Miracle-dz/UniFAR-FTUs huggingface dataset:
Seismic Response Characteristics of RCC Dams Considering Fluid-Structure Interaction of Dam-Reservoir System

In analysis of different types of dams, i.e. arch, gravity, rockfill and Roller Compacted Concrete (RCC) dams, the effect of hydrodynamic water pressure as an effective factor must seriously be taken into consideration. In present study, the hydrodynamic effect is precisely deliberated in RCC dams and compared to hydrostatic pressure effect. For this purpose, Kinta RCC dam in Malaysia is selected and 2D finite element (FE) model of the dam is performed. The Lagrangian approach is used to solve the dam-reservoir interaction, fluid–structure interaction (FSI), and in order to evaluate the crack pattern, Concrete Damaged Plasticity (CDP) model is implemented. Comparisons show that hydrodynamic pressure significantly changes the dam behaviour under seismic excitations. Moreover, the hydrodynamic effect modifies the deformation shape of the dam during the ground motions, however, it increases the magnitudes of the developed stresses causing more extensive tension crack damages mostly in the heel and upstream zones of the dam.
Particle coating with composite shell in a pan granulator

Abstract In this study, the coating of urea granules with a composite shell was performed in a laboratory-scale pan granulator. The composite shell of coated particles consisted of a filler and a binder. Aqueous solutions of sodium silicate, methylcellulose, and polyacrylamide were used as the binders. Powdery calcium carbonate was used as the filler. The influence of the pan rotation speed, the pan-tilt angle, and the binder type on coating performance and the product properties was investigated. The pan rotation speed varied in the range from 30–70 rpm and the pan-tilt was changed from 30° to 75°. The relative shell mass, crushing strength, moisture content of the coated particles, and particle size distribution (PSD) were determined. A mathematical model was developed based on the population balance equation with the main purpose of predicting PSD. Particles’ weight gain was assumed to be proportional to the ratio of the surface area of the given size particles and the surface area of all particles in the coater. A comparison of calculated and experimental cumulative distributions of particle size was performed. Good agreement was observed between the modeling and the measurements.
Funds of Knowledge, Community Cultural Wealth, and the Forms of Capital: Strengths, Tensions, and Practical Considerations

Funds of Knowledge (FK), Community Cultural Wealth (CCW), and Bourdieu’s analysis of capital (BAC) have each been applied in powerful ways to address complex issues of urban education; however, the overlaps and tensions between them have been largely underexplored. When brought together, these three economic metaphors—funds, wealth, capital—surface divergences and tensions that foreground questions of educational praxis and social justice. We argue the quest for social justice requires an approach that both validates and substantively utilizes learners’ FK and CCW and critically grapples with the pervasive logic of capital that has been impressed in the fabric of our educational system.
Interference Mitigation by Adaptive Analog Spatial Filtering for MIMO Receivers

Exposed to strong cochannel/adjacent-channel interference, digital multiple-input–multiple-output (MIMO) receivers require high-dynamic-range analog-to-digital converters (ADCs). Hybrid beamforming featuring spatial filtering before the ADCs can adaptively mitigate interference in both the analog and digital domains; hence relaxing the required dynamic ranges of the ADCs. This article demonstrates the effectiveness of hybrid beamforming in this mitigation utilizing adaptive minimum mean square error (MMSE) and error vector magnitude (EVM) as an optimization criterion. Extensive EVM measurements are carried out with a conductive setup using a four-element 22-nm FD-SOI CMOS prototype MIMO receiver chip to verify the performance of the adaptive MMSE algorithm. Over-the-air (OTA) measurements with a linear four-element dipole antenna array with half-wavelength spacing in the 2.4-GHz industrial scientific and medical (ISM) band quantify the improvement for real-world scenarios, e.g., having a multipath propagation channel and mutual coupling between the antenna array elements. OTA results show that a rejection of 22.5 and 24.5 dB can be achieved on average in an in-door laboratory environment utilizing vector modulator (VM) constellations with 16 and 64 points, respectively.
Masked Face Recognition Algorithm for a Contactless Distribution Cabinet

