Miracle-dz/UniFAR-FTUs huggingface dataset:
Meanings and mechanisms of One Health partnerships: insights from a critical review of literature on cross-government collaborations

Abstract Complex health policy challenges such as antimicrobial resistance and other emerging infections are driven by activities in multiple sectors. Therefore, addressing these also requires joint efforts from multiple sectors as exemplified in the One Health approach. We undertake a critical review to examine the different ways in which multisector partnerships have been conceptualized across multiple disciplines and thematic areas. We started with a set of six articles from the disciplines of health, nutrition and public administration that reviewed conceptual frameworks within their respective fields. We conducted backward citation tracing using the bibliography of the six articles to identify other articles in the same and related fields that conceptualized multisector partnerships. We identified 58 articles published from 1967 to 2018 from the fields of global health, infectious diseases, management, nutrition and sustainability sciences indicating that multisector partnerships have been a topic of study across different fields for several decades. A thematic analysis of the 58 articles revealed that multisector partnerships assume a variety of forms and have been described in different ways. Partnerships can be categorized by scope, scale, formality and strength. Multisector partnerships emerge in conditions of dynamic uncertainty and sector failure when the information and resources required are beyond the capacities of any individual sector. Such partnerships are inherently political in nature and subsume multiple competing agendas of collaborating actors. Sustaining collaborations over a long period of time will require collaborative approaches like One Health to accommodate competing political perspectives and include flexibility to allow multisector partnerships to respond to changing external dynamics.
Advancing Local Distance Discrimination of Explosions and Earthquakes With Joint P/S and ML‐MC Classification

Classification of local‐distance, low‐magnitude seismic events is challenging because signals can be numerous and difficult to characterize with approaches developed for larger magnitude events observed at greater distances. Yet, accurate classification is important to studies of earthquake processes and detection of potential underground nuclear tests. Here, we combine two classification metrics: the three‐component ratio of high‐frequency P/S amplitudes and the difference between local and coda duration magnitudes (ML‐MC). The metrics use different parts of the high‐frequency wavefield and exhibit complementary sensitivity for classification of M ∼ 0.5–4 natural earthquakes and borehole explosions, which are the best analog for underground nuclear explosions. Using means from bootstrap resampling across four diverse geologic settings, joint classification achieves >94.4% true positives and <8.4% false positives when using ≥8 seismographs within 200 km of the source. This high performance is obtained without local site corrections, indicating that the method may be transportable for local event classification.
Ultrareproducible SAW Resonator Production

Abstract : A fabrication process for 300 MHz and 461 MHz SAW resonators with unloaded Q factors of 15000 and 12000 has been developed which yields a frequency reproducibility of + or - 15 ppm within one substrate without individual frequency trimming for each chip. This was achieved by (1) x-ray topographical preselection of natural-grown quartz substrates, (2) by the use of metallic grating reflectors fabricated by direct step on the water with a 1:10 optical projection printing and lift-off technique, and (3) by careful mounting. With typically 68 chips per substrate, 90% yield has been regularly achieved. The frequency deviation from substrate to substrate for selected natural quartz material is about + or - 20 ppm. Therefore for most applications the post fabrication frequency adjustment (trimming) of each individual resonator can now be omitted. The measurement of accelerated (high temperature) aging indicates that aging rates are obtained which are comparable to those for precision bulk wave crystals.
Mapping the literature on parent-child language across activity contexts: a scoping review

