Miracle-dz/UniFAR-FTUs huggingface dataset:
Repeated Testing in SARS-CoV-2 Infection

1. Leung JM, Yang CX, Tam A, et al. ACE-2 expression in the small airway epithelia of smokers and COPD patients: implications for COVID-19. Eur Respir J. 2020;55(5):2000688. 2. Lang AE, Yakhkind A. Coronavirus disease 2019 and smoking: how and why we implemented a tobacco treatment campaign [online June 17, 2020]. Chest, https://doi.org/10.1016/j.chest. 2020.06. 013. 3. Sebag SC, Bastarache JA,WareLB.Therapeuticmodulation of coagulation and fibrinolysis in acute lung injury and the acute respiratory distress syndrome. Curr Pharm Biotechnol. 2011;12(9):1481-1496. 4. Thachil J, Tang N, Gando S, et al. ISTH interim guidance on recognition and management of coagulopathy in COVID-19. J Thromb Haemost. 2020; 18(5):1023-1026. 5. Hioki H, Aoki N, Kawano K, et al. Acute effects of cigarette smoking on platelet-dependent thrombin generation. Eur Heart J. 2001;22(1):56-61. 6. Chakladar J, Shende N, Li WT, Rajasekaran M, Chang EY, Ongkeko WM. Smoking-mediated upregulation of the androgen pathway leads to increased SARS-CoV-2 susceptibility. Int J Mol Sci. 2020;21(10):3627. 7. Velavan TP, Meyer CG. Mild versus severe COVID-19: laboratory markers. Int J Infect Dis. 2020;95:304-307. 8. Rao K, Babu SG, Shetty UA, Castelino RL, Shetty SR. Serum and salivary lactate dehydrogenase levels as biomarkers of tissue damage among cigarette smokers. a biochemical study. Stomatologija. 2017;19(3):91-96. 9. Lee CH, Goag EK, Lee SH, et al. Association of serum ferritin levels with smoking and lung function in the Korean adult population: analysis of the fourth and fifth Korean National Health and Nutrition Examination Survey. Int J Chron Obstruct Pulmon Dis. 2016;11:3001-3006. 10. Otsuka T, Kawada T, Seino Y, et al. Relation of smoking status to serum levels of N-terminal proebrain natriuretic peptide in middle-aged
Screening of antibacterial activities of Bacillus spp. isolated from the Parangkusumo coastal sand dunes, Indonesia

Background: The emergence of multidrug-resistant bacteria because of poor understanding of the issue and the misuse of antibiotics has become global health concern. Therefore, the discovery of novel antibacterial drugs is urgently needed. New antibacterial compounds may be found in the Bacillus species, which are abundant in sand dune ecosystems. Herein, we examined samples from the Parangkusumo coastal sand dunes in Indonesia.Methods: Samples were collected from three areas in the sand dunes (the area closest to the sea, the core area of sand dunes, and the area farthest from the sea). The samples were inoculated on Luria Bertani agar. Morphological and molecular identification was performed on the basis of 16S rRNA. The samples’ antimicrobial activity was evaluated with the disc diffusion method and compared with that of opportunistic pathogenic bacteria.Results: Five species of Bacillus were successfully isolated from the Parangkusumo coastal sand dunes. To our knowledge, this is the first report of the isolation of Bacillus aryabhattai in Indonesia. All samples showed antimicrobial activity against pathogenic bacteria. B. velezensis and B. subtilis showed antibacterial activity against Gram-positive bacteria, whereas B. aryabhattai and B. megaterium showed antibacterial activity against Gram-negative bacteria, and B. spizizenii showed antibacterial activity toward Gram-positive and Gram-negative bacteria.Conclusion: Five Bacillus species were successfully isolated from the Parangkusumo coastal sand dunes, Indonesia, and all samples showed antimicrobial activity toward opportunistic pathogenic bacteria. The crude antimicrobial compounds from B. megaterium, B. aryabhattai, B. subtilis, and B. spizizenii showed the highest growth-inhibition activity against E. coli, P. aeruginosa, B. cereus, and S. aureus, respectively.
Smoking, glutathione S transferase polymorphisms (GSTM1 & GSTT1) and their association with selected inflammatory biomarkers

