Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlation Between Lung Injury Score, PvO 2 /FiO 2 Ratio and Oxidative Stress Markers in Tracheal Aspirate Samples in Intubated Infant Patients During Chest Physical Therapy

Background: Pneumonia presents high oxidative stress, which directly affects the lung injury and oxygenation status. Evidence has shown the correlation of oxidative stress markers in tracheal aspirates (TA) in infant patients, however, not before or after chest physical therapy (CPT). Objectives: The objective of this study was to evaluate the correlation between lung injury score (LIS) or PvO2/FiO2 ratio and oxidative stress parameters in TA before and after CPT in infant patients during recovery from pneumonia. Methods: TA samples from 40 intubated patients aged 5.4 ± 0.15 months were collected before and after CPT for evaluating oxidative stress parameters; as a glutathione (GSH), vitamin E, hyarulonic acid (HA), and malondialdehyde (MDA). Furthermore, the LIS and PvO2/FiO2 ratio were recorded. The correlation between oxidative stress markers and LIS or PvO2/FiO2 ratio was evaluated before and after CPT. Results: The results before CPT showed no significant correlation between LIS and all parameters, whereas, the PvO2/FiO2 ratio correlated with the thiol group (r = -0.566, P = 0.000) and HA (r = -0.507, P = 0.000). After CPT, LIS correlated with GSH and HA (r = -0.396 and -0.409, P = 0.01) and the PvO2/FiO2 ratio correlated significantly with the GSH, HA, and MDA (r = 0.609, 0.768, -0.482, P = 0.000). Conclusions: Some oxidative stress markers, such as the GSH, HA, and MDA in TA possibly reflected lung injury and oxygenation and may respond with more correlation after CPT intervention than before it.
A Novel Communication System of High Capacity

An objective of this article is to design a novel communication system that is capable of offering substantial improvement in channel capacity compared to band-limited (BL) communication systems, when constrained by the same spectral mask. To this end, this article has two contributions. The first contribution is theoretical. It derives the capacity of a time-limited (TL) system across a mask-constrained channel contaminated by interference and by additive white Gaussian noise, where doubling the channel capacity requires only a fixed multiple increase in average received signal-to-noise ratio (SNR). This is in contrast with BL systems, which require a geometric multiple increase in SNR. The second contribution is practical. It takes advantage of the theory established in the first objective to design a novel TL system. This article shows several designs of the novel system for a centralized multiple access (MA) wireless network, which outperform current MA networks by an order of magnitude, including one design that is shown to meet future 5G specifications without requiring mm-wave bands.
One stage bilateral total hip arthroplasty in Indian patients

There are few studies which investigate peri-operative safety and surgical outcome of one stage bilateral total hip arthroplasty. Avascular necrosis of hip is the most common indication for total hip arthroplasty which is frequently bilateral. In present study, we studied 30 patients who were operated with one stage bilateral total hip arthroplasty. Most of them (93%) were suffering from avascular necrosis of hip. We analysed intra-operative blood loss, peri-operative blood transfusion requirement, length of hospital stay and peri-operative complications for the aforesaid patients. All patients were followed up for a period of 6 months post-operatively to determine functional outcome using harris hip score. We concluded that one stage bilateral total hip arthroplasty is safe and efficacious treatment modality for our patients. This study also demonstrates brisk rehabilitation in patients operated with single stage bilateral total hip arthroplasty.
Development of Data Exchange Technology for Autonomous Robots Using a Self-Organizing Overlay Network

There have been formulated operating principles for a self-organizing overlay network TwilightNet with zero configuration, as a basis for data exchange in a group of autonomous robots. The description of the main network components is given, such as packet structure, principles of collecting global network state. Data exchange software, which is supposed to comply with the principles of this network operation, has also been developed. Experimental testing has been conducted for applying the proposed decentralized overlay network to data exchange in multiagent robot systems.
Switch-Based Low Intermediate Frequency System of a Vital Sign Radar for Simultaneous Multitarget and Multidirectional Detection

