Miracle-dz/UniFAR-FTUs huggingface dataset:
Responding to diversity in groups: exploring professional uses of self

ABSTRACT Despite its historic prominence in group work, there is little empirical research to support our understanding of the professional use of self in group work. This paper reports the results of a SPARC endorsed study, which focused on group workers’ experience and struggle with their professional uses of self in groups in responding to diversity. Using focus groups, a semi-structured interview format, and Straussian grounded theory data analysis, two key themes emerged – grappling with professional uses of self and disengagement from professional uses of self. When grappling with professional uses of self, group workers employed intentional self-disclosure, opened space, and supported norms for the expression of diversity, humility, genuineness, and reflexivity. Disengagement occurred in response to fear and often resulted in an overemphasis on group tasks. Our results suggest that the effective professional use of self in the here and now of group dynamics creates a sense of safety for both the group workers and the group members when responding to diversity. The implications of this study highlight the need for a method that supports critical self-reflection in real-time in group and builds capacity for responsibly responding to diversity in groups.
A gradient boosting approach to estimating tail risk interconnectedness

ABSTRACT Interconnectedness, an important risk indicator, should be gauged when assessing the tail risk of financial institutes. Considering potential nonlinearity and interaction in the networked tail risk contagion, we propose an interpretably non-parametric measure based on Gradient Boosting Machine (GBM) to estimate interconnectedness across financial institutes. The proposed measure can be utilized to monitor tail risk spillover channels. We apply our proposed measure to investigate the tail risk interconnectedness of the listed banks in China. We find that the tail risks tend to be spilled over within the same type of banks. The empirical result also implies that the bank heavily involved with the interbank business, such as Industrial Bank, is worthy of regulators’ attention. Further analysis shows that the total connectedness of the banking system increases when the financial system is under distress. Finally, we document that state-owned banks are the main tail risk emitters during financial turbulence. Our study not only presents a flexibly data-driven way to quantify tail risk contagion but also provides useful information to policymakers for prudential supervision.
Effect of benzoyl treatment on the performance of sugar palm/kenaf fiber-reinforced polypropylene hybrid composites

The main purpose of this work is to investigate the effect of benzoyl treatment on the performance of sugar palm/kenaf fiber-reinforced polypropylene hybrid composites. Water absorption tests were carried out to confirm the effect of benzoylation treatment toward fabricating a more hydrophobic behavior of the hybrid composites. Both treated and untreated composites that have 10 wt. % of fiber loading with three different fiber ratios between sugar palm and kenaf (7:3, 5:5, 3:7) were analyzed. Physical and mechanical properties such as tensile, flexural, and impact strength were determined from this study. Morphological properties were obtained using scanning electron microscopy (SEM). It was found that the tensile strength of sugar palm/kenaf-reinforced polypropylene hybrid composites was improved with the treatment of benzoyl with a value of 19.41 MPa. In addition, hybrid composite with treated sugar palm and kenaf fiber T-SP3K7 recorded the highest impact and flexural strength of 19.4 MPa and 18.4 MPa, respectively. In addition, SEM demonstrated that surface treatment enhanced the mechanical properties of the hybrid composites. Overall, it can be suggested that benzoyl-treated composites with a higher volume of kenaf fiber than sugar palm fiber will improve the mechanical characteristics of the hybrid composites.
Nucleus Image Segmentation Method Based on GAN Network and FCN Model

Aiming at the problems of rough edges and low accuracy in processing cell nucleus image segmentation in existing image segmentation methods. A cell nucleus image segmentation technology based on generative adversarial network (GAN) network and fully convolutional network (FCN) model is proposed. First, the FCN model is used to perform preliminary segmentation of the cell nucleus image, in which the fully connected layer convolution and skip connection are used to improve the accuracy of image segmentation. Then, improve the GAN network, introduce splitting branches into the discriminator structure, and combine the GAN network and the splitting network into one. At the same time, pixel loss is introduced in the generator to obtain a nucleus image that is visually more similar to the real image. Finally, the segmented image output by the FCN model is used as the input of the GAN network to achieve high-precision segmentation of the nucleus image. The proposed method is experimentally demonstrated based on the 2018 data science bowl dataset. The results show that it can achieve rapid convergence, and the mean intersection over union (MIoU) is 85.34%, which is better than other comparison methods.
Analisis Sentimen Terhadap Opini Masyarakat Tentang Vaksin Covid-19 Menggunakan Algoritma Naïve Bayes Classifier

