Miracle-dz/UniFAR-FTUs huggingface dataset:
The effect of trust on loyalty with customer satisfaction as a mediation variable (Study on Gojek customers in Bandar Lampung)

Service businesses such as online transportation are businesses based on the principle of trust. Gojek is the first online transportation service provider business in Indonesia. Now it has become the largest online transportation company in Indonesia. Online transportation is growing to the point where many new online transportation service operators increase competition in the online transportation market. Throughout 2022, many problems will occur between online transportation drivers and their customers, creating new anxiety among online transportation customers. It is feared that high competition and online transportation customer anxiety will reduce Gojek's customer loyalty. Customer satisfaction is an important element that can form customer loyalty. This study aims to examine the effect of trust on satisfaction and its effect on customer loyalty. Collecting research data using a questionnaire with a total sample of 150 respondents. Analysis of research data was carried out using SmartPLS version 3 software. The results showed that trust had a positive effect on satisfaction and loyalty, satisfaction had a positive effect on loyalty, and trust had a positive effect on loyalty, with satisfaction as a mediating variable.
Associations between anxiety and functional disability in older adults: a cross-sectional study

Abstract Objective to estimate the prevalence of anxiety in older adults and its association with different levels of functional disability in a small town in the state of Paraiba, Brazil. Method a cross-sectional analytical study was carried out of 233 randomly-selected older users of the Family Health Strategy program. Data were collected using the World Health Organization Disability Assessment Schedule 2.0 and the Geriatric Anxiety Inventory. Results were analyzed using descriptive and bivariate statistics adopting a significance level of p < 0.05. Results Overall, 48.1% of the participants had some degree of selfreported anxiety, with significantly higher levels among women (mean rank = 128.11; p = 0.002). An association was also found between severe anxiety level and severe disability level (p < 0.001). Conclusion the high prevalence of different degrees of geriatric anxiety and its association with severe functional disability indicates the coexistence of psychoemotional and motor alterations. These findings suggest the need to break the chain of underdiagnosis and strengthen the implementation of specialized interventions in the field of gerontology and geriatrics.
A Low-Power Hybrid-Precision Neuromorphic Processor With INT8 Inference and INT16 Online Learning in 40-nm CMOS

In this work, we present a neuromorphic processor for artificial intelligence of things (AIoT) applications featuring low-power consumption, a small footprint, STDP-based online learning, and the ability to adapt to multiple applications. Hybrid precision, i.e., INT8 for inference and INT16 for training, is suggested to achieve balanced accuracy and energy efficiency. A precision-configurable leaky integrate-and-fire(LIF) neuron unit and a unified memory architecture are designed to maximize datapath reuse. A dynamic pruning technique is proposed to exploit the temporal sparsity, yielding synaptic operations reduction by 3.68x in training and 1.63x in inference, respectively. The design is implemented and fabricated in a 40-nm CMOS process, with a core area of 0.87 mm2. It is measured to consume a minimal power of $680~\mu \text{W}$ at 70 MHz under a 0.75 V power supply, corresponding to 9.9 pJ per synaptic operation. Evaluated with typical spatial, temporal, and spatiotemporal datasets (MNIST, MIT-BIH, and N-MNIST), the proposed design achieve energy efficiency comparable to the best-in-class solutions with handcrafted training and customized ASICs, while demonstrating improved versatility across multiple applications with balanced accuracy, power consumption, and model adaptability.
Strain Engineering of Intrinsic Ferromagnetism in 2D van der Waals Materials

