bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interplay Of Serum Bilirubin and Tobacco Smoking with Lung and Head and Neck Cancers in a Diverse, EHR-linked Los Angeles Biobank
Authors: Venkateswaran Vidhya , Petter Ella , Boulier Kristin , Ding Yi , Bhattacharya Arjun , Pasaniuc Bogdan 
Published: October 2023

Abstract
Background
Bilirubin is a potent antioxidant with a protective role in many diseases. We examined the relationships between serum bilirubin (SB) levels, tobacco smoking (a known cause of low SB), and aerodigestive cancers, grouped as lung cancers (LC) and head and neck cancers (HNC).
Methods
We examined the associations between SB, LC, and HNC using data from 393,210 participants from a real-world, diverse, de-identified data repository and biobank linked to the UCLA Health system. We employed regression models, propensity score matching, and polygenic scores to investigate the associations and interactions between SB, tobacco smoking, LC, and HNC.
Results
Current tobacco smokers showed lower SB (-0.04mg/dL, 95% CI: [-0.04, -0.03]), compared to never-smokers. Lower SB levels were observed in HNC and LC cases (-0.10 mg/dL, [-0.13, -0.09] and − 0.09 mg/dL, CI [-0.1, -0.07] respectively) compared to cancer-free controls with the effect persisting after adjusting for smoking. SB levels were inversely associated with HNC and LC risk (ORs per SD change in SB: 0.64, CI [0.59,0.69] and 0.57, CI [0.43,0.75], respectively). Lastly, a polygenic score (PGS) for SB was associated with LC (OR per SD change of SB-PGS: 0.71, CI [0.67, 0.76]).
Conclusions
Low SB levels are associated with an increased risk of both HNC and LC, independent of the effect of tobacco smoking. Additionally, tobacco smoking demonstrated a strong interaction with SB on LC risk. Lastly, genetically predicted low SB (using a polygenic score) is negatively associated with LC. These findings suggest that SB could serve as a potential early and low-cost biomarker for LC and HNC. The interaction with tobacco smoking suggests that smokers with lower bilirubin could likely be at higher risk for LC compared to never smokers, suggesting the utility of SB in risk stratification for patients at risk for LC. Lastly, the results of the polygenic score analyses suggest potential shared biological pathways between the genetic control of SB and the risk of LC development.
Left Ventricular Dysfunction Following Repair of Ventricular Septal Defects in Infants
Authors: Faraji Ehssan , Bolin Elijah H. , Bond Elizabeth G. , II R. Thomas Collins , Greiten Lawrence , Daily Joshua A. 
Published: October 2023

Abstract
Background
Left ventricular systolic dysfunction (LVSD) is frequently observed following repair of ventricular septal defects (VSD), although little is known about its incidence, time course, or risk factors. Among infants undergoing VSD repair, for postoperative LVSD, we sought to determine (1) incidence, (2) predictors, and (3) time to resolution.
Methods
We queried our institution’s surgical database for infants who underwent repair of isolated VSDs from November 2001 through January 2019. The primary outcome was postoperative LVSD, which was defined as a shortening fraction of < 26% by M-mode. Postoperative echocardiograms were reviewed and measurements were made using standard methods. Receiver operating characteristic analysis was generated to determine the preoperative left ventricular internal dimension (LVIDd) z-score most predictive of LVSD. Multivariable analysis was conducted to determine associations with LVSD; covariates in the model were weight percentile, genetic syndrome, preoperative diuretic, VSD type, and preoperative LVIDd z-score.
Results
Of the 164 patients who met inclusion criteria, 62 (38%) had postoperative LVSD. 58 (94%) of patients had resolution of LVSD within 9 months of surgery. Preoperative LVIDd z-score of > 3.1 was associated with both an increased incidence of postoperative LVSD and prolonged time to resolution. Multivariable logistic regression analysis showed only preoperative LVIDd z-score was independently associated with postoperative LVSD.
Conclusions
LVSD following VSD closure is common, but nearly all cases resolve by 9 months postoperatively. Elevated LVIDd prior to surgery is associated with postoperative LVSD. These data suggest VSD closure should be considered prior to the development of significant left ventricular dilation.
First large-scale assessment of snow leopard population in China using existing data from multiple organizations
Authors: Li Xueyang , Wei Chunyue , Chen Xier , Li Peiyun , Liang Shujie , Jikmed Awang , Gao Yufang , Zhao Xiang , Chu Moyan , Sharma Koustubh , Justine Alexander , Lu Zhi , Xiao Lingyun 
Published: October 2023

