Miracle-dz/UniFAR-FTUs huggingface dataset:
Protein-Based Systems for Translational Regulation of Synthetic mRNAs in Mammalian Cells

Synthetic mRNAs, which are produced by in vitro transcription, have been recently attracting attention because they can express any transgenes without the risk of insertional mutagenesis. Although current synthetic mRNA medicine is not designed for spatiotemporal or cell-selective regulation, many preclinical studies have developed the systems for the translational regulation of synthetic mRNAs. Such translational regulation systems will cope with high efficacy and low adverse effects by producing the appropriate amount of therapeutic proteins, depending on the context. Protein-based regulation is one of the most promising approaches for the translational regulation of synthetic mRNAs. As synthetic mRNAs can encode not only output proteins but also regulator proteins, all components of protein-based regulation systems can be delivered as synthetic mRNAs. In addition, in the protein-based regulation systems, the output protein can be utilized as the input for the subsequent regulation to construct multi-layered gene circuits, which enable complex and sophisticated regulation. In this review, I introduce what types of proteins have been used for translational regulation, how to combine them, and how to design effective gene circuits.
A Basis for Modelling Creep and Stress Relaxation Behaviour of Geogrids

Based on the test data published in 1997 by Leshchinsky et al., analytical models of the creep and stress relaxation of some geogrids are presented. It is shown that in the case of Geogrid C2 (high density polyethylene) a standard rheological model describes the experimental data in the low stress level range. In other cases, new rheological models can be developed, such as the new model proposed for Geogrid A1 (polyester). The models are defined by differential constitutive equations whose solutions are presented for creep at constant stress and stress relaxation at constant strain. Model parameters are also determined.
Seasonal Variations and Driving Factors of the Eastern Maine Coastal Current

Abstract To investigate the coastal current in the Gulf of Maine (GoME) and its relation to forcing from outside of the gulf, a high-resolution circulation model was developed and validated. Our model shows that the Eastern Maine Coastal Current (EMCC) possesses two cores, an offshore and a nearshore core that peak in summer and spring, respectively. The two cores can be traced back to outflows from the Bay of Fundy from opposite sides of Grand Manan Island, and both cores are deeper and slightly more onshore in summer and fall in response to tidal mixing, surface thermal stratification and wind. The two cores merge south of Pleasant Bay, then split into two branches again east of Mount Desert Rock, where the nearshore branch flows along the coast, while the offshore branch turns southward to recirculate in the eastern GoME. Subject to variations of Scotian Shelf Water and Slope Water (SW) inflows, the offshore veering occurs further upstream (northeastward) in late winter and summer, but gradually shifts downstream (southwestward) from summer to winter. Diagnosis of momentum balance demonstrates that the EMCC is primarily driven by the pressure gradient force (PG), of which the barotropic PG is dominant and
Long-Range Dependence and Multifractality of Ship Flow Sequences in Container Ports: A Comparison of Shanghai, Singapore, and Rotterdam

The prediction of ship traffic flow is an important fundamental preparation for layout and design of ports as well as management of ship navigation. However, until now, the temporal characteristics and accurate prediction of ship flow sequence in port are rarely studied. Therefore, in this study, we investigated the presence of long-range dependence in container ship flow sequences using the Multifractal Detrended Fluctuation Analysis (MF-DFA). We considered three representative container ports in the world—including Shanghai, Singapore, and Rotterdam container ports—as the study sample, from 1 January 2013 to 31 December 2017. Empirical results suggested that the ship flow sequences are deviated from normal distribution, and the sequences with different time scales exhibited varying degrees of long-range dependence. Furthermore, the ship flow sequences possessed a multifractal nature, where the larger the time scale of ship flow time series, the stronger the multifractal characteristics are. The weekly ship flow sequence in the port of Singapore owned the highest degree of multifractality. Furthermore, the multifractality presented in the ship flow sequences of container ports are due to the correlation properties as well as the probability density function of the ship flow sequences. The study outlines the importance of adopting these features for an accurate modeling and prediction for maritime ship flow series.
n-InAsSb/p-GaSb tunnel junctions with extremely low resistivity

An n-InAsSb/p-GaSb tunnel junction for intra-device contacts with an extremely low contact resistivity of 2.4/spl times/10/sup -6/ /spl Omega/ cm/sup 2/ is reported. Both sides of the junction were doped with silicon, using the amphoteric nature of the dopant for n- and p-type doping. This should provide long-term stability of the device.
The genome sequence of the spiny starfish, Marthasterias glacialis (Linnaeus, 1758)

