Miracle-dz/UniFAR-FTUs huggingface dataset:
Synthesis , crystal structure , spectral analysis and theoretical investigation of ( E )-3-( 4-( dimethylamino ) phenyl )-1-( 2-hydroxyphenyl ) prop-2-en-1-one by DFT and AIM theory

A new chalcone (E)-3-(4-(dimethylamino) phenyl)-1-( 2-hydroxyphenyl) prop-2-en-1-one was synthesized an characterized by elemental analyses, FT-IR, H NMR, UV-Vis spectroscopy and single crystal X-ray . Quantum chemical calculations have been performed at DFT level of theory using B3LYP functional an d 6-311G (d, p) as basis set. The geometrical parameters of th e compound obtained from XRD studies are in agreeme nt with the calculated DFT parameters. The calculated H NMR chemical shifts using gauge including atomic orbitals (GIAO) approach are in good conformity with the observed c hemical shifts. Potential energy distribution (PED) for the normal modes of vibrations was done using Gar2ped p rogram. The time dependent density functional theory (TD-DFT) was used to assign the nature of diffe rent electronic transitions within molecule in gas as well as in solvent phase. Non linear optical (NLO) behavior of title compound was investigated by the computed va lue of first hyperpolarizability ( β0). Also, the solvent induced effect on the NLO prop e ties were studied by using self-constitent reaction field (SCRF) method using polarised contin uum model (PCM). Stability of molecules as a result of hyperconjugative interactions and electron delocalizatio n were analyzed using NBO analysis. Intramolecular interactions were analyzed by AIM approach. The chemical reactiv ity descriptors were calculated to study the reacti ve sites within molecule.
LOW SULFIDE AU QUARTZ VEINS

OF RELEVANT GEOLOGIC, GEOENVIRONMENTAL, AND GEOPHYSICAL INFORMATION Deposit geology These deposits consist of Archean through Tertiary quartz veins, primarily mined for their gold content, that generally contain no more t han 2 to 3 volume percent sulfide minerals, mainly pyrite, in allochthonous terranes dominated by greenstone and turbidite sequences that have been metamorphosed to greenschist facies. Wall rocks contain abundant carbonate and sulf ide minerals, quartz, and sericite. Arsenic and antimony are enriched in alteration haloes (fig. 1). These deposits are also known as mesothermal, Mother Lode-type, orogenic, metamorphic rock-hosted, greenstone gold (Archean), turbidite-hosted (Phanerozoic), and slate belt gold (Phanerozoic) deposits. Low sulfide gold quartz veins in the United States are presently being mined and prospected within rocks of accreted lithotectonic terr anes along both continental margins. Development of Paleozoic lode deposits in recent years has been restricted to the South Carolina part of the Carolina slate belt. Open pit mining of the more than 1.5 million oz of gold at the Ridgeway mine, the largest of the deposits, is continuing at a rate of about 100,000 oz/yr. In the Mother Lode region of central California, a few old mines have been reopened in the last 10 to 15 years as open pit operations. Each has been recovering 500,000 to 750,000 oz of gold from low-grade, Early Cretaceous deposits. Production from the Alaska-Juneau and Kensington Eocene vein deposits in southeastern Alaska by underground operations is scheduled to commence during the next few years and will yield about 6 million oz of gold. In the Alaskan interior, open-pit mining will eventually yield 4 million oz of gold from the mid-Cretaceous Fort Knox deposit.
A Review on Deep Sequential Models for Forecasting Time Series Data

Deep sequential (DS) models are extensively employed for forecasting time series data since the dawn of the deep learning era, and they provide forecasts for the values required in subsequent time steps. DS models, unlike other traditional statistical models for forecasting time series data, can learn hidden patterns in temporal sequences and have the memorizing data from prior time points. Given the widespread usage of deep sequential models in several domains, a comprehensive study describing their applications is necessary. This work presents a comprehensive review of contemporary deep learning time series models, their performance in diverse domains, and an investigation of the models that were employed in various applications. Three deep sequential models, namely, artificial neural network (ANN), long short-term memory (LSTM), and temporal-conventional neural network (TCNN) along with their applications for forecasting time series data, are elaborated. We showed a comprehensive comparison between such models in terms of application fields, model structure and activation functions, optimizers, and implementation, with a goal of learning more about the optimal model used. Furthermore, the challenges and perspectives of future development of deep sequential models are presented and discussed. We conclude that the LSTM model is widely employed, particularly in the form of a hybrid model, in which the most accurate predictions are made when the shape of hybrids is used as the model.
Voltage Support under Grid Faults with Inherent Current Limitation for Three-Phase Droop-Controlled Inverters

