Miracle-dz/UniFAR-FTUs huggingface dataset:
Lessons Learned from the COVID-19 Outbreak as Experienced by ICU Nurses: Manifest Qualitative Content Analysis

From the moment the World Health Organization (WHO) declared the coronavirus (COVID-19) a global pandemic, intensive care unit (ICU) nurses struggled to care for the COVID-19 patients. As the pandemic became increasingly critical, the task of daily care for critically ill patients fell upon the shoulders of ICU nurses. Understanding the lived experience of ICU nurses, as well as their perception of the experience, is important to identify key lessons to further improve ICU nurses’ psychological well-being and resilience. This study explored the lived experiences of ICU nurses who cared for COVID-19 patients using exploratory manifest qualitative content analysis. The findings of this study revealed that these ICU nurses offer important information concerning the crucial role of nurses’ family support and religious–spiritual practices in helping them to maintain well-being and cope with the intense situations caused by the pandemic. The lessons emerging from the study findings show that family support and religious–spiritual practices are resources for coping and resilience in times of future pandemics. This implies that ICU nurses who provide care during stressful emergency surges require relief by nurses working in other areas to provide them the opportunity to rest, reconnect with family and become emotionally re-energized.
The Histone Deacetylases Hst1 and Rpd3 Integrate De Novo NAD+ Metabolism with Phosphate Sensing in Saccharomyces cerevisiae

Nicotinamide adenine dinucleotide (NAD+) is a critical cofactor essential for various cellular processes. Abnormalities in NAD+ metabolism have also been associated with a number of metabolic disorders. The regulation and interconnection of NAD+ metabolic pathways are not yet completely understood. By employing an NAD+ intermediate-specific genetic system established in the model organism S. cerevisiae, we show that histone deacetylases (HDACs) Hst1 and Rpd3 link the regulation of the de novo NAD+ metabolism-mediating BNA genes with certain aspects of the phosphate (Pi)-sensing PHO pathway. Our genetic and gene expression studies suggest that the Bas1–Pho2 and Pho2–Pho4 transcription activator complexes play a role in this co-regulation. Our results suggest a model in which competition for Pho2 usage between the BNA-activating Bas1–Pho2 complex and the PHO-activating Pho2–Pho4 complex helps balance de novo activity with PHO activity in response to NAD+ or phosphate depletion. Interestingly, both the Bas1–Pho2 and Pho2–Pho4 complexes appear to also regulate the expression of the salvage-mediating PNC1 gene negatively. These results suggest a mechanism for the inverse regulation between the NAD+ salvage pathways and the de novo pathway observed in our genetic models. Our findings help provide a molecular basis for the complex interplay of two different aspects of cellular metabolism.
Long-term measurements and statistics study on refractive index structure parameter of surface layer

The data of C 2 n refractive index structure parameter from 1997 to 2000 at a complex terrain in Hefei are studied statistically.Results of C 2 n in different ground covers,different seasons,different heights are presented. Months goes when C 2 n in daytime from strong to weak are June, May, April,September,January. The C 2 n over the grass are larger than that over the water in daytime,while the result of the comparison in nighttime is the reverse.The C 2 n decreases with altitude increase both in day and at night. The C 2 n falls slower from 3 to 10m than 10 to 15m. C 2 ns measured and modeled agree well with each other.
MXene-Functionalized Light-Induced Antimicrobial and Waterproof Polyacrylate Coating for Cementitious Materials Protection

The penetration of external stimuli (microorganisms, ions, etc.) following to the pore is the key reason for the deterioration of cement and concrete structures. Although the traditional methods such as improving the chemical composition of cement and concrete materials can delay the erosion rate, the inevitable pore structure still makes its deterioration a challenge. Based on this, we reported a protective coating for cementitious materials based on phenol and Ti3C2 MXene-modified polyacrylate (MXene-PG/PA). The introduction of phenols enhanced the waterproof properties of polyacrylate by increasing the interaction among molecular chains. Moreover, the introduction of Ti3C2 MXene also endows the MXene-PG/PA coating with good light-induced antimicrobial properties. Beneficial to these designs, the MXene-PG/PA coating exhibited good waterproof properties (the water absorption ratio in seawater decreased by 58.2%) and antimicrobial properties (inhibition of E. coli and S. epidermidis activity under light). These results not only confirm that the MXene-PG/PA coating is a potential candidate of protective coating for cement-based materials, but also provide a new strategy for the design of multifunctional protective coatings.
Caputo-Fabrizio Derivative Applied to Groundwater Flow within Confined Aquifer

