Miracle-dz/UniFAR-FTUs huggingface dataset:
Validation of The Purpose in Life Scale-Short Form in an Ecuadorian Sample: factor analysis, reliability and graded response model

Introduction: The purpose in life is analyzed within psychological well-being, it deals with the meaning of life that people have, which has implications in areas such as mental health. Currently, precise instrumentation is required for its assessment of the Ecuadorian population, which at the moment is limited. Objective: To corroborate the unidimensional structure of the Purpose in Life Scale-Short version (PIL-SF), the equivalence of measurement according to gender, the reliability and the parameters of discrimination and difficulty in a sample of Ecuadorian adults. Methods: Instrumental study of the PIL-SF under the precepts of Classical Test Theory and Item Response Theory. Participants: 743 Ecuadorian adults (64.2% women and 45.8% men) aged 18 to 73 years (M = 24.7, SD = 7.9). Results: The unifactorial structure of the PIL-SF with adequate adjustment was confirmed. In addition, the PIL-SF is invariant at the strong level based on gender and no differences are presented at the level of latent means. The internal consistency reliability is acceptable per group and the discrimination and item difficulty parameters are adequate. Conclusion: The PIL-SF is a valid, reliable, and accurate tool to measure the Purpose in Life construct in Ecuadorian adults.
ZSCAN4 Regulates Zygotic Genome Activation and Telomere Elongation in Porcine Parthenogenetic Embryos

Zinc finger and SCAN domain-containing 4 (ZSCAN4), a DNA-binding protein, maintains telomere length and plays a key role in critical aspects of mouse embryonic stem cells, including maintaining genomic stability and defying cellular senescence. However, the effect of ZSCAN4 in porcine parthenogenetic embryos remains unclear. To investigate the function of ZSCAN4 and the underlying mechanism in porcine embryo development, ZSCAN4 was knocked down via dsRNA injection in the one-cell stage. ZSCAN4 was highly expressed in the four- and five- to eight-cell stages in porcine embryos. The percentage of four-cell stage embryos, five- to eight-cell stage embryos, and blastocysts was lower in the ZSCAN4 knockdown group than in the control group. Notably, depletion of ZSCAN4 induced the protein expression of DNMT1 and 5-Methylcytosine (5mC, a methylated form of the DNA base cytosine) in the four-cell stage. The H3K27ac level and ZGA genes expression decreased following ZSCAN4 knockdown. Furthermore, ZSCAN4 knockdown led to DNA damage and shortened telomere compared with the control. Additionally, DNMT1-dsRNA was injected to reduce DNA hypermethylation in ZSCAN4 knockdown embryos. DNMT1 knockdown rescued telomere shortening and developmental defects caused by ZSCAN4 knockdown. In conclusion, ZSCAN4 is involved in the regulation of transcriptional activity and is essential for maintaining telomere length by regulating DNMT1 expression in porcine ZGA.
A 34.7 µW Speech Keyword Spotting IC Based on Subband Energy Feature Extraction

In the era of the Internet of Things (IoT), voice control has enhanced human–machine interaction and the accuracy of keyword spotting (KWS) algorithms has reached 97%; however, the high power consumption of KWS algorithms caused by their huge computing and storage requirements has limited their application in Artificial Intelligence of Things (AIoT) devices. In this study, voice features are extracted by utilizing the fast discrete cosine transform (FDCT) for frequency-domain transformation and to shorten the process of calculating the logarithmic spectrum and cepstrum. The designed KWS system is a two-stage wake-up system, with a sound detection (SD) awakening KWS. The inference process of the KWS network is achieved using time-division computation, reducing the KWS clock to an ultra-low frequency of 24 kHz.At the same time, the implementation of a depthwise separable convolution neural network (DSCNN) greatly reduces the parameter quantity and computation. Under the GSMC 0.11 µm technology, post-layout simulation results show that the total synthesized area of the entire system circuit is 0.58 mm2, the power consumption is 34.7 µW, and the F1-score of the KWS is 0.89 with 10 dB noise, which makes it suitable as a KWS system in AIoT devices.
The Role of ADAMTS Proteoglycanases in Thoracic Aortic Disease

