Miracle-dz/UniFAR-FTUs huggingface dataset:
Response surface methodology-aided maceration method optimization of quercetin-standardized purified extract of shallot skin (Allium cepa L var. aggregatum)

: Shallot skin has potential as a medicinal raw material because it contains many quercetin compounds. It is necessary to conduct a study on the optimization of extraction methods and the extracts standardization. The purpose of this study is the standardization of simplicia, optimization of extraction methods and standardization of shallot skin purified extract as standardized on quercetin. This study is aimed to support quality control of simplicia and shallot skin extract as a source of quercetin. The methods of the study include the collection of raw materials, preparation of simplicia, standardization of simplicia, and optimization of extraction methods with Response Surface Methodology (RSM) using Box-Behnken Design (BBD), standardization of standardized quercetin purified extracts. Based on the results obtained, shallot skin simplicia has a moisture content of 7.98 and a total ash content of 9.91%. Based on the analysis, the optimum point of the solvent concentration factor, time, and the solvent ratio on the yield of the purified extract were respectively 60.42%, 1.29 hours, and 24.45 mL/g. The yield average obtained was 5.16 ± 0.1125 % with a content of 5.947 ppm (0.005497 mg/g).
A New Characterization within the Spatial Verification Framework for False Alarms, Misses, and Overall Patterns

AbstractThis paper proposes new diagnostic plots that take advantage of the lack of symmetry in the mean-error distance measure (MED) for binary images to yield a new concept of false alarms and misses appropriate to the spatial setting where the measure does not require perfect matching to be a hit or correct negative. Additionally, three previously proposed geometric indices that provide complementary information about forecast performance are used to produce useful diagnostic plots for forecast performance. The diagnostics are applied to previously analyzed case studies from the spatial forecast verification Intercomparison Project (ICP) to facilitate a comparison with more complicated methods. Relatively new test cases from the Mesoscale Verification Intercomparison over Complex Terrain (MesoVICT) project are also employed for future comparisons. It is found that the proposed techniques provide useful information about forecast model behavior by way of a succinct, easy-to-implement method that can be .
Upregulation of integrin‑linked kinase enhances tumor progression in gemcitabine‑resistant pancreatic cancer

Pancreatic cancer (PaCa) tends to be resistant to chemotherapy and is associated with a very poor prognosis. It has been previously reported by the authors that integrin-linked kinase (ILK) is a prognostic factor in PaCa. ILK expression was examined in a newly established gemcitabine (Gem)-resistant (Gem-R) PaCa cell line and it was demonstrated that ILK expression was upregulated compared with that in Gem-sensitive (Gem-S) cells. In the present study, the effects of increased ILK expression in Gem-R PaCa cells were evaluated and it was examined whether compound 22 (Cpd22), an ILK inhibitor, exerted antitumor effects not only in Gem-S cells but also in Gem-R cells. Reverse transcription-quantitative polymerase chain reaction and western blotting revealed that ILK expression was higher in Gem-R PaCa cells than in Gem-S PaCa cells. Cpd22 inhibited the growth of PaCa cells in a concentration-dependent manner. Cpd22 also inhibited the growth of Gem-R PaCa cells. The invasive and angiogenic potential of Gem-R PaCa cells was enhanced compared with that in Gem-S cells; however, ILK small interfering RNA and Cpd22 treatment suppressed this enhancement of invasive potential compared with that in Gem-S cells. The addition of Cpd22 to Gem also improved the sensitivity of Gem-R cell lines to Gem. Furthermore, enhanced Akt signaling was associated with increased malignancy in Gem-R cell lines. In conclusion, ILK was upregulated with resistance and may be involved in tumor angiogenesis, invasive potential, and chemotherapy resistance, which were all suppressed by Cpd22 treatment. Thus, Cpd22 may be a novel therapeutic agent for the treatment of PaCa.
A Novel Design of Hilbert Huang Based All Digital Phase Locked Loop Using FPGA

