Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of Dietary Phytogenic Composite Feed Additives on Immune Response, Antioxidant Status, Methane Production, Growth Performance and Nutrient Utilization of Buffalo (Bubalus bubalis) Calves

The focus on the bioactive effects of plants concerns mainly ruminal microflora for the modulation of rumen fermentation with very little emphasis placed on their consequences on health parameters, including antioxidative and immune stimulating effects. The aim of the present study was to examine the effects of supplementing phytogenic feed additives composed of a mixture of eucalyptus (Eucalyptus citriodora) and poplar (Populus deltoides) leaf-meal (EPLM) on immune response, antioxidant status, metabolic profile, enteric methane production, growth performance, and nutrient utilization in buffalo (Bubalus bubalis) calves. In vitro studies with graded doses of EPLM extract revealed a reduction in total gas and methane production with an increased proportion of propionate without affecting feed degradability. In the in vivo experimentation, eighteen female buffalo calves (10–14 months old, avg. body weight 131.68 ± 7.50 kg) were divided into three groups (CONT, EPLM-1, and EPLM-2) of six each in a completely randomized design. Treatment groups were supplemented with a blend (1:1) of dry grounded eucalyptus (Eucalyptus citriodora) and poplar (Populus deltoids) leaves (50 g, EPLM-1; 150 g, EPLM-2). Feed intake and growth rate of buffalo calves fed on different feeding regimens did not differ (p > 0.05). Haemato-biochemical parameters reveal no variations (p > 0.05) among groups, irrespective of period of collection, except the concentration of blood urea, which was decreased (p < 0.05) in both treatment groups as compared to the control. The levels of reduced glutathione (GSH), catalase (CAT), and superoxide dismutase (SOD) increased (p < 0.05) in EPLM supplemented animals as compared to CONT. The extent of lipid peroxidation (LPO) was reduced (p < 0.05) with increased level of EPLM in the diet. The total thiol group (T-SH) was also increased with the supplementation of leaves in the diet. The mean absolute values for skin thickness following the intra-dermal injection of PHA-P were increased (p < 0.05) in all the supplemented animals relative to CONT. However, there was no significant difference among the calves fed graded levels of these feed additives in the diet. The Ab titer against Pasteurella multocida vaccine was higher (p < 0.05) on both day 45 and 90 in both treatments, irrespective of the level of additive supplemented. The enteric methane production was reduced in EPLM supplemented buffaloes; however, digestibility of all the nutrients remained comparable (p > 0.05) among the animals. It may be concluded that blends of eucalyptus (Eucalyptus citriodora) and poplar (Populus deltoides) leaf-meal (50 g/h/d) containing 3.19 g, 2.30 g, and 0.71 g of total phenolics, tannin phenolics, and condensed tannins, respectively, can be used as the phytogenic feed additive for improving antioxidant status and immunity of buffalo calves, and mitigating enteric methane production without affecting performance and nutrient utilization.
Investigating the Emotional Response to COVID-19 News on Twitter: A Topic Modelling and Emotion Classification Approach

Media has played an important role in public information on COVID-19. But distressing news, e.g., COVID-19 death tolls, may trigger negative emotions in public, discouraging them from following the news, which, in turn, can limit the effectiveness of the media. To understand people’s emotional response to the COVID-19 news, we have investigated the prevalence of basic human emotions in around 19 million user responses to 1.7 million COVID-19 news posts on Twitter from (English-speaking) media across 12 countries from January 2020 to April 2021. We have used Latent Dirichlet Allocation (LDA) to identify news themes on Twitter. Also, the Robustly Optimized BERT Pretraining Approach (RoBERTa) model was used to identify emotions in the tweets. Our analysis of the Twitter data revealed that anger was the most prevalent emotion in user responses to the news coverage of COVID-19. That was followed by sadness, optimism, and joy, steadily over the period of the study. The prevalence of anger (in user responses) was higher for the news about authorities and politics while optimism and joy were more prevalent for the news about vaccination and educational impacts of COVID-19 respectively. The prevalence of sadness in user responses, however, was the highest for the news about COVID-19 cases and deaths and the impacts on the families, mental health, jails, and nursing homes. We also observed a higher level of anger in the user responses to the (COVID-19) news posted by the USA media accounts (e.g., CNN Politics, Fox News, MSNBC). Optimism, on the other hand, was found to be the highest for Filipino media accounts.
Tools and processes to support the development of a national platform for urban research: lessons (being) learnt from the AURIN project

