bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preoperative Mental Health Scores and Achieving Patient Acceptable Symptom State Are Predictive of Return to Work After Arthroscopic Rotator Cuff Repair
Authors: Gowd Anirudh K. , Cvetanovich Gregory L. , Liu Joseph N. , Nwachukwu Benedict U. , Cabarcas Brandon C. , Cole Brian J. , Forsythe Brian , Romeo Anthony A. , Verma Nikhil N. 
Published: October 2019

Background: The incidence of rotator cuff repairs has risen dramatically over the past 10 years, most notably in the working-class population. Return to work (RTW) is a valuable outcome measure to set patient expectations before surgery. Purpose: To establish the rate of RTW after rotator cuff repair with respect to stratified levels of occupational demand (sedentary, light, moderate, and heavy) and to identify clinical factors significantly associated with postoperative RTW. Study Design: Cohort study; Level of evidence, 3. Methods: Patients who received rotator cuff repair between 2014 and 2017 were queried from a prospectively maintained institutional registry. Work status was evaluated from clinical and physical therapy notes, and RTW was stratified based on duty level. The minimal clinically important difference (MCID), substantial clinical benefit (SCB), and patient acceptable symptom state (PASS) values were calculated for American Shoulder and Elbow Surgeons (ASES) score and subjective Constant score through use of an anchor-based approach. Patient demographic factors, preoperative ASES scores, Constant scores, and health-related quality of life scores, as well as change in postoperative scores exceeding the thresholds for MCID, SCB, and PASS, were analyzed to determine significant associations with RTW without restriction. Results: In total, 89 patients with documented pre- and postoperative work status underwent surgery. Rates of RTW for sedentary, light, moderate, and heavy duties were 100%, 84.0%, 77.4%, and 63.3%, respectively, within return at less than 7 postoperative months on average. RTW was associated with achieving PASS ( P = .004) but not achieving MCID and SCB ( P = .429 and .452, respectively). Injury to a patient’s dominant side had reduced odds (0.057; 95% CI, 0.004-0.763; P = .030) for RTW at full duty. Tear characteristics and type of insurance were not associated with RTW. Preoperative Veterans RAND Mental Component Score (>53.3; area under the curve, 70.4%) was predictive of returning to work. Conclusion: A vast majority of patients undergoing rotator cuff repair can expect to return to work within 8 months of surgery. Preoperative mental health scores can predict future return to work, which supports the concept that mental health status plays an important role in the outcomes after rotator cuff repair surgery.
Feasibility and Efficacy of Same-Day, In-Office Genetic Testing for Inherited Retinal Diseases
Authors: Wilgucki J.D. , Williams Parker J. , Westfall Ellie , Jain Nieraj , Yan Jiong 
Published: October 2019

Purpose: This article analyzes 2 practice patterns our institution uses for genetic testing of patients with inherited retinal diseases (IRDs) and compares testing completion and diagnostic yield rates. Methods: A retrospective, consecutive chart review series was conducted of patients with a clinically diagnosed rod-mediated IRD. All IRDs were diagnosed between 2 intervals: November 1, 2015, through November 30, 2016 (referral to a medical genetics clinic for testing) or December 1, 2016, through December 30, 2017 (same-day, in-office genetic testing). Results: A total of 189 patients were included in the study. Of patients who received an out-of-office referral for genetic testing, 10 of 84 (12%) patients proceeded with testing, whereas 74 of 84 (88%) patients did not complete testing. For patients who received in-office genetic testing, 104 of 105 (99%) completed testing. The difference in test completion was statistically significant ( P < .001). In addition, genetic testing for out-of-office referrals identified a causative mutation in 5 of 10 (50%) patients, whereas in-office genetic testing identified a causative mutation in 42 of 104 (40.4%) patients. The difference in causative mutation discovery was not statistically significant ( P = .18) between the 2 groups. Conclusions: In-office genetic testing is a novel practice pattern that provides a more consistent and accessible method for IRD genetic diagnosis. Compared with an out-of-office referral for genetic testing, in-office genetic testing offers a similar rate of causative gene mutation identification but a greatly higher rate of test completion, therefore potentially offering a much higher yield for genetic diagnosis of IRDs.
Integrated phosphoproteomics and transcriptional classifiers reveal hidden RAS signaling dynamics in multiple myeloma
Authors: Lin Yu-Hsiu T. , Way Gregory P. , Barwick Benjamin G. , Mariano Margarette C. , Marcoulis Makeba , Ferguson Ian D. , Driessen Christoph , Boise Lawrence H. , Greene Casey S. , Wiita Arun P. 
Published: October 2019