Thoracic aortic aneurysm and dissection (TAAD) are complex disease states with high morbidity and mortality that pose significant challenges to early diagnosis. Patients with an aneurysm are asymptomatic and typically present to the emergency department only after the development of a dissection. The extracellular matrix (ECM) plays a crucial role in regulating the aortic structure and function. The histopathologic hallmark termed medial degeneration is characterised by smooth muscle cell (SMC) loss, the degradation of elastic and collagen fibres and proteoglycan (PG) accumulation. Covalently attached to the protein core of PGs are a number of glycosaminoglycan chains, negatively charged molecules that provide flexibility, compressibility, and viscoelasticity to the aorta. PG pooling in the media can produce discontinuities in the aortic wall leading to increased local stress. The accumulation of PGs is likely due to an imbalance between their synthesis by SMCs and decreased proteolysis by A Disintegrin-like and Metalloproteinase with Thrombospondin motifs (ADAMTS) proteoglycanases in the ECM. Mouse models of TAAD indicated that these proteases exert a crucial, albeit complex and not fully elucidated, role in this disease. This has led to a mounting interest in utilising ADAMTS proteoglycanases as biomarkers of TAAD. In this review, we discuss the role of ADAMTSs in thoracic aortic disease and their potential use in facilitating the clinical diagnosis of TAAD and disease progression.
Role of North Atlantic Tripole SST in Mid‐Winter Reversal of NAO

North Atlantic Oscillation (NAO) has a significant impact on surrounding winter weather and climate. However, the causes of its occasional reversal between early and late winter remain unclear. This study proposes a mechanism for the mid‐winter reversal of NAO from the perspective of local midlatitude air‐sea interaction. Strong sea surface temperature (SST) tripole events, which are defined by empirical orthogonal function of winter‐mean interannual North Atlantic SST anomalies, are primarily induced by NAO in early winter and peak in January. In late winter, the persistent SST tripole exerts active feedback on atmosphere through diabatic heat and transient eddy forcing. The resulting atmospheric circulation anomalies exhibit an almost reversed NAO pattern in February, which forms a wavetrain originating above the Gulf Stream and propagating to the Middle East and weakens the former SST tripole. Consequently, significant reversals of air temperature anomalies occur in Europe and the Caspian Sea area between February and December.
A new proximal chebychev center cutting plane algorithm for nonsmooth optimization and its convergence

Motivated by the proximal-like bundle method [K. C. Kiwiel, Journal of Optimization Theory and Applications, 104(3) (2000), 589-603. ], we establish a new proximal Chebychev center cutting plane algorithm for a type of nonsmooth optimization problems. At each step of the algorithm, a new optimality measure is investigated instead of the classical optimality measure. The convergence analysis shows that an \begin{document}$\varepsilon$\end{document} -optimal solution can be obtained within \begin{document}$O(1/\varepsilon^3)$\end{document} iterations. The numerical result is presented to show the validity of the conclusion and it shows that the method is competitive to the classical proximal-like bundle method.
The Curvilinear Empathy–Secondary Traumatic Stress Relationship: The More Empathy, the Better?

Abstract Empathy refers to understanding other people’s feelings and seeing things from their point of view. In healthcare, it bridges the self and the other, which is crucial for an effective therapeutic relationship. Nevertheless, previous studies on the relationship between empathy and mental health have found contradictory results. This may be because they captured different aspects of a curvilinear relationship between empathy and mental health indicators (e.g., secondary traumatic stress (STS)). The present study explored the existence of a complex (curvilinear or nonlinear) relationship between empathy and STS among emergency medicine (EM) physicians. It also aimed to examine the moderating role of empathy in posttraumatic growth (PTG)–STS and burnout–STS relationships. A total of 120 EM physicians working in Turkey were reached through an online survey. Of the participants, 60 (50.0%) were female, and 66 (55.0%) had ten years or less of professional experience. The mean age was 35.10 (6.20) years. The findings here illustrate a curvilinear relationship between empathy and STS. While moderate empathy was optimal and related to less STS, empathy moderated the PTG–STS and burnout–STS relationships. Thus, moderate empathy seems beneficial for physicians. Moreover, mindfulness-based interventions and self-care promotion can help to prevent empathy-based stress at work. Future research should investigate the complex and dynamic relationship between empathy and STS over time and in diverse samples.
Proteomics Studies Suggest That Nitric Oxide Donor Furoxans Inhibit In Vitro Vascular Smooth Muscle Cell Proliferation by Nitric Oxide-Independent Mechanisms

