Miracle-dz/UniFAR-FTUs huggingface dataset:
Prediction of factors influencing hemorrhagic stroke death with brain herniation in teaching hospitals

Objectives: The purpose of this study was to identify and analyze the predictors of mortality in the cases of hemorrhagic stroke with brain herniation of hospitalized patients. Methods: In this retrospective cohort study, we analyzed 1,330 cases of hemorrhagic stroke with brain herniation from January 2015 to October 2020, and used logistic regression to identify the cause of death of hemorrhagic stroke with brain herniation. Results: A total of 1,330 stroke patients with brain herniation were identified. The mean age was 63.40±61.00 years and 56.50% of them were male. A total of 78.80% of the observed patients were discharged directly after recovery, 2.00% were discharged at the personal/family request, and number of patients who died after being treated 19.20% died (30.90% died after being treated for <48 hours, and 69.10% died after being treated for ³48 hours). Patients who were ³65 years old had more tendency to die than those who were younger, with a 95% confidence interval (CI) 6,859-26,486; p=0.001). The higher the systolic and diastolic blood pressure was, the greater the probability of dying after hospitalization (odds ratio [OR] 2.340, CI 1.334-4.104, p=0.022, OR 2.110, CI 1.042-4.273, p=0.026), the lower Glasgow coma scale (GCS) score at admission (<5), the more tendency for a patient to die (OR 1.376, CI 0.816–2.320, p=0.038) would be. Conclusions: Patient’s age ³65 years, high systolic blood pressure, high diastolic blood pressure, and GCS score <5 are predictors associated with the mortality of hemorrhagic stroke with brain herniation. The implications of these findings, if confirmed in prospective studies, would raise important policy considerations both in hospitals and at the overall health level, particularly regarding post-acute care.
The Effects of the Affordable Care Act’s Insurance Subsidies on a Commercial Fishing Fleet

We investigate the impact of health insurance subsidies on a US commercial fishing fleet. Prior to the passage of the Affordable Care Act, members of North Carolina’s fleet showed different preferences for the private purchase of health insurance, with higher-income and offshore-active commercial fishermen disproportionately likely to have health insurance and pay private insurance premiums. We find that the act has largely eliminated that disparity. Lower-income and inshore commercial fishermen are now largely caught up to the rest of the fleet in terms of insurance coverage. We propose that the act’s subsidies for insurance premiums are the cause of these changes.
Core20PLUS5: His Majesty’s Prison and Probation Service – an approach to address inequities in healthcare for people in contact with the criminal justice system

People involved in the criminal justice system are one of the population target cohorts of Core20PLUS5, a national National Health Service (NHS) England approach to support reduction of healthcare inequalities. For the health and justice system to be socially equitable, fair and just, the leadership across the health landscape has a central role to play to ensure this vulnerable group has an equitable opportunity for improved healthy life expectancy, regardless of their multiple disadvantages. On the 75th year of the inception of the NHS, this article is a call to action to bring about sustainable change through data reporting, digital innovation, accelerating preventative programmes and system leadership in order to achieve equitable access, excellent experience and optimal outcomes. It acknowledges the detrimental impact of crime and the importance of improving a range of health and social outcomes for this group.
Learning Viewpoint-Invariant Features for LiDAR-Based Gait Recognition

Gait recognition is a biometric identification method based on individual walking patterns. This modality is applied in a wide range of applications, such as criminal investigations and identification systems, since it can be performed at a long distance and requires no cooperation of interests. In general, cameras are used for gait recognition systems, and previous studies have utilized depth information captured by RGB-D cameras, such as Microsoft Kinect. In recent years, multi-layer LiDAR sensors, which can obtain range images of a target at a range of over 100 m in real time, have attracted significant attention in the field of autonomous mobile robots and self-driving vehicles. Compared with general cameras, LiDAR sensors have rarely been used for biometrics due to the low point cloud densities captured at long distances. In this study, we focus on improving the robustness of gait recognition using LiDAR sensors under confounding conditions, specifically addressing the challenges posed by viewing angles and measurement distances. First, our recognition model employs a two-scale spatial resolution to enhance immunity to varying point cloud densities. In addition, this method learns the gait features from two invariant viewpoints (i.e., left-side and back views) generated by estimating the walking direction. Furthermore, we propose a novel attention block that adaptively recalibrates channel-wise weights to fuse the features from the aforementioned resolutions and viewpoints. Comprehensive experiments conducted on our dataset demonstrate that our model outperforms existing methods, particularly in cross-view, cross-distance challenges, and practical scenarios.
Waveguide-Integrated Colloidal Nanocrystal Supraparticle Lasers

