Miracle-dz/UniFAR-FTUs huggingface dataset:
Minimalistic probes for protein folding and structure studies

Site-specific incorporation of fluorescent probes into proteins enhances the ability of researchers to study protein folding and structural dynamics. Currently, the most common fluorescent probe for proteins is green fluorescent protein (GFP). However, the use of GFP, a 28 kDa protein, requires its covalent attachment to a protein of interest. Additionally, this attachment is restricted to either the Nor C-terminus of the protein, drastically limiting the scope of experiments possible. Alternative technologies for the addition of novel fluorescence properties to proteins exist, however they are also limited by the probe size or its method of attachment. Since many proteins of interest are less than or equal to the size of these fluorescent auxiliaries, it is likely that the covalent fusion of the fluorescent apparatus will significantly perturb the native fold or function of the molecule of interest. As such, the development of minimalistic probes for protein functional studies is of great interest to the biochemical community. Acridon-2-ylalanine (Acd) is a minimalistic fluorescent unnatural amino acid (flUAA) that possess a long lifetime, resistance to photobleaching, a near unity quantum yield, and visible wavelength emissions. While there existed literature precedent for the synthesis of Acd, these methods required harsh conditions and reagents that precluded a high-yielding, scalable synthesis of the flUAA. To this end, we have devised an efficient, scalable 5-step synthesis utilizing Tyr that yields Acd in 87 % overall yield. Recently, we have shown that Acd can be incorporated into proteins in vivo and can be a valuable probe of protein-peptide interactions and protein conformational change due to its blue-wavelength excitation, unique solvatochromic properties, and ability to participate in energy transfer with endogenous amino acids (Trp and Tyr), exogenous fluorophores (methoxycoumarin), and the lanthanide ion Eu3+. Furthermore, as the need for minimalistic probes is not limited to fluorescence applications, we have collaborated with the Deutsch laboratory to develop methods for the synthesis of unnatural amino acids capable of probing the interaction between the ribosomal exit tunnel and nascent peptides. Degree Type Dissertation Degree Name Doctor of Philosophy (PhD) Graduate Group Chemistry First Advisor Ernest J. Petersson
Effect of Applying Potassium Phosphite with Potassium Fulvate on Plant Growth

A pot experiment was conducted to study the response of squash (cucurbita pepo L.) to potassium phosphite and potassium fulvate as single treatments or in a combination with each other. The treatments included: potassium phosphite as a single treatment at four concentrations (C1: 0, C2: 0.1, C3: 0.2 and C4: 0.4 ml plant-1), potassium fulvate as a single treatment at four concentrations (C1: 0, C2: 6, C3: 9 and C4: 12 kg fed-1), and the combined treatment of potassium phosphite with potassium fulvate at four concentrations (C1:0, C2: 0.05+3, C3: 0.1+4.5 and C4: 0.2 ml plant-1+6 kg fed-1, respectively using soil and foliar applications. The results indicated that the combined treatment of potassium phosphite with potassium fulvate was more effective in increasing of all investigated parameters. At the flowering stage, the highest values of fresh weight (214.96g), dry weight (13.31g), plant length (70.83cm), total leaf area (2547.12cm2) and the nutrients concentrations of (N, P and K%) (5.17,0.72 and 6.50%) were achieved with the combined treatment at C3 using soil application. At the harvesting stage, the highest values of fresh, dry weigh, total leaf area and (N, P and K) were 346.87g, 29.00g, 4720.56cm2 and (3.95, 0.62 and 4.43%), respectively, using the combined treatment at C2 as soil application, while the value of plant length was (88.67cm) with the combined treatment at C3 using soil application. The highest values of total yield, dry weight and the characteristics of squash fruit (length, diameter and weight) were 475.67g,19.13g and (16.30cm, 3.63cm and 115.95g), respectively using the combined treatment as foliar application at C3, the combined treatment at C2 as soil application gave the highest values of N,P and K in fruits, these values were 4.12,0.71 and 5.99%. Also, the highest values of available N, P and K mg kg-1 and OM content gkg-1 were 70.70, 12.83 and 423.73 mg kg-1 and 13.5 gkg-1, respectively with the combined treatment at C4 using soil application.
Experimental Demonstration of High-Dimensional Quantum Steering With N Measurement Settings

