Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular Pathways of Diabetic Kidney Disease Inferred from Proteomics

Abstract Diabetic kidney disease (DKD) affects an estimated 20–40% of type 2 diabetes patients and is among the most prevalent microvascular complications in this patient population, contributing to high morbidity and mortality rates. Currently, changes in albuminuria status are thought to be a primary indicator of the onset or progression of DKD, yet progressive nephropathy and renal impairment can occur in certain diabetic individuals who exhibit normal urinary albumin levels, emphasizing the lack of sensitivity and specificity associated with the use of albuminuria as a biomarker for detecting diabetic kidney disease and predicting DKD risk. According to the study, a non-invasive method for early detection or prediction of DKD may involve combining proteomic analytical techniques such second generation sequencing, mass spectrometry, two-dimensional gel electrophoresis, and other advanced system biology algorithms. Another category of proteins of relevance may now be provided by renal tissue biomarkers. The establishment of reliable proteomic biomarkers of DKD represents a novel approach to improving the diagnosis, prognostic evaluation, and treatment of affected patients. In the present review, a series of protein biomarkers that have been characterized to date are discussed, offering a theoretical foundation for future efforts to aid patients suffering from this debilitating microvascular complication.
Squeezing the Optical Near-Field Zone by Plasmon Coupling of Metallic Nanoparticles

The study of electromagnetic eigenmodes of small metal particles is motivated by fundamental research and by possible applications of the optical properties of such particles. Most experimental works involve a large number of small metal particles embedded inside a dielectric material or deposited on a surface. The particles were studied as disordered or ordered arrays [1,2]. In both cases, their optical properties were affected by statistical and /or collective effects. The shape and size inhomogeneities of a large array of small metal particles lead to a statistical averaging of the optical properties. Collective effects due to the multiple scattering of light between the particles become significant when the distance between the particles is reduced to the order of magnitude of the incident wavelength. A recent experiment [3] determined the homogeneous linewidth of the plasmon resonance of metallic nanoparticles. In order to circumvent the inherent broadening associated to the large number of particles, a scanning near-field optical microscope (SNOM) was operated as a subwavelength local antenna to excite single nanoparticles in the near-field zone. The detection of the transmitted
Analysis of the x-ray spectrum emitted by laser-produced plasma of dysprosium

A detailed analysis of the x-ray spectrum (5-10.2A) emitted by laser-produced plasma of dysprosium (Dy) is given using ab initio calculations with the HULLAC relativistic code and isoelectronic trends. Resonance 3d-4p, 3d-nf (n=4 to 7), 3p-4s, and 3p-4d transitions of NiI-like Dy XXXIX and neighboring ion satellite transitions (from Dy XXXIV to Dy XL) are identified.
Twisted N = 1 SCFTs and their AdS 3 duals

We study compactifications of an infinite family of four-dimensional N = 1 SCFTs on a Riemann surface in the presence of arbitrary background fluxes for global symmetries. The four-dimensional parent theories have holographic Sasaki-Einstein duals in type IIB string theory. We compute central charges and R-charges of baryonic operators in the resulting two-dimensional N = (0, 2) theories in three distinct ways: from the field theory side utilizing c-extremization, its recently discovered geometric dual formulation, and holographically using new AdS3 duals of two-dimensional field theories.
Open giant magnons suspended between dual giant gravitons in N = 4 SYM

: We study classical solutions to the Nambu-Goto string on AdS 2 (cid:2) S 1 and AdS 3 (cid:2) S 1 corresponding to strings stretched between wrapped branes extending in AdS. The solutions are obtained by analytic continuation of giant magnon solutions, cut at the position of the branes. These solutions carry one or two SO(2 ; 4) charges and a single SO(6) charge. We compute their energies and show their relation to 12 -BPS geometries. Their relevance to the SL(2) sector of N = 4 SYM is also discussed.
Wall-crossing and operator ordering for ’ t Hooft operators in N = 2 gauge theories

