Miracle-dz/UniFAR-FTUs huggingface dataset:
Super-resolved compressive demonstrator for Earth Observation applications in the Medium Infrared: instrumental concept, optical design and expected performances

Earth Observation (EO) systems are generating an ever-increasing amount of data to be handled on board yet with limited resources, which sometimes hinders a full exploitation of the information content. In this paper, we present a demonstrator of a super-resolved compressive imager operating in whiskbroom mode in the Visible-Near Infrared (VISNIR) and Medium Infrared (MIR) spectral ranges. The demonstrator, which is under development in the frame of the EU H2020 funded SURPRISE project, is based on the use of a Digital MicroMirror Device (DMD) as a core element of its architecture and it is inspired by a single-pixel camera in order to avoid the use of large focal plane arrays. The demonstrator has 10 channels in the VNIR and two channels in the MIR and it can reach a super-resolution factor from 4 x 4 to 32 x 32, that is the ratio between the number of pixels of the image reconstructed at the end of the process and the number of pixels of the detector. Besides, on the grounds of the results obtained by image reconstruction tests on simulated datasets by using Deep Learning based algorithms, data are expected to be natively compressed with a Compression Ratio up to 50%. The study is expected to provide valuable insight for the future development of a novel class of EO instruments with improved performances in terms of ground sampling distance, native compression and on-board processing capabilities. Additional presentation content can be accessed on the supplemental content page.
The Association of Food Groups and Consumption Time with Hyperuricemia: The U.S. National Health and Nutrition Examination Survey, 2005–2018

Hyperuricemia (HUA) is associated with a wide range of diseases and increases the public health burden on society as a whole. In addition to genetic variation, diet plays a crucial role in the prevention and treatment of HUA as an important modifiable behavior. The purpose of this study is to investigate whether food groups and consumption time are associated with HUA. A total of 41,230 participants from the National Health and Nutrition Examination Survey between 2005 and 2018 were included in the study. All meals, including breakfast, lunch, and dinner, were obtained according to their corresponding Food Patterns Equivalents Database dietary data. The binary logistic regression model was used to analyze the relationship between food groups, food consumption time and HUA. We found that the intake of fruit (mixed in various forms) (OR = 0.942, 95% CI: 0.909–0.976) or freshly squeezed juices (OR = 0.915, 95% CI: 0.859–0.975), milk (OR = 0.839, 95% CI: 0.808–0.872), and eggs (OR = 0.881, 95% CI: 0.839–0.924), poultry (OR = 1.055, 95% CI: 1.033–1.077) and seafood high in n-3 fatty acids (OR = 1.068, 95% CI: 0.1.018–1.120) at dinner, eating refined grains at breakfast (OR = 0.954, 95% CI: 0.924–0.985) and dinner (OR = 0.962, 95% CI: 0.944–0.980), eating whole grains (OR = 0.908, 95% CI: 0.845–0.976) at lunch, consuming alcoholic beverages or foods at breakfast (OR = 0.748, 95% CI: 0.564–0.990)/lunch (OR = 1.118, 95% CI: 1.008–1.240)/dinner (OR = 1.127, 95% CI: 1.073–1.185) were associated with HUA. Eating particular meals at particular times of the day was related to a lower risk of HUA.
Factors Affecting Chinese Students Promote Distance Learning On the Telecommunication Platform during the COVID-19 Pandemic

Influenced by the situation of COVID-19, all Chinese students have to follow a self-isolation policy and accept distance education from home. Among telecommunication platforms, the DingTalk platform is the most popular one in China and already has more than 130 million student users. Although DingTalk provides teachers and schools with comprehensive teaching functions, there are numerous negative feedbacks from Chinese students. To analyse related problems and promote distance education successfully, this paper establishes the research model based on the COM-B Behaviour Changing theory and the Hofstede cultural theory, and it analyses specific factors affecting Chinese students’ motivation to promote distance learning on telecommunication platform under the situation of COVID-19. The research results will be beneficial to improve the distance learning system, which can attract more and more young students to accept a high-quality distance education during and after the COVID-19 pandemic.
The genome sequence of the King Ragworm, Alitta virens (Sars, 1835)

