Miracle-dz/UniFAR-FTUs huggingface dataset:
Parental Financial Assistance and Psychological Well-Being Among Korean Emerging Adults: Pressure from and Fulfillment of Parental Career Expectations as Mediators

Many emerging adults receive parental financial assistance (PFA) to prepare for their future and career, but it can also be a psychological burden through parental career expectations. The purpose of this study was to examine whether actual PFA (APFA) and the evaluation of PFA (EPFA) were associated with Korean emerging adults’ psychological well-being both directly and indirectly through pressure from and the fulfillment of parental career expectations. Our data came from 1,107 never-married Korean emerging adults (593 women; 19-34-year-olds) who had at least one living parent. Structural equation modeling indicated that APFA was directly associated with higher life satisfaction while EPFA was directly related to both depressive symptoms and life satisfaction. Pressure from parental career expectations alone mediated the relationship between APFA/EPFA and depressive symptoms. The indirect relationship between APFA/EPFA and life satisfaction was also significant when pressure from career expectations and fulfillment of career expectations were sequential mediators.
Complete response to third-line treatment with trifluridine/tipiracil (TAS-102) in stage IV colon adenocarcinoma

A clinical case of a 61-year-old female diagnosed with stage IV right colon adenocarcinoma (unresectable liver and multiple lymph node metastases at the time of diagnosis), Kirsten rat sarcoma viral oncogene homolog (KRAS), neuroblastoma rat sarcoma viral oncogene homolog (NRAS) and v-raf murine sarcoma viral oncogene homolog B (BRAF) wild-type, proficient mismatch repair (pMMR), in whom a complete response to the third-line of systemic treatment with trifluridine/tipiracil (TAS-102) was obtained. The complete response has been maintained for more than 2 years after its suspension.
Everyday Experiences of Physical Function and Awareness of Fall Risk in Older Adulthood

Abstract Background and Objectives Falls, the leading cause of death and disability among older adults, occur in daily life when the demands of daily activities surpass the ability to maintain balance. An estimated 30% of older adults misestimate their physical function, placing them at greater risk of falling. This study examined how experiences of physical function are linked to awareness of fall risk in daily life. Research Design and Methods For 30 consecutive days following a fall-risk assessment, 41 older adults (observations = 1,135; 56% women; age: 65–91) self-assessed objective and subjective fall risk using a custom smartphone application. Alignment of objective and subjective fall risk was indexed as awareness of fall risk. Postural sway was measured by the application. Physical and mobility symptoms and fear of falling were reported daily. Results At baseline, 49% of participants misestimated their fall risk. Awareness of fall risk varied from day to day and fall risk was misestimated on 40% of days. Multilevel multinomial models showed individual differences in the level of daily symptoms to increase the tendency to misestimate fall risk. Daily symptoms and fear of falling increased awareness of high fall risk, but daily symptoms threatened awareness of low fall risk. Discussion and Implications Findings suggest that misestimation of fall risk is common in older adulthood and informed by appraisals of physical function. Fall prevention strategies could support older adults in understanding their everyday physical function and provide tools to adjust the demands of activities in daily life.
Most Mathematics Classrooms Contain Wide-Ranging Achievement Levels

School-based learning experiences are often designed with the “typical” student in mind. However, this may not be an optimal approach, given the variability of prior learning that exists in most classrooms. We investigated the variance in achievement within U.S. fourth- and eighth-grade mathematics classrooms using Trends in International Mathematics and Science Study (TIMSS), an international assessment that uses representative samples within participating countries and has pre-established benchmarks. Approximately 23% of students in a typical Grade 4 classroom were found to score at or below the low benchmark, whereas 14% met or exceeded the advanced benchmark; these numbers are 35% and 14% for Grade 8 classrooms. That is, nearly 38% and 49% of students in the typical Grade 4 and 8 classroom, respectively, may require instruction substantially different from typical “grade-level” instruction to allow them to work within their zone of proximal development for mathematics. Furthermore, approximately 69% of Grade 4 and 35% of Grade 8 classrooms included students across all four benchmarks. Finally, about 68% and 37% of the variance lay within classrooms at each grade level, respectively. These results provide evidence that one-size-fits-all age-based approaches to instruction are unlikely to provide effectively targeted learning experiences for all students. Instead, a variety of services, such as flexible ability grouping or acceleration, may provide more relevant instruction.
Reactive oxygen species in plasma against E. coli cells survival rate

