Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards Online Partitioning of Agent Sets based on Local Information

This paper deals with the autonomous and uniform partitioning of very simple, homogeneous agents onto a fixed number of targets in a geometric space. A set of algorithms will be presented and compared according to the quality of the partitioning and the runtime of simulations with different starting conditions. Random and heuristic approaches will be discussed. The algorithm with the most promising experimental results, the Border Switch Strategy (BSS), will be explained and formalized in a detailed way.
Designing Tangible Table-top Interfaces for Patients in Rehabilitation

We investigated the potentials and acceptance of tangible tabletop (TT) interfaces in functional and neural rehabilitation. Our goal was to analyse whether TT systems are adequate for rehabilitation and its sub categories and whether these tools have the potential to create an added value for both patients and therapists. We further investigated conventional practices and rehabilitation tools that could be adequately adapted to TT interfaces. Based on theoretical work and on the results of two focus groups with therapists and a contextual inquiry we developed three concepts for TT tools. Finally we present the resulting paper and interactive prototypes.
Performance Enhancement of SPMSM Under Finite Control Set Model Predictive Current Control

Finite Control Set Model Predictive Control (FCS-MPC) is recognized as a straightforward and efficient control method for drives using permanent magnet synchronous motors (PMSM). It offers the advantage of rapid dynamic response, but it encounters challenges such as large torque, stator flux ripples, and high THD in phase current which mean unsatisfactory steady state performance because one voltage vector is applied during the whole control period. This article presents how to enhance the transient and steady-state performance of surface permanent magnet synchronous machine (SPMSM) by designing a modulated model predictive current control (M-MPCC). Improvement of transient performance is maintaining the performance of the SPMSM within maximum limits. The improvement in the steady-state performance includes torque, stator flux ripples, and THD in stator phase currents. M-MPCC, which applies one active voltage vector and one zero voltage vector in a control cycle, has better dynamic performance than C-MPCC. In the proposed M-MPCC, new six voltage vectors are introduced in addition to the main six active voltage vectors which increase the number of voltage vectors. The proposed method causes no computational burden more compared with C-MPCC. The proposed methods are evaluated via simulation results and compared with conventional model predictive current control (C-MPCC) for surface permanent magnet synchronous motors, and it is proved that the proposed method has a better steady-state performance while maintaining quick dynamic response within the maximum limits.
Generalized HARDI invariants by method of tensor contraction

We propose a 3D object recognition technique to construct rotation invariant feature vectors for high angular resolution diffusion imaging (HARDI). This method uses the spherical harmonics (SH) expansion and is based on generating rank-1 contravariant tensors using the SH coefficients, and contracting them with covariant tensors to obtain invariants. The proposed technique enables the systematic construction of invariants for SH expansions of any order using simple mathematical operations. In addition, it allows construction of a large set of invariants, even for low order expansions, thus providing rich feature vectors for image analysis tasks such as classification and segmentation. In this paper, we use this technique to construct feature vectors for eighth-order fiber orientation distributions (FODs) reconstructed using constrained spherical deconvolution (CSD). Using simulated and in vivo brain data, we show that these invariants are robust to noise, enable voxel-wise classification, and capture meaningful information on the underlying white matter structure.
The Expanding Role of Therapeutic Antibodies

Therapeutic antibodies have been used since the end of nineteenth century, but their use is progressively increased and recently, with the availability of monoclonal antibodies, they are successfully employed in a large disease spectrum, which transversally covers different fields of medicine. Hyperimmune polyclonal immune globulin has been used against infectious diseases, in a period in which anti-microbial drugs were not yet available, and it still maintains a relevant place in prophylaxis/therapy. Although immune globulin should be considered life-saving as replacement therapy in humoral immunodeficiencies, its place in the immune-modulating treatment is not usually first-choice, but it should be considered as support to standard approved treatments. Despite therapeutic monoclonal antibodies have been lastly introduced in therapy, their extreme potentiality is reflected by the large number of approved molecules, addressed toward different immunological targets and able to heavily influence the prognosis and quality of life of a wide range of different diseases.
Preexisting Autoantibodies Predict Efficacy of Oral Insulin to Cure Autoimmune Diabetes in Combination With Anti-CD3