Wabah virus corona telah membawa langkah-langkah yang belum pernah terjadi sebelumnya, yang memaksa pihak berwenang untuk membuat keputusan terkait dengan penerapan lockdown di beberapa daerah yang dilanda pandemi. Media sosial telah menjadi pendukung penting bagi orang-orang saat melewati masa sulit ini. Pada tanggal 9 November 2020, ketika vaksin pertama dengan tingkat efektif lebih dari 90% telah diumumkan, media sosial telah bereaksi dan orang-orang di seluruh dunia mulai mengekspresikan perasaan mereka terkait dengan vaksinasi. Penelitian ini bertujuan untuk menganalisis pendapat tentang vaksinasi COVID-19 di Indonesia. Analisis dilakukan terhadap data 3780 tweet yang berkaitan vaksinasi dengan menggunakan algoritma Naïve Bayes Classifier. Berdasarkan analisis, dapat diamati bahwa sebagian besar tweet memiliki sikap positif (60,3 %), sementara jumlah tweet yang netral (34,4 %) melebihi jumlah tweet yang menentang (5,4 %). Nilai akurasi yang dihasilkan sebesar 0,93 (93 %).
Deep Multimodal Emotion Recognition on Human Speech: A Review

This work reviews the state of the art in multimodal speech emotion recognition methodologies, focusing on audio, text and visual information. We provide a new, descriptive categorization of methods, based on the way they handle the inter-modality and intra-modality dynamics in the temporal dimension: (i) non-temporal architectures (NTA), which do not significantly model the temporal dimension in both unimodal and multimodal interaction; (ii) pseudo-temporal architectures (PTA), which also assume an oversimplification of the temporal dimension, although in one of the unimodal or multimodal interactions; and (iii) temporal architectures (TA), which try to capture both unimodal and cross-modal temporal dependencies. In addition, we review the basic feature representation methods for each modality, and we present aggregated evaluation results on the reported methodologies. Finally, we conclude this work with an in-depth analysis of the future challenges related to validation procedures, representation learning and method robustness.
Multiple Sound Source Localization Based on Interchannel Phase Differences in All Frequencies with Spectral Masks

One of the most widely used cues for sound source localization is the interchannel phase differences (IPDs) in the frequency domain. However, the spatial aliasing makes the utilization of the IPDs in the high frequencies difﬁcult, especially when the distance between the microphones is high. Recently, the phase replication method which considers the direction-of-arrival (DoA) candidates corresponding to all the possible un-wrapped phase differences in all frequency bins was proposed. However, high frequency bins with possible spatial aliasing contribute more when constructing initial DoA histograms compared with low frequency bins, which may not be desirable for source localization. In this paper, we propose to utilize the IPDs in all the frequency bins with equal weights regardless of maximum number of phase wrapping in that frequency for dual microphone sound source localization. We applied spectral masks based on local signal-to-noise ratios and coherences between microphone signals to exclude time-frequency bins without directional audio signal from the DoA histogram construction. Experimental results show that the proposed method results in more distinct peaks in the DoA histogram and outperforms the conventional method in various noisy and reverberant environments.
Site-Effects Dominate the Plant Availability of Nutrients under Salix Species during the First Cutting Cycle

Fast-growing willows (Salix spp.) provide alternative sources of renewable energy generation, but need an adequate nutrient availability in the soil for high biomass production. In general, species mixtures can be more nutrient-efficient than pure cultures, but this is scarcely known for Salix spp. Therefore, this study evaluates the nutrient availability and P mobilization under two willow species, Salixdasyclados var. ‘Loden’ and S. schwerinii × viminalis var. ‘Tora’, grown as pure and mixed cultures at non-fertilized former arable sites in Germany (Stagnic Cambisol) and Sweden (Vertic Cambisol). The plant availability of potassium (K), magnesium (Mg) and phosphorus (P) and soil phosphatase activities in the topsoil were measured in spring of the year of planting (initial) and under 4 years-old stocks (one year after the first 3-year cutting cycle). The initial plant availability of the nutrients significantly differed between the sites and the two sampling dates at both sites. The plant availability of K and Mg was optimal to high at both sites and sampling dates, but rather low for P (after 4 years ≤5 mg P 100 g−1 soil). The plant-available P and K content in soil significantly decreased within the 4 years of willow growth at both sites. The acid and alkaline phosphatase activity in the soil of the German site (Rostock) was significantly lower after 4 years of willow growth, but differed not significantly between the two sampling dates at the Swedish site (Uppsala). Higher activity of acid phosphatase compared to alkaline phosphatase was recorded in the soils at both test sites based on the site-specific soil pH (<7). The slight decrease of plant availability of P after 4 years of Salix growth in pure culture differed not significantly between the different species. Mixed growth did not decrease the plant availability of P within this period, although no significant difference in the biomass production of pure and mixed growth was observed. This was valid at both sites, and therefore, seems independent of the site-specific differences in soil and climate conditions. The general validity of the assumptions should be tested also for other species mixtures and soil conditions in the future before site-adapted growth designs can be recommended in biomass production of Salix.
Effect of Two- and Three-Dimensionally Designed Guide Vanes with Different Camber Length on Static Pressure Recovery of a Wall-Mounted Axial Fan

