Miracle-dz/UniFAR-FTUs huggingface dataset:
New occurrence of the Guanshan Lagerstätte (Cambrian Series 2, Stage 4) in the Kunming area, Yunnan, southwest China, with records of new taxa

Abstract As a classic Burgess-Shale-Type Konservat-Lagerstätte, the Guanshan biota is well known for its abundant soft-bodied fossils with high taxonomic diversity. Here, we report a new locality of the Guanshan biota in the Kunming area, Yunnan, South China with several new forms being first documented. In particular: a naraoiid euarthropod, the dorsal exoskeleton of which has characters of both naraoiids and Emucaris; and a discoidal animal, identified as a small eldonioid-like metazoan, which has a counterpart from the Emu Bay Shale Lagerstätte of South Australia, and which further strengths the biogeographic connection between the early Cambrian biotas of South China and Australia. Our new discoveries not only expand the palaeogeographic distribution of the Guanshan biota, but also reveal that its biodiversity is much higher than previously thought, and can be justifiably regarded as a community successor to the Chengjiang biota. Jun Zhao [zhaojunpaleo@126.com], Yunnan Key Laboratory for Palaeobiology, Institute of Palaeontology, Yunnan University, Kunming, Yunnan, 650091, China; Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Yunnan University, Kunming 650091, China; MEC International Joint Laboratory for Palaeobiology and Palaeoenvironment, Institute of Palaeontology, Yunnan University, Kunming, Yunnan, 650091, China; Yujing Li [yujingli@ynu.edu. cn], Yunnan Key Laboratory for Palaeobiology, Institute of Palaeontology, Yunnan University, Kunming, Yunnan, 650091, China; MEC International Joint Laboratory for Palaeobiology and Palaeoenvironment, Institute of Palaeontology, Yunnan University, Kunming, Yunnan, 650091, China; Paul A. Selden [selden@ku.edu], Department of Geology, University of Kansas, 1457 Jayhawk Boulevard, Lawrence, KS 66045, USA; Natural History Museum, Cromwell Road, London SW7 5BD, UK; Peiyun Cong [cong@ynu.edu. cn], Yunnan Key Laboratory for Palaeobiology, Institute of Palaeontology, Yunnan University, Kunming, Yunnan, 650091, China; MEC International Joint Laboratory for Palaeobiology and Palaeoenvironment, Institute of Palaeontology, Yunnan University, Kunming, Yunnan, 650091, China.
Prevalence of asymptomatic Bacteriuria among Pregnant Women Attending Antenatal Clinic at Plateau State Specialist Hospital, Jos, Nigeria

Abstract Asymptomatic bacteriuria (ASB), common occurrence in pregnancy usually results in maternal and fetal complications. Bacterial infection is often missed in pregnancy because urine microscopy, culture and sensitivity is not part of the approved laboratory tests for women attending antenatal clinic (ANC)s in Nigeria. This study was a cross-sectional, laboratory-based study involving 136 first-, second-, and third trimester, consecutive pregnant women attending ANC at the Plateau State Specialist Hospital Jos, who gave informed consent and submitted urine samples for the determination of prevalence of ASB using Cysteine Lactose Electrolyte Deficient (CLED) agar by the standard loop technique and microscopy. Demographic data was obtained by administering structured questionnaire to the study participants. Data obtained were analyzed using SPSS version 21and p values <0.05 were considered statistically significant. Out of 136 urine samples examined 10.3% were positive for ASB. Of the total ASB isolates, 71.4% was Escherichia coli, the most prevalent uropathogen, followed by Staphylococcus aureus (14.3%) while others were 14.2%. Age group 24-28 years had the highest prevalence 5.1% followed by 19-23 years age group with 2.2%. The lowest prevalence was age groups 29-33 and 34-50 years with prevalence of 1.5% each. In respect to trimesters, second and third trimester recorded the highest with 4.4% each while the first trimester had 1.5%. Based on the antibiogram, Ciprofloxacin and Sparfloxacin were found to be most effective antibiotics against Escherichia coli and Staphylococcus aureus. This study revealed high prevalence of ASB among antenatal women in the population studied. Further study with larger sample size covering the entire state is advocated to discover the possibility of making bacterial microscopy, culture and sensitivity part of antenatal care for the purpose of early diagnosis and proper management of pregnant women in plateau state.
The Impact of Computer Assisted Learning on Rural Taiwanese Children: Evidence from a Randomized Experiment

