Miracle-dz/UniFAR-FTUs huggingface dataset:
Matching Neural Network for Extreme Multi-Label Learning

Multi-label learning involving hundreds of thousands or even millions of labels is referred to as extreme multi-label learning, in which the labels often follow a power-law distribution with the majority occurring in very few data points as tail labels. As a promising solution of multi-label learning, however, the embedding-based methods face a problem that most of them have the basic low-rank assumption but the widespread of tail labels in data violates it. Recently, research efforts have been put on building tail label tolerant embedding-based models, however, for real-life datasets containing substantial data points with only tail labels, simply treating them as label matrix outliers will incur severe information loss, meanwhile accurately computing the pairwise distances between label vectors turns infeasible. In light of this, we present the Matching Neural Network (MNN), which learns two neural mapping functions that encode feature vectors and label vectors into their distributed representations, respectively. A noise contrastive loss is also proposed to guide the training of the functions so as to ensure matched features and labels have similar distributed representation measured by cosine similarity. Extensive experiments on various benchmark datasets with state-of-the-art baselines demonstrate the more accurate predictions of MNN.
Computational Design of Single Mo Atom Anchored Defective Boron Phosphide Monolayer as a High‐performance Electrocatalyst for the Nitrogen Reduction Reaction

Catalytic reduction of molecular dinitrogen (N2) to ammonia (NH3) is one of the most important and challenging industrial reactions. Electrochemical reduction is considered as an energy‐saving technology for artificial ambient nitrogen fixation, which is emerging as an optimal potential sustainable strategy to substitute for the Haber–Bosch process. However, this process demands efficient catalysts for the N2 reduction reaction (NRR). Here, by means of first‐principles calculations, we systematically explored the potential electrocatalytic performance of single transition metal atoms (Pd, Ag, Rh, Cu, Ti, Mo, Mn, Zn, Fe, Co, Ru, and Pt) embedded in monolayer defective boron phosphide (TMs/BP) monolayer with a phosphorus monovacancy for ambient NH3 production. Among them, the Mo/BP exhibits the best catalytic performance for ambient reduction of N2 through the typical enzymatic and consecutive reaction pathways with an activation barrier of 0.68 eV, indicating that Mo/BP is an efficient catalyst for N2 fixation. We believe that this work could provide a new avenue of ambient NH3 synthesis by using the designed single‐atom electrocatalysts.
Vertical influence of temperature and precipitation on snow cover variability in the Yarlung Zangbo River basin, China

Seasonal snow cover in mountainous areas is a key source of water for downstream regions. The snow cover area (SCA) in the Northern Hemisphere has significantly decreased during the past decades in response to global warming. Therefore, it is necessary to investigate the primary factors controlling the spatiotemporal variabilities in the SCA in high altitude regions. In this study, based on remote sensing data of SCA, temperature, and precipitation in the Yarlung Zangbo River basin, Pearson's correlation analysis was used to identify the relative importance of temperature and precipitation on the SCA variability with altitude. The results showed that temperature played a more dominant role for the SCA than precipitation at all elevation during the period 2001–2017; three threshold altitudes at high, moderate, and low elevation were identified, and these threshold altitudes are dynamic and vary with time; the threshold altitude at high elevation was 5,925 ± 125 m, below which temperature (precipitation) was negatively (positively) correlated and above which temperature (precipitation) was positively (negatively) correlated with the SCA; the threshold altitude at moderate elevation was 3,200 ± 300 m, below which temperature (precipitation) was positively (negatively) correlated and above which temperature (precipitation) was negatively (positively) correlated with the SCA; the threshold altitude in low elevation regions was 2,100 ± 200 m. This study sheds light on the dominant climatic control factors on the variability in SCA in high altitude regions. These results have major implications for SCA and water resources availability under future climate change.
Bearing Fault Identification Using Machine Learning and Adaptive Cascade Fault Observer

