Miracle-dz/UniFAR-FTUs huggingface dataset:
Preparation of fast pH-responsive ferric carboxymethylcellulose/poly(vinyl alcohol) double-network microparticles

BACKGROUND: Carboxymethylcellulose (CMC) and poly(vinyl alcohol) (PVA) are biocompatible, and their complex hydrogel shows pH responsiveness. Thus, they are chosen as starting materials to prepare physically dual-crosslinked Fe-CMC/PVA microparticles with improved properties. RESULTS: Fe-CMC/PVA double-network microparticles were obtained via a facile process under mild conditions. Sodium carboxymethylcellulose was crosslinked with ferric ions to form particles that contained aqueous PVA solution in an emulsion system. The hydrogel particles were then subjected to a freezing–thawing cycle to achieve further crosslinking; the size of the particles formed was in the range 0.2–1.2 µm. The microparticles were capable of maintaining the stability of proteins such as hemoglobin in an acidic environment and exhibited pH-responsive release behavior. CONCLUSION: The pH responsivity of the Fe-CMC/PVA physical double-network microparticles is fast, which is helpful for effectively protecting a loaded bioactive substance. Thus, they may be potential candidates for pH-sensitive applications. Copyright © 2008 Society of Chemical Industry
Multivariate statistical analysis applied to assess the dispersion of contaminants in a mining tailings basin in the semiarid region of Bahia – Brazil

This study employed multivariate analysis techniques to identify and evaluate the chemical variables responsible for the contamination of the urban area of Boquira, Bahia, due to the abandonment of the tailings basin of Pb-Zn mining, in order to assist in the environmental management of the area. Factor analysis was performed on main and grouping components. The factor analysis allowed grouping the variables into two main factors for street sediment samples, adding up to 72% of the total accumulated variance, and three factors for house dust samples, which explained 77% of the total variance. The variables have a strong correlation with the composition of the tailings basin. Cluster analysis classified the samples according to the concentration of metals in the area, where the influence of the tailings basin and the natural background of the region's rocks in the contamination distribution can be identified.
The Effect of Guided Inquiry Model on Improving Student's Learning Outcomes and Science Process Skills in Qualitative Analytical Chemistry Practicum

This study aims to determine the improvement of learning outcomes and science process skills of students through the implementation of the guided inquiry model in learning qualitative analytical chemistry practicum. This study is needed since most practicum activities are currently still doing a lot of traditional verification practicum guides which do not encourage students to be creative in organizing their competence especially science process skill. Therefore, a research was conducted to 27 students at Department of Chemistry Education, Universitas Negeri Medan in fourth semester of 2019/2020 academic year. The growth and development of science process skills of students was observed by using an observation sheet in the form of rubrics for students' practicum analysis group I, II, III, IV and V. The result showed that the implementation of this model in analytical chemistry practicum able to improve student's learning outcomes and science process skill significantly. Indicators which classified as high category are consisted of designing the practicum, applying the concept, hypothesizing and communicating. Meanwhile the medium categories are skill of predicting, interpreting and observing. In another hand, the student's learning outcomes were increased from 81.88 in average pre-test to be 85.49 in post-test with N-gain approximately 20%. The highest percentage of student worksheets was achieved in communication skills around 90%. These findings give contribution for chemistry education especially to prospective chemistry teachers for equip their science process skill such that it develops aspects of basic abilities including cognitive, affective and psychomotor.
VQA Model Based on Image Descriptive Paragraph and Deep Integration of BERT

Visual Question Answering (VQA) is a fast developing field involving multiple disciplines, and it is constantly challenging more complex tasks. The classic combination of CNN+LSTM can effectively extract images and language representation to complete the VQA task, but there are still many problems, such as excessively long sequence processing, etc. In recent years, BERT model has expanded rapidly from the field of natural language processing to a broader multi-modal field with its strong learning ability. In this paper, we propose a novel way to apply BERT model in the VQA field. We use the descriptive paragraph generation technology to transform the picture into a text paragraph description, and integrate question information and image information on BERT model. Our model achieves an excellent performance on the VQA2.0 dataset with an overall accuracy 5% higher than previous models.
Distribution of the Pan‐African Domains in East Antarctica and Adjacent Areas

