Miracle-dz/UniFAR-FTUs huggingface dataset:
A systematic review and meta-analysis of health utility values among patients with ischemic stroke

Purpose Ischemic stroke (IS) has a considerable impact on the health-related quality of life (HRQoL) of patients. A systematic review was conducted to summarize and synthesize the HRQoL reported from IS patients. Methods An electronic search was performed in PubMed, Web of Science, ScienceDirect, Embase, and Cochrane Library databases from inception to February 2022 for studies measuring utility values in IS patients. Basic information about the studies, patient characteristics, measurement of the utility values, and utility values were extracted and summarized. Utility values were pooled according to the time of evaluation, and disease severity was classified with modified Rankin Scale (mRS) scores. The quality of the studies was assessed according to key criteria recommended by the National Institute for Health and Care Excellence. Results A total of 39 studies comprising 30,853 participants were included in the study. Measured with EQ-5D-3L, the pooled utility values were 0.42 [95% confidential interval (CI): 0.13 to 0.71], 0.55 (95% CI: 0.43 to 0.68), 0.65 (95% CI: 0.52 to 0.78), 0.60 (95% CI: 0.43 to 0.78), and 0.67 (95% CI: 0.60 to 0.74) for patients diagnosed with IS within 1, 3, 6, 12, and 24 months or above among poststroke patients. Four studies reported utility values classified by mRS scores where synthesized estimates stratified by mRS scores ranged from 0.91 (95% CI: 0.85 to 0.97) for patients with an mRS score of 1 to−0.04 (95% CI:−0.18 to 0.11) for those with an mRS score of 5. As for the health dimension profiles, usual activity was the most impacted dimension, while self-care was the least impacted one. Conclusion This study indicated that the utility values in IS patients kept increasing from stroke onset and became relatively stabilized at 6 months poststroke. Health utility values decreased significantly as mRS scores increased. These results facilitate economic evaluations in utility retrieval and selection. Further exploration was required regarding the factors that affect the HRQoL of IS patients.
Sustainable Valorization of Chicken Feathers and Grocery Waste as Organic Fertilizer and its Impact on Yield and Quality of Spinach (Spinacia oleracea) Plant

ABSTRACT Overproduction of chicken feathers is responsible for serious environmental problems worldwide. The composition of feathers is keratin protein, which is resistant and difficult to monomerize. Utilization of feather waste for biogas and organic fertilizer production can help combat environmental threat and address energy and food shortage crisis. In this study, chicken feathers were hydrolyzed using the native isolated keratinolytic bacterial strain Pseudomonas aeruginosa-C1M. Reactor digestate, a by-product of the production of biogas from hydrolyzate and grocery waste, has been shown to be used as organic fertilizer. A greenhouse study was conducted to investigate the comparative effectiveness of reactor digestate and feather hydrolyzate on the growth of spinach plants. A remarkable increase in agronomic parameters was observed when applying keratin hydrolyzate based fertilizers. Plants treated with dry hydrolyzate showed a 50% increase in leaf width. The plant height, the number of leaves per plant, the root length, the chlorophyll content, the protein content, the biomass and the nutrient content of the spinach plant were also significantly improved by using fertilizers based on keratin hydrolyzate. However, the results using the Pseudomonas aeruginosa-C1M-derived hydrolyzate were more promising and therefore suggest its application as a potential biostimulant in the agricultural industry.
Development and Implementation of an Embedded Systems-Based Artificial Intelligence-Driven Music Teaching System for Vocational Colleges

