Miracle-dz/UniFAR-FTUs huggingface dataset:
Robot-Enhanced Language Learning for Children in Norwegian Day-Care Centers

We transformed the existing learning program Language Shower, which is used in some Norwegian day-care centers in the Grorud district of Oslo municipality, into a digital solution using an app for smartphone or tablet with the option for further enhancement of presentation by a NAO robot. The solution was tested in several iterations and multiple day-care centers over several weeks. Measurements of the children’s progress across learning sessions indicate a positive impact of the program using a robot as compared to the program without robot. In-situ observations and interviews with day care center staff confirmed the solution’s many advantages, but also revealed some important areas for improvement. In particular, the speech recognition needs to be more flexible and robust, and special measures have to be in place to handle children speaking simultaneously.
Raw Speech-to-Articulatory Inversion by Temporal Filtering and Decimation

We propose a novel sequence-to-sequence acoustic-to-articulatory inversion (AAI) neural architecture in the temporal waveform domain. In contrast to traditional AAI approaches that leverage hand-crafted short-time spectral features obtained from the windowed signal, such as LSFs, or MFCCs, our solution directly process the input speech signal in the time domain, avoiding any intermediate signal transformation, using a cascade of 1D convolutional ﬁlters in a deep model. The time-rate synchronization between raw speech signal and the articulatory signal is obtained through a decimation process that acts upon each convolution step. Decimation in time thus avoids degradation phenomena observed in the conventional AAI procedure, caused by the need of framing the speech signal to produce a feature sequence that perfectly matches the articulatory data rate. Experimental evidence on the “Haskins Production Rate Comparison” corpus demonstrates the effectiveness of the proposed solution, which outperforms a conventional state-of-the-art AAI system leveraging MFCCs with an 20% relative improvement in terms of Pearson correlation coefﬁcient (PCC) in mismatched speaking rate conditions. Finally, the proposed approach attains the same accuracy as the conventional AAI solution in the typical matched speaking rate condition.
Deep Relative Geologic Time: A Deep Learning Method for Simultaneously Interpreting 3‐D Seismic Horizons and Faults

Extracting horizons and detecting faults in a seismic image are basic steps for structural interpretation and important for many seismic processing schemes. A common ground of the two tasks is to analyze seismic structures and they are related to each other. However, previously proposed methods deal with the tasks independently, and challenge remains in each of them. We propose a volume‐to‐volume neural network to estimate a relative geologic time (RGT) volume from a seismic volume, and this RGT volume is further used to simultaneously interpret horizons and faults. The network uses U‐shaped framework with attention mechanism to systematically aggregate multi‐scale information and automatically highlight informative features, and achieves high prediction accuracy with affordable computational costs. To train the network, we build thousands of 3‐D noisy synthetic seismic volumes and corresponding RGT volumes with realistic and various structures. We introduce a loss function based on structure similarity to capture spatial dependencies among seismic samples for better optimizing the network, and use multiple reasonable assessments to evaluate the predicted results. Trained by using synthetic data, our network outperforms the conventional approaches in recognizing structural features in field data examples. Once obtaining an RGT volume, we can not only obtain seismic horizons by simply extracting RGT constant surfaces but also detect faults that are indicated by lateral RGT discontinuities. To be able to deal with large seismic volumes, we further propose a workflow to first estimate sub‐volumes of RGT and merge them to obtain a full RGT volume without boundary artifacts.
Phylogenetic analysis of the family Megalopodidae (Coleoptera: Chrysomeloidea): better taxon‐sampling facilitates detection of new relationships and new taxa

