bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Impact of Climate Change on the Resistance of Rice Near-Isogenic Lines with Resistance Genes Against Brown Planthopper
Authors: Kuang Yun-Hung , Fang Yu-Fu , Lin Shau-Ching , Tsai Shin-Fu , Yang Zhi-Wei , Li Charng-Pei , Huang Shou-Horng , Hechanova Sherry Lou , Jena Kshirod K. , Chuang Wen-Po 
Published: August 2021

Abstract
Background
The impact of climate change on insect resistance genes is elusive. Hence, we investigated the responses of rice near-isogenic lines (NILs) that carry resistance genes against brown planthopper (BPH) under different environmental conditions.

Results
We tested these NILs under three environmental settings (the atmospheric temperature with corresponding carbon dioxide at the ambient, year 2050 and year 2100) based on the Intergovernmental Panel on Climate Change prediction. Comparing between different environments, two of nine NILs that carried a single BPH-resistant gene maintained their resistance under the environmental changes, whereas two of three NILs showed gene pyramiding with two maintained BPH resistance genes despite the environmental changes. In addition, two NILs (NIL-BPH17 and NIL-BPH20) were examined in their antibiosis and antixenosis effects under these environmental changes. BPH showed different responses to these two NILs, where the inhibitory effect of NIL-BPH17 on the BPH growth and development was unaffected, while NIL-BPH20 may have lost its resistance during the environmental changes.

Conclusion
Our results indicate that BPH resistance genes could be affected by climate change. NIL-BPH17 has a strong inhibitory effect on BPH feeding on phloem and would be unaffected by environmental changes, while NIL-BPH20 would lose its ability during the environmental changes.
Effects of a pharmaceutical care intervention on clinical outcomes and patient adherence in coronary heart disease: the MIMeRiC randomized controlled trial
Authors: Östbring Malin Johansson , Eriksson Tommy , Petersson Göran , Hellström Lina 
Published: August 2021

Abstract
Background
In the treatment of coronary heart disease, secondary prevention goals are still often unmet and poor adherence to prescribed drugs has been suggested as one of the reasons. We aimed to investigate whether pharmaceutical care by a pharmacist at the cardiology clinic trained in motivational interviewing improves clinical outcomes and patient adherence.

Methods
This was a prospective, randomized, controlled, outcomes-blinded trial designed to compare pharmaceutical care follow-up with standard care. After standard follow-up at the cardiology clinic, patients in the intervention group were seen by a clinical pharmacist two to five times as required over seven months. Pharmacists were trained to use motivational interviewing in the consultations and they tailored their support to each patient’s clinical needs and beliefs about medicines. The primary study end-point was the proportion of patients who reached the treatment goal for low-density lipoprotein cholesterol by 12 months after discharge. The key secondary outcome was patient adherence to lipid-lowering therapy at 15 months after discharge, and other secondary outcomes were the effects on patient adherence to other preventive drugs, systolic blood pressure, disease-specific quality of life, and healthcare use.

Results
316 patients were included. The proportion of patients who reached the target for low-density lipoprotein cholesterol were 37.0% in the intervention group and 44.2% in the control group (P = .263). More intervention than control patients were adherent to cholesterol-lowering drugs (88 vs 77%; P = .033) and aspirin (97 vs 91%; P = .036) but not to beta-blocking agents or renin–angiotensin–aldosterone system inhibitors.

Conclusions
Our intervention had no positive effects on risk factors for CHD, but it increased patient adherence. Further investigation of the intervention process is needed to explore the difference in results between patient adherence and medication effects. Longer follow-up of healthcare use and mortality will determine if the increased adherence per se eventually will have a meaningful effect on patient health.
Trial registration: ClinicalTrials.gov NCT02102503, 03/04/2014 retrospectively registered.
A phenomics approach for antiviral drug discovery
Authors: Rietdijk Jonne , Tampere Marianna , Pettke Aleksandra , Georgiev Polina , Lapins Maris , Warpman-Berglund Ulrika , Spjuth Ola , Puumalainen Marjo-Riitta , Carreras-Puigvert Jordi 
Published: August 2021

