Miracle-dz/UniFAR-FTUs huggingface dataset:
Inhibition of LAMP3 mediates the protective effect of vitamin D against hypoxia/reoxygenation in trophoblast cells

Inadequate invasion and excessive apoptosis of trophoblast cells are associated with the development of preeclampsia. Vitamin D deficiency in pregnant women may lead to an increased risk of preeclampsia. However, the underlying mechanisms by which vitamin D is effective in preventing preeclampsia are not fully understood. The objectives of this study were to investigate the role of lysosome-associated membrane glycoprotein 3 (LAMP3) in the pathogenesis of preeclampsia and to evaluate whether vitamin D supplementation would protect against the development of preeclampsia by regulating LAMP3 expression. Firstly, the mRNA and protein levels of LAMP3 were significantly upregulated in the placentas of preeclampsia patients compared to normal placentas, especially in trophoblast cells (a key component of the human placenta). In the hypoxia/reoxygenation (H/R)-exposed HTR-8/Svneo trophoblast cells, LAMP3 expression was also upregulated. H/R exposure repressed cell viability and invasion and increased apoptosis of trophoblast cells. siRNA-mediated knockdown of LAMP3 increased cell viability and invasion and suppressed apoptosis of H/R-exposed trophoblast cells. We further found that 1,25(OH)2D3 (the hormonally active form of vitamin D) treatment reduced LAMP3 expression in H/R exposed trophoblast cells. In addition, 1,25(OH)2D3 treatment promoted cell viability and invasion and inhibited apoptosis of H/R-exposed trophoblast cells. Notably, overexpression of LAMP3 abrogated the protective effect of 1,25(OH)2D3 on H/R-exposed trophoblast cells. Collectively, we demonstrated trophoblast cytoprotection by vitamin D, a process mediated via LAMP3.
Length of hospital stay after hip fracture and risk of early mortality after discharge in New York state: retrospective cohort study

Study question Can the length of hospital stay for hip fracture affect a patient’s risk of death 30 days after discharge? Methods In a retrospective cohort study, population based registry data from the New York Statewide Planning and Research Cooperative System (SPARCS) were used to investigate 188 208 patients admitted to hospital for hip fracture in New York state from 2000 to 2011. Patients were aged 50 years and older, and received surgical or non-surgical treatment. The main outcome measure was the mortality rate at 30 days after hospital discharge. Study answer and limitations Hospital stays of 11-14 days for hip fracture were associated with a 32% increased odds of death 30 days after discharge, compared with stays lasting one to five days (odds ratio 1.32 (95% confidence interval 1.19 to 1.47)). These odds increased to 103% for stays longer than 14 days (2.03 (1.84 to 2.24)). Other risk factors associated with early mortality included discharge to a hospice facility, older age, metastatic disease, and non-surgical management. The 30 day mortality rate after discharge was 4.5% for surgically treated patients and 10.7% for non-surgically treated patients. These findings might not be generalizable to populations in other US states or in other countries. The administrative claims data used could have been incomplete or include inaccurate coding of diagnoses and comorbid conditions. The database also did not include patient socioeconomic status, which could affect access to care to a greater extent in New York state than in European countries. Specific cause of death was not available because few autopsies are performed in this population. What this study adds By contrast with recent findings in Sweden, decreased length of hospital stay for hip fracture was associated with reduced rates of early mortality in a US cohort in New York state. This could reflect critical system differences in the treatment of hip fractures between Europe and the USA. Funding, competing interests, data sharing University of Rochester grant from the Clinical Translational Science Institute for statistical analyses used in this work (National Institutes of Health (UL1 TR000042)) and the National Institutes of Health (K-08 AR060164-01A). No competing interests declared. Data may be obtained through SPARCS at https://www.health. ny.gov/statistics/sparcs/access/.
In�ammatory Potential of the Diet and Risk of Sarcopenia and its Components

