Miracle-dz/UniFAR-FTUs huggingface dataset:
Prediction of Flash Points of Organosilicon Compounds by Structure Group Contribution Approach

ABSTRACT:Flashpoint(FP)istheprimarypropertytoevaluateﬁrehazardsofaﬂammableliquid. Inmostcountriesregulationsfor safe handing, transporting, and storage of liquid chemicals mainly depend on the FPs of liquid chemicals. Due to theadvancement of technology in discovery or synthesis of new compounds, FP data are desirable for related industries, but there isoften a signiﬁcant gap between the demand for such data and their availability. Thus, a reliable method to predict the FPs ofﬂammable compounds seems very important in this regard. In the present work a predictive model of FP for organosiliconcompoundsisproposedviathestructuregroupcontribution(SGC)approach.Thismodelisbuiltupbyusingatrainingsetof184organosiliconcompoundswiththe ﬁtting ability(R 2 ) of0.9330,the average errorof8.91 K,and theaverageerror inpercentageof2.84%. Thepredictivecapabilityoftheproposedmodelhasbeendemonstratedonatestingsetof46organosiliconcompoundswiththe predictive capability (Q 2 ) of 0.8868, the average error of 11.15 K, and the average error in percentage of 3.66%. Because theknownerrorformeasuringFPbyexperimentisreportedtobeabout6 10K,theproposedmethodoﬀersareasonableestimateoftheFPfororganosiliconcompounds. Moreover,theproposedSGCmodelrequiresonlythemolecularstructureofacompoundtoestimate its FP, so it also oﬀers an eﬀective way to approximate the FP of a novel chemical for which its quantity is still not readilyavailable for measuring its FP by experiments.1. INTRODUCTIONFlashpoint(FP)isthetemperatureatwhichaliquidchemicalemits suﬃcient ﬂammable vapor to bring the concentration ofthe ﬂammable vapor in the head space above the liquid to thelower ﬂammability limit. Thus, FP is usually adopted to classifyliquid chemicals for the purpose of assessing their ﬁre andexplosion hazards. In fact, in most countries regulations for thesafehanding,transporting,andstorageofliquidchemicalsmainlydepend on this classiﬁcation, so the FP of liquid chemicals isinformation of great importance for the sake of safety practices.Forexample,aliquidchemicalofwhichtheFPisbelow60.5 Cisdeﬁned to be a ﬂammable liquid by the U.S. Department ofTransportation (DOT 49 CFR 173.120), and special protectiveproceduresshouldbeimplementedwhilestoringortransportingit.AlthoughthedataofFParedesirable,duetotheadvancementof technology in the discovery or synthesis of new compounds,thereisoftenasigniﬁcantgapbetweenthedemandforsuchdataand their availability. Moreover, for some toxic or radioactivechemicals, determining their FPs by experiments might beextremely diﬃcult in practice. In this regard a reliable methodto estimate the FP is still indispensable.Many correlations have been proposed in the literatureto predict FPs of pure chemicals. The work by Liu and Liu
Regulating Product Recall Compliance in the Digital Age: Evidence from the “Safe Cars Save Lives” Campaign

The unprecedented number of product recalls in recent years and subsequent low consumer recall compliance raise questions about the role of regulatory agencies in ensuring safety. In this study, the authors develop a conceptual framework to test the impact of a regulator-initiated digital marketing campaign (DMC) on consumer recall compliance. The empirical context is the launch of a nationwide DMC by the U.S. automobile industry’s regulator. The analysis utilizes recall completion data from 296 product recalls active both before and after the DMC’s launch. The results show that the DMC improves consumer recall compliance. In the first four quarters after it was introduced, the DMC increased the number of vehicles fixed, on average, by 20,712 per recall campaign over what would be expected without the DMC. Regarding boundary conditions, the study finds that the DMC is more effective for recall campaigns with greater media coverage and for those with older recalled products. However, the DMC’s effect weakens as the time needed to repair a defective component increases. The findings should help regulators make compelling cases for greater resource allocation toward digital initiatives to improve recall compliance.
Analysis of the Correlation between Static Visual Stimuli, Eye Movements, and Brain Signals

Analysis of the correlation among the activities of the eyes and brain is an important research area in physiological science. In this paper, we analyzed the correlation between the reactions of eyes and the brain during rest and while watching different visual stimuli. Since every external stimulus transfers information to the human brain, and on the other hand, eye movements and EEG signals contain information, we utilized Shannon entropy to evaluate the coupling between them. In the experiment, 10 subjects looked at 4 images with different information contents while we recorded their EEG signals and eye movements simultaneously. According to the results, the information contents of eye fluctuations, EEG signals, and visual stimuli are coupled, which reflect the coupling between the brain and eye activities. Similar analyses could be performed to evaluate the correlation among the activities of other organs versus the brain.
Effects of Fruit Bagging on Anthocyanin Accumulation and Related Gene Expression in Peach