The effectiveness of educational technology (EdTech) in improving the outcomes of poor, marginalized students has primarily been documented by studies conducted in developing countries; however, relevant research involving randomized studies in developed country contexts is relatively scarce. The objective of the current study is to examine whether an in-school computer assisted learning (CAL) intervention can improve the math performance (the primary outcome) and academic attitudes (secondary outcomes) of rural students in Taiwan, including a marginalized subgroup of rural students called Xinzhumin. We also seek to identify which factors are associated with the effectiveness of the intervention. In order to achieve this, we conducted a randomized control trial involving 1,840 sixth-grade students at 95 schools in four relatively poor counties and municipalities of Taiwan during the spring semester of 2019. According to the ITT analysis, the O-CAL intervention had no significant ITT impacts on the primary outcome of student math performance as well as on most secondary outcomes of the overall treatment group (who on average used the software for only about one quarter of the protocol’s minimum required time of 30 minutes per week, indicating that compliance wa s low). However, the LATE analysis revealed significant improvements in the math performance of the 30% most active students in the treatment group (who used the software for about two thirds of the minimum required time). Effect sizes of active users overall (0.16 SD-0.22 SD) increased in accordance with increases in usage and were larger for active Xinzhumin users specifically (0.21 SD-0.35 SD). A wide range of student-level and (in particular) teacher-level characteristics were associated with the low compliance to the intervention, which are findings that may help inform educational policymakers and administrators of the potential challenges of introducing school-based interventions that depend heavily on teacher adoption and integration.
Democratization and Women's Representation in Presidential Cabinets: Evidence from East and Southeast Asia

This article examines patterns of women's cabinet representation across all presidential democracies in East and Southeast Asia since democratization. It demonstrates how the choice of female ministers differs across career backgrounds in presidential systems and further examines why young presidential systems in Asia are conducive to women's access to ministerial power through professional career tracks. We argue that despite women's successful performance in national legislative elections, women have been restricted to access the power resources necessary to target other political goals, such as cabinet positions, whereas democratic transition has provided broader avenues for women to emerge as professionals outside party politics. By analyzing original data on female ministers in East and Southeast Asia, the study finds that the share of women among professional ministers has increased over time, but women's share among political ministers has not changed significantly. Additionally, the different qualifications of female politicians and professionals also make them eligible for appointment to different types of policy areas in terms of prestige and gender. Our analysis suggests that women's cabinet representation has improved overall since democratic transition in Asia, but this improvement disguises contrasting outcomes in women's cabinet status according to their career backgrounds.
Dispersive Micro-solid Phase Extraction with Fibrous TiO2@g- C3N4 Nanocomposites Coupled with ICP-MS for the Determination of Cobalt and Nickel in Environmental and Biological Samples

In this work, fibrous TiO2@g-C3N4 nanocomposites (FTGCNCs) were used for dispersive micro-solid phase extraction of Co and Ni prior to their determination by inductively coupled plasma mass spectrometry. As a new adsorbent, the surface on FTGCNCs have rich functional groups such as –NH2, –NH– and =N–, which can selectively adsorb target ions. The adsorption behaviors of Co and Ni on FTGCNCs were investigated. The results indicated that the analytes were quantitatively retained on FTGCNCs in the pH range of 5.0-8.0 and eluted completely with 1.0 mL of 0.5 mol L HNO3 solution. The main factors influencing the preconcentration and determination of the analytes were investigated in detail, including the pH of the sample solution, dosage of adsorbent, extraction/elution time, elution parameters and sample volumes. Under the optimum conditions, the detection limits of this method were 0.12 pg mL and 1.34 pg mL for Co and Ni, respectively. The relative standard deviations were 3.9% for Co and 4.8% for Ni (n=9, c=1.0 ng mL). This method was used for the determination of trace/ultra-trace Co and Ni in environmental water samples with satisfactory results. In order to verify this method, three certified reference materials of stream sediment, human hair and mussel were analyzed using the proposed method, and the determined results were in agreement with the certified values.
MEAN TEACHER WITH SOUND SOURCE SEPARATION AND DATA AUGMENTATION FOR DCASE 2020 TASK 4