This paper proposes a radio frequency (RF) switch-based radar system for simultaneously detecting multitarget and multidirectional vital signs. Compared with traditional continuous wave (CW) radars that encounter mixed and distorted phases due to multiple reflections, frequency modulation CW (FMCW) radars have a suitable range resolution and relatively simple system architecture. Moreover, FMCW radars have the inherent capabilities of conducting multiple target monitoring and providing distance information. Based on our proposed algorithm, the vital signs of two targets at different distances from the antenna can be detected simultaneously even closely separated within the resolution bin limitation by simply using the proposed algorithm upon an FMCW radar to extract the vital signs separately. Moreover, instead of using multiple radar systems, a single transceiver can detect the vital signs from multiple directions and multiple targets by adding an RF switch as a multiplexer. This RF switch provides the mixing function. Therefore, a low intermediate frequency (IF) architecture was proposed by using the proposed RF switch-based radar system. This architecture simultaneously conducts multidirectional vital sign detection; thus, the signal-to-noise ratio (SNR) can be improved by appropriately selecting the IF value to reduce the flicker noise. The heart rate (HR) demodulation in a baseband is also challenging due to the low SNR and the respiratory rate (RR) harmonic for FMCW vital sign radars. Therefore, we applied an ensemble empirical mode decomposition algorithm to extract the intrinsic mode functions of RR and HR. Experimental results revealed that the proposed algorithm can significantly improve the SNR and accuracy. The vital sign errors of detecting multiple targets are less than 3% on average.
Employee Volunteering: Does Giving Your Time Give You Better Wellbeing

Employee volunteering is a prosocial act associated with positive outcomes for the beneficiaries, the company and the individual volunteer. Research repeatedly demonstrates a positive relationship with wellbeing amongst volunteers, whether it be in one’s own time or through work. The main aim of this research was to investigate if employee volunteers have higher levels of subjective wellbeing than their non-volunteering colleagues. It was predicted that employee volunteers would have higher levels of wellbeing than non volunteers. The research also predicted that satisfaction of the three basic psychological needs of autonomy, competence and relatedness, would mediate the relationship between employee volunteering and subjective wellbeing. Participants were recruited from a large telecommunications company and online through social media, using a convenience, snowball sampling technique. A Mann-Whitney U test was completed between the employee volunteer condition (N=43) and the employee non-volunteer condition (N=43) to examine the differences in subjective wellbeing (SWB) using the Satisfaction with Life Scale and the Scale of Negative and Positive Experience (SPANE). No significant difference was found in SWB between the two conditions. A hierarchical regression analysis was completed to investigate the predictive nature of the three basic psychological needs, controlling for age, gender, education and job level. Only needs satisfaction of competence was a unique significant predictor of SWB amongst employee volunteers. This finding suggests that employees were able to apply and learn new skills through volunteering, resulting in a feeling of competence. Ways to enhance employee volunteering initiatives so they might lead to greater needs satisfaction and wellbeing are discussed.
Topological Descriptors Help Predict Guest Adsorption in Nanoporous Materials

Machine learning has emerged as an attractive alternative to experiments and simulations for predicting material properties. Usually, such an approach relies on specific domain knowledge for feature design: each learning target requires careful selection of features that an expert recognizes as important for the specific task. The major drawback of this approach is that computation of only a few structural features has been implemented so far, and it is difficult to tell a priori which features are important for a particular application. The latter problem has been empirically observed for predictors of guest uptake in nanoporous materials: local and global porosity features become dominant descriptors at low and high pressures, respectively. We investigate a feature representation of materials using tools from topological data analysis. Specifically, we use persistent homology to describe the geometry of nanoporous materials at various scales. We combine our topological descriptor with traditional structural features and investigate the relative importance of each to the prediction tasks. We demonstrate an application of this feature representation by predicting methane adsorption in zeolites, for pressures in the range of 1-200 bar. Our results not only show a considerable improvement compared to the baseline, but they also highlight that topological features capture information complementary to the structural features: this is especially important for the adsorption at low pressure, a task particularly difficult for the traditional features. Furthermore, by investigation of the importance of individual topological features in the adsorption model, we are able to pinpoint the location of the pores that correlate best to adsorption at different pressure, contributing to our atom-level understanding of structure-property relationships.
A hybrid approach to compute seismic travel times in three‐dimensional tetrahedral meshes