A novel nonlinear current-limiting controller for three-phase grid-tied droop-controlled inverters that is capable of offering voltage support during balanced and unbalanced grid voltage drops is proposed in this paper. The proposed controller introduces a unified structure under both normal and abnormal grid conditions operating as a droop controller or following the recent fault-ride-through requirement to provide voltage support. In the case of unbalanced faults, the inverter can further inject or absorb the required negative sequence real and reactive power to eliminate the negative sequence voltage at the point of common coupling (PCC) whilst ensuring at all times boundedness for the grid current. To accomplish this task, a novel and easily implementable method for dividing the available current into the two sequences (positive and negative) is proposed, suitably adapting the proposed controller parameters. Furthermore, nonlinear input-to-state stability theory is used to guarantee that the total grid current remains limited below its given maximum value under both normal and abnormal grid conditions. Asymptotic stability for any equilibrium point of the closed-loop system in the bounded operating range is also analytically proven for first time using interconnected-systems stability analysis irrespective of the system parameters. The proposed control concept is verified using an OPAL-RT real-time digital simulation system for a three-phase inverter connected to the grid.
Clocking the assembly of double-barred galaxies with the MUSE TIMER project

The formation of two stellar bars within a galaxy has proved challenging for numerical studies. It is not yet clear whether the inner bar is born via a star formation process promoted by gas inflow along the outer bar or whether it is dynamically assembled from instabilities in a small-scale stellar disc. Observational constraints to these scenarios are scarce. We present a thorough study of the stellar content of two double-barred galaxies observed by the MUSE TIMER project, NGC 1291 and NGC 5850, combined with a two-dimensional multicomponent photometric decomposition performed on the 3.6 μμm images from S^4G. Our analysis confirms the presence of σ-hollows appearing in the stellar velocity dispersion distribution at the ends of the inner bars. Both galaxies host inner discs matching in size with the inner bars, suggestive of a dynamical formation for the inner bars from small-scale discs. The analysis of the star formation histories for the structural components shaping the galaxies provides constraints on the epoch of dynamical assembly of the inner bars, which took place >6.5 Gyr ago for NGC 1291 and >4.5 Gyr ago for NGC 5850. This implies that inner bars are long-lived structures.
The long and short of rDNA and yeast replicative aging

The budding yeast, Saccharomyces cerevisiae , is a popular single-cell eukaryotic model for studying mechanisms of aging, having played key roles in the identi ﬁ cation and characterization of several conserved longevity factors, including the canonical NAD + -dependent histone deacetylase Sir2 that silences transcription and maintains stability of the ribosomal DNA (rDNA) tandem array on chromosome XII (reviewed in ref. 1). Other Sir2 protein family members, the sirtuins, regulate numerous cellular functions linked with the aging of invertebrate models and mammals, thus making them central players in current aging research (2). The rDNA tandem arrays are among the most unstable loci in eukaryotic genomes, comprising up to hundreds of rRNA genes transcribed by RNA polymerase I in the nucleolus to drive ribosome biogenesis. In S. cerevisiae , the single rDNA array is especially unstable, as mother cells replicatively age due to DNA double-strand breaks (DSBs) within the intergenic spacers. Repair of these breaks can result in the excision and accumulation of extrachromosomal rDNA circles (ERCs) in mother cells that ultimately contribute to their senescence (3). Silencing by Sir2 normally suppresses improper excision in young cells, but natural depletion of Sir2 in older cells causes instability (4). In PNAS, Hotz et al. (5) now demonstrate that a major determinant of ERC and Sir2 levels, and therefore replicative aging in most strains, is the actual length (copy number) of the rDNA tandem array (Fig. 1). This has impor-tant implications for the interpretation of yeast replicative lifespan (RLS) studies and signals that rDNA copy number should be addressed in metazoan aging studies. RLS
Power Allocation of Non-Orthogonal Multiple Access Based on Dynamic User Priority for Indoor QoS-Guaranteed Visible Light Communication Networks