When the continuous advancement for the brand-new courses is undergoing, teaching for music courses, from the outdated closed teaching to open teaching. From the traditional pure manual teaching method to the use of artificial intelligence technology to assist teaching. Based on artificial intelligence technology, this paper builds and practices the music teaching system in vocational colleges, and draws the following conclusions: The bottleneck of the music teaching system in vocational colleges is the network bandwidth ； In terms of music pitch extraction, the improved algorithm proposed in this paper has greatly improved the period, robustness and stability of the extracted signal compared with the traditional cepstrum method, and the periodic detection effect of pitch is obvious ； Using virtual reality technology to create a virtual music classroom algorithm, by comparing with the other three algorithms, it is good for it ； Compared with the P.563 method and the FDGSVM-based method under the ITU-T P. Supplement-23 Database, the music quality evaluation method studied in this paper improves the correlation coefficient with subjective evaluation and reduces the mean square error; Compared with the method based on FDGSVM, it has increased by 78.59%, but in terms of comprehensive performance, the improved method still has advantages and can effectively evaluate the quality of music.
THE EFFECT OF USING REVIEW STRATEGY TO IMPROVE STUDENTS’ WRITING SKILL AT SMAN 18 MAKASSAR

Yokmeam Tiranda. 2023. The Effect of Using Review Strategy To Improve Students’ Writing Skill At SMAN 18 Makassar. Skripsi English Language Education Study Program, Faculty of Teacher Training and Education, Bosowa University. Supervised by Restu Januarty Hamid and Ulfah Syam.This study aimed to know the effect of using review strategy to improve student writing skill at SMAN 18 Makassar. This study used pre-experimental research one group pre-test and post-test. The population in this study was students of class XI IPA SMAN 18 Makassar. The writer took one class from the target population for the research.The sample to be used is class XI IPA 3, the number of samples is 30 students. Data obtained from writing test. The result of this study used inferential analysis of the t-test by SPSS v.16, which showed a signficant effect on the students’ mean score writing skill between the pretest and post-test. The average score of the students’ writing enhanced from 55.10 in the pretest to 88.90 in the posttest. The significance value calculated 0.000 is smaller than 0.05 (P-value = 0.000 < 0.05). Thus, it can be concluded that the review strategy is effect applied to improve students’ writing skill at SMAN 18 Makassar.
Accuracy of Computerized Optical Impression Making in Fabrication of Removable Dentures for Partially Edentulous Jaws: An In Vivo Feasibility Study

The use of computerized optical impression making (COIM) for the fabrication of removable dentures for partially edentulous jaws is a rising trend in dental prosthetics. However, the accuracy of this method compared with that of traditional impression-making techniques remains uncertain. We therefore decided to evaluate the accuracy of COIM in the context of partially edentulous jaws in an in vivo setting. Twelve partially edentulous patients with different Kennedy classes underwent both a conventional impression (CI) and a computerized optical impression (COI) procedure. The CI was then digitized and compared with the COI data using 3D analysis software. Four different comparison situations were assessed: Whole Jaw (WJ), Mucosa with Residual Teeth (M_RT), Isolated Mucosa (IM), and Isolated Abutment Teeth (AT). Statistical analyses were conducted to evaluate group differences by quantifying the deviation values between the CIs and COIs. The mean deviations between the COIs and CIs varied significantly across the different comparison situations, with mucosal areas showing higher deviations than dental hard tissue. However, no statistically significant difference was found between the maxilla and mandible. Although COIM offers a no-pressure impression method that captures surfaces without irritation, it was found to capture mucosa less accurately than dental hard tissue. This discrepancy can likely be attributed to software algorithms that automatically filter out mobile tissues. Clinically, these findings suggest that caution is required when using COIM for prosthetics involving mucosal tissues as deviations could compromise the fit and longevity of the prosthetic appliance. Further research is warranted to assess the clinical relevance of these deviations.
Analysis of the Climate Stewardship Act

Resource and Environmental Strategies 2 This report is dedicated to the memory of Stephen Bernow, co-founder of Tellus Institute, inspiration and mentor to legions of energy and climate analysts around the world, exacting in rigor, generous in time and spirit, whose innovations in energy modeling and climate policy analysis leave a legacy for generations.
Socio-economic Impact of Farm Mechanization on the Regional Economy of South India: Case of Paddy Farmers of Trichy, Tamil Nadu