Background: Despite huge evidence on the link between dietary in�ammatory index (DII) and several chronic conditions, limited data are available about the association of DII and sarcopenia. This study aimed to examine the relationship between in�ammatory potential of the diet (as measured by DII) and sarcopenia and its components among community-dwelling elderly population. Methods: This population-based cross-sectional study was performed in 2011 among 300 elderly people (150 men and 150 women) aged ≥ 55 years, who were selected using cluster random sampling method. Dietary assessment was done using a pre-tested food frequency questionnaire. Energy-adjusted DII was calculated based on earlier studies. Sarcopenia and its components were determined based on the European Working Group on Sarcopenia (EWGSOP) de�nition. Results: Mean age of study participants was 66.7 ± 7.7 y. Subjects in the highest tertile of DII were more likely to be older (P=0.02). The prevalence of sarcopenia (P=0.016) and abnormal muscle mass (P=0.041) was signi�cantly higher among subjects in the top tertile compared with those in the bottom tertile of DII. After adjustment for potential confounders, those with the highest DII were 2.18 times (95% CI: 1.01-4.74) more likely to have sarcopenia than those with the lowest DII. With regard to components of sarcopenia, subjects in the top tertile of DII had not signi�cantly greater odds of abnormal muscle mass (OR: 1.38; 95% CI: 0.72-2.63), abnormal handgrip strength (OR: 0.97; 95% CI: 0.49-1.89), and abnormal gait speed (OR: 1.61; 95% CI: 0.84-3.08) than those in the bottom tertile. Conclusions: In conclusion, a diet with more pro-inammatory potential was associated with a greater odd of sarcopenia. Further studies are required to con�rm these �ndings.
CLASSIFYING AND EVALUATING PRIVACY-PRESERVING TECHNIQUES BASED ON PROTECTION METHODS: A COMPREHENSIVE STUDY

Many data analysis applications encounter the challenge of preserving the privacy of information. Over the past few years, many partially published data have become subjects of various concerns, ranging from unlawful access to private data to privacy breaches and unintended use of personal information. This problem has limited progress in advancing published data, prompting the need for robust privacy-protection techniques, which can minimize the chances of identifying sensitive individual information by unauthorized persons. The simplest solution to preserving sensitive information is to avoid public disclosure of such information. However, this might constitute a problem for data analysis, as there may not be available datasets to analyze and discover interesting patterns. Sometimes, the dataset must be disclosed under government regulations to enable access and subsequent analysis. Sometimes, the data owner may modify the data to ensure privacy and retain sufficient information for a safe release to the public. This process is usually referred to as privacy-preserving data publishing (PPDP). The review in this paper has rigorously evaluated some existing preserving privacy techniques and classified them based on their methods to reduce the risk of disclosing information. Moreover, the review focused on the methods of the current preserving privacy techniques to protect data and preserve the privacy of sensitive information, which is considered a key contribution of this study as it is expected to guide scholars to gain a deeper knowledge of the existing privacy preservation methods. This study also compared and analyzed various privacy-preserving techniques in terms of their advantages and drawbacks
Application of new GPS aircraft control/display system to topographic mapping of the Greenland ice cap

A facet of the NASA Greenland Ice Sheet mapping experiment is the requirement for precise navigation and positioning of the aircraft. In order to establish baseline elevational measurements it is necessary to reoccupy ifight tracks several times to ensure the validity of the survey. The Airborne Oceanographic Lidar1 (AOL) was operated in a scanning mode from an a! titude of 400 m so the survey swath width is '200m thus the real-time navigational requirement is +1-50 m to provide for at least a 50% swath overlap on repeated passes. We developed the GPS Flight Management System (GFMS) using the Global Positioning System (GPS). The GFMS inputs GPS position data to a PC which generates _ aircraft automatic pilot steering commands and a cockpit display including 1) course deviation indicators for cross-track error and altitude, 2) flight plan and waypoint map overlay oriented to the aircraft and 3) other mission pertinent numerical data.
DEFORMATION MECHANISMS AND TEXTURES IN TECTONITES