In this paper, we report on the contrastive analysis of inactivation efficiency of E. coli cells in solution with different disinfection methods. Compared with the hydrogen peroxide solution and the ozone gas, the atmospheric-pressure He plasma can completely kill the E. coli cells in the shortest time. The inactivation efficiency of E. coli cells in solution can be well described by using the chemical reaction rate model. X-ray photoelectron spectroscopy (XPS) analysis shows that the C–O or C=O content of the inactivated E. coli cell surface by plasma is predominantly increased, indicating the quantity of oxygen-containing species in plasma is more than those of two other methods, and then the C–C or C–H bonds can be broken, leading to the etching of organic compounds. Analysis also indicates that plasma-generated species can play a crucial role in the inactivation process by their direct reactions or the decompositions of reactive species, such as ozone into OH radicals in water, then reacting with E. coli cells.
Incorporation of carbon nanotubes in hole transport materials for perovskite solar cells

ABSTRACT Many loss processes in perovskite solar cells (PSCs) take place at interfaces. One effective mitigation strategy is introducing carbon derivatives at the interface of the charge transport layers with the halide perovskite absorber and/or with the contacts. In this work, single-walled carbon nanotubes are incorporated into the hole transporting material (HTM), either as composites or as a separate layer on top of the HTM. Both organic and inorganic hole transport materials are studied to validate this approach for different types of HTMs. It is shown that the CNTs facilitate charge transport from perovskite to the back contact, regardless of the HTM used. The use of CNTs results in an increase in a significant increase in short circuit current and power conversion efficiency. This study illustrates how SWCNTs can be utilised to improve the properties of a wide range of HTMs, which will pave the way for more efficient and PSCs.
Modulation of Apoptosis and Autophagy by Melatonin in Juglone-Exposed Bovine Oocytes

Simple Summary During the in vitro embryo production (IVP) of embryos, the in vitro maturation (IVM) environment triggers the accumulation of reactive oxygen species that harm the maturation of oocytes and subsequent developmental competence. We used a bovine oocyte model to check the effect of melatonin (MT) supplementation during IVM on the quality and developmental competence of oocytes while under the stress of juglone. Using different analytical tools, the efficiency of MT in protecting oocytes from the deleterious effects of juglone-induced oxidative stress in bovine oocytes via the regulation of oocyte development, apoptosis, autophagy, and mitochondrial function was observed. Abstract Melatonin, an antioxidant hormone secreted by the pineal gland, has been recognized as a regulator for numerous biological events. The deleterious effects of juglone, a polyphenolic extract of walnut trees, on embryo development has been previously reported. In the current study, we aimed to display the impact of melatonin administrated during in vitro oocyte maturation (IVM) on juglone-treated oocytes. Thus, in vitro matured oocytes were collected after 24 h post incubation with juglone in the presence or absence of melatonin. Reactive oxygen species (ROS), glutathione (GSH) content, mitochondrial distribution, and the relative abundance of mRNA transcription levels were assessed in oocytes, in addition, oocytes were in vitro fertilized to check the competency levels of oocytes to generate embryos. We found that administration of melatonin during the maturation of oocytes under juglone stress significantly improved the cleavage rate, 8-16 cell-stage embryos and day-8 blastocysts when compared to the sole juglone treatment. In addition, the fluorescence intensity of ROS increased, whereas the GSH decreased in juglone-treated oocytes compared to melatonin–juglone co-treated and untreated ones. Additionally, a significant increase in the mitochondrial aberrant pattern, the pattern that was normalized following melatonin supplementation, was observed following juglone administration. The mRNA analysis using RT-qPCR revealed a significant upregulation of autophagy and oxidative-stress-specific markers in the juglone-treated group compared to the co-treatment and control. In conclusion, the study reveals, for the first time, a protective effect of melatonin against the oxidative stress initiated following juglone treatment during the in vitro maturation of oocytes.
Formulation of discontinuous Galerkin method with non-zero mesh skeleton width for scalar and vector elliptic problems

The paper presents the Discontinuous Galerkin method (DG) formulated with a non-zero mesh skeleton width. The mesh skeleton has a nite volume but is not spatially discretized. Such an approach results in a novel formulation with inter-element interfaces which is named Interface Discontinuous Galerkin (IDG). The IDG approach, contrary to standard DG (SDG) approach, is symmetric and numerically stable. The IDG formulation is consistent and gives better results in comparison to the SDG method. In the IDG approach the interface law comes directly from the problem under consideration and has a physical interpretation. It provides compatibility conditions for the discontinuous nite element interpolation. In consequence, the penalty parameter present in the SDG method is substituted by a geometrically interpreted parameter that can be quite easily evaluated with the use of the approach described in the paper.
Characteristics of negative and undular surges in an impounded channel