AbstractThe model of the movement of subsurface water via the geological formation called aquifer was extended using a newly proposed derivative with fractional order. An alternative derivative to that of Caputo-Fabrizio with fractional order was presented. The relationship between both derivatives was presented. The new equation was solved analytically using some integral transforms. The exact solution is therefore compared to experimental data obtained from the settlement of the University of the Free State in South Africa. The numerical simulation shows the agreement of the experimental data with an analytical solution for some values of fractional order.
A Proof-of-Concept Evaluation of the 1616 Story-Based Positive Youth Development Program

The 1616 Program is a newly developed and evidence-informed story-based positive youth development (PYD) program for young ice hockey players (10–12 years of age) in North America. The program uses elite ice hockey players as role models—through story-telling—to serve as inspirational figures to engage youth athletes and important social agents (i.e., parents, coaches) with evidence-informed PYD concepts. The objective of this study was to use a Proof-of-Concept evaluation to assess whether the 1616 Program ‘worked’ in enhancing PYD outcomes and to determine if the concepts were engaging and enjoyable for youth, their parents, and coaches. The 5 week Proof-of-Concept evaluation was conducted with 11 ice hockey teams (n = 160 youths, 93 parents, and 11 coaches), encompassing both qualitative (e.g., focus groups) and quantitative (e.g., retrospective pretest-posttest questionnaires) processes and outcome assessments. Results showed that the program was well received by participants and positively impacted the intended outcomes. Overall, the data presented in this Proof-of-Concept evaluation was deemed to support the development and implementation of the full-scale 1616 Program for a more comprehensive evaluation.
Analysis of Gait Ability and Patient Reported Outcome Measurements after Robotic-assisted Total Knee Arthroplasty for Osteoarthritis of the Knee with Windswept Deformity

Introduction: Windswept deformity (WD) refers to valgus deformity in one knee and varus deformity in the other. We performed robotic-assisted (RA) total knee arthroplasty (TKA) for osteoarthritis of the knee with WD, made patient reported outcome measurements (PROMs), and performed gait analysis based on triaxial accelerometery. Case Report: A 76-year-old woman presented to our hospital with bilateral knee pain. Image-free handheld RA TKA was performed on the left knee with severe varus deformity and severe pain during walking. RA TKA was performed on the right knee with severe valgus deformity 1 month later. The RA technique was used to determine implant positioning and the plan for osteotomy intraoperatively, taking into account soft-tissue balance. This made it possible to use a posterior stabilized implant instead of a semi-constrained implant for severe valgus knee deformity with flexion contracture (Krachow classification Type 2). At 1 year after TKA, PROMs were inferior in the knee with pre-operative valgus deformity. Gait ability improved after surgery. Even with the RA technique, it took 8 months to achieve left-right balance while walking and for the variability of the gait cycle to become equivalent to that of a normal knee. Conclusion: Primary RA TKA is a viable option for osteoarthritis of the knee with WD. It took time for the gait ability of both knees to become equal and PROMs were better with the varus deformity compared to before surgery.
The Effectiveness of Pregnancy Online Classes (PROCLASS) on the Level of Knowledge and Anxiety Ahead of Labor During the COVID-19 Pandemic

