Miracle-dz/UniFAR-FTUs huggingface dataset:
A Scoping Review Protocol for Supply Chain Management Systems for Point of Care Diagnostics Services: Optimising COVID-19 Testing Capacity in Resource-limited Settings

BackgroundRapid and specific diagnostic tests are essential for severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) testing to allow prompt isolation and early treatment initiation if necessary. Currently, reverse transcription polymerase chain reaction (RT-PCR) tests are the gold standard for SARS-CoV-2 testing but are difficult to implement in resource-limited settings with poor access to laboratory infrastructure. Point of care (POC) testing may be more feasible in resource-limited settings because POC testing is cost-effective, easy to perform, results are rapid, and they can be performed at all levels of healthcare by health professionals with minimal training. To ensure equitable access, it is important that SARS-CoV-2 testing is optimised through well-established supply chain management (SCM). Here we outline a protocol for a scoping review aimed at mapping literature on SCM for POC testing in resource limited settings to guide both future research and the implementation of SARS-CoV-2 POC diagnostics. MethodologyThis scoping review will be guided by an adapted version of the Arksey and O’Malley methodological framework. We will search the Medline Ovid, Medline EBSCO, Scopus, PubMed, PsychInfo, Web of Science and EBSCOHost databases. We will search gray literature in the form of dissertations/theses, conference proceedings, websites of international organisations such as the World Health Organisation and government reports. We will include articles reporting evidence published since inception. Language restrictions will not be applied. We will use a search summary table to test the effectiveness of the search strategy. Two reviewers will screen eligible studies using a tool developed for this scoping review. The quality of the included studies will be appraised using the mixed method appraisal tool (MMAT) version 2018. Discussion The proposed scoping review will gather relevant studies on SCM systems for POC diagnostics services globally. We anticipate that this review’s findings will guide future research on SCM systems for POC diagnostics services in resource-limited settings. The results will be published in a scientific journal, presented at relevant conferences and form part of workshops with key stakeholders involved in SCM systems for POC diagnostics services.
Association between Climate Parameters and COVID-19 Pandemic in Jordan

This research aims to study the association between the daily confirmed COVID − 19 cases in the three major cities of Jordan; Amman, Zarqa, and Irbid and climate indicators to include the average daily temperature (0C), wind speed (m/s), relative humidity (%), pressure (kPa), and the concertation of the four pollutants (CO, NO2, PM10 and SO2). The data were obtained from both the World Air Quality Project website and the Jordanian Ministry of Environment. In this work, the multiple linear regression and feedforward artificial neural network were used for data analysis. It was concluded that the multiple linear regression and feedforward artificial neural network had the capability to forecast the COVID-19 confirmed cases in the case studies; Amman, Irbid and Zarqa. Finally, global sensitivity analysis using Sobol analysis indicated that pressure in Amman and Zarqa and the concentration of NO2 in Irbid has a high rate of positive cases that supports the virus's spread.
Identification and Molecular Characterization of a Novel Non-typical Carlavirus Infecting Rose Plants (Rosa Chinensis Jacq.)

In the present study, systematic screening of public transcriptomic data followed by a shotgun assembly from Rosa chinensis Jacq. revealed a sequence of 8,332 nucleotides (nt) representing a potential novel virus, tentatively named rose virus C (RVC). The incidence of RVC in rose plants under our survey was low (5.4%, 5 out of 92). The complete nucleotide sequence of RVC was determined by Sanger sequencing. The genomic RNA of RVC consists of 8,386 nt, excluding the 3′-poly(A) tail, and contains five definite open reading frames (ORFs). BlastN analysis revealed that RVC had 67.3-71.3% nt identity with the carlaviruses with the maximum coverage of 19%. Phylogenetic analysis showed that RVC clustered with the carlaviruses and had a nt sequence identity of 48.3-50.0% based on its full-length genome. Replication protein had 48.7-51.0% nt sequence identity with other carlaviruses while the coat protein showed 39.5-45.6% nt identity being much below the species demarcation criteria of 72%. These all indicate that RVC is a distinct carlavirus. Overall, our data suggest that RVC is a novel non-typical virus species of the genus Carlavirus.
Semiparametric integer‐valued autoregressive models on ℤ

