Miracle-dz/UniFAR-FTUs huggingface dataset:
Extensions to the label commands

Data management tasks include manipulating variables, variable labels, and value labels. While Stata has versatile commands and functions to address the first task, managing variable and value labels is not as convenient. In this article, I introduce a new command, elabel, that enhances the capabilities of Stata’s label commands. I discuss these enhancements using various examples. I also demonstrate how to add new commands to elabel.
Improving Algorithms for Oscillometric Blood Pressure Estimation by Suppressing Breathing Effects

Blood pressure estimation by the oscillometry is a practice growing in popularity. Algorithms for blood pressure estimation are diverse, however little effort has been put forth to assess their performance. This thesis first surveys and assesses the algorithms used for oscillometric blood pressure estimation. Of all the known algorithms, the results of this work revealed one procedure which performed the best. These algorithms were evaluated by readings from two trained nurses. Next, we developed algorithms for extracting and suppressing breathing effects on blood pressure estimation. Breathing causes fluctuation in blood pressure and current oscillometric devices do not account for these effects. Extracting breathing signals extends the capabilities of existing oscillometric devices, such as reporting respiratory sinus arrhythmia, without the need for hardware changes. Suppression of these effects is performed by homomorphic and adaptive filtering. Results show improvement in that estimated pressure after suppression was closer to the nurse readings.
Energy‐Efficient Radio Resource Management

Energy-efﬁcient resource management is a promising solution to enable environment friendly and cost-effective wireless communication networks. This chapter presents the basic principle of the energy-efﬁcient resource allocation design in wireless networks. Two types of energy efﬁciency (EE) deﬁnitions, system-centric EE and user-centric EE, are introduced, discussed, and analyzed. We reveal that when the circuit power consumption is not negligible, there is a non-trivial trade-off between the EE and spectral efﬁciency which should be taken into account for the optimal resource allocation algorithm design. In general, the system-centric EE maximization and the user-centric EE maximization can be classiﬁed as a single-ratio problem and a sum-of-ratios problem, respectively, and they can be solved via various iterative parametric algorithms. As an illustrative example, we have also presented the energy-efﬁcient resource allocation design in an orthogonal frequency division multiple access (OFDMA) system. The design is formulated as a non-convex optimization problem. By exploiting the factional programming and dual decomposition, the globally optimal solution is obtained. Furthermore, our simulation results demonstrate the fast convergence and the superior EE achieved by our proposed resource allocation design. In addition, some future research extensions for realizing energy-efﬁcient wireless communication networks are identiﬁed and discussed.
An Adaptive Image Calibration Algorithm for Steganalysis

: In this paper, a new adaptive calibration algorithm for image steganalysis is proposed. Steganography disturbs the dependence between neighboring pixels and decreases the neighborhood node degree. Firstly, we analyzed the effect of steganography on the neighborhood node degree of cover images. Then, the calibratable pixels are marked by the analysis of neighborhood node degree. Finally, the strong correlation calibration image is constructed by revising the calibratable pixels. Experimental results reveal that compared with secondary steganography the image calibration method significantly increased the detection accuracy for LSB matching steganography on low embedding ratio. The proposed method also has a better performance against spatial steganography.
Interpreting mutational effects predictions, one substitution at a time

Artificial intelligence (AI) based methods for mutational effects predictions are improving in accuracy, because of the exhaustive experimental data they are trained on, and advances in algorithms. As the prediction quality improves, the next natural question to ask countering the ‘black box’ image of AI is if the predictions can be interpreted. We applied one of the approaches developed in the field of explainable AI, to decipher the factors contributing to the changes in cellular fitness and protein solubility arising from mutations. Juxtaposing the two observations and focusing on the individual factors uncovers the contributions and quantifies the intuitions about how different factors such as conservation, distance from the catalytic site affect fitness and solubility. Embedding interpretability along with the prediction algorithms will enable transparency and inspire confidence into models as well as contribute to the understanding of how mutations affect proteins.
The complete chloroplast genome sequence of Mentha canadensis (Labiatae), a traditional Chinese herbal medicine

Abstract Mentha canadensis is a well-known resource of traditional Chinese herbal medicine, belonging to the Mentha of the Labiatae family. In this study, the whole chloroplast genome of the M. canadensis chloroplast genome was sequenced, assembled and annotated, which contains 134 unique genes, including 89 protein-coding genes, 37 tRNA genes and 8 rRNA genes. A maximum likelihood phylogenetic tree based on 11 complete chloroplast genomes revealed that M. canadensis is closely related to M. longifolia and M. spicata. The chloroplast genome could be used for variety identification, genetic engineering and effective protection of germplasm resources.
Complete chloroplast genome of Physalis chenopodifolia Lam. (Solanaceae)

