Miracle-dz/UniFAR-FTUs huggingface dataset:
Inductive Source Degeneration in 40-nm GaN HEMTs for Operation Above 100 GHz

Source degeneration and neutralization techniques are investigated at millimeter-wave (mm-Wave) in gallium nitride (GaN) high-electron-mobility transistors (HEMTs). The role of thru-substrate vias for inductive source degeneration (ISD) is analyzed and modeled. A series of 40-nm GaN HEMTs with ISD are measured under small-signal, pulsed I–V and 94-GHz load pull. The ISD HEMTs demonstrate a 3-dB improvement in available gain at 83 GHz but also an unanticipated up to 75% increase in power density at 94 GHz with respect to the baseline devices. We discuss possible reasons for the performance enhancement. Device characterization to 200 GHz is presented.
Clinical efficacy and safety evaluation of adalimumab versus methotrexate in patients with early rheumatoid arthritis: Assessment of pathological parameters, joint damage and pain

Background: Rheumatoid arthritis (RA) a chronic inflammatory condition that required long-term therapy, Current disease modifying drugs including methotrexate are have significant side effects on long-term use. Adalimumab is the first fully human, high-affinity, recombinant immunoglobulin G1 anti-TNF monoclonal antibody and recent studies are showing its clinical benefits in the treatment of RA. Objective: To evaluate and compare the efficacy and safety profile of adalimumab versus methotrexate in the early-stage active RA patients. Methods: Patients visiting to the outpatient department for their RA were considered to include in the study and written consent were obtained from them. Eligible patients were randomly divided into two groups to received adalimumab or methotrexate. Different parameters for efficacy were evaluated such as American College of Rheumatology 20% criteria (ACR20), radiographs, biochemical parameters, pains and swelling or tenderness in joints. All patients were closely monitored for any kind of adverse events. Results: At 12 months period, more patients from the adalimumab treatment group met American College of Rheumatology 20% improvement criteria (79% and 67%, respectively). Similar difference was noticed for ACR 50 and ACR70 and also at 6-month time period. Adalimumab produced significant effects on ESR, CRP lever, joint counts (swollen and tender), pain and disease activity at 12 months, superior to methotrexate. Radiographic analysis showed that adalimumab reduced progression of joint damage as reflected in the changes in total sharp score, erosion score and joint space narrowing versus baseline. Adalimumab was not associated with any significant adverse event except injection site reaction. Conclusion: Adalimumab as monotherapy was safe and was superior to methotrexate in reducing disease activity, preventing structural damage, and improving clinicopathological parameters over the period of 1 year in patients with early, aggressive RA.
Fundamentals of Gravitoelectromagnetism

The book Fundamentals of Gravitoelectromagnetism contains the elementary ideas of four basic natural forces and an approach towards their unification. Unification of gravitational and electromagnetic fields affirms charge and matter do exist together and both are dregs of EM field. Mass-charge-space creation and energy annihilation is a simultaneous and spontaneous reversible universe process and occurs in immeasurable units beyond the applicability of the physical laws. Space is a complex function of basic natural forces and it increases symmetrically with constant rate in the beginning. Space and time do not have the same origin instead the space may have begun before the origin of time and it may have come into quantum existence with thrice of the Planck’s volume within the framework of applicability of physical laws when it already had an age. The elucidation of the book is in quite simple lingo and straight forward without ambiguities with clear illustrations. The undergraduate, graduate and research students may find the book worth valuable in the field of gravitation and cosmology.
A WiFi-Based Method for Recognizing Fine-Grained Multiple-Subject Human Activities

