Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving performance in an office environment via training the non-dominant hand on the computer mouse: A study of learning curve of the non-dominant hand and the bilateral transfer effect to the dominant hand

Operating a computer mouse is a daily task in the workplace and is primarily completed with the right hand due to workstation setup, forming hand dominance. By consistently using the same hand on the mouse over many years, people can develop repetitive use injuries, such as carpal tunnel syndrome, and performance on the computer can come to a natural stagnation. This study examined training the non-dominant hand on the computer mouse, during a typical work week, to examine the effect on performance of the dominant hand due to bilateral transfer of learning. The performance and learning curve of the non-dominant hand on the computer mouse and the effect weekend breaks had on performance were also analyzed. Previous research on bilateral transfer of upper and lower extremities has demonstrated improvement to the dominant limb from training the non-dominant limb. Additionally, research has shown there is an ability to improve the performance of the non-dominant hand through training for a variety of tasks. However, current research on the effectiveness of bilateral transfer and training of the non-dominant hand does not have a practical application related to improving performance in industry, which our research addresses. Eleven right-handed computer mouse users trained their non-dominant hand for 15 minutes a day, five days per week, for six weeks. After training, significant improvements were observed in performance, based on click speed and accuracy, of both the dominant and non-dominant hand. Further, the non-dominant hand took, on average, 13.6 days to reach the dominant hand’s initial performance level with a 95% confidence interval ranging from 6.7 days to 20.4 days. Weekend breaks from training initially caused a performance decline, but the decline was significantly reduced by the end of the study. Thus, our results show that training the non-dominant hand on the computer mouse allows for improved performance for both the dominant and non-dominant hand while also providing safer, more sustainable, and more achievable work in a multitude of economies.
Characterization of 20 new EST-SSR markers for northern red oak (Quercus rubra L.) and their transferability to Fagus sylvatica L. and six oak species of section Lobatae and Quercus

Northern red oak (Quercus rubra L.) is widely distributed in the eastern United States and southeastern Canada. It has also been introduced to Europe, where it has become an economically important plantation species now. Despite growing genomic resources, the number of available EST-SSR (expressed sequence tag – simple sequence repeat) markers for Q. rubra is still limited. Here, we used existing sequence information to provide a new set of EST-SSRs for northern red oak. In total, we report 20 polymorphic EST-SSRs, for which performance was evaluated in three Q. rubra populations from different regions in Michigan. We further tested the transferability of these markers to six additional oak species of section Lobatae (Quercus ellipsoidalis E.J. Hill, and Quercus georgiana M.A. Curtis) and Quercus (Quercus robur L., Quercus alba L., Quercus pedunculiflora K. Koch, and Quercus petraea (Matt.) Liebl. ), as well as to European beech (Fagus sylvatica L.). The reported markers can be used in future population genetic studies.
Ampelomyia, a new genus of Schizomyiina (Diptera: Cecidomyiidae) associated with Vitis (Vitaceae) in the Palaearctic and Nearctic regions, with description of a new species from Japan

Abstract A gall midge that induces conical leaf galls on wild Vitis Linnaeus (Vitaceae) species in Japan was previously identified based on the gall shape as the Nearctic Schizomyia viticola (Osten Sacken) (Diptera: Cecidomyiidae: Cecidomyiinae: Asphondyliini: Schizomyiina). In 2016, leaf galls were newly found on cultivated Vitis coignetiae Pulliat ex Planchon cultivar Suzumi-murasaki and the wild V. coignetiae, Vitis flexuosa Thunberg, and Vitis ficifolia Bunge in northern Japan. Morphological studies of the larvae and adults obtained from the galls revealed that they were an undescribed taxon distinct from the Nearctic species and did not belong to any known genera of Schizomyiina. A new genus, Ampelomyia Elsayed and Tokuda, is erected for Ampelomyia conicocoricis Elsayed and Tokuda new species. The new genus can be distinguished from other genera of Schizomyiina by having ventroapical extension on tarsomere I, the larval abdominal segment VIII with a posterodorsal lobe, and dorsally shifted pair of larval pleural papillae. Molecular phylogenetic analysis supports this taxonomic treatment. In addition, we also place three Vitis-associated Nearctic species in the new genus: Ampelomyia viticola (Osten Sacken) new combination, A. vitiscoryloides (Packard) new combination, and A. vitispomum (Osten Sacken) new combination.
Reproductive Ecology of the Brazilian Merganser (Mergus octosetaceus) in Serra da Canastra National Park and Adjacent Areas, Minas Gerais, Brazil

