bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nomogram for Predicting Preoperative Regional Lymph Nodes Metastasis in Patients with Metaplastic Breast Cancer: A SEER Population-Based Study
Authors: Zhang Mi , Wang Biyuan , Liu Na , Wang Hui , Zhang Juan , Wu Lei , Zhao Andi , Wang Le , Zhao Xiaoai , Yang Jin 
Published: May 2021

Abstract
Background: Metaplastic breast cancer (MBC) is a rare subtype of breast cancer, and generally associated with poor outcomes. Lymph nodes metastasis (LNM) is confirmed as a critical independent prognostic factor and determine the optimal treatment strategies in MBC patients. We aimed to develop and validate a nomogram to predict the possibility of preoperative regional LNM in MBC patients.Methods: MBC patients diagnosed between 1990 and 2016 in the Surveillance, Epidemiology, and End Results (SEER) database were included and stochastically divided into a training set and validation set at a ratio of 7:3. The risk variables of regional LNM in the training set were determined by univariate and multivariate logistic regression analyses. And then we integrated those risk factors to construct the nomogram. The prediction nomogram was further verified in the verification set. The discrimination, calibration and clinical utility of the nomogram were evaluated by the area under the receiver operating characteristic (ROC) curve (AUC), calibration plots and decision curve analysis (DCA), respectively.Results: A total of 2205 female MBC patients were included in the study. Among the 2205 patients, 24.8% (546/2205) had positive regional lymph nodes. The nomogram for predicting the risk of regional LNM contained predictors of grade, estrogen receptor (ER) status and tumor size, with AUC of 0.683 (95% confidence interval (CI): 0.653-0.713) and 0.667 (95% CI: 0.621-0.712) in the training and validation sets, respectively. Calibration plots showed perfect agreement between actual and predicted regional LNM risks. At the same time, DCA of the nomogram demonstrated good clinical utilities.Conclusions: The nomogram established in this study showed excellent prediction ability, and could be used to preoperatively estimate the regional LNM risk in MBC.
Sweeping quantum annealing algorithm for constrained optimization problems
Authors: Yan Zheng , Zhou Zheng , Wang Yancheng , Meng ZiYang , Zhang Xue-Feng 
Published: May 2021

Abstract
As a typical quantum computing algorithm, quantum annealing is widely used in the optimization of glass-like problems to find the best solution. However, the optimization problems in constrained complex systems usually involve topological structures, and the performance of the quantum annealing algorithm is still largely unknown. Here, we take an Ising system as a typical example with local constraints accompanied by intrinsic topological properties that can be implemented on quantum computing platforms such as the D-wave machine, and study the effectiveness of the quantum annealing algorithm in its optimization and compare it with that of the thermal annealing. We find that although conventional quantum annealing is difficult for the optimization of constrained topological problems, a generalized algorithm --- the sweeping quantum annealing method --- can be designed and solve the problem with better efficiency than both conventional quantum and thermal annealing algorithms. The sweeping quantum annealing algorithm, therefore, opens up a promising avenue for quantum computing of constrained problems and can be readily employed on the optimizations in quantum material design, engineering, and even social sciences.
Assessing Preoperative Hope and Expectations Related to Functional Neurosurgery: A New Questionnaire
Authors: Radomska Michalina , Santos Joao Flores Alves dos , Weber Kerstin , Baertschi Marc , Burkhard Pierre R. , Herrmann François , Belayachi Sanaâ , Favez Nicolas , Canuto Alessandra 
Published: May 2021

