Miracle-dz/UniFAR-FTUs huggingface dataset:
Technostress, anxiety, and coping strategies in online teaching among nurse educators

The use of technology in educational processes accompanies adaptation issues due to the rapid development and cost of technology, internet connectivity, need for electricity, suitable space at home and sufficient knowledge in navigating online platforms (Munoz, et. al., 2020). The goal of this study is to determine the technostress, anxiety, and coping strategies in online teaching of nurse educators in universities and colleges of nursing in Laguna. Further, the study probed the relationship between respondents’ level of technostress and level of anxiety, level of technostress and coping strategies, and level of anxiety and coping strategies. The findings revealed that the level of technostress among nurse educators in Laguna was low, have a mild level of anxiety, and very high in utilizing coping strategies. There was a significant relationship between the respondents’ level of technostress and level of anxiety, as the probability values of 0.006 (learning-teaching and profession oriented), 0.039 (technical oriented), 0.008 (personal-oriented), and 0.001 (social-oriented) were less than the 0.01 and 0.05 significance level respectively, thus implied that the lower the respondents’ level of technostress the more the respondents’ have mild anxiety, there was no significant relationship between the respondents’ level of technostress and coping strategies, as the probability values 0.586 (learning-teaching process oriented), 0.211 (profession oriented), 0.960 (technical oriented), 0.506 (personal oriented), and 0.297 (social oriented) are more than 0.05 significance level, this implied that the hypothesis that there is no significant relationship between the respondent’s level of technostress and coping strategies was accepted, and lastly, there was no significant relationship between the respondents’ level of anxiety and coping strategies, as the probability value 0.192 is more than 0.05 significance level, therefore, the hypothesis that there is no significant relationship between the respondent’s level of anxiety and coping strategies was accepted.
Validation of protein crystal structures

Since the process of building and refining a model of a biomacromolecule based on crystallographic data is subjective, quality-control techniques are required to assess the validity of such models. During the 1990s, much experience was gained; the methods used and some of the lessons learned are reviewed here. In addition, an extensive compendium of quality criteria and quality-control methods that are or have been used to validate models of biomacromolecules has been compiled. The emphasis in this compendium is on the validation of protein crystal structures.
A comparative study of the attentional blink of facial expression in deaf and hearing children

The rapid serial visual presentation paradigm was used to investigate differences in the attentional blink between deaf children and hearing children in response to facial expressions of fear and disgust. The results showed that: (1) deaf and hearing children had a higher accuracy rate for T1 with disgustful facial expression than T1 with fear facial expression, (2) There was no significant difference in attentional blink between deaf and hearing children, (3) When T2 appeared at Lag6, the response accuracy of T2 in the disgust T1 condition was lower than that in fear T1 condition. However, no significant difference in T2 at Lag2 was found between the two conditions. The results showed that deaf children and those with hearing were more sensitive to facial expressions of disgust, which captured more attentional resources, and the ability of visual attention of deaf children was not weaker than hearing children.
A stochastic parameterization scheme within NCEP global ensemble forecast system

Current operational ensemble forecast systems have a common shortcoming: the ensemble spread is significantly less than root mean square error of the ensemble mean forecast (Buizza et al, 2004). For the NCEP Global Ensemble Forecast System (GEFS), there is also significant bias in the mean forecast. Specifically, the mean error averaged over the northern or southern hemispheric extratropics for the 500hPa height and 850hPa temperature can be over 10m and C ° 1 , respectively, in medium range forecasts. These deficits are mainly due to the inadequate representation of model uncertainty. In the operational GEFS system, model related uncertainties are neglected. Effort has been made to represent model uncertainties since 1990s. Toth and Kalnay (1995) deliberately inflate the ensemble perturbations during the integration to increase the ensemble spread. Multi-model and multi-model version approaches are employed in both operational systems (e.g. Houtekamer et al., 1996) and experimental tests (e.g. Stensrud et al. 2000 and Hou et al. 2001). However, the attempt to include model uncertainty in GEFS, represented by the two available cumulus parameterization schemes lead to insignificant improvement in the forecasts of the atmospheric circulation variables (Hou et al. 2004). On the other hand, the use of stochastic noise to represent unpredictable small-scale variability, in the form of stochastic physics with the ECMWF ensemble forecast system (Buizza, et al, 1999) and the stochastic backscatter applied to the UK Met Office model (Frederiksen and Davies 1997), appear to have beneficial effect on forecast skills and synoptic variability. Based on these considerations, research is being conducted at EMC/NCEP to develop a practical and effective stochastic parameterization scheme within GEFS. The results from some experiments with the scheme are reported in this paper.
Investigation of 3D photoresist profile effect in self-aligned patterning through virtual fabrication