We have previously developed a combination therapy (CT) using anti-CD3 monoclonal antibodies together with islet-(auto)antigen immunizations that can more efficiently reverse type 1 diabetes (T1D) than either entity alone. However, clinical translation of antigen-specific therapies in general is hampered by the lack of biomarkers that could be used to optimize the modalities of antigen delivery and to predict responders from nonresponders. To support the rapid identification of candidate biomarkers, we systematically evaluated multiple variables in a mathematical disease model. The in silico predictions were validated by subsequent laboratory data in NOD mice with T1D that received anti-CD3/oral insulin CT. Our study shows that higher anti-insulin autoantibody levels at diagnosis can distinguish responders and nonresponders among recipients of CT exquisitely well. In addition, early posttreatment changes in proinflammatory cytokines were indicative of long-term remission. Coadministration of oral insulin improved and prolonged the therapeutic efficacy of anti-CD3 therapy, and long-term protection was achieved by maintaining elevated insulin-specific regulatory T cell numbers that efficiently lowered diabetogenic effector memory T cells. Our validation of preexisting autoantibodies as biomarkers to distinguish future responders from nonresponders among recipients of oral insulin provides a compelling and mechanistic rationale to more rapidly translate anti-CD3/oral insulin CT for human T1D.
Multi-Stage Complex Contagions

The spread of ideas across a social network can be studied using complex contagion models, in which agents are activated by contact with multiple activated neighbors. The investigation of complex contagions can provide crucial insights into social influence and behavior-adoption cascades on networks. In this paper, we introduce a model of a multi-stage complex contagion on networks. Agents at different stages-which could, for example, represent differing levels of support for a social movement or differing levels of commitment to a certain product or idea-exert different amounts of influence on their neighbors. We demonstrate that the presence of even one additional stage introduces novel dynamical behavior, including interplay between multiple cascades, which cannot occur in single-stage contagion models. We find that cascades-and hence collective action-can be driven not only by high-stage influencers but also by low-stage influencers.
Migration in Single Chip Multiprocessors

Global communication costs in future single-chipmultiprocessors will increase linearly with distance. In this paper,we revisit the issues of locality and load balance in order totake advantage of these new costs. We present a technique whichsimultaneously migrates data and threads based on vectors specifyinglocality and resource usage. This technique improves performanceon applications with distinguishable locality and imbalancedresource usage. 64% of the ideal reduction in execution timewas achieved on an application with these traits while no improvementwas obtained on a balanced application with little locality.
Responsible assessment of what research? Beware of epistemic diversity!

Schönbrodt et al. (2022) and Gärtner et al. (2022) aim to outline in the target articles why and how research assessment could be improved in psychological science in accordance with DORA, resulting in a focus on abandoning the impact factor as an indicator for research quality and aligning assessment with methodological rigor and open science practices. However, I argue that their attempt is guided by a rather narrow statistical and quantitative understanding of knowledge production in psychological science. Consequently, the authors neglect the epistemic diversity within psychological science, leading to the potential danger of committing epistemic injustice. Hence, the criteria they introduce for research assessment might be appropriate for some approaches to knowledge production; it could, however, neglect or systematically disadvantage others. Furthermore, I claim that the authors lack some epistemic (intellectual) humility about their proposal. Further information is required regarding when and for which approaches their proposal is appropriate and, maybe even more importantly, when and where it is not. Similarly, a lot of the proposed improvements of the reform movement, like the one introduced in the target articles, are probably nothing more than trial and error due to a lack of investigation of their epistemic usefulness and understanding of underlying mechanisms and theories. Finally, I argue that with more awareness about epistemic diversity in psychological science in combination with more epistemic (intellectual) humility, the danger of epistemic injustice could be attenuated.
Preserved Simple and Impaired Compound Movement After Infarction in the Territory of the Superior Cerebellar Artery

ABSTRACT: A patient with an infarct in the distribution of the right superior cerebellar artery was studied with regard to his ability to make simple movements (visually triggered, self-terminated ballistic wrist movements), and compound movements (reaching to a visual target and precision pinch of a seen object). Movements on the right side of the body alone were affected. Control movements were made by the normal left upper extremity. Wrist movement on the right side was normal in reaction time, direction, peak velocity, and end-point position control ascompared to the left. By contrast, both reaching and pinching movements on the right were impaired. Reaching movements showed marked decomposition of the compound elbow-shoulder movement into seriatim simple movements madealternately at elbow and shoulder. Pinching movements were not made, and instead winkling movements (a movement of index alone) were substituted. These results are compared to similar results of controlled inactivation of the cerebellar dentate nucleus in monkeys. We conclude that one function of the cerebellum may be to combine elements in the movement repertoires of downstream movement generators. When that ability is lost, a strategy may be voluntarily adopted of using the preserved simple movements in place of the impaired compound movements.
Milieux continus généralisés et matériaux hétérogènes

