bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of CPAP on cognitive function in stroke patients with obstructive sleep apnoea: a meta-analysis of randomised controlled trials
Authors: Yang Yingxia , Wu Weiqi , Huang Honghong , Wu Haining , Huang Junying , Li Liya , Wang Lingxing 
Published: January 2023

ObjectiveTo investigate the effect of continuous positive airway pressure (CPAP) treatment on cognitive function in stroke patients with obstructive sleep apnoea (OSA) by exploring randomised controlled trials (RCTs).MethodsPublished RCTs that assessed the therapeutic effects of CPAP on cognition in stroke patients with OSA, compared with controls or sham CPAP, were included. Electronic databases, including MEDLINE, Embase and Cochrane library, were searched in October 2020 and October 2021. Risk of bias was assessed using the Cochrane collaboration tools. A random effects or fixed effects model was used according to heterogeneity. The outcomes were global cognitive gain, improvement in cognitive domain and subjective sleepiness.Results7 RCTs, including 327 participants, comparing CPAP with control or sham CPAP treatment were included. 6 RCTs with 270 participants reported results related to global cognition, and CPAP treatment had no significant effects on global cognitive gain in stroke patients with OSA (standardised mean difference (SMD), 0.18; 95% CI, –0.07 to 0.42; p=0.153). A subgroup analysis showed that an early start to (<2 weeks post stroke) CPAP treatment after stroke significantly improved global cognition (SMD, 0.66; 95% CI, 0.18 to 1.14; p=0.007), which was not found in the case of a delayed start to CPAP treatment. However, CPAP did not significantly help with memory, language, attention or executive function. Moreover, CPAP therapy significantly alleviated subjective sleepiness (SMD, −0.73; 95% CI, –1.15 to −0.32; p≤0.001).ConclusionsEarly initiation of CPAP treatment might contribute to improvement in global cognition in stroke patients with OSA. This study had the following limitations: the sample size in each included study was relatively small; the scales related to cognitive assessment or subjective sleepiness were inconsistent; and the methodological quality was not high. Future trials should focus on including a greater number of stroke patients with OSA undergoing CPAP treatment.PROSPERO registration numberCRD42020214709.
MyTPill: study protocol for a cross-over randomised controlled trial comparing novel strategies to monitor antiretroviral adherence among HIV+ prescription opioid users
Authors: Bischof Jason J , Chai Peter , Mohamed Yassir , Padappayil Rana , Merchant Roland C , Boyer Edward W , Rosen Rochelle , Reyes-Gibby Cielito C , Viamonte Michael , W Carrico Adam 
Published: January 2023

IntroductionAdherence to HIV antiretroviral therapy (ART) remains the cornerstone of HIV treatment. For individuals with suboptimal adherence, electronic adherence monitoring (EAM) technologies have become an important component of multimodal adherence support strategies. Most EAM technologies detect pillbox opening, and therefore, assume but cannot verify actual ingestion of oral medication. In contrast, a digital pill system (ID-capsule manufactured by etectRX, here named My/Treatment/Pill) measures directly ingestion of medications. Identifying the superior method to measure ART adherence would improve virological suppression by enabling the delivery of real-time interventions to support ART adherence, particularly in high-risk populations.Methods and analysisCross-over, randomised trial with 1:1 variable block size randomisation comparing two EAM systems in prescription opioid-using HIV+patient on once daily oral bictegravir, emtricitabine and tenofovir alafenamide regimens and detectable viral load >200 copies/mL within 30 days of screening (n=80). The primary outcome is once daily ART adherence measurement efficacy as assessed by comparing the accuracy of each EAM system as measured by concordance of the respective EAM systems to dried blood spot ART concentrations. Secondary outcomes are the identification of multilevel factors that are prevalent in the target population most closely linked to ART non-adherence and EAM non-adherence.Ethics and disseminationThis protocol was approved by the institutional review boards of participating sites (The Ohio State University, The Fenway Institute and the University of Miami). Data will be presented at scientific conferences and published in peer-reviewed journals.Trial registration numberNCT03978793.
Challenges and outcomes of implementing a national syphilis follow-up system for the elimination of congenital syphilis in Cambodia: a mixed-methods study
Authors: Delvaux Thérèse , Ouk Vichea , Samreth Sovannarith , Yos Socheata , Tep Romain , Pall Chamroen , Keo Vannak , Deng Serongkea , Khin Cho Win Htin , Hul Sivantha , Chhorn Somnang , Tuot Sovannary , Kim Rattana 
Published: January 2023