We study half-BPS ’t Hooft line operators in 4d N = 2 U(N) gauge theories on S1 × R3 with an Ω-deformation. The recently proposed brane construction of ’t Hooft operators shows that non-perturbative contributions to their correlator are identified with the Witten indices of quiver supersymmetric quantum mechanics. For the products of minimal ’t Hooft operators, a chamber in the space of Fayet-Iliopoulos parameters in the quantum mechanics corresponds to an ordering of the operators inserted along a line. These considerations lead us to conjecture that the Witten indices can be read off from the Moyal products of the expectation values of the minimal ’t Hooft operators, and also that wallcrossing occurs in the quantum mechanics only when the ordering of the operators changes. We confirm the conjectures by explicitly computing the Witten indices for the products of two and three minimal ’t Hooft operators in all possible chambers.
Spectral sequences and vacua in N = 2 gauged linear quantum mechanics with potentials

: We study the behaviour of supersymmetric ground states in a class of one-dimensional N = 2 abelian gauged linear sigma models, including theories for which the target space is a complete intersection in projective space, and more generally, models with an interaction term introduced by Herbst, Hori and Page in which the vacua correspond to elements of hypercohomology groups of complexes of sheaves. Combining physical insights from recent work by Hori, Kim and Yi with the use of spectral sequences, we propose a way to reconcile the non-linear sigma model description, valid deep within a geometric phase, with the eﬀective Coulomb branch description, valid near a phase boundary. This leads to a physical interpretation of the hypercohomology groups from the perspective of the Coulomb branch, as well as an interpretation for the spectral sequences used to compute them.
Gravity dual of two-dimensional N = (2 ; 2) (cid:3) supersymmetric Yang-Mills theory and integrable models

: The 2D N = (2 ; 2) (cid:3) supersymmetric Yang-Mills theory can be obtained from the 2D N = (4 ; 4) theory with a twisted mass deformation. In this paper we construct the gravity dual theory of the 2D N = (2 ; 2) (cid:3) supersymmetric U( N ) Yang-Mills theory at the large N and large ’t Hooft coupling limit using the 5D gauged supergravity. In the UV regime, this construction also provides the gravity dual of the 2D N = (2 ; 2) (cid:3) U( N ) topological Yang-Mills-Higgs theory. We propose a triality in the UV regime among integrable model, gauge theory and gravity, and we make some checks of this relation at classical level.
Linearization stability of gravitational and gauge fields

Conditions are given for the linearization stability of the Yang–Mills and the Einstein–Yang–Mills equations on a spacetime with a compact Cauchy surface. There are sufficient conditions on the Cauchy surface, and necessary and sufficient conditions on the spacetime; the latter are identified with global infinitesimal symmetries of the principal fiber bundle associated with the Yang–Mills (gauge) field. For each system a splitting theorem for the initial data is given and the Cauchy problem is discussed.
Landslide Susceptibility Spatial Modelling Using Random Forest Algorithm: A Case Study of Malang Regency

Landslides are disasters that cause huge losses to both human life and infrastructure. Therefore, this research purpose of carrying out landslide susceptibility spatial modelling using a random forest (RF) algorithm. This research uses 12 landslide conditioning factors to generate a landslide susceptibility map, which comprises elevation, slope, aspect, soil type, geological type, distance to river, NDVI (Normalized Different Index), river density, TWI (Topographic Wetness Index), annual rainfall, and land use. Each model was evaluated by 9 parameters including ROC (Receiver Operator Characteristic)-AUC (Area Under Curve), accuracy (acc), sensitivity (sn), specificity (sp), balanced accuracy (ba), g-mean (gm), cohen’s kappa (CK), and Matthew’s correlation coefficient (MCC). A total of 88 landslide locations were identified in Malang District using the regional disaster management authority of Malang District data. Of the 88 landslide inventories, 30% of the data were used for validation, and the remaining 70% were used for training purposes. The results show the ACC value of 0.884, 0.765 for SN, 0.962 for SP, 0.863 for GM, 0.857 for BA, 0.749 for CK, 0.876 for MCC, and 0.943 for AUC. From the entire landslide conditioning factors, the elevation parameter has the highest relative contribution level value, which is 100%. Moreover, the susceptibility map indicates that Malang District is dominated by a high susceptibility with an area of 177,208.83 ha (51% of the coverage area). 13 sub-districts that are dominated by high susceptibility levels area, including Ngantang, Kasembon, Apelgading, Pujon, Tirtoyudo, Poncokusumo, Sumbermanjing, Jabung, Dampit, Wonosari, Wagir, Dau and Gedangan sub-districts.
AI-based validation of wastewater treatment plant sensor data using an open data exchange architecture

