Miracle-dz/UniFAR-FTUs huggingface dataset:
Dissecting the site: place, space and memory at the old Manchester Royal Infirmary

In this practice-led research I set out to understand how mapping could be used to both recover and memorialise memories of lost places in the site of the recently redeveloped Manchester Royal Infirmary. Bringing together practiceled, person-centred and experiential approaches, I developed a methodology which fit my personal creative process, aligned with developments in mapping such as performative mapping and the use of mapping to communicate things not normally acknowledged on the cartographic map. Methods of data collection have included walking interviews, archival research, artist’s residency and visual methods, including film, photography, animation, drawing, and performance, with the approaches developed through an iterative process. Following walking interviews with people who had different jobs in the hospital, past and present, I developed my “drawing interview” method in which participants remembered place while creating drawn maps using iPad technologies. The interviews and drawings were edited into a film: ‘Drawing Back’. This research began with the instinct that memories were embedded in place, and with the question of how to recover these memories once places had changed or been demolished. This research shows that counter-cartographic practices can effectively map the lost hospital site, and uncover unrecorded memories. Screening the film in the new hospital shows the contested nature of the space, and the visualisation of memories in the film appears to create effective memorials through adding to the collective memory of the site. This practice-led research has led me to explore process-based working which I have described as ‘arting’ as a recognition that it is ongoing, and involves both participants and viewers of the film. It has also highlighted the implicitly performative nature of my artwork, leading me to explore this aspect of my practice further, and to experiment with performance art.
Mid technology potential for RF passive components and antennas

MID (Molded Interconnect Devices) technology, owing to their electrical performance,flexibility in RF circuits, its potential to reduce the number of components, process steps andminiaturization of the final product, has led to some new constraints to the RF (RadioFrequency) and microwave domain. Molded components are interconnected withthermoplastic substrates and conductive traces are injected on the surface. The objective ofthis thesis is to study the compatibility of MIDs for RF applications. The advantages of MIDtechnology in the RF domain is exploited for transmission lines, passive filters, directionalcouplers and planar and 3D antennas realization. The RF characterization of various MIDsubstrate materials and the study of the performance of the above RF components based onvarious MID fabrication technologies are included in the thesis. Finally, an permittivityimprovement study of some thermoplastics are also studied.
HFENet: A lightweight hand‐crafted feature enhanced CNN for ceramic tile surface defect detection

Inkjet printing technology can make tiles with very rich and realistic patterns, so it is widely adopted in the ceramic industry. However, the frequent nozzle blockage and inconsistent inkjet volume by inkjet printing devices, usually leads to defects such as stayguy and color blocks in the tile surface. Especially, the stayguy in complex pattern is difficult to identify by naked eyes due to it is easily covered by complex patterns and becomes invisible, this brings great challenge to tile quality inspection. Nowadays, the machine learning is employed to address the issues. The existing machine learning methods based on hand‐crafted features are capable of stayguy detection of the tiles with a simple pattern, but not applicable for complex patterns due to the interference of pattern in feature extraction. The emerging deep‐learning‐based methods have the potential to be applied for stayguy detection with complex patterns, but cannot achieve real‐time detection due to high complexity. In this paper, a lightweight hand‐crafted feature enhanced convolutional neural network (named HFENet) is proposed for rapid defect detection of tile surface. First, we perform data enhancement on the original image by global histogram equalization and image addition. Second, for the special shape of stayguy which is usually vertical, we embed the extended vertical edge detection operator (Prewitt) as convolution kernel into HFENet to extract the hand‐crafted vertical edge features of the test image and eliminate the interference of complex pattern in the feature extraction. Third, the 5 × 1 asymmetric convolution kernel with a dilation rate of 2 is used to improve the utilization of convolution kernel and reduce the complexity of the model. Fourth, to reach the real‐time requirements, a memory access cost‐aware design is proposed, which can orchestrate the number of shallow convolution layers and deep convolution layers in feature extraction. The experiments were performed on the ceramic tile image data set captured by high‐resolution industrial cameras in ceramic tile production line. Experimental results show that the HFENet outperforms the state‐of‐the‐art semantic segmentation networks (i.e., UNet, FCN‐8s, SegNet, DeepLabV3+, etc.) and lightweight networks (i.e., ShuffleNet, MobileNet, and SqueezeNet). All the code and data are available at a GitHub repository (https://github.com/RobotvisionLab/HFENet).
OsVTC1-1 RNAi Mutant with Reduction of Ascorbic Acid Synthesis Alters Cell Wall Sugar Composition and Cell Wall-Associated Proteins