Rui Qu, Yunlong Wang, 2 Min An, Feiran Wang, Hongrong Li, 2 Hong Gao, 2 Fuli Li, 2 and Pei Zhang 2, ∗ MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi’an Jiaotong University, Xi’an 710049, China Shaanxi Key Laboratory of Quantum Information and Quantum Optoelectronic Devices, School of Physics, Xi’an Jiaotong University, Xi’an 710049, China School of Science, Xi’an Polytechnic University, Xi’an 710048, China (Dated: January 13, 2021)
Public Bike Sharing Programs Under the Prism of Urban Planning Officials: The Case of Santiago de Chile

Background: Public bike-sharing schemes have gained enormous popularity worldwide. However, so far most of the research has focused on issues regarding the functioning of these schemes in cities, with little attention on how these systems are perceived and managed by urban planning authorities, which is the aim of this paper. Methods: The analysis is set in Santiago, a highly segregated city composed of 37 independent districts. Two focus groups with urban planning authorities belonging to districts with and without functioning bike-sharing schemes were conducted. Information was processed using a thematic analysis framework, which permitted to reduce, reorganize, and analyze these testimonial data. Results: The main results show that bike-sharing schemes are perceived as being part of a larger phenomenon related to the city’s socio-economic differences. A series of issues emerged that are related to urban planning authorities limitations in terms of governance and availability of planning instruments and strategies to cope with contrasting realities of the city. It was noted that bike-sharing schemes are helping to improve a neighborhood image, while, at the same time, promoting contemporary and cosmopolitan lifestyles. However, the functioning of bike-sharing schemes also is a reminder of the fragmented and dysfunctional governance of Santiago.
Les parcours de transition d'Ungersheim : Être aspiré par le chaos des crises ou emprunter des trajectoires de résiliences

Une lecture systémique des événements auxquels la commune d’Ungersheim a été confrontée donne accès à une compréhension du fonctionnement de cette collectivité en situation de crise. Les éléments des contextes géographiques et historiques situent le cadre dans lequel elle évolue au cours des vingt dernières années. Des stratégies mises en place par Jean-Claude Mensch, maire d’Ungersheim, ont permis d’opérer une succession d’ajustements. Ceux-ci ont contribué à faire échec et mat à l’effondrement au bénéfice d’une mutation. La cohérence entre la vision et les actions initiées ainsi qu’une règle mythique enracinée apparaissent constituer un élément déterminant, même en situation de turbulences. Ungersheim permet de découvrir les voies de résilience d’une collectivité. Cette commune s’inscrit dans le mouvement de la transition initiée par Hopkins et propose des voies non pas pour échapper aux crises mais plutôt pour les affronter.
Studies on Data Quality Evaluation Index System for Internet Plus Government Services in Big Data Era

This paper studies and analyzes the related theories of data quality and data quality of Internet plus Government Services in big data era, summarizes and references the data quality evaluation indexes at home and abroad, puts forward the primary and secondary indexes suitable for evaluating the data quality of Internet plus Government Service in big data era in China, and constructs a scientific, systematic, developmental and operable data quality evaluation index system. The index system determines, according to the characteristics of big data, 5 primary data quality evaluation indexes (inherent quality of data, quality of data expression, situation quality related to the system, utility quality of data, and user experience quality of data) and 10 secondary data quality evaluation indexes. The construction of the system provides an effective data quality evaluation tool for government departments. Through data quality evaluation, relevant data quality problems can be found, analyzed and improved, which is conducive to improving the level of data quality.
Hubungan Smoking Media Literacy dengan Status Merokok Siswa Menengah Atas