The effects of photoresist sidewall profile and LER on two representative integration schemes were studied through 3D virtual fabrication: Front-End of Line (FEOL) Fin formation and Back-End of Line (BEOL) Metal line definition. Both of these processes use self-aligned double patterning (SADP) in pattern definition, and affect the circuit performance through MOSFET channel shape and parasitic capacitance respectively. In both cases we imposed LER and sidewall roughness on the photoresist that defines the mandrel at the initial step of the SADP flow using SEMulator3D. The LER followed a Gaussian correlation function for a number of amplitude and correlation length values. The sidewall profile emulated the bulb-shaped pattern that is reported in experimental works. The taper angle and roughness amplitude of this shape were varied to isolate its components. In each of these cases, we have found direct evidence of resist sidewall profile impact on variability degradation in CD and electrical performance. Special care should be placed on controlling resist profile through optimization of exposure and development schemes.
Holistic and Opportunistic Scheduling of Background I/Os in Flash-Based SSDs

Background (BG) tasks are maintained indispensably in multiple layers of storage systems, from applications to flash-based SSDs. They launch a large amount of I/Os, causing significant interference with foreground (FG) I/O performance. Our key insight is that, to mitigate such interference, holistic scheduling of system-wide, multi-source BG I/Os is required and can only be realized at the underlying SSD layer. Only the SSD has a global view of all FG and BG I/Os as well as direct information and control about flash storage resources. We are thus inspired to propose a novel I/O scheduling architecture, called HuFu. It provides a framework for host software to register BG tasks and offload their I/O scheduling into the SSD. Then, the SSD-internal I/O scheduler prioritizes FG I/O processing, while BG I/Os are scheduled opportunistically by utilizing flash parallelism and idleness. To verify HuFu, we perform case studies on RocksDB and compares it with several state-of-the-art host-side I/O scheduling schemes. Experimental results show that HuFu can significantly alleviate performance interference caused by BG I/Os and improve SSD bandwidth utilization, thus improving the FG throughput, average and tail latencies (e.g., by about 18% in a write-heavy workload).
Life Cycle Monitoring of Offshore Steel Pipe Piles via UWFBG Wireless Sensor Network

Monitoring the stress and deformation state of offshore steel pipe piles is very necessary for complex ocean environments. However, challenges still remain in remotely capturing detailed data on offshore projects. Herein, an ultraweak fiber Bragg gratings- (UWFBGs-) based wireless sensor network was established to obtain the high-precision strain along the piles. The No. 3 offshore wind power safety monitoring project in South Shandong Peninsula, China, used such a fiber-optic monitoring system. From January 1 to June 1, 2022, strain profiles of three offshore steel pipe piles were measured in seconds with a 1 m spatial resolution and a 1 με strain resolution, which clearly show sea level and mud-water interfaces. To assess the pile’s operational condition, the displacement and rotational angle of the mud surface are further calculated. It is discovered that the horizontal deformation at sea has a positive correlation with the wind, waves, and current, meanwhile decreasing with depth. The UWFBG-wireless sensor network can realize dynamic monitoring and early warning, which is promising for the life cycle monitoring of offshore wind turbine steel pipe piles.
Performance Analysis of Parallel Implementations of Global Sequence Alignment Methods for DNA Sequencing