: Introduction: In the United States (US) & other countries cigarette smoking (CS) continues to be the more preventable cause of disease and death. Glutathione S-transferase (GST) enzyme is implicated in the detoxification of carcinogens present in tobacco smoke and consequent polymorphisms in this gene may confer susceptibility to systemic diseases if DNA damage is important in various diseases. The presences of a gene-deletion polymorphism have shown by genetic studies on GSTT1 & GSTM1 . Elevated tumor necrosis factor alpha (TNF α ) & high sensitivity c-reactive protein (hs-CRP) has been increasingly used as a surrogate marker of systemic inflammation in diverse conditions. Lipoprotein (a) Lp(a) is a low-density lipoprotein (LDL)- like plasma lipoprotein composed of apolipoprotein B (apoB) and a large glycoprotein termed apolipoprotein (a) [apo (a)]. We investigated the associations of GST (M1 or T1 ) genotypes, exposure to smoking, and their interaction with selected markers of inflammation. Materials & Methods: The present study was carried out in the Department of Biochemistry, Santosh Medical College, Ghaziabad. Estimation was done including serum TNF- α by ELISA, hs-CRP & Lp(a) by turbidimetric immunoassay. DNA was extracted from serum and the GSTM1 and GSTT1 polymorphisms were determined using a simple polymerase chain reaction (PCR). Results: Out of total 284 cigarette smokers, GSTT1 gene was present in 51.1% & absent in 48.9% subjects whereas GSTM1 gene was present in 59.9% & absent in 40.1% subjects as compared to age & sex matched non cigarette smokers. These differences were found to be statistically significant ( p <0.05). The mean serum TNF-α , Lp(a) & hs-CRP levels were significantly raised in cigarette smokers as compared to non-smokers. These differences were found to be statistically significant ( p < 0.05). Conclusion: In conclusion, the finding of a significant association between inflammatory markers, GSTM1 and T1 with smoking status may influence systemic diseases including cardiovascular diseases via DNA damage.
s uccess D eTermInanTs of Pen I nnovaTIon P arTnershIPs beTween c ar m anufacTurers anD s TarT u In g

In a context of saturated markets, increasing price pressure, growing competition, changing preferences and consumption patterns, the automotive industry is evolving into a diversified mobility industry. This disruptive transformation challenges German car manufacturers to reinvent themselves and innovate in diverse directions. Since loose open-innovation (OI) partnerships with start-ups offer manufacturers not only flexibility but, more importantly, cutting-edge expertise from outside the traditional industry, they have become the partner of choice since 2010. Although incumbent-start-up partnerships are on the rise, the current literature scarcely addresses the challenges that arise from innovation cooperation with such disparate partners. Therefore, this study attempts to identify the success determinants to provide practitioners with guidance and contribute to close current gaps in literature. Based on a qualitative research design, in form of semi-structured expert interviews, key barriers and drivers concerning leadership, work methods, culture and intellectual property were identified. Considering the start-up´s, the incumbent´s and the interface´s perspectives, the paper provides a conceptual framework that illustrates the interrelations and challenges in open innovation partnerships. The start-up´s group expertise and maturity turned out to be a major driver for initiating collaboration. The key collaborative success drivers are agile work methods, the group´s internal cultural transformation, the interface´s autonomy, and a solid level of trust and openness between the involved parties. Besides practical recommendations, derived by the identified success factors, the paper constitutes a theoretical basis for further research.
A Comprehensive Analysis of PMI-based Models for Measuring Semantic Differences

