Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhanced Sensitivity of Wired and Wireless Measurement for Liquid Concentration Based on a Modified Cylindrical Cavity

This article presents a miniaturized microwave sensor based on a cylindrical cavity for detecting the concentration of water-glucose solutions. To enhance the sensitivity, the cavity is modified in which two symmetrical metal wires with respect to its center are embedded. Compared with the conventional cavity, in the wired measurement, the modified sensor has increased sensitivities by 53% and 44% in terms of shifts of reflection and transmission resonant frequencies <inline-formula> <tex-math notation="LaTeX">${f}_{{11}}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">${f}_{{21}}$ </tex-math></inline-formula>, which are 17.86 and 14.16 MHz/1% concentration, respectively. In addition, semiwireless and passive full-wireless measurement methods are proposed. With a measuring distance of 30 cm, experimental results show that the sensitivities of the semiwireless measurement are 8.82 and 6.11 MHz/1% for <inline-formula> <tex-math notation="LaTeX">${f}_{{11}}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">${f}_{{21}}$ </tex-math></inline-formula>, which are increased by 50% and 35%, respectively, compared with the conventional cavity. The proposed full-wireless measurement with advantages including passivity, long-distance, and low-cost has a high sensitivity of 2.74 MHz/1% with the reading distance of 30 cm. Compared with other microwave glucose sensors, the proposed sensor has a better performance and the wireless methods are novel, which are expected to be used in biological and chemical sensors.
World Cup 2022 Knockout Stage Prediction Using Poisson Distribution Model

Football is one of the most popular sports in the world. The popularity makes every topic related to football interesting, for instance, the FIFA World Cup winner prediction. This topic is not only for casual discussion but could be a practical decision support for coaching staff to rate the team’s readiness. Most prediction methods use large match datasets. Since every national team has a different squad for every world cup and the FIFA World Cup is held every four years, the usage of a large match dataset is irrelevant. Therefore, there is a need for a prediction method based on the relevant data. We applied the Poisson distribution model for predicting the FIFA World Cup 2022 knockout stage match results. We calculate the probability of winning and losing based on their average goal scores and goal conceded and evaluate the difference by the actual result using de Finetti distance. The successful prediction is 8 out of 15 matches, with six inside the round of 16 games. Thus, the new data attributes need to reformulate Poisson’s lambda. Further studies need to add the 3-4 prior world cup matches data to increase the acceptance of prediction.
Bio-Inspired Nanocarriers Derived from Stem Cells and Their Extracellular Vesicles for Targeted Drug Delivery

With their seemingly limitless capacity for self-improvement, stem cells have a wide range of potential uses in the medical field. Stem-cell-secreted extracellular vesicles (EVs), as paracrine components of stem cells, are natural nanoscale particles that transport a variety of biological molecules and facilitate cell-to-cell communication which have been also widely used for targeted drug delivery. These nanocarriers exhibit inherent advantages, such as strong cell or tissue targeting and low immunogenicity, which synthetic nanocarriers lack. However, despite the tremendous therapeutic potential of stem cells and EVs, their further clinical application is still limited by low yield and a lack of standardized isolation and purification protocols. In recent years, inspired by the concept of biomimetics, a new approach to biomimetic nanocarriers for drug delivery has been developed through combining nanotechnology and bioengineering. This article reviews the application of biomimetic nanocarriers derived from stem cells and their EVs in targeted drug delivery and discusses their advantages and challenges in order to stimulate future research.
A Meta-Analysis of the Relation Between RAN and Mathematics

