Miracle-dz/UniFAR-FTUs huggingface dataset:
Prezentačně-hodnotící předmětové portfolio v 7. ročníku ZŠ:případová studie

Monografie se zabýva tematem žakovskeho portfolia. V teoreticke casti je objasněn konceptualni ramec připadove studie. Obsahuje teoreticke pohledy na portfolio, zakladni přistupy k němu a zdůrazňuje temata, ktera budou zakladem pro analýzy dat. Definuje výzkumný problem a přinos praci tohoto typu. V empiricke casti je analyzovana metodologie připadove studie, jejimž cilem je deskripce prace s portfoliem ve vybranem připadu. V ramci empiricke casti jsou interpretovana data tak, aby osvětlila zkoumaný fenomen pro dalsi intenzivnějsi setřeni, nabidla vhled do dalsich podobných připadů a poskytla inspiraci a zdroje pro dalsi výzkum.
Fabrication of Germanium Tin Microstructures Through Inductively Coupled Plasma Dry Etching

Germanium tin (GeSn) with a Sn content of >12% has a great potential for optoelectronic devices due to its direct bandgap property. In this work, the anisotropic etching of GeSn with Sn content of 12.5% and selective etching of Ge over GeSn were explored by inductively couple plasma (ICP) dry etching to obtain various microstructures. Through adding oxygen into chlorine and argon and adjusting the process pressure, the anisotropic etching of GeSn was optimized with an ideal sidewall angle of 89o. The optimized process is compatible with both positive and negative resists. By altering the ICP power, Ge etching recipes with low and high etching rates were developed, which are favorable for fabricating GeSn nano- and micro-structures, respectively. An etching selectivity of >126 for Ge over GeSn with Sn content of >10% can be achieved. With the optimized dry etching recipes, suspended GeSn microribbons and microdisks were realized. Ultimately, the suspended GeSn microstructures were transferred onto 40-nm-thick ZrO2 on p+-Si to form a GeSn-on-insulator (GeSnOI) substrate. For a fabricated 45-nm-thick Ge0.875Sn0. 125OI back-gated transistor, the subthreshold swing (SS) of 240 mV/dec is reasonably low for a non-optimized device, suggesting that the explored dry etching methods are promising for device processing.
Segmentation of Digital Rock Images Guided by Edge Feature Using Deep Learning

Some traditional segmentation methods based on thresholding algorithm are implemented in digital rock images and applied in image processing software, but manually controlling is necessary and some parts cannot be divided due to the presence of similar color, and it cannot preform a satisfying result in small structure. With the rapid advance of computation power and big data, segmentation methods based on deep learning in image segmentation. A better result of image segmentation is obtained as the deeper layer and more complex net structure, but it also may show a poorer result. In addition, a complex network need cost a lot of computing source and time.
A Method of Infrared Image Pedestrian Detection with Improved YOLOv3 Algorithm

The principle of infrared image is thermal imaging technology. Infrared pedestrian detection technology can be applied to the safety monitoring of the elderly, which can not only protect personal privacy, but also realize pedestrian identification at night, which has strong application value and social significance. A method of infrared image pedestrian detection with improved YOLOv3 algorithm is proposed to increase the detection accuracy and solve the problem of low detection accuracy caused by infrared pedestrian target edge blurring. And according to the characteristics of infrared pedestrian, a complex sample data set is established which is applied to infrared pedestrian detection. The infrared image enhancement method with WDSR-B is adopted to improve the clarity of the data set. In addition, based on YOLOv3 algorithm, the output of the 4-time down-sampling layer is added to obtain richer context information for small targets and improve the detection performance of the network for small-target pedestrians. And the improved YOLOv3 network is trained by the enhanced infrared data set. Experimental results show that the scheme precision of pedestrian detection is higher than that of YOLOv3 algorithm. Therefore, this method can be applied to the detection of pedestrians at night and the safety monitoring of the elderly.
Design and Implementation of Single band Array Antenna for Wireless Applications

