Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship between Walkability and Place Attachment and the Mediating Role of Neighborhood-Based Social Interaction

This study aims to provide insights in the relation between neighborhood walkability and place attachment and the mediating role of (satisfaction with) social interaction. Both objective and perceived walkability are tested. To analyze these relations, two structural equation models are estimated on data collected among 251 residents of different neighborhoods across the Netherlands. The results show that perceived neighborhood walkability is a stronger predictor of place attachment than objective walkability. Perceived walkability has both a positive direct effect on place attachment and an indirect effect, via neighborhood-based social interaction. Objective walkability only has a positive direct effect on place attachment.
Adsorption of Mercury on Oxidized Graphenes

Graphene oxide (GO) and its reduced form, reduced graphene oxide (rGO), are among the most predominant graphene derivatives because their unique properties make them efficient adsorbent nanomaterials for water treatment. Although extra-functionalized GO and rGO are customarily employed for the removal of pollutants from aqueous solutions, the adsorption of heavy metals on non-extra-functionalized oxidized graphenes has not been thoroughly studied. Herein, the adsorption of mercury(II) (Hg(II)) on eco-friendly-prepared oxidized graphenes is reported. The work covers the preparation of GO and rGO as well as their characterization. In a further stage, the description of the adsorption mechanism is developed in terms of the kinetics, the associated isotherms, and the thermodynamics of the process. The interaction between Hg(II) and different positions of the oxidized graphene surface is explored by DFT calculations. The study outcomes particularly demonstrate that pristine rGO has better adsorbent properties compared to pristine GO and even other extra-functionalized ones.
Design of Multisensor Mobile Robot Vision Based on the RBPF-SLAM Algorithm

The existing algorithms are mainly based on the laser or visual inertial odometer, which has problems such as large particle recommendation distribution error, particle consumption, and long running time of the algorithm. An SLAM scheme based on multisensor fusion is proposed, which integrates multisource sensor data including lidar, camera, and IMU and constructs a set of real-time mapping and positioning system with better robustness and higher accuracy. The experimental results show that the proposed SLAM method uses less running time, and the accuracy of map construction is better.
CROSS SECTIONS OF VARIOUS MATERIALS IN THE GODIVA AND JEZEBEL CRITICAL ASSEMBLIES

Neutron activation (n, gamma ) cross sections of various isotopes were determined in the Los Alamos Godiva and Jezebel assemblies by a comparison activation method. Where these values represent total capture, they may be used in conjunction with effective absorption cross sections ( sigma /sub a/) from reactivity contribution measurements to obtain the effect of energy degradation of the neutrons by inelastic scattering. (auth)
Cross-Cultural Adaptation and Validation of the Functional, Communicative and Critical Health Literacy Instrument (FCCHL-SR) for Diabetic Patients in Serbia

Thoroughly validated instruments can provide a more accurate and reliable picture of how the instrument works and of the level of health literacy in people with type 2 diabetes mellitus (T2DM). The present work aimed at cross-cultural adaptation and validation of the Functional, Communicative and Critical Health Literacy Instrument (FCCHL) in patients with T2DM in Serbia. After translation and back-translation, views from an expert group, one cognitive interview study (n = 10) and one survey study (n = 130) were conducted among samples of diabetic patients. Item analysis, internal consistency, content validity, confirmatory factor analysis (CFA) and reliability testing were performed. When all 14 items were analyzed, loading factors were above 0.55, but without adequate model fit. After removing two items with the lowest loadings FHL1 and IHL2 the fit indexes indicated a reasonable normed χ2 (SB scaled χ2/df = 1.90). CFI was 0.916 with SRMR = 0.0676 and RMSEA = 0.0831. To determine internal consistency, Cronbach’s alpha coefficient was 0.796 for the whole FCCHL-SR12. With only minor modifications compared to the English version, the 12-item FCCHL instrument is valid and reliable and can be used to measure health literacy among Serbian diabetic patients. However, future research on a larger population in Serbia is necessary for measuring the levels of HL and their relationship with other determinants in this country.
EFFECT OF IMPLEMENTING EARLY PALLIATIVE CARE ON HEPATOCELLULAR CARCINOMA PATIENTS' OUTCOMES