Several studies have shown that rapid automatized naming (RAN) is a significant predictor of mathematics, but the nature of their relationship remains elusive. Thus, the purpose of this meta-analysis was to estimate the size of their relationship and determine the conditions under which they correlate. We used a random-effects model analysis of data from 38 studies (33 unique samples, 151 correlations, 7,135 participants) to examine the size of the RAN–mathematics relationship and the role of different moderators (i.e., math measure and variable, type of RAN task, math age, study design, and sample characteristics). The results showed a significant correlation between RAN and mathematics (r = .37; 95% confidence interval [CI] [.33–.42]) as well as a large heterogeneity of individual correlations. The results also revealed that RAN produced stronger correlations with arithmetic calculation tasks than with general achievement tests; stronger correlations with single-digit calculation tasks than multidigit calculation tasks; and stronger correlations with math fluency tasks than math accuracy tasks. The effect of these moderators suggests that part of the reason why RAN predicts mathematics is that they both require quick access to and retrieval of phonological representations from long-term memory. Our findings also suggest that RAN objects or colors can be used as early predictors of mathematical skill, especially of arithmetic fluency.
Intranasally Administered MSC-Derived Extracellular Vesicles Reverse Cisplatin-Induced Cognitive Impairment

Neurotoxic side effects of chemotherapy include deficits in attention, memory, and executive functioning. Currently, there are no FDA-approved therapies. In mice, cisplatin causes long-term cognitive deficits, white matter damage, mitochondrial dysfunction, and loss of synaptic integrity. We hypothesized that MSC-derived small extracellular vesicles (sEVs) could restore cisplatin-induced cognitive impairments and brain damage. Animals were injected with cisplatin intraperitoneally and treated with MSC-derived sEVs intranasally 48 and 96 h after the last cisplatin injection. The puzzle box test (PBT) and the novel object place recognition test (NOPRT) were used to determine cognitive deficits. Synaptosomal mitochondrial morphology was analyzed by transmission electron microscopy. Immunohistochemistry using antibodies against synaptophysin and PSD95 was applied to assess synaptic loss. Black-Gold II staining was used to quantify white matter integrity. Our data show that sEVs enter the brain in 30 min and reverse the cisplatin-induced deficits in executive functioning and working and spatial memory. Abnormalities in mitochondrial morphology, loss of white matter, and synaptic integrity in the hippocampus were restored as well. Transcriptomic analysis revealed upregulation of regenerative functions after treatment with sEVs, pointing to a possible role of axonal guidance signaling, netrin signaling, and Wnt/Ca2+ signaling in recovery. Our data suggest that intranasal sEV treatment could become a novel therapeutic approach for the treatment of chemobrain.
Tracks detection from high-orbit space objects

The paper presents studies results of a complex algorithm for the detection of highly orbital space objects. Before the implementation of the algorithm, a series of frames with weak tracks of space objects, which can be discrete, is recorded. The algorithm includes pre-processing, classical for astronomy, consistent filtering of each frame and its threshold processing, shear transformation, median filtering of the transformed series of frames, repeated threshold processing and detection decision making. Modeling of space objects weak tracks on of the night starry sky real frames obtained in the regime of a stationary telescope was carried out. It is shown that the permeability of an optoelectronic device has increased by almost 2m.
Model-Based Diagnosis of Multiple Faults in Hybrid Dynamical Systems With Dynamically Updated Parameters

In this paper, online fault detection and isolation (FDI) of multiple faults for a hybrid dynamical system based on partly decentralized model-based diagnosis architecture is presented. A quantitative model-based diagnosis method for both discrete and parametric faults occurring sequentially is proposed here, in which system global model is partitioned into various subsystems by analyzing the global fault sensitivity signature matrix (GFSSM) and mode change sensitivity signature matrix (MCSSM) of the global system. A local diagnoser is designed for each subsystem resulting in local GFSSM and MCSSM; and supervisory diagnoser is required only when if more than one local diagnoser generate alarm. The proposed method can also be used to solve the problem of sequentially occurring faults detection and isolation for a centralized or distributed architecture-based diagnosis. Residual sensitivity signature with the GFSSM and MCSSM is used to determine a smaller set of possible fault candidates after detection of a fault by the respective local diagnoser. It is shown that use of fault direction information from GFSSM and MCSSM improves the fault isolation process for discrete or parametric fault and also improves the local parameter estimation process. The identified discrete fault or estimated parameters are then used to update the corresponding nominal model which allows for FDI of the next fault. For robust FDI, adaptive residual threshold is used which accounts for the process, measurement uncertainties and mode change, including the parameter estimation uncertainties. Algorithms and codes have been developed in industry preferred MATLAB-LabVIEW interface for real time monitoring of the hybrid system. The developed method is first tested on the four-tank hybrid system model through simulation. Then it is experimentally validated with real experimental data collected from a reduced-scale equivalent hybrid electronic circuit model of a bench mark two-tank system for checking the robustness of the proposed approach. The developed method is shown to produce accurate diagnosis of sequentially occurring faults in hybrid systems and saves valuable CPU time as compared with centralized approach.
Pengaruh Foreign Direct Investment Dan Urbanisasi Terhadap Penerimaan Pajak Dengan Moderasi Pengendalian Korupsi Pada Negara ASEAN