Since the discovery of the low-temperature, long-range ferromagnetic order in monolayers Cr2Ge2Te6 and CrI3, many efforts have been made to achieve a room temperature (RT) ferromagnet. The outstanding deformation ability of two-dimensional (2D) materials provides an exciting way to mediate their intrinsic ferromagnetism (FM) with strain engineering. Here, we summarize the recent progress of strain engineering of intrinsic FM in 2D van der Waals materials. First, we introduce how to explain the strain-mediated intrinsic FM on Cr-based and Fe-based 2D van der Waals materials through ab initio Density functional theory (DFT), and how to calculate magnetic anisotropy energy (MAE) and Curie temperature (TC) from the interlayer exchange coupling J. Subsequently, we focus on numerous attempts to apply strain to 2D materials in experiments, including wrinkle-induced strain, flexible substrate bending or stretching, lattice mismatch, electrostatic force and field-cooling. Last, we emphasize that this field is still in early stages, and there are many challenges that need to be overcome. More importantly, strengthening the guideline of strain-mediated FM in 2D van der Waals materials will promote the development of spintronics and straintronics.
Throughput maximisation in cognitive radio networks with residual bandwidth

Recent progress in cognitive radio networks (CRNs) promises to meet device-to-device communication requirements for spectrum utilisation and power control to support billions of machines/devices to be connected worldwide. The architecture of the CRN must maintain a high data rate (throughput) at low power consumption, which requires both spectrum efficient and energy efficient system design. To this aim, the proposed work adopts a CRN model, which operates in an interweave mode that allows spectrum sensing followed by opportunistic secondary user (SU) data transmission over the unused bandwidth of the primary user (PU) in a non-overlapping frame structure. Closed form expressions of the optimal spectrum sensing duration, bandwidth, and power allocation of each secondary node are obtained to maximise the sum throughput of the overall CRN while maintaining the constraints of sensing reliability of PU, individual SU transmission outage probability, permissible interference, and residual bandwidth. Numerical results highlight that the proposed scheme maximises the sum network throughput by $\sim 50.54$~50.54 and $\sim 63.76\%$~63.76% over the other existing techniques.
The Interplay of Raloxifene and Sonochemical Bio-Oss in Early Maxillary Sinus Bone Regeneration: A Histological and Immunohistochemical Analysis in Rabbits

The study aimed to assess the efficacy of using Raloxifene with ultrasonic processing to enhance Bio-Oss®, a bone graft substitute, for maxillary sinus bone height reconstruction. A total of 24 rabbit maxillary sinuses were distributed into three groups, each receiving different treatments: Bio-Oss® only, sonicated Bio-Oss, and sonicated Bio-Oss® with Raloxifene. Surgical procedures and subsequent histomorphometric and immunohistochemistry analyses were conducted to evaluate the bone formation, connective tissue, and remaining biomaterial, as well as the osteoblastic differentiation and maturation of collagen fibers. Results indicated that the sonicated Bio-Oss® and Bio-Oss® groups showed similar histological behavior and bone formation, but the Raloxifene group displayed inflammatory infiltrate, low bone formation, and disorganized connective tissue. The statistical analysis confirmed significant differences between the groups in terms of bone formation, connective tissue, and remaining biomaterial. In conclusion, the study found that while sonicated Bio-Oss® performed comparably to Bio-Oss® alone, the addition of Raloxifene led to an unexpected delay in bone repair. The findings stress the importance of histological evaluation for accurate bone repair assessment and the necessity for further investigation into the local application of Raloxifene. Future research may focus on optimizing bone substitutes with growth factors to improve bone repair.
Towards a computational history of modernism in European literary history: Mapping the Inner Lives of Characters in the European Novel (1840–1920)

In this paper, we investigate the common narrative in literary history that the inner lives of characters became a central preoccupation of literary modernism – a phenomenon commonly referenced as the “inward turn”. We operationalize this notion via a proxy, tracing the use of verbs relating to inner life across 10 language corpora from the ELTeC collection, which comprises novels from the period between 1840–1920. We expected to find an increase in the use of inner-life verbs corresponding to the traditional periodisation of modernism in each of the languages. However, different experiments conducted with the data do not confirm this hypothesis. We therefore look at the results in a number of more granular ways, but we cannot identify any common trends even when we split the verbs into individual categories, or take canonicity or gender into account. We discuss the obtained results in detail, proposing potential reasons for them and including potential avenues of further research as well as lessons learned.
SARS-CoV-2 Vaccination Response in Japanese Patients with Autoimmune Hepatitis: Results of Propensity Score-Matched Case–Control Study

