Miracle-dz/UniFAR-FTUs huggingface dataset:
Inferred limitations to the oxidation of Fe in chlorite: A high-temperature single-crystal X-ray study

The crystal structure of a triclinic (C1) Mg and Cr-rich clinochlore-IIb-4 from the Day Book Body, North Carolina, was determined by refinement of single crystal x-ray data at 550°C to R=0.083 and R w =0.084. Cell parameters were refined at 25, 100, 200, 300, 425, 500, and 550°C. The crystal was mounted using a new technique that requires no high temperature cement. Expansion of metric cell dimensions was linear and generally isotropic, in contrast to other phyllosilicates, where c expands more than a and b. Comparison with cell parameter data of other Mg- and Fe-rich chlorites shows that expansivity in the [001] * direction may depend on Fe content
Dynamic Changes in Microbiome Composition and Genomic Functional Potentials in Bovine Mastitis

We provide a mini review on the previously published study entitled “Microbiome Dynamics of Bovine Mastitis Progression and Genomic Determinants”, where we reported the possible dynamic changes in microbiome compositions favored by their genomic functional potentials in different pathophysiological states of bovine mastitis. Using the cutting-edge whole metagenome sequencing (WMS) approach, we reported distinct variation in microbiome composition and abundances across the clinical mastitis (CM), recurrent clinical mastitis (RCM), subclinical mastitis (SCM) and healthy (H) milk metagenomes (CM>H>RCM>SCM). Bacteria were the predominating microbial domain (>99.0% relative abundance) followed by archaea and viruses. Dynamic changes in bacteriome composition across the four metagenomes were numerically dominated by 67.19% inclusion of previously unreported opportunistic strains in mastitis metagenomes. This study also reported the unique and shared distribution of microbiomes across these metagenomes. In addition to microbiome composition and diversity, the study reported the association of several virulence factors-associated genes (VFGs), and antibiotic resistant genes (AGRs) in CM, RCM, SCM, and H-microbiomes. Functional annotation detected several metabolic pathways related to different episodes of mastitis. Therefore, the published data revealed that changes in microbiome composition in different types of mastitis, concurrent assessment of VFGS, ARGs, and genomic functional potentials can contribute to develop microbiome-based diagnostics, and therapeutics for mastitis, and carries significant implications on curtailing the economic fallout from this disease
Semi-Supervised Learning of Disentangled Representations for Cross-Modal Translation

Collecting paired data for supervised learning can be difﬁcult and expensive, impeding the performance and the generalization ability of trained models. In this paper, we propose a semi-supervised learning approach to cross-modal translation tasks that fully exploits extra data from the target domain. To this end, we employ two interacting variational autoencoders (VAEs) to learn a disentangled representation of the source modal. The ﬁrst VAE encodes input samples into two disentan-gled latent spaces, i.e., a task-relevant space and a task-irrelevant space. The task-relevant space is shared by the second VAE that learns to capture the target do-main’s structure. We then propose a training strategy to guarantee the alignment of the shared latent space, which is the key to high-ﬁdelity translation results. We demonstrate the effectiveness of the proposed method on the task of image-to-sketch translation and 3D human pose estimation from RGB images. Experiment re-sults show that the translation quality of the proposed method achieves state-of-the-art.
Flexible Automation and Intelligent Manufacturing , FAIM 2017 , 27-30 June 2017 , Modena , Italy Review of socio-technical considerations to ensure successful implementation of Industry 4 . 0

The paper reviews the Industry 4.0 infrastructure and that beyond the potential cost and efficiency gains from implementation, adoption is argued from the perspective of leveraging internal capabilities to devolve Industry 4.0 as the driver for creating competitive advantage. Industry 4.0 and lean manufacturing methods are presented as mutually supportive, where lean methods are enablers for Industry 4.0 implementation, and conversely, Industry 4.0 realizes the extended lean enterprise. The paper further argues that in addition to appreciating the technical aspects of Industry 4.0, it is necessary to understand the socio-technical requirements to ensure successful implementation. © 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the 27th International Conference on Flexible Automation and Intelligent Manufacturing.
Carbon sequestration and its impact on rice farming economic value: The quasi-experiment

