Miracle-dz/UniFAR-FTUs huggingface dataset:
SSC20-I-04 Enabling Hybrid Architectures and Mesh Network Topologies to Support the Global Multi-Domain Community

The turn of the new decade also represents the dawn of a new shift in domain operations. Concepts such as “Space Dial Tone,” reliable global access to internet, on-demand Earth observation, and remote sensing, while still not fully realized, are no longer purely imaginative. These concepts are in high demand and are coupled with the goals of Global Multi-Domain Operations (MDO). Small satellites (smallsats) have emerged as functionally reliable platforms, driving the development of next-generation satellite constellations. To achieve the potential of tomorrow’s technology, these constellations must embrace space mission architectures based on interoperable, open-system constructs such as hybrid architectures and mesh network topologies. This paper presents the full timeline for realization of multi-node, disparate (sovereign, coalition, commercial, etc.) multi-domain (Space, Air, Maritime, Land, and Cyber) systems to support future space mission architectures. It identifies and discusses the underlying technologies needed to bring new “system-of-systems” concepts to operational capability. Technologies to be discussed include: message-agnostic physical/protocol “Bridges”; Machine-to-Machine (M2M) data sharing enabled through Electronic Data Sheet (EDS) standards; and, new concepts related to Artificial Intelligence (AI) enabled human decision making. Tying these technologies together effectively will positively impact the smallsat market and fundamentally change mission architectures in the near future.
Markdown Pricing Under Unknown Parametric Demand Models

Dynamic Pricing under unknown demand has been extensively studied but rarely deployed by real-world sellers, largely due to overlooking some practical constraints. As one example, the prices may oscillate, which is highly undesirable in practice. In many applications, few retailers would pursue extra revenues by increasing the price, which may potentially lead to stirring customer service complaints, social media outrage, or simply loss of customers. Rather, they may start with a high initial price and then o↵er price markdowns, usually in a conservative manner. Thus motivated, we consider a single-product revenue management problem where, given infinite inventory, the objective is find the markdown policy, i.e. a pricing policy that monotonically reduces the price, over a finite sales horizon to maximize expected revenues. Recently, Jia et al. (2021) considered the problem where the underlying demand function is unknown, and showed a tight T 3/4 regret bound under minimal assumptions, that is, unimodality and Lipschitzness in the revenue function. However, in practice the demand functions are usually assumed to have certain functional forms. We investigate two fundamental questions, assuming the underlying demand curve comes from a given parametric family: (1) Can we improve the regret bounds under this extra assumption? (2) Is markdown pricing still harder than unconstrained pricing? We introduce a concept called dimension that measures the complexity of performing markdown pricing on a family, and present tight regret bounds for each regime under this framework, thereby completely settling the problem.
sbp-env: A Python Package for Sampling-based Motion Planner and Samplers

Sampling-based motion planning is one of the fundamental methods by which robots navigate and integrate with the real world (Elbanhawi & Simic, 2014). Motion planning involves planning the trajectories of the actuated part of the robot, under various constraints, while avoiding collisions with surrounding obstacles. Sampling-based motion planners (SBPs) are robust methods that avoid explicitly constructing the often intractable high-dimensional configuration space (C-Space). Instead, SBPs randomly sample the C-Space for valid connections and iteratively build a roadmap of connectivity. Most SBPs are guaranteed to find a solution if one exists (Kavraki et al., 1996), and such a planner is said to be probabilistic complete. A further development for SBPs is asymptotic optimality(Elbanhawi & Simic, 2014): a guarantee that the method will converge, in the limit, to the optimal solution.
Analysis of the occurrence, location and treatment of laryngeal carcinoma recurrence

