for DL, so that our new reductions allow implementations, for the same level of proven security, to use smaller groups, which increases eﬃciency.
Correlation Between Internal Working Model of Attachment and Marital Satisfaction of Young Adult

— Marital satisfaction can be influenced by attachments that are formed at an early age and represented in adulthood, which are better known as internal working model. This research was conducted to determine the importance of marital satisfaction in married couples and knowing more about their partner. The participants of the study were 105 young adult individuals, using convenience sampling. Quantitative research methods, using a Likert scale questionnaire. Data distribution is not normal (non-parametric), so it is analyzed using the Spearman correlation method. The results of the analysis show that individuals who have secure attachments tend to be more satisfied with their marriages than individuals who have preoccupied, dismissing, and fearful attachments. In detail, the results of the study show that, (a) there is a positive relationship between secure dimension and marital satisfaction (r= 0.490, p= 0.000), (b) a negative relationship between the preoccupied dimension and marital satisfaction (r= -0.603, p= 0.000), (c) a negative relationship between dismissing dimension and marital satisfaction (r= -0.210, p= 0.031), and (d) a negative relationship between fearful dimension and marital satisfaction (r= -0.551, p= 0.000).
Mutations in the m-AAA proteases AFG3L2 and SPG7 are causing isolated dominant optic atrophy

Objective To improve the genetic diagnosis of dominant optic atrophy (DOA), the most frequently inherited optic nerve disease, and infer genotype-phenotype correlations. Methods Exonic sequences of 22 genes were screened by new-generation sequencing in patients with DOA who were investigated for ophthalmology, neurology, and brain MRI. Results We identified 7 and 8 new heterozygous pathogenic variants in SPG7 and AFG3L2. Both genes encode for mitochondrial matricial AAA (m-AAA) proteases, initially involved in recessive hereditary spastic paraplegia type 7 (HSP7) and dominant spinocerebellar ataxia 28 (SCA28), respectively. Notably, variants in AFG3L2 that result in DOA are located in different domains to those reported in SCA28, which likely explains the lack of clinical overlap between these 2 phenotypic manifestations. In comparison, the SPG7 variants identified in DOA are interspersed among those responsible for HSP7 in which optic neuropathy has previously been reported. Conclusions Our results position SPG7 and AFG3L2 as candidate genes to be screened in DOA and indicate that regulation of mitochondrial protein homeostasis and maturation by m-AAA proteases are crucial for the maintenance of optic nerve physiology.
Future Possibilities for Using Entomopathogenic Nematodes

The potential world market for entomopathogenic nematodes (ENs) could reach several hundred million $US per annum if these organisms are optimally developed and exploited. Currently, the market for ENs represents only a tiny fraction of this potential (even though ENs are already second only to Bacillus thuringiensis (Bt) in biopesticide sales). However, a continually expanding research effort around the world has developed a sound knowledge base from which to focus on the range of basic, strategic and tactical R&D that is now required to develop ENs much further. By 2005 we should see the current world collections of a few hundred isolates, representing some 30 or 40 species, expanded to many thousands of isolates of over 100 species . This will have helped to increase substantially the range of targets susceptible to ENs and , because fewer of the new, superior nematodes will be required, greatly reduce application rates and therefore costs. It will also doubtless have been possible to improve good strains still further by cross breeding, artificial selection and even genetic manipulation , as well as by mixing and matching various ENs and symbiotic bacteria . Because of IP considerations, molecular biology will become increasingly important for genetically characterizing strains of both nematodes and bacteria and will be used to help screen large numbers of isolates and in field trialing mixtures of strains . A large increase in numbers of patents concerning the use of particular EN species and strains for the control of specific insect pests can be expected. A new series of application technologies will have been developed to deliver ENs as close to their insect targets as possible in the most favorable environment; some will enable improved soil penetration , others will involve baiting and there may well be better means of using ENs to control some leaf eating insects. In addition to major cost cuttings achieved using superior nematode strains and improved application technologies, further, though not so significant , reductions can be expected from improved efficiency in production methods. Once the most appropriate EN has been developed for a large market segment it will doubtless most efficiently be produced using large-scale liquid fermentation, carefully tailored for that particular species/strain. However while species/strains are being continually improved and superseded the more flexible solid culture methods will still have a part to play . By 2005, it can be expected that there will be available some EN products with a shelf life approaching one year at ambient temperatures and others with at least 6 months . These improved shelf lives will result from careful attention to methods of induction into cryptobiosis and resulting biochemical and respiratory rate modifications specific for each species, and possibly even each strain. Packaging that enables maintenance of water activity while allowing adequate oxygen exchange will have become increasingly important as shelf life is extended. For all aspects of culture maintenance ,
Structure-property correlation of eutectic Al-12.4 Si alloys with and without Zirconium (Zr) addition

