Miracle-dz/UniFAR-FTUs huggingface dataset:
MITIGATION OF ENVIRONMENTAL VARIABILITIES IN DAMAGE DETECTION: A COMPARATIVE STUDY OF TWO SEMI-SUPERVISED APPROACHES

Abstract. Vibration-based structural health monitoring (VSHM) employs vibration signals as observables from which inferences are made concerning the integrity of structural systems. More specifically, the premise of this work is to detect damage through changes in a set of features extracted from the vibration signals. A major challenge in this regard is that false positives may arise due to the influence of environmental and operational variabilities (EOVs). Environmental variabilities, e.g. shifts in temperature and humidity, introduce changes in mechanical properties. These changes are reflected in the vibration response and can reduce the probability of detecting damage in a structure. This paper conducts a comparative study between a novel semi-supervised damage detection approach and a well known cointegration-based scheme to deal with EOVs. The novel approach uses the pattern recognition capability of an artificial neural network (ANN) to learn how EOVs affect a Mahalanobis distance-based damage index in a reference state. The cointegration-based scheme seeks to mitigate the EOVs by computing stationary linear combinations of non-stationary output response signals. The merits of the damage detection methods are examined in the context of a mass-spring system, which is exposed to a simulated temperature field that renders the output response non-stationary. The system is analysed in a reference state and a perturbed state in which damage is emulated by reducing a single spring stiffness by 2%. Both methods are evaluated with the area under the curve (AUC) for receiver operating characteristic (ROC) and the false alarm rate. The results show that the ANN-based damage detection approach outperforms the cointegration-based one in this particular example.
Linkage between a major gene for powdery mildew resistance and an RFLP marker on chromosome 1R of rye

DNA samples from an F 2 progeny which segregated for resistance to powdery mildew were bulked for resistant and susceptible individuals. In a segregant analysis, genomic rye probes which had been localized previously in a linkage map of rye were systematically screened for polymorphisms between these bulks. An RFLP marker located on linkage group 1RS was found to be tightly linked to a dominant mildew resistance gene. This is the first publication mapping a major gene for mildew resistance in rye.
Edge Server Quantification and Placement for Offloading Social Media Services in Industrial Cognitive IoV

The automotive industry, a key part of industrial Internet of Things, is now converging with cognitive computing (CC) and leading to industrial cognitive Internet of Vehicles (CIoV). As the major data source of industrial CIoV, social media has a significant impact on the quality of service (QoS) of the automotive industry. To provide vehicular social media services with low latency and high reliability, edge computing is adopted to complement cloud computing by offloading CC tasks to the edge of the network. Generally, task offloading is implemented based on the premise that edge servers (ESs) are appropriately quantified and located. However, the quantification of ESs is often offered according to empirical knowledge, lacking analysis on real condition of intelligent transportation system (ITS). To address the abovementioned problem, a collaborative method for the quantification and placement of ESs, named CQP, is developed for social media services in industrial CIoV. Technically, CQP begins with a population initializing strategy by Canopy and K-medoids clustering to estimate the approximate ES quantity. Then, nondominated sorting genetic algorithm III is adopted to achieve solutions with higher QoS. Finally, CQP is evaluated with a real-world ITS social media data set from China.
Nurturing your self: measuring and changing how people strive for what they need

ABSTRACT What people strive for (motive contents) and how people strive (self-regulatory processes) are studied in separate fields of psychology and assessed with different measures. The Operant Motive Test (OMT) integrates the assessment of self-regulatory processes and implicit motives. The present research validated the distinction between self-regulated and not self-regulated (incentive-driven, fearful) motive enactment. Consistent with expectations, self-regulated motive enactment correlated positively with dispositional self-regulation (i.e., action orientation, N1_total = 730, re-analyzed in five published samples) and integrative self-organization (N2 = 47) and showed pre-post increases after a multi-faceted three-hour resilience training (N3 = 45). A specific self-motivation exercise yielded more self-regulated motive enactment among poor self-regulators compared to humoristic talk (N4 = 164) and no exercise conditions, controlling for baseline (N5 = 97). Findings validate the OMT as sensitive to dispositional and experimental variations in self-regulation and show that short interventions can change how people strive for what they need.
Estimation of daily émergence of Aedes aegypti (Díptera: Culicidae) in Sonepat, India.

