Miracle-dz/UniFAR-FTUs huggingface dataset:
Refractivity and coordination number changes of the Ti4+ ion in glass

The refractivity data of several glasses in ternary TiO 2 silicate systems are examined, principally those of the Na 2 O-TiO 2 -SiO 2 system. An expression is derived containing only the electronic polarisability and polarising power of the Ti 4+ ion, and trends are examined in this expression versus the Na 2 O/SiO 2 and Na 2 O/TiO 2 ratios (at constant TiO 2 and SiO 2 contents) enabling correlations to be made with changes in coordination number of Ti 4+ . In the light of previous reports, the analysis supports the idea that there is a change from fivefold to fourfold rather than to sixfold coordination with decreasing Na 2 O/TiO 2 ratio. Using the previously assigned value of 1·4 for the basicity moderating parameter of Ti 4+ , the polarisability is calculated as 1·6 A 3 , which is much larger than that previously assigned.
A Fluorous Phosphate for the Effective Extraction of LnIII from Nitrate Media: Comparison with A Conventional Organic Phosphate

ABSTRACT We compare the extraction and separation performance of a newly developed fluorous extractant, tris(4,4,5,5,6,6,7,7,7-nonafluoroheptyl) phosphate (TFP) in a fluorinated diluent perfluorohexane, for trivalent lanthanide ions (LnIII) with a conventional organic extractant, tri-n-butyl phosphate (TBP) in n-octane. Interestingly, the fluorinated extractant TFP exhibits a superior extraction performance for LnIII than the organic extractant TBP, despite the tendency of hydrocarbon fluorination to reduce the extraction performance. Furthermore, the high separation factors among LnIII by TFP suggest that the separation performance of TFP is superior to that of TBP. We proved the superior extraction and separation performance of TFP by comparing the coordination environment of the extracted TFP and TBP complexes, the fluorous phase, and the organic phase. From a microscopic perspective, luminescence lifetime measurements and extended X-ray absorption fine structure spectroscopy revealed the near coordination environment of EuIII in the extracted complex of the extracting phase. Hydrating water scarcely exists in the EuIII-TFP complex, while the EuIII-TBP complex has at least one hydrating water molecule. On the other hand, from a macroscopic perspective, water and nitrate anion transport into the extracting phase during EuIII extraction are revealing. The large amounts of water and NO3 − anions in the organic phase compared to those in the fluorous phase suggest that the extraction of water and NO3 − anions somehow impairs the extraction of EuIII into the organic phase. Hence, TFP in a fluorinated diluent can be used as an alternative extraction and separation system for LnIII.
Single bit line accessed high‐performance ultra‐low voltage operating 7T static random access memory cell with improved read stability

Static random access memory (SRAM) bit cell is a prominent element for portable devices. The popularity of sleek designs and demand for longer battery life has driven memory cell into nanometer domain. This has also bolstered the need for low‐voltage devices. But reduction in operational voltage for cell is limited by process variation. In this work, a single bit line seven‐transistor (7T) SRAM bit cell is reported. The cell is designed for 32‐nm technology node and is functional at 300 mV. The reported cell maintains a 90‐mV hold and read static noise margins (SNMs), while the write margin is 190 mV. The pulse width needed to successfully write into the cell is 30 ns. The performance of proposed 7T cell is compared against different 6T, 7T, 8T, and 10T SRAM bit cells. The hold and read SNMs for proposed 7T are found to be 58.8%, better than single‐ended 6T cell, while the write ability is improved by 71.4%. The leakage current is observed to have decreased by a factor of 14 for Q = 0 (Q being the data storage node) and by factor of 28 for Q = 1, compared to 6T cell. Also, the area footprint of the proposed 7T SRAM cell is 0.442 μm2.
A Study on Employees’ Satisfaction and Perception towards Work from Home During COVID-19