Physiologically, smooth muscle cells (SMC) and nitric oxide (NO) produced by endothelial cells strictly cooperate to maintain vasal homeostasis. In atherosclerosis, where this equilibrium is altered, molecules providing exogenous NO and able to inhibit SMC proliferation may represent valuable antiatherosclerotic agents. Searching for dual antiproliferative and NO-donor molecules, we found that furoxans significantly decreased SMC proliferation in vitro, albeit with different potencies. We therefore assessed whether this property is dependent on their thiol-induced ring opening. Indeed, while furazans (analogues unable to release NO) are not effective, furoxans’ inhibitory potency parallels with the electron-attractor capacity of the group in 3 of the ring, making this effect tunable. To demonstrate whether their specific block on G1-S phase could be NO-dependent, we supplemented SMCs with furoxans and inhibitors of GMP- and/or of the polyamine pathway, which regulate NO-induced SMC proliferation, but they failed in preventing the antiproliferative effect. To find the real mechanism of this property, our proteomics studies revealed that eleven cellular proteins (with SUMO1 being central) and networks involved in cell homeostasis/proliferation are modulated by furoxans, probably by interaction with adducts generated after degradation. Altogether, thanks to their dual effect and pharmacological flexibility, furoxans may be evaluated in the future as antiatherosclerotic molecules.
Transcriptomic and Functional Analyses of Two Cadmium Hyper-Enriched Duckweed Strains Reveal Putative Cadmium Tolerance Mechanisms

Cadmium (Cd) is one of the most toxic metals in the environment and exerts deleterious effects on plant growth and production. Duckweed has been reported as a promising candidate for Cd phytoremediation. In this study, the growth, Cd enrichment, and antioxidant enzyme activity of duckweed were investigated. We found that both high-Cd-tolerance duckweed (HCD) and low-Cd-tolerance duckweed (LCD) strains exposed to Cd were hyper-enriched with Cd. To further explore the underlying molecular mechanisms, a genome-wide transcriptome analysis was performed. The results showed that the growth rate, chlorophyll content, and antioxidant enzyme activities of duckweed were significantly affected by Cd stress and differed between the two strains. In the genome-wide transcriptome analysis, the RNA-seq library generated 544,347,670 clean reads, and 1608 and 2045 differentially expressed genes were identified between HCD and LCD, respectively. The antioxidant system was significantly expressed during ribosomal biosynthesis in HCD but not in LCD. Fatty acid metabolism and ethanol production were significantly increased in LCD. Alpha-linolenic acid metabolism likely plays an important role in Cd detoxification in duckweed. These findings contribute to the understanding of Cd tolerance mechanisms in hyperaccumulator plants and lay the foundation for future phytoremediation studies.
Hollow system with fin. Transient Green function method combination for two hollow cylinders

In this paper we develop mathematical model for three dimensional heat equation for the system with hollow wall and fin and construct its analytical solution for two hollow cylindrical sample. The method of solution is based on Green function method for one hollow cylinder. On the conjugation conditions between both hollow cylinders we construct solution for system wall with fin. As result we come to integral equation on the surface between both hollow cylinders. Solution is obtained in the form of second kind Fredholm integral equation. The generalizing of Green function method allows us to use Green function method for regular non-canonical domains.
ChemTSv2: Functional molecular design using de novo molecule generator

Designing functional molecules is the prerogative of experts who have advanced knowledge and experience in their fields. To democratize automatic molecular design for both experts and nonexperts, we introduce a generic open‐sourced framework, ChemTSv2, to design molecules based on a de novo molecule generator equipped with an easy‐to‐use interface. Besides, ChemTSv2 can easily be integrated with various simulation packages, such as Gaussian 16 package, and supports a massively parallel exploration that accelerates molecular designs. We exhibit the potential of molecular design with ChemTSv2, including previous work, such as chromophores, fluorophores, drugs, and so forth. ChemTSv2 contributes to democratizing inverse molecule design in various disciplines relevant to chemistry.
Corrosion fatigue behaviour of electrospun PCL/HA coated magnesium biocomposites

