Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of Intelligent Financial Investment Risk Prediction System Based on Edge Computing

With the continuous development of economy and society, the financial market has ushered in its own peak, which has pushed the financial industry as a whole into a new stage. In this environment, the financial investment activities of the public and enterprises have greatly increased and have an important role and impact on the optimal allocation of market funds. Due to the coexistence of risks and interests, the financial investment market will be impacted by high-risk events, which will lead to instability of order and certain economic losses. The operation risk of an enterprise is a huge challenge for its own development. A little carelessness may lead to a sharp decline in the status of the enterprise. Therefore, it is necessary to strengthen financial investment control and risk prediction, which has important practical significance for the benign development of enterprises, improving market competitiveness, and reducing negative impacts. Therefore, this paper adopts the concept of edge computing, and based on the R&D and operation experience of relevant venture capital systems, develops an intelligent system that can predict various risks in the whole process of financial investment. Firstly, the mobile edge computing framework is introduced, followed by the computing advantages. Then, the system architecture is designed around the edge computing, such as designing specific algorithms, so as to complete the overall design of the intelligent financial investment risk prediction system. Then, the results are systematically analyzed through experiments, which show that the system can well predict the financial investment risk. Finally, the strategy of optimizing the intelligent financial risk prediction system is proposed.
A Proposed Experimental Test of Quantum Theory using the Techniques of Atom Optics

It may be possible to empirically discriminate between the predictions of Orthodox Quantum Theory and the deBroglie-Bohm Theory of Quantum Mechanics. An experiment using the measurement methods of Atom Optics is suggested in which an atom trap having evanescent light mirrors in front of each of its walls is used to determine whether trapped atoms are in motion inside the trap. An absence of detected motion would be contrary to the prediction of Orthodox Quantum Theory and would support the deBroglie-Bohm Theory.
The Impact of Innovative Plant Sources (Cordia myxa L. Fruit (Assyrian Plum) and Phoenix dactylifera L. Biowaste (Date Pit)) on the Physicochemical, Microstructural, Nutritional, and Sensorial Properties of Gluten-Free Biscuits

The gluten-free products available on the markets are deficient in bioactive compounds and high in cost. The present study is designed to develop gluten-free biscuits with enhanced nutritional properties. The gluten-free biscuits are formulated with rice flour (RF) incorporated with Assyrian plum fruit flour (APF) and bio-waste date-pit flour (DPF) according to the following ratios; RF:DPF:APF (100:0:0)/T0, (90:5:5)/T1, (80:10:10)/T2, and (70:15:15)/T3. The results demonstrate that flour blends with different concentrations of APF and DPF incorporated in RF have high contents of protein, damaged starch, crude fiber, ash, phytochemicals, and antioxidants in contrast to 100% RF, which shows the lowest values for all these parameters. The pasting properties of the flour blends reveals that the values of peak, final, breakdown, and setback viscosities reduce from T1 to T3. Similarly, a differential scanning calorimeter reveals that the phase transition temperature of the flour blends decreases with the increasing amylose content. Moreover, the scanning electron microscopy of the biscuit samples shows a positive contribution of APF and DPF for the development of the desired compactness of the structure due to the leaching of amylose content from the starch. The total phenol content (TPC) and total flavonoid content (TFC) increase from 38.43 to 132.20 mg GAE/100 g DW and 18.67 to 87.27 mg CE/100 g DW, respectively. Similarly, the antioxidant activities of biscuits improved. The protein and fiber contents of the biscuits increased from 10.20 to 14.73% and 0.69 to 12.25%, respectively. The biscuits prepared from T3 resulted in a firmer texture with a reduced spread ratio. However, the formulation of T1 and T2 biscuit samples contributed to desirable physical and sensory properties. Therefore, the addition of DPF and APF to RF is a sustainable way to make gluten-free biscuits as they provide adequate amylose, damaged starch, and fiber content to overcome the essential role of gluten in the baked product with nutraceutical properties.
Long-Term Traffic Speed Prediction Based on Multiscale Spatio-Temporal Feature Learning Network

