Miracle-dz/UniFAR-FTUs huggingface dataset:
Immunodiagnosis of bunchy top viruses in abaca with polyclonal antibodies against their recombinant coat proteins

Abstract Polyclonal antibodies against abaca bunchy top virus (ABTV) and banana bunchy top virus (BBTV) proteins are necessary for immuno-based detection of these two viruses in abaca (Musa textilis Nee). In this study, recombinant bunchy top viral coat proteins fused with a 6xHis tag at the N-terminus were expressed in E. coli BL21StarTM(DE3)pLysS strain and purified under denaturing conditions. Purified recombinant ABTV and BBTV coat proteins were used as antigens for the production of rabbit polyclonal antibodies. IgG was purified and evaluated by Direct Antigen Coating (DAC)-ELISA and further optimized by testing primary to secondary antibody dilution combinations. Analysis of ABTV and BBTV-infected abaca samples using the optimized DAC-ELISA assay showed that the anti-ABTV CP IgG can react to BBTV and that anti-BBTV CP IgG can react to ABTV, hence, a cross-reaction. The study demonstrates the advantage of using recombinant DNA technology for mass production of antigens for antibody production. Although specificity of the polyclonal antibodies may have been compromised when renatured recombinant proteins were used as immunogens, the ability of the purified IgGs to detect positive abaca samples reveals that the DAC-ELISA can be routinely used for screening disease-free abaca planting materials.
Exploitation of Robust AoA Estimation and Low Overhead Beamforming in mmWave MIMO System

The limited spectral resource for wireless communications and dramatic proliferation of new applications and services directly necessitate the exploitation of millimeter wave (mmWave) communications. One critical enabling technology for mmWave communications is multiinput multi-output (MIMO), which enables other important physical layer techniques, specifically beamforming and antenna array based angle of arrival (AoA) estimation. Deployment of beamforming and AoA estimation has many challenges. Significant training and feedback overhead is required for beamforming, while conventional AoA estimation methods are not fast or robust. Thus, in this thesis, new algorithms are designed for low overhead beamforming, and robust AoA estimation with significantly reduced signal samples (snapshots). The basic principle behind the proposed low overhead beamforming algorithm in timedivision duplex (TDD) systems is to increase the beam serving period for the reduction of the feedback frequency. With the knowledge of location and speed of each candidate user equipment (UE), the codeword can be selected from the designed multi-pattern codebook, and the corresponding serving period can be estimated. The UEs with long serving period and low interference are selected and served simultaneously. This algorithm is proved to be effective in keeping the high data rate of conventional codebook-based beamforming, while the feedback required for codeword selection can be cut down. A fast and robust AoA estimation algorithm is proposed as the basis of the low overhead beamforming for frequency-division duplex (FDD) systems. This algorithm utilizes uplink transmission signals to estimate the real-time AoA for angle-based beamforming in environments with different signal to noise ratios (SNR). Two-step neural network models are designed for AoA estimation. Within the angular group classified by the first model, the second model further estimates AoA with high accuracy. It is proved that these AoA estimation models work well with few signal snapshots, and are robust to applications in low SNR environments. The proposed AoA estimation algorithm based beamforming generates beams without using reference signals. Therefore, the low overhead beamforming can be achieved in FDD systems. With the support of proposed algorithms, the mmWave resource can be leveraged to meet challenging requirements of new applications and services in wireless communication systems.
Separation of Heavy Lanthanoids by Flash Column Chromatography for Precise Determination of Er and Yb Isotope Compositions in Rock Samples

