Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of Interspace Distraction on Fusion and Clinical Outcomes in Anterior Cervical Discectomy and Fusion: A Longitudinal Cohort Study

Study Design Longitudinal cohort study. Purpose To determine the effect of change in interspace height on fusion and postoperative neck pain. Overview of Literature The optimal height of a cervical interbody device (cage) in anterior cervical discectomy and fusion (ACDF) is not well defined. In addition, the effect of interspace distraction on fusion and postoperative neck pain remains unclear. Methods We retrospectively reviewed the charts of consecutive patients who underwent one- or two-level ACDF using polyetheretherketone cages by multiple surgeons from January 2015 to June 2016. We excluded patients younger than 18 years old, patients who had prior surgery at the same level (s), those with two-stage procedures, and those with less than 3 months of follow-up. Fusion was determined using the “Song” criteria. Ordinal regression was used to determine predictors of fusion. Patient-reported outcomes (PRO) were analyzed. Results We identified 323 consecutive patients. Twenty-two patients met the exclusion criteria. A total of 435 operative levels were included in the 301 remaining patients. Interspace fusion did not significantly vary by increasing interspace height with fusion rates between 76.2% and 82.8% at a mean follow-up of 17.9±12.6 months. The effect of an increase in interspace height and neck pain PRO was available for 163 patients who underwent one-level ACDF at a mean follow-up period of 16.2±13.1 months. We found no significant difference in fusion rate or neck pain score with increasing interspace height from 1 to 8 mm. Ordinal regression demonstrated no significant predictors of fusion. Conclusions Interspace distraction from 1 to 8 mm did not result in significantly different pseudarthrosis rates or postoperative neck pain.
Exposing vertebral artery from lateral to medial under the guide of peri-vertebral artery fat pad in far lateral approach

Far lateral approach (FLA), together with its modified University to perform this retrospective study (No.2021approaches, is a fundamental surgical approach for surgical resection of lesions located at the ventral or ventrolateral side of the foramen magnum. The key procedure in FLA is exposing the vertebral artery (VA) especially the V3 segment. When performing an FLA, most neurosurgeons choose to expose the suboccipital triangle (formed by the rectus capitis posterior major, the superior oblique, and the inferior oblique) as a key anatomical landmark initially and then expose the V3 segment. However, on the one hand, this muscular anatomical landmarks-suboccipital triangle varies in depth, morphology, and location in different patients, which increases the risk of VA injury during surgery. On the other hand, this procedure could lead to exposing difficulty due to the obstruction of overlying layers of muscles and the distribution of blood vessels, which could prolong the time for craniotomy fairly. The course of VA could vary, such as looping backward and bulge posteriorly between the lips of the suboccipital triangle, where it could be damaged if one expects it to be found in the depth of the suboccipital triangle. Thus, neurosurgeons have the potential for VA injury and a rather prolonged time to successfully expose VA.
Genome-Wide Identification and Characterization of the Soybean DEAD-Box Gene Family and Expression Response to Rhizobia

DEAD-box proteins are a large family of RNA helicases that play important roles in almost all cellular RNA processes in model plants. However, little is known about this family of proteins in crops such as soybean. Here, we identified 80 DEAD-box family genes in the Glycine max (soybean) genome. These DEAD-box genes were distributed on 19 chromosomes, and some genes were clustered together. The majority of DEAD-box family proteins were highly conserved in Arabidopsis and soybean, but Glyma.08G231300 and Glyma.14G115100 were specific to soybean. The promoters of these DEAD-box genes share cis-acting elements involved in plant responses to MeJA, salicylic acid (SA), low temperature and biotic as well as abiotic stresses; interestingly, half of the genes contain nodulation-related cis elements in their promoters. Microarray data analysis revealed that the DEAD-box genes were differentially expressed in the root and nodule. Notably, 31 genes were induced by rhizobia and/or were highly expressed in the nodule. Real-time quantitative PCR analysis validated the expression patterns of some DEAD-box genes, and among them, Glyma.08G231300 and Glyma.14G115100 were induced by rhizobia in root hair. Thus, we provide a comprehensive view of the DEAD-box family genes in soybean and highlight the crucial role of these genes in symbiotic nodulation.
Perception of quality of university education service in times of Covid- 19

