Miracle-dz/UniFAR-FTUs huggingface dataset:
Distributed Nash Equilibrium Seeking: Continuous-Time Control-Theoretic Approaches

Game theory, which studies the cooperation and conflict among multiple rational decision makers, called players, can be utilized to analyze a large class of engineering systems (for example, wireless communication networks and smart grids). A game usually consists of three components: the players; the players’ actions; and their objective functions, which the players try to either maximize (in which case the objective function is known as a utility or payoff function) or minimize (in which case the objective function is referred to as a cost or loss function). In general, the players’ objective functions are dependent on other players’ actions, which lead to the coupling between the players’ actions in the decision-making process. This article is concerned with static games, where the order of the players’ decisions is not important (see “Summary”).
Traducción automática de un conjunto de entrenamiento para extracción semántica de relaciones

La traducción automática (TA) se utiliza para obtener corpus anotados a partir de corpus provenientes del idioma inglés, los cuales pueden ser aplicables a diferentes tareas de procesamiento de lenguaje natural (PLN). Teniendo en cuenta que existen más recursos o conjuntos de datos para entrenamiento de modelos de PLN en idioma inglés, en este trabajo se explora la aplicación de la TA para automatizar tareas de PLN en el idioma español. De esta forma, en el artículo se describe un conjunto dedatos para la extracción de relaciones genéricas (reACE) y la construcción de un modelo extracción semántica de relaciones en español (ER), basado en el conjunto de muestras traducidas del idioma inglés al español. Los resultados muestran que para la tarea de TA es necesario implementar un proceso de preedición del corpus en inglés, con el fin de evitar errores de traducción, posedición y mantener las anotaciones del corpus original. Los modelos ER en español alcanzan medidas de precisión,exhaustividad y valor-F comparables con las obtenidas por el modelo en el lenguaje de inglés, lo que sugiere que la traducción automática es una herramienta útil pararealizar tareas de PLN en el idioma español
Alteration of the Oligodendrocyte Lineage Varies According to the Systemic Inflammatory Stimulus in Animal Models That Mimic the Encephalopathy of Prematurity

Preterm birth before the gestational age of 32 weeks is associated with the occurrence of specific white matter damage (WMD) that can compromise the neurological outcome. These white matter abnormalities are embedded in more global brain damage defining the encephalopathy of prematurity (EoP). A global reduction in white matter volume that corresponds to chronic diffuse WMD is the most frequent form in contemporary cohorts of very preterm infants. This WMD partly results from alterations of the oligodendrocyte (OL) lineage during the vulnerability window preceding the beginning of brain myelination. The occurrence of prenatal, perinatal and postnatal events in addition to preterm birth is related to the intensity of WMD. Systemic inflammation is widely recognised as a risk factor of WMD in humans and in animal models. This review reports the OL lineage alterations associated with the WMD observed in infants suffering from EoP and emphasizes the role of systemic inflammation in inducing these alterations. This issue is addressed through data on human tissue and imaging, and through neonatal animal models that use systemic inflammation to induce WMD. Interestingly, the OL lineage damage varies according to the inflammatory stimulus, i.e., the liposaccharide portion of the E.Coli membrane (LPS) or the proinflammatory cytokine Interleukin-1β (IL-1β). This discrepancy reveals multiple cellular pathways inducible by inflammation that result in EoP. Variable long-term consequences on the white matter morphology and functioning may be speculated upon according to the intensity of the inflammatory challenge. This hypothesis emerges from this review and requires further exploration.
The functions of long noncoding RNAs on regulation of F-box proteins in tumorigenesis and progression