La microstructure des materiaux est un levier essentiel pour l'optimisation des proprietes mecaniques des structures. Le passage a la description continue de la matiere conduit souvent a une perte significative d'informations. Les developpements de la mecanique des milieux continus, des moyens de calcul numerique et des techniques experimentales permettent aujourd'hui de rendre compte des effets d'echelle observes en mecanique des materiaux et des structures. Un cadre thermomecanique general est propose pour integrer dans la modelisation continue la morphologie complexe des microstructures ainsi que les longueurs caracteristiques associees qui vont du nanometre a l'echelle macroscopique. Les nombreuses applications proposees font appel au calcul par elements finis. Elles vont des structures composites aux mousses solides, en passant par les mono et polycristaux metalliques.
Duration of remission phase of 36 Korean patients with glossopharyngeal neuralgia

Background Glossopharyngeal neuralgia has the characteristic of a long remission phase between the pain attack phases. Although the concept of remission is very important for the treatment of patients with glossopharyngeal neuralgia, due to the rarity of the disease, clear statistical studies on the remission phase for glossopharyngeal neuralgia are almost non-existent. Methods Previous chart reviews and phone interviews were conducted on a total of 38 patients. Among these study subjects, two patients were excluded because of their known secondary glossopharyngeal neuralgia from their brain tumors. Hence, the average duration of remission was investigated on 36 patients with idiopathic glossopharyngeal neuralgia. Results For the 27 patients who experienced their first remission, the average duration of the remission was 3.1 years. Among them, the average duration of the second remission of the 17 patients was 2.5 years, and for 4 patients who experienced a third remission, the average duration of the remission phase was 1.9 years. Conclusions The difference in the mean duration of the remission phase of the 1st, 2nd, and 3rd are not statistically significant, and the occurrence rate of the left or right side and of the gender, male or female, are also statistically insignificant. However, it is possible to infer that a patient might face a pain attack phase when his or her remission phase has lapsed for about three years. This prediction may be applied when developing treatment plans for patients with glossopharyngeal neuralgia.
Solvent-Free Oxidation of Primary Alcohols to Aldehydes Using Au-Pd/TiO2 Catalysts

The oxidation of alcohols to aldehydes with O2 in place of stoichiometric oxygen donors is a crucial process for the synthesis of fine chemicals. However, the catalysts that have been identified so far are relatively inactive with primary alkyl alcohols. We showed that Au/Pd-TiO2 catalysts give very high turnover frequencies (up to 270,000 turnovers per hour) for the oxidation of alcohols, including primary alkyl alcohols. The addition of Au to Pd nanocrystals improved the overall selectivity and, using scanning transmission electron microscopy combined with x-ray photoelectron spectroscopy, we showed that the Au-Pd nanocrystals were made up of a Au-rich core with a Pd-rich shell, indicating that the Au electronically influences the catalytic properties of Pd.
Solving QBF with SMV

The possibility of solving the Quantiﬁed Boolean Formulae (QBF) problems using the SMV system is a consequence of two well-known theoretical results: the membership of QBF to PSPACE, and the PSPACE-hardness of LTL (and therefore, of SMV ). Nevertheless, such results do not imply the existence of a reduction that is also of practical utility. In this paper, we show a reduction from QBF to SMV that is linear (instead of cubic), and uses a constant-size speciﬁcation. This new reduction has three applications the previous one has not: ﬁrst, it allows for solving QBF problems using SMV -like systems, which are now more developed than direct QBF solvers; second, we can use it to verify whether the performance behavior of direct QBF solvers is intrinsic of the problem, or rather an eﬀect of the solving algorithm; third, random hard SMV instances can be easily generated by reduction from QBF hard instances (whose generation method is now established).
An Application of Named Data Network on InterPlanetary File System

Interplanetary File System (IPFS) is a peer-to-peer distributed file system. It enables users to publish and retrieve contents with only an ID of the content. But IPFS suffers from high delay in publishing and retrieving contents. The reason is that IPFS uses Kademlia to calculate the location of contents. This means many message exchanges among IPFS peers. In this paper, we propose to use Named Data Networking to replace IPFS's Kademlia search as a way to improve the overall performance. Our current test results in a private network suggests great improvement when IPFS publish or retrieve contents.
Backward and forward drift trajectories of sea ice in the northwestern Arctic Ocean in response to changing atmospheric circulation