Abstract
Background: Despite successful functional neurosurgery, patients suffering from epilepsy or Parkinson’s disease may experience postoperative psychological distress and social maladjustments. Difficulties in coping with postoperative changes, even positive ones, have shown to be related to patients’ presurgery cognitive representations (i.e., expectations, hope, abstract vs. concrete representations). The aim of this study was to develop an instrument assessing various key features of surgery outcomes’ representations, namely the Preoperative Hope and Expectations Questionnaire, PHEQ. Methods: Participants were patients (n = 50) diagnosed with Parkinson’s disease (n = 25) or epilepsy (n = 25), candidates for functional neurosurgery (i.e., Deep brain stimulation, anterior temporal lobectomy). At 2-3 weeks before the planned surgery, they were administrated items assessing their actual state, preoperative expectations, and hope regarding surgery outcomes. They also completed measures assessing optimism, quality of life and mood. Results: Exploratory analysis resulted in a 16-item version of the PHEQ composed of two factors (abstract representations, including psychological well-being and concrete representations, such as functional aspects of everyday functioning). The PHEQ demonstrated high internal consistency and good convergent validity. Patients were more prone to express postoperative improvements in terms of hope rather than expectations. They generally focused on concrete rather than abstract features, although patients with Parkinson’s disease had higher abstract future-oriented representations. Conclusions: The PHEQ presents satisfactory psychometric properties and may be considered as a reliable instrument for research and clinical practice.
Evaluation of the obesity influence on the life quality in patients with bronchial asthma
Authors: Zaikina Yulia , Cherednichenko Nataliia , Tymchenko Hanna , Kochuiev Gennadii , Kochuieva Maryna 
Published: May 2021

The obese asthma is characterized by a more severe course. The feature of this comorbid condition is the reduced effectiveness of basic therapy with inhaled corticosteroids, which prevents optimal control of symptoms, requires increasing doses and increases the number of exacerbations and hospitalizations. The problem of life quality (LQ) research in patients with asthma and obesity is highly relevant today, which made it the reason for this study.
The aim of the study was to determine the effect of obesity on LQ in patients with asthma.
Materials and methods. We selected for participating in the study 46 patients with moderate severity asthma. Examination of the patients included: objective examination with an anthropometric evaluation, the test of the LQ with two questionnaires: general one – Medical Outcome Study SF-36 (MOS SF-36) and specialized Asthma Quality of Life Questionnaire (AQLQ).
Results. The increase in body mass index (BMI) in patients with asthma according to the questionnaires MOS SF-36 and AQLQ is associated with significant reductions in viability (r=–0.33, p<0.05), physical activity (r=–0.37, p<0.01), social activity (r=–0.36, p <0.01) and the degree of reduction of the patient's tolerance to adverse environmental factors (r=–0.29, p<0.05)
Conclusions. The presence of concomitant obesity in patients with asthma is associated with significant reductions in the parameters of physical and social activity, viability and with an increase in the subjective pain assessment (according to the questionnaire MOS SF-36) and characterized by significantly lower rates of activity, tolerance to adverse environmental factors and general life quality (according to the AQLQ questionnaire).
Confirmation that the JAHK antigen is associated with the rG haplotype
Authors: Kosanke J. , Storry J.R. , Reid M.E. 
Published: May 2021

Abstract
Anti-JAHK, an antibody directed toward a low-incidence antigen in the Rh system, was detected during routine antibody identification in a male donor who had no history of transfusion. Examples of anti-JAHK have been found in sera containing multiple antibodies to low-incidence antigens. The first report of anti-JAHK was in 1995 and described the association of the JAHK antigen with the rG haplotype. Our results confirm this association.
Immunohematology 2002;18:46–47.
Use of Zebrafish Genetic Models to Study Etiology of the Amyloid-Beta
and Neurofibrillary Tangle Pathways in Alzheimer's Disease
Authors: Freeman Jennifer L. , Kiper Keturah 
Published: May 2021

:
The prevalence of neurodegenerative diseases is increasing globally, with an imperative
need to identify and expand the availability of pharmaceutical treatment strategies. Alzheimer's disease
is the most common neurodegenerative disease for which there is no cure and limited treatments.
Rodent models are primarily used in Alzheimer's disease research to investigate causes, pathology,
molecular mechanisms, and pharmaceutical therapies. However, there is a lack of a comprehensive
understanding of Alzheimer's disease causes, pathogenesis, and optimal treatments due
in part to some limitations of using rodents, including higher economic cost, which can influence
sample size and ultimately statistical power. It is necessary to expand our animal model toolbox to
provide alternative strategies in Alzheimer's disease research. The zebrafish application in neurodegenerative
disease research and neuropharmacology is greatly expanding due to several vital
strengths spanning lower economic costs, the smaller size of the organism, a sequenced characterized
genome, and well described anatomical structures. These characteristics are coupled to the conserved
molecular function and disease pathways in humans. The existence of orthologs for genes associated
with Alzheimer's disease in zebrafish is also confirmed. While wild-type zebrafish appear
to lack some of the neuropathological features of Alzheimer's disease, the advent of genetic editing
technologies has expanded the evaluation of the amyloid and neurofibrillary tangle hypotheses using
the zebrafish and exploration of pharmaceutical molecular targets. An overview of how genetic editing
technologies are being used on the zebrafish to create models to investigate the causes, pathology,
molecular mechanisms, and pharmaceutical targets of Alzheimer's disease is detailed.
Examining the Pro-Eating Disorders Community on Twitter Via the Hashtag #proana: Statistical Modeling Approach
Authors: Sukunesan Suku , Huynh Minh , Sharp Gemma 
Published: May 2021

