Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of the Concept of Fast-Track Surgery Combined with Empathic Nursing on Perioperative Complication Prevention and Postoperative Recovery of Gynecological Malignant Tumor Patients

Objective This study is aimed at exploring the effects of the concept of fast-track surgery (FTS) combined with empathic nursing on perioperative complication prevention and postoperative recovery of gynecological malignant tumor patients. Methods A total of 180 patients with gynecological malignant tumor treated by surgery in our hospital from September 2018 to October 2021 were randomly divided into three groups: group A, group B, and group C, with 60 patients in each group. Group C was given conventional nursing intervention, group B was given FTS intervention, and group A was given FTS intervention combined with empathic care. Psychological stress state (systolic blood pressure, diastolic blood pressure, and heart rate), postoperative recovery indicators (time of first anal exhaust, time of first defecation, time of getting out of bed, and length of postoperative hospital stay), postoperative complications, and psychological state (Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS)) levels of patients in the three groups were compared. Results Systolic blood pressure, diastolic blood pressure, and heart rate in group A were lower than those in group B, and those in group B were lower than those in group C (all P < 0.05). The time of first anal exhaust, time of first defecation, time of getting out of bed, and postoperative hospital stay in groups A and B were shorter than those in group C (all P < 0.05). The incidence of postoperative complications in groups A and B was 8.33% and 8.33%, respectively, lower than 23.33% in group C (both P < 0.05). SAS and SDS scores of group A were lower than those of groups B and C after intervention (all P < 0.05). Conclusion The concept of FTS combined with empathic nursing is beneficial to reduce the stress response of patients with gynecological malignant tumor before surgery, reduce the risk of postoperative complications, improve patients' mood, and speed up the rehabilitation process of patients.
In-Vitro Phenotypic Response of Human Osteoblasts to Different Degrees of Titanium Surface Roughness

Objectives: This study aimed to investigate human osteoblast (HOB) responses towards different degrees of titanium (Ti) implant surface roughness. Methods: Four degrees of Ti surface roughness were investigated on a micrometer roughness scale: smooth (S: 0.08–0.1 µm), minimally rough (MM: 0.3–0.5 µm), moderately rough (MR: 1.2–1.4 µm), and rough (R: 3.3–3.7 µm). HOB cells were cultured, expanded, and maintained according to the supplier’s protocol. Cell proliferation and cytotoxicity were assessed at day 1, 3, 5, and 10 using alamarBlue and lactate dehydrogenase colorimetric assays. Data were analyzed with one-way ANOVA, two-way ANOVA, and Tukey’s post hoc test (p = 0.05 for all tests). Results: There was no significant difference in the cell proliferation or cytotoxicity of the HOB cells in contact with the different degrees of Ti surface roughness. There was, however, a significant time effect on cell proliferation (p < 0.0001) with different exposure durations for each roughness degree. Furthermore, a positive correlation (non-significant) between proliferation and cytotoxicity was observed for all investigated degrees of surface roughness. Conclusion: All investigated roughness degrees showed comparable HOB proliferation, with the MR surface presenting the highest percentage, followed by the R, MM, ad S, surfaces, respectively. The S surface showed the highest cytotoxic effect on HOBs; however, it did not reach the cytotoxic level suggested by the ISO for any medical device to be considered cytotoxic.
Weighted Blankets’ Effect on the Health of Older People Living in Nursing Homes

Background: An increasingly aging population is a global phenomenon. While considered a positive step forward, vulnerability to age-related health problems increases along with the ageing population. The aim of the study was to investigate weighted blankets’ effect on health regarding quality of life (QoL), sleep, nutrition, cognition, activities of daily living ADL and medication in older people living in nursing homes. Methods: In total, 110 older people were involved in an intervention with weighted blankets, and 68 older people completed the intervention. Measures before and after were performed regarding quality of life; QoL-AD, EQ-VAS, sleep; MISS, nutrition; MNA, cognition; S -MMSE (ADL) and medication. Comparative statistical analyses were applied. Results: After intervention with weighted blankets, health in general, such as QoL, improved. Sleep also improved significantly, especially with respect to waking up during the night. Nutrition was enhanced, health as a cognitive ability improved, and medication in the psychoanaleptic group decreased. The effect size varied between small and large. Conclusions: A weighted blanket seems to be an effective and safe intervention for older people in nursing homes, as several improvements were made regarding the health of older people.
Comparative Transcriptomic Analysis of Root and Leaf Transcript Profiles Reveals the Coordinated Mechanisms in Response to Salinity Stress in Common Vetch

