Miracle-dz/UniFAR-FTUs huggingface dataset:
Generative Adversarial Network-Based Signal Inpainting for Automatic Modulation Classification

Automatic modulation classification (AMC) aims to automatically identify the modulation type of a detected signal in an intelligent wireless receiver, such as software-defined radio (SDR). Recently, deep learning-based methods such as convolutional neural networks have been applied to AMC, showing high-accuracy performance. However, the earlier studies do not consider various signal degradations that can possibly occur during the transmission and reception of wireless signals. Particularly, the signal reception can be often unstable, and the signal can be partially received due to the dynamic spectrum sensing or signal sensing in the intelligent wireless systems. The corrupted signal with missing samples considerably degrades the accuracy of modulation classification of the deep learning-based models, because it is very different from the training datasets. To address this issue, the preprocessing process of restoring the corrupted signal, called signal inpainting, is essential. Although it is significant for the modulation classification, no studies have been performed to investigate the effect of signal inpainting on AMC. To that end, this study proposes a generative adversarial network(GAN)-based signal inpainting method that fills in the missing samples in a wireless signal. The proposed inpainting method can restore the time-domain signal with up to 50% missing samples while maintaining the global structure of each modulation type. The correct recovery of the global structure enables the extraction of distinctive features that play a key role in the modulation classification. To investigate this effect of signal inpainting on AMC, we perform intensive experiments on the RadioML dataset that has been widely used in the AMC studies. We compare the accuracy performance of the two state-of-the-art AMC models with and without the proposed signal inpainting, respectively. Through the analysis of the results, we show that the proposed GAN-based inpainting method significantly improves the accuracy of AMC.
The effects of disturbance on the microbial mediation of sediment stability

In coastal areas, biofilms are often subject to disturbance by hydrodynamic forcing, bioturbation and human activities. These factors affect the influences biofilms have on the sediment. To reveal these effects, we studied laboratory‐incubated and field‐collected biotic sediments reworked by disturbances, and examined their stabilities and three‐dimensional microstructures using laboratory annular flume tests and a wet‐staining X‐ray microcomputed tomography method. We find that, when subject to disturbance, biofilms do not always establish mat‐like matrices that firmly armor the seabed and bio‐stabilize sediments, but instead, have a range of effects on sediment stability, including both bio‐stabilization and destabilization. Disturbance considerably alters microbial influences on sediment stability, but is not the only control. Given equal disturbance, whether or not sediments are bio‐stabilized largely depends on the state of bio‐sediment formation. At a relatively well‐developed state, an organic‐rich, adhesive polymer network tightly interconnects large amounts of sediment particles into aggregates, forms complex internal structures, and enhances sediment stability. By contrast, some bio‐sediment formations only ever reach a less well‐developed state, where scattered organic patches bind relatively few particles into aggregates and reduce sediment stability. Microbial growth likely has two opposing effects on sediment stability, by enhancing either weight/friction or lift/drag on aggregated particles. The former has the positive effect of enhancing sediment stability, whereas the latter can result in greater flow resistance and so have the opposite effect. A conceptual framework is put forward to characterize the different states of bio‐sediment formation and their distinct effects on sediment stability.
How Active are Index Weighting Schemes

The contribution of this study is twofold. First of all, we categorize index weighting schemes along the dimension of active share and show that our division of index weighting schemes into three categories -- namely enhanced, full replication and sampling approaches -- corresponds to the grouping of actual mutual funds, as shown by Cremers and Petajisto (2009). In the second part, we analyze the role of the general market environment, by means of five cross-sectional (dispersion) measures, on the degree of strategies active weight tilt. We identify clear differences regarding the sensitivity towards all of the considered metrics and, thereon confirm the necessity of a separation of weighting schemes -- commonly cataloged under the umbrella term of ‘indexing’ -- given their stark differences in investment patterns.
Rotation and magnetism of solar-like stars: from scaling laws to spot-dynamos

Abstract The Sun is the archetype of magnetic star and its proximity coupled with very high accuracy observations has helped us understanding how solar-like stars (e.g with a convective envelope) redistribute angular momentum and generate a cyclic magnetic field. However most solar models have been so fine tuned that when they are applied to other solar-like stars the agreement with observations is not good enough. I will thus discuss, based on theoretical considerations and multi-D MHD stellar models, what can be considered as robust properties of solar-like star dynamics and magnetism and what is still speculative. I will derive scaling laws for differential rotation and magnetic energy as a function of stellar parameters, discuss recent results of stellar dynamo models and define the new concept of spot-dynamo, e.g. global dynamo that develops self-consistent magnetic buoyant structures that emerge at the surface.
Theoretical model developed for equivalent elastic modulus estimation of cobblestone-soil matrix

