Miracle-dz/UniFAR-FTUs huggingface dataset:
Explicit topology optimization for graded lattice flexoelectric nanostructures via ersatz material model

This work proposes a moving morphable component (MMC)‐based topology optimization approach for designing graded lattice flexoelectric nanostructures, which are generally considered to have better flexoelectric properties. To this end, the infill structure is described with the use of a set of components. A coordinate perturbation is made to the topology description functions of the components to achieve a graded distribution of the flexoelectric materials. Resorting to the explicit parameters of the components, the singular disconnected structure can be naturally controlled with the use of lower/upper bound constraints. To ensure the continuity in the approximation of the PDEs of flexoelectricity, an ersatz material model is developed by combining isogeometric analysis (IGA) with MMC. Since MMC provides definite feature sizes in the optimization result, the complicated infill lattice can be manufactured by additive manufacturing directly. The flexoelectric performances of the design results from the proposed approach are demonstrated through both numerical examples and experimental measurements. It is shown that the obtained novel infill lattice structures have better flexoelectric performance when compared with traditional structural configurations.
The Origins of Social Evolution

This study hypothesizes the emergence of social evolution in northeast Africa, about 70,000 years ago. The combined emergence of syntactic language and collaborative groups generated a process of systematic social change. Spoken language itself and its speaking community, as they solidified, became the first social institutions. A deductive theory formalizes the emergence of language in a group of youths, tracing the “institutional evolution” of their community in a model inspired by Darwinian logic. The model relies on innovative variation in creating institutions, on institutional inheritance by succeeding generations, and a process of social selection that preserves the institutions seen as fit. It is argued that the articulation of this theory, with its testing on evidence from the late Pleistocene era, should help sort out relations among the many current research projects in human biological, cultural, and social evolution. [social evolution, syntactic language, we-group behavior, institutional change, social selection]
Characteristics of Rainbands, Radar Echoes, and Lightning near the North Carolina Coast during GALE

Abstract Characteristics of mesoscale rainbands and echoes in radar reflectivity data recorded during the field phase of the Genesis of Atlantic Lows Experiment (GALE) are presented. The primary sources of data were radar microfilm and manually digitized radar (MDR) reports from the operational National Weather Service (NWS) radars at Cape Hatteras (HAT) and Wilmington (ILM), North Carolina. The dataset also included cloud-to-ground lightning flashes that were recorded by the network operated by the State University of New York at Albany. The analyses included rainbands of at least 90-km length with lifetimes of at least 2 h. Nearly all of the rainbands were within 400 km of synoptic-scale or coastal fronts. Warm-sector rainbands predominated. Rain-bands were clarified by the location of their initial detection relative to the land. coastal shelf, and Gulf Stream. Rainbands were initially identified more frequently over the Gulf Stream and ten often over the coastal shelf than the corresponding fractional.
Mitigation of CO2 Emissions from Marine Seismic Surveys via Drag Reduction and Digital Transformation Initiatives

We describe a family of digital transformation initiatives that collectively are allowing us to simultaneously optimize marine seismic survey performance and fuel consumption through the real time deployment of machine learning solutions, as well as develop long term insights into better survey design and vessel management practices to reduce drag forces and fuel consumption. Other benefits to more sustainable operations include better survey planning to optimize shooting plans, better maintenance of physical assets, and less associated physical waste.
Spi1 regulates the microglial/macrophage inflammatory response via the PI3K/AKT/mTOR signaling pathway after intracerebral hemorrhage

Preclinical and clinical studies have shown that microglia and macrophages participate in a multiphasic brain damage repair process following intracerebral hemorrhage. The E26 transformation-specific sequence-related transcription factor Spi1 regulates microglial/macrophage commitment and maturation. However, the effect of Spi1 on intracerebral hemorrhage remains unclear. In this study, we found that Spi1 may regulate recovery from the neuroinflammation and neurofunctional damage caused by intracerebral hemorrhage by modulating the microglial/macrophage transcriptome. We showed that high Spi1 expression in microglia/macrophages after intracerebral hemorrhage is associated with the activation of many pathways that promote phagocytosis, glycolysis, and autophagy, as well as debris clearance and sustained remyelination. Notably, microglia with higher levels of Spi1 expression were characterized by activation of pathways associated with a variety of hemorrhage-related cellular processes, such as complement activation, angiogenesis, and coagulation. In conclusion, our results suggest that Spi1 plays a vital role in the microglial/macrophage inflammatory response following intracerebral hemorrhage. This new insight into the regulation of Spi1 and its target genes may advance our understanding of neuroinflammation in intracerebral hemorrhage and provide therapeutic targets for patients with intracerebral hemorrhage.
An analysis of location types and spatial patterns in the Korean food manufacturing industry

