Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring the User Interaction Network in an Anxiety Disorder Online Community: An Exponential Random Graph Model with Topical and Emotional Effects

The increasing number of people with anxiety disorders presents challenges when gathering health information. Users in anxiety disorder online communities (ADOCs) share and obtain a variety of health information, such as treatment experience, drug efficacy, and emotional support. This interaction alleviates the difficulties involved in obtaining health information. Users engage in community interaction via posts, comments, and replies, which promotes the development of an online community as well as the wellbeing of community users, and research concerning the formation mechanism of the user interaction network in ADOCs could be beneficial to users. Taking the Anxiety Disorder Post Bar as the research object, this study constructed an ADOC user interaction network based on users’ posts, comments, and personal information data. With the help of exponential random graph models (ERGMs), we studied the effects of the network structure, user attributes, topics, and emotional intensity on user interaction networks. We found that there was significant reciprocity in the user interaction network in ADOCs. In terms of user attributes, gender homogeneity had no impact on the formation of the user interaction network. Experienced users in the community had obvious advantages, and experienced users could obtain replies more easily from other members. In terms of topics, pathology popularization showed obvious homogeneity, and symptoms of generalized anxiety disorder showed obvious heterogeneity. In terms of emotional intensity, users with polarized emotions were more likely to receive replies from users with positive emotions. The probability of interaction between two users with negative emotions was small, and users with opposite emotional polarity tended to interact, especially when the interaction was initiated by users with positive emotions.
Three-Dimensional Numerical Simulation of Ship Resistance in Restricted Waterways: Effect of Ship Sinkage and Channel Restriction

AbstractA three-dimensional (3D) hydrodynamic numerical model is proposed to predict ship resistance and sinkage of an inland vessel sailing in restricted waterways. The flow around the ship is simulated, and the hydrodynamic forces acting on the hull are calculated. A quasi-Newton method is applied to find the vertical equilibrium position and to update the ship position. The numerical results are validated against experimental data and compared with empirical models. The effects of ship sinkage and channel restriction on ship resistance are also investigated. Including ship sinkage into the calculations significantly increases the model accuracy. Additionally, the empirical models tested in this study are not able to accurately predict ship resistance for the most restricted configurations. Finally, it is shown that ship resistance is more sensitive to water depth than channel width restriction.
From Theory to Large‐Scale Simulations, or Living Without “The Paradox of Choice”

Navigating the challenges we face at work and in life is often difficult, and can even make us question our past decisions. This dilemma is even worse nowadays because of the many options available to us, leaving us not enough time to explore them all: the paradox of choice. My life experience offers another perspective on how to make choices; wherein I had to rely more on serendipity, coincidence, and embracing risks. This paper presents a brief description of my career path in space science—from a small village in the countryside to one of the top science Laboratories in the world—and lessons learned through the process of becoming a more resilient scientist. I came to the United States from Bulgaria about 30 years ago, seeking a better education and job opportunities. Navigating a career of research scientist, not only did I find jobs that motivated me every day, I also met amazing people to work with along the way. As a woman in science, I hope my story can inspire and attract young researchers (girls and boys alike) to our community, helping to grow and diversify the next generation of space scientists.
Heterogeneity of In Vitro Expanded Mesenchymal Stromal Cells and Strategies to Improve Their Therapeutic Actions

Beneficial properties of mesenchymal stromal cells (MSCs) have prompted their use in preclinical and clinical research. Accumulating evidence has been provided for the therapeutic effects of MSCs in several pathologies, including neurodegenerative diseases, myocardial infarction, skin problems, liver disorders and cancer, among others. Although MSCs are found in multiple tissues, the number of MSCs is low, making in vitro expansion a required step before MSC application. However, culture-expanded MSCs exhibit notable differences in terms of cell morphology, physiology and function, which decisively contribute to MSC heterogeneity. The changes induced in MSCs during in vitro expansion may account for the variability in the results obtained in different MSC-based therapy studies, including those using MSCs as living drug delivery systems. This review dissects the different changes that occur in culture-expanded MSCs and how these modifications alter their therapeutic properties after transplantation. Furthermore, we discuss the current strategies developed to improve the beneficial effects of MSCs for successful clinical implementation, as well as potential therapeutic alternatives.
Sensors for Measuring the Polarized State of a Beam

