Miracle-dz/UniFAR-FTUs huggingface dataset:
Reference gene selection in multiple Passiflora edulis tissues and under cold stress for RT- qPCR analysis

Background: Passiflora edulis is a tropical fruit with high edible and medicinal values that is widely cultivated in southern China. The development of new P. edulis variety with cold resistance and research on the mechanism of cold resistance are the basis for further promoting the cultivation of this species. In a previous study, our laboratory discovered a cold-resistant variety Pingtang 1, which is used as a material for the study of cold resistance mechanism in P. edulis. However, functional genes of P. edulis have not been well studied, especially via relative quantitative analysis. In addition, research on reference genes in P. edulis has not been reported.Results: We used three tools to test the expression stability of 10 candidate reference genes in multiple tissue samples and cold-treated samples of P. edulis. We found that Ts and EF1 showed the highest expression stability in all samples. Further analysis showed that HIS and EF1 were stably expressed in tissue samples, whereas UBQ and EF1 were stably expressed in cold-treated samples. Interestingly, EF1 was stably expressed in not only multiple tissue samples but also cold-treated samples. To validate the selected reference genes, we used the target gene ICE1 and investigated its expression level in cold-treated leaves. Interestingly, the expression of ICE1 increased with increasing cold treatment times.Conclusions: In this study, we successfully selected reference genes from among 10 candidates for P. edulis RT-qPCR data normalization. We selected Ts and EF1 as reference genes for normalization in all samples. HIS and EF1 were ideal for data normalization in tissue samples, whereas UBQ and EF1 were ideal for cold-treated samples. Our work substantially benefits the study of functional genes in P. edulis.
Biomechanical study on the stress distribution of the knee joint after distal femoral fracture malunion with residual varus-valgus deformity 

Background: To investigate the effect of residual varus and valgus deformity on the stress distribution of knee joint after distal femoral fracture malunion. Methods: Fourteen adult cadaver specimens with formalin were selected to establish the femoral fractures models, which were fixed subsequently at neutral position (anatomical reduction) and malunion positions (at 3 degrees, 7 degrees, 10 degrees valgus positions and 3 degrees, 7 degrees, and 10 degrees varus positions). The stress distribution on the medial and lateral plateau of the tibia was quantitatively measured using ultra-low pressure sensitive film technology. The change of stress distribution of knee joint after femoral fracture malunion and the relationship between stress value and residual varus varus or valgus deformity were analyzed.Results: Under 400 N vertical load, the stress values on the medial and lateral plateau of the tibia at the neutral position were 1.162±0.114 MPa and 1.103±0.144 MPa, respectively. When compared with the stress values measured at the neutral position, the stress on the medial plateau of tibia were significantly higher at varus deformities and lower at valgus deformities, and the stress on the lateral plateau was significantly higher at valgus deformity and lower at varus deformities (all P<0.05). The stress values on the medial plateau of tibia were significantly higher than the corresponding data on the lateral plateau at neutral and 3 degrees, 7 degrees, 10 degrees varus deformities, respectively (all P<0.05), and significantly lower than the corresponding data on the lateral plateau at 3 degrees, 7 degrees, 10 degrees valgus deformities, respectively (all P<0.05). Conclusions: Residual varus and valgus deformity after femoral fracture malunion can cause obvious changes of the stress distribution of knee joint. Therefore, the distal femoral fracture should be anatomically reduced and rigidly fixed to avoid residual varus-valgus deformity and malalignment of lower limbs.
Determining Learning Style preferences of learners

The use of Information and Communication Technology (ICT) in education has been rapidly growing in recent years which has converted conventional classrooms teaching environments into online learning (OL) environment. Online learning system is gaining popular and widely accepted in the world due to the current pandemic due to COVID 19. This has created an opportunity to take online classes through several online learning platforms. This research was also done during pandemic. The data were collected from one of the undergraduate courses where there were 108 learners. The objective of the study is to determine the learning style preferences based on the learner’s interactions data. one of the popular and widely used learning style model called Felder Silverman Learning Style Model (FSLSM) was implemented in this study to determine the learning preferences. The learners were classified according to the two dimensions i.e., input and processing of FSLSM. Further, two popular tree-based classifier such as decision tree and random forest were implemented. Decision tree had a better performance in terms of accuracy than random forest. This type of research is very much beneficial to the instructors, learners and researchers and administrators working in the field of online learning.
Co-Production and New Public Governance in Europe: Victor Pestoff (2012, Institute for Civil Society Studies, Stockholm): Innovations in public services: Co-production and new public governance in Europe. Source: Towards Peer Production in Public Services