Background: Hepatocellular carcinoma is the world's fifth most common cancer and the second biggest cause of cancer-related death. HCC patients encounter a wide range of symptoms that are severe enough to affect their quality of life. Nurses must develop collaborative, multidisciplinary symptom treatment strategies. Aim: Evaluate the effect of implementing early palliative care on hepatocellular carcinoma patients’ outcomes. Subjects and method: design: Quasi-experimental design was utilized. Subjects: proposed Sample of 114 adult patients aged 20 - 60 years old of both sexes who diagnosed of hepatocellular carcinoma. The research was carried out in both inpatient and outpatient clinics for patients follow up at Mahalla Hepatology Educational Hospital affiliated to Ministry of Health. Tools : Four tools were used for the collection of the necessary data and achieving the aim of the study as follows; Interview questionnaire sheet, FACT-Hep Version4, ESAS, CES-Dep. Results: Revealed that there was significant improving effect regarding total score of FACT-Hep, ESAS, and CES-Dep two weeks post implementation of early palliative care and in follow up. Conclusion: The study concluded that the early palliative care improves the quality of life, relieves pain and other symptoms either from the disease or from the treatment and improves mood in patients with hepatocellular carcinoma. Recommendations: Early palliative care should be initiated early once the patient diagnosed in order to be integrated with medical treatment. This research has provided a starting point for further studies regarding health services research in palliative care.
A Thermo-Mechanically Robust Compliant Electrode Based on Surface Modification of Twisted and Coiled Nylon-6 Fiber for Artificial Muscle with Highly Durable Contractile Stroke

In this paper, we propose a novel and facile methodology to chemically construct a thin and highly compliant metallic electrode onto a twisted and coiled nylon-6 fiber (TCN) with a three-dimensional structure via surface modification of the TCN eliciting gold-sulfur (Au-S) interaction for enabling durable electro-thermally-induced actuation performance of a TCN actuator (TCNA). The surface of the TCN exposed to UV/Ozone plasma was modified to (3-mercaptopropyl)trimethoxysilane (MPTMS) molecules with thiol groups through a hydrolysis-condensation reaction. Thanks to the surface modification inducing strong interaction between gold and sulfur as a formation of covalent bonds, the Au electrode on the MPTMS-TCN exhibited excellent mechanical robustness against adhesion test, simultaneously could allow overall surface of the TCN to be evenly heated without any significant physical damages during repetitive electro-thermal heating tests. Unlike the TCNAs with physically coated metallic electrode, the TCNA with the Au electrode established on the MPTMS-TCN could produce a large and repeatable contractile strain over 12% as lifting a load of 100 g even during 2000 cyclic actuations. Demonstration of the durable electrode for the TCNA can lead to technical advances in artificial muscles for human-assistive devices as well as soft robots those requires long-term stability in operation.
A Hierarchical Self-Interference Canceller for Full-Duplex LPWAN Applications Achieving 52–70-dB RF Cancellation

We present a radio frequency self-interference (SI) canceller chip for low-power wide area network (LPWAN) basestations. To enhance the cancellation capability without necessitating unreasonable resolution, power consumption, and area, we introduce a hierarchical cancellation technique using a nested vector modulator (VM) implementation. Nesting a 7-b and two 6-b stages, a 16-b theoretical and >13-b measured resolution is obtained per tap. LPWAN channels have large group delay and group delay spread in tens of ns, and a requirement for >100 dB of analog SI cancellation. To enable large ON-chip group delay, we leverage frequency translation circuits, and in comparison to prior art, decouple impedance matching requirement from tap delay implementation to realize range/resolution from 16 ns/33 ps to 80 ns/150 ps. We demonstrate 64 dB of RF SI cancellation over 0.8-MHz bandwidth (BW) with a three-tap implementation for an LPWAN wireless channel. For more controlled environments, up to 70-dB cancellation is shown. Each tap occupies 0.21 mm2 of area and consumes 12.3 mA of current with a 1.2-V supply voltage. The whole chip occupies 1.2 mm2 and consumes 44.28 mW of power in a 65-nm CMOS process.
The Role of Optical Imaging in Translational Nanomedicine