Cobblestone-soil is a natural geological situation consisting of cobblestones surrounded by soils.The mechanical performance of cobblestone-soil is between soil and rock mass and significant different from any component.Through the investigation in Chengdu Metro Line 1,the geological situation can result in a few non-normal damages(such as cutter wear,jam of roller cutterhead) and affects heavily the TBM performance.It is a typical mixed-face ground,which has an adverse influence on TBM tunnelling.This paper is intended to address the deformation problem of cobblestone-soil.Based on strain uniform assumption,analytic solutions were derived from the theoretical approach for equivalent elastic modulus while the cobblestone is assumed perfect circle and ellipse.The analytic solutions were validated by numerical modelling method.The results indicate that the equivalent elastic modulus derived from theoretical model and numerical is rather closely.The analytic solutions are helpful for improving the understanding of deformation for such ground condition and further to enhance TBM's performance.
NEW THEORY AND METHODS IN ADAPTIVE AND COMPRESSIVE SAMPLING FOR SPARSE DISCOVERY

The study of sparsity has recently garnered significant attention in the signal processing and statistics communities. Generally speaking, sparsity describes the phenomenon where a large data set may be succinctly represented or approximated using only a small number of summary values or coefficients. The implications are clear—the presence of sparsity suggests the potential for efficient methods to extract only the relevant information, conserving acquisition and/or processing resources which can often be scarce or expensive. The overall theme of this work is the identification of efficient and effective ways to exploit sparsity in a variety of settings and applications. The first part of this work comprises contributions to the emerging theory of compressive sampling (also called compressed sensing or compressive sensing). Compressive sampling describes a framework under which sparse, high-dimensional signals (vectors) can be recovered from a relatively small number of non-adaptive observations. The theory of compressive sampling is extended here, where it is shown that compressive sampling can be an effective tool for sparse recovery in noisy environments, in applications in sensor networking, system identification (channel sensing), and wideband RF surveillance. The second part of this work examines adaptivity in sampling. Adaptive sampling strategies are those which direct subsequent observations based on the results of previous observations, in an effort to focus on features of interest. It is shown here that adaptivity can result in dramatic improvements in recoverability of sparse signals, providing new insight into the fundamental theoretical limits of sparse recovery in noisy settings. A simple adaptive procedure called distilled sensing is proposed and shown to dramatically outperform the best possible non-adaptive strategies, in the sense that distilled sensing enables the recovery (detection and estimation) of signals whose features are otherwise too weak to be recoverable using any methods based on the best non-adaptive sampling strategies. NEW THEORY AND METHODS IN ADAPTIVE AND COMPRESSIVE SAMPLING FOR SPARSE DISCOVERY
Innovation for Innovators: The Financing of Intangibles

This paper examines the characteristics of firms that adopt new financial products and their association with measures of performance. We build a novel firm-level panel dataset and document a positive association between intangible capital and the adoption of new products. We also find that access to external financing through new types of securities is associated with size growth and further investments into intangibles. These findings have important implications for understanding the role that financial innovation can play in meeting the financing needs of firms that rely heavily on intangible capital.
COVID-19 in Pediatric Patients: A Study Based on Biomarker Levels

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has infected people of all ages, but limited data are available on children with mild and severe coronavirus disease 2019 (COVID-19). Methods: Clinical characteristics, inflammation, and other biochemical biomarkers have been described, but information is scarce in asymptomatic and mild cases. Laboratory investigations were performed with pediatric patients (n=70) for liver function and kidney function, along with C-reactive protein (CRP). Results: Mild clinical characteristics and symptoms were observed in pediatric patients. Even in moderate cases of COVID-19, elevated levels of biomarkers indicate altered liver and kidney function in children. The levels of liver enzymes, bilirubin, creatinine, and CRP varied significantly between the three classes, particularly between asymptomatic and moderate cases. Liver enzymes, bilirubin, and creatinine levels in moderate COVID-19 pediatric cases were twice as elevated as in asymptomatic cases. Liver enzymes and CRP levels were moderately elevated. Conclusion: Monitoring blood biomarkers consistently can assist in the accurate identification of infection in young patients as well as in the prevention of its spread and the administration of appropriate treatment.
Restless leg syndrome in patients on hemodialysis