Abstract Physalis chenopodifolia is a perennial wild tomatillo with traditional use in central Mexico because of its edible fruits. Due to their agronomic potential and nutraceutical properties, this species is a resource that can be a candidate to plant breeding programs to be included in the Mexican diet. Here, we report the complete chloroplast genome of P. chenopodifolia. Its full size is 156,888 bp, includes a large single-copy (LSC) region of 87,117 bp, a small single-copy (SSC) region of 18,451 bp, and two invert repeat (IR) regions of 25,660 bp each. The plastome contains 113 genes, 79 protein-coding genes, 4 rRNA genes and 30 tRNA genes. The phylogenetic hypothesis supports P. chenopodifolia as a member of Physalis genus. Although relationships within the genus have moderated bootstrap support, the utility of the complete plastome sequence to solve infrageneric phylogenetic relationships is confirmed.
On the Cauchy problems for certain regularized models to the incompressible viscoelastic flow

In this paper, we study the Cauchy problems for certain regularized models to the incompressible viscoelastic flow in n space dimensions with n=2,3. Firstly, we establish a regularity condition for the solution under ∇u∈L1(0,T;L∞(Rn)) . Furthermore, we obtain a regularity condition to the smooth solution for the inviscid regularized models in two space dimensions. Finally, we prove a global existence result of classical solutions for a three‐dimensional incompressible Oldroyd‐α model with fractional diffusion.
The Effects of Co-Teaching on Regular Education and Special Education Students' Standardized Communication Arts Test Scores in a Suburban Midwest Middle School.

In response to numerous mandates in the field of education, schools have found it imperative to ensure that teachers are incorporating effective instructional methods which meet the diverse needs of student populations within a single classroom. The co-teaching model of instruction is just one way educators have chosen to lead classroom instruction in order to reach all learners. In the co-teaching setting two or more teachers work together to deliver instruction to a heterogeneous group of students in a class. This research study was completed to determine if the co-teaching method featuring two content area teachers had a positive effect on student achievement as measured by a valid and reliable standardized achievement assessment. This study presented the history and overview of the co-teaching strategy and highlighted the implementation of this model in schools. First, the study used teacher evaluation data and administrator confirmation that the method was being used with fidelity. Then, the researcher analyzed archival data on 784 student scores on a yearly standardized assessment and broke down the data into subgroups. Finally, the researcher performed a limited mixed effects model (LMM) test to measure if student scores were higher in a co-taught with two content area teachers classroom setting when compared to students’ scores in a traditional setting. Although the students in the co-taught classroom setting achieved higher scores on the yearly assessments, the differences were not at a statistically significant level. Further study on implementing the coteaching model with two content area teachers is needed. This instructional strategy should be studied in alternative settings, additional grade levels, and other content areas to determine if this method is beneficial for all students. Also, additional longitudinal observation of this cohort might be useful to see if the co-taught classrooms resulted in longer term effects on learning. CO-TEACHING: A STUDY OF STUDENT ACHIEVEMENT 3 CO-TEACHING: A STUDY OF STUDENT ACHIEVEMENT 4
Ice-nucleating particle versus ice crystal number concentrationin altocumulus and cirrus layers embedded in Saharan dust:a closure study

Abstract. For the first time, a closure study of the relationship between the ice-nucleating particle concentration (INP; INPC) and ice crystal number concentration (ICNC) in altocumulus and cirrus layers, solely based on ground-based active remote sensing, is presented. Such aerosol–cloud closure experiments are required (a) to better understand aerosol–cloud interaction in the case of mixed-phase clouds, (b) to explore to what extent heterogeneous ice nucleation can contribute to cirrus formation, which is usually controlled by homogeneous freezing, and (c) to check the usefulness of available INPC parameterization schemes, applied to lidar profiles of aerosol optical and microphysical properties up to the tropopause level. The INPC–ICNC closure studies were conducted in Cyprus (Limassol and Nicosia) during a 6-week field campaign in March–April 2015 and during the 17-month CyCARE (Cyprus Clouds Aerosol and Rain Experiment) campaign. The focus was on altocumulus and cirrus layers which developed in pronounced Saharan dust layers at heights from 5 to 11 km. As a highlight, a long-lasting cirrus event was studied which was linked to the development of a very strong dust-infused baroclinic storm (DIBS) over Algeria. The DIBS was associated with strong convective cloud development and lifted large amounts of Saharan dust into the upper troposphere, where the dust influenced the evolution of an unusually large anvil cirrus shield and the subsequent transformation into an cirrus uncinus cloud system extending from the eastern Mediterranean to central Asia, and thus over more than 3500 km. Cloud top temperatures of the three discussed closure study cases ranged from −20 to −57 ∘ C. The INPC was estimated from polarization/Raman lidar observations in combination with published INPC parameterization schemes, whereas the ICNC was retrieved from combined Doppler lidar, aerosol lidar, and cloud radar observations of the terminal velocity of falling ice crystals, radar reflectivity, and lidar backscatter in combination with the modeling of backscattering at the 532 and 8.5 mm wavelengths. A good-to-acceptable agreement between INPC (observed before and after the occurrence of the cloud layer under investigation) and ICNC values was found in the discussed three proof-of-concept closure experiments. In these case studies, INPC and ICNC values matched within an order of magnitude (i.e., within the uncertainty ranges of the INPC and ICNC estimates), and they ranged from 0.1 to 10 L −1 in the altocumulus layers and 1 to 50 L −1 in the cirrus layers observed between 8 and 11 km height. The successful closure experiments corroborate the important role of heterogeneous ice nucleation in atmospheric ice formation processes when mineral dust is present. The observed long-lasting cirrus event could be fully explained by the presence of dust, i.e., without the need for homogeneous ice nucleation processes.
The LRRC8A:C Heteromeric Channel Is a cGAMP Transporter and the Dominant cGAMP Importer in Human Vasculature Cells