ABSTRACT Linguistic interactions between parents and their children are frequently studied to investigate how children acquire language. From observations, researchers have identified interaction strategies that foster children’s language development. In turn, interventions to support children’s early language skills employ styles of interaction derived from these observations. However, researchers have not often considered how the activity context selected for observation may affect the language used, or whether these contexts reflect children’s diverse experiences. The aim of this scoping review was to explore the breadth of literature about language use across a range of activities. Included studies described linguistic outputs of parents and typically developing children (aged 1;0–5;11 years) and activity context(s). Searches were conducted in PsycInfo, Medline, CINAHL, ERIC-ProQuest and Google Scholar. From 16,718 records, 59 studies were retained. Studies were charted according to the population included, linguistic outputs recorded, activity contexts studied and the methodological design. To allow for comparison of results across activity contexts, five thematic categories were identified: play activities, book reading, naturalistic routines, media and methodological implications. Challenges for future research are discussed, including ways to ensure the ecological validity of findings by coupling naturalistic language recordings with data collected during diverse everyday activity contexts.
Privacy in the next generation Internet. Data proection in the context of European Union policy

With the growth in social, political and economic importanceof the Internet, it has been recognized that the underlyingtechnology of the next generation Internet must not only meetthe many technical challenges but must also meet the socialexpectations of such a pervasive technology. As evidence ofthe strategic importance of the development of the Internet,the European Union has adopted a communication to the Counciland the European Parliament focusing on the next generationInternet and the priorities for action in migrating to the newInternet protocol IPv6 andalso a new Directive (2002/58/EC) on'processing of personal data and protection of privacy in theelectronic communication sector'. The Data Protection Directiveis part of a package of proposals for initiatives which willform the future regulatory framework for electroniccommunications networks and services. The new Directive aims toadapt and update the existing Data ProtectionTelecommunications Directive (97/66/EC) to take account oftechnological developments. However, it is not well undersoodhow this policy and the underlying Internet technology can bebrought into alignment.This dissertation builds upon the results of my earlierlicentiate thesis by identifying three specific, timely, andimportant privacy areas in the next generation Internet: uniqueidentifiers and observability, privacy enhanced location basedservices, and legal aspects of data traffic.Each of the three areas identified are explored in the eightpublished papers that form this dissertation. The paperspresent recommendations to technical standarization bodies andregulators concerning the next generation Internet so that thistechnology and its deployment can meet the specific legalobligations of the new European Union data protectiondirective.
Longitudinal aspects of the genetic analysis of reproduction traits in a modern heavy turkey line

The current trend in turkey breeding is to maximise meat yield as a response to market demands. Although there is evidence that the intense selection for body traits has a detrimental effect on the reproductive performance of hens, the degree of the correlated responses has not been assessed for modem turkey lines. Furthermore, little is known about the longitudinal characteristics of egg laying. The common approach for breeders is to use the total egg production over a specified period, which implicitly ignores the changes in the underlying physiology of laying. One way of providing more accurate modelling might be to account for these changes over time. Therefore, the objective of this thesis was to investigate the longitudinal aspect of the genetics of egg laying in two heavy female turkeys and explore whether considering time features of laying may improve selection efficiency. The dataset consisted of records from two commercial lines, although only one had longitudinal data. The genetic correlation between body weight and total egg number was estimated to be -0.7±0.1 and -0.5±0.1 in the two lines studied. Both estimates were highly negative and larger in magnitude than in traditional and lighter lines, suggesting that the continuous selection for growth hinders genetic progress for egg production. Heritability estimates for body weight were high (around 0.4), while being lower for total egg number (around 0.2 for egg records on which Box-Cox transformation has been applied to reduce their deviation from normality). Since heavier birds tended to lay fewer eggs within a specific period, this implied reduced rates of lay. In order to explore this consequence of the selection for antagonistic traits, a time-to-event trait was formulated that corresponded to the days required for a hen to lay 82 eggs (the average egg production in the dataset). It was shown that the Weibull distribution could satisfactorily serve as the baseline function under a survival analysis context. So, a frailty model was constructed to perform a genetic analysis of the time trait and it was found that its heritability estimate was between that for the transformed and untransformed total egg number. Random regression (RR) models were also considered for the longitudinal analysis of egg production. It was shown by cross-validation that these models offered lower prediction errors for missing values compared to multi-trait and repeatability models. Furthermore,
MOOCs and open education: Implications for higher education