Farm mechanisation has a potential to improve the efficiency, productivity and cost-effective paddy cultivation while reducing the labour-intensive traditional methods which hinders timely farm operations. This study aims to analyse effect of farm mechanization on socio-economic condition of the farmers of Cauvery Delta Zone in Trichy district of Tamil Nadu. Based on the access to canal water, urbanisation and availability of non-farm opportunity, four blocks in Trichy district were selected. Two villages from each block were randomly selected. Fifty respondents from two villages and fifty-five respondents from two villages (total 210) randomly selected and data collected through personal interviews. Results revealed that majority of the paddy farmers (67%) with medium usage of machinery followed by (18%) of high level of utilization and (15%) with low level of utilization of machineries. In addition, the impact of mechanization studied under four components namely, crop specific, labour, social and economic impact and the results have clearly exhibited significant positive impact on paddy cultivators.
Carbon dioxide and water vapor production at rest and during exercise. A report on data collection for the Crew and Thermal Systems Division

The current environmental control device in the shuttle uses lithium hydroxide (LiOH) filter canisters to remove carbon dioxide (CO2) from the cabin air, requiring several bulky filter canisters that can only be used once and must be changed frequently. To alleviate a stowage problem and decrease launch weight, the Crew and Thermal Systems Division (CTSD) at the NASA Johnson Space Center has been researching a system to be used on future shuttle missions. This system uses two beds of solid amine material to absorb CO2 and water, later desorbing them to space vacuum. In this way the air scrubbing medium is regenerable and reusable. To identify the efficacy of this regenerable CO2 removal system (RCRS), CTSD began investigations in the shuttle mockup. The purpose of this investigation was to support the CTSD program by determining mean levels of carbon dioxide and water vapor production in normal, healthy males and females age-matched with the astronaut corps. Subjects' responses were measured at rest and during exercise at intensity levels equivalent to normal shuttle operation activities. The results were used to assess the adjustments made to RCRS and are reported as a reference for future investigations in shuttle environmental control.
Scene Graphs: A Review of Generations and Applications

—The scene graph is a structured representation of a scene that can clearly express the objects, attributes, and relationships between objects in the scene. As computer vision technology continues to develop, people are no longer satisﬁed with simply detecting and recognizing objects in images; instead, people look forward to a higher level of understanding and reasoning about visual scenes. For example, given an image, we want to not only detect and recognize objects in the image, but also know the relationship between objects (visual relationship detection), and generate a text description (image captioning) based on the image content. Alternatively, we might want the machine to tell us what the little girl in the image is doing (Visual Question Answering (VQA)), or even remove the dog from the image and ﬁnd similar images (image editing and retrieval), etc. These tasks require a higher level of understanding and reasoning for image vision tasks. The scene graph is just such a powerful tool for scene understanding. Therefore, scene graphs have attracted the attention of a large number of researchers, and related research is often cross-modal, complex, and rapidly developing. However, no relatively systematic survey of scene graphs exists at present. To this end, this survey conducts a comprehensive investigation of the current scene graph research. More speciﬁcally, we ﬁrst summarized the general deﬁnition of the scene graph, then conducted a comprehensive and systematic discussion on the generation method of the scene graph (SGG) and the SGG with the aid of prior knowledge. We then investigated the main applications of scene graphs and summarized the most commonly used datasets. Finally, we provide some insights into the future development of scene graphs. We believe this will be a very helpful foundation for future research on scene graphs.
Machine Learning‐Based New Earthquake Catalog Illuminates On‐Fault and Off‐Fault Seismicity Patterns at the Discovery Transform Fault, East Pacific Rise