Background: Restrictions on health services such as prenatal checks and the Pregnant Women Class program during the COVID-19 pandemic in several regions will have an impact on the quality of services for pregnant women. Purpose: Pregnancy online classes can potentially increase knowledge and reduce anxiety ahead of labor during the COVID-19 pandemic. Methods: Quasi-experimental and nonequivalent control group, pretest and posttest design approach Each group of 30 people (purposive sampling technique). Pre-test and PROCLASS provide material every week through videos uploaded to the WhatsApp group. The instrument uses a questionnaire (Google Form). Independent t-test and Mann-Whitney test to compare the PROCLASS and control groups. Dependent t-test and Wilcoxon test to compare the pre-and post-test in the PROCLASS group. Results: There were differences in the pre-post test on the variables of knowledge and anxiety in the PROCLASS group, respectively (p-value 0.000). There was a difference in knowledge between the PROCLASS and control groups (p-value 0.002), with an average knowledge of 88.83 in the PROCLASS group and 85.73 in the control group. There were also differences in anxiety levels between the PROCLASS and control groups (p-value 0.000), with an average anxiety level of 28.17 in the PROCLASS group and 45.70 in the control group. Conclusion: PROCLASS has proven effective in increasing knowledge and reducing the anxiety level of pregnant women before giving birth during the COVID-19 pandemic so that health workers can carry out the process (Puskesmas).
Comparative effects of radial and focused extracorporeal shock wave therapies in coccydynia

Objectives This study was conducted to compare the effects of radial and focused extracorporeal shock wave therapy (ESWT) in patients with coccydynia. Patients and methods In this prospective randomized double-blind study conducted between March 2021 and October 2021, 60 patients with coccydynia (50 males, 10 females; mean age: 35.9±12.0 years, range 18 to 65 years) were randomized into three groups (n=20) according to different wave types of ESWT: focused, radial, and sham. The Visual Analog Scale (VAS) was used for pain assessment, and the Oswestry Disability Index (ODI) was used for functional assessment in all patients before the treatment (baseline), after the completion of four sessions of treatment (fourth week), one month after the end of the treatment (eighth week), and three months after the end of the treatment (16th week). Results The mean body mass index of the participants was 26.2±3.0. Compared to baseline, the VAS scores at four weeks were reduced only in the radial ESWT group (p<0.05). Compared to baseline, the VAS and ODI scores at eight and 16 weeks were significantly reduced in both the focused and radial ESWT groups (p<0.05 for all). The radial ESWT group was significantly superior to the focused ESWT group in the comparisons between the groups at four weeks in the VAS values and at 16 weeks in the ODI scores (p<0.05 for all). Conclusion Radial and focused ESWT are both effective in treating coccydynia compared to sham ESWT. However, radial ESWT may be more effective in the treatment of coccydynia.
Vibration Control of Multiple Pendulums by Wave Control.

This paper describes a new method which can be applied for vibration control of an arbitrary multiple-pendulum system by means of the supporting point lateral movement. Considering that the real pendulum system is supported by a similar-multiple pendulum system, i.e. the imaginary system, the no-wave-reflection condition at the supporting point is obtained as the form of the supporting-point lateral acceleration, which includes the deflection and acceleration of the lower-end pendulum of the imaginary system and those of the upper-end pendulum of the real system. On-line computation of the imaginary system using the state variables of the upper-end pendulum of the real system gives the supporting-point lateral acceleration. The imaginary system can be initialized at any time to avoid energy flow from the imaginary system to the real system. Numerical simulations are presented to show the validity of this method.
Research of real-time monitoring of rail transit platform

With the rapid development of rail transit technology in China, this paper aims at the problem of train environmental monitoring and designs carriage monitoring system platform. Using Zigbee we can monitor the temperature humidity and gas concentration real- time. Matlab is used to establish a mathematical model related among temperature humidity and smoke in order to make people feel comfort and guarantee the safety.
Detection of Defects in Rolled Stainless Steel Plates by Machine Learning Models

Iron metal is the most widely used metal type. This metal, which is used in countless sectors, is processed in different ways and turned into steel. Since steel has a brittle structure compared to iron, defects may occur in the plates during the rolling process. Detection of these defects at the production stage is of great importance in terms of commercial and safety. Machine learning methods can be used in such problems for fast and high accuracy detection. For this purpose, using a dataset obtained from stainless steel surface defects in this study, classification processes were carried out to detect defects with four different machine learning methods. Logistic Regression (LR), Decision Tree (DT), Support Vector Machine (SVM) and Random Forest (RF) algorithms were used for classification processes. The highest classification accuracy was obtained from the 79.44% RF model. Correlation analysis was performed in order to analyze the effects of the features in the dataset on the classification results. It is thought that the classification accuracy of the proposed models is satisfactory for this challenging problem, but needs to be upgraded.
PMEH: A Parallel and Write-Optimized Extendible Hashing for Persistent Memory