Supraparticle (SP) microlasers fabricated by the self-assembly of colloidal nanocrystals have great potential as coherent optical sources for integrated photonics. However, their deterministic placement for integration with other photonic elements remains an unsolved challenge. In this work, we demonstrate the manipulation and printing of individual SP microlasers, laying the foundation for their use in more complex photonic integrated circuits. We fabricate CdSxSe1−x/ZnS colloidal quantum dot (CQD) SPs with diameters from 4 to 20 μm and Q-factors of approximately 300 via an oil-in-water self-assembly process. Under a subnanosecond-pulse optical excitation at 532 nm, the laser threshold is reached at an average number of excitons per CQD of 2.6, with modes oscillating between 625 and 655 nm. Microtransfer printing is used to pick up individual CQD SPs from an initial substrate and move them to a different one without affecting their capability for lasing. As a proof of concept, a CQD SP is printed on the side of an SU-8 waveguide, and its modes are successfully coupled to the waveguide.
Do People Believe in Refilled Water?

Currently, Jambi residents still believe in refilling drinking water products made by themselves and sold freely in Jambi. Still, there is no data on the factors that cause / influence residents' high confidence in these products. This research aims to identify the factors that influence residents' confidence in repeated refilling drinking water in the city of Jambi. The research results show that the factors that affect people's confidence in refilled drinking water are; aspects of fairness, experience, empathy, ability in science, trust, attention, received energy, fulfillment, reliability in managing the refilled drinking water business. This research uses an aspect analysis procedure, with 434 respondents who live in the city of Jambi. Result in this study showed that the factors that influence people's trust in refilling drinking water in Jambi are; Fairness, Experience Four, Ability to Knowledge, Faith, Attention, Acceptance, Fulfillment, and Reliability. Meanwhile, the most substantial factor dominated by forming people's trust in refilled drinking water in the city of Jambi is the Fairness Factor.
School Library Innovation: Barcode Integration in the Laravel Platform at SD IT Adzkia 1 Padang

Education is the key to development. The teaching and learning process is crucial in the world of education. Libraries are a trusted source of knowledge. SD IT Adzkia 1 Kota Padang faces challenges in the manual library management, which slows down the borrowing transactions and reporting. The solution offered in this research is to develop a web-based library information system with barcode technology using the Laravel framework and MySQL. This system is designed to facilitate the recording of loans with a barcode scanner. The development method uses the waterfall model with use case, sequence, and entity relationship diagrams. The design and implementation of the system have proven to make data management in the library more efficient. Pendidikan kunci pembangunan. Proses belajar mengajar penting dalam dunia pendidikan. Perpustakaan adalah penyedia sumber ilmu terpercaya. SD IT Adzkia 1 Kota Padang menghadapi tantangan dalam pengelolaan perpustakaan yang manual, memperlambat transaksi peminjaman dan pelaporan. Solusinya yang ditawarkan dalam penelitian ini adalah membangun sistem informasi perpustakaan berbasis website dengan teknologi barcode, menggunakan framework Laravel dan MySQL. Sistem ini dirancang untuk memudahkan pencatatan peminjaman dengan barcode scanner. Metode pengembangannya menggunakan waterfall dengan diagram use case, sequence, dan entity relationship. Dari hasil perancangan dan pembuatan sistem terbukti proses pengelolaan data di pustaka menjadi lebih efisien.
Analysis of historical seismograms—root mean square Lg magnitudes, yields and depths of explosions at the Semipalatinsk Test Range