: Global sequence alignment is an essential process in bio-informatics for determining the degree of similarity between two DNA sequences. It is performed using the Dynamic Programming (DP) approach, in which the problem is broken down into smaller ones, and these sub-problems are solved individually. There are various dynamic programming-based approaches to performing global sequence alignments, e.g.,Needleman-Wunsch (NW), Longest Common Subsequences (LCS). It is computationally di ffi cult and complex to perform a global sequence alignment operation when the given DNA sequences are very large because programs based on dynamic programming are generally written to run sequentially. On the other hand, A well-written parallelized code executes many times faster than its equivalent serial code. This paper first explains the NW and LCS methods. Then the parallelization of these methods for shared memory and distributed memory architecture using OpenMP and MPI parallel paradigms is discussed in detail and compares the sequential and parallelized version of the Needleman–Wunsch and longest common subsequences. The detailed experiments for sequential and parallelized implementation of both methods were carried out by varying the DNA sequence length and number of threads in the case of OpenMP-based parallelization and the number of processes in the case of MPI-based parallelization. The obtained experimental results helped to perform a comparative performance evaluation based on the execution time of the sequential and parallel implementation of the methods. The speedup analysis of results showed that the parallelized implementations are many times faster than the equivalent sequential implementation, and MPI-based parallel implementation is approximately three times faster than the
How the plant probiotic bacteria and herbivore-induced plant volatiles (HIPVs) alter functional response of Phytoseiulus persimilis (Phytoseiidae) on the two-spotted spider mite

The two-spotted spider mite, Tetranychus urticae Koch (Acari: Tetranychidae), is one of the economically most important pests on different crops worldwide. Its management programs are normally conducted based on the usage of chemical acaricides. However, considering the side effects of acaricides and rapid resistance development, releasing the predator mite, Phytoseiulus persimilis Athias-Henriot (Acari: Phytoseiidae), is an alternative method for the control of T. urticae. In this study, the effects of plant probiotic bacteria; Bacillus pumilus INR7 (Bacillales: Bacillaceae) and Bacillus velezensis Fol (Bacillales: Bacillaceae), and herbivore-induced plant volatiles (HIPVs) (methyl jasmonate, methyl salicylate, Indole and 3-pentanol) were investigated on the functional response of P. persimilis to T. urticae eggs laid on attached leaves of kidney bean under laboratory conditions (25 ± 1 °C, 65 ± 5% RH and a photoperiod of 16:8h L:D). Densities of 2, 5, 10, 20, 30, 40, 50 and 60 prey in 10 replications were offered to the 1-day-old adult female individuals of P. persimilis during a 24-h period. The results of logistic regression analyses showed a type II functional response on all treatments. The Rogers model was used to estimate the instantaneous attack rate (a) and handling time (Th). The instantaneous attack rate had no significant difference among treatments. The handling time on B. velezensis (0.3540 ± 0.0716 h) and methyl salicylate (0.3593 ± 0.0842 h) was significantly lower than in other treatments. These results suggest that methyl salicylate and B. velezensis may have a positive effect on the foraging behavior of P. persimilis against T. urticae.
Arabic Reports about Supernovae 1604 and 1572 in Rawḥ al-Rūḥ by cĪsā b. Luṭf Allāh from Yemen

We present Arabic texts about supernovae SN 1572 and SN 1604. The short observational reports were found in the Yemeni history book entitled Rawḥ al-Rūḥ written by cĪsā b. Luṭf Allāh b. al-Muṭahhar. The text about SN 1604 specifies the location of a new star at the beginning of the zodiacal sign of Sagittarius, consistent with SN 1604 in the constellation of Ophiuchus. It was observed in fall a.d. 1604 for some 40 days (probably limited by its heliacal setting after around a.d. 1604 22 November). The object is called a najm (star) of the nayāzik (transient celestial objects), from which we can conclude that it was a tailless and/or stationary new star (rather than, e.g., a comet). It was specified to be as (large/bright as) Jupiter, consistent with the supernova in a.d. 1604 October and November The text confirms other reports about SN 1604. Furthermore, a short text reports a new star (najm) in the north-east, larger than Venus, observed in the year a.h. 980 (a.d. 1572 May to 1573 May), connected to the death of a leader on a.d. 1572 9 ± 2 November; this could well be SN 1572, otherwise observed to be as bright as Venus since a.d. 1572 6 November. These new findings may indicate that more Yemeni reports about Galactic supernovae can be uncovered. The description of the new star of a.d. 1604 as najm (star) of the nayāzik (transient celestial objects) and of the comet of a.d. 1577 as “a star [najm] … of the nayāzik, with a tail … with a visible movement” shows that the author distinguished between cometary and star-like transient celestial objects.
Performance Analysis of Task Offloading in Mobile Edge Cloud Computing for Brain Tumor Classification Using Deep Learning

