Miracle-dz/UniFAR-FTUs huggingface dataset:
Electronic energy transfer in biomacromolecules

Electronic energy transfer is widely used as a molecular ruler to interrogate the structure of biomacromolecules, and performs a key task in photosynthesis by transferring collected energy through specialized pigment–protein complexes. Förster theory, introduced over 70 years ago, allows linking transfer rates to simple structural and spectroscopic properties of the energy‐transferring molecules. In biosystems, however, significant deviations from Förster behavior often arise due to breakdown of the ideal dipole approximation, dielectric screening effects due to the biological environment, or departure from the weak‐coupling regime. In this review, we provide a concise overview of advances in simulations of energy transfer in biomacromolecules that allow overcoming the main limitations of Förster theory. We first discuss advances in quantum chemical methods to compute electronic couplings, their extension to multiscale formulations to include screening effects, and strategies to treat the interplay between coupling fluctuations and energy transfer dynamics. We then examine the spectral overlap term, and how this quantity can be estimated from simulations of the spectral density of exciton–phonon coupling. Finally, we discuss rate theories that can describe energy transfers in situations where strong coupling leads to delocalized excitions, a common situation found in closely packed multichromophoric systems such as photosynthetic complexes and nucleic acids.
Attribute-Based Encryption for Access Control in Cloud Ecosystems

We introduce a distributed, fine-granuled, policy-based resource access control protocol leveraging on Attribute-Based Encryption. The protocol secures the whole access control procedure from the authorization issuer to the resource server providing grant confidentiality, proof of possession, antiforgery and may be implemented through a developer familiar web token exchange flow plus a HTTP basic authentication flow. As such, it may map to Cloud computing SaaS paradigm, enabling microservices integration into a single, authorization-centric digital ecosystem, even across multiple identity domains. We also present the results of a performance evaluation on a first prototype implementation.
An Overview of Wearable Piezoresistive and Inertial Sensors for Respiration Rate Monitoring

The demand for wearable devices to measure respiratory activity is constantly growing, finding applications in a wide range of scenarios (e.g., clinical environments and workplaces, outdoors for monitoring sports activities, etc.). Particularly, the respiration rate (RR) is a vital parameter since it indicates serious illness (e.g., pneumonia, emphysema, pulmonary embolism, etc.). Therefore, several solutions have been presented in the scientific literature and on the market to make RR monitoring simple, accurate, reliable and noninvasive. Among the different transduction methods, the piezoresistive and inertial ones satisfactorily meet the requirements for smart wearable devices since unobtrusive, lightweight and easy to integrate. Hence, this review paper focuses on innovative wearable devices, detection strategies and algorithms that exploit piezoresistive or inertial sensors to monitor the breathing parameters. At first, this paper presents a comprehensive overview of innovative piezoresistive wearable devices for measuring user’s respiratory variables. Later, a survey of novel piezoresistive textiles to develop wearable devices for detecting breathing movements is reported. Afterwards, the state-of-art about wearable devices to monitor the respiratory parameters, based on inertial sensors (i.e., accelerometers and gyroscopes), is presented for detecting dysfunctions or pathologies in a non-invasive and accurate way. In this field, several processing tools are employed to extract the respiratory parameters from inertial data; therefore, an overview of algorithms and methods to determine the respiratory rate from acceleration data is provided. Finally, comparative analysis for all the covered topics are reported, providing useful insights to develop the next generation of wearable sensors for monitoring respiratory parameters.
Examination of a Middle School Mathematics Preservice Teacher’s Interpretation Skills