We present a genome assembly from an individual Alitta virens (the King Ragworm; Annelida; Polychaeta; Phyllodocida; Nereididae). The genome sequence is 671.2 megabases in span. Most of the assembly is scaffolded into 14 chromosomal pseudomolecules. The mitochondrial genome has also been assembled and is 15.83 kilobases in length.
A Review of Methodologies for Fake News Analysis

Nowadays, with the proliferation of different news sources, fake news detection is becoming a crucial topic to research. Millions of articles are published daily in the press, on social media, and in electronic media, and many of them may be fake. It is common for scammers to spread fake news to mislead people for malicious purposes. For researchers to be able to evaluate fake news, it is necessary to understand its diversity, how to study it, how to detect it, and its limitations. A descriptive literature review has been conducted in this paper to identify more appropriate methodologies for analysing fake news. The review found two broad classifications in the fake news research methodologies: fake news study perspectives and fake news detection techniques. Based on our literature review, we suggest four perspectives to study fake news and two major approaches to detecting it. Fake news can be studied in terms of knowledge, style, propagation and source. In order to detect fake news, there are two major approaches: manually and automatically. There are two types of manual fact-checks: expert-based and crowd-sourced. Automatic techniques are based mainly on data science methods, specifically deep learning and machine learning. A machine learning-based method was found to be more appealing when we evaluated all the automatic methods. Further research will focus on investigating the efficacy of using Bayesian methods for detecting fake news statistically because it is a flexible approach that allows for rapid updating of models in response to new data and has been successfully applied to a wide range of problems across different domains.
Community Participation in Planning Social Infrastructure Delivery in Ghana’s Local Government: A Case Study of Shai Osudoku District

The unintended consequences associated with non-inclusive participation are a key structural challenge facing Ghana’s decentralisation efforts over the past 25 years. This article uses a social transformation framework to examine the planning process in the delivery of social infrastructure. The qualitative descriptive design that draws from the naturalistic paradigm provided an in-depth exploration of stakeholder participation in planning social infrastructure delivery. Results suggest that the planning process is initiated by the district assembly within a legal framework and for which local participation is by invitation. The article argues for the setup of a local management team as part of the structure for social infrastructure delivery.
Women entrepreneurs in the Gulf States: Taking stock and moving forward

ABSTRACT The Gulf States have dedicated much attention and many resources to entrepreneurship, particularly in supporting women entrepreneurship. These efforts are reflected in the increase in research focused on women entrepreneurs in the Gulf States. The vast majority of relevant studies have explored the reasons for the low engagement of women in the economic sphere. Recent works have shifted attention to the agency of women entrepreneurs. However, most of the literature has applied Western epistemology without challenging and unpacking the unique contextual dimensions that influence women’s entrepreneurial activities in the Gulf States. This study thus systematically reviews the literature on women entrepreneurship in the Gulf States, increases the understanding of how these women are ‘doing context’ by discussing three different conceptualizations of how they enact and do context in the Gulf States, and proposes future research avenues for developing context-specific epistemologies.
Least Energy Solutions for Nonlinear Schrödinger Systems with Mixed Attractive and Repulsive Couplings

Abstract In this paper we study the ground state solutions for a nonlinear elliptic system of three equations which comes from models in Bose-Einstein condensates. Comparing with existing works in the literature which have been on purely attractive or purely repulsive cases, our investigation focuses on the effect of mixed interaction of attractive and repulsive couplings. We establish the existence of least energy positive solutions and study asymptotic profile of the ground state solutions, giving indication of co-existence of synchronization and segregation. In particular we show symmetry breaking for the ground state solutions.
Methods for modeling non-equilibrium degenerate statistics and quantum-confined scattering in 3D ensemble Monte Carlo transport simulations