Extracellular 2’3’-cyclic-GMP-AMP (cGAMP) is an immunotransmitter secreted by cancer cells and taken up by host cells to activate the anti-cancer STING pathway. No cGAMP exporter has been identified, and SLC19A1, a recently identified cGAMP importer, does not account for the import activity in most cell types. Here, we identify the LRRC8A:C heteromeric channel, a volume-regulated anion channel (VRAC), as a cGAMP transporter. This channel mediates cGAMP import or export depending on the cGAMP chemical gradient, and channel activation or inhibition modulates cGAMP transport. Other 2’3’-cyclic dinucleotides are also transported by LRRC8A:C channels, including the investigational cancer therapeutic ADU-S100. Furthermore, we demonstrate that the LRRC8A-containing channel is the dominant cGAMP importer in primary human vasculature cells. Given tumor vasculature’s regulation of immune infiltration and its disruption in response to STING agonists, we have uncovered a leading molecular mechanism for extracellular cGAMP signaling in this important anti-cancer target.
Design and development of symmetrical super-lift DC-AC converter using firefly algorithm for solar-photovoltaic applications

The super-lift technique is an exceptional contribution to DC–DC conversion technology. A replacement approach of symmetrical super-lift multilevel inverter (SLMLI) DC/AC technology is proposed with a reduced number of elements compared with the traditional multilevel inverter. In this method, the firefly algorithm conveys a leading task for the SLMLI topology for solar-photovoltaic applications. It generates low distortion output and consumes the harmonic band of the fast Fourier transform framework by the employment of the proposed algorithm. The simulation circuit for 15 levels output uses single switch super-lift inverter feed with different kinds of load (R, RL and RLE) conditions. The power quality is improved in SLMLI with minimised harmonics underneath the various modulation indices while varied from 0.1 up to 0.8. The circuit is designed in a field-programmable gate array, which includes the firefly rule to help the multilevel output, to reduce the lower order harmonics and to find the best switching angle. As a result, the minimum total harmonic distortion from the simulation and hardware circuit is achieved. Due to the absence of bulky switches, inductor and filter elements expose the effectiveness of the proposed system.
Simultaneous determination of sertraline, imipramine and alprazolam in human plasma samples using headspace solid phase microextraction based on a nanostructured polypyrrole fiber coupled to ion mobility spectrometry

This paper describes the development of a simple, rapid, and sensitive method based on headspace solid-phase microextraction (HS-SPME) combined with ion mobility spectrometry (IMS) for the simultaneous determination of antidepressant drugs, sertraline (SER), imipramine (IMI) and alprazolam (ALP), in human plasma samples. IMS equipped with corona discharge (CD) ionization along with HS-SPME has been successfully applied for quantitative analysis without derivatization steps. A dodecylbenzenesulfonate doped polypyrrole coating was used as a fiber for HS-SPME. The effects of various parameters on microextraction efficiency, including extraction temperature, extraction time, ionic strength, salt concentration and pH of the sample, were also evaluated and optimized to obtain the best HS-SPME results. The HS-SPME-IMS method provided good repeatability (RSD ≤ 5%) for three replicate analyses and a linear calibration range between 0.3–5 μg mL−1, 0.5–5 μg mL−1 and 1–5 μg mL−1 for sertraline, imipramine and alprazolam, respectively (R2 > 0.99). The limits of detection for sertraline, imipramine and alprazolam were 0.08, 0.12 and 0.27 μg mL−1, respectively. The proposed method was applied for determination of sertraline, imipramine and alprazolam in human plasma samples. The analytical procedure was validated by using percentage of recovery and was confirmed by the add-found method in human plasma samples. The analyte recoveries obtained were in the range of 93–97%. The proposed method provides several advantages such as high sensitivity, good repeatability, organic solvent-free, and being less time-consuming and relatively inexpensive as compared to HPLC.
An Investigation of K-12 Teachers' Attitudes toward Computer Technology use in Schools