Abstract. The Brazilian Merganser (Mergus octosetaceus) is globally classified as a Critically Endangered species and is one of the world's rarest waterbirds. The breeding ecology of this species was studied between 2005 and 2016 in the region of the Serra da Canastra National Park, Minas Gerais, Brazil. Between two and six nests were followed each year, with mean of 4.1 (n = 18 nests). Mean clutch size was 6.7 ± 0.9 (n = 31 clutches) with a range of five to eight eggs per nest. Average incubation constancy was 88.3% (n = 3 nests) and ranged from 86.7% to 90.7%. Mean incubation temperature and humidity were obtained from three nests and ranged from 33.6 °C to 33.8 °C and 65.9% to 70.2% respectively. The nest success was 77.1%, and the duckling survival (up to 8 weeks) was 53.8%. Nest predation was relatively low at 7.9%, and the annual reproductive output was 4.7 ducklings/female. Data on breeding ecology is fundamental in guiding conservation strategies, both in the field and in captivity.
Growth and yield of soybean and millets in intercropping systems

A field experiment was conducted at Agricultural Research Station, Bailhongal, Belagavi district, Karnataka on mixed red and black medium soil during kharif-2016 to study the growth and yield of soybean and millets in intercropping systems (foxtail millet, finger millet and little millet) under different row proportions. The experiment was laidout in randomized completely block design with ten treatment combinations replicated thrice.Millets were intercropped with soybean at different row proportions (2:1 and 4:2) along with sole millets and soybean. Significantly higher leaf area (LA), leaf area index (LAI), number of branches and total dry matterwas recorded in sole soybean. Whereas, significantly lower leaf area, leaf area index, number of branches and total dry matter was recorded in 2:1 row ratio of soybean + little millet intercropping system. Similarly, among the millets sole foxtail millet recorded significantly higher leaf area, leaf area index, number of branches and total dry matter accumulation where as lower leaf area, leaf area index, number of tillers was recorded in soybean +little millet intercropping systems. Further, seed weight plant-1, grain weight in 30 cm row length of millets, soybean equivalent yield (SEY), land equivalent ratio (LER), area time equivalent ratio (ATER) were higher in 4:2 row ratio of soybean + foxtail millet compared to any of the sole and intercropping of soybean and little millet in 2:1row ratio. Similarly, gross returns, net returns and B-C ratio were significantly higher in 4:2 row ratio of soybean + foxtail millet.
The complete mitochondrial genome of Korean endemic species, Timarete posteria (Polychaeta, Cirratulidae)

Abstract The mitogenome sequence of a typical multi-tentaculate cirratulid species, Timarete posteria (Terebellida, Cirratulidae), was determined first in the genus Timarete. The complete mitogenome is 15,497 bp in length, containing 13 protein coding genes (PCGs), 2 ribosomal RNAs (rRNAs), 23 transfer RNAs (tRNAs), and gene order and structure are identical to those of other cirratulid species. Mitogenome consists of 30.4% A, 25.2% C, 12.8% G, 31.6% T, revealing high content of A + T, similar to the other cirratulid polychaetes. Results will be valuable for inferring phylogenetic relationships among members of Cirratulidae within the Terebellids.
Cyclodextrin inclusion complexation and pharmaceutical applications

Cyclodextrins are widely used in pharmacy, chemistry and other scientific disciplines, due to their unique properties which are consequences of the special geometries of these compounds. The cyclic arrangements of glucopyranose rings form structures where small and medium-sized molecules can be included. This inclusion reaction is of high interest, because it may change the physico-chemical properties of the guest molecules and allows the application of the involved compounds like drugs for a better delivery. Another important feature is the fact, that a large number of cyclodextrin derivatives is existing, with different affinities to the guest molecules, different thermodynamic properties and consequently a broad variety of applications. In the present review a short overview will be given about the various structures, the applications, in particular as drug carriers.
Finite-Time Distributed Optimal Tracking for Multiple Heterogeneous Linear Systems

