bluuebunny/crossref_metadata_2025_split huggingface dataset:
Needle rinse cell blocks as an ancillary technique: Diagnostic and clinical utility in gastrointestinal neoplasia
Authors: Marrinhas Carla , Oliveira Luísa F. , Sampaio Filipe , Moreira Raquel , Canadas‐Sousa Ana , Pereira André , Santos Marta , Marcos Ricardo 
Published: October 2021

AbstractBackgroundFine‐needle aspirate (FNA) cytology is often the first‐choice method for diagnosing gastrointestinal nodular lesions. The FNA material can be converted to histopathology specimens by a needle rinse cell block (NRCB) technique, allowing ancillary studies to refine the cytologic diagnosis. Despite use in human pathology, NRCB has never been applied to canine or feline gastrointestinal neoplasia.ObjectiveThis study described NRCB methodology and its diagnostic utility in specific cases of neoplastic gastrointestinal lesions.MethodsNeedle rinses with saline were performed after ultrasound‐guided FNAs of two intestinal lymphomas (canine and feline) and a canine gastrointestinal stromal tumor (GIST). The NRCB was prepared using the cell tube block technique and processed for paraffin embedding. Routine immunohistochemistry protocols (using CD3, PAX‐5, and Ki‐67 for lymphoma cases and vimentin, desmin, S‐100, and KIT markers for GIST) were applied to NRCB sections, and the results were compared with matched tissue biopsies.ResultsNRCBs with adequate cell numbers, preservation, and good separation of blood were obtained. The diagnosis and immunophenotyping were confirmed in both cases of lymphoma in NRCBs. In the GIST, the immunolabeling of the neoplastic cells in NRCB was completely concordant with the tissue biopsy.ConclusionsThe described methodology is suitable for veterinary settings, having few technical requirements and low invasiveness. The presented cases of gastrointestinal neoplasia highlight the utility of NRCBs as a platform to conduct ancillary studies and refine the cytologic diagnosis.
Striga gesnerioides (Willd.) Vatke infestation and distribution as affected by soil properties and varieties at the plot and landscape scales in cowpea‐based cropping systems
Authors: Sadda Abou‐Soufianou , Malam Issa Oumarou , Jangorzo Nouhou Salifou , Saïdou Abdoul‐Aziz , Issoufou Hassane Bil‐Assanou , Diouf Abdoulaye 
Published: October 2021

AbstractStriga is among the most noxious parasitic plant genera causing yield losses to staple crops in the semiarid and subhumid areas of Africa and Asia. Understanding the factors that affect the current distribution of Striga infestation is critical for developing integrated control strategies. This study attempts to elucidate the soil properties that are related to and that affect the plot‐level infestation and land‐scape level distribution of Striga gesnerioides (Willd.) Vatke in Niger. At the plot scale, 27 cowpea varieties were sown in randomised blocks of 30 plots in 14 fields, and their soils were sampled and analysed. S. gesnerioides infestations were recorded in the fields over 2 years. These records were obtained with georeferenced data, and soil properties were extracted from global databases. At the plot scale, the variance in S. gesnerioides infestations were affected by available phosphorus (29.17%), organic carbon (16.61%), pH (15.15%), nitrogen (13.13%), and sand contents (10.12%) and varied among the cowpea varieties. This led to the identification of cowpea varieties with consistent high levels of resistance (varieties: CS030 and CS095). At the landscape scale, soil moisture is the key factor explaining 48.6% of S. gesnerioides distribution, followed by silt content (28.1%), sand content (13.7%), and bulk density (6.2%). These results showed a clear dichotomy in the interactions between the occurrence of S. gesnerioides and soil properties from the plot to landscape scales. These results are valuable for understanding the ecology of S. gesnerioides and can support the development of integrated control strategies.
Effects of Supply Determinants on Supply Performance of Slaughter Animal for Meat Export Abattoirs in Ethiopia
Authors: Gudisa Lelisa 
Published: October 2021

