Miracle-dz/UniFAR-FTUs huggingface dataset:
The Compiled Catalogue of Galaxies in Machine-Readable Form and its Statistical Investigation

The compilation of a machine-readable catalogue of relatively bright galaxies was undertaken in Abastumani Astrophysical Observatory (Kogoshvili 1972; 1975) in order to facilitate the statistical analysis of a large observational material on galaxies from the Palomar Sky Survey. This catalogue is mainly based on the data from the MCGcatalogue (Vorontsov-Veljaminov et al, 1962–1968) supplied with information from the UGC (Nilson, 1973), RCBG (De Vaucouleurs and De Vaucouleurs, 1964), CGCG catalogues (Zwicky et al, 1961–1968) and from other sources.
A complete chloroplast genome of Rubia yunnanensis Diels (Rubiaceae), a traditional Chinese herb endemic to China

Abstract Rubia yunnanensis Diels 1912 (Rubiaceae) is a plant used in traditional Chinese medicine. We here assembled a complete chloroplast (cp) genome for R. yunnanensis using Illumina HiSeq reads. The genome is 155,108 bp in length. The genome contains 113 genes, including 79 protein coding genes, 30 tRNA genes, and four rRNA genes. The large single-copy (LSC) region is 84,848 bp, inverted repeat A (IRa) region is 26,573 bp, small single-copy (SSC) region is 17,114 bp, and inverted repeat B (IRb) region is 26,573 bp. A phylogenomic analysis found that R. yunnanensis is close to R. cordifolia. The assembled cp genome in this study provided a basis for the conservation and phylogenetic studies of R. yunnanensis.
The prevalence of low back pain in emergency medical services personnel: A systematic review and meta-analysis

Background & Aim: Among musculoskeletal disorders, low back pain causes the most common complaints among emergency medical services personnel worldwide. This study aimed to investigate the prevalence of low back pain among emergency medical services personnel. Methods & Materials: We used the PRISMA guideline in the present systematic review and meta-analysis. The search was conducted in PubMed, Scopus, Web of Science, Cochrane, ProQuest, Science Direct, Google Scholar, and Embase using English keywords and SID, Irandoc, and Magiran data resources with equivalent Persian keywords. Studies were selected based on inclusion and exclusion criteria. The data were gathered without a time limit until the end of June 2021. The quality evaluation of the selected studies was performed using the Appraisal tool for Cross-Sectional Studies (AXIS) tool. The random-effects model was used for meta-analysis, applying the I2 index as a measure to estimate heterogeneity among studies. Results: In the present study, a total of 1038 articles were identified in the primary search, of which ten studies entered the final evaluation phase and meta-analysis after initial screening and removing duplicates. In these studies, 7499 emergency medical services personnel were examined; the prevalence of low back pain was 50.30% (95% CI: 37.98-62.62, I2= 99.1%). Conclusion: Our results indicated a considerable prevalence of low back pain among emergency medical services personnel. Also, the heterogeneity between studies was very high. It is recommended to teach the correct methods of lifting the stretcher and equipment as well as redefining the duties of the staff with low back pain.
Observation of non-linear magnetic vortex gyration by X-ray microscopy and micromagnetic simulations

Magnetic vortex gyration in a 500 nm wide, 50 nm thick Permalloy square platelet was investigated using time-resolved scanning transmission x-ray microscopy and micromagnetic simulations. The response of the vortex core on an in-plane oscillating magnetic field was studied as a function of the excitation frequency and amplitude. Non-linear behavior was observed in the form of a redshift of the gyrotropic resonance. I.e., when the excitation amplitude was increased, the resonance frequency was found to decrease. The nonlinearity is in agreement with extensive micromagnetic simulations. This work complements previous reports on thinner nanostructures where a frequency blueshift was observed.
An Annular Fresnel Zone Plate without Central Spots Fabricated by Femtosecond Laser Direct Writing

