Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of Fuel to Oxidizer Ratio on Microwave-Assisted Combustion Preparation of Nanostructured KOH/Ca12Al14O33 Catalyst Used in Efficient Biodiesel Production

In this study, the microwave-assisted solution combustion method was utilized for the fabrication of Ca12Al14O33 as support and the amount of urea was assessed as an important parameter during synthesis of the sample. Synthesized Ca12Al14O33 with different fuel amounts was impregnated by KOH and used in the biodiesel production process with canola oil under microwave irradiation. The results presented that the crystallinity, crystalline size, specific surface area, and elemental composition of the final nanocatalysts are affected by the fuel amount. Moreover, during impregnation of potassium components, the structure of support was interestingly transformed from CaAl2O4 to Ca12Al14O33 structure due to the incorporation of potassium in an alumina lattice and more diffusion of calcium cations into a support lattice. On the other hand, when the amount of fuel passed the optimum amount (2 times the stoichiometric amount), the crystallinity was reduced due to the formation of high amounts of smoke during combustion and prevention of the entry of air (oxygen) into the system. The results of the microwave-enhanced transesterification reaction confirmed the results of the analyses that the conversion of 94.5% was obtained using an optimum sample at 450 W, 12 molar ratios of methanol/oil, 4 wt. % catalyst, and 60 min reaction time. According to the stability of the optimum sample [at least three times (>75%)], along with its unique mesoporous structure, uniform dispersion of potassium components, and high basicity sites, it can be considered as a comparable solid base nanocatalyst for biodiesel production.
Deep Learnability: Using Neural Networks to Quantify Language Similarity and Learnability

Learning a second language (L2) usually progresses faster if a learner's L2 is similar to their first language (L1). Yet global similarity between languages is difficult to quantify, obscuring its precise effect on learnability. Further, the combinatorial explosion of possible L1 and L2 language pairs, combined with the difficulty of controlling for idiosyncratic differences across language pairs and language learners, limits the generalizability of the experimental approach. In this study, we present a different approach, employing artificial languages, and artificial learners. We built a set of five artificial languages whose underlying grammars and vocabulary were manipulated to ensure a known degree of similarity between each pair of languages. We next built a series of neural network models for each language, and sequentially trained them on pairs of languages. These models thus represented L1 speakers learning L2s. By observing the change in activity of the cells between the L1-speaker model and the L2-learner model, we estimated how much change was needed for the model to learn the new language. We then compared the change for each L1/L2 bilingual model to the underlying similarity across each language pair. The results showed that this approach can not only recover the facilitative effect of similarity on L2 acquisition, but can also offer new insights into the differential effects across different domains of similarity. These findings serve as a proof of concept for a generalizable approach that can be applied to natural languages.
Recommendations for the Operation of Endoscopy Centers in the setting of the COVID‐19 pandemic – World Endoscopy Organization guidance document

Severe Acute Respiratory Syndrome Corona Virus 2 (SARS‐CoV‐2) is the etiologic agent causing the disease Corona Virus Disease 19 (COVID‐19), resulting in a worldwide pandemic. Non‐emergent endoscopy services have been disrupted as incidence and hospitalizations were rising. It is anticipated that the peak incidence may be leveling off in many parts of the world, but there is a concern for resurgence of the virus activity. Thus, it is important for endoscopy units to have plans in place during peak times of the epidemic and when resuming endoscopic services as the pandemic wanes. The global endoscopy community is faced with the challenge of providing care during this time. The WEO‐COVID guidance task force has provided this resource document based on the current evidence and consensus opinion. These World Endoscopy Organization (WEO) recommendations are meant to guide endoscopists worldwide, should be interpreted in light of specific clinical conditions and resource availability and may not apply in all situations. This guidance document does not supersede the need to check for all local regulations and legislations.
Adaptive Text Messaging for Postpartum Risky Drinking: Conceptual Model and Protocol for an Ecological Momentary Assessment Study