AbstractBackgroundThe emergence and continued global spread of the current COVID-19 pandemic has highlighted the need for methods to identify novel or repurposed therapeutic drugs in a fast and effective way. Despite the availability of methods for the discovery of antiviral drugs, the majority tend to focus on the effects of such drugs on a given virus, its constituent proteins, or enzymatic activity, often neglecting the consequences on host cells. This may lead to partial assessment of the efficacy of the tested anti-viral compounds, as potential toxicity impacting the overall physiology of host cells may mask the effects of both viral infection and drug candidates. Here we present a method able to assess the general health of host cells based on morphological profiling, for untargeted phenotypic drug screening against viral infections.ResultsWe combine Cell Painting with antibody-based detection of viral infection in a single assay. We designed an image analysis pipeline for segmentation and classification of virus-infected and non-infected cells, followed by extraction of morphological properties. We show that this methodology can successfully capture virus-induced phenotypic signatures of MRC-5 human lung fibroblasts infected with human coronavirus 229E (CoV-229E). Moreover, we demonstrate that our method can be used in phenotypic drug screening using a panel of nine host- and virus-targeting antivirals. Treatment with effective antiviral compounds reversed the morphological profile of the host cells towards a non-infected state.ConclusionsThe phenomics approach presented here, which makes use of a modified Cell Painting protocol by incorporating an anti-virus antibody stain, can be used for the unbiased morphological profiling of virus infection on host cells. The method can identify antiviral reference compounds, as well as novel antivirals, demonstrating its suitability to be implemented as a strategy for antiviral drug repurposing and drug discovery.
Visceral adiposity index and atherogenic index of plasma as useful predictors of risk of cardiovascular diseases: evidence from a cohort study in Iran
Authors: Hamzeh Behrooz , Pasdar Yahya , Mirzaei Narmin , Faramani Roya Safari , Najafi Farid , Shakiba Ebrahim , Darbandi Mitra 
Published: August 2021

Abstract
Background
Visceral adiposity index (VAI) and atherogenic index of plasma (AIP) are relatively new indicators for predicting non-communicable diseases (NCDs). Therefore, the present study was done to assess the association of AIP and VAI with risk of cardiovascular diseases (CVDs).

Methods
This cross-sectional study was conducted on 7,362 individuals aged between 35 and 65 years old participated in Ravansar non-communicable diseases (RaNCD) cohort study. AIP was calculated based on levels of triglyceride and high -density lipoprotein cholesterol (HDL-C). VAI was calculated using values of body mass index (BMI), waist circumference (WC), triglyceride, and HDL-C. Logistic regression models were used to assess the association of AIP and VAI with risk of CVDs.

Results
Mean values of anthropometric indices, lipid profile, AIP, and VAI were significantly higher in patients with CVDs than individuals without CVDs (P < 0.001). Mean values of anthropometric indices, lipid profile, and NCDs including hypertension, dyslipidemia, diabetes, metabolic syndrome (MetS), and CVDs in the third tertile of AIP and VAI were significantly increased compared to the first tertile (P < 0.001). After adjusting confounding factors, risk of CVDs in the third tertile of AIP was (OR = 1.32, 95 % CI: 1.03, 1.69) significantly increased compared to the first tertile. Risk of CVDs in the third tertile of VAI was (OR = 1.48, 95 % CI: 1.12, 1.97) significantly increased compared to the first tertile.

Conclusions
According to the findings, AIP and VAI were positively associated with risk of CVDs. Therefore, AIP and VAI can be useful in identifying high-risk subgroups of CVDs in general population.
Molecular biochemical aspects of salt (sodium chloride) in inflammation and immune response with reference to hypertension and type 2 diabetes mellitus
Authors: Das Undurti N. 
Published: August 2021