Typically, within the context of treatment plant-wide data, the quality of data can be impacted by sensor faults, sensor calibration issues, fouling of and obstruction to the sensors and connectivity problems between sensors, actuators and the data management system, therefore hampering advanced data driven monitoring and control of (critical) water operations. Here, a smart data validation scheme is proposed that validates sensor data from a wastewater treatment plant and is tightly integrated with the open-source data exchange system called FIWARE, an EU supported framework. The data validation application and FIWARE setup are integrated, tested and deployed at the water utility, Waternet. The validation scheme is based on an anomaly detector using (statistical) threshold techniques and a data reconciliation part that aggregates deep learning based autoencoder model predictions whenever an anomaly is detected. The autoencoder models proved to have a high accuracy and good reconciliation performance considering the variability of the signal. Furthermore, (near) real-time validated and raw data signals are relayed towards a dashboard. Finally, the validated data can be used as a screening for data ingested by another AI-based model that enables monitoring and smart control of the wastewater treatment plant in order to minimise greenhouse gas emissions and energy consumption while meeting effluent water quality standards.
Research on bus converter for SAR satellite composited bus system

The composite bus system is a new type of satellite power system, which is suitable for high-power SAR satellites. The bus converter in the compound bus system is very important. This paper analyzes the design requirements of the bus converter, selects PSM LLC as the topology of the bus converter, and verifies the rationality of the scheme through simulation.
A complete digital water experience to support real leakage management planning

In the next years digital transition of Water Distribution Networks (WDNs) will represent a long-standing challenge for triggering innovations in the WDNs management tasks. The ongoing impulse for innovation, boosted also by the economic resources for post-pandemic recovery, is opening novel opportunities for technicians and researchers in the context of Digital Water. This work reports the key steps where novel concepts and tools of Digital Water have been used to support consultant companies in designing WDN leakage management actions in a real WDN managed by Acquedotto Pugliese, in Southern Italy. The Digital Water Services (DWSs) were used to support key phases of the workflow, including validation of topological data and integration of georeferenced connection to private properties; calibration of advanced hydraulic model exploiting mass-balance in pressure-driven analysis; the application of strategies for DMA design and pressure control; and the planning of pipe rehabilitation. WDNetXL platform was used to develop WDN Digital Twin and exploit the DWSs. Applying the Digital Water experience to multiple WDNs managed by the same provider also enabled planning the best courses of actions accounting for investments vs. expected leakage reduction at global scale.
The boundary correction for the Rayleigh-Darcy problem: limitations of the Brinkman equation

The no-slip condition on rigid boundaries necessitates a correction to the critical value of the Rayleigh–Darcy number for the onset of convection in a horizontal layer of a saturated porous medium uniformly heated from below. It is shown that the use of the Brinkman equation to obtain this correction is not justified, because of the limitations of that equation. These limitations are discussed in detail. An alternative procedure, based on a model in which the porous medium is sandwiched between two fluid layers, and the Beavers–Joseph boundary condition is applied at the interfaces, is described, and an expression for the correction is obtained. It is found that the correction can be of either sign, depending on the relative magnitudes of the parameters involved.
Profiling urban water consumption using autoencoders and time-series clustering techniques

