Miracle-dz/UniFAR-FTUs huggingface dataset:
The SRCB-SL system for Blizzard Challenge 2021

This paper presents the SRCB-SL text-to-speech system that participated in Blizzard Challenge 2021. This year’s Challenge was in European Spanish and had come with 5 hours of clean speech data from a female native speaker. It included two tasks: a hub task that asked the participant to build a voice from the provided data and synthesize all-Spanish speech, and a spoke task in which the target speech contained a few English words. Our system featured a text analysis - acoustic model - vocoder pipeline. The text analyzer combined several old and new function modules to convert input text to a sequence of Spanish phonemes with prosodic boundary (break) markers. English phonemes were mapped to their Spanish counterparts in spoke task. The acoustic model was built around FastSpeech, and converted the phoneme sequences from text analysis to mel-spectrograms. For vocoder we used HiFi-GAN, which we trained on Challenge data and ﬁne-tuned using predicted mel-spectrogram as input. This same system was used for both tasks. Challenge results showed that our system (iden-tiﬁed as K) worked well by most of the criteria, which validated the effectiveness of our method.
Internet Of Things (IoT) Technologies For Empowering E-Education In Digital Campuses Of Smart Cities

------------------------------------------------------------------- ABSTRACT --------------------------------------------------------------- This article centers around the exploration related to the e-learning in the smart cities. The recent innovation, for example, Internet of Things (IoT) is quickly grown in the computerized life. Formation of the intelligent urban communities is developing with the idea of the IoT in the same time. E-residents as the fundamental component play an imperative part in building the keen urban communities. It is undeniable that another type of the resident in the smart cities can assume a fundamental part in case he/she gets satisfactory e-learning. In the computerized life, the IoT grounds in the intelligent urban communities are focused on the enhancement of the e-Leaning part by utilizing advanced communications and methods. Our work here centers around the requirement of embracing IoT techniques in campuses of intelligent cities , as well as supporting the theoretical analysis about the anticipated benefits of the smart learning and its application in the brilliant communities in a definite discussion.
A Case of Chronic Wernicke Encephalopathy (WE): An Underdiagnosed Phenomena

Wernicke encephalopathy (WE) is the most common neurological complication of thiamine deficiency in patients who have a background of chronic alcohol use disorder. WE is characterized by acute onset of confusion, gait ataxia, and oculomotor dysfunction. Prompt treatment with parenteral thiamine leads to improvement. Untreated WE has mortality rates of up to 20% and many cases progress to the more chronic Korsakoff syndrome. Cases of untreated WE in which symptoms last beyond the acute phase and become chronic are rarely found in the literature. Here, we present a case of a 64-year-old female having a background of chronic alcohol use disorder presenting with symptoms of gait ataxia, recurrent falls, and decreased concentration. These symptoms had progressed over a period of nine months. The patient was seen by her family physician and several specialists undergoing many diagnostic studies with inconclusive results. Ultimately, with a high index of suspicion for thiamine deficiency, she was admitted for IV thiamine treatment. Upon follow-up in the clinic, the patient reported improvement in her balance and concentration further confirming the initial suspicion of WE with thiamine deficiency as the cause of her symptoms. This case corroborates the existence of WE as a chronic phenomenon in addition to the more commonly reported acute WE. Furthermore, this case highlights the importance of recognizing WE as a potential cause of chronic neurological symptoms in people with alcohol-related disorders and the role of IV thiamine in treatment.
Lessons Learned: A Comparative Study about the Perceived Satisfaction of Emergency Remote Teaching in Thailand