Device-free human activity recognition (HAR) has gained attention in recent years. While much has been done in coarse-grained HAR, the recognition of fine-grained human activities is still a research challenge. In this article, we present a novel method to combine channel state information (CSI) and received signal strength indicator (RSSI) signals at the feature level to improve the performance of device-free fine-grained HAR using WiFi data. We extract seven CSI and three RSSI non-segmented frequency-domain features, 12 segmented time-domain features, and five segmented frequency-domain features to select the feature set. We evaluate our method using a dataset containing 12 human-to-human fine-grained interactions. We utilized various classification methods like support vector machine (SVM), Gaussian–Naïve–Bayes (GNB), decision tree (DT), logistic regression (LR), linear discriminant analysis (LDA), K-nearest neighbors (KNN), and random forest (RF) using the feature set as input. Our evaluation result yields 94.16% of accuracy, 94.3% of precision, 94.24% of recall, 94.13% <inline-formula> <tex-math notation="LaTeX">$F1$ </tex-math></inline-formula>-score, 93.18% of <inline-formula> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula>-score, and 95.91% area under the curve (AUC) in recognition of seven human-to-human interactions using RF.
Scale-adaptive subgrid-scale modelling for large-eddy simulation of turbulent flows

The proportionality between the subgrid-scale (SGS) drain rate of kinetic energy and the viscous dissipation rate of the resolved motions is studied a priori by filtering a given fully resolved field and evaluating a generic form of the hypothesized energy spectrum. The ratio of the SGS drain to the resolved dissipation, on which a balance condition for the SGS dissipation across an arbitrary grid scale is founded, is shown to be independent of the turbulence Reynolds number, and can be described by a function in terms of the averaged mesh Reynolds number. Such a balance condition can serve as a physical constraint in the SGS modeling to account for the scale effects of the model coefficient(s). Scale-adaptive dynamic Smagorinsky-Lilly model and mixed nonlinear model are formulated for large-eddy simulation of transitional and/or turbulent flows in such a way that the constraint is satisfied. The newly proposed scale-adaptive dynamic SGS models are validated in simulations of homogeneous isotropic turbule.
Near-Field Power Density Mapping of Close-to-Body Low-Power mmWave Devices

This letter introduces a method for power density (PD) measurement of low-power millimeter-wave devices, accounting for antenna/body coupling. This technique employs a thin solid absorbing structure with equivalent scattering properties used to convert the absorbed power into a heat pattern measured by an infrared (IR) camera. The measured IR pattern is then used to reconstruct the PD distribution. The lock-in technique is used to enhance the signal-to-noise ratio. It consists in filtering the ambient IR noise as well as removing the parasitic heat conduction effect. The reduction of noise enables achieving a measurement sensitivity of the order of 1 mW/cm<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula>, substantially overcoming the sensitivity without lock-in (<inline-formula><tex-math notation="LaTeX">$> $</tex-math></inline-formula>10 dB). The proposed approach is experimentally validated for a conical horn antenna at 60 GHz. For the first time, this study demonstrates the sensitivity of IR-based measurements sufficient enough to assess the compliance of medium- and low-power wireless devices above 6 GHz.
Penerapan dynamic stretching dan latihan fisik anak usia 10-13 tahun melalui training of trainer pelatih sekolah sepak bola

Di dalam olahraga sepak bola, pemanasan harus melibatkan aktifitas-aktifitas yang dapat meningkatkan suhu tubuh serta otot, yang berguna untuk mempersiapkan tubuh untuk game atau sesi latihan selanjutnya. Salah satu model pemanasan yang sering dilakukan oleh pemain atau tim sepak bola profesional adalah pemanasan dinamis. Tujuan kegiatan pengabdian kepada masyarakat ini adalah untuk memberikan pengetahuan dan pemahaman kepada para pelatih sekolah sepak bola di Kota Malang tentang model-model pemanasan dinamis serta model latihan fisik untuk anak usia 10-13 tahun. Metode yang dilaksanakan dalam kegiatan pengabdian kepada masyarakat ini adalah dengan menggunakan metode teori dan praktek. Bentuk kegiatan pengabdian masyarakat ini dilaksanakan dengan cara menyelenggarakan workshop kepada pelatih Sekolah Sepak Bola Kota Malang yang berjumlah 30 orang tentang penerapan pemanasan dinamis dan latihan fisik untuk anak usia 10-13 tahun. Materi-materi yang disampaikan oleh narasumber dalam kegiatan pengabdian ini meliputi; definisi stretching dan pemanasan, pendapat yang menentang stretching statis sebelum sesi latihan atau pertandingan, pola pemanasan yang ideal, definisi latihan fisik, biomotorik dasar, karakteristik anak usia 10-13 tahun, model-model latihan fisik anak usia grassroot (10-13 tahun). Hasil dari kegiatan workshop ini adalah pelatih Sekolah Sepak bola Kota Malang memahami fungsi dari pemanasan dinamis dan bentuk-bentuk pemanasan dinamis dalam permainan sepak bola, serta memahami model latihan fisik untuk anak usia 10-13 tahun.
Spatial Smoothing Effect on Group-Level Functional Connectivity during Resting and Task-Based fMRI