This paper addressed the lack of investigation of K-12 teachers’ attitudes toward computer technology use in schools. The study looks at teacher variables that might affect the implementation of computer use in the learning environment. A sample of 179 teachers in a Northeast Mississippi school district participated in this study. The survey, the Computer Attitude Scale (CAS), consisted of two sections. In section one, teachers were asked to provide demographic information about themselves such as computer experience, access to a computer at home, age , gender, teaching level, teaching field, ethnicity , and education level. The second section was a 40-item questionnaire used to measure in-service teachers’ attitudes toward computer technology. Analysis of variance (ANOVA) was used to analyze mean differences in attitudes based on computer experience, computer at home, teaching field, teaching level, and age. The result revealed that there were significant differences between teachers’ attitudes as related to the teaching levels. No significant differences were found between computer anxiety, computer confidence, computer liking, and computer usefulness based on age, and teaching field. T-tests were used to analyze mean differences in attitudes based on gender and ethnicity. No significant differences were found between computer anxiety, computer confidence, computer liking, and computer usefulness based on ethnicity and gender. From these results, it was concluded that school districts could provide opportunities for inservice training and staff development for all teachers in educational technology with focus on integrating technology with curriculum. It was also concluded that teachers should be trained in the ways that technology can be used in their work environment.
BLACK MONEY MONITORING WITH SECURED CLOUD DATA STORAGE USING BIG DATA ANALYSIS AND BLOCKCHAIN TECHNOLOGY

: One of the challenge in cloud computing is that cloud vendors may provide varying and possibly incompatible ways to isolate and interconnect virtual machines located in different cloud networks. To overcome this issue we have proposed a mechanism called as tenant mechanism which means a group of users share a common access with some specific privileges. In order to store Sensitive data we have used Private Cloud data storage ad similarly for public data we used Public data storage. With Cloud computing and Big data analysis, we have implemented Block chain concept for monitoring money exchange and also in identifying overall user behaviour with personal identification by integrating all customer transactions like banking transaction that exceeds more than Rs. 50,000, Land Registrations, Gold Purchase or any foreign money exchange to avoid Black Money transactions.
The Digital Mindset as an Approach to Education forthe Millenial Generation

Education in the millennium requires strategies and adjustments in the preparation and implementation of the teaching and learning process. The situation that surrounds the world of education also changes because of the strong influence of digitalization in all fields. Therefore, one of the educational strategies for the millennium is the need to develop digital narratives in the education process itself. Because the millennials rely heavily on digital technology, millennial education achieved through a pattern of technological determinism. An education system is a design in a teaching approach that adapts to learning styles and media technology so that it becomes more familiar and following the current culture. Digitizing the education system, as intended in Digital Narrative, will be in vain without a change in the mindset of all stakeholders in the education world. Therefore, in the millennial generation learning effort, the first step needed is to develop an educational system instrument, including learning strategies, which depart from the digital mindset. The next step is to integrate all these educational instruments into a technology-based education system. This article was prepared to discuss and criticize millennial education strategies with a digital narrative approach. The discussion was conducted qualitatively by referring to some theories and libraries.
Developing Soft Skills in Veterinary Students in the ESP Class: Teaching Approaches and Strategies

The paper explores the efficiency of visual education approaches (the use of visual communication tools, full-spectrum visual learning, critical thinking approach, active and performance-based learning) infusing into the content instruction in the ESP class at the Omsk State Agrarian University. The five instructional strategies were used to understand the impact of visuals upon visual thinking abilities: 1) “reading circles” strategy; 2) concept mapping; 3) visual thinking activities; 4) storytelling; 5) making presentations. The improvement in the visual thinking abilities in veterinary students doing the ESP course was assessed by the methods of pretesting, end-course students’ performance and direct observation in class. The study produced several findings: 1. There was a positive change in visual thinking skills after the treatment; 2. The notable improvement of students’ visual learning abilities and communication skills has been achieved due to the “Reading circles” strategy; 3. The growth of visual evaluation abilities is observed in students with high cognitive capacities and rather good communication skills; 4. With concept mapping technology, students are better visual and oral communicators; 5. Though there is an improvement in visual thinking abilities in students, still there is the need for more development in critical engagement with the visual. Keywords—veterinary student, higher education, visual education, visual thinking, critical thinking, communication