ABSTRACT Physical experiments were conducted in an impounded channel to study the propagation of negative surges advancing in still water and evolution of undular surges against an instantaneously varied flow. The results demonstrated that the initial wave height of a negative surge could be accurately predicted using the simple wave solution of the Saint–Venant equations. Moreover, the wave height evolution during surge propagation could be satisfactorily described using the solution by Ippen and Kulin. The main characteristics of an undular surge were strongly correlated to the surge Froude number and turbulent boundary layer development at the toe of the surge. However, the occurrence of wave breaking at the first wave crest was independent of the inflow conditions and was close to the breaking criterion for solitary waves. Furthermore, the present results indicated the largest turbulent Reynolds stress components beneath the wave crests of an undular surge.
Wetland soil carbon storage exceeds uplands in an urban natural area (Florida, USA)

Context . Urban greenspaces and natural areas are often recognised for their cultural services, but may also provide ecological services, including carbon (C) sequestration and storage. Aims . This study investigated the strength of the relationship between easily discernable ecosystem characteristics (e.g. topographic position, vegetation, and soil type) and soil C storage, and evaluated common conversion factors and methodologies used in soil C inventories. Methods . Sixty-seven full-depth (up to 5 m) soil cores were collected across nine community types in University of Central Florida ’ s Arboretum (Orlando, Florida, USA) and were analysed for bulk density, organic matter (OM) content, total C, and total nitrogen (N). Key results . Wetlands stored an average of 16 times more C than uplands and C density increased with soil depth. A 70% underestimation of soil C stocks would have occurred if sampling stopped at 50 cm. A strong linear relationship between soil C and OM supports the use of a 0.56 (C:OM) conversion factor for estimating soil organic C. Conclusions . The presence of wetlands is the key predictor of soil C and N storage, but the magnitude of storage varies widely among wetlands. Overall, the 225-ha study area stored 85 482 ± 3365 Mg of soil C. Implications . Urban natural areas should be evaluated for their ecosystem servicesseparately from their surroundingdevelopedlanduse/land cover with consideration for C storage potential. Leveraging topographic position, a site-speci ﬁ c soil OM conversion factor, and depth to refusal testing can increase the accuracy and cost-effectiveness of soil C inventories.
Malpractice Lawsuits Relating to Mechanical Thrombectomy for Acute Ischemic Stroke: A Systematic Review

Background and Purpose Medical-legal claims for malpractice relating to the use of alteplase for acute ischemic stroke (AIS) are usually for failure to treat rather than for complications. The advent of mechanical thrombectomy (MT) as a standard of AIS treatment has added a new dimension to the medical-legal landscape as there is a need for the delivery of a higher level of care creating the potential for delays and errors associated with such treatment. Information on causes of malpractice related to mechanical thrombectomy (MT) is currently lacking. Methods We conducted a systematic review of legal databases (Westlaw, LexisNexis, Google Scholar Case Law, and VerdictSearch) to identify medical malpractice cases with and without verdicts filed in the United States up to March 31, 2021 which pertained to performance or non-performance of MT for AIS. We collected various case characteristics, case outcomes, and root causes for malpractice claims. Results We found 25 cases, 16 of which alleged failure to treat with MT, 8 for harm due to delay in treatment and 1 case that alleged complications. Root causes included delay in vascular imaging, communication breakdowns, and transportation delays. Eight cases had an outcome in favor of the defendant, 9 in favor of the plaintiff, and 8 remained to be determined. Conclusions As with alteplase, malpractice allegations regarding MT for AIS are largely for failure to treat or delay in treatment as opposed to complications. Addressing root causes of diagnostic delay, communication breakdowns, and transportation delays may reduce subsequent malpractice risk.
Multi-feature fusion network for person reidentification

Abstract. Most existing studies on person reidentification (Re-ID) utilize deep feature representation learning. However, images often contain occlusion situations and nondiscriminative personal information. To extract more representative features, some researchers extract implicit deep semantic information by designing complex modules, such as mask maps and human pose landmarks. However, this can introduce complex human annotation and computational work. To overcome these issues, we propose a Re-ID model called multifeature fusion network (MFFNet). Our network does not require any additional auxiliary information and incorporates two new designs: the feature refinement pooling block (FRPB) and the feed-forward conduction structure (FCS). Based on the “split-learn-merge” principle, the FRPB decomposes a person’s features into coarse-grained to fine-grained representations. The FRPB learns the corresponding local detail information and merges the multigranular features into the partial person representation. To address the issue of most current methods heavily relying on accurate bounding boxes, the FCS enables character matching at different resolution scales by learning multiple semantic levels of representation. Through a series of ablation experiments, we demonstrate that the proposed strategy is effective for person Re-ID tasks. The results indicate that MFFNet achieves more competitive experimental results than the existing state-of-the-art methods.
Mixed Type Second-order Duality for a Nondifferentiable Continuous Programming Problem