The systematics of Megalopodidae is not adequately known, in spite of it being a relatively small group of phytophagous beetles. The first phylogenetic analysis of Megalopodidae with a comprehensive generic representation (25 genera of 30 described, 10 subgenera and 77 species) is undertaken. A parsimony analysis under equal and implied weights was carried out based on 147 adult and larval morphological characters. Subfamilies Palophaginae and Zeugophorinae were recovered as monophyletic, by contrast with Megalopodinae, which proved to be paraphyletic. Atelederinae are proposed as a new subfamily. Also, three tribes and three subtribes within Megalopodinae are proposed: Leucasteini trib.n. , Sphondyliini trib.n. and Megalopodini, the latter including Macrolophina subtrib.n. , Temnaspidina subtrib.n. and Megalopodina. The genera Macrolopha, Kuilua, Poecilomorpha, Temnaspis, Antonaria, Agathomerus, Megalopus and Bothromegalopus were recovered as non‐monophyletic. New delimitations of the polyphyletic genera Poecilomorpha and Macrolopha are proposed, Clythraxeloma is resurrected, and the subgenera of Agathomerus are suppressed. The following new combinations are proposed: Kuilua apicata (Fairmaire), K. nyassae (Jacoby), Poecilomorpha cribricollis (Pic), P. minuta (Pic), Clythraxeloma assamensis (Jacoby), C. bipartita (Lacordaeri), C. discolineata (Pic), C. downesii (Baly), C. gerstaeckeri (Westwood), C. laosensis (Pic), C. maculata (Pic), C. mouhoti (Baly), C. nigrocyanea (Motschulsky), C. pretiosa (Reineck), Temnaspis tricoloripes (Pic) and Barticaria faciatus (Dalman). Clythraxeloma cyanipennis Kraatz is a restored combination. Distribution patterns of Megalopodidae largely conform to the breakup of Gondwanaland, with its main clades having particular distributions: Andean‐Australian (Palophaginae), Ethiopian (Leucasteini, Sphondyliini, and Macrolophina), Neotropical (Ateledrinae and Megalopodina) and Ethiopian‐Oriental‐Palaearctic (Temnaspidina the result of a secondary expansion. Zeugophorinae present a worldwide distribution, except for the Neotropical and Andean regions, which may be the result of geodispersal. The findings of the present study also shed light on groups with taxonomic issues, where phylogenetic analyses are strongly needed.
Simulation and Experimental Verification of the Thermal Behaviour of Self-Written Waveguides

In this work, we investigated the optical response of a self-written waveguide (SWW) in detail by heating the structure from room temperature up to 60 °C. Previous results indicated a decrease in the optical transmission with increasing temperature for certain waveguide parameters. Based on new experimental measurements, we have identified material parameters resulting in opposite behaviour. An experimental setup was conceived to verify these results. Hereby, we were able to show that we can adjust material parameters such as refractive index and the corresponding density of the material by adapting the curing time applied during the fabrication of the waveguides. This, in turn, affects the material’s response during the heating process. We showed that a limitation of the external curing time changes the internal conditions of the SWW and the cladding in a manner that the numerical aperture increases with the temperature, which subsequently also results in an increase in the optical transmission. In this study, we explain this unexpected behavior of the SWW and point towards possible future applications.
Preparation and X-ray luminescence of Ba4±xCe3±xF17±x solid solutions

Single-phase BaF 2 :Ce solid solutions containing 30 – 40 mol. % cerium with the simultaneous entry of potassium into the crystal lattice in an amount of 0.7 – 0.8 mol. % were prepared by coprecipitation from aqueous nitrate solutions with potassium ﬂuoride as the ﬂuoridating agent. The cerium X-ray luminescence intensity increases in response to increasing cerium concentration contrary to the concentration quenching effect.
Rock Music: An Auditory Assessment of Knapping

ABSTRACT We explore and describe the auditory landscape that emerges from stone tool making. Using two trained musicians, we identify the pitches and octaves produced from percussion knapping. We also analyze whether knapping sounds vary by raw material, knapper skill level, or by flake size. Our results show that our chosen stone material types each displayed a single fundamental pitch (E or G) with one or two additional octaves present, and each individual nodule maintained the same pitch throughout reduction. Knappers of different skills produced no differences in pitch, but there were significant differences in octaves present. Different raw materials showed significant differences in both pitch and octaves present. Flake size did not seem to influence either pitch or octaves present. The acoustic landscape resulting from knapping was certainly even more diverse than what we documented here, and likely influenced hominin stone tool production and learning, cognition, language, and music.
Analisa Numerik Pada Kolom Beton Pracetak Mutu-Tinggi dengan Sambungan Grouted Sleeve

