Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship between Nursing Students’ Smart Devices Addiction and Their Perception of Artificial Intelligence

Background: The concept of addiction in relation to cellphone and smartphone use is not new, with several researchers already having explored this phenomenon. Artificial intelligence has become important in the rapid development of the technology field in recent years. It has a very positive impact on our day-to-day life. Aim: To investigate the relationship between nursing students’ addiction to smart devices and their perceptions of artificial intelligence. Methods: A cross-sectional design was applied. The data were collected from 697 nursing students over three months at the College of Nursing, Princess Nourah bint Abdulrahman University. Results: The correlation test shows a significant correlation between smart device addiction and the artificial intelligence of the respondents (p-value < 0.05). In addition, the majority of the students, 72.7% (507), are moderately addicted to smartphones, 21.8% (152) are highly addicted, and only 5.5% (38) have a low addiction. Meanwhile, 83.6% (583) of them have high levels of perception of artificial intelligence and the rest, 16.4% (114), have a moderate level. Conclusions: The nursing students’ perception of artificial intelligence varies significantly according to their level of addiction to smart device utilization.
ITO Thin Films for Low-Resistance Gas Sensors

Indium tin oxide thin films were deposited by magnetron sputtering on ceramic aluminum nitride substrates and were annealed at temperatures of 500 °C and 600 °C. The structural, optical, electrically conductive and gas-sensitive properties of indium tin oxide thin films were studied. The possibility of developing sensors with low nominal resistance and relatively high sensitivity to gases was shown. The resistance of indium tin oxide thin films annealed at 500 °C in pure dry air did not exceed 350 Ohms and dropped by about 2 times when increasing the annealing temperature to 100 °C. Indium tin oxide thin films annealed at 500 °C were characterized by high sensitivity to gases. The maximum responses to 2000 ppm hydrogen, 1000 ppm ammonia and 100 ppm nitrogen dioxide for these films were 2.21 arbitrary units, 2.39 arbitrary units and 2.14 arbitrary units at operating temperatures of 400 °C, 350 °C and 350 °C, respectively. These films were characterized by short response and recovery times. The drift of indium tin oxide thin-film gas-sensitive characteristics during cyclic exposure to reducing gases did not exceed 1%. A qualitative model of the sensory effect is proposed.
Patient reported outcome measures in Waldenström macroglobulinaemia: A real‐world data analysis from the WMUK Rory Morrison Registry

Waldenström macroglobulinaemia (WM) is an incurable chronic B‐cell malignancy, but highly responsive to treatment. Treatments include fixed‐duration chemotherapy and continuous oral chemoimmunotherapy. In this expanding field, it is important to have reliable information on the impact of the various therapies on patients’ quality of life (QoL). Patient reported outcome measures (PROMs) are increasingly recognised as important to understand patient experience of disease beyond traditional clinical outcome measures. Four QoL questionnaires (EORTC QLQ‐C30 [European Organisation for Research and Treatment of Cancer quality of life core questionnaire], BIPQ [Brief Illness Perception Questionnaire], HADS [Hospital Anxiety and Depression Scale], EQ‐5D‐5L [EuroQoL 5‐dimensional descriptive system questionnaire]) are embedded in the UK national WM registry, the Rory Morrison Registry. We reviewed the results from a snapshot of PROMs. As of November 2021, 155 patients completed PROM data with 98% completion rate across all 58 questions. Complete clinical information was available for 52 patients. The majority of QoL questions (69%) failed to elicit a notable median response. Only four questions elicited statistically significant responses when comparing groups, and these were exclusively found in the EuroQoL‐5D‐5L and HADS questionnaires. Our data suggest that widely used questionnaires may not be suitable for patients with WM. We advocate the development of WM‐specific outcome measures to overcome this.
Impact of P2 scribe geometry on monolithic series interconnected CIGS modules

The CIGS (Copper Indium Gallium Selenide) solar panel industry is cautiously moving to adopt laser processes for the P2 and the P3 scribe steps that form the electrical interconnection between cells within a module [1]. In this work we study variants of these two laser processes and evaluate their relative performance. P2 scribes are applied with geometries that range from continuous scribes to discrete spots and we examine the relationship between scribe geometry and P2 contact resistance. Transmission line theory [2] is used to calculate P2 contact resistance as is common in the industry. The results are compared with two simple geometric models that predict relative contact resistance for different scribe geometries. We also apply different types of scribes for both P2 and P3 in the production of minimodules and evaluate the results. We find that not only is the optimal geometry for the P2 scribe a continuous line, high overlap of the laser spots yields an improvement in contact resistance not predicted by geometry alone. Finally we find that removing only the TCO (transparent conductive oxide) layer for the P3 scribe results in modules with good efficiency, however a P3 scribe that removes the TCO and CIGS layer yields better modules with about 1% higher absolute efficiency.
Alterations in Corticocortical Vestibular Network Functional Connectivity Are Associated with Decreased Balance Ability in Elderly Individuals with Mild Cognitive Impairment