The Pan‐African event is widely distributed in East Antarctica craton. Many terranes or outcrops of the craton bear more or less signs of the event. From characteristics of the shear zones, granites, pegmatites, feature and time of high grade metamorphism and detrital zircon ages peaks of the downflowing sediments from the plateau, the Pan‐African event in the East Antarctica and adjacent areas in the Gondwana reconstruction, like SE Africa, southern India and SW Australia, wasdistributed as special zones or areas in many localities, including both the coastal regions and interior of the East Antarctica. In geochemistry, the granites are generally anorogenic, ocassionally with some gabbros or dolerite dykes, showing sign of bi‐modal feature. The water or fluid available along the shear zones were responsible for retrogression of the earlier, e.g., Grenville age, high grade outcrops to later Pan‐African amphibolite facies metamorphism. Meanwhile, the Pan‐African event has influenced most isotopic systems, including the U‐Pb, Sm‐Nd, Rb‐Sr and Ar‐Ar systems, giving younger apparent ages. Manifestation of the Pan‐African event is distributed from possibly locally granitic magmatism, to wider medium‐high grade metamorphism, and mostly widespread in resetting for some isotope systems, suggesting the prevailing thermal effect.
Determination of the Lipophilicity of Potential Antituberculotic Compounds by RP-TLC

RP-TLC retention behavior has been studied for a series of potential antituberculotic drugs from a group of substituted anilides of pyrazine-2-carboxylic acid. Lipophilicity was determined by use of reversed-phase thin-layer chromatography with methanol—water mobile phases. RMW, values were obtained by extrapolation of RM (determined by RP-TLC) to methanol-free conditions. These experimental lipophilicity values were correlated with lipophilicity (log P) calculated by use of three software products. Good correlation was obtained between RMW, and log P. The results of this study could be used in further experiments focused on investigation of the biological activity of these newly prepared compounds and other potential antituberculotic drugs with closely similar chemical structures.
MEVDUAT BANKALARININ FİNANSAL PERFORMANSLARININ SIRALANMASI: TÜRK MEVDUAT BANKALARININ ENTROPİ VE MAIRCA YÖNTEMLERİYLE PERFORMANS ANALİZİ

Bu calismanin amaci 2018-2019 yillari icin mevduat bankalarinin finansal performansinin Entropi ve Mairca (Multi Attributive Ideal-Real Comparative Analysis) yontemlerinin ortak kullanimi hesaplanip siralanmasidir. Bu minvalde Turkiye genelinde yuz ve uzeri subesi olan on uc adet mevduat bankasi calisma kapsamina dahil edilmistir. Calismada, analiz icin kullanilan, Toplam Aktifler, Toplam Kredi ve Alacaklar, Toplam Mevduatlar, Toplam Ozkaynaklar, Şube Sayisi ve Personel Sayisi kriterleri kullanilarak mevduat bankalarinin finansal performanslari hesaplanmistir. Yapilan analiz sonucunda 2018-2019 yillari icin en iyi finansal performansa sahip mevduat bankasi T.C. Ziraat Bankasi, en kotu finansal performansa sahip mevduat bankasi ise Şeker Bank olarak tespit edilmistir.
A New Ensemble Machine-Learning Framework for Searching Sweet Spots in Shale Reservoirs