This study aims to explore one preservice teacher’s interpretation of student mathematical thinking using pattern recognition and linear function tasks. Specifically, the research question for this study was as follows: How does a preservice middle grade mathematics teacher interpret student mathematical thinking using tasks designed to test students’ pattern recognition and linear function abilities? The preservice teacher, Amy, was a middle school preservice teacher from the Mathematics and Science Education Department of a major land-grant university in the southeastern Unites States. The data consists of Amy’s responses during a face-to-face, semi-structured interview, written work she produced during the interview, and a careful analysis of a transcript of the interview. With regards to interpreting important mathematical ideas in students’ work in the National Council of Teachers of Mathematics [NCTM] videos, this study found that the preservice teacher provided explanations of specific important mathematical ideas and their meaning. When the preservice teacher interpreted students’ mistakes or misconceptions, she explained the misconceptions mathematically rather than providing specific examples from the video. In terms of interpreting the similarities between students’ reasoning, the preservice teacher’s description of the similarities between students’ reasoning was broad. Depending on the task and how many times she watched the videos, either one or two times, the extent to which she provided evidence varied when she interpreted the differences between students’ reasoning. This study revealed that the strength of the preservice teacher’s interpretation strategies varied depending on the tasks. The preservice teacher did not provide detailed explanations of students’ reasonings when watching NCTM videos even though she solved all the tasks in multiple ways and explained the key concepts while solving the problems.
ddRAD Sequencing Sheds Light on Low Interspecific and High Intraspecific mtDNA Divergences in Two Groups of Caddisflies

Large-scale global efforts on DNA barcoding have repeatedly revealed unexpected patterns of variability in mtDNA, including deep intraspecific divergences and haplotype sharing between species. Understanding the evolutionary causes behind these patterns calls for insights from the nuclear genome. While building a near-complete DNA barcode library of Finnish caddisflies, a case of barcode-sharing and some cases of deep intraspecific divergences were observed. In this study, the Apatania zonella (Zetterstedt, 1840) group and three Limnephilus Leach, 1815 species were studied using double digest RAD sequencing (ddRAD-seq), morphology, and DNA barcoding. The results support the present species boundaries in the A. zonella group species. A morphologically distinct but mitogenetically nondistinct taxon related to parthenogenetic Apatania hispida (Forsslund, 1930) got only weak support for its validity as a distinct species. The morphology and genomic-scale data do not indicate cryptic diversity in any of the three Limnephilus species despite the observed deep intraspecific divergences in DNA barcodes. This demonstrates that polymorphism in mtDNA may not reflect cryptic diversity, but mitonuclear discordance due to other evolutionary causes.
The Size of Asset of Private Company’s and Its IPO’s Underpricing, A Study in Indonesia for Period 2010-2016

This paper is conducted to examine the influence of the company's size (assets) on IPO's underpricing in Indonesia. The sample used is stocks listed on the Indonesia Stock Exchange and actively traded during the period January 2010 to December 2017. The number of stocks that meet the research criteria is 112 stocks. The form of data used in this study is panel data. The analytical tool used is a regression with the EViews 10.0 statistical program. As a result, the independent variable's assets have no significant influence on the dependent variable (underpricing).
Aspergillus niger inactivation in microwave rotary drum drying of whole garlic bulbs and effect on quality of dried garlic powder

Abstract Microwave rotary drum drying of whole garlic bulbs was investigated for the Aspergillus niger inactivation and moisture removal. The Weibull and Bigelow models were applied to microbial inactivation data. Garlic bulbs with initial moisture content in the range 1.95–2.14 g water g−1 dry matter were dried up to 0.06 g water g−1 dry matter. The microwave power density (PD) was varied from 1.03 to 2.67 Wg−1 at 1.5 and 2.0 pulsation ratios (PRs). Effect of PD and PR on A. niger inactivation, product temperature, moisture diffusivity, moisture ratio, drying rate, color, and sensory parameters was studied. Page model was found to be a better fit for microwave rotary drying characteristics of whole garlic bulbs. Microwave rotary drum drying resulted in the average log reduction of A. niger between 1.12 and 1.60. Weibull model predicted A. niger inactivation better than the Bigelow model as it considered the nonlinearity associated with a microbial population in the sterilization process. Garlic powder prepared at 2.0 PR and 1.85 Wg−1 PD was chosen as the best process based on sensory score. The cracking and peeling of garlic cloves were observed during microwave rotary drum drying. The SEM images confirmed the increase in the pore size of the microwave treated garlic sample than the untreated garlic which might be the reason for cracking and loosening of peel in garlic.
Quantum-chemically computed integral characteristics of complex nanomaterials