The corticocortical vestibular network (CVN) plays an important role in maintaining balance and stability. In order to clarify the specific relationship between the CVN and the balance ability of patients with mild cognitive impairment (MCI), we recruited 30 MCI patients in the community. According to age and sex, they were 1:1 matched to 30 older adults with normal cognitive function. We evaluated balance ability and performed MRI scanning in the two groups of participants. We analyzed functional connectivity within the CVN based on the region of interest. Then, we performed a Pearson correlation analysis between the functional connection and the Berg Balance Scale scores. The research results show that compared with the control group, there were three pairs of functional connections (hMST_R–Premotor_R, PFcm_R–SMA_L, and hMST_L–VIP_R) that were significantly decreased in the CVNs of the MCI group (p < 0.05). Further correlation analysis showed that there was a significant positive correlation between hMST_R–Premotor_R functional connectivity and BBS score (r = 0.364, p = 0.004). The decline in balance ability and increase in fall risk in patients with MCI may be closely related to the change in the internal connection mode of the corticocortical vestibular network.
Wearable device for prevention of postoperative and post‐discharge hypoxemia: A randomized pilot trial

The Oxalert Enhanced Pulse Oximeter (EPO) is a wearable device that detects and alerts patients to hypoxemia. In a preplanned pilot trial, we estimated the effect of continuous saturation monitoring with patient alerts on in‐hospital and post‐discharge saturation; we further assessed the feasibility of the intervention.
The Impact of Translation Techniques on The Translation Quality in The White Lady’s Subtitle

This study aimed to find out the impact of the translation techniques used by the translator in The White Lady’s subtitles of Pamali: Indonesian Folklore Horror Game. This study applied descriptive qualitative method. The data in this study were obtained through document analysis and Focus Group Discussion (FGD). The theory of translation techniques used for analysing the technique in this study was proposed by Molina and Albir (2002). This research also assessed the translation quality by using the model of Translation Quality Assessment proposed by Nababan, et al (2012). The translation quality and the assessment were done through FGD with three raters. The result showed that there were 18 techniques applied in the subtitle. This study found that established equivalent affected the translation quality in positive way. Meanwhile, deletion technique gave the bad impact on all aspects of translation quality. This study also discovered the technique namely variant borrowing that was found by Dyah (2019). The average score of accuracy, acceptability, and readability respectively was 2,94, 2,96, and 2,97. Therefore, the score of the translation quality was high with 2.95 of 3.
Lagrangian Stochastic Analysis of Flux-Gradient Relationships in the Convective Boundary Layer

Abstract A generalized Langevin model is used to conduct Lagrangian statistical simulations of turbulent dispersion in a shear-free convective boundary layer. This model more nearly realizes a well-mixed steady state than previous models. It is, therefore, less influenced by spurious concentration gradients and so is more appropriate for the analysis of flux-gradient relationships. For instantaneous area sources mean concentration predictions compare very favorably with convection tank data and with other modeling attempts. Diffusivities calculated for a near-surface source also agree very well with convection tank data and show substantial regions of countergradient flux. Calculations for other source heights also show regions of countergradient flux and confirm that the diffusivity is a strong function of source height. For continuous area sources model predictions are in excellent agreement with the results of large-eddy simulations. They show that there is a strong asymmetry between “top-down” and “bo.
A novel hybrid deep learning approach for 5G network traffic control and forecasting

5G is planned to link not just traditional devices such as tablets and smartphones, but also smart devices, smart homes, autonomous vehicles, and industry 4.0 which significantly increases the amount of traffic over the network. Network function virtualization and software defined networks will be used heavily to create scalably and on‐demand 5G architecture using virtual network functions. In this article, we proposed a unique approach to scaling 5G core network resources by predicting traffic load fluctuations using a hybrid model. Most researchers have presented deep learning models to anticipate regular traffic to improve services, however, these recommended models have failed to estimate traffic load during festivals to unexpected changes in traffic conditions. To solve this issue, we introduced CNN+LSTM, a hybrid model that combines CNN, and LSTM to forecast cumulative network traffic across particular intervals to scale up and properly estimate the availability of 5G network resources by leveraging traffic load variations. The suggested model surpasses the other tested deep learning models and existing techniques that forecast the output in both normal and abnormal traffic conditions, according to a comparison of the produced output with existing techniques.
Existence of the global attractor for weakly damped, forced KdV equation on Sobolev spaces of negative index

