Miracle-dz/UniFAR-FTUs huggingface dataset:
Optoelectronics and Transport Phenomena in Rb2InBiX6 (X = Cl, Br) Compounds for Renewable Energy Applications: A DFT Insight

In this study, we used the FP-LAPW technique based on density functional theory applied in WIEN2k code to examine the structural, electronic, elastic, and thermoelectric properties of cubic double perovskite Rb2InBiX6 (X = Cl, Br) compounds. The structural stability was confirmed from the tolerance factor, formation energy, and phonon dispersion. The exchange-correlation potentials LDA, GGA, mBJ, and HSE were used to estimate the electronic properties. According to the band structure computed band gap using mBJ, the HSE are 1.61 eV, 1.81 eV for Rb2InBiCl6 and 1.22 eV, 1.32 eV for Rb2InBiBr6 compounds, respectively. The mechanical stability of the materials under examination were reflected by the calculated elastic constants. The estimated bulk modulus-to-shear modulus ratios for Rb2InBiX6 (X = Cl, Br) are 2.13 and 3.65, respectively. This indicates that the examined compounds were ductile in nature. The optical properties in terms of real and imaginary dielectric functions, refractive index, and absorption coefficient were computed, indicating that they might be employed in optoelectronic and photovoltaic applications. In the temperature range 200–800 K, the electrical conductivity, Seebeck coefficient, thermal conductivity, and power factor (PF) were analysed. Relatively high PFs of about 2.7 × 1010 W/K2 ms and 3.1 × 1010 W/K2 ms were obtained for Rb2InBiX6 (X = Cl, Br) suggesting that these compounds are viable for usage in thermoelectric devices. Both the compounds showed strong absorption patterns and excellent PF signifying that these are suitable materials for photovoltaic and thermoelectric applications.
Jordan Form and Quantum Tomography

In this brief article we indicate a connection between Jordan normal form of a square matrix and the stroboscopic approach to quantum tomography. We show that the index of cyclicy of a generator of evolution, which receives much attention in the stroboscopic tomography, can be defined and computed by referring to the Jordan decomposition of a square matrix. The result presented in this work shows a relation between terminology from quantum tomography and linear algebra.
Determining doping efficiency and mobility from conductivity and Seebeck data of n‐doped C60 layers

In this work, we introduce models for deriving lower limits for the key parameters doping efficiency, charge carrier concentration, and charge carrier mobility from conductivity data of doped organic semiconductors. The models are applied to data of thin layers of Fullerene C60 n‐doped by four different n‐dopants. Combining these findings with thermoelectric Seebeck data, the energetic position of the transport level can be narrowed down and trends for the absolute values are derived.
Nichtparametrische Analyse von diagnostischen Tests

Diagnostic tests form the base of almost every clinical trial since they are necessary for the identification of the disease. For the evaluation of a new diagnostic trial one needs cases and controls with assured disease state. The method which yields the disease state is called gold standard. This gold standard is an accepted method or a combination of accepted methods to yield the true disease state with a high probability. Nevertheless, the necessity to develop new diagnostic tests is given when the existing test is too complex or too expensive, when it is too invasive or even only applicable after the patient died. In a diagnostic trial the groups of healty and diseased are investigated with the potential new diagnostic measure. To compare diagnostic tests, ROC curves are applied. A measure of the accuracy of a diagnostic test is the area under the ROC curve. It is well-known, that this area under the curve corresponds to the effect estimated by the nonparametric Wilcoxon statistic. The thesis develops a nonparametric theory which is applicable to all typical designs which appear frequently in diagnostic trials. These designs include studies with any number of readers and modalities and studies with repeated measurements on one subject, so-called clustered data. The scale of the measurements is also unrestricted, dichotomous as well as ordinal as well as continuous data are allowed.
Confusion Detection for Adaptive Conversational Strategies of An Oral Proficiency Assessment Interview Agent

