Miracle-dz/UniFAR-FTUs huggingface dataset:
Nonlinear Pólya urn models and self -organizing processes

Nonlinear Polya Urn Models and Self-Organizing Processes Tong Zhu Robin Pemantle, Advisor We consider a class of nonlinear Polya urn models, which are applied to model self-organizing processes. The first two chapters are devoted to a survey of urn models, theories and methods. In the third chapter, we study the nonlinear urns, which show monopoly properties. We found the asymptotic distributions of the minority color and the attraction time. We showed the asymptotic behaviors of the final monopoly stage. Our main method is the exponential embedding. We have also found a simple probabilistic way to prove combinatorial identities involving symmetric functions. In the last part, we introduce the applications of Polya urn models and the future studies.
Measurement of elastic moduli of tissue components in atherosclerotic plaques by ultrasonic phased tracking method

Circulatory diseases such as the myocardial infarction and cerebral infarction are often caused by the rupture of the atherosclerotic plaque. For diagnosis of the vulnerability of the atherosclerotic plaque, it is important to characterize tissue components, which compose the atherosclerotic plaque, because the vulnerability of the atherosclerotic plaque relates to the amount of lipid and thickness of the fibrous cap. For characterization of tissue components in the atherosclerotic plaque, we have developed a new method, namely phased tracking method, to measure the regional elastic modulus of the atherosclerotic plaque using the transcutaneous ultrasound. For diagnosis of the vulnerability of atherosclerotic plaques, the knowledge of the elastic moduli of tissues such as the fibrous tissue and lipid provides useful clinical information. Based on elastic moduli of these tissues, thickness of the fibrous cap and the amount of lipid will be supposed from the in vivo measurement of the elasticity distribution. In this paper, elastic moduli of tissues in the atherosclerotic plaque are investigated from in vitro experiments using the phased tracking method.
Ambient Adaptive Lighting

The concept of adaptive lighting suggests architectural lighting designs that adjust and react to the living practices of inhabitants and variations in the environmental conditions. Current developments in lighting technologies, such as LED light sources and IoT infrastructures, open for new opportunities with adaptive lighting, where the control of the lighting possibly operates as an IoT service rather than build into building management systems. The dynamic flux in lighting changes the experiential presence and brings focus on change and variation rather than states, levels and structures. The suggestion is to enable adaptive intertwinement through an expanded field of dynamic flux in the artificial lighting, and couple between the daylighting and the artificial lighting through an integration of ambient contexts. The project develops experiential prototypes, with which the dynamic design parameters of adaptive lighting can be investigated, analysed and scoped into architectural programming processes. The staging’s are full-scale architectural scenography’s, which situate investigations into how the experience parameters of fluctuating artificial lighting, integrated with daylight flux in an architectural space, are experienced to influence the experience of architectural space, social situations and everyday activities.
Stem Cell Therapy for Sequestration of Traumatic Brain Injury-Induced Inflammation

Traumatic brain injury (TBI) is one of the leading causes of long-term neurological disabilities in the world. TBI is a signature disease for soldiers and veterans, but also affects civilians, including adults and children. Following TBI, the brain resident and immune cells turn into a “reactive” state, characterized by the production of inflammatory mediators that contribute to the development of cognitive deficits. Other injuries to the brain, including radiation exposure, may trigger TBI-like pathology, characterized by inflammation. Currently there are no treatments to prevent or reverse the deleterious consequences of brain trauma. The recognition that TBI predisposes stem cell alterations suggests that stem cell-based therapies stand as a potential treatment for TBI. Here, we discuss the inflamed brain after TBI and radiation injury. We further review the status of stem cells in the inflamed brain and the applications of cell therapy in sequestering inflammation in TBI.
PENGARUH KUALITAS PELAYANAN TERHADAP KEPUASAN PASIEN KLINIK HENNY DENTAL CARE

