Miracle-dz/UniFAR-FTUs huggingface dataset:
Section Discrepancy and Diagnostic Performance of Breast Lesions in Two-dimensional Ultrasound by Dynamic Videos versus Static Images

Background: Benign or malignant breast lesions with typical ultrasonic characteristics could be easily and correctly diagnosed with two-dimensional ultrasound (2D US). However, diagnosis of atypical lesions remains a challenge. Most atypical lesions have different ultrasonographic features with probe direction variation. Thus, the interpretation of ultrasonographic features based on static images empirically collected by sonographers might be inaccurate. We aimed to investigate the section discrepancy and diagnostic performance of breast lesions in 2D US by dynamic videos versus static images.Methods: Static images and dynamic videos based on two perpendicular planes of 468 breast lesions were collected and evaluated. The Breast Imaging and Reporting Data System (BI-RADS®) US lexicon was used. Category 3 was used as the cut-off point, and section discrepancy was defined as two perpendicular planes showing different BI-RADS categories (3 versus 4A, 4B, 4C, and 5). Results: This retrospective study included 315 benign and 153 malignant lesions. There were 53 and 50 lesions with section discrepancy during static and dynamic observations, respectively. The proportion of benign lesions with section discrepancy was significantly higher than that of malignant lesions (P < 0.05) either in dynamic or static observation, and the contingency coefficient was 0.2 between section discrepancy and histopathology. Duct changes were more clearly depicted in dynamic videos than in static images (P < 0.05) both in malignant and benign lesions. Calcification and architectural distortion were more sensitively detected by dynamic videos than with static images (P < 0.05) in malignant lesions. The interpretation of “margin” significantly differed in benign lesions between static images and dynamic videos (P < 0.05). The areas under the curve of static image-horizontal, static image-sagittal, dynamic video-horizontal, and dynamic video-sagittal were 0.807, 0.820, 0.837, and 0.846, respectively. The specificities of dynamic videos were higher than those of static images (P < 0.05). Conclusion: Breast lesions have section discrepancy in 2D US. Observations based on dynamic videos could more accurately reflect lesion features and increase the specificity of US in the differentiation of atypical breast lesions.
Parental Decisions on Sharing Their Children's Private Information on Social Media among Families in Jakarta Area

The practice of publishing photos and videos containing children’s private information on social media—also known as sharenting—is popular among parents in Jakarta. Embarking from the debate about privacy paradox in which it is believed that privacy concern does not predict someone’s behaviors in managing his/her private information online, this research aims to reveal the considerations underlying parental decisions when sharing their children’s private information through social media and their perceived risk toward their children’s online safety. Using a qualitative approach, the researcher conducted interviews with 20 parents in Jakarta with at least one child younger the 13 years. The result suggests that the perceived benefit of sharenting exceeds its perceived risks. The study also found four reasons why parents exercise sharenting: to document their children’s development, to gain social support from their followers on social media, and to overcome loneliness as new parents and the low self-efficacy of parents in protecting children’s privacy on the internet. Unsurprisingly sharenting through social media has become a growing trend among parents. This finding thus will be useful as a groundwork to develop an intervention program regarding relevant sharenting in the context of Jakarta, Indonesia.
Bidirectional Interface Resonant Converter for Wide Voltage Range Storage Applications

In this paper, a bidirectional zero voltage switching (ZVS) resonant converter with narrow control frequency deviation is proposed. Wide input–output voltage range applications, such as flywheel or supercapacitors storage units are targeted. Due to symmetrical topology of resonant circuit interfaces, the proposed converter has similar behavior in bidirectional operating mode. We call it Dual Active Bridge Converter (DABC). The proposal topology of the converter is subjected to multi resonant circuits which make it necessary to study with multiscale approaches. Thus, first harmonic approximation and use of selective per unit parameters are established in (2) Methods. Then, the forward direction and backward direction of power flux exchange are detailed according to switching sequences. Switching frequency control must be completed within a narrow range. So, the frequency range deterministic parameters are emphasized in the design procedure in (3) Methods. A narrow range of switching frequency and a wide range voltage control must be ensured to suit for energy storage units, power electronic devices capabilities and electromagnetic compatibility. A 3 kW test bench is used to validate operation principles and to proof success of the developed design procedure. The interest of proposed converter is compared to other solutions from the literature in (4) Results.
Influence of Autonomous Sensory Meridian Response on Relaxation States: An Experimental Study

