Miracle-dz/UniFAR-FTUs huggingface dataset:
Sound velocities of olivine at high pressures and temperatures and the composition of Earth's upper mantle

We present the elastic properties of San Carlos olivine up to P = 12.8(8) GPa and T = 1300(200) K using Brillouin spectroscopy with CO2 laser heating. A comparison of our results with the global seismic model AK135 yields average olivine content near 410 km depth of about 37% and 43% in a dry and wet (1.9 wt % H2O) upper mantle, respectively. These olivine contents are far less than in the pyrolite model. However, comparisons of our results with regional seismic models lead to very different conclusions. High olivine contents of up to 87% are implied by seismic models of the western U.S. and eastern Pacific regions. In contrast, we infer less than 35% olivine under the central Pacific. Strong variations of olivine content and upper mantle lithologies near the 410 km discontinuity are suggested by regional seismic models.
Performance of Overall Gain in the Network by Varying Antenna Transmission Power with the Different Pause Time

The characteristic of changing topology without a fixed infrastructure and lacking of any centralization is mobile adhoc networking (MANET). The communication between mobile nodes uses multihop wireless links. In the network; nodes act as router and forwarding data packets to other nodes behaving as intermediate node. Routing protocols plays an important role to facilitate communication within the network. In this paper we have compared different transmission power by varying antenna height. Simulation results shown in AODV routing protocol in term of the metrics: Throughput, Average end to end delay, Average jitter. The results are showing various changes due to change in the selected parameters, which are performance parameters of the network.
A Mobile–Based Application for Enhance the Knowledge of Kindergarten Children

This proposal outlines the development of a mobile application aimed at enhancing the learning capabilities of Sri Lankan kindergarteners. Through the improvement of early writing and speaking skills, emotion recognition, and personalized memory assessments, the application seeks to identify and address learning gaps in young children. The application's core focus includes four key components: refining writing skills through guided practice, empowering parents to identify and track their child's weaknesses and progress, enabling accurate pronunciation practice and tracking, and promoting emotional awareness by identifying and reflecting emotions through music. Additionally, the app offers tailored memory assessments via a mobile game, catering to individual learning needs and fostering cognitive growth. Extensive research, collaboration with educators, psychologists, and parents, as well as usability testing, contribute to the app's effectiveness and user-friendliness. By providing personalized learning experiences, the mobile application has the potential to significantly enhance educational outcomes for Sri Lankan children, equipping them with essential skills in writing, speaking, emotional intelligence, and memory retention.
Study of soil organic carbon on current jhum and jhum fallows from Rawpuichhip, Mamit District

Jhum cultivation commonly known as shifting cultivation is the main form of agricultural practice in Mizoram. This gradually causes changes in the physico-chemical properties of soil. The study of soil organic carbon on current jhum and jhum fallows intends to find out the impact of jhum cultivation on soil organic carbon in relation to the period of jhum fallows. Soil samples were collected in triplicates from four different sites seasonally i.e. thrice in a year. The study was conducted within Rawpuichhip, Mamit i.e., Current Jhum, J and Jhum Fallows (which is categorized into two sites; Short fallow, SF - 2 to 5 years and Long fallow, LF - more than 8 years) and undisturbed area (adjacent forest) during the year 2022. Soil samples were collected in triplicates from three different depths 0-10 cm, 10-20cm, and 20-30cm with the help of a soil corer. It was found from the study that Soil Organic Carbon (SOC) value ranges from 1.21±0.17 % - 2.38±0.10 %. The results indicate that among the study area, short fallow has the least amount of SOC while current Jhum and the undisturbed area tend to have higher concentrations of SOC
Understanding the Determinants of Student Burnout in Blended Learning Environments