In recent years, micro-annular beams have been widely used, which has expanded the possibilities for laser processing. However, the current method of generating an annular beam still has shortcomings, such as spot energy at the center of the produced beam. In this study, a Fresnel zone plate with an annular structure was machined using a femtosecond laser. After focusing, an annular laser beam without a spot in the center was obtained, and the radius and focal length of the annular beam could be easily adjusted. In addition, two annular Fresnel zone plates were concentrically connected to obtain a concentric double-ring beam in the same focal plane. The simulation and experimental results were consistent, providing effective potential for applications related to nontraditionally shaped laser beams.
Research on UAV Adaptive Landing Gear Control System

Aiming at the severe requirement of landing terrain environment for UAVs, especially large UAVs, an adaptive landing gear is designed in this paper. The control system and PID controller based on attitude feedback, height feedback and force feedback are designed synthetically using high precision force sensor, attitude sensor and laser ranging sensor. The SIMULINK model is built in MATLAB and debugged in the actual system. The simulation and physical experiments show that the control system in this paper has the characteristics of good control robustness and fast response speed, which provides a beneficial attempt for engineering application of adaptive landing gear.
Length minimizing property, Conley-Zehnder index and $C^1$-perturbations of Hamiltonian functions

The main purpose of this paper is to study the length minimizing property of Hamiltonian paths on closed symplectic manifolds $(M,\omega)$ such that there are no spherical homology class $A \in H_2(M)$ with $$ \omega(A) > 0 \quad \text{and} \quad -n \leq c_1(A) < 0, $$ which we call {\it very strongly semi-positive}. We introduce the notion of {\it positively $\mu$-undertwisted} Hamiltonian paths and prove that any positively undertwisted quasi-autonomous Hamiltonian path is length minimizing in its homotopy class as long as it has a fixed maximum and a fixed minimum point that are generically under-twisted. This class of Hamiltonian can have non-constant large periodic orbits. The proof uses the chain level Floer theory, spectral invariants of Hamiltonian diffeomorphisms and the argument involving the thick and thin decomposition of Floer's moduli space of perturbed Cauchy-Riemann equation. And then based on this theorem and some closedness of length minimizing property, we relate the Minimality Conjecture on the very strongly semi-positive symplectic manifolds to a $C^1$-perturbation problem of Hamiltonian functions on general symplectic manifolds, which we also formulate here.
Linkage between financial inclusion and Indonesian welfare: a recent evidence

Abstract This paper provides the linkage between financial inclusion and welfare in Indonesia. This paper analyzes the level of financial inclusion Indonesian welfare using provincial data during 2015–2018. Index of Financial Inclusion (IFI) is calculated based on the dimensions of accessibility, availability, and usage of financial services. We employ the generalized least square (GLS) method for panel data estimation. Evidence showed that financial inclusion in Indonesia which mostly determined by the dimensions of the use and availability of financial services, while the accessibility dimension was relatively low in Indonesia. Based on the financial inclusion index, 25 provinces were grouped in the low financial inclusion, 8 provinces in the medium category and only DKI Jakarta Province categorized as high financial inclusion. The panel data estimation results show that the financial inclusion index has a positive and significant effect on the welfare of the Indonesian people as proxied by the human development index. The level of financial inclusion remains uneven between province in Indonesia. The lowest level of financial inclusion related to accessibility. The government should provide socialization and education of financial products to the public community, especially formal financial services such as banks. Financial literacy played an important role to improve welfare as a whole.
Explosive Eruption of the Tonga Underwater Volcano Modulates the Ionospheric E‐Region Current on 15 January 2022