In the analysis of real integer‐valued time series data, we often encounter negative values and negative correlations. For integer‐valued autoregressive time series, there are many parametric models to choose from, but some of them are relatively complex. With little information about the background of real data, we hope that a simple and effective semiparametric model can be used to obtain more information that usually cannot be provided by parametric models, such as the confidence interval of the innovation distribution. But the only existing semiparametric model based on thinning operators can only deal with non‐negative data with positive correlation coefficients. In addition, it has two drawbacks: first, an initial distribution of the innovation is required, but different initial values may lead to different results; second, the confidence interval of the innovation distribution is not available, which is essential in low‐valued data. To overcome these drawbacks, we propose a rounded semiparametric autoregressive model with a log‐concave innovation, which can deal with ℤ ‐valued time series with autoregressive coefficients of arbitrary sign. The consistencies of the estimators for the parametric and nonparametric parts of the model are also discussed. We illustrate the superior performance of the proposed model based on three real datasets.
Insights into seasonal variation of wet deposition over Southeast Asia 
via precipitation adjustment from the findings of MICS-Asia III

Abstract. Asia has attracted research attention because it has the highest anthropogenic emissions in the world, and the Model Inter-Comparison Study for Asia (MICS-Asia) Phase III was carried out to foster our understanding on the status of air quality over Asia. This study analyzed wet deposition in Southeast Asian countries (Myanmar, Thailand, Lao People's Democratic Republic (PDR), Cambodia, Vietnam, the Philippines, Malaysia, and Indonesia) with the aim of providing insights into the seasonal variation of wet deposition. Southeast Asia was not fully considered in MICS-Asia Phase II due to a lack of observational data; however, the analysis period of MICS-Asia III, namely, the year 2010, is covered by ground observations of the Acid Deposition Monitoring Network in East Asia (EANET), and the coordinated simulation domain was extended to cover these observation sites. The analyzed species are wet depositions of S (sulfate aerosol, sulfur dioxide (SO2), and sulfuric acid (H2SO4)), N (nitrate aerosol, nitrogen monoxide (NO), nitrogen dioxide (NO2), and nitric acid (HNO3)), and A (ammonium aerosol and ammonia (NH3)). The wet deposition simulated with seven models driven by unified meteorological model in MICS-Asia III was used with the ensemble approach, which effectively modulates the differences in performance among models. By comparison with EANET observations, although the seven models generally captured the wet depositions of S, N, and A, there were difficulties capturing these in some cases. This failure of models is considered to be related to the difficulty in capturing the precipitation in Southeast Asia, especially during the dry and wet seasons. To overcome this, a precipitation-adjusted approach which scaling the modeled precipitation to the observed value was applied, and it was demonstrated that the model performance was improved. Satellite measurements were also used to adjust for precipitation data, which worked well to account for spatio-and-temporal precipitation patterns, especially in the dry season. As the statistical scores were mostly improved by this adjustment, the estimation of wet deposition with precipitation adjustment was considered to be superior. To utilize satellite measurements, the spatial distribution of wet deposition was revised. Based on this revision, it was found that Vietnam, Malaysia, and Indonesia were upward-corrected and Myanmar, Thailand, Lao PDR, Cambodia, and the Philippines were downward-corrected; these corrections were up to ±40 %. The improved accuracy of precipitation amount was key to estimating wet deposition in this study. These results suggest that the precipitation-adjusted approach has the potential to obtain accurate estimates of wet deposition through the fusion of models and observations.
Seismicity and the State of Stress in the Dezful Embayment, Zagros Fold and Thrust Belt

This study focuses on determining the orientation and constraining the magnitude of present-day stresses in the Dezful Embayment in Iran’s Zagros Fold and Thrust Belt. Two datasets are used: the first includes petrophysical data from 25 wells (3 to 4 km deep), and the second contains 108 earthquake focal mechanisms, mostly occurring in blind active basement faults (5 to 20 km deep). Formal stress inversion analysis of the focal mechanisms demonstrates that there is currently a compressional stress state (Aφ=2.0–2.2) in the basement. The seismologically determined SHmax direction is 37° ± 10°, nearly perpendicular to the strike of most faults in the region. However, borehole geomechanics analysis using rock strength and drilling evidence leads to the counterintuitive result that the shallow state of stress is a normal/strike-slip regime. These results are consistent with the low seismicity level in the sedimentary cover in the Dezful Embayment, and may be evidence of stress decoupling due to the existence of salt layers. The stress state situation in the field was used to identify the optimally oriented fault planes and the fault friction coefficient. This finding also aligns with the prediction Coulomb faulting theory in that the N-S strike-slip basement Kazerun Fault System has an unfavorable orientation for slip in a reverse fault regime with an average SW-NE SHmax orientation. These results are useful for determining the origin of seismic activity in the basin and better assessing fault-associated seismic hazards in the area.
A Prognostic lncRNA Signature Associated with Lipid Metabolism in Glioma