There are three types of deformation mechanisms in tectonites-mass diffusion andtransmission,crystal plastic deformation and intergranular friction g116ing andcracking。 These个formation mechanisms can form a variety of deformation textures,i.e.Plucked-boundary,Goatee,Snow-ball,Micro-boudinage,Rotational porphyroclasts,Pressure shadow,Segregation banding,Filiform,Deformational vein,Deformational band,Mechanic twin,Mi-crokink,Subgrain,Core-mantle,Shear step,Mica fish and Rectangular band etc.Thesedeformation textures are of special important for studying the relationship between deforma-tion and metamorphism, for bringing to light the history of deformation and for determiningenvironment of deformation.
Cost effectiveness of an intensive blood glucose control policy in patients with type 2 diabetes: economic analysis alongside randomised controlled trial (UKPDS 41). United Kingdom Prospective Diabetes Study Group.

OBJECTIVE To estimate the cost effectiveness of conventional versus intensive blood glucose control in patients with type 2 diabetes. DESIGN Incremental cost effectiveness analysis alongside randomised controlled trial. SETTING 23 UK hospital clinic based study centres. PARTICIPANTS 3867 patients with newly diagnosed type 2 diabetes (mean age 53 years). INTERVENTIONS Conventional (primarily diet) glucose control policy versus intensive control policy with a sulphonylurea or insulin. MAIN OUTCOME MEASURES Incremental cost per event-free year gained within the trial period. RESULTS Intensive glucose control increased trial treatment costs by pound 695 (95% confidence interval pound 555 to pound 836) per patient but reduced the cost of complications by pound 957 (pound 233 to pound 1681) compared with conventional management. If standard practice visit patterns were assumed rather than trial conditions, the incremental cost of intensive management was pound 478 (-pound 275 to pound 1232) per patient. The within trial event-free time gained in the intensive group was 0.60 (0.12 to 1.10) years and the lifetime gain 1.14 (0.69 to 1.61) years. The incremental cost per event-free year gained was pound 1166 (costs and effects discounted at 6% a year) and pound 563 (costs discounted at 6% a year and effects not discounted). CONCLUSIONS Intensive blood glucose control in patients with type 2 diabetes significantly increased treatment costs but substantially reduced the cost of complications and increased the time free of complications.
Forecasting of origin-to-destination requests for taxis using DNN algorithm with NYU database

Prediction of taxi requests haslately drawn increased much attention in research owing to its high applicability in massive intelligent transport systems. Most previous methods, on the other hand, focused solely on predicting taxi demand in origin areas, ignoring the analysis of target passengers' special circumstances.We believe it is inefficient to assign cabs to all areas in advance solely based on taxi origin request. This work studies a critical and fascinating task known as taxi origin-destination demand prediction, whose purpose is to forecast future cab requests across pairs in all areas. Determining the process to collect contextual data effectively in order to learn demand patterns. A novel methodology known as the Deep Neural Network (DNN) with Deep learning-based models is focused in this paper, which outperforms traditional machine learning methods in a variety of classification tasks, including origin and destination views. Extensive tests and analyses on a broad dataset clearly show that our DNN outperforms several other methodologies from literature.
A Bunch of Set Theory and a Bit of Logic

Set theory is the “machine language” of mathematics. If you think about it, every program that you have ever run on a computer has ultimately produced instructions that get sent to a CPU and the CPU just churns through them. Those CPU instructions are really really low-level: add this 32 bit number to this 32 bit number, grab these bits from memory and move them somewhere else, check this number to see if it’s zero, and grab these other set of bits from memory and interpret them like a machine instruction. Somehow, these little primitive instructions make it possible to write programs that download pictures of kittens from the Internet and thereby make your life more fulfilling. At the end of the day, though, it’s all bits: 1’s and 0’s. Your kittens are represented by a bunch of bits that your graphics hardware knows how to translate into a bundle of furry joy. Your tragic poetry is written in ASCII, which is really a bunch of characters, each of which is represented by a number, which in turn is represented by bits. So your computer consistently operates on representations of the things that you really care about. Set theory is like that. It’s painfully low-level, and it doesn’t understand high-level concepts like programming languages, or numbers for that matter, but it’s very very powerful! Essentially, mathematicians take set theory as the tool for building representations of things. If you can’t represent it using sets, then it’s not mathematical.
Psychosocial Development in Saudi Adolescents with Type-1 Diabetes: A Descriptive Comparative Study