Peer production is a way to produce goods and services that relies on self-organizing communities of individuals who come together to produce a shared outcome, i.e., the production of content by the general public rather than by paid professionals and experts in the field. In these communities, the efforts of a large number of people are coordinated to create meaningful projects. The information age, especially the Internet, has provided the peer production process with new collaborative possibilities and has become a dominant and important mode of producing information. Free and open source software provides an example of peer production. It occurs in a sociotechnical system which allows thousands of individuals to effectively cooperate to create a non-exclusive outcome. Such collective efforts are informal and without traditional hierarchical organization. However, as in the case of Wikipedia, a large amount, if not most, of this collaborative effort is maintained by a relatively small number of devoted and active individuals. Peer production is often used interchangeably with the term “social production” or even “P2P” production (Wikipedia 2012).
Validation of the Components and Elements of Computational Thinking for Teaching and Learning Programming using the Fuzzy Delphi Method

Computational Thinking is a phrase employed to explain the developing concentration on students' knowledge development regarding designing computational clarifications to problems, algorithmic Thinking, and coding. The difficulty of learning computer programming is a challenge for students and teachers. Students' ability in programming is closely related to their problem-solving skills and their cognitive abilities. Even though computational thinking is a problem-solving skill in the 21st century, its use for programming needs to be planned systematically taken into account the appropriate components and elements. Therefore, this study aims to validate the main components and elements of computational thinking for solving problems in programming. At the beginning of the study, researchers conducted a literature review to determine the components and the elements of computational thinking that could be used in teaching and learning programming. This validation involved the consensus of a group of experts using the Fuzzy Delphi method. The data were analysed using the Fuzzy Delphi technique, where the experts individually evaluated the components and elements agreed upon prior discussion. A group of experts consisting of 15 people validated 14 components and 35 elements. The results showed that all components and elements reached a threshold (d) value of less than 0.2, a percentage of agreement exceeded 75%, and the Fuzzy score (A) exceeded 0.5. The finding indicates that the main components and elements of the proposed computational thinking are suitable for problem-solving approaches in programming.
Mechanisms Controlling Release of Colloids to Groundwater in a Southeastern Coastal Plain Aquifer Sand

The release of colloids from a shallow Southeastern Coastal Plain deposit, in response to treatment with solutions that perturbed electrostatic and cementitious associations among the clay-size constituents, suggested that these constituents are predominantly chemically bound within the interstitial matrix. Sediment-packed columns subjected to a sequence of high/low ionic strength solutions, acidic pH (2.6) solutions, and anionic surfactant solutions yielded undetectable colloid releases. Treatment with elevated pH (8.8) solutions and solutions containing phosphate resulted in mobilization of colloids only partially representative of the bulk matrix. Organic acids, which both (i) initiated dissolution of the amorphous iron oxyhydroxide intermediaries among kaolinite books and (ii) imparted negative charge to the iron oxyhydroxide surfaces to generate sufficiently repulsive forces among the juxtaposed matrix constituents, appeared to induce mobilization of colloids compositionally representative of the ent.
Toxicocinétique et distribution tissulaire du delta-9-tétrahydrocannabinol : étude chez le porc