Kesadaran masyarakat akan kesehatan dan keselamatan diri di masa pandemik COVID-19 cenderung sangat tinggi sehingga penerapan protokol kesehatan telah menjadi kebiasaan yang normal diterapkan setiap saat. Selain itu masyarakat di Indonesia juga semakin cerdas dalam memilih jasa penyedia layanan kesehatan khususnya memilih klinik kesehatan gigi dan mulut yang terbaik dan pelayanannya sesuai dengan diinginkan dan dibutuhkan. Melihat kecenderungan pemilihan tempat layanan kesehatan atau klinik kesehatan gigi dan mulut tersebut maka diperlukan penelitian mengenai pengaruh Kualitas Pelayanan terhadap Kepuasaan Pasien Klinik Henny Dental Care. Teknik pengumpulan data dilakukan dengan cara observasi, wawancara, dan penyebaran kueisoner pada 199 responden. Penelitian ini menggunakan analisis regresi linear berganda, uji asumsi klasik, dan uji hipotesis untuk melihat pengaruh antar variabel. Analisis data diolah menggunakan SPSS versi 23.0. Diperoleh hasil analisis bahwa secara simultan terbukti variabel bukti fisik, kehandalan, daya tanggap, jaminan, dan empati terhadap kepuasan pasien Klinik Henny dental care. Pengujian secara parsial dengan uji t ditemukan bahwa variabel bukti fisik berpengaruh positif dan tidak signifikan terhadap kepuasan pasien sedangkan variabel kehandalan, daya tanggap, jaminan, dan empati berpengaruh positif dan signifikan. Variabel empati mempunyai pengaruh paling dominan terhadap kepuasan pasien.
HMG20A Inhibit Adipogenesis by Transcriptional and Epigenetic Regulation of MEF2C Expression

Obesity and its associated metabolic disease do serious harm to human health. The transcriptional cascade network with transcription factors as the core is the focus of current research on adipogenesis and its mechanism. Previous studies have found that HMG domain protein 20A (HMG20A) is highly expressed in the early stage of adipogenic differentiation of porcine intramuscular fat (IMF), which may be involved in regulating adipogenesis. In this study, HMG20A was found to play a key negative regulatory role in adipogenesis. Gain- and loss-of-function studies revealed that HMG20A inhibited the differentiation of SVF cells and C3H10T1/2 cells into mature adipocytes. RNA-seq was used to screen differentially expressed genes after HMG20A knockdown. qRT-PCR and ChIP-PCR confirmed that MEF2C was the real target of HMG20A, and HMG20A played a negative regulatory role through MEF2C. HMG20A binding protein LSD1 was found to alleviate the inhibitory effect of HMG20A on adipogenesis. Further studies showed that HMG20A could cooperate with LSD1 to increase the H3K4me2 of the MEF2C promoter and then increase the expression of MEF2C. Collectively, these findings highlight a role for HMG20A-dependent transcriptional and epigenetic regulation in adipogenesis.
Blockchain based security protocol for device to device secure communication in internet of things networks

The internet of things (IoT) is now advancing at a tremendous pace. Devices in the IoT can connect and communicate in a fully autonomous mode. Because of its autonomy and numerous infractions of security policies, the IoT network is subject to various security risks. However, because of this autonomy, dependable security and storage mechanisms for authentication to share data across IoT devices are essential. Furthermore, since it has initially been popularized in Bitcoin, blockchain development has accelerated. Blockchain can be used to solve security challenges in the IoT. Making secure communication between IoT devices is one approach to accomplish this. To address this issue, we present an effective technique for intranetwork and internetwork device‐to‐device secure communication that enables IoT device identification and authentication while also providing secure communication in an open environment. The method also provides data integrity in addition to authentication and secure communication. We have presented informal security analysis, which confirms that there is no important security threats in our protocol. The performance of the protocol is also better in comparison with previously published papers.
Characterization and expression of the gene glucose transporter 2 (GLUT2) in embryonic, larval and adult Bay snook Petenia splendida (Cichliformes: Cichlidae)