Development of theoretical tools to analyze electronic structure of complex nanomaterials depending on features of spatial and chemical organizations of different phases is of interest from both practical and theoretical points of view. Therefore, in this work, an approach based on computations of the atomic charge distribution functions (CDF) in parallel to calculations of the distribution functions of the chemical shifts (SDF) of protons is developed to be applied to a set of complex oxide and carbon nanomaterials. Binary nanooxides (alumina/silica, titania/silica), 3d-metal-doped anatase, activated carbon, carbon nanotube, fullerene C 60 , graphene oxide, and N-doped Kagome graphene are considered here as representatives of different classes of nanomaterials. The analyses of the CDF and SDF as nonlocal characteristics of certain kinds of atoms in complex systems provide a deeper insight into electronic structure features depending on composition of the materials, guest phase-doped host phase at various amounts of dopants, structure of O- and OH-containing surface sites, amounts and organization of adsorbed water, formation of neutral and charged surface functionalities, bonding of solvated ions, etc. The CDF of metal and hydrogen atoms (electron-donors) are more sensitive to the mentioned factors than the CDF of O, N, and C atoms (electron acceptors) in various systems. As a whole, the use of the CDF and SDF in parallel expands the tool possibility in detailed analysis of the structural and interfacial effects in dried and wetted complex nanomaterials.
Methyl-Beta-Cyclodextrin Restores KIR Channel Function in Brain Endothelium of Female Alzheimer’s Disease Mice

Background: As the sixth-leading cause of death in the United States, Alzheimer’s disease (AD) entails deteriorating endothelial control of blood flow throughout the brain. In particular, reduced inward-rectifying K+ (KIR) channel function in animal models of aging and AD compromises endothelial function and optimal perfusion of brain parenchyma. Deficient endothelial KIR channels may result from aberrant interaction with plasma membrane cholesterol as a primary regulator of membrane fluidity and ion channels. Objective: We tested the hypothesis that mild methyl-β-cyclodextrin (MβCD) treatment to reduce membrane cholesterol may restore endothelial KIR channel function in brain endothelium of old AD mice. Methods: Membrane potential was continuously measured in isolated endothelial tubes from posterior cerebral arteries of young (1 to 3 months) and old (16 to 19 months) female 3xTg-AD mice before and after mild treatment with the cholesterol-removing agent MβCD (1 mmol/L). Elevated extracellular potassium ([K+]E; 15 mmol/L) and NS309 (1μmol/L) activated KIR and Ca2+-activated K+ (SKCa/IKCa) channels respectively before and after MβCD treatment. Results: SKCa/IKCa channel function for producing hyperpolarization remained stable regardless of age group and MβCD treatment (ΔVm: ∼–33 mV). However, as deficient during AD, KIR channel function was restored (ΔVm: –9±1 mV) versus pre-MβCD conditions (–5±1 mV); a progressive effect that reached –14±1 mV hyperpolarization at 60 min following MβCD washout. Conclusion: In female animals, MβCD treatment of brain endothelium selectively restores KIR versus SKCa/IKCa channel function during AD. Thus, the endothelial cholesterol-KIR channel interface is a novel target for ameliorating perfusion of the AD brain.
Exploring the Use of Chatrooms by Developers: An Empirical Study on Slack and Gitter

Communication is critical for the software development teams to maintain project awareness, facilitate project co-ordination and avoid misunderstandings. The features offered in the chatrooms, such as private messaging, group conversations, and code sharing help accommodate the communication needs of the software development teams. Therefore, chatrooms have been increasingly adopted among the developers. Since the last study on Slack performed by (Lin et al. 2016), the audience of Slack has more than doubled possibly leading to an evolution of the ways Slack is used; while another rich community formed around Gitter and remains unstudied. In this paper, we perform an investigative study using qualitative and quantitative techniques to gain insights on the use of popular modern chatrooms, specifically Slack and Gitter. Based on the survey responses from 163 developers, the interviews with 21 developers, and the chatroom data collected from 11 Slack and 770 Gitter rooms, we are able to uncover the reasons behind the use of Slack and Gitter, the perceived impact on the associated projects, and the quality determinants of the two chatrooms. We find that the developers seek knowledge from the chatrooms to obtain timely feedback from experts, and in return share their expertise to build the project community and their reputations. Furthermore, it is perceived by the Gitter developers that the chatrooms have an impact on prioritizing the new features and the bug fixes. In Slack, the most reported impact concerns an increased project awareness, in terms of a better tracking of the work progress. As reported on the developers’ survey, both Slack and Gitter chat services have a visible impact on mentoring developers, and sharing the best practices. In terms of quality determinants, a non-ephemeral history and a better history management (e.g., advanced search) could be keys for both chat services to reach their full potential.
Cellulose Dissolution in Ionic Liquid: Ion Binding Revealed by Neutron Scattering