Ascorbic acid (AsA) or Vitamin C is an antioxidant molecule and plays an important role in many biological processes in plants. GDP-D-mannose pyrophosphorylase (GMP or VTC1) catalyzes the synthesis of GDP-D-mannose, which is a precursor for AsA production and is used for cell wall polysaccharide and glycoprotein synthesis. In rice, the OsVTC1 gene consists of three homologs, including OsVTC1-1, OsVTC1-3 and OsVTC1-8. In this study, we characterized wild type (WT) and OsVTC1-1 RNAi lines (RI1-2 and RI1-3) and showed that the transcript levels of most genes in the AsA synthesis pathway, AsA content and leaf anatomical parameters in RNAi lines were reduced, revealing that OsVTC1-1 is involved in AsA synthesis. To further study the role of OsVTC1-1 gene, cell wall monosaccharide composition, transcriptome and proteome were compared, with specific attention paid to their wild type and OsVTC1-1 RNAi lines. Mannose and galactose composition (mole%) were decreased in OsVTC1-1 RNAi lines. Additionally, reduction of cell wall-associated proteins, such as kinesin, expansin, beta-galactosidase and cellulose synthase were observed in OsVTC1-1 RNAi lines. Our results suggest that OsVTC1-1 gene plays an important role in AsA synthesis and in cell wall-related processes.
Network Pharmacology and In Vivo Analysis of Dahuang-Huangqi Decoction Effectiveness in Alleviating Renal Interstitial Fibrosis

Dahuang and Huangqi are the most frequently prescribed treatment methods for chronic kidney disease in China. Our study aimed to clarify the pharmacological mechanism of action of Dahuang-Huangqi decoction (DHHQD) in renal interstitial fibrosis (RIF). The intersection of genes targeted by DHHQD active ingredients and RIF target genes was searched using network pharmacology to build a chemical ingredient and disease target network. For in vivo analysis, Sprague–Dawley rats with unilateral urethral obstruction (UUO) were administered DHHQD, and their kidney function-related indicators and pathological indices were determined. The expression of core targets was quantified using real-time polymerase chain reaction and western blotting. A total of 139 common targets for DHHQD and RIF in chronic kidney disease were detected. Compared with the untreated UUO rats, the DHHQD-treated rats showed reductions in the following: blood urea nitrogen and serum creatinine levels, kidney tubular atrophy and necrosis, interstitial fibrosis, hyperplasia and abnormal deposition of extracellular matrix, and microstructural changes in the mesangial matrix and glomerular basement membrane. DHHQD treatment significantly regulated the levels of renal core proteins, such as eNOS, IL-6, EGFR, and VEGF and reduced the mRNA and protein expression of the core targets involved in inflammation pathways, such as PI3K/AKT and TLR4/NF-κB. DHHQD treatment ameliorated the severity of RIF by potentially regulating the AKT/PI3K and TLR4/NF-κB signaling pathways. Our study findings provide insights into the mechanisms associated with DHHQD action and essential data for future research.
Revised Taxonomy of Rhabdoviruses Infecting Fish and Marine Mammals