Speed plays a significant role in evaluating the evolution of traffic status, and predicting speed is one of the fundamental tasks for the intelligent transportation system. There exists a large number of works on speed forecast; however, the problem of long-term prediction for the next day is still not well addressed. In this paper, we propose a multiscale spatio-temporal feature learning network (MSTFLN) as the model to handle the challenging task of long-term traffic speed prediction for elevated highways. Raw traffic speed data collected from loop detectors every 5 min are transformed into spatial–temporal matrices; each matrix represents the one-day speed information, rows of the matrix indicate the numbers of loop detectors, and time intervals are denoted by columns. To predict the traffic speed of a certain day, nine speed matrices of three historical days with three different time scales are served as the input of MSTFLN. The proposed MSTFLN model consists of convolutional long short-term memories and convolutional neural networks. Experiments are evaluated using the data of three main elevated highways in Shanghai, China. The presented results demonstrate that our approach outperforms the state-of-the-art work and it can effectively predict the long-term speed information.
Postoperative meningocele after anterior cervical discectomy and arthroplasty on a case report

Anterior dural tears complicated by cerebrospinal fluid (CSF) leakage with anterior meningocele are rare. Indeed, in the literature, cases are described during anterior arthrodesis, but no cases of post-cervical arthroplasty are described. The management of this type of complication is poorly described and not consensual. We present a case of a patient who underwent cervical arthroplasty complicated by an anterior meningocele at 1 month after the first surgery. Imaging revealed a compressive anterior meningocele in relation to the clinically progressive worsening. Revision surgery consisted of a combination of closure of the gap with a fatty patch covered with a TachoSil patch, followed by reinsertion of a new cervical prosthesis. At the last follow-up at 1 year, the patient showed no residual effects of the complication, and the mobility of the disc prosthesis was not impaired by it. Clinical results of the arthroplasty are also very satisfactory. Although these types of complications are rare, it is important to have a consensus on the management of anterior meningocele. In our experience, TachoSil appears to be a satisfactory option for the management of these complications.
Synthesis and characterization of methacrylic acid based amphoteric hydrogels: use as a dual drug delivery system

Abstract In this study, methacrylic acid-based containing both anionic and cationic groups in its structure p(Methacrylic acid-co-(3-acrylamidopropyl)trimethylammonium chloride) (p(MAA-co-APTMACl)) and p(Methacrylic acid-co-(2-(acryloyloxy)ethyl)trimethylammonium chloride) (p(MAA-AETAC)) hydrogels were synthesized by redox polymerization technique. The morphology, chemical structure and thermal properties of the synthesized hydrogels were characterized by SEM, FT-IR, and TGA. The swelling characterizations of the synthesized MAA-based hydrogels were carried out in various biological environments. Usability of amphoteric hydrogels containing anionic and cationic groups in their structures as a drug carrier cargo material were investigated for the treatment of two different diseases. For this, two of the selected model drugs were loaded simultaneously on hydrogels and their release properties were examined. The drug release mechanisms were investigated according to the Korsmeyer–Peppas model. Rhodamin 6G and ceftriaxone sodium were loaded to p(MAA-co-APTMACl) hydrogel for dual drug release. In addition, Rhodamin 6G and sulfadiazine were loaded simultaneously on the p(MAA-co-AETAC) hydrogel. According to the release mechanism results obtained for p(MAA-co-AETAC) hydrogels, it was determined that it showed a super-state diffusion mechanism. In addition, antibacterial activities of p(MAA-co-APTMACl) and p(MAA-co-AETAC) hydrogels against gram-negative bacteria (Escherichia coli and Pseudomonas Aeruginosa) and gram-positive bacteria (Staphylococcus Aureus and Bacillus Subtilis) were investigated. Graphical Abstract
Hematological Changes in Sika Doe and Suckling Fawn Fed with Spent Mushroom Substrate of Pleurotus ostreatus