Introduction: The efficacy of the applied model of laryngeal cancer treatment is measured by recurrence. Recurrence significantly reduces survival and determines the type of subsequent treatment. Objective: To determine the incidence of laryngeal cancer recurrence, the location of recurrence, and the definitive treatment of laryngeal cancer recurrence concerning different types of surgical treatments applied. Results: In the period from 2002 to 2017, 844 subjects with primary operated laryngeal squamous cell carcinoma were analyzed. Recurrence developed in 191/844 (22.6%) subjects. The mean recurrence time is 12.6 months. Supraglottic carcinoma is more likely to recur than glottic carcinoma 35.93% / 17.46%, p = 0.000. In N0 necks the recurrence rate is 14.42% and in N + necks it is 45.91, p = 0.000. In more advanced stages of the disease, the number of recurrence increases, p = 0.000. The most common area of recurrence is the neck with 45%, followed by local recurrence with 25.1%. Recurrence most often occurs in subjects with total laryngectomy and partial pharyngectomy, 50%. The most common development of regional recurrence is in the N3 category and extracapsular spread, 72.7%. The definitive treatment of recurrence usually involves radical neck dissection and total laryngectomy. Subjects with recurrence have a significantly lower three-year overall survival compared to those without recurrence, 47.6% / 92.3%, p = 0.000. Conclusion: Recurrence is expected in every fourth patient in the first 36 months following any type of surgical treatment of laryngeal carcinoma. The efficacy of treatment is directly related to recurrence. Recurrence is more common in more advanced stages of disease, extracapsular spread, and present metastases in the neck. Recurrence significantly reduces the overall survival of patients with laryngeal cancer.
TOPOLOGICAL GAMES AND TOPOLOGIES ON GROUPS

In this paper, using the language and techniques of topological games, of sieves and of plumages, we give a conditions for a semitopological group or a paratopological group to be a topological group. We prove that a paratopological group with the Baire property and with given pointwise property is a topological group if and only if it is p-embedded in some pseudocompact space with respective property. The case of n-ary groups is examined too. Some new open problems are formulated.
Mental body rotation with egocentric and object-based transformations in different postures: standing vs. balancing

BACKGROUND: Previous studies suggest better visual-spatial processing when participants are tested in postures in which dynamic stability is challenged. The question arises if this is also true for the performance in mental body-rotation tasks (MBRT). AIM: Taking the embodied cognition approach into account, the first aim of the present study was to examine the potential influence of different demands on dynamic stability for two postures (parallel stand vs. tandem stand) on solving two versions of the MBRT, inducing either an object-based or an egocentric perspective transformation strategy. The second aim was to investigate if these different demands on dynamic stability are reflected in postural sway parameters. METHOD: Thirty participants (18 females and 12 males) were tested in the two MBRTs and in a control condition. All tasks were performed while standing on a balance beam in tandem stand and in a feet parallel position on a force plate. RESULTS: The results for response time and response error revealed effects of rotation angle and task, but no effect of posture. The analyzed Center of Pressure (CoP) data revealed a reduction of body sway during the MBRT for egocentric perspective transformations. CONCLUSION: The results indicate that participants performed better for egocentric than for object-based transformations and that the egocentric transformation leads to more postural stability than the object-based.
SOCIAL INCLUSION THROUGH SKILL DEVELOPMENT IN INDIA

There is a myriad of social and economic issues in India and the most cardinal ones are that of social injustice, racial tensions, and workplace equality that is affecting the labor market in India. The lack of capital funding and formation by the government of the country pose serious barriers to resource planning and development in India. And that is why external support is often required to promote the skill development programs as well as the need for social inclusion at workplaces in India. Overall, a holistic sense of equality should be developed appropriately among the communities and social sections of India. That is why, the multinational corporations with the level of resources and leadership they have, can help the government in these special progress areas. In this study, a review has been used methodology to understand the impact of multinational companies on social and skill inclusivity and development of professional and vocational skills in India.
DISSERTATION EXAMINATION OF THE POTENTIAL IMPACTS OF DUST AND POLLUTION AEROSOL ACTING AS CLOUD NUCLEATING AEROSOL ON WATER RESOURCES IN THE COLORADO RIVER BASIN