The negative phenomenon of student burnout, which may result in a considerably poor experience and low achievement, has drawn much attention in education and psychology. However, knowledge is scarce regarding the determinations of student burnout in blended learning environments. Accordingly, this study developed and validated a predictive model that explains the role of social support and self-regulated learning in predicting student burnout in blended learning environments. A comparative method using the Partial Least Squares Structural Equation Modelling (PLS-SEM) and machine learning algorithms was employed to validate the proposed model based on data gathered from 303 students. The PLS results demonstrated the negative role of perceived social support and self-regulated learning in alleviating burnout and the fully mediating role of self-regulated learning in the relationship between offline received social support and student burnout. Further, the applied algorithms predicted student burnout with an accuracy of more than 70% in most cases. The evidence from these findings provides the instructors and developers of courses in higher educational institutions with best practices to prevent and alleviate student burnout in blended learning.
Analysis of Video Recording System using FUZZY ARAS

In this Paper Additional rate estimate Advanced FUZZY ARAS system Expansion, Freight Delivery Solve feedback selection issue Created. Proposed implementing the method to illustrate, Czech Republic Joined tire manufacturing company Take a case study Is taken. However, proposed film Vague ARAS method Generic and no other Can also be used by the company. The novel picture is vague to check the ARAS method, existing nine Blurring of sophisticated images many criteria Comparison with decision-making methods Analysis is provided. Competitive market, changing Technology, politics and Such as the social environment Important Issues Employee Important role in the exam play. This and the present of the company will determine the future as well is an important task. Many decisions made to predict accurately or Cannot be estimated. Proposed approach information Includes merger, It is crisp and fuzzy Expressed in both variables Consider the information Lets take. In this study, two Obscure algorithms, type-1Ambiguous algorithm with configured connectors and an innovative Attitude Interval Type-2With adaptive connectors Obscure algorithm with Are non-linear modeling for functions are used in the application. In these algorithms Parameter connectors as ambiguous operators Purpose of use, optimization Computer during operation Professional knowledge of to lose or distort Should not. Video Association Mining (VAM) Is given Contacts in the video is the diagnostic process. We are taken this, TPF, TPT, FPS, Video resolutions, Pixels are Alternatives of Table. Evaluation Maritime scenes, Squash tournament, Handball match, Cricket, Football parameter. Football is in this paper we used FUZZY ARAS for ranking the FUZZY ARAS method is the most ideal solution Short-distance and Alternative The solution with the longest distance from the solution Determines, but the comparison of these distances Does not consider importance. Maritime scenes, Squash tournament, Handball match, Cricket, Football Evaluation Parameters in Depression Loneliness Life Satisfaction TPF, TPT, FPS, Video resolutions, Pixels Use Attention deficit from the result it is seen that Handball match is got the first rank whereas is the Cricket is having the Lowest rank.
Cooperative NOMA for Simultaneous Uplink and Downlink Transmission

In this paper, a cooperative non-orthogonal multiple access (NOMA) network is considered, where a strong user (SU) serves as a relay to provide the connection between the base station (BS) and a weak user (WU). A simultaneous uplink and downlink transmission strategy is designed to support the bidirectional communications between BS and users. The analytical expression of the ergodic sum rate (ESR) and its scaling law are derived to evaluate the performance of the proposed strategy. It proves that the proposed strategy can achieve an ESR scaling of $\log_{2}\rho$, achieving $\frac{1}{2}\log_{2}\rho$ scaling gain compared with the conventional cooperative NOMA, and $\frac{1}{3}\log_{2}\rho$ scaling gain than the cooperative orthogonal multiple access and the three-phase cooperative NOMA, where $\rho$ is the transmit signal-to-noise ratio. Finally, simulation results are presented to show the superiority of our design.
Reliability of Manual Measurements Versus Semiautomated Software for Glenoid Bone Loss Quantification in Patients With Anterior Shoulder Instability