A sampling program was developed for estimating the daily emergence of Aedes aegypti (L.) in the town of Sonepat, North India, from direct counts of pupae in houses. Estimates made for 27 fortnights in 1974–1975 ranged from 316 per day in February to 23,022 per day in June. High emergence was associated with increased water storage in densely populated areas in the town. Concrete cisterns were the most productive containers (58.1–83.1% of total emergence) while the more numerous clay pots were 2nd in order of importance (11.4–29.9%).
Building a Common Project by Promoting Pedagogical Coordination and Educational Leadership for School Improvement: A Structural Equation Model

Leadership and teaching practices are the most important factors that affect student learning. Many studies have pointed out the combination of both of them in a common project as a guarantee to achieve school improvement. The present study sets out to define and contrast an explanatory model of pedagogical coordination as a function of management leadership, collaborative working, setting common goals, participation in decision making, involvement of teaching staff and professional development of teachers, in a sample of pedagogical leaders from secondary schools. A final sample of 547 participants from Granada and Jaen (Spain) was obtained. An instrument adapted from the DLI questionnaire (Hulpia 2009) was administered. Path analysis was conducted, which displayed good model fit for all considered indices (χ2 = 10.937; df = 2.187; p < 0.001; CFI = 0.998 TLI = 0.993; GFI = 0.994; RMSEA = 0.047). The main result was the identification of positive relationships between all dimensions of the questionnaire. It can be concluded that management plays a key role in the establishment of common goals at the school. Another important finding was that collaborative conditions should be present to favour the involvement and professional growth of the teacher. In summary, the existence of all of these conditions leads to high levels of all indices of pedagogical coordination in the examined secondary schools.
Single pixel compressive gamma-ray imaging with randomly encoded masks

We report on the development and demonstration of a single pixel spectroscopic gamma-ray imaging concept based on the principles of compressed sensing. Compressive gamma-ray images were obtained for both point sources and complex extended sources. The reconstruction of images at different photon energies allowed the spatial mapping of different radionuclides. When compared to traditional aperture based gamma-ray imaging techniques, the point source images were generated with ten times fewer measurements. More complex extended source images were generated with up to three times fewer measurements. Gamma-ray imaging techniques designed around the principles of compressed sensing have the potential to exploit the sparsity typically found in gamma-ray images, leading to a new class of fast and low cost imaging systems.
Unsupervised object detection via LWIR/RGB translation

In this work, we present two new methods to overcome the lack of annotated long-wavelength infrared (LWIR) data by exploiting the abundance of similar RGB imagery. We introduce a novel unsupervised adaptation to the cycleGAN architecture for translating non-corresponding LWIR/RGB datasets. Our ultimate goal is high detection rates in the real LWIR imagery using only RGB labelled imagery for training detection algorithms. In our first experiment, we translate LWIR imagery to RGB, allowing us to use an RGB trained detection algorithm. We, thereby remove the need for labelled LWIR imagery for training detection algorithms. Experimental results show that our adaption helps to create synthetic RGB imagery with higher detection rates across two different datasets. We also find that combining the synthetic RGB and real LWIR imagery produces higher F1 scores on the RGB trained detection network. In our second experiment, we translate RGB to LWIR to fine-tune a network for detection in real LWIR imagery. This method produces the highest F1 scores out of the two methods with detection reaching up to 85.6%.
Highly conserved regions in the 5' region of human olfactory receptor genes.