Abstract Bay snook (Petenia splendida) is a carnivorous cichlid species with excellent economic value in Southeast Mexico. Although this species presents an excellent potential for commercial aquaculture, the information about its nutritional, physiological, and reproductive metabolic pathways is meager. The current study focuses on the expression of glucose transporter 2 (glut2) in embryos and larvae at 5, 10, 15-, 20-, 25-, and 30-days post-hatch (dph) and in the liver, intestine, kidney, muscle, heart, testicle, gill, stomach, pancreas, and brain of adult fish. The partial sequence of glut2 was obtained, and specific qPCR primers were designed. In embryos, the expression was lower compared to larvae at 5, 15, and 20 dph. The highest expression in larvae occurred at 20 dph and the lowest at 25 and 30 dph. Maximum expression levels in adults occurred in the liver and intestine. Our results show that glut2 is expressed differentially across tissues of adult bay snook, and it fluctuates during larval development.
Psychosocial Correlates of Insomnia Among College Students

Introduction Among college students, insomnia remains a topic of research focus, especially as it pertains to its correlates and the extent of its association with mental conditions. This study aimed to shed light on the chief predictors of insomnia among college students. Methods A cross-sectional survey on a convenience sample of college students (aged ≥18 years) at 2 large midwestern universities was conducted from March 18 through August 23, 2019. All participants were administered validated screening instruments used to screen for insomnia, depression, and attention deficit hyperactivity disorder (ADHD). Insomnia correlates were identified by using multivariate logistic regression. Results Overall, 26.4% of students experienced insomnia; 41.2% and 15.8% had depression and had ADHD symptoms, respectively. Students with depression (adjusted odds ratio, 9.54; 95% CI, 4.50–20.26) and students with ADHD (adjusted odds ratio, 3.48; 95% CI, 1.48–8.19) had significantly higher odds of insomnia. The odds of insomnia were also significantly higher among employed students (odds ratio, 2.10; 95% CI, 1.05–4.18). Conclusion This study showed an association between insomnia and mental health conditions among college students. Policy efforts should be directed toward primary and secondary prevention programs that enforce sleep education interventions, particularly among employed college students and those with mental illnesses.
Managing Pregnant Women with Hemophilia and von Willebrand Disease: How Do We Provide Optimum Care and Prevent Complications?

Abstract The challenge of pregnancy can be significant to the point of being life-threatening in a woman with a bleeding disorder. Additionally there can be a risk to the fetus and the neonate. A hemostatic defect can affect the course of the pregnancy, but the impact is most feared around delivery in the immediate and the extended post partum period, requiring rapid identification and prompt referral to a hematologist for assistance in management. Identifying the type of congenital bleeding disorder and knowing its inheritance pattern is crucial during counseling prior to conception and in preparation for delivery. A comprehensive approach by a specialized and experienced team in a tertiary care center with access to adequate laboratory monitoring and therapies can facilitate the process. The multidisciplinary team should include a hematologist, an obstetrician, a pediatric hematologist, an anesthesiologist, and in select cases a clinical geneticist and a maternal fetal medicine specialist. In this review article, we will detail the diagnostic path and management of pregnancy and delivery in women with some inherited bleeding disorders, in particular those affected by hemophilia A (HA), hemophilia B (HB), and von Willebrand disease (VWD).
Shareholder networks of university spinoff companies: firm development and regional characteristics

ABSTRACT This paper contributes to the understanding of university spinoff (USO) development by analysing structural properties of their shareholder networks over time and across different regions. Theoretically, we propose a new stage-based typology of USO development across regions. Empirically, the study utilises a sample of 1033 academic spinoffs founded by 87 universities across 12 unitary regions in the UK considering the diversity of spatial contexts in the USO development. We undertake a social network analysis of relations USOs form with their parent universities and shareholders by adopting ‘betweenness centrality’ and ‘structural holes’ as two key measures. By employing this novel network-based view of firm development across regions, this study builds on the development model of USOs by identifying three key phases of USO development: (1) organisation phase, (2) exploitation phase, and (3) maturity and reorganisation phase. Second, we observe differences in USOs in terms of shareholder network development across diverse regional contexts. We propose a novel typology of entrepreneurial regions to better understand the diverse spatiality of USOs: peripheral lock-in, entrepreneurial periphery, rigid core, and entrepreneurial core. We call for further research to capture the long-term development and variable growth paths of USOs.
The pathogenetic role of some cytokines in the development and course of various clinical forms of urinary tract infections in children