Spatial smoothing is a preprocessing step applied to neuroimaging data to enhance data quality by reducing noise and artifacts. However, selecting an appropriate smoothing kernel size can be challenging as it can lead to undesired alterations in final images and functional connectivity networks. However, there is no sufficient information about the effects of the Gaussian kernel size on group-level results for different cases yet. This study investigates the influence of kernel size on functional connectivity networks and network parameters in whole-brain rs-fMRI and tb-fMRI analyses of healthy adults. The analysis includes {0, 2, 4, 6, 8, 10} mm kernels, commonly used in practical analyses, covering all major brain networks. Graph theoretical measures such as betweenness centrality, global/local efficiency, clustering coefficient, and average path length are examined for each kernel. Additionally, principal component analysis (PCA) and independent component analysis (ICA) parameters, namely kurtosis and skewness, are evaluated for the functional images. The findings demonstrate that kernel size directly affects node connections, resulting in modifications to functional network structures and PCA/ICA parameters. However, network metrics exhibit greater resilience to these changes.
Mutation Space of Spatially Conserved Amino Acid Sites in Proteins

The mutation space of spatially conserved (MSSC) amino acid residues is a protein structural quantity developed and described in this work. The MSSC quantifies how many mutations and which different mutations, i.e., the mutation space, occur in each amino acid site in a protein. The MSSC calculates the mutation space of amino acids in a target protein from the spatially conserved residues in a group of multiple protein structures. Spatially conserved amino acid residues are identified based on their relative positions in the protein structure. The MSSC examines each residue in a target protein, compares it to the residues present in the same relative position in other protein structures, and uses physicochemical criteria of mutations found in each conserved spatial site to quantify the mutation space of each amino acid in the target protein. The MSSC is analogous to scoring each site in a multiple sequence alignment but in three-dimensional space considering the spatial location of residues instead of solely the order in which they appear in a protein sequence. MSSC analysis was performed on example cases, and it reproduces the well-known observation that, regardless of secondary structure, solvent-exposed residues are more likely to be mutated than internal ones. The MSSC code is available on GitHub: “https://github.com/Cantu-Research-Group/Mutation_Space”.
Effects of the Alps and Apennines on forecasts for Po Valley convection in two HyMeX cases

Two Intensive Observation Periods (IOPs) of the Hydrological cycle in the Mediterranean eXperiment (HyMeX) are examined in this study. IOP6 and IOP13 were characterized by troughs with associated cold fronts entering the western Mediterranean and, in both cases, organized frontal convection in the Po Valley was observed. These similarities notwithstanding, predictability of the Po Valley convection was limited for IOP6 for most of the forecast models available during HyMeX, but not for IOP13. Using the Weather Research and Forecast (WRF) model in research mode, the present study confirms the relatively good forecast for frontal convection in IOP13 is not very sensitive to modelling assumptions. In contrast, it is found that only a two‐way‐nested simulation, initialized close to the event, was able to produce a realistic representation of the squall‐line in the Po Valley for IOP6. A comparison between a ‘successful’ and an ‘unsuccessful’ simulation of the Po Valley convection in IOP6 suggests the sensitivity lies with the orographic flow modification which was at the threshold between ‘flow‐over’ and ‘flow‐around’ responses to the Maritime Alps. In particular, in the ‘flow‐over’ regime, downslope winds from the Maritime Alps and Apennines suppress the convergence/uplift where the front encounters the barrier wind in the Po Valley, while in the ‘flow‐around’ regime it is unimpeded. A delicate balance between the competing mechanisms of orographically induced subsidence on the lee side of the Apennines and frontal uplift in the Po Valley is found to be crucial for squall‐line survival.
Application of multiobjective optimization concepts in inverse radiotherapy planning