Multiple studies have stated that autonomous sensory meridian response (ASMR) induces relaxation. ASMR is defined as a static tingling-like sensation across the scalp and back of the head, experienced by some people in response to specific audio and visual triggers like tapping, whispering, and slow hand movements. This study explores the relaxation states and the stress states on which ASMR videos have the highest impact. Data from 60 college students with a mean age of 22 years and a standard deviation of 1.12 were collected for this study, among which 30 were assigned to an experimental group and 30 were assigned to a control group single blindly. The relaxation states and stress states were measured using Smith Relaxation Scale Inventory (SRSI) for the pretest and Smith Relaxation Posttest Inventory (SRPI) for the posttest. The experimental group watched an ASMR video, and the control group watched a neutral video between the pretest and posttest. SPSS version 16 was used for data analysis. The result suggested a significant increase in sleepiness after watching the ASMR video (significant difference).
The miR-4306/IGF2R axis modulates the lung adenocarcinoma response to irradiation in vitro and in vivo

Background Lung adenocarcinoma accounts for more than 50% of non-small cell lung cancers. Dysregulated microRNAs (miRNAs) and coding genes play a critical role in lung adenocarcinoma irradiation resistance and might be promising therapeutic targets. In the present study, we demonstrate the effect of the miR-4306/IGF2R axis on malignant behaviors of lung adenocarcinoma cells and the response to irradiation. Methods Quantitative realtime-PCR and Western blot assays were applied for miR-4306 and IGF2R expression in tumors and cells. A CCK-8 assay kit was used to detect cell viability. Colony formation assay was implied to detect cell proliferation. Transwell assay was used to detect cell invasion. A subcutaneous tumor model was performed in nude mice to detect tumor formation in vivo. Hematoxylin & eosin (H&E) staining were used to observe pathological status of tumor in nude mice. To validate the miR-4306 binding IGF2R 3'-UTR, a dual-luciferase reporter assay was performed. Results The expression level of miR-4306 was dramatically upregulated in lung adenocarcinoma samples and cells, and could be induced by irradiation in a dose-dependent manner. In lung adenocarcinoma cells, miR-4306 overexpression significantly promoted cell viability and invasive abilities and attenuated the inhibitory effect of irradiation on malignant cancer cell behaviors. In a subcutaneous tumor model in nude mice, miR-4306 overexpression promoted tumor growth and attenuated the suppressive effect of irradiation on tumor growth. miR-4306 directly inhibited the expression of IGF2R. In lung adenocarcinoma cells without irradiation, IGF2R overexpression was inhibited, while IGF2R knockdown promoted cell viability and invasive abilities. The effects of miR-4306 overexpression were partially attenuated by IGF2R overexpression. In lung adenocarcinoma cells, suppressive role of irradiation on cancer cell viability and invasive abilities were enhanced by IGF2R overexpression, but attenuated by IGF2R knockdown. The effects of miR-4306 overexpression on cancer cell viability and invasive abilities were also partially attenuated by IGF2R overexpression in lung adenocarcinoma cells with irradiation. In tissue samples, expression of miR-4306 and IGF2R were negatively correlated. Conclusions The miR-4306/IGF2R axis could significantly affect lung adenocarcinoma progression and response to radiotherapy, and further investigation of the clinical implications of this axis is strongly recommended.
Fatigue at the Workplace: Measurement and Temporal Development

Fatigue is a multidimensional construct and its effects might lead to reduced performance at work, including deficits in productivity and quality. Fatigue may also be relevant in the development of chronic syndromes and disability and pain due to work-related musculoskeletal disorders. These effects and outcomes underscore the need to understand fatigue development at work. However, since fatigue manifests in various forms, a single test is not theoretically validated. A workshop was convened to identify fatigue measures that were practical, reliable, sensitive, and valid. Fifty-seven unique measures were identified. Based upon participants‟ ratings, four measures were recommended for both lab and field settings: maximum voluntary contractions, Borg‟s rating of perceived exertion or discomfort scale, questionnaires and fatigue scales, and visual analog scales. The results might serve as a resource for researchers or practitioners when selecting measures to address multiple fatigue outcome domains and to satisfy context-based practicality.
Studies on transduction by bacteriophage P1

