Miracle-dz/UniFAR-FTUs huggingface dataset:
Crispr-cas 12a combination to alleviate the false-positive in loop-mediated isothermal amplification-based diagnosis of Neisseria meningitidis

Loop mediated Isothermal amplicafication (LAMP) was recently suggested as a diagnostic tool for the identification of Neisseria meningitides. Howevere, this isothermal amplification is challenged by the fact its amplification leads to risks of obtaining false-positive results. Whereas, with abilities to accurately recognize specific sequence, the CRISPR/Cas12a can forms complexes with cognate RNA sensors and cleave pathogen’s DNA targets complimerntary to its cognate RNA and acquires collateral activity to unbiasedly cut nearby off-target fragments. Therefore, if relevant fluorescent-quencher-nucleic probes are present in the reaction, the non-specific cleavage of probes releases fluorescences and establish diagnostic read-outs. In this study, we demonstrate a proof-of-concept that in relevant biochemical conditions, CRISPR/Cas12a and LAMP can work synchronously to identify genetics materials of Nesseria menitigistis at the level of 0.00004% in less than 2 h. Additionally, our clinical data also showed that the combinatory of CRISPR/Cas12a help to alleviate false positive result therefore enhance the specificity gained by the LAMP assays.
The Effect of Different Ventilation Modes on the Outcomes of Patients Infected with Coronavirus Disease 2019 (COVID-19): a Protocol of Systematic Review and Network Meta-Analysis

Background: Coronavirus disease 2019 (COVID-19) outbreak has spread around the world, the high mortality rate and strong infectious cause surging global patients diagnosed patients and death while in response to the outbreak, a myriad of scientific research workers and researchers have made unremitting efforts, but effective treatments are still limited, even may say that there is no specific treatment. So a large number of patients with severe patients need treatment for respiratory support, in particular, based on various realistic factors, different way of ventilation is widely used in clinical, which kind of ventilation way is the best one of the most effective ventilation strategy is not clear, so we planned a network meta-analysis to evaluate different ventilation methods on new crown the efficacy and safety of patients, expect to find an optimal ventilation strategy.Methods and analysis: Two authors will independently search the electronic databases, preprints databases, Clinical Study Registration website and COVID-19 research related project database from December 1, 2019 to November 5, 2020. The primary outcomes are 1) All-cause mortality; 2) Transmission of COVID-19 to health care workers and other people; 3) Length of hospital stay; 4) Length of ICU stay. A systemic review and a network meta-analysis based on Bayesian framework will be performed to assess the effect of different ventilation modes on the outcomes of patients infected with COVID-19. The Grading of Recommendations Assessment, Development and Evaluation System (GRADE) will be used to evaluate the quality of evidence.Discussion: COVID-19 has spread around the world and become a global public health security problem. With limited treatment available, a large number of critically ill patients need ventilator support treatment, and the demand for ventilators has increased sharply. To our knowledge, this study will be the first systematic review and NMA to analyze the efficacy and safety of different ventilation modes in patients with COVID-19. This study expected to obtain the best choice of ventilation mode for COVID-19 patients based on high quality evidence. Ethics and dissemination: Ethical approval is not required owning to it is a literature-based study. The final conclusion will be disseminated through peer-reviewed publication. PROSPERO registration number: CRD42020219581
Microwave digestion for the determination of arsenic, cadmium and lead in seafood products by inductively coupled plasma atomic emission and mass spectrometry

A single microwave digestion procedure was developed for use with a variety of seafood products. Inductively coupled plasma atomic emission and mass spectrometry were used to determine the levels of As, Cd and Pb in samples of tuna, salmon, shrimp, walleye, clams, oysters and lobster. The precision for ten replicate analyses of clams was 2.1% for As at the 10.0 µg g–1 level, 5.6% for Pb at the 0.067 µg g–1 level and 2.5% for Cd at the 0.079 µg g–1 level. Acceptable spike recoveries in each of the sample types were achieved using both detection methods. Results for two standard reference materials were in good agreement with certified values
The Use of Android-Based PhET Simulation as an Effort to Improve Students' Critical Thinking Skills during the Covid-19 Pandemic