Accumulated evidence has revealed that F-box protein, a subunit of SCF E3 ubiquitin ligase complexes, participates in carcinogenesis and tumor progression via targeting its substrates for ubiquitination and degradation. F-box proteins could be regulated by cellular signaling pathways and noncoding RNAs in tumorigenesis. Long noncoding RNA (lncRNA), one type of noncoding RNAs, has been identified to modulate the expression of F-box proteins and contribute to oncogenesis. In this review, we summarize the role and mechanisms of multiple lncRNAs in regulating F-box proteins in tumorigenesis, including lncRNAs SLC7A11-AS1, MT1JP, TUG1, FER1L4, TTN-AS1, CASC2, MALAT1, TINCR, PCGEM1, linc01436, linc00494, GATA6-AS1, and ODIR1. Moreover, we discuss that targeting these lncRNAs could be helpful for treating cancer via modulating F-box protein expression. We hope our review can stimulate the research on exploration of molecular insight into how F-box proteins are governed in carcinogenesis. Therefore, modulation of lncRNAs is a potential therapeutic strategy for cancer therapy via regulation of F-box proteins.
Comments on evaluation of 26 Al Electron-Capture and Positron Decay Data

The Limitation of Relative Statistical Weight [2] (LWM) method, used for averaging numbers throughout this evaluation, provided a uniform approach for the analysis of discrepant data. The uncertainty assigned to the recommended values was always greater than or equal to the smallest uncertainty of the values used to calculate the average.
Standardized protocol for hip fracture care leads to similar short-term outcomes despite socioeconomic differences in patient populations: a retrospective cohort study

Background: Socioeconomic status is known to influence outcomes in healthcare. This study compares hip fracture care in patients of different socioeconomic status. Methods: A retrospective study of hip fracture patients over the age 65 with hip fracture who received operative care by a single surgeon was undertaken at an academic level 1 trauma center (county group, n=47) and two private tertiary care hospitals (private group, n=78). A standardized hip fracture protocol was initiated for all patients upon admission with the goal of operative management in less than 48 hr. Time-to-surgery, length of stay, and short-term postoperative complications were compared between groups. Results: Patients from the county hospital, which serves a low socioeconomic population, were largely nonwhite (93.6%) with 12.8% uninsured, whereas 32.1% of private patients were nonwhite, and all were insured. County patients had a longer time from presentation to surgery compared with private patients (30.5 hr vs 21.7 hr, respectively, P=0.003). Length of stay was equivalent between county and private patients (8.0 days vs 7.2 days, respectively, P=0.060). There was no significant difference in the rate of complications between county versus private groups (21.3% vs. 21.8%, respectively, P=0.946). Difference in 30-day mortality was not statistically significant (8.5% county vs. 3.9% private, respectively, P=0.424). No risk factors were associated with significantly increased risk of complications with logistic regression analysis. Conclusions: There was a similar length of stay, complication rate, and mortality rate after hip fracture surgery despite demographic differences between the groups. A fragility fracture protocol can lead to similar outcomes in patients of differing demographics and insurance payor mixes. Level of Evidence: Level III.
Application of Artificial Neural Network with Various Algorithms Tools in Numerous Sectors – A Review

This study reports collective information of the Artificial Neural Network-(ANN) model implemented to improve the management and provide suggestions to the government and corporates. The ANN tool is an awesome architect model that helps collect a high volume of information from independent such as civilians, input parameters in manufacturing, etc to dependent such as government, corporates, machinery, etc. The ANN model has various architect tools that help to regulate and monitor the demand for government and the public through the weighted link, like brain neurons. It’s an optimized computation study to predict less uncertainty than experimental values. This literature study reports diverse methods of algorithms available in ANN models and briefly disseminated the procedure specifically to collect a high volume of inputs transferred to hidden neurons and passed to output terminal neurons with accurate solutions to the enhancement of government decision making. Besides, the ANN is a perfect substitute tool for experimental and numerical analysis procedures to reduce high expenses for collecting data in high volume. This literature report briefly disseminates different methods of ANN tools implemented in various applications with significant conclusions, considering many techniques for collecting data and suggestions provided for future research work.
Influence of the AlSi7Mg0.6 Aluminium Alloy Powder Reuse on the Quality and Mechanical Properties of LPBF Samples

