Miracle-dz/UniFAR-FTUs huggingface dataset:
AirTap : a multimodal interactive interface platform with free-space cutaneous haptic feedback via toroidal air-vortices

With recent developments in visual interface technologies, which are now capable of delivering rich and highly immersive experiences, the need has arisen to develop equally capable hapticfeedback technologies that can complement and be easily integrated with their visual counterparts to enable fully immersive, multimodal, interactive experiences. Moreover, with touchscreen devices rapidly replacing physical controls, as in the case of automobiles and industrial equipment, there has been a loss of natural haptic cues and an increased need for operators to divert their attention from the task at hand into the touchscreen just to find the locations of different controls – which previously they could feel by relying on haptic cues without having to employ the visual sense. This is especially concerning for drivers, where even a brief loss of attention could lead to catastrophic consequences. This work aims to begin addressing these problems by presenting an approach – based on air-vortex-ring, free-space haptics – that enables existing visual interfaces to be augmented with haptic feedback capabilities. After presenting our goals and motivations for this work, the latest approaches to haptic feedback interaction, and a discussion of the advantages and limitations of each approach, we describe the toroidal air-vortex approach to free-space haptics in full detail. We then present a multimodal interactive interface system that we built based on that approach, named AirTap, which is the main focus of this thesis. AirTap is an open-source system that uses 16 air-vortex-ring generators to deliver targeted, localized, unambiguous, free-space haptic feedback onto a user’s hand when interacting with 3D virtual objects on a stereoscopic display. We show how AirTap can serve as a multimodal interactive interface, as a research tool for studying air-vortex-ring based haptics, and as an open platform for creative expressions. Finally, we provide an extensive discussion of how our system can be extended beyond its present form and adopted for automotive and other applications. Thesis Supervisor Dr. V. Michael Bove, Jr. Principal Research Scientist MIT Media Lab
Multi-Relational Learning with SQL All the Way

Which doctors prescribe which drugs to which patients? Who upvotes which answers on what topics on Quora? Who has followed whom on Twitter/Weibo? These relationships are all visible in data, and they all contain a wealth of information that could be extracted to be knowledge/wisdom. Statistical Relational Learning (SRL) is a recent growing field which extends traditional machine learning from single-table to multiple inter-related tables. It aims to provide integrated statistical analysis of heterogeneous and interdependent complex data. In the thesis, I focus on modelling the interactions between different attributes and the link itself for such complex heterogeneous and richly interconnected data. First, I describe the FactorBase system which combines advanced analytics from statistical-relational machine learning (SRL) with database systems. Within FactorBase, all statistical objects are stored as first-class citizens as well as raw data. This new SQL-based framework pushes the multi-relational model discovery into a relational database management system. Secondly, to solve the scalability issue of computing cross-table sufficient statistics, a new Virtual Join algorithm is proposed and implemented in FactorBase. Bayesian networks (BNs) and Dependency Networks (DNs) are two major classes of SRL. Thirdly, I utilize FactorBase to extend the state-of-the-art learning algorithm for BN of generative modelling with link uncertainty. The learned model captures correlations between link types, link features, and attributes of nodes, simultaneously. Finally, a fast hybrid approach is proposed for instance level discriminative learning of DNs with competitive predictive power but substantially better scalability.
An inclusive search for supersymmetry in 13 TeV proton-proton collision data

Author(s): Bradmiller-Feld, John W. | Advisor(s): Richman, Jeffrey D | Abstract: The second run of $pp$ collisions at the Large Hadron Collider (LHC) at CERN marks one of the most anticipated eras in the field of particle physics. Already the largest and most powerful science experiment of its kind, the LHC has outdone itself, running at a record center of mass energy of $\sqrt{s}=13$ TeV and colliding protons at rates of over 600 million collisions per second. The incredible performance of the machine allows for unprecedented exploration of the TeV scale. No elementary particles have ever been observed at these energies, yet many are hypothesized as extensions to the standard model (SM), the most complete and widely accepted model of elementary particles and their interactions. Among the most sought-after hypothetical particles are those proposed by the theory of supersymmetry (SUSY). In this thesis, results are presented from a generic search for strongly producedsupersymmetric particles in $pp$ collisions in the multijet + missingtransverse momentum final state. The largest analyzed data sample corresponds to 35.9fb$^{-1}$ recorded by the CMS experiment at $\sqrt{s}=13$ TeV in 2016. This searchis motivated by SUSY models that avoidfine-tuning of the Higgs mass. In such models, strongly produced SUSY particles,including the gluino and top squark, are predicted to have masses onthe order of a TeV. These particles also have some of the highestproduction cross sections in SUSY and give rise to final states withdistinct, high jet multiplicity event signatures. To make the analysissensitive to a wide range of such final states, events are classifiedby the number of jets, the scalar sum of the transverse momenta of thejets, the vector sum of the transverse momenta of the jets, and thenumber of b-tagged jets. All SM backgrounds are measured using dedicated control samples in data. No significantexcess is observed beyond the measured SM expectation. The results areinterpreted as limits on simplified SUSY models. In these models,gluinos with masses as high as 1970 GeV and squarks with masses as high as 1450 GeV are excluded at 95\% CL forscenarios with low $\tilde{\chi}_{1}^{0}$ mass, far exceeding the limitsset in Run I.
Modeling supermassive black hole dynamics in galactic-scale numerical simulations