: Regulation of human olfactory receptor (hOR) genes is a complex process of control and signalization with various structures and functions that are not clearly understood. To date, nearly 390 functional hOR genes and 462 pseudogenes have been discovered in the human genome. Enhancer models and trans-acting elements for the regulation of different hOR genes are among the few examples of our knowledge concerning regulation of these genes. We looked for upstream control elements that might help explain these complex control mechanisms. To analyze the human olfactory gene family, we looked for functional genes and pseudogenes common to all hOR genes obtained from public databases. Subsequently, we analyzed sequences upstream of the transcription start sites with data mining and bioinformatics tools. We found two highly conserved regions, which we called HCR I and HCR II, upstream of the transcription start sites in 77 hOR genes and 87 pseudogenes. These regions showed possible enhancer functions common to both genes and pseudogenes, an intriguing feature that may be associated with the expression of pseudogenes. Based on these HCRs, we propose a structural model of gene regulation for the olfactory gene family.
Energy distribution in Dual-UAV collaborative transportation through load sharing

In this paper, a novel dual-UAV collaborative aerial transport strategy based on energy distribution and load sharing is proposed. This paper presents the first experimental demonstration of dual-UAV collaborative aerial transport while distributing power consumption. The demonstration is performed while distributing the power consumption between two drones sharing a load based on their battery state of charge. A numerical model of the dual-hex-rotor-payload is used to validate the proposed strategy. Numerical and hardware tests were conducted to demonstrate the load distribution using multiple UAV with certain spatial configurations. Finally, collaborative aerial transport test scenarios are performed numerically and experimentally. The simulation and experimental results show the effectiveness and applicability of the proposed strategy.
Evidence of seasonal changes in community structure for a coastal ecosystem in the central coast of Brazil, south-west Atlantic

This study reports on the seasonal variations of the community structure of a coastal ecosystem, off the central coast of Brazil. Samples were collected on a monthly basis on board a bottom otter trawl vessel from October 2003 to September 2004. A total of 57 species belonging to 26 families and 10 orders were collected. Resident species, which presented a high proportion of juveniles throughout the year, were the most abundant. Among these, benthonic fish of the Sciaenidae family were the dominant species, followed by Tetraodontiformes, nektonic Sciaenidae and Clupeiformes. Benthonic fish were more abundant during the spring/summer months (October to February) and pelagic species dominated the autumn/winter months (May to September). However, these differences were not statistically significant. The spring/summer months were also characterized by reproduction activity, while the autumn/winter months saw high proportions of juveniles. Indicator species analyses showed that 5 species presented significant differences in their occurrence and abundance throughout the seasons of the year. This study shows that the coastal area is an important place for reproduction and a nursing ground of many species. It also shows evidence of community-level reproductive patterns for a tropical ecosystem. Future studies are necessary to identify the likely ecosystem forcings underlying these patterns.
Effects of Feeding Levels on the Pathological Alterations in the Digestive System and Mortality of Larvae and Juveniles of Pagrus major

Abstract The effects of two feeding levels on the larvae and juveniles of red seabream Pagrus major (also known as madai) were examined beginning with the onset of exogenous feeding until 29 d posthatch. The red seabream were fed enriched live feeds, Brachionus rotundiformis and Artemia spp. , at two feeding levels (L1 and L2). At the L1 level, the initial density of the rotifers was 3.0 individuals/mL, and the feeding density was gradually increased to approximately 20.0 individuals/mL up to 29 d posthatch. With Artemia spp. , the initial density at L1 was 0.1 individuals/mL (18 d posthatch), increasing gradually up to 1.1 individuals/mL up to 29 d posthatch. The level L1 is the conventional regime adapted by some hatcheries in Japan for red seabream larva and juvenile rearing. The L2 level was the same composition as L1, but the levels of rotifers and Artemia in L2 were five times those of L1. Red seabream larvae and juveniles responded to application of higher feeding levels by ingesting greater amounts .
Legalitas Penggunaan Sepeda Listrik Sebagai Alat Transportasi Menurut Perspektif Hukum Pengangkutan Di Indonesia