Background: The presence of glenoid bone defects is indicative in the choice of treatment for patients with anterior shoulder instability. In contrast to traditional linear- and area-based measurements, techniques such as the consideration of glenoid concavity have been proposed and validated. Purpose: To compare the reliability of linear (1-dimensional [1D]), area (2-dimensional [2D]), and concavity (3-dimensional [3D]) measurements to quantify glenoid bone loss performed manually and to analyze how automated measurements affect reliability. Study Design: Cohort study (diagnosis); Level of evidence, 3. Methods: Computed tomography images of 100 patients treated for anterior shoulder instability with differently sized glenoid defects were evaluated independently by 2 orthopaedic surgeons manually using conventional software (OsiriX; Pixmeo) as well as automatically with a dedicated prototype software program (ImFusion Suite; ImFusion). Parameters obtained included 1D (defect diameter, best-fit circle diameter), 2D (defect area, best-fit circle area), and 3D (bony shoulder stability ratio) measurements. Mean values and reliability as expressed by the intraclass correlation coefficient [ICC]) were compared between the manual and automated measurements. Results: When manually obtained, the measurements showed almost perfect agreement for 1D parameters (ICC = 0.83), substantial agreement for 2D parameters (ICC = 0.79), and moderate agreement for the 3D parameter (ICC = 0.48). When measurements were aided by automated software, the agreement between raters was almost perfect for all parameters (ICC = 0.90 for 1D, 2D, and 3D). There was a significant difference in mean values between manually versus automatically obtained measurements for 1D, 2D, and 3D parameters (P < .001 for all). Conclusion: While more advanced measurement techniques that take glenoid concavity into account are more accurate in determining the biomechanical relevance of glenoid bone loss, our study showed that the reliability of manually performed, more complex measurements was moderate.
Intestinal Dysbiosis in Subjects with Obesity from Western Mexico and Its Association with a Proinflammatory Profile and Disturbances of Folate (B9) and Carbohydrate Metabolism

Obesity is a public health problem with a growing prevalence worldwide. In Mexico, it is estimated that one out of three adults suffer from obesity. In these patients, the intestinal microbiota (IM) undergoes pathological changes that are associated with a dysbiotic state; however, the microbiota profile of adult subjects with obesity from western Mexico has not been described. To assess this, fecal samples were obtained from 65 participants (Obese = 38; Control = 27). The microbial composition was characterized by 16S rRNA amplicon sequencing. The IM of the group with obesity revealed a clear decrease in richness and diversity (p < 0.001), as well as a significant increase in proinflammatory bacterial groups, mainly genera belonging to the Negativicutes class, Escherichia/Shigella, and Prevotella. Likewise, an increase in short-chain fatty acid-producing bacteria was found, especially the genus Lachnoclostridium. Additionally, PICRUSt2 analysis showed a depletion of vitamin B9 metabolism and an increase in saccharolytic pathways. The IM of patients with obesity possesses a dysbiotic, proinflammatory environment, possibly contributing to lipogenesis and adiposity. Thus, assessing the IM will allow for a better understanding of the pathophysiology of metabolic diseases of high prevalence, such as obesity. These findings are described for the first time in the adult population of western Mexico.
Validation of a New Digital and Automated Color Perception Test

Although color vision deficiencies are very prevalent, there are no ideal methods for assessing color vision in all environments. We compared a new digital and automated method that quantifies color perception for the three protan, deutan, and tritan axes with two of the most commonly used color tests in daily practice: the Ishihara 38 plates test and the Farnsworth–Munsell 100-Hue test. One hundred patients underwent a triple examination composed of the new DIVE Color Test, the Ishihara test, and the Farnsworth–Munsell 100-Hue test. The DIVE Color Test was performed twice in forty participants to assess its repeatability. In the trichromatic group, the mean age stood at 20.57 ± 9.22 years compared with 25.99 ± 15.86 years in the dyschromatic group. The DIVE and Ishihara tests exhibited excellent agreement in identifying participants with color deficiency (Cohen’s kappa = 1.00), while it was 0.81 when comparing DIVE and Farnsworth. The correlation between the global perception values of Farnsworth (TES) and DIVE (GCS) was 0.80. The repeatability of the DIVE Color Test was high according to Bland–Altman analysis with an intraclass correlation coefficient of 0.83. According to Ishihara, the DIVE Color Test proved to be an effective and reproducible tool for red–green color vision deficiency detection, capable of determining the severity of the defect in each of the three axes faster and more accurately than both Ishihara and Farnsworth.
Deep Learning-Based SNR Estimation with Covariance Input