This work proposes the design and analysis of single band arrayantenna with rectangular patch using polymide substrate.Performance analysis was carried out for return loss, VSWR, radiation characteristics and impedance matching. This antenna is implemented on polymide substrate with ∈r = 4.3, h=1.6mm and operating frequency of 5.25 GHz. By this design it is also shown that single band operation is possible with proper position of the feed line and proper determination of inset size. Designed antennas is simulated by Ansoft High Frequency Structural Simulator (HFSS) by using the FEM (Finite element method).
A High-level Synthesis Design Flow from ESL to RTL with Multi-parametric Optimization Objective

Abstract High-level synthesis (HLS) has emerged as the most sophisticated way to bridge the gap between electronic system level (ESL) and its respective structural building block at the register transfer level (RTL). As the growth of system complexity rapidly increases, the gap between high level and RTL needs to be filled. Much advancement has been made in the area of HLS, but none of the works have focused on a formal design methodology that bridges the gap from ESL to RTL considering multi-parametric optimization requirements. This paper exclusively focuses on the formal steps required for multi-parametric optimized HLS design flow. This is significant for industrial projects as well as for the development of fully automated HLS tools for the current generation of portable devices and high-end applications. The design flow initiates with the mathematical model of the application, performs multi-objective design space exploration and finally shows all the steps necessary after exploration for the HLS design. This paper explicitly focuses on highlighting the design flow with optimization of three parameters area, execution time and power consumption during HLS design while working under the prerequisite of stringent operational constraints. The implementation of the proposed method on Field-programmable Gate Array and the chip layout generation will also be presented.
Three‐dimensional printing of graphene‐based materials for energy storage and conversion

Developing high‐performance energy storage and conversion (ESC) device relies on both the utilization of good constituent materials and rational design of assembly structure. Graphene‐based materials, due to their superior properties like high electrical/thermal conductivity, large surface area, and unique optical properties, have been extensively reported for ESC applications. The emerging three‐dimensional (3D) printing techniques, especially extrusion‐based direct ink writing technique, have brought a revolutionary improvement in structure control accuracy and designing capability to graphene‐based macro‐assemblies, triggering a boost in functionalities and performances of graphene‐based ESC devices. In these circumstances, understanding the very recent progress of 3D‐printed graphene materials and their design philosophy to bring new concepts for material designs and address the requirements for high‐performance ESC devices are urgently important. In this review, we aim to outline recent developments in 3D printing of graphene‐based materials and their applications in ESC applications. Basic requirements and theoretical analysis for preparation printable inks are discussed, as well as feasible GO ink preparation strategies in existing literatures. The representative explorations of 3D‐printed graphene materials in ESC applications like batteries, supercapacitors, solar steam generators, and electro‐thermal conversion are also reviewed. This study attempts to provide a comprehensive overview of the progresses and limitations of present 3D printed graphene materials, and seeks to enlighten the opportunities and orientations of future research in this field.
Watershed Segmentation with CAFIS and RCNN Classification for Pulmonary Nodule Detection

The premier cause for high cancer deaths in the world is the lung cancer. It is important for the radiologists to predict lung cancer at an early stage. Various research works on such nodule segmentation clearly manifest that they are ineffective. These investigations brought to the development of watershed segmentation-based topological interpretation (WSBTI) and an advanced optimized segmentation method of nodule detection. The supreme goal of this research work is to effectively recognize small anomalous nodule in the lung region. The noise discrimination can be eradicated by the primary step adaptive median filter with discrete-time complex wavelet transform enhancement technique. In the consequent step, WSBTI algorithm is effectively implemented for the prediction on abnormal node of lung. Ultimately, the procurement of nodule can be done by using coactive adaptive neuro fuzzy interference system classifier (CAFIS) and recurrent convolutional neural network classifier (RCNN). The average time of segmentation is 1.05 s. The high accuracy classification is 97% by using CAFIS method and 97.6% by RCNN method.
Model and design of PCB parallel winding for planar transformer