We present a new column chemistry technique for the quantitative separation of heavy lanthanoids by an ultra‐fine‐grained LN resin (20–50 µm) with a specific emphasis on the purification of Er and Yb for their isotopic analysis. To achieve the quantitative separation of Er and Yb within a reasonable timescale, flash column chromatography was applied, where the column was attached to a newly designed vacuum box system, thus accelerating the elution speed by ten times compared with that of the normal column procedure operated by gravity flow. The recovery yields of Er and Yb were confirmed to be approximately 100%, which is important to suppress the effect of the mass‐independent fractionation of the Er and Yb isotopes during chromatography. Additionally, we have developed precise Er and Yb isotope measurements by thermal ionisation mass spectrometry (TIMS) using multistatic and/or dynamic methods. Moreover, in most cases, the Er and Yb isotope compositions of the measured four terrestrial rock samples were indistinguishable from those of the commercially available Er and Yb Alfa Aesar solutions. The new method presented in this work will be useful for future studies on heavy lanthanoids in various geological materials.
Characterization of the complete chloroplast genome of Ginkgo biloba L. (Ginkgoaceae), an endangered species endemic to China

Abstract Ginkgo biloba L. is the oldest relict plant among the gymnosperms, left after the quaternary glacial movement. There are few living G. biloba and few old trees over a hundred years old. It is currently on the International Union for Conservation of Nature (IUCN) red list of threatened species. In this study, we first assembled the complete chloroplast (cp) genome of G. biloba L. by Illumina paired-end reads data. The whole genome was 156,988 bp, consisting of a pair of inverted repeats of 34,056 bp, large and small single copy regions of 56,819 and 22,763 bp in length, respectively. The cp genome contained 131 genes, including 84 protein-coding genes, 31 trRNA genes and 5 rRNA genes. The overall GC content of the whole genome was 39.6%. A neighbour-joining phylogenetic analysis demonstrated a close relationship between G. biloba L. and Cycas revoluta.
Adaptive Trust Management for Soft Authentication and Progressive Authorization Relying on Physical Layer Attributes

Conventional authentication mechanisms routinely used for validating communication devices are facing significant challenges. This is mainly due to their reliance on both ‘spoofable’ digital credentials and static binary characteristic, and inevitable misdetection in physical layer authentication using time-varying attributes, leading to the cascading risks of security and trust. To circumvent these impediments, we develop an adaptive trust management based soft authentication and progressive authorization scheme by intelligently exploiting the time-varying communication link-related attribute of the transmitter to improve wireless security. First of all, the trust relationship between the transmitter and receiver is established based on the evaluation of selected physical layer attribute for fast authentication and multiple-level authorization. Through the designed trust model, the transmitter is authorized by the specific level of services/resources corresponding to its trust level, so that soft security is achieved. To dynamically update the trust level of the transmitter, we propose an online conformal prediction-based adaptive trust adjustment algorithm relying on the real-time validation of its attribute estimates at the receiver, thus resulting in progressive authorization. The performance of our scheme is theoretically analyzed in terms of its individual risk and individual satisfaction. Our simulation results demonstrate that the proposed scheme significantly improves the security performance and robustness in time-varying environments, and performs better than the static binary authentication scheme and existing physical layer authentication benchmarker.
Utilizing Documentary Film as a Pedagogical Methodology: Exploring the Student Experience Through Writing to Learn After Viewing The Rebound: A Wheelchair Basketball Story

This study explored the effect of a documentary film on college students through the write-to-learn (WTL) process, including how students experience the film, their feelings about the experience, and the manner in which the film informed perceptions of or actions toward inclusion and disability sport. A convenience sample of 204 undergraduate students enrolled in a general education lifetime fitness and wellness kinesiology course (Mage = 19.89; 55.4% female, 81.8% Caucasian) completed a short questionnaire. After data collection was complete, long-format responses were compiled into a spreadsheet and open coded by the first and third authors independently. In total, participants’ responses were coded into 332, 258, and 240 codes for the first, second, and third long-format questions,respectively. The most common response categories were gained new knowledge, inspirational, power of personal stories, emotional, I learned a lot, and people with disabilities are able. Disability sport experiences, including the viewing of a disability-focused documentary film, can offer a platform from which students can examine dispositions toward disability, evaluate the effect of their dispositions on other people, and potentially experience a change in perspective. Subscribe to TPE
A 0.36-V 5-MS/s Time-Mode Flash ADC With Dickson-Charge-Pump-Based Comparators in 28-nm CMOS