The presence of supermassive black holes (SMBHs) is ubiquitous in all massive galaxies in the local Universe. In the standard cosmological model, galaxies grow in a process of hierarchical merging and through accretion of matter from the intergalactic medium. Correspondingly, SMBHs grow by accreting gas from their surroundings and through merging with other SMBHs. Thus, present-day SMBHs are expected to have a complicated past merger history. Merging SMBHs leave imprints both on the central regions of their host galaxies and the gravitational wave background. In this thesis, which consists of four peer-reviewed publications, we investigate SMBH binary dynamics in realistic galactic environments and study the effect of merging SMBHs on their early-type host galaxies. For this research, a novel numerical simulation code ketju was developed. The first two publications present the simulation code ketju. The ketju code combines the widely-used galactic-scale simulation code gadget-3 and an extremely accurate small-scale SMBH dynamics integrator ar-chain. The numerical methods used in ketju and their practical implementation are thoroughly presented. In addition, we validate the performance of ketju in comparison simulations with direct N-body codes used in the literature. The energy conservation of the code and parallel scaling behaviour are also demonstrated. We study the effect of the chosen stellar mass resolution on the evolution of the SMBH binaries in a series of galaxy merger simulations. We find that the dependence of the SMBH binary hardening rate on the mass resolution of the simulation is weaker if more realistic multi-component galaxy initial conditions are used. Finally, we show that with a proper treatment of SMBH dynamics in galactic-scale simulations, SMBH mergers are delayed by a few 100 million years compared to the SMBH merger criteria commonly used in the literature. The last two articles study the formation of large stellar cores in massive elliptical galaxies. Using ketju, we run a series of early-type galaxy merger simulations
Evaluación del uso de LiDAR discreto, full-waveform y TLS en la clasificación por composición de especies en bosques mediterráneos

LiDAR technology –airborne and terrestrial- is becoming more relevant in the development of forest inventories, which are crucial to better understand and manage forest ecosystems. In this study, we assessed a classification of species composition in a Mediterranean forest following the C4.5 decision tree. Different data sets from airborne laser scanner full-waveform (ALSFW), discrete (ALSD) and terrestrial laser scanner (TLS) were combined as input data for the classification. Species composition were divided into five classes: pure Quercus ilex plots (QUI); pure Pinus halepensis dense regenerated (HALr); pure P. halepensis (HAL); pure P. pinaster (PIN); and mixed P. pinaster and Q. suber (mPIN). Furthermore, the class HAL was subdivided in low and dense understory vegetation cover. As a result, combination of ALSFW and TLS reached 85.2% of overall accuracy classifying classes HAL, PIN and mPIN. Combining ALSFW and ALSD, the overall accuracy was 77.0% to discriminate among the five classes. Finally, classification of understory vegetation cover using ALSFW reached an overall accuracy of 90.9%. In general, combination of ALSFW and TLS improved the overall accuracy of classifying among HAL, PIN and mPIN by 7.4% compared to the use of the data sets separately, and by 33.3% with respect to the use of ALSD only. ALSFW metrics, in particular those specifically designed for detection of understory vegetation, increased the overall accuracy 9.1% with respect to ALSD metrics. These analyses show that classification in forest ecosystems with presence of understory vegetation and intermediate canopy strata is improved when ALSFW and/or TLS are used instead of ALSD.
PENGARUH KOMPETENSI DAN MOTIVASI TERHADAP KEPUASAN KERJA DAN KINERJA DOSEN FAKULTAS TARBIYAH DAN KEGURUAN UIN SULTAN SYARIF KASIM RIAU

