Miracle-dz/UniFAR-FTUs huggingface dataset:
Preliminary On-Orbit Performance Test of the First Polarimetric Synchronization Monitoring Atmospheric Corrector (SMAC) On-Board High-Spatial Resolution Satellite Gao Fen Duo Mo (GFDM)

Obtaining accurate atmospheric parameters, e.g., aerosol optical depth (AOD) and column water vapor (CWV), is important for the quantitative atmospheric correction (AC) of the high-spatial resolution remote sensing images. However, due to the strong temporal and spatial changes of the atmospheric parameters, it will be a challenge to ensure spatiotemporal registration of the satellite images given the AC parameters obtained separately from ground-based or other satellite products, which affects significantly the accuracy of the AC. The China National Space Administration launched a high resolution and multimode imaging satellite [Gao Fen Duo Mo (GFDM)] in July 2020, which has multifunctional observation modes and flexible mobility, with a high-spatial resolution imaging sensor (0.42 m in panchromatic and 1.6 m in multispectrum) and equipped the synchronization monitoring atmospheric corrector (SMAC) sensor. As the first atmospheric corrector with polarization detection capability on-board high-spatial resolution satellite, SMAC is designed to obtain multispectral intensity and polarized data and to retrieve synchronously AC parameters in the same field of view with main sensor. Based on the SMAC in-orbit test data, a lookup table method using the optimized inversion framework and a dual-channel ratio retrieval method are developed to derive AOD and CWV, respectively, in this article. The AOD and CWV results are validated against the AERosol RObotic NETwork (AERONET). The preliminary test of AC performance on the multispectral images of GFDM satellite indicates that SMAC is of great potential to improve the quality of the main sensor’s image.
Same problem, different approaches: transvesical and extravesical laparoscopic vesicovaginal fistula repair—case report

Vesicovaginal fistulas (VVaFs) are relatively uncommon in developed countries but with devastating consequences for the women suffering them. Conservative management has a low response rate. The surgical repair is a technically demanding procedure. Transvaginal, open transabdominal or laparoscopic (pure or robot-assisted) approaches have been described with similar post-operative results. We report two real-life cases of VVaF after surgery of benign gynaecological conditions, both presenting with continuous urinary incontinence and repaired with laparoscopic surgery. The first case had a simple tract above the trigone and was managed with an extravesical approach. The second is a complex case with multiple fistulous tracts that required a transabdominal-transvesical approach (modified O’Connor technique). Both patients have their fistula closed and are continent after surgery with a mean follow-up of 9 months. Given the lack on evidence for the selection of the best approach, it is important to report the outcomes with the different surgical techniques in both simple and complex fistulae. A pre-operative exhaustive study of the location and number of fistulous tracts is essential, as well as selecting the technique which best allows tissue dissection and tension-free suture to get a successful closure. Therefore, knowledge of several procedures and approaches is mandatory when dealing with this disorder.
A Comprehensive Comparison of Label Setting Algorithm and Dynamic Programming Algorithm in Solving Shortest Path Problems

In this paper, Label Setting Algorithm and Dynamic Programming Algorithm had been critically examined in determining the shortest path from one source to a destination. Shortest path problems are for finding a path with minimum cost from one or more origin (s) to one or more destination(s) through a connected network. A network of ten (10) cities (nodes) was employed as a numerical example to compare the performance of the two algorithms. Both algorithms arrived at the optimal distance of 11 km, which corresponds to the paths 1→4→5→8→10 ,1→3→5→8→10 , 1→2→6→9→10 and 1→4→6→9→10 . Thus, the problem has multiple shortest paths. The computational results evince the outperformance of Dynamic Programming Algorithm, in terms of time efficiency, over the Label Setting Algorithm. Therefore, to save time, it is recommended to apply Dynamic Programming Algorithm to shortest paths and other applicable problems over the Label-Setting Algorithm.
Application of a WiFi/Geomagnetic Combined Positioning Method in a Single Access Point Environment

Because of the particularity of urban underground pipe corridor environment, the distribution of wireless access points is sparse. It causes great interference to a single WiFi positioning method or geomagnetic method. In order to meet the positioning needs of daily inspection staff, this paper proposes a WiFi/geomagnetic combined positioning method. In this combination method, firstly, the collected WiFi strength data was filtered by outlier detection method. Then, the filtered data set was used to construct the offline fingerprint database. In the following positioning operation, the classical k -nearest neighbor algorithm was firstly used for preliminary positioning. Then, a standard circle was constructed based on the points obtained by the algorithm and the actual coordinate points. The diameter of the standard circle was the error, and the geomagnetic data were used for more accurate positioning in this circle. The method reduced the WiFi mismatch rate caused by multipath effects and improved positioning accuracy. Finally, a positioning accuracy experiment was performed in a single AP distribution environment that simulates a pipe corridor environment. The results proves that the WiFi/geomagnetic combined positioning method proposed in this paper is superior to the traditional WiFi and geomagnetic positioning methods in terms of positioning accuracy.
Machine learning‐based load distribution and balancing in heterogeneous database management systems