Kolaborasi antara teknologi dan pengangkutan kembali melahirkan inovasi yang menarik. Pada Agustus 2017, PT Migo Anugerah Sinergi menghadirkan Migo e-bike sebagai aplikasi penyewaan sepeda listrik berbasis online pertama di Indonesia. Di satu sisi keberadaan sepeda listrik berbasis aplikasi online merupakan sebuah kemajuan dalam bidang pengangkutan di Indonesia, namun hal tersebut tidak turut didukung dengan adanya regulasi yang matang. Sepeda listrik merupakan jenis kendaraan listrik yang merupakan pengembangan dari sepeda konvensional. Apabila sepeda konvensial hanya dapat digerakkan menggunakan pedal, lain halnya dengan sepeda listrik yang memiliki tambahan baterai dan motor listrik sebagai alat bantu geraknya. Peraturan perundang-undangan di Indonesia belum mampu mengakomodir keberadaan sepeda listrik sebagai salah satu jenis kendaraan. Hal ini menyebabkan kedudukan sepeda listrik seolah-olah berada diantara jenis kendaraan sepeda dan sepeda motor listrik. Selain itu, dilihat dari segi keselamatan berkendara, juga belum ada legal standing yang mengatur mengenai kelaikan kendaraan ini bisa berinteraksi dengan pengguna motor dan pengguna jalan lainnya.
Amyloid β‐peptide activates nuclear factor‐κB through an N‐methyl‐D‐aspartate signaling pathway in cultured cerebellar cells

Amyloid β‐peptide (Aβ) likely causes functional alterations in neurons well prior to their death. Nuclear factor‐κB (NF‐κB), a transcription factor that is known to play important roles in cell survival and apoptosis, has been shown to be modulated by Aβ in neurons and glia, but the mechanism is unknown. Because Aβ has also been shown to enhance activation of N‐methyl‐D‐aspartate (NMDA) receptors, we investigated the role of NMDA receptor‐mediated intracellular signaling pathways in Aβ‐induced NF‐κB activation in primary cultured rat cerebellar cells. Cells were treated with different concentrations of Aβ1–40 (1 or 2 μM) for different periods (6, 12, or 24 hr). MK‐801 (NMDA antagonist), manumycin A and FTase inhibitor 1 (farnesyltransferase inhibitors), PP1 (Src‐family tyrosine kinase inhibitor), PD98059 [mitogen‐activated protein kinase (MAPK) inhibitor], and LY294002 [phosphatidylinositol 3‐kinase (PI3‐k) inhibitor] were added 20 min before Aβ treatment of the cells. Aβ induced a time‐ and concentration‐dependent activation of NF‐κB (1 μM, 12 hr); both p50/p65 and p50/p50 NF‐κB dimers were involved. This activation was abolished by MK‐801 and attenuated by manumycin A, FTase inhibitor 1, PP1, PD98059, and LY294002. Aβ at 1 μM increased the expression of inhibitory protein IκB, brain‐derived neurotrophic factor, inducible nitric oxide synthase, tumor necrosis factor‐α, and interleukin‐1β as shown by RT‐PCR assays. Collectively, these findings suggest that Aβ activates NF‐κB by an NMDA‐Src‐Ras‐like protein through MAPK and PI3‐k pathways in cultured cerebellar cells. This pathway may mediate an adaptive, neuroprotective response to Aβ. © 2007 Wiley‐Liss, Inc.
SEM Analysis in the Effect of Service Quality on Customer Satisfaction and Its Implications on Student’s Loyalty Online Transportation Users in Madiun Municipality

Online transportation is trend of modern transportation models in various countries in the world, including Indonesia. This transportation is very attractive to the public because it can reduce the consumption of the number private vehicles, lower cost and more efficient. This study aims to determine the effect of service quality on customer loyalty with customer satisfaction as moderating variable. Data collection instruments using questionnaire, with purposive sampling approach. The population was students of 6 colleges in Madiun City. The analysis technique uses validity and reliability test, multiple linear regression, classic assumption test, hypothesis test and moderation test.The results showed that service quality and customer satisfaction contributed to consumer loyalty. T test results concluded that the quality of service affects customer loyalty. Consumer satisfaction affects customer loyalty. Simultaneously the quality of service has significant effect on customer loyalty with customer satisfaction as moderating variable.
DenseUNet: densely connected UNet for electron microscopy image segmentation

