Miracle-dz/UniFAR-FTUs huggingface dataset:
5G mmWave Cooperative Positioning and Mapping Using Multi-Model PHD Filter and Map Fusion

5G millimeter wave (mmWave) signals can enable accurate positioning in vehicular networks when the base station and vehicles are equipped with large antenna arrays. However, radio-based positioning suffers from multipath signals generated by different types of objects in the physical environment. Multipath can be turned into a benefit, by building up a radio map (comprising the number of objects, object type, and object state) and using this map to exploit all available signal paths for positioning. We propose a new method for cooperative vehicle positioning and mapping of the radio environment, comprising a multiple-model probability hypothesis density filter and a map fusion routine, which is able to consider different types of objects and different fields of views. Simulation results demonstrate the performance of the proposed method.
Mixed Reality and Internet of Things (MRIoT) Interface Design Guidelines for Elderly People

Whereas there are existing strategies that are used to guide the design of user interfaces, none are sufficiently comprehensive to ensure that Mixed Reality (MR) and Internet of Things (IoT) interfaces will be usable by older adults. To address the usability needs and reconcile inconsistencies among the design strategies and technology characteristics, we consulted relevant design criteria and extended these associated concepts to include MR and IoT interfaces for the ageing population. To demonstrate its utility, we develop an innovative Assistive Technology (AT) that integrates MR and IoT technologies that satisfy each guideline. We believe that the set of design guidelines can serve as a source to practitioners working on the design of ATs for elderly people, and to researchers interested in the further development of a more inclusive set of design guidelines.
Toward Multidimensional Geographical Performance Analysis for Telecommunications Network

Management and maintenance of mobile networks is a challenging activity: key point indicators related to different dimensions need to be evaluated in order to make business decisions and/or to manage problems arising from the network and the relative impact on business. This paper presents a visual analytics solution able to geo-reference up to three key point indicators, aiming at supporting operators in charge of analyzing the mobile network, detecting possible mobile network failures and managing resulting business oriented decisions. The proposed system has been developed collaboratively by University of Rome “La Sapienza” and TIM.
Assessment of Utilization of Sheep Wool Pellets as Organic Fertilizer and Soil Amendment in Processing Tomato and Broccoli

FloraPell® is a new organic fertilizer, made fromlow grade coarse grease wool with a mineral content of 10-12% Total Nitrogen and 4-6% Potassium, it is a 100% renewable fertilizer, manufactured by an environmentally friendly process. The objective of this work was to evaluate the effect of floraPell as soil amendment and organic fertilizer in two different field-grown vegetable crops, processing tomato and broccoli. It was demonstrated that the floraPell application as organic fertilizer at the highest doses allowed obtain the highest yields, as much for processing tomato as for broccoli crops under organic farming growing conditions. However, it seems that the quality parameters analysed in the final product, tomato fruits and broccoli heads, were not influenced by fertilising treatments evaluated. Regarding the influence of floraPell as soil amendment, based on the obtained results, the soil characteristics evolution over the trial did not varied with the different treatments applied, as it was very similar among them and even to the control treatment. For both crops, the soil characteristics evolution followed the same trend, except for the organic matter content, which maintained at the same level in processing tomato trial, while decreased slightly at the end of the trial for broccoli. The results suggest that floraPell can be used successfully as alternative biofertilizer, at a doses of 2000 kg/ha (200 N) for both crops, processing tomato and broccoli, making sure a profitable yield for the farmers, in a sustainable and environmental friendly way.
Broadband Optical Detection Using the Spin Seebeck Effect