Abstract

Accurate population data of large carnivores is essential for their effective conservation planning, yet estimating population size is challenging due to their elusive and wide-ranging nature. China is estimated to encompass 60% of the snow leopard Panthera uncia habitat, marking it a crucial pillar for global snow leopard conservation. However, no large-scale population assessment has been conducted despite scattered survey effort accumulating rapidly in recent years. This study combined and standardized existing camera trap survey data from 12 sites collected by four organizations during 2015 ~ 2021 to estimate snow leopard population in an area of 0.36 million km2. The representativeness of existing survey was evaluated based on habitat stratification to achieve unbiased population estimation. Spatially explicit capture-recapture (SECR) models were applied for density estimation and the most optimal model only included habitat rank as density covariate, showing a significant positive correlation with density. An average snow leopard density of 0.90/100 km2 (0.68 ~ 1.21/100 km2) and a population size of 1,002 individuals (755 ~ 1,341) was estimated for the entire region. Two more conservative estimates of 971 and 978 individuals were generated within two defined survey regions, in which our data has higher representativity. This study presents a practical approach to synthesize existing population survey data for large-scale population assessments of individually identifiable species. The estimated number represents 11 ~ 21% of the global snow leopard population, indicating high conservation value of this region.
Research on map construction based on ORB-SLAM2 algorithm with improved keyframe selection
Authors: Zhou Feng , Li Nan , Yao Kaiwen , Hu Xinli , Wang Rugang 
Published: October 2023

Abstract
Aiming at the problems that the traditional ORB-SLAM2 algorithm has too little keyframe information in dynamic scenes, which leads to the loss of tracking and localization, the error generated by the camera trajectory, and the constructed sparse point cloud maps can't be directly applied to navigation and path planning, an ORB-SLAM2 algorithm based on the improvement of keyframe selection is proposed. Firstly, on the basis of the original ORB-SLAM2 framework, the key frames are screened by adding the corner factor and translation transition factor of the relative motion amount between frames in the neighboring image frames, and the new feature point tracking is added to improve the accuracy of the key frame selection. Then the dense map building and OctoMap threads are added to the three threads of the original system, and the ORB-SLAM2 algorithm with improved keyframe selection is used to build a dense point cloud map and converted and compressed into OctoMaps, and finally the effectiveness of the algorithm is verified on the TUM dataset. The experimental results show that the ORB-SLAM2 algorithm with improved keyframe selection can effectively select keyframe information, the tracking and localization accuracy is significantly improved under the premise of guaranteeing the real-time performance of the system, and the maximum absolute trajectory error is reduced by 49.1% on average in different datasets, and the constructed OctoMap can be stored in a much lower amount of memory and can be used directly for the navigation planning of the robot.
Nonlinear geometric decomposition of airfoils into the thickness and camber contributions
Authors: Torres George Lucas Souto , Marques Flávio Donizeti 
Published: October 2023

Abstract

In the thin airfoil theory, the camber line and the thickness distribution of general airfoils are mainly extracted by a linear combination of the upper and lower surfaces, giving rise to geometric distortions at the leading edge. Furthermore, despite the recent effort to obtain analytic expressions for the zero-lift angle of attack and quarter-chord moment coefficient, more analytic generalization is needed for the camber line component in the trigonometric series coefficients. This paper presents a straightforward algorithm to extract the camber line and thickness distribution of general airfoil shapes based on a finite differences method and the Bézier curve fitting. Integrals in the thin airfoil theory involving a Bernstein basis are performed, leading to series coefficients involving Gegenbauer polynomials. The algorithm is validated against analytical expressions of the NACA airfoils without introducing or adapting geometric parameters, and the results demonstrate good accuracy. In addition, the present work indicated a significantly different geometric behavior for the SD7003 airfoil camber slope at the leading edge obtained by the proposed algorithm and the classical linear approximation. Moreover, the method can be coupled conveniently in recent reduced-order models established on the thin airfoil theory to obtain expressions in closed forms for general airfoils.
Keywords: Airfoil camber; Geometric decomposition; Thin airfoil theory; Finite differences method; Bézier curves; Gegenbauer polynomials.
Gravitational variation through magnetic fields for particles in fluids
Authors: Cabrera-Booman Facundo , Plihon Nicolas , Bourgoin Mickaël , Cal Raúl 
Published: October 2023

