bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mapping the Cross-Border Influence of Regional and International Reproductive Rights Cases
Authors: Mayall Katherine , Zampas Christina , Grimà Algora Rosario 
Published: August 2024

Abstract
International and regional human rights mechanisms are essential tools for ensuring access to justice for human rights violations and advancing measures of non-repetition, such as domestic law and policy reform. Scholarship on the impacts of these mechanisms have largely centred on the resulting domestic law and policy reform in the countries at issue in these cases and the resulting normative standards human rights bodies have established. The cross-fertilization of these cases among other international and regional human rights mechanisms and domestic courts remains an important but underexplored aspect of how such cases influence progress towards the realization of human rights. Through the lens of four landmark cases on sexual and reproductive health and rights, this article examines the influence of these cases in jurisprudence from across the globe, demonstrating how such decisions have reverberated across borders. These rippling effects of strategic litigation constitute an important impact that should be taken into account when evaluating the influence and efficacy of these mechanisms.
Translocations, rising populations, and phylogeographic consequences: genomic implications for conservation of introduced Aoudad (Ammotragus lervia) in the southwestern United States
Authors: Wright Emily A , Bradley Robert D , Manthey Joseph D 
Published: August 2024

Abstract
Over the last century, Texas has been inundated with exotic ungulates, with as many as 67 species represented by captive and free-ranging populations. One of the most successful species to have established free-ranging populations is the Aoudad (Ammotragus lervia). Herein, we expand on previous genetic studies in Aoudad by including new genomic profiles based on double-digest restriction site-associated DNA sequencing methods with the intent of better understanding the effects of &gt;70 years of human-mediated translocations, population expansion, and gene flow among populations. Using a range of 4,338 to 5,529 single-nucleotide polymorphisms obtained from 73 individuals that potentially represented A. l. blainei, A. l. lervia, and A. l. sahariensis, we measured genetic patterns of diversity and connectivity between source populations from California and New Mexico and resultant aoudad populations in Texas. Principal component analyses identified phylogeographically structured populations across Texas. Further, we identified a signature of isolation by distance among Texas populations. To assess geographic regions that facilitated or blocked gene flow between populations, we used estimation of effective migration surfaces, which indicated 3 barriers to movement between populations as well as connectivity among populations in close proximity. Comparison of mtDNA haplogroups and nuclear genotypes among the 3 examined subspecies were discordant, indicating that the current subspecific taxonomic classification needs refinement. Given the vulnerable status of Aoudad in their native range of northern Africa and the exponential population growth and potential competition with native ungulates in Texas, we propose that efforts to manage non-native Aoudad should strive to maintain and preserve unique genetic units while minimizing competition and other detriments to native species in Texas. Conservation efforts are especially important given the vulnerable status of Aoudad within their native range of northern Africa.
Item response theory analysis of benefits and harms of cannabis use in cancer survivors
Authors: Jones Salene M W , Ton Mimi , Malen Rachel C , Newcomb Polly A , Heffner Jaimee L 
Published: August 2024

Abstract
Medical cannabis with cancer as a qualifying condition has become legalized in more states, but currently there are no standardized measures of perceived benefits and harms of cannabis use in cancer. This study surveyed a population-based sample of cancer survivors (n = 1539) with various types of cancer including breast (25%), prostate (17%), and gastrointestinal (11%) cancers. Item response theory analyses were used to evaluate the items for measuring perceived benefits and harms. Item response theory evaluates survey items by estimating the accuracy (analogous to reliability) and severity reflected by each item. Item response theory analyses showed all the items were accurate (reliable) measures of perceived benefits or harms. The perceived benefits items assessed beliefs well from low to high levels of perceived benefits. The perceived harms items assessed beliefs from moderate to high levels of perceived harms. The items can be used in future studies to standardize measurement while allowing some customization.
Patient-provider communication about the use of medical cannabis for cancer symptoms: a cross-sectional study
Authors: Turner Kea , Nguyen Oliver T , Islam Jessica Y , Rajasekhara Sahana , Martinez Yessica C , Tabriz Amir Alishahi , Gonzalez Brian D , Jim Heather S L , Egan Kathleen M 
Published: August 2024

Abstract

Background
There has been limited study regarding patient-provider communication about medical cannabis for cancer symptom management. To address this gap, this study assesses the determinants and prevalence of patient-provider communication about the use of medical cannabis for cancer symptoms at a National Cancer Institute–designated Comprehensive Cancer Center.