Background Risky drinking is prevalent among women of childbearing age. Although many women reduce their drinking during pregnancy, more than half return to prepregnancy levels during the early postpartum period. Risky drinking in new mothers may be associated with negative child and maternal health outcomes; however, new mothers are unlikely to seek treatment for risky drinking because of stigma and fear of child protective service involvement. SMS text messaging is a promising approach for reaching non–treatment-seeking new mothers at risk because of risky drinking. SMS text messaging interventions (TMIs) are empirically supported for alcohol use, but a tailored intervention for new mothers does not exist. This study aims to fill this gap by developing a just-in-time adaptive TMI for postpartum risky drinking. Objective The objectives of this paper are to present a preliminary conceptual model of postpartum risky drinking and describe the protocol for conducting an ecological momentary assessment (EMA) study with new mothers to inform the refinement of the conceptual model and development of the TMI. Methods This paper presents a preliminary conceptual model of postpartum risky drinking based on the motivational model of alcohol use, social cognitive theory, and temporal self-regulation theory. The model proposes three primary intervention targets: motivation, self-efficacy, and self-regulation. Theoretical and empirical literature in support of the conceptual model is described. The paper also describes procedures for a study that will collect EMA data from 30 participants recruited via social media and the perinatal Central Intake system of New Jersey. Following the baseline assessment, EMA surveys will be sent 5 times per day for 14 days. The assessment instruments and data analysis procedures are described. Results Recruitment is scheduled to begin in January 2022 and is anticipated to conclude in March 2022. Study results are estimated to be published in July 2022. Conclusions The study findings will enhance our understanding of daily and momentary fluctuations in risk and protective factors for risky drinking during the early postpartum period. The findings will be used to refine the conceptual model and inform the development of the TMI. The next steps for this work include the development of intervention components via an iterative participatory design process and testing of the resulting intervention in a pilot microrandomized trial. International Registered Report Identifier (IRRID) PRR1-10.2196/36849
Teletriage Pilot Study (Strategy for Unscheduled Teleconsultations): Results, Patient Acceptance and Satisfaction

Non-urgent consultations to an Emergency Department (ED) contribute to overcrowding. Telecommunications represent a potential strategy to reduce some face-to-face consultations. OBJECTIVES To describe characteristics of patients who used the Teletriage Program during the pilot study, to explore safety and to report user acceptance and satisfaction. METHODS Cross-sectional study, including all adult patients affiliated to our health insurance attended to via this telemedicine service between January 18th and May 31st, 2019 (during pilot-study). Patients were followed-up for seven days to assess re-consultation to ED or unscheduled hospitalization. RESULTS 276 effective consultations occurred, corresponding to 241 patients, with a mean of age of 50 years, 68% (189) were women. Chief complaints were related to clinical issues (70%) and remaining (30%) were administrative problems. Only four patients were suggested a referral or face-to-face assessment. Rate of re-consultation to the ED was 18% (51) at seven days of follow-up, and the rate of unscheduled hospitalization was <1% (2), both with good clinical evolution. Patient satisfaction was 72.73%, and regarding acceptability, 66.12% stated that without this channel they would have attended to a face-to-face consultation and 64.02% that they would do so if their needs remained unmet. CONCLUSIONS Implementing this new communication channel could be a useful and safe strategy to reduce unnecessary non-urgent consultations to the ED.
How Have COVID-19 Isolation Policies Affected Young People’s Mental Health? – Evidence From Chinese College Students

The breakout of COVID-19 has brought about huge influence on people’s physic and mental health. This paper aims to investigate the mental health status of young people living in isolation due to the policy response to Coronavirus disease. Nine hundred ninety-two Chinese college students (Mage = 19.45, SD = 1.41) were recruited to finish an online survey in the period of self-isolation. Seven dimensions of psychological well-being were measured, including mental status, knowledge of stress management, behavioral patterns, risk perception, academic stress, family relationships, and peer relationships. Results of cluster analysis indicated that young individuals’ mental status can be divided into three groups: high-risk (n = 61, Mage = 19.26, SD = 1.32), medium-risk (n = 627, Mage = 19.43, SD = 1.38), and low-risk (n = 304, Mage = 19.54, SD = 1.49). Moreover, results of multiple regression showed that the isolation policy has had a complex influence on the symptoms of obsessive-compulsive disorder [F(12, 979) = 44.894, p < 0.001], fear [F(12, 979) = 30.776, p < 0.001], hypochondria [F(12, 979) = 22.530, p < 0.001], depression [F(12, 979) = 39.022, p < 0.001], and neurasthenia [F(12, 979) = 45.735, p < 0.001] via various factors. This paper also proposes a six-step intervention strategy to alleviate young people’s psychological problems while in isolation. It provides practical insights into the psychological interventions in face of the global threat.
Untangling Effects of Human Disturbance and Natural Factors on Mortality Risk of Migratory Caribou