Tujuan penelitian ini adalah untuk mengetahui pengaruh Foreign Direct Investment (FDI), Penduduk Urban, dan Pengendalian Korupsi terhadap Penerimaan Pajak. Penelitian ini juga bertujuan untuk melihat pengaruh moderasi Pengendalian Korupsi terhadap hubungan Foreign Direct Investment (FDI) dan Urbanisasi terhadap Penerimaan Pajak. Penelitian dilakukan menggunakan regresi data panel dengan model Panel-Corrected Standard Errors (PCSE) pada 8 negara ASEAN periode 2002-2019. Hasil penelitian menunjukkan bahwa seluruh variabel secara simultan berpengaruh kepada penerimaan pajak. Secara parsial, Foreign Direct Investment (FDI) dan Pengendalian Korupsi berpengaruh positif terhadap penerimaan pajak. Sedangkan Penduduk Urban berpengaruh negatif terhadap penerimaan pajak. Hasil moderasi Pengendalian Korupsi memperlemah pengaruh Foreign Direct Investment (FDI) terhadap penerimaan pajak dan memperkuat pengaruh negatif Urbanisasi terhadap penerimaan pajak. Dampak negatif Pengendalian Korupsi terhadap hubungan Foreign Direct Investment (FDI)dan Penduduk Urban tidak lepas dari Pengendalian Korupsi yang masih rendah di kebanyakan negara ASEAN. Berdasarkan penelitian ini, negara-negara ASEAN dapat membuat kebijakan yang dapat menarik masuknya Foreign Direct Investment (FDI), mengurangi dampak negatif Urbanisasi, dan mendorong pemberantasan korupsi melalui Pengendalian Korupsi yang baik.
Magnesium-Rich Calcium Phosphate Derived from Tilapia Bone Has Superior Osteogenic Potential

We extracted magnesium-rich calcium phosphate bioceramics from tilapia bone using a gradient thermal treatment approach and investigated their chemical and physicochemical properties. X-ray diffraction showed that tilapia fish bone-derived hydroxyapatite (FHA) was generated through the first stage of thermal processing at 600–800 °C. Using FHA as a precursor, fish bone biphasic calcium phosphate (FBCP) was produced after the second stage of thermal processing at 900–1200 °C. The beta-tricalcium phosphate content in the FBCP increased with an increasing calcination temperature. The fact that the lattice spacing of the FHA and FBCP was smaller than that of commercial hydroxyapatite (CHA) suggests that Mg-substituted calcium phosphate was produced via the gradient thermal treatment. Both the FHA and FBCP contained considerable quantities of magnesium, with the FHA having a higher concentration. In addition, the FHA and FBCP, particularly the FBCP, degraded faster than the CHA. After one day of degradation, both the FHA and FBCP released Mg2+, with cumulative amounts of 4.38 mg/L and 0.58 mg/L, respectively. Furthermore, the FHA and FBCP demonstrated superior bone-like apatite formation; they are non-toxic and exhibit better osteoconductive activity than the CHA. In light of our findings, bioceramics originating from tilapia bone appear to be promising in biomedical applications such as fabricating tissue engineering scaffolds.
A Functional Analysis of the Role of Deposits in the Traditional Banking Industry

