bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mediation and Moderation of an Educational Intervention for Improving Intention to Practise Pneumoconiosis Prevention Among South Asian Construction Workers
Authors: Wong Cho Lee , Chen Jieling , So Winnie Kowk Wei , Leung Doris Yin Ping 
Published: September 2020

Objective:
To examine components of the Health Belief Model (HBM) as mediators and socio-demographic characteristics as moderators of the effects of an educational intervention on intention to practise pneumoconiosis prevention among South Asian construction workers.

Methods:
The study used a one-group pretest and posttest design. Analytic data was from 1001 South Asian construction workers in Hong Kong.

Results:
Changes in the perceived susceptibility, perceived severity, perceived benefits, cues to action, and self-efficacy mediated the intervention's efficacy in improving intention to practise pneumoconiosis prevention. The intervention was more effective in reducing perceived barriers in younger workers, enhancing self-efficacy in older workers and relatively new employees, and improving the intention in unmarried workers.

Conclusions:
It provided preliminary support for the efficacy of the intervention based on the HBM in improving intention to practise pneumoconiosis prevention among South Asian construction workers.
Imaging of renal fibrosis
Authors: Hysi Eno , Yuen Darren A. 
Published: September 2020

Purpose of review
Fibrosis is an important biomarker of chronic kidney injury, and a powerful predictor of renal outcome. Currently, the only method for measuring fibrotic burden is histologic analysis, which requires a kidney biopsy in humans, or kidney removal in animal models. These requirements have not only hindered our ability to manage patients effectively, but have also prevented a full understanding of renal fibrosis pathogenesis, and slowed the translation of new antifibrotic agents. The development of noninvasive fibrosis imaging tools could thus transform both clinical care and renal fibrosis research.

Recent findings
Conventional imaging modalities have historically failed to image fibrosis successfully. However, recent exciting technological advances have greatly enhanced their capabilities. New techniques, for example, may allow imaging of the physical consequences of scarring, as surrogate measures of renal fibrosis. Similarly, other groups have developed ways to directly image extracellular matrix, either with the use of contrast-enhanced probes, or using matrix components as endogenous contrast agents.

Summary
New developments in imaging technology have the potential to transform our ability to visualize renal fibrosis and to monitor its progression. In doing so, these advances could have major implications for kidney disease care, the development of new antiscarring agents, and our understanding of renal fibrosis in general.
Immunometabolism in haematopoietic stem cell transplantation and adoptive cellular therapies
Authors: Braverman Erica L. , Waltz Gail , Byersdorfer Craig A. 
Published: September 2020

Purpose of review
Controlling T cell activity through metabolic manipulation has become a prominent feature in immunology and practitioners of both adoptive cellular therapy (ACT) and haematopoietic stem cell transplantation (HSCT) have utilized metabolic interventions to control T cell function. This review will survey recent metabolic research efforts in HSCT and ACT to paint a broad picture of immunometabolism and highlight advances in each area.

Recent findings
In HSCT, recent publications have focused on modifying reactive oxygen species, sirtuin signalling or the NAD salvage pathway within alloreactive T cells and regulatory T cells. In ACT, metabolic interventions that bolster memory T cell development, increase mitochondrial density and function, or block regulatory signals in the tumour microenvironment (TME) have recently been published.

Summary
Metabolic interventions control immune responses. In ACT, efforts seek to improve the in-vivo metabolic fitness of T cells, while in HSCT energies have focused on blocking alloreactive T cell expansion or promoting regulatory T cells. Methods to identify new, metabolically targetable pathways, as well as the ability of metabolic biomarkers to predict disease onset and therapeutic response, will continue to advance the field towards clinically applicable interventions.
Differential Diagnosis of Diarrhea in Patients With Neuroendocrine Tumors
Authors: Eads Jennifer R. , Reidy-Lagunes Diane , Soares Heloisa P. , Chan Jennifer A. , Anthony Lowell B. , Halfdanarson Thorvardur R. , Naraev Boris G. , Wolin Edward M. , Halperin Daniel M. , Li Daneng , Pommier Rodney F. , Zacks Jerome S. , Morse Michael A. , Metz David C. ,   from the Carcinoid Syndrome Control Collaborative
Published: September 2020