Article history: Received: August 10, 2020 Received in revised format: November 15 2020 Accepted: November 27, 2020 Available online: December 1, 2020 The increasing level of the number of carbon dioxide will raise temperature on the earth and causes global climate changes. Paris agreement has responded global warming by doing mitigation, and Indonesian Government has ratified the suggestion. This research aims to determine the rice cultivation technology system which effectively could absorb the carbon dioxide into the form of biomass and C-organic in the earth. Applying the quasi-experiment by three types of technological systems – and it was conducted in farming area of Sukakarya District, Bekasi Regency, Indonesia – the research proved the T2 (IPAT-TS planting system) – in which it applies a minimum spacing of 30 cm × 30 cm and a maximum of 50 cm × 50 cm, in aerobic soil conditions – yields the highest number of biomass straw, C-Organic, and harvest dry grain and economically gives the highest profit margin. Therefore, the research recommends the adoption of T2 as mass common farming practice especially in entisolic soil types. © 2021 by the authors; licensee Growing Science, Canada
Effects of soil amendments on arsenic and cadmium uptake by rice plants (Oryza sativa L. cv. Koshihikari) under different water management practices

ABSTRACT Concentrations of arsenic (As) and cadmium (Cd) in rice grains are of public concern for human health. We conducted field experiments to investigate the effects of soil amendment applications, combined with different water management practices, on As and Cd uptake by rice plants (Oryza sativa L. cv. Koshihikari). Prolonged flooding, practiced for pre-heading 3 weeks and post-heading 3 weeks, led to elevated As concentrations in the soil solution and rice grain. Rainfed water management, in which no irrigation was practiced after midseason drainage until harvest, led to elevated Cd concentrations in the soil solution and rice grain. Application of short-range-order iron hydroxide (IO) reduced As uptake by rice plants, whereas Cd uptake was reduced by the application of converter furnace slag (CFS). However, it was difficult to simultaneously reduce the As and Cd uptake by a single countermeasure of the water management practice or the soil amendment application. Prolonged flooding combined with the application of IO, or rainfed water management with the application of CFS, were promising measures for the simultaneous reduction of As and Cd uptake by rice plants.
BIT.UA@TREC 2020 Precision Medicine Track

The TREC Precision Medicine and the previous CDS track have produced a variety of approaches on document retrieval to support clinical decisions. To the best of our knowledge, the top-performing approaches always relied on traditional information retrieval solutions, such as BM25 with query expansion, to ﬁnd the biomedical articles relevant to the given topics. Although deep learning solutions have been tried, these struggle to reach the top scores on this particular task. To further explore and assess the eﬀectiveness of deep learning meth-ods in the PM retrieval task, we reformulate this relevance problem of evidence ﬁnding as a question-answering problem, where a query is formulated with the topic information and a neural information retrieval model generates a ranked list of documents. More precisely, we adopted a two-stage retrieval pipeline, where we ﬁrst reduce the searching space using BM25 with gene name expansion and then apply a lightweight neural IR model, with only 620 trainable parameters, that was previously trained and tested on the BioASQ challenge. In terms of overall performance, in phase 1 we achieved the overall best score of 0.5325 nDCG, ten percentage points above the reported median. In phase 2 we achieved a best score of 0.3289 nDCG@30, four percentage points above the reported median. Our source code is available from https://github.com/T-Almeida/TREC-PM-2020 .
Adult learners’ challenges in distance learning: A case study in Universiti Sains Malaysia

This study investigated the challenges experienced by adult learners studying in Universiti Sains Malaysia in Malaysia while remaining active in multiple roles. The research employed a qualitative approach to explore the challenges faced by adult learners studying in distance education. Semi-structured, in-depth interviews were conducted with twelve adult learners. Data were analysed using Nvivo version 12. The findings revealed work commitments to be one of the main challenges experienced by these learners, with work transition emerging as an additional challenge. Other observable challenges included family commitments, adaptation to studying, and the cost of the education. These challenges were found to affect adult learners who had multiple roles, and the challenges subsequently became barriers to learning. The research outcomes offer a realistic insight into the lived experiences of adult learners. Based on the research outcomes, educators and policymakers in distance education should strategise to improve the conduct of distance learning by knowing and fully considering the challenges experienced by their adult students.
Potential of Plants for Fish Disease Prevention

Disease attack is the biggest obstacle in fish farming activities and is very detrimental to cultivators. Disease control is an important factor to be recognized. Various types of antibiotics and chemicals have been used for the treatment and prevention of disease. The use of antibiotics and chemicals in cultivation can cause resistance to pathogenic microorganisms and pollute the environment. The use of herbal ingredients as an alternative to antibiotics and chemical drugs needs to be done. Plants are rich in secondary metabolites and phytochemical compounds that have effects against viruses, bacteria and parasitic diseases in fish. The main advantage of herbal ingredients does not threaten human health, fish and the environment. The purpose of this article is to present information on the treatment and prevention of viral, bacterial and parasitic diseases in fish using medicinal plants. Several studies have shown that medicinal plants can have the potential to treat and prevent fish infected by pathogenic microorganisms.
THE EFFECT OF EMPLOYEE MOTIVATION ON ORGANIZATIONAL PERFORMANCE IN THE BUILDING AND CONSTRUCTION SECTOR IN KENYA: A CASE STUDY OF TILE AND CARPET CENTRE