Fruit bagging is a popular agricultural practice that has been widely used to physically protect fruit. However, the application of fruit bags usually has various effects on fruit quality. In this study, three kinds of paper bags with different colors and transmittance were applied to investigate their effects on the skin coloration and related gene expression of peach (Prunus persica). Our findings showed that bagging treatment inhibited anthocyanin accumulation and the expression of related structural and regulatory genes in the peach pericarp. To a certain extent, the inhibitory effects were negatively correlated with the light transmittance of these paper bags. The expression of MYB10.1 was also suppressed by fruit bagging and was highly consistent with anthocyanin content in peach pericarps, which indicated that MYB10.1 might have a critical role in the light-mediated regulation of anthocyanin production in peach pericarps. These findings further enrich our theoretical knowledge of the regulation of anthocyanin synthesis in peach fruit and provide a theoretical basis for common horticultural practices.
Tutorial on optoelectronic oscillators

Microwave photonic approaches for the generation of microwave signals have attracted substantial attention in recent years, thanks to the significant advantages brought by photonics technology, such as high frequency, large bandwidth, and immunity to electromagnetic interference. An optoelectronic oscillator (OEO) is a paradigmatic microwave photonic oscillator that produces microwave signals with ultra-low phase noise, thanks to the high-quality-factor of the OEO cavity that is achieved with the help of optical energy storage elements, such as low-loss optical fiber or a high-quality-factor optical resonator. Different OEO architectures have been proposed to generate spectrally pure single-frequency microwave signals with ultra-low phase noise. Multiple oscillation mode control methods have been proposed in recent years to obtain different kinds of microwave signals. With the rapid development of photonic integration technologies, prototypes of integrated OEOs have been demonstrated with compact size and low power consumption. Moreover, OEOs have also been used for sensing, computing, and signal processing. This Tutorial aims to provide a comprehensive introduction to the developments of OEOs. We first discuss the basic principle and the key phase noise property of OEOs and then focus on its developments in spectrally pure low phase noise signal generation and mode control methods, its chip-scale integration, and its applications in various fields.
Incomplete Multi-View Clustering With Joint Partition and Graph Learning

Incomplete multi-view clustering (IMC) aims to integrate the complementary information from incomplete views to improve clustering performance. Most existing IMC methods try to fill the incomplete views or directly learn a common representation based on matrix factorization or subspace learning. The former may introduce useless and/or even noisy information especially for data with a large missing rate. The latter relies on the initialization and ignores the data structures. To address these issues, we propose a novel Joint Partition and Graph (JPG) learning method for IMC. JPG can be formulated by two key components: unified partition space learning and consensus graph learning. The partition space is more robust to noise and the graph learning helps uncover the data structures. Specifically, JPG iteratively constructs local incomplete graph matrices, generates incomplete base partition matrices, stretches them to produce a unified partition matrix, and employs it to learn a consensus graph matrix. For efficiency, JPG adaptively allocates a large weight to the stretched base partition that is close to the unified partition, determines parameters, and imposes a low-rank constraint on graphs. Finally, the clusters can be obtained directly from the consensus graph. Experimental results on several benchmark datasets demonstrate the effectiveness and superiority of JPG over the state-of-the-art baselines.
Photoelectrochemical Generation of Hydrogen from Water Using a CdSe Quantum Dot-Sensitized Photocathode

The present study reports photelectrochemical H2 evolution using a water-solubilized S3-cap-CdSe quantum dot-sensitized NiO as the photocathode and either [Co(bdt)2]− (bdt =1,2-benzenedithiolate) or Ni(DHLA)x (DHLA= the anion of dihydrolipoic acid) complex as the H2-forming catalyst. The NiO-S3-cap-CdSe/[Co(bdt)2]− system produces H2 with a turnover frequency of 3000 per CdSe mol·h. Faradaic efficiency for this system is essentially quantitative. Both systems are stable for more than 16 h.
Youth perceptions of Brand variant names on standardised cigarette packs, and responses to replacing these with numbers: a focus group study in Britain

Abstract Tobacco companies use brand variant name on cigarette packaging to differentiate, and create interest in, their products. We explored young peoples’ reactions to brand variant names on cigarette packs and perceptions of replacing these with numbers, a proposed policy in Turkey. Twelve focus groups, segmented by gender, age (11-12, 13-14, 15-16) and social grade (ABC1, C2DE), were conducted across Britain from May–July 2018 (n = 89). Participants were asked what they thought about brand names in general, and on cigarette packs, and perceptions of replacing the brand variant name on cigarette packs with a number. Brand (variant) name was considered important for products, including cigarettes, and thought to communicate information about the product, image, price, and taste, and encourage purchase. Although replacing brand variant names on cigarette packs with numbers caused confusion, several participants mentioned that it would eliminate any remaining marketing power that the pack may have. They thought that numbered cigarette packs could be off-putting due to the absence of a familiar brand name, although the impact on smokers was considered negligible. Although adolescents were not clear on the rationale for numbered cigarette packs, some suggested that this would reduce one of the few remaining promotional features on standardised packs.
Healthcare Providers’ Perceptions on Desired Attributes for Mhealth Apps to Improve Adolescents and Young Adults Living with HIV Healthcare Outcomes in Pandemics like COVID-19: A Qualitative Evidence Review