Methods
Individuals who completed cancer treatment from July 2017 to December 2019 were invited to participate in a survey regarding medical cannabis. An electronic survey was administered in English and Spanish from August to November 2021 and completed by 1592 individuals (response rate = 17.6%).

Results
About one-third (33.5%) of participants reported discussing medical cannabis for cancer symptom management with a health-care provider. Controlling for other factors, individuals with malnutrition and/or cachexia had higher odds (odds ratio [OR] = 2.30, 95% confidence interval [CI] = 1.50 to 3.53) of reporting patient-provider discussions compared with individuals without malnutrition and/or cachexia. Similarly, individuals with nausea had higher odds (OR = 1.94, 95% CI = 1.44 to 2.61) of reporting patient-provider discussions compared with individuals without nausea. A smaller percentage (15.6%) of participants reported receiving a recommendation for medical cannabis for cancer symptom management. Among individuals who reported using cannabis, a little over one-third (36.1%) reported not receiving instructions from anyone on how to use cannabis or determine how much to take.

Conclusions
Overall, our study suggests that patient-provider communication about medical cannabis for cancer symptom management is limited. As interest and use of medical cannabis continues to grow among cancer patients, there is a need to ensure patients have access to high quality patient-provider communication.
Cancer stage and consideration of cannabis use among adult cancer survivors in Southern California
Authors: Kasiri Nasim , Banegas Matthew , Nodora Jesse , Martinez Maria Elena , Strong David , Doran Neal , McDaniels-Davidson Corinne , Parada Jr Humberto 
Published: August 2024

Abstract

Background
The benefits of cannabis in symptom management among cancer survivors are widely acknowledged; however, patterns of cannabis use by cancer stage at diagnosis are unknown.

Methods
Here, we examined the association between cancer stage at diagnosis and consideration of cannabis use since diagnosis. We analyzed cross-sectional survey data from 954 cancer survivors, weighted to be representative of a National Cancer Institute–Designated Comprehensive Cancer Center’s patient population. We used survey-weighted multivariable logistic regression to examine the association between cancer stage at diagnosis (advanced [III/IV] versus non-advanced [I/II]) and consideration of cannabis use (yes versus no) since diagnosis.

Results
Sixty percent of the population was diagnosed with non-advanced stages of cancer, and 42% had considered using cannabis since diagnosis. The odds of consideration of cannabis use were 63% higher (odds ratio = 1.63, 95% confidence interval = 1.06 to 2.49) among cancer survivors diagnosed at stages III/IV than among those diagnosed at stages I/II.

Conclusion
Cancer stage may be a predictor of consideration of cannabis use after diagnosis.
Data quality in a survey of registered medical cannabis users with cancer: nonresponse and measurement error
Authors: Ziegenfuss Jeanette Y , Parsons Helen M , Blaes Anne H , Lindgren Bruce , Andersen Julia , Park Susan , Jewett Patricia I , Gupta Arjun , Zylla Dylan M 
Published: August 2024

Abstract
Cannabis use among individuals with cancer is best understood using survey self-report. As cannabis remains federally illegal, surveys could be subject to nonresponse and measurement issues impacting data quality. We surveyed individuals using medical cannabis for a cancer-related condition in the Minnesota Medical Cannabis Program (MCP). Although survey responders are older, there are no differences by race and ethnicity, gender, or receipt of reduced cannabis registry enrollment fee. Responders made a more recent purchase and more recently completed an independent symptom assessment for the registry than nonresponders, suggesting some opportunity for nonresponse error. Among responders, self-report and MCP administrative data with respect to age, race, gender, registry certification, and cannabis purchase history were similar. Responders were less likely to report receipt of Medicaid than would be expected based on registry low-income enrollment eligibility. Although attention should be paid to potential for nonresponse error, surveys are a reliable tool to ascertain cannabis behavior patterns in this population.
Ethnic differences in the patterns, sources, and reasons for cannabis use among cancer patients at an NCI-Designated Cancer Center
Authors: Vidot Denise C , Baral Amrit , Hernandez-Ortega Nicolas , Diggs Bria-Necole A , Islam Jessica Y , Camacho-Rivera Marlene , Martinez Claudia , Penedo Frank 
Published: August 2024