Electron microscopy (EM) image segmentation plays an important role in computer-aided diagnosis of specific pathogens or disease. However, EM image segmentation is a laborious task and needs to impose experts knowledge, which can take up valuable time from research. Convolutional neural network (CNN)-based methods have been proposed for EM image segmentation and achieved considerable progress. Among those CNN-based methods, UNet is regarded as the state-of-the-art method. However, the UNet usually has millions of parameters to increase training difficulty and is limited by the issue of vanishing gradients. To address those problems, the authors present a novel highly parameter efficient method called DenseUNet, which is inspired by the approach that takes particular advantage of recent advances in both UNet and DenseNet. In addition, they successfully apply the weighted loss, which enables us to boost the performance of segmentation. They conduct several comparative experiments on the ISBI 2012 EM dataset. The experimental results show that their method can achieve state-of-the-art results on EM image segmentation without any further post-processing module or pre-training. Moreover, due to smart design of the model, their approach has much less parameters than currently published encoder-decoder architecture variants for this dataset.
Glutamate as a Carbon Source for N2-Fixing Bacteroids Prepared from Soybean Root Nodules

Summary: The possibility that glutamate might serve as a source of reducing power, supporting fixation of N2 to NH3 by bacteroids in soybean root nodules, was investigated. Suspensions of bacteroids were retained within a reaction chamber supplied with a flow of solution containing dissolved air, buffer, oxyleghaemoglobin and either disodium glutamate (1 or 10 mM) or no added substrate (2 or 20 mM-NaCl). The solution passing out of the chamber was analysed for dissolved NH3 and proportional oxygenation of leghaemoglobin was determined spectrophotometrically. Rates of production of NH3 and of consumption of O2 and the concentrations of free, dissolved O2 prevailing during steady states were calculated. At 1 mM, glutamate stimulated O2 demand of the bacteroids and enhanced NH3 production. However, increased production of NH3 was shown to arise entirely from deamination of [15N]glutamate and not from N2 fixation. At 10 mM-glutamate, the proportion of NH3 arising from [15N]glutamate increased with increased steady state concentrations of free, dissolved O2 in the chamber, but there was also significant and efficient stimulation of N2 fixation when the concentration of free, dissolved O2 was between 10 and 70 nM. The kinetics of O2 consumption by bacteroids using endogenous substrates or 10 mM-glutamate were similar.
Combining geostatistical and biotic interaction model to predict amphibian refuges under crayfish invasion across dendritic stream networks

Biological invasions are pervasive in freshwater ecosystems, often causing native species to contract into areas that remain largely free from invasive species impacts. Predicting the location of such ecological refuges is challenging, because they are shaped by the habitat requirements of native and invasive species, their biotic interactions, and the spatial and temporal invasion patterns. Here, we investigated the spatial distribution and environmental drivers of refuges from invasion in river systems, by considering biotic interactions in geostatistical models accounting for stream network topology. We focused on Mediterranean amphibians negatively impacted by the invasive crayfishes Procambarus clarkii and Pacifastacus leniusculus.
Nuclear Ribosomal DNA Unit Lenght Variation: A Putative Marker of Genetic Diversity in Jojoba

Jojoba (Simmondsia chinensis [Link] Schneider) is a crop of high economic interest that is grown for the exceptional quality of its seed oil. We have taken advantage of the large variation commonly shown by ribosomal DNA (rDNA) in many plant species to assess the genetic diversity between clones and among individuals in jojoba. The variation of rDNA was analyzed with the use of a homologous 1.7-kbp probe generated by PCR and a 20-mer oligonucleotide probe targeting, respectively, the 17S and 25S coding regions. The multiple-step ladder obtained with the BamH I-EcoR I restriction fragment containing the intergenic spacer (IGS) was the best indicator of variation in length of rDNA unit. In addition to variations observed among selected clones, significant differences in the relative proportion of length variants were seen among individuals grown from seeds of unknown origin.