ABSTRAKLatar Belakang. Paparan media dapat mempengaruhi inisiasi remaja untuk merokok. Konsep literasi media (smoking media literacy [SML]) dikembangkan sebagai strategi dalam pengendalian tembakau berbasis sekolah.Tujuan. Untuk mengetahui hubungan SML dengan status merokok siswa SMA negeri di wilayah Kecamatan Purwakarta Kabupaten Purwakarta.Metode. Penelitian ini merupakan penelitian kuantitatif dengan desain cross-sectional yang dilaksanakan pada April-Mei 2018 di Kecamatan Purwakarta Kabupaten Purwakarta. Data dikumpulkan dengan kuesioner yang diisi sendiri oleh responden yang berjumlah 310 siswa-siswi SMA negeri. Analisis multivariat dilakukan dengan uji regresi logistik ganda. Variabel yang dikontrol dalam analisis adalah jenis kelamin, pendidikan orang tua, parenting, orang terdekat yang merokok (orang tua, saudara kandung, dan teman sebaya), capaian prestasi di sekolah, depresi, self-esteem, sifat memberontak, dan sifat mencari sensasi.Hasil. Hasil penelitian menunjukkan bahwa terdapat 14,2% responden yang berstatus merokok. Nilai rata-rata skor SML responden adalah 68,94 (dalam skala 100). Hasil regresi logistik ganda menunjukkan bahwa ada hubungan bermakna antara SML dengan status merokok setelah jenis kelamin, saudara yang merokok, teman sebaya yang merokok, capaian prestasi di sekolah, dan sifat memberontak dikendalikan (nilai p=0,048; CI=1,008-7,085). Kesimpulan. Pemahaman siswa SMA tentang literasi media masih rendah, dan SML berhubungan dengan status merokok siswa. ABSTRACTBackground. Media exposure is a very influential factor in the initiation of adolescents to smoke. Therefore, media literacy (smoking media literacy [SML]) was developed as a school-based tobacco control strategy. Objective. The purpose of this research was to examine the relation of SML with the smoking status of high school students in Purwakarta Regency Method. This research used quantitative research with a cross-sectional design conducted in April-May 2018 in Purwakarta Regency. Data were collected by self-administered questionnaires from 310 students of public senior high school. Data were analyzed using logistic regression test. Statistical adjustments were made for gender, parental education, parenting, smoking status of parents, siblings, and peers, school performance, depression, self-esteem, rebellion, and sensation seeking character.Results. There were 14.2% smokers among respondents. The mean of SML score was 68.94 (on a scale of 100). The result of logistic regression showed that there was a significant correlation between SML and smoking status with adjustment by sex, the sibling who smokes, peers who smoke, school achievement, and rebelliousness (p-value=0.048; CI=1.008-7.085). Conclusions. High school students' understanding of media literacy was still low, and SML was related to students' smoking status.
Hyperspectral Image Visualization Using Multiscale Fusion

Hyperspectral satellite sensors yield images of excessive spectral resolution that contains an abundance of spectral channels enclosing infrared and visible wavelengths. Hyperspectral imaging can supply very high spectral resolution enabling in-depth research of the scene in comparison with an ordinary image. The advanced techniques of spectral imaging find use in the area of remote sensing, agriculture, medical diagnosis, forensic medicine, etc. The operations on hyperspectral data are generally completed via assuming it as a three-dimensional data which is highly complex. So the efficient dimension reduction technique is an essential research place, due to the wealth of information HSI provides. The visualization technique targets constructing an efficient RGB image which enables us to drain the complete data effortlessly via employing band segmentation and average fusion-based dimension reduction with the aid of the multi-scale fusion-based decolorization algorithm to produce perceptually accurate versions of the dimension reduced image.
Sales Forecast Based on Fine-grained Sentiment Analysis of Pro duct Reviews

: With the rapid development of Internet and e-commerce, online shopping has become the mainstream way of shopping, and product reviews have also become the reference basis for potential consumers' purchase decisions, affecting the sales of products. Product sales forecast is an important basis for enterprise procurement. Taking restaurant reviews as an example, this paper uses fine-grained sentiment analysis model to identify the sentiment tendency of each aspect of products in reviews, constructs fine-grained sentiment index, and proposes a sales forecasting model based on sentiment index. Through the experimental verification, the sales forecast model with sentiment index improves the accuracy of sales prediction.
Top Management Overhaul and the Audit Quality of Chinese State-Owned Enterprises

: As the opening and reform of Chinese economic going further, more state-owned enterprises went on listing and went under the supervision under independent auditors. The thesis is bound for evaluating the effect of state-owned top management on the audit quality of state-owned listing firms. We found support for the theory that top management overhaul can negatively affects the audit quality through the path of a series of perspectives. This research is made through the case study of HengXin Estate chosen from the SOE audit quality relative cases within 2010 to 2020.
Lower executive functioning predicts steeper subsequent decline in well-being only in young-old but not old-old age

Objectives: From a longitudinal perspective, the direction of the relationship between cognitive functioning and well-being in old age, both conceptually and empirically, is still under debate. Therefore, we aimed to disentangle the different longitudinal relationship patterns proposed and whether those differed between young-old and old-old adults. Methods: We used latent change score modeling based on longitudinal data from 1,040 older adults (M = 74.54 years at Time 1 [T1], median = 73 years) to analyze reciprocal lead–lag relationships over 6 years in executive functioning (trail making test [TMT] completion time) and well-being (life satisfaction), taking into account chronological age, sex, education, leisure activities, and chronic diseases. Results: In young-old adults (<73 years), longer TMT completion time at T1 (i.e., lower executive functioning status) significantly predicted steeper subsequent decline in well-being. This was not the case for old-old adults (≥73 years), for whom this relationship was significantly different from that of the young-old (moderation effect). In either group, well-being status at T1 did not predict changes in TMT completion time. Discussion: Lower executive functioning may predict a subsequent decline in well-being in young-old adults only. Wider implications in a context of promotion of healthy aging are discussed.
Ireine’s Education Model to Improve Tooth Brushing Skills in Preschool Children