A mixed type second-order dual is formulated for a class of continuous programming problems in which the integrand of the objective functional contains square root of positive semi-definite quadratic form; hence it is nondifferentiable. Under second-order pseudoinvexity and second-order quasi-invexity, various duality theorems are proved for this pair of dual nondifferentiable continuous programming problems. A pair of dual continuous programming problems with natural boundary values is constructed and it is briefly indicated that the duality results for this pair of problems can be validated analogously to those for the earlier models. Lastly, it is pointed out that our duality results can be regarded as dynamic generalizations of those for a nondifferentiable nonlinear programming problem, already treated in the
The metaverse experience in luxury brands

PurposeThe purpose of this study is to develop the scale of the metaverse experience and examine the effect of the metaverse experience on consumer happiness in luxury brands.Design/methodology/approachA survey was distributed to metaverse users from general participants in the Republic of Korea. To reach this goal, the domain of the metaverse experience is defined, items are created through qualitative interviews, the initial scale is refined and then the scale is tested. A total of 262 valid responses were used for exploratory factor analysis (EFA), and 238 data were used for confirmatory factor analysis (CFA). The hypothesis was tested using structural equation modeling (SEM) and SmartPLS 3.0. FindingsThe results showed that the metaverse experience comprises three sub-constructs, namely fantasies, feelings and fun. Also, the metaverse experience affects consumer happiness positively in luxury brands.Originality/valueThis study investigates consumer experience in the metaverse environment. The authors examined the metaverse experience based on the experiential aspects of the consumption of luxury brands and develop the scale development of the metaverse experience. Furthermore, the relationship between metaverse experiences and consumer happiness provides a new perspective in studying metaverse marketing strategy and customer service creation.
Knockdown of circ_CLIP2 regulates the proliferation, metastasis and apoptosis of glioma cells through miR-641/EPHA3/STAT3 axis

Abstract A great amount of reaches have confirmed that circular RNAs (circRNAs) are novel regulators in glioma progression. Here, our work aimed to probe the specific role of circ_CLIP2 in glioma. The mRNA and protein expressions were analyzed by qRT-PCR and western blot, respectively. Cell viability, migration, invasion and apoptosis were examined by MTT assay, tranwell and flow cytometry assays, respectively. Moreover, the binding relationships between circ_CLIP2, microRNA (miR)-641 and erythropoietin-producing human hepatocellular (Eph)A3 were verified by dual luciferase reporter gene assay and/or RIP assay. The following data showed that circ_CLIP2 and EPHA3 were markedly increased in glioma tissues and cells, while miR-647 was downregulated. Gain- and loss-of-function experiments discovered that circ_CLIP2 knockdown remarkably inhibited cell proliferation, migration and invasion and promoted cell apoptosis of glioma cells, while these effects of circ_CLIP2 knockdown were abolished by miR-641 inhibition. Circ_CLIP2 was proved as a sponge of miR-641 to competitively upregulate EPHA3 expression. In addition, EPHA3 overexpression could abolish the inhibitory effects of miR-641 overexpression on the malignant behaviors of glioma cells by activating the signal transducer and activator of transcription 3 (STAT3). These findings elucidated that circ_CLIP2 knockdown suppressed glioma development by regulation of the miR-641/EP HA3/STAT3 axis, which provided a novel mechanism for understanding the pathogenesis of glioma.
Numerical Model Error in Data Assimilation

In this thesis, we produce a rigorous and quantitative analysis of the errors introduced by finite difference schemes into strong constraint 4D-Variational (4D-Var) data assimilation. Strong constraint 4D-Var data assimilation is a method that solves a particular kind of inverse problem; given a set of observations and a numerical model for a physical system together with a priori information on the initial condition, estimate an improved initial condition for the numerical model, known as the analysis vector. This method has many forms of error affecting the accuracy of the analysis vector, and is derived under the assumption that the numerical model is perfect, when in reality this is not true. Therefore it is important to assess whether this assumption is realistic and if not, how the method should be modified to account for model error. Here we analyse how the errors introduced by finite difference schemes used as the numerical model, affect the accuracy of the analysis vector. Initially the 1D linear advection equation is considered as our physical system. All forms of error, other than those introduced by finite difference schemes, are initially removed. The error introduced by `representative schemes' is considered in terms of numerical dissipation and numerical dispersion. A spectral approach is successfully implemented to analyse the impact on the analysis vector, examining the effects on unresolvable wavenumber components and the l2-norm of the error. Subsequently, a similar also successful analysis is conducted when observation errors are re-introduced to the problem. We then explore how the results can be extended to weak constraint 4D-Var. The 2D linear advection equation is then considered as our physical system, demonstrating how the results from the 1D problem extend to 2D. The linearised shallow water equations extend the problem further, highlighting the difficulties associated with analysing a coupled system of PDEs.