In today's high-frequency low-profile switching-mode power converters, paralleling winding in planar transformers is needed, especially for low voltage and high current applications. Although this practice is believed to be effective to increase the current handling capacity of the windings, the effect might be offset due to the unequal current sharing within parallel layers if the winding layers are not properly arranged and connected. In this work, the particular problems raised from parallel winding are addressed and modeled based on a one-dimensional field model. The factors affecting winding losses with parallel connection are analyzed. Software to predict the current density distribution and AC loss for planar windings has been developed.
The design of a mini game for the inheritance and promotion of the culture of oracle bone inscriptions

Oracle Bone Inscription Characters (OBICs) are the source of Chinese characters. However, understanding OBICs requires multi-disciplinary knowledge, which makes it extremely difficult for the general public to be interested in it. In order to mitigate the problem, we attempts to promote the Oracle Bone Inscription (OBI) culture through serious games. The game in this work uses Pinyin and comparison tables of OBIC and mordern Chinese characters (MCCs) as auxiliary information, aiming at helping players subtly establish the corresponding relationship between MCCs and OBICs. The game involves 220 recognized OBICs, uses different game modes, and encourages the competence between players. It has low entry requirements, making it suitable for people above elementary school students. Compared to the existing Oracle-themed games, it is more interesting and suitable for the inheritance and promotion of OBI culture.
Measure Method on Reaction Time of Visual Attention Using a New-Style Mechatronic Measurement System

In this paper, a new measure method was suggested to examine the reaction time of visual attention of drivers using a new-style mechatronic visual attention measurement system. The system can control the peripheral environment illuminance and the present of stimulus at the start locations, and change the color of stimulus in terms of visual attention shift theory in three-dimensional (3D) space. The measurement system included the setting of observation location, stimuli location, moving speed, environment illuminance. The paper introduced the test method of visual function and the test procedures of the reaction time. The results demonstrated that this measurement system can be used to examine the reaction time and judgment response of drivers in three environmental illuminance conditions, and show that the response training for visual attention can improve the vision judgment ability of drivers.
Effects of non-uniform salt stress on growth, yield, and quality of tomato

ABSTRACT Previous studies found that non-uniform salt stress could alleviate salt damage to plants compared to uniform salt treatment. The root system of tomato was divided into two parts, including salt-free treatment (NaCl concentrations were zero in both root systems), non-uniform salt stress with a NaCl concentration of 0.1% in one side of the roots (0.1%, 0.3%; 0.1%, 0.5%), non-uniform salt stress with a NaCl concentration of 0.2% in one side of the roots (0.2%, 0.4%), and uniform salt stress (0.2%, 0.2%; 0.3%, 0.3%) treatments. Compared with uniform stress, Na+ content in leaves decreased significantly (P < 0.05). The photosynthetic capacity of plants was significantly improved under the conditions of non-uniform salt treatment, which was mainly reflected in photosynthetic rate (Pn), stomatal conductance (Gs), and transpiration rate (Tr). Under mild salt stress, the stem and leaf weight of T13 in the non-uniform salt treatment increased by 7.60%, the yield per plant increased by 2.35%, and the total soluble sugar content increased by 6.85% compared with the uniform salt treatment T22. Under moderate salt stress, the stem and leaf weights of T15 and T24 in the non-uniform salt treatment increased by 14.62% and 5.77% compared with the uniform salt treatment T33, the yield per plant increased 6.04% and 3.49%, and the total soluble sugar content increased 18.94% and 7.97%. The study on the response of tomato under non-uniform saltinity was an important supplement to plant physiology under uniform saltinity, so as to provide references for cultivation and management in salt fields.
Not Another Teen Show: Exploring the Impact of Sexual Scripts in Sexually Oriented Teenage Television on Adolescent Girls’ Romantic Relationship and Sexual Expectations

ABSTRACT Television narratives present conflicting information regarding heterosexual, adolescent sexuality. In response to this, the present study examined the associations between adolescent girls’ (N = 419, Mage = 16.37, SD = 1.36) sexually oriented television viewing and their expectations in romantic and sexual relationships in two related domains. Results showed that sexually oriented teen television viewing was positively associated with adolescent girls’ endorsement of the sexual double standard in relationships and earlier expectations about the timing of sexual activities in relationships. This relationship did not differ by levels of perceived television realism, and remained even after controlling for covariates.
A Systematic Literature Review on Corporate Insolvency Prevention Using Artificial Intelligence Algorithms