ABSTRACT This paper proposes a functional analysis of the input of the traditional banking sector in an endogenous money framework. Although banks create bank money, central bank money (or reserves) cannot be produced by banks, which require it as an input. Deposits are the cheapest source of central bank money already in the system, so it can be argued that deposits serve as inputs for the banking industry. Nevertheless, for individual banks it is necessary to draw some distinctions between deposits corresponding to liquidity injection and pure accounting entries that are generated by the creation of loans. Furthermore, the role of bank bonds is discussed, in the context of whether they function more as equity or as deposits. Unlike other industries, it is hypothesised that the functional role of bank bonds is very different from that of equity, and it is rather a different form of bank funding of liquidity, with some advantages and disadvantages compared to deposits. Finally, a brief comparison is pursed between this analysis of the traditional banking sector and the simpler study of other financial intermediaries.
Strain-driven oxygen deficiency in multiferroic SrMnO3 thin films

The structural and electronic properties of a series of SrMnO3 thin films grown on different substrates leading to different biaxial strains are examined by means of aberration-corrected high-angle annular dark-field scanning transmission electron microscopy and electron energy-loss spectroscopy (EELS). Here, we report a comprehensive theoretical investigation on the impact of oxygen nonstoichiometry and strain on the O-K and Mn-L-2,L-3 electron energy-loss near-edge structures of SrMnO3 with the aid of the all-electron density functional theory code WIEN2K. Our experimental and theoretical EELS data reveal pronounced peak-height changes and energy shifts as a function of strain, which are ascribed to differences in the oxygen vacancy density rather than to a direct effect of lattice distortions. In addition, we find that the formation of oxygen vacancies in SrMnO3 is likely to be enhanced by tensile strain. Compared to the unstrained material, the vacancy formation energy is reduced by 0.25 eV under 3.78% tensile strain.
Oral nifedipine versus intravenous labetalol for hypertensive emergencies during pregnancy: a systematic review and meta-analysis

Abstract Aim: The optimal drug management strategy for severe hypertension during pregnancy remains inconclusive. Some randomized controlled trials found that oral nifedipine was more effective than intravenous labetalol in hypertensive emergencies during pregnancy, while others found otherwise. As a result, we conducted a meta-analysis to assess the effectiveness of oral nifedipine versus intravenous labetalol for hypertensive emergencies during pregnancy. Methods: We searched PubMed, Embase, and the Cochrane Library for randomized controlled trials that compared oral nifedipine versus IV labetalol in hypertensive emergencies during pregnancy. Results: 12 RCTs enrolling 1151 participants (573 in the labetalol group and 578 in the nifedipine group) were included in the meta-analysis. Patients who received oral nifedipine reached their target blood pressure more rapidly than those who received intravenous labetalol (MD 7.64, 95%CI 4.08–11.20, p < .0001). The nifedipine group required fewer doses to achieve the target blood pressure (MD 0.62, 95%CI 0.36 to 0.88, p < .00001). There were no meaningful differences on the maternal complications between the two groups, mainly including eclampsia (OR 1.51; 95% CI, 0.75–3.05; p = .25), headache (OR 0.86; 95% CI, 0.52–1.44; p = .57), nausea/vomiting (OR 1.50; 95% CI, 0.76–2.93; p = .24), hypotension (OR 0.49; 95% CI, 0.12–1.99; p = .32), dizziness (OR 2.01; 95% CI, 0.77–5.25; p = .16), HELLP (OR 0.27; 95% CI, 0.05–1.64; p = .16), palpitations (OR 0.63; 95% CI, 0.32–1.27; p = .20), flushing (OR 0.77; 95%CI, 0.18–3.22; p = .72). There were no significant difference in the neonatal complications, including NICU admission (OR 1.24; 95% CI, 0.87–1.77; p = .23), 5 min Apgar score < 7 (OR 1.07; 95% CI, 0.82–1.39; p = .63), neonatal deaths (OR 1.08; 95%CI, 0.66–1.76; p = .77), FHR abnormality (OR 0.94; 95%CI, 0.47–1.88; p = .86). Conclusion: In conclusion, oral nifedipine could achieve target blood pressure more rapidly and required fewer doses than intravenous labetalol in the management of hypertensive emergencies during pregnancy.
Method of identifying urban heat islands by remote sensing based on big data