Key Points
NRAS and KRAS mutations lead to different downstream transcriptional signatures and patient prognoses under current myeloma therapies. RAS genotype alone does not strongly predict degree of active MAPK signaling, suggesting alternate precision medicine approaches are needed.
Induction of multiple myeloma bone marrow stromal cell apoptosis by inhibiting extracellular vesicle miR-10a secretion
Authors: Umezu Tomohiro , Imanishi Satoshi , Yoshizawa Seiichiro , Kawana Chiaki , Ohyashiki Junko H. , Ohyashiki Kazuma 
Published: October 2019

Key PointsInhibition of EV release resulted in accumulation of cellular miR-10a and enhanced apoptosis of BMSCs derived from patients with MM. Inhibition of miR-10a–enriched EVs from BMSCs also inhibited proliferation of MM cells.
What does it mean to conduct participatory research with Indigenous peoples? A lexical review
Authors: Dadich Ann , Moore Loretta , Eapen Valsamma 
Published: October 2019

AbstractBackgroundTo better understand and promote public health, participatory research with Indigenous peoples represents recommended practice, worldwide. However, due to the different ways such research is referred to, described, and used, it is unclear what might (and might not) warrant the term when collaborating with Indigenous peoples. As such, this article expands conceptual understandings of participatory research with Indigenous peoples, across timelines and regions.MethodFollowing a systematic search of 29 academic databases in April 2018, a lexical analysis of the methods sections was conducted, which were sourced from 161 publications across 107 journals.ResultsThe active involvement of Indigenous peoples in research that is expressly participatory is limited across all project phases. This might be because the ways in which Indigenous peoples were involved throughout were not reported – however, it might also be because Indigenous peoples were not involved in all project phases. Furthermore, descriptions differ by study location and publication timeframe – notably, studies in the region of the Americas chiefly refer to pandemics, surveyors, and art; and those published in the last two decades have given primacy to artifacts of interest.ConclusionsFindings from this corpus of data suggest participatory research with Indigenous peoples is not always described across different project phases; furthermore, it differs according to study location and publication timeframe. This offers considerable opportunity to further this important research area via alternative methodologies that award primacy to Indigenous expertise and agency.
Farm level allocative efficiency of rice production in Gulu and Amuru districts, Northern Uganda
Authors: Okello Daniel Micheal , Bonabana-Wabbi Jackline , Mugonola Basil 
Published: October 2019

Abstract
Smallholder farming, predominant in Uganda, is characterized by low productivity for most crops including rice which is gaining prominence as both a food and income crop. The low productivity is mostly attributed to allocative inefficiency. Allocative efficiency (AE) considers farmers’ ability to allocate resources efficiently, by producing the maximum possible output at minimum cost. Increasing AE requires an understanding of the specific sources of inefficiency that vary across farm enterprises, geographically and temporally. A cross-sectional study was carried out in Gulu and Amuru districts of Northern Uganda to assess the sources of farm-level allocative inefficiency in rice production using the stochastic frontier approach. Data were collected from a random sample of 200 smallholder rice farmers. Results show that the mean AE was 75%. Household size, distance to trading centre, farm size, number of crop enterprises, use of hired labour, use of ox-plough, and access to credit had significant effects on AE. We recommend adoption of technologies such as the use of ox-ploughs and reallocation of farm resources especially labour.
Role of community-based active case finding in screening tuberculosis in Yunnan province of China
Authors: Chen Jin-Ou , Qiu Yu-Bing , Rueda Zulma Vanessa , Hou Jing-Long , Lu Kun-Yun , Chen Liu-Ping , Su Wei-Wei , Huang Li , Zhao Fei , Li Tao , Xu Lin 
Published: October 2019

Abstract

Background
The barriers to access diagnosis and receive treatment, in addition to insufficient case identification and reporting, lead to tuberculosis (TB) spreads in communities, especially among hard-to-reach populations. This study evaluated a community-based active case finding (ACF) strategy for the detection of tuberculosis cases among high-risk groups and general population in China between 2013 and 2015.