In this work, a hybrid procedure for bearing fault identification using a machine learning and adaptive cascade observer is explained. To design an adaptive cascade observer, the normal signal approximation is the first step. Therefore, the fuzzy orthonormal regressive (FOR) technique was developed to approximate the acoustic emission (AE) and vibration (non-stationary and nonlinear) bearing signals in normal conditions. After approximating the normal signal of bearing using the FOR technique, the adaptive cascade observer is modeled in four steps. First, the linear observation technique using a FOR proportional-integral (PI) observer (FOR-PIO) is developed. In the second step, to increase the power of uncertaintie rejection (robustness) of the FOR-PIO, the structure procedure is used serially. Next, the fuzzy like observer is selected to increase the accuracy of FOR structure PI observer (FOR-SPIO). Moreover, the adaptive technique is used to develop the reliability of the cascade (fuzzy-structure PI) observer. Additionally to fault identification, the machine-learning algorithm using a support vector machine (SVM) is recommended. The effectiveness of the adaptive cascade observer with the SVM fault identifier was validated by a vibration and AE datasets. Based on the results, the average vibration and AE fault diagnosis using the adaptive cascade observer with the SVM fault identifier are 97.8% and 97.65%, respectively.
Student choice of higher education institutions in a post-transitional country: evidence from Serbia

Abstract The sector of higher education in developed countries has been facing important structural changes over the last decade, which is now expanding to developing countries also. As the competitive landscape is changing, the trend of commercialisation of higher education has become more evident. Higher education institutions (H.E.I.s) have been developing their business strategies, with a clear focus on marketing activities, changes in organisational processes, and even changes in their priorities and missions, thus becoming more lucrative. Knowing student behaviour and criteria for choice decisions and recognising the main determinants of students’ choice is the basis for establishing an effective strategy of H.E. I.s. The aim of this article is to shed light on student choice criteria when deciding which institution in higher education to enrol, and to identify main moderating influences. Linear mixed model (L.M.M.) was used as the main methodological tool for analysing the main variation in the attitudes and expectations of students, based on several moderating variables, their socio-demographic and personal characteristics. The results reveal main institutional attributes that HEIs from a post-transitional country can use for the effective market positioning, and the influence of gender, academic aspirations and achievements on the assessment of various students’ choice criteria.
Complete mitochondrial genome of a leaf-mining beetle, Agonita chinensis Weise (Coleoptera: Chrysomelidae)

Abstract The complete circular mitochondrial genome of Agonita chinensis was 16,395 bp in length, which contained two ribosomal RNA genes, 22 transfer RNAs, 13 protein-coding genes (PCGs) and one non-coding AT-rich region with the length of 2001 bp. All of the 22 tRNA genes displayed a typical clover-leaf structure, with the exception of tRNASer (TCT). Twelve PCGs were initiated by ATN codons, except that nad1 started with TTG. Only four PCGs used the typical stop codon ‘TAA’ and ‘TGA’, while nine PCGs terminated with incomplete stop codons (TA or T). Phylogenetic analysis based on 13 PCGs of Chrysomelidae mitogenomes showed that A. chinensis was closely related to Cassida viridis.
Mechanism-oriented control for suppressing start-up judder of vehicle with automatic dry clutch: Experiment and simulation analysis

In this paper, a mechanism-oriented control strategy is proposed to cut off the introduction process of negative damping caused by the Stribeck effect for suppressing the vehicle start-up judder. From the experimental analysis, the characteristic frequency of start-up judder is mainly concentrated at about 8.25 Hz, coinciding with the first-order natural frequency of the driveline system. A 13-degree-of-freedom powertrain branched model is established, whose validity and accuracy in reflecting the characteristics of start-up judder are verified by comparing with the experimental results in time–frequency domain. The start-up judder mechanism is profoundly revealed through explaining the introduction of negative damping and the origin of characteristic frequency. The positive-feedback closed loop caused by the negative gradient characteristic of the Stribeck effect is the determining factor that promotes the aggravation of the fluctuation in the rotational speed of clutch-driven plate, which is the manifestation of the negative damping. The core idea of the mechanism-oriented control strategy is to cut off the positive-feedback closed loop, which is achieved by fine-tuning the position of release bearing. The judder-suppression performance behaves well both in simulation and in experiment.
The use of salivary α-amylase as an evolutionary solution to host selection in parasitoids