Background/Aims: Although the World Health Organization declared the end of the public health emergency of international concern focusing on COVID-19 in May 2023, this bothersome virus continues to mutate, and the possibility of the emergence of mutant strains with high infectivity and severe disease rates has not disappeared. Thus, medical evidence must be accumulated, which is indispensable for protecting both patients under immunosuppressive treatments and the healthy population. This study examined SARS-CoV-2 vaccination responses in Japanese patients with autoimmune hepatitis (AIH) compared with healthy controls. Methods: This observational study registered 22 patients with histologically diagnosed AIH and 809 healthy controls in our hospital. Their Elecsys anti-SARS-CoV-2 spike antibody concentrations before and after vaccination were evaluated. Results: In this study, 72.7% and 18.2% of patients with AIH received steroids and azathioprine, respectively. Significant negative correlations were found between age and anti-SARS-CoV-2 spike antibody concentration in both groups; however, no sex differences were found. Although anti-SARS-CoV-2 spike antibody concentration was drastically augmented after the second vaccination (p < 0.05) in the AIH group, these levels were significantly lower than those in the controls (p < 0.05). In the age- and sex-matched analysis, the population ratio with a minimum response (≤100 binding antibody units (BAU/mL) was higher among patients with AIH than among controls 26 weeks after the second vaccination (44% vs. 7%, p < 0.05). Conclusions: The anti-SARS-CoV-2 spike antibody concentration in AIH patients was significantly lower than that in controls after the second vaccination. Continued and widespread vaccination, particularly for patients requiring medical immunomodulation, is recommended.
Delay Reduction for Instantly Decodable Network Codes With Lossy Feedback Channels

In this paper, we study the decoding delay reduction problem for instantly decodable network coding (IDNC) with lossy feedback channels. In order to characterize the uncertainty of the reception state due to erasure feedback, we develop a statistical model of the state feedback matrix, whose elements are employed to indicate the likelihood of the reception status evaluated by the sender. The statistical model of the state feedback matrix can be updated according to the Markov model. With the established statistical model of the state feedback matrix, we build the statistical model of the IDNC graph, which can be used to indicate the likelihood of the coding opportunities among the vertices in the IDNC graph. The decoding delay reduction problem can be formulated as a maximum weight clique (MWC) problem. We develop two heuristic algorithms to solve the MWC problem, namely the maximum weight vertex (MWV) search and the approximate maximum weight path based MWV (A-MWP-MWV) search. Simulation results show that our proposed scheme based on statistical reception status model outperforms the scheme which keeps the reception state unchanged due to lossy feedback in estimating the reception status, and A-MWP-MWV outperforms MWV in solving the MWC problem without increasing additional complexity.
Study of The Gas-Swelling Mechanisms in Silicon Carbide Ceramics under High-Temperature Irradiation with Helium Ions

The purpose of this work is to simulate the processes of gaseous swelling in SiC ceramics as well as the associated changes in strength and thermophysical properties under high-temperature irradiation with helium ions. The choices of irradiation conditions (irradiation temperatures of 700 and 1000 K) and irradiation fluences (1015–1018 ion/cm2) are based on the possibilities of modeling the processes of destructive changes in the near-surface layer as a result of the accumulation of gas-filled inclusions during high-dose irradiation. During this study, it was found that an increase in the irradiation temperature of the samples from 700 to 1000 K leads to a decrease in the resistance to gas swelling, since with the temperature increase, the mobility of implanted helium in the near-surface layer grows, which results in an increase in the size of gas-filled bubbles and, as a result, accelerated destruction of the damaged layer. It has been established that in the case of irradiation at 700 K, the critical fluence for swelling associated with the formation of visible gas-filled bubbles on the surface is 5 × 1017 ion/cm2, while for samples irradiated at a temperature of 1000 K, the formation of gas-filled bubbles is observed at a fluence of 1017 ion/cm2. Measurements of the thermal conductivity coefficient showed that the formation of gas-filled bubbles leads to a sharp deterioration in heat transfer processes, which indicates that the created defective inclusions prevent phonon heat transfer. Changes in the strength characteristics showed that a decrease in hardness occurs throughout the entire depth of the damaged ceramic layer. However, with a rise in the irradiation fluence above 1017 ion/cm2, a slight damaged layer thickness growth associated with diffusion processes of helium implantation into the near-surface layer is observed. The relevance of this study consists in obtaining new data on the stability of the strength and thermophysical parameters of SiC ceramics in the case of helium accumulation and its subsequent radiation-induced evolution in the case of irradiation at temperatures of 700 and 1000 K. The data obtained during the experimental work on changes in the properties of ceramics will make it possible to determine the potential limits of their applicability in the case of operation under extreme conditions at elevated temperatures in the future.
Transport and travel in a fragile rural tourist destination : a social representations perspective of residents' and visitors' mobility patterns