Simple Summary Sika deer velvet antler is a highly valued nutraceutic in traditional Chinese medicine with extremely high market value. Therefore, it is very important to find low-priced feed and reduce the feeding cost of sika deer to improve profitability. Mushrooms can be grown on agricultural wastes such as straw, cottonseed hull, and corn stalks, but with the process of cultivating mushrooms, spent mushroom substrate (SMS) has also been produced. Improper handling of SMS could still cause environmental pollution. The results show that SMS of Pleurotus ostreatus (SMS-MP) can be digested by sika doe and has no adverse effect on suckling fawn. At the same time, SMS-MP reduces the feeding cost of sika doe and avoids the pollution caused by SMS-MP to the environment. Abstract Sika deer velvet antler is the most important animal nutraceutic in traditional Chinese medicine. Reducing the breeding cost of sika deer by looking for a low-cost diet is the main research direction at present. The purpose of this experiment was to find an alternative diet for sika deer and reduce the cost of the diet by using spent mushroom substrate (SMS) as a concentrate supplement. The apparent digestibility for sika doe and the hematological changes of sika doe and suckling fawn were measured by replacing 10% of the concentrate supplement with SMS of Pleurotus ostreatus (SMS-MP). Compared with the control group, the digestibility of dry matter (DM), total protein (TP), globulin (GLO), and cholesterol (CHOL) of sika doe were significantly decreased (p < 0.05), and glucose (GLU), alanine (Ala), phenylalanine (Phe), and proline (Pro) of sika doe were significantly increased (p < 0.05) after the replacement of SMS-MP. Compared with the control group, the serum GLU of suckling fawn was significantly decreased (p < 0.05) and the phosphatase (ALP) was significantly increased after the replacement of SMS-MP (p < 0.05). There were no significant differences in the immune globulin and amino acid of suckling fawns between the two groups (p > 0.05). The present findings confirm the applicability of SMS-MP as a sika doe concentrate supplement. At the same time, using SMS, a waste resource, can not only reduce the breeding cost of sika doe, but also make full use of SMS to reduce environmental pollution.
Queue Estimation in a Connected Vehicle Environment: A Convex Approach

This paper proposes a convex optimization based algorithm for queue profile estimation in a connected vehicle environment, which can also be used for trajectory reconstruction, delay evaluation, etc. This algorithm generalizes the widely-adopted assumption of a linear back of queue (BoQ) curve to a piecewise linear BoQ curve to consider more practical scenarios. The piecewise linear BoQ curve is estimated via a convex optimization model, ensuring efficient computation. Moreover, this paper explicitly handles cases with low penetration rates and low sampling rates, as well as measurement noises. In addition, the proposed methodology is extended to an urban arterial, reusing the estimated departure information from the upstream intersections to further improve the estimation accuracy. Finally, two online implementation approaches are presented to perform real-time queue estimation. The proposed methodology is tested with two datasets: the Lankershim data set in the NGSIM project and the simulated dataset of Wehntalerstrasse, Zürich, Switzerland. Results show that the error is less than 1.5 cars in undersaturated scenarios and 5.2 cars in oversaturated scenarios if the penetration rates are larger than 0.1 and sampling rates are higher than 0.05 s−1. It is demonstrated that by considering a piecewise linear BoQ curve, the estimation accuracy can be improved by up to 16%. Incorporating flow successfully can also reduce the estimation error by up to 16%. Results further show that the proposed methodology is robust to measurement errors. It is finally shown that the proposed framework can be solved within a reasonable time (0.8 s), which is sufficient for most real-time applications.
Parametric Design of a Class of Full-Band Waveguide Differential Phase Shifters

Differential phase shifters are common circuits in communication systems where a fixed phase difference between two points within the circuit is required. Among the available technologies, waveguide phase shifters are preferred for applications such as antenna feed or beam-forming networks. Typical designs in the literature are devoted to specific phase delays such as 90° or 180°, but any phase shift might be required, and therefore a design procedure resulting in mechanically-related parameter fitting equations for any arbitrary phase difference would be advantageous. This paper presents a parametric design of full-band (40% relative bandwidth) waveguide differential phase shifters, providing polynomial equations for all design parameters in order to obtain arbitrary phase shifts between standard rectangular waveguides with equal physical lengths. The phase shift is achieved through the use of a multi-step ridge section together with a single width-step in the shift line. The proposed design procedure results in differential phase shifters with 25 dB of return loss and minimal physical length for any phase shift between 0° and 180°. To validate this parametric design process, two exemplary differential phase shifters with 30° and 140° phase shifts were measured, showing very good agreement with the simulated results.
KAMPUNG LITERASI KATEGORI PRATAMA RW I KELURAHAN GUBENG - KECAMATAN GUBENG SURABAYA