Owing to its strong environmental suitability to adverse abiotic stress conditions, common vetch (Vicia sativa) is grown worldwide for both forage and green manure purposes and is an important protein source for human consumption and livestock feed. The germination of common vetch seeds and growth of seedlings are severely affected by salinity stress, and the response of common vetch to salinity stress at the molecular level is still poorly understood. In this study, we report the first comparative transcriptomic analysis of the leaves and roots of common vetch under salinity stress. A total of 6361 differentially expressed genes were identified in leaves and roots. In the roots, the stress response was dominated by genes involved in peroxidase activity. However, the genes in leaves focused mainly on Ca2+ transport. Overexpression of six salinity-inducible transcription factors in yeast further confirmed their biological functions in the salinity stress response. Our study provides the most comprehensive transcriptomic analysis of common vetch leaf and root responses to salinity stress. Our findings broaden the knowledge of the common and distinct intrinsic molecular mechanisms within the leaves and roots of common vetch and could help to develop common vetch cultivars with high salinity tolerance.
Compact Lyα-emitting Candidates at z ≃ 2.4 in Deep Medium-Band Hubble Space Telescope WFPC2 Images

Medium-band imaging with Hubble Space Telescope (HST) Wide Field Planetary Camera 2 (WFPC2) in the F410M filter has previously revealed a population of compact Lyα emission objects around the radio galaxy 53W002 at z ≃ 2.4. We report detections of similar objects at z ≃ 2.4 in random, high-latitude HST parallel observations of three additional fields, lending support to the idea that they constitute a widespread population at these redshifts. The three new fields contain 18 Lyα candidates, in contrast to the 17 detected in the deeper exposure of the single WFPC2 field around 53W002. We find substantial differences in the number of candidates from field to field, suggesting that significant large-scale structure is already present in the galaxy distribution at this cosmic epoch. The likely existence of z ≃ 2.4 subgalactic clumps in several random fields shows that these objects may have been common in the early universe and strengthens the argument that such objects may be responsible for the formation of a fraction of the luminous present-day galaxies through hierarchical merging.
Bayesian estimation for the Tukey GH distribution with an application

Tukey GH is a transformed normal distribution, having two parameters (g,h). The g parameter represents skew measuring, and the h represents kurtosis measuring. Our motivation is to affect these parameters on the behavior for a simulation data and real data, such as the Iraqi stock market Index (ISX60) and the Standard and Poor’s (SP500) index using the Bayesian framework. Then, our aim is to find the estimation for the parameters in this distribution using empirical and parametric Bayesian methods, and study the effective on the simulation and real data. The simulation study will be shown the behavior of the parameters with a different number of sampling and prior distributions. We will use the real data from ISX60 and SP500 index.
Space-Based Thermal Infrared Studies of Asteroids

Large-area surveys operating at mid-infrared wavelengths have proven to be a valuable means of discovering and characterizing minor planets. Through the use of radiometric models, it is possible to derive physical properties such as diameters, albedos, and thermal inertia for large numbers of objects. Modern detector array technology has resulted in a significant improvement in spatial resolution and sensitivity compared with previous generations of space-based infrared telescopes, giving rise to a commensurate increase in the number of objects that have been observed at these wavelengths. Space-based infrared surveys of asteroids therefore offer an effective means of rapidly gathering information about small body populations' orbital and physical properties. The AKARI, WISE/NEOWISE, Spitzer, and Herschel missions have significantly increased the number of minor planets with well-determined diameters and albedos.
The diagnosis of COVID-19 in CT images using hybrid machine learning approaches (CNN & SVM)