Knowing the location of sweet spots benefits the horizontal well drilling and the selection of perforation clusters. Generally, geoscientists determine sweet spots from the well-logging interpretation. In this paper, a group of prevalent classifiers [extreme gradient boosting (XGBoost), unbiased boosting with categorical features (CatBoost), and light gradient boosting machine (LightGBM)] based on gradient-boosting decision trees (GBDTs) are introduced to automatically determine sweet spots based on well-log data sets. Compared with linear support vector machines (SVMs), these robust algorithms can deal with comparative scales of features and learn nonlinear decision boundaries. Moreover, they are less influenced by the presence of outliers. Another prevailing approach, named generative adversarial networks (GANs), is implemented to augment the training data set by using a small number of training samples. An extensive application has been built for the field cases in a certain oilfield. We randomly select 73 horizontal wells for training, and 13 features are chosen from well-log data sets. Compared with conventional SVMs, the agreement rates of interpretation by XGBoost and CatBoost are significantly improved. Without special preprocessing of the input data sets and conditional tabular GAN (CTGAN) model fine tuning, the fake data set could still bring a relatively low agreement rate for all detections. Finally, we propose an ensemble-learning framework concatenating multilevels of classifiers and improve agreement rate. In this paper, we illustrate a new tool for categorizing the reservoir quality by using GBDTs and ensemble models, which further helps search and identify sweet spots automatically. This tool enables us to integrate experts’ knowledge to the developed model, identify logging curves more efficiently, and cover more sweet spots during the drilling and completion treatment, which immensely decrease the cost of log interpretation.
Research on Dynamic Reconfiguration Technology of Neural Network Accelerator Based on Zynq

Target detection based on convolutional neural network is a research hotspot in the field of computer vision. Conventional neural network (CNN) accelerators use the time division multiplexing method, and different network layers use the same accelerator, and their adaptability and resource utilization are not high. How to combine the dynamic reconfigurable characteristics of FPGA so that the calculation of each layer can be matched with the corresponding accelerator architecture at the cost of a certain configuration delay, and to improve the utilization efficiency of computing resources is a research hotspot. This article takes the YOLOv2 target detection algorithm widely used in the industry as an example, and uses Xilinx’s Zynq as the platform to describe the process of mapping the CNN model to the FPGA. Combined with the dynamic reconfigurability of FPGA, the calculation of each layer can be matched with the reconstructed accelerator architecture at the cost of a certain configuration delay, and the reconstruction delay can be shared by batch data multiplexing accelerator architecture, which effectively improves In order to improve the accelerator performance, the convolutional layer and the cascaded maximum pooling layer are merged to reduce the memory access delay. Experiments and evaluations were carried out on the accelerator architecture combined with dynamic reconfigurable characteristics, and the performance of 30.35GOP/s was obtained on the Zynq platform. Provide a reference for the application and optimization of CNN on embedded platforms.
Enhanced dye-sensitized solar cell using graphene-TiO2 photoanode prepared by heterogeneous coagulation

In this study, dye-sensitized solar cells (DSSC) were fabricated using graphene-TiO2 composite photoanodes. The graphene-TiO2 nanocomposites were prepared using the heterogeneous coagulation between Nafion-coated graphene and commercial TiO2 (P25) nanoparticles, which ensured a tight interfacial binding between them. The DSSC incorporating 0.5 wt % graphene in the TiO2 photoanode demonstrates a power conversion efficiency of 4.28%, which is 59% higher than that without graphene. It was found that the incorporated graphene caused both increased dye adsorption and significant longer electron lifetime. Graphene has been proven to be an attractive candidate for improving the performance of DSSC.
A PROPOSED STRUCTURE FOR CHLOROPHYLL d

Treatment of chlorophyll a or methyl chlorophyllide a with potassium permanganate effected oxidation of the 2-vinyl group without concomitant oxidation of the cyclopentanone ring. One of the products obtained was of especial interest because its visible absorption spectrum was identical with that of a previously known, but chemically uncharacterized, pigment—chlorophyll d. The preparation and identification of this oxidation product as 2-desvinyl-2-formyl-chlorophyll-a is given and its probable identity with chlorophyll d is discussed in detail.
Quantum chemistry by random walk: Higher accuracy for H+3

An improved quantum Monte Carlo calculation for the ground state of the molecular ion H+3 gives higher accuracies than previously attained. The nonrelativistic electronic energy for the equilateral triangle configuration of side length 1.6500 bohrs is found to be −1.343 835±0.000 001 hartrees.
Typical adaptive neural control for hypersonic vehicle based on higher-order filters