Non-orthogonal multiple access (NOMA) simultaneously provides multi-user access over the same frequency band or time period, which can significantly improve system throughput in visible light communication (VLC) networks. However, the different interference components of NOMA and the diversified user requirements in VLC are difficult to coordinate. To guarantee both throughput enhancement and quality of service (QoS) satisfaction, this paper presents a power allocation scheme based on dynamic user priority in indoor NOMA-VLC networks. We introduce fuzzy logic (FL) to flexibly analyse user priority and assign signal power using multi-dimensional user features. The experimental results show that our method achieves the best performance in terms of user fairness and satisfaction. In indoor VLC, which has small cells with a high user density, our method outperforms contrastive schemes in terms of the average user data rate (AUDR). Therefore, in comparisons between static and dynamic user priority, our study indicates the fairness advantages of FL for the dynamic evaluation of user priority. In comparisons between NOMA and orthogonal multiple access, our study reflects the AUDR advantages of non-orthogonal methods. Furthermore, in comparisons of user satisfaction, our method outperforms existing methods, indicating the achievement of the QoS guarantee.
Non Thermal Preservation of Meat by Irradiation : A Review

Accepted: 21/02/2014 Abstract Meat and meat products are excellent sources of pro tein, containing good balance of essential amino acids, vitamins, mi nerals and having a good biological value providing an excellent enviro nment for growth and multiplication of spoilage microorganism and food b orne pathogens. Nowadays, consumers demand minimally processed food with retaining natural attributes and giving “freshness” like appe arance. Irradiation is a non thermal technique that eliminates spoilage micr oorganisms and food borne pathogens while maintaining the naturality of food. Irradiation of meat helps in increasing the shelf life of meat. Ho wever there is change in the quality attributes of meat during irradiation.
Biosurfactant Assisted Degradation of High Ring Number PAHs Using a Two-Stage CSTR/Fully Submerged Fixed-Film Bioreactors in Series

Polycyclic aromatic hydrocarbons (PAHs) are released into the environment through natural activities such as forest fires and incomplete combustion of wood and decay of vegetable matter. Anthropogenic activities that release PAHs into the environment include activities such as combustion of coal and petroleum product processing. PAHs are not easily accessible to bacteria for degradation due to their low solubility in water. Among the notorious PAH are the high ring number PAHs (ring-number 4 - 7) that are extremely difficult to degrade due to their hydrophobicity which renders them insoluble in water. One such compound, fluoranthene (Flu), is a four ring PAH classified as a High Molecular Weight (HMW) compound. Due to the difficulty to degrade these compounds, it is necessary to find novel and environmentally compatible methods for treating them. In this study, PAH degrading organisms isolated from engine oil contaminated soil achieved 92 % removal of Flu in a fixed-film bioreactor operated at retention time of 1.19 h at 0.86 L.h-1 under fully submerged conditions. The predominant species of biosurfactant producing bacteria in the reactor were determined to be dominated by Pseudomonas aeruginosa using 16S rRNA genotype fingerprinting analysis.
Study on the in vitro digestion process of green wheat protein: Structure characterization and product analysis

Abstract In this study, the in vitro digestion process of green wheat protein (GWP) was explored by simulating the gastrointestinal digestion. The digestibility of GWP was 65.23%, and was mainly digested by trypsin. During the digestion process of GWP, large‐size particles are digested by pepsin, and medium‐sized particles are digested by trypsin into smaller particles; irregular large block structure with smooth surface was gradually turned into smaller blocks with porous surface; and the spatial conformation was loosened mainly by the unfolding of β‐sheet structure. Gel electrophoresis demonstrated that HMW glutenin and ω‐gliadins in GWP were completely digested, while LMW glutenin and α/β/γ‐gliadins were partially digested. Additionally, the peptide lengths were relatively dispersed after pepsin digestion. Most of the peptides (76.5%) fell into the range 3–15 amino acid after pepsin and trypsin digestion. The molecular weight (MW) of most pepsin digestion products was above 2000 Da, whereas the MW of trypsin digestion products was mainly concentrated in 500–2000 Da. Besides, the sensitizing peptide sequence of wheat protein was detected in the final digestion products of GWP. This research provided a theoretical guidance for the development and application of GWP.
Assessing forest governance in Albania