The new coronavirus disease (2019) has spread quickly as an acute respiratory distress syndrome (ARDS) among millions of individuals worldwide. Furthermore, the number of COVID-19 checking obtainable in hospitals is very limited as compared to the rising number of infections every day. As an outcome, an automatic detection system must be implemented as a quick diagnostic tool for preventing or reducing the spread of COVID-19 among humans. The present paper aims to propose an automated system by means of a hybrid Deep Learning ("convolutional neural network "(CNN)) and "support vector machine (SVM) " approach for identifying COVID-19 pneumonia-infected patients on the basis of chest computed tomography (746 CT images of "COVID-19" and "non-COVID-19"). The proposed system is composed of three phases. The first, pre-processing phase begins with converting CT images into greyscale level CT images of equal size (256×256). The "contrast limited adaptive histogram equalization" technology is adopted to enhance the intensity levels, and demonstrate the feature of lung tissue. It is also necessary to normalize the division of the image elements by 255 to make the values between 0 and 1, as this will speed up the processing process. The second phase, the CNN (SimpNet model), was applied as a deep feature extraction technique to identify CT samples. The SVM classifier and SoftMax function are employed in the third phase to classify COVID-19 pneumonia-infected patients. Specificity, Sensitivity, "F-score ", Accuracy, and "area under curve" are used as criteria to estimate the efficiency of the classification. The results showed a high accuracy rate of COVID-19 classification which reached (98%) and (99.1%) for CNN-SoftMax and CNN-SVM classifier, respectively in the tested dataset (225 CT images). © The Author 2022. This work is licensed under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) that allows others to share and adapt the material for any purpose (even commercially), in any medium with an acknowledgement of the work's authorship and initial publication in this journal.
The Role of Job Training in Improving Employee Performance

This type of research is descriptive research with a quantitative approach with a questionnaire method. The purpose of this study was to determine the effect of each independent variable, namely training instructors, trainees, training materials, training methods, training objectives and training environment on the work performance of employees. The data analysis technique used is multiple linear regression analysis, based on the partial test of training instructor variables, training materials, training methods, training objectives and training environment there is a positive and significant influence on employee performance while the trainee variable has no significant effect on job performance. employee. Simultaneously (Test F) the training instructor, trainee, training materials, training methods, training objectives and training environment there is a positive and significant influence on employee performance.
A Wideband High-Gain Microstrip Array Antenna Integrated with Frequency-Selective Surface for Sub-6 GHz 5G Applications

This paper presents a wideband and high-gain rectangular microstrip array antenna with a new frequency-selective surface (FSS) designed as a reflector for the sub-6 5G applications. The proposed antenna is designed to meet the US Federal Communications Commission (FCC) standard for 5G in the mid-band (3.5–5 GHz) applications. The designed antenna configuration consists of 1 × 4 rectangular microstrip array antenna with an FSS reflector to produce a semi-stable high radiation gain. The modeled FSS delivered a wide stopband transmission coefficient from 3.3 to 5.6 GHz and promised a linearly declining phase over the mid-band frequencies. An equivalent circuit (EC) model is additionally performed to verify the transmission coefficient of the proposed FSS structure for wideband signal propagation. A low-cost FR-4 substrate material was used to fabricate the antenna prototype. The proposed wideband array antenna with an FSS reflector attained a bandwidth of 2.3 GHz within the operating frequency range of 3.5–5.8 GHz, with a fractional bandwidth of 51.12%. A high gain of 12.4 dBi was obtained at 4.1 GHz with an improvement of 4.4 dBi compared to the antenna alone. The gain variation was only 1.0 dBi during the entire mid-band. The total dimension of the fabricated antenna prototype is 10.32 λo × 4.25 λo ×1.295 λo at a resonance frequency of 4.5 GHz. These results make the presented antenna appropriate for 5G sub-6 GHz applications.
Employees’ Entrepreneurial Dreams and Turnover Intention to Start-Up: The Moderating Role of Job Embeddedness