Foraging parasitoids use chemical signals in host recognition and selection processes. Thereby, chemicals from the herbivore hosts play a crucial role. When different herbivores are present in the same plant or field, the perception of specific volatiles and contact compounds emitted from the host itself enable the parasitoids both to differentiate between hosts and non-hosts and to estimate the health status of its host. During the host feeding process, contact between the parasitoid and its host is very crucial, and oral secretions from the host play a key role during the first contact for such evaluation by the parasitoid. Using an integration of behavioral observations, biochemical and sensory physiological approaches we demonstrate that female parasitoids of Cotesia flavipes recognize their host and oviposit in reaction to an α-amylase, which is present in the oral secretions of the larvae of their host, Chilo partellus. This activity was also mediated by a purified α-amylase synthetized from Drosophila melanogaster. Using this synthetized enzyme, we further demonstrate that the conformation of the enzyme rather than its catalytic site is responsible for this activity. This enzyme is activating gustatory neurons of the terminal antennal sensilla chaetica of C. flavipes females. α-amylases are therefore good candidates for an evolutionary solution to host selection in parasitoids, thus opening new avenues for investigations in hosts-parasitoids interactions.
Optimizing Outcomes With Physical Therapy Treatment for IndividuALs Surviving an Intensive Care Units Admission for COVID-19 (OPTImAL)—A Protocol for a Single Center Prospective Study

Kirby P. Mayer, DPT, PhD; Angela K. Steele, PT, ACSM-CEP; Rajan R. Joshi, MD; Melissa K. Soper, APRN; Esther E. DupontVersteegden, PhD; Peter E. Morris, MD; Ashley A. Montgomery, MD; Selina M. Parry, PT, PhD Department of Physical Therapy, College of Health Sciences, University of Kentucky, Lexington, KY Pulmonary Rehabilitation, Division of Pulmonary, Critical Care and Sleep Medicine, College of Medicine, University of Kentucky, Lexington, KY Division of Pulmonary, Critical Care and Sleep Medicine, College of Medicine, University of Kentucky, Lexington, KY Department of Physiotherapy, School of Health Sciences, The University of Melbourne, Melbourne, Australia
A reward–punishment feedback control strategy based on energy information for wrist rehabilitation

Based on evidence from the previous research in rehabilitation robot control strategies, we found that the common feature of the effective control strategies to promote subjects’ engagement is creating a reward–punishment feedback mechanism. This article proposes a reward–punishment feedback control strategy based on energy information. Firstly, an engagement estimated approach based on energy information is developed to evaluate subjects’ performance. Secondly, the estimated result forms a reward–punishment term, which is introduced into a standard model-based adaptive controller. This modified adaptive controller is capable of giving the reward–punishment feedback to subjects according to their engagement. Finally, several experiments are implemented using a wrist rehabilitation robot to evaluate the proposed control strategy with 10 healthy subjects who have not cardiovascular and cerebrovascular diseases. The results of these experiments show that the mean coefficient of determination (R 2) of the data obtained by the proposed approach and the classical approach is 0.7988, which illustrate the reliability of the engagement estimated approach based on energy information. And the results also demonstrate that the proposed controller has great potential to promote patients’ engagement for wrist rehabilitation.
Human Face Detection: Manual vs. Kohonen Self Organizing Map