In recent decades, the speed of construction, expansion, and development of smart cities by humans has been increasing faster, thanks to new technologies. However, alongside the fantastic development of new technologies also comes negative impacts such as climate change. One of the characteristics of climate change is the changing thermal comfort of humans living in the city. Heat stress is a feature of the urban heat island phenomenon. Congestion of airflows within the urban area causes localized hot areas, causing a temperature difference of 2-3 degrees between the areas inside the city and the suburbs. This study presents a method for determining surface temperature and the location of heat islands based on Google's cloud computing platform. The platform uses a combination of satellite imagery, Earth observation data, and machine learning algorithms to allow users to identify and measure changes in land use, ecosystems, and climate patterns at a global scale. Google Earth Engine enables researchers and organizations to process enormous amounts of data with short turnaround times. The method described in the article allows the analysis and retrieval of data in the large dataset of the Landsat 8 satellite. By determining the location of heat islands, the government, policymakers, and planners can develop plans to cope with the urban heat island phenomenon and improve the quality of life for residents.
Spectral-Spatial Superpixel Anchor Graph-Based Clustering for Hyperspectral Imagery

Hyperspectral image (HSI) clustering has attracted great attention in the field of remote sensing. General anchor-based clustering methods often suffer from the problems of unstable anchor selection and insufficient utilization of spatial information, resulting in poor clustering performance. In this letter, a spectral-spatial superpixel anchor graph-based clustering (S3AGC) method is proposed for HSIs. Specifically, S3AGC further improves the clustering performance by simultaneously considering spatial and structural information as well as an advanced anchor selection strategy. Based on the spatial distribution, a useful HSI denoising solution is presented to reduce noise interference, and an effective anchor selection strategy is raised to alleviate the instability of random or clustering selection. Besides, we use a graph convolution method to embed structural information of spectral bands into the proposed framework. Experiments on HSI datasets verify the effectiveness of S3AGC.
The trend of oral cancer screening in Bangladesh, perceptions, and risk factors: a model comparison approach

Background: Oral cancer (OC) is a leading cause of death among cancer patients and a major public health concern in Bangladesh. Timely OC screening can help in the early detection of OC and could reduce the mortality rate in Bangladesh. We aimed to assess the tend of OC screening, perception and risk factors among dental patients. Methods: This was a facility-based cross-sectional study among 423 participants with dental problems using a convenience sampling technique. The collected data were analyzed by IBM SPSS 25 and various statistics, such as the chi-squared test, Poisson regression, logistic regression, etc., were used to attain the objectives. Results: Only 2.4% of the study participants underwent OC screening before the study period. The use of smokeless tobacco and smoking were significantly associated with the tend of OC screening. According to the Poisson model, previous smokeless tobacco users were 5 times (odds ratio (OR): 5.403, P<0.05) more likely than non-users to go for OC screening, which was 8 times (OR: 7.729, P=0.033) for the binary logistic regression. Having a family history of OC increased the odds of receiving an OC screening by nine times (OR: 9.544, P<0.002) compared to individuals without a family history of OC; it was 16 times (OR: 16.438, P=0.001) for the binary logistic regression. Conclusions: This study shows former smokeless tobacco users and past smokers are more likely to uptake OC screening than non-users. In addition, patients having a family history of OC increased the odds of receiving OC screening than subjects without a family history of OC. The lack of OC screening in Bangladesh highlights the need to implement a national-level screening program to help with the early diagnosis of OC and its prevention.