We present a genome assembly from an individual Marthasterias glacialis (the spiny starfish; Echinodermata; Asteroidea; Forcipulatida; Asteriidae). The genome sequence is 521 megabases in span. The majority of the assembly, 99.44%, is scaffolded into 22 chromosomal pseudomolecules. The mitochondrial genome has also been assembled, and is 16 kb in span.
Test Methods for Time of Setting of Hydraulic Cement by Vicat Needle

1.1 These test methods determine the time of setting of hydraulic cement by means of the Vicat needle. Two test methods are given; Method A is the Reference Test Method using the manually operated standard Vicat apparatus, while Method B permits the use of an automatic Vicat machine that has, in accordance with the qualification requirements of this method, demonstrated acceptable performance. 1.2 The values stated in SI units are to be regarded as standard. No other units of measurement are included in this standard. 1.3 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety and health practices and determine the applicability of regulatory limitations prior to use. See 1.4 for a specific warning statement. 1.4 Warning—Fresh hydraulic cementitious mixtures are caustic and may cause chemical burns to skin and tissue upon prolonged exposure. The use of gloves, protective clothing, and eye protection is recommended. Wash contact area with copious amounts of water after contact. Wash eyes for a minimum of 15 min. Avoid exposure of the body to clothing saturated with the liquid phase of the unhardened material. Remove contaminated clothing immediately after exposure. 1.5 The text of this standard references notes and footnotes which provide explanatory material. These notes and footnotes (excluding those in tables and figures) shall not be considered as requirements of the standard.
H∞ Observer-Based Battery Fault Estimation for HEV Application

Abstract This paper presents an observer-based fault estimation method for the Li-ion battery used for hybrid electric vehicles (HEVs) propulsions, where battery ageing is treated as a fault. First, the nominal equivalent electric circuit (EEC) battery model and the extended one combining the effects of temperature and fault variations are given. Then the principle of fault estimation is stated, the fault observer with the general H ∞ configuration is depicted, some weighting functions for performance description are given. Finally, the fault observer is derived and simulation results both in frequency domain and time domain are given. The simulation results illustrate the availability of the proposed observer which owns excellent robustness performance with respect to disturbances, e.g., electrical current and temperature variations.
GAMBARAN USIA PADA KEJADIAN COVID-19

Covid-19 adalah Pandemi yang baru terjadi di akhir tahun 2019 yang disebabkan oleh SARS CoV2. Hal ini harus diwaspadai karena transmisi yang cepat, memiliki tingkat kesakitan yang tidak dapat diabaikan. Sampai saat ini, belum ada vaksin pencegahan dan terapi definitif yang belum terbukti. Usia lanjut pada beberapa artikel disebutkan sebagai faktor risiko Covid-19. Tujuan penelitian ini untuk mengetahui gambaran usia pada kejadian Covid-19. Merupakan penelitian kuantitatif dengan desain analitik observasional dengan pendekatan unmathced case control. Data yang digunakan adalah data sekunder rekam medik dan surveilans ruang isolasi RSUP Dr. M. Hoesin Palembang periode 1 Maret 2020 s/d 31 Juli 2020 yang berjumlah 666 responden. Analisis data menggunakan univariat untuk mengetahui gambaran usia pada kejadian Covid-19. Hasil penelitian didapatkan bahwa dari 116 usia berisiko (>65 tahun) yang terkonfirmasi positif sebanyak 30 (40,2%) sisanya 49 (59,8%) negatif. Sedangkan dari 550 usia yang tidak berisiko, sebanyak 277 (47,4%) terkonfirmasi positif dan sisanya 307 (52,6%) negative. Pada analisis bivariat, tidak ada hubungan yang signifikan secara statistik antara usia dengan Covid-19 dengan p value 0,270. Kesimpulan.Semua usia berisiko terkonfirmasi positif Covid-19, dan usia produktif paling berisiko Covid-19 yang dikarenakan mobilitas dan aktifitas sosial yang tinggi. Hal ini dapat dicegah dengan tetap melakukan protokol kesehatan.
Investigation on the interface trap characteristics in a p-channel GaN MOSFET through temperature-dependent subthreshold slope analysis

In this paper, a simple method based on subthreshold slopes was proposed to investigate the interface trap characteristics in a p-channel GaN MOSFET with a p-GaN/AlGaN/GaN structure on Si. The energy distribution of the interface trap density has been extracted from the analysis of the transfer characteristics in the subthreshold region of operation. The interface trap densities and respective energy distribution at both room temperature and 150 °C were also calculated from the ac conductance measurements at corresponding applied biases. Both characterization methods show similar results of trap densities and energy levels.
Dysfunction of exocytosis causes catecholamine hypersecretion in patient with pheochromocytoma