Cette etude presente un nouveau modele animal, le porc de race Large White, utilise pour mettre en œuvre des experimentations pouvant aider a mieux connaitre la distribution tissulaire du -tetrahydrocannabinol (THC) notamment au niveau du cerveau. Les cinetiques realisees chez le porc apres administration de THC par voie intrajugulaire ont montre une similitude avec l'evolution des concentrations en THC rencontree chez l'homme. La demi-vie terminale d'elimination du THC a ete calculee a 10,6 h ainsi que le volume de distribution a 32 L/kg. Pour etudier la distribution tissulaire des cannabinoides, 8 porcs ont recu 200 g/kg de THC par injection. Deux porcs ont ete sacrifies 30 min apres injection puis 2 autres apres 2, 6 et 24 heures. L'elimination du THC est la plus rapide au niveau du foie, et la plus lente au niveau de la graisse ou les concentrations sont encore importantes 24 heures apres l'injection. L'elimination au niveau du cerveau semble plus lente que dans le sang total. Apres 30 min, au niveau du cerveau la plus forte concentration en THC est retrouvee au sein du cervelet et la plus faible au niveau du bulbe rachidien. Au niveau des autres organes (rein, rate, cœur, muscle et poumon), l'elimination est comparable a celle observee dans le plasma. Cette etude confirme la retention prolongee du THC dans les tissus lipophiles (graisse et cerveau), deja observee chez l'homme. La correlation entre les resultats obtenus et les donnees connues chez l'homme montre que le porc est un bon modele animal en vue d'etudes plus approfondies sur le metabolisme et la distribution des cannabinoides.
Supercritical Fluid Extraction and Micronization of Ginkgo Flavonoids from Ginkgo Biloba Leaves

Ginkgo flavonoids were extracted from Ginkgo biloba leaves using supercritical carbon dioxide extraction technology (SFE) with ethanol as the entrainer. The effects of important process parameters on SFE were examined, and the crude extracts were further refined. At optimized experimental conditions, i.e., 20 MPa of extraction pressure, a 40 °C extraction temperature, a 10 g/min CO2 flow rate, and a 6 mL/min ethanol flow rate, the extraction yield could reach 0.36%. Supercritical fluid assisted atomization introduced by a hydrodynamic cavitation mixer (SAA-HCM) was used to obtain microparticles of Ginkgo flavonoids. The influences of the solute concentration as well as the mass flow ratio of the CO2/liquid solution on particle size (PS) and particle size distribution (PSD) were investigated. Well-defined, spherical, and separated particles with a controlled particle size ranging between 0.2 and 3.0 μm were successfully obtained in this work. The micronization of Ginkgo flavonoids can improve the drug abso.
GaAs tetrahedral quantum dot structures fabricated using selective area metalorganic chemical vapor deposition

New GaAs quantum dot structures, called tetrahedral quantum dots (TQDs), are proposed to make a zero‐dimensional electron‐hole system. The TQDs are surrounded by crystallographic facets fabricated using selective area metalorganic chemical vapor deposition (MOCVD) on (111)B GaAs substrates. The calculated energy sublevel structures of zero‐dimensional electrons in a GaAs TQD show large quantum size effects, because electrons are confined three dimensionally. GaAs and AlGaAs tetrahedral facet structures on (111)B GaAs substrates partially etched into a triangular shape were grown using MOCVD. Tetrahedral growth with {110} facets occurs in the triangular areas. The cathodoluminescence intensity map for GaAs tetrahedrons buried in AlGaAs shows the tetrahedral dot array.
Nitrate Removal and Nitrate Removal Velocity in Coastal Louisiana Freshwater Wetlands

Nitrate removal and nitrate removal velocity rate were determined for Mississippi River deltaic plain forested-tupelo dominated wetland, and a floating emergent freshwater marsh. Nitrate removal rate from floodwater was 19.45 and 48.90 mg N m−2 d−1 for two forested-tupelo wetland sites and 48.41 and 46.98 mg N m−2 d−1 at two floating emergent freshwater marsh sites. The removal velocity constants (k) of NO3-N ranged from 0.44 to 1.44 per day for the four site studies. Removal velocity of nitrate from the water column was faster in the floating emergent marsh cores than from the forested wetland course, which contained more sediment. Results demonstrated that removal velocity is an important parameter when estimating nitrate removal from floodwater. Results also demonstrated the two freshwater wetland habitats had a high capacity for processing any nitrate entering the wetlands from adjacent agriculture area. Removal was attributed to denitrification and diffusion.
Hydrogen Bond Surface Chemistry: Interaction of NH3 with an Ice Particle