This study was attempted to look at effects of supply determinants on supply performance of slaughter animal for meat export abattoirs in Ethiopia. Explanatory type of research design was used to explore the relation between dependent and independent variables. The research was supported by primary and secondary data. The primary data obtained through structured questionnaire prepared for export abattoirs and slaughter animal suppliers, whereas the secondary data obtained from published and unpublished documents. Sixty (60) respondents from ten (10) meat export abattoirs which are at managerial positions and sixty (60) managers of slaughters animal suppliers and the total number of respondents were one hundred twenty (120). The study used brokers’ involvement in supply, transportation facility, price of slaughter animal, illegal live animal export, and quality of slaughter animal, sustainability of slaughter animal supply and traditional livestock production system as independent and supply performance as dependent variable. Correlation analysis was accustomed to analyze relation between independent and dependent variables whereas multiple regressions were applied to analyze and identifies impact level of every independent on dependent variable. The study found that sustainability of slaughter animal supply, traditional livestock production system; transportation facility and quality of slaughter animal have strong effect on supply performance in positive direction respectively. Brokers involvement in supply, price of slaughter animal and illegal live animal export also have strong effect on supply performance in the negative direction.
Filling a gap in safety metrics: development of a patient-centred framework to identify and categorise patient-reported breakdowns related to the diagnostic process in ambulatory care
Authors: Bell Sigall K , Bourgeois Fabienne , DesRoches Catherine M , Dong Joe , Harcourt Kendall , Liu Stephen K , Lowe Elizabeth , McGaffigan Patricia , Ngo Long H , Novack Sandy A , Ralston James D , Salmi Liz , Schrandt Suz , Sheridan Sue , Sokol-Hessner Lauge , Thomas Glenda , Thomas Eric J 
Published: October 2021

BackgroundPatients and families are important contributors to the diagnostic team, but their perspectives are not reflected in current diagnostic measures. Patients/families can identify some breakdowns in the diagnostic process beyond the clinician’s view. We aimed to develop a framework with patients/families to help organisations identify and categorise patient-reported diagnostic process-related breakdowns (PRDBs) to inform organisational learning.MethodA multi-stakeholder advisory group including patients, families, clinicians, and experts in diagnostic error, patient engagement and safety, and user-centred design, co-developed a framework for PRDBs in ambulatory care. We tested the framework using standard qualitative analysis methods with two physicians and one patient coder, analysing 2165 patient-reported ambulatory errors in two large surveys representing 25 425 US respondents. We tested intercoder reliability of breakdown categorisation using the Gwet’s AC1 and Cohen’s kappa statistic. We considered agreement coefficients 0.61–0.8=good agreement and 0.81–1.00=excellent agreement.ResultsThe framework describes 7 patient-reported breakdown categories (with 40 subcategories), 19 patient-identified contributing factors and 11 potential patient-reported impacts. Patients identified breakdowns in each step of the diagnostic process, including missing or inaccurate main concerns and symptoms; missing/outdated test results; and communication breakdowns such as not feeling heard or misalignment between patient and provider about symptoms, events, or their significance. The frequency of PRDBs was 6.4% in one dataset and 6.9% in the other. Intercoder reliability showed good-to-excellent reliability in each dataset: AC1 0.89 (95% CI 0.89 to 0.90) to 0.96 (95% CI 0.95 to 0.97); kappa 0.64 (95% CI 0.62, to 0.66) to 0.85 (95% CI 0.83 to 0.88).ConclusionsThe PRDB framework, developed in partnership with patients/families, can help organisations identify and reliably categorise PRDBs, including some that are invisible to clinicians; guide interventions to engage patients and families as diagnostic partners; and inform whole organisational learning.
Human COQ4 deficiency: delineating the clinical, metabolic and neuroimaging phenotypes
Authors: Laugwitz Lucia , Seibt Annette , Herebian Diran , Peralta Susana , Kienzle Imke , Buchert Rebecca , Falb Ruth , Gauck Darja , Müller Amelie , Grimmel Mona , Beck-Woedel Stefanie , Kern Jan , Daliri Karim , Katibeh Pegah , Danhauser Katharina , Leiz Steffen , Alesi Viola , Baertling Fabian , Vasco Gessica , Steinfeld Robert , Wagner Matias , Caglayan Ahmet Okay , Gumus Hakan , Burmeister Margit , Mayatepek Ertan , Martinelli Diego , Tamhankar Parag Mohan , Tamhankar Vasundhara , Joset Pascal , Steindl Katharina , Rauch Anita , Bonnen Penelope E , Froukh Tawfiq , Groeschel Samuel , Krägeloh-Mann Ingeborg , Haack Tobias B , Distelmaier Felix 
Published: October 2021