Nowadays, water utilities face the rising challenge of ensuring water availability amidst a rapidly growing society and a shifting climate. Our research aims to develop a household clustering solution based on water consumption behaviour in Southwest England, to enable utilities to identify different profiles and enhance customized control of household consumption, resulting in improved resource management. The solution is composed of three modules. The first one is based on a K-Means clustering model, designed to group domestic water use behaviours. This module uses the Dynamic Time Wrapping algorithm as a similarity mechanism to process the high-resolution water meter data. In parallel, the second module processes the market segmentation data through an Autoencoder, a specific Neural Network architecture used to reduce the high dimensionality of such data to a low dimension dataset by extracting its latent encoded space. Finally, to assemble the final household water use profiles, a blending K-Means algorithm is used to merge previous modules outputs, based on the Euclidean distance. The solution provides insightful information to water companies to better understand consumer behaviour, habits, and routines.
A Dual-Band Shared-Aperture Antenna Array Design

Aiming at solving the difficult problem of shared-aperture integration of dual-band antenna arrays, the research of P-band/S-band shared-aperture antenna arrays is carried out, focusing on the design of broadband wide-angle scanning, planarization, miniaturization, and low-profile of the two-band shared-aperture antenna arrays. And certain work is carried out for the shared-aperture antennas in terms of the improvement of isolation and suppression of the blocking effect. The simulation results of the antenna model show that this antenna works well and can meet the specification requirements.
An Analysis of Miniaturization of 5G Massive MIMO Base Station Antenna

This paper reviews current works and efforts on the miniaturization of the 5G Massive MIMO base station antenna design. This paper first introduces the development of the Massive MIMO, with a proper mathematical illustration. Then, some conventional parameters are introduced to measure the performance of the antenna, with a connection to the miniaturization of the antenna. Specifically, two coefficients: the gain-to-volume ratio and isolation-to-volume ratio are constructed to measure the efforts in miniaturization. Tables that collect works in the literature are presented, with detailed comparisons among working situations. Then a general conclusion and future path of miniaturization are indicated. At last, the paper introduced the challenge and future of the miniaturization of the 5G Massive MIMO base station antenna.
Review of leakage detection in water distribution networks

The conservation of water is, justifiably, a huge concern to water companies, regulatory bodies, environmentalist and more but, unfortunately, water loss through leakage can remain undetected for long periods of time without effective leakage detection. Leakage detection in water distribution networks has taken many forms through investigating varying properties of leakage. Understanding the characteristic leakage types and properties introduces the different emerging technologies. Even though some methodologies have gained popularity in the past decade, the need to establish a complete, economical leakage detection solution that effectively identifies background leakage as well as burst events persists. The benefits and limitations of the aforementioned technologies has often confused water utilities on adapting the most suitable method. Therefore, there is an arising need to classify and benchmark leakage detection practices. This paper reviews technologies in leakage detection contrasting hardware & software, intrusive & non-intrusive, steady state & transient, single & hybrid methods. A particular focus will be placed on scoping the projected direction of leakage detection and localisation. As anticipated, the various techniques refined over the last two decades introduce different capabilities, conditions, and constraints[1]. Assessing and comparing those methods will provide a deeper novel understanding of the research area thus paving the way for novel solutions.
Elastic Resonant and Non-Resonant Differential Scattering of Quasifree Electrons from B(sup 4+)(1s) and B(sup 3+)(1s(sup 2)) Ions

High-resolution doubly differential cross-section measurements and calculations for quasifree electrons elastically scattered through 180 deg. from ground-state He- and H-like boron ions are presented. The measurements, covering the entire (for B{sup 3+}) and (for B{sup 4+}) Rydberg series populated by resonant excitation, were performed by zero-degree Auger projectile electron spectroscopy of 3.91 MeV B{sup 4+} and 3.08-7.48 MeV B{sup 3+} ions in collisions with H{sub 2} targets. The projectile energy dependence study is used to further investigate other background contributions such as direct electron capture, direct excitation, and nonresonant transfer excitation. R-matrix calculations, particularly sensitive at this large scattering angle to electron correlation, exchange, and interference effects, are found to be in excellent overall agreement within the electron scattering model.
Simulations of Recoiling Massive Black Holes