Dissolution of cellulose in 1-ethyl-3-methylimidazolium acetate (EMIMAc) ionic liquid (IL) was investigated by small-angle neutron scattering (SANS) with contrast variation. Cellulose and EMIMAc of different deuteration levels provide sufficient contrast in revealing the cellulose dissolution processes. Two experiments were performed: hydrogenated microcrystalline cellulose (MCC) was dissolved in deuterated IL (IL-D14), and deuterated bacterial cellulose (DBC) was dissolved in hydrogenated IL (IL-H14). Contrary to the expectation of high contrast between MCC and IL-D14, a dramatic reduction of the measured intensity (scattering cross section) was observed, about 1/3 of the value predicted based on the scattering length density (SLD) difference. This is attributed to the tight binding of acetate ions to the cellulose chains, which reduces the SLD difference. Measurements using small-angle X-ray scattering (SAXS) corroborate this effect by indicating increased contrast due to ion adsorption resulting in enh.
Enhancing Adaptive Frequency Hopping for Bluetooth Low Energy

The quality of Bluetooth Low Energy (BLE) connections can be improved by deactivating wireless channels when external interference is detected. The BLE standard contains basic requirements to implement this behavior. However, it does not specify how channels should be classified and disabled, leaving the details up to the implementations. In this paper, an implementation is presented and evaluated, based partially on existing work. A new algorithm for re-activating channels that were previously disabled in order to allow for operation in dynamic environments with changing background interference is proposed and demonstrated to deliver improvements over existing work, resulting in better connection stability. Finally, an evaluation under real-world conditions confirms the improvements to BLE connections that were previously only shown in controlled testing environments.
Investigation of MHD free convection of power‐law fluids in a sinusoidally heated enclosure using the MRT‐LBM

Magnetohydrodynamical free convective heat transfer flow of non‐Newtonian power‐law fluids has been analyzed numerically. For numerical simulation, the multiple‐relaxation‐time (MRT) lattice Boltzmann method (LBM) has been employed based on graphics process unit (GPU) computing. The computational domain is a two‐dimensional square cavity with thermally adiabatic upper and base walls, uniformly heated left wall, and sinusoidal heat distribution on the right wall. There is no research on non‐Newtonian fluid using MRT‐LBM using this configuration. Hence it is a new study in this field and novel results have been achieved with the magnetic field effect and sinusoidal wall temperature. The numerical simulations are carried out for different vital parameters such as thermal Rayleigh number ( R a ) , Hartmann number ( H a ) , and power‐law index ( n ) to study the characteristics of heat transport along with the flow physics inside the square enclosure. The streamlines and isotherms elucidate the distribution of fluid flow and energy within the cavity. The energy transfer phenomena are interpreted as the local Nusselt number ( N u ) distribution and the average Nusselt number ( N u ¯ ) along the heated wall. Computational results show that the rate of energy transfer is attenuated due to the augmentation of the magnetic field. However, ( N u ¯ ) exhibits direct correspondence with the Rayleigh number and an inverse relation with the power‐law index ( n ) . The elevation of Hartmann number ( H a ) results in the diminution of N u and N u ¯ for pseudoplastic fluid ( n < 1 ) by 82.65% and 86.04%, respectively. Moreover, the temperature distribution ( θ ) of R a = 1 0 5 amplifies by 95.83% compared to R a = 1 0 4 as the fluid transitions from pseudoplastic to dilation behavior. For GPU computing, the NVIDIA CUDA C programming platform is used in the present study.
Mapping co‐regulatory interactions among ligand‐binding sites in ryanodine receptor 1