Abstract Because the food manufacturing sector, as a fundamental and regionally specialized enterprise, has a substantial impact on the rural economy, an empirical analysis of the food manufacturing industry’s expansion is required. However, regarding the evidence and means of ensuring vitality in agricultural and rural areas, academic theories and empirical studies still lack depth among the existing scholarship. As such, this study conducted a spatial pattern analysis to determine whether small food manufacturers in Korea were more concentrated than other manufacturing industries by using cluster analysis methods. The data used for the analysis are business basic survey statistics (2010), taken from a comprehensive survey that discloses the number of businesses, number of employees, organizational type, employee size, and occupational status of all businesses nationwide every year, even at the 5-digit level of municipalities. Data from 2000 and 2010 were used to analyze the employment growth of the food manufacturing industry. In 2010, 230 cities (Si), counties (Gun), and boroughs (Gu) were targeted to analyze employment patterns in the food manufacturing industry. The analysis results indicated that there were differences in potential cluster regions according to regional characteristics. Through the results of the study of spatial patterns, several implications were found for Korea’s food manufacturing industry promotion policy. In addition, this study provides basic information for analyzing the external effects of the food manufacturing industry through agglomeration by industry and region and the impact on productivity through related industries.
Time-Varying Formation Planning and Scaling Control for Tethered Space Net Robot

The capture for space debris by tethered space net robot (TSNR) is formulized as a time-varying formation tracking problem with scaling size. To ensure a successful capture, the contact dynamics, capture configuration optimization, and scaling formation tracking control are investigated in this article. Different from existing research, a more realistic space debris with a complex shape is involved to gain understanding of contact dynamics. Moreover, the design of size scaling wrap configuration of the TSNR during capture is converted to an approximate path planning problem solved by sequential convex programming. In addition, a formation scaling factor is introduced to regulate the opening area of the TSNR to guarantee a successful net capture. Considering the case that the desired size scaling factor of the formation is known only by one maneuvering unit, an observer-based time-varying formation tracking control algorithm is proposed. Finally, the effectiveness of the planning and control strategy for capturing space debris through TSNR are demonstrated.
CALCULATION OF PSEUDOSPECTRABYTHE ARNOLDI ITERATION

The Amoldi iteration, usually viewed as a method for calculating eigenvalues, can also be used to estimate pseudospectra. This possibility may be of practical importance, because in applications involving highly nonnormal matrices or operators, such as hydrodynamic stability, pseudospectra may be physically more significant this paper we explore the possibility that the Arnoldi iteration can also be used for the esti- mation of pseudospectra. Such an idea was first proposed by Nachtigal, Reichel, and Tre- fethen (17) and Freund (7), and methods much closer to those of the present paper have been presented by Ruhe in talks at the Householder (1993) and St. Girons (1994) symposia on linear algebra (23). Recent developments indicate that in some applications, the pseu- dospectra of a matrix or operator may be more significant physically than its spectrum (see 7). Since calculation of pseudospectra is much more expensive than calculation of spec- tra, this suggests that it may be desirable to develop methods for determining them itera- tively.
Geostatistical Methods for Incorporating Auxiliary Information in the Prediction of Spatial Variables

Universal kriging is one method used for the prediction of nonstationary spatial functions. This article shows how the universal kriging approach may be used to incorporate explanatory variables in the mapping of a spatial process. Such an approach is often called "kriging with external drift" in the geostatistical literature. Both of these techniques require knowledge of the semivariogram of the residual process, and they have often been criticized for difficulties in obtaining this semivariogram. However, with regard to estimation of the parameters of the underlying semivariogram model, both universal kriging and kriging with external drift are special cases of a statistical regression model with spatially correlated errors. In this article, restricted maximum likelihood is used to obtain estimates of the parameters of the residual process, and an approximate F test that incorporates the spatial correlation in testing the significance of the trend or explanatory relationship is given. The external drift approach is contrasted with a different method, known as cokriging, for incorporating the same auxiliary information. Some of the fundamental ideas inherent in the cokriging approach are summarized and discussed. The use of a linear model of coregionalization in obtaining valid semivariogram models for cokriging is demonstrated. Both approaches are illustrated using a data set obtained from a variable-rate farming experiment in Adams County, Nebraska.
Mutation-specific Mismatch Repair–deficient Benign Endometrial Glands in Endometrial Biopsies and Curettings Are a Biomarker of Lynch Syndrome and Associate With Endometrial Carcinoma Development