The sudden eruption of the Tonga underwater volcano (20.53°S, 175.38°W) on 15 January 2022 generated explosions that triggered blast waves traveling away from the eruption. In this study, the analysis of the geomagnetic field observations on the ground shows that the eruption perturbed the E‐region current density by 22–55 mA/m within a radius of 8,000 km away from the eruption. The perturbation evolved into large scales of ∼5 hr and thousands of kilometers as it traveled away. The traveling speed of the leading front is ∼740 m/s that is near acoustic in the ionosphere. The magnetic fields and total electron content observations suggest that the dynamics changes further induced significant ionospheric disturbances that lasted ∼10 hr after the eruption. The examination of the Tonga volcanic eruption inspires us that a near‐surface perturbation can change the dynamics of the upper atmosphere.
Low-Carbon Self-Healing Concrete: State-of-the-Art, Challenges and Opportunities

The sustainability of the construction industry is a priority in innovations made towards mitigating its notoriously high carbon emissions. Developments in low-carbon concrete technology are of peak interest today under the scrutiny of emerging policy pressures. Concrete is the external part of most structures vulnerable to permanent degradation and weathering, the possibility of an intrinsic restoration of its engineering properties promises unprecedented advancements towards structural resilience. Existing research in self-healing concrete (SHC) has often concerned the scope of material development and evaluation with inconclusive field testing, hindering its progress towards structural feasibility. This paper presents an overview of recent progress in SHC, and possible opportunities and challenges of popular healing systems are discussed. Moreover, trends are observed to investigate SHC’s influence on the engineering properties of concrete, and future projections of SHC are suggested with identification of potential research needs.
Evaluation of Light Trap System in Monitoring of Rice Pests, Brown Planthopper (Nilaparvata lugens)

Brown Planthopper (Nilaparvata lugens) is a major rice pest insect in Malaysia. Series of the outbreak has been recorded in 1991, 1909, 2011, and 2015 which caused heavy yield losses. The light trap is now commonly used to monitor the pest population to predict the outbreak. The population sampling was conducted based on the crop stage at a specific sampling point and area. It has been done manually through field observations using netting, sweeping, board tapping, or survey patrol. Those methods are laborious and time-consuming. Malaysia Agriculture Research and Development Institute (MARDI) has developed an early warning system for brown planthopper monitoring consisting of modular light traps and a weather database to provide earlier forecasts and more effective outbreak prediction. However, there is not much information about how effective the light trap operated in the open field to draw and trap the insects. The light trap's efficiency depends on a few factors like the trap design, type of light source, duration, and sampling time; all affect the trap's effectiveness. A 30W Compact fluorescence light (CFL) has been selected and used to build four operated light traps and placed at the appropriate selected location. Sampling works were conducted twice a week for three hours per night throughout the planting season (15 weeks). Comparative statistical analysis was conducted to evaluate the effectiveness of the light trap compared to the aerial netting method. The results showed that the difference is statistically significant between light trap and aerial netting with a value of 0.0167 at p <0.05. Therefore, brown planthopper population monitoring is more effectively done using the new design light trap.
Directed Brain Network Analysis for Fatigue Driving Based on EEG Source Signals

Fatigue driving is one of the major factors that leads to traffic accidents. Long-term monotonous driving can easily cause a decrease in the driver’s attention and vigilance, manifesting a fatigue effect. This paper proposes a means of revealing the effects of driving fatigue on the brain’s information processing abilities, from the aspect of a directed brain network based on electroencephalogram (EEG) source signals. Based on current source density (CSD) data derived from EEG signals using source analysis, a directed brain network for fatigue driving was constructed by using a directed transfer function. As driving time increased, the average clustering coefficient as well as the average path length gradually increased; meanwhile, global efficiency gradually decreased for most rhythms, suggesting that deep driving fatigue enhances the brain’s local information integration abilities while weakening its global abilities. Furthermore, causal flow analysis showed electrodes with significant differences between the awake state and the driving fatigue state, which were mainly distributed in several areas of the anterior and posterior regions, especially under the theta rhythm. It was also found that the ability of the anterior regions to receive information from the posterior regions became significantly worse in the driving fatigue state. These findings may provide a theoretical basis for revealing the underlying neural mechanisms of driving fatigue.
Job stress and loneliness among desk workers during the COVID-19 pandemic in Japan: focus on remote working