ABSTRACT The effect of Zr (0.1, 0.3, 0.5 wt. %) addition on microstructural morphology, hardness, mechanical properties and fracture behaviour of gravity cast Al-12.4Si alloy has been studied. The unmodified Al-12.4Si alloy consists of non-uniformly distributed coarse and irregular shape primary and eutectic silicon particles with sharp corners in Al phase. However, the Zr added Al-12.4Si alloys have uniformly distributed fine eutectic and primary Si particles with blunt corners due to formation of Al3Zr, which acts as heterogeneous nucleation site for Si. The bulk hardness of the modified alloy is slightly increased, but ultimate tensile strength (UTS), yield strength (YS) and elongation (%El) are increased significantly as an effect of microstructural morphology modification. Further, fractographs reveal that the brittle mode of fracture and cleavage fracture of Si particles decreased and ductile fracture with dimples formation increased in the modified alloy.
Speech Summarization using Essence Vector Modeling

— Speech is the most natural and effective method of communication between human beings. It is not easy to review and retrieve the information present in the spoken document instantly when the speech is recorded and stored as an audio signal. Speech summarization extracts important information and saves time for reviewing speech documents and improves the efficiency of document retrieval. Representation learning and paragraph embedding methods have emerged as new active research subjects because of their excellent performance in many applications. In this research, we have implemented an unsupervised paragraph embedding method called Essence vector (EV) modeling for Speech Summarization, which strives at distilling the most characteristic information from a paragraph and also includes the general background information to produce a more informative low-dimensional vector representation of the input. Speech is converted into text and provided as a high dimensional vector input to the Essence Vector (EV) model which in turn summarizes the input in a low dimensional space. We have enhanced the performance of the EV model by using LSTM, a state-of-the-art neural network architecture, to handle the imperfect and erroneous Speech conversions made by the speech to text module and also added Attention mechanism to the EV model to obtain a better and relevant summary. The proposed method is evaluated using ROUGE metrics against a summarization corpus.
Non-Contact Degradation Evaluation for IGBT Modules Using Eddy Current Pulsed Thermography Approach

In this paper, a non-contact degradation evaluation method for insulated gate bipolar transistor (IGBT) modules is proposed based on eddy current pulsed thermography approach. In non-contact heat excitation procedures, a high-power induction heater is introduced to generate heat excitation in IGBT modules. The thermographs of the whole temperature mapping are recorded non-invasively by an IR camera. As a result, the joint degradation of IGBT modules can be evaluated by the transient thermal response curves derived from the recorded thermographs. Firstly, the non-destructive evaluation principle of the eddy current pulsed thermography (ECPT) system for an IGBT module with a heat sink is introduced. A 3D simulation module is built with physical parameters in ANSYS simulations, and then thermal propagation behavior considering the degradation impact is investigated. An experimental ECPT system is set up to verify the effectiveness of the proposed method. The experimental results show that the delay time to peak temperature can be extracted and treated as an effective indicative feature of joint degradation.
Multipath Estimating Delay Lock Loop for LTE Signal TOA Estimation in Indoor and Urban Environments

Long-term evolution (LTE) signals are potential signals-of-opportunity for position and navigation, especially in challenging urban and indoor environments. A major challenge is that the LTE signal time-of-arrival (TOA) estimations are susceptible to the multipath propagation effects. In this paper, the multipath estimating delay lock loop (MEDLL), which is originally designed for global positioning system receivers, is applied to LTE signal TOA estimation in multipath environments. We derive the analytical expression of the correlation function for LTE signals and present the procedure for estimating parameters of the detected multipath components. Two initialization methods without and with super-resolution algorithm (SRA) are developed for the MEDLL. Our analyses show that the MEDLL with SRA-based initialization can achieve better multipath resolution, while the one without SRA has less complexity. Extensive simulations involving static multipath scenarios are conducted to examine the statistical TOA estimation performance of the proposed MEDLL with LTE cell-specific reference signal. The simulation results and computational complexity analysis indicate that the proposed MEDLL outperforms the conventional delay lock loop and SRA in term of multipath mitigation performance and computational complexity. Experimental results using real collected LTE signals in urban environments are also provided to demonstrate the effectiveness of the proposed technique for realistic scenarios.
The Evolution of Dominance