Many applications for digital processing are steadily increasing in radio frequency signal processing from analog to digital. ADPLL plays a vital role in digital signal processing. Several ADPLL models were introduced in the past. However, in those models, the power dissipation gets increased due to the delay in the lock state. Due to the generated digital noise, the system leads the output signal with inherent phase noise and does not undergo the frequency division process. Therefore, a novel Hilbert-Huang based All Digital Phase Locked Loop (HH-ADPLL) was proposed to make the ADPLL into the locked state. The input reference signal is initially entered in the Hilbert-Huang transform to extract the analytic component and generate the up and down signals. By eliminating the higher frequency part from these signals, the up/down counter produces borrow and carry signals. The carry and borrow signals are fed into the increment decrement counter to produce the output signal. At last, input and output signal matching is carried out in the phase detector module, and ADPLL enters a locked state. The presented HH-ADPLL is implemented in Artix-7 FPGA, and the efficiency is validated in terms of stability, phase error, power dissipation, combinational delay, and performance improvement computed.
Deep Learning-Based BSDE Solver for Libor Market Model with Applications to Bermudan Swaption Pricing and Hedging

The Libor market model is a mainstay term structure model of interest rates for derivatives pricing, especially for Bermudan swaptions, and other exotic Libor callable derivatives. For numerical implementation the pricing of derivatives with Libor market models is mainly carried out with Monte Carlo simulation. The PDE grid approach is not particularly feasible due to Curse of Dimensionality. The standard Monte Carlo method for American/Bermudan swaption pricing more or less uses regression to estimate expected value as a linear combination of basis functions (Longstaff and Schwartz). However, Monte Carlo method only provides the lower bound for American option price. Another complexity is the computation of the sensitivities of the option, the so-called Greeks, which are fundamental for a trader's hedging activity. Recently, an alternative numerical method based on deep learning and backward stochastic differential equations appeared in quite a few researches. For European style options the feedforward deep neural networks (DNN) show not only feasibility but also efficiency to obtain both prices and numerical Greeks. In this paper, a new backward DNN solver is proposed for Bermudan swaptions. Our approach is representing financial pricing problems in the form of high dimensional stochastic optimal control problems, FBSDEs, or equivalent PDEs. We demonstrate that using backward DNN the high-dimension Bermudan swaption pricing and hedging can be solved effectively and efficiently. A comparison between Monte Carlo simulation and the new method for pricing vanilla interest rate options manifests the superior performance of the new method. We then use this method to calculate prices and Greeks of Bermudan swaptions as a prelude for other Libor callable derivatives.
Plasma-Rich Fibrin—Regenerative Material in Tympanic Membrane Surgery

Background and Objectives: Platelet-rich fibrin (PRF) membrane plays an important role in cell proliferation and aids in healing. This study aimed to assess the safety and efficacy of the addition of PRF to the graft in tympanoplasty. Materials and Methods: A retrospective study was conducted involving 47 patients with chronic dry eardrum perforation, who were candidates for different types of tympanoplasty (type I-IV). The study took place in the ENT department, County Emergency Clinical Hospital of Cluj-Napoca. In group 1 (27 patients) tympanoplasty was performed with a cartilage graft, while in group 2 (20 patients) a cartilage graft was used with the addition of a PRF membrane. The PRF clot was extracted and transformed into a thin membrane. Postoperative evaluation included otoendoscopy and otomicroscopy at 1, 3, 6, and 12 months after surgery, as well as pure-tone audiometry at 12 months. Results: Postoperative follow-up at 1, 3, 6, and 12 months showed a higher rate of graft survival in the PRF group than in the non-PRF group. At the 12-month mark, a successful outcome was observed in 95.0% of patients in the PRF group, while the success rate in group 1 was 70.4% (p < 0.05). The postoperative hearing threshold value was statistically significantly lower in the group with PRF, compared to the non-PRF group, being 18.4 ± 10.4 dB and 27.6 ± 16.2 dB (p < 0.001), respectively. Although the postoperative air-bone gap value did not differ significantly between groups, there was a greater improvement in the PRF group (p < 0.7). The PRF was well tolerated, and the incisions healed perfectly. Conclusions: The PRF membrane increases the rate of autograft survival and is therefore an effective material for patients with chronic perforations of the tympanic membrane.
Design of Beta-2 Microglobulin Adsorbent Protein Nanoparticles