In the last 20 years, Albania has transferred the ownership and the responsibility of the management of 80% of forest area from central government to local government. The process was part of a wide decentralization reform aiming to tackle the challenges related to illegal logging activities, weak institutions, and capacities, unclear laws and regulations, frequent reforms in forest administration, high sector informality etc. Due to decentralization forest governance involve two levels of government and a range of stakeholders with different interests (local communities, forest owners, private sector, etc.). Although the reforms are under implementation, there is a lack of assessments, to analyze the governance challenges for the sector. Therefore, the aim of this paper is to provide an assessment of the status of forest governance in Albania, using a comprehensive analytical framework developed by FAO and PROFOR. The framework is based on three columns (i) policy, legal, institutional and regulatory frameworks, (ii) planning and decision-making processes and (iii) implementation enforcement and compliance. A set of 84 indicators, considered to be relevant for Albania, has been chosen out of 130 indicators proposed by PROFOR. The assessment is carried out through a survey, with a cross-section of 30 experts from various forest-related institutions (state and non-state). The results show that forest governance in Albania is far from good forest governance, despite some positive efforts. The reasons for this are no clear set of policy directions, conflicting or confusing laws, complex forest law and bylaws, no secure access to forest resources by local communities, low capacities of government (central and local) and non-government stakeholders, lack of transparency and accountability etc.
A NEW STRATEGY FOR ADAPTIVE IMPACT ABSORPTION ( AIA )

This contribution presents and overviews a new class of strategies for Adaptive Impact Absorption (AIA) and illustrates a selected strategy in a numerical example. The proposed strategies are based on a challenging approach of a semi-active management and dissipation of structural kinetic and potential energy. The entire process of AIA is considered, including its two main phases: semi-actively controlled reception of an impact and semi-actively controlled damping of the resulting structural vibrations. Management and redistribution of impact energy seems to be one of the most promising and challenging problems in the field of AIA, which requires a substantial theoretical progress in semi-active control strategies and in structural optimization, besides a technological progress in semi-active actuators.
Interactive comment on “ Assessing the impact of Clean Air Action Plan on Air Quality Trends in Beijing Megacity using a machine learning technique

This manuscript sets out to attribute changes in observed air pollution levels at monitors in Beijing with specific actions taken by the Chinese government under its 2013 Action Plan. The authors apply a Random Forest technique to separate influences of meteorology from daily measurements of multiple measurements. They then attempt to link changes in concentrations of the various pollutants to specific actions on individual source sectors.
ASYMPTOTIC INTEGRATION OF DYNAMICAL SYSTEMS A THESIS SUBMITTED TO THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES OF MIDDLE EAST TECHNICAL UNIVERSITY BY TÜRKER ERTEM IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY

ASYMPTOTIC INTEGRATION OF DYNAMICAL SYSTEMS Ertem, T̈urker Ph.D., Department of Mathematics Supervisor : Prof. Dr. Ăgacık Zafer January 2013, 51 pages In almost all works in the literature there are several resul ts showing asymptotic relationships between the solutions of x′′ = f (t, x) (0.1) and the solutions 1 and t of x′′ = 0. More specifically, the existence of a solution of (0.1) asymp totic to x(t) = at+ b, a,b ∈ R has been obtained. In this thesis we investigate in a systematic way the asympto tic behavior ast → ∞ of solutions of a class of di fferential equations of the form (p(t)x′)′ + q(t)x = f (t, x), t ≥ t0 (0.2) and (p(t)x′)′ + q(t)x = g(t, x, x′), t ≥ t0 (0.3) by the help of principal u(t) and nonprincipal v(t) solutions of the corresponding homogeneous equation (p(t)x′)′ + q(t)x = 0, t ≥ t0. (0.4) Here, t0 ≥ 0 is a real number, p ∈ C([t0,∞), (0,∞)), q ∈ C([t0,∞),R), f ∈ C([t0,∞) × R,R) and g ∈ C([t0,∞) × R × R,R). Our argument is based on the idea of writing the solution of x′′ = 0 in terms of principal and nonprincipal solutions asx(t) = av(t) + bu(t), wherev(t) = t andu(t) = 1. In the proofs, Banach and Schauder’s fixed point theorems are used. The compactness of the operator is obtained by employing the compactness criteria of Riesz a nd Avramescu. The thesis consists of three chapters. Chapter 1 is introduc t ry and provides statement of the problem, literature review, and basic definitions and theorems.
Can Studies of Trait Altruism be Trusted

