bluuebunny/crossref_metadata_2025_split huggingface dataset:
Both major QTL and plastid‐based inheritance of intumescence in diverse tomato (Solanum lycopersicum) RIL populations under different light conditions
Authors: Prinzenberg Aina E. , van der Schoot Hanneke , Visser Richard G. F. , Marcelis Leo F. M. , Heuvelink Ep , Schouten Henk J. 
Published: May 2022

AbstractIntumescence is a physiological disorder in tomato and other plant species that encompasses callus formation on leaves and stems. Next to a genetic predisposition, it has also been shown to be influenced by environmental factors like light spectrum. We grew tomato plants of four different recombinant inbred line (RIL) populations under high‐pressure sodium (HPS) and red/blue LED supplemental lighting in a greenhouse and determined the severity of intumescence on 4‐week‐old plants, in three subsequent replicates. The intumescence severity was scored on a scale from 0 to 3. The severity of intumescence was highly genotype dependent in three out of the four tested tomato populations, with the heritability ranging from 54% to 83%. In those three populations, two to eight QTL for intumescence were identified. One major effect quantitative trait locus (QTL) on the top of chromosome 1 was at a similar position in two genetically different RIL populations. The amount of genetic variation explained for these QTL ranged from 30% to 70% depending on the population. Next to chromosomal influences, we also identified differences in effects from maternal plastids on intumescence, by using reciprocal crosses. The cultivation of the tomato plants under HPS lamps or under red/blue LED supplemental lighting had no significant influence on intumescence score. All major QTLs appeared to be reproducible among the three replicates and among the two light conditions. Significant, though, low negative correlations were identified between the intumescence score and the area of leaves, chlorophyll content index, photosynthesis efficiency and fresh weight to dry weight ratio, which can reflect possible effects of the disorder on multiple aspects of plant performance.
Confluent and reticulated papillomatosis in pediatric patients at an urban tertiary care center
Authors: McKenzie Paige L. , Ogwumike Erica , Agim Nnenna G. 
Published: May 2022

AbstractConfluent and reticulated papillomatosis (CARP) is a dermatosis that often presents during adolescence. Prior studies have linked CARP to metabolic syndrome and comorbidities associated with insulin resistance, such as acanthosis nigricans and type 2 diabetes. Despite this, few studies have evaluated the clinical relationship between glucose dysmetabolism and CARP. In this report, we describe the characteristics of a large cohort of pediatric patients with CARP to further evaluate the potential relationship between CARP and metabolic syndrome in children.
Suicide and altitude: A systematic review of global literature
Authors: Brown Anne , Hellem Tracy , Schreiber James , Buerhaus Peter , Colbert Alison 
Published: May 2022

AbstractObjectiveThe purpose of this systematic review was to synthesize the existing global literature examining the relationship between altitude and suicide.MethodUsing the electronic databases PubMed, CINAHL, EMBASE, and PsychInfo published articles in English that addressed the relationship between altitude and suicide as a primary or secondary aim, and included human subjects, where identified. Studies were assessed for quality based on methodological approach and data relevance on a three‐point scale (strong, moderate, or weak).ResultsOf the 19 studies related to the purpose and aims, 17 reported evidence of a positive correlation between altitude and increased suicide. Vast design differences were employed within the literature, individual‐level suicide data was identified as the preferred level of analysis.DiscussionThe relationship between altitude and suicide is an evolving science with a small but growing body of literature suggesting altitude is associated with an increased risk of suicide. This review identifies the need for additional studies examining both individual‐level suicide data and improving geographic precision. Public health nurses have a responsibility to carefully examine the quality of studies and the strength of the evidence when addressing variables associated with suicide.
United Nations recognition of the universal right to a clean, healthy and sustainable environment: An eyewitness account
Authors: Limon Marc 
Published: May 2022