Covid-19 spurs teachers to carry out online learning. This study aimed to analyze the improvement of students' critical thinking skills through online learning based on Android-based PhET Simulation. This research was Quasi-Experimental using one group pre-test and post-test design involving 27 students of class VIII who program science subjects at MTs Alif Laam Miim Surabaya, Indonesia. The research instrument used critical thinking skills tests that have met valid and reliable requirements. Before and after learning activities, students were given a pre-test and a post-test. The data collected was analyzed descriptively quantitatively. The results showed that there was an increase in students' critical thinking skills with an average N-gain of 0.57, in the medium category. The highest N-gain was achieved in the "interpretation" indicator, which is 0.83 in the high category and the lowest in the "analysis" indicator, which is 0.39 in the moderate category. This study concluded that learning science by using an Android-based PhET Simulation can improve the critical thinking skills of junior high school students.
Synthesis of Copper Oxide Nanoparticles Using Plant Leaf Extract of Catha edulis and Its Antibacterial Activity

Development of green technology is generating interest of researchers towards ecofriendly and low-cost methods for biosynthesis of nanoparticles (NPs). In this study, copper oxide (CuO) NPs were synthesized using a copper nitrate trihydrate precursor and Catha edulis leaves extract as a reducing and capping agent during the synthesis. The biosynthesized CuO NPs were characterized using an X-ray diffractometer (XRD), scanning electron microscopy-energy-dispersive X-ray spectroscopy (SEM-EDS), transmission electron microscope (TEM), Ultraviolet visible spectroscopy (UV-Vis), and Fourier transform infrared (FTIR) spectroscopy. XRD characterization confirmed that the biosynthesized CuO NPs possessed a good crystalline nature which perfectly matched the monoclinic structure of bulk CuO. Furthermore, the results obtained from SEM and TEM showed that the biosynthesized CuO NPs were spherical in shape. EDS characterization of the biosynthesized NPs also indicated that the reaction product was composed of highly pure CuO NPs. Moreover, the antimicrobial activities of different concentrations of CuO NPs synthesized using Catha edulis extract were also tested. Accordingly, the result showed that the highest zone of inhibitions measured were for CuO NPs synthesized using 1 : 2 ratios at 40 mg/ml solution concentration and observed to be 22 ± 0.01 mm, 24 ± 0.02 mm, 32 ± 0.02 mm, and 29 ± 0.03 mm for S. aureus, S. pyogenes, E. coli, and K. pneumonia, respectively.
Effect of hydrogen passivation on charge storage in silicon quantum dots embedded in silicon nitride film

The effect of hydrogen passivation on the charge storage characteristics of two types of silicon nitride films containing silicon quantum dots (Si QDs) grown by SiH4+N2 and SiH4+NH3 plasma was investigated. The transmission electron microscope analysis and the capacitance-voltage measurement showed that the silicon nitride film grown by SiH4+NH3 plasma has a lower interface trap density and a higher density of Si QDs compared to that grown by SiH4+N2 plasma. It was also found that the charge retention characteristics in the Si QDs were greatly enhanced in the samples grown by means of SiH4+NH3 plasma, due to the hydrogen passivation of the defects in the silicon nitride films by NH3 during the growth of the Si QDs.
Disponibilidade de micronutrientes catiônicos em solo arenoso após adubação orgânica

Resumen pt: O objetivo deste estudo foi comparar solucoes extratoras (Mehlich 1, Mehlich 3 e DTPA-TEA pH 7,3) para cobre (Cu), ferro (Fe), manganes (Mn) e zinco (Zn).
A Hybrid Collision Model for Safety Collision Control