Additive manufacturing (AM) is dynamically developing and finding applications in different industries. The quality of input material is a part of the process and of the final product quality. That is why understanding the influence of powder reuse on the properties of bulk specimens is crucial for ensuring the repeatable AM process chain. The presented study investigated the possibility of continuous reuse of AlSi7Mg0.6 powder in the laser powder bed fusion process (LPBF). To date, there is no study of AlSi7Mg0.6 powder reuse in the LPBF process to be found in the literature. This study aims to respond to this gap. The five batches of AlSi7Mg0.6 powder and five bulk LPBF samples series were characterised using different techniques. The following characteristics of powders were analysed: the powder size distribution (PSD), the morphology (scanning electron microscopy—SEM), the flowability (rotating drum analysis), and laser light absorption (spectrophotometry). Bulk samples were characterised for microstructure (SEM), chemical composition (X-ray fluorescence spectrometry—XRF), porosity (computed tomography—CT) and mechanical properties (tensile, hardness). The powder was reused in subsequent processes without adding (recycling/rejuvenation) virgin powder (collective ageing powder reuse strategy). All tested powders (powders P0–P4) and bulk samples (series S0–S3) show repeatable properties, with changes observed within error limits. Samples manufactured within the fifth reuse cycle (series S4) showed some mean value changes of measured characteristics indicating initial degradation. However, these changes also mostly fit within error limits. Therefore, the collective ageing powder reuse strategy is considered to give repeatable LPBF process results and is recommended for the AlSi7Mg0.6 alloy within at least five consecutive LPBF processes.
Anger without a voice, anger without a solution: Parent–child triadic processes and the experience of caring for a child with a diagnosis of autism

The paper offers an exploration of triadic attachment dynamics in families with a child with a diagnosis of autism. The Meaning of the Child (MotC) framework was employed as part of a multiple case study design with 18 parents (9 couples) in order to examine their representation of parenting and relationship with their child. The MotC analysis employed concepts of parental sensitivity, mentalisation and reflective functioning, and a triadic, analysis was added to consider the family relational processes. The findings indicate that the parents were significantly influenced by the use of a dominant ‘autism discourse’. ‘Autism’ in their child presented a severe challenge for them and could foster a sense of disempowerment and emotional withdrawal. Locating the difficulties as reflecting ‘autism’ could also serve to detour conflicts between the parents, and in the parents themselves, trapping the family in unresolved anger or fear that could neither be named nor its impact addressed. Autism discourse tended to rob the actions of family members of interpersonal meaning, rendering conflict fixed and unalterable and requiring them to mask the deep feelings inherent in these relational ruptures. The analysis included an exploration of the parents’ own childhood attachment histories which revealed that the parents were also driven by corrective scripts in wishing to form better relationships with their child than had been their own childhood experiences of parenting. A sense of failure to achieve these added to their sense of disappointment and frustration, but also indicated potential avenues for positive changes and growth.
The Effects of Authentic Learning Practices on Problem-Solving Skills and Attitude towards Science Courses

This study aims to investigate the effects of authentic learning methods — applied in science courses — on the problem-solving skills and attitudes towards those courses. As a research design, a quasi-experimental design with pre-test and post-test control groups was used in the study. The data of the study were collected from 92 students at the level of 6th grade in Van, Turkey in the 2017-2018 academic year. As data collection tools, the Problem-Solving Skills Test and Science Attitude Scale were used throughout the study. During the data analysis phase, descriptive statistics, one-factor analysis of variance for unrelated samples, t-test for related samples, Kruskal Wallis-H and Wilcoxon Signed Rank Test were used. As a result of the study, it was realised that there was a significant difference between the experimental group and control groups' problem-solving skills total scores in favour of the experimental group. Furthermore, it was ascertained that authentic learning practices improved the problem-solving skills of the experimental group students to a significant extent. In terms of attitude points towards science, it was determined that the post-test scores of the experimental group were significantly higher than the control groups and authentic learning practices had a positive effect on attitude.
4D Printed Multifunctional Composites with Cooling‐Rate Mediated Tunable Shape Morphing