Nanomedicines have been a major research focus in the past two decades and are increasingly emerging in a broad range of clinical applications. However, a proper understanding of their biodistribution is required to further progress the field of nanomedicine. For this, imaging methods to monitor the delivery and therapeutic efficacy of nanoparticles are urgently needed. At present, optical imaging is the most common method used to study the biodistribution of nanomaterials, where the unique properties of nanomaterials and advances in optical imaging can jointly result in novel methods for optimal monitoring of nanomaterials in preclinical animal models. This review article aims to give an introduction to nanomedicines and their translational impact to highlight the potential of optical imaging to study the biodistribution of nanoparticles and to monitor the delivery and therapeutic efficacy at the preclinical level. After introducing both domains, the review focuses on different techniques that can be used to overcome some intrinsic limitations of optical imaging and how this can specifically benefit nanoparticle studies. Finally, we point out some important key features of nanoparticles that currently hinder their full potential in the clinic and how the advances in optical imaging can help to provide us with the information needed to further boost the clinical translation and expand the field of nanomedicines.
Basis Set Extrapolation for the High Resolution Spectroscopy

Valence and all electron correlation energies of a large set of atoms and molecules with structural motifs from amino acids and peptides at their equilibrium as well as non-equilibrium geometries are calculated at the levels of MP2, RI-MP2, and CCSD (T) with Dunnings sequential correlation consistent basis sets. A two point basis set extrapolation scheme for correlation energies to the complete basis set limit based on only DZ (double-zeta) and TZ (triple-zeta) results is presented and analyzed. We show that this basis set extrapolation scheme reduces the computational cost by two to three orders of magnitude to obtain the same accuracy as simpler extrapolations from higher order basis set computations.
Exploring Islamic Boarding School Students’ Attitudes in English Conversation Habit

The narrative inquiry research was conducted to explore islamic boarding school students’ attitudes in using English conversation habits and to find out the opportunities and challenges that they faced when learning English using it during boarding school. The data were collected from four islamic boarding school students’ of a state boarding school in Karawang, Indonesia through semistructured interviews and questionnaires. Thematic analysis was used in analyzing the data. The results revealed that islamic boarding school felt very interested, happy, and are motivated to use English conversation habits since English conversation habits is considered quite effective and flexible in terms of time and place, especially in terms of increasing students creativity and productivity, helping students practice English, and providing learning experiences using a new learning system. However, islamic boarding school students’ also felt challenged and worried to face several obstacles that’s occurred such as lack of student participation, pronunciation is difficult, and some students even feel insecure. Therefore, Islamic boarding school students are still interested in carrying out classroom learning with English conversation habits in the future. In conclusion, the majority of Islamic boarding school students' had a positive attitude towards the use of English conversation habits since it was considered one of the best learning program that students can use while teaching English during boarding school.
Query Indexing and Cluster-based Indexing Model for the Document Retrieval

: In the research community field, query optimization plays an important role to retrieve the important and the appropriate documents on the basis of query indexing. In the documents, using the query retrieval process the information is retrieved on the basis of the distance measured. Although several methods are present in the query processing scheme as well as indexing, extracting the matched as well as appropriate documents still outcomes in numerous confronts in the research community. Hence, to retrieve the appropriate documents competently an effective cluster-based inverted indexing model is adopted. By exploiting stop word removal and stemming approaches, unnecessary and redundant words are removed. By cluster-based inverted indexing approach, document indexing is carried out that is the integration of Possibilistic fuzzy c-means (PFCM) clustering approach to index the documents. For user queries, such as multigram queries or semantic queries, on basis of Bhattacharyya distance to generate an enhanced query outcome, query matching is processed. By exploiting the Pearson correlation coefficient, the query optimization is carried out and the appropriate documents are retrieved efficiently. The achievement of a developed cluster-based indexing approach is carried out in this paper. The developed cluster-based indexing approach performance is calculated by exploiting measures, namely precision, recall, as well as F-measure.
Effect of Electron Beam Properties on a Second Harmonic Gyrotron