The generation, control, and detection of spin currents in solid-state devices are critical for Joule-heating minimization, spin-based computation, and electrical energy generation from thermal gradients. Although incorporation of spin functionality into technologically important architectures is still in its infancy, advantages over all-electric devices are increasingly becoming clear. Here, we utilize the spin Seebeck effect (SSE) in Pt/Y3Fe5O12 devices to detect light from 390 to 2200 nm. We find the device responsivity is remarkably flat across this technologically important wavelength range, closely following the Pt absorption coefficient. As expected from a SSE-generation mechanism, we observe that the photovoltage and Pt heating dynamics are in strong agreement. To precisely determine the optically created thermal gradient produced from a point-like heat source, we introduce a field-modulation method for measuring the SSE. Our results show broadband optical detection can be performed with devices based solely on spin current generation and detection.
NK Cell Precursors in Human Bone Marrow in Health and Inflammation

NK cells are generated from hematopoietic stem cells (HSC) residing in the bone marrow (BM), similar to other blood cells. Development toward mature NK cells occurs largely outside the BM through travel of CD34+ and other progenitor intermediates toward secondary lymphoid organs. The BM harbors multipotent CD34+ common lymphoid progenitors (CLPs) that generate T, B, NK, and Dendritic Cells and are devoid of erythroid, myeloid, and megakaryocytic potential. Over recent years, there has been a quest for single-lineage progenitors predominantly with the objective of manipulation and intervention in mind, which has led to the identification of unipotent NK cell progenitors devoid of other lymphoid lineage potential. Research efforts for the study of lymphopoiesis have almost exclusively concentrated on healthy donor tissues and on repopulation/transplant models. This has led to the widely accepted assumption that lymphopoiesis during disease states reflects the findings of these models. However, compelling evidences in animal models show that inflammation plays a fundamental role in the regulation of HSC maturation and release in the BM niches through several mechanisms including modulation of the CXCL12-CXCR4 expression. Indeed, recent findings during systemic inflammation in patients provide evidence that a so-far overlooked CLP exists in the BM (Lin−CD34+DNAM-1brightCXCR4+) and that it overwhelmingly exits the BM during systemic inflammation. These “inflammatory” precursors have a developmental trajectory toward surprisingly functional NK and T cells as reviewed here and mirror the steady state maintenance of the NK cell pool by CD34+DNAM-1−CXCR4− precursors. Our understanding of NK cell precursor development may benefit from including a distinct “inflammatory” progenitor modeling of lymphoid precursors, allowing rapid deployment of specialized Lin−CD34+DNAM-1brightCXCR4+ -derived resources from the BM.
HST spectra reveal accretion in MY Lupi

The mass accretion rate is a crucial parameter for the study of the evolution of accretion discs around young low-mass stellar and substellar objects (YSOs). We revisit the case of MY Lup, an object where VLT/X-shooter data suggested a negligible mass accretion rate, and show it to be accreting on a level similar to other Class II YSOs in Lupus based on Hubble Space Telescope (HST) observations. In our HST-Cosmic Origins Spectrograph (HST-COS) and -Space Telescope Imaging Spectrograph (HST-STIS) spectra, we find many emission lines, as well as substantial far-ultraviolet (FUV) continuum excess emission, which can be ascribed to active accretion. The total luminosity of the C IV λ1549 Å doublet is 4.1 × 10−4 L⊙. Using scalings between accretion luminosity, Lacc, and C IV luminosity from the literature, we derive Lacc ~2 × 10−1 L⊙, which is more than an order of magnitude higher than the upper limit estimated from the X-shooter observations. We discuss possible reasons for the X-shooter-HST discrepancy, the most plausible being that the low contrast between the continuum excess emission and the photospheric+chromospheric emission at optical wavelengths in MY Lup hampered detection of excess emission. The luminosity of the FUV continuum and C IV lines, strong H2 fluorescence, and a “1600 A Bump” place MY Lup in the class of accreting objects with gas-rich discs. So far, MY Lup is the only peculiar case in which a significant difference between the HST and X-shooter Ṁacc estimates exists that is not ascribable to variability. The mass accretion rate inferred from the revisited Lacc estimate is Ṁacc ~ 1(−0.5+1.5) × 10−8 M⊙ yr−1. This value is consistent with the typical value derived for accreting YSOs of similar mass in Lupus and points to less clearing of the inner disc than indicated by near- and mid-infrared observations. This is confirmed by Atacama Large Millimeter Array (ALMA) data, which show that the gaps and rings seen in the sub-millimetre are relatively shallow.
Functional expression of human cone pigments using recombinant baculovirus: compatibility with histidine tagging and evidence for TV-glycosylation