Self-collision detection and avoidance are essential for reactive control, in particular for dynamics robots equipped with legs or arms. Yet, only few control methods are able to handle such constraints, and it is often necessary to rely on path planning to define a collision-free trajectory that the controller would then track. In this paper, we introduce a combination of two lightweight, conservative and smooth models to generically handle self-collisions in robot control. For pairs of bodies that are far from one another on average (e.g. segments of distinct legs), we rely on a standard forward kinematics approach, using simplified geometries for which we provide analytical derivatives. For bodies that are moving close to one another, we propose to use a data-driven approach, with datasets generated thanks to a standard collision library. We then build a simple torque-based controller that can be implemented on top of any control law to prevent unexpected self-collision. This controller is meant to be implemented as a low-level protection, directly on the robot hardware. We also provide an open-source library to generate ANSI-C code for any robot model, experimented on the real quadruped Solo.
Prognostic value of fat attenuation index of pericoronary adipose tissue surrounding left anterior descending artery on coronary computed tomography angiography

Recent studies reported the association between elevated fat attenuation index (FAI) of pericoronary adipose tissue (PCAT) on coronary computed tomography angiography (CTA) and worse cardiac outcomes. We investigated the prognostic value of increased FAI-defined coronary inflammation status in patients with coronary artery disease. Three-hundred fifty-eight patients (127 acute coronary syndromes [ACS], 231 stable coronary artery disease) with left anterior descending artery (LAD) as a culprit vessel who underwent coronary CTA were retrospectively studied. The FAI defined as the mean CT attenuation value of PCAT (−190 to −30 Hounsfield Unit [HU]) was measured at the proximal 40-mm segment of LAD. All subjects were divided into two groups according to the median value of FAI in the LAD. The association between the incidence of major adverse cardiac events (MACE) including all-cause death, myocardial infarction, heart failure, target and non-target vessel revascularization were evaluated. In a total of 358 patients, median FAI values surrounding the LAD was −71.46 (interquartile range, −77.10 to −66.34) HU. Thirty-eight patients (10.6%) experienced MACE during the follow-up period (median, 818 days). Kaplan-Meier analysis revealed that high FAI-LAD (>−71.46 HU [median]) was significantly associated with the incidence of MACE (log-rank test, chi-square = 4.183, P=0.041) (Figure). In patients with coronary artery disease with culprit LAD lesions, elevated FAI of PCAT surrounding the LAD was associated with worse clinical outcomes. Assessment of FAI may have a potential for potential for non-invasive risk-stratification by coronary CTA. Kaplan-Meier analysis for MACE Type of funding source: None
PENGARUH SOLVABILITAS, PROFITABILITAS, DAN LIKUIDITAS TERHADAP NILAI PERUSAHAAN (Studi Empiris Pada Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia Periode 2016-2018)

Company value is the price that prospective buyers are willing to pay if the company is sold. Company value is defined as market value. Because the value of the company can provide maximum prosperity for shareholders if the company's stock price increases. The higher the stock price, the higher the shareholder prosperity. This study aims to find out how much influence solvency, profitability, and liquidity have on firm value. The data used in this study are secondary data obtained from the financial statements of manufacturing companies listed on the Stock Exchange in the 2016-2018 period. The sampling technique used was purposive sampling. The number of companies sampled in this study were 35 companies so that the total sample of the study was 105 observations. The data analysis method used is multiple linear regression analysis. The results of this study are still many variables outside the study that can explain the value of the company. The coefficient of determination is 0.495, which means 49.5% of the company's value is influenced by these variables, while the rest is explained by other variables. Based on the results it can be concluded that solvency, profitability, and liquidity have a significant effect on firm valueKeywords: Solvency, Profitability, Liquidity, and Firm Value
Mechanisms of Decadal North Atlantic Climate Variability and Implications for the Recent Cold Anomaly