Beta-2 microglobulin (B2M) is an immune system protein that is found on the surface of all nucleated human cells. B2M is naturally shed from cell surfaces into the plasma, followed by renal excretion. In patients with impaired renal function, B2M will accumulate in organs and tissues leading to significantly reduced life expectancy and quality of life. While current hemodialysis methods have been successful in managing electrolyte as well as small and large molecule disturbances arising in chronic renal failure, they have shown only modest success in managing plasma levels of B2M and similar sized proteins, while sparing important proteins such as albumin. We describe a systematic protein design effort aimed at adding the ability to selectively remove specific, undesired waste proteins such as B2M from the plasma of chronic renal failure patients. A novel nanoparticle built using a tetrahedral protein assembly as a scaffold that presents 12 copies of a B2M-binding nanobody is described. The designed nanoparticle binds specifically to B2M through protein–protein interactions with nanomolar binding affinity (~4.2 nM). Notably, binding to the nanoparticle increases the effective size of B2M by over 50-fold, offering a potential selective avenue for separation based on size. We present data to support the potential utility of such a nanoparticle for removing B2M from plasma by either size-based filtration or by polyvalent binding to a stationary matrix under blood flow conditions. Such applications could address current shortcomings in the management of problematic mid-sized proteins in chronic renal failure patients.
An adaptive approach for compression format based on bagging algorithm

ABSTRACT The traditional parallel Sparse matrix vector multiplication (SpMV) method has been optimized by an application-specific or compression format-specific. However, a single compression format cannot deal with all sparse matrix types effectively in practical applications. To solve this problem, an adaptive compression format based on Bagging ensemble learning algorithm is proposed in this paper. Experiments show that the adaptive compression format has higher prediction and computational performance on NVIDIA V100 and NVIDIA RTX 2080Ti. Compared with SpMV of the four compression formats, SpMV based on adaptive compression format reduces the execution time of 1.5×, 6.6×, 9× and 1.1×, respectively.
Avaliação de frameworks para Recuperação de Documentos Legislativos: um Estudo de Caso na Câmara dos Deputados Brasileira

Este trabalho investiga frameworks de recuperação de informações para lidar com as dificuldades existentes no processo de elaboração de leis da Câmara dos Deputados do Brasil. Dois frameworks de código aberto foram escolhidos. Além disso, foram avaliadas diferentes técnicas de pré-processamento, incluindo stemmers e modelos de linguagem n-gram. Dois corpora legislativos da Câmara foram usados para construir e validar os experimentos. Os resultados foram comparados com um baseline utilizado pela Câmara dos Deputados. O baseline apresentou o melhor resultado, alcançando um Recall para 20 documentos de 0,7376.
Review of the Role of Nanotechnology in Overcoming the Challenges Faced in Oral Cancer Diagnosis and Treatment

Throughout the world, oral cancer is a common and aggressive malignancy with a high risk of morbidity, mortality, and recurrence. The importance of early detection in cancer prevention and disease treatment cannot be overstated. Conventional therapeutic strategies have minor difficulties but considerable side effects and unfavourable consequences in clinical applications. Hence, there is a requirement for effective ways for early detection and treatment of oral cancer. At present, numerous forms of nanoparticles have piqued researchers’ interest as a potentially useful tool for diagnostic probes and medicinal devices. Because of their inherent physicochemical properties and customizable surface modification, they are able to circumvent some of restrictions and accomplish the intended diagnostic and therapeutic impact. Nanotechnology is a unique field that has revolutionised the industry and is paving the way for new treatments for oral cancer. It can help with a better diagnosis with less harmful substances and is setting current guidelines for treatment. The use of nanotechnology in cancer diagnosis, therapy, and care improves clinical practise dramatically. The different types of nanoparticles that have been developed for the diagnosis and therapy of oral cancers will be covered in this study. The difficulties and potential uses of nanoparticles in the treatment and diagnosis of oral cancer are then highlighted. In order to emphasise existing difficulties and potential remedies for oral cancer, a prospective view of the future is also provided.
Effect of Different Sterilization Methods on the Quality of Antarctic Krill (<i>Euphausia superba</i>) Sauce