Dickson charge-pump (CP) is proposed here to realize a voltage-to-time converter (VTC) within an array of time-domain comparators of a 54-level time-mode subthreshold flash ADC operating at 0.36V. Two identical CPs in each of the 54 ADC slices convert the input and reference voltages into variable-slope ramp signals fed into comparators for ‘flash’ quantization. Considering the fact that the comparator’s evaluation time gets severely degraded at subthreshold input voltages, the proposed ADC delivers the maximum bandwidth by means of the inherent input voltage boosting by the Dickson CPs. The proposed architecture quantizes the analog input signal into time with CPs and then into digital domain with latches and simple logic, without using any analog-intensive circuits such as amplifiers and current sources, thus yielding a digitally friendly implementation. Measurement results show peak ENOB of 5.04-bit, SNDR of 32.1dB at the peak, power consumption of $88~\mu \text{W}$ . The conversion rate of 5 MS/s is the highest among near- and subthreshold ADCs.
Research on the Evolution of Health Information Behavior From a Chinese Perspective

China has been undergoing a tremendous development in the reform of health system and it has great effects all the citizens and the nation as a whole. This paper aims to focus on the individuals from the aspect of information behavior. It is expected that the review on health information behavior could be conducted in a systematic way. Moreover, some statistical methods and software have been occupied in order to find out the entire progress of health information behavior. Specifically, both vertical and horizontal comparison have been conducted in this study, and scientometric methods have also be used. After a systematic and profound literature review, the whole progress has been explored and the main topics of great importance have been discovered. Moreover, highly cited papers and their relationship have also been revealed.
The epidemiology of skin cancer at Dr. Cipto Mangunkusumo National Central General Hospital from 2014 to 2017

Background: The incidence of skin cancer has been increasing over the past decades globally. At present, there is no valid national cancer data in Indonesia. The purpose of this study is to evaluate the increment of skin cancer cases at Dr. Cipto Mangunkusumo National General Hospital, Jakarta. Methods: In this retrospective descriptive study, we evaluated all pigmented skin tumor cases from June 2014 to June 2017. Data were obtained from the Department of Anatomical Pathology and medical records at Dr. Cipto Mangunkusumo National General Hospital. Data were compared with previous reports. Results: From 263 skin cancer cases, the most frequent skin cancer was basal cell carcinoma (BCC; 66.9%), followed by squamous cell carcinoma (SCC; 27.4%), and malignant melanoma (MM; 5.7%). Most of the skin cancer w ere predominantly in the female population. In BCC and SCC, most of the patients were within the age group above 60 years (n = 106 and 18, respectively). In MM, the incidence is greater in age group of 41–50 years (n = 5). For BCC and SCC, the distribution sites of lesions were mostly in sun-exposed areas, whereas the distribution sites of MM were mostly in non-sun-exposed areas. Median diameters of BCC, SCC, and MM were 2, 4, and 6.5 cm, respectively. There was an increase of BCC incidence from 1996 to 2017. Conclusion: In comparison with other types, the incidence of BCC in Dr. Cipto Mangunkusumo National General Hospital is increasing. A well-documented skin cancer registry is required to establish national data of skin cancer in Indonesia. Keywords: epidemiology, incidence, basal cell carcinoma, malignant melanoma, squamous cell carcinoma
Older Adults’ Use of Online Personal Learning Networks to Construct Communities of Learning