Particle-based ensemble semi-classical Monte Carlo (MC) methods employ quantum corrections (QCs) to address quantum confinement and degenerate carrier populations to model tomorrow's ultra-scaled metal-oxide-semiconductor-field-effect-transistors. Here, we present the most complete treatment of quantum confinement and carrier degeneracy effects in a three-dimensional (3D) MC device simulator to date, and illustrate their significance through simulation of n-channel Si and III-V FinFETs. Original contributions include our treatment of far-from-equilibrium degenerate statistics and QC-based modeling of surface-roughness scattering, as well as considering quantum-confined phonon and ionized-impurity scattering in 3D. Typical MC simulations approximate degenerate carrier populations as Fermi distributions to model the Pauli-blocking (PB) of scattering to occupied final states. To allow for increasingly far-from-equilibrium non-Fermi carrier distributions in ultra-scaled and III-V devices, we instead generate .
CRISPR library screening to develop HEK293-derived cell lines with improved lentiviral vector titers

Lentiviral (LV) vectors have emerged as powerful tools for treating genetic and acquired human diseases. As clinical studies and commercial demands have progressed, there has been a growing need for large amounts of purified LV vectors. To help meet this demand, we developed CRISPR library screening methods to identify genetic perturbations in human embryonic kidney 293 (HEK293) cells and their derivatives that may increase LV vector titers. Briefly, LV vector-based Human CRISPR Activation and Knockout libraries (Calabrese and Brunello) were used to modify HEK293 and HEK293T cells. These cell populations were then expanded, and integrated LV vector genomes were rescued by transfection. LV vectors were harvested, and the process of sequential transduction and rescue-transfection was iterated. Through this workflow, guide RNAs (gRNAs) that target genes that may suppress or enhance LV vector production were enriched and identified with Next-Generation Sequencing (NGS). Though more work is needed to test genes identified in this screen, we expect that perturbations of genes we identified here, such as TTLL12, which is an inhibitor of antiviral innate immunity may be introduced and multiplexed to yield cell lines with improved LV vector productivity.
Cholesterol Metabolic Profiling of HDL in Women with Late-Onset Preeclampsia

A specific feature of dyslipidemia in pregnancy is increased high-density lipoprotein (HDL) cholesterol concentration, which is probably associated with maternal endothelium protection. However, preeclampsia is most often associated with low HDL cholesterol, and the mechanisms behind this change are scarcely explored. We aimed to investigate changes in HDL metabolism in risky pregnancies and those complicated by late-onset preeclampsia. We analyze cholesterol synthesis (cholesterol precursors: desmosterol, 7-dehydrocholesterol, and lathosterol) and absorption markers (phytosterols: campesterol and β-sitosterol) within HDL particles (NCSHDL), the activities of principal modulators of HDL cholesterol’s content, and major HDL functional proteins levels in mid and late pregnancy. On the basis of the pregnancy outcome, participants were classified into the risk group (RG) (70 women) and the preeclampsia group (PG) (20 women). HDL cholesterol was lower in PG in the second trimester compared to RG (p < 0.05) and followed by lower levels of cholesterol absorption markers (p < 0.001 for campesterolHDL and p < 0.05 for β-sitosterolHDL). Lowering of HDL cholesterol between trimesters in RG (p < 0.05) was accompanied by a decrease in HDL phytosterol content (p < 0.001), apolipoprotein A-I (apoA-I) concentration (p < 0.05), and paraoxonase 1 (PON1) (p < 0.001), lecithin–cholesterol acyltransferase (LCAT) (p < 0.05), and cholesterol ester transfer protein (CETP) activities (p < 0.05). These longitudinal changes were absent in PG. Development of late-onset preeclampsia is preceded by the appearance of lower HDL cholesterol and NCSHDL in the second trimester. We propose that reduced capacity for intestinal HDL synthesis, decreased LCAT activity, and impaired capacity for HDL-mediated cholesterol efflux could be the contributing mechanisms resulting in lower HDL cholesterol.
Assessing the adaptive management process in SMART sites: Lessons learned