Mammalian color vision is mediated by light-sensitive pigments in retinal cone cells. Biochemical studies on native mammalian cone visual pigments are seriously hampered by their low levels and instability. We describe a novel approach for their functional expression, employing the baculovirus system in combination with histidine tagging to allow future purification and structural analysis. The human red and green cone pigments are produced in relatively large amounts and can be detected by immunocytochemistry as well as by immunoblotting. Histidine tagging has no significant effect on the absorbance maxima. The first evidence is presented that these pigments are /V-glycosylated.
OFFENSIVE TECHNICAL-TACTICAL ANALYSIS ON NBA FINALIST TEAMS: A CASE STUDY ANÁLISE TÉCNICO-TÁTICA OFENSIVA DE EQUIPES FINALISTAS DA NBA: UM ESTUDO DE CASO

The San Antonio Spurs (SAS) teamwork and the team led by three players of the Miami Heat (MIA) marked the 2014 NBA finals. This study aimed to analyze the offensive actions on those games. Game indicators were obtained through the official NBA box-scores and game analysis took place through an adapted version of the IAD-BB. Field goals made, assists, and total points presented significant association between the teams, in which the SAS presented higher scores in comparison to the MIA. While the SAS presented a significantly higher absolute frequency of offenses with three to five and six to eight passes made, the MIA had a higher number of offenses with zero to two passes made. Significant association was identified for the shooting conditions between the teams, in which the SAS presented a higher number of shots under ‘passively guarded’ and wide-open conditions, whereas the MIA had a higher number of shots under pressure. However, neither teams’ shooting efficacy indicated a significant association. We belive that the higher number of field goals made, assists, total score, and a higher frequency of offenses with a bigger number of passes can be considered the determining factors for the SAS success in the games investigated.
Projective geometries, simplices and clutters.

A clutter is {\it clean} if it has no delta or the blocker of an extended odd hole minor. There are combinatorial and geometric classes of clean clutters, namely ideal clutters, clutters without an intersecting minor, and binary clutters. Tight connections between clean clutters and the first two classes have recently been established. In this paper, we establish a deep connection between clean clutters and binary clutters. Let $\mathcal{C}$ be a clean clutter with covering number 2 where every element is in a minimum cover. It was recently proved that $\mathcal{C}$ has a fractional packing of value two. Collecting the supports of all such fractional packings, we obtain the {\it core} of $\mathcal{C}$. We see that the core is a duplication of the cuboid of a set of 0-1 points, called the {\it setcore} of $\mathcal{C}$. We see that the convex hull of the setcore is a full-dimensional polytope containing the center of the hypercube in its interior. We define two parameters on $\mathcal{C}$, one is the optimum of a combinatorial minimization problem called the {\it girth}, while the other is the optimum of a geometric maximization problem called the {\it depth}. We prove a duality theorem between the two parameters, exposing a fascinating interplay between the combinatorics and the geometry of such clutters. Further stressing the interplay, we see that the convex hull of the setcore is a simplex if and only if the setcore is the cocycle space of a projective geometry over GF(2). We see that if the convex hull of the setcore is a simplex of dimension more than 3, then $\mathcal{C}$ has the Fano plane as a minor. We also see an infinite class of ideal minimally non-packing clutters with covering number two whose setcore corresponds to a simplex of dimension 3. Our results lend weight to two unpublished conjectures of Seymour (1975) about dyadic fractional packings in ideal clutters.
Improving efficiency of solving computational problems with ASP