The development of large-scale software systems remains a non-trivial endeavour. This is especially so when the software systems comprise services and resources coming from multiple distributed software groups, and where they are required to interoperate with heterogeneous, independent (and autonomous) distributed data providers. The use of software development and management tools to support this process is highly desirable. In this paper we focus on the software development and management systems that have been adopted within the national Australian Urban Research Infrastructure Network (AURIN - www.aurin.org.au) project. AURIN is tasked with developing a software platform to support research into the urban and built environment - a domain with many diverse software system and data needs. In particular, given that AURIN is tasked with integrating a large portfolio of sub-projects offering both software and data that needs to be integrated, deployed and managed by a core team at the University of Melbourne, we illustrate how tooling and support processes are used to manage the software development lifecycle and code/data integration from the distributed teams and data providers that are involved. Results from the project demonstrating the ongoing status are presented.
An ultrahigh‐energy density and wide potential window aqueous electrolyte supercapacitor built by polypyrrole/aniline 2‐sulfonic acid modified carbon felt electrode

In this study, excellent performance and wide operating voltage are obtained with an aqueous electrolyte. Aqueous electrolytes are attracted more attention than other electrolytes (such as organic solvents, ionic liquids) in supercapacitor applications because of their safety, low cost, nontoxicity. Polypyrrole (PPy), aniline 2‐sulfonic acid (ASA) modified electrodes are hydrothermal synthesized on carbon felt (CFt) for supercapacitor applications. We investigate the presence of the concentration of ASA on the polymerization of the PPy. Furthermore, a high operating voltage of 3.0 V asymmetric supercapacitor (ASC) with graphite plate is assembled 3 M KCI. CFt/PPy/ASA(0.02)//GP exhibits a high specific capacitance value of 902.9 F g−1 at 5 mV s−1 and after 5000 cycle‐life testing 93.6% capacitance retention at a scan rate of 1000 mV s−1. The assembled ASC has an ultrahigh‐energy density of 1005 Wh kg−1 while delivering a power density of 3000 W kg−1 at a current density of 2 A g−1. The effect of ASA concentration on the supercapacitor performance has been observed.
PAs Regulate Early Somatic Embryo Development by Changing the Gene Expression Level and the Hormonal Balance in Dimocarpus longan Lour.

Polyamines (PAs) play an important regulatory role in many basic cellular processes and physiological and biochemical processes. However, there are few studies on the identification of PA biosynthesis and metabolism family members and the role of PAs in the transition of plant embryogenic calli (EC) into globular embryos (GE), especially in perennial woody plants. We identified 20 genes involved in PA biosynthesis and metabolism from the third-generation genome of longan (Dimocarpus longan Lour.). There were no significant differences between longan and other species regarding the number of members, and they had high similarity with Citrus sinensis. Light, plant hormones and a variety of stress cis-acting elements were found in these family members. The biosynthesis and metabolism of PAs in longan were mainly completed by DlADC2, DlSAMDC2, DlSAMDC3, DlSPDS1A, DlSPMS, DlCuAOB, DlCuAO3A, DlPAO2 and DlPAO4B. In addition, 0.01 mmol∙L−1 1-aminocyclopropane-1-carboxylic acid (ACC), putrescine (Put) and spermine (Spm), could promote the transformation of EC into GE, and Spm treatment had the best effect, while 0.01 mmol∙L−1 D-arginine (D-arg) treatment inhibited the process. The period between the 9th and 11th days was key for the transformation of EC into GE in longan. There were higher levels of gibberellin (GA), salicylic acid (SA) and abscisic acid (ABA) and lower levels of indole-3-acetic acid (IAA), ethylene and hydrogen peroxide (H2O2) in this key period. The expression levels in this period of DlADC2, DlODC, DlSPDS1A, DlCuAOB and DlPAO4B were upregulated, while those of DlSAMDC2 and DlSPMS were downregulated. These results showed that the exogenous ACC, D-arg and PAs could regulate the transformation of EC into GE in longan by changing the content of endogenous hormones and the expression levels of PA biosynthesis and metabolism genes. This study provided a foundation for further determining the physicochemical properties and molecular evolution characteristics of the PA biosynthesis and metabolism gene families, and explored the mechanism of PAs and ethylene for regulating the transformation of plant EC into GE.
Does Place Matter? The Effects of Concentrated Poverty on the Computer Use of Elementary Students

