Miracle-dz/UniFAR-FTUs huggingface dataset:
Difficulties of Biology Teachers in Planning and Implementing Authentic Assessments in the 2013 Curriculum: Descriptive Studies on Biology Teachers in Senior High Schools

This study aims to describe the difficulties of biology teachers at senior high schools (SMA) in Praya Barat Daya District for the 2020/2021 academic year in planning and implementing an authentic assessment in the 2013 curriculum. This research method uses a descriptive qualitative approach. The informants in this study were biology teachers at SMAN 1 Praya Barat Daya, biology teachers at Al Maarif Pandan Indah Islamic High School, and biology teachers at Raudlatul Ulum Islamic High School Batu Jangkih, totaling 8 people. Data collection techniques are using questionnaires, interviews, and documentation. In analyzing the data, steps were applied, namely data reduction, exposure or presentation of data and drawing conclusions. The results showed that the process of implementing an authentic assessment carried out by biology teachers was still less effective. Obtained data in planning the assessment of 78.75% included in the good category and in the implementation of the assessment obtained data of 43.26% included in the poor category. The difficulties experienced by biology teachers in planning authentic assessments of the 2013 curriculum are in determining the standard of assessment and the difficulties experienced by teachers in carrying out authentic assessments are in the affective domain.
Maritime Safety in Terms of the Availability for the AIS class B Binary Data Transmission, Based on Static Measurements, Performed on the VTS Zatoka Gdańska

Abstract The problem of the safety navigation considered only in terms of position error measurement, seems to be solved on a global scale. Thus, the operational characteristics of radio navigation systems such as availability are equally important. The integrated navigation system operate in a multi-sensor environment and it is important to determinate a temporal validity of data to make it usable in data fusion process. In the age of digital data processing, the requirements for continuity, availability, reliability and integrity information are already grown. This article analyses the problem of time stamp discrepancies of dynamic AIS class B position reports. For this purpose, the statistical summary of Latency Position Reports, derived from class B units has been presented. The navigation data recordings were conducted during 82 days of August, September and November 2014 from 20 vessels located in area of VTS ‘Zatoka Gdańska’. On the base of Latency Position Reports class B it is possible to designate the availability of AIS information system. For this purpose, the model of availability of AIS binary data transmission and research outcomes have been presented.
Grown Up Digital

สภาพแวดลอมในยคดจทล ทเตมไปดวยนวตกรรมการสอสาร ทำใหมนษยแลกเปลยนขอมลขาวสาร ทศนคต บรรทดฐาน และคานยมตางๆ ผานการใชงานสอใหมไดอยางไรขอจำกดทางพนทและเวลา กลมเนตเจน (Net gen) ผทเกดระหวางป ค. ศ. 1977-1997 ซงเปนผทคนเคยกบการใชงานสอใหมอยางอนเทอรเนต จงเปนกลมคนทมคณลกษณะคลายคลงกนทวโลก ทวามคณลกษณะบางประการ แตกตางจากกลมคนรนพอแมของพวกเขา ซงเตบโตมากบการใชงานสอเกา ตวอยางเชน กลมเนตเจน มทศนคตแบบยดตนเองเปนศนยกลาง ขณะทกลมพอแม ใหความสำคญกบความอาวโส หรอ กลมเนตเจนมพฤตกรรมโตเถยงกบครผสอน ขณะทกลมพอแม เมอครงยงเปนนกเรยนมกจะไมทำพฤตกรรมดงกลาว เปนตน โดยคณลกษณะทแตกตางกน กอใหเกดปญหาชองวางระหวางวย (Generation gap) นำมาซงเปนความขดแยง ทเพมมากขนทงจำนวนและระดบความรนแรง ขณะททกฝายตางถามหาคำอธบาย
Arm-Current-Sensorless Circulating Current Control of MMC