Decadal sea surface temperature (SST) fluctuations in the North Atlantic Ocean influence climate over adjacent land areas and are a major source of skill in climate predictions. However, the mechanisms underlying decadal SST variability remain to be fully understood. This study isolates the mechanisms driving North Atlantic SST variability on decadal time scales using low-frequency component analysis, which identifies the spatial and temporal structure of low-frequency variability. Based on observations, large ensemble historical simulations, and preindustrial control simulations, we identify a decadal mode of atmosphere–ocean variability in the North Atlantic with a dominant time scale of 13–18 years. Large-scale atmospheric circulation anomalies drive SST anomalies both through contemporaneous air–sea heat fluxes and through delayed ocean circulation changes, the latter involving both the meridional overturning circulation and the horizontal gyre circulation. The decadal SST anomalies alter the atmospheric meridional temperature gradient, leading to a reversal of the initial atmospheric circulation anomaly. The time scale of variability is consistent with westward propagation of baroclinic Rossby waves across the subtropical North Atlantic. The temporal development and spatial pattern of observed decadal SST variability are consistent with the recent observed cooling in the subpolar North Atlantic. This suggests that the recent cold anomaly in the subpolar North Atlantic is, in part, a result of decadal SST variability.
Aspects of the co-ordination chemistry of the antiviral nucleotide analogue, 9-[2-(phosphonomethoxy)ethyl]-2,6-diaminopurine (PMEDAP)

The acidity constants of the twofold protonated, acyclic, antiviral nucleotide analogue 9-[2-(phosphonomethoxy)ethyl]-2,6-diaminopurine, H2(PMEDAP)±, as well as the stability constants of the M(H;PMEDAP)+ and M(PMEDAP) complexes with the metal ions M2+ = Mg2+, Ca2+, Sr2+, Ba2+, Mn2+, Co2+, Ni2+, Cu2+, Zn2+ or Cd2+, have been determined by potentiometric pH titrations in aqueous solution at I = 0.1 M (NaNO3) and 25 °C. Application of previously determined straight-line plots of log K MM(R-PO3)versus pK HH(R-PO3) for simple phosph(on)ate ligands and comparisons with previous results obtained for the nucleobase-free compound (phosphonomethoxy)ethane, PME, and its derivative, PME-R, where R represents a nucleobase residue without an affinity for metal ions, show that the primary binding site of PMEDAP2– is the phosphonate group with all the metal ions studied and that also in all instances 5-membered chelates involving the ether oxygen of the –CH2OCH2PO32– chain are formed. The position of the isomeric equilibria between these chelates, M(PMEDAP)cl/O, and the ‘open’ complexes, M(PMEDAP)op, is determined. In the M2+/PMEDAP2– systems with Co2+, Ni2+, Cu2+, and most likely also Zn2+, a third isomer is formed which was detected by comparing the stabilities of the M(PMEDAP) and M(PME-R) complexes; this additional stability enhancement has to be attributed to the 2,6-diaminopurine residue. General considerations as well as 1H NMR line broadening studies with Cu2+ reveal that in this third isomer a macrochelate is formed in which the phosphonate-bound metal ion interacts in addition with N7 of the purine residue, M(PMEDAP)cl/N7. The equilibria involving the three isomers are described and quantified; e.g. 19 (±3)% of Cu(PMEDAP) exists as an isomer with a sole phosphonate co-ordination, 38 (±11)% as Cu(PMEDAP)cl/O and 43 (±11)% as Cu(PMEDAP)cl/N7. The corresponding numbers of Ni(PMEDAP) are 33 (±6)% (open), 13 (±8)% (cl/O) and 54 (±10)% (cl/N7). The open and the macrochelated isomers resemble in their structure the corresponding complexes formed by the parent nucleotide adenosine 5′-monophosphate (AMP2–). The possible interrelation between the structure of the metal ion complexes in solution and the antiviral properties of PMEDAP and related compounds is discussed.
English rural policing: job stress and psychological distress

PurposeJob stressor exposure is associated with mental health in police officers. Police stress research rarely draws a distinction between urban and rural policing, raising the possibility that stressors specific to the rural context remain unidentified and their implications unknown. This may hinder actions to protect the mental health of those involved in policing rural communities.Design/methodology/approachAmong rural policing teams in an English county police force this study used an exploratory sequential mixed method design to (1) identify and quantify exposure to rural policing stressors and (2) examine links between job stressor exposure and psychological distress.FindingsInterviews (N = 34) identified three rural policing job stressor themes: (1) job demands, (2) isolation and (3) critical decisions. Survey data (N = 229) indicated significant differences in exposure by rank to demand and critical decision stressors, with police community support officers (PCSOs) reporting lower exposure than officers of constable and sergeant rank. Overall, 44% of respondents reported symptoms of psychological distress indicative of likely minor psychiatric disorder; higher levels of psychological distress were associated with higher stressor exposure across all three job stressor themes for PCSOs and constables and within the job demand theme for sergeants.Originality/valueFindings point towards practical actions focussed on resource provision for officers and a research strategy to ameliorate the impact of stressors in English rural policing.
CDS: Contextual Spoken Language Understanding Model Based on Dual Semantics