In today's world it is very much important to maintain the security of information and its risks. The biometric-based techniques are very much useful in these problems. Among the several kinds of biometric-based technique, face detection is much complex and much more important. Due to the age and several other problems, a human face structure changes over time, again a human has lots of expressions. Sometimes due to the lighting condition or the variation of the angle of an input device, the pattern of a human face structure also changed. As a result, the face cannot be detected properly. In this paper, a method is proposed that can detect the human faces both automatically and manually very efficiently. In manual mode, a user can select the input faces referred by the system according to their choice. In automated mode, the system detected all possible face areas using the Kohonen Self-Organizing Feature Map technique. This method reduced the complex color image into a vector quantized image with desired colors. Then a color segmentation technique is used to detect the possible face skin areas from the vector quantized image. Then the Histogram Oriented Gradient technique used to detect the feature from the faces and K-Nearest Neighbour Classifier is used to compare both face images detected by the two modes. The automated method prosed better accuracy than the manual method.
Bacillus amyloliquefaciens BSL16 improves phytoremediation potential of Solanum lycopersicum during copper stress

ABSTRACT Current study aimed at exploring the diversity of bacterial endophytes with Boswellia sacra and their role in copper (Cu) stress to tomato plants. Bacterial endophytes were belonged to Bacillus, Rhizobium and Paenibacillus, which were screened against Cu (0–10 mM) stress to dwarf and normal rice seeds. Among strains, Bacillus amyloliquefaciens BSL16 showed significantly higher bioremediation potential by accumulating high Cu and promoting growth of rice seeds. B. amyloliquefaciens BSL16 significantly increased growth of tomato plants during 2.5 mM Cu stress. Active colonization of BSL16 reduced the accumulation of Cu in leaf, shoot, and root, and in parallel up-regulated total protein contents in leaf and stem. Glutathione peroxidase and reduced glutathione contents were significantly higher and lipid peroxidation was lower in endophyte-treated tomato plants as compared to Cu treatment. The current results conclude that application of metal bio-accumulating bacteria can help in improving the plant growth of tomato plants during Cu stress.
Politics and Indigenous Victimization: The Case of Brazil

There is a dearth of criminological scholarship on how the political persuasions of governments affect Indigenous people as it relates to human rights and environmental consequences, whether positive or negative, for Indigenous peoples. To address this gap, we develop a comparative instrumental case study of the policies concerning Indigenous peoples implemented during two political periods in Brazil: the administrations of presidents Silva (2003–2010) and Rousseff (2011–2016) and the administrations of Temer (2016–2018) and Bolsonaro (2019–). We explore the consequences for Indigenous peoples of these leftist and the right-wing governments. We argue that governments of both political leanings victimize Indigenous populations, with leftist governments using structural violence and right-wing governments engaging additionally in symbolic and direct violence.
Diversity of Soil Gamasine Mites (Acari: Mesostigmata: Gamasina) in an Area of Natural Vegetation and Cultivated Areas of the Cerrado Biome in Northern Brazil

The Brazilian Cerrado biome has undergone major changes, with the incorporation of new areas for agricultural production. While this can certainly provide for the worldwide growing need for agricultural products, especially food, care should be taken to prevent possible environmental degradation. Worldwide, mites of the cohort Gamasina constitute the most abundant and diverse group of soil predatory mites, usually considered important in maintaining the ecological balance of natural environments. Little is known about the abundance and diversity of Gamasina in the Cerrado. The objective of the present work was to evaluate the abundance and diversity of Gamasina in soils of natural vegetation and of agroecosystems in Cerrado areas of the northern Brazilian state of Tocantins. This is considered the first step in the determination of possible role of the local predators as biological control agents, and their potential for practical use locally and elsewhere. Soil samples were taken monthly between July 2015 and June 2016. In total, 1373 Gamasina representing 45 species of 24 genera and 9 families were collected. The most abundant Gamasina belonged to Rhodacaridae in areas of the natural vegetation and to Ascidae in the agroecosystems. Abundance and diversity were much higher in the rainy than in the dry season. Rhodacarids and ascids have not been used commercially for pest control, but investigations conducted so far suggest their potential as biological control agents. The confirmation of this possibility and the development of techniques that would allow their maintenance in agricultural areas require subsequent research efforts.
Towards redeeming marriage custom from ‘triangular captivity’: The missional dilemma of the Methodist Church in Zimbabwe