This study was based on a numerical effort to use the motor support (prop) as a guide vane when the motor of a wall-mounted axial fan was located at the fan outlet while maintaining the structural and spatial advantage. The design for the guide vane followed two- and three-dimensional methods. The inlet vane angle, meridional length (total), and meridional length with a vane angle of zero (0) degrees (linear) were considered as design variables. At the design and some low flow rate points, the 2D design offered the most favorable performance when the meridional length with a vane angle of zero (0) degrees (linear) was 30% based on total length, and was the worst for 70%. The 3D design method applied in this study did not outperform the 2D design. In the 2D design concept, averaging the flow angle for the entire span at the design flow rate could ensure a better pressure rise over a more comprehensive flow rate range than weighting the flow angle for a specific span. In addition, the numerical results were validated through an experimental test, with an important discussion of the swirl (dynamic pressure) component. The influence of the inlet motor and turbulence model are presented as a previous confirmation.
Density Functional Theory Study of Substitution Effects on the Second-Order Nonlinear Optical Properties of Lindquist-Type Organo-Imido Polyoxometalates

Density functional theory and time-dependent density functional theory have been enacted to investigate the effects of donor and acceptor on the first hyperpolarizability of Lindquist-type organo-imido polyoxometalates (POMs). These calculations employ a range-separated hybrid exchange-correlation functional (ωB97X-D), account for solvent effects using the implicit polarizable continuum model, and analyze the first hyperpolarizabilities by using the two-state approximation. They highlight the beneficial role of strong donors as well as of π-conjugated spacers (CH=CH rather than C≡C) on the first hyperpolarizabilities. Analysis based on the unit sphere representation confirms the one-dimensional push-pull π-conjugated character of the POMs substituted by donor groups and the corresponding value of the depolarization ratios close to 5. Furthermore, the use of the two-state approximation is demonstrated to be suitable for explaining the origin of the variations of the first hyperpolarizabilities as a function of the characteristics of a unique low-energy charge-transfer excited state and to attribute most of the first hyperpolarizability changes to the difference of dipole moment between the ground and that charge-transfer excited state.
The Greek hotel sector: an analysis of job satisfaction, role conflict and autonomy of Greek employees

Abstract The present study examined job satisfaction within the hotel industries from the perspective of ambiguity, role conflict and job autonomy, as well as their interactions. Structurally, the analysis begins with the presentation of the general theoretical framework, followed by the quantitative investigation of the aforementioned relationships and the verification of the research hypotheses. The existence of a negative relationship between role conflict and job ambiguity with job satisfaction, was partially confirmed, whereas role conflict had low, positive relationship with job satisfaction. Furthermore, autonomy did not play a regulatory role in the relationship between conflict and job ambiguity and job satisfaction.
Similarity-Aware Architecture/Compiler Co-Designed Context-Reduction Framework for Modulo-Scheduled CGRA

Modulo-scheduled coarse-grained reconfigurable array (CGRA) processors have shown their potential for exploiting loop-level parallelism at high energy efficiency. However, these CGRAs need frequent reconfiguration during their execution, which makes them suffer from large area and power overhead for context memory and context-fetching. To tackle this challenge, this paper uses an architecture/compiler co-designed method for context reduction. From an architecture perspective, we carefully partition the context into several subsections and only fetch the subsections that are different to the former context word whenever fetching the new context. We package each different subsection with an opcode and index value to formulate a context-fetching primitive (CFP) and explore the hardware design space by providing the centralized and distributed CFP-fetching CGRA to support this CFP-based context-fetching scheme. From the software side, we develop a similarity-aware tuning algorithm and integrate it into state-of-the-art modulo scheduling and memory access conflict optimization algorithms. The whole compilation flow can efficiently improve the similarities between contexts in each PE for the purpose of reducing both context-fetching latency and context footprint. Experimental results show that our HW/SW co-designed framework can improve the area efficiency and energy efficiency to at most 34% and 21% higher with only 2% performance overhead.
Modelling and platform application of the behaviour of a cyber physical production system

ABSTRACT Cyber physical production systems (CPPSs) exemplify the application of cyber physical systems in the manufacturing industry and are the basis for realising Industry 4.0. However, the adaptivity, reconfigurability, and interoperability of CPPSs result in high complexity and uncertainty in their design and implementation. To rectify this problem, this paper proposes a behavioural model-driven modelling method for lifecycle support of CPPSs. To this end, the general framework and operating mechanism of the proposed model are first specified and a meta-modelling language is developed based on object-oriented timed coloured knowledge Petri net. Subsequently, the hierarchical modelling and platform application of the CPPS behaviour is realised, and a laboratory-scale case study that demonstrates the efficacy of the proposed approach is presented.
A novel PVT‐variation‐tolerant Schmitt‐trigger‐based 12T SRAM cell with improved write ability and high ION/IOFF ratio in sub‐threshold region