For dynamic and continuous data analysis, conventional OLTP systems are slow in performance. Today's cutting‐edge high‐performance computing hardware, such as GPUs, has been used as accelerators for data analysis tasks, which traditionally leverage CPUs on classical database management systems (DBMS). When CPUs and GPUs are used together, the architectural heterogeneity, that is, leveraging hardware with different performance characteristics jointly, creates complex problems that need careful treatment for performance optimization. Load distribution and balancing are crucial problems for DBMSs working on heterogeneous architectures. In this work, focusing on a hybrid, CPU‐GPU database management system to process users' queries, we propose heuristical and machine‐learning‐based (ML‐based) load distribution and balancing models. In more detail, we employ multiple linear regression (MLR), random forest (RF), and Adaboost (Ada) models to dynamically decide the processing unit for each incoming query based on the response time predictions on both CPU and GPU. The ML‐based models outperformed the other algorithms, as well as the CPU and GPU‐only running modes with up to 27%, 29%, and 40%, respectively, in overall performance (response time) while answering intense real‐life working scenarios. Finally, we propose to use a hybrid load‐balancing model that would be more efficient than the models we tested in this work.
The Effect of Replacing Dried Meal Worm with Soybean Meal on Growth Performance and Carcass Characteristics of Broiler Chickens

An experiment was conducted on 240 one-day old male (Ross308) chicken to the effect of substitution of dried mealworm (Tenebrio molitor) with soybean meal on growth performance and carcass characteristics broiler chicks. Chicks fed in a completely randomized design with 4 replicate cages (12 birds per cage). Five dietary treatments used: 1- Control treatment: Basal diet based on corn-soybean meal without adding dried mealworm, 2- Replacement of 5% dried mealworm with soybean meal in the base diet, 3- Replacement of 10% dried mealworm with soybean meal in the base diet, 4- Replacement of 15% dried mealworm with soybean meal in the base diet and 5- Replacement of 20% dried mealworm with soybean meal in the base diet. The results of the experiment showed that 3rd and 4th treatments with a substitution of 10 and 15 percent showed a higher mean weight gain and a daily gain, but their feed intake was lower comparing other treatments, and finally, the feed conversion ratio showed a significant decrease with respect to control treatment using these replacement levels. At 21 and 42 days of age, carcass yield and relative weight of the breasts showed significant increases in treatments 3 and 4, and other characteristics of chicken carcasses were not affected by the test treatments. The experiment showed that replacing soybean meal with 10% and 15% worm powder significantly improved the performance of broiler chickens, but no significant difference was found between the two levels.
Climate change impacts on surface water resources in the Oued El Abid basin, Morocco

ABSTRACT Mediterranean countries are strongly affected by reduced surface water resources. This study aims to assess the climate change impacts on runoff supply to the Bin El Ouidane dam in Morocco, the largest in the country in terms of hydropower production. A water balance model coupled with a stochastic calibration method to provide confidence intervals on simulated discharge is used to reproduce discharge using observed and bias-corrected ECMWF Reanalysis 5th Generation (ERA5) rainfall (WFDE5). Five regional climate models from the EURO-CORDEX initiative are considered to estimate the climate change impacts on surface runoff for the Representative Concentration Pathway (RCP4.5) and RCP8.5 scenarios. Results indicate a future increase in evapotranspiration (+15 to +36%) associated with a decrease in precipitation (−16 to −34%) in both climate scenarios. The hydrological projections indicated a significant decrease in runoff (−57 to −86%), more severe when the model is driven by WFDE5 compared to observed precipitation. Consequently, the strong decline of surface water resources imply a change in water ressource management for hydropower production and local agriculture to adapt to the future climatic conditions.
Elemental profile of lipstick by AAS technique: Health risk investigation