Signal-to-noise ratio (SNR) is an important indicator for evaluating the quality of the received signals in wireless communication systems and its estimation plays an important role in demodulation and decoding processing. In this paper, we propose an SNR estimation method combining deep learning and covariance matrix (CM). In the method, CM is used as the input of a convolutional nueral network (CNN) to reduce the compuational complexity. We compare our proposed method with other SNR estimate methods, including classical estimation methods and existing deep learning-based approaches. Results show that our proposed method performs the best in low to medium SNR range in terms of estimation accuracy. In high SNR range, it acheives comparable performance with existing deep learning-based estimation methods. More importantly, our proposed method has far lower computational complexity than existing deep learning-based SNR estimation methods.
How to survive the mutational meltdown: lessons from plant RNA viruses

Muller’s ratchet refers to the irreversible accumulation of deleterious mutations in small populations, resulting in a decline in overall ﬁtness. This phenomenon has been extensively observed in experiments involving microorganisms, including bacteriophages and yeast. While the impact of Muller’s ratchet on viruses has been largely studied in bacteriophages and animal RNA viruses, its eﬀects on plant RNA viruses remain poorly documented. Plant RNA viruses give rise to large and diverse populations that undergo significant bottlenecks during the colonization of distant tissues or through vector-mediated horizontal transmission. In this study, we aim to investigate the role of bottleneck size, the maximum population size between consecutive bottlenecks
Impact of Ownership Concentration on the operating Performance of Pakistani Firms Abstract Author

In this research, we scrutinize the affect of ownership structure on company performance. The relationship between ownership structure and performance has always been the area under discussion in the literature of corporate finance. The discussion on this area was started with the thesis of Berle and Means (1932). They argued that defuse ownership is inversely correlated with performance of a company. Most of the earlier studies found a positive relation among ownership concentration and firm’s performance (Cubin and Leech 1983, Short 1994). Literature suggested that the Objective of the concentrated ownership is to enjoy the incentives of monitoring (Shleifer and Vishny, 1997). Therefore the firms that are related to high class technology based or involver intensive R&D have defused ownership structure because in these types of firms outside monitoring is very much difficult (Zeckhauser and Pound, 1990). According to Shleifer and Vishny (1997) there is a tradeoff when an investor invests a large share in one firm. On one side ownership concentration has the incentives of monitoring while on the other side it increases the portfolio risk so. On the same way Demsetz (1983) stated that ownership is an endogenous outcome of cost and benefits of ownership. In support of this Demsetz and Lehn (1985) empirically proved that there is no relation between ownership structure and firm’s performance. In consistent with Demsetz and Lehn (1985), McConnell and Servaes (1990) found no impact of ownership concentration on firm’s performance by taking Tobin’s Q as a measure of performance but they empirically proved that institutional ownership is positively correlated with firm’s performance. Lloyd, Hand and Modani(1987) examined that the companies with concentrated ownership have higher company market value to sales ratio. Nesbitt (1994), Smith (1996) also found the results consistent with McConnell and Servaes (1990) they found institutional ownership positively influence the firm performance. Aghion and Tirole (1997) showed the different picture they stated that concentrated ownership increases the monitoring which may reduces the manger’s initiative. So in this way ownership could be adversely affect the firm’s performance. On the same pattern Burkart et al. (1997) argued that excessive monitoring and interference by the share holder could be costly because it may decrease the manager’s initiative. Another argument has been given by Shleifer and Vishny (1997) they stated that large share holder may try to serve their own interest instead of firm’s Impact of Ownership Concentration on the operating Performance of Pakistani Firms
Daily cycle of sea-level atmospheric pressure around 30°S over the Chilean coast

Seven stations at intervals of one degree of latitude and spread around latitude 30 S along the west coast of South America were operated for a year recording mean surface pressure every 15 minutes. Daily and semi-daily components were obtained for each month. The semi-daily component behaves according to theory of atmospheric tides and global observations. The amplitude of the daily component varies with season but it does not change much with latitude. However, its phase exhibits a substantial variation across parallel 30 with implications on mesoscale ageostrophic divergence and the observed daily cycle of local winds.
Systematic review and meta-analysis of cardiac neurosis for development of clinical practice guidelines of Korean medicine