Job satisfaction of employee is one of the most important factors when it comes to organization growth. The research on topic “Jobs satisfaction” is being conducted by several researchers and the factors that influence the job satisfaction is researched and reviewed over varied dimensions. One of the recent and contemporary approach is to explore the impact of work from home option (during this COVID-19 pandemic situation) on the job satisfaction of the employees. Due to COVID-19 whole world has already seen unexpected shift of the work place and work force from offices to home in almost all sectors. This also raised many questions around, whether the factors which were influencing the Job satisfaction factors earlier at workplace will hold good for Work from Home (WFH) facility. Main purpose of this study is to find out different influencing factor for employees to get satisfied while working from home. The present study has adopted the descriptive research design to make an analysis of those factors which effects employee’s satisfaction specifically while they are in the work from home option mode. The selected area for the study is Pune City. Both primary and secondary data is used for the study. Questionnaire will be framed for the collection of primary data. The Sampling Size for the study is 120 respondents who are working professionals selected using convenient sampling procedure across the business sectors. Appropriate statistical tools and techniques will be used for data analysis. The result of the study shows that the majority of employee were dissatisfied when they are working from home during the pandemic. There are certain critical factors like constant work pressure, prolonged working hours, very few options for interaction with the colleagues and peers, doing repetitive jobs without any break, and pressure from the domestic end in terms of family expectations and family commitments are causing utmost dissatisfaction when the employees are made to work fromhome.
Predicting protein secondary structure based on ensemble Neural Network

Protein structure prediction is very vital to innovative process of discovering new medications based on the knowledge of a biological target. It is also useful for scientifically exposing the biological basis of convoluted diseases and drug effects. Despite its usefulness, protein structure is very complex, thereby making its prediction to be arduous, timewasting and costly. These drawbacks necessitated the need to develop more effective techniques with high prediction capability. Conventional techniques for predicting protein structure are ineffective, perform poorly, expensive and slow. The reasons for these are due to the vague dissimilar sequences among protein structures, meaningless protein data, high dimensional data, and having to deal with highly imbalanced classification task. We proposed an Ensemble Neural Network learning model that consists of some Neural Network algorithms such as Feed Forward Neural Network (FFNN), Recurrent Neural Network (RNN), Cascade Forward Network (CFN) and Non-linear Autoregressive Network with Exogenous (NARX) models. These models were trained using training algorithms such as Levenberg-Marquardt (LM), Resilient Back Propagation (RBP) and Scaled Conjugate Gradient (SCG) to improve the performance. Experimental results show that our proposed model has superior performance compared to the other models compared.
A human mutation in STAT3 promotes type 1 diabetes through a defect in CD8+ T cell tolerance

Human STAT3 gain-of-function (GOF) mutations are linked to type 1 diabetes (T1D). This study establishes a STAT3-GOF mouse model that recapitulates the human T1D phenotype. STAT3-GOF drives cytotoxic CD8+ T cells that are resistant to terminal exhaustion, epigenetically distinct, and sufficient to accelerate T1D development.
Religiusity Effect on Retirees Customer Decisions in the Take over From Conventional Banks to Islamic Banks: Study at Gorontalo City - Indonesia

The phenomenon of taking over financing from conventional banks to Islamic banks carried out by retired customers in Gorontalo City is so large and the majority of the population is Muslim or a religious community making this issue important to research with the aim of knowing and examining the effect of religiosity on retirees customer decisions in taking over from conventional banks to Islamic banks in Gorontalo City. This type of research is a quantitative study with a sample size of 199. Questionnaires were distributed to respondents using multi-stage sampling techniques (proportional and accidental sampling). The results of this study indicate that religiosity has a positive and significant effect on retired customers' decisions to take over from conventional banks (BRI, BTPN, Bank Sulut, Bank Mandiri Taspen) to Islamic banks (Bank Syariah Mandiri [BSM]) in Gorontalo City. For this reason, it is recommended that Islamic financial institutions take advantage of the tendency of customers to switch to Islamic Banks by increasing public understanding through promotion of the importance of financing as a usury-free product, services remaining competitive with conventional financial institutions, and improving human resource quality.
The effect of gastrointestinal patients’ health literacy levels on gastrointestinal patients’ health outcomes