There seems little probability of direct evidence upon so subtle a question. I have myself attached a good deal of importance, in other connections, to gene ratios held in stable equilibrium, though it never occurred to me that such a state was universal. Even if it were nearly so, the conditions on which the stability rests must be liable to change; stability may turn to instability, a transient state, admittedly, but one in which a minute, but steadily increasing, selective intensity would be well fitted to tip the balance. As to the ratios having neutral stability, there is one reason for thinking that the factors suffering the feeblest selective action will at any one time be the most numerous. The fate of those powerfully selected is quickly settled; they do not long contribute to the varian-ce. It is the idlers that make the crowd, and very slight attractions may determine their drift. On the whole, it seems that the most reasonable assumption which we can make, on an obscure subject, is that the effect is approximately proportional to the cause. Any progressive change, which is very slow in its action, may be represented, for the sake of paradox, as dependent from very rare, and therefore very improbable events. In the course of time the height of a mountain is lowered by 1,000 feet; at one instant its height is above 10,000 feet, a second later it is below. WThat an improbable event! That the topmost grain should just protrude a fraction of a millimeter above 10,000 feet, and then that some purely conjectural meteorological accident should remove it. How can any one take seriously such an extravagant series of assumptions? Equally improbable seems the extinction or "fixation" of modifying genes, a very rare, but occasionally necessary, consequence of the slight constant tendencies at work in modifying their frequencies. R. A. FISHER
Coexisting Rubies and Blue Sapphires from Major World Deposits: A Brief Review of Their Mineralogical Properties

Gem corundum deposits are typically divided into blue sapphire and ruby deposits. However, this classification often overlooks the fact that the precious stones produced are the same mineral with only an overall slight difference in their trace element profiles. It can take only a couple thousand ppm chromium to create the rich, red color expected of a ruby. This contribution deals specifically with economically important gem corundum mining regions that produce both blue sapphires and rubies either in comparable quantities (Mogok, Myanmar, and the basalt-related gem fields on the border between Thailand and Cambodia at Chanthaburi, Thailand, and Pailin, Cambodia) or predominantly blue sapphires with rare rubies (secondary Montana sapphire deposits and Yogo Gulch in Montana as well as the gem fields of Sri Lanka). Comparison of the trace element profiles and inclusions in the blue sapphire/ruby assemblages in these deposits shows that there are both monogenetic and polygenetic assemblages in which the blue sapphires and rubies have the same geological origin (monogenetic) or distinct geological origins (polygenetic). In the monogenetic assemblages, the rubies and blue sapphires have essentially indistinguishable inclusions and trace element chemistry profiles (with the exception of Cr contents). On the other hand, polygenetic assemblages are composed of rubies and blue sapphires with distinct inclusions and trace element chemistry profiles. Notably, in the monogenetic assemblages, chromium seems to vary independently from other trace elements. In these assemblages, Cr can vary by nearly four orders of magnitude with essentially no consistent relationship to other trace elements. The observations described herein are an attempt to address the question of what the geochemical and geological constraints are that turn gem corundum into a spectacular ruby.
Multi-User collaborative scheduling in 5G massive MIMO heterogeneous networks

Macro cell densification with Small Cells (SCs) is an effective solution to cope with traffic increase. To fully benefit from the additional SCs capacity, interference mitigation techniques are needed. Densification in 5G networks with Massive Multiple Input Multiple Output (M-MIMO) deployment needs to rethink interference mitigation to account for highly focused beams and Multi-User (MU) scheduling. This paper presents a low complexity collaborative Proportional Fair (PF) based scheduling that maximizes the throughput and improves fairness of the heterogeneous network. The solution is based on the calculation of a loss factor indicator that each SC provides to the macro cell at each scheduling period. These indicators allow the macro cell MU scheduler to efficiently select the set of users for scheduling, leading to a significant improvement in performance. Numerical results illustrate the interest of the collaborative solution.
Ecoacoustics in the rain: understanding acoustic indices under the most common geophonic source in tropical rainforests