Background. The purpose of the research: to study the content of interleukin-6 and interleukin-15 cytokines in the blood serum of children with urinary tract infection and to establish their pathogenetic role in the development of various clinical forms of the disease. Materials and methods. The study groups consisted of 84 children (mean age of 10.0 ± 1.3 years). The main group was divided into subgroups: the first one — 17 children with acute pyelonephritis, the second — 21 patients with chronic pyelonephritis, the third — 16 children with acute cystitis, the fourth subgroup — 10 patients with unspecified urinary tract infections. The control group included 20 relatively healthy children. The content of interleukin-6 and interleukin-15 was evaluated by enzyme-linked immunosorbent assay. Results. It was established that the development of acute urinary tract infections was accompanied by a high level of serum pro-inflammatory interleukin-6. We found the highest level in children with cystitis, which exceeded that of the control group by 2.8 times (р < 0.01). In children with acute pyelonephritis, this cytokine was 1.8 times higher (р < 0.05). However, patients with chronic pyelonephritis had only a tendency towards its increase (p > 0.05). Interleukin-15 in the main group was statistically higher than in controls (р < 0.05). In children of subgroups 3 and 4, its level did not differ from that of the control group (p > 0.05). However, in subgroups 1 (р < 0.05) and 2 (р < 0.01), we observed a statistically significant increase in interleukin-15 level. A direct correlation between interleukin-15 content and disease duration (r = 0.64, р < 0.05) was also found. Conclusions. The development of an acute inflammatory process in the urinary tract in children occurs against the background of a marked increase in the expression of interleukin-6, while a chronic inflammatory process develops with a statistically significant increase in the level of interleukin-15 in blood serum.
Uniruled projective manifolds with irreducible reductive G-structures.

We will call a G-structure modeled after a compact irreducible Hermitian Symmetrie space S of rank ^ 2, an S-structure. (See section 3 or [KO] for a precise definition. Note that our S-structure is called G(S)-structure in [KO]. ) Such structures were studied by many authors in the 60's (see [Oc] and the references there). From the 80's, they were studied by people working on twistor theory (see [Ba], [Ma] and the references there). When one studies these works, what is rather amazing, at least to the authors, is the lack of a nonflat example among compact manifolds. One may even expect that 5-structures are always flat under mild conditions. One result along this line is
Neuroprotective Agents: A Simple Overview

Neuroprotective agents are medications that can alter the course of metabolic events and have neuroprotective function. Neuroprotective agents are needed in patients undergoing a surgical procedure and clinical conditions that correspond with the central nervous system (CNS); also, in intensive care, the neuroprotective agents are often used to prevent complications and patient deterioration. Over the years, there is still no clear understanding of the potential for neuroprotection and the interactions between various drugs that serve a crucial role in anesthetic care and critical illness. This literature review will discuss further the mechanism of neuronal damage and various neuroprotective agents.
A differential geometric setting for dynamic equivalence and dynamic linearization

This paper presents an (infinite dimensional) geometric framework for control system, based on infinite jet bundles, where a system is represented by a single vector field and dynamic equivalence (to be precise : equivalence by endogenous dynamic feedback) is conjugation by diffeomorphisms. These diffeomorphisms are very much related to Lie-Backlund transformations. It is proved in this framework that dynamic equivalence of single-input systems is the same as static equivalence. NB: this paper is followed by "Infinitesimal Brunovsky form for nonlinear systems with applications to dynamic linearization", by E. Aranda-Bricaire, C. H. Moog and J.-B. Pomet, published in the same 1995 volume, which is its natural follow-up. This is a corrected version of the reports http://hal.inria. fr/inria-00074360 and http://hal.inria. fr/inria-00074361.
Temperature dependence of the E2 and A1(LO) phonons in GaN and AlN