Pheochromocytoma (Pheo) is a neuroendocrine tumor that develops from chromaffin cells of the adrenal medulla, and is responsible of an excess of catecholamines secretion leading to severe clinical symptoms such as hypertension, elevated stroke risk and various cardiovascular complications. Surprisingly, hypersecretory activity of Pheo has never been explored at the cellular and molecular levels from individual tumor cells. In the present study, we have combined catecholamine secretion measurement by carbon fiber amperometry on human tumor cells directly cultured from freshly resected Pheo, with the analysis by mass spectrometry of the exocytotic proteins differentially expressed between the tumor and the matched adjacent non-tumor tissue. Catecholamine secretion recordings from individual Pheo cells obtained from most patients reveal a higher number of exocytic events per cell associated with faster kinetic parameters. Accordingly, we unravel significant tumor-associated modifications in the expression of key proteins involved in different steps of the calcium-regulated exocytic pathway. Altogether, our findings indicate that dysfunction of the calcium-regulated exocytosis at the level of individual Pheo cell is a cause of the tumor-associated hypersecretion of catecholamines.
40-Gbit/s transmission systems

Summary form only given. The transmission capability of fiber-optic systems has reached the terabit/sec region. In order to realize such potential transmission performance using existing fiber cables, management of chromatic fiber dispersion is a significant issue. Research on high-speed TDM systems is focused on the zero dispersion wavelength region. On the other hand, WDM transmission technology requires some dispersion to reduce crosstalk due to four-wave mixing along the fiber. Recently, extremely wideband erbium-doped fiber amplifiers (EDFAs) were developed. Such a wideband optical amplifier enables simultaneous amplification of high-speed TDM and WDM signals. Future photonic networks have to optimize each transmission speed against intrinsic dispersion characteristics to fully utilize the bandwidth of currently existing fibers. It is natural that modulation scheme and dispersion equalization should be carefully considered. We describe simple and broadband optoelectronic technologies, which provide low-cost and upgradable transmitters and receivers. In order to realize a 40-Gbit/s system under these requirements, we propose several new technologies; automatic dispersion equalization technique, optical duobinary modulation scheme, which doubles the dispersion tolerance compared to conventional nonreturn to zero (NRZ) modulation, and several novel device technologies.
Agro-industrial waste as a source of bioactive compounds: ultrasound-assisted extraction from blueberry (Vaccinium myrtillus) and raspberry (Rubus idaeus) pomace

Blueberry and raspberry pomace are a rich source of bioactive compounds that have not been commercially utilized yet, and ultrasound-assisted technology can efficiently extract these compounds. Also, the use of water as a solvent added to the ultrasound-assisted technology improves this eco-friendly process. Therefore, an aqueous eco-friendly extraction, including extraction time and ultrasound presence or absence (conventional extraction) was performed in order to extract bioactive compounds from blueberry and raspberry pomace. Response parameters included levels of anthocyanins, phenolic compounds, and flavonoids, and antioxidant activity determined by DPPH, ABTS, and FRAP methods. Analysis of variance results indicated that ultrasound-assisted extraction for 45 min. was feasible to extract the bioactive compounds. The antioxidant content of the extract obtained by the ultrasound-assisted process was 1.4 times higher on average and the total phenolic concentration was 1.6 times higher (for blueberry 5.02 and for raspberry 2.53 mg gallic acid equivalent/g) compared with those obtained by the conventional process. Thus, the ultrasound-assisted extraction method can be a profitable alternative to extract bioactive compounds from blueberry and raspberry pomace, as it is energy efficient, requires fewer chemicals, and produces less effluent. This eco-friendly technology is therefore viable for food, nutraceutical, and cosmetic industries, and also for reducing food waste.
Gas Turbine Off-Design Performance Adaptation Using a Genetic Algorithm

Gas turbine gas path diagnostics is heavily dependent on performance simulation models accurate enough around a chosen diagnostic operating point, such as design operating point. With current technology, gas turbine engine performance can be predicted easily with thermodynamic models and computer codes together with basic engine design data and empirical component information. However the accuracy of the prediction is highly dependent on the quality of those engine design data and empirical component information such as component characteristic maps but such expensive information is normally exclusive property of engine manufacturers and only partially disclosed to engine users. Alternatively, estimated design data and assumed component information are used in the performance prediction. Yet, such assumed component information may not be the same as those of real engines and therefore poor off-design performance prediction may be produced. This paper presents an adaptive method to improve the accuracy of off-design performance prediction of engine models near engine design point or other points where detailed knowledge is available. A novel definition of off-design scaling factors for the modification of compressor maps is developed. A Genetic Algorithm is used to search the best set of scaling factors in order to adapt the predicted off-design engine performance to observed engine off-design performance. As the outcome of the procedure, new compressor maps are produced and more accurate prediction of off-design performance is provided. The proposed off-design performance adaptation procedure is applied to a model civil aero engine to test the effectiveness of the adaptive approach. The results show that the developed adaptive approach, if properly applied, has great potential to improve the accuracy of engine off-design performance prediction in the vicinity of engine design point although it does not guarantee the prediction accuracy in the whole range of off-design conditions. Therefore, such adaptive approach provides an alternative method in producing good engine performance models for gas turbine gas path diagnostic analysis.Copyright © 2006 by ASME
Wide division ratio range programmable frequency divider with close-to-50% output duty-cycle