The task of detecting words with semantic differences across corpora is mainly addressed by word representations such as word2vec or BERT. However, in the real world where lin-guists and sociologists apply these techniques, computational resources are typically limited. In this paper, we extend an existing simultaneously optimized model that can be trained on CPU to perform this task. Experimental re-sults show that the extended models achieved comparable or superior results to strong base-lines in English corpora and SemEval-2020 Task 1, and also in Japanese. Furthermore, we compared the training time of each model and conducted a comprehensive analysis of Japanese corpora. 1
ORTHOGRAPHIC PERFORMANCE PROFILE OF STUDENTS WITH DYSLEXIA AND LEARNING DIFFICULTIES

: It is described in the literature that students with specific learning difficulties and disorders may present difficulties in the spelling appropriation of the Brazilian Portuguese writing system, however little is discussed about which errors are most committed by these populations. Thus, this study aimed to characterize and compare the orthographic performance of students with Dyslexia, Learning Disabilities and good academic performance. 75 school children participated, from 9 to 11 years old, divided into 3 groups and matched by diagnosis and school year. Spelling was evaluated by dictating words and pseudowords based on the semiology of errors. The results were compared statistically by the Kruskal-Wallis test adjusted by the Bonferroni Correction, where it was possible to observe that the spelling profile of students with dyslexia and learning difficulties are similar, while the profile of students with good academic performance differs from the other groups, also concluding that the Pseudowords Dictation test is the best to differentiate students with Dyslexia of students with learning difficulties and good academic performance.
The Affordance of Computer-Supportive Collaborative Learning in a Dynamics Course

Jeffrey F. (Jeff) Rhoads is a Professor in the School of Mechanical Engineering at Purdue University and serves as the Director of the Ray W. Herrick Laboratories and the Director of Practice for MEERCat Purdue: The Mechanical Engineering Education Research Center at the same institution. He previously served as the Associate Director of PERC: The Purdue Energetics Research Center. Dr. Rhoads received his B.S., M.S., and Ph.D. degrees, each in mechanical engineering, from Michigan State University in 2002, 2004, and 2007, respectively. Dr. Rhoads’ current research interests include the predictive design, analysis, and implementation of resonant micro/nanoelectromechanical systems (MEMS/NEMS) for use in chemical and biological sensing, electromechanical signal processing, and computing; the thermomechanics of energetic materials (including explosives, pyrotechnics, and propellants); additive manufacturing; and mechanics education. Dr. Rhoads is a Member of the American Society for Engineering Education (ASEE) and a Fellow of the American Society of Mechanical Engineers (ASME), where he serves on the Design Engineering Division’s Technical Committee on Vibration and Sound. Dr. Rhoads is a recipient of numerous research and teaching awards, including the National Science Foundation’s Faculty Early Career Development (CAREER) Award; the Purdue University School of Mechanical Engineering’s Harry L. Solberg Best Teacher Award (three times), Robert W. Fox Outstanding Instructor Award, B.F. S. Schaefer Outstanding Young Faculty Scholar Award, Charles B. Murphy Award, and Ruth and Joel Spira Award; the ASEE Mechanics Division’s Ferdinand P. Beer and E. Russell Johnston, Jr. Outstanding New Mechanics Educator Award; and the ASME C. D. Mote Jr., Early Career Award. In 2014, Dr. Rhoads was included in ASEE Prism Magazine’s 20 Under 40. To date, he has authored more than 125 peer reviewed journal and conference publications and with his colleagues has conduct more than $47M in sponsored research with industry, the National Science Foundation, and the United States Departments of Defense, Energy, and Homeland Security. Dr. Rhoads also serves as the Chief Operating Officer of two start-up entities: Level 6 Engineering LLC and Next Offset Solutions, Inc.
GROWING ISSUE OF LATE MARRIAGES IN PAKISTAN: A QUALITATIVE STUDY