Ryanodine receptor 1 (RyR1) is an intracellular calcium ion (Ca2+) release channel required for skeletal muscle contraction. Although cryo‐electron microscopy identified binding sites of three coactivators Ca2+, ATP, and caffeine (CFF), the mechanism of co‐regulation and synergy of these activators is unknown. Here, we report allosteric connections among the three ligand‐binding sites and pore region in (i) Ca2+ bound‐closed, (ii) ATP/CFF bound‐closed, (iii) Ca2+/ATP/CFF bound‐closed, and (iv) Ca2+/ATP/CFF bound‐open RyR1 states. We identified two dominant networks of interactions that mediate communication between the Ca2+‐binding site and pore region in Ca2+ bound‐closed state, which partially overlapped with the pore communications in ATP/CFF bound‐closed RyR1 state. In Ca2+/ATP/CFF bound‐closed and ‐open RyR1 states, co‐regulatory interactions were analogous to communications in the Ca2+ bound‐closed and ATP/CFF bound‐closed states. Both ATP‐ and CFF‐binding sites mediate communication between the Ca2+‐binding site and the pore region in Ca2+/ATP/CFF bound—open RyR1 structure. We conclude that Ca2+, ATP, and CFF propagate their effects to the pore region through a network of overlapping interactions that mediate allosteric control and molecular synergy in channel regulation.
How Do Female and Male Characters Speak in the Japanese Translation of English Crime Novels?

The repertoire of linguistic expressions that index sociopragmatic meanings differs considerably from language to language. This difference becomes particularly noticeable when one language is translated into another. As an example, this study examines dialogs in the Japanese translations of two English crime novels to see how the translator deals with normatively gendered morphological forms in Japanese for which no corresponding forms exist in English. The analysis shows that although the same imperative, declarative, and interrogative forms are used for female and male characters in the English originals, in the translations, gendered forms are used not simply based on the gender of the characters but on the interaction of gender with other social variables, in particular class and age. The results and their theoretical implications are discussed, employing the notions of indirect indexing, double-voiced discourse, and cultural filter.
Neural Correlation of Faradarmani Consciousness Field Mind Mediation: A Comparative Functional Connectivity and Graph Analysis

The study of the brain networks using analysis of electroencephalography (EEG) data based on statistical dependencies (functional connectivity) and mathematical graph theory concepts is common in neuroscience and cognitive sciences for examinations of patient and healthy individuals. The Consciousness Fields according to Taheri theory and applications in the optimization of system under study have been investigated in various studies. In this study, we examine the results of working with Faradarmani Consciousness Field (FCF) in the brain of Faradarmangars. Faradarmangars are one of the necessary components in mind mediation of the function of Faradarmani Consciousness Fields according to Taheri. For this purpose, the functional and effective connectivity and the corresponding brain graphs of EEG from the brain of Faradarmangars is compared with that of non Faradarmangar groups during FCF connection. According to the results of the present study, the brain of the Faradarmangars shows significant decreased activity in delta (BA8), beta2 (BA4/6/8/9/10/11/32/44/47) and beta3 (in 34 of 52 BA) frequency bands mainly in frontal lobe and after that in parietal and temporal lobes in the comparison with the non Faradarmangars. Moreover, the functional and effective connectivity analysis in the frontal network shows dominant multiple decreased connectivity mainly in the case of beta3 frequency band in all parts of the frontal network. On the other hand, the graph theory analysis of the Faradarmangar brain shows an increase in the activity of the O2-T5-F4-F3-FP2-F8 areas and significant decrease in the characteristic path length and increases in global efficiency, clustering coefficient and transitivity. In conclusion, the unique higher graph function efficiency and the reduction in the brain activity and connectivity during the Faradarmani Consciousness Field mind mediation, shown the passive and detector like function of the human brain in this task.