AbstractObesity, insulin resistance, type 2 diabetes mellitus (T2DM) and hypertension (HTN) are common that are associated with low-grade systemic inflammation. Diet, genetic factors, inflammation, and immunocytes and their cytokines play a role in their pathobiology. But the exact role of sodium, potassium, magnesium and other minerals, trace elements and vitamins in the pathogenesis of HTN and T2DM is not known. Recent studies showed that sodium and potassium can modulate oxidative stress, inflammation, alter the autonomic nervous system and induce dysfunction of the innate and adaptive immune responses in addition to their action on renin-angiotensin-aldosterone system. These actions of sodium, potassium and magnesium and other minerals, trace elements and vitamins are likely to be secondary to their action on pro-inflammatory cytokines IL-6, TNF-α and IL-17 and metabolism of essential fatty acids that may account for their involvement in the pathobiology of insulin resistance, T2DM, HTN and autoimmune diseases.
Blood lipid profile changes in type 2 diabetic rats after tail suspension and reloading
Authors: Tanaka Shoji , Madokoro Sachiko , Inaoka Pleiades Tiharu , Yamazaki Toshiaki 
Published: August 2021

AbstractPurposeThe effects of the tail suspension and reloading on the protein and lipid metabolism in muscle and blood in type 2 diabetes mellitus (T2DM) are unclear. This study evaluated the hypothesis that skeletal muscle catabolism is greater in T2DM than in non-diabetes mellitus (non-DM) rats and that the activity-dependent changes in the intramuscular lipid accumulation and blood lipid profile are poorer in T2DM than in non-DM rats.MethodsT2DM and non-DM rats were suspended for two weeks followed by reloading for two weeks. The muscle and blood were then examined.ResultsIn contrast to our hypothesis, there was no marked difference between the T2DM and non-DM groups in terms of the skeletal muscle catabolism and activity-dependent changes in intramuscular lipid accumulation. However, the blood lipid profile increased in the T2DM group compared to the non-DM group. One interesting finding in this study was the decrease in non-high-density lipoprotein (non-HDL) cholesterol levels after one week of reloading followed by a significant increase in the non-HDL cholesterol levels after two weeks of reloading in the T2DM group.ConclusionThese results suggest that a dramatic increase in activity after a period of inactivity may rapidly improve the blood lipid profile in T2DM rats.
The preoperative prognostic value of the radiomics nomogram based on CT combined with machine learning in patients with intrahepatic cholangiocarcinoma
Authors: Tang Youyin , Zhang Tao , Zhou Xianghong , Zhao Yunuo , Xu Hanyue , Liu Yichun , Wang Hang , Chen Zheyu , Ma Xuelei 
Published: August 2021

Abstract
Background
Intrahepatic cholangiocarcinoma is an aggressive liver carcinoma with increasing incidence and mortality. A good auxiliary prognostic prediction tool is desperately needed for the development of treatment strategies. The purpose of this study was to explore the prognostic value of the radiomics nomogram based on enhanced CT in intrahepatic cholangiocarcinoma.

Methods
In this retrospective study, 101 patients with pathological confirmation of intrahepatic cholangiocarcinoma were recruited. A radiomics nomogram was developed by radiomics score and independent clinical risk factors selecting from multivariate Cox regression. All patients were stratified as high risk and low risk by a nomogram. Model performance and clinical usefulness were assessed by calibration curve, ROC curve, and survival curve.

Results
A total of 101patients (mean age, 58.2 years old; range 36–79 years old) were included in the study. The 1-year, 3-year, and 5-year overall survival rates were 49.5%, 26.6%, and 14.4%, respectively, with a median survival time of 12.2 months in the whole set. The least absolute shrinkage and selection operator (LASSO) method selected 3 features. Multivariate Cox analysis found three independent prognostic factors. The radiomics nomogram showed a significant prognosis value with overall survival. There was a significant difference in the 1-year and 3-year survival rates of stratified high-risk and low-risk patients in the whole set (30.4% vs. 56.4% and 13.0% vs. 30.6%, respectively, p = 0.018).

Conclusions
This radiomics nomogram has potential application value in the preoperative prognostic prediction of intrahepatic cholangiocarcinoma and may facilitate in clinical decision-making.
Compound heterozygosity for hemoglobin S and hemoglobin E in a family of Proto-Australoid origin: a case report
Authors: Basumatary Noymi , Baruah Dipankar , Sarma Paresh Kumar , Sarmah Jatin 
Published: August 2021

Abstract
Background
Hemoglobin S and E are commonly occurring hemoglobin variants among distinctly separate tribal populations of Central and Northeast India, respectively. Combined heterozygosity for hemoglobin S and E or hemoglobin SE disease is a benign clinical condition with rare incidence. Reports of approximately 46 hemoglobin SE cases are available worldwide. We conducted a screening program to study the prevalence of hemoglobin variants among the tribal population working in the tea estates of Northeast India. A total of 551 subjects were screened, and complete blood count was performed. Based on their hematological profiles, hemoglobin typing was done for 218 subjects.