Oceanic transform faults connect spreading centers and are imprinted with previous tectonic events. However, their tectonic interactions are not well understood due to limited observations. The Discovery transform fault system at 4°S, East Pacific Rise (EPR), represents a young transform system, offering a unique opportunity to study the interplay between faulting and other tectonic events at an early phases of an oceanic transform system. Discovery regularly hosts M5–6 characteristic earthquakes, and the seafloor north of Discovery includes a 35 km‐long rift zone that records a complex history of rifting, faulting and volcanism, suggesting that the transform faults likely interact with regional tectonic activity. We apply a machine‐learning enabled workflow to locate 21,391 earthquakes recorded during a 1‐year ocean bottom seismometer experiment in 2008. Our results indicate that seismicity on the western Discovery fault is separated into seven patches with distinct aseismic and seismic slip modes. Additionally, we observe a patch of off‐fault seismicity near where seafloor abyssal hills intersect the rift zone. This seismicity may have been caused by varying opening rates as spreading rate decreases from north to south in the rift zone. Our findings suggest that the Discovery system is still evolving, and that system equilibrium has not been reached between rifting and faulting. These results reflect the complex yet rarely observed interactions between fault slip, plate rotation, and rifting which are likely ubiquitous at oceanic transform systems.
Virtual reality to improve low-back pain and pelvic pain during pregnancy: a pilot RCT for a multicenter randomized controlled trial

A significant proportion of women experience low back and pelvic pain during and after pregnancy, which can negatively impact their daily lives. Various factors are attributed to these complaints, and many affected women do not receive adequate healthcare. However, there is evidence to support the use of different physiotherapeutic interventions to alleviate these conditions. Virtual reality is a promising complementary treatment to physiotherapy, particularly in improving pain perception and avoidance. The primary objective of this study is to evaluate the efficacy of a four-week program combining VR and physiotherapy compared to standard physiotherapy in pregnant women with low back and pelvic pain, in terms of improving pain avoidance, intensity, disability, and functional level. The study also aims to investigate patient satisfaction with the VR intervention. This research will be conducted through a multi-center randomized controlled clinical trial involving pregnant patients residing in the provinces of Seville and Malaga with a diagnosis of low back and pelvic pain during pregnancy. The alternative hypothesis is that the implementation of a Virtual Reality program in combination with standard physiotherapy will result in better clinical outcomes compared to the current standard intervention, which could lead to the development of new policies and interventions for these pathologies and their consequences. Clinical trial registration: clinicaltrials.gov, identifier NCT05571358.
Screen Space Ambient Occlusion

Ambient occlusion is a lighting model that approximates the amount of light reaching a point on a diffuse surface based on its directly visible occluders. It is commonly used to add a global illumination look to rendered images. This ambient occlusion algorithm operates on the depth buffer of the scene being rendered and associated per-pixel normals. For multiple directions defined in image space around the current pixel, the algorithm samples the depth buffer, computes a horizon angle for each sample, and integrates the ambient occlusion for the current direction based on the tangent plane, the horizon angle and a weighting function. This whitepaper includes a brief introduction to the algorithm and its parameters. For more details, please refer to [Bavoil and Sainz 08a] and [Bavoil and Sainz 08b].
Characteristics and Health Care Spending of Persistently and Transiently High-cost Older Adults in Korea

Objectives This study examined differences in health care spending and characteristics among older adults in Korea by high-cost status (persistently, transiently, and never high-cost). Methods We identified 1 364 119 older adults using data from the Korean National Insurance Claims Database for 2017–2019. Outcomes included average annual total health care spending and high-cost status for 2017–2019. Linear regression was used to estimate differences in the outcomes while adjusting for individual-level characteristics. Results Persistently and transiently high-cost older adults had higher health care spending than never high-cost older adults, but the difference in health care spending was greater among persistently high-cost older adults than among transiently high-cost older adults (US$20 437 vs. 5486). Despite demographic and socioeconomic differences between transiently high-cost and never high-cost older adults, the presence of comorbid conditions remained the most significant factor. However, there were no or small differences in the prevalence of comorbid conditions between persistently high-cost and transiently high-cost older adults. Rather, notable differences were observed in socioeconomic status, including disability and receipt of Medical Aid. Conclusions Medical risk factors contribute to high health care spending to some extent, but social risk factors may be a source of persistent high-cost status among older adults in Korea.
Cosmogenic activation calculation of experiments using liquid argon targets