In this paper, we treat the weakly damped, forced KdV equation on $\dot{H}^s$. We are interested in the lower bound of $s$ to assure the existence of the global attractor. The KdV equation has infinite conservation laws, each of which is defined in $H^j(j\in\mathbb Z, j\ge 0)$. The existence of the global attractor is usually proved by using those conservation laws. Because the KdV equation on $\dot{H}^s$ has no conservation law for $s<0$, it seems a natural question whether we can show the existence of the global attractor for $s<0$. Moreover, because the conservation laws restrict the behavior of solutions, the time global behavior of solutions for $s<0$ may be different from that for $s\ge 0$. By using a modified energy, we prove the existence of the global attractor for $s > -3/8$, which is identical to the global attractor for $s \ge 0$.
CORIOLIS COUPLING EFFECTS ON THE VIBRATION OF ROTATING RINGS

The vibration properties of a ring subjected to angular velocity components applied simultaneously about three mutually perpendicular axes are investigated. Ring structures have potential applications as multi-axis rate sensors and hence the effects of angular velocity on the vibration properties are practically important. Coriolis coupling between in-plane and out-of-plane displacements of a ring due to angular velocity applied about axes in the plane of the ring, and about the polar axis of the ring, allow it to be used as a multi-axis rate sensor. Equations of motion are derived for the rotating ring. The combinations of in-plane and out-of-plane displacement patterns for which Coriolis coupling is present are investigated and the corresponding natural frequencies and mode shapes of the rotating ring are derived. Simple analytical expressions are developed for a number of special cases and some numerical examples are presented. The effect of small imperfection on the natural frequencies of the rotating ring is also considered.
Constructing Imminent Carcinogenic Attack in English and Arabic Scientific Discourse: A Corpus-Based Contrastive Study

Cancer is one of the critical health concerns. Health authorities around the world have devoted great attention to cancer and cancer causing factors to achieve control against the increasing rate of cancer. Carcinogens are the most salient factors that are accused of causing a considerable rate of cancer cases. Scientists, in different fields of knowledge, keep warning people of the imminent attack of carcinogens which are surrounding people in the environment and may launch their attack at any moment. The present paper aims to investigate the linguistic construction of the imminent carcinogen attack in English and Arabic scientific discourse. Such an investigation contributes to enhancing the scientists’ awareness of the linguistic conduct they follow in attracting people’s attention towards the risk of the approaching attack. The linguistic awareness also helps maintain better promotion of people’s pre-emptive responses that can reduce the potential for cancer cases. To achieve this aim, the paper adopts dual methodological procedures of qualitative and quantitative analyses. Cap’s (2013) proximization theory of threat and crisis construction is adopted for both qualitative and quantitative procedures. The mathematical calculations and statistical results for discourses in both languages are maintained by corpus linguistic analysis using Anthony’s (2019) software, AntConc. The paper has come up to certain conclusions that shed light on the similarities and differences in the construction of the imminent carcinogen attack in both languages. English scientific discourse has shown more reliance on temporal proximization to envisage the imminent attack of carcinogens against human bodies. Categories 1, 2, 3 and 5 are all more dominant in the English scientific discourse. However, both English and Arabic discourses show diversity in the density and employment of the lexico- grammatical tools (categories) that manifest the carcinogen attack.
Task-Driven Video Compression for Humans and Machines: Framework Design and Optimization

Learned video compression has developed rapidly and achieved impressive progress in recent years. Despite efficient compression performance, existing signal fidelity oriented or semantic fidelity oriented video compression methods limit the capability to meet the requirements of both machine and human vision. To address this problem, a task-driven video compression framework is proposed to flexibly support vision tasks for both human vision and machine vision. Specifically, to improve the compression performance, the backbone of the video compression framework is optimized by using three novel modules, including multi-scale motion estimation, multi-frame feature fusion, and reference based in-loop filters. Then, based on the proposed efficient compression backbone, a task-driven optimization approach is designed to achieve the trade-off between signal fidelity oriented compression and semantic fidelity oriented compression. Moreover, a post-filter module is employed for the framework to further improve the performance of the human vision branch. Finally, rate-distortion performance, rate-accuracy performance, and subjective quality are employed as the evaluation metrics, and experimental results show the superiority of the proposed framework for both human vision and machine vision.
ECM Mimicking Biodegradable Nanofibrous Scaffold Enriched with Curcumin/ZnO to Accelerate Diabetic Wound Healing via Multifunctional Bioactivity