Health literacy is defined as “the degree to which an individual has the capacity to obtain, communicate, process, and understand basic health information and services needed to make appropriate decisions for the betterment of his or her health” (1). At least half of American adults may not understand the complex medical communications used in the delivery of care, leading to negative consequences on care quality, disparities, and costs (2). Inadequate health literacy levels have been associated with numerous health issues such as worse overall health (3), increased rate of obesity (4), and increased use of Original Article
Detection of Influential Nodes in Network Dynamical Systems From Time Series

Identifying influential nodes in network dynamical systems requires the manipulation of topological and dynamic characteristics within ideal experiments. However, seldom we have access to experimental settings that could afford targeted interventions or to calibrated mathematical models that could support faithful what/if analyses. Our knowledge of the network dynamical system is often limited to the time series of individual nodes in some real experiments. Using these time series, it is possible to undertake a number of inference tasks, from reconstructing the topology of the network to discovering hidden nodes. Whether time series of real experiments could help pinpoint causal influence within the network is an open question. Here, we address this question in the context of synchronization problems, where the influence of a node is defined as the extent to which adding noise at that particular node affects the overall synchronization of the entire network. For linear time-invariant dynamics and undirected topologies, we demonstrate the possibility of exactly detecting the most influential nodes in the network without a calibrated mathematical model, using only time series of a real experiment, where all nodes are plagued by noise. Beyond illustrating our results on classical and second-order consensus protocols, we consider two real-world datasets: 1) 1) firearm prevalence in the USA and 2) players’ movements in a soccer game. Just as our conclusions support the emergence of influential states, which have a less stringent legal environment, they hint at the instrumental role of players, who are critical to the offense strategy of the team.
Determinants of Islamic banking products and services adoption in Morocco: a conceptual framework

Purpose The Moroccan monetary authorities have implemented an Islamic banking system since 2017 as an alternative to the conventional system. However, the adoption of Islamic banking products and services is not widely accepted by customers. The purpose of this study is to propose a conceptual framework to understand the determinants of Islamic banking products and services adoption in Morocco. Design/methodology/approach This study develops a conceptual framework based on the diffusion of innovation theory (DOI). Thus, with reference to an extensive literature review done regarding adoption studies, the proposed research model integrates perceived attributes of innovation (relative advantage, compatibility, complexity and observability) suggested by the DOI theory. It also integrates other relevant variables that should be considered in the context of this study. These include knowledge, perceived risk and customer involvement. Findings The proposed conceptual framework demonstrates and justifies the relevance and the applicability of Rogers’ DOI to understand consumer decisions to adopt an innovation in general as well as Islamic banks in particular. Originality/value Several studies have examined the factors influencing the adoption of Islamic banks; however, those carried out in the Moroccan context remain very limited. The majority of these studies examine the intention to adopt in the future, whereas the present study seeks to establish a conceptual research model that examines the determinants of current adoption of Islamic banking in Morocco and the continuity of this adoption over time. The novelty of this study is to develop a modified model based on DOI theory which, according to the existing literature, has not yet been tested in the Moroccan context.
Effective removal of Cu2+ ions from polluted water using new bio-adsorbents