Background
There is increasing concern around communities that promote eating disorders (Pro-ED) on social media sites through messages and images that encourage dangerous weight control behaviors. These communities share group identity formed through interactions between members and can involve the exchange of “tips,” restrictive dieting plans, extreme exercise plans, and motivating imagery of thin bodies. Unlike Instagram, Facebook, or Tumblr, the absence of adequate policy to moderate Pro-ED content on Twitter presents a unique space for the Pro-ED community to freely communicate. While recent research has identified terms, themes, and common lexicon used within the Pro-ED online community, very few have been longitudinal. It is important to focus upon the engagement of Pro-ED online communities over time to further understand how members interact and stay connected, which is currently lacking.

Objective
The purpose of this study was to explore beyond the common messages of Pro-ED on Twitter to understand how Pro-ED communities get traction over time by using the hashtag considered to symbolize the Pro-ED movement, #proana. Our focus was to collect longitudinal data to gain a further understanding of the engagement of Pro-ED communities on Twitter.

Methods
Descriptive statistics were used to identify the preferred tweeting style of Twitter users (either as mentioning another user in a tweet or without) as well as their most frequently used hashtag, in addition to #proana. A series of Mann Whitney U tests were then conducted to compare preferred posting style across number of followed, followers, tweets, and favorites. This was followed by linear models using a forward step-wise approach that were applied for Pro-ED Twitter users to examine the factors associated with their number of followers.

Results
This study reviewed 11,620 Pro-ED Twitter accounts that posted using the hashtag #proana between September 2015 and July 2018. These profiles then underwent a 2-step screening of inclusion and exclusion criteria to reach the final sample of 967 profiles. Over 90% (10,484/11,620) of the profiles were found to have less than 6 tweets within the 34-month period. Most of the users were identified as preferring a mentioning style of tweeting (718/967, 74.3%) over not mentioning (248/967, 25.7%). Further, #proana and #thinspo were used interchangeably to propagate shared themes, and there was a reciprocal effect between followers and the followed.

Conclusions
Our analysis showed that the number of accounts followed and number of Pro-ED tweets posted were significant predictors for the number of followers a user has, compared to likes. Our results could potentially be useful to social media platforms to understand which features could help or otherwise curtail the spread of ED messages and activity. Our findings also show that Pro-ED communities are transient in nature, engaging in superficial discussion threads but resilient, emulating cybersectarian behavior.
Acceptability of Research and Health Care Visits During the COVID-19 Pandemic: Cross-sectional Survey Study
Authors: Ross Kathryn M , Hong Young-Rock , Krukowski Rebecca A , Miller Darci R , Lemas Dominick J , Cardel Michelle I 
Published: May 2021

Background
The COVID-19 pandemic has had a widespread impact on attendance in biomedical research and health care visits.

Objective
This study aimed to identify when and how American adults might feel comfortable about resuming in-person research and health care visits.

Methods
Cross-sectional questionnaire data were collected from 135 adults (age: median 48 years; women: n=113, 83.7%; White participants: n=92, 68.2%) who were engaged in health-related research.

Results
More than half of the respondents (65/122, 53.3%) felt that the COVID-19 pandemic positively affected their desire to participate in research. Although 73.6% (95/129) of respondents also indicated a willingness to attend in-person health care visits while Centers for Disease Control and Prevention (CDC) guidelines are implemented, 85.8% (109/127) indicated a willingness to attend in-person, outdoor visits, and 92.2% (118/128) reported a willingness to attend drive-through visits (with CDC guidelines implemented during both visit types). Videoconferencing was the most preferred format for intervention visits; however, adults over the age of 65 years preferred this format less than younger adults (P=.001).