The original aim of this thesis was to address the origin of the abortive transduction protein (TPA), which appears to j oin the ends of transduced DNA and render it refractory to d egradation by host nuclease and recombination with the chromosome. We planned to isolate abortively transduced DNA (ATD) from transduced cells, which should have TPA attached, in order to characterize it. To increase the packaging of transducing DNA and TPA, a pac site was inserted into the "donor" chromosome which was labeled with BU to make it heavy. CsC1 equilibrium gradients were used to separate the transducing from infectious particles, and the ATD-TPA complex was purified from transduced cells. This method proved technically difficult and I did not succeed in purifying sufficient ATD-TPA to characterize. I developed an alternative method hoping to increase the yield. Exonuclese V (RecBCD) was used to remove linear DNA from transduced cells, which should include fragmented host DNA but leave ATD intact as it is circular. HoweVer, the ExoV did not work efficiently in crude cell lysates; and the method would need to be developed further to have any chance of success. I decided instead to study P1 packaging of transducing DNA further. The argB gene was replaced with the PlcoR1-2O fragment, which contains pac. Transduction and UV irradiation showed that transduction frequencies of chromosomal markers close to pac were increased several hundred fold and could be further increased by UV irradiation, indicating that TPA was likely to be bound as normal. Southern blotting demonstrated that packaging is unidirectional; that increase in transduction frequency decreases with distance from pac and that the packaging of markers up to 30min from pac was increased. 4 further pac sites were placed at intervals on the chromosome. Strains containing different numbers of pac sites were analyzed by transduction, titration, and hybridization. Some novel phenotypes were observed. First, the time when cells start to lyse after P 1 infection is delayed in multipac-containing strains, suggesting that in W T strains P1 starts packaging viral DNA earlier than in multi-pac strains; perhaps because the pac sites on the chromosome compete for recognition and cleavage by Pacase. Furthermore, strains which have more than 2 pac sites give very poor plate lysates, Whose titers are 1000-fold lower than WT (or one-pac-containing strain). However transduction frequencies are greatly elevated. This suggests there is a limiting material, which could be used up when there are more than 2 pac sites on the chromosome, and that there is competition for it in the formation of transducing vs infectious phages. The Pacase enzyme is a likely candidate for this substance.
End-To-End Detection Of Attacks To Automatic Speaker Recognizers With Time-Attentive Light Convolutional Neural Networks

In this contribution, we introduce convolutional neural network architectures aiming at performing end-to-end detection of attacks to voice biometrics systems, i.e. the model provides scores corresponding to the likelihood of attack given general purpose time-frequency features obtained from speech. Microphone level attackers based on speech synthesis and voice conversion techniques are considered, along with presentation replay attacks. While the convolutional models yield a sequence of representations corresponding to different parts of the input at varying time steps, concatenated first and second-order statistics pooled from the outputs of a self-attention layer are used as a fixed-dimension representations of utterances of varying length, which are then input into a set of fully connected layers to finally yield scores. Evaluation of the proposed framework is performed with data from ASVspoof 2019 challenge yielding relative improvements higher than one order of magnitude in terms of equal error rate over two baseline systems provided by ASVspoof 2019’s organizers, and significant improvements over the benchmark systems we evaluated.
Running a Successful Textile Diploma Course in a Remote Indian Town-A Case Study

Indian Textile industry is unique in many ways. It is the second largest employer and depends heavily on the largest employer - agriculture. It has been successful in automating most of its operations. So, instead of employing unskilled labor, it is now looking for skilled labor and facing significant challenges in finding them - even though the national unemployment has been hovering at around 9 %. The situation demanded a different approach such as setting up textile training courses in a remote area where employment is a larger issue and working closely with the industry to develop highly employable graduates. The paper describes a successful case study ofsetting up a four year diploma course in close collaboration with the industry in a remote town of Shirpur in North Maharashtra (India). That required a team of faculty that could inspire confidence in the industry personnel and adopting progressive educational methods such as active learning and mentoring. The school was started in 2007 and has produced 200 diploma holders with cent percent placement. This is far above similar other institutes. These students from rural and semi-rural area are fetching salaries that are higher than even graduate engineers. Thus the experiment has succeeded in its twin objectives of rural development and workforce development for one of the most critical industry of the country.
Classification and Prediction of Software Incidents Using Machine Learning Techniques

An incident, in the perception of information technology, is an event that is not part of a normal process and disrupts operational procedure. This research work particularly focuses on software failure incidents. In any operational environment, software failure can put the quality and performance of services at risk. Many efforts are made to overcome this incident of software failure and to restore normal service as soon as possible. The main contribution of this study is software failure incidents classification and prediction using machine learning. In this study, an active learning approach is used to selectively label those data which is considered to be more informative to build models. Firstly, the sample with the highest randomness (entropy) is selected for labeling. Secondly, to classify the labeled observation into either failure or no failure classes, a binary classifier is used that predicts the target class label as failure or not. For classification, Support Vector Machine is used as a main classifier to classify the data. We derived our prediction models from the failure log files collected from the ECLIPSE software repository.
Development and Initial Validation of the Early Elementary Writing Rubric to Inform Instruction for Kindergarten and First-Grade Students