Introduction Foot ulceration is one of the most severe and debilitating complications of diabetes, which leads to the cause of non-traumatic lower-extremity amputation in 15–24% of affected individuals. The healing of diabetic foot (DF) is a significant therapeutic problem due to complications from the multifactorial healing process. Electrospun nanofibrous scaffold loaded with various wound dressing materials has excellent wound healing properties due to its multifunctional action. Purpose This work aimed to develop and characterize chitosan (CS)-polyvinyl alcohol (PVA) blended electrospun multifunctional nanofiber loaded with curcumin (CUR) and zinc oxide (ZnO) to accelerate diabetic wound healing in STZ-induced diabetic rats. Results In-vitro characterization results revealed that nanofiber was fabricated successfully using the electrospinning technique. SEM results confirmed the smooth surface with web-like fiber nanostructure diameter ranging from 200 – 250 nm. An in-vitro release study confirmed the sustained release of CUR and ZnO for a prolonged time. In-vitro cell-line studies demonstrated significantly low cytotoxicity of nanofiber in HaCaT cells. Anti-bacterial studies demonstrated good anti-bacterial and anti-biofilm activities of nanofiber. In-vivo animal studies demonstrated an excellent wound-healing efficiency of the nanofibers in STZ–induced diabetic rats. Furthermore, the ELISA assay revealed that the optimized nanofiber membrane terminated the inflammatory phases successfully by downregulating the pro-inflammatory cytokines (TNF-α, MMP-2, and MMP-9) in wound healing. In-vitro and in-vivo studies conclude that the developed nanofiber loaded with bioactive material can promote diabetic wound healing efficiently via multifunction action such as the sustained release of bioactive molecules for a prolonged time of duration, proving anti-bacterial/anti-biofilm properties and acceleration of cell migration and proliferation process during the wound healing. Discussion CUR-ZnO electrospun nanofibers could be a promising drug delivery platform with the potential to be scaled up to treat diabetic foot ulcers effectively.
Respiration of Invasive Bivalve Anadara kagoshimensis (Tokunaga, 1906) at 14-Days Starvation and Different Oxygen Content in Sea Water

ABSTRACT The influence of oxygen content in sea water and 14-days starvation on respiration rate (RR) of the bivalve species, blood clam Anadara kagoshimensis (Tokunaga, 1906) has been studied. Clams with shell height 25–30 mm were used for experiments. The RR varied over a wide range, from maximal value 89.9 mgO2·l–1 (at 100% saturation) to 5.0 µgO2·h–1·gww–1 (at 76% saturation) at salinity 17–18 and temperature 18°C. The oxygen consumption of the blood clam was substantially lower compared to other benthic bivalves. Results suggest the ability of A. kagoshimensis to transition rapidly from aerobic to anaerobic metabolism under conditions that are not critical for them. Two-week starvation led to an increase in RRs of the blood clam A. kagoshimensis, which indicates an intensification of oxidative processes of organism by 35%–55%. Metabolic processes that require increased oxygen consumption are discussed.
Time-dependent Comptonization: X-ray reverberations

We discuss time-dependent Comptonization for a source in which thermal, nonrelativistic Comptonization is an important cooling mechanism. When the scattering optical depth is much larger than the optical depth for emission and absorption of radiation, an impulsive emission within the source is delayed and broadened in time and spectrally hardened, due to repeated Compton scattering. Our treatment allows us to obtain an approximate, analytic solution for the temporal and spectral evolution of a fluctuation and enables us to determine some properties of the source unobtainable from the persistent emission. The results of our calculations may be relevant to X-ray sources showing rapid time variability.
Repetitive Transcranial Magnetic Stimulation of the Brain Region Activated by Motor Imagery Involving a Paretic Wrist and Hand for Upper-Extremity Motor Improvement in Severe Stroke: A Preliminary Study

Approximately two-thirds of stroke survivors experience chronic upper-limb paresis; however, treatment options are limited. Repetitive transcranial magnetic stimulation (rTMS) can enhance motor function recovery in stroke survivors, but its efficacy is controversial. We compared the efficacy of stimulating different targets in 10 chronic stroke patients with severe upper-limb motor impairment. Motor imagery-based brain–computer interface training augmented with virtual reality was used to induce neural activity in the brain region during an imagery task. Participants were then randomly assigned to two groups: an experimental group (received high-frequency rTMS delivered to the brain region activated earlier) and a comparison group (received low-frequency rTMS delivered to the contralesional primary motor cortex). Behavioural metrics and diffusion tensor imaging were compared pre- and post rTMS. After the intervention, participants in both groups improved somewhat. This preliminary study indicates that in chronic stroke patients with severe upper-limb motor impairment, inducing activation in specific brain regions during motor imagery tasks and selecting these regions as a target is feasible. Further studies are needed to explore the efficacy of this intervention.