ii ACKNOWLEDGEMENTS.iv DEDICATION.v TABLE OF CONTENTS.vi LIST OF TABLES . ix LIST OF FIGURES . x CHAPTER 1: Introduction. 1 CHAPTER 2: A study on the impact of dust and aerosol pollution on precipitation in the Colorado River Basin: Part I Seasonal Precipitation Estimates.4 2.1. 0 Introduction.4 2.2. 0 Background Research.7 2.3. 0 Dust Impact on Microphysics.8 2.3.1 RAMS dust model.9 2.3.2 RAMS cloud microphysics.10 2.3. 3.1 Setup 1 (old code) . 10 2.3. 3.2 Setup 2 (updated code) . 11 2.3. 3.2 Setup 3.11 2.3. 4 The adsorption theory.12 2.3. 5 New look-up table.13 2.3. 6 Ice activation.15 2.3. 7 The new ice nucleation scheme.15
Title: Efficacy of the Addition of Celecoxib to Selective Serotonin Reuptake Inhibitors in Treating Obsessive–Compulsive Disorder: A Double-Blind Clinical Trial Study

Authors: Najmeh Shahini1, Ali Talaei2, Mohammadreza Shalbafan3, Farhad Faridhosseini2,*, Malihe Ziaee4 1.Assistant Professor of Psychiatry, Golestan Resaerch Center of Psychiatry, Golestan University of Medical Sciences, Gorgan, Iran. 2.Associated Professor, Psychiatry and Behavioral Sciences Research Center, Ibn-e-Sina Hospital, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, IR Iran. 3.Assistant Professor of Psychiatry, Mental Health Research Center, Iran University of Medical Sciences, Tehran, Iran. 4.Associated Professor Community Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Evaluating laboratory screening tests for malaria on blood donor candidates to reduce the risk of transfusion-transmitted malaria in an endemic area of Indonesia

BACKGROUND Laboratory screening of blood donors for malaria has not been routinely performed in Indonesia. Current policy and practice simply exclude donors based on a history of active clinical malaria. This study was aimed to evaluate laboratory screening tests for malaria among blood donors in an endemic area of Indonesia. METHODS The study was conducted on 550 consecutive blood samples withdrawn from volunteer donors at the Red Cross Blood Transfusion Unit in Ambon city using microscopic and rapid diagnostic tests for antigen as well as for antibody. Furthermore, 248 of those 550 samples were also tested for the presence of malaria DNA using 18S rRNA marker. Statistical analysis was done descriptively using SPSS software version 15 (SPSS Inc., USA). RESULTS The overall malaria positivity rate among the donors was 4.5% (25/550). None of the specimens tested using microscopy or rapid test for malaria antigen assay were positive. However 22 (4.0%) samples were positive for malaria antibody against Plasmodium falciparum, while 3 (1.2%) were positive by PCR. CONCLUSIONS Laboratory testing for blood donors may be used to prevent transfusiontransmitted malaria in an endemic area of Indonesia.
Characterization of the Dimerization and Salt Dependent Aggregation of the ALS-Linked Protein TDP-43

Trans-active response (TAR) DNA-binding protein 43 (TDP-43) is essential for RNA processing but can also form toxic cytoplasmic inclusions in neurons of patients with amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD). RNA-binding has been shown to have the potential to decrease or inhibit the aggregation of TDP-43, indicating that supplying RNA therapeutics may be a solution to treat these neurodegenerative disorders. However, the mechanism of aggregation, transitioning from TDP-43’s native dimeric state to small oligomers to toxic aggregates, is still relatively unknown. This needs to be established before determining how to target and disrupt this aggregation. Using GFP-TDP-43, we first sought to further classify the native state of TDP-43 by characterizing its dimer interfaces by structure-guided mutagenesis. Combined, our results indicate that TDP-43 can form head-to-tail dimerization between two N-terminal domains (NTD) and head-to-head dimerization between two RNA-recognition motifs 2 (RRM2). When both interfaces are disrupted, we isolate a tentatively assigned monomeric species. The second aim of our study was to determine the propensity for aggregation of the same family of TDP-43 mutants. Using a denaturing purification method and low ionic strength buffers, we obtain a metastable intermediate of GFP-TDP-43 that undergoes inducible aggregation when electrolytes are added back to solution. By monitoring protein aggregation using turbidity assays and dynamic light scattering (DLS) measurements we observe that the addition of smaller divalent cations induces faster aggregation and produces larger aggregates than corresponding amounts of larger monovalent cations. These data support a
Fervent: Chemistry-coupled, ionising and non-ionising radiative feedback in magnetohydrodynamical simulations