BackgroundHuman coenzyme Q4 (COQ4) is essential for coenzyme Q10 (CoQ10) biosynthesis. Pathogenic variants in COQ4 cause childhood-onset neurodegeneration. We aimed to delineate the clinical spectrum and the cellular consequences of COQ4 deficiency.MethodsClinical course and neuroradiological findings in a large cohort of paediatric patients with COQ4 deficiency were analysed. Functional studies in patient-derived cell lines were performed.ResultsWe characterised 44 individuals from 36 families with COQ4 deficiency (16 newly described). A total of 23 different variants were identified, including four novel variants in COQ4. Correlation analyses of clinical and neuroimaging findings revealed three disease patterns: type 1: early-onset phenotype with neonatal brain anomalies and epileptic encephalopathy; type 2: intermediate phenotype with distinct stroke-like lesions; and type 3: moderate phenotype with non-specific brain pathology and a stable disease course. The functional relevance of COQ4 variants was supported by in vitro studies using patient-derived fibroblast lines. Experiments revealed significantly decreased COQ4 protein levels, reduced levels of cellular CoQ10 and elevated levels of the metabolic intermediate 6-demethoxyubiquinone.ConclusionOur study describes the heterogeneous clinical presentation of COQ4 deficiency and identifies phenotypic subtypes. Cell-based studies support the pathogenic characteristics of COQ4 variants. Due to the insufficient clinical response to oral CoQ10 supplementation, alternative treatment strategies are warranted.
Physics beyond the standard model with BlackHawk v2.0
Authors: Arbey Alexandre , Auffinger Jérémy 
Published: October 2021

AbstractWe present the new version of the public code designed to compute the Hawking radiation of black holes, with both primary and hadronized spectra. This new version aims at opening an avenue toward physics beyond the Standard Model (BSM) in Hawking radiation. Several major additions have been made since version : dark matter/dark radiation emission, spin 3/2 greybody factors, scripts for cosmological studies, BSM black hole metrics with their associated greybody factors and a careful treatment of the low energy showering of secondary particles; as well as bug corrections. We present, in each case, examples of the new capabilities of .
Iterative Design of Sonification Techniques to Support People with Visual Impairments in Obstacle Avoidance
Authors: Presti Giorgio , Ahmetovic Dragan , Ducci Mattia , Bernareggi Cristian , Ludovico Luca A. , Baratè Adriano , Avanzini Federico , Mascetti Sergio 
Published: October 2021

Obstacle avoidance is a major challenge during independent mobility for blind or visually impaired (BVI) people. Typically, BVI people can only perceive obstacles at a short distance (about 1 m, in case they are using the white cane), and some obstacles are hard to detect (e.g
.
, those elevated from the ground), or should not be hit by the white cane (e.g
.
, a standing person). A solution to these problems can be found in recent computer-vision techniques that can run on mobile and wearable devices to detect obstacles at a distance. However, in addition to detecting obstacles, it is also necessary to convey information about them in real time.

This contribution presents
WatchOut
, a sonification technique for conveying real-time information about the main properties of an obstacle to a BVI person, who can then use this additional feedback to safely navigate in the environment.
WatchOut
was designed with a user-centered approach, involving four iterations of online listening tests with BVI participants in order to define, improve and evaluate the sonification technique, eventually obtaining an almost perfect recognition accuracy.
WatchOut
was also implemented and tested as a module of a mobile app that detects obstacles using state-of-the-art computer vision technology. Results show that the system is considered usable and can guide the users to avoid more than 85% of the obstacles.
Comparative Analysis of Nanosilver Particles Synthesized by Different Approaches and Their Antimicrobial Efficacy
Authors: Abdelmigid Hala M. , Morsi Maissa M. , Hussien Nahed Ahmed , Alyamani Amal Ahmed , Al Sufyani Noha Moslah 
Published: October 2021