AbstractOn 8 October 2021, members of the Human Rights Council adopted a historic resolution recognizing a new universal human right: the right to a clean, healthy and sustainable environment. Recognition by the United Nations (UN) General Assembly is expected to follow in 2022, meaning that the right to a clean, healthy and sustainable environment will become one of the first universal human rights to be fully recognized by the UN since the adoption of the Universal Declaration of Human Rights in 1948. These momentous events, with important implications for international efforts to promote and protect the full enjoyment of human rights, and address the three interlinked environmental crises facing the planet—the climate, biodiversity and pollution crises—mark the end of a journey begun with the adoption of the Stockholm Declaration and Action Plan for the Human Environment in 1972 and given renewed impetus by a Small Island Developing State, the Maldives, from 2008. This article provides an eyewitness account of that journey.
Nearest Neighbour Ratio Imputation with Incomplete Multinomial Outcome in Survey Sampling
Authors: Gao Chenyin , Thompson Katherine Jenny , Kim Jae Kwang , Yang Shu 
Published: May 2022

AbstractNonresponse is a common problem in survey sampling. Appropriate treatment can be challenging, especially when dealing with detailed breakdowns of totals. Often, the nearest neighbour imputation method is used to handle such incomplete multinomial data. In this article, we investigate the nearest neighbour ratio imputation (NNRI) estimator, in which auxiliary variables are used to identify the closest donor and the vector of proportions from the donor is applied to the total of the recipient to implement ratio imputation. To estimate the asymptotic variance, we first treat the NNRI as a special case of predictive matching imputation and build on earlier work to linearize the imputed estimate. To account for the non-negligible sampling fractions, parametric and generalized additive models are employed to incorporate the smoothness of the imputation estimator, which results in a valid variance estimator. We apply the proposed method to estimate expenditures detail items based on empirical data from the 2018 collection of the Service Annual Survey, conducted by the United States Census Bureau. Our simulation results demonstrate the validity of our proposed estimators and also confirm that the derived variance estimators have good performance even when the sampling fraction is non-negligible.
Revisiting the Industrial Pneumatic Technology—An Innovative Development for an Increased Energetic Efficiency
Authors: Rufer Alfred 
Published: May 2022

Abstract
A new pneumatic cylinder assembly is proposed as an alternative to classical cylinders which are well known for their poor energetic efficiency. The new system comprises an added expansion volume which permits to recover the energy content of a filled cylinder by a real thermodynamic expansion instead of simply releasing the filled air to the atmosphere. The energetic performance of the new system is evaluated and compared with the performance of an equivalent single cylinder producing the same mechanical work. The paper explains the operation principle and properties through numeric simulation and presents a small experimental prototype.
Temperature Regimes and Chemistry for Stabilizing Precipitation Hardening Phases in Al–Sc Alloys: Combined CALPHAD–Deep Machine Learning
Authors: Jha Rajesh , Dulikravich George S. 
Published: May 2022

Abstract
In this work, CALPHAD-based calculations provided with data for various stable and metastable phases in 2XXX, 6XXX, and 7XXX classes of aluminum-based alloys. These data were scaled and then used to develop Deep Learning Artificial Neural Network (DLANN) models for all these phases as a function of composition and temperature. Code was written in the python programming language using TensorFlow/Keras libraries. DLANN models were used for determining the amount of various phases for new compositions and temperatures. The resulting data were further analyzed through the concept of Self-organizing Maps (SOM) and a few candidates were chosen for studying the precipitation kinetics of Al3Sc phase under the framework of CALPHAD approach. This work reports on heat-treatment simulation for one case of 6XXX alloy where the nucleation site was on dislocation, while a detailed study for other alloys is reported in a previously published work. Grain-growth simulations presented in this work are valid for single crystals only.
Traversable wormholes with like-Casimir complexity supported with arbitrarily small amount of exotic matter
Authors: Avalos R. , Fuenmayor E. , Contreras E. 
Published: May 2022

AbstractIn this work we construct traversable wormholes geometries in the framework of the complexity factor. We provide the redshift function of a Casimir traversable wormhole which, in combination with a non-vanishing complexity factor, leads to a traversable wormhole with a minimum amount of exotic matter. The shape function and the embedding diagram are shown and discussed. The tidal accelerations and the time required to get through the wormholes are estimated.
Conceptual Understanding of Students Towards COVID-19 Pandemic: Basis for Inclusion in Science, Technology and Society (STS) Curriculum
Authors: Dantic Marshall James 
Published: May 2022