Answer Set Programming (ASP) is a declarative programming paradigm for knowledge representation and reasoning. It can be used to represent and reason with recursive de nitions, defaults and their exceptions, causal relations, beliefs, and various forms of incomplete information. ASP has been successfully used and applied to solve a variety of di cult (primarily NP-Hard) problems; however, sometimes nding solutions can be computationally expensive. Under the ASP methodology, a computational problem is encoded into a logic program that represents information relevant to the problem to be solved. The answer set semantics assigns to a program a collection of answer setd. Finding solutions to a problem is reduced to computing answer sets of the logic program that represent the problem. The goal of this research is to improve the e ciency of solving computational problems with ASP by: improving problem representation techniques and improving existing answer set solvers. We illustrate our our approaches by solving the problem of Conformant Planning. First, we developed new representation techniques for the Conformant Planning problem. Second, we identi ed and implemented algorithmic improvements on the prototype solver ACsolver. Conformant planning is a class of planning problems in which the planning agent is given incomplete information about the initial state of the planning domain and is asked to nd a plan that will achieve a given goal regardless of the uncertainty present in the initial situation. Our proposed encoding methodology is based on the use of an approximation transition diagram, by which the resulting logic program is capable of correctly reasoning about the e ects of actions in the presence of incomplete information. We show that our methodology is sound and under some circumstances complete, and that it extends the applicability and e ciency of ASP to this class of problems. In the second part of the dissertation we concentrate on improving the prototype
CLINICAL PROFILE, DRUG RESISTANCE PATTERN AND TREATMENT OUTCOMES OF ABDOMINAL TUBERCULOSIS PATIENTS IN WESTERN INDIA.

BACKGROUND Abdominal tuberculosis is an increasing problem in developing world. OBJECTIVE The objective of the study was to describe the clinical presentations, drug resistance pattern and treatment outcomes of abdominal tuberculosis in Western India. METHODS All the cases of abdominal tuberculosis from May 2014 to April 2017, diagnosed on the basis of clinical profile and gross morphological findings at endoscopy, imaging, followed by histology and/or GeneXpert and MGIT culture were included. All patients received antitubercular drug (AKT) therapy according to national protocol. Patients were followed from diagnoses till completion of treatment and various parameters were studied. RESULTS Out of the 176 patients, 48% were males. Abdominal pain was most common complaint in 83.5%. On colonoscopy terminal ileum and ileocaecal valve were most commonly involved segments. Upper gastrointestinal tract was involved in four patients. Overall ulceronodular lesions were most common followed by ulcerative/nodular lesion. Strictures in bowel were seen in 28 (15.9%) patients with ileocaecal valve being most commonly involved, of which 23 had symptomatic relief with AKT and only three required dilatation. Histopathology showed granuloma in 80.8% cases. MGIT was positive in 43 (35.80%) cases and GeneXpert was positive in 35 (26.1%) cases. Eight patients had multi drug resistant tuberculosis. Only two patients required surgical management. CONCLUSION Abdominal tuberculosis with wide spectrum of presentation, can still be managed with early diagnosis and treatment even in patients with sub acute intestinal obstruction. Weight gain or resolving symptoms were considered early markers of treatment response. Patients with stricture can become asymptomatic with medical treatment alone.
Orthogonal Center Learning with Subspace Masking for Person Re-Identification

Person re-identification aims to identify whether pairs of images belong to the same person or not. This problem is challenging due to large differences in camera views, lighting and background. One of the mainstream in learning CNN features is to design loss functions which reinforce both the class separation and intra-class compactness. In this paper, we propose a novel Orthogonal Center Learning method with Subspace Masking for person re-identification. We make the following contributions: (i) we develop a center learning module to learn the class centers by simultaneously reducing the intra-class differences and inter-class correlations by orthogonalization; (ii) we introduce a subspace masking mechanism to enhance the generalization of the learned class centers; and (iii) we devise to integrate the average pooling and max pooling in a regularizing manner that fully exploits their *Wenjie Pei and Yu-Wing Tai are joint corresponding authors. W. Wang ·W. Pei · Q. Cao · S. Liu · X. Shen · Y. Tai Youtu X-lab, Tencent E-mail: weinong.wang@hotmail.com, wenjiecoder@gmail.com, freyaqcao@tencent.com, iushuhust@gmail.com, goodshenxy@gmail.com, yuwingtai@tencent.com powers. Extensive experiments show that our proposed method consistently outperforms the state-of-the-art methods on the large-scale ReID datasets including Market-1501, DukeMTMCReID, CUHK03 and MSMT17.
NEGATIVE TRIANGULARITY EFFECTS ON TOKAMAK MHD STABILITY