We introduce a radiative transfer code module for the magnetohydrodynamical adaptive mesh refinement code FLASH 4. It is coupled to an efficient chemical network which explicitly tracks the three hydrogen species H,H2,H + as well as C and CO. The module is geared towards modeling all relevant thermal feedback processes of massive stars, and is able to follow the non-equilibrium time-dependent thermal and chemical state of the present-day interstellar medium as well as that of dense molecular clouds. We describe in detail the implementation of all relevant thermal stellar feedback mechanisms, i.e. photoelectric, photoionization and H2 dissociation heating as well as pumping of molecular hydrogen by UV photons. All included radiative feedback processes are extensively tested. We also compare our module to dedicated photon-dominated region (PDR) codes and find good agreement in our modeled hydrogen species once our radiative transfer solution reaches equilibrium. In addition, we show that the implemented radiative feedback physics is insensitive to the spatial resolution of the code and show under which conditions it is possible to obtain wellconverged evolution in time. Finally, we briefly explore the robustness of our scheme for treating combined ionizing and non-ionizing radiation.
Green coffee oil cream (Coffea arabica L.): healing potential of skin wounds of wistar rats

Objective: To evaluate the effect of 10% cream of green coffee oil on skin Wounds in Wistar Rats. Materials and Methods: We used 36 Wistar Rats, randomly divided between 3 groups: Inert Group (I, n = 12), Wounds were cleaned and treated with cream without the active ingredient once a day; Green Coffee (CV, n = 12), Wounds were cleaned and treated with 10% green coffee cream once a day; Dexpanthenol (SD, n = 12), Wounds were cleaned and treated with 5% Dexpanthenol once a day. As lesions had been generated by 8mm drilling, the same have been treated topically every day. On the 3rd , 7th and 14th day after Surgery, four Animals / group were sacrificed, or a Fragment of skin around the Wound was collected and processed histologically. Results: Green coffee cream is a 10% stimulus in the Repair process, such as Wounds without signs of infection, and an increase in the number of mononuclear Cells and fibroblasts (p 0.05), good entanglement of collagen Fibers and less healing time presented to the other studied groups. Conclusion: 10% green coffee oil has Pharmacological potential in the healing of skin Wounds.
FACTORS AFFECTING THE ACCEPTANCE OF USING SCRM TECHNOLOGY SYSTEM IN AUTOMOTIVE COMPANIES

Today, increasingly enhanced competition in the world has encountered companies with an important issue, which is how to use IT to improve the quality of services. SCRM technology system is an innovative technology, which facilitates the process of access to develop and maintain customer relationships more efficiently and effectively. The research has been study the factors affecting the acceptance of using SCRM technology system in automotive companies. The research was descriptive-survey research. The statistical population included all employees of Pars Khodro Automobile Company. In total, 240 employees were selected as the sample by simple sampling method to participate in the research. Descriptive statistics and inferential statistics (structural equation modeling) have been used to analyze data. According to the research results, it can be said that technical, organizational, environmental, and management characteristics have a positive and significant effect on the acceptance of using social customer relationship management.
Stratospheric Fluorine as a Tracer of Circulation Changes: Comparison Between Infrared Remote‐Sensing Observations and Simulations With Five Modern Reanalyses