We propose an optimized method to compute travel times for seismic inversion problems. It is a hybrid method combining several approaches to deal with travel time computation accuracy in unstructured meshes based on tetrahedral elementary cells. As in the linear travel time interpolation method, the proposed approach computes travel times using seismic ray paths. The method operates in two sequential steps: At a first stage, travel times are computed for all nodes of the mesh using a modified version of the shortest path method. The difference with the standard version is that additional secondary nodes (called tertiary nodes) are added temporarily around seismic sources in order to improve accuracy with a reasonable increase in computational cost. During the second step, the steepest travel time gradient method is used to trace back ray paths for each source–receiver pair. Travel times at each receiver are then recomputed using slowness values at the intersection points between the ray path and the traversed cells. A number of numerical tests with an array of different velocity models, mesh resolutions and mesh topologies have been carried out. These tests showed that an average relative error in the order of 0.1% can be achieved at a computational cost that is suitable for travel time inversion.
Synchronous 3-D Imaging and Velocity Estimation of Underwater Targets Using Pulse-Pair Acoustical Imaging Technique

Velocity, position, and geometry are key parameters for sonar applications in underwater target detection, classification, and tracking. Current underwater 3-D acoustical imaging techniques can provide much more geometric details of the underwater targets by high-resolution acoustic images. However, they cannot conduct target velocity estimations simultaneously. Kinematic information (i.e., Doppler shifts) of the targets has been lost during imaging since these techniques are essentially developed for obtaining static images. Therefore, this article proposes a “pulse-pair” acoustical imaging (PPAI) technique to acquire geometry, velocity, and distance information of underwater targets simultaneously in a single ping. Instead of transmitting a single pulse to collect echoes from the underwater environment like the conventional acoustical imaging techniques, a “pulse-pair” transmission scheme is proposed to realize 3-D underwater imaging in the PPAI method. The radial velocities of underwater targets are estimated in all target-existing volumetric cells by a pulse-pair autocorrelation method. Considering that a pulse-pair transmission should cause duplication and a mixture of the original image (image blurring), a deconvolution algorithm is adopted to correct the mixed image. The performance of the proposed method is evaluated with a high-resolution 3-D PPAI prototype in a simulation underwater 3-D scenario. Simulation results show that 3-D geometry and velocity features, as well as distances of underwater targets, can be effectively acquired in a single ping with the proposed method. It is significant for sonar applications to avoid possible changes in target features over time due to the relatively long propagation time of sound.
Small-Signal Modeling and Analysis of MMC Under Unbalanced Grid Conditions Based on Linear Time-Periodic (LTP) Method

As in grid-tied Modular Multilevel Converters (MMC), the steady-state operation under asymmetric grid conditions is rather general, especially for the overhead line of the AC network. Therefore, the small-signal dynamics of MMC under unbalanced grid conditions have become a great important research topic. In this paper, the inherent periodic time-varying characteristic of MMC's original relationships is given priority consideration. Based on the linear time-periodic (LTP) method, a general small-signal LTP model under unbalanced grid conditions is built considering the internal dynamic of submodules (SMs). Then based on the eigenvalue locus analysis method from Floquet- Lyapunov theory, the effects of controller parameters and interactions between different controllers on small-signal dynamics are studied, respectively. Finally, the results from the detailed nonlinear MMC model are provided to verify the effectiveness of the proposed analysis.
Spatial accessibility distribution characteristics and influencing factors of the tourism poverty alleviation key villages in Wuling Mountain area, Hubei Province