: The Antarctic krill ( Euphausia superba ) sauce was used as the experimental object to evaluate the effects of various sterilizing methods on the quality and safety of Antarctic krill sauce by measuring sensory, texture, rheology, color and taste. The findings revealed that Antarctic krill sauce has a distinct flavor, a rich texture, and a high acceptance. As a result of these findings, the odor and sensory ratings are bad. When compared to other treatment groups, the ultraviolet (UV) treated group had worse taste and smell scores ( p <0.05) than the control group (CG). Meanwhile, the UV had the greatest L * value (28.97) in color, as well as hardness and hardness work values of 166.90 g and 9.33 mJ, suggesting that the hardness values and hardness work values of Antarctic krill sauce, on the other hand, displayed low tissue structural uniformity. The hardness and hardness work values of Antarctic krill sauce with microwave (MV) treatment, on the other hand, were 128.80 g and 6.59 mJ, respectively, while the rheological value was 17.49 Pa·s. The rheological value showed that Antarctic krill sauce treated with MV had low shear force and acceptable texture uniformity. Importantly, the MV treatment had little effect on the flavor, odor, and color of Antarctic krill sauce. In general, supply fundamental facts and innovative ideas for high-value commercial technology, quality enhancement, and comprehensive Antarctic krill usage. The study's findings will be presented in the following publications in the future.
Reliability of metrics associated with a counter-movement jump performed on a force plate

ABSTRACT The counter-movement jump is a consequence of maximal force, rate of force developed, and neuromuscular coordination. Thus, the counter-movement jump has been used to monitor various training adaptations. However, the smallest detectable difference of counter-movement jump metrics has yet to be established. The objective of the present study was to measure the reliability of counter-movement jump metrics, including rate of force development, flight time, time to max force, and max force. Twenty-nine male participants (mean age 25 ± 3 years) were divided into three groups. Each participant performed five counter-movement jumps on a force plate, on three consecutive days. Flight time detected trivial changes, (effect size < .2) and typical error of measurement of . 25%; max force detected small changes (effect size < .5) with a typical error of measurement of . 3%; rate of force development detected small to medium change (effect size .5–.8) with a typical error of measurement of . 3%.
IMPACT OF WORK ENGAGEMENT ON TURNOVER INTENTION AMONG NURSE AT X HOSPITAL SURABAYA

Background: Nurse turnover is still a world problem. Changing nurses can be detrimental to the hospital organization. Strategies are needed so that nurses' intentions to leave the hospital do not materialize, one of which is work engagement. Work engagement is expected to make nurses not think about leaving their jobs because engagement conditions make nurses feel involved and more focused on their work until they never to think about leaving their jobs. Objectives: This study was conducted to see how the impact of work engagement on the level of turnover intention among nurses. Methods: A cross-sectional study design was conducted. Questionnaire was used to collect data which is taken to 130 nurses in Surabaya, Indonesia, using cluster sampling technique. Data were analyzed using binary logistic regression techniques to test the impact from work engagement to turnover intention. Results: A significant indirect effect from work engagement to turnover intention among nurse founded in this study. If work engagement higher, the turnover intention will be lower. Conclusion: Turnover intention can be significantly reduced directly by work engagement. Work engagement in nurses can provide job satisfaction and positive work experience, positive work thinking, and good physical and mental health which can increase nurse work efforts, where positive work experience and thinking can produce good performance, making nurses feel highly valued, so that nurses don’t think about leaving health care organizations.
Two-dimensional shear waves scattering by a large rigidity strip with interface crack