Methods
This retrospective cohort study conducted an ACF in ten communities of Dongchuan County, located in northeast Yunnan Province between 2013 and 2015; and compared to 136 communities that had passive case finding (PCF). The algorithm for ACF was: 1) screen for TB symptoms among community enrolled residents by home visits, 2) those with positive symptoms along with defined high-risk groups underwent chest X-ray (CXR), followed by sputum microscopy confirmation. TB incidence proportion and the number needed to screen (NNS) to detect one case were calculated to evaluate the ACF strategy compared to PCF, chi-square test was applied to compare the incidence proportion of TB cases’ demography and the characteristics for detected cases under different strategies. Thereafter, the incidence rate ratio (IRR) and multiple Fisher’s exact test were applied to compare the incidence proportion between general population and high-risk groups. Patient and diagnostic delays for ACF and PCF were compared by Wilcoxon rank sum test.

Results
A total of 97 521 enrolled residents were visited with the ACF cumulatively, 12.3% were defined as high-risk groups or had TB symptoms. Sixty-six new TB patients were detected by ACF. There was no significant difference between the cumulative TB incidence proportion for ACF (67.7/100000 population) and the prevalence for PCF (62.6/100000 population) during 2013 to 2015, though the incidence proportion in ACF communities decreased after three rounds active screening, concurrent with the remained stable prevalence in PCF communities. The cumulative NNS were 34, 39 and 29 in HIV/AIDS infected individuals, people with positive TB symptoms and history of previous TB, respectively, compared to 1478 in the general population. The median patient delay under ACF was 1 day (Interquartile range, IQR: 0–27) compared to PCF with 30 days (IQR: 14–61).

Conclusions
This study confirmed that massive ACF was not effective in general population in a moderate TB prevalence setting. The priority should be the definition and targeting of high-risk groups in the community before the screening process is launched. The shorter time interval of ACF between TB symptoms onset and linkage to healthcare service may decrease the risk of TB community transmission. Furthermore, integrated ACF strategy in the National Project of Basic Public Health Service may have long term public health impact.
Characterization of antioxidative peptide purified from black eelpout (Lycodes diapterus) hydrolysate
Authors: Lee Jung Kwon , Byun Hee-Guk 
Published: October 2019

Abstract
The functional peptides from protein hydrolysates of various fishery sources have been identified such as antioxidant activity. The main intention of this study was purification and characterization of antioxidative peptide from black eelpout muscle. The antioxidative peptides were purified from black eelpout (Lycodes diapterus) muscle using different proteases. Antioxidant activity of black eelpout hydrolysates was evaluated using DPPH radical scavenging activity. Among six hydrolysates, the pepsin hydrolysate had the highest antioxidant activity compared to the other hydrolysates. Therefore, it was further purified and a peptide with seven amino acid residues of DLVKVEA (784 Da) was identified by amino acid sequence analysis. The EC50 value for scavenging DPPH radicals by purified peptide was 688.77 μM. Additionally, the purified peptide exhibited protective effect against DNA damage induces by oxidation in mouse macrophages (RAW 264.7 cells). The results of this study suggest that black eelpout muscle protein hydrolysate could potentially contribute to development of bioactive peptides in basic research.
Poder Negro in Revolutionary Cuba: Black Consciousness, Communism, and the Challenge of Solidarity
Authors: Guerra Lillian 
Published: October 2019

Abstract
This article analyzes the personal experiences of African American refugees in Cuba as well as the ways in which the Cuban government sought to mitigate and frequently repress the appeal of the movement of Black Power / poder negro to which Cubans might autonomously ascribe. By universalizing Communist standards of culture, behavior, and political values that leaders glossed as colorless, state agents ranging from the Ministry of Education and the media to Fidel Castro and Cuba's top intelligence chiefs anticipated and co-opted historical memories of slavery as well as cultural expressions of black pride. They did so, however, with varying degrees of success, much as the long legacy of devotion to slave-crafted religiosity and the survival of black discourses of identity reveal then and today.
Using machine learning techniques to develop risk prediction models to predict graft failure following kidney transplantation: protocol for a retrospective cohort study
Authors: Senanayake Sameera , Barnett Adrian , Graves Nicholas , Healy Helen , Baboolal Keshwar , Kularatna Sanjeewa 
Published: October 2019