It is a well established fact that visitors to rural destinations in the UK and other parts of Europe are highly car dependent. This car dependency has resulted in a variety of initiatives intended to tackle the associated undesirable consequences. While there are some success stories, the negative impacts of transport still pervade for residents and visitors in many destination areas. Few studies address the social assumptions that underlie travel behaviour decisions. When Moscovici's social representations theory is employed it suggests that we should develop and draw on shared perceptions, or theories, of the world around us in order to interpret our behaviour. Social representations theory offers a dynamic approach to understanding how social conceptions shape our understanding of transport and travel behaviour. This approach brings in a theoretical perspective that has been absent from tourism and local transport literature and is largely absent from the wider transport debate. The aim of the study was to enhance the understanding of tourism and leisure mobility in a rural tourism context by applying social representations theory. A case study approach was employed to provide an in-depth investigation of the transport issues in a fragile tourism destination area: Purbeck, Dorset, UK. The study includes exploratory research to define the important value concepts for the population in the study area relating to transport and tourism, followed by an examination of travel patterns and travel behaviour of visitors to the area through the use of a travel diary. Finally, a questionnaire survey was undertaken with visitors at various attractions in the area. A social representations perspective demonstrates the importance of examining the social reality and the social processes that underlie people's decision making. The findings indicate that there are pervasive representations of tourism and transport forming a socially constructed consensus which shapes views of transport and tourism. While the study shows that people would like public transport to be improved, this is essentially an idealised representation and an idea perpetuated by a public that makes little use of public transport and has little intention of leaving the car behind. Arguably, people have developed a social construction of how to deal with transport problems whereby the failure of public transport reinforces the existing situation of high car use and there is little attempt to restrict car use. This study challenges this strategy and discusses practical implications for managing mobility in sensitive rural destinations.
A holo-spectral EEG analysis provides an early detection of cognitive decline and predicts the progression to Alzheimer’s disease