The study focuses on interaction of a “strong” adsorbate with an ice surface. Ammonia adsorption on an ice cluster (H2O)293 is investigated by Monte Carlo simulations, as a function of coverage at T = 110 K. At low coverages, ammonia is attached to dangling H-atoms on the surface, while forming additional weaker bonds with neighboring dangling O. At high coverages insertion is observed of the NH3 molecules into the surface. The process is driven by the ability of NH3 molecules to cleave strained H2O···H2O hydrogen bonds in the ice surface, and to form strong N···HO bonds with the water molecules.
Goodness-of-Fit Test for Mismatched Self-Exciting Processes

Recently there have been many research efforts in developing generative models for selfexciting point processes, partly due to their broad applicability for real-world applications. However, rarely can we quantify how well the generative model captures the nature or ground-truth since it is usually unknown. The challenge typically lies in the fact that the generative models typically provide, at most, good approximations to the groundtruth (e.g., through the rich representative power of neural networks), but they cannot be precisely the ground-truth. We thus cannot use the classic goodness-of-fit (GOF) test framework to evaluate their performance. In this paper, we develop a GOF test for generative models of self-exciting processes by making a new connection to this problem with the classical statistical theory of Quasi-maximumlikelihood estimator (QMLE). We present a non-parametric self-normalizing statistic for the GOF test: the Generalized Score (GS) statistics, and explicitly capture the model misspecification when establishing the asymptotic distribution of the GS statistic. Numerical simulation and real-data experiments validate our theory and demonstrate the proposed GS test’s good performance.
Mechanically robust biocomposite films of chitosan grafted carbon nanotubes via the [2 + 1] cycloaddition of nitrenes

Chitosan functionalized multiwalled carbon nanotubes (CS-MWCNTs) are prepared using the [2 + 1] cycloaddition of nitrenes to the π electron system of carbon nanotubes followed by an amidation reaction with chitosan. The analysis of transmission electron microscopy (TEM) micrographs suggests the presence of more than 14 nm of chitosan grafted onto the MWCNTs, and the covalent linkage of chitosan with the MWCNTs is confirmed from FTIR and Raman spectra, XPS and energy dispersive X-ray spectroscopy (EDS) elemental mapping. The grafting density calculated using thermogravimetric analysis was 1.8 chitosan chains per 1000 MWCNT carbons. The effectiveness of the biofunctionalized CS-MWCNTs as a reinforcing filler (3 wt%) in a chitosan polymer matrix was verified by the dramatic enhancement of the mechanical properties (the tensile strength of the composite is significantly increased to 81.3 MPa from 36.5 MPa for pure chitosan, the highest modulus was up to 4.4 GPa for the composite with 3 wt% CS-MWCNTs) with a high elongation-at-break. The interfacial bonding between the CS-MWCNTs and the chitosan matrix plays a crucial role in the enhancement of the physical performance of the MWCNT-based composites.
Simulation of electron density maps for two-dimensional crystal structures using Mathematica

The simulations presented here are based on the program Mathematica as a tool to present electron density maps of two-dimensional crystal structures. The models give further insights into the relationship between the thermal displacement parameters and the quality of the electron density maps. Furthermore, users can readily test the effects of several crystallographic parameters on the electron density maps, such as, the number of reflections, the thermal displacement parameters and the unit-cell dimensions.
Cross-linked poly(dimethylaminoethyl acrylamide) coated magnetic nanoparticles: a high loaded, retrievable, and stable basic catalyst for the synthesis of benzopyranes in water