Sorbents derived from stem powders of Feronia limonia (FLSP), Amorphophallus paeoniifolius (APSP) and Pumpkin (Cucurbitapepo) (PSP) plants are investigated for the removal of Cu2þ ions from polluted water by adopting batch methods of extraction. Extraction conditions are optimized for the effective removal of Cu2þ ions. High sorption capacities are observed: 175.5 mg/g for FLSP; 140.4 mg/g for APSP; 130.0 mg/g for PSP. Effective pH ranges are: 5 to 10 for FLSP; 6 to 10 for APSP and 7 to 10 for PSP. The three spent adsorbents can be regenerated and used. Thermodynamic parameters indicate that the adsorption process is spontaneous, endothermic and have positive change in entropy values. As ΔH values are more than 25.0 kJ/mole, the adsorption may be due to surface complex formation between Cu2þ ions and functional groups of the adsorbents viz., -OH, -COOH etc. in the effective pH ranges. The good adsorption behaviour of FLSP even in acidic pHs may be due to the ion-exchange of Cu2þ ions for Hþ ions of the functional groups of the adsorbent. The Langmuir adsorption isotherm and pseudo second-order model describe well the adsorption process. The sorbents are effectively applied to treat effluents from Cu-based industries and polluted lake water.
The Black Travel Movement: A Catalyst for Social Change

In response to the underrepresentation of Black people in the travel sphere, Black travelers have created their presence in the market – authentically representing and providing opportunities for Black travelers. This group of Black travelers has taken on the collective name of the Black Travel Movement (BTM). Informed by social movement and critical race theory, nine interviews were conducted to better understand what influences BTM leaders in their quest for social change. Three emergent themes resulted: Catalysts Lead to Self-Efficacy, Awareness Leads to Consciousness Raising, and Community Activation Leads to Resource Mobilization. As evident from our interviews with BTM leaders, discrimination, bias, racism, and inequities are ubiquitous and continue to create inhospitable and toxic touristic experiences and landscapes for Black and people of color. However, results reveal a cyclical model that highlights hope through activism and community mobilization.
Isotope Effect of the Stereodynamics for the Reactions N(4S)+HD→NH+D and N(4S)+HD→ND+H

Quasi-classical trajectory calculations have been employed to investigate the influence of isotope effect on the stereodynamics of the title reactions N(4S)+HD→NH+D and N(4S)+HD→ND+H on the 4A" double many-body expansion (DMBE) potential energy surface (PES) newly constructed by L. A. Poveda et al. [Phys. Chem. Chem. Phys. 7 (2005) 2867]. The generalized polarization-dependent differential cross sections (PDDCSs) and the three angular distributions of P(θr), P(φr) and P(θr,φr) are presented and discussed. It is revealed isotope effect exert a substantial influence on the product polarizations.
Deep Learning Seismic Random Noise Attenuation via Improved Residual Convolutional Neural Network

Because a high signal-to-noise ratio (SNR) is beneficial to the subsequent processing procedures, the noise attenuation is important. We propose an adaptive random noise attenuation framework based on convolutional neural networks (CNNs). The framework transforms the target function from effective signal learning to noise learning through residual learning, so as to improve the training efficiency. After sufficient training, the network transfers the learned seismic data features using a large synthetic data set to the testing of complex field data with unknown noise levels and, thus, attenuates the noise in an unsupervised way. Unsupervised noise reduction requires certain representativeness of the training data and a sufficient amount of training data sets. In the network architecture, we introduce residual learning and batch normalization (BN) to reduce the training parameters of the network, thereby shortening the time for feature learning. The activation function with leakage correction function can effectively retain negative information, and its combination with the double convolutional residual block can enhance the generalization ability and feature extraction performance of the network. In the test of synthetic data and complex field data with unknown noise levels, by comparing the noise reduction results of some classic denoising algorithms, the adaptive CNN proposed in this article can more effectively attenuate the noise and reconstruct the seismic waveform.
Cyclic Bent Functions and Their Applications in Sequences