In this paper, we present our system for the DCASE 2020 challenge Task4(Sound event detection and separation in domestic environments). The target of this task is to provide time boundaries of multiple events in an audio recording using a system trained with unlabeled, weakly-labeled and synthetic data. Also, sound source separation is encouraged to use in the system. We pro-pose a mean-teacher model with convolutional and recurrent neural network(CRNN) structure and adopt data augmentation and sound source separation technique to improve the performance of sound event detection.
DEVELOPMENT AND IN-VITRO EVALUATION OF NANOSUSPENSION OF NEBIVOLOL HYDROCHLORIDE TO ENHANCE ITS SOLUBILITY FURTHER LOADED IN A MOUTH DISSOLVING FILM

The aim of this study was to develop and characterize Nebivolol hydrochloride (NBH)nanosuspension to enhance its dissolution rate and oral bioavailability. Nanosuspensions were prepared by the nanoprecipitation method. The effects of parameters such as the concentration of Nebivolol in the organic phase, the precipitation temperature, the solventantisolvent ratio and the time period of stirring on the particle size of nanosuspensions were investigated systematically, and the optimal value was 20 mg/ml, at room temp,1:30 and 15 min, respectively. The average particle size and zeta potential of nanosuspension were 197.6nmand−34.2mV (±6.01 mV), respectively. The morphology of nanosuspension was found to be ofregular morphology and rectangular in shape by scanning electron microscopy (SEM) observation. The X-ray powder diffraction (XRD) indicated that there was change in the nanosuspension compared with raw crystals i.e. crystalline drug changes into almost amorphous nature. FT-IR studies there is no chemical interaction between drug and excipients. The in-vitro dissolution rate of nebivolol was significantly increased by reducing the particle size.Exvivo studies shows adequate results.Selected formulation of film give suitable results in case of surface PH, folding endurance,disintegration test, drug content and drug release.Comparison studies show nanosuspension film gives faster and more drug release(93%). Stability studies also shown the acceptable results.
Maritime Trade and Economic Development: A Granger Causality and Bound Test Approach.

Abstract This paper investigates Maritime trade and economic development: A granger causality and Bound test approach. Most scholars believe that maritime trade openness will transform economy into a developed nation while some disagree. The main objective of this research is to examine the relationship between maritime trade and economic development; specifically, to ascertain whether maritime trade granger-causes economic development; and to determine whether there is a co-integration between maritime trade and economic development. The study used secondary data obtained from the Central Bank of Nigeria and the United Nations development Programme, and tested the effect of independent variables on a dependent variable. The variables were tested using Stationarity, heteroskedasticity, Ramsey reset, granger-causality and ARDL Bounds test at the 5% level of significance. The findings revealed that maritime trade proxy by trade openness had a significant effect on economic development captured by HDI and the ARDL Bound test showed a significant effect of trade openness on economic development. The study concludes that maritime trade granger-causes economic development with a Bi-directional causal relationship and significant co-integration exists between them; and recommends among others the provision of conducive environment and cheap funding by the government to encourage the growth of maritime trade.
Probabilistic Data-Driven Prognostic Methodology for Proton Exchange Membrane Fuel Cells