Multifunctional composites can accomplish multiple tasks such as shape morphing, sensing, and load bearing using a single structure. Smart materials including liquid crystal elastomers (LCE) and shape memory polymers (SMP) have long been used as the primary components of multifunctional composites because of their shape and property changes in response to external stimuli. However, LCEs can generate rapid and reversible shape changes but are soft and require a constant temperature to retain their deformed shape; SMPs have favorable mechanical properties but few can achieve reversible actuations. Moreover, both LCEs and SMPs have limited capability for tunable shape morphing. Multi‐material 3D printing of smart materials, also known as 4D printing, has seen significant advances enabling the fabrication of composites with novel functionality. In this work, 4D printing is leveraged to create an LCE‐SMP composite that can achieve not only rapid and reversible shape changes, but also cooling‐rate regulated tunable shape morphing. The latter is achieved by harnessing the distinct time‐dependent thermomechanical properties of LCEs and SMPs. Furthermore, the composite has a high stiffness at low temperature to support heavy loads. The LCE‐SMP composite hence offers a novel approach to achieve tunable shape morphing for future engineering applications.
Management of a rare ovarian carcinosarcoma: A case report and literature review

Ovarian carcinosarcoma (OCS) is a rare and lethal gynecological cancer. The present study reports on the case of a 61-year-old post-menopausal female with abdominal distension who was detected to have a large OCS. The patient underwent cytoreductive surgery, including sub-extensive hysterectomy, bilateral adnexectomy, sigmoid colon and partial rectal resection, and lymph node dissection. Postoperative pathology of the bilateral adnexal masses revealed carcinosarcoma. The main components of the carcinoma included serous carcinoma and a small amount of squamous cell carcinoma. The sarcoma components mainly contained fibrosarcoma, as well as a small amount of chondrosarcoma and rhabdomyosarcoma. Infiltrating cells in cancer tissues or metastasis were observed in the serosal surface, muscular and subserosal layers of the uterus, as well as the sigmoid colon and part of the rectum. The patient was diagnosed postoperatively with International Federation of Gynecology and Obstetrics stage IIIC ovarian carcinosarcoma and T3cN1M0 based on the TNM system. The patient then received six cycles of combination chemotherapy using carboplatin, paclitaxel plus bevacizumab. As severe myelosuppression occurred during and after chemotherapy, and bevacizumab was expensive, bevacizumab therapy was not maintained after chemotherapy. However, following chemotherapy, the patient received niraparib oral maintenance therapy. At 6 months after the sixth chemotherapy, cancer antigen 125 levels dropped to 4.55 U/ml (within normal range). Short-term follow-up of 6 months after the end of chemotherapy indicated that the patient had a remission prognosis based on the ultrasonography, computed tomography, magnetic resonance imaging examinations and serum tumor marker levels. The present study indicated that combined chemotherapy and targeted therapy after cytoreductive surgery may be a promising way for the treatment of OCS.
Shifts in Soil Microbial Community Composition, Function, and Co-occurrence Network of Phragmites australis in the Yellow River Delta

Soil microorganisms play vital roles in regulating biogeochemical processes. The composition and function of soil microbial community have been well studied, but little is known about the responses of bacterial and fungal communities to different habitats of the same plant, especially the inter-kingdom co-occurrence pattern including bacteria and fungi. Herein, we used high-throughput sequencing to investigate the bacterial and fungal communities of five Phragmites australis habitats in the Yellow River Delta and constructed their inter-kingdom interaction network by network analysis. The results showed that richness did not differ significantly among habitats for either the bacterial or fungal communities. The distribution of soil bacterial community was significantly affected by soil physicochemical properties, whereas that of the fungal community was not. The main functions of the bacterial and fungal communities were to participate in the degradation of organic matter and element cycling, both of which were significantly affected by soil physicochemical properties. Network analysis revealed that bacteria and fungi participated in the formation of networks through positive interactions; the role of intra-kingdom interactions were more important than inter-kingdom interactions. In addition, rare species acted as keystones played a critical role in maintaining the network structure, while NO3−−N likely played an important role in maintaining the network topological properties. Our findings provided insights into the inter-kingdom microbial co-occurrence network and response of the soil microbial community composition and function to different P. australis habitats in coastal wetlands, which will deepen our insights into microbial community assembly in coastal wetlands.
Dedifferentiated Schwann cell-derived TGF-β3 is essential for the neural system to promote wound healing