Background and Aim: Restless legs syndrome (RLS) is a prevalent neurological disease that is frequently misdiagnosed due to comparable signs and symptoms to other disorders such as diabetes, migraine, and cardiovascular disease. RLS may deteriorate with age, and it is more frequent in women than in males. The incidence of RLS varies from 6.6% to 80% in the general population. The present study aimed to assess the RLS in patients on hemodialysis. Patients and Methods: A questionnaire based study was conducted on 116 consecutive hemodialysis patients in the Department of Neurology and Nephrology of Institute of Kidney Diseases Hayatabad, Peshawar and PAF Hospital, Islamabad for the Duration from June 2022 to December 2022. Patients’ history included a history of drug, predialysis duration, and hemodialysis duration. Data was obtained using a standardized questionnaire that includes demographic variables such as personal history, family history, disease history, and smoking history.
Promoting Geosites on Web-Pages: An Assessment of the Quality and Quantity of Information in Real Cases

Geological information present on web-pages determines the efficacy of the online marketing of geosites. In this paper, a new approach aimed at an easy and quick assessment of geosite-focused web-pages is proposed. It is based on scoring by several criteria reflecting the quality and the quantity of geological information. Attention is paid to the simplicity and correctness of information, mention of technical properties (accessibility, location, and safety), relative and absolute amounts of information, and adaptation to persons with disabilities. Textual and graphical elements are considered differently. The approach is tested in three cases, namely, the Granite Gorge in the Western Caucasus, Pechischi in the Volga Region, and the Red Stones in the Southern Ciscaucasus. These are well-known geosites already used as important (geo)tourist attractions. It is established that the web-pages devoted to them chiefly allow minimally perfect promotion. Some examples of misinterpretations of geological information and errors are specially considered. The approach seems to be promising, and its application allows finding the deficiencies of web-pages, an improvement of which will enhance geosite promotion. Cooperation between representatives of the tourism industry and geological faculty members of local universities or administrations of protected areas is reasonable to create more informative geosite-focused web-pages.
Bilateral Infraorbital Nerve Block for Postoperative Analgesia after Functional Endoscopic Sinus Surgery: A Prospective Randomized Study

Functional endoscopic sinus surgery (FESS) is a common procedure performed in the ear, nose, and throat (ENT) operating room under general anesthesia (GA). Patients usually experience discomfort and pain postoperatively due to nasal packing. Aims and objectives: Our study is aimed to evaluate the effect of a bilateral intraoral infraorbital block with bupivacaine on postoperative pain in patients undergoing FESS under GA. Materials and methods: A total of 60 patients were randomly allocated to either the control group or study group of 30 each. After the establishment of the standard GA technique, bilateral intraoral infraorbital nerve block (IOB) was performed with 1 mL of either normal saline (control group) or 0.5% bupivacaine (study group). Fentanyl dose was repeated with a rise in mean arterial pressure of >10% of the baseline. Postoperative pain intensity, duration of analgesia, analgesic requirement, intraoperative hemodynamics, and patient satisfaction to pain were evaluated. Results: Postoperative pain scores in the control group were 3 and 2 and the study group was 2 and 1 and were statistically significant ( p = 0.000). Duration of analgesia and the total analgesic requirement (first 24-hour postoperative period) were 513.5 ± 151.14 and 236.00 ± 65.20 and 92.50 ± 30.19 and 167.50 ± 32.26 in the study group and control groups, respectively and were significant statistically ( p < 0.05). The hemodynamic and patient satisfaction scales were also significantly better in the study group. Conclusion: General anesthesia (GA) with bilateral intraoral infraorbital block provided stable hemodynamics, prolonged duration of analgesia, less pain scores, fewer analgesic need, and more patient satisfaction scores in the postoperative period.
Evaluation of pheromone dispensers for eco-friendly management of mango fruit fly

The fruit fly is a pest of quarantine importance and is difficult to manage. It has a great impact on agricultural and causes enormous damage to fruits and vegetables. For the management of mango fruit flies, the Methyl eugenol-based pheromone trap was used. The trap efficacy is most affected by different factors. Among them, the dispenser played a crucial role in attracting fruit flies. In this regard, our investigation on the evaluation of pheromone dispensers was carried out and the results revealed that all the treatments were attracted to the fruit flies. Though, significantly more fruit flies were captured in both the plywood block (418.26 fruit flies/trap/month), and softwood block (389.58 fruit flies/ trap/month), which were at par with each other. Whereas, the least fruit flies were captured in the coal block (225.55 fruit flies/trap/month). It can be concluded that the plywood and softwood block performed better in terms of the number of fruit flies captured in the field and these can be used as dispensers in fruit fly traps for the management of fruit flies.
An assessment of the present hydroclimatic regime of the Madeira River basin using climate and hydrological models