We have throughout the earlier chapters made the assumption that we could observe and record the polarized state of the EM energy reaching a sensor. In this chapter we will present some of the basic methods for sensing polarized radiation. We begin with simple intuitive approaches (Sec. 8.1) and then introduce full Stokes vector sensors in Sec. 8.2. Section 8.3 extends the principles of the first two sections to imaging sensors, which are of the most interest for direct remote sensing applications. Finally in Sec. 8.4, we introduce some of the sensor-related issues associated with polarimetric imaging for remote sensing. Throughout this chapter we emphasize the general issues of sensing as they relate to understanding the nature of the remotely sensed signal. The details of sensors and sensor design are beyond the scope of this treatment, so for a more thorough treatment the reader should consult the references for this chapter and the current literature. 8.1 Sensing of Polarization Contrast For cases where linear polarization dominates the polarized portion of a partially polarized beam, it is possible to use very simple methods to capture some of the polarimetric character of the signal. Consider the case shown in Fig. 8.1 (a) of partially polarized flux incident on an extremely simple sensor. The sensor is made up of a linear polarizer followed by an aperture that controls the field of view of a detector. A more efficient design is shown in Fig. 8.1 (b) where a lens is used to more effectively gather the flux and control the field of view. To deal rigorously with the design in Fig. 8.1 (b), we would need to introduce the polarimetric Mueller matrix of the optic, so we will continue with the simple design in Fig. 8.1 (a) for the present. Assume that the linear polarizer is oriented with its transmissive axis along the horizontal axis.
Adenoma-Derived Organoids for Precision Therapy

Human colonic organoids derived from adult tissue biopsies are based on the ability of isolated somatic epithelial stem cells to reconstitute the structure and function of the colon, offering new opportunities for studying the biology of the large intestine in both health and disease. These colonoids may also function as efficient platforms for drug screening and discovery. Here, we describe the establishment of human colonic organoids derived from healthy, and adenomatous polyp tissues. We then demonstrate that organoids grown from adenomas of familial adenomatous polyposis (FAP) patients harboring nonsense mutations in the tumor suppressor gene adenomatous polyposis coli (APC), can be used to establish a personalized therapeutic strategy which relies on nonsense mutation readthrough therapy.
Masdevallia purocafeana, a new species of Orchidaceae from Cordillera del Toisán, northwestern Ecuador

A new species of Masdevallia genus is described here. Masdevallia purocafeana is immediately recognized by having conspicuously broad, echinate, and strongly reflexed lateral sepals. It is compared to Masdevallia alexandri but differs by having an oblong, shallowly concave, yellow-green dorsal sepal variegated with purple towards the apex, oblong petals light pink suffused with yellow and spotted with purple, and ovoid-ovate, reflexed light pink lip, dotted with pale light red.
Non‐separable spatio‐temporal models via transformed multivariate Gaussian Markov random fields

Models that capture spatial and temporal dynamics are applicable in many scientific fields. Non‐separable spatio‐temporal models were introduced in the literature to capture these dynamics. However, these models are generally complicated in construction and interpretation. We introduce a class of non‐separable transformed multivariate Gaussian Markov random fields (TMGMRF) in which the dependence structure is flexible and facilitates simple interpretations concerning spatial, temporal and spatio‐temporal parameters. Moreover, TMGMRF models have the advantage of allowing specialists to define any desired marginal distribution in model construction without suffering from spatio‐temporal confounding. Consequently, the use of spatio‐temporal models under the TMGMRF framework leads to a new class of general models, such as spatio‐temporal Gamma random fields, that can be directly used to model Poisson intensity for space–time data. The proposed model was applied to identify important environmental characteristics that affect variation in the abundance of Nenia tridens, a dominant species of gastropod in a well‐studied tropical ecosystem, and to characterize its spatial and temporal trends, which are particularly critical during the Anthropocene, an epoch of time characterized by human‐induced environmental change associated with climate and land use.
Impact of Stevia rebaudiana Culturing in Liquid Medium: Elevation of Yield and Biomass, Mitigation of Steviol Glycosides