To track sea ice motion, four ice‐tethered buoys were deployed at 84.6°N and 144.3°W, 87.3°N and 172.3°W, 81.1°N and 157.4°W, and 82.8°N and 166.5°W in summers of 2008, 2010, 2014, and 2016, respectively. In addition, the remote sensed ice motion product provided by National Snow and Ice Data Center was used to reconstruct backward and forward ice drifting trajectories from the buoy deployment sites during 1979–2016. Sea ice in the central Arctic Ocean in late summer is trending to have travelled from lower latitudes, and to be advected to the region more involved in the Transpolar Drift Stream (TDS) during 1979–2016. The strengthened TDS has played a crucial role in Arctic sea ice loss from a dynamic perspective. The trajectory of ice is found to be significantly related to atmosphere circulation indices. The Central Arctic Index (CAI), defined as the difference in sea level pressure between 84°N, 90°W and 84°N, 90°E, can explain 34–40% of the meridional displacement along the backward trajectories, and it can explain 27–40% of the zonal displacement along the forward trajectories. The winter Beaufort High (BH) anomaly can explain 18–27% of the zonal displacement. Under high positive CAI values or high negative winter BH anomalies, floes from the central Arctic tended to be advected out of the Arctic Ocean through Fram Strait or other marginal gateways. Conversely, under high negative CAI values or high positive winter BH anomalies, ice tended to become trapped within a region close to the North Pole or it drifted into the Beaufort Gyre region. The long‐term trend and spatial change in Arctic surface air temperature were more remarkable during the freezing season than the melt season because most energy from the lower troposphere is used to melt sea ice and warm the upper ocean during summer.
The Role Of Land Deed Making Officials (Ppat) To Prevent Agricultural Land Conversion For Food Security In Madiun Regency

To find out the role of land deed making officials (PPAT) in agricultural land conversion policies in Madiun Regency and find out the factors that cause agricultural land conversion in Madiun Regency and what are the legal consequences. This research uses an empirical juridical approach or Socio Legal Research. The research approach used in socio-legal research uses an interdisciplinary approach. The research specification that the author uses is the descriptive research specification of the analysis. The results of the research obtained are that the role of Land Deed Making Officials (PPAT) in providing assistance in managing agricultural land conversion is an implementation of the provisions of Article 7 paragraph (1) of Government Regulation Number 24 of 2016 amending Government Regulation Number 37 of 1998 concerning Regulations of Land Deed Making Officials. In the provisions of the article, it is explained that the Land Deed Making Officer (PPAT) is guided by the Regulation of the Head of the National Land Agency Number 2 of 2011 concerning Guidelines for Land Technical Considerations in the Issuance of Location Permits, Implementation of Location Permits, and Land Use Change Permits and other related laws and regulations. Factors that cause agricultural land conversion in Madiun Regency and its significant legal consequences are factors such as the age of farmers and the level of dependence of farmers on food agricultural land have not significantly affected the level of conversion of agricultural food land in Madiun Regency. Asee the function of agricultural to non-agricultural land in the Madiun Regency area.
Joint Source–Channel Codes for MIMO Block-Fading Channels

We consider transmission of a continuous amplitude source over an L-block Rayleigh-fading Mt x Mr multiple-input multiple-output (MIMO) channel when the channel state information is only available at the receiver. Since the channel is not ergodic, Shannon's source-channel separation theorem becomes obsolete and the optimal performance requires a joint source-channel approach. Our goal is to minimize the expected end-to-end distortion, particularly in the high signal-to-noise ratio (SNR) regime. The figure of merit is the distortion exponent, defined as the exponential decay rate of the expected distortion with increasing SNR. We provide an upper bound and lower bounds for the distortion exponent with respect to the bandwidth ratio among the channel and source bandwidths. For the lower bounds, we analyze three different strategies based on layered source coding concatenated with progressive superposition or hybrid digital/analog transmission. In each case, by adjusting the system parameters we optimize the distortion exponent as a function of the bandwidth ratio. We prove that the distortion exponent upper bound can be achieved when the channel has only one degree of freedom, that is L = 1, and min{Mt ,Mr} =1. When we have more degrees of freedom, our achievable distortion exponents meet the upper bound for only certain ranges of the bandwidth ratio. We demonstrate that our results, which were derived for a complex Gaussian source, can be extended to more general source distributions as well.
Hidden in Time, Revealed in Frequency: Spectral Features and Multiresolution Analysis for Encrypted Internet Traffic Classification

In recent years, privacy and security concerns have led to the wide adoption of encrypted protocols, making encrypted traffic a major portion of overall communications online. The transition into more secure protocols poses significant challenges for internet service providers to utilize traditional traffic classification techniques in order to guarantee the Quality of Service (QoS), Quality of Experience (QoE), and cyber-security of their customers. In this work, we introduce two methods, namely STFT-TC and DWT-TC, leveraging compact time-series representation coupled with well-known techniques from the field of Digital Signal Processing (DSP): the short-time Fourier transform (STFT) and the discrete wavelet transform (DWT). The STFT-TC method extracts a suite of statistical and spectral features from the magnitude spectrogram, offering a fresh perspective on interpreting and classifying encrypted traffic. The DWT-TC method extracts statistical features from the wavelet coefficients and incorporates unique characteristics that describe the signal's shape and energy distribution. Evaluating our methods on two public QUIC datasets demonstrated improvements in accuracy of up to 5.7%. Similarly, the F1-scores also showed enhancements, with increments of up to 5.9% for the same datasets.