Aim: This review explores perceptions of healthcare providers (HcPs) on desirable attributes for mobile-health Applications in emergencies and pandemics like COVID 19. Background: Studies in all study settings have reported encouraging potential for Mobile-health (mHealth) technologies in improving health outcomes by preventing treatment interruption. However, literature bears little evidence of use in information dissemination in emergencies and pandemics like COVID 19. It was rather more on monitoring and evaluation. Paying little attention to information and mental health support in emergencies and pandemics as one of the key drivers of innovation adoption has been widely cited as a notable mHealth limitation. Methods: This systematic review navigated through English authored peer-reviewed publications from health, computer engineering and social science repositories as guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. The search was confined between February 2018 and April 2021 thus, yielding eleven (11) complete-text publications. Results: HcPs in the reviewed literature have used mobile-technology applications for monitoring and management of sexual (18.2%), reproductive & maternal health (9.1%), HIV (45.5%), Malaria (9.1%) and other chronic diseases (36.4%). Commonly mentioned sub-features in 72.7% of the studies identified motivation and trust attributes as desirable, 36.4% highlighting synchronism of technology, adaptability of App with different mobile-phones recorded in 45.5% of the studies while 63.6% value the fit-for-purpose attribute. These features were cited as desirable with little evidence of the geo-social influence of the users nor socio-economic setting. Conclusion: The study exposed the HcPs’ perceptions to the mobile-technology attributes as customised requirements, process requirements, moderating information-technology constructs and intervening & dependent requirements. Geospatial setting and income status of the country are less important in shaping the perceptions of HcPs as users of the mobile-technology.
The effects of increasing amounts of vermicompost and a fixed amount of Rhodobacter capsulatus applications on macro and micro elements of plant and soil samples

Abstract Soil pollution increases day by day due to excessive use of inorganic fertilizers and pesticides which can disturb natural environment of the soil when applied consistently. Sustainable and healthy agricultural in long term, however, can be obtained by the utilization of organic fertilizers and bacterial fertilizers. This study was carried out to investigate the effects of bacteria and vermicompost applications on soil fertility and some nutrient elements of exotic plant Malabar spinach (Basella alba L.). Standard variety green Malabar spinach was used as plant material and Rhodobacter capsulatus and solid vermicompost were used as fertilizers in this study. The experiment was conducted according to the randomized block design in triplicates. The trials in the study were as follows: control, only bacteria (B) (10 mL/pot), only solid vermicompost (8%), and three different vermicompost concentrations (V1: 4%. V2: 8%. V3: 12%) with fixed amount of bacteria (10 mL/pot). The bacteria and vermicompost were mixed with soil during planting. The results showed that the bacteria + vermicompost applications increased the N, P, K, Cu, Zn and Mn decreased Ca and had no significant effect on Mg and Fe contents of the plants. This application had the same effect on the experimental soil in terms of the mentioned elements. The effects of only bacteria and only vermicompost applications on some micro and macro nutrient elements of the plant and soil varied. The results suggested that the use of organic fertilizer and bacterial fertilizers on soils that are mostly poor in terms of organics is important and should be extended.
The leaching of South Kalimantan ilmenite decomposed by NaOH using sulfuric acid solution

Judul: Pelindian Ilmenit Kalimantan Selatan Terdekomposisi Basa NaOH Menggunakan Larutan Asam Sulfat Title: The leaching of South Kalimantan ilmenite decomposed by NaOH using sulfuric acid solution One of the uses of ilmenite in life is as a precursor to TiOSO 4 . The raw material used for the manufacture of TiOSO4 precursors is ilmenite with the chemical formula FeTiO3. Ilmenite extraction can be carried out through sulphate and chloride pathways. In the extraction of the ilmenite chloride pathway, the results of the alkaline decomposition will go through a leaching process by using HCl as a solvent. The kinetic aspects are studied to determine the rate control of the leaching process, so that the process takes place effectively and efficiently. To determine the optimum process parameters, analysis was carried out through variations in the concentration of HCl 3M, 5M, 7M, 9M, and 12M. Variations in the leaching temperature were observed start from 70°C, 80°C, 90°C, 100°C, 110°C, and 120°C. The variations in the leaching time were analyzed from 30 minutes, 60 minutes, 90 minutes, 120 minutes, 150 minutes, up to 180 minutes. The results showed that the optimum ilmenite leaching parameters in South Kalimantan were effective by decomposing NaOH by using 9M HCl, with a leaching time of 90 minutes. Increasing the leaching temperature resulted in an increase in Ti contents. The chemical reaction acts as a kinetics regulator for the leach reaction rate of ilmenite with an activation energy of 20 kJ/ mol.
Enhancing EFL learners’ intracultural development as cultural communicators through YouTube video-making