Abstract

Objective
This study aims to describe patterns, sources, and reasons for cannabis use among cancer patients by ethnic group.

Methods
Data are from a cross-sectional study of 416 surveys collected via RedCap anonymously from adult cancer patients seen at a National Cancer Institute–designated comprehensive cancer center within the last 5 years. A harmonized survey was created with 11 other National Cancer Institute centers to assess cannabis use patterns, sources, and reasons for use. Sociodemographics and cancer details were also collected via self-report. Descriptive statistics by ethnic group were compared using χ2 and Fisher exact tests.

Results
Among the sample (age mean = 50.4 [15.7] years; 53% male; 8.3% lesbian, gay, bisexual, transgender, queer; 46.7% Hispanic and Latinx individuals), 69.6% reported lifetime use of cannabis, 33.7% began cannabis use after cancer diagnosis, 48.1% of those consuming cannabis did not have a prescription for cannabis, and 29.4% of cannabis users consumed daily. The frequency of cannabis use (P = .04) and reasons for cannabis use (P = .02) varied by ethnic group. Sleep and pain were the most prevalent reasons for use among the Hispanics and Latinx populations; pain, mental health management, and neuropathy were the most prevalent reasons for cannabis use among non-Hispanic White individuals.

Conclusions
Patterns and reasons for cannabis use differed among cancer patients by ethnic group in this exploratory cross-sectional study aimed to provide data for more rigorous study. Understanding these distinctions are pivotal in conducting more rigorous studies that address the unique needs of diverse populations utilizing cannabis for managing cancer-related symptoms.
A survey of patients with cancer and oncology health-care professionals about cannabis use during treatment
Authors: Lee Richard T , Kim Elyssa , Mendiratta Prateek , Farrell Megan , Finklea Shalena , Huang Lauren , Trapl Erika , Gerson Stanton , Cullen Jennifer 
Published: August 2024

Abstract

Background
This study characterizes patient and health-care professional perspectives regarding medical cannabis use at a National Cancer Institute–Designated Cancer Center. Data evaluated included the prevalence and patterns of and reasons for cannabis use.

Methods
Patients with cancer undergoing treatment were recruited into a cross-sectional survey as part of a national National Cancer Institute–funded effort. Participants completed a survey about cannabis use, reasons for use, and types of cannabis. A health-care professional survey was also conducted to explore perspectives regarding patients’ use of cannabis.

Results
A total of 313 patients with cancer (mean [SD] age = 60.7 [12.8] years) completed the survey (43% response rate) between 2021 and 2022. Of the respondents, 58% were female; identified as White (61%) and Black (23%); and had diverse cancer diagnoses. Nearly half of respondents (43%) had previously used cannabis, one-quarter (26%) had used cannabis since their cancer diagnosis, and almost 1 in 6 (17%) were actively using cannabis at the time of survey completion. The most common modes of ingestion were gummies (33%) and smoking (30%). The most commonly reported reasons for use were insomnia (46%), pain (41%), and mood (39%). For the 164 health-care professionals who completed the survey (25% response rate), the majority agreed that cannabis use (72%) is safe and beneficial for patients (57%). Four in 10 (39%) health-care professionals felt comfortable providing guidance to patients about cannabis use; however, only 1 in 8 (13%) felt knowledgeable about the topic of cannabis.