Simple Summary The Rhabdoviridae is a family of viruses that includes some important pathogens of fish and marine mammals. Aspects of the taxonomic classification of fish viruses assigned to this family have recently been reviewed by the International Committee on Taxonomy of Viruses (ICTV). This paper describes the newly approved taxonomy, including the assignment of new subfamilies and new virus species. The paper also considers a taxonomic conundrum presented by viruses assigned to one group of fish rhabdoviruses (genus Novirhabdovirus) for which assignment to the family Rhabdoviridae may not be appropriate. Abstract The Rhabdoviridae is a large family of negative-sense (-) RNA viruses that includes important pathogens of ray-finned fish and marine mammals. As for all viruses, the taxonomic assignment of rhabdoviruses occurs through a process implemented by the International Committee on Taxonomy of Viruses (ICTV). A recent revision of taxonomy conducted in conjunction with the ICTV Rhabdoviridae Study Group has resulted in the establishment of three new subfamilies (Alpharhabdovirinae, Betarhabdovirinae, and Gammarhabdovirinae) within the Rhabdoviridae, as well as three new genera (Cetarhavirus, Siniperhavirus, and Scophrhavirus) and seven new species for viruses infecting fish or marine mammals. All rhabdovirus species have also now been named or renamed to comply with the binomial format adopted by the ICTV in 2021, comprising the genus name followed by a species epithet. Phylogenetic analyses of L protein (RNA-dependent RNA polymerase) sequences of (-) RNA viruses indicate that members of the genus Novirhabdovirus (subfamily Gammarhabdovirinae) do not cluster within the Rhabdoviridae, suggesting the need for a review of their current classification.
Phonological acquisition of European Portuguese oral vowels: A forced-choice identification study with Hungarian native speakers

Auditory perceptual experiments with Portuguese L2 are scarce, especially within the scope of the European variety (EP). In this study, we aim at observing the assimilation of the EP vowels [ɐ] and [ɨ] by Hungarian native speakers, and their perceptual learning after some contact with Portuguese. A multiple forced-choice identification experiment was run with two groups of Hungarian speakers – a group with and a group without previous contact with EP. The results show that the categorization fell into the closest phonetic categories of the L1. The results also indicate a learning effect for [ɨ], with a recategorization path from [y] to [ø]. As for [ɐ], no major differences were observed between groups. This result is consistent with difficulties observed in the classroom environment, where [ɐ] is particularly challenging to Hungarian learners.
A brief introduction to contemporary electrokinetics

The first notion of ions comes from Michael Faraday, and since then, many successes in understanding their nature have been achieved. The motion of charged molecules is necessary to maintain the energy flux through all living organisms, constantly accompanying energy conversion and storage at the cellular level. The industry uses them alike: for energy and chemical processing. The motion of charged particles is also used for entertainment, e.g. pitching thrill in motorsports when kinetic energy recovery systems provide immediate access to power stored in supercapacitors during the most dynamic manoeuvres. However, after almost 200 years, there are still many open, technological, and fundamental questions. The reader will find a perspective on fundamental and vibrantly researched phenomena, including ion transport, and ideas essential to understanding them.
Identification of a Ferroptosis-Related Prognostic Signature in Sepsis via Bioinformatics Analyses and Experiment Validation

Ferroptosis is a new type of programmed cell death that is different from apoptosis, cell necrosis, and autophagy, which might be involved in development of sepsis. However, the potential role of ferroptosis-related genes (FRGs) in sepsis remained unclear. We identified 41 ferroptosis-related differential expression genes by weighted correlation network and differential expression analysis. The hub module of 41 ferroptosis-related differential expression genes in the protein-protein interaction network was identified. Next, we estimated diagnostic values of genes in hub modules. TLR4, WIPI1, and GABARAPL2 with high diagnostic value were selected for construction of risk prognostic model. The high risk-scored patients had significantly higher mortality than the patients with low risk scores in discovery dataset. Furthermore, the risk scores of nonsurvivor were higher than those of survivor in validation dataset. It suggested that risk score was significantly correlated to prognosis in sepsis. Then, we constructed a nomogram for improving the clinical applicability of risk signature. Moreover, the risk score was significantly associated with immune infiltration in sepsis. Our comprehensive analysis of FRGs in sepsis demonstrated the potential roles in diagnosis, prognosis, and immune infiltration. This work may benefit in understanding FRGs in sepsis and pave a new path for diagnosis and assessment of prognosis.
Update on Gastrointestinal Biorelevant Media and Physiologically Relevant Dissolution Conditions