The circulating current and the large energy storage requirement are the two major limitations of the modular multilevel converter (MMC). The circulating current in MMC is majorly, in addition to the dc, second harmonic in nature. If not controlled properly, it results in reduced efficiency and/or increased energy storage requirement (ESR). To enhance the efficiency, the second and the higher order harmonic components in the circulating current of MMC are required to be suppressed. On the other hand, controlling the circulating current to have predefined magnitude and phase angle can reduce the ESR. There are many control methods available in the literature to suppress and, also, to control the second harmonic circulating current (SHCC). These methods are mainly based on sensing the arm current and calculating the SHCC and then suppressing or controlling it based on the set objectives. In this article, two control schemes are proposed to suppress the SHCC and to reduce the ESR. The proposed schemes are based on utilizing the instantaneous voltage signals of the submodule capacitors in MMC. Hence, the sensing and communicating the sensed signal of arm currents can be avoided using the proposed schemes, which increases the reliability and leads to reduced cost and complexity. The efficacy of the proposed control schemes is verified using the simulation studies and also by using the scaled-down lab prototype of a three-phase seven-level MMC.
Innovative adaptive autopilot design for uninhabited surface vehicles

In real life situations, very often a sudden change in dynamics results in missions being aborted which results in it having to be rescued before damage to other marine craft in the vicinity is caused. This problem has been suitably dealt with by an innovative adaptive autopilot design that is described herein. A model predictive control (MPC) adopts an online adaptive nature by utilizing weighted least squares (WLS). Even with random initialization, significant improvements were achieved by WLS by maintaining the intermittent continuous values of system parameters and periodically reinitializing the covariance matrix. Also, a time frame of 25 seconds appears to be the optimum to reinitialize the parameters. This novel approach enables the autopilot to cope well with significant changes in the system dynamics and empowers USVs to accomplish their desired missions.
SafeCandy: System for security, analysis and validation in Android

Android is an operating system which currently has over one billion active users for all their mobile devices, a market impact that is influencing an increase in the amount of information that can be obtained from different users, facts that have motivated the development of malicious software by cybercriminals. To solve the problems caused by malware, Android implements a different architecture and security controls, such as a unique user ID (UID) for each application, while an API permits its distribution platform, Google Play applications. It has been shown that there are ways to violate that protection, so the developer community has been developing alternatives aimed at improving the level of safety. This paper presents: the latest information on the various trends and security solutions for Android, and SafeCandy, an app proposed as a new system for analysis, validation and configuration of Android applications that implements static and dynamic analysis with improved ASEF. Finally, a study is included to evaluate the effectiveness in threat detection of different malware antivirus software for Android .
The measurement of wind pressure and speed based on the pressure sensor and wireless data transmission

Data acquisition and processing system for air pressure monitoring based on MCS-52 single-chip computer is introduced in this paper. The single -chip computer technology is adopted in the system. AT89S52 is the control center of this system . The high-performance, lower-range pressure sensor is installed on the stepper motor and detects the wind pressure when it rotates driven by the stepper motor. In addition, a wireless transceiver chip-PTR8000 is applied to this system. The wireless transmission of data from the testing circuit can be realized. The system can be controlled by users at the receiving end. The system avoids the complicated on-site connection, shows superiority in application flexibility, improves the working efficiency and reduces costs.
Acoustic impedance inversion using stacking velocities: Hussar example

In band-limited acoustic impedance inversion low frequencies must be provided from a non-seismic source. Impedance logs, estimated at wells from standard sonic and density logs, are commonly used however other sources such as impedance sections created from stacking velocities can be used. Stacking velocities must first be conditioned by interpolating on a grid that is the same size as the seismic data. For this purpose the PCHIP (Piecewise Cubic Hermite Interpolating Polynomial) algorithm was used. The next step is to convert the stacking velocities to interval velocities. Densities can be estimated using Gardner’s equation and the interval velocities and from there an impedance section can be calculated by multiplying the densities and interval velocities. Information from this impedance section in the 0-2 Hz band was combined with the seismic data from Hussar using the BLIMP (Band-Limited IMPedance) algorithm. The inversion has high lateral variation so a second inversion was calculated using the mean of the impedance section. The mean inversion had a percent error of 11% between 0.2 and 1.05 seconds where as the regular inversion had a percent error of 12% in the same interval. Good results were obtained using the stacking velocities from standard processing but these had sparse picks. Better results are likely to be obtained with finer stacking velocity picks and constraining the conversion of stacking velocities to interval velocities.
Restauración de imágenes borrosas usando un modelo regularizado de programación lineal