Silver nanoparticles (AgNPs) were extensively used in different fields worldwide. There is a continued increase in their productions to fulfill various uses. Biological and chemical AgNP syntheses were the most popular mechanisms in this field. Agrowastes are rich in proteins, phenolics, and flavonoids that could act as bioreductant agents in AgNP biological synthesis. The present study was aimed at synthesizing AgNPs via chemical and biological methods using trisodium citrate, pomegranate fruit peel, and coffee ground waste extracts. Moreover, silver nanoparticles were monitored by UV-vis spectroscopy and characterized using zeta potential, size distribution mean, scanning electron microscope (SEM), X-ray diffractometer (XRD), and Fourier transforms infrared spectroscopy (FTIR). Four pathogenic bacterial strains (Enterobacter aerogenes, Klebsiella pneumoniae, Pseudomonas aeruginosa, and MRSA) were used to assess the antimicrobial effect of the synthesized AgNPs (2, 4, and 8 mg/ml). Results report the successful formation of silver nanoparticles chemically (AgNPs_Chem) and biologically by using pomegranate peel extract (AgNPs_PPE) and coffee ground waste extract (AgNPs_CE) due to the change of color to dark brown that is confirmed by UV-vis sharp absorption spectra at specific wavelengths. Characterization using SEM and XRD revealed their crystalline shape with a mean size of

AgNPs
_
Chem
=
62.75

,

AgNPs
_
CE
=
273.7

nm

, and

AgNPs
_
PPE
=
591.9

nm

. AgNPs_Chem show higher negativity of zeta potential (−46.7 mV) than AgNPs_CE (−12.6 mV), followed by AgNPs_PPE (−7.98 mV), which had the least stability. All the synthesized AgNPs show antimicrobial potential on all selected strains. However, 8 mg/ml shows the most effective concentration and has more efficiency on K. pneumoniae than others. Overall, the results highlight that the use of agrowastes could be an ecofriendly way to synthesize AgNPs biologically that have the same antimicrobial effect as the chemically synthesized AgNPs.
Product Antimagic Labeling of Caterpillars
Authors: Wang Shengze , Gao Yuping 
Published: October 2021

Let

G

be a graph with

m

edges. A product antimagic labeling of

G

is a bijection from the edge set

E

G

to the set

1,2
,
…
,
m

such that the vertex-products are pairwise distinct, where the vertex-product of a vertex

v

is the product of labels on the incident edges of

v

. A graph is called product antimagic if it admits a product antimagic labeling. In this paper, we will show that caterpillars with at least three edges are product antimagic by an

O

m

log

m

algorithm.
Early Physical Linear Growth of Small-for-Gestational-Age Infants Based on Computer Analysis Method
Authors: Ruixiang Li , Mingrong Yin , Li Cui , Rongxiu Zheng 
Published: October 2021

This article proposes that machine learning can break through the technical limitations of the linear growth test for the early physique of infants smaller than gestational age and can accurately calculate and predict the consequences of the disease. For testing the linear growth of the early physique of infants smaller than gestational age, the data collection and judgment are carried out according to the computer analysis method. Experimental results show that 47.3% of infants younger than gestational age may have suffocation. The experimental subjects designed in this study are small-for-gestational-age infants who were hospitalized in the neonatal intensive care unit from January 2020 to January 2021. According to the relationship between gestational age and birth weight, the survey subjects were divided into two groups: early group and late group. Male and female small-for-gestational-age infants accounted for 68% and 32%, respectively. Among them, the proportion of early gestational age was the most, with more boys than girls, and sick singleton was more than twins. In the early group, the incidence was 52.1% for neonatal asphyxia, 22.5% for feeding intolerance, 14.8% for intracranial hemorrhage, 6.3% for scleredema, 24.7% for neonatal hyperbilirubinemia, 24.6% for hypoglycemia, 1.1% for apnea, and 3.2% for respiratory distress syndrome. Infants develop differently at different stages of corrected gestational age. The incidence of low body weight (6%) after correction for 3 months was significantly reduced compared with correction for gestational age, and the difference was statistically significant (

P

< 0.05). The nutrient absorption of infants younger than gestational age can promote physical catch-up growth, physical development, and neurodevelopment. Therefore, the physical growth of infants younger than gestational age requires supplementation that focuses on nutrition.
Model-Based ROC Curve: Examining the Effect of Case Mix and Model Calibration on the ROC Plot
Authors: Sadatsafavi Mohsen , Saha-Chaudhuri Paramita , Petkau John 
Published: October 2021