This report sets out to help decision makers in higher education institutions gain a better understanding of the phenomenon of Massive Online Open Courses (MOOCs) and trends towards greater openness in higher education and to think about the implications for their institutions. The phenomena of MOOCs are described, placing them in the wider context of open education, online learning and the changes that are currently taking place in higher education at a time of globalisation of education and constrained budgets. The report is written from a UK higher education perspective, but is largely informed by the developments in MOOCs from the USA and Canada. A literature review was undertaken focussing on the extensive reporting of MOOCs through scholarly blogs, press releases as well as openly available reports and research papers. This identified current debates about new course provision, the impact of changes in funding and the implications for greater openness in higher education. The theory of disruptive innovation is used to help form the questions of policy and strategy that higher education institutions need to address
Small-scale agricultural grassland management can affect soil fungal community structure as much as continental scale geographic patterns

ABSTRACT A European transect was established, ranging from Sweden to the Azores, to determine the relative influence of geographic factors and agricultural small-scale management on the grassland soil microbiome. Within each of five countries (factor ‘Country’), which maximized a range of geographic factors, two differing growth condition regions (factor ‘GCR’) were selected: a favorable region with conditions allowing for high plant biomass production and a contrasting less favorable region with a markedly lower potential. Within each region, grasslands of contrasting management intensities (factor ‘MI’) were defined: intensive and extensive, from which soil samples were collected. Across the transect, ‘MI’ was a strong differentiator of fungal community structure, having a comparable effect to continental scale geographic factors (‘Country’). ‘MI’ was also a highly significant driver of bacterial community structure, but ‘Country’ was clearly the stronger driver. For both, ‘GCR’ was the weakest driver. Also at the regional level, strong effects of MI occurred on various measures of the soil microbiome (i.e. OTU richness, management-associated indicator OTUs), though the effects were largely regional-specific. Our results illustrate the decisive influence of grassland MI on soil microbial community structure, over both regional and continental scales, and, thus, highlight the importance of preserving rare extensive grasslands.
Sex Differences in the Relation Between Subjective Memory Complaints, Impairments in Instrumental Activities of Daily Living, and Risk of Dementia

Older people with symptoms of subjective memory complaints (SMC) and impairments in instrumental activities of daily living (IADL) have an increased risk of developing dementia. The predictive value of SMC and IADL‐impairments may be modified by sex. This could have consequences for personalized risk prediction and prognosis.
Novel Planar Multimode Bandpass Filters with Radial-Line Stubs

This paper presents a novel approach for designing planar multimode wideband bandpass fllters with good selectivity. The multimode resonator is composed of an open-ended microstrip line with length of half-wavelength (‚=2) and several radial-line stubs. By using difierent kinds of radial-line loaded stubs, difierent kinds of responses including three-pole and four-pole bandpass fllters can be realized. Depending on electric fleld distribution and equivalent circuit model, the characteristics of the fllter are analyzed. To verify the proposed method, two fllters are implemented. The measured results exhibit good agreement with the simulation.
The reliability and economic analysis of rainwater harvesting system for commercial building with large rooftop area

The problem of water shortages faced by many countries including the country that having sufficient water source needs to be provided a practical engineering solution. The reliability analysis of rainwater harvesting system (RWHS) installed at the commercial building of AEON Taman Universiti located in Johor Barhu city of Malaysia was based on the rainfall pattern, rainwater use and rainwater storage tank. The economic analysis using the net present value (NPV), return on investment (ROI) and benefit-cost ratio (BCR) was performed to assess the optimal management of RWHS installed during the period of construction and retrofitted after the operation of commercial building. The results showed that the balance of water supply and demand is reliable to implement the RWHS and the optimal management of 1000-m3 RWHS tank installed during the construction could be more promising than that retrofitted after the operation of AEON Taman Universiti commercial building. The operation of RWHS installed during the construction of building is obviously more feasible due to the values of NPV, ROI and BCR tend to be high. The reliability and economic analysis of RWHS installed during construction and that retrofitted after operation of commercial building demonstrated the benefit of RWHS installation will contribute to the future of building design for achieving an effective water management.
Unity power factor three-phase dither rectifier using a single switching device