A novel heterogeneous catalyst has been synthesized based on the distillation–precipitation–polymerization of methyl acrylate onto modified magnetic nanoparticles followed by the amidation of the methyl ester groups using N,N-dimethylethylenediamine. The resulting poly(dimethylaminoethyl acrylamide) coated magnetic nanoparticles (MNP@PDMA) catalyst was characterized using an array of sophisticated analytical techniques, including FT-IR, TGA, SEM, TEM, CHN, vibrating sample magnetometer (VSM), and XRD analysis. The resulting heterogeneous base catalyst allowed the performance of a domino Knoevenagel condensation/Michael addition/cycloaddition reaction toward the synthesis of 4H-benzo[b]pyranes in excellent yields using water as the reaction medium. The multilayered and polymeric identity of the coated material on the surface of the magnetic nanoparticles provides many catalytic units resulting in the high loading level and high stability of the catalyst. Straightforward magnetic separation and recycling of the catalyst for up to 5 runs is possible without any significant loss of efficiency.
Novel sources of correlated DD for c/b physics and tests of T/CPT

Decays of charmonia(-like) particles with definite JPC (e.g. χc1(3872)), to a D0D0 system and any combination of C-definite decay particles, are sources of quantumcorrelated D0D0 systems with C = P = ±1. Several b-hadron decays also produce D0D0 systems, which may be quantum-correlated or isolated in a C = ±1 component. Methods to separate the C = ±1 D0D0 components from χc1(3872) decay samples are presented. Studying T and CPT conservation in C = +1 D0D0 systems allows a final state reconstructibility advantage. Several production mechanisms offering opportunities to collect C = ±1 D0D0 systems are described. ArXiv ePrint: 2102.07729 ar X iv :2 10 2. 07 72 9v 2 [ he pph ] 2 8 Se p 20 21
REST: Relational Event-driven Stock Trend Forecasting

Stock trend forecasting, aiming at predicting the stock future trends, is crucial for investors to seek maximized profits from the stock market. Many event-driven methods utilized the events extracted from news, social media, and discussion board to forecast the stock trend in recent years. However, existing event-driven methods have two main shortcomings: 1) overlooking the influence of event information differentiated by the stock-dependent properties; 2) neglecting the effect of event information from other related stocks. In this paper, we propose a relational event-driven stock trend forecasting (REST) framework, which can address the shortcoming of existing methods. To remedy the first shortcoming, we propose to model the stock context and learn the effect of event information on the stocks under different contexts. To address the second shortcoming, we construct a stock graph and design a new propagation layer to propagate the effect of event information from related stocks. The experimental studies on the real-world data demonstrate the efficiency of our REST framework. The results of investment simulation show that our framework can achieve a higher return of investment than baselines.
Interactive quantum advantage with noisy, shallow Clifford circuits

Recent work by Bravyi et al. constructs a relation problem that a noisy constant-depth quantum circuit (QNC$^0$) can solve with near certainty (probability $1 - o(1)$), but that any bounded fan-in constant-depth classical circuit (NC$^0$) fails with some constant probability. We show that this robustness to noise can be achieved in the other low-depth quantum/classical circuit separations in this area. In particular, we show a general strategy for adding noise tolerance to the interactive protocols of Grier and Schaeffer. As a consequence, we obtain an unconditional separation between noisy QNC$^0$ circuits and AC$^0[p]$ circuits for all primes $p \geq 2$, and a conditional separation between noisy QNC$^0$ circuits and log-space classical machines under a plausible complexity-theoretic conjecture. A key component of this reduction is showing average-case hardness for the classical simulation tasks -- that is, showing that a classical simulation of the quantum interactive task is still powerful even if it is allowed to err with constant probability over a uniformly random input. We show that is true even for quantum tasks which are $\oplus$L-hard to simulate. To do this, we borrow techniques from randomized encodings used in cryptography.
Vehicle to Vehicle (V2V) Communication Protocol: Components, Benefits, Challenges, Safety and Machine Learning Applications

Vehicle to vehicle communication is a new technology that enables vehicles on roads to communicate with each other to reduce traffic, accidents and ensure the safety of people. The main objective of vehicle-to-vehicle communication protocol is to create an effective communication system for intelligent transport systems. The advancement in technology made vehicle industries to develop automatic vehicles that can share real-time information and protect each other from accidents. This research paper gives an explanation about the vehicle-to-vehicle communication process, benefits, and the challenges in enabling vehicle-to-vehicle communication as well as safety and machine learning applications.