A contactless delivery cabinet is an important courier self-pickup device, for the reason that COVID-19 can be transmitted by human contact During the pandemic period of COVID-19, wearing a mask to take delivery is a common application scenario, which makes the study of masked face recognition algorithm greatly significant A masked face recognition algorithm based on attention mechanism is proposed in this paper in order to improve the recognition rate of masked face images First, the masked face image is separated by the local constrained dictionary learning method, and the face image part is separated Then, the dilated convolution is used to reduce the resolution reduction in the subsampling process Finally, according to the important feature information of the face image, the attention mechanism neural network is used to reduce the information loss in the subsampling process and improve the face recognition rate In the experimental part, the RMFRD and SMFRD databases of Wuhan University were selected to compare the recognition rate The experimental results show that the proposed algorithm has a better recognition rate [ABSTRACT FROM AUTHOR] Copyright of Mathematical Problems in Engineering is the property of Hindawi Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission However, users may print, download, or email articles for individual use This abstract may be abridged No warranty is given about the accuracy of the copy Users should refer to the original published version of the material for the full abstract (Copyright applies to all Abstracts )
A Self-Optimizing Technique Based on Vertical Handover for Load Balancing in Heterogeneous Wireless Networks Using Big Data Analytics

With the heterogeneity and collaboration of many wireless operators (2G/3G/4G/5G/Wi-Fi), the priority is to effectively manage shared radio resources and ensure transparent user movement, which includes mechanisms such as mobility support, handover, quality of service (QoS), security and pricing. This requires considering the transition from the current mobile network architecture to a new paradigm based on collecting and storing information in big data for further analysis and decision making. For this reason, the management of big data analytics-driven networks in a cloud environment is an urgent issue, as the growth of its volume is becoming a challenge for today’s mobile infrastructure. Thus, we have formalized the problem of access network selection to improve the quality of mobile services through the efficient use of heterogeneous wireless network resources and optimal horizontal–vertical handover procedures. We proposed a method for adaptive selection of a wireless access node in a heterogeneous environment. A structural diagram of the optimization stages for wireless heterogeneous networks was developed, making it possible to improve the efficiency of their functioning. A model for studying the processes of functioning of a heterogeneous network environment is proposed. This model uses the methodology of big data evaluation to perform data transmission monitoring, analysis of tasks generated by network users, and statistical output of vertical handover initiation in (2G/3G/4G/5G/Wi-Fi) mobile communication infrastructure. The model allows studying the issues of optimization of operators’ networks by implementing the algorithm of redistribution of its network resources and providing flexible load balancing with QoS users in mind. The effectiveness of the proposed solutions is evaluated, and the performance of the heterogeneous network is increased by 16% when using the method of static reservation of network resources, compared to homogeneous networks, and another 13% when using a uniform distribution of resources and a dynamic process of their reservation, as well as compared to the previous method. An appropriate self-optimizing technique based on vertical handover for load balancing in heterogeneous wireless networks, using big data analytics, improves the QoS for users.
A Bayesian Geo-Additive Modeling of Childhood Anemia in India