Dental and oral health problems in preschool children i.e. Early Chilhood Caries (ECC) is amounted to 90.05%. This is because the children have not been able to do the tooth brushing activities on their own. The modified Ireine’s Education Model reflects a model of change in dental hygiene behavior of preschool children in the habit of tooth brushing from an early age. Its aim is to improve the tooth brushing skills of preschool children with guidance from their teachers and parents. The aim of generating modified Ireine's Education Model is as an effort to improve the tooth brushing skills of preschool children. The study method Research and Development (R & D) with Quasy experiment. The subjects of the preschool children were divided into 2 groups: Intervention group with the modified Ireine's Education Model which was done for 21 days and control group with Phantom Media. The independent variable in this research is the modified Ireine's Education Model, while the dependent varibale is tooth brushing skills in preschool children. The data was tested using Intraclass corelation test coefficient, Anova, Shapiro Wilk, Wilcoxon, and Mann Whitney. The result indicates that the modified Ireine's Education Model is more effective raises the free score of preschool children plaque with p-value in less than 0.001. Furthermore, it improves their tooth brushing skills with p-value in less than 0.010 compared to the control group. In conclusion, the modified Ireine's Education Model is more effectively improves the skills of brushing in preschool children as opposed
The Neural Correlates of Consciousness

Our understanding of the neural basis of consciousness has substantially improved in the last few decades. New imaging and statistical techniques have been introduced, experiments have become more sophisticated, and several unsuccessful hypotheses have been quite conclusively ruled out. However, neuroscientists still do not entirely agree on the critical neural features required for sustaining perceptual conscious experiences in humans and other primates. This chapter discusses a selection of influential views of the neural correlates of consciousness and the predictions they make. By highlighting some neurobiological and computational modelling results, it will be argued that the currently available evidence favors a hierarchical processing architecture that confers a crucial, if subtle and specific, role to prefrontal cortex.
Association between hypoalbuminemia and hypophosphatemia with malnutrition in patients with chronic renal disease undergoing hemodialysis

Cite as: Edwin Castillo-Velarde, Gloria Montero-Pacora, Sandra García-Llajaruna. Association between hypoalbuminemia and hypophosphatemia with malnutrition in patients with Chronic Renal Disease undergoing hemodialysis. Rev. Fac. Med. Hum. July 2020; 20(3):381-387. DOI 10.25176/ RFMH.v20i3. 2968 ABSTRACT Introduction: Malnutrition in hemodialysis patients is a consequence of various deficiency and hypercatabolic factors and constitutes a risk factor for morbidity and mortality. Objective: Determine the association between hypoalbuminemia and hypophosphatemia with the Subjective global assessment (SGA) C in patients with chronic renal disease on hemodialysis. Methods: Analytical crosssectional study. Patients from the hemodialysis service of the Hospital Guillermo Almenara were studied. The Kruskal-Wallis test and multiple comparisons test were used for the association between continuous variables of malnutrition and the types of SGA. The square-chi test was used for the categorical variables hypoalbuminemia (≤3.5 g/dL) and hypophosphatemia (<3 mg/dL). The association with SGA C was analyzed. Results: 131 patients were included and the median age was 63 years. 34% had hypoalbuminemia, 27% had hypophosphatemia and 14% had SGA C. 52% (68) of the patients presented alteration of at least one analyzed biomarker. Differences were found between SGA and albumin (p<0.001) and phosphorus (p=0.040). Patients with SGA C had a mean albumin of 3.1±0.74 and phosphorus of 2.88±1.54 and had a significant difference compared to those with SGA A (p<0.001 and P = 0.011, respectively). Chi-square analysis also demonstrated a significant association between SGA and hypoalbuminemia (p = 0.017) and hypophosphatemia (p=0.050). Conclusion: There is an association between SGA C and hypoalbuminemia and hypophosphatemia in patients with chronic kidney disease undergoing hemodialysis.
Development and Validation of Inner Environment Prediction Model for Glass Greenhouse using CFD