Conclusions
Approximately one-sixth of patients with cancer receiving treatment actively use cannabis for management of various cancer symptoms. Perceptions about cannabis use and education varied widely among health-care professionals.
Overview of cancer patient perspectives on cannabis use during treatment
Authors: Helzlsouer Kathy J , Rosenfield Sonia M , Freedman Andrew N , Ellison Gary L 
Published: August 2024

AbstractExpanding legal access to medical cannabis across the United States increases availability and use of cannabis products to manage cancer-related symptoms and treatment side effects despite the lack of research-based evidence on its potential benefits and harms. To address knowledge gaps in how cancer patients access and use cannabis, their perceived risks and benefits with its use, and whether cancer patients discuss cannabis use with their healthcare providers during treatment, the National Cancer Institute (NCI) supported 12 NCI-designated comprehensive cancer centers to conduct surveys, which included NCI standardized core questions on cannabis use during treatment, among their cancer patient populations. This overview highlights key results from the articles contained in the monograph, which includes a summary of the results of core questions across all centers and reports from individual or groups of cancer centers on survey results related to the sourcing of cannabis, associated cost, behavioral factors associated with cannabis use (such as smoking, drinking, or using other substances), patient-provider communication on cannabis use during treatment, ethnic variations in patterns, sources, and reasons for cannabis use as well as methodologic concerns related to survey data analysis. The results of these surveys of cannabis use after the diagnosis of cancer lay the groundwork for much-needed research to answer the questions of benefits and harms, including potential interactions with cancer treatments for cancer patients.
A multidisciplinary approach to managing severe gummy smile using 3D simulation and digital surgical guide: a case report
Authors: Viet Hoang , Thi Nhu Thao Dang , Phuoc Tran Hong , Quang Tien Nguyen 
Published: August 2024

Abstract
A smile that reveals &gt;4 mm of gum tissue is called a gummy smile (GS), offering negative impacts on people’s self-confidence and aesthetic appearance. The treatment for GS should be planned according to underlying causes such as altered passive eruption of teeth, dentoalveolar extrusion, vertical maxillary excess, and short or hyperactive lip muscles. In this case report, a patient with severe GS received orthodontic and gingivoplasty treatment, aided by digital tools such as 3D simulation, smile design, and 3D printed guides. The treatment yielded remarkable and satisfactory results, without the need for extensive surgery. Our findings suggest that gingivoplasty is a minimally invasive, time- and cost-effective alternative to more extensive procedures for correcting severe gum recession.
Linking Survey and LinkedIn Data: Understanding Usage and Consent Patterns
Authors: Al Baghal Tarek , Wenz Alexander , SerÔdio Paulo , Liu Shujun , Jessop Curtis , Sloan Luke 
Published: August 2024

Abstract
Linking social media and survey data allows researchers to create novel metrics, track survey respondents longitudinally, and capture real-time intricate data. LinkedIn is a social networking platform with a strong emphasis on employment and business interactions which has not been explored in a survey data linkage context previously. Using a nationally representative panel survey, we explore the feasibility of linking survey and LinkedIn data. Our analysis focuses first on understanding the demographic profile of LinkedIn users in the UK, as understanding this context shows the coverage of who can be asked to consent. We then explore consent outcomes, assessing the impact of question placement and wording on participants’ willingness to link data, and identifying other factors associated with LinkedIn consent. Our findings reveal that a notable proportion of respondents have a LinkedIn account, indicating a higher usage rate compared to previous research. Employment status, education level, and income are key determinants of having a LinkedIn account. Unlike previous studies, consent placement and wording does not have a significant influence on participants’ willingness to link LinkedIn and survey data. However, social media posting frequency and possessing a university degree are associated with higher consent rates. Although LinkedIn users differ on certain demographic characteristics, the platform’s unique focus on professional networking and career-related activities presents valuable opportunities for investigating employment and economic outcomes.
Longitudinal Nonresponse Prediction with Time Series Machine Learning
Authors: Collins John , Kern Christoph 
Published: August 2024