ObjectivesWe aimed to describe the challenges and outcomes of implementing a national syphilis follow-up system to improve syphilis management in maternal and child health (MCH) services in Cambodia.DesignOperational study; quantitative cohort data and cross sectional qualitative data.SettingPublic health facilities at national level and in four provinces with high syphilis prevalence in Cambodia.ParticipantsPregnant women screened for syphilis; MCH health care providers and managers.MethodsWe conducted an operational research using syphilis screening and treatment data collected from a national follow-up system (cohort data) and reported in the health management information system (HMIS) between 2019 and 2020. We also conducted indepth interviews with 16 pregnant women and focus group discussions with 37 healthcare providers and managers. Descriptive statistics and thematic content analysis were used.Outcome measuresSyphilis testing and treatment results and perceptions regarding these services.ResultsA total of 470 pregnant women who tested positive in rapid syphilis testing were recorded in the national syphilis follow-up system in 2019–2020. Of these, 71% (332 of 470) received a rapid plasma reagin (RPR) test and 95% (n=315) tested positive; 78% (246 of 315) received any syphilis treatment and only 28% (88 of 315) were treated adequately with benzathine penicillin G (BPG). Data from four provinces with high syphilis prevalence (more closely monitored) showed higher testing and treatment rates than at the national level. HMIS aggregated data reported a higher number of pregnant women screened and treated for syphilis than the follow-up system during the same period. Barriers to syphilis testing and treatment included late antenatal care, long distance to RPR testing and treatment, partners’ lack of support to reach the health facility, BPG stockout and poor adherence to oral treatment in the absence of BPG. Providers and managers reported a lack of communication across services, insufficient skills to treat infants and absence of clear guidance regarding the revised follow-up system. Study findings contributed to changes in operating procedures nationwide to facilitate access to syphilis testing and adequate treatment and a systematic follow-up of pregnant women and exposed infants.ConclusionsStudy results contributed to informing improvements to syphilis management in MCH services in Cambodia.
Accuracy of self-diagnosis in conditions commonly managed in primary care: diagnostic accuracy systematic review and meta-analysis
Authors: McLellan Julie , Heneghan Carl , Roberts Nia , Pluddemann Annette 
Published: January 2023

ObjectivesTo assess the diagnostic accuracy of self-diagnosis compared with a clinical diagnosis for common conditions in primary care.DesignSystematic review. Meta-analysis.Data sourcesMedline, Embase, Cochrane CENTRAL, Cochrane Database of Systematic Reviews and CINAHL from inception to 25 January 2021.Study selectionEligible studies were prospective or retrospective studies comparing the results of self-diagnosis of common conditions in primary care to a relevant clinical diagnosis or laboratory reference standard test performed by a healthcare service provider. Studies that considered self-testing only were excluded.Data extractionTwo authors independently extracted data using a predefined data extraction form and assessed risk of bias using Quality Assessment of Diagnostic Accuracy Studies-2.Methods and results5047 records identified 18 studies for inclusion covering the self-diagnosis of three common conditions: vaginal infection (five studies), common skin conditions (four studies) and HIV (nine studies). No studies were found for any other condition. For self-diagnosis of vaginal infection and common skin conditions, meta-analysis was not appropriate and data were reported narratively. Nine studies, using point-of-care oral fluid tests, reported on the accuracy of self-diagnosis of HIV and data were pooled using bivariate meta-analysis methods. For these nine studies, the pooled sensitivity was 92.8% (95% CI, 86% to 96.5%) and specificity was 99.8% (95% CI, 99.1% to 99.9%). Post hoc, the robustness of the pooled findings was tested in a sensitivity analysis only including four studies using laboratory testing as the reference standard. The pooled sensitivity reduced to 87.7% (95% CI, 81.4% to 92.2%) and the specificity remained the same. The quality of all 18 included studies was assessed as mixed and overall study methodology was not always well described.Conclusions and implications of key findingsOverall, there was a paucity of evidence. The current evidence does not support routine self-diagnosis for vaginal infections, common skin conditions and HIV in primary care.PROSPERO registration numberCRD42018110288.
Connecting habitat to species abundance: the role of light and temperature on the abundance of walleye in lakes
Authors: Mahlum Shad , Vitense Kelsey , Corson-Dosch Hayley , Platt Lindsay , Read Jordan S. , Schmalz Patrick J. , Treml Melissa , Hansen Gretchen J. A. 
Published: January 2023