Abstract A two-dimensional problem of shear horizontal (SH) waves scattering by a finite width planar elastic (piezoelectric) inclusion partially debonded from its surrounding elastic matrix is investigated using the effective boundary conditions and singular integral equations technique. The case of large rigidity inclusions with blunted tips is considered, in which the upper face of the inclusion is perfectly bonded to the matrix. The debonding region is modeled as interface crack with non-contacting faces. Using the Green theorem the mixed boundary value problem is reduced to a system of the hypersingular integral equations. Numerical results of the scattering fields characteristics are presented. The effects of incidence direction, various material parameters of the strip on the scattering field are discussed and phenomenon of the non-specular reflection of SH waves is considered. The accuracy of the numerical results is confirmed by the use of analytical approximate problem solution of high-frequency SH waves scattering on a finite hard/soft inclusion.
Evolving synergies in applied ocean current measurement

This paper describes the complementary application of in-situ and remote measurement of ocean currents to deliver solutions to the offshore industry. The critical requirement for calibration of satellite altimeter derived geostrophic currents is explained, along with the benefits of putting short term in-situ data into the longer term context. The paper focuses on two proposed drill sites offshore South Africa which can be impacted by the Agulhas Current. Satellite altimeter data provides a good representation of this feature after calibration against site specific deepwater mooring data. Other regions where satellites might capture the key oceanographic processes are considered
Cobalt-Doped Bioactive Glasses for Biomedical Applications: A Review

Improving angiogenesis is the key to the success of most regenerative medicine approaches. However, how and to which extent this may be performed is still a challenge. In this regard, cobalt (Co)-doped bioactive glasses show promise being able to combine the traditional bioactivity of these materials (especially bone-bonding and osteo-stimulatory properties) with the pro-angiogenic effect associated with the release of cobalt. Although the use and local delivery of Co2+ ions into the body have raised some concerns about the possible toxic effects on living cells and tissues, important biological improvements have been highlighted both in vitro and in vivo. This review aims at providing a comprehensive overview of Co-releasing glasses, which find biomedical applications as various products, including micro- and nanoparticles, composites in combination with biocompatible polymers, fibers and porous scaffolds. Therapeutic applications in the field of bone repair, wound healing and cancer treatment are discussed in the light of existing experimental evidence along with the open issues ahead.
On the Structure of Nonnegative Semigroups of Matrices

The results presented here are concerned with questions of decomposability of multiplicative semigroups of matrices with nonnegative entries. Chapter 1 covers some preliminary results which become useful in the remainder of the exposition. Chapters 2 and 3 constitute an exposition of some recent known results on special semigroups. Chapter 2 explores conditions for decomposability of semigroups in terms of conditions derived from linear functionals and in Chapter 3, we give a complete proof of an extension of the celebrated Perron-Frobenius Theorem. No originality is claimed for the results in Chapters 2 and 3. In Chapter 4, we present some new results on sufficient conditions for finiteness of semigroups of matrices.
Modeling and optimization of PV-diesel-biogas hybrid microgrid energy system for sustainability of electricity in Rural Area

The paper presented a hybrid micro-grid renewable energy of different energy sources to generate uninterrupted electricity for the Agu-Amede village using PV, diesel, biogas, and battery. The system optimization was performed to determine techno-economic analysis and energy generated using HOMER software. The energy generated by the hybrid system was able to meet the demand load of the village at all levels of biomass production with surplus electricity in each case when the production of the biogas system varied between 0.5 tons to 3 tons. At biomass production of 3 tons, the total energy generated demand is 480693 kWh with a surplus of 121762 kWh. Again, the hybrid PV and biogas system generate total energy of 98714 kWh (20.50%) and 381979 kWh (79.50%), respectively. The net present cost (NPC) and cost of energy (COE) of the base case architecture (diesel) measured are $1230000 and $0.267/kWh, respectively. Therefore, between 2.5 tons and 3.0 tons of biomass penetration, the energy production of biogas increased, and the diesel system was removed from the hybrid system setup. This is because the availability of biogas is almost sufficient to meet the load demand at a lower cost and solar PV architecture was added to the hybrid system to balance energy production.