Background Previous studies have reported an increase in loneliness since the outbreak of coronavirus disease 2019 (COVID-19), but there are few data on the relationship between job stress and loneliness. This study aimed to assess the relationship between job stress and loneliness among desk workers, with a focus on the impact of remote working. Methods This study was part of the Collaborative Online Research on the Novel-coronavirus and Work (CORoNaWork) project in Japan. We extracted data from 13,468 workers who indicated that they were doing desk work. Loneliness was assessed using a single question and job stress was valuated using the Job Content Questionnaire (JCQ). Multiple logistic regression was performed. Results Participants who worked remotely 4 or more days per week were marginally more likely to report feeling lonely compared with those who did not work remotely (adjusted odds ratio = 1.23, 95% CI: 0.99–5.84, P = 0.066). Remote working did not explain the interaction between JCQ scale scores and loneliness. Among remote workers, the level of support provided by co-workers and supervisors was strongly associated with feelings of loneliness as well as non-remote workers (co-worker support: AOR = 4.06, 95% CI: 2.82–5.84, P < 0.001; supervisor support: AOR = 2.49, 95% CI: 1.79–3.47, P < 0.001). Conclusions To reduce loneliness and the risk of associated mental health problems, high-frequency remote workers should interact with supervisors and co-workers using the information and communication technology developed for this purpose.
Study on wearable device users’ willingness to continue using—ECM-IS based on the expansion model

Based on the Expectation Confirmation Model of Information System(ECM-IS), three personal characteristic factors of self-efficacy, privacy concerns, and innovation as well as two external environmental factors of subjective reference and switching costs were introduced to construct a model of factors affecting users’ continuance intention of wearable devices from the perspective of “technology-individual-environment”. 356 valid samples were collected through the questionnaire for empirical analysis. The results of the study show that self-efficacy, switching costs, and perceived usefulness in the ECM-IS model have a significant effect on users’ continuance intention at p<0.001 level while innovativeness and subjective references affect users’ continuance intention at p<0.05, but privacy concerns have no effect on continuance intention.
Sistema Híbrido e On-line de Detecção e Classificação de Tráfego Malicioso

Diversas metodologias de Aprendizado de Máquina têm sido propostas para melhorar a segurança em redes de computadores e reduzir os danos causados pela ação de agentes maliciosos. Entretanto, detectar e classificar ataques de forma acurada e precisa ainda é um grande desafio nas redes atuais. Este artigo propõe um sistema on-line de detecção de ataques e classificação de tráfego de rede, que combina de forma híbrida Aprendizado de Máquina por Stream, o Aprendizado Profundo e a técnica Ensemble. Utilizando múltiplos estágios de análise dos dados, o sistema detecta a presença de fluxos de tráfegos maliciosos e classifica-os de acordo com o tipo de ataque que eles representam. O sistema foi avaliado em três bases de dados de referência em segurança, nas quais obteve acurácia e precisão acima de 90%, com taxa de falso alarme reduzida.
Radium and Lead Radioisotopes Composition of Sediment and Its Biogeochemical Implication in Polymetallic Nodule Area of Clario-Clipperton Zone

Radioactivity levels of 210Pb and 226Ra were detected in a sediment core obtained using a multi-corer from the polymetallic nodule area inside the Clarion-Clipperton Zone (CCZ), a contract area of the China Ocean Mineral Resources Association (COMR) in the eastern Pacific Ocean. The profile of excess 210Pb (210Pbex) shows that the specific activity of 210Pbex has three parts with different distributions at depths of 0–16 cm (I), 17–36 cm (II), and 37–48 cm (III). When the I section of nonlocal mixing was excluded, using a steady-state diffusion mode, the bioturbation coefficients of the core were estimated to be 24.2 cm2/a at 17–36 cm deep and 5.9 cm2/a at 37–48 cm deep, which were greater compared to previously published results. This is most likely owing to bioturbations caused by various organism species in the two sections.
Deep learning techniques for integrated circuit die performance prediction