Penggunaan beton mutu tinggi dan tulangan mutu tinggi untuk konstruksi beton pracetak memiliki keunggulan yaitu mampu menyediakan kolom dengan ukuran kecil pada lantai yang rendah, dan kecepatan konstruksi yang lebih tinggi dibandingkan dengan beton bertulang mutu normal. Sambungan mekanis tipe grouted sleeve (GS) untuk tulangan longitudinal mutu tinggi pada zona sendi plastis dipilih karena kolom pracetak dengan sambungan GS memberikan perilaku yang sama dengan kolom beton bertulang monolit. Penelitian ini menyajikan analisis nonlinear perilaku seismik kolom beton pracetak berkurvatur ganda dengan sambungan GS pada ujung kolom-pondasi. Dimensi kolom yang digunakan yaitu 600x600 mm. Kuat tekan beton adalah 74 MPa. Tulangan mutu tinggi SD685 (kuat leleh 685 MPa) dan SD785 (kuat leleh 785 MPa) masing-masing digunakan untuk tulangan longitudinal dan transversal. Pemodelan numerik dilakukan menggunakan rangkaian program elemen-hingga, 3DNLFEA. Hasil menunjukkan prediksi model 3DNLFEA memiliki kesesuaian yang baik dengan hasil eksperimen. Pelelehan tulangan longitudinal, pola keretakan yang terjadi, dan kegagalan tulangan transversal disajikan.
HTLV-1 encephalitis

A 53-year-old woman developed subacute onset of upper limb weakness, sensory loss and cerebellar dysfunction. She was known to have human T-lymphotropic virus type 1 (HTLV-1)-associated myelopathy. MR scan of the brain showed extensive T2 hyperintensity within the deep and subcortical white matter, with punctate contrast enhancement. Cerebrospinal fluid (CSF) was lymphocytic with very high levels of HTLV-1 provirus in both CSF and peripheral blood lymphocytes. We diagnosed HTLV-1 encephalomyelitis and started high-dose methylprednisolone followed by a slow corticosteroid taper. She recovered well and regained functional independence in the upper limbs. Neurological manifestations of HTLV-1 infection extend beyond classical ‘tropical spastic paraparesis’ and are under-recognised. We review the literature on HTLV-1 encephalitis and discuss its diagnosis and management.
Metasurface‐based triple‐band high‐gain Fabry–Perot cavity antenna

A compact, high gain, single layer substrate‐superstrate configuration based Fabry–Perot cavity (FPC) microstrip patch antenna (MPA) is designed. It consists of a single‐frequency MPA on a substrate, along with a frequency‐selective surface (FSS) which acts as a metasurface‐superstrate. The FSS contains a periodic arrangement of unit cells in a square lattice, where each unit cell is structured by a simple design of H‐shape. It works as a partially reflecting surface and is used as a superstrate by mounting the FSS layer over the conventional patch antenna using a Teflon spacer. Our design of single layer and single resonance FSS structure is used to obtain triple‐band resonance on loading it as a superstrate on the MPA. The enhanced reflection phase of FSS plays a key role in obtaining triple‐band performance. The relationship between the cavity height and the cavity resonance frequency is the foremost reason to achieve triple‐band FPC‐MPA from a single resonance MPA. The prototype antenna is fabricated, and the measured results show that the FPC antenna yields a peak gain of nearly 9.30, 10.00, and 9.60 dB at 8.90, 9.63, and 11.49 GHz, respectively in broad‐side direction in both the planes. Gain enhancement of nearly 6, 4.50, and 5.50 dB, in all the three bands are achieved in both the planes, emphasizing the effect of stacking the superstrate on the conventional patch antenna. The triple‐band frequency response shows 3 dB gain bandwidths of 11.79%, 11.45%, and 9.56% at the three frequencies. A significant improvement in impedance bandwidth has been achieved in the measurements in all the three frequency bands, with the highest bandwidth improvement of 6.71% of the FPC antenna at 11.49 GHz. It is also reconfigurable as its operating frequency can be tuned within the X‐band (8–12 GHz) range by a small change in the spacer thickness. In addition, it shows rotation angle‐independent performance features.
Advanced Digital 3D Technology in the Combined Surgery-First Orthognathic and Clear Aligner Orthodontic Therapy for Dentofacial Deformity Treatment