Walleye ( Sander vitreus) are an ecologically important species managed for recreational, tribal, and commercial harvest. Walleye prefer cool water and low light conditions, and therefore changing water temperature and clarity potentially impacts walleye habitat and populations across the landscape. Using survey data collected from 1993 to 2018 from 312 lakes in Minnesota, we evaluated the relationship between thermal-optical habitat and the relative abundance of small (0–300 mm), medium (300–450 mm), and large (450 + mm) walleye. Thermal-optical habitat was positively correlated with the relative abundance of small and medium walleye but not large walleye. Walleye were more abundant in larger, naturally reproducing lakes opposed to smaller, stocked lakes. Thermal-optical habitat changed in 59% of lakes since 1980 (26% increasing and 33% decreasing) and appears to be driven primarily by changes in water clarity and thus optical habitat area. Our study provides important insights into local and regional drivers that influence walleye populations that can be used to assist fisheries managers in setting population goals and managing harvest.
Case Studies for Overcoming Challenges in Using Big Data in Cancer
Authors: Sweeney Shawn M. , Hamadeh Hisham K. , Abrams Natalie , Adam Stacey J. , Brenner Sara , Connors Dana E. , Davis Gerard J. , Fiore Louis D. , Gawel Susan H. , Grossman Robert L. , Hanlon Sean E. , Hsu Karl , Kelloff Gary J. , Kirsch Ilan R. , Louv Bill , McGraw Deven , Meng Frank , Milgram Daniel , Miller Robert S. , Morgan Emily , Mukundan Lata , O'Brien Thomas , Robbins Paul , Rubin Eric H. , Rubinstein Wendy S. , Salmi Liz , Schaller Teilo H. , Shi George , Sigman Caroline C. , Srivastava Sudhir 
Published: January 2023

AbstractThe analysis of big healthcare data has enormous potential as a tool for advancing oncology drug development and patient treatment, particularly in the context of precision medicine. However, there are challenges in organizing, sharing, integrating, and making these data readily accessible to the research community. This review presents five case studies illustrating various successful approaches to addressing such challenges. These efforts are CancerLinQ, the American Association for Cancer Research Project GENIE, Project Data Sphere, the National Cancer Institute Genomic Data Commons, and the Veterans Health Administration Clinical Data Initiative. Critical factors in the development of these systems include attention to the use of robust pipelines for data aggregation, common data models, data deidentification to enable multiple uses, integration of data collection into physician workflows, terminology standardization and attention to interoperability, extensive quality assurance and quality control activity, incorporation of multiple data types, and understanding how data resources can be best applied. By describing some of the emerging resources, we hope to inspire consideration of the secondary use of such data at the earliest possible step to ensure the proper sharing of data in order to generate insights that advance the understanding and the treatment of cancer.
COVID-19 Outcomes by Cancer Status, Site, Treatment, and Vaccination
Authors: Salvatore Maxwell , Hu Miriam M. , Beesley Lauren J. , Mondul Alison M. , Pearce Celeste Leigh , Friese Christopher R. , Fritsche Lars G. , Mukherjee Bhramar 
Published: January 2023

Background:
Studies have shown an increased risk of severe SARS-CoV-2–related (COVID-19) disease outcome and mortality for patients with cancer, but it is not well understood whether associations vary by cancer site, cancer treatment, and vaccination status.

Methods:
Using electronic health record data from an academic medical center, we identified a retrospective cohort of 260,757 individuals tested for or diagnosed with COVID-19 from March 10, 2020, to August 1, 2022. Of these, 52,019 tested positive for COVID-19 of whom 13,752 had a cancer diagnosis. We conducted Firth-corrected logistic regression to assess the association between cancer status, site, treatment, vaccination, and four COVID-19 outcomes: hospitalization, intensive care unit admission, mortality, and a composite “severe COVID” outcome.