Emerging persistent memory (PM) has the potential to substitute DRAM due to its near-DRAM performance and durability similar to disks. However, hash tables designed for DRAM cannot be directly adopted for PM. Moreover, prior studies on hash tables using Optane DC PM modules (DCPMMs) have shown suboptimal scalability and write performance due to expensive lock-based concurrent control and massive data movement caused by expansion. In this article, we propose an opportunistic lock-free parallel multisplit extendible hashing scheme (PMEH). First, PMEH achieves lock-free operations for evenly distributed data by partitioning the hash table into multiple zones and assigning each zone to one thread. Second, PMEH employs an opportunistic lock-free parallel scheme to effectively handle skewed data distribution, which maximizes the utilization of lock-free operations by enabling dynamic switching between lock-free and locking operations. Finally, PMEH uses multisplit with gradual splitting, instead of 2-split, to reduce the frequency of hash table expansion and, hence, reduce the data movement during expansion. The experimental results under the widely used YCSB workloads demonstrate that PMEH achieves excellent scalability regardless of data distribution. Moreover, PMEH significantly speeds up insertions by <inline-formula> <tex-math notation="LaTeX">$1.44\times $ </tex-math></inline-formula>–<inline-formula> <tex-math notation="LaTeX">$15.4\times $ </tex-math></inline-formula>, and deletion by <inline-formula> <tex-math notation="LaTeX">$2.04\times $ </tex-math></inline-formula>–<inline-formula> <tex-math notation="LaTeX">$18.07\times $ </tex-math></inline-formula> compared to other state-of-the-art hashing schemes. In addition, PMEH reduces at least 52% of extra writes while providing instant recovery.
The theoretic design of NMR pulses program of arbitrary N-qubit Grover’s algorithm and the NMR experiment proof

Grover’s quantum searching algorithm is most widely studied in the current quantum computation research, and has been implemented experimentally by NMR (Nuclear Magnetic Resonance) technique. In this article, we design arbitrary N-qubit NMR pulses program of Grover’s algorithm based on the multiple-quantum operator algebra theory and demonstrate 2-qubit pulses program experimentally. The result also proves the validity of the multiple-quantum operator algebra theory
The sparse reflection coefficients-based seismic multichannel convolution model

Summary This paper proposes a new multichannel convolution model for stacked seismic data. This model supposes that the layers are horizontal and the reflection coefficients are sparse. The properties of the layer change weakly and randomly, which means that the reflection coefficients from same interface change randomly with weak amplitude. Based on this model and lateral invariant seismic wavelet, we introduce the time-vary wavelet convolution model of multichannel seismic signal. Therefore the instantaneous linear mix model of independent component analysis (ICA) is satisfied. The time-vary wavelet can be estimated by solving proposed model. The synthetic and field data examples demonstrate the rationality of proposed model and the validity of the seismic wavelet estimated method. The wavelet estimated matched very well with the wavelet that was used in synthesizing data. Using the wavelet estimated by proposed method to deconvolve the real field data, the time-resolution was enhanced evidently, and the high signal-to-noise rate (SNR) was also kept.
Estimating diversity using quadrat sampling

Pielou (1966, Journal of Theoretical Biology 13, 131-144) first proposed the estimation of species diversity and its sampling error by using a pooled-quadrat procedure. Heyer and Berven (1973, Ecology 54, 642-645) modified this procedure by selecting the median of a group of sample permutations. Zahl (1977, Ecology 58, 907-913) introduced the jackknife estimation of species diversity. Under certain conditions, Pielou's pooled-quadrat estimator is shown to be equivalent to Zahl's jackknife estimator.
OsMADS1 Regulates Grain Quality, Gene Expressions, and Regulatory Networks of Starch and Storage Protein Metabolisms in Rice