The research field of insolvency avoidance was particularly fuelled by the economic crisis of 2008. Corporate insolvencies cause financial as well as non-financial damage to the entrepreneurs, to creditors, but also to society through lost jobs or taxes. Neural networks, but also regressions and decision trees, represent interesting approaches to insolvency prevention due to increasing computer power and data availability. This paper presents the current state of research on these selected algorithms in insolvency avoidance. The paper therefore provides a contribution to structuring the current state of research and shows the trends of the research field. For this purpose, a systematic literature search was carried out in the scientific databases with reference to the field of business administration and management with focus on an engineering environment using defined keywords, and the results were processed and analysed. One result is that, due to the different data availability and parameters, research is being carried out into different algorithms for avoiding insolvency and the trend is towards insolvency prevention for SMEs.
Upper-lower limb and breathing exercise program for improving sleep quality and psychological status in multiple sclerosis: a pilot randomized controlled trial

Abstract Purpose: To examine the feasibility and possible effect of an 8-week exercise program on sleep quality, insomnia and psychological distress in individuals with multiple sclerosis (MS). Methods: Twenty-four individuals with MS were recruited into a controlled pre-post feasibility study and divided into 2 groups: exercise (n = 13; Expanded Disability Status Scale (EDSS): 1.0–7.5) and a related control group with no exercise (n = 11; EDSS: 1.0–7.0). The exercise group performed combined upper limb, lower limb and breathing exercises in a controlled group (2d/week, 60 min/session) for 8 weeks. Participants were administered measures to evaluate sleep quality (Pittsburgh Sleep Quality Index, PSQI), insomnia severity (Insomnia Severity Index, ISI), psychological distress (Clinical Outcomes in Routine Evaluation–Outcome Measure, CORE-OM) and additionally impact of fatigue (Modified Fatigue Impact Scale, MFIS) after 8-weeks. Results: Insomnia severity measured with ISI (F(1;22)=5.95, p = 0.023, ηp2 = 0.213, 90% CI = 0.02–0.42) and psychological distress measured with the CORE-OM (F(1;22)=4.82, p = 0.039, ηp2 = 0.179, 90% CI = 0.01–0.40) showed statistically significant group-by-time interaction. Sleep quality measured with the PSQI showed statistically significant group-by-time interaction only in an aspect of daytime sleep dysfunction (F(1;22)=5.33, p = 0.031, ηp2 = 0.195, 90% CI = 0.01–0.40). The fatigue impact measured with the MFIS showed statistically significant group-by-time interaction in physical (F(1;22)=6.80, p = 0.016, ηp2 = 0.236, 90% CI = 0.02–0.44) and cognitive aspects (F(1;22)=9.12, p = 0.006, ηp2 = 0.293, 90% CI = 0.05–0.49), and total score (F(1;22)=11.29, p = 0.003, ηp2 = 0.339, 90% CI = 0.08–0.52). Conclusions: Our 8-week program reduced insomnia severity, psychological distress and some aspects of fatigue (physical; cognitive; total), and improved sleep quality in an aspect of daytime sleep dysfunction in a small group of individuals with MS. Good feasibility and significant positive changes from baseline warrant further exploratory work.
Testing of a single-polarity piezoresistive three-dimensional stress-sensing chip

A new piezoresistive stress-sensing rosette is developed to extract the components of the three-dimensional (3D) stress tensor using single-polarity (n-type) piezoresistors. This paper presents the testing of a micro-fabricated sensing chip utilizing the developed single-polarity rosette. The testing is conducted using a four-point bending of a chip-on-beam to induce five controlled stress components, which are analyzed both numerically and experimentally. Numerical analysis using finite element analysis is conducted to study the levels of the induced stress components at three rosette-sites and the levels of the stress field non-uniformities, and to simulate the extracted stress components from the sensing rosette. The experimental analysis applied tensile and compressive loads over three rosette-sites at different load increments. The experimentally extracted stress components show good linearity with the applied load and values close to the numerical model.
Syntheses, Characterization and Biological Activity of Novel Thiazoylazo Dye and Its Coordination Compounds