Abstract

A magnetic field (MF) is generated to modify gravity in a laboratory. The MF produces a vertical force that counteracts the gravitational field on a magnetic sphere. The perpendicular spin of particles is blocked, thus allowing spin solely around the direction of the MF.The settling of spherical magnets in a quiescent flow with a particle density of $8200$~kg/m$^3$ and Galileo number (Ga) in the range $[100,280]$ was studied experimentally. The results obtained by varying Ga via gravity modification to those obtained with non-magnetic spheres where Ga is modified by varying viscosity are compared. Findings showed that there is no significant difference in the trajectory angle between magnetic and non-magnetic cases, suggesting that the method for compensating gravity does not produce any spurious effect and that particle spinning has no significant effect on this aspect of the dynamics. Subtle differences in trajectory planarity were observed hinting at a possible dependence on particle spin. Results prove the validity of the method introduced here to change the gravitational strength on particles in fluids.
Sustainable ecosystem management based on optimal water allocation and equity measures
Authors: Li Guo 
Published: October 2023

Abstract
Allocation of water resources is an interesting research topic and one of the main challenges of arid regions. From the point of view of agriculture, this issue is closely related to ecological balance, economic development and social stability. Therefore, fair, efficient and sustainable allocation of water resources for users and decision-making is essential. This paper presents a dynamic stochastic programming model that predicts soil moisture content in a growing season based on data collected from an experimental farm. The model included three types of loam soil, silt loam and clay loam with three treatments of irrigation intervals of 3, 7, 10 and 14 days and three amounts of water allocation with three replications. The proposed framework was evaluated with two criteria of spatial and temporal equity, and the optimal water allocation was analyzed based on this criterion. The results showed that the criterion of temporal equity for loam soil with 7-day irrigation intervals is more than twice that of 14-day irrigation intervals. In addition, the depth of irrigation has had the greatest impact on the fluctuations of the criterion of equity in water allocation in the growing season.
A Mini Review on Ethnomedicinal uses, Phytochemistry and Pharmacological Properties of Indian Wampi Plant: Clausena indica (Dalzell) Oliv
Authors: Krishnakumar Neenthamadathil Mohandas , Ceasar Stanislaus Antony 
Published: October 2023

Background:
Clausena indica (Dalzell) Oliv. belongs to Rutaceae family and it is native to South and South-East Asia. The plant is used in the traditional medicine to treat malaria,
rheumatism, bone fracture etc.

Objective:
In the present review, the previous reports on C. indica concerning its ethnobotanical
uses, morphological description, eco-geographical features, phytochemistry and pharmacological effects are summarized

Methods:
Science-Direct, PubMed, Springer, Scopus and Google-Scholar were used to find potentially relevant literature. The collected literature was analyzed and potential titles were included for screening the abstracts and checking the full texts. After screening 90 potentially interesting articles and other related literature, a reference list of about 39 articles were selected.
The reviews, dissertations and other literature without any original research were excluded.

Conclusion:
The present review describes the ethnomedicinal uses, reported phytochemical
compounds isolated from the plant species and various pharmacological properties of C. indica.
Ethnomedicinal studies indicated the use of C. indica for the treatment of various diseases.
Pharmacological reports showed that C. indica exhibited significant antidiabetic, antioxidant, antimicrobial, free radical scavenging, anti-gout and anticancer effects. Detailed phytochemical
studies and molecular gene expression studies are required to explain the exact mechanism of
action of active phytocompounds.
User-Centered Development of Bolster, an mHealth Intervention for Early Psychosis Caregivers: Needs Assessment, Prototyping, and Field Trial
Authors: Buck Benjamin , Wingerson Mary , Whiting Erica , Snyder Jaime , Monroe-DeVita Maria , Ben-Zeev Dror 
Published: October 2023

Background
Caregivers play a critical role in the treatment and recovery of youth and young adults at risk for psychosis. Caregivers often report feeling isolated, overwhelmed, and lacking in resources. Mobile health (mHealth) has the potential to provide scalable, accessible, and in-the-moment support to caregivers. To date, few if any mHealth resources have been developed specifically for this population.

Objective
The aim of this study was to conduct user-centered design and testing of an mHealth intervention to support early psychosis caregivers.