Rainfall is one of the most predominant geophonic sources in nature, and the major climatic phenomenon influencing species biology in tropical ecosystems. Although its effects on acoustic indices have been studied, rainfall is recognized as a nuisance factor affecting their estimation. Consequently, files with rainfall sounds are typically removed from ecoacoustic analyses. In tropical rainforests, where rainfall is a common and unpredictable event, its influence on acoustic indices needs to be explicitly examined before implementing acoustic passive monitoring. Using mixed‐effects models we assessed the effect of different rainfall conditions on the direction and magnitude of the values of eight commonly used acoustic indices. We obtained 18336 1‐min recordings from 28 sampling sites in a montane forest on the northern Andes of Colombia between May‐July 2018. We identified 2867 1‐min recordings containing light to heavy rainfall. We found that both rainfall occurrence and its variation in intensity were associated with increases in ACI, ADI, H, and M index values, and decreases in AEI, BI, NDSI, and NP values. The estimated indices exhibited differential sensitivity to rainfall, with M, NDSI, and NP showing higher differences associated with increasing frequency and intensity of rainfall. Regardless the direction of change in index values caused by rainfall, we found that the magnitude of variation depended on the index. For instance, ACI and BI indices showed low sensitivity and can be considered as reliable acoustic metrics, even during heavy intensity rainfall. In contrast, M, NDSI, and NP might lead to misleading inferences, if rainfall events are not considered during calculation. We stress the importance of careful interpretation of biological inferences based on these sensitive indices and encourage an explicit assessment of rainfall, particularly in short‐term acoustic surveys in highly pluvious regions where rainfall is a conspicuous component of the soundscape.
Effect of platelet-rich plasma on postoperative peritoneal inflammation and adhesions

Introduction Postoperative peritoneal adhesion is an important complication of abdominopelvic surgery. The aim of this study is to reveal the effect of platelet-rich plasma (PRP) on postoperative intraperitoneal inflammation and adhesions. Material and methods Twenty-four Wistar albino rats were divided into three groups. Cecal incision and suturation was carried out for the experimental model. Intraperitoneally, 3 ml of 0.9% NaCl, 3 ml of PRP, and nothing were applied, and called as saline, PRP, and control groups, respectively. Four subjects in each group were sacrificed at the 3rd and 7th days postoperatively. Adhesion formations and giant cell, lymphocyte/plasmocyte, neutrophil, and histiocyte counts were assessed and hydroxyproline levels were measured in all groups and statistical comparisons were performed. Results Except giant cell 3rd day scores, PRP had the lowest adhesion, neutrophil, lymphocyte, plasmocyte, histiocyte and fibrosis scores. Both 3rd and 7th days scores of giant cell, neutrophil, lymphocyte, plasmocyte, but only 7th days scores of histiocyte reaction and fibrosis were statistically significant (p < 0.05). Hydroxyproline levels were lower in the saline group at the 3rd day. However, at the 7th day, the levels were lower in the PRP group and no statistically significant difference was found compared to the saline group 3rd day levels (p > 0.05). Conclusions Platelet-rich plasma has a reducing effect on the postoperative peritoneal adhesions with separation of the damaged tissues, affecting the inflammation, matrix metalloproteinase, plasminogen activation or the other stages of adhesion formation.
Effects of subchronic exposure to carbofuran on antioxidant defence system and malondialdehyde levels in common carp (Cyprinus carpio L.)

The present study focused on the assessment of oxidative stress induction by pesticides such as carbamates which are widely used as insecticides and nematicides and contaminate aquatic ecosystems on certain biomarkers in liver of common carp (Cyprinus carpio L.). Biomarkers selected for stress monitoring were malondialdehyde (MDA), an index of lipid peroxidation, and antioxidant defence system enzymes, mainly catalase (CAT), glutathione reductase (GR), and glutathione-S-transferase (GST) activities in liver of fish exposed to 0, 10, 50, or 100 µg L−1 of carbofuran for 4, 15, or 30 days. Oxidative stress was found in liver of common carp exposed to carbofuran which was manifested by a decrease in CAT and GR activities after 4 and 30 days of exposure. An adaptive response was probably produced since at day 15 no modifications in the CAT activity and increased GR activity were observed. In addition, a decrease in MDA content with the highest concentration of carbofuran used was found after 30 days of exposure. However, no significant changes were found in GST activity showing a varied response. The results concerning oxidative and antioxidant profiles indicate that subchronic exposure to the insecticide carbofuran is capable of inducing oxidative stress in fish.