The As an embodiment of one of Tridharma University, which is community service, School of Economic of Indonesia (STIESIA) Surabaya assigned both lectures and Students to assist as companion in making portofolio of Kampung Pendidikan – Kampunge Arek Suroboyo or commonly abbreviated as KP-KAS at RW 01 Kelurahan Gubeng, Kecamatan Gubeng Surabaya. This companion aimed to guide, search and collect existed potency of kampung in order to be able to arrange portofolio of KP-KAS which was represented by RT 9 and RT 10 for Pratama category. While programs and mechanism of the category were conssist of Kampung Belajar, Kampung Sehat, Kampung Asuh, Kampung Aman and Kampung Kreatif. More over the result of the companion concluded team of RT 9 and RT 10 RW 01 Kelurahan Gubeng, Kecamatan Gubeng Surabaya had succeeded in exploring their potencial and advantages and successfully compiled the 2019 KP-KAS Portfolio Report which was submitted to Dinas Pengendalian Penduduk, Pemberdayaan Perempuan dan Perlindungan Anak or DP5A on time
Assessing manufacturing strategy definitions utilising text-mining

The variations in Manufacturing Strategy (MS) definitions create confusion and lead to lack of shared understanding between academic researchers and practitioners on its scope. The purpose of this study is to provide an empirical analysis of the paradox in the difference between academic and industry definitions of MS. Natural Language Processing (NLP) based text mining is used to extract primary elements from the various academic, and industry definitions of MS. Co-word and Principal Component Analysis (PCA) provide empirical support for the grouping into nine primary elements. We posit from the terms evolution analysis that there is a stasis currently faced in academic literature towards MS definition while the industry with its emphasis on ‘context’ has been dynamic. We believe that the proposed approach and results of the present empirical analysis can contribute to overcoming the current challenges to MS design and deployment – imprecise definition leading to its inadequate operationalisation.
HiSIM-SOTB: A Compact Model for SOI-MOSFET with Ultra-Thin Si-Layer and BOX

The SOI-MOSFET has three surfaces, for which electrostatic potential values are very much dependent on applied bias conditions. HiSIM-SOTB has been developed by solving the Poisson equation iteratively to calculate the surface potentails accurately for any bias conditions. It has been verified that the model can indeed reflect structural size variations over a very large range. The model includes all possible charges induced at the three oxide surfaces in the SOI structure. The approach with simultaneous inclusion of the three surface charges can easily make the circuit simulation unstable. To overcome such stability problems we have developed a sophisticated method for reliably solving the Poisson equation. We address the development of solutions to the outlined challenges in our report.
Topics in infeasible-interior-point methods

This thesis focuses on infeasible-interior-point methods (IIPMs), a class of efficient algorithms for several important optimization problems including linear and semidefinite programming. The first two chapters deal with the theoretical aspects of convergence of IIPMs on self-scaled cones (or symmetric cones) which include the nonnegative orthant and the positive semidefinite cone as special cases. The third chapter deals with linear programming and modifications to IIPMs that allow unequal step sizes to be taken in the primal and the dual. In the first chapter, results on global and polynomial-time convergence of IIPMs for self-scaled conic programming are presented. Global convergence is established for a wide neighborhood of the central path. Then a polynomial complexity result is shown for the algorithm using a slightly narrower neighborhood. Both neighborhoods are related to the wide (minus infinity) neighborhood and are much larger than the 2-norm neighborhood. We also provide stopping rules giving an indication of infeasibility. In the second chapter, we establish polynomial-time convergence of IIPMs for conic programs over symmetric cones using the wide (minus infinity) neighborhood of the central path. The convergence is shown for a commutative family of search directions used in Schmieta and Alizadeh [25]. This extends the results in the first chapter, as the family of directions includes the NT direction considered there. In the third chapter, we present computational modifications to implementations of IIPMs by Lustig et al. [10]. This is done to improve the feasibility of the dual (or the primal) when the primal (or the dual) is infeasible. Under certain technical conditions, the feasibility of the dual (or the primal) can be used effectively to find indicators of infeasibility for the primal (or the dual). The computational results for the modifications are encouraging, but also show the need for better termination criteria tailored to the specific form of the modifications.
Benefits of Intra-Aortic Balloon Pump Support in Patients with Postcardiotomy Shock Requiring Venoarterial Extracorporeal Membrane Oxygenation