Intensity Modulated Radiotherapy (IMRT) belongs to the most advanced techniques in cancer treatment. Due to the large number of degrees of freedom the inverse problem of IMRT is formulated as a scalar optimization problem. The conventional scalarization approach of the objective function represents an a priori trade-off between the planning goals and can lead to time consuming planning process. New multiobjective approaches try to overcome the difficulties by a precalculation of a set of Pareto optimal treatment plans from which the planner can subsequently choose the best suited plan. In this work we evaluate a new multiobjective treatment planning system. We investigate three different generalized equivalent uniform dose (gEUD) based modeling approaches and study the sensitivities of the corresponding model parameters. Quality measures for entire Pareto optimal databases are developed and applied to clincal cases. In retrospective planning studies we show that the new system is compatible with a clinical reference treatment planning system and that the total planning time for prostate cases can be significantly reduced. In the last part we develop a method to detect the imperative trade-offs in a plan database and apply techniques from linear as well as non-linear dimensionality reduction. They allow meaningful visualizations of high dimensional Pareto fronts and an insight into the underlying trade-offs between the planning goals.
PARQUE NACIONAL CIERVO DE LOS PANTANOS: DIEZ AÑOS DE SEGUIMIENTO DE LAS COMUNIDADES DE ANFIBIOS ANUROS

La declinación global de los anfibios está ampliamente documentada. Sin embargo, en Argentina no se conoce el estado de este grupo a nivel local en varias de sus áreas protegidas. En este contexto, analizamos la riqueza, abundancia relativa, diversidad, equitatividad y proporción de sitios ocupados por las comunidades de anuros del Parque Nacional Ciervo de los Pantanos (PNCdLP), Provincia de Buenos Aires, Argentina, y evaluamos las tendencias de estos parámetros a lo largo de diez años. Se realizaron registros visuales y auditivos nocturnos utilizando bandas a lo largo de transectas durante las temporadas primavera-verano 2004/05-2014/15 en tres ambientes del área protegida: pastizal de alto (PA), pastizal de bajo (PB) y bajo palustre (BP). Se estimaron la diversidad de Hill de orden cero, uno y dos (N0, N1 y N2), la abundancia (Ab) y la equitatividad (E), así como la proporción de sitios ocupados (PSO) para las distintas especies. Se evaluó la existencia de tendencias temporales en los parámetros analizados mediante la prueba de Cox-Stuart. Se registraron 16 especies de anuros. Los parámetros comunitarios difirieron significativamente entre ambientes. El BP fue el más diverso y equitativo. Los ambientes de humedal, con mayor inundabilidad y permanencia de agua (BP y PB), presentaron diferencias significativas con PA en casi todos los atributos estimados. Por otro lado, los análisis de tendencias temporales mostraron un aumento significativo para la mayoría de los parámetros estudiados en los ambientes de humedal. En PA dicho aumento se observó sólo en Ab y en N0. En cambio, la PSO exhibió resultados variables (aumentos y/o descensos). Las especies más adaptadas a sitios modificados por el hombre (como Leptodactylus latinasus y Boana pulchella) expresaron incrementos en más de un tipo de ambiente. Salvo en casos particulares, no se observaron tendencias poblacionales negativas. Se concluye que el PNCdLP constituye un sitio de gran importancia para la conservación de anfibios anuros de las regiones pampeana y deltaico-ribereña de Argentina.
Immunohistochemical analysis of extracellular signal-regulated kinase expression in mature and immature bulls’ testes and epididymides

Extracellular signal-regulated kinase (ERK) has been implicated in mammalian testicular and epididymal development. This study aimed to investigate ERK expression in the immature and mature testes and epididymides of bulls. We evaluated ERK expression using immunoblot analysis and immunohistochemistry. Immunoblot analysis revealed that immature bull testes and epididymides had higher phosphorylated ERK (pERK) expression than mature bull testes and epididymides. pERK immunoreactivity was higher in immature epididymides than in immature testes. pERK was localised mostly in spermatogonia, undifferentiated sustentacular (Sertoli) cells, and interstitial (Leydig) cells in immature testes, as well as in some spermatocytes and spermatids in mature testes. In immature epididymides, the body and tail had higher pERK expression than the head, whereas pERK was broadly distributed throughout the stereocilia, basal cells, and connective tissues. pERK distribution in the head of mature epididymides was similar to that in immature epididymides, whereas few connective tissue cells were expressed in the body and tail of mature epididymides. Collectively, these results suggest that ERK is expressed in the testis and epididymis of immature and mature bulls with varying intensities, and the role of ERK in male reproductive organs may include the specific function of its development.
Source Wavelet Amplitude Spectrum Estimation Using Marchenko Focusing Functions