The frequencies and dampings of the zone-center optical phonons E2 and A1(LO) in wurtzite-type GaN and AlN layers have been measured by Raman spectroscopy in the temperature range from 85 to 760 K. The GaN layer was grown by metalorganic vapor phase epitaxy and the AlN layer by molecular beam epitaxy both on sapphire substrate. The experimentally obtained frequencies and dampings are modeled by a theory taking into account the thermal expansion of the lattice, a symmetric decay of the optical phonons into two and three phonons of lower energy, and the strain in the layers induced by the different thermal expansion coefficients of layer and substrate. The results were used to determine the local temperature of a GaN pn diode in dependence on the applied voltage.
Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images

Deep learning-based segmentation of very high-resolution (VHR) satellite images is a significant task providing valuable information for various geospatial applications, specifically for land use/land cover (LULC) mapping. The segmentation task becomes more challenging with the increasing number and complexity of LULC classes. In this research, we generated a new benchmark dataset from VHR Worldview-3 images for twelve distinct LULC classes of two different geographical locations. We evaluated the performance of different segmentation architectures and encoders to find the best design to create highly accurate LULC maps. Our results showed that the DeepLabv3+ architecture with an ResNeXt50 encoder achieved the best performance for different metric values with an IoU of 89.46%, an F-1 score of 94.35%, a precision of 94.25%, and a recall of 94.49%. This design could be used by other researchers for LULC mapping of similar classes from different satellite images or for different geographical regions. Moreover, our benchmark dataset can be used as a reference for implementing new segmentation models via supervised, semi- or weakly-supervised deep learning models. In addition, our model results can be used for transfer learning and generalizability of different methodologies.
Variants of Ahlfors' lemma and properties of the logarithmic potentials

As a special class of conformal metrics with negative curvatures, SK-metrics play a crucial role in metric spaces. This paper concerns the variants of Ahlfors' lemma in an SK-metric space and gives a higher order derivative formula for the logarithmic potential function, which can be applied for the estimates near the singularity of a conformal metric with negative curvatures.
Editorial: The measurement of progress—some achievements and challenges

Economists working on national income have long cautioned that gross domestic product and other money indicators of economic activity are not good measures of human welfare. National income is usually measured in three equivalent ways based on total consumer expenditure, the value of aggregate company sales or the costs of inputs, but there is a growing global consensus among experts and political leaders for the need to broaden concepts and measurements so that they include the wellbeing outcomes that we hope increased economic activity will deliver (Giovannini et al., 2009). The UK’s current work to reinforce its measures of human wellbeing, led by the Office for National Statistics, is among the latest in a series of related national and international sea change initiatives which make it timely to take stock. Here, we do so by looking briefly at the capabilities approach as the intellectual framework at the centre of recent international developments before identifying some themes and challenges in this area of statistical practice.
A Displacement-Based TMR-Type Accelerometer for a High Sensitivity With a Wide Detection Range

A displacement-based accelerometer is proposed by a tunnel magnetoresistance (TMR) integrated with a parallel beam and an electromagnetic force negative feedback unit. A high sensitivity with a wide detection range can be achieved and adjusted by the proposed accelerometer. A fabricated prototype, comprised of a TMR, one pair of parallel beam spring oscillator, and a permanent magnet, to sense the variation of the magnetic field caused by the external acceleration, is constructed to demonstrate the proposed displacement-based acceleration sensing mechanism. Compared with the state of the art, a high sensitivity up to 730 mV/g in a range of [−2, 4 g] is obtained. Compared with a displacement-based capacitance-type one, there are more rooms, including but not limited to high-performance TMR, parallel beam amplification, and advanced magnets, for structural optimization and performance improvement with the proposed displacement-based TMR-type accelerometer. This work is believed to be of great significance for promoting the research and development of displacement-based accelerometers and their related applications.