Abstract The coalescence of black hole binaries is a significant source of gravitational wave radiation. The typically asymmetric nature of this emission, which carries linear momentum, can result in the recoil of the black hole remnant with velocities in the range 100 < Vrecoil < 3750 km s−1. The detectability of recoiling massive black holes (MBH) as off-nuclear QSOs is tightly connected with the properties of the host galaxy, which determine the MBH's orbit and fuel reservoir. We present the results of N-body simulations of recoiling MBHs in high-resolution, non-axisymmetric potentials. We find that if the recoil velocities are high enough to reach regions of the galaxy dominated by the generally triaxial dark matter distribution, the return time is significantly extended when compared to a spherical distribution. We also perform simulations of recoiling MBHs traveling in gas merger remnants, where large amounts of gas have been funneled to the central regions, In this case, the MBHs remain within R<1 kpc from the center of the host even for high recoil velocities (Vrecoil = 1200 km s−1) due to the compactness of the remnant galaxy's nuclear disk. We discuss the implications of both scenarios for detectability.
Protein Motion Simulation Algorithm for Dihedral Angle Rotation Implementing Variable Speed

Most methodologies used for protein motion simulation either require a high computational cost, or the produced results do not fulfill kinematics requirements. For instance, molecular dynamics, which obtains the most accurate results, is hardly used to simulate proteins’ big conformational changes because of its huge computational requirements. Faster simulation methods, like interpolation procedures, do not produce realistic intermediate positions, mostly because of impossible kinematics between consecutive positions of the motion. In this paper, a new procedure is presented which simulates protein motion with affordable computational requirements. The procedure uses dihedral angle increments to produce the protein motion avoiding any energy minimization process. The kinematic model used for the protein structure is based on the ball and rods approach and is further refined by a normalization method to reduce experimental methods induced errors.
Factors influencing participation and credit constraints of a financial self-help group in a remote rural area: the case of ROSCA and ASCRA in Kemang Village West Java.

This study has investigated characteristics, participation and factors influencing probability of being credit constraint of two types of financial Self-Help Groups (SHG), ROSCA and ASCRA, in Indonesia. Both financial SHG can obtain more information that is only available inside a community to judge member creditworthiness. It is found that some households' individual characteristics and economic condition influence households' participation in RO SCA and ASCRA. In particular, being older, working as government employee and having higher education and steady income. Although, social sanction is a useful enforcement tools but it can cause internal credit constraint on socially active households. In ASCRA, households' health condition and having wedding celebration are good predictors of whether the committee will judge the applicant to be creditworthy. However, there is tendency misuse committee members' power by giving privileges to family and friends. It is also found that RO SCA reach poorer borrowers than ASCRA.
Direct use of the mass output of a thermobalance for controlling the reaction rate of solid-state reactions

Sample controlled thermal analysis equipment has been developed constituted by an electrobalance in which the mass output (TG signal) is directly used for monitoring the temperature of thermal decomposition reactions under constant rate thermal analysis (CRTA) or stepwise isothermal analysis (SIA) control. The sample weight is programmed to follow a preset linear decrease as a function of the time by means of a conventional controller, that at the time control a second conventional temperature programmer. The CRTA control is achieved by controlling the temperature is such a way that if the mass input is higher than the setpoint, the temperature increases at a predefined heating rate; while if the mass input is lower than the setpoint, the temperature decreases at a predefined cooling rate. The SIA control is achieved by selecting the run–hold command from the menu of the digital input of the temperature programmer. In such a case, the programmed linear heating schedule is in progress while the sample weig.