Abstract For several decades, scholars have investigated technological inequality within American society. These studies have focused on individual-level predictors of computer use such as income, education, and technological skills. Although these individual-level inequities are important contributors of technological inequalities, they neglect the importance of place, including neighborhood-level factors such as median income, racial composition, and educational attainment. The purpose of this study is to address this gap in the current literature by examining neighborhood-level effects of concentrated poverty on the trajectory of computer use (the change in computer use over a one-year period). Data were collected from fourth and fifth grade classrooms from two data points in a public school district in a mid-sized city in the southeastern United States. Results indicate that measures of concentrated poverty have an influence on the trajectory of computer use among elementary students. These findings suggest that social inequalities at the neighborhood level need to be addressed to further eliminate the digital divide in computer use among elementary students.
Evaluation of the Ocular Surface and Meibomian Gland in Obstructive Sleep Apnea Hypopnea Syndrome

Purpose To assess the ocular surface and meibomian gland (MG) of patients with obstructive sleep apnea hypopnea syndrome (OSAHS) and to explore the effects of surgery for OSAHS on the ocular surface and MG. Methods Based on the apnea hypopnea index (AHI), 21 patients with mild OSAHS (Group A, 5/h ≤ AHI < 15/h), 20 patients with moderate OSAHS (Group B, 15/h ≤ AHI < 30/h), 62 patients with severe OSAHS (Group C, AHI ≥ 30/h) were examined. The ocular surface and MG were evaluated using Keratograph 5M. In addition, detailed Ophthalmic examination including visual acuity, refraction, slit-lamp examination of the anterior segment, corneal fluorescein staining (CFS), ocular surface disease index (OSDI) scoring, Schirmer I test (SIT) and serum lipid measurement was performed. For OSAHS patients with dry eye syndrome (DES) who underwent uvulopalatopharyngoplasty for improving AHI, the conditions of the ocular surface and MG were compared before surgery and 3 months after surgery. Only the data of the right eyes were analyzed. Results There were no significantly different in the OSDI score, tear meniscus height (TMH), or loss ratio of the lower eyelid (LRLE) among these groups. The first non-invasive tear film breakup time (fNIBUT), average non-invasive tear film breakup time (avNIBUT), bulbar redness index (BRI), lipid layer grading (LLG), CFS, plugged orifices and distortion in MG, the loss ratio of upper eyelid (LRUE), and the incidence of DES, floppy eyelid syndrome (FES) and meibomian gland dysfunction (MGD) showed significant differences between Groups A and C (p = 0.015, p = 0.018, p < 0.001, p = 0.022, p = 0.036, p = 0.007, p = 0.019, p = 0.017, p = 0.045, p = 0.013, and p = 0.029, respectively). The SIT in the Group A was significantly higher than in Group B (p = 0.025) and in Group C (p < 0.001). In the correlation analyses, the fNIBUT, avNIBUT, SIT and LLG had negative correlations with the AHI (p = 0.013, p = 0.010, p = 0.003, p < 0.001, and p = 0.006, respectively). The BRI, CFS and LRUE were positively correlated with the AHI (p = 0.006, p = 0.007, and p = 0.046, respectively). Three months after surgery, there were no significant differences in the ocular surface or MG. Conclusion Patients with severe OSAHS have poor stability of tear film and are prone to lipid-deficient dry eye as a result of the loss of meibomian gland. By improving the AHI, the ocular surface damage of OSAHS patients cannot be reversed in a short time.
Conceptualising information and equipment technology adoption in construction