espanolContexto: Los problemas de minimizacion en el sentido de los minimos cuadrados han sido constantemente usados en la restauracion de imagenes borrosas. Estos se caracterizan por ser sensibles a valores atipicos afectando significativamente la calidad de la imagen restaurada. Teniendo en cuenta que la norma L1 es menos sensible a datos atipicos, el problema de restauracion de imagenes borrosas se plantea como un problema de programacion lineal. Metodo: Un metodo de punto interior se utiliza para la solucion del problema de programacion lineal. Se presenta la adaptacion de tecnicas de regularizacion al problema de programacion lineal de la imagen buscada y su derivada. Se realiza un estudio comparativo con otras tecnicas de restauracion bajo diferentes tipos de difuminado de imagenes. Resultados: Se probo que el metodo propuesto conduce a mejoras notables en las imagenes recuperadas. Los experimentos numericos muestran que el metodo de programacion lineal funciona mucho mejor que los propuestos en la literatura, en terminos de valores de PSNR, SSIM y en la calidad visual de las imagenes reconstruidas. Conclusiones: El problema de programacion lineal regularizado puede utilizarse eficazmente como modelo matematico del problema de restauracion de imagenes borrosas. Para trabajos futuros se plantea el estudio de la seleccion automatica de parametros de regularizacion y solucion de restauracion sin conocimiento previo del nucleo de difuminado. EnglishContext: Minimization problems in the sense of least squares have constantly been used in the restoration of blurred images. They are characterized by their sensitivity to outliers, which significantly affects affecting the quality of the restored image relevantly. Since the L1-norm is less sensitive to outliers, the image deblurring problem is posed as a linear programming problem. Method: An interior point method is used to solve the linear programming problem. This article presents the adaptation of regularization techniques of the image sought and its derivative to the problem of linear programming. A comparative study with other restoration methods under different types of image blurring is conducted. Results: The proposed method leads to remarkable improvements in the recovered images. Numerical experiments show that the linear programming method works much better than those proposed in the literature, in terms of PSNR and SSIM values, as well as in the visual quality of the reconstructed images. Conclusions: The regularized linear programming problem can be effectively used as a mathematical model of the image deblurring problem. For future work, there are plans to study of the automatic selection of regularization parameters and restoration solutions without prior knowledge of the blur kernel.
Progress of POGO suppression technology of launch vehicles at home and abroad

This paper describes the development process and progress of POGO suppression technology of launch vehicle at home and abroad, such as in the United States, the former Soviet Union, Europe, Japan and China. The characteristics of POGO suppression technology and inspirations of mini-POGO and cavitation dynamics are summed up. American POGO suppression technology has experienced the process of Titan 2—Saturn V—Space Shuttle—analysis of specific issues. Similarly, POGO suppression technology of China has also experienced the four stages of 331 project—Manned Spaceflight project—New generation launch vehicle—40Hz issue. It can be seen that POGO vibration suppression showed the following characteristics: difficult prior theoretical prediction, serious consequence and tortuous process of solution. It must be conducted research prior to the implementation of major aerospace project.
The use of risk language in migration discourse. A comparative exploration of German and Italian newspapers