A novel wide division ratio (DR) range programmable frequency divider is presented in this article, which is based on the proposed divide-by-2/3/4 cell. The divider's output is buffered by a divide-by-2 cell; hence, it can achieve the close-to-50% output duty-cycle. The DRs can be set via the convenient provisions of binary bits. When the DR is even, the output duty-cycle is exactly 50%. If the DR is odd, the output duty-cycle is k/(2 k + 1), where k is a natural number, therefore, it becomes close-to-50% with an increasing k. A divider with eight DR control bits, which can realise the DRs from 8 to 511, is implemented in standard 0.18 µm complementary metal-oxide semiconductor technology, the die area is 0.02 mm2. The measured results show that the divider can obtain 44.4–50% output duty-cycle which corroborates with the calculation.
A Step Closer to the “Fourth 90”: A Practical Narrative Review of Diagnosis and Management of Nutritional Issues of People Living with HIV

The quality of life of people living with HIV (PLWH) has remarkably increased thanks to the introduction of combined antiretroviral therapy. Still, PLWH are exposed to an increased risk of cardiovascular diseases, diabetes, chronic kidney disease, and liver disease. Hence, the purpose of this review is to summarize the current knowledge about diagnosis and nutritional management with specific indication of macro and micronutrients intake for the main comorbidities of PLWH. In fact, a prompt diagnosis and management of lifestyle behaviors are fundamental steps to reach the “fourth 90”. To achieve an early diagnosis of these comorbidities, clinicians have at their disposal algorithms such as the Framingham Score to assess cardiovascular risk; transient elastography and liver biopsy to detect NAFLD and NASH; and markers such as the oral glucose tolerance test and GFR to identify glucose impairment and renal failure, respectively. Furthermore, maintenance of ideal body weight is the goal for reducing cardiovascular risk and to improve diabetes, steatosis and fibrosis; while Mediterranean and low-carbohydrate diets are the dietetic approaches proposed for cardioprotective effects and for glycemic control, respectively. Conversely, diet management of chronic kidney disease requires different nutritional assessment, especially regarding protein intake, according to disease stage and eventually concomitant diabetes.
A Novel Context Aware Joint Segmentation and Classification Framework for Glaucoma Detection

Glaucoma is a chronic ocular disease characterized by damage to the optic nerve resulting in progressive and irreversible visual loss. Early detection and timely clinical interventions are critical in improving glaucoma-related outcomes. As a typical and complicated ocular disease, glaucoma detection presents a unique challenge due to its insidious onset and high intra- and interpatient variabilities. Recent studies have demonstrated that robust glaucoma detection systems can be realized with deep learning approaches. The optic disc (OD) is the most commonly studied retinal structure for screening and diagnosing glaucoma. This paper proposes a novel context aware deep learning framework called GD-YNet, for OD segmentation and glaucoma detection. It leverages the potential of aggregated transformations and the simplicity of the YNet architecture in context aware OD segmentation and binary classification for glaucoma detection. Trained with the RIGA and RIMOne-V2 datasets, this model achieves glaucoma detection accuracies of 99.72%, 98.02%, 99.50%, and 99.41% with the ACRIMA, Drishti-gs, REFUGE, and RIMOne-V1 datasets. Further, the proposed model can be extended to a multiclass segmentation and classification model for glaucoma staging and severity assessment.
Study on Effects of Metro Tunnel Enlarged from Air Defense Tunnel on Adjacent Piles and Control Measures

Based on project in which the existing air defense tunnel was enlarged to build a metro tunnel adjacent to bridge piles in Harbin, the 3-D numerical simulation using FEM was conducted to analyze the internal forces and deformations of piles. The results show that the internal forces and deformations on the right side are larger than those on the left after the enlarged excavation on a single side on sidewalls. The maximum value as well as its position differs according to the distance between the pile and tunnel. After the enlarged excavation on the invert, the increase in the horizontal displacement is smaller than that after the excavation on the sidewall. As to the vertical displacement and axial force, the increase is prominent and the increasing value is larger than the excavation on the sidewall. After the reinforcement measures of advanced pre-supporting and radial grouting are used, According the results, the internal forces and deformations of piles decreases after measures were taken. Compared with measured data on site, the control effect is good.