: In the context of rural revitalization and poverty alleviation through tourism proposed by the state, in order to give play to the driving role of tourism transportation in regional development, it is important to provide a theoretical basis for the construction of key villages for poverty alleviation through tourism and the acceleration of regional poverty alleviation. Taking 258 tourism poverty alleviation key villages of in the Wuling Mountain area of Hubei Province as research samples, this study used the raster cost- weighted distance algorithm and the geographically weighted regression (GWR) model to explore the spatial differences in the accessibility of tourism transportation and the influence degree and direction of the influencing factors. The results show that: In the Wuling Mountain area, the average time to reach the tourism poverty alleviation key villages is 1.82 hours, the overall regional accessibility is relatively poor, and the travel cost is high. Factors affecting the accessibility of tourism poverty alleviation key villages in both the natural and social dimensions were extracted. The order of the impact of each influencing factor in the region is as follows: shortest path from the nearest county and city > elevation > tourism resource endowment in the surrounding area > shortest distance from a river > shortest distance from the surrounding scenic spot > slope. The shortest distance from a river and surrounding tourism resource endowment are negatively correlated with the cost of access, while other factors are positively correlated with the cost of access. The unit change of the shortest distance from the surrounding scenic spot and the slope value has relatively insignificant influence on the spatial difference of access cost.
PENGARUH BUDAYA ORGANISASI DAN KEPUASAN KERJA TERHADAP KINERJA KARYAWAN DENGAN KOMITMEN ORGANISASI SEBAGAI VARIABEL INTERVENING

Organizational culture, job satisfaction and organizational commitment in a company or organization are variables that are thought to be relatively significant in influencing the performance of Springfield School Cibubur employees. In order to prove the presence or absence of the influence of organizational culture and job satisfaction on performance with organizational commitment as an intervening variable, research was conducted with the aim of analyzing the presence of influence of these three variables on the performance of Springfield School Cibubur employees. The study was conducted at Springfield Cibubur school by taking saturated samples from the whole employee population excluding researcher. The questionnaire was distributed to 59 respondents with returned rate of 100%. Margin of error of 5% is used for the research. The study produced 5 main findings as follows: (1)Organizational culture has influence on performance of Springfield School Cibubur employees; (2) Job satisfaction has no influence on performance of Springfield School Cibubur employees; (3) Organizational culture has influence on organizational commitment of Springfield School Cibubur employees; (4) Job satisfaction has no influence on organizational commitment of Springfield School Cibubur employees; (5) Organizational commitment has no influence on performance of Springfield School Cibubur employees. Keywords: organizational culture, job satisfaction, organizational commitment, employee performance. ABSTRAK Budaya organisasi, kepuasan kerja dan komitmen organisasi dalam suatu perusahaan atau organisasi merupakan variabel yang diduga relatif signifikan mempengaruhi kinerja karyawan sekolah Springfield Cibubur. Untuk membuktikan ada atau tidaknya pengaruh budaya organisasi dan kepuasan kerja terhadap kinerja dengan komitmen organisasi sebagai variabel intervening, maka dilakukan penelitian dengan tujuan untuk menganalisa adanya pengaruh dari ketiga variabel tersebut terhadap kinerja karyawan pada sekolah Springfield Cibubur. Penelitian dilakukan di sekolah Springfield Cibubur dengan pengambilan sampel jenuh terhadap seluruh populasi karyawan, dengan tidak mengikutsertakan peneliti. Kuesioner diberikan kepada 59 responden dengan tingkat pengembalian 100%. Untuk penelitian ini digunakan margin of error 5%. Penelitian menghasilkan 5 temuan utama sebagai berikut : (1) Budaya organisasi berpengaruh terhadap kinerja karyawan sekolah Springfield Cibubur; (2) Kepuasan kerja tidak berpengaruh terhadap kinerja karyawan sekolah Springfield Cibubur; (3) Budaya organisasi berpengaruh terhadap komitmen organisasi karyawan sekolah Springfield Cibubur; (4) Kepuasan kerja tidak berpengaruh terhadap komitmen organisasi karyawan sekolah Springfield Cibubur; (5) Komitmen organisasi tidak berpengaruh terhadap kinerja karyawan sekolah Springfield Cibubur. Kata kunci: Budaya organisasi, kepuasan kerja, komitmen organisasi, kinerja karyawan.
Effects of longleaf pine planting density and other factors on stand structure and associated wildlife habitat