Spoken language understanding (SLU) in multi-turn task-oriented dialogue systems usually needs to take historical contextual information into account. To achieve this, current approaches encode dialogue utterances with contextual information to improve the accuracy of slot filling and intent detection. However, this kind of approach ignores the different influences of contextual information on dialogue utterances. Some utterances with independent context will be misunderstood due to the addition of noisy contextual information. In this paper, we propose a Dual Semantics model(CSD) that is based on dual semantics. Each dialogue utterance is encoded based on independent semantics and contextual semantics, where the contributions of these two semantic information are dynamically decided. A large number of experiments on two datasets verify the effectiveness of our approach. Specifically, the accuracy of slot filling at the KVRET dataset increases by 3.3% compared to the baseline model. A dataset of psychological service appointments(PSA), is further collected for the verification of our approach. Compared with existing methods, the accuracy is improved by 4.9% on this dataset.
Comparing rotation forests and extreme gradient boosting for monitoring drought damage on KwaZulu-Natal commercial forests

Abstract This study explored the utilization of rotation forests (RTF) and extreme gradient boosting (XGBoost) machine learning algorithms (MLAs) to classify drought damage in commercial forests in KwaZulu-Natal (KZN). These algorithms were trained using information obtained from the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) derived vegetation and conditional drought indices. The results demonstrated that both algorithms were capable of accurately detecting trees that exhibit drought damage and those that did not, this was more apparent when classifying based on information derived from conditional drought indices that yielded an overall accuracy of 82% and 76% for XGBoost and RTF, respectively. However, the accuracy decreased when using vegetation indices data, resulting in an accuracy of 69% and 72% for XGBoost and RTF, respectively. Overall, the results demonstrated that MLAs could be utilized for classifying drought damage on forest vegetation. Additionally, the study showed that MODIS imagery could be used for MLA classification.
Polymers Exhibiting Lower Critical Solution Temperatures as a Route to Thermoreversible Gelators for Healthcare

The ability to trigger changes to material properties with external stimuli, so‐called “smart” behavior, has enabled novel technologies for a wide range of healthcare applications. Response to small changes in temperature is particularly attractive, where material transformations may be triggered by contact with the human body. Thermoreversible gelators are materials where warming triggers reversible phase change from low viscosity polymer solution to a gel state. These systems can be generated by the exploitation of macromolecules with lower critical solution temperatures included in their architectures. The resultant materials are attractive for topical and mucosal drug delivery, as well as for injectables. In addition, the materials are attractive for tissue engineering and 3D printing. The fundamental science underpinning these systems is described, along with progress in each class of material and their applications. Significant opportunities exist in the fundamental understanding of how polymer chemistry and nanoscience describe the performance of these systems and guide the rational design of novel systems. Furthermore, barriers to translating technologies must be addressed, for example, rigorous toxicological evaluation is rarely conducted. As such, applications remain tied to narrow fields, and advancements will be made where the existing knowledge in these areas may be applied to novel problems of science.
Evaluation of Enterprise Investment Value Based on Principal Component Analysis: Information Transmission, Software and Information Technology Services in China

The paper selected the relevant data of 302 listed companies in information transmission, software and information technology services from 2014 to 2018 in China, used principal component analysis method to analyze the investment value, obtained the ranking of investment value, and compared it with the market performance to determine the investment strategy. Faced with the increasingly mature development of China's information service industry, how to correctly measure enterprise value and judge investment opportunities has become the key to the success or failure of many investors. Therefore, it is of great practical significance to analyze the investment value of listed companies in China's information service industry.