Magnesium implants are susceptible to premature failure due to corrosion and cyclic loading within the body. Composite fibre coatings are effective at reducing corrosion in magnesium materials. In this study, an Mg/HA composite was fabricated, and microscopic and mechanical characterisation was performed. The samples were then electrospun with PCL/2.5%HA fibres, and corrosion behaviour was explored by immersion tests. Finally, rotary bending fatigue tests in air and SBF environments were conducted. According to the findings, the Mg/2.5%HA and coated Mg/2.5%HA samples can withstand more than 1 million cycles under 60 MPa. Compared to pure Mg, Mg/2.5%HA has better corrosion and corrosion fatigue resistance. Furthermore, a PCL/2.5%HA fibre coating can increase the corrosion fatigue resistance of Mg/2.5%HA as a result of the polymer scaffold, passive protective layer, and apatite adsorption capability. Results suggest that Mg/2.5%HA composites coated with PCL/2.5%HA fibres are potentially suitable for use in orthopaedic biomaterials.
NASA’s EM Drive Thrust from the Forces of the Quantum Vacuum of Spacetime

Building on the various manifestations of the forces latent in the quantum vacuum of spacetime such as Hawking’s radiation and Unruh temperature, we resolve a major paradox connected to an immensely important proposal by NASA scientists for constructing a practically fuelless spacecraft. In a nutshell, preliminary laboratory work shows that NASA’s electromagnetic drive project is viable and several experiments and measurements show it is real. Yet the proposal violates a fundamental principle of classical mechanics, namely Newton’s third law. The resolution of this paradox is quite straight forward in principle. It is simply the case that although the proposal seems to be based on classical mechanics and classical thinking it is only superficially so. Deep at the roots, the EM drive proposal of NASA is not classical physics but rather based on the vacuum forces of quantum cosmology and the theory of dark energy density of the universe. In fact the proposal is deeply linked to Hawking’s radiation and Unruh temperature, which is explained in some detail in the main body of the present short paper within the frame work of E-infinity Cantorian spacetime theory and D. Gross’ Heterotic superstring theory. In short the quintessence of our explanation is to regard the EM drive as a quasi electromagnetic cavity with an effective event horizon akin to that of a Hawking black hole emitting radiation causing ultimately the needed thrust to push the spacecraft forwards. In addition and by invoking fractal spacetime self similarity we show that a spacecraft will be subject to another cosmic thrust on the large scale of the entire cosmos.
Chaos synchronization for a class of uncertain chaotic supply chain and its control by ANFIS

In this paper, modelling of a three-level chaotic supply chain network. This model has the uncertainty of the retailer in the manufacturer. An adaptive neural fuzzy method has been proposed to synchronize the two chaotic supply chain networks. To train adaptive neural fuzzy controller, first, a nonlinear feedback control method is designed. Then, using Lyapanov theory, it is proved that the nonlinear feedback controller can reduce the synchronization error to zero in a finite time. The simulation results show that the proposed neural fuzzy controller architecture well controls the synchronization of the two chaotic supply chain networks. In the other part of the simulation, a comparison is made between the performance of the nonlinear controller and the adaptive neural fuzzy. Also, in the simulation results, the controller signal is depicted. This signal indicates that the cost of implementation in the real world is not high and is easily implemented.
Lightweight concrete crack segmentation method based on Deeplabv3+

As one of the most serious damages of concrete structure, crack will lead to shorter service life and lower safety factors of concrete structure. The existing concrete crack segmentation model has the shortcomings of large number of parameters and slow inference speed, which makes it difficult to apply the model to the actual detection scene. To solve the above problems, this paper proposes a lightweight concrete crack segmentation method based on DeeplabV3+, which effectively reduces the number of model parameters and improves crack segmentation accuracy by replacing the backbone and adding the SSH (Single Stage Headless) context module and ECA (Efficient Channel Attention). The experimental results show that the crack segmentation Precision and IoU of the proposed model are superior to other models when comparing the unit parameter number, the crack segmentation Precision and IoU of the proposed model reach 80.80% and 71.45% respectively as well, when only accounting for 14.3% of the parameters of DeeplabV3+ with ResNet101 as the backbone.
Non linear second order partial differential equations as generalized inverse moment problems

