Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of Education and Training on Motivation and Productivity of Civil Servant Lecturers

---The problem examined in this study was how the influence of education and training on the motivation and productivity of civil servant lecturers in Surakarta Second Region Private College. This type of research was a type of causal research. The method used was a survey method with a quantitative approach. The population was all civil servant lecturers employed in Surakarta Second Region Private College, with reference to the use of LISREL, the study was conducted on valid data, namely 147 lecturers. The results of the study showed that: (1) education and training had a positive and significant influence on motivation; (2) education and training had a positive and significant influence on lecturer productivity; (3) motivation had a positive and significant influence on lecturer productivity. Based on the results of the research, it was suggested that improving lecturer productivity needs to be performed by developing lecturers through education and training as well as increasing motivation for each lecturer personally.
The evaluation of Periophtalmodon schlosseri as a source of acetylcholinesterase for the detection of insecticides

The aim of this study is to investigate the ability of acetylcholinesterase from mudskipper, Periophtalmodon schlosseri, as an assay to detect various pesticides, especially carbamate and organophosphate, and selected metal ions. The assay is sensitive to several carbamates with IC50of 0.0993, 0.0945, 0.0532 and 0.0488 mg/L for carbaryl, methomyl, propoxur and bendiocarb, respectively. Carbofuran highly inhibited the activity (0.0313) with the limit of detection (LOD) of 0.0176 and the limit of quantitation (LOQ) of 0.0526. The organophosphate group is less inhibiting compared to carbamate group.
Teacher Candidate's Construction Knowledge about Function and Student's Difficulties.

The quality of mathematics assignments from teachers to students is one important element that determines whether learning is effective or not. To make quality math assignments requires knowledge from the teacher about content and students, who are subdomains of mathematical knowledge to teach. This knowledge needs to be developed in prospective mathematics teachers since programmed teacher education. By focusing on one of the basic concepts in mathematics, namely the concept of function, research was conducted on 25 mathematics teacher candidates. Through interactions that occur in modified focus group discussions, we want to find out how prospective teachers construct knowledge about the concept of functions and difficulties of students. The results showed that in constructing the concept of functions and difficulties of students, teacher candidates worked backward, there were gaps in changing from one representation to another and identifying that the mastery of students' prerequisite knowledge and the order of representation used by the teacher in introducing the concept of functions affected the studentsÂ difficulties when complete assignments.
MVIIDroid: A Multiple View Information Integration Approach for Android Malware Detection and Family Identification

With the rapid growth of Android applications, there is an urgent need for powerful Android malware detection technology nowadays. Existing classification models can be summarized with the following two steps-feature extraction and classification model learning. To further enhance the representation ability of existing classification models, this article presents an Android malicious application detection framework termed multiview information integration technology (MVIIDroid). To be specific, in our approach, we extract applications’ multiple components, transform them into embedding feature vectors and train a multiple Kernel learning model as the classifier. To illustrate the effectiveness of our model, we evaluate MVIIDroid on two Android malware datasets of 6820 malware and 6820 benign applications. Results show that we have superior classification performances when separating malware from benign applications. Moreover, we further evaluate MVIIDroid's ability to attribute malicious applications to their actual families. The experimental results well demonstrate the effectiveness of the proposed model.
Noise-Source Model for Frequency-Domain EMI Simulation of a Single-Phased Power Circuit

In recent years, power electronic converters have been downsized significantly by high-density packaging techniques. As a result, parasitic couplings between power electronic components have become larger. For the prediction of electromagnetic interference (EMI) noise considering such couplings, a 3-D electromagnetic simulation is more suitable than a circuit simulation using a huge number of parasitic models. The most-practical electromagnetic simulation method is the finite element method, which is based on a frequency domain. The switching noise must be modeled in the frequency domain for an EMI noise simulation. In this article, we propose a new noise-source model for a frequency-domain EMI noise simulation. We modeled a transistor and a freewheeling diode by voltage and current sources based on three model topologies: transistor-off-diode-on topology (off-topology); transistor-on-diode-off topology (on-topology); and transistor-on-diode-on topology (recovery topology). We also used off-topology to simulate the turn-off EMI noise as caused by the turning-off of a transistor. Meanwhile, we used a combination of on-topology and recovery topology to simulate the turn-on EMI noise including recovery noise as caused by the turning-on of a transistor. After introducing the details of the model, we compared the measured and simulated results so as to show the validity of the model.
Assessing the Effects of Credit Risk Management on Financial Performance of Selected Banks in the Ghana Stock Exchange