Penelitian ini dilakukan pada fakultas tarbiyah dan keguruan UIN Suska Riau dengan tujuan untuk mengetahui pengaruh kompetensi dan motivasi terhadap kepuasan kerja dan kinerja dosen fakultas tarbiyah dan keguruan UIN Suska Riau. Populasi dalam penelitian ini berjumlah 191 orang, teknik pengambilan sampel nya menggunakan metode purposive sampling yaitu sebanyak 129 orang. sumber data yang digunakan adalah data primer dan data sekunder. teknik pengumpulan data melalui kuesioner dan interview, metode analisis yang digunakan pada penelitian ini adalah metode deskriptif kuantitatif, analisis secara parsial dan simultan (analisis regresi berganda dua tahap) dengan bantuan program SPSS versi. 17.Berdasarkan hasil penelitian secara simultan (bersama-sama) kedua variabel yaitu kompetensi dan motivasi berpengaruh secara signifikan terhadap kepuasan kerja. variabel kompetensi berpengaruh signifikan terhadap variabel kepuasan kerja, dan variabel motivasi berpengaruh signifikan terhadap kepuasan kerja. kemudian kepuasan kerja juga mempunyai pengaruh yang signifikan terhadap kinerja dosen. Pihak fakultas hendaknya selalu berupaya memperhatikan dan memberikan kepuasan kerja dosen melalui pemberian fasilitas sarana dan prasarana yang menunjang kerja, pemberian penghargaan dibidang akademis kemudian mendukung program pendidikan lanjut dalam upaya meningkatkan kinerja.
Learning environments based on inspectable student models

Inspectable student models have the potential to enhance computer-based learning environments. Researchers in the area have begun to explore the potential of externalizing the model to students and teachers in order to support reflection, knowledge awareness, and collaborative and negotiated assessment. A framework for learning environments based on inspectable student models has been proposed Human and computational components in the framework can interact with student models through a technological platform that includes a set of inspectable student modelling tools (i.e. VISMod, ConceptLab, and SMV), a Bayesian student modelling server (SModel server) and several guidance mechanisms (i.e. interacting with a human peer, interacting with an artificial guiding agent, or negotiating the student model with a teacher) that were used to guide student interaction with the student model. A learning environment based on this framework (The Learning Game - Java) has been implemented and used in a study focussed on exploring student model accuracy and student reflection. Results showed that using a Bayesian student model, neither the student view nor the system/teacher view was as accurate as the aggregate view of the model (higher correlation coefficients with a group of experts). In addition, it was found that there was evidence of different degrees of student reflection. Although the initial results are promising, there are still many challenges to face both in the lab and in real deployments. This research shows that inspectable student models have an important role to play in modern computer-based learning environments.
Analysis of flat-topped Gaussian vortex beam scintillation properties in atmospheric turbulence

Abstract. We analyze the scintillation properties of a flat-topped Gaussian vortex beam propagating in a weakly turbulent atmosphere. We utilize a random phase screen model to perform this analysis. We evaluate the scintillation against the changes of topological charge, beam order, operating wavelength, receiver aperture side length, and source size parameters. The results show that using a flat-topped Gaussian vortex beam with a high topological charge causes a reduction in scintillation. Increasing the receiver aperture side length reduces scintillation level. As the source size increases, scintillation decreases. Our results also indicate that a flat-topped Gaussian vortex beam with high topological charges has less scintillation than the fundamental Gaussian beam. We believe that our findings will be useful in improving the performance of next-generation optical communication links and networks.
Ladakh: diverse, high-altitude extreme environments for off-earth analogue and astrobiology research