Summary Marchenko focusing enables the redatuming of seismic surface data to an arbitrary new datum level in the subsurface. One requirement for an accurate redatuming is the correct deconvolution of the source signature from the acquired surface reflection response. Using an erroneous source wavelet for deconvolution leads to inaccurate redatuming and, thus, to artefacts in the redatumed data. However, the true amplitude spectrum of the source wavelet is often unknown. We propose a novel approach to invert for the amplitude spectrum of the source wavelet using focusing functions obtained by the Marchenko redatuming process. Deconvolving the data with an incorrect source wavelet generates undesired coda events in the focusing function. We identify such coda events by the analysis of an ensemble of focusing functions, where differently scaled source wavelets are used for deconvolution prior to redatuming. The amplitude spectrum of the identified coda is strongly related to an error in the source wavelet. Thus, we can iteratively invert for the correct scaling of the source wavelet by analyzing the amplitude spectrum of coda events in the focusing function. This approach yields the correct scaling of the amplitude spectrum of the source wavelet and enables accurate Marchenko redatuming.
An intelligent method for generating a list of job profile requirements based on neural network language models using ESCO taxonomy and online job corpus

Online recruitment systems have accumulated a huge amount of data on the real labor market in recent years. Of particular interest to the study are the data on the real requirements of the labor market contained in the texts of online vacancies, as well as the process of extracting and structuring them for further analysis and use. The stage of compiling an up-to-date list of requirements for a position profile in the recruitment process is very time-consuming and requires a large amount of effort from an HR specialist related to monitoring changes in entire industries and professions, as well as analyzing relevance of existing requirements on the market. In this article, the author proposes a conceptual model of a recommendation system that allows one to reduce the burden on an HR specialist at the stage of forming an up-to-date list of requirements for a position profile in the recruitment process. The model is based on a combination of the following components: a graph model of labor market requirements based on the ESCO taxonomy adapted for the Russian language; and an intelligent method of forming recommendations for compiling an up-to-date list of requirements in the recruitment process based on neural network models of the language on the architecture of transformers, ESCO skills taxonomy and corpus online vacancies of the Russian labor market. The article also provides a conceptual algorithm for the work of the recommendation system and possible options for recommendations on updating the list of requirements of the position profile in the recruitment process based on an analysis of the needs of the real labor market.
Ensemble-Learning and Feature Selection Techniques for Enhanced Antisense Oligonucleotide Efficacy Prediction in Exon Skipping

Antisense oligonucleotide (ASO)-mediated exon skipping has become a valuable tool for investigating gene function and developing gene therapy. Machine-learning-based computational methods, such as eSkip-Finder, have been developed to predict the efficacy of ASOs via exon skipping. However, these methods are computationally demanding, and the accuracy of predictions remains suboptimal. In this study, we propose a new approach to reduce the computational burden and improve the prediction performance by using feature selection within machine-learning algorithms and ensemble-learning techniques. We evaluated our approach using a dataset of experimentally validated exon-skipping events, dividing it into training and testing sets. Our results demonstrate that using a three-way-voting approach with random forest, gradient boosting, and XGBoost can significantly reduce the computation time to under ten seconds while improving prediction performance, as measured by R2 for both 2′-O-methyl nucleotides (2OMe) and phosphorodiamidate morpholino oligomers (PMOs). Additionally, the feature importance ranking derived from our approach is in good agreement with previously published results. Our findings suggest that our approach has the potential to enhance the accuracy and efficiency of predicting ASO efficacy via exon skipping. It could also facilitate the development of novel therapeutic strategies. This study could contribute to the ongoing efforts to improve ASO design and optimize gene therapy approaches.