Many people have entrepreneurial dreams in mind, yet existing research has neglected to focus on this phenomenon. This paper introduces the concept of entrepreneurial dreams, constructs a model of the relationship between entrepreneurial dreams and turnover intention to start-up, based on identity theory and prospect theory, and empirically analyses the mechanism of the effect of entrepreneurial dreams on turnover intention to start-up. Through the analysis of data from two multi-provincial and multi-wave employee studies (Study 1 N = 198, Study 2 N = 227), the findings show that: (1) employees’ entrepreneurial dreams positively influence turnover intention to start-up; (2) employees’ entrepreneurial dreams can stimulate employees’ sense of entrepreneurial self-efficacy, thus positively influencing turnover intention to start-up; (3) job embeddedness plays a moderating role in the relationship between entrepreneurial self-efficacy and turnover intention to start-up, specifically, the higher the degree of job embeddedness, the weaker the effect of entrepreneurial self-efficacy on turnover intention to start-up; (4) job embeddedness moderates the indirect effect of entrepreneurial dreams on turnover intention to start-up through entrepreneurial self-efficacy, specifically, the higher the degree of job embeddedness, the weaker the indirect effect of entrepreneurial dreams on turnover intention to start-up through entrepreneurial self-efficacy. This study reveals the mediating role of employees’ entrepreneurial self-efficacy and the moderating role of job embeddedness in the influence of entrepreneurial dreams on employees’ turnover intention to start-up, which provides theoretical and practical references for relevant organizations.
EFFECT OF PHOSPHORUS FERTILIZATION ON SILAGE QUALITY OF PERSIAN CLOVER (TRIFOLIUM RESUPINATUM L.)

The aim of the research was to determine the effect of phosphorus fertilization (0, 30, 45, 60, 75 and 90 kg ha-1) on silage yield and quality traits of Persian clover (Trifolium resupinatum L.). The experiment was conducted at Yoruk village of Malkara-Tekirdag with three replications in randomized block design in 2021. Silage yield (t ha-1), dry matter (%), crude protein (%), crude ash (%), acid detergent fiber (ADF, %), neutral detergent fiber (NDF, %), P (%), K (%), Ca (%), Mg (%), digestible dry matter (DDM, %), dry matter intake (DMI, %), relative feed value (RFV), total digestible nutrients (TDN), net energy-lactation (NEl), net energy-maintenance (NEm), net energy-gain (NEg) and flieg score were determined. Silage yield, dry matter, pH, crude protein, ADF, NDF, P, Mg, DDM, DMI, RFV, TDN, NEg and Flieg Score were determined statistically significant at P˂0.01. The highest silage yield (72.83 t ha-1) and ADF ratio (25.36 %) were obtained from 30 kg P ha-1. The highest dry matter (39.92 %), DDM (70.30 %), DMI (3.22 %) RFV (175.056) and TDN (68.90) were found at application of 90 kg P ha-1. The highest flieg score was determined at application of 60 kg P ha-1. The highest crude protein (15.50-15.51 %) was found at application of 45 and 60 kg P ha-1.
Effect of Occupational Stress on Pharmacists’ Job Satisfaction in Saudi Arabia

Work stress occurs when employees have to deal with pressures that do not align with their skills, knowledge, or expectations. This study aimed to assess the impact of work stress on job satisfaction among pharmacists in Saudi Arabia. Therefore, a cross-sectional, self-administered, paper-based survey was conducted between August 2019 and October 2020 using three scales. Descriptive and analytical statistical analyses were performed. A linear regression analysis was used to determine the relationship between occupational stress and job satisfaction among Saudi pharmacists. A total of 284 questionnaires were completed. Multiple linear regression analyses showed a significant negative relationship between occupational stress and job satisfaction (β = −0.456, 95% CI, −0.561 to −0.350), a positive relationship between confirmation and satisfaction (β = 0.147, 95% CI, 0.005 to –0.290), and a negative relationship between working in hospitals and job satisfaction (β= −3.009; 95% CI, −5.424 to −0.593) when other variables were kept constant. The results of this study indicated that occupational stress and satisfaction negatively influenced pharmacists, whereas confirmation was associated with better satisfaction. Moreover, hospital pharmacists had lower job satisfaction. The job satisfaction of pharmacists may help improve medication safety and ensure an adequate pharmacist workforce.
Shape optimization of trusses subject to strength, displacement, and frequency constraints.