The primary objective of many longleaf pine (Pinus palustris) restoration programs is to enhance or restore habitat for wildlife dependent on herbaceous plant communities. Because herbaceous cover is inversely related to canopy cover, restoration programs often place restrictions on longleaf pine planting density. However, the influence of planting density on understory plant communities has been inadequately evaluated. Therefore, we initiated a study to examine the relative influences of planting density and other factors on overall understory composition and forage availability for white‐tailed deer (Odocoileus virginianus) and northern bobwhite (Colinus virginianus) in nine longleaf pine stands throughout the Coastal Plain of Alabama during 2017–2018. We found that coverage of herbaceous plants decreased 3.5%, coverage of woody plants decreased 2.4%, and coverage of northern bobwhite forage plants decreased 1.9% for each 1 m2/ha increase in longleaf pine basal area. However, planting density was not a significant predictor of current basal area, nor coverage of any functional group of plants we examined, likely because current longleaf pine density averaged only 46% (range = 30–64%) of seedling planting density. We did not detect an effect of prescribed fire on stand condition or understory plant communities, likely due to variability in fire timing and frequency. Our findings related to planting density were likely a function of low longleaf pine survival, which is not uncommon. Because of this and the inherent variability in growth rates for young longleaf pine stands, restoration programs should consider placing greater emphasis on post‐planting monitoring and management than planting density.
Modeling spatial nonstationary and overdispersed crash data: Development and comparative analysis of global and geographically weighted regression models applied to macrolevel injury crash data

Abstract There is a wide body of research, especially in developed countries case studies, conducted to quantify safety impacts of transportation strategies. These models can be broadly divided into global and local types. Contrary to consistency assumption of global parameters, parameters’ variation over the space, which stems from heterogeneity, can be considered by the local models. Geographically weighted regression (GWR) is a proper technique which is employed to locally estimate the parameters. Geographically weighted Poisson regression (GWPR) is one of the most prevailing count models to be exercised in transportation safety planning. Overdispersion as another consequence of heterogeneity, however, is not addressed by GWPR. Therefore, this study is centered on three targets. First, crash models are developed in a developing country case study. Second, overdispersed and spatial nonstationary data is scrutinized by applying and investigating the performance of geographically weighted negative binomial regression with two aspects of global and spatially varying overdispersion parameters (i.e., GWNBRg and GWNBR). Also, the explanatory performance and prediction accuracy are compared with GWPR, traditional Poisson and negative binomial regressions as two widely used classes of the global models. Finally, the fluctuating safety effects of spatial-unit-related variables at the macrolevel are examined. To this end, geographically coded data on injury crashes, road characteristics, socioeconomic and demographic factors, public transit and land use were collected for 253 traffic zones as the macrolevel spatial units from Mashhad city. The findings indicated that GWR family outperforms traditional regressions in capturing spatial heterogeneity when goodness of fit criteria is compared. Also, GWNBR revealed better performance in terms of AICc and lesser sensitivity to extreme values by developing smoother kernel function of geographical weights. Based on our findings, however, GWNBRs cannot predict other data sets as well as GWPR and researchers are recommended to use GWPR rather than GWNBR. The results also demonstrated that major arterials, ramps, number of intersections, bus stops and employees as well as commercial, residential, and agricultural land uses have considerable impact on injury crashes. In addition, implications regarding the detection of multicollinearity among explanatory variables based on condition index were noted.