This article describes the development of the Early Elementary Writing Rubric (EEWR), an analytic assessment designed to measure kindergarten and first-grade writing and inform educators’ instruction. Crocker and Algina’s (1986) approach to instrument development and validation was used as a guide to create and refine the writing measure. Study 1 describes the development of the 10-item measure (response scale ranges from 0 = Beginning of Kindergarten to 5 = End of First Grade). Educators participated in focus groups, expert panel review, cognitive interviews, and pretesting as part of the instrument development process. Study 2 evaluates measurement quality in terms of score reliability and validity. Data from writing samples produced by 634 students in kindergarten and first-grade classrooms were collected during pilot testing. An exploratory factor analysis was conducted to evaluate the psychometric properties of the EEWR. A one-factor model fit the data for all writing genres and all scoring elements were retained with loadings ranging from 0.49 to 0.92. Internal consistency reliability was high and ranged from . 89 to . 91. Interrater reliability between the researcher and participants varied from poor to good and means ranged from 52% to 72%. First-grade students received higher scores than kindergartners on all 10 scoring elements. The EEWR holds promise as an acceptable, useful, and psychometrically sound measure of early writing. Further iterative development is needed to fully investigate its ability to accurately identify the present level of student performance and to determine sensitivity to developmental and instruction gains.
A simple configuration of beam steering substrate integrated waveguide aperture antenna loaded with metamaterials

This letter presents a novel broadband substrate integrated waveguide aperture antenna with simple structure and beam steering performance. By using the left‐hand and band gap characteristics of the mushroom‐shaped metamaterials, the main beam of the substrate‐integrated waveguide aperture antenna can be easily switched between the back‐fire and boresight directions. Above all, the beam scanning characteristic does not depend on three‐dimensional structures or complex loaded structures, therefore it is a promising technology for designing planar two dimensional beam steering array. Experimental results indicate that the impedance bandwidth of the antenna covers the frequency range from 13.3 to 16.7 GHz and the relative bandwidth is 22.7%. The accordance between the simulated and measured E‐plane radiation pattern of the antenna at three representative frequencies verifies the beam steering capability of the proposed antenna.
Exploring the Efficiency of BIGDATA Analyses in SHM

In SHM, BIGDATA is currently perceived as the result of special applications such as long-term monitoring, dense sensor arrays, or high sampling rates. Along the development of novel sensing techniques as well as advances in sensing devices and data acquisition technology, it is expected that BIGDATA will become more easily obtained. In a previous study, the evaluation of selected SHM procedures exemplified computational challenges for BIGDATA. It was concluded that processing BIGDATA in SHM can be prohibitive, especially when incorporating more sensors into the analysis. This paper focuses on the relationship between sensor network size and information extracted by an SHM procedure, e.g., system identification or damage detection. An application is presented to study the accuracy and effectiveness of these procedures as more sensors are included in the datasets. doi: 10.12783/SHM2015/369
Effects of Temperature and Humidity on Fungal Occurrence in Dried Red Pepper during Storage

Dried red peppers are frequently contaminated with mycotoxins during storage. To determine the effect of storage environments on fungal occurrence and subsequent mycotoxin accumulation in dried red peppers, we monitored red pepper powder and whole fruit samples for fungal occurrence under various temperatures and relative humidity (RH) conditions during 340 days. Fungal occurrences fluctuated in both pepper forms throughout the storage but they were higher in pepper powder than whole one, higher under low temperatures (-20°C, 0°C, or 4°C) than others (10°C, 25°C, or 30°C), and higher under RH 93% than RH 51% and 69% in both peppers. The samples exhibiting high fungal occurrences were associated mainly with dominant species such as Aspergillus sydowii, Penicillium solitum, P. roqueforti, P. polonicum, or P. chrysogenum. Mycotoxigenic species, including A. flavus, A. ochraceus, A. westerdijkiae, A. tubingensis, and P. citrinum, were also detected throughout the samples. Although mycotoxins were not detected in the samples, mycotoxigenic potential of A. flavus, A. ochraceus, and A. westerdijkiae isolates were confirmed. These results show that low temperatures (-20°C, 0°C, or 4°C) and/or high surrounding RH (>93%) are not safe environments for storage of dried red peppers as fungal growth can occur under these conditions.
The Digital Consumer Profile in 5.0 Societs In Strategic Marketing Managment

A digital consumer is defined as a person who can use advanced technology tools, do market research quickly through search engines, communicate with other consumers, and direct the overall process at every stage from product design to purchasing and after-sales service. Today, consumers use computer technology to make purchases and as a result, the definition of the digital consumer concept emerges. A digital consumer is a person who uses the internet to get information about a specific product they want to buy from any category or directly with a device with internet access. This article reviews research on the role of digital consumers in 5.0 societies. The purpose of this article is to explain the essence of the digital consumer concept, highlight key points about the behavior of digital consumers, and guide future research on the digital consumer. In the article, a comprehensive literature review has been made on five headings: digitalization of consumption, types of digital consumers, purchasing stages of digital consumers, factors affecting the purchasing behaviors of digital consumers. It has become clear as a result of the literature research on the digitalization of consumption and digital consumer concepts. In this research, it has been tried to create a digital consumer profile and their roles in 5.0 societies by making literature research within the scope of digital consumer types, trends they create today, purchasing stages and factors affecting purchasing behavior.