Abstract In the current study, atomic absorption spectroscopy has been utilized to investigate the concentration level of metals such as Pb, Cd, Fe, Zn, and Cu on lipstick samples. Heavy metals such as Pb and Cd are hazardous to human health, and therefore, the potential health risk possess by these metals have been investigated. Pb concentration in two samples (L21 and L25) was found above the concentration limit set by the U.S. Food and Drug Administration which is 20 ppm. The hazard index values of Pb and Cd for both oral ingestion and dermal absorption was calculated and found to be less than unity, which indicated negligible non-carcinogenic health risk. The calculated lifetime cancer risk value for Cd suggested that the procured lipsticks were safe and would not pose any potential threats to consumers in their lifetime. Additionally, the concentration profile of metals obtained in the current study can be used in the data generation of concentration of metals of different lipstick brands, and can be helpful in evaluating the source and comparison of recovered lipstick exhibit from the crime scene.
ROLE OF MICRONUTRIENTS IN HEART DISEASES

Heart disease is a common occurrence in older patients in the civilized culture, and the rate is predicted to rise as the software advances. Patients with heart disease should be intended to eat a salt-free diet to lose adiposity. Diet is also critical for heart disease patients; those with nutrition deficits have a low deep prognosis. A growing body of research indicates a correlation between heart disease and a lack of micronutrients. Repairable heart disease has been linked to thiamine and selenium deficiency. Micronutrients and heart disease may, nevertheless, have a more moderate association, according to recent research. This article looks at studies that looked at micronutrient consumption, supplement effectiveness, and micronutrient ingestion in heart disease patients, with an emphasis on retinol, ascorbic acid, a fat-soluble vitamin, vitamin B1, other B vitamins, cholecalciferol, folate, iron, and copper. Because aging is the leading cause of coronary heart disease, treatments intended to reduce down the aging process or improving life expectancy are distinctly different from their standards for the treatment of coronary heart disease. Altering risky life decisions which might relate to aging and coronary heart diseases, such as nicotine usage, obesity, and unique lifestyles, is increasingly become part of the quality of practice.
QTest: A new way to easily sample, store, and ship samples to perform Q fever PCR analysis on bulk tank milk

Graphical Abstract Summary: In dairy cattle at the herd level, Coxiella burnetii can be diagnosed by PCR on bulk tank milk (BTM). To facilitate the collection and shipment of BTM samples to the laboratory, we validated the use of Whatman FTA Elute Micro Cards for the conservation of BTM in 2 studies. The first study evaluated the stability of samples over time and at 2 different storage temperatures. The second compared results for BTM stored on FTA cards and raw BTM stored as is.
Molecular Communication Channel Modelling in FPGA Technology

Molecular Communication (MC) is a new paradigm for communication processes with a variety of applications such as health care and industrial sectors. The rapid development of MC, with the support of testbeds and simulators, requires scalable modeling tools. In this paper, we propose a f ield-programmable gate array (FPGA) design-based approach for the emission, diffusion, and reception of molecules. Results exhibit a close correspondence to state of the art analytical modeling of MC processes.
Smart water management system for residential buildings in Saudi Arabia

As the consumption of water is increasing in arid countries such as Saudi Arabia, water management becomes a big challenge for both the government and society. The challenge also includes supplying continuous water with good quality at minimum cost. In this paper, we introduce a smart water management system that can be used in buildings where continuous flow of water is not available; instead, water is stored in big tanks underground of the buildings. The proposed smart system regulates the water flow between the underground tanks and other tanks on the top of the buildings and controls the water level in these tanks using LoRa communication technology. If the system detects any shortage of water or fault in the system mechanism that affect the water flow, such as faulty valves or defective pump, it deactivates the corresponding part and send an emergency signal to the building’s manager. In the mean time, the system also measures certain important water quality elements continuously and sends warning messages to the building’s manager if the value of any of these measurements exceeds safe levels. The system was run for a long period of time, where all water quality parameters were recorded. The system stopped and sent an emergency signal when water pump was deliberately disconnected but went back to operation after the pump was connected again. The proposed system proved to be a very good solution to the existing mechanically controlled system that most buildings in Saudi Arabia have.
A Vulnerable System