Recently, discharges with negative triangularity were created in the DIII-D tokamak. These discharges exhibited the H-mode-level confinement features with L-mode-like edge behavior without ELMs (M. E. Austin et al., Bull. Am. Phys. Soc. vol. 62 (2017)). This led us to extensively examine the MHD stability of negative triangularity tokamaks. Using the numerically reconstructed experimental equilibrium, our computation confirmed the stability of the beta normal of 2.6 achieved in DIII-D experiments against low-n MHD kink modes. In parameter variations outside the experimental values, we surprisingly found that the negative triangularity configuration can actually achieve even higher beta normal than the positive triangularity case in certain cases. We used the VMEC equilibrium code to construct the equilibria, with the bootstrap current included from the Sauter formula. The stability was investigated using the AEGIS code, supplemented by the DCON code. Indeed, our calculations show that the negative triangularity configurations with low bootstrap current fraction and usual equilibrium profiles are usually not favorable for MHD stability. However, we found that the negative triangularity configuration leads to a lower safety factor value especially near the edge. That motivates us to reduce the Ohmic current and increase bootstrap current fraction. Surprisingly, it is found that in a certain parameter domain the beta normal can reach about 8 l! (I/aB) for low n modes, about twice the extended Troyon limit for positive triangularity case. Here, l! is the internal inductance, I denotes the toroidal current, a is the minor radius, and B represents the magnetic field. This leads us to conclude that the negative triangularity tokamak can be more attractive than the positive triangularity case for steady-state confinement in the advanced tokamak scenario from the point of view of low n MHD stability.
Mobile Sensor Gateway A multi-purpose mobile sensor application

This thesis describes the process of creating a platform-independent mobile application for connecting mobile devices to wireless sensors using Bluetooth Low Energy, collecting data from connected sensors and uploading the collected data to a cloud storage service. As consumers and researchers use more sensors and other Bluetooth-devices, [1] one could argue that there is a need for simpler and standardised solutions to working with these. A literature study has been conducted where information on related research has been collected and important information about the necessary software components has been evaluated. In combination with the literature study, an IT artefact has been developed in the form of a mobile application that has been tested according to collected requirements to ensure the application's functionality. The purpose of this work is to contribute with a clear scientific process over what is required to create a mobile application of this kind and what potential difficulties exist in present-day design of this type of applications. The results show that some manufacturers may not be following the standards for Bluetooth data communication, thus making it hard to write generalized methods for retrieving data from sensors of any type or manufacturer.
Enumerating Partial Latin Rectangles

This paper deals with different computational methods to enumerate the set $\mathrm{PLR}(r,s,n;m)$ of $r \times s$ partial Latin rectangles on $n$ symbols with $m$ non-empty cells. For fixed $r$, $s$, and $n$, we prove that the size of this set is given by a symmetric polynomial of degree $3m$, and we determine the leading terms (the monomials of degree $3m$ through $3m-9$) using inclusion-exclusion. For $m \leqslant 13$, exact formulas for these symmetric polynomials are determined using a chromatic polynomial method. Adapting Sade's method for enumerating Latin squares, we compute the exact size of $\mathrm{PLR}(r,s,n;m)$, for all $r \leqslant s \leqslant n \leqslant 7$, and all $r \leqslant s \leqslant 6$ when $n=8$. Using an algebraic geometry method together with Burnside's Lemma, we enumerate isomorphism, isotopism, and main classes when $r \leqslant s \leqslant n \leqslant 6$. Numerical results have been cross-checked where possible.