The increasing prevalence of brain tumors necessitates accurate and efficient methods for their identification and classification. While deep learning (DL) models have shown promise in this domain, their computational demands pose challenges when deploying them on resource-constrained mobile devices. This paper investigates the potential of Mobile Edge Computing (MEC) and Task Offloading to improve the performance of DL models for brain tumor classification. A comprehensive framework was developed, considering the computational capabilities of mobile devices and edge servers, as well as communication costs associated with task offloading. Various factors influencing task offloading decisions were analyzed, including model size, available resources, and network conditions. Results demonstrate that task offloading effectively reduces the time and energy required to process DL models for brain tumor classification, while maintaining accuracy. The study emphasizes the need to balance computation and communication costs when deciding on task offloading. These findings have significant implications for the development of efficient mobile edge computing systems for medical applications. Leveraging MEC and Task Offloading enables healthcare professionals to utilize DL models for brain tumor classification on resource-constrained mobile devices, ensuring accurate and timely diagnoses. These technological advancements pave the way for more accessible and efficient medical solutions in the future.
Modified Adomian decomposition method for solving fractional optimal control problems

In this study, we use the modified Adomian decomposition method to solve a class of fractional optimal control problems. The performance index of a fractional optimal control problem is considered as a function of both the state and the control variables, and the dynamical system is expressed in terms of a Caputo type fractional derivative. Some properties of fractional derivatives and integrals are used to obtain Euler–Lagrange equations for a linear tracking fractional control problem and then, the modified Adomian decomposition method is used to solve the resulting fractional differential equations. This technique rapidly provides convergent successive approximations of the exact solution to a linear tracking fractional optimal control problem. We compare the proposed technique with some numerical methods to demonstrate the accuracy and efficiency of the modified Adomian decomposition method by examining several illustrative test problems.
Artificial Intelligence and Machine Learning for Real-time Energy Demand Response and Load Management

Within this compendium, an exhaustive examination is undertaken to scrutinize the intricate amalgamation of artificial intelligence (AI) and machine learning (ML) techniques within the paradigm of real-time energy demand response and load management. Placing paramount importance on the pervasive significance of AI and ML, this research expounds upon their profound capabilities to adroitly harmonize the delicate interplay between supply and demand, meticulously calibrate the multifarious dimensions of grid stability, and optimize the boundless potential inherent in renewable energy resources. An in-depth analysis ensues, encompassing the deployment of AI algorithms, poised at the vanguard of demand response optimization, and the judicious utilization of ML techniques, flawlessly calibrated to deliver unerring accuracy across varying temporal scales in the realm of load forecasting. Furthermore, the seamless integration of AI into the very fabric of intelligent appliances and Internet of Things (IoT)-enabled systems unfolds, illuminating the path towards energy consumption optimization, ascertaining an intricate tapestry of interconnected devices, and engendering an ecosystem of intelligent load management. Notably, this comprehensive exposition delves into the far-reaching implications for optimal load management and resource allocation, magnifying the transformative potential that AI-driven algorithms hold in precisely balancing energy utilization and deftly managing the intricate interdependencies that permeate load distribution. Through meticulous elucidation, this illuminating manuscript emboldens the reader with insights into the progressive advancements and myriad benefits that the tandem of AI and ML confers upon the dynamic energy sector, charting an unyielding course towards unprecedented resilience and sustainable utilization of our cherished renewable energy resources.
Large-scale Map of Millimeter-wavelength Hydrogen Radio Recombination Lines around a Young Massive Star Cluster