The study has utilized a multi-methodology research design with assessment tests and a structured interview guide as instruments in gathering the data. In class 2020, there are 72 students and 8 Teachers of Science, Technology and Society (STS) who served as participants in the study. The assessment test was validated by three experts, Science, Technology and Society teachers with sciences as specialization and a professional education teacher. There are two types of instruments were used to gather data, these are (a) an assessment test and (b) structured interview guide. The assessment test is compose of two parts (I) the traditional multiple choice assessment test that is composed of 20 questions and (II) close-ended essay which consists of five questions. The structured interview guide is composed of one question “In your perspective, should ‘COVID-19 Pandemic’ be included in a STS curriculum? Why?” The results of the study have concluded: level of understanding of the students based from the traditional and essay assessment tests are both fairly satisfactory; level of conceptual understanding based from the relationship between the assessment tests has moderate positive correlation; the perspectives of the teachers regarding the inclusion of COVID-19 Pandemic concept in the STS curriculum, seven themes have emerged. The themes focused on addressing COVID disparities experience across multiple dimension and use it for curriculum formulation and empowerment of STS literacy. The study has recommended; heighten and strengthen the students’ conceptual understanding toward COVID 19 Pandemic through series of topics and teaching approaches; strategically include the concept of COVID-19 pandemic in the curriculum.
Problems Encountered by School-Based Feeding Program Beneficiaries and Their Academic Performance
Authors: Vizcocho Daren Joy D. 
Published: May 2022

Based Feeding Program beneficiaries and their academic performance in selected public school of Subic. This study was limited only to the three hundred forty (340) SBFP recipients of grade 4-6 elementary students in the District of Subic who were randomly selected. The study used descriptive survey method design.
The major findings include the following: There was significant difference between the academic performance of students before and after the implementation of the school-based feeding program. Social, Behavioral and Economic problems encountered had low negative relationship with academic performance of beneficiaries before and after the implementation. The null hypothesis was rejected; hence there is significant relationship between the problems encountered and the academic performance of SBFP.
The following recommendations are Employed parents may not take their child’s health nutritional status for granted by ensuring enough time to supervise their feeding habits of their child. School feeding coordinators may also look into the problems of the beneficiaries and not just providing them food during feeding time. School advisers and teachers may collaborate with parents/guardian of the SBFP beneficiaries in minimizing and eliminating the sources and cause of problems to attain higher level, if not the highest level of academic performance.
Normal Values for Myocardial Work Indices Derived From Pressure-Strain Loop Analyses: From the CCHS
Authors: Olsen Flemming Javier , Skaarup Kristoffer Grundtvig , Lassen Mats Christian Højbjerg , Johansen Niklas Dyrby , Sengeløv Morten , Jensen Gorm Boje , Schnohr Peter , Marott Jacob Louis , Søgaard Peter , Gislason Gunnar , Svendsen Jesper Hastrup , Møgelvang Rasmus , Aalen John Moene , Remme Espen Wattenberg , Smiseth Otto Armin , Biering-Sørensen Tor 
Published: May 2022

Background:
Pressure-strain loop analyses is a noninvasive technique capable of evaluating myocardial work. Reference values are needed to benchmark these myocardial work indices for clinical practice.

Methods:
Healthy participants from a general population study were used to establish reference values for global work index (GWI), global constructive work (GCW), global wasted work (GWW), and global work efficiency (GWE) measured by pressure-strain loop analyses. The relation to age and sex was examined. We furthermore examined the proportion of abnormal work indices according to low, intermediate, and high cardiovascular risk by the Framingham risk score.