The sudden shift from physical classroom education towards emergency remote teaching (ERT) in higher education during the unprecedented global pandemic caused an abrupt change in the learning environment for students and educators alike. The disruptive overnight change and conversion of entire courses to emergency remote teaching caused concern for not only educators, but also students that had little time to adapt to the new circumstances. While the embedment of technologies in the classroom is not a new concept, this quantitative research expands a case study that sought to examine the perceived satisfaction of undergraduate students with the emerging paradigm of ERT. Responses (n=669) based on empirical data as well as secondary data were analyzed to conclude that, in particular, younger freshmen students struggled more with online emergency remote teaching than their older peers. Furthermore, the study identified numerous similarities between both data samples. The current research informs educators about student perceptions and preferences during these extraordinary circumstances of uncertain duration. Furthermore, the paper concludes with recommendations that aim to provide institutions and educators with practical guidance on how to tackle the outlined issues.
Metodología para el desarrollo del pensamiento computacional en tiempos de COVID-19 - [Methodology for the development of Computational Thinking in times of COVID-19]

en los participantes de este proyecto en anteriores ediciones con presencialidad y con la nueva metodología que se describe. Abstract - This paper describes the methodology followed with the 'Piens@ Computacion@ULLmente' project to develop Computational Thinking skills considering children of KS2, 4th and KS3, 8th year in times of COVID-19, adapting classroom interventions and exercises to a telematic modality without presence. The proposal developed is based on two strands. On the one hand, educational video pills that allow an asynchronous implementation of the project, and on the other, synchronous interventions with students in the classroom using videoconferencing software. Finally, the results of a comparison studying the interest that this project has generated in the participants in previous editions face-to-face and with the new methodology that is described are presented.
Transcranial magnetic stimulation for post-traumatic stress disorder

Post-traumatic stress disorder (PTSD) is a debilitating psychiatric disorder. While current treatment options are effective for some, many individuals fail to respond to first-line psychotherapies and pharmacotherapy. Transcranial magnetic stimulation (TMS) has emerged over the past several decades as a noninvasive neuromodulatory intervention for psychiatric disorders including depression, with mounting evidence for its safety, tolerability, and efficacy in treating PTSD. While several meta-analyses of TMS for PTSD have been published to date showing large effect sizes on PTSD overall, there is marked variability between studies, making it difficult to draw simple conclusions about how best to treat patients. The following review summarizes over 20 years of the existing literature on TMS as a PTSD treatment, and includes nine randomized controlled trials and many other prospective studies of TMS monotherapy, as well as five randomized controlled trials investigating TMS combined with psychotherapy. While the majority of studies utilize repetitive TMS targeted to the right dorsolateral prefrontal cortex (DLPFC) at low frequency (1 Hz) or high frequency (10 or 20 Hz), others have used alternative frequencies, targeted other regions (most commonly the left DLPFC), or trialed different stimulation protocols utilizing newer TMS modalities such as synchronized TMS and theta-burst TMS (TBS). Although it is encouraging that positive outcomes have been shown, there is a paucity of studies directly comparing available approaches. Biomarkers, such as functional imaging and electroencephalography, were seldomly incorporated yet remain crucial for advancing our knowledge of how to predict and monitor treatment response and for understanding mechanism of action of TMS in this population. Effects on PTSD are often sustained for up to 2–3 months, but more long-term studies are needed in order to understand and predict duration of response. In short, while TMS appears safe and effective for PTSD, important steps are needed to operationalize optimal approaches for patients suffering from this disorder.
Fault diagnosis methods based on machine learning and its applications for wind turbines: a review

With the increase in the installed capacity of wind power systems, the fault diagnosis and condition monitoring of wind turbines (WT) has attracted increasing attention. In recent years, machine learning (ML) has played a crucial role as an emerging technology for fault diagnosis in wind power systems has played a crucial role. Even though ML methods have shown great potential in dealing with the issues related to the fault diagnosis of WT, there are still some challenges encountered in many aspects. In this paper, typical fault diagnosis methods based on ML methods for wind power systems are thoroughly reviewed in terms of both theoretical fundamentals and industrial applications, including traditional machine learning (TML), artificial neural networks (ANN), deep learning (DL) and transfer learning (TL), in the development line of ML technologies. The advantages and disadvantages of various methods are analyzed and discussed. Meanwhile, a distribution diagram is provided for the discussions of ML methods applied for WT fault diagnosis, and the existing challenges on the applications for fault diagnosis based on ML for wind power generation systems are presented. Moreover, some prospects for future research directions are provided.
Increased Post-Hypoxic Oxidative Stress and Activation of the PERK Branch of the UPR in Trap1-Deficient Drosophila melanogaster Is Abrogated by Metformin