: A typical adaptive neural control methodology is used for the rigid body model of the hypersonic vehicle. The rigid body model is divided into the altitude subsystem and the velocity sub-system. The proportional integral differential (PID) controller is introduced to control the velocity track. The backstepping design is applied for constructing the controllers for the altitude subsystem. To avoid the explosion of differentiation from backstepping, the higher-order ﬁlter dynamic is used for replacing the virtual controller in the backstepping design steps. In the design procedure, the radial basis function (RBF) neural network is investigated to approximate the unknown nonlinear functions in the system dynamic of the hypersonic vehicle. The simulations show the effectiveness of the design method.
A New Class Weighted Algorithm for PSVM

Focusing on the problem of slow training speed existing in the SVM in intrusion detection, this paper improves the faster PSVM (Proximal SVM) method and proposes a new kind of class - weighted PSVM algorithm. This kind of algorithm not only has a fast classification speed, but also improves the classification accuracy.
Morphology, anatomy, palynology and conservation status of Achillea ketenoglui H. Duman

Achillea ketenoglui H. Duman is an endangered species in Turkey. Its morphological, anatomical and palynological features were studied. Microphotographs of the cross sections of stem and root of this species are provided along with the detailed anatomical features and their morphological description with the help of drawings. Distribution and ecology of A. ketenoglui were determined and IUCN risk category was revised. Microphotographs of scanning electron and light microscope was studied, evaluated and discussed for their taxonomic use. Introduction Asteraceae (Compositae) is one of the largest families of flowering plants occurring all over the world. According to the angiospermic phylogeny Asteraceae is placed in Asterideae/Asterales. Its members are distributed particularly in semiarid region of the tropics and subtropics with about 1600 1700 genera and 24000 species around the world (APG 1998, APG II 2003, APG III 2009, APG IV 2016). The Achillea L. one of the genera of Asteraceae belongs to tribe Anthemideae. It is represented by 115 taxa throughout the world and by 58 taxa in Turkey. Because of its high endemism ratio (53%) Achillea L. is considered as an important genus among the Asteraceae genera available in Turkey Arabacı 2012, Aytaç et al. 2016). Previously Achillea L. was revised by Huber-Morath (1975) in the flora of Turkey. Thereafter Duman (2000) added new species in second supplement of the Flora of Turkey. The new species were collected and described by Aytaç et al. (1990) from marly steppes between Polatli and Sivrihisar (Duman 2000). Studies were carried out on Achillea taxa by both local and foreign workers on different aspects, mostly on chemical components and their importance for anticancer, antimicrobial etc. (Tabanca et al. 2016, Haliloğlu et al. 2017, Demirci et al. 2018, Özek et al. 2018). Studies on morphology, anatomy and palynology of A. ketenoglui H. Duman are still limited (Arabacı 2006, Akyalçın et al. 2009, 2011, 2014, Grytsyk 2016, Dauti et al. 2017). In the present study the detailed morphological, anatomical and palynological features of the Achillea ketenoglui H. Duman were investigated for the first time. Materials and Methods The specimens of Achillea ketenoglui were collected from Günyüzü, between GünyüzüYazır, (Eskişehir-Turkey) gypsicolous area, N 39° 25' 40.1" E 31° 49' 29.8", 810 m. , 29.06. 2018, OUFE: 18242 (Fig. 1). In order to carry out a systematic study of the plant material, herbarium samples were prepared and kept as voucher specimens at the Eskişehir Osmangazi University Herbarium (OUFE). For the anatomical studies, fresh plant specimens collected from the natural habitat were fixed in 70% alcohol. Transverse sections of the stem and root were made by hand with the help of a scalpel. *Author for correspondence: <omurkoyuncu@gmail.com>.
Development of Biotechnology Textbook Based on Bioinformatics Research