Background: Long noncoding RNAs (lncRNAs) are promising cancer biomarkers and therapeutic targets . And lipid metabolism reprogramming is a trait of cancer metabolism. However, the relationship between lncRNAs and lipid metabolism and their prognostic value are still unclear in glioma. Hence, we screened for prognostic lncRNAs associated with lipid metabolism and explored their potential biological functions and effects on glioma. Methods: The glioma data were obtained from TCGA and CGGA databases. Correlation analysis was used to identify the lncRNAs associated with lipid metabolism . The Cox and LASSO regression analysis were adopted to find prognostic lncRNAs, and further established ceRNA network, clustering and risk score models. CNV and somatic mutation data were used to explore the correlation between risk score and genomic alterations. GSVA and GSEA was adopted to reveal the potential biological functions of prognostic lncRNAs. The abundance of 22 immune cells was inferred by CIBERSORT algorithm . The TIDE algorithm and GDSC database were used to predict the patient's response to immunotherapy and chemotherapy, respectively. Human glioma cell lines were used for further experimental validation. CCK-8 and colony forming assays were adopted to evaluate the cell viability. The cell proliferation was detected by EdU assay. Transwell assay was used to evaluate the ability of cell invasion and migration. Results: A total of twenty prognostic lncRNAs associated with lipid metabolism were found, and a prognostic lncRNA signature was established. A high risk-score suggested a poor prognosis , more malignant clinicopathological and genomic aberrations features. The risk score was also an independent prognos tic factor. The high-risk patients were more likely to benefit from anti-PD1 treatment. The biological function of signature lncRNAs was mainly to regulate the biosynthesis and transportation of lipid (especially the fatty acid). Among signature lncRNAs, LINC01614 was associated with prognosis, genomic aberrations characteristics, m6A methylation modification, immune infiltration status, and chemotherapy response of patients with glioma. In vitro experiments, silencing the expression of LINC01614 could inhibit the viability, migration , and proliferation of glioma cells. Conclusions: A prognostic lncRNA signature containing twenty lncRNAs associated with lipid metabolism was established in glioma. The signature lncRNAs play an important role in the development of glioma by regulating lipid biosynthesis and transportation. Our study also provides a new perspective for understanding the lipid metabolism and the biological role of lncRNAs in glioma.
MIL-160 as an Adsorbent for Atmospheric Water Harvesting

Nowadays, the rapidly growing population, climate change, and environment pollution put heavy pressure on fresh water resources. The atmosphere is the immense worldwide and available water source. The Adsorptive Water Harvesting from the Atmosphere (AWHA) method is considered a promising alternative to desalination technologies for remote arid regions. The development of novel adsorbents with advanced water-adsorption properties is a prerequisite for practical realization of this method. Metal–organic frameworks (MOFs) are a novel class of porous crystalline solids that bring a great potential for AWHA due to their extremely high specific surface area, porosity, and tailored adsorption properties. This work addresses MIL-160 as a water adsorbent for AWHA. The water-adsorption equilibrium of MIL-160 was studied by volumetric method, the isosteric heat of adsorption was calculated, and finally, the potential of MIL-160 for AWHA was evaluated for climatic conditions of the deserts of Saudi Arabia, Mongolia, the Sahara, Atacama, and Mojave as reference arid regions. MIL-160 was shown to ensure a maximum specific water productivity of 0.31–0.33 gH2O/gads per cycle. High fractions of water extracted (0.90–0.98) and collected (0.48–0.97) could be achieved at a regeneration temperature of 80 °C with natural cooling of the condenser by ambient air. The specific energy consumption for water production varied from 3.5 to 6.8 kJ/g, which is acceptable if solar heat is used to drive the desorption. The AWHA method employing MIL-160 is a promising way to achieve a fresh water supply in remote arid areas.
Differences in Concentrations and Fractions of Aluminum and Heavy Metals Between Aggregate Interior and Exterior

Previous research has indicated that Al and heavy metals are distributed unevenly within soil aggregates. This paper will examine statistically the differences in metal concentrations in aggregate interior and exterior by including more samples. Concentrations and fractions of Al, Cd, Cr, Cu, Fe, Mn, Ni, Pb, Zn, and the major metal sorbents (cation exchange sites, organic matter, oxides) in mechanically separated soil aggregate interior and exterior were measured. Aggregates were collected from 26 A and B horizons of 13 soils under forest or grassland. Metals were speciated using a 7-step sequential extraction procedure. The concentrations of all metal sorbents in the exterior were lower than in the interior. The concentrations of easily extractable fractions of all metals were higher in the exterior than in the interior, whereas the reverse was true for concentrations of metals extractable with strong acids only (residual). All differences were small but systematic and generally significant. We propose the following hypotheses to explain the results: (i) Preferential weathering of aggregate surfaces causes a shift from residual to other metal forms and (ii) preferential sorption of deposited metals by the aggregate surfaces leads to a total enrichment of metals in the aggregate exterior, especially in easily extractable forms.
Recognition of Value: A Critical Step in the Value Creation Process