Hypoxia is known to impair mitochondrial and endoplasmic reticulum (ER) homeostasis. Post-hypoxic perturbations of the ER proteostasis result in the accumulation of misfolded/unfolded proteins leading to the activation of the Unfolded Protein Response (UPR). Mitochondrial chaperone TNF receptor-associated protein 1 (TRAP1) is reported to preserve mitochondrial membrane potential and to impede reactive oxygen species (ROS) production thereby protecting cells from ER stress as well as oxidative stress. The first-line antidiabetic drug Metformin has been attributed a neuroprotective role after hypoxia. Interestingly, Metformin has been reported to rescue mitochondrial deficits in fibroblasts derived from a patient carrying a homozygous TRAP1 loss-of-function mutation. We sought to investigate a putative link between Metformin, TRAP1, and the UPR after hypoxia. We assessed post-hypoxic/reperfusion longevity, mortality, negative geotaxis, ROS production, metabolic activity, gene expression of antioxidant proteins, and activation of the UPR in Trap1-deficient flies. Following hypoxia, Trap1 deficiency caused higher mortality and greater impairments in negative geotaxis compared to controls. Similarly, post-hypoxic production of ROS and UPR activation was significantly higher in Trap1-deficient compared to control flies. Metformin counteracted the deleterious effects of hypoxia in Trap1-deficient flies but had no protective effect in wild-type flies. We provide evidence that TRAP1 is crucially involved in the post-hypoxic regulation of mitochondrial/ER stress and the activation of the UPR. Metformin appears to rescue Trap1-deficiency after hypoxia mitigating ROS production and downregulating the pro-apoptotic PERK (protein kinase R-like ER kinase) arm of the UPR.
The sociometabolic transition of a small Greek island: Assessing stock dynamics, resource flows, and material circularity from 1929 to 2019

Their geomorphological characteristics make island systems special focal points for sustainability challenges. The Circular Economy (CE) Action Plan of the European Union foresees tailored solution sets for Europe's outermost regions and islands to tackle region‐specific sustainability challenges. We address the question of how islands can achieve more sustainable resource use by utilizing the socioeconomic metabolism (SEM) framework to assess and explore CE strategies for the Greek island of Samothraki. For this purpose, we apply material and energy flow analysis on a regional level and derive, as one of the first studies, a complete time series from 1929 to 2019 for socioeconomic biophysical stocks and flows according to mass‐balance principles for an island economy. Results show that in the past 90 years Samothraki's material stocks grew fivefold, domestic material consumption threefold, and solid waste generation fivefold. Samothraki transitioned from an almost entirely circular biophysical economy toward one in which 40% of input materials and 30% of output materials are estimated as non‐circular. This transition resulted in an accumulated solid waste stock on the island almost half the size of current material stocks in use. With this study we aim at providing ideas and opportunities for achieving more sustainable and circular material use on small islands. The published SEM database aims at supporting the public and the private sector and the island community at large with information key to establishing more sustainable material and energy use patterns on Samothraki. This article met the requirements for a Gold–Gold JIE data openness badge described at http://jie.click/badges.
Improving the Training of Qualified Athletes-Students by Modern Nutritiological Technologies