Learning for undergraduate students needs to pay attention to the development of science and technology. Based on the results of the Biotechnology level of undergraduate students' needs assessment, it is known that the teaching materials have not used the bioinformatics approach. However, bioinformatics is a significant study in this course. One of the alternatives to achieve the goal of learning is to develop textbook-based research. The textbook was designed based on research on the potential analysis of quercetin compounds in apples as anti-autism by reverse docking. The study aims to develop a textbook for the biotechnology course. The method to the development of a textbook on this research used a development of Dick & Carey model. The study involved 3 students for the individual test, and 9 students for small group test. The results of validation from the material expert, media expert, and learning practitioner are 96%, 91%, and 93%, while the results of students' tests are individual test 84% and small group test 86%. All validation results show a very valid category with revisions according to expert advice and readability from students. The textbook developed can be used as materials for undergraduate students in courses relevant to the content of textbook, especially Biotechnology courses in the Biology Education department.
Teacher Coaching to Improve Instruction at Scale: Opportunities and Challenges in Policy Contexts

Background/Context Teacher coaching, defined by sustained observation and feedback cycles, has a longstanding theory of action that has held up to several rigorous evaluations in recent years. Policymakers and practitioners have taken note of these findings, rolling out coaching programs in classrooms and schools across the United States as a key policy initiative to improve instructional quality and student outcomes at scale. One likely factor leading to its success is that coaching program activities are situated much more closely to key outcomes than other initiatives (e.g., certification, licensure). However, coaching too exists in a broader policy context that creates both opportunities and challenges for success. On one hand, coaches are uniquely positioned not only to help teachers improve their practice but also to serve in leadership and capacity-building roles for their broader education systems; on the other hand, coaches’ role in system infrastructures can mean that their work is impeded by these same organizational factors, including top-down hierarchies and competing reform interests. Purpose/Objective/Research Design This piece synthesizes qualitative and mixed methods research presented in this volume in order to situate coaching programs within broader policy contexts and identify avenues for continued exploration. Conclusions/Recommendations Navigating these tensions requires additional research and data on the conditions and mechanisms that drive effective teacher coaching and how these conditions and mechanisms can be replicated at scale. One mechanism that should serve as the focal point of ongoing work are the coaches themselves. What skills and dispositions do coaches need in order to work with teachers to develop instructional practice while also effectively navigating policy conditions in their schools and districts?
KINETICS AND MECHANISM OF Y(III) EXTRACTION WITH CA-100 USING A CONSTANT INTERFACIAL CELL WITH LAMINAR FLOW

ABSTRACT The Yttrium(III) extraction kinetics and mechanism with sec-nonylphonoxy acetic acid (CA-100) were investigated by a constant interfacial cell with laminar flow. The studies of interfacial tension and solubility of extractant and effects of the stirring rate, temperature, specific interfacial area and species concentration on the extraction rate showed that the extraction regime was dependent on the extraction conditions and the most probable reaction zone was at the liquid–liquid interface. The rate equation of extracting yttrium by CA-100 in heptane was Rf = k[Y3+](a) [H2A2](o) 0.88 [H+](a)−1.08.
Risk of Fall among Older Adults and its Association with Cognitive Impairment in a Semi-Urban Community

Context: Fall in older people is a major public health concern. Two-third of the death due to fall are preventable. Risk assessment in older adults therefore is the first step to identify the high-risk group to plan need-based intervention. Aims: The aim of the study was to determine the prevalence of risk of fall among older adults and its association with cognitive impairment and sociodemographic characteristics. Settings and Design: A cross-sectional study was conducted in the field practice areas of the department of community medicine in a teaching hospital in South Kerala, India. Subjects and Methods: A semi-structured questionnaire was used to collect the data. Berg Balance Scale and Mini-Cog Test were used for measuring risk of fall and cognitive impairment. Statistical Analysis Used: Descriptive statistics and logistic regression were used for the statistical analysis using SPSS. Results: Among the older adults, 45% were at risk of fall, 42.4% in males and 57.6% in females. The risk of fall was found to be significantly associated with cognitive impairment, (odds ratio = 3.89, confidence interval at 95% = 2.06–7.31, P < 0.001). Advanced age, female gender, and unemployed status were significantly associated with the risk of fall. Conclusions: The risk of fall prevalence was high and significantly related to cognitive impairment, advanced age, female gender, and occupational status, with more than half of those currently not working having a higher risk. The study would recommend regular follow-up of risk groups for prevention a good percentage of fall and thereby the related injuries.