Abstract This paper highlights unique sites in Ladakh, India, investigated during our 2016 multidisciplinary pathfinding expedition to the region. We summarize our scientific findings and the site's potential to support science exploration, testing of new technologies and science protocols within the framework of astrobiology research. Ladakh has several accessible, diverse, pristine and extreme environments at very high altitudes (3000–5700 m above sea level). These sites include glacial passes, sand dunes, hot springs and saline lake shorelines with periglacial features. We report geological observations and environmental characteristics (of astrobiological significance) along with the development of regolith-landform maps for cold high passes. The effects of the diurnal water cycle on salt deliquescence were studied using the ExoMars Mission instrument mockup: HabitAbility: Brines, Irradiance and Temperature (HABIT). It recorded the existence of an interaction between the diurnal water cycle in the atmosphere and salts in the soil (which can serve as habitable liquid water reservoirs). Life detection assays were also tested to establish the best protocols for biomass measurements in brines, periglacial ice-mud and permafrost melt water environments in the Tso-Kar region. This campaign helped confirm the relevance of clays and brines as interest targets of research on Mars for biomarker preservation and life detection.
Pengaruh Kompensasi Dan Motivasi Kerja Terhadap Kinerja Karyawan Pada Pusat Penelitian Kelapa Sawit (PPKS)

Penelitian ini bertujuan untuk mengetahui pengaruh kompensasi dan motivasikerja terhadap kinerja karyawan pada Pusat Penelitian Kelapa Sawit (PPKS)Kebun Bukit Sentang Desa Securai Kecamatan BabalanKabupaten Langkat.Penelitian ini merupakan jenis penelitian kuantitatif dengan metode pengambilansampel adalah teknik nonprobability sampling dengan sampling jenuh danditetapkan jumlah sampel sebanyak 47 responden. Uji hipotesis yang dilakukanmelalui uji parsial (uji t), uji simultan (uji F), dan uji koefisien determinasi (R2). Dari analisis data diperoleh persamaan regresi Y= 2,840 + 0,106X1+ 0,262X2. Nilai konstanta sebesar 2,840 merupakan nilai kinerja karyawan yang dipengaruhi oleh variabel kompensasi dan motivasi kerja. Koefisien variabel kompensasi 0,106 memberikan pengaruh positif terhadap kinerja karyawan dan bila kompensasi ditingkatkan maka akan meningkatkan kinerja karyawan 0,106. Koefisien variabel motivasi kerja sebesar 0,262 memberikan pengaruh positif terhadap kinerja karyawan dan bila motivasi kerja ditingkatkan maka akan meningkatkan kinerja karyawan sebesar 0,262. Secara parsial (melalui analisis uji t) kedua varibel bebas yaitu kompensasi dan motivasi kerja tidak ada yang berpengaruh secara signifikan terhadap kinerja karyawan. Sedangkan secara simultan (melalui uji F) kedua variabel bebas yaitu kompensasi dan motivasi kerja berpengaruh secara positif dan tidak signifikan terhadap kinerja karyawan pada Pusat Penelitian Kelapa Sawit (PPKS) Kebun Bukit Sentang Desa Securai Kecamatan BabalanKabupaten Langkat. Dari hasil koefisien determinasi (R2) diketahui bahwa variabel kompensasi dan motivasi kerja mempengaruhi kinerja karyawan pada Pusat Penelitian Kelapa Sawit (PPKS) Kebun Bukit Sentang Desa Securai Kecamatan Babalan Kabupaten Langkat sebesar 9,4%, dan sisanya sebesar 90,6% dipengaruhi oleh variabel lain seperti pengetahuan, teknis, ketergantungan terhadap orang lain, kebijakan, kemampuan karyawan, kehadiran, kepemimpinan, dan minat. Kata kunci: Kompensasi, Motivasi, Kinerja
Large spin-orbit torque observed in epitaxial SrIrO3 thin films

Semimetallic iridate compound SrIrO3 epitaxial films have been deposited by off-axis sputtering, exhibiting excellent crystalline quality as well as smooth surfaces. By performing second-harmonic Hall measurements on a series of SrIrO3/Co1−xTbx bilayers, we quantitatively determined the spin-to-charge interconversion efficiency θ SH of SrIrO3 and discovered a systematic temperature and film thickness dependent evolution behavior. Notably, the measured θ SH reaches a remarkably large number of ∼1.1 at room temperature, which is significantly larger than the value of 5d transition metals and comparable to the values reported in some topological material systems. Our findings are further corroborated by ferromagnetic resonance-driven spin pumping studies in SrIrO3/Py bilayers, highlighting the significant opportunities offered by the iridate compounds in designing next-generation energy-efficient multifunctional spin Hall devices.
The ARMM System: An Optimized Mobile Electromagnetic Coil for Non-Linear Actuation of Flexible Surgical Instruments