Background The geographical differences that caused anaemia can be partially explained by the variability in environmental factors, particularly nutrition and infections. The studies failed to explain the non-linear effect of the continuous covariates on childhood anaemia. The present paper aimed to investigate the risk factors of childhood anaemia in India with focus on geographical spatial effect. Methods Geo-additive logistic regression models were fitted to the data to understand fixed as well as spatial effects of childhood anaemia. Logistic regression was fitted for the categorical variable with outcomes (anaemia (Hb < 11) and no anaemia (Hb ≥ 11)). Continuous covariates were modelled by the penalized spline and spatial effects were smoothed by the two-dimensional spline. Results At 95% posterior credible interval, the influence of unobserved factors on childhood anaemia is very strong in the Northern and Central part of India. However, most of the states in North Eastern part of India showed negative spatial effects. A U-shape non-linear relationship was observed between childhood anaemia and mother’s age. This indicates that mothers of young and old ages are more likely to have children who are anaemic; in particular mothers aged 15 years to about 25 years. Then the risk of childhood anaemia starts declining after the age of 25 years and it continues till the age of around 37 years, thereafter again starts increasing. Further, the non-linear effects of duration of breastfeeding on childhood anaemia show that the risk of childhood anaemia decreases till 29 months thereafter increases. Conclusion Strong evidence of residual spatial effect to childhood anaemia in India. Government child health programme should gear up in treating childhood anaemia by focusing on known measurable factors such as mother’s education, mother’s anaemia status, family wealth status, child fever, stunting, underweight, and wasting which have been found to be significant in this study, attention should also be given to effects of unknown or unmeasured factors to childhood anaemia at the community level. Special attention to these unmeasurable factors should be focused in the states of central and northern India which have shown significant positive spatial effects.
Helminthofauna of Three Wild Achatina Species from a Rural Community of South Eastern Nigeria: A Potential Public Health Problem

A total of 405 land snails were collected by hand picking from the study area between November 2018 and August 2019. The snails were morphologically identified using standard procedures. Shannon Weiner index was used to determine the distribution of the snail species during sampling. Light and teasing methods were used to isolate some of the parasites from the snails. The snails were dissected and different parts of the viscera were examined for parasites, using standard parasitological techniques. The isolated parasites were identified using parasitological guides. Achatina achatina was the most abundant snail species while A. marginata was the least abundant. Greater numbers of snails were collected in the wet season than in the dry season, with no observed complete dominance of any of the species. In the dry season, A. fulica was infected by almost all the parasites, with an overall highest prevalence of 32.69%. More snails were infected in wet season in comparison with the dry season, with higher prevalence of (46.91%vs 32.69%). There was co-infection of the snails with at least two of the parasite species. In both wet and dry seasons, A. marginata had an overall least infection prevalence of 11.77% and 4.55% respectively while A. Fulica was infected most with prevalence of (46.91%vs 32.69%). Proper cooking of snails, proper washing of vegetables, public health education and provision of good toilet facilities are recommended for control of snail-borne parasites especially the zoonotic ones. Original Research Article Elom and Okpara-Elom; AJOB, 12(1): 20-27, 2021; Article no.AJOB. 68476 21
The underestimated incidence of an orbital angioleiomyoma is possibly associated with an orbital cavernous hemangioma: illustrative case

BACKGROUND Orbital angioleiomyoma is generally considered a rare tumor; approximately 40 cases have been reported. However, after their experience with 6 consecutive cases in their single institution during 3 years, the authors speculate that the incidence of orbital angioleiomyomas is possibly underestimated. OBSERVATIONS A 34-year-old female presented with progressive exophthalmos of 2 years’ duration. Orbital computed tomography and magnetic resonance imaging revealed a well-circumscribed orbital tumor with partial and heterogeneous gadolinium enhancement. Technetium-99m red blood cell single-photon emission computed tomography showed positive perfusion in the late blood-pool phase, which was exactly consistent with the finding of a cavernous hemangioma. Under the impression of a cavernous hemangioma, the authors accessed the mass with an endoscopic endonasal approach and completely removed it without neurological deficit. Pathological examination revealed that the final diagnosis was an angioleiomyoma with positive immunostaining results for smooth muscle actin (SMA). LESSONS The incidence of orbital angioleiomyomas may not be very low, as these lesions have possibly been misdiagnosed as orbital cavernous hemangiomas because of their histological similarity. Preoperative presumption and differentiation from cavernous hemangiomas are very challenging because of the rarity of orbital angioleiomyoma and similar radiological findings. SMA immunostaining may be critical to differentiate orbital angioleiomyomas from cavernous hemangiomas.
A Neural Joint Model with BERT for Burmese Syllable Segmentation, Word Segmentation, and POS Tagging