The study explored the effect of credit risk management and its relationship to financial performance in the Ghanaian banking sector. This study adopted the explanatory research design. In this study, census sampling was used to select four (4) banks. These banks were Access Bank, Agricultural Development Bank, Ghana Commercial Bank, and Republic Bank. Data for the study constituted secondary data which were obtained from published audited annual report of the banks and the Ghana Banking Survey. The study adopted the regression analysis. The results indicated that credit risk has a negative relationship with performance in the banking sector. Specifically, credit risk related negatively with capital adequacy ratio, asset quality, management quality, earnings and profitability and liquidity. The concept is that increase in credit risk means bad credit risk management and vice versa. The implication therefore is that an increase in credit risk management give rise to increase in financial performance. The study recommended that training programmes be organized for credit officers on effective client monitoring. For the customers, there is the need to design and implement adequate credit management programmes to educate clients on proper management of loans. The policy and procedures should be living documents that reflect current and emerging credit practices. Keywords: Credit Risk Management, Financial Performance, Ghanaian Banking Sector. DOI: 10.7176/RJFA/11-12-08 Publication date: June 30th 2020
Structural and Sensing Characteristics of NiOx Sensing Films for Extended-Gate Field-Effect Transistor pH Sensors

In this article, the impact of post-deposition annealing (PDA) on the structural features and sensing properties of the NiOx sensing films deposited on a n+-type Si substrate was studied for an extended-gate field-effect transistor (EGFET) pH sensor. X-ray diffraction, X-ray photoelectron spectroscopy, atomic force microscope, and transmission electron microscopy were applied to explore the crystal structure, elemental composition, film morphology, and film microstructure of the NiOx sensing films after PDA at five different temperatures, respectively. The NiOx sensing film after PDA at 500 °C showed a higher pH sensitivity of 60.65 mV/pH, a smaller hysteresis width of 1.8 mV and a lower drift coefficient of 0.28 mV/h than those at different PDA temperatures. This result may be attributable to the promoted proton-exchange process and increased the number of surface bind-sites due to the NiOx film featuring the column-like polycrystalline structure, possessing a high Ni2+ content and forming of a thinner silicide layer at the NiOx/Si interface. In addition, this PDA temperature can minimize the oxygen vacancies and passivate the trap sites, thus reducing the formation of a hydrated layer on the NiOx film surface.
Hybrid Approach for Orientation-Estimation of Rotating Humans in Video Frames Acquired by Stationary Monocular Camera

The precise orientation-estimation of humans relative to the pose of a monocular camera system is a challenging task due to the general aspects of camera calibration and the deformable nature of a human body in motion. Thus, novel approaches of Deep Learning for precise object pose-estimation in robotics are hard to adapt to human body analysis. In this work, a hybrid approach for the accurate estimation of a human body rotation relative to a camera system is presented, thereby significantly improving results derived from poseNet by applying analysis of optical flow in a frame to frame comparison. The human body in-place rotating in T-pose is thereby aligned in the center, applying object tracking methods to compensate for translations of the body movement. After 2D skeleton extraction, the optical flow is calculated for a region of interest (ROI) area aligned relative to the vertical skeleton joint representing the spine and compared frame by frame. To evaluate the eligibility of the clothing as a fundament for good feature, the local pixel homogeneity is taken into consideration to restrict the optical flow to heterogeneous regions with distinctive features like imprint patterns, buttons or buckles besides local illumination changes. Based on the mean optical flow with a coarse approximation of the axial body shape as ellipsis, an accuracy between 0.1° and 2.0° by a target rotation of 10° for orientation-estimation is achieved on a frame-to-frame comparison evaluated and validated on both, Computer Generated Imagery (CGI) renderings and real-world videos of people wearing clothing of varying feature appropriateness
Defense and Analysis of Hijacking User Login Credentials via Remote Code Execution and Raspberry PI

Cyber-security is a rapidly growing concern for all organizations. Ransomware and Botnets are becoming pervasive across the internet. Management needs to understand how systems are compromised by attackers who implant payloads as ransomware and botnets. One such concern is physical access to machines by bad actors in the organization or mobile workstations working at offsite locations. Gaining physical access a bad actor can implant malware in the form of ransomware or a botnet which becomes an initial point of entry for assuming control over an organizations network. In this example, we illustrate the dangers of physical access and use a USB device to implant a payload via remote code execution. The remote code installs an application developed to mimic a Windows 10 login screen and populates the login screen with the username of the currently logged in user. Once the user logs in to this fake screen, the application logs the user’s credentials, namely the username and plain text password, via an HTTP post to a remote command and control server. Following our demonstration, we discuss implications and countermeasures to aid management in improving security of the organization.
Conservation plans and targeted conservation: Investigating two approaches to improving farmer practice adoption