In this study, we present a model to detect user confusion in an online interview dialogue using conversational agents. Conver-sational agents have gained attention for reliable assessment of language learners’ oral skills in interviews. Learners often face confusion, where they fail to understand what the system has said, and may end up unable to respond, leading to a conversational breakdown. It is thus crucial for the system to detect such a state and keep the interview going forward by repeating or rephrasing the previous system utterance. To this end, we first collected a dataset of user confusion using a psycholinguistic experimental approach and identified seven multimodal signs of confusion, some of which were unique to an online conversation. With the corresponding features, we trained a classification model of user confusion. An ablation study showed that the features related to self-talk and gaze direction were most predictive. We discuss how this model can assist a conversational agent to detect and resolve user confusion in real-time.
Implementation of Ergonomics Approach in Sociology Learning to Decrease Physiological Disorders of Student Online Learning

Online learning activities carried out by students spend several hours a day in front of computers and smartphones. If the activities in this learning are not aligned with the ergonomic approach in each student's activity, of course, it will cause subjective fatigue experienced by students. This study aims to determine the influence of the implementation of the ergonomic approach on sociology learning on the decrease in physiological disorders assessed from subjective fatigue in high school students, especially in class XI. This research is an experimental study with treatment by subject design. The target population in this study was all students enrolled in SMAN 3 Tondano, while the affordable population was students who received sociology subjects. The research sample was 30 students. The research instrument used was a questionnaire of 30 items of rating scale to assess subjective fatigue. Data analysis used through descriptive tests, data normality tests, and T-tests using SPSS 25 for IOS analysis. The results showed that the difference in the average subjective fatigue before the learning process between the control period and the experimental period was 0,40 or the difference only reached 1,27%. The difference in the average subjective fatigue after the learning process between the control and experimental periods is 31,44, or the difference reached 37.36%. The results of the different tests showed a meaningful difference (p0.05). The difference in subjective fatigue reduction between the control and experimental periods reached 31.04 (62.18%). Therefore, it can be concluded that implementing an ergonomic approach to sociology learning can reduce subjective complaints in the learning process so that students avoid health problems and physiological disorders in the form of physical fatigue.
Multi-PMT optical module for undersea neutrino telescopes

For the design of an optical module for deep-sea kilometer sized neutrino telescopes it is important to optimize performance versus cost. In the framework of the KM3NeT design study we have designed an optical module consisting of a single glass pressure vessel and containing up to about 40 small photomultiplier tubes including their readout electronics. The advantage is a much lar- ger photocathode area in a single vessel than is possible with large photomultipliers. Added advan- tages are obtained for triggering.
Chiral Biomaterials for Nanomedicines: From Molecules to Supraparticles

Chirality, the property whereby an object or a system cannot be superimposed on its mirror image, prevails amongst nature over various scales. Especially in biology, numerous chiral building blocks and chiral-specific interactions are involved in many essential biological activities. Despite the prevalence of chirality in nature, it has been no longer than 70 years since the mechanisms of chiral-specific interactions drew scientific attention and began to be studied. Owing to the advent of chiral-sensitive equipment such as circular dichroism spectrometers or chiral liquid columns for chromatography, it has recently been possible to achieve a deeper understanding of the chiral-specific interactions and consequential impacts on the functionality and efficiency of nanomedicine. From this point of view, it is worthwhile to examine previously reported chiral biomaterials with their compositions and possible applications to achieve new paradigms of biomaterials. This review discusses chiral materials on various scales and their biological applications.
L’integrazione per il rilievo digitale dei campanili in Muratura

Beyond the lines. Graphics and its uses. Abstract Nel presente contributo si descrive il processo metodologico compiuto per conoscere e documentare la tipologia architettonica snella tramite l’utilizzo di tecniche di rilievo no-contact fotogrammetriche ed i modelli numerico-matematici che ne conseguono. Nell’articolo si dimostra che per ottenere un modello 3D completo è necessario combinare l’uso di tecnologie e sensori diversi sia aerei che terrestri. La ricerca, ancora in essere, è portata avanti nell’ambito del progetto competitivo intra/Ateneo PREVENT - Integrated PRocedure for assEssing and improVing the resiliENce of existing masonry bell Towers at territorial scale. Lo scopo principale del progetto è fornire una metodologia scientifica per la valutazione e la conservazione dei campanili esistenti in muratura grazie alla sinergia delle discipline accademiche del Disegno, della Fisica tecnica e dell’Ingegneria strutturale . In tale contesto, il rilievo assume il ruolo fondamentale di attivatore del processo cognitivo. La scelta della tecnologia da impiegare per il rilievo dei campanili è frutto sia di una valutazione critica, compiuta analizzando esperienze di ricerca sviluppate in ambito nazionale ed internazionale, che dell’esperienza propria sul campo, con particolare riferimento al caso studio del campanile napoletano della chiesa di Santa Maria del faro, sito nel quartiere di Posillipo.
Chaos: From Simple Models To Complex Systems