Abstract General forms for non linear elliptic, hyperbolic and parabolic partial differential equations are considered. For all these we present a general procedure that transforms they into a Fredholm integral equation of the first kind. The resulting integral equations are then handled as a generalized moment problem. An inversion algorithm as well as conditions for the stability for the solution of this last are given. Some examples show the accuracy of the inversion method.
A Study on the Causes and Effects of Place Attachment - Based on the Perspective of Person

Place attachment studies the positive emotional connection between people and places. It is a comprehensive concept and has gained a lot of scientific attention in recent decades. There are many researchers exploring its influencing factors, but in terms of “person”, most researchers are limited to demographic variables. This study collected 519 data through questionnaires, excavated the possible predictors of residents’ place attachment based on the perspective of person, and constructed a structural equation model of place attachment to explore its causes and influence effects. The results of the study found that: 1) Possession, friend-tie, and self-identify positively affect residents’ place attachment; 2) place attachment positively affects residents’ subjective well-being, which in turn affects their recommendation intention.
COHEN‐MACAULAY MODULES OVER COHEN‐MACAULAY RINGS

定義 1.1 有限生成R加群MがCohen-Macaulay加群、あるいは極大Cohen-Macaulay 加群(CM加群または MCM加群と略す)とは、depthM = dimRが成立するときを言 う。 あるいは局所コホモロジーを使って、H i m(M) = 0 (0 ≤ i < dimR)ということとも 同値である。 また、環RがCohen-Macaulay環 (CM 環と略す)とは、R加群としてR がCM加群であるときを言う。 Rが体を含むという仮定のもとでは、RはR/mと同型な体kを含むので、(完備局所 環のCohenの構造定理によって)、Rはk上の形式的羃級数環Tを部分環として含み、R はT上(加群として)有限生成である。 この状況では、有限生成R加群MがCM加群で あることは、MがT加群として自由加群であることと同値である。 以下では、RはCM 局所環としR上のすべてのCM加群(とその間のR準同型写像)のなす加法圏をCM(R) と表す。 この圏CM(R)は有限生成加群の圏mod(R)の resolventな充満部分圏である。 我々の最終的目標は、この圏CM(R)の構造を完全に決めることであると言っても良い。 Rを完備局所環と仮定しているので、CM(R)はKrull-Schmidt圏、すなわち直既約分解 の一意性が成立する。 CM局所環Rが有限CM表現型であるとは、CM(R)に直既約加群 の同型類が有限個しか存在しないときを言う。 RがGorensteinであるとき、CM(R)の 安定化圏をCM(R)と表すと、圏論的には導来圏の商としてCM(R) ∼= D fg(R)/perf(R) と表すこともできる(Buchweitzの定理)。 CM加群について最も基本的な定理は何かと 問われれば、おそらく次のAuslander-ReitenによるAR双対と言われる公式であろう。
Magnetoconvection and entropy generation of nanofluid in an enclosure with an isothermal block: Performance evaluation criteria analysis

Paper No.17-00587 © 2018 The Japan Society of Mechanical Engineers [DOI: 10.1299/jtst.2018jtst0019] Abstract In this paper, heat transfer and entropy generation of MHD natural convection of Carbone NanoTube (CNT)water nanofluids in a square cavity with and without isothermal block are numerically studied. The cavity is heated sinusoidally, according to the X coordinate, from below and it is cooled isothermally from the top. The two vertical walls are kept adiabatic. Three cases were investigated: square cavity without block (WB), with cold block (CB), and with hot block (HB). The nonlinear governing equations and boundary conditions are discretized using finite volume approach with the Quick scheme and solved numerically by projection algorithm for the pressure-velocity coupling together with the multigrid solver. Simulations were carried out based on various flow-governing parameters such as Hartmann number (0<Ha<45), nanoparticle volume fraction (0<<12%) and for the three considered cases (WB, CB, and HB) with a fixed Rayleigh number Ra= 10, Prandtl number Pr=6.2 and irreversibility factor =10. The effects of the pertinent parameters in the performance of the system were investigated. Results show that increasing Ha always ameliorate the system’s performance, however, increasing  enhances the performance only at high Ha values. Furthermore, the presence of the cold block inside the cavity (CB) was characterized by the greatest values of the Performance Evaluation Criteria (PEC), which means that this case has the best performance compared with the two others cases.