We report the first map of large-scale (10 pc in length) emission of millimeter-wavelength hydrogen recombination lines (mm-RRLs) toward the giant H ii region around the W43-Main young massive star cluster (YMC). Our mm-RRL data come from the IRAM 30 m telescope and are analyzed together with radio continuum and cm-RRL data from the Karl G. Jansky Very Large Array and HCO+ 1–0 line emission data from the IRAM 30 m. The mm-RRLs reveal an expanding wind-blown ionized gas shell with an electron density ∼70–1500 cm−3 driven by the WR/OB cluster, which produces a total Lyα photon flux of s−1. This shell is interacting with the dense neutral molecular gas in the W43-Main dense cloud. Combining the high spectral and angular resolution mm-RRL and cm-RRL cubes, we derive the two-dimensional relative distributions of dynamical and pressure broadening of the ionized gas emission and find that the RRL line shapes are dominated by pressure broadening (4–55 ) near the YMC and by dynamical broadening (8–36 ) near the shell’s edge. Ionized gas clumps hosting ultra-compact H ii regions found at the edge of the shell suggest that large-scale ionized gas motion triggers the formation of new star generation near the periphery of the shell.
Electrospun Poly-L-Lactic Acid Scaffolds Surface-Modified via Reactive Magnetron Sputtering Using Different Mixing Ratios of Nitrogen and Xenon

Controlled regeneration processes involving tissue growth using the surface and structure of scaffolds, are actively used in tissue engineering. Reactive magnetron sputtering is a versatile surface modification method of both metal and polymer substrates, as the properties of the formed coatings can be modified in a wide range by changing the process parameters. In magnetron sputtering, the working gas and its composition have an influence on the chemical composition and physical characteristics of the obtained coatings. However, there are no studies addressing the influence of the nitrogen/xenon gas mixture ratio in direct current magnetron sputtering on the deposition rate, physicochemical and in vitro properties of surface-modified biocompatible poly-L-lactic acid scaffolds. In this study, the application of mixtures of nitrogen and xenon in various ratios is demonstrated to modify the surface of non-woven poly-L-lactic acid scaffolds by direct current magnetron sputtering of a titanium target. It has been found that the magnetron sputtering parameters chosen do not negatively influence the morphology of the prepared scaffolds, but increase the hydrophilicity. Moreover, quantitative spectroscopic analysis results indicate that the formed coatings are primarily composed of titanium oxide and titanium oxynitride compounds and is dependent on the gas mixture ratio only to a certain extent. Atomic force microscopy investigations of the roughness of the fibers of the electrospun scaffolds and the thickness of the coatings formed on them show that the considerable variations observed in the intrinsic fiber reliefs are due to the formation of a fine layer on the fiber surfaces. The observed decrease in roughness after plasma modification is due to temperature and radiation effects of the plasma. In vitro experiments with human osteosarcoma cells show that the scaffolds investigated here have no cytotoxic effect on these cells. The cells adhere and proliferate well on each of the surface-modified electrospun scaffolds, with stimulation of cell differentiation in the osteogenic direction.
THE LUX DARK MATTER EXPERIMENT: DETECTOR PERFORMANCE AND ENERGY CALIBRATION

xii 1 Evidence for Dark Matter 1 1.1 Modified Gravity . 2 1.2 Historical Evidence for Dark Matter . 3 1.2.1 ΛCDM . 4 1.2.2 Galaxy and Cluster Dynamics . 4 1.2. 3 Cosmology . 5 1.2. 4 Gravitational Lensing . 5 1.3 Dark Matter Candidates . 6 1.3. 1 Standard Model Dark Matter . 7 1.3. 2 Axions . 8 1.3. 3 WIMPs . 9 2 WIMP Dark Matter Searches 13 2.1 The WIMP signal . 14 2.2 Background Mitigation . 17 2.2.1 Background Sources . 18 2.2.2 Self-Shielding . 19 2.2. 3 Annual Modulation . 21 2.2. 4 Nuclear Recoil Discrimination . 22 2.2. 4.1 Cryogenic detectors . 22 2.2. 4.2 Bubble Chambers . 23