Results:
Cancer diagnosis was significantly associated with higher rates of severe COVID, hospitalization, and mortality. These associations were driven by patients whose most recent initial cancer diagnosis was within the past 3 years. Chemotherapy receipt, colorectal cancer, hematologic malignancies, kidney cancer, and lung cancer were significantly associated with higher rates of worse COVID-19 outcomes. Vaccinations were significantly associated with lower rates of worse COVID-19 outcomes regardless of cancer status.

Conclusions:
Patients with colorectal cancer, hematologic malignancies, kidney cancer, or lung cancer or who receive chemotherapy for treatment should be cautious because of their increased risk of worse COVID-19 outcomes, even after vaccination.

Impact:
Additional COVID-19 precautions are warranted for people with certain cancer types and treatments. Significant benefit from vaccination is noted for both cancer and cancer-free patients.
Pensadores do nada: Heidegger e a mística judaica medieval
Authors: Ciucu Cristina , Gonçalves Lucas de Lima Cavalcanti 
Published: January 2023

Tradução de: Ciucu, C. (2010). Les penseurs du néant: Heidegger et la mystique juive du Moyen Âge. Yod, 5, 215-233, por Lucas de Lima Cavalcanti
DOI: https://doi.org/10.4000/YOD.676
Improving College Choice in Centralized Admissions: Experimental Evidence on the Importance of Precise Predictions
Authors: Ye Xiaoyang 
Published: January 2023

Abstract
This paper provides the first experimental evidence of how admission outcomes in centralized systems depend on strategic college choice behaviors. Centralized college admissions simplify the application process and reduce students' informational barriers. However, such systems also reward informed and strategic college choices. In particular, centralized admissions can be difficult to navigate because they require students to understand how application portfolios and placement priorities map to admission probabilities. Using administrative data from one of the poorest provinces in China, I document that students made undermatched college choices that correlated with inaccurate predictions of admission probabilities. I then implemented a large-scale randomized experiment (N= 32,834) to provide treated students with either (a) an application guidebook or (b) a guidebook plus a school workshop. Results suggest that informing students on choosing colleges and majors based on precise predictions of admission probabilities can effectively improve student–college academic match by 0.1 to 0.2 standard deviation among compliers without substantially changing their college-major preferences.
‘Stretch’ and ‘Translate’: Gramscian Lineages, Fanonist Convergences in the (Post)Colony
Authors: Kipfer Stefan A. , Mallick Ayyaz 
Published: January 2023

Abstract
This paper establishes a theoretical linkage between Antonio Gramsci and Frantz Fanon. Gramsci’s critical-historicist method and its relationship to humanism, his integral understanding of Marxism, and emphasis on the moment of political practice resonate with Fanon’s articulation of the subjective and political-economic aspects of the colonial question, his activistic materialism, and his dialectically humanist universalism forged through anti-colonial struggle. Establishing this linkage presupposes engaging distinct currents of postcolonial Gramscianism in relation to each other and to the philological turn in Gramsci scholarship. In turn, a Gramsci–Fanon convergence helps elucidate the specificities of (post-)colonial contexts without elevating these into a civilisational-ontological difference. Emphasising their geographical sensitivity as a meeting point, pushing Gramsci towards Fanon helps us treat the global South and imperial heartlands relationally, in historico-geographical and specifically political terms. A Fanonian Gramsci (or Gramscian Fanon) thus allows us to tackle Eurocentrism without closing doors to a counter- or postcolonial Marxism.
Climate Change Effects on Irrigated Corn Growth in the Lower Mississippi Delta
Authors: Kannan Narayanan , Anapalli Saseendran 
Published: January 2023