The objective of the present work was to determine the level of perception of the quality of university educational service in times of Covid- 19 in a university in Lima. The applied method corresponds to the quantitative approach, under the basic design with a descriptive level. The sample consisted of 125 students chosen by convenience, non-probability sampling. The technique used was the survey and the collection instrument was the questionnaire, it also had an expert validation and the SPSS Statistics 27 software was used for data processing, the instrument used was the SERVQUAL of Parasuraman et al. (1988), where five dimensions of the Service Quality variable are identified, which were identified as: Tangibility, reliability, responsiveness, security and empathy. The results confirm the importance of the quality of services in the educational field, since it is verified that the perception of students regarding the quality of educational services is good and significant.
A DSGE Decision Model for Investigating the LPR Transmission Effect

In August 2019, People's Bank of China launched the reform of Loan Prime Rate (LPR) quotation formation mechanism and then made continuous progress in the order of “new loans first, followed by exiting loans,” dredging the interest rate transmission channel of “policy interest rate, LPR, loan interest rate. ” In 2020, Chinese financial institutions have mainly referred to LPR pricing for loans, and the marketization level of loan pricing has significantly improved. This paper analyzed the policy effects transmitted by LPR through constructing a Dynamic Stochastic General Equilibrium (DSGE) decision model, and it was found that the financial market structure, pricing ability of commercial banks, and the degree of LPR application all affected the policy rate transmission effect and had an impulse impact on macroeconomic growth. Based on the above analysis, this paper proposed policy suggestions on the path of interest rate market-oriented reform and coping measures of commercial banks in China.
Serendipitous Internal Wave Signals in Deep Argo Data

Serendipitous measurements of deep internal wave signatures are evident in oscillatory variations around the background descent rates reported by one model of Deep Argo float. For the 10,045 profiles analyzed here, the average root‐mean‐square of vertical velocity variances, 〈w′2〉 $\sqrt{\langle {w}^{\prime 2}\rangle }$ , from 1,000 m to the seafloor, is 0.0045 m s−1, with a 5%–95% range of 0.0028–0.0067 m s−1. Dominant vertical wavelengths, λz, estimated from the integrals of lagged autocorrelation sequences have an average value of 757 m, with a 5%–95% range of 493–1,108 m. Both 〈w′2〉 $\sqrt{\langle {w}^{\prime 2}\rangle }$ and λz exhibit regional variations among and within some deep ocean basins, with generally larger 〈w′2〉 $\sqrt{\langle {w}^{\prime 2}\rangle }$ and shorter λz in regions of rougher bathymetry or stronger deep currents. These correlations are both expected, since larger 〈w′2〉 $\sqrt{\langle {w}^{\prime 2}\rangle }$ and shorter λz should be found near internal wave generation regions.
A compact dual band MIMO antenna for 5G/WLAN applications

Abstract To satisfy the increasing requirements of wireless communication, a compact dual band MIMO antenna is presented in this paper. The presented antenna consists of two symmetric radiating elements operating at both 3.5 and 4.5 GHz bands. To enhance the isolation between the two radiating elements, an I-shaped decoupling structure is introduced. The measured −10 dB reflection coefficients frequency bands are 3.3–3.8 and 4.3–5.8 GHz. The measured isolation S21 between the two radiating elements are better than 15 and 17 dB at the lower and higher frequency band, respectively. The overall dimension of the proposed antenna is 50 × 22 × 1.59 mm3. The measured result indicates that the proposed antenna can be a good candidate for 5 G/WLAN wireless communication.
The impact of healthcare board characteristics on NHS trust performance

IMPACT This article provides insights for NHS foundation trusts (FTs) that have adopted, or are planning to adopt, changes to their boards’ style and structure to improve their governance and performance. Results revealed that, to improve performance, FTs should try to minimize turnover on the board of directors; improve attendance at board meetings; and increase the number of non-executive directors on the board. Further, increasing clinical expertise on the board would benefit financial performance and produce a better Care Quality Commission (CQC) score. Such implications are also relevant to other healthcare settings which have similar institutional setups, particularly those in Europe.
EVALUATION APPROACHES OF VIBRATION-MODE UNCOUPLING FOR MULTI-DOF RIGID-BODY WITH ELASTIC MOUNTING SYSTEM