Using multidecadal time series of ground‐based and satellite Fourier transform infrared measurements of inorganic fluorine (i.e., total fluorine resident in stratospheric fluorine reservoirs), we investigate stratospheric circulation changes over the past 20 years. The representation of these changes in five modern reanalyses is further analyzed through chemical‐transport model (CTM) simulations. From the observations but also from all reanalyses, we show that the inorganic fluorine is accumulating less rapidly in the Southern Hemisphere than in the Northern Hemisphere during the 21st century. Comparisons with a study evaluating the age‐of‐air of these reanalyses using the same CTM allow us to link this hemispheric asymmetry to changes in the Brewer‐Dobson circulation (BDC), with the age‐of‐air of the Southern Hemisphere getting younger relative to that of the Northern Hemisphere. Large differences in simulated total columns and absolute trend values are, nevertheless, depicted between our simulations driven by the five reanalyses. Superimposed on this multidecadal change, we, furthermore, confirm a 5–7‐year variability of the BDC that was first described in a recent study analyzing long‐term time series of hydrogen chloride (HCl) and nitric acid (HNO3). It is important to stress that our results, based on observations and meteorological reanalyses, are in contrast with the projections of chemistry‐climate models in response to the coupled increase of greenhouse gases and decrease of ozone‐depleting substances, calling for further investigations and the continuation of long‐term observations.
“FUNCTION THEORY AND `p SPACES” BY RAYMOND CHENG, JAVAD MASHREGHI AND WILLIAM T. ROSS

In one variable, the fields of operator theory and complex analysis are so intertwined that many researchers work in both fields, and at conferences nobody is surprised if a talk about one morphs into a talk about the other. There is a three-way street between them: operator theory is used to prove results in complex analysis (e.g. de Branges’s original proof of the Bieberbach conjecture [3]); complex analysis is used to prove results in operator theory (e.g. Stone’s original proof of the spectral theorem [8]); and some of the deepest results cannot even be stated without using both function theory and operator theory (e.g. Löwner’s characterization of matrix monotone functions [6]). One reason for this is the stunning success in the study of the shift operator, and all the function theory that connects to it. The shift operator S : `2 → `2 is defined by
Secondary Students’ Sensory Preferences and Their Influence on Science Academic Achievement

Evidence has been found that some students seem to have learning obstacles associated with particular sensory preferences when dealing with instructional materials. Therefore, knowing students’ sensory preferences could help teachers improve instructional resources. Our objectives were: (1) to describe Secondary students’ sensory preferences according to gender and age; (2) to analyse the possible association between students’ sensory preferences and their general academic achievement in science. We conducted a synchronic, cross-sectional descriptive study in a sample of 582 male and female students from 7th to 11th grade using the VARK questionnaire. There was a significant predominance of sensory preferences containing the Kinesthetic mode, and the preferences containing the Visual mode were the least frequent. Girls or boys showed similar distributions of sensory preferences. Using linear regression to predict students’ general academic achievement from VARK scores, we obtained a significant contribution of the Kinesthetic score, and a minor but still significant single contribution of the Reading/Writing score.
Survey of Query Intent Detection

With the growing popularity of the World Wide Web, English is no longer the dominant language of the documents present on the internet. The documents present in Indian Languages and their user base have also grown signiﬁcantly. It is crucial to build effective multilingual Information Retrieval (IR) systems with competitive performance as their English counterparts. To achieve this, a robust Query Understanding pipeline plays a key role. It involves extracting key pieces of information from the query string before propagating it through IR systems. This information includes the domain, intent, and key entities of the user query. This paper discusses the latest advancements and past work in the ﬁeld of query intent detection.
THE TRAVELING SALESMAN PROBLEM WITH MULTI-VISIT DRONE

This paper deals with the Traveling Salesman Problem with Multi-Visit Drone (TSPMVD) in which a truck works in collaboration with a drone that can serve up to q ≥ 1 customers consecutively during each sortie. We propose a Mixed Integer Linear Programming (MILP) formulation and a metaheuristic based on Iterated Local Search (ILS) to solve the problem. Benchmark instances collected from the literature of the special case with q = 1 are used to test the performance of our algorithms. The obtained results show that our MILP model can solve a number of instances to optimality. This is the first time optimal solutions for these instances are reported. Our ILS performs better than other algorithms in terms of both solution quality and running time on several instance classes. The numerical results obtained by testing the methods on new randomly generated instances show again the effectiveness of the methods as well as the positive impact of using the multi-visit drone.