Background:A mechanism to predict graft failure before the actual kidney transplantation occurs is crucial to clinical management of chronic kidney disease patients. Several kidney graft outcome prediction models, developed using machine learning methods, are available in the literature. However, most of those models used small datasets and none of the machine learning-based prediction models available in the medical literature modelled time-to-event (survival) information, but instead used the binary outcome of failure or not. The objective of this study is to develop two separate machine learning-based predictive models to predict graft failure following live and deceased donor kidney transplant, using time-to-event data in a large national dataset from Australia. Methods:The dataset provided by the Australia and New Zealand Dialysis and Transplant Registry will be used for the analysis. This retrospective dataset contains the cohort of patients who underwent a kidney transplant in Australia from January 1st, 2007, to December 31st, 2017. This included 3,758 live donor transplants and 7,365 deceased donor transplants. Three machine learning methods (survival tree, random survival forest and survival support vector machine) and one traditional regression method, Cox proportional regression, will be used to develop the two predictive models. The best predictive model will be selected based on the model’s performance.Discussion:This protocol describes the development of two separate machine learning-based predictive models to predict graft failure following live and deceased donor kidney transplant, using a large national dataset from Australia. Furthermore, these two models will be the most comprehensive kidney graft failure predictive models that have used survival data to model using machine learning techniques. Thus, these models are expected to provide valuable insight into the complex interactions between graft failure and donor and recipient characteristics.
Trends in admission timing and mechanism of injury can be used to improve general surgical trauma training
Authors: Pearce AP , Marsden MER , Newell N , Hancorn K , Lecky F , Brohi K , Tai N 
Published: October 2019

Introduction The temporal patterns and unit-based distributions of trauma patients requiring surgical intervention are poorly described in the UK. We describe the distribution of trauma patients in the UK and assess whether changes in working patterns could provide greater exposure for operative trauma training. Methods We searched the Trauma Audit and Research Network database to identify all patients between 1 January 2014 to 31 December 2016. Operative cases were defined as all patients who underwent laparotomy, thoracotomy or open vascular intervention. We assessed time of arrival, correlations between mechanism of injury and surgery, and the effect of changing shift patterns on exposure to trauma patients by reference to a standard 10-hour shift assuming a dedicated trauma rotation or fellowship. Results There were 159,719 patients from 194 hospitals submitted to the Network between 2014 and 2016. The busiest 20 centres accounted for 57,568 (36.0%) of cases in total. Of these 2147/57,568 patients (3.7%) required a general surgical operation; 43% of penetrating admissions (925 cases) and 2.2% of blunt admissions (1222 cases). The number of operations correlated more closely with the number of penetrating rather than blunt admissions (r = 0.89 vs r = 0.51). A diurnal pattern in trauma admissions enabled significant increases in trauma exposure with later start times. Conclusions Centres with high volume and high penetrating rates are likely to require more general surgical input and should be identified as locations for operative trauma training. It is possible to improve the number of trauma patients seen in a shift by optimising shift start time.
An Ultrasensitive LC-APPI-MS/MS Method for Simultaneous Determination of Ciclesonide and Active Metabolite Desisobutyryl-Ciclesonide in Human Serum and Its Application to a Clinical Study
Authors: Chen Yu-Luan , Wang Weimin , Gatien Ngounou Wetie Armand , Shi Lei , Eddy John , John Lin Zhong-Ping , Sunkaraneni Soujanya 
Published: October 2019