SUMMARY Magnitudes, mb(Lg), based on RMS amplitudes of Lg waves recorded at nine internal Soviet stations for 83 underground nuclear explosions at the Semipalatinsk test range were analysed. Network magnitudes based on a combination of station magnitudes were formed as weighted averages over the station magnitudes after adjusting for variations among station magnitudes in scaling with source strength. Combining the station magnitudes into network magnitudes, although the number of stations was small (less than six), appeared to reduce scatter in magnitude-yield relations. The correlation between network mb(Lg) and announced explosion yields was very high, and mb(Lg) closely approximated simple proportionality with the logarithm of yield throughout the yield interval 2–165 kt. The error of misfit was about 0.04 magnitude units excluding data for the explosion of 1972 August 16 (8 kt at 139m), the yield of which appeared high compared to mb(Lg). The close correlation between network mb(Lg) and explosion yield, together with the fact that several of the explosions were not at scaled depths, indicates that mb(Lg) may not be critically dependent on depth of burial, at least for depth ranges within a factor of two.
The “Inside-Out” Process

Abstract Fulufjället, with an area of 385 km2, was recently designated Sweden's 28th national park. This article describes how the park establishment process turned negative local opinion positive. The basis for success was a shift of focus from restrictions inside the boundaries of the national park to opportunities outside. This “inside-out” process implies a new approach to area protection and local community participation in Sweden. This is in line with the contemporary Swedish nature conservation strategy based on the principle of sustainability, which takes account of both ecological and socioeconomic development in a district.
Uncommon Hematogenous Metastasis: Orbital Involvement in Uterine Cervical Cancer

Patient: Female, 70-year-old Final Diagnosis: Uterine cervical cancer Symptoms: Sight loss and exophthalmos Clinical Procedure: — Specialty: Obstetrics and Gynecology Objective: Rare disease Background: Although screening for uterine cervical cancer (UCC) and vaccination programs for human papilloma virus (HPV) have been implemented in many countries, women >65 years may not have access to or comply with cervical cancer screening. Women >65 years may present with advanced-stage cervical carcinoma with a poor outcome. Metastatic UCC is often diagnosed, and there are 2 types of metastases related to different treatments and survival rate: hematogenous metastasis and lymphatic metastasis. Hematogenous metastasis is relatively unusual, and it most commonly involves lung and bone locations. Orbital metastasis is an extremely rare hematogenous metastasis in patients with UCC. Case Report: A 70-year-old woman receiving dialysis presented to a local hospital due to general fatigue for 5 months. She was diagnosed with locally advanced UCC and underwent radiation therapy (RT). Twenty days after RT, skin masses appeared, and 34 days after RT, right exophthalmos induced by an orbital mass appeared. We diagnosed skin and orbital masses as metastases from UCC, and performed RT to the orbital tumor. The tumor shrank and the visual symptoms disappeared. Regrettably, the patient died of cancer 7 months after the orbital RT; however, no eye symptoms recurred until her death. Conclusions: This report describes a rare presentation of UCC with metastasis to the orbit, and highlights that cervical cancer may still present at an advanced stage, particularly in older women. In this case, RT to the orbital metastasis from UCC was effective and contributed to the patient’s quality of life.
Temporal and spatial variations of heavy metals (Cu, Pb and Ni) concentration in the sediment from intertidal zone along the Iranian coasts of the Oman Sea

In order to determine distribution and seasonal patterns of heavy metals concentration in the intertidal sediment of the north Oman sea, samples of sediment were collected from five different station in August 2007 and February 2008. The samples were oven dried and acid digested. Heavy metals content of acid digested samples were analyzed by atomic absorption spectrophotometery method. Results showed that mean Cu, Pb and Ni concentration during summer were 38.28 ± 0.37, 50.37 ± 2.41 and 26.90 ± 2.72 µg. g-1 respectively. The average heavy metals concentration in winter was sharply dropped to 16.45 ± 1.77, 13.56 ± 1.24 and 14.68 ± 1.93 µg. g-1 for Cu, Pb and Ni respectively. Though Cu and Ni concentration did not significantly change over various station, seasonal difference between heavy metals concentration in sediment was significant (P < 0.05). It is suggested that Cu and Ni originate from non point sources. The heavy metals concentration in the sediment may hardly be affected by monsoon. Key words: Heavy metals, intertidal zone, sediment.
Multiple‐Rate Mass Transfer for Modeling Diffusion and Surface Reactions in Media with Pore‐Scale Heterogeneity