Dissolution testing constitutes one of the most widely used in vitro performance tests during drug development and routine quality control testing. It monitors the rate and extent of in vitro drug release (batch release test), and it is often used to ensure consistent in vivo performance. The purpose of this review is to summarize and update the many physiologically adapted media and buffers proposed over the years, focusing on the upper gastrointestinal tract because this is where most drug absorption occurs. Emphasis will be given on the application of bicarbonate-based media because this is the major buffering species in the human intestinal lumen. Due to the pragmatical difficulties of using bicarbonate-based dissolution media, surrogate media with simpler buffer systems are desirable. Herein we describe some of the proposed models and different approaches to develop such substitutes. Special consideration has to be taken when dealing with enteric coated (delayed release) formulations because the interaction of coating polymer with bicarbonate is very complex. All factors considered, using physiologically relevant conditions can ameliorate the risks and enable drug development with increased likelihood to select formulations with the desired in vivo performance.
Pengaruh Guided Discovery Learning Terhadap Pemecahan Masalah Matematis dan Self-Efficacy Siswa

The Effect of Guided Discovery Learning Towards Student’s Mathematical Problem Solving and Self-Efficacy. This experimental research aimed to find out of effect of guided discovery learning model towards student’s problem solving skill and self-efficacy. The population in this research was all students of grade 8th of SMPN 12 Bandar Lampung in academic year 2018/2019 as many as 299 students, that distributed into ten classes. The student of class VIII B as many as 28 students and class VIII C as many as 31 students were selected as research samples by cluster random sampling technique. The design used in this research was the pretest-posttest control group design. The data in this research was quantitative data that obtained by mathematical problem solving test and self-efficacy scale. The data were analized used t-test and Mann-Whitney U test with α=0,05. The result of analysis data was known that there’s been a change in the student’s problem solving skill and student’s self-efficacy. Those change indicate that there is an increase of the data student’s problem solving skill and student’s self-efficacy through guided discovery learning model was higher than the data of student’s problem solving skill and student’s self-efficacy through nonguided discovery learning model. So that, guided discovery learning model has effect towards the student’s mathematical problem solving skill and self-efficacy. Keyword: guided discovery learning, mathematical problem solving, self-efficacy Abstrak: Pengaruh Guided Discovery Learning Terhadap Pemecahan Masalah Matematis dan Self-Efficacy Siswa. Penelitian ini bertujuan untuk mengetahui pengaruh model guided discovery learning terhadap kemampuan pemecahan masalah matematis dan self-efficacy siswa. Populasi penelitian adalah 299 siswa kelas VIII SMP Negeri 12 Bandar Lampung tahun pelajaran 2018/2019 yang terdistribusi dalam sepuluh kelas. Siswa kelas VIII B (28 siswa) dan VIII C (31 siswa) terpilih sebagai sampel penelitian dengan teknik cluster random sampling. Desain yang digunakan adalah pretest-posttest control group. Data penelitian berupa data kuantitatif yang diperoleh dari hasil tes kemampuan pemecahan masalah matematis dan skala self-efficacy. Analisis data menggunakan uji-t dan uji Mann-Whitney U dengan α=0,05. Dari hasil analisis data, terdapat perubahan yang ditunjukkan dengan adanya peningkatan pada kemampuan pemecahan masalah dan self-efficacy siswa dengan model guided discovery learning yang lebih tinggi daripada siswa dengan model non-guided discovery learning. Dengan demikian, model guided discovery learning berpengaruh terhadap kemampuan pemecahan masalah matematis dan self-efficacy siswa. Kata kunci: guided discovery learning, pemecahan masalah matematis, self-efficacy Jurnal Pendidikan Matematika, Vol. 7, No. 3, 2019
The impact of 3D printing

It's not easy being a successful Australian manufacturer in the current environment - it is a whole new ballgame than it was 10 years ago. With the digital evolution, coupled with the changing purchasing behaviour of consumers, the traditional model of manufacturing and distribution is rapidly evolving as organisations are looking at technological advances to transform their businesses and gain a competitive advantage.
Proline metabolism regulation in Spartina alterniflora and SaP5CS2 gene positively regulates salt stress tolerance in transgenic Arabidopsis thaliana