Let <italic>m</italic> be an even positive integer. A Boolean bent function <italic>f</italic> on <inline-formula> <tex-math notation="LaTeX">${\mathbb F}_{ 2^{\text {m}-1}} \times {\mathbb F}_{ 2^{}}$ </tex-math></inline-formula> is called a <italic>cyclic bent function</italic> if for any <inline-formula> <tex-math notation="LaTeX">$\text {a}\neq \text {b}\in {\mathbb F}_{ 2^{\text {m}-1}}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$\epsilon \in {\mathbb F}_{ 2^{}}$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$\text {f}({\it\text { ax}}_{1},\text {x}_{2})+\text {f}({\it\text { bx}}_{1},\text {x}_{2}+\epsilon)$ </tex-math></inline-formula> is always bent, where <inline-formula> <tex-math notation="LaTeX">$\text {x}_{1}\in {\mathbb F}_{ 2^{\text {m}-1}}, \text {x}_{2} \in {\mathbb F}_{ 2^{}}$ </tex-math></inline-formula>. Cyclic bent functions look extremely rare. This paper focuses on cyclic bent functions on <inline-formula> <tex-math notation="LaTeX">${\mathbb F}_{ 2^{\text {m}-1}} \times {\mathbb F}_{ 2^{}}$ </tex-math></inline-formula> and their applications. The first objective of this paper is to establish a link between quadratic cyclic bent functions and a special type of prequasifields, and construct a class of quadratic cyclic bent functions from the Kantor-Williams prequasifields. The second objective is to use cyclic bent functions to construct families of optimal sequences. The results of this paper show that cyclic bent functions have nice applications in several fields such as coding theory, symmetric cryptography, and CDMA communication.
Looking for consistency in an uncertain world: test-retest reliability of neurophysiological and behavioral readouts in autism

Background Autism spectrum disorders (ASD) are associated with altered sensory processing and perception. Scalp recordings of electrical brain activity time-locked to sensory events (event-related potentials; ERPs) provide precise information on the time-course of related altered neural activity, and can be used to model the cortical loci of the underlying neural networks. Establishing the test-retest reliability of these sensory brain responses in ASD is critical to their use as biomarkers of neural dysfunction in this population. Methods EEG and behavioral data were acquired from 33 children diagnosed with ASD aged 6–9.4 years old, while they performed a child-friendly task at two different time-points, separated by an average of 5.2 months. In two blocked conditions, participants responded to the occurrence of an auditory target that was either preceded or not by repeating visual stimuli. Intraclass correlation coefficients (ICCs) were used to assess test-retest reliability of measures of sensory (auditory and visual) ERPs and performance, for the two experimental conditions. To assess the degree of reliability of the variability of responses within individuals, this analysis was performed on the variance of the measurements, in addition to their means. This yielded a total of 24 measures for which ICCs were calculated. Results The data yielded significant good ICC values for 10 of the 24 measurements. These spanned across behavioral and ERPs data, experimental conditions, and mean as well as variance measures. Measures of the visual evoked responses accounted for a disproportionately large number of the significant ICCs; follow-up analyses suggested that the contribution of a greater number of trials to the visual compared to the auditory ERP partially accounted for this. Conclusions This analysis reveals that sensory ERPs and related behavior can be highly reliable across multiple measurement time-points in ASD. The data further suggest that the inter-trial and inter-participant variability reported in the ASD literature likely represents replicable individual participant neural processing differences. The stability of these neuronal readouts supports their use as biomarkers in clinical and translational studies on ASD. Given the minimum interval between test/retest sessions across our cohort, we also conclude that for the tested age-range of ~ 6 to 9.4 years, these reliability measures are valid for at least a 3-month interval. Limitations related to EEG task demands and study length in the context of a clinical trial are considered.
Assessment as Pedagogy in a Compressed-Format Summer Physics Abroad Program

This paper examines the impact of assessment and instructional practices in a compressedformat physics abroad program for life science students from a large U.S. university system. Using qualitative case study methodology, the study investigated the major pedagogical functions of assessments and their implications on student learning across three international sites. Findings from interviews, focus groups, and survey responses of international physics instructors indicated that instructors accommodated the unique program format and student cohort by fostering a highly supportive and collaborative environment for frequent formative assessments, feedback, and intervention. These pedagogical developments provide students the opportunity to learn physics intensively and gain disciplinary, metacognitive, and intercultural understanding.