of a dissertation at the University of Miami. Dissertation supervised by Professor Michael McCullough. No. of pages in text. (50) Studies using the self-report altruism scale (SRA) to measure trait altruism have found that altruism is uncorrelated with antisocial motives and positively correlated with being female and number of sex partners. However, it is unknown whether the SRA scale meets basic psychometric standards, such as unidimensionality. The act-frequency format of the SRA likely undermines its ability to isolate any one motive for behaving prosocially. In a pilot study (N = 276), factor analysis indicated that the SRA contains dimensions related to the performance of favors (Factor 1), charitable giving (Factor 2), and politeness among strangers (Factor 3). Factor 2 predicted laboratory charitable giving, possibly due to having items related to charity. The present study (N = 814) replicated the three-factor structure of the SRA, with the majority of items loading on Factor 1. Factor 1 was negatively associated with criterion measures of altruism, and was the only factor that positively correlated with antisocial motives and number of sex partners. Factors 2 and 3, as well as other self-report measures of altruism, generally had the exact opposite correlates of Factor 1. Overall, treating the SRA as unidimensional has obscured trait altruism’s relationships to other constructs.
Coping Strategies of Adolescents in Orphanages

Adolescents who are orphaned are more prone to crises as a result of their loved ones’ lack of support. There are 13 orphanages in Cimahi City. The objective of this study was to investigate coping mechanisms among orphaned teenagers living in Cimahi City’s LKSA Insan Kamil Mandiri. The significance of this research stems from the obligation of nurses to assist, educate, and offer health-related information to orphaned adolescents to ensure their wellbeing. Qualitative methods were employed, utilizing a phenomenological approach and the Colaizzi method for data analysis. This model focused on the significance of coping methods for orphaned teenagers in conjunction with community-level phenomena to explain changes in the activity patterns and psychosocial experiences of adolescents living in orphanages. Six themes emerged from the research, namely: 1) adolescents’ reasons for living in orphanages; 2) positive responses to living in orphanages; 3) adolescents’ problems in orphanages; 4) coping strategies of adolescents living in orphanages; 5) support received by teenagers living in orphanages; and 6) youth hopes for the future. According to the study’s findings, orphanages often provide pleasant activities that foster community among the institution’s inhabitants. Keywords: adolescents, coping strategy, orphans
The Tensor Renormalization Group

We review the tensor renormalization group (TRG), a real space renormalization technique for coarse-graining 2D classical lattice models. We outline the method briefly in the context of a honeycomb lattice and then show explicitly how tensor renormalization proceeds on a square lattice. An implementation of the TRG on a square lattice Ising model is given in Python, and a comparison between the exact and TRG-obtained free energies of the model is made. Finally, we discuss the limitations of the TRG and an extension of the method that has been introduced to address these limitations.
Title A new weight vector for a tighter Levenshtein bound onaperiodic correlation

The Levenshtein bound on aperiodic correlation, which is a function of the weight vector, is tighter than the Welch bound for sequence sets over the complex roots of unity when M ≥ 4 and n ≥ 2, where M denotes the set size and n the sequence length. Although it is known that the tightest Levenshtein bound is equal to the Welch bound for M ∈ {1, 2}, it is unknown whether the Levenshtein bound can be tightened for M = 3, and Levenshtein, in his 1999 paper, postulated that the answer may be negative. A new weight vector is proposed in this paper which leads to a tighter Levenshtein bound for M = 3, n ≥ 3 and M ≥ 4, n ≥ 2. In addition, the explicit form of the weight vector (which is derived by relating the quadratic minimization to the Chebyshev polynomials of the second kind) in Levenshtein’s paper is given. Interestingly, this weight vector also yields a tighter Levenshtein bound for M = 3, n ≥ 3 and M ≥ 4, n ≥ √ M , a fact not noticed by Levenshtein.