Results:

The healthy sample consisted of 1827 participants (median age, 45 years; 39% men). Lower reference values were GWI, 1576 mm Hg%; GCW, 1708 mm Hg%; and GWE, 93.0% and upper reference value for GWW was 159 mm Hg%. Women exhibited significantly higher GWI, GCW, and GWW and lower GWE. Sex significantly modified the association between all indices and age (
P
for interaction: 0.001 for GWI, 0.009 for GCW, 0.003 for GWW, and 0.009 for GWE). For men, only GCW increased with age, whereas the other indices did not change with age. For women, GCW increased linearly with increasing age, whereas GWI, GWW, and GWE changed in a curvilinear fashion with age such that GWI increased in younger participants, GWW increased in elderly, and GWE declined concordantly. Abnormalities in myocardial work indices became more frequent with increasing Framingham risk score category (abnormal GWI: 2% versus 4% versus 5%,
P
=0.001; abnormal GCW: 2% versus 3% versus 4%,
P
=0.006; abnormal GWW: 3% versus 6% versus 11%,
P
<0.001; abnormal GWE: 3% versus 4% versus 11%,
P
<0.001).

Conclusions:
Myocardial work indices differ between sexes and change with age in a sex-dependent manner. Accordingly, we established age- and sex-specific reference values from a general population sample. Abnormal work indices become more frequent with higher clinical risk.

Registration:

URL:
https://www.clinicaltrials.gov
; Unique identifier: NCT02993172.
H-loop Knotless Double-Row Repair Versus Knotted Suture Bridge for Rotator Cuff Tears: A Biomechanical and Histological Study in an Animal Model
Authors: Guo Jiang , Long Yi , Zhou Min , He Zhang-Hai , Zeng Wei-Ke , Yu Meng-Lei , Yamuhanmode Alike , Tang Yi-Yong , Li Fang-Qi , Meng Ke , Hou Jing-Yi , Yang Rui 
Published: May 2022

Background: Knotted suture bridge repair (KSBR) has been widely proven to be an effective method for rotator cuff repairs. However, the occurrence of type 2 failure after suture bridge repair remains a frequent problem because of the stress concentration and disturbance of tendon perfusion in the medial row. The authors have developed the H-loop knotless double–row repair (HLDR) to counteract these problems. Purpose: To compare the biomechanical and histological outcomes of HLDR and KSBR for rotator cuff tear in the rabbit model. Study Design: Controlled laboratory study. Methods: Acute bilateral supraspinatus tears were created on the shoulders of 46 New Zealand White rabbits. HLDR and KSBR were randomly performed on the left side or right side. Thirteen animals each were sacrificed at 2, 4, and 8 weeks after surgery (n = 39), with 6 rabbits used for histological evaluation and the other 7 rabbits for biomechanical testing. The remaining 7 animals from the original 46 were only used for initial biomechanical evaluation at week 0. Results: Macroscopically, all repaired tendons were connected to their footprint on the greater tuberosity without postoperative complications at 8 weeks after surgery. The HLDR group had significantly better histological bone–to–tendon integration compared with the KSBR group in terms of fibrocartilage regeneration, collagen composition, and fiber organization. The biomechanical outcomes in the HLDR group were demonstrated to be better than those of the KSBR group at time 0 and 8 weeks after surgery. Conclusion: Both repair techniques were effective for rotator cuff tears in a rabbit rotator cuff tear model; however, HLDR demonstrated more advantages in improving biomechanical properties and histological tendon–to–bone healing compared with KSBR. Clinical Relevance: This animal study suggested that HLDR might be an alternative choice for rotator cuff tears in humans to increase tendon–to–bone healing and reduce the rate of failure to heal.
Personalized Medicine Using Predictive Analytics: A Machine Learning-Based Prognostic Model for Patients Undergoing Hip Arthroscopy
Authors: Domb Benjamin G. , Ouyang Vivian W. , Go Cammille C. , Gornbein Jeffrey A. , Shapira Jacob , Meghpara Mitchell B. , Maldonado David R. , Lall Ajay C. , Rosinsky Philip J. 
Published: May 2022