Predicting integrated circuit (IC) functionality based on process control monitoring (PCM) parameters without individual die testing is a major challenge for manufacturers due to the high cost of electrical die measurement on the wafer. Complex dependencies between individual PCM parameters can be used to explain certain patterns of dice failure using Deep learning (DL) algorithms. However, random failure patterns due to process defects cannot be detected by this method. Combining PCM and in-process defect inspection data can be an ultimate prediction technique. In some cases, however, the availability of defect inspection data is much lower than the availability of PCM data, so direct ensemble training is rather ambiguous. This paper shows how to efficiently utilize both defect and PCM data to train a model to predict IC functionality. Such a hybrid model outperforms PCM-only solutions, and in contrast to a defect-only model predicts also failure areas across the wafer. Graphical abstract
The Covid-19 Outbreak and Shifting Effects on Mobile Banking in North Macedonia

The need for servicing clients at the branch during and post pandemic period has reduced manifold, with concentration of banks in online channels baked with technology based solutions has overtaken out many of the branch – specific functions. It is obvious the post pandemic era has dramatically shift the banks as well as consumer to a new reality and accelerated the redefining the competitiveness and efficiency in the retail banking in North republic of Macedonia. In this regards, observed changes shows that the online retail banking services, more specifically (Mobile banking) significantly changed and reshaped the banking consumers’ perceptions and new expectations. In this context, the aim of this research paper is to show the crucial factors that drives retail banking consumers in lasting habits for using online product and services. This paper examines the following research questions. 1. What are the main factors that derives banking clients to use online (mobile banking) services. The research method used in this study 1. Questioner. The results of the empirical study are supporting the proposed basic constructs of the model and some specific relationships in terms of pandemic and factors that spur the retail banking clients to shift in mobile banking services.
The Competitiveness of Tourism Industry of Pakistan and India in the World Market: A Comparative Analysis

The current study aims at measuring the competitiveness and comparative advantage of the tourism industry which is one of the most profitable non-technology-based economic sectors of Pakistan and India. This study applied several indices of revealed comparative advantage to examine competitiveness in travel and tourism industry experts and the data have been taken from International Trade Center (ITC) during 2005-2020. The results of RCA, RSCA, LnRCA and RCA# highlight that both Pakistan and India had a comparative disadvantage from 2005-2020. Travel and tourism imports from India and Pakistan had a comparative advantage, according to RMA index data, during the analysis. From 2005 to 2020, India and Pakistan had a net competitive disadvantage in this sector, according to the Relative Trade Advantage index. Moreover, the results of TBI portray that both countries were net-importer in the travel and tourism industry. The results of this study suggest that these countries should improve tourism businesses by investing more in tourism and increasing promotional activities.
Joint Mobile Node Participation and Multihop Routing for Emerging Open Radio-Based Intelligent Transportation System

This paper proposes joint mobile node participation and routing protocol for multi-hop device-to-device (MD2D) networking in intelligent transportation systems, called fuzzy-based participation and routing protocol for MD2D (FPRM). Our proposed protocol is designed to operate over future open-radio access networks (O-RANs). We introduce a sub-layer at the network layer that can determine nodes with the highest participation probability in routing using a fuzzy logic system, thus building a framework to create more stable routes. To ensure the participating nodes are capable of handling the data traffic, two constraints are proposed, mobility and coverage constraints. The former enables the creation of sustainable communication links, and the latter enforces the communication service to the entire MD2D network. Simulation results show that our approach can increase the network lifetime, decrease the end-to-end (E2E) delay, and increase the packet delivery ratio (PDR) compared to the existing proactive routing protocol. Our protocol outperforms the benchmarked MD2D protocols and other investigated ad hoc protocols.