Background Diabetes Miletus imposes a signi�cant psychological and social burden on the affected individuals. The impact of type 1 diabetes Miletus on psychosocial development has not been well investigated in the literature. We aim to �ll the aforementioned gap by conducting a comparative study to accurately assess the impact of this chronic disease on psychosocial development among adolescents in Saudi Arabia. Methodology This is a structured interview-based, comparative, and cross-sectional study targeting adolescents in Jeddah, Saudi Arabia. This study utilized a validated instrument (PIES) to assess the psychosocial development among the recruited participants. An IRB approval has been granted for this study. The data were analyzed using Statistical Packages for Social Sciences (SPSS) version 21 Armonk, NY: IBM Corp. The data collection spanned the duration from the 1st of November 2020 until the 8th of June 2021. Results A total of 310
The Impacts of Public Spending, Private Spending and School Governance on Schooling Outcomes in Rural India

This paper studies the idea (hypothesis) that increasing government spending on education should improve the quality of the education and access and thus bridge the gap between the private schools and public schools’ performance leading to indifferent choice between the school types and similar outcome. Nationally representative village, schools, and household level data from rural India allow us to study the impact of the spending on the school choice and measure performance gap (if there is any) between the types of schools and their impact on the welfare of the society as a whole. We find that even after the big government spending on education to improve the quality and access, the gap between the public private school’s performance still exits and that lead to the difference in the welfare (outcome) as a whole.
A Research on Tourism Development Paradox and Success Criteria in Tourism

Almost all countries, especially underdeveloped and least developed countries, are in an effort to develop the tourism sector. The main purpose of this study is to gain a different perspective on success criteria in the tourism sector. In this study, the success in the tourism sector of the countries listed according to various criteria in the barometers published in the January 2023 by the UNWTO was compared with other data of countries such as GDP, area, population, import, export. It has been tried to reveal how successful any country, which is in the first place in a certain field, is according to different variables. In the study, the data of the countries in different fields were compared through tables and a different perspective was presented to the success criteria. As a result, it has been found that some countries, which are considered successful in tourism according to various criteria by UNWTO, are unsuccessful in comparison with other data.
Marine plant mediated green synthesis of silver nanoparticles using mangrove Rhizophora stylosa: Effect of variable process and their antibacterial activity [version 1; peer review: awaiting peer review]

Background: Most natural plants used in the synthesis of silver nanoparticles are limited to marine plants. To carry out applications, colloidal silver nanoparticles (AgNps) should have appropriate properties such as homogeneous shapes, small and narrow particle size distribution, and long time stability. This study aims to determine the effects of a variable process of AgNps mediated mangrove Rhizophora stylosa (RS) leaf extract, and antibacterial activity. Methods: Synthesis of AgNps was carried out by stirring silver nitrate solution with aqueous extract. The characterization of AgNps was carried out using UV-Vis spectrophotometry, X-ray diffraction (XRD), Dynamic Light Scattering (DLS) zetasizer and Transmission Electron Microscopy (TEM). Evaluation of antibacterial activity was carried out on Escherichia coli and Staphylococcus aureus. Reaction conditions such as the concentration of metal ions (0.001 M, 0.005 M, and 0.01 M), extracts (1%, 3%, and 5% v/v), and the reaction time on the size and stability of nanoparticles were also explored. Results: The UV-Vis spectroscopy showed an absorption of colloidal AgNps in a wavelength range of 403–443 nm. TEM analysis showed that as-synthesized AgNps were spherical in shape with a size range of 5–87 nm. The use of 0.001 M and 0.005 M of Ag+ resulted in a smaller diameter than the synthesized AgNps, using 0.01 M Ag+, in the same extract concentration. The range of zeta potential was -24.9 mV to -27.7 mV. The as-synthesized AgNps were stable for more than one month. The XRD analysis showed four peaks, which were attributed to the face centered cubic crystal structure of metallic silver. The results of the silver nanoparticles synthesis showed good activity on E scherichia coli and Staphylococcus aureus, with an inhibition zone between 4.1–7.2 mm. Open Peer Review Reviewer Status AWAITING PEER REVIEW Any reports and responses or comments on the article can be found at the end of the article. Page 1 of 12 F1000Research 2021, 10:768 Last updated: 06 AUG 2021
A sharp immersed method for 2D ﬂow-body interactions using the vorticity-velocity Navier-Stokes equations