Aims Our aim was to differentiate patients with mild cognitive impairment (MCI) and Alzheimer’s disease (AD) from cognitively normal (CN) individuals and predict the progression from MCI to AD within a 3-year longitudinal follow-up. A newly developed Holo-Hilbert Spectral Analysis (HHSA) was applied to resting state EEG (rsEEG), and features were extracted and subjected to machine learning algorithms. Methods A total of 205 participants were recruited from three hospitals, with CN (n = 51, MMSE > 26), MCI (n = 42, CDR = 0.5, MMSE ≥ 25), AD1 (n = 61, CDR = 1, MMSE < 25), AD2 (n = 35, CDR = 2, MMSE < 16), and AD3 (n = 16, CDR = 3, MMSE < 16). rsEEG was also acquired from all subjects. Seventy-two MCI patients (CDR = 0.5) were longitudinally followed up with two rsEEG recordings within 3 years and further subdivided into an MCI-stable group (MCI-S, n = 36) and an MCI-converted group (MCI-C, n = 36). The HHSA was then applied to the rsEEG data, and features were extracted and subjected to machine-learning algorithms. Results (a) At the group level analysis, the HHSA contrast of MCI and different stages of AD showed augmented amplitude modulation (AM) power of lower-frequency oscillations (LFO; delta and theta bands) with attenuated AM power of higher-frequency oscillations (HFO; beta and gamma bands) compared with cognitively normal elderly controls. The alpha frequency oscillation showed augmented AM power across MCI to AD1 with a reverse trend at AD2. (b) At the individual level of cross-sectional analysis, implementation of machine learning algorithms discriminated between groups with good sensitivity (Sen) and specificity (Spec) as follows: CN elderly vs. MCI: 0.82 (Sen)/0.80 (Spec), CN vs. AD1: 0.94 (Sen)/0.80 (Spec), CN vs. AD2: 0.93 (Sen)/0.90 (Spec), and CN vs. AD3: 0.75 (Sen)/1.00 (Spec). (c) In the longitudinal MCI follow-up, the initial contrasted HHSA between MCI-S and MCI-C groups showed significantly attenuated AM power of alpha and beta band oscillations. (d) At the individual level analysis of longitudinal MCI groups, deploying machine learning algorithms with the best seven features resulted in a sensitivity of 0.9 by the support vector machine (SVM) classifier, with a specificity of 0.8 yielded by the decision tree classifier. Conclusion Integrating HHSA into EEG signals and machine learning algorithms can differentiate between CN and MCI as well as also predict AD progression at the MCI stage.
Dark Current Studies in the CLARA Front-End Injector

At STFC Daresbury Laboratory a new facility CLARA (Compact Linear Accelerator for Research and Applications) is being designed and constructed. The principal aim of CLARA is advanced Free Electron Laser research. Halo and dark current in CLARA is a concern for damage to the undulator, and other applications of the machine. Recently the front end (gun, diagnostics, first linac) of CLARA has been installed including some collimation to mitigate halo effects. Beam halo may arise from gun field emission or due to beam dynamics in the early stages of acceleration, which may achieve the same energy as the core beam and thus may be transported to the undulator. The code CST is used to study the gun field emission. The code ASTRA is used to study the transport of field emission through the front end, including the effectiveness of collimators. Machine measurements of dark current are compared against these simulations.
Headache Attributed to Reversible Cerebral Vasoconstriction Syndrome (RCVS)

Reversible cerebral vasoconstriction syndrome (RCVS) is a condition with variable outcomes presenting a new onset thunderclap headache accompanied by focal neurological symptoms or seizures. It can be idiopathic or arise secondarily to a variety of trigger factors. The condition is increasingly recognized in clinical practice, but many facets remain poorly understood. This article aims to clarify the headache characteristics in RCVS, the temporal association of angiographic findings, the potential association of the condition with SARS-CoV-2 infection, and the clinical presentation of RCVS in children and is based on a systematic PRISMA search for published analytical or large descriptive observational studies. Data from 60 studies that fulfilled specific criteria were reviewed. Most people with RCVS exhibit a typical thunderclap, explosive, or pulsatile/throbbing headache, or a similar acute and severe headache that takes longer than 1 min to peak. Atypical presentations or absence of headaches are also reported and may be an underrecognized phenotype. In many cases, headaches may persist after resolution of RCVS. Focal deficits or seizures are attributed to associated complications including transient ischemic attacks, posterior reversible encephalopathy syndrome, ischemic stroke, cerebral edema, and intracranial hemorrhage. The peak of vasoconstriction occurs usually within two weeks after clinical onset, possibly following a pattern of centripetal propagation, and tends to resolve completely within 3 months, well after symptoms have subsided. There are a few reports of RCVS occurring in relation to SARS-CoV-2 infection, but potential underlying pathophysiologic mechanisms and etiological associations have not been confirmed. RCVS occurs in children most often in the context of an underlying disease. Overall, the available data in the literature are scattered, and large-scale prospective studies and international collaborations are needed to further characterize the clinical presentation of RCVS.