An efficient micropropagation system is developed by culturing nodal segments containing the axillary shoot buds on liquid Murashige and Skoog (MS) medium. Direct shoot and root formation are highly effective in both solid and liquid MS media without any plant growth regulators (PGRs). Interestingly, a significant difference in yield is obtained between solid and liquid cultures. It is revealed that a relatively higher amount of plant biomass is obtained after culturing for 4 weeks in a liquid MS medium. However, the shoots produced on solid MS medium produce a remarkable decline in all physiological parameters. On contrary, the bioactive steviol glycosides (rebaudioside-A and stevioside) content is higher in shoots grown in solid MS on a comparative basis, which could be compensated by higher yield. After hardening off, all the regenerants are effectively grown in the field with a negligible loss (<1 %), and steviol glycosides spectra is again obtained by conducting high-performance liquid chromatography (HPLC) analysis after 10 weeks of the plantation. This method has great potential to be applied on large scale in bioreactors.
Design and Analysis of the LIFG Filters for Coupling Efficiency Near 100 % Range for a Desired Bandwidth

Abstract In this paper, we present preliminary simulation results of an improved dual grating-assisted fiber filter. As choosing optimum length the total loss is reduced, and coupling efficiency significantly increased compared to the previously reported results. The coupling efficiency is near 100 % range for a desired bandwidth. Dependence of the coupler on period has also been investigated.
Block-Iterative Reconstruction from Dynamically Selected Sparse Projection Views Using Extended Power-Divergence Measure

Iterative reconstruction of density pixel images from measured projections in computed tomography has attracted considerable attention. The ordered-subsets algorithm is an acceleration scheme that uses subsets of projections in a previously decided order. Several methods have been proposed to improve the convergence rate by permuting the order of the projections. However, they do not incorporate object information, such as shape, into the selection process. We propose a block-iterative reconstruction from sparse projection views with the dynamic selection of subsets based on an estimating function constructed by an extended power-divergence measure for decreasing the objective function as much as possible. We give a unified proposition for the inequality related to the difference between objective functions caused by one iteration as the theoretical basis of the proposed optimization strategy. Through the theory and numerical experiments, we show that nonuniform and sparse use of projection views leads to a reconstruction of higher-quality images and that an ordered subset is not the most effective for block-iterative reconstruction. The two-parameter class of extended power-divergence measures is the key to estimating an effective decrease in the objective function and plays a significant role in constructing a robust algorithm against noise.
Sentiment Analysis Berbasis Big Data Sentiment Analysis Based Big Data

Pemerintah sebagai pelayan masyarakat memiliki peran yang sangat besar dalam meningkatkan kesejahteraan masyarakat.Maka perlu diadakan suatu perbaikan secara bertahap guna meningkatkan pelayanan masyarakat ( public services ) sebagai tugas utama pemerintah, untuk itu perlu adanya sikap keterbukaan dari pemerintah untuk dapat menerima setiap keluhan masyarakat mengenai kebijakan / program yang langsung menyentuh kepentingan masyarakat. Media Center merupakan sistem pelayanan informasi yang terintegrasi kepada masyarakat Kota Surabaya untuk ikut berpartisipasi dalam pembangunan dengan berbagai cara seperti ide, pengaduan, keluhan, kritik, saran dan pertanyaan. Untuk itu perlu adanya klasifikasi untuk sentiment analysis keluhan masyarakat informasi yang masuk ke media center sehingga pengelola dapat memberikan informasi yang efisien dan tepat kepada masyarakat dan pemerintah dapat mengetahui bidang mana yang perlu dibenahi dalam pembangunan. Sentiment analysis merupakan proses klasifikasi dokumen tekstual ke dalam beberapa kelas seperti sentimen positif dan negatif serta besarnya pengaruh dan manfaat dari sentiment analysis tersebut. Pada penelitian ini dibahas klasifikasi keluhan masyarakat terhadap pemerintah pada media sosial facebook dan twitter sapawarga data berbahasa Indonesia menggunakan metode Support Vector Machine (SVM) yang dijalankan dalam komputasi terdistribusi dengan menggunakan Hadoop . Pengujian dilakukan dengan perhitungan precision, kecepatan, akurasi.Hal ini bertujuan untuk mengetahui sejauh mana kehandalan metode yang diusulkan untuk mencapai peningkatan kecepatan dan akurasi klasifikasi.
The Design of IOT based Robotic arm with Rover and Camera