CITATION: Mujinga, M. 2020. Towards redeeming marriage custom from triangular captivity : the missional dilemma of the Methodist Church in Zimbabwe. Verbum et Ecclesia, 41(1):a2067, doi:10.4102/ve.v41i1. 2067.
Financialization, labor market institutions and inequality

Abstract The last three decades have witnessed rising inequality and deepening financialization in post-industrial democracies. A rapidly growing literature has linked these two phenomena. We go beyond existing scholarship by specifying which aspects of financialization can be expected to increase inequality and where in the income distribution this effect will occur. We also show that this effect is contingent on institutional context. We posit that the shareholder model of corporate governance and the growing demand for financial professionals are the two dimensions of financialization that drive up pre-tax income inequality. Nevertheless, the spread of the shareholder value model only benefits the very top income earners. We further argue that the institutional strength of labor shapes the relationship between financialization and inequality. We analyze effects of indicators of these two dimensions of financialization on the top 1% and the next 9% income shares and on the 90:50 earnings ratio. We test our hypotheses with data on 18 post-industrial democracies between 1960 and 2015.
Australian Rainfall Anomalies in 2018–2019 Linked to Indo‐Pacific Driver Indices Using ERA5 Reanalyses

The 2019 and 2018–2019 periods had record low All‐Australia rainfall in both observations and the ECMWF's Reanalysis 5, or ERA5, data set over 1979–2019. An analysis of the relationships between interannual variability of rainfall and atmospheric circulation, vertically integrated moisture flux, and temperature anomalies using ERA5 alone is undertaken. Both standard driver indices and those that combine the Pacific and Indian Ocean influences are used. Regression fields for low annual Australian rainfall show a widespread negative rainfall anomaly extending into the east Indian Ocean or IND region and a positive anomaly in the western Pacific PAC region. A moisture flux anomaly takes moisture eastwards toward PAC. This pattern largely persists in the four seasons. In March–May 2019 it can be partially linked to a positive Niño 3.4 anomaly and in June–August to a positive Indian Ocean Dipole. For the annual case, the detrended Niño 4 index explains 24% of the 2019 ERA5 Australian rainfall deficit. This rises to 38% for the 2018–2019 deficit (46% for observations), for the Pacific‐Indian Dipole index that combines the PAC and IND regions, whose sea surface temperature anomalies have opposite effects. The correlation of the index with 2‐year rainfall is −0.7. There is much variability, in the Australian monsoon rainfall especially, that is not linked to simple indices, although rainfall is well matched with moisture flux convergence. This extends to the equatorial zone where the climate of the Maritime Continent can be better examined with ERA5's 0.25° data.
The use of graphs as an impression management tool in the annual integrated reports of South African listed entities

Orientation: The annual integrated report is one of the primary means used by companies to communicate with stakeholders regarding both financial and non-financial information. However, the format of the annual integrated report has changed, resulting in different communication mediums being used. Graphic disclosure is being used more widely for both financial and non-financial information. Although beneficial, graphs may also be used by management to manipulate how readers interpret results. Research purpose: The purpose of the study was to analyse the frequency, quality and measurement distortion of graphs in the annual reports of the top 100 South African listed companies. Motivation for the study: Research on graph usage in South Africa is limited. The study explored the extent to which South African listed companies use graphs in annual reports and if graphs are employed as an impression management tool. Research approach/design and method: The study followed a descriptive quantitative research method. Graphs in the annual reports of the sampled companies were analysed based on guidelines developed by earlier researchers to determine the quality and measurement distortion of graphs. Main findings: Graphs are used widely by South African listed companies. South African companies do not enhance the presentational features of graphs to a large degree, but the graphs analysed show significant measurement distortion. Graphs presented tended to overstate the underlying trend as opposed to an understatement. Practical/managerial implications: The study will be beneficial to the users, regulatory bodies, auditors and the management of companies to understand how graphs can be used to alter the presentation of results, which could result in incorrect decisions being taken. Contribution/value-add: This study contributes to the body of research regarding the quality of annual integrated reports in a South African context and may assist users who use these reports to understand how graphs can be used as a manipulation tool.