Orthognathic surgery and orthodontic treatment are required for patients with dentofacial deformities to obtain an ideal facial esthetic with good functioning. Recently, characterized by the surgery-first approach, an integrated orthodontic–surgical treatment has been introduced as an emerging solution to dentofacial deformity treatment. The surgery-first approach is regarded to have less treatment time and quicker enhancement of a facial profile than the conventional orthodontic–surgical treatment. Moreover, the recent advances in computing and imaging have allowed the adoption of 3-dimensional (3D) virtual planning protocols in orthognathic surgery as well as digital orthodontic treatment, which enables a paradigm shift when realizing virtual planning properly. These techniques then allow the surgeon and orthodontist to collaborate, plan, and simulate the dentofacial deformity treatment before performing the whole procedure. Along this line, in this research article, we present an integrated treatment method for the realization of an effective deformity treatment. Specifically, we implemented the integrated 3D technique by combining it with the surgery-first orthognathic approach (SFOA) as a novel treatment method for the patients. The outcomes from the combined treatments of the patients with dentofacial deformity, in practice, have demonstrated that our proposed 3D technique in orthognathics and orthodontics using clear aligner therapy (e.g., Invisalign) can enhance the satisfactory level of the patient since the start of treatment then improve their quality of life. As a result, the combined techniques realize the novel integrated treatment method using 3D technology with the use of 3D imaging and modeling as a promising development trend of dentistry, which fits into the context of Dentistry 4.0 as a key enabler to the concept of sustainable dentistry development.
Turning tool life reliability analysis based on approximate Bayesian theory

Turning tool is a critical part of numerical control machining, and its reliability directly affects machining efficiency and stability of the entire system. Turning tool life reliability analysis has major theoretical and practical significance. Laboratory test data or information monitoring are one of commonly employed methods for assessing mechanical performance. This information is conducive for determining mechanical property distribution and assessing the structural reliability. Therefore, experimental monitoring data is incorporated into turning tool life reliability analysis to obtain adequate evaluation results. Considering tool wear process uncertainty, reliability model based on Taylor tool life equation is proposed. Approximate Bayesian theory is introduced to update reliability model parameters. According to obtained parameter posterior samples, tool life reliability is analyzed via Monte Carlo simulation. Effectiveness of the proposed method is validated against experimental samples of turning tool wear. Results of tool life reliability analysis are in accordance with the actual working conditions, which provides a theoretical basis for the selection of numerical control machining process parameters and tool replacement strategies.
Environmental Impact of Solar Home Systems in Sub-Saharan Africa

Solar home systems (SHS) represent one of the most promising technologies for a rapid and independent electrification in those areas of Sub-Saharan Africa (SSA) without access to electricity. This study addressed the environmental impact of SHS in SSA through updated life cycle inventories and five impact categories: greenhouse gases (GHG) emissions, fossil fuels, metal and water depletion and human toxicity. Sixteen scenarios were considered, including manufacturing, transportation, recycling and user-related variables, such as the installation site, adequacy of SHS user operation and battery lifespan. The results showed that lead-acid batteries were the largest contributor to environmental impact among the SHS components, accounting for up to 36–76% of the environmental impact indicators. Apart from the components, user training for SHS operation, with the goal of maximizing usable energy and battery lifetime, proved to be critical to achieve improvements in the energy payback time and GHG emissions, which (under scenarios of high solar resources) can reach the range of 5.3–7.1 years and 0.14–0.18 kgCO2 eq/kWh, respectively. In addition, SHS GHG emission factors were benchmarked with those of other electrification approaches, such as national grids, 100% PV and hybrid PV-diesel off-grid mini grids and off-grid diesel generators. SHS achieved GHG emission factor values equivalent to PV-based mini grids in most scenarios and was strikingly lower compared to SSA national grids and diesel generators.
Temporary business model innovation – SMEs’ innovation response to the Covid‐19 crisis