Hydrogen fuel cells, particularly proton exchange membrane fuel cells (PEMFC), are promising, robust, clean energy sources. However, their high cost and short lifespan under dynamic loads impedes their widespread usage. Accurate and real-time prognostics, especially remaining useful time (RUL) estimation, can help ameliorate the commercial viability of PEMFCs. Data-driven methods are increasingly considered for RUL estimation. This paper looks at two such methods – Gaussian Process Regression (GPR) and Long-Short Term Memory (LSTM) Networks and assesses them in terms of accuracy and suitability for real-time applications when tested against the IEEE PHM Challenge 2014 data set. Gaussian Process Regression is a non-parametric kernel method. LSTM, on the other hand, is a recurrent neural network based architecture that is effective at detecting both long term and short term trends in time series predictions. For the cases investigated here, the results derived using LSTM are more accurate, especially since they effectively capture long term trends. However, GPR assigns a probability to its prediction - a desirable aspect in a real-time setting so that corrective action can be applied appropriately. The paper then proposes the use of a variant of these methods - Gaussian Process-Long Short Term Memory Network (GP-LSTM) as an alternative that combines the higher accuracies of the LSTM method and the probabilistic output from GPR. The results attained using GP-LSTM are close in accuracy to the LSTM results and have a probability associated with them, making them suitable for real-time applications. The effectiveness of GP-LSTM is further proven using a dynamic data set and strategies are suggested to appropriately apply GP-LSTM to real-world scenarios.
Two-temperatures overlap distribution for the 2D discrete Gaussian free field

In this paper, we prove absence of temperature chaos for the two-dimensional discrete Gaussian free field using the convergence of the full extremal process, which has been obtained recently by Biskup and Louidor. This means that the overlap of two points chosen under Gibbs measures at different temperatures has a nontrivial distribution. Whereas this distribution is the same as for the random energy model when the two points are sampled at the same temperature, we point out here that they are different when temperatures are distinct: more precisely, we prove that the mean overlap of two points chosen under Gibbs measures at different temperatures for the DGFF is strictly smaller than the REM's one. Therefore, although neither of these models exhibits temperature chaos, one could say that the DGFF is more chaotic in temperature than the REM.
Clinical value and feasibility of ISET in detecting circulating tumor cells in early breast cancer

Background Patients with operable breast cancer have a better prognosis for recovery. However, once distant organ metastasis occurs, the chance of a long-term survival or a cure is limited. The collection and counting of circulating tumor cells (CTCs) by reliable detection techniques are of increasing importance in the diagnosis of early metastasis and prognosis of disease progression. Isolation by size of epithelial tumor cells (ISET) has the advantage of simplicity of operation and high homogeneity. It is practical for large-scale clinical detection showing cell abundance. The value of ISET in the detection of circulating breast cancers in the blood has not been determined. The purpose of this study is to explore the feasibility of applying ISET to detect CTCs by determining the detection rate of ISET in operable breast cancer and by evaluating the correlation between detection rate, cell count and clinical factors such as molecular typing and pathological staging. Methods The experiment included 193 breast cancer patients who were diagnosed by core needle biopsy before the operation. 10 mL of venous blood was collected from the patients preoperatively, and CTCs in their blood samples were counted and analyzed by ISET. Results Patients were divided into groups according to pathology and immunohistochemistry. The overall detection rate of CTCs by ISET was 41.24%. The detection rate, the number of overall CTCs and the average number of CTCs in each group were analyzed individually. No significant differences were observed between the different groups. Conclusions Although ISET has a relatively good detection rate for circulating breast cancer cells, it fails to provide more information on pathological staging, molecular classification and so forth.
Are the Effects of Work-related Extended Availability the Same for Everyone?

Work-related extended availability (WREA) describes a state of being available for work matters while physically being in a different life domain. There is ample evidence for the negative effects of WREA, but moderator effects of personal attributes have largely been neglected. The current study examined the impact of neuroticism and segmentation preferences on the relationship between WREA and psychological detachment, sleep problems, and emotional exhaustion. We assumed that WREA would be associated with all three criterion constructs and that these relationships would be moderated by neuroticism and segmentation preferences. These hypotheses were tested with multiple regression and moderated hierarchical regression analysis in a sample of 276 employees. While there was a significant association between WREA and detachment, WREA did not directly predict sleep problems or exhaustion. However, we found an indirect effect of WREA on sleep problems via detachment. Neuroticism and segmentation preferences moderated the association between WREA and exhaustion. While the association between WREA and detachment was robust, WREA predicted emotional exhaustion only for people high in neuroticism or with high segmentation preferences. We suggest that employees who prefer segmenting work and private life should be taken seriously and not be contacted in their leisure time.
The Effects of Audit Experience, Trust and Information Technology on the Professional Skepticism and Ability in Detecting Fraud by Internal Bank Auditors in Jakarta, Indonesia