This brief investigates the finite-time distributed optimization problem for heterogeneous multi-agent systems subject to bounded inputs. The gradient of the local objective function is Lipschitz and the local convex constants cannot be obtained. By utilizing non-smooth control approaches to eliminate the effects of the nonlinear item, a class of finite-time distributed optimization control algorithms are developed to guarantee the outputs of all agents to track the optimum value, which makes a global objective function achieve minimum. Finally, a simulation example is presented to illustrate the effectiveness of the obtained results.
A Comprehensive Science Mapping Analysis of Textual Emotion Mining in Online Social Networks

Textual Emotion Mining (TEM) tackles the problem of analyzing the text in terms of the emotions, it expresses or evokes. It focuses on a series of approaches, methods, and tools to help understand human emotions. The understanding would play a pivotal role in developing relevant systems to meet human needs. This work has drawn significant interest from researchers worldwide. This article carries out a science mapping analysis of TEM literature indexed in the Web of Science (WoS), to provide quantitative and qualitative insight into the TEM research. To explain the evolution of mainstream contents, various bibliometric indicators and metrics are used which identify annual publication counts, authorship patterns, performance of countries/regions, and institutes. To further supplement this study, various types of network analysis are also performed like co-citation analysis, co-occurrence analysis, bibliographic coupling, and co-authorship pattern analysis. Additionally, a fairly comprehensive manual analysis of top-cited and most-used journal and proceeding papers is also conducted to understand the growth and evolution of this domain. As per the authors’ knowledge, this manuscript provides the first thorough investigation of TEM's research status through a bibliometric examination of scientific publications. Expedient results are recorded that will allow TEM researchers to uncover the growth pattern, seek collaborations, enhance the selection of research topics, and gain a holistic view of the aggregate progress in the domain. The presented facts and analysis of TEM will help the researchers’ fraternity to carry out the future study. Keywords—Emotion mining; emotion models; bibliometric analysis; science mapping analysis; co-citation analysis; network analysis
Strategic Investments in Multiple Middle Classes: Morals and Mobility between Paris and Dakar

Abstract:This article examines the social work of maintaining middle-class status in multiple national contexts, focusing on university-educated Senegalese in Paris. Once considered elite African intellectuals, these Senegalese find that diplomas no longer protect them from stigmatization in France. While Senegalese increasingly associate Islam with lucrative paths to mobility, in France, religion is treated as a barrier to belonging. French fluency and formal education index status in Senegal and facilitate integration in France, whereas religion is a key point of divergence between French and Senegalese notions of class, complicating efforts to achieve status transnationally. I argue that investments in multiple middle classes are complicated by a growing political and economic distance between Senegal and its former colonizer, showing how the symbols and stakes of middle-classness shift with national context and political–economic transformations.
Less Provisioning: A Hybrid Resource Scaling Engine for Long-Running Services With Tail Latency Guarantees

Modern resource management frameworks guarantee low tail latency for long-running services using the resource over-provisioning method, resulting in serious waste of resources and increasing the service costs greatly. To reduce the over-provisioning cost, we present HRSE, a hybrid resource scaling engine that enables much more efficient resource provisioning for both periodic and non-periodic workloads of long-running services while guaranteeing the tail latency Service Level Objective (SLO). HRSE employs a convolution-based time series analysis to identify periodic patterns in workloads. If periodic patterns are discovered, HRSE estimates the just-right amount of resources based on the periodic features through a <italic>top-</italic><inline-formula><tex-math notation="LaTeX">$K$</tex-math><alternatives><mml:math><mml:mi>K</mml:mi></mml:math><inline-graphic xlink:href="cai-ieq1-3016345.gif"/></alternatives></inline-formula> based collaborative filtering approach. Otherwise, it leverages wavelet-clustering to capture the short-term patterns in non-periodic workloads and predict the resource demands for the near future. To further enforce the tail latency SLO, HRSE uses an online reprovisioning mechanism that dynamically adjusts the resources to mitigate the performance uncertainty due to workload burstinesses. We fully implement HRSE on top of Docker and conduct extensive experiments using traces from production systems. Testbed experiments show that HRSE is able to increase the average resource utilization to 43 and 45 percent for periodic and non-periodic workloads respectively while guaranteeing the same tail latency objective.
A Fast and High-Accuracy Real-Time Visible Light Positioning System Based on Single LED Lamp With a Beacon