Background The performance of risk prediction models is often characterized in terms of discrimination and calibration. The receiver-operating characteristic (ROC) curve is widely used for evaluating model discrimination. However, when comparing ROC curves across different samples, the effect of case mix makes the interpretation of discrepancies difficult. Further, compared with model discrimination, evaluating model calibration has not received the same level of attention. Current methods for examining model calibration require specification of smoothing or grouping factors. Methods We introduce the “model-based” ROC curve (mROC) to assess model calibration and the effect of case mix during external validation. The mROC curve is the ROC curve that should be observed if the prediction model is calibrated in the external population. We show that calibration-in-the-large and the equivalence of mROC and ROC curves are together sufficient conditions for the model to be calibrated. Based on this, we propose a novel statistical test for calibration that, unlike current methods, does not require any subjective specification of smoothing or grouping factors. Results Through a stylized example, we demonstrate how mROC separates the effect of case mix and model miscalibration when externally validating a risk prediction model. We present the results of simulation studies that confirm the properties of the new calibration test. A case study on predicting the risk of acute exacerbations of chronic obstructive pulmonary disease puts the developments in a practical context. R code for the implementation of this method is provided. Conclusion mROC can easily be constructed and used to interpret the effect of case mix and calibration on the ROC plot. Given the popularity of ROC curves among applied investigators, this framework can further promote assessment of model calibration. Highlights Compared with examining model discrimination, examining model calibration has not received the same level of attention among investigators who develop or examine risk prediction models. This article introduces the model-based ROC (mROC) curve as the basis for graphical and statistical examination of model calibration on the ROC plot. This article introduces a formal statistical test based on mROC for examining model calibration that does not require arbitrary smoothing or grouping factors. Investigators who develop or validate risk prediction models can now also use the popular ROC plot for examining model calibration, as a critical but often neglected component in predictive analytics.
Unproductive Workers and State Repression
Authors: Munro Kirstin 
Published: October 2021

Social Reproduction Theory, as advanced by scholars such as Bhattacharya (2017) and Ferguson (2019), is at its core a theory of the revolutionary capacity of “unproductive” workers such as teachers, nurses, and social workers who are disproportionately women and disproportionately employed by the state. However, Social Reproduction Theory overlooks the contradictory and antagonistic role of the state in the lives of people, as the reproduction of labor power in capitalism proceeds via antagonism and state repression. The task of teachers, nurses, and social workers is the production of not just any life but that of a docile, exploitable worker. JEL classification: B51, B54, P1, I3
Catalyzing Navigation for Breast Cancer Survivorship (CaNBCS) in Safety-Net Settings: A Mixed Methods Study
Authors: Dixit Niharika , Sarkar Urmimala , Trejo Evelin , Couey Paul , Rivadeneira Natalie A. , Ciccarelli Barbara , Burke Nancy 
Published: October 2021

Purpose The current number of breast cancer survivors (BCS) in the United States is approximately 3.8 million, and this number is further expected to increase with improvement in treatments. Survivorship care plans (SCPs) are patient-centered tools that are designed to meet cancer survivors' informational needs about their treatment history, recommended health care, and health maintenance. However, the data on SCP benefits remain uncertain, especially in low-income and racial and ethnic minority cancer survivors. Patient navigation is an effective intervention to improve patient adherence and experience of interdisciplinary breast cancer treatment. Objectives This study sought to understand the role of lay patient navigators (LPN) in survivorship care planning for BCS in safety-net settings. Methods This study is a mixed methods pilot randomized clinical trial to understand the role of patient navigation in cancer survivorship care planning in a public hospital. We invited BCS who had completed active breast cancer treatment within 5 years. LPNs discussed survivorship care planning and survivorship care-related issues with BCS in the intervention arm over a 6-month intervention period and accompanied patients to their primary care appointment. LPNs also encouraged survivors to discuss health care issues with oncology and primary care providers. The primary objective was to assess BCS’ health-related quality of life (HRQOL). The secondary objectives were self-efficacy and implementation. We assessed implementation with 45–60-min semi-structured interviews with 15 BCS recruited from the intervention arm and 60-min focus groups with the oncologists and separately with LPNs. Results We enrolled 40 patients, 20 randomized to usual care and 20 randomized to LPN navigation. We did not find a statistically significant difference between the two arms in HRQOL. There was also no difference in self-efficacy between the two arms. Qualitative analysis identified implementation barriers to intervention that may have contributed to less effective intervention. Implications for Cancer Survivors Future survivorship care planning interventions need to consider: Cancer survivors’ needs and preferences, the need for dedicated resources, and the role of electronic health records in survivorship care plan delivery.