Abstract Media studies emphasise the increasing use of security frames in migration reporting around the world, but they rarely engage in systematic analysis of risk language. Studying the use of risk language in media discourse could advance our understanding of how migration has come to be perceived, staged and handled as a risk by discursively constructing links to possible future harm for the security of individuals and societies. Using a dictionary-based approach, this study examines how the word ‘risk’ and other close terms, such as ‘danger’ and ‘threat’, are used in the press coverage of migration in Germany and Italy in 2015–16. The findings show that different risk words not only coexist but often compete with each other to convey specific interpretations of the issue. By associating migration to specific topics of debate the media emphasise harmful consequences for the host societies and trigger an understanding of migration as a threat to security. These findings draw attention to the interaction between the construction and the control of risk, and to the performative power of language in mobilizing symbolic and material resources to address social issues. The study also confirms that systematic analysis of media texts can offer a more informed understanding of the relation between analytical and lay concepts of risk, even if variations across languages suggest some caution when using a comparative approach to study risk discourse.
Encoding Health Records into Pathway Representations for Deep Learning

There is a growing trend in building deep learning patient representations from health records to obtain a comprehensive view of a patient's data for machine learning tasks. This paper proposes a reproducible approach to generate patient pathways from health records and to transform them into a machine-processable image-like structure useful for deep learning tasks. Based on this approach, we generated over a million pathways from FAIR synthetic health records and used them to train a convolutional neural network. Our initial experiments show the accuracy of the CNN on a prediction task is comparable or better than other autoencoders trained on the same data, while requiring significantly less computational resources for training. We also assess the impact of the size of the training dataset on autoencoders performances. The source code for generating pathways from health records is provided as open source.
Right ventricular ejection fraction as predictor of outcome in acute heart failure using RV ellipsoid model. A retrospective analysis of a prospective cross-sectional study

Objectives: The right ventricular (RV) function is an important prognostic factor in acute and chronic heart failure (HF). Echocardiography is an essential imaging modality with established parameters for RV function which are useful and easy to perform. However, these fail to reflect global RV volumes due to reliability on one acoustic window. It is therefore attractive to calculate RV volumes and ejection fraction (RVEF/E) using an ellipsoid geometric model which has been validated against MRI in healthy adults but not in the HF patients. Design: This is a retrospective analysis of a prospective cross-sectional study enrolling 418 consecutive patients with symptoms of HF according to a predefined study protocol. All patients underwent echocardiographic assessment of RV function using Tricuspid Annular Plane Systolic Excursion (TAPSE) and RV fractional area change (RVFAC) and RVEF/E. Setting: Single centre study with multiple locations for acute in-patients including high dependency units. Participants: Patients with acute or exacerbation of chronic HF older than 18 y.o. Main outcome measures: Ability of RVEF/E to predict patient outcomes compared with two established parameters of RV function over two-year follow-up period. Primary outcome measure was all-cause mortality. Results: RVEF/E is equal to TAPSE & RVFAC in predicting outcome (p 0.01 vs p 0.01) and provides additional benefit of RV volume estimation based on standard 2D echo measurements. Conclusions: In this study we have shown that RVEF/E derived from ellipsoid model is not inferior to well established measures of RV function as a prognostic indicator of outcome in the acute HF.
DETECTION OF CONCEALED WEAPONS IN X-RAY IMAGES USING FUZZY K -NN

Scanning baggage by x-ray and analysing such images have become important technique for detecting illicit materials in the baggage at Airports. In order to provide adequate security, a reliable and fast screening technique is needed for baggage examination.This paper aims at providing an automatic method for detecting concealed weapons, typically a gun in the baggage by employing image segmentation method to extract the objects of interest from the image followed by applying feature extraction methods namely Shape context descriptor and Zernike moments. Finally the objects are classified using fuzzy KNN as illicit or non-illicit object.
Conservation hotspots of insular endemic mammalian diversity at risk of extinction across a multidimensional approach