Endometrial carcinoma is the most common extraintestinal cancer in Lynch syndrome (LS). Recent studies have demonstrated mismatch repair (MMR) deficiency can be detected in benign endometrial glands in LS. We performed MMR immunohistochemistry in benign endometrium from endometrial biopsies and curettings (EMCs) from a study group of 34 confirmed LS patients and a control group of 38 patients without LS who subsequently developed sporadic MLH1-deficient or MMR-proficient endometrial carcinoma. MMR-deficient benign glands were only identified in patients with LS (19/34, 56%) and were not identified in any control group patient (0/38, 0%) (P < 0.001). MMR-deficient benign glands were identified as large, contiguous groups in 18 of 19 cases (95%). MMR-deficient benign glands were identified in patients with germline pathogenic variants in MLH1 (6/8, 75%), MSH6 (7/10, 70%), and MSH2 (6/11, 55%) but not in patients with variants in PMS2 (0/4). MMR-deficient benign glands were seen in all EMC samples (100%) but in only 46% of endometrial biopsy samples (P=0.02). Patients with MMR-deficient benign glands were significantly more likely to have endometrial carcinoma (53%) compared with LS patients with only MMR-proficient glands (13%) (P=0.03). In conclusion, we demonstrated that MMR-deficient benign endometrial glands are frequently identified in EMB/EMC in women with LS and are a specific marker for LS. Women with LS with MMR-deficient benign glands were more likely to have endometrial carcinoma suggesting that MMR-deficient benign glands may be a biomarker of increased risk of endometrial carcinoma development in LS.
Risk Factors and Protective Factors of Internet Addiction in University Students during the Pandemic: Implications for Prevention and Treatment

While the prevalence rates of Internet addiction (IA) amongst young people during the pandemic are disturbing, few studies have investigated the risk and protective factors of IA in Hong Kong university students under COVID-19. In this study, we examined the relationship between COVID-19-related stress and IA and the role of psychological morbidity and positive psychological attributes in the relationship. In summer 2022, 978 university students completed a survey assessing pandemic-related stress, psychological morbidity, and positive psychological attributes. While psychological morbidity was indexed by depression, post-traumatic stress disorder, and suicidal behavior, positive psychological attributes included life satisfaction, flourishing, adversity beliefs, emotional competence, resilience, and family functioning measures. Results showed that stress and psychological morbidity positively predicted IA, and psychological morbidity mediated the association between stress and IA. Positive psychological attributes negatively predicted stress and IA, and mediated the connection between stress and IA. Positive psychological attributes moderated the mediating effect of psychological morbidity on the relationship between stress and IA. In addition to theoretical contributions, this study contributes to IA prevention and treatment: reducing psychological morbidity and promoting positive psychological attributes are promising strategies to address IA issues in young people.
Levels and predictors of knowledge of epilepsy among patients attending the epilepsy clinic of a neuro-psychiatric facility in North-Eastern Nigeria

Introduction significant numbers of patients with epilepsy have poor knowledge of their disease. Patients' knowledge of disease is related to their success in coping with the disease and adherence to medication; which is one of the key factors that determined the success of pharmacotherapy in patient with epilepsy. In this study, we evaluate the level of knowledge of epilepsy among patient with Epilepsy in a tertiary mental health care facility. Methods using a cross-sectional design, 410 patients with epilepsy attending general outpatient clinic of Federal Neuropsychiatric Hospital, Maiduguri in Northeastern Nigeria were sampled randomly into the study after fulfilling the inclusion and exclusion criteria. Socio-demographic, clinical and epilepsy knowledge questionnaires were used for data collection. Data were analyzed using the Statistical Package for Social Sciences (SPSS) version 18 Results 263 (64.1%) had poor knowledge of epilepsy and 290 (70%) had less frequent seizures (having fewer than four seizure episodes in the last three months). Independent predictors of knowledge of Epilepsy were intermediate skilled employment (O.R = 2.32, P = 0.022, 95% C I = 1.13 - 4.76); semi-skilled employment (O. R = 1/85, p = 0.001, 95% C I = 1.10 - 3.12); seizure frequency (O R = 1.72, p = 0.031, 95% C I = 1.31 - 3.24). Conclusion the level of knowledge of epilepsy among people with epilepsy was low with more than 64.1% percent of the participants had poor knowledge of epilepsy. Occupational status and seizure frequencies were independent predictors of knowledge of epilepsy. We therefore recommend psycho-educational programs be incorporated in the routine clinical care of the patients and for clinicians to pay more attention to providing information and education needs of patients.
The Relationship between Cash Remains and Firm Performance

The purpose of the present study was to evaluate the relationship between cash remains and firm performance in firms of Tehran Stock Exchange. Identification of this relationship can be very useful information in the context of its role in increasing the amount of cash held company. Type of study is applied and the general approach used in this study is correlational descriptive survey. In this study, correlation and regression are used. Considering that keeping cash advantage, therefore, expected to have a significant effect on Firm Performance indicators. However, no correlation was found in this study, but relatively good relationship between the level of cash remains and firm performance is seen.
Complex/cryptic EWSR1::FLI1/ERG Gene Fusions and 1q Jumping Translocation in Pediatric Ewing Sarcomas