The smallest semantic unit of the Burmese language is called the syllable. In the present study, it is intended to propose the first neural joint learning model for Burmese syllable segmentation, word segmentation, and part-of-speech (POS) tagging with the BERT. The proposed model alleviates the error propagation problem of the syllable segmentation. More specifically, it extends the neural joint model for Vietnamese word segmentation, POS tagging, and dependency parsing [28] with the pre-training method of the Burmese character, syllable, and word embedding with BiLSTM-CRF-based neural layers. In order to evaluate the performance of the proposed model, experiments are carried out on Burmese benchmark datasets, and we fine-tune the model of multilingual BERT. Obtained results show that the proposed joint model can result in an excellent performance.
Designing cognitive-based game mechanisms for mobile educational games to promote cognitive thinking: an analysis of flow state and game-based learning behavioral patterns

ABSTRACT This study proposed a cognitive-based game mechanism based on the revised Bloom's taxonomy of cognitive processing dimensions. Moreover, a mobile Chinese history educational game, Void Broken: The Qing Dynasty, was developed based on the cognitive-based game mechanism to promote learners’ cognitive thinking in history learning. This empirical study conducted an experiment with a quasi-experiment design and the participants were 70 high school freshmen from northern Taiwan, who were selected by convenience sampling. The present study analyzed the participants’ historical knowledge gains and flow state. This study proposed an operational behavior coding scheme to analyze learning behaviors and evaluate the proposed cognitive-based game mechanism design and conducted sequential analyses to explore their learning behavioral patterns and their collaborative problem solving (CPS) behaviors in the game-based learning (GBL) process. The results suggested that the mechanism helped learners’ historical knowledge gains, flow, and CPS behaviors. The high flow groups showed more multifaceted and active problem-solving behavioral patterns than the low flow groups. We suggest educational game designers consider including the cognitive-based game mechanism and flow antecedents into their game designs.
Involvement of subventricular zone shortened the survival of pediatric glioblastoma

PURPOSE Glioblastoma involved with subventricular zone (SVZ) predicted a worse outcome in adult, but we know less about it based on children population due to the rarity of pediatric glioblastoma (pGBM). We performed this study to probe into the clinical and prognostic features of glioblastoma involved with SVZ in children. METHODS We selected thirty-one patients diagnosed with pediatric supratentorial glioblastoma at our department between January 2015 and January 2020. Clinical data and prognostic results were reviewed retrospectively. RESULTS Involvement of SVZ was associated with larger tumor volume (p = 0.007), lower edema index (EI) (p = 0.010), passive adjuvant therapy (p = 0.029), worse progression-free survival (PFS) (p = 0.001) and overall survival (OS) (p < 0.001), it didn’t correlate to age, sex, preoperative KPS, extent of resection (EOR), tumor side, Ki-67, expression of P53 and ATRX and mutation of IDH1 and IDH2 genes. Independent of EOR and adjuvant therapies, involvement of SVZ was a prognostic factor of PFS and OS in pGBM. CONCLUSION Involvement of SVZ was an independent prognostic factor of PFS and OS in pGBM, and it associated with large volume, mild edema and passive adjuvant therapy. More research should be developed to optimize the treatment strategy of pGBM involved with SVZ.
Traffic Sign Detection and Recognition Based on Improved YOLOv4 Algorithm

Traffic sign detection and recognition play an important role in intelligent transportation. In this paper, a traffic sign detection framework based on YOLOv4 is proposed. The original CSPDarkNet53 backbone network model is replaced by RepVGG, and the SPP module is added in the feature pyramid part to improve the expression ability of information. The CCTSDB traffic sign data set is used to detect three categories of indication signs, prohibition signs and warning signs. In order to further improve the performance of YOLOv4 network, K-means++ algorithm was used to perform cluster analysis on the experimental data to determine the size of the priori box suitable for CCTSDB dataset. The experimental results show that the map value of the improved framework is increased by 4.1%, which indicates that the improved YOLOv4 network has a high practical value in traffic sign detection and recognition.
Ultrasound-guided navigation of a magnetic microrobot using acoustic phase analysis