In recent days, automating the things is increasing dramatically with improving humans necessity works. The technology was already increased with the support of machines and robots that are created in appropriate manner to meet current requirements. Robotic arms work with the pre-installed command by the designer with a certain degree of freedom. In this paper, a design of a robotic arm with a rover has been implemented with desirable features. The design also includes a camera module to view images of objects. This paper simply focuses on the huge development of a device by combining new technology with adding a camera and Google Assistant. A Robotic arm and Rover help in the pickup and placing operations in dangerous environments. Node MCU act as the main system of a device and the whole system is regulated using a Smartphone.
MULTI-CLOUD AND FOG COMPUTING TO CREATE A SECURE BACKUP SYSTEM

- For disaster recovery, data backup is critical. Cloud-based solutions already provide a secure infrastructure. However, data privacy cannot be guaranteed when it is stored in a single cloud. Multi-cloud technologies are another option. Although employing several clouds to save smaller chunks of data can improve data privacy, it also requires the edge device to maintain many accounts and manage connection with multiple clouds. Because of these flaws, this technology is rarely used. Using state-of-the-art Multi-Cloud and encryption techniques, we present DropStore as an easy-to-use, highly secure, and reliable backup system. Using a locally hosted device, DropStore creates an abstraction layer for the end-user to hide all system intricacies. "The Droplet," which is completely controlled by the user. As a result, the user does not have to rely on any untrustworthy third parties. Fog Computing was used to do this. The combination of Multi-Cloud and Fog Computing principles gives DropStore its distinctiveness. The system is open-source and accessible via the internet. The suggested solution improves data protection in terms of reliability, security, and privacy preservation while keeping a simple and straightforward interface with edge devices, according to performance results.
Development
of a mobile application for flag identification based on artificial neural
networks

Strojno učenje te posebno pripadajuće potpodručje poznato kao duboko učenje pokreću novedisruptivne tehnologije i nedavna postignuća u različitim industrijama. Ovaj rad koristi do određenerazine istu tehnologiju pri izradi mobilne aplikacije za edukacijske svrhe, a koja omogućuje identifikacijunepoznatih zastava pomoću umjetne inteligencije. Kako bi aplikacija bila funkcionalna i efikasna,potrebno je bilo kreirati vlastiti podatkovni skup i obraditi ga na razne načine kako bi se osiguralazbirka podataka koja odražava podatke iz stvarnoga svijeta. Ova zbirka bi se potom koristila kaopodatkovni ulaz za razvijanje modela, koji se razvija unutar okruženja TensorFlow. Nakon što je modelrazvijen, implementiran je kao dio mobilne aplikacije programirane Flutterom. Funkcionalnost mobilneaplikacije i točnost modela ispitana je na brojci od preko 100 novih slika koje model prethodno nijevidio niti je nad njima bio treniran. Rezultat ovog ispitivanja mogao bi se smatrati odrazom okvirnespremnosti i primjenjivosti ove aplikacije u stvarnom svijetu.
A Review on Self Nano Emulsifying Drug Delivery System

A self-nano emulsifying drug delivery system (SNEDDS) is a scheme of drug delivery that utilizes a chemical rather than a mechanical method of Nano emulsion. That is, by an intrinsic property of the drug formulation. It utilizes the familiar ouzo impact shown by anethole in many anise-flavored liquors, rather than by unique blending and handling Nano emulsion s have significant potential for use in the delivery of drugs, and SNEDDS (including so-called "U-type" nano emulsions) is the best of those systems to date identified. SNEDDS (Self-nano emulsifying drug delivery system) is a significant application for BCS Class II and Class IV drugs for water improvement Solubility of drugs that are not water-soluble. Preventing interfacial tension and enhancing dissolution as well as drug molecule absorption rate is essential.
Posttherapy Counter-Regulation Tumors via Persistent Blockade of Cure of Spontaneous Murine Mammary Chronic Chemoimmunotherapy Achieves