Case presentation
We describe a case of an adolescent male of Munda tribe diagnosed as double heterozygous for hemoglobin S and E. On screening of the nuclear family of the subject, the mother was found to have hemoglobin E disease and father as hemoglobin S trait. Both siblings of the subject were diagnosed as hemoglobin E trait.

Conclusion
This is the first case of compound heterozygous for hemoglobin S and E to be reported from the tea tribes of Assam, India.
A noise robust automatic radiolocation animal tracking system
Authors: Wang Liang , Diakogiannis Foivos , Mills Scott , Bajema Nigel , Atkinson Ian , Bishop-Hurley Greg J. , Charmley Ed 
Published: August 2021

AbstractAgriculture is becoming increasingly reliant upon accurate data from sensor arrays, with localization an emerging application in the livestock industry. Ground-based time difference of arrival (TDoA) radio location methods have the advantage of being lightweight and exhibit higher energy efficiency than methods reliant upon Global Navigation Satellite Systems (GNSS). Such methods can employ small primary battery cells, rather than rechargeable cells, and still deliver a multi-year deployment. In this paper, we present a novel deep learning algorithm adapted from a one-dimensional implementing a convolutional neural network (CNN) model, originally developed for the task of semantic segmentation. The presented model () both converts TDoA sequences directly to positions and reduces positional errors introduced by sources such as multipathing. We have evaluated the model using simulated animal movements in the form of TDoA position sequences in combination with real-world distributions of TDoA error. These animal tracks were simulated at various step intervals to mimic potential TDoA transmission intervals. We compare to a Kalman filter to evaluate the performance of our algorithm to a more traditional noise reduction approach. On average, for simulated tracks having added noise with a standard deviation of 50 m, the described approach was able to reduce localization error by between 66.3% and 73.6%. The Kalman filter only achieved a reduction of between 8.0% and 22.5%. For a scenario with larger added noise having a standard deviation of 100 m, the described approach was able to reduce average localization error by between 76.2% and 81.9%. The Kalman filter only achieved a reduction of between 31.0% and 39.1%. Results indicate that this novel 1D CNN like encoder/decoder for TDoA location error correction outperforms the Kalman filter. It is able to reduce average localization errors to between 16 and 34 m across all simulated experimental treatments while the uncorrected average TDoA error ranged from 55 to 188 m.
Unjust: the health records of youth with personal/family justice involvement in a large pediatric health system
Authors: Boch Samantha , Sezgin Emre , Ruch Donna , Kelleher Kelly , Chisolm Deena , Lin Simon 
Published: August 2021

Abstract
Background
Mass incarceration has had an undeniable toll on childhood poverty and inequality, however, little is known about the consequences on pediatric health. The purpose of this study was to identify and describe the health of pediatric patients with probable personal or family history involvement with the correctional system.

Methods
A descriptive study was conducted using electronic health record data of 2.3 million youth (ages 0–21 years) who received care in a large Midwestern hospital-based institution from February 2006–2020. We employed a correctional-related keyword search (e.g. jail, prison, probation, parole) to locate youth with probable personal or family history involvement. Health characteristics were measured as clinician diagnostic codes.

Results
Two percent of the total pediatric population had a correctional keyword in the medical chart (N = 51,855). This 2% made up 66% of all patients with cannabis-related diagnoses, 52% of all patients with trauma-related diagnoses, 48% of all stress-related diagnoses, 38% of all patients with psychotic disorder diagnoses, and 33% of all suicidal-related disorders within this institution’s electronic health record database – among other highly concerning findings.