Electronic equipment is now widely spread in all industrial, commercial and domestic fields, which has resulted in an increasing presence of rectifier loads in the power system. The usually used capacitor input rectifiers, however, inject a large amount of low-order harmonic currents to the power system, which causes the distortion of the system's voltage waveform The authors have proposed a family of converters with over 99% power factor using a unique switching device and simple control schemes, named a dither converter. However, previously presented circuits are effective only for small single-phase power sources, which limit their application to home electronics and office use equipment. In this paper, a new three-phase rectifier circuit with sinusoidal input current is proposed. This circuit is composed of three fly-back transformers, a diode bridge and a single switching device, which results in a very simple circuitry and control method. Computer simulation confirmed the validity of the circuit, showing sinusoidal and balanced input currents and a ripple-less output voltage. A 3 kW experimental circuit was also made to confirm the numerical results. The circuit obtained 99.0% power factor, 85% efficiency and small output ripple voltage. <<ETX>>
The Anti-Inflammatory Effect of Smilax china L. Extract on LPS-Stimulated THP-1 via Downregulation of MAPK and NF-κB Signaling Pathway

Background Traditional Chinese medicine Smilax is the rhizome of liliaceous plant Smilax china L. , which is used to treat pelvic inflammatory disease and anxieties. Purpose To investigate the mechanism of anti-inflammatory activity of the extract from Smilax china L. (ES). Methods The components of ES were identified by UPLC-QTOF-MS/MS. The anti-inflammatory activities were evaluated in xylene-induced ear oedema and egg white-induced plantar swelling test. Cell viability was examined by CCK-8 assay. The inflammatory mediators, proinflammatory cytokines, and MAPK and NF-κB signals in LPS-stimulated THP-1 cells were determined using ELISA, real-time PCR, and Western blot, respectively. Results 20 compounds of ES were confirmed by comparing with the reference substance. ES displayed more prominent anti-inflammatory activity than the positive control “Jin Gang Teng” capsule in the in vivo acute inflammatory model. ES suppressed the expression of PGE2 and 6-Keot-PGF1α, and the ratio of IC50 (COX-1)/IC50 (COX-2) of ES was 3.15, which indicated that ES could selectively inhibit COX-2. ES dose-dependently (12.5, 25, and 50 mg/L) decreased the production and mRNA levels of proinflammatory cytokines IL-1β, IL-6, and TNF-α. Furthermore, ES significantly decreased LPS-induced phosphorylation of p38, JNK, ERK1/2, and p65, inhibiting the expression of IKKα and the degradation of IκBα. Conclusion The results suggested that ES could selectively inhibit the activity of COX-2, and the anti-inflammatory effect of ES was associated with the inhibition of IL-1β, IL-6, and TNF-α via negative regulation of MAPK and NF-κB signaling pathways in LPS-induced THP-1 cells.
CPEB1, a novel risk gene in recent-onset schizophrenia, contributes to mitochondrial complex I defect caused by a defective provirus ERVWE1