Ewing sarcomas (ES) are rare small round cell sarcomas often affecting children and characterized by gene fusions involving one member of the FET family of genes (usually EWSR1) and a member of the ETS family of transcription factors (usually FLI1 or ERG). The detection of EWSR1 rearrangements has important diagnostic value. Here, we conducted a retrospective review of 218 consecutive pediatric ES at diagnosis and found eight patients having data from chromosome analysis, FISH/microarray, and gene-fusion assay. Three of these eight ES had novel complex/cryptic EWSR1 rearrangements/fusions by chromosome analysis. One case had a t(9;11;22)(q22;q24;q12) three-way translocation involving EWSR1::FLI1 fusion and 1q jumping translocation. Two cases had cryptic EWSR1 rearrangements/fusions, including one case with a cryptic t(4;11;22)(q35;q24;q12) three-way translocation involving EWSR1::FLI1 fusion, and the other had a cryptic EWSR1::ERG rearrangement/fusion on an abnormal chromosome 22. All patients in this study had various aneuploidies with a gain of chromosome 8 (75%), the most common, followed by a gain of chromosomes 20 (50%) and 4 (37.5%), respectively. Recognition of complex and/or cryptic EWSR1 gene rearrangements/fusions and other chromosome abnormalities (such as jumping translocation and aneuploidies) using a combination of various genetic methods is important for accurate diagnosis, prognosis, and treatment outcomes of pediatric ES.
Standardized Suicide Prevention Program for Gatekeeper Intervention of North Korean Defectors in South Korea

Objective North Korean defectors (NKDs) have experienced substantial difficulties during the migration and settlement in South Korea. They have a high prevalence of depression, post-traumatic stress disorder, and suicidal behaviors. The high prevalence of mental disorders among NKDs can lead to a high suicide rate. However, there are no suicide prevention programs for NKDs. This study aims to customize a suicide prevention program with content suitable for NKDs’ particular circumstances. Methods A multidisciplinary research team developed this program based on domestic and international gatekeeper training programs for suicide prevention and articles related to suicide prevention. Results We developed a multi-part gatekeeper training program, “Suicide CARE for NKDs. ” In the “Introduction,” trainees learn about the need for the program and its importance. In “Careful observation,” trainees learn to recognize linguistic, behavioral, and situational signals of suicide risk. In “Active listening,” trainees learn how to ask about suicidal thoughts and to listen empathetically. In “Risk evaluation and expert referral,” trainees learn to evaluate suicide risk and to connect NKDs with institutes or services. Conclusion We expect this program to become useful for training gatekeepers to prevent suicide among NKD. A future follow-up study is needed to confirm the efficacy of the program.
Impact of TNF inhibitor medication on working ability in axial spondyloarthritis: an observational national registry-based cohort study

Abstract Objective The aim was to investigate the effect of TNF inhibitor (TNFi) initiation on working ability and health-care resource utilization among axial SpA patients in a real-life setting. Methods Patients with a clinical diagnosis of non-radiographic (nr-axSpA) or radiographic axial SpA initiating their first TNFi were identified from the National Register for Antirheumatic and Biologic Treatment in Finland. Sickness absences, including sick leave and disability pension, in- and outpatient days and rehabilitation rates, 1 year before and after initiating the medication were retrieved from national registries. Factors affecting result variables were studied using multivariate regression analysis. Results Overall, 787 patients were identified. Rates of work disability days per year were 55.6 the year before treatment onset and 55.2 the year after, with significant differences between patient subgroups. The rate of sick leave decreased after starting TNFi treatment. However, the rate of disability pension continued to rise. Patients with a diagnosis of nr-axSpA experienced a decrease in overall work disability and, especially, fewer sick leaves. No sex differences were detected. Conclusion TNFi interrupts the increase in work disabled days evident during the year before its initiation. However, the overall work disability remains high. Treating patients earlier in the nr-axSpA phase, regardless of sex, appears important in maintaining the ability to work.
Precise GPS orbit determination and prediction using H ∞ neural network

Abstract In this paper, I present a method to determine and predict precisely the GPS satellite orbit by using a neural network. The neural network used in this paper is based on the BP (backpropagation) learning algorithm. The BP algorithm is particularly attractive because it is H ∞ optimal. It is a robust algorithm in the sense that small disturbances and modeling errors lead to small estimation errors (For a non‐robust algorithm, such as the classical maximum likelihood and least square methods, it is possible that small disturbances and modeling errors may result in large estimation errors). This is certainly the case for the estimation of the GPS satellite orbit because the satellite orbital model usually contains small disturbances and perturbations that are difficult to model. Currently, the simulation result shows that we can use the well‐trained network to predict about six days’ data and the orbital will can be within a meter. The result is compared with the classical polynomial interpolation method. It is believed that, if we extend the training time, the prediction period can be much longer.