Islands are one of the most threatened worldwide biotas. Based on their taxonomic diversity, some insular regions have been identified as key areas of conservation. Recently, systematic conservation planning has advocated for the use of multiple biodiversity facets to protect unique evolutionary and functional processes. Here, we identified priority areas for threatened insular endemic mammals across three key dimensions of biodiversity (taxonomic, phylogenetic, and functional), as well as their protection level and threats affecting them.
Characterizing the impact of underwater glider observations on the Navy Coastal Ocean Model (NCOM) in the Gulf Stream Region

As the western boundary current of the North Atlantic, the Gulf Stream is a well established area of interest for the United States Navy, predominately due to its proximity to the continental shelf and the associated challenges of acoustic propagation across large property gradients. Autonomous underwater gliders conduct routine, high-resolution surveys along the U.S. East Coast, including within the Gulf Stream. These observations are assimilated into the operational Navy Coastal Ocean Model (NCOM). An investigation of the forecast-to-nowcast changes in the model for 2017 demonstrates the impact of the observations on the model. The magnitude of model change as a function of distance from nearest new observation reveals relatively large impact of glider observations within a radius of 𝒪(100) km. Glider observations are associated with larger local impact than Argo data, likely due to glider sampling focusing on large spatial gradients. Due to the advective nature of the Gulf Stream system, the impact of glider observations in the model is anisotropic with larger impacts extending downstream from observation locations. Forecast-to-nowcast changes in modeled temperature, salinity, and density result in improved agreement between observed and modeled ocean structure within the upper 200 m over the 24 hours between successive model runs.
Effect of Insulin-Like Growth Factor-1 Serum Maternal with Newborn Baby Weight in Pregnant Women Chronic Energy Lack

Pregnancy is the most important period for fetal growth. One of the factors that influence the success of pregnancy is the nutritional status of the mother previously and during pregnancy. Dietary status is said to be good if there is a balance between the amount of energy entering the body and the energy expended according to individual needs. The process of fetal growth requires energy obtained from the calories that the mother consumes. Along with the increase in gestational age, the need for energy for the process of fetal growth also increases. The purpose of this study was to determine the relationship between IGF-1 levels and newborn body weight in pregnant women with chronic energy deficiency. This research was conducted at the Lubuk Kilangan Health Center and the Bungus Health Center in May-July 2021. This study utilized a cross-sectional review strategy with an example of 40 pregnant women with persistent energy insufficiency. The consequences of this study concluded that there was a critical connection between maternal serum IGF-1 levels and infant birth weight at the Lubuk Kilangan Health Center and the Bungus Health Center Regency (p = 0.001; r = 0.493).
The Principles of Humane Experimental Technique: Is It Relevant Today?

Summary In the section on replacement in their 1959 book, The Principles of Humane Experimental Technique, Bill Russell and Rex Burch state: "As new fields of biology open in the future, it may become a matter of routine to apply the lessons of the past and turn as soon as possible to the techniques of replacement. " They foresaw in vitro techniques, in their infancy at that time, as the science of the future. Today, in the US, the National Academy of Sciences publication of Toxicity Testing in the 21 st Century: A Vision and a Strategy proves their point. This pivotal publication recognizes that the future of toxicity testing lies in the use of human cells in culture and in methods that Bill Russell and Rex Burch could not have possibly conceived of in 1959 but which they identified generically as "the futur e. " To truly establish this 21st Century approach will require very specific training in translational toxicology (the use of clinical observations to develop in vitro methods to understand pathways and systems biology), the development of transnational programs, and ways to evaluate the accuracy, validity and importance of new and/or traditional studies. These evaluations are known at evidence-based toxicology (EBT). Science is "the art of the question. " The concepts identified above ar e the tools to answer these questions - and to lead us to the next round of questions. The principles that Bill Russell and Rex Burch developed during the 1954-59 writing of "The Book" may be more important today than ever before. They argued that the newest science, the most humane science is also the very best science. This hypothesis is being proven now, as each of us contributes to the world's body of knowledge.