AbstractBackgroundThe development of more efficient drug delivery devices for ciclesonide inhalation products requires an ultrasensitive bioanalytical method to measure systematic exposure of ciclesonide (CIC) and its active metabolite desisobutyryl-ciclesonide (des-CIC) in humans.MethodSerum sample was extracted with 1-chlorobutane. A reversed-phase liquid chromatography coupled with atmospheric pressure photoionization–tandem mass spectrometry (LC-APPI-MS/MS) method was used for quantification of 1–500 pg/mL for both analytes in a 0.500-mL serum. The analysis time was 4.7 min/injection. CIC-d11 and des-CIC-d11 were used as the internal standards.ResultsCalibration curves showed good linearity (r2 &gt; 0.99) for both analytes. This novel method was precise and accurate with interassay precision and accuracy of all within 9.6% CV and ± 4.0% bias for regular QC samples. Extraction recovery was approximately 85% for both analytes. Serum samples are stable for 3 freeze–thaw cycles, 24 h at bench top, and up to 706 days at both −20 °C and −70 °C. This method was successfully used to support a pharmacokinetic (PK) comparison between the inhalation suspensions and an inhalation aerosol of ciclesonide in healthy participants. The method robustness was also supported by the good incurred sample reanalysis reproducibility.ConclusionAPPI, a highly selective and sensitive ionization source, made possible for quantifying CIC and des-CIC with a lower limit of quantification (LLOQ) of 1 pg/mL in human serum by LC-MS/MS. A 10-fold sensitivity improvement from the most sensitive reported method (LLOQ, 10 pg/mL) is essential to fully characterize the PK profiles of CIC and des-CIC in support of the clinical development of the ciclesonide-related medications for patients.
The use of microorganisms as bio-fertilizers in the cultivation of white lupine
Authors: Sulewska Hanna , Ratajczak Karolina , Niewiadomska Alicja , Panasiewicz Katarzyna 
Published: October 2019

AbstractThe agricultural usability of bio-fertilizers, particularly including microbiological seed vaccines meet the recommendations for integrated protection/cultivation applicable in Poland. Combined vaccination seeds with Rhizobium bacteria together with endophitic bacteria from the group of Plant Growth Promoting Rhizobacteria (PGPR), increase the efficiency of biological nitrogen fixation and therefore stimulate the development and yielding of legume crops. This hypothesis was verified in a series of field experiments with white lupine conducted between 2016 and 2018 at Złotniki, Poland. The one-factor experiment consisted of different variants of inoculation including: seeds uninoculated, inoculated with nitragine, nitroflora, Pseudomonas fluorescens strain, Bacillus subtillis strain and seeds co-inoculated with Rhizobium from nitragine or nitroflora + Pseudomonas fluorescens, or + Bacillus subtillis. The experiment showed a positive response of white lupine to all tested seed vaccinations. The highest seed yield was found after seed inoculation with Rhizobium bacteria (from nitragine) and with co-inoculation Rhizobium with Pseudomonas fluorescens. The results indicated that plant height, the development of aboveground parts and roots as well as root nodules and the setting of pods and seeds on the plant increased significantly after seed co-inoculation of Rhizobium derived from the preparation of nitragine with Pseudomonas fluorescens, as compared to the control object without vaccination. A generally positive correlation was found between the number of root nodules, dry mass of nodules and yield, and an especially significant strength of this relationship was found in variant with co-inoculation Rhizobium with Pseudomonas fluorescens.
The Uneasy Case for Parsimony in (Law and) Economics: Conceptual, Empirical and Normative Arguments
Authors: Cserne Péter 
Published: October 2019

AbstractTaking Guido Calabresi’s discussion of preferences and value judgements inThe Future of Law and Economicsas a starting point, this paper analyses some conceptual difficulties, epistemic benefits and normative uses of parsimonious economic analyses of “tastes and values.” First, the paper shows that it is not only possible to analyse and model all the richness of “tastes and values” in terms of rational choice theory with intellectual honesty and epistemic benefit. In fact, economists and economically inspired legal scholars have been doing this for a while. Second, it discusses three arguments that economists can mount in support of parsimonious models. Third, it shows that in spite of these benefits the merits of such an exercise in parsimony do not always clearly outweigh its drawbacks. In doing so, the paper distinguishes three types of limits of such parsimonious modelling.
Stability estimate for an inverse problem of the convection-diffusion equation
Authors: Bellassoued Mourad , Rassas Imen 
Published: October 2019

Abstract
We consider the inverse boundary value problem for the dynamical steady-state convection-diffusion equation.
We prove that the first-order coefficient and the scalar potential are uniquely determined by the Dirichlet-to-Neumann map.
More precisely, we show in dimension

n
≥
3

{n\geq 3}

a log-type stability estimate for the inverse problem under consideration.
The method is based on reducing our problem to an auxiliary inverse problem and the construction of complex geometrical optics solutions of this problem.