Currently, a significant part of highly qualified athletes are students of higher educational institutions at the same time, which manifests itself not only in an ultra-high level of physical activity, but also in significant psycho-emotional stress. Therefore, the search and introduction of modern technologies in the process of sports training, including pharmacological, hygienic, rehabilitation, etc. are continuing. An essential place among such technologies is occupied by a comprehensive methodology of nutrition-metabolic support of the training process, built on the principles of evidence-based medicine and using the latest achievements of laboratory and functional diagnostics, biochemistry and pharmacology. The purpose of the study is the formation of ideas about the necessity, validity and effectiveness of nutritive-metabolic support of the process of sports training of students of higher education institutions. Nutrition-metabolic support is part of a sporting nutritiology that possesses all the features of basic science – terms, definitions, and at the same time has great practical significance, helping to form relevant and well-grounded programs of nutrition-metabolic support of the training and competitive process of athletes, as well as to contribute to preservation the health and quality of life of athletes. This position is particularly important in student sports, where the body of an athlete is exposed to additional stressors due to the complexity of the need for a rational and effective combination of the educational and training process of highly qualified athletes. Conclusion. The applied nutritive-metabolic technologies such as methods of metabolic support of motor activity should take into account the specialization and qualifications of athletes, their gender-age characteristics and should be applied depending on the training period and the orientation of the loads. In connection with the improvement and tightening of doping control, it is extremely important that sports nutrition products and special nutritional supplements that are widely used to optimize the functional state of the athlete's body and maintain their health and quality of life do not contain substances related to the World Anti-Doping Agency Prohibited List, while ensuring a pronounced ergogenic effect
The roles of family resources and family structure in moving from the parental home and village among young Indonesians

This study assesses the effects of family resources and family structure among young Indonesians on the likelihood of leaving the parental home and village in general and for three types of reasons: work, education, and marriage. Using all five waves of the Indonesia Family Life Survey, we find that the effects of family resources and structure differ by reason for moving. For example, parental education is positively related to moving for education, but not to moving for work or marriage. We also find that being the oldest child is positively related to moving in general and belonging to an extended family is negatively related to moving for work. Our results suggest that moving from the parental village for work, education, and marriage are different processes. Furthermore, while some of the findings are in line with previous findings for leaving home in Western countries, other findings are typical of developing countries.
Selected environmental risk factors of inflammatory bowel diseases

Incidencia zápalových ochorení čreva sa v posledných rokoch zvyšuje, no presná príčina ochorení nie je dosiaľ jasná, a preto nepoznáme ani spoľahlivý spôsob prevencie. Práca popisuje doterajšie poznatky o úlohe a vplyve vybraných rizikových faktorov na vznik, relaps i progresiu zápalových ochorení čreva. Podrobnejšie sa zaoberá potenciálne rizikovými faktormi, ako je hygiena, fajčenie, prostredie, sanitácia, industrializácia a socioekonomický status, znečistenie vzduchu, vody, ale aj úlohou črevného mikrobiómu, infekcií, užívania antibiotík a vplyvom stresu a spánku. Práca zdôrazňuje potrebu objasniť etiológiu ochorenia. Kľúčové slová: zápalové choroby čreva, ulcerózna kolitída, Crohnova choroba, faktory rizikové environmentálne VYBRANÉ ENVIRONMENTÁLNE RIZIKOVÉ FAKTORY ZÁPALOVÝCH OCHORENÍ ČREVA
The Hamstring/Quadriceps Ratio in Young Men and Its Relationship with the Functional Symmetry of the Lower Limb in Young Men

The relationship of muscle strength symmetry with the symmetry of dynamic activities such as vertical jump (CMJ) and with symmetry of ranges of motion is ambiguous. Therefore, the aim of the current investigation was to assess the relationship between the flexor/extensor strength ratio and the range of motion of the knee joints and VGRF during jump in a sample of young healthy men. The sample consisted of 64 healthy, active men. The flexor and extensor torques and ranges of active and passive mobility of both knee joints were measured. Vertical ground reaction force (VGRF) was measured using two platforms. There were no significant correlations between the symmetry of muscle strength and the symmetry of ranges of motion and the symmetry of the VGRF. Therefore, using the cluster analysis, 4 subgroups were distinguished due to the size of the flexor/extensor ratio (H/Q ratio). Significant differences were found in the level of strength of the knee flexors between the clusters. Detailed analysis of muscle strength symmetry and VGRF symmetry seem to confirm the Leading Joint Hypothesis theory of motion control in multi-joint systems. It was found that the process of controlling movement by the nervous system compensates for the small asymmetries in the level of muscle strength in the knee flexors and extensors, as well as small asymmetries of VGRF.
Greenhouse Gas Emission Model for Tidal Flats in the Republic of Korea