This paper has demonstrated that the intentional Value Creation process presented by Lepak, Taylor & Smith (2007) can be enhanced by adding connections between the Value Creation Process of Lepak, Taylor & Smith (2007) and the Creativity Process of Amabile et al (1996) within a corporation, and that those two internal processes also have a relationship with the external entrepreneurial processes modeled by Krueger-Brazeal (1994) and Bhave (1994). Furthermore, all of these constructs can be related to the massive amount of dormant technology available in corporations, R&D labs, government research centers, universities, and foundations/nonprofit research centers. The relationship between each model assist in capturing the essence of Shane and Venkataraman (2000) whose article laid out a design for Entrepreneurship as a unique field of research. When the aforementioned models are included in one holistic model, the internal and external entrepreneurial processes are shown to have the same or nearly identical features.
Planar Transformer With Asymmetric Integrated Leakage Inductance Using Horizontal Air Gap

This article presents a novel planar-based transformer winding and core structure with controllable leakage inductance generation for integrated magnetics applications. As a result of limitations in integrated magnetics from the literature, a new approach is proposed utilizing semi-interleaved windings and controllable leakage via a leakage flux core leg featuring a horizontal air gap. The proposed transformer design is analyzed via detailed reluctance modeling to determine closed-form equations for the magnetizing and asymmetrically distributed leakage inductances. Next, a genetic-algorithm-based multiobjective design optimization problem is developed, seeking to minimize the core and winding losses of the proposed transformer subject to a set of parametric and geometric constraints in a dc–ac dual-active-bridge topology for microinverter applications. The optimization was extended to include other integrated magnetic structures from the literature, where it is determined that the proposed transformer is superior from the perspectives of efficiency, footprint area, and parasitic capacitance. Based on the results of the optimization analysis, two designs with theoretical transformer California Energy Commission (CEC) efficiency drops (i.e., CEC efficiency reduction specifically due to the transformer loss mechanisms) of 1.19% and 0.83% were fabricated and evaluated for electrical and thermal performance in the proposed 40 V, 400 W microinverter.
The importance of pre- and postcopulatory sexual selection promoting adaptation to increasing temperatures

Abstract Global temperatures are increasing rapidly affecting species globally. Understanding if and how different species can adapt fast enough to keep up with increasing temperatures is of vital importance. One mechanism that can accelerate adaptation and promote evolutionary rescue is sexual selection. Two different mechanisms by which sexual selection can facilitate adaptation are pre- and postcopulatory sexual selection. However, the relative effects of these different forms of sexual selection in promoting adaptation are unknown. Here, we present the results from an experimental study in which we exposed fruit flies Drosophila melanogaster to either no mate choice or 1 of 2 different sexual selection regimes (pre- and postcopulatory sexual selection) for 6 generations, under different thermal regimes. Populations showed evidence of thermal adaptation under precopulatory sexual selection, but this effect was not detected in the postcopulatory sexual selection and the no choice mating regime. We further demonstrate that sexual dimorphism decreased when flies evolved under increasing temperatures, consistent with recent theory predicting more sexually concordant selection under environmental stress. Our results suggest an important role for precopulatory sexual selection in promoting thermal adaptation and evolutionary rescue.
Discussion on Advanced Seepage Reduction Characteristics of Working Face under Seepage-Damage Coupling

The water burst of roof on working face has been one of the significant geotechnical engineering problems that needs to be urgently resolved. The coupling effects of seepage and damage on the amount and intensity of water inrush from the roof are critically important. In this paper, the seepage-damage coupling mathematical model of the aquifer in the working face is studied, and the seepage-damage coupling mechanics model at different stages of the aquifer is established. Under the coupling of permeability and damage, the water-soil characteristics of the aquifer in the 101163 working face of Mindong were numerically simulated by establishing the constitutive relation between vertical stress and permeability coefficient. The numerical results show that the stress concentration factor of the mining stress field gradually increases with the coal seam mining. The water-flowing fractured zone of the overburden is close to the communication of the quaternary aquifer. When the coal seam is excavated 250–300 m. Three free surfaces appear in the groundwater pressure field, and a large falling funnel is formed to establish a deep flow S-well well flow model. The research on the mining stress field and seepage field is carried out in combination with the Jakob formula. It is found that two sectors with reduced permeability of the fan surface are formed in front of the work. The variation law of the apocalyptic permeability infiltration under different mining distances, different coal seam thicknesses, different water pressures, and different roof management modes is studied systematically. The research indicates that the seepage flow under the condition of seepage infiltration of the lower aquifer should be between 50% and 100% of the traditional calculation method. The research results can help to deepen the understanding of the process of water inrush under the coupling of stress and seepage.