In harmonic gyrotrons, the narrow operating region of the harmonic mode is significantly restricted by the severe mode competition from the fundamental parasitic modes, which makes it important to study the nonlinear effects of beam-wave interaction in the case of a nonideal electron beam. In this article, the effect of the electron velocity spread and the beam radius spread on the mode excitation, interaction efficiency as well as mode competition are analyzed for the desired harmonic mode and the parasitic fundamental mode operating far from the cut-off frequency. The effect of velocity spread is interpreted via the electron cyclotron resonance condition as well as the electron beam susceptibility with respect to the resonator field. The results show that the velocity spread can greatly broaden the effective operating region of the harmonic mode and the efficiency degradation can be contained at a reasonable level by proper design consideration of the interaction circuit. Whereas, the beam radius spread is the main factor that accounts for the efficiency degradation and can aggregate the mode competition. The results are referential to the design and analysis of harmonic gyrotrons as well as continuously frequency tunable gyrotrons.
MoCA in five Indian languages: A brief screening tool to diagnose dementia and MCI in a linguistically diverse setting

Early dementia diagnosis in low and middle‐income countries (LMIC) is challenging due to limited availability of brief, culturally appropriate, and psychometrically validated tests. Montreal Cognitive Assessment (MoCA) is one of the most widely used cognitive screening tests in primary and secondary care globally. In the current study, we adapted and validated MoCA in five Indian languages (Hindi, Bengali, Telugu, Kannada, and Malayalam) and determined the optimal cut‐off points that correspond to screening for clinical diagnosis of dementia and MCI.
Non-Invasive Iontophoretic Delivery of Cytochrome c to the Posterior Segment and Determination of Its Ocular Biodistribution

The intact porcine eye globe model was used to demonstrate that transscleral iontophoresis could deliver a small protein, cytochrome c (Cyt c), to the posterior segment and to investigate post-iontophoretic biodistribution in the different ocular compartments. The effects of Cyt c concentration (1, 5, and 10 mg/mL), current density (3.5 and 5.5 mA/cm2), and duration of the current application (10 min and 1, 2, and 4 h) were evaluated. The data confirmed that transscleral iontophoresis enhanced the intraocular delivery of Cyt c under all conditions as compared to passive controls (same setup but without the current application). Increasing the Cyt c concentration resulted in a proportional enhancement in the Cyt c delivery. Increasing the current density from 3.5 to 5.5 mA/cm2 increased iontophoretic delivery at a Cyt c concentration of 10 mg/mL but did not appear to do so at 5 mg/mL; this was attributed in part to the effect of melanin binding. Short duration iontophoresis (10 min, 3.5 mA/cm2) of a 10 mg/mL Cyt c solution created a depot in the sclera. When this was followed by a 4 h incubation period, post-iontophoretic Cyt c diffusion from the sclera resulted in a different biodistribution, and Cyt c could be quantified in the posterior segment.
Convergence to Nash equilibria in distributed and selfish reallocation processes

We introduce several congestion games and study the speed of convergence to Nash Equilibria under reasonable reallocation protocols. We focus on a particular atomic congestion game, distributed selfish load balancing, in which a set of resources are to be allocated to tasks with selfish agents willing to minimize their own latency. We revisit and improve the previous results for the uniform case where tasks share identical resources, and the latency function of a resource is the number of tasks utilizing it. Moreover we introduce two variations of this setting. In the first variation we consider the case where tasks have different weights and the latency of each resource is the total weights of the tasks utilizing it. Another variation is the case where tasks are identical, but resources have arbitrary latency functions. We give upper bounds for the convergence time of these models, and some examples to justify our protocols.
Arc statistics with realistic cluster potentials