The effective management of protected and conserved areas is crucial to the preservation of much of the world’s biodiversity. The Spatial Monitoring and Reporting Tool (SMART) is one of the world’s most utilised protected and conserved area management tools, used to inform research, tourism management, natural resources use, intelligence, threat analyses, and more. Through surveying staff at 49 protected and conserved areas across 14 countries, we examine how SMART is being implemented in terms of eight key factors in data management and decision-making. Results indicate room for improvement in all aspects of the adaptive process, particularly relating to the planning of systematic patrols as well as the role of management in the adaptive process. Additionally, many sites provide low levels of training and suffer from insufficient staffing. This information will help develop guidance on what is required by protected and conserved areas for the effective implementation of SMART.
The protective effect of inactivated Flavobacterium columnare vaccine in grass carp (Ctenopharyngodon idellus)

Flavobacterium columnare, which causes columnaris disease, is responsible for significant mortality in grass carp. Vaccination is a safe and effective measure to combat this disease, and this study aimed to investigate the immune protective effects of different treatments using an inactivated F. columnare vaccine. The vaccine was prepared by inactivating the bacteria with 0.05% formaldehyde at 4°C for 24 hours. The experiments involving grass carp were divided into two parts. In Experiment 1, the immune effects of two isolates, JX-01 (genomovar I) and MU-04 (genomovar II), were compared, along with the impact of white oil adjuvant and the number of immunizations. The results showed that when the white oil adjuvant was used as a booster, the relative percent survival (RPS) of the JW2 group and MW2 group after 8 weeks of the first immunization was 34% and 61%, respectively. In Experiment 2, only the MU-04 (genomovar II) isolate was used as an antigen, with the white oil adjuvant as a booster. The effects of different doses (CFU=108, 107, and 106 bacteria/mL) on immune responses were compared, and the RPS values in the MW6, MW7, and MW8 groups after 4 weeks of the first immunization were found to be 38%, 57%, and 71%, respectively. Furthermore, in the cross-antigen protection experiment, the MW2 group exhibited an RPS of 55% against the JX-01 isolate, which was significantly higher than the control group (33%). These findings suggest that an inactivated vaccine comprising an appropriate antigen isolate when administered with a white oil adjuvant as a booster, can provide effective protection in grass carp.
Pan-Cancer Analysis Reveals CENPI as a Potential Biomarker and Therapeutic Target in Adrenocortical Carcinoma

Background Centromere protein I (CENPI) has been shown to affect the tumorigenesis of breast and colorectal cancers. However, its biological role and prognostic value in other kinds of cancer, especially adrenocortical carcinoma (ACC), remained to be further investigated. Methods Various bioinformatics tools were adopted for exploring the significance of differential expression of CENPI in several malignant tumors from databases such as Depmap portal, GTEx, and TCGA. ACC was selected for further analyzed, and information such as clinicopathological features, the prognostic outcome of diverse subgroups, differentially expressed genes (DEGs), co-expression genes, as well as levels of tumor-infiltrating immune cells (TIIC), was extracted from multiple databases. To verify the possibility of CENPI as a therapeutic target in ACC, drug sensitivity assay and si-RNA mediate knockdown of CENPI were carried out. Results The pan-cancer analyses showed that the CENPI mRNA expression levels differed significantly among most cancer types. Additionally, a high precision in cancer prediction and close relation with cancer survival indicated that CENPI could be a potential candidate biomarker to diagnose and predict cancer prognosis. In ACC, CENPI was closely related to multiple clinical characteristics, such as pathological stage and primary therapy outcome. High CENPI levels predicted poor overall survival (OS), progression-free interval (PFI), and disease-specific survival (DSS) of ACC patients, particularly for different clinical subgroups. Moreover, the expression of CENPI showed positive relationship to Th2 cells but negatively related to most of the TIICs. Furthermore, drug sensitivity assay showed that vorinostat inhibit CENPI expression and ACC cell growth. Additionally, si-RNA mediated knockdown of CENPI inhibited ACC cell growth and invasion and showed synergistic anti-proliferation effect with AURKB inhibitor barasertib. Conclusion Pan-cancer analysis demonstrated that CENPI is a potential diagnostic and prognostic biomarker in various cancers as well as an anti-ACC therapeutic target.
RETROSPECTIVE ANALYSIS AND ANTICIPATION OF CURRICULUM DESIGN FOR FUTURE SOUTHEAST ASIA