Human capital management today is adequately managing every facet of talent and labour which requires a detailed examination of all segments of the workforce against every area of operational detail. This study aimed at investigating the effect of employee motivation and organizational performance at Tile and Carpet Centre (T&C) in Kenya. The human resource management theory anchored the variables of the study. The study adopted descriptive research design. The study population was 750 staff working in 3 T&C locations while stratified random sampling technique was used to sample 100 respondents. The pilot testing was conducted using the questionnaire on 10 staff from ICD warehouse, Nairobi County. The measure of reliability was tested using Cronbach’s alpha at 0.7. The study was a descriptive research and primary data was collected using a questionnaire. Frequency distribution tables and figures were used to present the findings where interpretation was done in prose form. The researcher conducted simple regression analysis in order to find out the relationship between employee motivation and organizational performance of T&C. The inferential results on effect of employee motivation on organization performance show R=0.608 indicating a strong positive correlation and R=0.370 and there was a significant effect between employee motivation and organization performance (t=7.232, p<0.05). The study established and provided evidence that the remuneration that employees receive influences their work performance and job enrichment increases job’s range GSJ: Volume 9, Issue 2, February 2021 ISSN 2320-9186 43 GSJ© 2021 www.globalscientificjournal. com and depth and this had positive influence on organizational performance. The study recommends that T&C should take the issue of employee motivation seriously to facilitate effective job delivery and performance. The study revealed that motivation given to employees in an organization has a significant influence on the employee performance.
Variability among Sites and Climate Models Contribute to Uncertain Spruce Growth Projections in Denmark

Projecting trees species growth into future climate is subject to large uncertainties and it is of importance to quantify the different sources (e.g., site, climate model) to prioritize research efforts. This study quantifies and compares sites and climate model-induced uncertainties in projected Norway spruce growth from Denmark. We analyzed tree-rings from 340 Norway spruce trees sampled in 14 planted stands (1. Plantation; period 1950–1987) and additionally 36 trees from six trials in a common garden experiment (2. Common garden; period 1972–2012). Growth-climate correlations were estimated and multiple linear and nonlinear regression models relating growth with climate were tested. Tree growth was projected up to 2100 applying multiple linear or quadratic regression models based on the 15 Atmosphere-Ocean General Circulation Models (AOGCMs) of the Coupled Model Inter-comparison Project Phase 5 (CMIP5). The climate-growth models showed that summer drought and warm previous-year late-summer and early-autumn constrain growth. In some stands, warm springs affected growth positively. The projections of growth under future climates on average showed from no to slightly negative changes in growth compared to present growth rates. However, projections showed a very large variation, ranging from highly positive to highly negative growth changes. The uncertainties due to variation in site responses and in climate models were substantial. A lesser degree of uncertainty was related to the emission scenarios. Even though our projections on average suggest that Norway spruce may experience a growth reduction in the future, the tremendous variation in growth predictions due to differences between stands and climate models calls for further research and caution when projections are interpreted. These results also suggest that forest managers in general should avoid the use of Norway spruce on exposed and drought prone sites and as an additional resilience measure primarily use it in mixtures with other more climate tolerant species.
Parsing the Less-configurational Georgian Language with a Context-Free Grammar

A large part of the methodology for Natural Language Processing has been developed for languages with a strong syntactic configuration. At the other end of the configurational spectrum there are languages with rich derivational and inflectional morphology. These languages for morphologically rich and less-configurational features are referred to as MR&LC . In our study we have addressed Georgian - a language with less-configurational constraints, though, with a rich inflectional morphology and a very little fixed structure on the sentence level, and therefore, the most syntax-level information for the Georgian language is conveyed by its productive morphology. This paper features issues concerned with development of a crucial NLP resource for the Georgian language - a Context-Free Syntactic Parser.
Technology-based interventions for alcohol prevention among children and adolescents