The evaluation of vibration-mode uncoupling degree is a fundamental issue for vibration isolation design of multi-degree-of-freedom rigid-body-elastic-mounting system.Three conventional evaluation approaches,i.e.,the coupling-stiffness-based method,the vibration-mode-shape-vector-based method and the kinetic-energy-distribution-based method,are analyzed,and the deficiencies of conventional methods are pointed out.Using the concepts of the work which is done by the generalized inertia forces or by the spring rebound forces,the kinetic-energy-distribution-based method is modified to a modal-work-index-based method.The modified method is clearer in physical concept and is consistent in units for evaluation quantities,the modal-work is an appropriate measure to decouple the rigid mode and is applicable to vibration systems with different types of generalized coordinates,such as translational and rotational displacements.The modified method is an effective remedy and extension to the kinetic-energy-distribution-based method.Two examples are illustrated to exhibit the efficiency of the newly raised measure and its precision of the physical concepts.
Inflammatory Stress Induced by Intraperitoneal Injection of LPS Increases Phoenixin Expression and Activity in Distinct Rat Brain Nuclei

Due to phoenixin’s role in restraint stress and glucocorticoid stress, as well as its recently shown effects on the inflammasome, we aimed to investigate the effects of lipopolysaccharide (LPS)-induced inflammatory stress on the activity of brain nuclei-expressing phoenixin. Male Sprague Dawley rats (n = 6/group) were intraperitoneally injected with either LPS or control (saline). Brains were processed for c-Fos and phoenixin immunohistochemistry and the resulting slides were evaluated using ImageJ software. c-Fos was counted and phoenixin was evaluated using densitometry. LPS stress significantly increased c-Fos expression in the central amygdaloid nucleus (CeM, 7.2-fold), supraoptic nucleus (SON, 34.8 ± 17.3 vs. 0.0 ± 0.0), arcuate nucleus (Arc, 4.9-fold), raphe pallidus (RPa, 5.1-fold), bed nucleus of the stria terminalis (BSt, 5.9-fold), dorsal motor nucleus of the vagus nerve (DMN, 89-fold), and medial part of the nucleus of the solitary tract (mNTS, 121-fold) compared to the control-injected group (p < 0.05). Phoenixin expression also significantly increased in the CeM (1.2-fold), SON (1.5-fold), RPa (1.3-fold), DMN (1.3-fold), and mNTS (1.9-fold, p < 0.05), leading to a positive correlation between c-Fos and phoenixin in the RPa, BSt, and mNTS (p < 0.05). In conclusion, LPS stress induces a significant increase in activity in phoenixin immunoreactive brain nuclei that is distinctively different from restraint stress.
Influential Women in the Field of Neurological Rehabilitation: A Literature Review

Background: Medicine requires the brightest minds, regardless of gender. Women working in the health sciences have time and again demonstrated the value of their technical training, communication skills, emotional support, and ability to provide understandable explanations to their patients. The objective of this work was to carry out a historical review of the main female authors linked to classic sensorimotor neurorehabilitation techniques throughout the nineteenth and twentieth centuries, as well as female authors linked to eponymous tests or assessments, exposing their scientific trajectory and main contributions to the field of neurological rehabilitation. A literature review was conducted. The databases of Physiotherapy Evidence Database (PEDro), Scopus, CINAHL Medical Science, Medline through EBSCO and PubMed were used to obtain the biographical information of each author, searches of papers were limited until August 2021 in English and Spanish languages. Seventeen female authors were identified who linked to the main rehabilitation techniques or approaches described for neurological rehabilitation and for scales or tests with an eponymous origin as an example of female contribution on neurorehabilitation. Biographical information based on the computerized search in the electronic databases showed 57 potentially relevant articles. Of those articles, 43 were subsequently excluded. Fourteen articles were used to show their contribution to neurorehabilitation. This paper demonstrates the influential role of women in the history of sensorimotor neurorehabilitation throughout the nineteenth and twentieth centuries, linked to the methods, techniques, concepts, or approaches used in physical therapy or occupational therapy.
RN..