Background: The benefit of the combined use of an intra-aortic balloon pump (IABP) and venoarterial extracorporeal membrane oxygenation (VA-ECMO) for postcardiotomy shock remains unclear. We aimed to analyse the potential benefits and safety of combining these two devices. Methods: We enrolled 200 patients treated with either VA-ECMO only or in combination with IABP (ECMO-I group) between January 2012 and January 2021. To adjust the patients’ backgrounds, we used propensity score matching for additional analyses, resulting in 57 pairs. The primary endpoint was 30-day survival. Secondary endpoints included successful weaning and complication rates. We also analysed hemodynamic parameters in both groups. Results: After propensity score matching, 30-day survival was better in the ECMO-I group (log-rank p = 0.004). The ECMO-I and ECMO-only groups differed regarding the secondary endpoints, including successful weaning (50.9% and 26.3%, respectively; p = 0.012) and the need for continuous renal replacement therapy (28.1% and 50.9%, p = 0.021). Complication rates were not statistically different between the two groups. Conclusion: Compared to VA-ECMO alone, the combined use of VA-ECMO and IABP is beneficial regarding 30-day survival in selected patients with postcardiotomy shock; successful ECMO weaning and freedom from renal replacement therapy is more common in patients supported with VA-ECMO plus IABP.
Strong (π ,0 ) spin fluctuations in β -FeSe observed by neutron spectroscopy

We have performed powder inelastic neutron scattering measurements on the unconventional superconductor $\beta$-FeSe ($T_{\rm c} \simeq 8\,\mathrm{K}$). The spectra reveal highly dispersive paramagnetic fluctuations emerging from the square-lattice wave vector $(\pi,0)$ extending beyond 80 meV in energy. Measurements as a function of temperature at an energy of $\sim 13\,\mathrm{meV}$ did not show any variation from $T_{\rm c}$ to $104\,\mathrm{K}$. The results show that FeSe is close to an instability towards $(\pi,0)$ antiferromagnetism characteristic of the parent phases of the high-$T_{\rm c}$ iron arsenide superconductors, and that the iron paramagnetic moment is neither affected by the orthorhombic-to-tetragonal structural transition at $T_{\rm s} \simeq 90\,\mathrm{K}$ nor does it undergo a change in spin state over the temperature range studied.
Change of Rice Paddy and Its Impact on Human Well-Being from the Perspective of Land Surface Temperature in the Northeastern Sanjiang Plain of China

Large-scale and high-speed paddy land expansion has appeared in Northeast China since the 21st century, causing the change in land surface temperature. The lack of continuous investigation limits the exploration of discoveries in this region. To address this limitation, a collaborative approach that combined human–computer interaction technology, gravity center model and spatial analysis was established. It provided some new findings in spatiotemporal evolution, migration trajectory and surface cooling effect of the paddy field in Northeastern Sanjiang Plain, a center of paddy field planting in China. The results show that: (1) A sustained paddy expansion was monitored, with a total area ranging from 2564.58 km2 to 11430.94 km2, along with a rate of growth of 345.72% from 2000 to 2020. Correspondingly, its reclamation rate changed to 47.53% from 10.66%, showing the improved planting level of the paddy field. (2) Gravity center of paddy field continued to be revealed northward with a 5-year interval from 2000 to 2020. Migration distance of the straight line reached 23.94 km2, with the direction offset of 27.20° from east to north. (3) Throughout the growing season of crops, the land surface temperature of paddy field was 27.73°, 29.38°, 27.01°, 25.62° and 22.97° from May to October; and the cooling temperature effect of paddy field was investigated, with the reduced values of 0.61°, 0.79° and 1.10° in the low-, medium- and high-paddy field density regions from 2000 to 2020, respectively. Overall, these new findings in the cold temperate zone, high latitude region of the Northern Hemisphere, provided the reference for the investigation of paddy field monitoring and its environmental effects in China and other regions.