Since coastal wetlands have been severely degraded and polluted by human activities, they have increasingly become a significant source of greenhouse gases (GHGs), so understanding the characteristics of their emissions is critical for devising future climate change mitigation strategies. This study modified a model based on carbon balance to forecast carbon stored and CO2, CH4 emissions in four types of typical tidal flats—Phragmites australis (PA), Spartina alterniflora (SA), Suaeda japonica (SJ), and Bare Tidal Flat (BTF) in Korea’s Ganghwa province from 2017 to 2047. The model was built using biomass data from salt plant species collected in different locations. The results indicate that the total annual simulated flow of CH4 increased over time in all four areas, most notably in SA, while CO2 remained relatively stable. The mean CO2 and CH4 fluxes in the four types of representative tidal flats were in the range of 0.03 to 19.1 mg m−2 d−1 and 0.007 to 5.23 mg m−2 d−1, respectively, across all seasons. Besides, the results indicate that the amount of carbon accumulated in the top soil increases linearly over time in nearly all areas studied, ranging from 0.01 to 0.13 (kgC m−2 yr−1). In general, the study provides a model for Korean tidal flats that incorporates carbon storage and GHG emissions in the intertidal zone in order to develop potential GHG reduction scenarios.
Mineral reserve risk in continuous-time stochastic mine valuation

In this paper, the authors develop a valuation model (2DPM) to overcome the limitation of constant reserve (CRM) assumption in derivative mine valuation. It develops and solves equilibrium equations that characterise the value of mineral project under price uncertainty and reserve variability due to cutoff grade flexibility. Results show that the determination of cutoff grade independent of optimal operating policies may not always add to asset value. At copper price of $1.5/lb, a 127.8mt reserve is valued at $1,134 and $996 million dollars by CRM and 2DPM respectively. Using 2DPM delays the investment decision and early abandonment of projects.
Repositorio GitHub con objetos de aprendizaje para grados de ingeniería industrial en la asignatura de programación - [GitHub repository with learning objects for industrial engineering degrees in programming]

- In this work we show how a teaching innovation project is being developed whose objective is the elaboration of learning objects for the programming subject in Industrial Engineering studies at the University of Almería. These learning objects seek, on the one hand, to show simple and meaningful examples of the main concepts of programming and, on the other, are a battery of problems that can be extrapolated to any degree of a technical nature. The problems are presented within a GitHub repository, so that it is directly downloadable and/or forked, in addition to having a web page available directly on the same platform that is built to guide the learner in accessing the problems. Becoming an additional learning resource.
Amphiphilic DNA nanostructures for bottom-up synthetic biology

DNA nanotechnology enables the construction of sophisticated biomimetic nanomachines that are increasingly central to the growing efforts of creating complex cell-like entities from the bottom-up. DNA nanostructures have been proposed as both structural and functional elements of these artificial cells, and in many instances are decorated with hydrophobic moieties to enable interfacing with synthetic lipid bilayers or regulating bulk self-organisation. In this feature article we review recent efforts to design biomimetic membrane-anchored DNA nanostructures capable of imparting complex functionalities to cell-like objects, such as regulated adhesion, tissue formation, communication and transport. We then discuss the ability of hydrophobic modifications to enable the self-assembly of DNA-based nanostructured frameworks with prescribed morphology and functionality, and explore the relevance of these novel materials for artificial cell science and beyond. Finally, we comment on the yet mostly unexpressed potential of amphiphilic DNA-nanotechnology as a complete toolbox for bottom-up synthetic biology – a figurative and literal scaffold upon which the next generation of synthetic cells could be built.