Background The development of clinical practice guidelines in traditional medicine requires evidence that sufficiently reflects the medical field. Cardiac neurosis is a disease that occurs because of problems in the autonomic nervous system and is characterized by symptoms of the circulatory system that are representative of autonomic dysfunction. In traditional medicine, the heart is considered to be involved in mental health problems, and cardiac neurosis is accompanied by a variety of mental symptoms. Furthermore, there is a categorized diagnosis for cardiac neurosis, and active empirical research is being conducted in China. Objective This study aimed to systematically review and quantitatively synthesize the effects of Korean medicine treatments in patients with cardiac neurosis to develop evidence-based clinical practice guidelines for the treatment of autonomic dysfunction. Methods Nine databases were searched for articles published before September 13, 2022. The methodological quality of the studies was assessed using the RoB tool. The primary outcomes were somatization, depression, anxiety, and effectiveness rate. The secondary outcome was the rate of adverse effects. Results Based on a systematic literature review, 151 randomized controlled trials were selected and analyzed. For patients with cardiac neurosis, herbal medicine, combined treatment of herbal medicine and Western medicine, combined treatment of herbal medicine and acupuncture, acupuncture, and combined treatment of acupuncture and Western medicine showed better overall effects than Western medicine alone. Furthermore, the combined treatment of herbal medicine and psychotherapy and that of herbal medicine, psychotherapy, and Western medicine showed an overall better effect than the combined treatment of Western medicine and psychotherapy. Conclusion A meta-analysis of articles revealed the effectiveness of Korean medicine treatments and verified the effectiveness of a Korean medicine treatment alone, Korean medicine combined treatment, and combined treatment of Korean medicine and Western medicine on cardiac neurosis. Limitations included the inability to verify the cause of high heterogeneity between studies and the poor quality of the included studies. Nevertheless, this systematic review and meta-analysis of cardiac neurosis showed that the disease concept of traditional medicine can also be organized based on the latest research. Future research related to traditional diseases such as these should be conducted. Systematic review registration https://www.crd. york.ac. uk/prospero/display_record. php? ID=CRD42022347992, identifier CRD42022347992.
Genomic epidemiology and evolution of rhinovirus in western Washington State, 2021-22

Background: Human rhinoviruses (RV) primarily cause the common cold, but infection outcomes vary from subclinical to severe cases, including asthma exacerbations and fatal pneumonia in immunocompromised individuals. To date, therapeutic strategies have been hindered by the high diversity of serotypes. Global surveillance efforts have traditionally focused on sequencing VP1 or VP2/VP4 genetic regions, leaving gaps in understanding RV true genomic diversity. Methods: We sequenced 1,003 RV genomes from nasal swabs of symptomatic and asymptomatic individuals to explore viral evolution during two epidemiologically distinct periods in Washington State: when the COVID 19 pandemic affected the circulation of other seasonal respiratory viruses except for RV (from February to July 2021), and when the seasonal viruses reemerged with the severe RSV and influenza outbreak (November and December 2022). We constructed maximum likelihood and BEAST phylodynamic trees to characterize intra-genotype evolution. Results: We detected 100 of 168 known genotypes, identified two new genotypes (A111 and C59), and observed inter-genotypic recombination and genotype cluster swapping from 2021 to 2022. We found a significant association between the presence of symptoms and viral load, but not with RV species or genotype. Phylodynamic trees, polyprotein selection pressure, and Shannon diversity revealed co-circulation of divergent clades within genotypes with high amino acid constraints throughout polyprotein. Discussion: Our study underscores the dynamic nature of RV genomic epidemiology within a localized geographic region, as more than 20% of existing genotypes within each RV species co-circulated each month. Our findings also emphasize the importance of investigating correlations between rhinovirus genotypes and serotypes to understand long-term immunity and cross-protection.