Purpose – The purpose of this paper is to present a critical review of research in information and equipment technology adoption in the construction industry. The study also aims to formulate a conceptual framework of the different stages in the adoption process identify gaps in the existing literature and to provide a holistic picture of contemporary research in technology adoption in construction research literature. Design/methodology/approach – A generic framework is initially proposed containing the fundamental concepts of “pre-adoption”, “adoption” and “post-adoption”. The review separates the literature according to three key perspectives: “socio-economic”; “managerial”; and “psychological”. The applicability of the existing approaches to the construction context is discussed, and then a new conceptual framework for construction is developed. Findings – Significant gaps in the understanding of construction technology adoption are identified that provide an interesting agenda for future research. A .
Chaperone Therapy in Fabry Disease

Fabry disease is an X-linked lysosomal multisystem storage disorder induced by a mutation in the alpha-galactosidase A (GLA) gene. Reduced activity or deficiency of alpha-galactosidase A (AGAL) leads to escalating storage of intracellular globotriaosylceramide (GL-3) in numerous organs, including the kidneys, heart and nerve system. The established treatment for 20 years is intravenous enzyme replacement therapy. Lately, oral chaperone therapy was introduced and is a therapeutic alternative in patients with amenable mutations. Early starting of therapy is essential for long-term improvement. This review describes chaperone therapy in Fabry disease.
Fault Diagnosis of Rotating Machinery Using Kernel Neighborhood Preserving Embedding and a Modified Sparse Bayesian Classification Model

Fault diagnosis of rotating machinery plays an important role in modern industrial machines. In this paper, a modified sparse Bayesian classification model (i.e., Standard_SBC) is utilized to construct the fault diagnosis system of rotating machinery. The features are extracted and adopted as the input of the SBC-based fault diagnosis system, and the kernel neighborhood preserving embedding (KNPE) is proposed to fuse the features. The effectiveness of the fault diagnosis system of rotating machinery based on KNPE and Standard_SBC is validated by utilizing two case studies: rolling bearing fault diagnosis and rotating shaft fault diagnosis. Experimental results show that base on the proposed KNPE, the feature fusion method shows superior performance. The accuracy of case1 and case2 is improved from 93.96% to 99.92% and 98.67% to 99.64%, respectively. To further prove the superiority of the KNPE feature fusion method, the kernel principal component analysis (KPCA) and relevance vector machine (RVM) are utilized, respectively. This study lays the foundation for the feature fusion and fault diagnosis of rotating machinery.
Weddell Sea polynya analysis using SMOS–SMAP apparent sea ice thickness retrieval