Abstract
Patients with neuroendocrine tumors (NETs) and carcinoid syndrome experience diarrhea that can have a debilitating effect on quality of life. Diarrhea also may develop in response to other hormonal syndromes associated with NETs, surgical complications, medical comorbidities, medications, or food sensitivities. Limited guidance on the practical approach to the differential diagnosis of diarrhea in these patients can lead to delays in appropriate treatment. This clinical review and commentary underscore the complexity in identifying the etiology of diarrhea in patients with NETs. Based on our collective experience and expertise, we offer a practical algorithm to guide medical oncologists and other care providers to expedite effective management of diarrhea and related symptoms in patients with NETs.
Reviews on Current Liquid Biopsy for Detection and Management of Pancreatic Cancers
Authors: Kaczor-Urbanowicz Karolina Elżbieta , Cheng Jordan , King Jonathan C. , Sedarat Alireza , Pandol Stephen J. , Farrell James J. , Wong David T.W. , Kim Yong 
Published: September 2020

Abstract
Pancreatic cancer is the fourth leading cause of cancer death in the United States. Pancreatic cancer presents dismal clinical outcomes in patients, and the incidence of pancreatic cancer has continuously increased to likely become the second most common cause of cancer-related deaths by as early as 2030. One of main reasons for the high mortality rate of pancreatic cancer is the lack of tools for early-stage detection. Current practice in detecting and monitoring therapeutic response in pancreatic cancer relies on imaging analysis and invasive endoscopic examination. Liquid biopsy–based analysis of genetic alterations in biofluids has become a fundamental component in the diagnosis and management of cancers. There is an urgent need for scientific and technological advancement to detect pancreatic cancer early and to develop effective therapies. The development of a highly sensitive and specific liquid biopsy tool will require extensive understanding on the characteristics of circulating tumor DNA in biofluids. Here, we have reviewed the current status of liquid biopsy in detecting and monitoring pancreatic cancers and our understanding of circulating tumor DNA that should be considered for the development of a liquid biopsy tool, which will greatly aid in the diagnosis and healthcare of people at risk.
Direct and Indirect Associations Between Loneliness and Thoughts of Self-Harm Among a Clinical Sample of Older Adults With Serious Mental Illness
Authors: Dell Nathaniel A. , Huang Jin , Buttafuoco Kayla A. , Vidovic Kristina R. , Murphy Allison M. , Farrar Leon A. 
Published: September 2020

AbstractThis cross-sectional study examines the relationships of loneliness and depressive symptoms to thoughts of self-harm among a clinical sample (n= 150) of older adults (M = 58.42 years, SD = 5.86 years; male, 55.3%; African American, 61.3%) with serious mental illness (SMI) receiving publicly funded, community-based psychiatric rehabilitation services. Participants completed the De Jong Gierveld Loneliness Scale, Multidimensional Scale of Perceived Social Support, Patient Health Questionnaire 9, and Geriatric Depression Scale–Short Form. Mediation analyses tested the association of loneliness with thoughts of self-harm through depressive symptoms and were adjusted for social support and demographic variables. The direct association of loneliness with thoughts of self-harm was mediated by depressive symptoms; indirect associations of overall and emotional loneliness to thoughts of self-harm were significant. Findings suggest the need for clinicians to reduce feelings of loneliness among older adults with SMI as a means of partially ameliorating depressive symptoms and thoughts of self-harm.
Voicing Jordanian Adolescents’ Suicide
Authors: Dardas Latefa Ali , Price Malena M. , Arscott Joyell , Shahrour Ghada , Convoy Sean 
Published: September 2020

Background
Studies focusing on adolescent suicide in Arab countries are particularly scarce, with the few available undertaken from within an epidemiological paradigm.

Objective
This study aimed to understand Jordanian adolescents’ perceptions, beliefs, and attitudes toward suicide.

Methods
A qualitative design using 12 dual-moderator focus group discussions was conducted in public schools. Participants were selected from the three main regions of the country (rural southern, urban central, and suburban northern). Participants included Jordanian adolescent boys and girls, aged 14–17 years, who reported experiencing mild to moderate depressive symptoms. A relational content analysis approach was used for coding data, and a content analysis was used to identify salient thematic categories. Data were analyzed using NVivo software.