Background. Early onset and excessive alcohol use in childhood and adolescence is associated with an elevated risk of experiencing short-, mid-, and long-term negative consequences caused by, e.g., accidents, violent acts, and conflicts. Face-to-face prevention approaches show significant effects on the reduction of alcohol use. However, service utilization is often low among children and adolescents. Technology-based alcohol prevention has the potential to reach this target group with potentially cost-effective, standardized, and low-threshold measures. Aim and method. This narrative review provides an overview of different approaches of technology-based interventions for the prevention and early intervention of risky alcohol use among children and adolescents, their effectiveness, and settings for implementation. Results. Technology-based alcohol prevention can be implemented in a variety of settings, e.g., school, community, primary care, or hospital. Implementation is often realized via websiteswith or without embedding face-toface modules, apps, or SMS messages. While the cumulative evidence of the effectiveness of technology-based alcohol prevention is strong for adults and young adults, evidence for the effectiveness among children and adolescents is heterogeneous. Discussion. Technology-based alcohol prevention has great theoretical potential with regards to reach, cost-effectiveness, and user engagement. Study replications are needed and evaluations of the effects of single elements, such as the individualization of content, user engagement through multiple contacts, and the use of multimedia elements and functions, should be addressed by future research.
COMPARISON OF LYGUS ELISUS AND LYGUS HESPERUS DAMAGE TO ONE- THIRD GROWN SQUARES OF TEXAS HIGH PLAINS COTTON

The pest status of Lygus on the Texas High Plains is becoming more important. An increase in Bt cotton acreage, several mild winters and some new insecticide technologies are some of the factors that may contribute to increased densities during the cotton production season. The two species of Lygus of economic concern on the Texas High Plains are Lygus hesperus Knight and Lygus elisus Van Duzee (Armstrong, unpublished data). Field and laboratory experiments were conducted to compare the feeding injury and damage potential of L. hesperus with L. elisus to one-third grown cotton squares during the 2001 and 2002 cotton seasons. In the field studies, first position cotton squares from the 6, 9 and 11 nodes were enclosed with both species for 24 hrs. Each infested square was observed for abscission and followed to seed-cotton yield. Laboratory experiments involved enclosing Lygus species on the same position squares as the field-study but conducting it in the laboratory where the anthers were dissected after 24 hr. A rating system was developed to determine the effects of the digestive enzymes on the developing anthers. Results from field and laboratory studies indicate that L. elisus can cause similar or greater damage to cotton anthers compared to L. hesperus. Cotton will compensate from feeding injury from both species, masking yield losses from square abscission. Both species have a very similar damage potential as a pest of Texas High Plains cotton.
Composite effect of silica nanoparticle on the mechanical properties of cellulose‐based hydrogels derived from cottonseed hulls

Recently, cellulose-based hydrogel nanocomposite materials have been attracted increasing attention owing to their potential applications in different areas including medical, electrical, optical, and magnetic fields. This is due to the fact that cellulose is one of the most abundant resources and possesses several unique properties required in medical fields, whereas silica nanoparticles (nSiO2) play an important role in developing materials with high functionality. In this study, cottonseed hull (CSH) was used as a source of cellulose and nSiO2 was used to prepare hydrogel nanocomposite films via phase inversion method without chemical crosslinking agent of cellulose. CSH was first pre-treated with sodium hydroxide (NaOH) and sodium hypochlorite (NaOCl) for delignification and bleaching, respectively. The pre-treated CSH exhibited whiter fiber and lower amount of lignin as compared with the untreated CSH. The properties of cellulose-base hydrogel were found to be improved as a result of the addition of nSiO2 at 2–6 wt % for tensile strength and up to 10 wt % for modulus and elastic modulus (G′). However, the elongation at break was decreased with the incorporation of nSiO2. Moreover, the TEM images displayed the nano-grape structure of nSiO2 surrounded by cellulose molecules. © 2016 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2016, 133, 44557.
Theoretical study on effect of binding of Netropsin on thermal denaturation of synthetic oligo-nucleotides

The multiphasic nature of transition in Netropsin free and Netropsin bound in virgin reference mixture as well as in oligomers (dA)12-X-(dT)12-X-(dT)12 with and without salt surroundings has been successfully interpreted within the theoretical framework of Zimm and Bragg theory of helix to coil transition. The phenomenon of destabilization and stabilization of triplex and duplex due to the binding of Netropsin, in all cases has been successfully explained in terms of the nucleation parameter s and enthalpy changes DH. The Netropsin binding to the triplex leads to the decrease in the cooperativity of triplex → duplex and duplex → random coil melting and the increase in the enthalpy of both triplex → duplex and duplex→ random coil transition
Multi-lingual Support in Connective Learning Scheme for Refining and Connecting the Open Educational Videos

Tons of educational videos are available online. It is a big burden for learners to figure out the videos they need in the preferred time and language. Not all videos are suitable for learning according the length and presentation components. According to the Sweller’s cognitive load theory, the working memory in learning process is very limited, the learner must be selective to what information from sensory memory to pay attention. In the connective learning, we effectively apply NLP approach to refine the video subtitle in archiving, translating, summarizing, classifying, and labelling the relevant keywords to create the multi-lingual learner-friendly environment.