Intratumoral delivery of IL-12 and GM-CSF induces local and systemic antitumor CD8 + T cell activation and tumor kill. However, the effector response is transient and is rapidly countered by CD4 + Foxp3 + T suppressor cell expansion. To determine whether depletion of the pre-existing T suppressor cell pool prior to treatment could diminish posttherapy regulatory cell resurgence, FVBneuN mice bearing advanced spontaneous mammary tumors were treated with cyclophosphamide (CY) 1 d before IL-12/GM-CSF therapy. Administration of CY mediated a signiﬁcant delay in the post–IL-12/GM-CSF T suppressor cell rebound, resulting in a 7-fold increase in the CD8 + CTL/T suppressor cell ratio, a 3-fold enhancement of CTL cytotoxicity, and an extension of the effector window from 3 to 7 d. In long-term therapy studies, chronic chemoimmunotherapy promoted a dramatic enhancement of tumor regression, resulting in complete cure in 44% of the mice receiving CY plus IL-12/GM-CSF. Tumor eradication in the chronic therapy setting was associated with the ability to repeatedly rescue and maintain cytotoxic CD8 + T cell activity. These ﬁndings demonstrated that chronic administration of CY in conjunction with immune therapy enhances the initial induction of antitumor T effector cells and, more importantly, sustains their cytotoxic activity over the long-term via persistent blockade of homeostatic counter-regulation. The Journal of Immunology , 2011, 187: 000–000. the cytotoxicity + T effector/memory cells,
TEST CELL MEASUREMENTS Of A SUPPLY AIR ‘VENTILATED’ WINDOW.

SYNOPSIS A currently unresolved problem in building design is the paradox between increasing demand for good thermal insulation, and the requirement for ample levels of ventilation, to maintain a healthy indoor environment. A possible solution to this problem is a supply air ‘ventilated’ window. This utilises an airflow between panes to pre-heat ventilation air to the building, and to reduce thermal convection losses thus reducing the window U-Value. At the base of the window is a vent to the external environment, allowing air inflow. This relatively cold air is heated by convection/conduction from the warmer inner pane and will subsequently rise, or be drawn up, entering the room through venting at the top of the glazing. This paper describes an experiment to determine the thermal performance of two Supply Air ‘Ventilated’ windows of different aspect ratios. The experiments are carried out in advanced test cell facilities, and are intended to measure changes in thermal performance due to solar irradiation and aspect ratio. The windows show a significantly lower U-Value than conventional windows, and also achieve significant ventilation preheat especially in the presence of high solar irradiation. Aspect ratio appears to have a stronger influence on solar efficiency than it does on the window U-Value.
QUANTITATIVE STABILITY FOR MINIMIZING

On any closed Riemannian manifold of dimension n ≥ 3, we prove that if a function nearly minimizes the Yamabe energy, then the correspond- ing conformal metric is close, in a quantitative sense, to a minimizing Yamabe metric in the conformal class. Generically, this distance is controlled quadrati- cally by the Yamabe energy deﬁcit. Finally, we produce an example for which this quadratic estimate is false.
A comparison study of range-extended engines for electric vehicle based on vehicle simulator

Electric vehicles have several disadvantages compared to conventional vehicles, such as their road ability and vehicle weight. To overcome these problems, range-extended engine technology has been developed. A range extender is a generator set that consists of an internal combustion engine coupled with a generator that operates when it is required. A vehicle simulator was deployed to compare the performance of three types of range-extended engines i.e. 1-cylinder 389 cc, 1-cylinder 494 cc and 2-cylinder 988 cc gasoline engines. The best type chosen was afterwards to be coupled with an electric vehicle. The performance data of each internal combustion engine was collected using experiment and simulation data. Two types of driving cycle, the Federal Test Procedure cycle and Artemis Rural Road cycle, were chosen to compare the optimum road ability of the vehicle. The result shows that the 2-cylinder 988 cc range-extended engine has the best performance, with an electrical motor energy consumption decrease of up to 83.26%, fuel consumption increase for the range-extended engine of up to 3.91 L/km, and a road ability increase of up to 232.79% compared to a pure electric vehicle.