Background: Personalized medicine models to predict outcomes of orthopaedic surgery are scarce. Many have required data that are only available postoperatively, mitigating their usefulness in preoperative decision making. Purpose: To establish a method for predictive modeling to enable individualized prognostication and shared decision making based on preoperative patient factors using data from a prospective hip preservation registry. Study Design: Cohort study (Prognosis); Level of evidence, 2. Methods: Preoperative data of 2415 patients undergoing hip arthroscopy for femoroacetabular impingement syndrome between February 2008 and November 2017 were retrospectively analyzed. Two machine-learning analyses were evaluated: Tree-structured survival analysis (TSSA) and Cox proportional hazards modeling for predicting time to event and for computing hazard ratios for survivorship after hip arthroscopy. The Fine-Gray model was similarly used for repeat hip arthroscopy. Variables were selected for inclusion using the minimum Akaike Information Criterion (AIC). The stepwise selection was used for the Cox and Fine-Gray models. A web-based calculator was created based on the final models. Results: Prognostic models were successfully created using Cox proportional hazards modeling and Fine-Gray models for survivorship and repeat hip arthroscopy, respectively. The Harrell C-statistics of the Cox model calculators for survivorship after hip arthroscopy and the Fine-Gray model for repeat hip arthroscopy were 0.848 and 0.662, respectively. Using the AIC, 13 preoperative variables were identified as predictors of survivorship, and 6 variables were identified as predictors for repeat hip arthroscopy. In contrast, the TSSA model performed poorly, resulting in a Harrell C-statistic <0.6, rendering it inaccurate and not interpretable. A web-based calculator was created based on these models. Conclusion: This study successfully created an institution-specific machine learning–based prognostic model for predictive analytics in patients undergoing hip arthroscopy. Prognostic models to predict survivorship and the need for repeat surgeries were both adapted into web-based tools to assist the physician with shared decision making. This prognostic model may be useful at other institutions after performing external validation. Additionally, this study may serve as proof of concept for a methodology for the development of patient-specific prognostic models. This methodology may be used to create other predictive analytics models in different realms of orthopaedic surgery, contributing to the evolution from evidence-based medicine to personalized medicine.
Loan Repayment Dynamics of Self-help Groups in India
Authors: Muduli Silu , Sharma Manu 
Published: May 2022

The overall ratio of non-performing assets (NPAs) to total advances (the NPA ratio) extended to self-help groups (SHGs) has historically remained below 8 per cent in India. However, in the central, northern, and north-eastern regions of India, this ratio is relatively high and has remained above 15 per cent since 2015–2016. Using state-level data, the study identifies SHG-specific and state-specific factors that might be responsible for higher NPAs ratios. It also examines whether higher NPAs constrain access to future credit. Spatial analysis confirms the existence of geographical clustering of NPAs in the northern and central regions of the country. SHGs with lower outstanding loans and lower savings are more likely to default, the relationship being stronger in states with higher NPAs. The article finds that states with higher SHGs densities, per capita incomes, and road and railway connectivity, and lower infant mortality rates have lower NPAs in their SHGs. SHGs with lower savings and higher NPAs operating in states with lower per capita incomes and banking penetration face difficulties accessing fresh credits. JEL Codes: G21, O18, R51
Equalisation Transfers Based on Spending Needs and Fiscal Capacity of State Governments in India
Authors: Shanmugam K. , Shanmugam K. R. 
Published: May 2022

This study addresses an important policy issue pertaining to the determination of equalisation transfers to Indian states. It empirically estimates the effect of transfers on the expenditures of 29 Indian states using panel data methodology. It also determines transfers based on the spending needs and fiscal capacities of states. The results indicate a strong crowding-in effect of transfers on the public spending of states and the presence of the flypaper effect. Fiscal transfers relate positively to revenue expenditures in 13 out of 18 general category states and in 8 out of 11 special category states. The estimated amounts of equalisation transfers for all 29 states in four alternative scenarios, based on alternative benchmarks of fiscal capacities and spending needs, range between ₹555 billion and ₹16,048 billion. We believe these results will help policymakers and other stakeholders to design appropriate fiscal transfer strategies such that all citizens can avail a standard level of public services in India. JEL Codes: H77, H73, H72, C23