This work aims to understand the impacts of the influence of the regional metropolises, Fortaleza (CE) and Recife (PE), in the State of Rio Grande do Norte. To understand this polarization, the studies 'Region of Influence of Cities (REGICs)' of the Brazilian Institute of Geography and Statistics (IBGE) in the editions from 1967 to 2007 were taken as a basis. These documents evidenced that polarization, that is, a force of attraction divides the State of Rio Grande do Norte, into two areas, each one being influenced by a different metropolis. To understand this fact theoretically, several authors were studied, among which we highlight Moreira (1979), Andrade (1987), Furtado (2003), in a broad literature that involves, among others, the theories of development, which thus allowed to characterize the research as bibliographic, analyzing also secondary data. It was noticed that this phenomenon is extensive within the period under study and that polarization made the region divided by the influence of two different capitals at the same time: Fortaleza, in Ceara and Recife, in Pernambuco which portrays a situation of opportunities in different geographic spaces.
Inverse design nanorod hyperbolic metamaterial by transformer

Recently, deep learning methods have revolutionized the design of nanophotonic devices, which provides a new way to efficiently design nanophotonic devices. Here, we demonstrated a deep learning method using attention mechanisms to inverse design nanophotonic devices, the mean relative error of the predicted value can be as low as 4.1% or less. Using the encoder part of Transformer, the long sequence of spectral data can be mapped to the structural parameters of the nanorod hyperbolic metamaterial. The inverse design model based on the attention mechanisms is good at processing sequence data and can be calculated in parallel, which is an effective way to design nanophotonic devices.
Effects of transport time and feeding type on weight loss, meat quality and behavior of broilers

Objective The purpose of this study is to determine the optimal time of transportation of floor-feed and scatter-feed broilers. Methods Eighty healthy Arbor Acres (AA) broilers (21-day-old, 624.4 g, male, standard error = 6.65) were selected and randomly divided into two experimental groups (floor-feed and scatter-feed), then fed for three weeks. The experiment comprised a 2×4 factorial design with 2 feed patterns (floor-feed and scatter-feed) and 4 transport periods (2, 3, 4, and 5 h), and 4 replicates of 5 broilers (54-day-old, 2243 g, standard error = 46.65) was used to compare weight loss, meat quality and behavior index of different groups. Results It appeared that drip loss, meat color and resting behavior of experimental broilers changed as length of transportation (p<0.05), however, weight loss and pH were not significantly transformed (p>0.05). Compared with floor-feed group, broilers in scatter-feed group had lower pH at 24 hours (3 h) and different behavioral indicators (p<0.05). Especially indicators after 3 h transportation, there were obvious differences between the two feeding modes in the behavior reaction of stress events before slaughter with different transport duration (p<0.05). The fluctuation of data on resting behavior with scatter-feed was significantly higher than that of floor-feed broilers. There was no interaction between transport time and different feeding methods for index tested of our experiment (p>0.05). Conclusion Comprehensive analysis showed that the maximum transport duration of floor-feed and scatter-feed broilers should not exceed 3 h, and scatter-feed broilers were more likely prone to fear.
Mapping the Quality of Soft and Hard Skills of Industrial Internships Using Importance Performance Index and Customer Satisfaction Index

Industrial internships are a means for students to gain work experience while at the same time understanding the organizational environment and solving problems in the company/industry. This study aims to map the quality of soft skills and hard skills to the satisfaction of companies/industries where students carry out Industrial Internships, to get the results of mapping the quality of soft skills and hard skills the methods used are Importance-Performance Analysis (IPA) and Customer Satisfaction Index (CSI). The object of research used in this study is the population of Industrial Internship students in 2021, amounting to 110 students. The questions used in the questionnaire use a range of 1-7 where the company/industry conducts an assessment by filling out a statement question questionnaire where the distance is 3 months, the distance is the ideal distance for stakeholders in assessing the quality of students' soft skills and hard skills. The implication of the research results from the mapping of soft skills and hard skills of Industrial internships students is that the attributes contained in quadrant A consist of soft skills: self-confidence, motivation, and adaptability. And hard skills: Proficient in maintaining work tools, Learning Speed to use new work tools, and Ability to provide opinions, are attributes that need to be considered by the Department of Electronic Engineering to maintain company/industry trust to continue to accept the Industrial Internship program.
Model-Free Parallel Predictive Torque Control Based on Ultra-Local Model of Permanent Magnet Synchronous Machine