This study investigated how retired older adults (age 55+) use the Internet and social media tools to facilitate their informal, self-directed learning by creating and maintaining online personal learning networks (oPLNs). The research examined what information and communication technologies (ICT) participants included in their oPLNs and how they used these oPLNs to activate and self-direct their informal learning. Employing the web-conferencing tool WebEx, four online focus groups and four one-to-one audio interviews were conducted allowing for a total of 15 voluntary, geographically-dispersed participants from across Canada to synchronously interact and exchange their experiences and insights regarding their oPLNs. Using a thematic analysis method, the discussion transcripts generated were analyzed to examine learning contexts, strategies to manage learning, motivation to learn and achievement of learning goals, as well as to discover emergent themes. It was clear from our findings that oPLNs provided a virtual "learning community" that supported informal, self-directed learning via learner participation and interaction opportunities fostered by ICT-based tools and processes.
Three complete genome sequences of Penguin megrivirus from ornithogenic soil, Adelie penguin and Weddell seal of Antarctica

We report the complete genome sequences of Penguin megriviruses from three different sources from Antarctica namely feces of Adelie penguin, feces of Weddell seal and ornithogenic soil. Phylogenetic analysis indicates the prevalence of very similar viruses in different sources of Antarctic environment. These genome sequences aid to understand the evolution of megriviruses in Antarctic ecology and reveal their place in global megrivirus phylogeny.
Price Discovery in a Continuous-Time Setting

We formulate a continuous-time price discovery model and investigate how the standard price discovery measures vary with respect to the sampling interval. We find that the component share (CS) measure is invariant to the sampling interval, and hence, discrete-sampled prices suffice to identify the continuous-time CS. In contrast, information share (IS) estimates are not comparable across different sampling intervals because the contemporaneous correlation between markets increases in magnitude as the sampling interval grows. We show how to back out the continuous-time IS from discrete-sampled prices under certain assumptions on the contemporaneous correlation. We assess our continuous-time model by comparing the estimates of the (continuous-time) CS and IS at different sampling intervals for 30 stocks in the United States. We find that both price discovery measures are typically stable across the different sampling intervals, suggesting that our continuous-time price discovery model fits the data very well.
Winning and losing rural localities of the post-socialist economic restructuring: case study of Czechia

Retreat from socialism at the turn of the 1980s and 1990s conditioned significant social, economic and environmental changes for former socialist countries. Transformation from the centrally planned economy under the authoritative regime to market economy and democratic system re-structured also economies of rural areas. As a result, the conversion to capitalism constructed successful rural localities enjoying growing wealth whereas, on the other hand, other rural localities struggle with high unemployment, low incomes and following emigration of qualified people. This paper, on the example of rural space in Czechia, analyses time spatial development of number of jobs on local level and reveals main factors which have been constructing economically successful and unsuccessful rural localities in the post-socialist period. Based on this, six model responses to post-socialist economic rural restructuring are identified: globally integrated service-oriented, entrepreneurial, industrialised, post-productivist, deindustrialised and post-mining and energy-producing rural localities.
Antenatal 3D USG in Unilateral Club-Foot A Rare Anomaly

Club-foot or Congenital Talipes Equinovarus (CTEV) is a commonly-encountered condition in clinical practice characterised by structural abnormality of foot resulting in its abnormal positioning. It may be unilateral or bilateral with variable severity. Prenatal diagnosis of club-foot can be made confidently by ultrasonography especially with 3D-mode. Hence, we are presenting an interesting article of unilateral club-foot diagnosed confidently by antenatal 3D-ultrasonography with discussion on its clinical relevance in the light of recent medical literature.
A systematic review on empathy measurement tools for care professionals

ABSTRACT Empathic understanding of older adults is a critical attribute required for care professionals to provide quality care and relationship-based practice. To assess care professionals’ empathy, identifying an appropriate empathy measurement tool with good psychometric properties is needed. This systematic review aimed to identify empathy measures that can be used for care professionals and evaluate the rigor of empathy measures. Eligible studies published between 1950 and 2018 were extracted from five databases. A five-criteria appraisal framework was used for quality appraisal of empathy measures. A total of 11 empathy measurement tools were included. Based on the scores of the appraisal framework, CARE, JSE and TES were the highest quality empathy measures, and the lowest quality measure was EQ. None of the measures was specifically developed to measure empathy of geriatric care professionals. This review addresses the limitations of the existing empathy measures and suggests future directions for research.
Service Scheduling Based on Edge Computing for Power Distribution IoT