OsMADS1 plays a vital role in regulating floret development and grain shape, but whether it regulates rice grain quality still remains largely unknown. Therefore, we used comprehensive molecular genetics, plant biotechnology, and functional omics approaches, including phenotyping, mapping-by-sequencing, target gene seed-specific RNAi, transgenic experiments, and transcriptomic profiling to answer this biological and molecular question. Here, we report the characterization of the ‘Oat-like rice’ mutant, with poor grain quality, including chalky endosperms, abnormal morphology and loose arrangement of starch granules, and lower starch content but higher protein content in grains. The poor grain quality of Oat-like rice was found to be caused by the mutated OsMADS1Olr allele through mapping-by-sequencing analysis and transgenic experiments. OsMADS1 protein is highly expressed in florets and developing seeds. Both OsMADS1-eGFP and OsMADS1Olr-eGFP fusion proteins are localized in the nucleus. Moreover, seed-specific RNAi of OsMADS1 also caused decreased grain quality in transgenic lines, such as the Oat-like rice. Further transcriptomic profiling between Oat-like rice and Nipponbare grains revealed that OsMADS1 regulates gene expressions and regulatory networks of starch and storage protein metabolisms in rice grains, hereafter regulating rice quality. In conclusion, our results not only reveal the crucial role and preliminary mechanism of OsMADS1 in regulating rice grain quality but also highlight the application potentials of OsMADS1 and the target gene seed-specific RNAi system in improving rice grain quality by molecular breeding.
Numerical and experimental investigations of the flow behind a supersonic micro-ramp

The flow past a micro-ramp immersed in a supersonic turbulent boundary layer was studied by means of experiments conducted with planar and tomographic PIV and numerical simulations with the implicit large eddy simulation (ILES) technique. The experimental data is mostly used to ascertain the validity of the numerical results. The time-averaged velocity distribution is compared considering the streamwise evolution of the streamwise velocity profile and the transverse velocity pattern induced by the pair of counter-rotating vortices. The comparison yields a satisfactory agreement both in terms of the momentum deficit recovery and of the rate at which the vortex pair is lifted off the surface. The flow behind the micro-ramp exhibits significant large-scale unsteady fluctuations. Notably, the quasi-conical shear layer enclosing the wake is strongly undulated under the action of Kelvin-Helmholtz (K-H) vortices. This instability is visualized by PIV and is also retrieved in the ILES simulations. The resulting vortices are arch-shaped and induce localized high-speed arcs in the outer region and a deceleration within the wake associated to ejection of low-momentum fluid. The vortical structure of the wake is given specific attention. The streamwise evolution of time-averaged streamwise vortices is characterized in terms of peak vorticity and circulation, both of which exhibit a rapid decay ascribed to the destabilizing effect of the shear layer unsteady fluctuations. The coherent K-H vortices exhibited in the near-wake region undergo further instabilities such as pairing and ultimately breakdown, with abrupt loss of coherence beyond approximately 10 ramp heights. At about the same distance from the ramp trailing edge the streamwise vortices exhibit less coherence, which is ascribed to the interaction between the arc-vortices and the streamwise vortex pair in the later stage.
Economic Assessment of Selected Regulatory Ecosystem Services (RES) in the Elgeyo and Nyambene Watersheds Ecosystems in Kenya

There is evidence of increased valuation of ecosystem services (ES) globally, however most of these studies tend to focus on marketed subsets of ES at national and international levels. Ecosystems differ in spatial scale, biophysical and ecological structure and functionality. This requires conducting studies at the local level to understand how, for example, the watershed ecosystem contributes to humanity both locally and nationally. This study focuses on selected regulatory ecosystem services (RES) in two catchment area ecosystems (Elgeyo and Nyambene) in Kenya. Both eld-based sampling and Landsat imagery with secondary information were used to generate biophysical and ecological data. Market price-based, cost-based and unit transfer methods were used for the valuation. Aggregated economic values for the selected RES were estimated at KES 37.4 billion (US$349.6 million) and KES 14 billion (US$131.3 million) for Elgeyo and Nyambene respectively. This equates to KES 1.5 million (US$13,848.48) and KES 2.6 million (US$24,187.44) per hectare per year. At the national level, the value of regulatory ecosystem services would range from US$16.6 billion to US$29.03 billion. This equates to between 15% and 26% of Kenya’s GDP in 2021, underscoring the importance of watersheds to the national economy.