First Encounter with Chaos The Language of Dynamical Systems Examples of Chaotic Behaviors Probabilistic Approach to Chaos Characterization of Chaotic Dynamical Systems From Order to Chaos in Dissipative Systems Chaos in Hamiltonian Systems Chaos and Information Theory Coarse-Grained Information and Large Scale Predictability Chaos, Numerical Computations and Experiments Chaos in Few-Degrees of Freedom Systems Spatiotemporal Chaos Turbulence as a Dynamical Systems Problem Chaos and Statistical Mechanics: Fermi-Pasta-Ulam a Case Study.
Model of Professional Training of Future Specialists in Tourism in Higher Education Institutions of Ukraine

ABSTRACT The purpose of this study is to substantiate and experimentally test the model of professional training of future specialists in tourism in higher education. It is shown that the construction of the model is based on the understanding of the training of future professionals as a holistic, open, integrative, multilevel, mobile system that meets social and educational requirements, market demands of tourism services, tourism functionality, and individual needs of students. Theoretical-methodological, structural-content, implementation-technological and criterion-analytical components of the model are defined and characterized, which reflect the purpose of professional training, methodological approaches and principles of readiness of the future specialists in tourism, organizational-methodological conditions and criteria of efficiency of this pedagogical process. It is proved that its implementation is aimed at forming the appropriate readiness for professional activity, which is considered as a system of integrative properties and personality qualities necessary for a specialist in the tourism industry.
An Insight into the Bicarbonate Effect in Photosystem II through the Prism of the JIP Test

Photosystem II (PSII) is the unique pigment–protein complex that is capable of evolving molecular oxygen using solar energy. The activity of PSII determines the overall productivity of all oxygenic photosynthetic organisms. It is well known that the absence of HCO3− induces a drop in the activity of PSII. However, it is not yet clear what type of photochemical reaction, single turn-over or multiple turn-over, HCO3− is involved in. Kinetic parameters of this (these) involvement(s) are almost unexplored now. This work addresses these issues. Using the JIP test, being the perspective noninvasive method for measuring PSII activity in plants, this paper describes how HCO3− deficiency affects the electron transfer on the oxidizing as well as the reducing sides of PSII in thylakoids and in PSII preparations from the leaves of pea plants. HCO3− was found to be simultaneously involved both in single turn-over and in multiple turn-over events (“dynamical processes”). Moreover, the involvement of HCO3− in dynamical photochemical processes was revealed to be associated with both sides of PSII, being the rate limiting on the reducing side, which follows from obtained kinetic parameters. The involvement of HCO3− in dynamical processes as the constant exchangeable ligand is discussed for both the electron donor and acceptor sides of PSII.
A Preclinical and Phase Ib Study of Palbociclib plus Nab-Paclitaxel in Patients with Metastatic Adenocarcinoma of the Pancreas