: With the growing amounts of multi-micro grids, electric vehicles, smart home, smart cities connected to the Power Distribution Internet of Things (PD-IoT) system, greater computing resource and communication bandwidth are required for power distribution. It probably leads to extreme service delay and data congestion when a large number of data and business occur in emergence. This paper presents a service scheduling method based on edge computing to balance the business load of PD-IoT. The architecture, components and functional requirements of the PD-IoT with edge computing platform are proposed. Then, the structure of the service scheduling system is presented. Further, a novel load balancing strategy and ant colony algorithm are investigated in the service scheduling method. The validity of the method is evaluated by simulation tests. Results indicate that the mean load balancing ratio is reduced by 99.16% and the optimized offloading links can be acquired within 1.8 iterations. Computing load of the nodes in edge computing platform can be effectively balanced through the service scheduling.
Environment mapping, map constructing, and path planning for underwater navigation of a low-cost µAUV in a cluttered nuclear storage pond

This paper presents a novel approach that enables a low-cost µAUV (micro autonomous underwater vehicle) navigate and work safely in an enclosed cluttered underwater environment. In order to achieve a autonomy collision-free navigation in underwater, it requires a reliable approach that would allow a µAUV which equipped with sparse and inaccurate sonar sensors to map the underwater environment, a map constructing algorithm that converts the obtained data to useful information to establish a map, and a path planning algorithm that plans a collision-free path from the start to the desired goal. The proposed approach will integrate environment survey, environment reconstruction, and path planning as a completed task, which involves map acquisition and path planning. A complete simulation of the environment topology acquisition and route planning process is documented in this paper.
The “Too-Much-of-a-Good-Thing” Effect of Job Autonomy and Its Explanation Mechanism

The “Taylorian” management thinking of the outside control in the past has been unable to adapt to the current Internet era. The external control has changed to the flexible management of self-control, and the increase of job autonomy has become a trend. Job autonomy refers to the discretion of an organization to allow employees to complete tasks when, where, in what order and in what manner. In the past, the mainstream theoretical models and empirical studies have found that the job autonomy has a positive impact on employees. But currently the new research has found that the excessive job autonomy can have a negative impact on employees, and there is a “too-much-of-a-good-thing” effect. This article mainly expounds the “too-much-of-a-good-thing” effect of the job autonomy, and then, explains the effect by the two types mechanisms, “additive benefit and cost” and “interactive motivation and opportunity”. Finally, this article puts forward some issues that should be paid attention to future researches.
Improving spineboard design : evaluation of a new soft-layered spineboard in trauma care

After a serious accident, paramedics place patients with suspected spinal injuries on a hard and uncomfortable board known as a spinal board. This dissertation compared the traditional spinal board to one with an integrated mattress. The latter proved to have fewer negative side effects than the former. It was also perceived as more comfortable, with the same ability to take high-quality X-rays and CT scans. This study not only provided an easy-to-use and patient-friendly product, it also revealed new insights about the development of pressure ulcers.
The Use of The Three Factor Asset Pricing Models and Carhart Four Factors to Assess Excess Return

The research was conducted to find out which method is the best in assessing stock returns in LQ 45 companies. The populations used are companies included in the LQ 45 Index, which are the most liquid and large capitalized companies during the 2012-2016 period totaling 20 companies with purposive sampling sampling technique and the analysis technique used is multiple regression analysis. Data analysis method in this study uses statistical data processing application, SPSS, the last pared simple test is used to see models that better predict or explain excess returns. From this study it was found that both three factors and four factors have a joint effect on stock excess returns. The amount of influence on excess stock returns (Y) is 0.772 or 77% and 0.790 or 79%, respectively. Whereas based on the paired test sesults the test sample revealed that between three factors and four factors there was no significant difference in explaining excess return.