BACKGROUND Schizophrenia afflicts 1% of the world population. Clinical studies suggest that schizophrenia patients may have an imbalance of mitochondrial energy metabolism via inhibition of mitochondrial complex I activity. Moreover, recent studies have shown that ERVWE1 is also a risk factor for schizophrenia. Nevertheless, there is no available literature concerning the relationship between complex I deficits and ERVWE1 in schizophrenia. Identifying risk factors and blood-based biomarkers for schizophrenia may provide new guidelines for early interventions and prevention programs. AIM To address novel potential risk factors and the underlying mechanisms of mitochondrial complex I deficiency caused by ERVWE1 in schizophrenia. METHODS Quantitative polymerase chain reaction (qPCR) and enzyme-linked immunosorbent assay were used to detect differentially expressed risk factors in blood samples. Clinical statistical analyses were performed by median analyses and Mann-Whitney U analyses. Spearman’s rank correlation was applied to examine the correlation between different risk factors in blood samples. qPCR, western blot analysis, and luciferase assay were performed to confirm the relationship among ERVWE1, cytoplasmic polyadenylation element-binding protein 1 (CPEB1), NADH dehydrogenase ubiquinone flavoprotein 2 (NDUFV2), and NDUFV2 pseudogene (NDUFV2P1). The complex I enzyme activity microplate assay was carried out to evaluate the complex I activity induced by ERVWE1. RESULTS Herein, we reported decreasing levels of CPEB1 and NDUFV2 in schizophrenia patients. Further studies showed that ERVWE1 was negatively correlated with CPEB1 and NDUFV2 in schizophrenia. Moreover, NDUFV2P1 was increased and demonstrated a significant positive correlation with ERVWE1 and a negative correlation with NDUFV2 in schizophrenia. In vitro experiments disclosed that ERVWE1 suppressed NDUFV2 expression and promoter activity by increasing NDUFV2P1 level. The luciferase assay revealed that ERVWE1 could enhance the promoter activity of NDUFV2P1. Additionally, ERVWE1 downregulated the expression of CPEB1 by suppressing the promoter activity, and the 400 base pair sequence at the 3′ terminus of the promoter was the minimum sequence required. Advanced studies showed that CPEB1 participated in regulating the NDUFV2P1/NDUFV2 axis mediated by ERVWE1. Finally, we found that ERVWE1 inhibited complex I activity in SH-SY5Y cells via the CPEB1/NDUFV2P1/NDUFV2 signaling pathway. CONCLUSION In conclusion, CPEB1 and NDUFV2 might be novel potential blood-based biomarkers and pathogenic factors in schizophrenia. Our findings also reveal a novel mechanism of ERVWE1 in the etiology of schizophrenia.
Pattern Recognition for UHF Partial Discharge of Power Transformer Using LS-SVM

Partial discharge diagnosis is an important tool for detecting insulation defects in power equipments. This paper presents a pattern recognition approach based on Least Squares Support Vector Machine (LS-SVM) for Ultra High Frequency (UHF) partial discharge diagnosis of power transformer. Six different feature parameters were extracted from the data obtained from Partial Discharge (PD) on-line monitoring system. LS-SVM was used to discriminate between 4 different PD sources. Experimental results demonstrate that the proposed approach has higher recognition accuracy compared with traditional BPNN recognition method under condition of small samples, and has great potential for use of field data.
Degradable Hydrogel Adhesives with Enhanced Tissue Adhesion, Superior Self‐Healing, Cytocompatibility, and Antibacterial Property

Degradable hydrogel adhesives with multifunctional advantages are promising to be candidates as hemostatic agents, surgical sutures, and wound dressings. In this study, hydrogel adhesives are constructed by catechol‐conjugated gelatin from natural resource, iron ions (Fe3+), and a synthetic polymer. Specifically, the latter is prepared by the radical ring‐opening copolymerization of a cyclic ketene acetal monomer 5,6‐benzo‐2‐methylene‐1,3‐dioxepane and N‐(2‐ethyl p‐toluenesulfonate) maleimide. By the incorporation of ester bonds in the backbone and the combination with quaternary ammonium salt pendants in the polymer, it exhibits excellent degradability and antibacterial property. Remarkably, doping the synthetic polymer into the 3,4‐dihydroxyphenylacetic acid‐modified gelatin network forms a semi‐interpenetrating polymer network which can effectively improve the rigidity, tissue adhesion, and antibacterial property of fabricated hydrogel adhesives. Moreover, non‐covalent bonds from coordination interaction between catechol and Fe3+ contribute to the fast self‐healing of the developed hydrogel adhesives. These hydrogel adhesives with the multiple merits including the degradability, enhanced tissue adhesion, superior self‐healing, good cytocompatibility, and antibacterial property show the great potential to be used as tissue adhesives in biomedical fields.