The finite control set model predictive torque control (FCS-MPTC) selects the optimal voltage vector (VV) by the composite cost function composed of torque and flux error, which makes it have a faster dynamic response than conventional control methods. However, the prediction state error caused by machine parameter mismatch and the difficulty in setting the weight factor in the composite cost function seriously restrict the popularization and application of FCS-MPTC. In this paper, a model-free parallel predictive torque control (MF-PPTC) based on an ultra-local (UL) model is proposed to solve above problems. The UL model replaces the machine mathematical model without any machine parameters and only uses the input and output of the system, which greatly improves the robustness of the control system. The nonlinear extended state observer proposed for the unknown part of the system has fast convergence and improves the dynamic performance of the system. In addition, the conventional parallel predictive control structure is optimized to reduce the dynamic adjustment process during the selection of optimal voltage vector. Simulation and experimental comparison between the conventional PPTC and the proposed MF-PPTC verified the superiority of the proposed method.
Recurrent NEAT Assisted 2D-DOA Estimation with Reduced Complexity for Satellite Communication Systems

Direction-of-arrival (DOA) estimation plays a vital role in the field of array signal processing. However, the need for heavy computing tasks in most traditional DOA algorithms, e.g., multiple signal classification (MUSIC), makes their engineering practicality significantly compromised in satellite communication systems. The neuroevolution of augmenting topologies (NEAT) can quickly search for appropriate topologies and weights of neural network functions, but its computational complexity is still too high for satellite systems. This paper proposes a modified NEAT architecture featuring a recurrent structure (RNEAT) that only needs a small number of phase components of the received signal covariance matrix as inputs to reduce the complexity and simplify the neural network architecture. The proposed RNEAT incorporated with multiple signal classification (RNEAT-MUSIC) can be easy to achieve high resolution and low complexity simultaneously. Validation has been done by applying the proposed method in a two-dimensional direction of arrival estimation (2D-DOA) problem. Results show that the proposed RNEAT-MUSIC efficiently restricts the scanning region before forwarding the covariance matrix to the MUSIC stage. Consequently, the computational workload is reduced by 3/4 compared with the traditional 2D-MUSIC algorithm while maintaining good DoA resolution.
IoT Framework for Measurement and Precision Agriculture: Predicting the Crop Using Machine Learning Algorithms

IoT architectures facilitate us to generate data for large and remote agriculture areas and the same can be utilized for Crop predictions using this machine learning algorithm. Recommendations are based on the following N, P, K, pH, Temperature, Humidity, and Rainfall these attributes decide the crop to be recommended. The data set has 2200 instances and 8 attributes. Nearly 22 different crops are recommended for a different combination of 8 attributes. Using the supervised learning method, the optimum model is attained using selected machine learning algorithms in WEKA. The Machine learning algorithm selected for classifying is multilayer perceptron rules-based classifier JRip, and decision table classifier. The main objective of this case study is to end up with a model which predicts the high yield crop and precision agriculture. The proposed system modeling incorporates the trending technology, IoT, and Agriculture needy measurements. The performance assessed by the selected classifiers is 98.2273%, the Weighted average Receiver Operator Characteristics is 1 with the maximum time taken to build the model being 8.05 s.
Comparison of stability of gravity dams by Discontinuous Deformation Analysis and Finite Element Method

In this paper, an extension version of DDA is presented. The extension includes:i) DDA's loading vector computation of the water pressure and the lift pressure; ii) a code of local and global coefficients of factor safety against sliding calculation. By the extended methods of DDA, the stability of gravity dam along any possible sliding plane can be calculated. By the calculation results of an example, a new method for determining both the local and global coefficients of factor safety for the stability of gravity dam is presented in this paper.