Background and Purpose: The curriculum design underwent chronological pattern adjustment globally; however, the alterations are heavily contextualized. Therefore, this article is aimed to understand how futuristic curriculum design is perceived in South East Asia (SEA). The understanding of how futuristic curriculum design is perceived in the past is achieved through retrospective examination of published documents. After identifying past trends, anticipation from historical trends refer to a systematic projection of how the curriculum would be constructed for the future generation in the SEA region. Methodology: This study presents an in-depth bibliometric analysis and visual scientific mapping of 2733 published documents in a reputable database. To examine how a futuristic curriculum is regarded throughout time, temporal, geographical, institutional, partnership and keyword mapping were quantitively analyzed. The succession of events in the past and the emerging keywords visible in the present were then qualitatively assessed in order to anticipate what is viewed as future curriculum in SEA. Findings: According to the findings, the design of the futuristic curriculum has changed since the 1980s in terms of 1) centricity, 2) measured dimensions, 3) technological advances to support the 4) learning dynamics between internalization, regionalization and localization. Based on past and current trends, it is anticipated that curriculum design for the future will be 1) centered on an individual as a unit of a larger society, 2) focuses on measuring the tangible and intangible one’s performances using indicators by benefitting the technologically advanced 3) seamless and self-regulated learning. Contributions: The findings and recommendations of this article serves as the baseline evidences in curriculum design in SEA education ecosystem to inform pedagogy and policy by exploring new areas of research and fostering the evidence-based knowledge in education. Keywords: Future studies, Southeast Asia, foresight, bibliometric, anticipatory. Cite as: Zainun, M. , Farida, N. , Saedah, S. , Deva Nanthini, S. , Shah Jahan, A. , & Wan Nor Adzmin, M. S. (2023). Retrospective analysis and anticipation of curriculum design for future Southeast Asia. Journal of Nusantara Studies, 8(2), 266-286. http://dx.doi. org/10.24200/jonus.vol8iss2pp266-286
An improved ASIFT algorithm for indoor panorama image matching

The generation of 3D models for indoor objects and scenes is an attractive tool for digital city, virtual reality and SLAM purposes. Panoramic images are becoming increasingly more common in such applications due to their advantages to capture the complete environment in one single image with large field of view. The extraction and matching of image feature points are important and difficult steps in three-dimensional reconstruction, and ASIFT is a state-of-the-art algorithm to implement these functions. Compared with the SIFT algorithm, more feature points can be generated and the matching accuracy of ASIFT algorithm is higher, even for the panoramic images with obvious distortions. However, the algorithm is really time-consuming because of complex operations and performs not very well for some indoor scenes under poor light or without rich textures. To solve this problem, this paper proposes an improved ASIFT algorithm for indoor panoramic images: firstly, the panoramic images are projected into multiple normal perspective images. Secondly, the original ASIFT algorithm is simplified from the affine transformation of tilt and rotation with the images to the only tilt affine transformation. Finally, the results are re-projected to the panoramic image space. Experiments in different environments show that this method can not only ensure the precision of feature points extraction and matching, but also greatly reduce the computing time.
Poisson's ratio of BiFeO3 thin films: X‐ray reciprocal space mapping under variable uniaxial strain

We investigate the mechanical properties of BiFeO3 (BFO) thin films grown on SrTiO3 (001) substrates that were manually bent using a specially designed uniaxial bending stage. X‐ray measurements under variable uniaxial strain show that excessive strains up to ∼2% could be applied along the [100] direction with little cross talk between [100] and [010] directions. X‐ray reciprocal space maps were acquired to investigate the evolution of ‐a and c‐axis lattice constants under variable strain and Poisson's ratio of BFO thin films vzx was determined to be 0.30 ± 0.01.