Abstract
In this study, the possible climate change impacts on irrigated corn production in the lower Mississippi delta (LMD) region were analyzed. The observed daily maximum and minimum air temperature, wind speed, relative humidity (RH), and precipitation from 1960 to 2018 were used in the analysis. The length of the growing season, evapotranspiration (ET), and crop yield estimates from the precalibrated Root Zone Water Quality Model (RZWQM) were also used. Trend analyses were performed on growing-season averages for temperature, RH, and wind speed; growing-season totals for precipitation and ET; daily values of minimum and maximum temperature; and averages of RH and wind speed at critical corn growth stages. The last day of spring freezing (LDSF) and days with an average daily air temperature Ta of more than 35°C during corn silking were also included in the analysis. The trend analysis was performed using the modified Mann–Kendall test, Pettitt test, and Sen’s slope at a significance level of p ≤ 0.05. The results from our study pointed out increases in minimum Ta, increases in the number of days with Ta exceeding 35°C during the corn silking stage, increases in RH and decreases in ET, advancement of the LDSF by 2 weeks, and 8% reductions in corn yield that could be attributed to changes in climate. If the observed trends in climate (climate variability and change) and yield reductions continue in the region, it could be challenging to grow the corn crop in the LMD profitably.

Significance Statement
In recent years, growing corn and soybeans instead of cotton has been gaining popularity in the lower Mississippi delta (LMD) region. Our study is aimed to understand how climate change in the recent past (1960–2018) has affected irrigated corn production in LMD. This will help us to better understand the expected consequences of the future climate. We used observations of daily weather data from 1960 to 2018 and corn yield, water balance, and crop yield results from a computer model designed to simulate corn production. Tools were used to analyze trends and patterns in the data and results. Our analysis pointed out significant changes in weather, water balance, and yield decline for irrigated corn in the LMD.
A Multi-Temporal-Scale Modulation Mechanism for the Postprocessing of Precipitation Ensemble Forecasts: Benefits for Streamflow Forecasting
Authors: Bellier Joseph , Whitin Brett , Scheuerer Michael , Brown James , Hamill Thomas M. 
Published: January 2023

Abstract
In the postprocessing of ensemble forecasts of weather variables, it is standard practice to first calibrate the forecasts in a univariate setting, before reconstructing multivariate ensembles that have a correct covariability in space, time, and across variables, via so-called “reordering” methods. Within this framework though, postprocessors cannot fully extract the skill of the raw forecast that may exist at larger scales. A multi-temporal-scale modulation mechanism for precipitation is here presented, which aims at improving the forecasts over different accumulation periods, and which can be coupled with any univariate calibration and multivariate reordering techniques. The idea, originally known under the term “canonical events,” has been implemented for more than a decade in the Meteorological Ensemble Forecast Processor (MEFP), a component of the U.S. National Weather Service’s (NWS) Hydrologic Ensemble Forecast Service (HEFS), although users were left with material in the gray literature. This paper proposes a formal description of the mechanism and studies its intrinsic connection with the multivariate reordering process. The verification of modulated and unmodulated forecasts, when coupled with two popular methods for reordering, the Schaake shuffle and ensemble copula coupling (ECC), is performed on 11 Californian basins, on both precipitation and streamflow. Results demonstrate the clear benefit of the multi-temporal-scale modulation, in particular on multiday total streamflow. However, the relative gain depends on the method used for reordering, with more benefits expected when this latter method is not able to reconstruct an adequate temporal structure on the calibrated precipitation forecasts.
Fiber reinforced polypropylene composites interfacial behavior improvement fabricated by cold plasma jet SiOx nanoparticles deposition
Authors: Zhang Lin , Xia Zhangchuan , He Yadong , Xin Chunling , Yu Yang , Ren Feng , Wang Ruixue 
Published: January 2023

In this study, cold atmospheric pressure plasma jet was adopted to glass fibers surface modification with tetraethyl orthosilicate as a precursor. To enhance the interfacial bonding forces of glass fiber reinforced polypropylene (GFRP) composites, SiOx nanoparticles were polymerized on the fiber surfaces. The effect of two factors (the distance between nozzle and fiber (D) and the treatment time (T)) on the interfacial bonding behavior of GFRP composites was studied. The modified fibers and composites properties, including surface topography, chemical composition, wettability and interfacial mechanical properties, were studied comprehensively. The optimal parameters were obtained at D = 17 mm and T = 12 s. Our results indicated that the interlaminar shear strength of GFRP composites was increased by 30.79% compared to control group. Further studies found that plasma treatment introduced larger surface roughness, surface energy and more oxygen-containing functional groups, which was responsible for the interlaminar shear strength improvement.