Abstract
Panel surveys are an important tool for social science researchers, but nonresponse in any panel wave can significantly reduce data quality. Panel managers then attempt to identify participants who may be at risk of not participating using predictive models to target interventions before data collection through adaptive designs. Previous research has shown that these predictions can be improved by accounting for a sample member’s behavior in past waves. These past behaviors are often operationalized through rolling average variables that aggregate information over the past two, three, or all waves, such as each participant’s nonresponse rate. However, it is possible that this approach is too simple. In this paper, we evaluate models that account for more nuanced temporal dependency, namely recurrent neural networks (RNNs) and feature-, interval-, and kernel-based time series classification techniques. We compare these novel techniques’ performances to more traditional logistic regression and tree-based models in predicting future panel survey nonresponse. We apply these algorithms to predict nonresponse in the GESIS Panel, a large-scale, probability-based German longitudinal study, for surveys conducted between 2013 and 2021. Our findings show that RNNs perform similar to tree-based approaches, but the RNNs do not require the analyst to create rolling average variables. More complex feature-, interval-, and kernel-based techniques are not more effective at classifying future respondents and nonrespondents than RNNs or traditional logistic regression or tree-based methods. We find that predicting nonresponse of newly recruited participants is a more difficult task, and basic RNN models and penalized logistic regression performed best in this situation. We conclude that RNNs may be better at classifying future response propensity than traditional logistic regression and tree-based approaches when the association between time-varying characteristics and survey participation is complex but did not do so in the current analysis when a traditional rolling averages approach yielded comparable results.
Sharenting as a regulatory paradox – a comprehensive overview of the conceptualization and regulation of sharenting
Authors: Lendvai Gergely Ferenc 
Published: August 2024

Abstract
The present study aims to provide a comprehensive overview of the conceptualization and regulation of sharenting, a new media phenomenon strongly intertwined with the online sphere. Through a comprehensive literature review and legal analysis, the article analyses a wide array of academic sources, case studies, and sources of law to understand the polemics and implications of sharenting. The study provides a systemic overview of sharenting definitions to provide a synchronized concept. A significant portion of the research is dedicated to a comparative legal analysis of international regulations. The article examines the UN Convention on the Rights of the Child, the US Children’s Online Privacy Protection Act, and the European General Data Protection Regulation to assess their effectiveness in addressing the issues related to sharenting. Findings reveal that while these regulations provide some protection, they often fall short in fully safeguarding children’s digital identities from the risks associated with sharenting. To opt for a more activist approach, the article concludes with 17 recommendations aimed at both parents and policymakers. These recommendations include practical steps for parents to protect their children’s privacy online and suggestions for policymakers to enhance existing regulatory frameworks.
The Spectrum Between Catatonia and Functional Neurologic Disorder Superimposed on Post-Infectious Encephalitis in a Marine Recruit
Authors: Rogers Sydney , Lilley Jessica , Raynor Geoffrey , Hodges Sarah , Larson Derek 
Published: August 2024

ABSTRACT
Catatonia, a neuropsychiatric condition characterized by abnormal speech, volition, and movement, is primarily thought of as a symptom of a primary psychiatric pathology, but there are a variety of non-psychiatric medical conditions that must be considered. As a result of symptomatic complexity and the wide range of differential diagnoses, catatonia-like symptoms can cloud the clinical evaluation and complicate treatment regimens. Within the realm of catatonic-like diagnoses is functional neurological disorder because of its vast range of potential presentations. Functional neurologic disorder can be diagnosed by evidence of incompatibility between neurologic symptoms and recognized neurological or medical conditions. Clinical uncertainty is further intensified in the presence of co-morbid medical etiologies because of inability to neatly delegate symptoms to a specific diagnosis. The blurred spectrum between catatonia and functional neurologic disorder is highlighted in this patient’s complex clinical presentation while being further obscured in the setting of a possible overlying encephalitis exacerbating the presentation. This case report presents a unique case of a Marine recruit whose inconsistent catatonic symptoms caused diagnostic uncertainty and were ultimately decided to have neurologic and psychiatric contributions, highlighting that diagnoses are not mutually exclusive and should be continually re-assessed as new data become available. This report also showcases the distinctiveness of U.S. Marine culture and possible physical manifestations because of imposed psychological stress.