As threats to the security of information pervade the fabric of everyday life, this book describes how, even as the demand for information security increases, the needs of society are not being met. The result is that the confidentiality of our personal data, the integrity of our elections, and the stability of foreign relations between countries are increasingly at risk. The book convincingly shows that emergency software patches and new security products cannot provide the solution to threats such as computer hacking, viruses, software vulnerabilities, and electronic spying. Profound underlying structural problems must first be understood, confronted, and then addressed. This book delivers a long view of the history of information security, beginning with the creation of the first digital computers during the Cold War. From the key institutions of the so-called military industrial complex in the 1950s to Silicon Valley start-ups in the 2020s, the relentless pursuit of new technologies has come at great cost. The absence of knowledge regarding the history of information security has caused the lessons of the past to be forsaken for the novelty of the present, and has led us to be collectively unable to meet the needs of the current day. From the very beginning of the information age, claims of secure systems have been crushed by practical reality. The myriad risks to technology, the book reveals, cannot be addressed without first understanding how we arrived at this moment. The book is an enlightening and sobering history of a topic that affects crucial aspects of our lives.
A hybrid autoregressive fractionally integrated moving average and nonlinear autoregressive neural network model for short-term traffic flow prediction

Abstract Intelligent traffic control and guidance system is an effective way to solve urban traffic congestion, improve road capacity and guarantee drivers' travel safety, while short-term traffic flow prediction is the core of intelligent traffic control and guidance system. To investigate the long-term memory and the dynamic feature of short-time traffic flow time series, a hybrid model was proposed by integrating autoregressive fractionally integrated moving average (ARFIMA) model and nonlinear autoregressive (NAR) neural network model to predict short-time traffic flow, in which ARFIMA model can address the long-term memory of linear component and NAR neural network can accommodate the dynamic feature of nonlinear residual component. First, the ARFIMA model was employed to predict the linear component of traffic flow, and the results were compared with those of autoregressive integrated moving average (ARIMA) model. Next, the NAR neural network model was adopted to forecast the nonlinear residual components, and the weighted results were considered as the predicted flow of the hybrid model. The proposed hybrid model was validated by using the cross-sectional traffic flow data in California freeways obtained from the open-access PeMS database. The results showed that the ARFIMA model considering the long-term memory can effectively predict the short-term traffic flow, and the prediction accuracy of the hybrid model is better than that of the singular models. The findings provide an alternative for the short-term traffic flow prediction with lower error and higher accuracy.
Seemingly innocent pictures. Visual representations of migrants and refugees circulating through the Czech Facebook nationalistic universe

In recent years, a growing academic interest in both the theoretical and empirical examination of visual representations of migrants has become visible in the social sciences. Scholars coming from diverse disciplines have significantly contributed to our critical knowledge of the processes (e.g. depersonalisation, dehistorisation or orientalisation) and stereotypical representations through which migrants are depicted. The article expands on this research field and it examines the practices of visual communication among Facebook users, who actively contribute to online discussions on the issue of migration by creating and sharing topical visual material drawing upon the local and the international anti-immigrant content and context. In particular, it focuses on the visuals, which actively use the figures of humour, satire or parody in order to diminish the representatives of migration. The content of Facebook posts is approached in a complex way, and therefore visual as well as textual elements are analysed and their rhetorical strategies and intertextual references are also taken into consideration.
Wideband circularly polarized concentric cylindrical dielectric resonator antenna excited by helix

In this paper, a wideband circularly polarized two‐layer concentric cylindrical dielectric resonator antenna (CDRA) is proposed for C‐band applications. To generate the circular polarization in the CDRA, the proposed antenna is excited with four turn helical wire. The helix excites the two orthogonal modes (HE11δ) in quadrature phase, which result in the circular polarization. The four different design cases are investigated and the best one is fabricated and measured. The impedance bandwidth is improved when two‐layer concentric CDRA is used. The simulated and measured bandwidth of the proposed antenna varies from 3.60 to 6.03 GHz with impedance bandwidth of 50.46% and 3.65 to 6 GHz (48.70% impedance bandwidth) respectively, while axial ratio impedance bandwidth are 43.13% (4.20–6.51 GHz) and 38.82% (4.40–6.52 GHz) respectively. The proposed antenna attains 10.9 dBi measured peak gain at 4.5 GHz. The fabricated prototype is experimentally measured and its results are found to be in good agreement with the simulation results.
Examining the Role of Social Support for Adolescents from Low Socioeconomic Backgrounds in a College Access Program

Prior research has shown that college access programs help to increase college-going for youth from lower-income backgrounds. In addition to increasing college access, these programs also provide social support to youth and impact their academic and non-academic outcomes. Guided by risk and resilience frameworks, the present study examined social support from the college access program as a promotive factor for adolescents from lower socioeconomic backgrounds. The results indicated that social support was positively associated with personal resources, future college-going, and confidence in academic abilities. Overall, the current findings affirm the importance of investigating social support for adolescents from lower socioeconomic backgrounds. These findings also have implications for future research related to social support from college access programs.