Soil and water conservation practices have been promoted for nearly a century as viable solutions for reducing the negative impacts of U.S. agriculture on soil health, soil erosion, impaired water quality, and declining wildlife habitat. During this time, enormous progress has been made in increasing the annual productivity of our food system, however progress towards making that system ecologically sustainable has been limited. Adoption rates of conservation practices remain far below the levels suggested by research and policy, and the demands of our growing population threaten to further increase negative impacts to our nation’s natural resources. This thesis explores two related avenues that have been developed with the goal of increasing farmer adoption of conservation practices: conservation plans and targeted conservation approaches. Two research studies focus on the state of Iowa as a national leader in agricultural production as well as a significant contributor to soil loss and water quality impairment. The first study uses quantitative survey data from the Iowa Farm and Rural Life Poll (IFRLP) to examine the relationship between a farmer having a USDA Natural Resources Conservation Service (NRCS) Plan and their likelihood of applying soil and water conservation practices on their farm. The second study takes advantage of panel survey data from the IFRLP to examine whether or not farmer acceptance of targeted conservation approaches has changed over time and if so, what factors may have influenced this change. This study also analyses qualitative data from interviews and focus groups to provide additional perspectives on farmers’ potential acceptance of targeted conservation approaches. Conservation planning is the primary tool the NRCS uses to help farmers manage and protect natural resources on their land, and yet almost no research exists examining the relationship between having an NRCS conservation plan and best management practice adoption.
Low-Cost Implementation of Independent Component Analysis for Biomedical Signal Separation Using Very-Large-Scale Integration

This brief proposes a low-cost implementation of the extended InfoMax independent component analysis (ICA) algorithm for biomedical signal separation by using very-large-scale integration (VLSI). On the basis of this algorithm, the implemented VLSI ICA core can be used to separate a mixed signal from a super-Gaussian signal source. By using mathematical operations of merging and simplification, the ICA core uses the systolic array and lookup table to implement the extended InfoMax ICA algorithm, thus achieving low cost and high speed. The measured results indicated that the ICA core consumed 9.5 mW when operated at 100 MHz using TSMC 90-nm complementary metal–oxide–semiconductor technology, with a gate count of only 36.8K. This represents a 59% reduction in area and a 35% saving in power compared with the previous design. Furthermore, the proposed ICA core was applied to mixed electrocardiogram signals, and the separated signals exhibited excellent quality.
Strength and power training improve skill performance in volleyball players

Aim: This study aimed to test the influence of functional improvements in volleyball skills performance. Methods: Twenty-eight amateur female volleyball players were assigned to Skill (S: n = 14, 19.5 ± 4.6 yrs; 169.7 ± 7.2 cm; 62.9 ± 12.7 kg) or Skill and Strength/Power (S+SP: n = 14; 18.6 ± 3.5 yrs; 169.7 ± 5.1 cm; 63.3 ± 9.2 kg). S +SP performed eight weeks of volleyball and conditioning training. S maintained only volleyball training. Functional variables (i.e. strength, power, and agility measures) and volleyball skills performance in a game-situation context were assessed before and after training. Results: 1-RM squat and bench press, time at modified agility T-test, peak power at bench throw and medicine-ball throw distance improved for the S+SP (p<0,05). S group increased only in medicineball throw distance (p<0.05). There were no differences between groups in the functional variables tested (p>0.05). The probabilities of a perfect set and an attack ‘kill’ in S+SP improved (¶>0.90). Changes from pre to post-training were higher in S+SP than in S for a perfect set, ‘stuff block’ and defense with displacement (¶>0.90). Conclusion: Our data suggest that functional improvements may positively affect volleyball skills performance. Although functional variables revealed only within-group changes, S+SP produced greater improvements in skill performance than S, supporting the use of conditioning training to improve volleyball performance.
A 15-W Quadruple-Mode Reconfigurable Bidirectional Wireless Power Transceiver With 95% System Efficiency for Wireless Charging Applications

In this article, a 15-W quadruple-mode reconfigurable wireless power-receiving unit with high efficiency for Inductive coupling and magnetic resonance-based standards, such as wireless power consortium (WPC), power matters alliance (PMA), alliance for wireless power (A4WP), and magnetic secure transmission (MST) applications is proposed. Quadruple-mode gate controller(QMGC) is proposed in quadruple-mode synchronous rectifier to manage sizes of core and drivers which results in maximum power conversion efficiency (PCE) for each mode based on conduction and switching losses. In QMGC, switchable zero voltage and current sensing block is proposed for WPC/PMA to maximize PCE regardless of load current variations. For A4WP mode, a digitally controlled delay adjustment block is adapted to minimize power consumption while compensating for delay which results in reverse leakage current and power loss. Finally, for MST mode, low power TX (LPTX) block is implemented to minimize current consumption so that burden on battery can be minimized. A high-resolution current sensor is proposed in low-drop out regulator to sense current for overcurrent limit and overcurrent protection. The measured PCE of proposed system at 15 W are 95.3% and 92.3% for WPC/PMA and A4WP mode, respectively. For MST, power consumption is reduced to 35% courtesy LPTX block.
Resultados del circuito de cribado poblacional de cáncer de mama en el Hospital Clínico San Carlos