Human disturbances are rapidly increasing in northern and Arctic regions, raising concerns about the recovery and persistence of declining caribou (Rangifer tarandus) populations. Yet, the consequences of behavioral responses toward human disturbances on vital rates rarely have been investigated. Herein, we assessed the cumulative and instantaneous effects of human disturbances (roads, human settlements, mines and mining exploration) at different temporal scales on the mortality risk of 254 GPS- collared migratory caribou monitored in two herds, the Rivière-aux-Feuilles (RFH) and Rivière-George (RGH) herds, in northern Québec and Labrador, Canada. We also assessed the relative importance of human disturbances on caribou mortality risk compared with non-anthropogenic factors, including habitat use by caribou, predation risk by gray wolves (Canis lupus), and local weather conditions. Human disturbances alone, exclusive of hunting, had a limited impact on mortality risk of caribou. Repeated exposure to disturbances did not have detectable effects on mortality risk during the early life period (1−7 years old), but more abundant precipitation (RFH) or the use of areas with a higher predation risk (RGH) did so. At the seasonal scale, non-anthropogenic factors, particularly the use of highly selected habitat by caribou and air temperature, had a greater effect than anthropogenic factors on the mortality risk in the RFH. Caribou of the RFH using more frequently higlhy selected habitats decreased their chance of mortality during winter, whereas individuals using warmer areas during summer faced a higher risk of mortality. At the daily scale, we observed that anthropogenic and non-anthropogenic factors generally had either no effect on the daily risk of mortality, or their effects were undistinguishable from the effect of latitude, with which they were highly correlated. The only exception was for the RFH in winter, for which the daily risk of mortality increased 10 folds for each 10-km increment closer to industrial disturbances. Although the impacts of human disturbances on caribou survival were limited to specific regions and areas, we nevertheless detected a negative effect on survival on the RFH, even at the currently low level of human development. Our study highlights the importance of assessing effects of human disturbances at various spatiotemporal scales, and of considering the relative influence of other non-anthropogenic factors to fully understand drives of wildlife populations.
mHealth for schizophrenia spectrum disorders management: A systematic review

Background: Various types of computational technologies can be used to access, store and wirelessly share private and sensitive user-related information. The ‘big data’ provided by these technologies may enable researchers and clinicians to better identify behavioral patterns and to provide a more personalized approach to care. The information collected, however, can be misused or potentially abused, and therefore could be detrimental to the very people who provided their medical data with the hope of improving care. This article focuses on the use of emerging mobile technologies that allow the collection of data about patients experiencing schizophrenia spectrum and related disorders. Schizophrenia has been recognized by the Sustainable Development Goals of the United Nations for its burden on our health care system and society [1]. Our analysis provides an overview of the range of available mobile technologies for people with schizophrenia and related conditions along with the technology’s reported capabilities and limitations, and efficacy of mHealth interventions based on the data from articles. Thus, the focus of this review is first and foremost to update the scope of existing technologies as previous systematic reviews such as the ones by Alvarez-Jimenez et al. and by Firth and Torous are outdated [2, 3]. Although we also examine the ethical issues arising from the use of these technologies, for an in-depth analysis of the ethical implications of mobile Health technologies (mHealth), we refer the readers to our follow-up article. In terms of the ubiquitous availability of technology on the internet, our article summarizes significant information for mental health specialists and apprises the reader about the existence of these technologies. Objectives: In terms of the ubiquitous availability of technology on the internet, our article summarizes significant information for mental health specialists and apprises the reader about the existence of these technologies.
Effects of natural phenolic material (tannin) on phytoplankton growth