Rationale: Wound healing is among the most complicated physiological processes and requires the synchronization of various cell types with distinct roles to re-establish the condition of the original skin. Patients affected by peripheral neuropathies often experience failure to heal. Loss of Schwann cells (SCs), a crucial population of peripheral nervous system cells in skin, may contribute to chronic wounds. However, the role of SCs in wound healing are poorly understood. Methods: The activity of SCs was investigated by using a cell atlas of the wound healing process, which was generated by integrating single-cell RNA sequencing (scRNA-seq) libraries covering different states of mouse back skin. The results of in silico analysis were validated by in vitro cell culture and in vivo mouse model. Selective inhibitors and conditional RNAi by virus transfection were utilized to investigate the role of SCs in wound healing. Findings from mouse experiments were further verified in scRNA-seq analysis of diabetic patients. Results: Our in silico analysis revealed the heterogeneous cellular components of skin and the dynamic interactions of neural crest derived cells (NCs) with other cell types. We found that SCs dedifferentiated at an early stage of wound repair with upregulated Wnt signaling. We also identified dedifferentiated SC (dSC) defect in diabetic wounds in both mouse and human. Wnt inhibition at the wound site repressed SC dedifferentiation, leading to defective repair. Furthermore, dSCs derived TGF-β3, which is context-dependent, promoted the migration of fibroblasts and keratinocytes. Moreover, TGF-β3 supplementation enhanced the healing of chronic wounds in diabetic mice with impaired SCs. Conclusion: Our study thus advances the understanding of the roles of neural-derived cells in skin regeneration and suggests a potential therapeutic strategy for wound healing disorders.
Doctor Who? The Effect of Physician-Patient Match on The SES-Health Gradient

Health disparities across socioeconomic groups are growing in developed economies. We evaluate the causal effects of concordance, in terms of socio-economic status (SES), between primary care physicians and patients on the health-SES gradient. To measure physicians’ socio-economic background, we use the highest level of education of physicians’ parents. We find that, while the mortality of high-SES patients does not depend on their physician’s family background, SES concordance between physicians and patients decreases low-SES patients’ mortality substantially, resulting in a reduction in the SES-mortality gradient. The effect is driven by a large decline in cardiovascular mortality, especially for men. SES concordance improves low-SES patients’ health by increasing care at the intensive margin, increasing detection of chronic conditions, and improving adherence to treatment. One potential mechanism is that physicians from low-SES families are more familiar with low-SES patients’ medical needs in communication and treatment. In support of this mechanism, we find that low-SES physicians with family members who have had chronic conditions are better at treating low-SES patients, but that effect is not driven by low-SES physicians being better at treating less-healthy patients. JEL Codes: I12, I14, J62 ∗We are grateful for support and guidance from Jeffrey Clemens, Julie Cullen, Janet Currie, Gordon Dahl, Itzik Fadlon, Kate Ho, Emilia Simeonova, Torben Heien Nielsen, Miriam Wüst, Søren LethPetersen, Esteban Garćıa-Miralles, and Joaquim Vidiella-Martin. We would also like to thank participants at the CEBI lunch seminar and the participants at the UCSD applied lunch seminar for their constructive feedback. We gratefully acknowledge support from the Center for Economic Behavior and Inequality (CEBI) at the University of Copenhagen, financed by grant number DNRF134 from the Danish National Research Foundation, as well as from the Danish Independent Research Fund (grant no. 9061-00035B). Corresponding author: Ida Lykke Kristiansen, ilk@econ.ku. dk Øster Farimagsgade 5, building 26, 1353 København K. ; Sophie Yanying Sheng, sophie.ysheng@gmail.com.