Automation of flexible surgical instruments requires the development of robotic technologies capable of small-scale power transmission. Magnetic actuation has successfully been used for that purpose. Nevertheless, current systems for magnetic actuation suffer from small workspaces or poor bandwidth of magnetic field control. In this work, we design, develop, and test a novel magnetic actuation system called Advanced Robotics for Magnetic Manipulation (ARMM). The ARMM system employs a 6 DoF mobile electromagnetic coil capable of generating prescribed magnetic fields and gradients. The mobile coil approach allows for easy scaling of the actuation workspace, which depends on the range of robotic arm, and in our case spans up to 1.3 m. Due to limited end-effector payload of the robotic arm used in the ARMM system, the mobile coil has been designed using an optimization routine. For a given mass and heat dissipation constraints, this routine provides the coil geometry that maximizes the average magnetic field generated in the target region. Since the Vacoflux core of the fabricated coil saturates within operational conditions, we propose an actuation strategy employing an online-updated iterative map technique. Using this map, the ARMM system allows for precise generation of prescribed magnetic fields and gradients at the point of interest, while taking into account the effects of the non-linearities due to core saturation. The strategy is validated experimentally, showing the average error of 2.34% for magnetic field and 7.20% for the magnetic field gradient.
Left dihedral codes over Galois rings ${\rm GR}(p^2,m)$

Let $D_{2n}=\langle x,y\mid x^n=1, y^2=1, yxy=x^{-1}\rangle$ be a dihedral group, and $R={\rm GR}(p^2,m)$ be a Galois ring of characteristic $p^2$ and cardinality $p^{2m}$ where $p$ is a prime. Left ideals of the group ring $R[D_{2n}]$ are called left dihedral codes over $R$ of length $2n$, and abbreviated as left $D_{2n}$-codes over $R$. Let ${\rm gcd}(n,p)=1$ in this paper. Then any left $D_{2n}$-code over $R$ is uniquely decomposed into a direct sum of concatenated codes with inner codes ${\cal A}_i$ and outer codes $C_i$, where ${\cal A}_i$ is a cyclic code over $R$ of length $n$ and $C_i$ is a skew cyclic code of length $2$ over an extension Galois ring or principal ideal ring of $R$, and a generator matrix and basic parameters for each outer code $C_i$ is given. Moreover, a formula to count the number of these codes is obtained, the dual code for each left $D_{2n}$-code is determined and all self-dual left $D_{2n}$-codes and self-orthogonal left $D_{2n}$-codes over $R$ are presented, respectively.
ANALISIS PENGARUH MAKRO EKONOMI TERHADAP KREDIT BERMASALAH PERBANKAN INDONESIA

ABSTRACT Penelitian ini memiliki tujuan menganalisis indikator makro ekonomi yang mempengaruhi ratio NPL Perbankan Indonesia. Jenis penelitian ini termasuk penelitian deskriptif dengan pengamatan langsung terhadap data sekunder. Analisis data yang digunakan dengan menggunakan metode analisis regresi linear berganda yang menggunakan data time series periode J anuari 20 12 – Desember 201 6. Metode analisis regresi linear berganda digunakan untuk melihat pengaruh nilai tukar rupiah, BI rate,and inflasi. Semua tahap pengolahan data penelitian ini menggunakan alat perangkat lunak Eviews Versi 7 . 0. Dari penelitian ini diperoleh hasil bahwa nilai tukar atau kurs , BI rate dan inflasi memiliki pengaruh terhadap ratio NPL. Keyword : NPL, Foreign Exchange, BI Rate, Inflation
Reinsurance premium principles based on weighted loss functions

ABSTRACT In this paper, we propose new reinsurance premium principles that minimize the expected weighted loss functions and balance the trade-off between the reinsurer's shortfall risk and the insurer's risk exposure in a reinsurance contract. Random weighting factors are introduced in the weighted loss functions so that weighting factors are based on the underlying insurance risks. The resulting reinsurance premiums depend on both the loss covered by the reinsurer and the loss retained by the insurer. The proposed premiums provide new ways for pricing reinsurance contracts and controlling the risks of both the reinsurer and the insurer. As applications of the proposed principles, the modified expectile reinsurance principle and the modified quantile reinsurance principle are introduced and discussed in details. The properties of the new reinsurance premium principles are investigated. Finally, the comparisons between the new reinsurance premium principles and the classical expectile principle, the classical quantile principle, and the risk-adjusted principle are provided.