We construct a sample of numerical models for clusters of galaxies and employ these to investigate their capability of imaging background sources into long arcs. The clusters are simulated within the CDM cosmogonic scheme in an Einstein‐de Sitter universe. Emphasis is laid on the statistics of the arcs formed, and optical depths for arc formation are determined. We also compare the results to predictions based on simplified, radially symmetric cluster models. We find that the capability of the numerically modeled clusters to produce long arcs is increased by a factor of ≲50 compared to a sample of softened isothermal spheres with the same observable parameters (core radii and velocity dispersions), and that they are comparably efficient as singular isothermal spheres with the same velocity dispersion. This largely enhanced capability to produce large arcs of the numerical cluster models can be understood in terms of substructure and intrinsic asymmetry, which enhance the tidal field (shear) of the cluster.
Effects of Lycium barbarum L. Polysaccharides on Vascular Retinopathy: An Insight Review

Vascular retinopathy is a pathological change in the retina caused by ocular or systemic vascular diseases that can lead to blurred vision and the risk of blindness. Lycium barbarum polysaccharides (LBPs) are extracted from the fruit of traditional Chinese medicine, L. barbarum. They have strong biological activities, including immune regulation, antioxidation, and neuroprotection, and have been shown to improve vision in numerous studies. At present, there is no systematic literature review of LBPs on vascular retinal prevention and treatment. We review the structural characterization and extraction methods of LBPs, focus on the mechanism and pharmacokinetics of LBPs in improving vascular retinopathy, and discuss the future clinical application and lack of work. LBPs are involved in the regulation of VEGF, Rho/ROCK, PI3K/Akt/mTOR, Nrf2/HO-1, AGEs/RAGE signaling pathways, which can alleviate the occurrence and development of vascular retinal diseases in an inflammatory response, oxidative stress, apoptosis, autophagy, and neuroprotection. LBPs are mainly absorbed by the small intestine and stomach and excreted through urine and feces. Their low bioavailability in vivo has led to the development of novel dosage forms, including multicompartment delivery systems and scaffolds. Data from the literature confirm the medicinal potential of LBPs as a new direction for the prevention and complementary treatment of vascular retinopathy.
The Effect of Virtual Classes on Promoting Saudi EFL Students' Autonomous Learning

The current study aims to explore the effect of virtual classes on promoting autonomous learning of Saudi EFL students in the PYP Year Program (PYP). Data were collected through an online questionnaire and semi-structured interviews. Two hundred eighty female undergraduate Saudi students in the PYP completed the questionnaire voluntarily. Fifteen English language instructors voluntarily agreed to be interviewed. The result of the study indicated that 64% of students demonstrated a high level of autonomous learning in virtual EFL classes. However, 36% of students showed an average level of autonomous learning in doing assignments, self-motivation, accelerating learning, and willingness to learn. Furthermore, the results show that students' level of autonomy in virtual classes depends on factors such as lack of motivation, constructive feedback, and students' educational culture. Additionally, the study provides some guidelines to help instructors implement autonomous learning in EFL virtual classes. Pedagogical implications and suggestions for further research are provided.
Curriculum Modelling and Learner Simulation as a Tool in Curriculum (Re)Design

Learning analytics (LA) provides tools to analyze historical data with the goal of better understanding how curricular structures and features have impacted student learning. Forward-looking curriculum design, however, frequently involves a degree of uncertainty. Historical data may be unavailable, a contemplated modification to curriculum may be unprecedented, or we may lack data regarding particular learner populations. To address this need, we propose using curriculum modelling and learner simulation (CMLS), which relies on well-established modelling theory and software to represent an existing or contemplated curriculum. The resulting model incorporates relevant research-based principles of learning to individually simulate learners and estimate their learning achievement as they move through the modelled curriculum. Results reflect both features of the curriculum (e.g., time allocated to different learning outcomes), learner profiles, and the natural variability of learners. We describe simulations with two versions of a college-level curriculum, explaining how results from simulations informed curriculum redesign work. We conclude with commentary on generalizing these methods, noting both theoretical and practical benefits of CMLS for curriculum (re)design.