-This study aims to (i) test and analyze the effect of audit experience of the internal auditors on the ability to detect fraud through professional skepticism; (ii) to test and analyze the effect of trust on the ability to detect fraud through professional skepticism; and (iii) to test and analyze the impact of information technology. This is explanatory study, which seeks to explain causality between the variables. Data were collected by using survey method based on selected non probability samples. The research study was conducted from April 2015 to February 2016 in Jakarta. The unit analysis is the internal auditors of banks located in Jakarta. By using proportional sampling criteria, the number of samples selected was 200 respondents. These respondents are the internal auditors from the government and the private banks. The instrument used to collect the data was by using questionnaires. These data are then analyzed quantitatively using Structural Equation Model (SEM). The study found that the audit experience has no significant effect on the ability of the internal auditors to detect fraud through professional skepticism, while trust has a significant effect on the ability to detect fraud through professional skepticism. Therefore, the internal auditors of banks should be given a trust in order to detect fraud.
Malnutrition and Associated Motor and Non-motor Factors in People with Parkinson's Disease.

BACKGROUND People with Parkinson's disease (PwP) are at higher risk of developing malnutrition. Several factors have been suggested to be involved including motor symptoms, non-motor symptoms, and treatment-related complications. OBJECTIVE The objective of the study was to analyze the combined effect of motor, non-motor, and pharmacological factors in the risk of malnutrition in PwP. METHODS Eighty-seven consecutive PwP were included in the study. Clinical data and pharmacological treatment were collected. Nutritional status was assessed using the Mini-Nutritional Assessment (MNA) questionnaire. Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS), Non-motor Symptoms Scale (NMSS), Hamilton Depression Rating Scale HAM-D, and Montreal Cognitive Assessment were applied. RESULTS Thirty (34.4%) PwP were at risk of malnutrition and seven had malnutrition (8%). Abnormal nutritional status was associated with lower education, higher MDSUPDRS Parts I, II, and III and total scores, and higher scores in the NMSS domain of sleep disorders and fatigue. MDS-UPDRS motor score remained as a determinant of abnormal nutritional status, defined as MNA < 23.5, with an odds ratio 1.1 (95% confidence interval 1.01-1.10, p = 0.02). CONCLUSION The main factor associated with nutritional status was severity of the motor symptoms as assessed by the MDS-UPDRS Part III. Non-motor symptoms and treatment-related complications were not associated with malnutrition.
Comparing the Effect of Steamed and Boiled Okra (Abelmoschus esculentus) on Fasting Blood Glucose among Type 2 Diabetes Mellitus Patients with Hypercholesterolemia

Background: Okra (Abelmoschus esculentus) is a vegetable with fiber, vitamin C and flavonoids that can delay emptying of the stomach and cause longer satiety based on the fiber contents so that calorie intake is reduced. The presence of vitamin C and flavonoids in okra acts as an antioxidant that can fight free radicals and detain oxidative stress caused by hyperglycemia. This study aimed to compare the effect of steamed and boiled okra on fasting blood glucose levels in patients of type 2 diabetes mellitus with hypercholesterolemia. Methods: The independent variables consisted of steamed and boiled okra and the dependent variable was fasting blood glucose level. Forty patients who suffered from type 2 diabetes mellitus and with hypercholesterolemia were enrolled and divided into three groups including the control group (G1), treatment group of G2 (boiled okra intervention as much as 40 g for 14 days) and G3 (steamed okra intervention as much as 40 g for 14 days). Results: A greater decrease in fasting blood glucose level was noted for boiled okra group when compared with steamed okra group among patients suffering from type 2 diabetes mellitus and with hypercholesterolemia. Conclusion: Administration of boiled and steamed okra as much as 40 g for 14 days was shown to reduce fasting blood glucose level among patients suffering from type 2 diabetes mellitus and with hypercholesterolemia.