With the advantages of high positioning accuracy and low cost, visible light positioning (VLP) is becoming a promising solution for practical indoor positioning system. However, most of the VLP systems require at least two VLP LED lamps for accurate position calculation. Therefore, the application of VLP in practical scenarios may be restricted due to this limitation. In this paper, we propose a fast and high-accuracy single-LED based VLP system. Firstly, an unbalanced single-LED VLP algorithm is proposed to increase the positioning accuracy and reduce the computational complexity. Secondly, a fast beacon searching algorithm is proposed to further reduce the processing time for each captured image. Finally, since the proposed algorithms have the advantages of high accuracy and low complexity, the proposed system can also be implemented on a low-end hardware platform. Experimental results show that the average positioning error of the proposed system is decreased to 2.26 cm at the height of 3 m, and the average positioning time is reduced to 6.3 ms on a laptop and 60ms on a low-end embedded platform.
Deep Multi-View Subspace Clustering With Unified and Discriminative Learning

Deep multi-view subspace clustering has achieved promising performance compared with other multi-view clustering. However, existing deep multi-view subspace clustering only considers the global structure for all views, and they ignore the local geometric structure among each view. In addition, they cannot learn discriminative feature on different clusters of different views, i.e., inter-cluster difference. To solve these problems, in this paper, we propose a novel Deep Multi-view Subspace Clustering with Unified and Discriminative Learning (DMSC-UDL). DMSC-UDL combines global and local structures with self-expression layer. The global and local structures help each other forward and achieve small distance between samples of the same cluster. To make samples in different clusters of different views farther, DMSC-UDL uses a discriminative constraint between different views. In this way, DMSC-UDL makes the same cluster's samples have large weights, while different clusters’ samples have small weights. Thus, it can learn a better shared connection matrix for multi-view clustering. Extensive experimental results reveal that the proposed multi-view clustering method is superior to several state-of-the-art multi-view clustering methods in terms of performance.
Insect Juvenoids: Structural Qualifications and Structure-Activity Relationships of Alkylphenoxy-Substituted Terpenes as Insect Growth Disruptors Against Spodoptera littoralis (Boisduval) (Lepidoptera: Noctuidae) – Revisited†

Insect growth disruptors of the aryl terpenoid ether type including 185 compounds derived from 10 basic olefinic, epoxidised and alkoxidised type-structures were tested against the prepupae of the Mediterranean brocade, Spodoptera littoralis. The potent decenyl compounds are mainly derivatives of 4,8-dimethyl-3,7-decadiene and the epoxides of its external olefinic bond. The potent nonenyl compounds are mainly derivatives of either 4,8-dimethyl-3,7-nonadiene and the epoxides of its external olefinic bond or 3,7-dimethyl 6,7-epoxy-2-nonene. The phenyl group of the potent compounds have either methylenedioxy (3,4-), ethyl or methyl groups (4- or 3-). The presence of an alkoxy group on the terpenoid side chain, and/or the phenyl group does not lead to formation of a potent compound. The addition of one terminal carbon atom to some nonenyl derivatives leads to activity in the resulting decenyl compound. Continuing studies on synthetic juvenile hormone analogues may provide novel potent compounds for more benign insect control strategies.
An On-Chip Binary-Weight Convolution CMOS Image Sensor for Neural Networks