Rare-event search experiments need extremely low backgrounds. The cosmogenic background of detector materials affects the sensitivity of the experiments, so its estimation before the detector installation is necessary. Many upcoming experiments, including the DarkSide-20k (DS-20k) WIMP-search experiment, use liquid argon (LAr) as a target. The dominant radioactive isotopes produced in LAr include 3 H, 37 Ar, 39 Ar, and 42 Ar. DS-20k will use Underground Argon (UAr) as the target, which will be transported from its extraction site in Colorado to the detector site in Italy. We developed an Activation Calculation Software tool to estimate the induced activity of radioactive isotopes produced during UAr transportation. The software helps us to efficiently plan the 39 Ar depletion required for LAr experiments. A comparison with measurements from the DarkSide-50 experiment is left for future work.
One-year outcomes in cardiogenic shock triggered by supraventricular tachycardia: an analysis of the FRENSHOCK multicenter prospective registry

Background Cardiogenic shock (CS) is the most severe form of heart failure (HF), resulting in high early and long-term mortality. Characteristics of CS secondary to supraventricular tachycardia (SVT) are poorly reported. Based on a large registry of unselected CS, we aimed to compare 1-year outcomes between SVT-triggered and non-SVT-triggered CS. Methods FRENSHOCK is a French prospective registry including 772 CS patients from 49 centers. For each patient, the investigator could report 1–3 CS triggers from a pre-established list (ischemic, mechanical complications, ventricular/supraventricular arrhythmia, bradycardia, iatrogenesis, infection, non-compliance, and others). In this study, 1-year outcomes [rehospitalizations, mortality, heart transplantation (HTx), ventricular assist devices (VAD)] were analyzed and adjusted for independent predictive factors. Results Among 769 CS patients included, 100 were SVT-triggered (13%), of which 65 had SVT as an exclusive trigger (8.5%). SVT-triggered CS patients exhibited a higher proportion of male individuals with a more frequent history of cardiomyopathy or chronic kidney disease and more profound CS (biventricular failure and multiorgan failure). At 1 year, there was no difference in all-cause mortality (43% vs. 45.3%, adjusted HR 0.9 (95% CI 0.59–1.39), p = 0.64), need for HTx or VAD [10% vs. 10%, aOR 0.88 (0.41–1.88), p = 0.74], or rehospitalizations [49.4% vs. 44.4%, aOR 1.24 (0.78–1.98), p = 0.36]. Patients with SVT as an exclusive trigger presented more 1-year rehospitalizations [52.8% vs. 43.3%, aOR 3.74 (1.05–10.5), p = 0.01]. Conclusion SVT is a frequent trigger of CS alone or in association in more than 10% of miscellaneous CS cases. Although SVT-triggered CS patients were more comorbid with more pre-existing cardiomyopathies and HF incidences, they presented similar rates of mortality, HTx, and VAD at 1 year, arguing for a better overall prognosis. Clinical Trial Registration https://clinicaltrials.gov, identifier: NCT02703038.
Japanese Direct Investment in China: Locational Determinants and Characteristics

Chapter 1: Introduction Chapter 2: Literature Review Chapter 3: Spatial Patterns and Characteristics of FDI in China Chapter 4: Spatial Patterns and Characteristics of Japanese Direct Investment in China Chapter 5: Research Methodology Chapter 6: Spatial Determinants of Japanese FDI in China: An Econometric Analysis Chapter 7: Japanese FDI in Liaoning Province Chapter 8: A Case Study of Omron Dalian, Japanese Healthcare Electronics Company Chapter 9: Summary and Conclusions Bibliography
Transcription Factors in the Regulation of Plant Heat Responses

Abstract With the increasing global warming, heat stress has been a major challenge for plant growth and development. Transcriptional regulation is an important process in plant to combat heat stress. Recent studies have revealed the complicated transcriptional regulatory networks involved in plant heat stress response. Here, we review the latest advances regarding the transcriptional regulatory network and summarize the regulatory mechanisms of these heat stress-responsive transcription factors. We also explore the potential internal relationships among the major heat stress-responsive transcription factors. We believe that our knowledge on the regulatory mechanisms under plant heat stress will finally be transformed into crop plants for enhancing crop resistance and yields in future.