This paper presents a process voltage temperature (PVT)‐variation‐tolerant Schmitt‐trigger‐based 12T SRAM cell at 32 nm. The cell uses a modified Schmitt‐trigger action in all operating modes for performance improvement, a characteristic that is not exhibited by existing SRAM cells. The action improves the stability of stored data in read and hold modes and assists the write process to enable a faster and low‐voltage write operation. Additionally, the cell uses negative bitline technique and fully‐gated grounded scheme for achieving further improvement in write ability and ION/IOFF ratio. The proposed cell shows 34.9% reduced deviation in switching threshold voltage in comparison to conventional structure. Further, improvement of up to 211% in write ability and 169% in ION/IOFF ratio is obtained over existing SRAM cells operating in sub‐threshold region. The cell takes up to 86% and 99% lesser read and write access time, respectively. The Monte‐Carlo simulations show the robust performance of proposed cell. The cell has reduced write, read, and hold failure probabilities resulting in overall Vmin of 425 mV, which is the least among the cells considered for comparison, thus making it an amenable design suitable for sub‐threshold operation under PVT‐variations.
Microwave Induction Heating of Polymer-Modified Asphalt Materials for Self-Healing and Deicing

This study evaluates the influence of polymer-modification on the induction heating capability of asphalt mastic in a microwave field, and investigates how effectively this approach can be utilized for ice melting and self-healing purposes. To this end, different asphalt mastic mixtures with different polymer-modification and mixing procedures were tested under microwave field exposure for induction heating capability, ice-melting ability, and self-healing capacity. The mixtures were made through warm-mix and hot-mix procedures with four bituminous binders, including virgin (unmodified) asphalt and the same binder modified with three types of polymers. The results showed the effectiveness of microwave induction heating of asphalt mastic for both crack-healing and deicing purposes. The binder type was found to influence the ice melting and crack healing rates, such that using a warm-mix asphalt binder resulted in a more efficient heat generation and conduction than using a virgin asphalt binder. While polymer-modification undermined induction-heating, ice-melting, and self-healing performances, SBS-modified asphalt binders exhibited better performance than the other polymer-modified binders.
Investigating the influence of expressive writing exercises on the working memory of middle adolescents and young adults in South Africa

This study investigated the influence of expressive writing on the working memory capacity of middle adolescents (learners 15–17 years old) and young adults (students 18–24 years old) in the South African context. The assumption underlying the research was that expressive writing about a stressful event would reduce unwanted thoughts and the resultant demand on cognitive resources, thereby increasing working memory capacity. Two experiments were conducted involving a sample of 28 school learners and a sample of 38 university students. In each experiment, the participants were assigned to three writing conditions: a factual event for the control group and either just a stressful event, or a solution to a stressful event, for the two experimental groups. It was postulated that the solution-focused group would gain the most from the expressive writing tasks. Working memory capacity assessments were conducted before and after the expressive writing intervention and again about 14 weeks later to test for a long-term effect on working memory capacity. A positive effect was found regarding the working memory capacity of the students, but there was no statistically significant improvement in the working memory capacity of the learners. Furthermore, although the results of the student groups did indicate that an expressive writing intervention may enhance working memory capacity, this effect was not mostly restricted to the solution-focused experimental groups as was hypothesised. Instead, the results suggested that expressive writing exercises may have had a positive effect on the memory performance of all three groups.
Study of magnetic and optical transitions in MFe2O4 (M=Co, Zn, Fe, Mn) with spinel structure

Spinel ferrite (MFe 2 O 4 ) nanoparticles were successfully synthesized by the coprecipitation method. X-ray diffraction technique was employed for structural analysis. Single-phase cubic spinel structure with an average crystallite size ranging from 5 – 20 nm was obtained for the prepared ferrites. The Fourier transform infrared spectra exhibits an absorption band at 550 cm − 1 , which is attributed to metal-oxygen bond vibrations at tetrahedral sites. The thermogravimetric analysis revealed the instability of MnFe 2 O 4 and Fe 3 O 4 above 500 ◦ C whereas CoFe 2 O 4 is found to be the most stable ferrite. The hysteresis parameters demonstrate the superparamagnetic nature of the prepared nanoparticles with low coercivity except for CoFe 2 O 4 . The direct optical band gap energy derived from UV-visible spectra is calculated to be 2.82, 2.83, 2.81, and 2.44 eV for M=Co, Zn, Fe, and Mn respectively. The magnetic and optical properties show a strong dependence on cation site occupancy.