Immersed methods discretize boundary conditions for complex geometries on background Cartesian grids. This makes such methods especially suitable for two-way coupled ﬂow-body problems, where the body mechanics are partially driven by hydrodynamic forces. However, for the vorticity-velocity form of the Navier-Stokes equations, existing immersed geometry discretizations for two-way coupled problems only achieve ﬁrst order spatial accuracy near solid boundaries. Here we introduce a sharp-interface approach based on the immersed interface method to handle the one-and two-way coupling between an incompressible ﬂow and one or more rigid bodies using the 2D vorticity-velocity Navier-Stokes equations. Our main contributions are three-fold. First, we develop and analyze a moving boundary treatment for sharp immersed methods that can be applied to PDEs with implicitly deﬁned boundary conditions, such as those commonly imposed on the vorticity ﬁeld. Second, we develop a two-way coupling methodology for the vorticity-velocity Navier-Stokes equations based on control-volume momentum balance that does not require the pressure ﬁeld. Third, we show through extensive testing and validation that our resulting ﬂow-body solver reaches second-order accuracy for most practical scenarios, and provides signiﬁcant eﬃciency beneﬁts compared to a representative ﬁrst-order approach.
Development of a numerical 2-dimensional beach evolution model

This paper presents the description of a 2-dimensional numerical model constructed for the simulation of beach evolution under the action of wind waves only over the arbitrary land and sea topographies around existing coastal structures and formations. The developed beach evolution numerical model is composed of 4 submodels: a nearshore spectral wave transformation model based on an energy balance equation including random wave breaking and diffraction terms to compute the nearshore wave characteristics, a nearshore wave-induced circulation model based on the nonlinear shallow water equations to compute the nearshore depth-averaged wave-induced current velocities and mean water level changes, a sediment transport model to compute the local total sediment transport rates occurring under the action of wind waves, and a bottom evolution model to compute the bed level changes in time based on the gradients of sediment transport rates in cross-shore and longshore directions. The developed models are applied successfully to the SANDYDUCK field experiments and to some conceptual benchmark cases including simulation of rip currents around beach cusps, beach evolution around a single shore perpendicular groin, and a series of offshore breakwaters. The numerical model gave results in agreement with the measurements both qualitatively and quantitatively and reflected the physical concepts well for the selected conceptual cases.
Cloning and Expanding Graph Transformation Rules for Refactoring the Authors Are Supported by the Esprit Working Group Syntactic and Semantic In- Tegration of Visual Modeling Techniques (segravis)

Refactoring is a software engineering technique that aims at enhancing the structure of object-oriented software while preserving its behavior. Several authors have studied how graph transformation can be used to specify refactoring, because such specifications are more precise and can thus, in principle, easier be verified to preserve a program's behavior. It has turned out that " standard " ways of graph transformation do not suffice to define refactoring: their expressive power must be increased if they shall be useful in this application area. Two mechanisms have been proposed so far: one for cloning, and one for expanding nodes by graphs. However, the mechanisms and notations needed are rather complex. In this paper we provide, in the context of double pushout graph transformation, a more elegant and intuitive description. It is based on a notion of rule instantiation, where the instantiation transforms rule schemes into rule instances by cloning and expansion. The power of the technique is demonstrated by an application to two well-known refactoring operations.