Methods
We conducted a multiphase user-centered development process to develop the Bolster mobile app. In phase 1, a total of 21 caregivers were recruited to participate in a qualitative needs assessment and respond to an initial prototype of the Bolster platform. Content analysis was used to identify key needs and design objectives, which guided the development of the Bolster mobile app. In phase 2, a total of 11 caregivers were recruited to participate in a 1-week field trial wherein they provided qualitative and quantitative feedback regarding the usability and acceptability of Bolster; in addition, they provided baseline and posttest assessments of the measures of distress, illness appraisals, and family communication.

Results
In phase 1, participants identified psychoeducation, communication coaching, a guide to seeking services, and support for coping as areas to address. Live prototype interaction sessions led to multiple design objectives, including ensuring that messages from the platform were actionable and tailored to the caregiver experience, delivering messages in multiple modalities (eg, video and text), and eliminating a messaging-style interface. These conclusions were used to develop the final version of Bolster tested in the field trial. In phase 2, of the 11 caregivers, 10 (91%) reported that they would use Bolster if they had access to it and would recommend it to another caregiver. They also reported marked changes in their appraisals of illness (Cohen d=0.55-0.68), distress (Cohen d=1.77), and expressed emotion (Cohen d=0.52).

Conclusions
To our knowledge, this study is the first to design an mHealth intervention specifically for early psychosis caregivers. Preliminary data suggest that Bolster is usable, acceptable, and promising to improve key targets and outcomes. A future fully powered clinical trial will help determine whether mHealth can reduce caregiver burdens and increase engagement in services among individuals affected by psychosis.
TOOL FOR INTERACTIVE VISUAL ANALYSIS OF LARGE HIERARCHICAL DATA STRUCTURES
Authors: Frtunić Gligorijević Milena , Bogdanović Miloš , Veljković Nataša , Stoimenov Leonid 
Published: October 2023

In the Big Data era data visualization and exploration systems, as means for data perception and manipulation are facing major challenges. One of the challenges for modern visualization systems is to ensure adequate visual presentation and interaction. Therefore, within this paper, we present a tool for interactive visualization of data with a hierarchical structure. It is a general-purpose tool that uses a graph-based approach. However, its main focus is on the visual analysis of concept lattices generated as the output of the Formal Concept Analysis algorithm. As the data grow, concept lattice can become complex and hard for visualization and analysis. In order to address this issue, functionalities important for the exploration of the large concept lattices are applied within this tool. The usage of the tool is presented in the example of visualization of concept lattices generated based on the available data on the Canadas open data portal and can be used for exploring the usage of tags within datasets.
WILDCAT Grocery Stores: A Case Study on Information Systems and Data Analytics
Authors: Bierstaker James L. , Lombardi Danielle R. , Wang Wenru 
Published: October 2023

ABSTRACT
The current data environment spurs technological and business analytics innovations in both practice and research. Many large consulting firms invest heavily in technology to help business analysts develop skills in extracting and visualizing useful information from large sets of data. The purpose of this teaching case is to provide students with practice in data analytics techniques and consider computer-based systems in the revenue cycle. Students will read a teaching case based on a real grocery store chain, referred to as WILDCAT Grocery Stores, Inc.; evaluate its systems and use of technology for the revenue cycle; and apply data analytics to a large fictional transaction dataset for information extraction. In addition, we introduce the use of Python programming and visualizations into the case analysis to highlight the efficiency of newly emerging data analytics techniques.
Peningkatan Hasil Belajar IPS dengan Menggunakan Strategi Pembelajaran Team Quiz pada Kelas V Sekolah Dasar
Authors: Naadhiroh Faaizatun , Amaliyah Nurrohmatul 
Published: October 2023

Rendahnya hasil belajar IPS pada siswa sekolah dasar disebabkan karena kurangnya penggunaan strategi pembelajaran yang inovatif. Penelitian ini bertujuan untuk menganalisis peningkatan hasil belajar IPS dengan menggunakan strategi pembelajaran team quiz pada kelas V sekolah dasar. Subjek yang digunakan yakni siswa kelas V yang berjumlah 12 siswa terdiri dari 9 siswa laki-laki dan 3 siswa perempuan. Penelitian ini merupakan penelitian tindakan kelas yang mengacu pada model Kemmis dan Taggart. Penelitian ini dilakukan dalam 2 siklus yang terdiri dari tahap perencanaan, tindakan dan pengamatan, refleksi. Teknik pengumpulan data yang digunakan yakni wawancara, observasi, tes, dan dokumentasi. Pada tes hasil belajar siswa pada siklus I jumlah siswa yang tidak tuntas sebanyak 8 orang siswa (66,67 %) dan tuntas sebanyak 4 orang siswa (33,33 %) dengan nilai rata-rata hasil belajar pada siklus I berjumlah 57,94. Sedangkan pada tes hasil belajar siswa pada siklus II jumlah yang telah tuntas sebanyak 7 siswa (58,33 %) dan yang tidak tuntas sebanyak 5 orang siswa (41,67 %) dengan nilai rata-rata hasil belajar siklus II berjumlah 77,08. Hal ini menunjukkan bahwa terdapat peningkatan hasil belajar ips dengan menggunakan strategi pembelajaran team quiz kelas V sekolah dasar.
Solusi Numerik Model Penyebaran Penyakit Covid-19 Di Sulawesi Selatan Dengan Metode Runge-Kutta Orde Empat
Authors: Hikmawati Pathuddin  , Risnawati Ibnas  , Rismayanti  
Published: October 2023