Abstract : Three-dimensional trusses are designed for minimum weight, subject to constraints on: member stresses, Euler buckling, joint displacements and system natural frequencies. Multiple static load conditions are considered. The finite element displacement method of analysis is used and eigenvalues are calculated using the subspace iteration technique. All gradient information is calculated analytically. The design problem is cast as a multi-level numerical optimization problem. The joint coordinates are treated as system variables. For each proposed configuration, the member sizes are updated as a sub-optimization problem. This sub-problem is efficiently solved using approximation concepts in the reciprocal variable space. The multi-level approach is shown to be an effective technique which conveniently takes advantage of the most efficient methods available for the member sizing problem. Examples are presented to demonstrate the method. The optimum configuration is shown to be strongly dependent on the constraints which are imposed on the design. (Author)
Using signalling theory to assess the Government of Ghana’s risk communication during the COVID-19 pandemic

Background The proliferation of information through social media and on other communication networks during the corona virus disease 2019 (COVID-19) era altered information transfer in many countries. The content of the messages from government officials, media coverage and alternative narratives, affected the level of compliance in adhering to the various health protocols amongst the public. Aim This article aimed to determine the relationship between the message used, media coverage, alternative narratives, the public’s attitude towards staying at home and their commitment to stay at home during the COVID-19 pandemic campaign period in Ghana. Setting A total of 352 respondents was sampled from the Kumasi metropolis. Methods A survey sample strategy and a convenience sampling technique were used while structural equation modelling with Partial least square (PLS) version 3.0 was used for the analysis. Results The study revealed that the nature of media coverage employed and the alternative narratives had a significant positive effect on the attitude of the respondents, whilst the content of the message had insignificant effects on the attitude of the public. Finally, the attitude of the people had a significant positive influence on their respective commitment to stay home. Conclusion Developing countries in Africa need to fight pandemics using purely subsidised health officials or directorates rather than have government-appointed health experts and officials spearheading activities during a pandemic. Contribution This study contributes to the clear understanding on some COVID-19 misinformation, the distinctive cost it poses to public health delivery in developing economies and the potential strategy of using neutral public health persons to curb the spread of the virus.
Impacts of COVID-19 Travel Restriction Policies on the Traffic Quality of the National and Provincial Trunk Highway Network: A Case Study of Shaanxi Province

According to recent research, the COVID-19 pandemic has impacted road traffic quality. This study aims to analyze the impacts of COVID-19 travel restriction policies on the traffic quality of the national and provincial trunk highway network (NPTHN) in Shaanxi Province. We collected the traffic data of the NPTHN for three consecutive years (from 2019 to 2021), before and after the COVID-19 outbreak, including weekly average daily traffic, weekly traffic interruption times, weekly traffic control time, weekly traffic accidents, weekly traffic injuries, and weekly traffic deaths. Using descriptive statistics and dynamic analysis methods, we studied the safety and service levels of the NPTHN. We set up an assessment model of the NPTHN operational orderliness through dissipative structure theory and entropy theory to study the operational orderliness of the NPTHN. Results show that in 2020, the service level, safety level, and operational orderliness of the NPTHN dropped to the lowest levels. The pandemic was gradually brought under control, and the travel restriction policies were gradually reduced and lifted. The adverse impacts on the operational orderliness of the NPTHN decreased, but the operational orderliness did not yet recover to the pre-pandemic level. Meanwhile, the service and safety levels of the NPTHN did not recover. Taken together, the COVID-19 travel restriction policies had adverse impacts on the traffic quality of the NPTHN in Shaanxi Province.