ABSTRACT It has been discovered that many plants accumulate proline in response to osmotic stress. However, the interaction between salinity stress and proline metabolism-related genes has not been unequivocally identified in Spartina alterniflora. In our research, we successfully cloned key genes: SaP5CS1 and SaP5CS2, SaOAT, SaProT and correlated with expression profiles including SaPDH were also investigated. As the key enzyme genes for proline metabolism, the up-regulated expression of SaP5CS2 played a leading part under salt stress. Chlorophyll contents decreased gradually degree in leaves with prolonged salt stress time. Additionally, transgenic Arabidopsis overexpressing SaP5CS2 showed high tolerance to salt stress and accumulated more proline and H2O2 content was also reduced in salt stress condition. This study provided a foundation for deciphering the molecular osmoregulation underlying proline metabolism in S. alterniflora and SaP5CS2 may play an important role in conferred salinity tolerance by the regulation of proline.
Ligula intestinalis infection of Pseudorasbora parva in Hirfanlı Dam Lake, Kırşehir, Turkey

Ligula intestinalis was found during the parasitological investigations of Pseudorasbora parva specimens collected from Hirfanlı Dam Lake, Turkey. It was found that 8.78% of all specimens were infected with L. intestinalis including 17 female (3.8%) and 22 males (4.95%). It was determined that the length–weight relationship equivalents of infected individuals with population differed from those of non-infected individuals. The b value of the infected individuals was found to be lower than the b value of the non-infected individuals. It is thought that the results obtained in this study will be beneficial in preserving and improving the ecological potential of the lake.
Methodological issues with value-based decision-making (VBDM) tasks: The effect of trial wording on evidence accumulation outputs from the EZ drift-diffusion model

Abstract Most value-based decision-making (VBDM) tasks instruct people to make value judgements about stimuli using wording relating to consumption, however in some contexts this may be inappropriate. This study aims to explore whether variations of trial wording capture a common construct of value. This is a pre-registered experimental study with a within-subject design. Fifty-nine participants completed a two-alternative forced-choice task where they chose between two food images. Participants completed three blocks of trials: one asked which they would rather consume (standard wording), one asked which image they liked more, and one asked them to recall which image they rated higher during a previous block. We fitted the EZ drift-diffusion model to the reaction time and choice data to estimate evidence accumulation (EA) processes during the different blocks. There was a highly significant main effect of trial difficulty, but this was not modified by trial wording (F = 2.00, p = .11, ηp 2 = .03, BF10 = .05). We also found highly significant positive correlations between the EA rates across task blocks (rs > .44, ps < .001). The findings provide initial validation of alternative wording in VBDM tasks that can be used in contexts where it may be undesirable to ask participants to make consummatory judgements.
Earning Your Cap: A Comprehensive Analysis of the University of Texas System&Apos;S Coordinated Admissions Program

The competitive application process is the traditional path to gain access to selective public universities. There is little research on alternative pathways to gain access to selective public universities. In this manuscript, we use the fuzzy regression discontinuity design to study the impact of transferring to the University of Texas at Austin. We find that gaining access via this path has an impact on choice of major, financial aid, and earnings.
SVD-VMD algorithm and its application in leak detection of natural gas pipeline

Abstract In the study of pipeline leak detection, it is arduous to identify the expected target accurately because of the influence of various noises in practicable application. In order to realize the effective identification of pipeline signals under different working conditions. An integrated leak detection method based on singular value decomposition (SVD) and variational mode decomposition (VMD), as well as probabilistic neural network (PNN), that is SVD-VMD-PNN, is proposed. First, a novel index based on the relative change rate of singular value energy (SVE) is presented to determine the reconstructed order of singular values effectively. Second, the optimal K and can be selected adaptively by using the arithmetic optimization algorithm (AOA). The ratio of the mean and variance of the dispersion entropy (DE) is used as the fitness function of AOA. Subsequently, the feature vectors based on the energy entropy of each sub-mode for leak detection are extracted. Finally, PNN is employed for leak detection. The laboratory experiments classification results indicate that the proposed SVD-VMD-PNN method can achieve high accuracy of 100% to identify the leak signal and non-leak signal, it is further verified that the proposed method is feasible and superior to other methods.