ABSTRACT Southwestern Amazonia has low spatial coverage of hydro-meteorological data, making climate and hydrological models essential tools. Thus, it is necessary to evaluate these models to verify their suitability for future climate change assessments. We evaluate the ability of a regional climate model (Eta) forced with three Earth system models and a large-scale hydrological model (MGB) to represent hydroclimatic variables for the current climate in the Madeira River basin. Different hydro-meteorological databases are used to evaluate the systematic errors of the coupled model system. The simulation results show that the Eta model underestimates (overestimates) precipitation over the basin during the rainy (dry) season. The hydrological processes simulated by the MGB are considered satisfactory, although the model has some limitations with respect to the timing of floods and their removal in different discharge regimes.
Introduction to the Special Collection on The new roles of women and men and implications for families and societies

BACKGROUND This is the introduction to a special collection of articles produced within a large-scale collaborative research project, FamiliesAndSocieties, funded by the European Union’s Seventh Framework Programme in 2013 ‒ 2017. OBJECTIVE The special collection addresses (1) the gendered outcomes of employment for fertility, well-being, and partnership stability, and (2) the new role of men in various socioeconomic positions and its implications for family life.
Chinese high energy photon source and the test facility

Synchrotron radiation facilities are indispensable in numerous forefront areas. The existed photon sources in China are in medium and low energy region, however, the researches related to national important requirements and industrial innovation capabilities are in urgent need of high electron energy sources with high performance. To build a high energy synchrotron radiation facility with high performance in China would play important role in national security and industry areas and narrow the gap with internal sources and advanced light sources. In this paper, we described the necessity and signification to build high energy synchrotron radiation facility, analyzed the development of international synchrotron radiation facilities, mainly discussed the scientific objectives, preliminary proposal and technological challenges of High Energy Photon Source (HEPS), and systematically introduced the objectives and proposals of HEPS test facility, one of the scientific infrastructure development programs in the 12th Chinese "five-year plan".
Building Citizen Satisfaction Towards E-Government Services: A Conceptual Framework

In the context of government services, user satisfaction becomes the determinant of its success. This study aims to develop and examine a model for determining citizen satisfaction with e-government services using the technology acceptance model (TAM) and trust theory. Specifically, we look at the role of perceived e-service which consists of core services, facilitating services, and supporting services in influencing perceived usefulness and trust in e-government. We also see how trust in e-government affects perceived usefulness and citizen satisfaction. Finally, we examine perceived usefulness regarding its influence on citizen satisfaction. This study is carried out on citizens who are obliged to pay and report taxes (taxpayers) through the online platform of Directorate General of Taxes (DJP Online) in South Sumatera Province, Indonesia, as many as 240 respondents. The data is collected online by distributing questionnaires through Google Forms. The data obtained is then analyzed using Structural Equation Modeling with Partial Least Square (SEM-PLS). The findings of this study indicate that perceived e-service which consists of core services, facilitating services, and supporting services has a positive influence on perceived usefulness and trust in e-government, while trust in e-government affects perceived usefulness and citizen satisfaction. Finally, this study confirms that citizen satisfaction is influenced by perceived usefulness.
What is Beneficial in Our Relationships with Pets? Exploring the Psychological Factors Involved in Human–Pet Relations and Their Associations with Human Wellbeing

ABSTRACT Whether pet owners experience higher psychological wellbeing compared with non-pet owners remains contested. Going beyond a comparison of pet vs. non-pet owners, the current study investigated the nature of the psychological link that operates between humans and pets and tested which specific psychological factors, experienced specifically in the human–pet relationship, predict pet owners’ psychological wellbeing. The following factors were put to the test: Unconditional support and acceptance, mindfulness, and social connections with fellow humans. Data from a diverse sample of Canadian pet owners (n = 1,220) were analyzed. Mindfulness felt in the presence of one’s pet predicted more positive wellbeing on each wellbeing outcome. Perceiving that one’s pet encourages social connections with fellow humans and accepts us unconditionally also predicted more positive wellbeing on some of the wellbeing outcomes. In contrast, feeling authentic in one’s relationship with a pet predicted lower wellbeing, while perceiving that pets are less accepting of one’s negative emotions predicted higher wellbeing. Most of these associations held when accounting for the impact of these psychological factors when they are experienced in the context of human–human relations. These findings confirm the importance of investigating the nature of our psychological links to other animals, namely pets; they also provide nuances regarding the specific benefits associated with pet ownership and how the presence of pets can be beneficial to human wellness.