A CMOS image sensor (CIS) that can perform on-chip binary convolution is presented. The CIS can greatly reduce memory usage and computational complexity by directly generating a feature map for a binary neural network. The pixel readout of the CIS is performed in the column-parallel fashion using incremental delta-sigma analog-to-digital converters (ADCs). The CIS operates in two different modes: convolution and normal modes. When the column ADC is working in the convolution mode, it works as a first-order delta-sigma ADC and generates convolved images using a binary kernel. In the normal operation mode, the ADC is switched to a second-order delta-sigma ADC with little hardware modification and used to capture high-quality images. To demonstrate the CIS architecture, a 192 × 128-pixel CIS, which occupies an active die area of 14.44 mm2, is fabricated in a 0.18 μm standard CMOS process. The performance of the CIS is evaluated through measurements and network simulations. In the normal operation mode, the CIS achieves a read noise of 14.79 e-rms and a full-well capacity of 6,420 e- with a resulting dynamic range of 53 dB. The power consumptions of the CIS are 49.2 and 52.5 mW during the normal and convolution modes, respectively.
DNA barcoding of cyprinids (Labeo rohita, Catla catla and Cirrhinus mrigala), mitochondrial CO1-based study

Abstract For DNA barcoding, the Cytochrome C Oxidase 1 gene (CO1) is a genetic marker used as uniform, testimonial authentication and reliable evidence for a universal species-level bio-cataloguing system compared with the morphological identification. The barcoding of Catla catla, Cirrhinus mrigala and Labeo rohita of family Cyprinidae was accomplished in the present study. Amplified CO1 gene through PCR was sequenced and figured out using bioinformatic tools. Conspecific and congeneric, K2P nucleotide deviation and nucleotide composition, the number of haplotypes and haplotype diversity were calculated. All three species of studied fish (C. catla, L. rohita and C. mrigala) were G-deficient (17.2, 17.8 and 18.5%) than C (28.3, 27.0, 27.3), A (25.2, 27.3, 26.8) and T (28.0, 28.5, 28.1), respectively. The mean intraspecific and intergeneric K2P genetic distance was . 031% and 1.23%, respectively, with a high rate of transitional substitutions. Study revealed that C. catla followed the neutral evolution (R = .5), while C. mrigala (R = 2.01) and L. rohita (R = 2.84) deviated from it and offered very low genetic diversity (<.55).
Industrial Pervasive Edge Computing-Based Intelligence IoT for Surveillance Saliency Detection

Numerous surveillance data processing is crucial in the Internet-of-Things systems with pervasive edge computing. In this process, salient object detection from surveillance videos plays an important role because it provides the human-concerned semantic cue for various industrial tasks. However, it is still challenging for the existing studies with two aspects. The first one is the redundant saliency information from moving background to disturb the detection of salient objects. The second one is the difficulty to model the spatiotemporal saliency uncertainty. To overcome these challenges. In this article, an intelligent approach is proposed for surveillance saliency detection. It enables a region-proposal-based optical flow strategy to suppress the saliency enhancement of non-salient regions due to the moving background. Besides, it develops the bidirectional Bayesian state transition strategy to model the motion uncertainty for refining the spatiotemporal saliency feature. Extensive experiments have been performed on two datasets (the increase of $F_\beta$ is larger than 0.01 for DAVIS, and larger than 0.015 for UVSD), and the comparison with seven methods to evaluate the effectiveness of the proposed approach.
Fault-Tolerant Control of Common Electrical Faults in Dual Three-Phase PMSM Drives Fed by T-Type Three-Level Inverters

In this article, a deadbeat predictive current control based fault-tolerant control scheme is proposed for common electrical faults in T-type three-level inverter-fed dual three-phase permanent magnet synchronous machine (PMSM) drives, which aims at providing a solution for the application of high power rating, low switching frequency, low complexity, and high reliability. First, deadbeat control is combined with current prediction to obtain precise voltage reference for the current control. Each three-phase three-level inverter generates a single optimal inverter voltage vector based on a new division method of space vector diagram. In this way, both low switch frequency and high control precision can be guaranteed in a high-power motor system. Second, fault-tolerant control schemes are designed for five types of common electric faults in a T-type three-level inverter-fed dual three-phase PMSM without changing the mathematical model and control framework. Thus, the complexity of the proposed fault-tolerant control schemes can be avoided and smooth transition can be guaranteed. The validity of the proposed schemes is verified by experimental results.