Conclusions
Researchers and clinicians should continue to provide opportunities for continuing the conduction of remote-based interventions while enforcing CDC guidelines during in-person visits.
Building on Lessons Learned in a Mobile Intervention to Reduce Pain and Improve Health (MORPH): Protocol for the MORPH-II Trial
Authors: Fanning Jason , Brooks Amber K , Hsieh Katherine L , Kershner Kyle , Furlipa Joy , Nicklas Barbara J , Rejeski W Jack 
Published: May 2021

Background
Engaging in sufficient levels of physical activity, guarding against sustained sitting, and maintaining a healthy body weight represent important lifestyle strategies for managing older adults’ chronic pain. Our first Mobile Health Intervention to Reduce Pain and Improve Health (MORPH) randomized pilot study demonstrated that a partially remote group-mediated diet and daylong activity intervention (ie, a focus on moving often throughout the day) can lead to improved physical function, weight loss, less pain intensity, and fewer minutes of sedentary time. We also identified unique delivery challenges that limited the program’s scalability and potential efficacy.

Objective
The purpose of the MORPH-II randomized pilot study is to refine the MORPH intervention package based on feedback from MORPH and evaluate the feasibility, acceptability, and preliminary efficacy of this revised package prior to conducting a larger clinical trial.

Methods
The MORPH-II study is an iteration on MORPH designed to pilot a refined framework, enhance scalability through fully remote delivery, and increase uptake of the daylong movement protocol through revised education content and additional personalized remote coaching. Older, obese, and low-active adults with chronic multisite pain (n=30) will be randomly assigned to receive a 12-week remote group-mediated physical activity and dietary weight loss intervention followed by a 12-week maintenance period or a control condition. Those in the intervention condition will partake in weekly social cognitive theory–based group meetings via teleconference software plus one-on-one support calls on a tapered schedule. They will also engage with a tablet application paired with a wearable activity monitor and smart scale designed to provide ongoing social and behavioral support throughout the week. Those in the control group will receive only the self-monitoring tools.

Results
Recruitment is ongoing as of January 2021.

Conclusions
Findings from MORPH-II will help guide other researchers working to intervene on sedentary behavior through frequent movement in older adults with chronic pain.

Trial Registration
ClinicalTrials.gov NCT04655001; https://clinicaltrials.gov/ct2/show/NCT04655001

International Registered Report Identifier (IRRID)
PRR1-10.2196/29013
The Verb “To Cut” in Nias Middle Dialect: The Study of Natural Semantic Metalanguage (NSM)
Authors: Ndruru Fransiskus , I Wayan Budiarta  , Ni Wayan Kasni  
Published: May 2021

Nias middle dialect is one of dialects used by people living on Nias island that administratively belongs to North Sumatra Province of Indonesia. The lack of studies on the language especially in semantics field was the main motivation in conducting this research. Another thing that also strongly supported the conduct of this research was a phenomenon in which some verbs semantically related to verb 'to cut' were rarely used by speakers of Nias middle dialect. Therefore, this study was conducted with the aims of discovering the verbs that have semantic relation to the verb “to cut” and describing the meaning of the verbs by employing the Natural Semantic Metalanguage theory of Wierzbicka (1996) in the qualitative research design. To collect the data, cakap method was applied which is supported by pancing and rekam techniques. In analyzing the data, padan method was applied. Based on the results of data analysis, it was revealed that there were forty-seven Nias middle dialect verbs that semantically related to the verb 'to cut'. In accordance with the results of the explication of meaning, the verbs can be classified into three groups, namely verbs that are done with tools, verbs that are done without tools, and verbs that can be done with or without tools. This phenomenon shows that Nias people do a lot of cutting activities in their social lives.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PROFITABILITAS DAN IMPLIKASINYA PADA CORPORATE VALUE
Authors: Aria Aji Priyanto  
Published: May 2021

Penelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi Profitabilitas Perusahaan yang terdiri dari Ukuran Perusahaan, Likuiditas dan Leverage untuk mengetahui implikasinya terhadap Corporate Value. Corporate value diukur menggunakan perhitungan Indeks Tobins Q. Jenis penelitian ini menggunakan kausal komparatif dengan pendekatan kuantitatif. Populasi penelitian ini adalah perusahaan Sub Sektor Transportasi yang terdaftar di Bursa Efek Indonesia selama tahun 2010-2017 dengan penetapan sampel akhir 7 perusahaan. Metode analisis data dilakukan dengan analisis jalur dan menggunakan teknik sobel test. Faktor-faktor yang mempengaruhi Profitabilitas yang terdiri dari Ukuran Perusahaan, Likuiditas dan Leverage hanya dibuktikan melalui likuiditas berpengaruh negatif terhadap profitabilitas perusahaan sedangkan profitabilitas berpengaruh positif terhadap corporave value. Ukuran Perusahaan dan leverage tidak berpengaruh signifikan terhadap profitabilitas perusahaan. Akhirnya, faktor Ukuran Perusahaan, Likuiditas, dan Leverage pada penelitian ini tidak mampu mengevaluasi Corporate Value melalui Profitabilitas yang difungsikan sebagai variabel intervening.
OPTIMALISASI PROFITABILITAS PERBANKAN MELALUI PENGELOLAAN KECUKUPAN MODAL DAN LIKUIDITAS SERTA RISIKO KREDIT
Authors: Wardani Made Kusuma , Ningsih Ni Luh Anik Puspa , Dewi Made  Pratiwi 
Published: May 2021

Sebagai lembaga intermediary, bank berfungsi menerima serta menyalurkan dana serta berperan dalam transaksi keuangan lainnya. Bank dalam menghadapi persaingan di industry perbankan, hendaknya memiliki kinerja yang stabil dan bahkan meningkat. Salah satu ukuran pencapaian kinerja perbankan adalah profitabilitas. Profitabilitas merupakan kemampuan perusahaan dalam menghasilkan keuntungan (laba). Adapun tujuan dari penelitian ini untuk menganalisis optimalisasi profitabilitas perbankan melalui pengelolaan kecukupan modal dan likuiditas serta risiko kredit. Penelitian ini meneliti salah satu lembaga keuangan mikro yaitu BPR. Populasi dari penelitian ini adalah BPR di Provinsi Bali berjumlah 136 perusahaan. Dengan metode purposive sampling diperoleh sampel sebanyak 39 perusahaan. Penelitian ini mempergunakan data sekunder dari laporan keuangan BPR dengan teknik analisis Path Analisis. Berdasarkan hasil analisis ditemukan, (1) Kecukupan Modal berpengaruh positif dan signifikan terhadap Profitabilitas, (2) Likuiditas berpengaruh positif dan signifikan terhadap Profitabilitas, (3) Risiko Kredit berpengaruh negatif dan signifikan terhadap Profitabilitas, (4) Kecukupan Modal berpengaruh positif dan signifikan sebesar terhadap Risiko Kredit, (5) Likuiditas berpengaruh negatif dan tidak signifikan terhadap Risiko Kredit, (6) Risiko Kredit tidak mampu memediasi kecukupan modal terhadap nilai Profitabilitas (7) Risiko Kredit tidak memediasi likuiditas terhadap Profitabilitas
Comprehensive Data Analytics Project Using Excel and Tableau for the Sales and Purchases Cycles
Authors: Schuele Karen , Felski Elizabeth 
Published: May 2021

ABSTRACT
Using materials from PwC's data analytics case study using a fictitious company, Pixystems Toy Company, Inc. (PwC 2017), the authors developed a comprehensive, multi-part data analytics project that is applicable for a variety of accounting courses. The project follows the common data analytics framework (ask the right questions, extract, transform, and load [ETL] the data, perform appropriate analyses, and present the results). Students apply this framework to the sales and purchases cycles. For each, students develop relevant questions, build a data model, and perform other ETL procedures, perform analytics, and prepare a presentation to convey insights and recommendations. For the sales cycle, Microsoft Excel is the analytics tool; for the purchases cycle, Tableau is used. This project provides an opportunity for students to gain experience with two analytics tools, understand the process of building a data model, and wrestle with how to convey the results of their analysis.