Abstract. The Weddell Sea is known to feature large openings in its winter sea ice field, otherwise known as open-ocean polynyas. An area within the Weddell Sea region that has repeatedly featured open-ocean polynyas in the past is that which encompasses the Maud Rise seamount. Within this area, after 40 years of intermittent, smaller openings, a larger, more persistent polynya appeared in early September 2017​​​​​​​ and remained open for approximately 80 d until spring ice melt. In this study we present proof that polynya-favorable activity in the Maud Rise area is taking place more frequently and on a larger scale than previously assumed. By investigating thin (< 50 cm) apparent sea ice thickness (ASIT) retrieved from the satellite microwave sensors Soil Moisture and Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP), we find an anomaly of thin sea ice spanning an area comparable to the polynya of 2017 over Maud Rise which occurred in September 2018. In this paper, we look at sea ice above Maud Rise in August and September of 2017 and 2018 as well as all years from 2010 until 2020 in an 11-year time series. Using fifth-generation ECMWF Reanalysis (ERA5) surface wind reanalysis data, we corroborate previous findings (e.g., Campbell et al., 2019; Francis et al., 2019; Wilson et al., 2019) on the strong impact that storm activity can have on sea ice above Maud Rise and help consolidate the theory that the evolution of the Weddell Sea polynya is controlled by local atmospheric as well as oceanographic variability. Based on the results presented, we propose that the Weddell Sea polynya, rather than being a binary phenomenon with one principal cause, is a dynamic process caused by various different preconditioning factors that must occur simultaneously for it to appear and persist. Moreover, we show that rather than an abrupt stop to anomalous activity above Maud Rise in 2017, the very next year shows signs of polynya-favorable activity that, although insufficient to open the polynya, were present in the region. This phenomenon, as we have shown in the 11-year SMOS record, was not unique to 2018 and was also identified in 2010, 2013 and 2014. It is demonstrated that L-band microwave radiometry from the SMOS and SMAP satellites can provide additional useful information, which helps to better understand dynamic sea ice processes like polynya events when compared to the use of satellite sea ice concentration products alone.
A Discussion of Coal Seam Gas in Australia’s Hunter Valley Wine Tourism Region

This paper examines views about the restructuring of rural industries that are based on natural resources. It explores local community stakeholders and visitors perceptions of coal seam gas (CSG). It considers how these subjectivities associated with traditional agriculture, forestry, mining and tourism activities are construed as stable contributors not only to rural economies, but also to the development of local economies. This paper also demonstrates how this type of analysis can be used to understand individual residents and visitors decisions to support or reject CSG proposals and their potential impacts on tourism, recreation and leisure.
'Don’t rock the boat' - learning career and organisational rules through cliché

Presenting evidence from empirical work within a large blue-chip multinational corporation, this paper seeks to demonstrate the ways in which cliché is employed by organisational members and the functions its usage serves. Clichés such as ‘playing the game’, ‘don’t rock the boat’, ‘fit the mould’, ‘no pain no gain’ and ‘better the devil you know’ are analysed. Possessing both instructional and justificatory dimensions, such clichés are shown to actively if covertly convey, reproduce and reinforce career and organisational rules. Cliché, it is argued, is a simple yet potent discursive device through which such codes of conduct can be taught to and learnt by organisational members.
Grasping Performance Analysis of a Biped-pole-climbing Robot

Biped climbing robots have become an important class of climbing robots, where the reliability of pole-grasping with the end grippers is a basic and critical requirement for safe climbing, and the analysis of grasping reliability is a key issue. A biped pole-climbing robot, the Climbot developed is first introduced. The problem of force-closure of grasping with the robot climbing on a round pole is presented and proved. The dynamic loads generated onto the base gripper when the robot climbs in different climbing gaits are analyzed, and the balance models are proposed, respectively, in 2D and 3D cases. Based on these models, the effect of geometric parameters of the gripper on grasping performance is analyzed. The correctness of the models and effectiveness of the corresponding analysis are verified with several grasping experiments. The results are helpful and valuable to gripper design for biped climbing robots and guarantee of grasp reliability.
Robotic Manipulation Planning for Automatic Peeling of Glass Substrate Based on Online Learning Model Predictive Path Integral

Autonomous planning robotic contact-rich manipulation has long been a challenging problem. Automatic peeling of glass substrates of LCD flat panel displays is a typical contact-rich manipulation task, which requires extremely high safe handling through the manipulation process. To this end of peeling glass substrates automatically, the system model is established from data and is used for the online planning of the robot motion in this paper. A simulation environment is designed to pretrain the process model with deep learning-based neural network structure to avoid expensive and time-consuming collection of real-time data. Then, an online learning algorithm is introduced to tune the pretrained model according to the real-time data from the peeling process experiments to cover the uncertainties of the real process. Finally, an Online Learning Model Predictive Path Integral (OL-MPPI) algorithm is proposed for the optimal trajectory planning of the robot. The performance of our algorithm was validated through glass substrate peeling tasks of experiments.