Mass transfer between immobile and mobile zones is a consequence of simultaneous processes. We develop a “multirate” model that allows modeling of small-scale variation in rates and types of mass transfer by using a series of first-order equations to represent each of the mass transfer processes. The multirate model is incorporated into the advective-dispersive equation. First, we compare the multirate model to the standard first-order and diffusion models of mass transfer. The spherical, cylindrical, and layered diffusion models are all shown to be specific cases of the multirate model. Mixtures of diffusion from different geometries and first-order rate-limited mass transfer can be combined and represented exactly with the multirate model. Second, we develop solutions to the multirate equations under conditions of no flow, fast flow, and radial flow to a pumping well. Third, using the multirate model, it is possible to accurately predict rates of mass transfer in a bulk sample of the Borden sand containing a mixture of different grain sizes and diffusion rates. Fourth, we investigate the effects on aquifer remediation of having a heterogeneous mixture of types and rates of mass transfer. Under some circumstances, even in a relatively homogeneous aquifer such as at Borden, the mass transfer process is best modeled by a mixture of diffusion rates.
Crustal-scale structure of the southern Rhinegraben from ECORS-DEKORP seismic reflection data

Two seismic lines with a total length of 207 km were shot in 1988 by the French and German deep reflection seismic groups (ECORS and DEKORP) across the Rhinegraben. The southern profile shows the following characteristics. (1) The Moho discontinuity is marked by a strong reflector, except beneath the eastern part of the graben and at the western end of the profile. Its depth is only 8 s (two-way traveltime) below the graben and increases progressively to 10 s below the Lorraine basin. (2) The layered lower crust reveals strong variations in the seismic signature and apparent thickness. (3) East-dipping reflectors in the middle crust may be attributed to Variscan features. (4) The Lorraine basin is characterized by Carboniferous and Permian-Triassic strata onlapping the Vosges crystafline basement. (5) The Rhinegraben is markedly asymmetric, possibly owing to extensional movement along a listric shear zone, which appears to merge at depth with a flat-lying detachment in the ductile lower crust. The Oligocene sedimentary infill was controlled by an east-dipping normal fault whose vertical throw is about 3 km.
The effects and implications of disturbance of mycorrhizal mycelial systems

The likely consequences of disturbance of the mycorrhizal mycelial network in soil are considered, emphasis being placed on the impact of small-scale events upon infection in vesicular-arbuscular and ectomycorrhizal systems. The importance of the intact network is stressed and the effects of its disruption upon infection processes and upon the nutrition of natural plant communities and of crops is analysed. It is considered that the most serious effect of disturbance will be to reduce the inoculum potential of the fungi and hence to decrease the vigour of infections that occur. The impact of these effects is likely to be felt most seriously at the stage of seedling establishment, and the interactions between disturbance events, mycorrhizal infection and plant successional processes are discussed.
Antihypertensive Effect of Milk Fermented by Lactiplantibacillus plantarum K79 on Spontaneously Hypertensive Rats

Abstract The aim of this study is to investigate whether milk fermented by Lactiplantibacillus plantarum K79, which exhibits angiotensin-converting enzyme inhibitory activity, has an effect on lowering the blood pressure of hypertensive rats and to investigate biomarker changes in their blood. Experimental group: normal group (NG, Wistar-Kyoto rats): distilled water, control group [NCG, spontaneously hypertensive rats (SHR)]: distilled water, high treatment group (HTG, SHR): 500 mg/kg/day, medium treatment group (SHR): 335 mg/kg/day, low treatment group (SHR): 170 mg/kg/day, positive control group (PCG, SHR): Enalapril, 10 mg/kg/day. The experimental animals used in this study were divided into groups composed of 8 animals. In terms of weight change, a significant difference was observed between the NG and the SHR group, but there was no significant difference between the SHR group. After 8 wk of feeding, blood pressure was lowered more significantly in the HTG (209.9±13.3 mmHg) than in the NCG (230.8±7.3 mmHg). The treatment group has an effect of lowering blood pressure by significantly suppressing blood pressure-related biomarker protein expression than NG. The results obtained can be used as an antihypertensive material in a variety of food raw materials.
Forecasting distributions of large federal-lands fires utilizing satellite and gridded weather information