Since the mid-1980s, the average age of first marriage has risen to roughly 25 years in various East and Southeast Asian countries. Pakistan is one of the South Asian countries where late marriages are becoming more common and therefore exploring the reasons for delayed marriages is worth investigating. Hence, the current study typically focuses on exploring factors undertaken while making decisions for marriage, explaining delayed marriages in Pakistan. Purposive sampling was used to select 14 participants and semi-structured interviews were conducted and analysed using IPA. The results highlighted key themes which include; physical/personal, financial, familial sociocultural factors, along with key demographic factors (education of women, caste system, and family size). Appearance and effective distinctiveness were also considered important among the personal/physical aspects based themes of the study, while in financial factors, the key codes were inability to find a good match due to financial requirements, dowry, status quo, and comparisons with relatives. The findings of this study will contribute to a better understanding of delayed marriageability in societies with collectivist cultures, like Pakistan. The results of this research will help family counsellors to assist parents on how to make successful decisions timely to end the social problem of late marriages. ASEAN Journal of Psychiatry, Vol. 23(2) February, 2022; 1-13.
The Morphological Growth Response of Immature Oil Palm on Single Fertilizer (N, P and K)

: One of the factors thattakes an important role in crop productivity is fertilization, especially in an immature plant (TBM). The goal of this research is to study the morphological response of immature oil palm plants as result ofthe single fertilizer N, P and K. Treatment designuses RandomizedCompletely Block Design (RCBD). The applied treatment consists of 4 treatments, controltreatment (basic fertilizer) and threetreatments of single fertilizer combination. Each treatment is repeated three times so that the total unit tests are 12 plants. The observation of plant morphology includes: plant height, stem circumference, the number of leaf midrib, the ninth midrib leaf length, and the ninth stem leaf width . The results show that the single fertilizer treatment does not have a significant effect on plant height, stem circumference, the number of leaf midrib, the ninth midrib leaf length, the ninth stem leaf width on the palm in 1-3 Months After Treatment (MAT). Nevertheless, the effect of the treatment shows that the higher single dosage package of fertilizer (PT1, PT2 and PT3) is applied,the more increasing the plant height is. The highest growth increase occurs on the stem circumference and the ninth leaf width, that is 31.51% and 26.32%; wider than the control.
The Close AGN Reference Survey (CARS)

Context. Active galactic nuclei (AGN) are thought to be intimately connected with their host galaxies through feeding and feedback processes. A strong coupling is predicted and supported by cosmological simulations of galaxy formation, but the details of the physical mechanisms are still observationally unconstrained. Aims. Galaxies are complex systems of stars and a multiphase interstellar medium (ISM). A spatially resolved multiwavelength survey is required to map the interaction of AGN with their host galaxies on different spatial scales and different phases of the ISM. The goal of the Close AGN Reference Survey (CARS) is to obtain the necessary spatially resolved multiwavelength observations for an unbiased sample of local unobscured luminous AGN. Methods. We present the overall CARS survey design and the associated wide-field optical integral-field unit (IFU) spectroscopy for all 41 CARS targets at z < 0.06 randomly selected from the Hamburg/ESO survey of luminous unobscured AGN. This data set provides the backbone of the CARS survey and allows us to characterize host galaxy morphologies, AGN parameters, precise systemic redshifts, and ionized gas distributions including excitation conditions, kinematics, and metallicities in unprecedented detail. Results. We focus our study on the size of the extended narrow-line region (ENLR) which has been traditionally connected to AGN luminosity. Given the large scatter in the ENLR size–luminosity relation, we performed a large parameter search to identify potentially more fundamental relations. Remarkably, we identified the strongest correlation between the maximum projected ENLR size and the black hole mass, consistent with an RENLR,max ∼ MBH0.5 relationship. We interpret the maximum ENLR size as a timescale indicator of a single black hole (BH) radiative-efficient accretion episode for which we inferred 〈log(tAGN/[yr])〉 = (0.45 ± 0.08)log(MBH/[M⊙]) + 1.78−0.67+0.54 using forward modeling. The extrapolation of our inferred relation toward higher BH masses is consistent with an independent lifetime estimate from the He II proximity zones around luminous AGN at z ∼ 3. Conclusions. While our proposed link between the BH mass and AGN lifetime might be a secondary correlation itself or impacted by unknown biases, it has a few relevant implications if confirmed. For example, the famous AGN Eigenvector 1 parameter space may be partially explained by the range in AGN lifetimes. Also, the lack of observational evidence for negative AGN feedback on star formation can be explained by such timescale effects. Further observational tests are required to confirm or rule out our BH mass dependent AGN lifetime hypothesis.
Responses to reviews for manuscript Global Transition Rules for Translating Land-use Change (LUH2) To Land-cover Change for CMIP6 using GLM2