Because the inner environment of greenhouse has a direct impact on crop production, many studies have been performed to develop technologies for controlling the environment in the greenhouse. However, it is difficult to apply the technology developed to all greenhouses because those studies were conducted through empirical experiments in specific greenhouses. It takes a lot of time and cost to develop the models that can be applicable to all greenhouse in real situation. Therefore studies are underway to solve this problem using computer-based simulation techniques. In this study, a model was developed to predict the inner environment of glass greenhouse using CFD simulation method. The developed model was validated using primary and secondary heating experiment and daytime greenhouse inner temperature data. As a result of comparing the measured and predicted value, the mean temperature and uniformity were 2.62°C and 2.92%p higher in the predicted value, respectively. R2 was 0.9628, confirming that the measured and the predicted values showed similar tendency. In the future, the model needs to improve by applying the shape of the greenhouse and the position of the inner heat exchanger for efficient thermal energy management of the greenhouse. Additional key words : Facility horticulture, Computational Fluid Dynamics, Microclimate, Temperature distribution, Streamline Protected Horticulture and Plant Factory, Vol. 29, No. 3:285-292, July (2020) DOI https://doi.org/10.12791/KSBEC.2020. 29.3. 285 pISSN 2288-0992 eISSN 2288-100X *Corresponding author: daekim@kangwon.ac. kr Received March 20, 2020; Revised June 08, 2020; Accepted June 30, 2020 정인선 · 이충건 · 조라훈 · 박선용 · 김민준 · 김석준 · 김대현 286 Protected Horticulture and Plant Factory, Vol. 29, No. 3, 2020 뮬레이션 연구들에 많이 이용되어왔다. Kim(2001)은 온실을 2차원으로 모델링하여 포그 냉방 시스템의 효과를 예측하였 으며, Tadj 등(2010)은 3차원 온실 형상을 모델링하고 난방방 식에 따른 온실 내 공기의 속도, 온도, 습도 등을 정량화할 수 있는 CFD 시뮬레이션 모델을 개발하였다. Yu 등(2014)은 공 기 유동팬의 배치 및 용량에 따른 온실 내 온·습도를 예측하기 위해 3차원 시뮬레이션 모델을 개발하였고 난류모델의 종류 에 따른 수렴성을 비교하는 연구를 진행하였다. Fatnassi 등 (2015)은 태양광 어레이 배열에 따른 온실 내 광환경 예측을 위해 3차원 시뮬레이션 분석을 진행하였다. 이와 같이 온실의 내부 환경 조성을 위한 기술 개발에 필요한 시간 및 비용의 단 축, 다양한 환경 조건에서의 온실 내부 환경 예측 등을 위해 CFD 시뮬레이션 기법을 이용하여 다양한 시스템의 효과를 확인하기 위한 연구들이 진행되어왔다. 이러한 연구들에 비 해 온실 내 효율적인 열에너지 관리를 위한 온실의 형상, 온실 내부 환경 조성을 위한 열 교환 장치의 위치 개선 등에 대한 연 구는 미미한 실정이다. 이에 본 연구에서는 온실의 형상 및 내부 구조 변경에 유연 한 대처가 가능한 온실의 주·야간 시 내부 환경을 예측할 수 있 는 모델을 개발하기 위한 전 단계로 CFD를 이용하여 해석대 상 온실을 모델링하고, 주 ‧ 야간 실험 데이터를 이용하여 개 발된 예측 모델을 검증하였다.
The managerial implications of the labor market and workplace shortage in Central Eastern Europe

In the recent years the labor market of the Central and Eastern European (CEE) countries has changed a lot. One of the main business challenges in the CEE region is the worker shortage. The possible reasons of this phenomenon are the emigration of the labor force from the countries of the former Eastern Bloc to the Western countries, the negative demographic tendencies in the region, the effects of economic crisis and the significant wage differences in the countries of European Union. This paper presents the first results of an international research conducted in six countries from the CEE region (Austria, Czech Republic, Hungary, Romania, Serbia and Slovakia) on the reasons and managerial implications of the current labor force shortage. The research questionnaire was filled out in 797 companies and institutions in the CEE region. In our paper we will show the size, ownership and the sectoral distribution of our sample, as well as the average turnover rate, the average time to fill a position in, the positions hard to fill in, the possible reasons of labor shortage and the successful organizational and governmental programs to deal with labor market shortage. The obtained results may be a useful input for the formulation of human resource management programs in the organizations facing with labor market shortage in Serbia and other CEE countries.