The Covid‐19 crisis has hit SMEs particularly hard. Numerous business models (BM) have been limited or rendered downright impossible due to decreased social contact. SMEs can respond to this exogenous crisis via temporary business model innovation (BMI). This empirical study investigates these temporary BMs using a multiple case study approach based on five SMEs in Austria, Germany, and Liechtenstein who within a short period of time applied their core competencies and networks to integrate new BMs, which were in some cases very different from existing ones. These had a positive effect on strategic flexibility, and if desired can also be incorporated into the firm long‐term. The paper contributes to SME crisis management during the Covid‐19 pandemic by pointing out and developing a successful management mechanism that allows to survive a crisis or even improve during this time. Moreover, we contribute to BMI literature by explaining temporary BMI as a new form of BMI. It also makes clear to managers that temporary BMs add value to firms and create new revenue streams.
Pandemic-Induced Qualitative Changes in the Process of University Studies from the Perspective of University Authorities

The pandemic COVID-19 period in education has brought many challenges to all organizations. The activities of the higher educational institutions are being affected and the situation may last for a long time. Under the current circumstances, it is important to shift to distance learning through online processes and improve educational processes at all organizational levels. Institutions have to ensure successful distance or remote learning process by identifying their opportunities, meeting challenges, and establishing the sustainable quality factors for remote or distance learning. This study aimed at identifying the pandemic-induced qualitative changes in studies that have occurred at the levels of university authorities, lecturers, and students. Universities of Lithuania were taken as a case study. The novelty of the research lies in the fact that the focus of analysis is not on the negative effects of the pandemic observed in higher education studies but on finding positive qualitative changes that are also of importance to future studies. Phenomenographic qualitative research strategy was chosen in the research and 15 in-depth semi-structured interviews with experts in university studies were conducted. Seven categories were distinguished during the research representing qualitative changes in studies at three levels—authorities, lecturers, and students. The discussed levels seemed to have a mutual effect on each other. The external motivation of leaders and the support and establishment of work and online study conditions encouraged both external and internal qualitative changes in studies from the perspective of lecturers as well as students.
MYOPIA AND ITS PREVENTION USING THERAPEUTIC PHYSICAL TRAINING IN SCHOOLCHILDREN

Vision is the one of the most significant function of human body. Many factors can influence on health of eyes and lead to the problem with vision. The aim of the work was to analyze information on myopia in school-age children and to make a set of training exercises for its prevention in them. In article present an overview of problem of myopia in school-age children, it causes and risk factors, possibilities of it prevention by use of different methods, including therapeutic physical training. Proposed complex of exercises designed for children of middle and high school. It includes 13 exercises for 30 min of training twice a day outdoor or in gymnasium. Exercises can be done anone or in pairs. Complex is recommended to children with myopia and children, which have normal vision, for the prophylaxis of impairment of vision. Complex can be used from childhood to to achieve the maximum effect, keep in mind the significant load on the visual analyzer of a modern child.
End-to-End Transformer-Based Open-Vocabulary Keyword Spotting with Location-Guided Local Attention

Open-vocabulary keyword spotting (KWS) aims to detect arbitrary keywords from continuous speech, which allows users to deﬁne their personal keywords. In this paper, we propose a novel location guided end-to-end (E2E) keyword spotting sys-tem. Firstly, we predict endpoints of keyword in the entire speech based on attention mechanism. Secondly, we calculate the existence probability of keyword by fusing the located key-word speech segment and text with local attention. The results on Librispeech dataset and Google speech commands dataset show our proposed method signiﬁcantly outperforms the base-line method and the latest small-footprint E2E KWS method.