Reviewer 3: The manuscript entitled Global Transition Rules for Translating Land-use Change (LUH2) To Land-cover Change for CMIP6 using GLM2 by Ma et al. aims at recommending a global transition rule for translating LUH2 land-use forcing into land-cover changes in CMIP6 models. The authors simulate land-use induced land-cover changes based on a set of translation rules using the GLM2 model and prescribed LUH2 land-use transitions. Subsequently, emerging present-day forest cover, biomass density, and LUC emissions are evaluated against published estimates. The authors conclude by recommending a rule where all vegetation is cleared upon cropland/pasture expansion and only forest vegetation is cleared upon rangeland expansion. The paper is technically correct, well written, timely in providing recommendations how to translate land-use forcing into land-cover changes for CMIP6 and the content is generally suitable for publication in GMD. I am wondering, however, if the conceptual design of the study is valid in the context of the large uncertainties that exist in the reconstruction of historical land use. Likewise, I do not think that the main conclusion (‘optimal’ rule being rule 1) is supported by the results presented. The wording (‘optimal transition rule’, ‘accurate quantification’, […]) is not suitable in the context of large uncertainties. Rather than claiming an ‘optimal’ transition rule, I suggest a framing towards recommending a ‘consistent’ translation rule for implementation of land use in ESMs/DGVMs. A consistent treatment in ESMs/DGVMs would eliminate added uncertainty and complexity from different treatment in each model. If this is ‘optimal’ (or and ‘optimal’ global rule even exists), is difficult to judge with available data and not shown by the contents of this manuscript. The reproducibility of the analysis presented is questionable, especially as neither the code of GLM2 (though stated in the code and data availability section) nor any documentation of the model is publicly available at the moment. Response: comments the manuscript. We have revised the manuscript changing word
Impact of Inflation on Unemployment in Nigeria (1985-2019): A Non-Linear Approach

- This study examines the impact of inflation on unemployment in Nigeria from 1985 to 2019.In analyzing the data, nonlinear autoregressive distributive lag (NARDL) was employed. The result of the nonlinear ARDL shows that in the short-run inflation (positive) has a negative and significant effect on unemployment while inflation (negative) has a positive and significant impact on unemployment. Similarly, in the long run, inflation (positive) has a negative and significant effect on unemployment. The study concludes that there is a piece of empirical evidence for the existence of the nonlinear Phillips curve in Nigeria, within the period of the study. It is recommended that the government should reduce the positive rise in price by implementing policies that encourage production. An increase in agricultural production for example increases the level of employment which has great potential to boost food supply and reduce the level of inflation and unemployment in the economy. In addition, the study identifies the benefits and inherent potentials in natural resources in Nigeria that can be harnessed to address the problem of inflation and unemployment. Abstract- This study examines the impact of inflation on unemployment in Nigeria from 1985 to 2019. In analyzing the data, nonlinear autoregressive distributive lag (NARDL) was employed. The result of the nonlinear ARDL shows that in the short-run inflation (positive) has a negative and significant effect on unemployment while inflation (negative) has a positive and significant impact on unemployment. Similarly, in the long run, inflation (positive) has a negative and significant effect on unemployment. The study concludes that there is a piece of empirical evidence for the existence of the nonlinear Phillips curve in Nigeria, within the period of the study. It is recommended that the government should reduce the positive rise in price by implementing policies that encourage production. An increase in agricultural production for example increases the level of employment which has great potential to boost food supply and reduce the level of inflation and unemployment in the economy. In addition, the study identifies the benefits and inherent potentials in natural resources in Nigeria that can be harnessed to address the problem of inflation and unemployment.