The current study presents a statistical model for assessing the skill of fire danger indices and for forecasting the distribution of the expected numbers of large fires over a given region and for the upcoming week. The procedure permits development of daily maps that forecast, for the forthcoming week and within federal lands, percentiles of the distributions of (i) number of ignitions; (ii) number of fires above a given size; (iii) conditional probabilities of fires greater than a specified size, given ignition. As an illustration, we used the methods to study the skill of the Fire Potential Index - an index that incorporates satellite and surface observations to map fire potential at a national scale - in forecasting distributions of large fires.
Local and global feature fusion network for surface defect segmentation

Surface defect detection is an indispensable part of industrial production in order to guarantee product quality. With rapid development of deep learning, automatic surface defect detection is gradually applied to a variety of industrial scenarios. However, defect detection still faces some challenges, such as diverse defect types, various defect size and texture structures. To address the problems, we proposed a local and global feature fusion network (LGFNet) for surface defect segmentation. The network adopts a U-shaped encoder-decoder structure with a convolution-based local feature extraction unit (LFE) and a transformer-based global feature extraction unit (GFE). LFE utilizes multi-head convolutional attention to obtain the detailed textures of defects, and GFE utilizes dual attention module to obtain global contextual information of defects. LGFNet cross-cascades the two feature extraction units to obtain multi-scale defect features, thus adapting the segmentation network to different types of defects. Experiments on two widely used surface defect datasets (NEU-Seg, Road Defect) demonstrate that the network can accurately segment defects of multiple shapes and sizes.
Compliant mooring technology to separate buoy motion from in-line current meter observations

To separate buoy motion effects from current meters and other sensors on the mooring line, compliant elastic elements have been used in the mooring directly under the buoy. This approach was used in the Massachusetts Bays Program to separate surface buoy motion from VACM current meters below. the elastic elements. Recently a mooring designed to measure waves with a surface following buoy was instrumented with an ADCP and water property sensors. Compliant elastic elements were used at the top of the mooring to allow the buoy to move freely with the waves without having to accelerate the mooring and deeper instrumentation. An ADCP was mounted near the bottom in an upward looking configuration. 0.5 kN of additional flotation (120 lbf) at the bottom of the elastic elements kept the lower part of the mooring taut to minimize motion. The elastic elements provided about 1.3 kN (300 lbf.) of mooring pretension, and, depending on the horizontal current and the wave activity, the tension at the buoy could rise to about 3.5 kN (800 lbf.). Computer modeling of the mooring showed no vertical and minimum horizontal motion in the lower part of the mooring and reasonable tensions that would allow the buoy to follow the waves. Data from the accelerometer in the buoy, the SeaCats in-line and ADCP near the bottom were of high quality. The mooring was recovered by releasing a float from mid-depth that brought a line to the surface from below the elastic elements to allow the mooring (with sensors) and anchor to be retrieved.
Multifactorial Heath-Jarrow-Morton model using principal component analysis

In this study, we propose an implementation of the multifactor Heath-Jarrow-Morton (HJM) interest rate model using an approach that integrates principal component analysis (PCA) and Monte Carlo simulation (MCS) techniques. By integrating PCA and MCS with the multifactor HJM model, we successfully capture the principal factors driving the evolution of short-term interest rates in the US market. Additionally, we provide a framework for deriving spot interest rates through parameter calibration and forward rate estimation. For this, we use daily data from the US yield curve from June 2017 to December 2019. The integration of PCA, MCS with multifactor HJM model in this study represents a robust and precise approach to characterizing interest rate dynamics and compared to previous approaches, this method provided greater accuracy and improved understanding of the factors influencing US Treasury Yield interest rates.