Results of the breast cancer population screening circuit at the San Carlos Clinical Hospital Background: The objective of the study was to compare the time difference between diagnose and treatment with relation to switching protocols in screening program, DEPRECAM; and to analyze the screening program over our sample. Methods: It is a retrospective study involving 173 patients with two no time concurrent clinical cohorts referred from DEPRECAM program to San Carlos Clinic Hospital (HCSC) between March 2017 and January 2019. It was compared the time differences between the group forwarded to Breast Pathology service (Group A; n=92) and the group directly forwarded to Radiology department (Group B; n=81), using the non-parametric MannWhitney U test, estimating the difference of the means together with its 95% confidence interval. Results: The averaged time to final diagnosis for group A and group B was 38.55 and 35.01 days respectively; and averaged time to treatment was 102.46 and 95.6 days. The difference between groups was not statistically significant (diagnosis p=0.999; treatment p=0.451). The correlation between sizes recognized in imaging test was reasonable. The consistency between imaging test and Histopathology was weak. Conclusions: The change in protocol does not reduce time significantly.
Organic Electrochemical Transistors as an Emerging Platform for Bio-Sensing Applications: A Review

Organic electrochemical transistors (OECTs) have been recognized as a major emerging technology in the area of flexible electronics in the last decade. Although they have yet to be incorporated in common electronic fabrication technologies, they have considerably advanced as an emerging platform for biosensing applications. The paper provides a comprehensive and critical review of the most important advances in the field of OECT-based biosensors. A brief description of the device physics is given with the most important equations and a comparison has been made with the conventional MOSFET devices and characteristic equations. The use of OECTs as an emerging biosensing platform has been explored and their application as biomolecule, enzyme, bacteria, viruses, cells, nucleotide detectors as well as electrophysiological and wearable sensors has been reported. Furthermore, trends have been extracted and described in the paper in terms of fabrication technologies, electrode materials and most importantly, the semiconducting polymer. Additionally, future perspectives on the development and fabrication technologies of these devices have been further explored.
Travel destinations and their relationship to the process of co-creation of value and marketing experience: a bibliographic review.

Tourism activity involves the complexity of relationships that covers different social actors in a tourist destination. Tourists and visitors stand out when they are looking for memorable tourist experiences, being co-creators of their own experiences when visiting a locality. e present study characterizes itself by being a bibliographic revision that aims to address aspects of tourism activity, tourism destinations, co-creation of value, and experience marketing, based on some of the main scholars on the themes: co-creation (Vargo & Lusch, 2008; Payne et al., 2008) and experience marketing (Schmitt, 1999, 2002, 2006, 2010; Smith & Hanover, 2016). To do such thing a bibliographic research was carried out, being this study exploratory and descriptive in nature. us, it is important to consider the need for tourist destinations to work in integrated planning, considering the public and, private sectors, and also the local community, seeking in return to communicate attractions and tourist services consistent with such good tourist experiences.
A New Noise-Suppression Algorithm for Transient Thermal Analysis in Semiconductors Over Pulse Superposition

This article introduces a new measurement method for noise suppression in transient thermal analysis (TTA), which is used to measure the transient thermal impedance of power semiconductors and LEDs. An additional short pulse sequence is added to the standard TTA measurement procedure. The thermal response of this additional sequence is converted into the original single-pulse response of standard TTA by superposition of previous pulses in the sequence. Applying this method, the noise before 1 ms can be significantly reduced without averaging over multiple measurement repetitions that would increase the measurement time accordingly. The noise reduction for times below 1 ms is important to resolve the thermal resistance layers close to the junction of a semiconductor. The measurement method and data analysis algorithm are developed for TTA measurements, but the principle is suitable for all linear time-invariant (LTI) systems where the system response is measured over several time decades. The algorithm was evaluated on simulated and experimental data of a power LED. With an additional sequence of only 100 ms, a signal-to-noise ratio (SNR) improvement of 15.1 dB for simulated data and 14.7 dB for experimental data was achieved. This is equivalent to averaging over 30 repetitions in the standard TTA procedure. Therefore, the new method achieves a reduction of measurement time of 97% for applications where low noise levels are required for times below 1 ms.