Penelitian ini membahas mengenai solusi numerik pada model SIR dari penyakit Covid-19 dengan menggunakan metode runge-kutta orde empat untuk angka kasus covid-19 yang akan datang. Model SIR merupakan model yang terdiri dari tiga kompartemen, yaitu Susceptible (Populasi yang rentan terkena Covid-19), Infected (Populasi yang terinfeksi atau positif penyakit Covid-19), dan Recovered (populasi yang sembuh dari penyakit Covid-19). Model SIR yang diperoleh diselesaikan dengan metode runge-kutta orde empat. Hasil perhitungan yang diperoleh dengan menggunakan dapat pada tanggal 10 Januari 2021 yaitu untuk nilai awal S_0=11.339, I_0=31.047, dan R_0=26.816 dengan parameter β=0,0000003149686,μ=0,000000115033, dan γ=0,0000001331827. Untuk hari selanjutnya di 20 Januari 2021, diperoleh solusi numerik yaitu S=9.250,907, I=33.131,74, dan R=26.816,0853. Jumlah kasus terinfeksi Covid-19 meningkat dari hari ke hari.
Analisis Faktor Risiko Penyebab Diabetes Melitus dengan Menggunakan Regresi Logistik Biner
Authors: Rahma Sri Susanti  , Sri Dewi Anugrawati  , Fitrah  , Jusman Usman  , Yusrianto  
Published: October 2023

Penyakit Diabetes Melitus adalah salah satu penyakit tidak menular dengan jumlah penderita yang meningkat setiap tahunnya. Berdasarkan hasil Riset Kesehatan Dasar di tahun 2018, prevalensi penyakit Diabetes Melitus di Indonesia mengalami peningkatan pada umur >15 tahun. Oleh karena itu penelitian ini dilakukan untuk mengetahui faktor-faktor yang mempengaruhi seseorang menderita penyakit Diabetes Melitus. Pemahaman terhadap faktor-faktor yang mempengaruhi kejadian Diabetes Melitus dapat menjadi acuan untuk menurunkan risiko kejadian Diabetes Melitus. Pada penelitian ini digunakan model regresi logistik biner untuk melihat faktor apa saja yang mempengaruhi seseorang sehingga menderita penyakit Diabetes Melitus dengan mengambil data dari 42 orang pasien, baik yang menderita diabetes melitus maupun tidak, di area kerja Pos Binaan Terpadu (POSBINDU) Bone Tua Kecamatan Masamba Kabupaten Luwu Utara di Tahun 2022. Model regresi logistik biner adalah salah satu model regresi yang dapat melihat hubungan antara variabel-variabel bebas dengan variabel terikat berbentuk dikotomi (biner). Penelitian ini menggunakan 7 variabel bebas yaitu Jenis kelamin, umur, Pendidikan terakhir, pengetahuan terhadap penyakit Diabetes Melitus, riwayat keluarga yangmenderita Diabetes Melitus, pola makan, dan aktifitas fisik dan 1 variabel terikat yaitu penderita Diabetes Melitus. Hasil penelitian menunjukkan bahwa dari ketujuh variabel bebas hanya ada 4 variabel yang berpengaruh terhadap Penyakit Diabetes Melitus yang diderita seseorang yaitu variabel riwayat keluarga yang menderita Diabetes Melitus, pengetahuan terhadap penyakit Diabetes Melitus, pola makan, dan aktifitas fisik. Variabel riwayatkeluarga yang menderita Diabetes Melitus merupakan variabel yang berpengaruh sangat signifikan pada faktor risiko penyebab seseorang menderita Diabetes Melitus.