Purpose: To assess the preclinical efficacy, clinical safety and efficacy, and MTD of palbociclib plus nab-paclitaxel in patients with advanced pancreatic ductal adenocarcinoma (PDAC). Experimental Design: Preclinical activity was tested in patient-derived xenograft (PDX) models of PDAC. In the open-label, phase I clinical study, the dose-escalation cohort received oral palbociclib initially at 75 mg/day (range, 50‒125 mg/day; modified 3+3 design; 3/1 schedule); intravenous nab-paclitaxel was administered weekly for 3 weeks/28-day cycle at 100‒125 mg/m2. The modified dose–regimen cohorts received palbociclib 75 mg/day (3/1 schedule or continuously) plus nab-paclitaxel (biweekly 125 or 100 mg/m2, respectively). The prespecified efficacy threshold was 12-month survival probability of ≥65% at the MTD. Results: Palbociclib plus nab-paclitaxel was more effective than gemcitabine plus nab-paclitaxel in three of four PDX models tested; the combination was not inferior to paclitaxel plus gemcitabine. In the clinical trial, 76 patients (80% received prior treatment for advanced disease) were enrolled. Four dose-limiting toxicities were observed [mucositis (n = 1), neutropenia (n = 2), febrile neutropenia (n = 1)]. The MTD was palbociclib 100 mg for 21 of every 28 days and nab-paclitaxel 125 mg/m2 weekly for 3 weeks in a 28-day cycle. Among all patients, the most common all-causality any-grade adverse events were neutropenia (76.3%), asthenia/fatigue (52.6%), nausea (42.1%), and anemia (40.8%). At the MTD (n = 27), the 12-month survival probability was 50% (95% confidence interval, 29.9–67.2). Conclusions: This study showed the tolerability and antitumor activity of palbociclib plus nab-paclitaxel treatment in patients with PDAC; however, the prespecified efficacy threshold was not met. Trial Registration: Pfizer Inc (NCT02501902) Significance: In this article, the combination of palbociclib, a CDK4/6 inhibitor, and nab-paclitaxel in advanced pancreatic cancer evaluates an important drug combination using translational science. In addition, the work presented combines preclinical and clinical data along with pharmacokinetic and pharmacodynamic assessments to find alternative treatments for this patient population.
k‐Nearest Neighbor Algorithm

• Calculations are delayed until queries occur, no trained model in the usual sense is returned! Trained models are implicitly defined by the stored example set and the rules new instances are classified by. • If there are k attributes all vectors can be interpreted as instances of R. The distance d(x1, x2) of two example vectors x1 and x2 is defined as their usual vector distance (Euclidean distance). That is:
Correlation of Energy, Protein, Carbohydrate, and Physical Activity Intake with Nutritional Status of Adolescents

BACKGROUND: Adolescence is a period of growth and development. So that adolescents must get a balanced intake of nutrients and in accordance with the needs to achieve optimal growth and development. Balance of intake with development can cause nutritional problems. AIM: The purpose of this study was to determine the relationship between energy intake, protein, carbohydrates, and physical activity with the nutritional status of adolescents. METHODS: This study used an analytical survey method with a cross-sectional approach. The sample is 115 respondents. The sampling technique is using simple random sampling. Research variables include energy intake, protein, carbohydrates, physical activity, and nutritional status. Data were collected using a questionnaire, form recall, PAL, and nutritional status using anthropometric measurements. RESULTS: The results of the study using the Chi-square test showed that the intake of energy (p = 0.179 protein (p = 0.529), carbohydrates (p = 0.081), and physical activity (0.065). This shows that there is no significant relationship between energy intake, protein, carbohydrates, and physical activity with the nutritional status of adolescents at SMPN Bulango Selatan and SMPN Tapa in Bone Bolango Regency. CONCLUSION: Teenagers are expected to get used to consumption patterns according to the balanced nutrition guidelines. In addition, the role of parents is also needed to pay attention to the food consumed by members’ food intake family at home, especially teenagers, so that optimal nutritional status is achieved.
Bounds for the Distance Dependence of Correlation Functions of Entangled Photons in Waveguides

The distance dependence of the probability of observing two photons in a waveguide is investigated. The Glauber correlation functions of the entangled photons in waveguides are considered and the spatial and temporal dependence of the correlation functions is evaluated. We derive upper bounds to the distance dependence of the probability of observing two photons. These inequalities should be possible to observe in experiments.
Speech Audio Corrector: using speech from non-target speakers for one-off correction of mispronunciations in grapheme-input text-to-speech