ABSTRACT Intracultural learning, building knowledge of one’s native culture, is fundamental in developing learners into intercultural communicators. Integrating intracultural learning into the English curriculum could be a key to preparing English as a Foreign Language (EFL) students as cross-cultural communicators to people in non-English-speaking countries. The aim of this study was to investigate how assuming the role of local cultural material developers by making promotional YouTube videos helped EFL learners prepare to become socio-cultural agents to introduce themselves and their local culture to the world. Seventy-one participants were recruited from Multimedia English. Data included the students’ concept-mapping worksheets, YouTube videos and final reflective oral presentations. Thematic analysis was used for data analysis. The results revealed that making YouTube videos helped EFL students to communicate aspects of their own culture, thereby enhancing their intracultural understanding and empowering them to take ownership of their learning. Practical implications and other issues were also discussed.
Model‐driven architecture based security analysis

This paper proposes a Model‐Driven Architecture approach for the development of an embedded system validation platform namely Model‐Based Security Analysis for Embedded Systems (MBSAES). The security properties are formally modeled and verified at an early stage of the design process of the system, which helps to reduce late errors and development time. A separation of the attack scenarios and the system design from the implementation details has been respected. To transform semi‐formal models from SysML to NuSVM model checking platform, two Model‐to‐Text, horizontal and exogenous transformations have been implemented. The first one employs a programming approach with Java to create a Computational Tree Logic specification from an Extended Attack Tree, whereas the second one uses a template approach with Acceleo to generate NuSMV code from SysML structural and behavioral models. To illustrate our approach, a case study, involving attacks aiming to unlock car door systems, via signal jamming and code replaying, is considered. The results of this research will contribute to the automatic validation of system designs against security vulnerabilities via a database of extended attack trees building from existing atomic attacks.
Transcriptomic and Metabolomic Studies Reveal Mechanisms of Effects of CPPU-Mediated Fruit-Setting on Attenuating Volatile Attributes of Melon Fruit

N1-(2-chloro-4-pyridyl)-N3-phenylurea (CPPU), a synthetic cytokinin-active compound, is widely applied to induce parthenocarpic fruit set and enhance melon fruit enlargement (Cucumis melo L.). CPPU may also influence fruit quality; however, the mechanisms through which this occurs remain unknown. We investigated the differences in volatile emissions between parthenocarpic fruit set by CPPU (C) and seeded fruit set by artificial pollination (P). Gas chromatography–mass spectrometry (GC–MS) analysis revealed that six volatile organic compounds (VOCs) emitted by the P-group fruits were not detected in C-group fruits. The relative abundances of another 14 VOCs emitted by the CPPU-treated fruits were less than those in the P-group fruits. RNA sequencing analysis indicated that a total of 1027, 994, and 743 differentially expressed genes (DEGs) were detected in the C20 (treatment with 20 mg·L–1 CPPU) vs. P, P-C20 (pollination followed by 20 mg·L−1 CPPU treatment) vs. P, and P-C20 vs. C20 treatments, respectively. Compared with the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases, the DEGs related to fatty acid degradation and metabolism, which contribute to volatile production, were enriched. In particular, DEGs such as carotenoid cleavage dioxygenase (CCD)-, lipoxygenase (LOX)-, alcohol dehydrogenase (ADH)-, and alcohol acyltransferase (ATT)-related genes were closely related to the formation of volatiles. In summary, our study provides a metabolic and transcriptomic atlas, reveals the impact of CPPU on VOCs, and enhances our understanding of the mechanisms of CPPU that contribute towards generally reducing the quality of melon fruit.
On the use of Cauchy integral formula for the embedding problem of discrete-time Markov chains

Abstract In manpower planning there is an interesting, practically important and open challenging issue arising from the instances where a transition matrix over a certain short time interval is required but only a transition matrix over a longer time interval may be available. For example, the problem of finding a meaningful th root of an observable stochastic matrix within the context of Markov chains. The more general problem is divided into three phases, viz. embeddability, inverse, and identification problems. By exploiting the Cauchy’s integral formula with the integrand defined on the Runnenberg’s heart-shaped region, a new representation for a stochastic matrix that is embeddable is derived. New conditions for embeddability and regularization of stochastic matrices are provided. Examples are presented to illustrate the utility of the Cauchy’s representation formula and its consequences.