Conclusions
We captured an alarming health profile that warrants further investigation and validation methods to better address the gaps in our clinical understanding of youth with personal or family history involvement with the correctional system. We can do better in identifying, and supporting families affected by the correctional system.
On the usefulness of CDA-based score reporting: implications for self-regulated learning
Authors: Yi Yeon-Sook 
Published: August 2021

AbstractIn cognitive diagnostic modeling research, one area that has not had enough research interests is remedial learning or instruction based on the information provided by cognitive diagnostic assessment (CDA). The present study tries to address this research gap by looking into the usefulness of the fine-grained score reports based on CDA in two different ways, i.e., a post-test and a survey inquiring about the perceived effectiveness of the score report that provided the skill profile of individual students. Another significance of the current research is that it attempted to introduce cognitive diagnostic assessment into a regular school exam unlike most previous studies that retrofitted to the existing tests. College students in Korea participated in the study, who were encouraged to do self-regulated learning utilizing the detailed information in the CDA-based score report. The results of the post-test and the survey were positive overall, supporting the utility of CDA-generated performance reports. The article ends with some suggestions for future research based on the limitations of the study.
Attachment, Mentalization, and Criterion B of the Alternative DSM-5 Model for Personality Disorders (AMPD)
Authors: Ball Cooper Ericka , Anderson Jaime L. , Sharp Carla , Langley Hillary A. , Venta Amanda 
Published: August 2021

Abstract
Background
The mentalization theory posits that interpersonal difficulties and maladaptive personality traits develop from an insecure attachment pattern with one’s caregiver and corresponding deficits in mentalizing—the ability to understand others’ and one’s own mental states. Mentalizing deficits have been theorized as the basis for all psychopathology, with the paradigmatic case being Borderline Personality Disorder. Nevertheless, developments in the personality field indicate personality pathology is best represented dimensionally, and such a proposal was outlined by the Alternative DSM-5 Model for Personality Disorders (AMPD). Despite evidence linking the mentalization theory to personality disorders, however, it has yet to be applied to Criterion B of the AMPD. The aim of the present study was to evaluate the moderating role of mentalizing in the relation between attachment and Criterion B maladaptive trait function in a sample of undergraduates. We hypothesized a model in which: (1) attachment insecurity would be positively associated with the Negative Affectivity, Antagonism, and Disinhibition personality domains; (2) mentalizing ability would be negatively associated with these domains; and, (3) there would be an interaction effect between attachment and mentalizing when predicting these same domains.

Methods
Personality domains were measured dimensionally via the Personality Inventory for DSM-5 (PID-5-SF), while the dependence and avoidance domains of attachment were assessed via the Relationship Questionnaire (RQ). Mentalizing ability was tapped by the Movie for the Assessment of Social Cognition (MASC). The AMPD personality domains and trait facets were examined as dependent variables; attachment dependence, attachment avoidance, and overall mentalizing ability were entered as independent variables; and interaction terms between mentalizing and each attachment dimension were used to test moderation via MANCOVAs.

Results
Consistent with expectations, results indicated overall mentalizing moderated the relation between attachment avoidance and Negative Affectivity. Posthoc analyses revealed similar effects on the relations between attachment avoidance and the Emotional Lability, Hostility, and Perseveration trait facets; however, there were no significant moderation findings related to attachment dependence.

Conclusions
These results support the mentalization theory’s application to Criterion B of the AMPD, particularly in relation to the links between Negative Affectivity and borderline-related traits, and encourage future research of dimensional maladaptive personality. They further bolster support for understanding maladaptive personality as a dimensional construct.
Structural properties of generalised Planck distributions
Authors: Pakes Anthony G. 
Published: August 2021

AbstractA family of generalised Planck (GP) laws is defined and its structural properties explored. Sometimes subject to parameter restrictions, a GP law is a randomly scaled gamma law; it arises as the equilibrium law of a perturbed version of the Feller mean reverting diffusion; the density functions can be decreasing, unimodal or bimodal; it is infinitely divisible. It is argued that the GP law is not a generalised gamma convolution. Characterisations are obtained in terms of invariance under random contraction of a weighted version of a related law. The GP law is a particular instance of equilibrium laws obtained from a recursion suggested by a genetic mutation-selection balance model. Some related infinitely divisible laws are exhibited.