Correct pronunciation is essential for text-to-speech (TTS) systems in production. Most production systems rely on pronouncing dictionaries to perform grapheme-to-phoneme conversion. Unlike end-to-end TTS, this enables pronunciation correction by manually altering the phoneme sequence, but the necessary dictionaries are labour-intensive to create and only exist in a few high-resourced languages. This work demonstrates that accurate TTS pronunciation control can be achieved without a dictionary. Moreover, we show that such control can be performed without requiring any model retraining or fine-tuning, merely by supplying a single correctly-pronounced reading of a word in a different voice and accent at synthesis time. Experimental results show that our proposed system successfully enables one-off correction of mispronunciations in grapheme-based TTS with maintained synthesis quality. This opens the door to production-level TTS in languages and applications where pronunciation dictionaries are unavailable.
TNT Loss: A Technical and Nontechnical Generative Cooperative Energy Loss Detection System

This paper describes an electricity technical/nontechnical loss detection method capable of loss type identification, classification, and location. Several technologies are implemented to obtain that goal: (i) an architecture of three generative cooperative AI modules and two additional non-cooperative AI modules for data knowledge sharing is proposed, (ii) new expert consumption-based knowledge of feature collaboration of the entire consumption data are embedded as features in an AI classification algorithm, and (iii) an anomaly pooling mechanism that enables one-to-one mapping of signatures to loss types is proposed. A major objective of the paper is an explanation of how an exact loss type to signature mapping is obtained simply and rapidly, (iv) the role of the reactive energy load profile for enhancing signatures for loss types is exemplified, (v) a mathematical demonstration of the quantitative relationship between the features space to algorithm performance is obtained generically for any algorithm, and (vi) a theory of “generative cooperative modules” for technical/nontechnical loss detection is located and mapped to the presented system. The system is shown to enable high-accuracy technical/nontechnical loss detection, especially differentiated from other grid anomalies that certainly exist in field conditions and are not tagged in the universal datasets. The “pooling” architecture algorithm identifies all other loss types, and a robotic process automation module obtains loss type localization. The system feeds from the entire smart metering data, not only the energy load profile. Other solutions, such as a stand-alone algorithm, have difficulty in obtaining low false positive in field conditions. The work is tested experimentally to demonstrate the matching of experiment and theory.
Improved Modulation-Domain Loss for Neural-Network-based Speech Enhancement

We describe an improved modulation-domain loss for deep-learning-based speech enhancement systems (SE). We utilized a simple self-supervised speech reconstruction task to learn a set of spectro-temporal receptive fields (STRFs). Similar to the recently developed spectro-temporal modulation error, the learned STRFs are used to calculate a weighted mean-squared error in the modulation domain for training a speech enhancement system. Experiments show that training the SE systems using the improved modulation-domain loss consistently improves the objective prediction of speech quality and intelligibility. Additionally, we show that the SE systems improve the word error rate of a state-of-the-art automatic speech recognition system at low SNRs.
Dysarthric Speech Recognition From Raw Waveform with Parametric CNNs

Raw waveform acoustic modelling has recently received in-creasing attention. Compared with the task-blind hand-crafted features which may discard useful information, representations directly learned from the raw waveform are task-specific and potentially include all task-relevant information. In the context of automatic dysarthric speech recognition (ADSR), raw waveform acoustic modelling is under-explored owing to data scarcity. Parametric convolutional neural networks (CNNs) can compensate for this problem due to having notably fewer parameters and requiring less training data in comparison with conventional non-parametric CNNs. In this paper, we explore the usefulness of raw waveform acoustic modelling using various parametric CNNs for ADSR. We investigate the prop-erties of the learned filters and monitor the training dynamics of various models. Furthermore, we study the effectiveness of data augmentation and multi-stream acoustic modelling through combining the non-parametric and parametric CNNs fed by hand-crafted and raw waveform features. Experimental results on the TORGO dysarthric database show that the parametric CNNs significantly outperform the non-parametric CNNs, reaching up to 36.2% and 12.6% WERs (up to 3.4% and 1.1% absolute error reduction) for dysarthric and typical speech, respectively. Multi-stream acoustic modelling further improves the performance resulting in up to 33.2% and 10.3% WERs for dysarthric and typical speech, respectively.