Natural phenolic materials were found to influence the growth of two phytoplankton species in Celesttin Lagoon, a tropical coastal lagoon on the northern Yucatan Peninsula (Gulf of Mexico). The input of natural phenolic materials from mangrove forests imparts a reddish color to the water column of the lagoon. Natural water from the lagoon and tannic acid were used to assess the effects of natural phenolic material on the growth of two microalgae, Dunaliella salina and Skeletonema costatum. Both species were inhibited by tannic acid concentrations equivalent to those observed in the lagoon during winter (18 mg liter-*). The pattern was similar in both species, but cultures of S. costatum achieved higher cell numbers (> 400 x 1 O4 cells ml-‘). However, growth of both species at lower concentrations, equivalent to 3 mg liter-l of tannic acid in the natural water, was similar to growth in the control assay, suggesting a positive effect of other organic substances on phytoplankton growth. The climatic conditions during the nortes season (November-February) result in high concentrations of natural phenolic materials in the inner zone of the lagoon, which can play an important role in controlling the seasonal changes in phytoplankton and could control the response of the lagoon ecosystem to climate change. The importance of dissolved and particulate organic detrital matter to the metabolism of aquatic ecosystems has not been fully explored (Boon et al. 1982). The type of flora in the watershed, the distribution and abundance of wetland and littoral plants, and the pathways of release of detrital organic material into the water body have different effects on overall rates of eutrophication and development of aquatic ecosystems (Rich and Wetzel 1978; Wetzel 1983). plained decreases in primary productivity by deficiency in Fe or other metals caused by metal complexation by dissolved humic substances (Sakamoto 197 1; Guildford et al. 1987; Fuller and Davis 1989). Another explanation is that when natural phenolic materials react with proteins, these compounds can inhibit the performance of many enzymes (Stewart and Wetzel 1982; Francko 1986).
Hypoxia-Induced lncRNA-NEAT1 Sustains the Growth of Hepatocellular Carcinoma via Regulation of miR-199a-3p/UCK2

Objective: The long noncoding RNA (lncRNA) nuclear paraspeckle assembly transcript 1 (NEAT1) has emerged as a novel player in hepatocellular carcinoma (HCC). Hypoxia is a common characteristic of the microenvironment of HCC. This study aimed to investigate whether lncRNA-NEAT1 is induced by hypoxia in HCC, and the mechanism that underlies LncRNA-NEAT1 function. Methods: The expression changes of lncRNA-NEAT1 in HCC cell lines under hypoxic conditions were examined by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). The regulatory effect of HIF-1α on lncRNA-NEAT1 was confirmed with chromatin immunoprecipitation (ChIP) and luciferase reporter assays. The function of lncRNA-NEAT1 on HCC cell growth under hypoxic conditions was determined by CCK-8 assay and flow cytometry. lncRNA -NEAT1 was predicted to serve as a competing endogenous RNA (ceRNA) within microRNA (miRNA)/mRNA axes based on microarray data, public HCC-related datasets and integrative bioinformatics analysis, and the miR-199a-3p/UCK2 axis was selected and validated by qRT-PCR, western blotting, RNA immunoprecipitation, and luciferase reporter analyses. The role of miR-199a-3p/UCK2 in HCC and its functional association with lncRNA-NEAT1 were assessed both in vitro and in vivo. Results: LncRNA-NEAT1 expression was significantly induced by hypoxia in SNU-182 and HUH7 cells. HIF-1α was shown to regulate lncRNA-NEAT1 transcription. Under hypoxic conditions, lncRNA-NEAT1 maintained the growth of HCC cells and inhibited apoptosis and cell cycle arrest. LncRNA-NEAT1 was predicted to regulate a panel of HCC-associated miRNA-mRNA pairs consisting of 8 miRNAs and 13 mRNAs. LncRNA-NEAT1 was shown to function as a ceRNA of miR-199a-3p/UCK2 both in HCC cells under hypoxic conditions and in an animal model. Conclusion: LncRNA-NEAT1 is a hypoxia-responsive lncRNA in HCC cell lines Insilico evidence suggested that LncRNA-NEAT1 may sustainthe growth of HCC cells by regulating HCC-associated mRNAs that interact with tumor-suppressive miRNAs. The lncRNA-NEAT1/miR-199a-3p/UCK2 pathway may contribute to the progression of HCC cell lines in a hypoxic microenvironment and therefore may represent a novel therapeutic target for HCC.
BULGARIAN ACADEMY OF SCIENCES