The present work describes the synthesis of a novel heterocyclic azo dye by general diazonization of 2-amino-4,5-dimethylthiazole followed by the diazo- coupling of the resulting diazonium ion with 5-methyl-2-(propan-2-yl)phenol to obtain ligand L. This was characterized using Fourier-transformed infrared and electronic spectrophotometry. Ligand L was further coordinated with five metal ions, M:L, 1:2 [M = Cu(II), Mn(II), Zn(II), Ni(II) and Co(II)]. The coordination compounds obtained were characterized by electronic, IR spectrophotometry, magnetic susceptibility and percentage metal analyses. The results obtained suggested that a thiazoylazo dye was obtained as ligand L. It was proposed that two molecules of the solvent coordinated to the metal ion in addition with the ligands to give an octahedral geometry for copper(II), manganese(II) and nickel(II) complexes. On the other hand, square planar geometry was suggested for zinc(II) and cobalt(II) complexes. The anti-infla- mmatory activity of the ligand and coordination compounds was evaluated using four in vitro-based assays viz: xanthine oxidase and lipoxygenase inhibition assay, membrane stability and protein denaturation assay. The synthesized compounds generally exhibited good anti-inflammatory activity in all the assays carried out. However, the reference standards, in this instance, were more effective in the case of xanthine oxidase, lipoxygenase and protein denaturation inhibitory assays. For the membrane stability study, the coordination compounds and ligand L elicited more potent anti-inflammatory activity than the standard drug.
Investigating Three Key Principles of Sustained Strategic Renewal: A Longitudinal Study of Long-Lived Firms

textabstractHow do long-lived firms strategically renew themselves over time? Viewing organizational longevity as sustained strategic renewal, this PhD research investigates three key principles of self-renewing organizations. Building on the coevolutionary perspective that incorporates both selection and adaptation perspectives, we developed a comprehensive framework to investigate these three key principles in the oil industry as our case industry, in Shell (1907-2008) as our focal case company and BP (1970-2008) as our comparative case company. Besides the multilevel and comparative case study methods, we employed the method of longitudinal content analysis to incorporate the temporal analysis of sustained strategic renewal over an extended period of time. First, we investigated the principle of matching the internal rate of change with the external rate of change. Our results suggest that aligning the internal rate of change of a firm with the external rate of change of the firm’s environment positively influences the firms’ sustained strategic renewal. Second, environmental turbulence requires firms to renew their organizational structure and develop self-organization. Our findings propound that self-organization positively influences sustained strategic renewal. Third, we investigated exploratory and exploitative strategic renewal trajectories as well as the role of top management team (TMT) in influencing these trajectories. We found that balancing exploration and exploitation positively influences sustained strategic renewal and that the TMT’s corporate governance perspective (shareholders / stakeholders) does influence strategic renewal trajectories. Finally, we substantiated managerial implications based on the enabling antecedents of the three key principles.
Impact of Position Optimization on Comfort and Working Posture Preference for Computer Operators with Chronic Low Back Pain

Many computer operators, such as those with chronic low back pain (LBP), may benefit from alternative working postures. Advances in computer technology are making changes to traditional computer workstations more feasible. However, many computer workstations do not appear to provide adequate postural support for people who might benefit from alternative working postures. This paper describes the results of a study investigating the impact that position optimization has on user comfort and working posture preference. The results of two tests are compared. In the first test, computer peripherals and postural supports were positioned for each participant, while in an upright seated posture, then maintained in those relative positions for each of five different working postures. In the second test the postural supports and computer peripheral positions were adjusted to maximize user comfort in each posture. The results indicate improved user comfort with the optimized positioning, and a change in the preferred working postures for people with and without chronic LBP.