Microrobots (MRs) have attracted significant interest for their potentialities in diagnosis and non-invasive intervention in hard-to-reach body areas. Fine control of biomedical MRs requires real-time feedback on their position and configuration. Ultrasound (US) imaging stands as a mature and advantageous technology for MRs tracking, but it suffers from disturbances due to low contrast resolution. To overcome these limitations and make US imaging suitable for closed-loop MR control, we propose a US contrast enhancement mechanism for MR visualization in heterogeneous and dynamic backgrounds (e.g., tissue). Our technique exploits the specific acoustic phase modulation produced by the MR characteristic motions. By applying this principle, we performed real-time visualization and position tracking of a magnetic MR rolling on a lumen boundary, both in static flow and opposing flow conditions, with an average error of 0.25 body-lengths. Overall, the reported results unveil countless possibilities to exploit the proposed approach as a robust feedback strategy for closed-loop control of medical MRs in-vivo.
Coping with emotionally challenging expectations: Japanese beginning teachers and their relationships with students’ parents’

ABSTRACT This article examines emotionally challenging expectations in the relationships beginning teachers have with students’ parents. The data consist of narrative interviews with 17 Japanese beginning teachers. Due to strong cultural and social norms prescribing appropriate social interactions, Japanese teachers have little leeway in negotiating parents’ expectations. We found that beginning teachers described facing three emotionally challenging expectations in their relationships with students’ parents: 1) they do not fully understand what is expected of them; 2) they are expected to turn to colleagues for help with difficult issues involving parents; and 3) they are expected to endure and learn from criticism. To cope with these emotionally challenging expectations, beginning teachers perform emotional labour. The article presents a wider understanding of teachers’ work as a relational practice and offers insights that can be used to move beyond the discourse that frames beginning teachers from a ‘deficit’ perspective.
Novel mixtures of Italian ryegrass and winter cereals: influence of ensiling on nutritional composition, fermentation characteristics, microbial counts and ruminal degradability

Abstract The study was conducted with the objective of evaluating the nutrient content, fermentation characteristics, microbial counts, and ruminal degradability of two mixtures of Italian ryegrass (Lolium multiflorum Lam.) and winter cereal silages. Two mixtures (mixture A: Italian ryegrass, triticale, oats, wheat and barley; and mixture B: Italian ryegrass and oats) were wilted and ensiled in laboratory‐scale silos without additives. At the end of 90 d fermentation mixture B silage had higher (p < .05) dry matter (DM), ether extract (EE), crude fibre (CF), neutral detergent fibre (NDF) and acid detergent fibre (ADF) contents than mixture A silage. The pH value of mixture B was higher (p < .05) than mixture A silage. Mixture A had higher lactate, acetate and ethanol contents than mixture B. However, mixture B had higher NH3-N (day 14) than mixture A silage. The mould and yeast count (Log10 CFU g−1) was higher (p < .05) for mixture A than mixture B at opening day 7. The in situ incubation revealed that potentially degradable fraction (b) of DM, CP and NDF was 39.41%, 43.59%, 80.23% (mixture A) and 39.16%, 32.39%, 94.35% (mixture B). The effective protein degradability (EPD) at 0.08 rumen outflow rates was 67.26% (mixture A) and 67.19% (mixture B). These results suggest that with the proper stage of harvesting, Italian ryegrass and winter cereal mixtures were fermented well. This kind of mixtures can be ensiled without additives in the future. The high potentially degradable NDF and effective protein degradability implies that this mixture could be included successfully in high-yielding dairy cattle diets. Highlights Italian ryegrass and winter cereal mixtures are well preserved without additives and it saves the cost of additives for dairy farmers. The ensiled mixtures have high potentially degradable NDF and effective protein degradability, which improve dry matter intake, milk production and increase the net return of farm. The mixture forage can be double-cropped with corn for silage making, which can have both environmental and economic benefits if the ensiled mixture yields are enough to cover expenses.