This study investigates the relationship between the phonemic content of texts in English and the emotional valence they inspire. The sublexical content is presented in terms of biphones composed by one vowel and one consonant. The statistical analysis of a vast corpus of emotionally evaluated sentences reveals a strong correlation between this sublexical presentation and the evaluations of valence provided by the readers. An initial test performed with other valence-rated prose texts makes believing that the feature observed within the corpus can be useful for the emotion classification of texts.
Effect of deoxynivalenol and T-2 toxin in malt amylase activity

The objective of this work was to evaluate the effect of DON and T-2 toxin levels on the malt amylase activity. The malt was contaminated in accordance with central composite design experiment with DON and T-2 toxin levels until 1000 ng/g. The activities of the enzymes were evaluated by Bernfeld method. The increase in T-2 toxin concentration inhibited the α-amylase activity. However, the increase of both toxins concentration caused inverse effect. The interaction between toxins indicated synergetic effect on the β-amylase activity. An increased activity occurred when the toxins contamination levels in malt were higher (1000ng/g malt). The trichothecenes interfered with the performance of aminolitic enzymes in the stage of malting, resulting in a significant model for enzymatic activity of β-amylase.
Is targeted modification of cytokinin regulatory gene activity in Rapid Cycling Brassica rapa an appropriate model for forage brassica, B. napus?

The cytokinins are rapidly being recognised as having critical and specific roles during seed development. Both seed number and seed size have variously been affected by manipulation of cytokinin levels. We hypothesised that we could identify specific cytokinin regulatory genes as targets for breeders. As both cytokinin biosynthesis and metabolism are controlled by multigene families, our target was to see if specific gene family members expressed in specific tissues at key developmental stages using a qRT-PCR strategy in brassica species. Gene family members for cytokinin biosynthesis and cytokinin degradation were isolated, and showed temporal and organ-specific expression in leaves, flowers and pods of Brassica napus. An analysis of seeds separated from pods is yet to be conducted. This information is needed to further refine the tissue-specific expression of selected gene family members as targets for breeding. However, the similarities to date with Rapid Cycling Brassica rapa (O‟Keefe et al., 2011) indicate that targeted modification of cytokinin regulatory gene activity in RCBr is an appropriate model for forage brassica.
Triangular Fuzzy-Rough Set Based Fuzzification of Fuzzy Rule-Based Systems

Abstract In real-world approximation problems, precise input data are economically expensive. Therefore, fuzzy methods devoted to uncertain data are in the focus of current research. Consequently, a method based on fuzzy-rough sets for fuzzification of inputs in a rule-based fuzzy system is discussed in this paper. A triangular membership function is applied to describe the nature of imprecision in data. Firstly, triangular fuzzy partitions are introduced to approximate common antecedent fuzzy rule sets. As a consequence of the proposed method, we obtain a structure of a general (non-interval) type-2 fuzzy logic system in which secondary membership functions are cropped triangular. Then, the possibility of applying so-called regular triangular norms is discussed. Finally, an experimental system constructed on precise data, which is then transformed and verified for uncertain data, is provided to demonstrate its basic properties.
GermEval 2020 Task 4: Low-Resource Speech-to-Text

We present the results and ﬁndings of GermEval 2020 Task 4 on Low-Resource Speech-to-Text. Participants were asked to build a system translating Swiss German speech to Standard German text and minimize its word error rate. The task was based on a new dataset for Swiss German to Standard German speech translation, which contains 74 hours of sentence-level speech-text-pairs. 3 teams participated, with the winning contribution reaching a word error rate of 40.29 %.