Results
Four themes emerged, including perceived risk factors, perceived protective factors, active and passive suicidal ideations, and e-games and Internet influences. Main risk factors were depression; anxiety; stigma, shame, and isolation; family issues; life pressures; and guilt. Conversely, religiosity, perceived positive family functioning, and availability of long-term goals seemed to confer resilience to adolescents’ suicidal ideation and behavior. Passive suicidality (having death wishes without any plans to complete suicide) was noticed most among participants who feared jeopardizing the family’s reputation if they committed suicide. Several boys with active suicidal ideations used the Blue Whale Challenge e-game to learn how to complete suicide and relinquish their problems.

Discussion
Suicide is a multifactorial problem requiring multimodal strategies. Evidence from this research suggests that those most passionate about the outcome of interest are encouraged to redouble efforts to reduce modifiable risk factors, enrich protective factors, target the underlying psychiatric illness that informs suicidal ideations and behavior, and research the effect of social media and Internet activity more deeply. Parents are advised to monitor the online activities of their children and familiarize themselves with the digital applications they use.
Adherence to a Hypoglycemia Protocol in Hospitalized Patients
Authors: Tracy Mary Fran , Manchester Carol , Mathiason Michelle A. , Wood Jeff , Moore Amy 
Published: September 2020

Background
Hypoglycemia can be a common occurrence in hospitalized patients, both those with and without diabetes. Hypoglycemia poses significant risks to hospitalized patients, including increased mortality.

Objectives
This was a retrospective pre–post study of hypoglycemic patients in an academic medical center of an intervention to improve timely staff nurse adherence to a hypoglycemia protocol. The number of mild and severe hypoglycemia events pre- and postintervention, timeliness of adherence to the hypoglycemia protocol, the number of treatment interventions, and time to return patients to euglycemia were analyzed.

Methods
Data from hospitalizations of patients who experienced hypoglycemia (<70 mg/dl) and met inclusion criteria 1 year prior to intervention and 3 years postintervention were extracted, including demographics, glycemic control medications, diagnostic-related group, length of stay, and Charlson comorbidity index. For clarity and to determine if any significant change was sustained, the analysis compared data from 1 year prior to intervention to the second-year postintervention.

Results
A total of 7,895 unique hypoglycemic events in 3,819 patients experiencing 20,094 hypoglycemic measures were included in the analysis. Patients were primarily adult, female, and White. Only 58.7% of the sample had diabetes; the median Charlson comorbidity index was 6. Results demonstrated improvement postintervention to registered nurse hypoglycemia protocol adherence regardless of age category or hypoglycemia severity. There was a significant reduction in median time from the first hypoglycemia measure to the second measure. In addition, there was a significant difference in the number of treatment interventions and reduction in time from the first hypoglycemia measure to return of patient to a blood glucose of ≥70 mg/dl.

Discussion
These study results support that the use of a standardized hypoglycemia protocol and appropriate nurse workflows enables nurses to manage hypoglycemia promptly and effectively in most acute and critically ill hospitalized patients. Results also supported a differentiation in nurse workflow for patients with mild versus severe hypoglycemia. Implementing these interventions may result in avoidance or mitigation of the potential consequences of severe and/or sustained hypoglycemia.
Caring for Critically Ill Children With Suspected or Proven Coronavirus Disease 2019 Infection: Recommendations by the Scientific Sections’ Collaborative of the European Society of Pediatric and Neonatal Intensive Care*
Authors: Rimensberger Peter C. , Kneyber Martin C. J. , Deep Akash , Bansal Mehak , Hoskote Aparna , Javouhey Etienne , Jourdain Gilles , Latten Lynne , MacLaren Graeme , Morin Luc , Pons-Odena Marti , Ricci Zaccaria , Singh Yogen , Schlapbach Luregn J. , Scholefield Barnaby R. , Terheggen Ulrich , Tissières Pierre , Tume Lyvonne N. , Verbruggen Sascha , Brierley Joe 
Published: September 2020

Objectives:
In children, coronavirus disease 2019 is usually mild but can develop severe hypoxemic failure or a severe multisystem inflammatory syndrome, the latter considered to be a postinfectious syndrome, with cardiac involvement alone or together with a toxic shock like-presentation. Given the novelty of severe acute respiratory syndrome coronavirus 2, the causative agent of the recent coronavirus disease 2019 pandemic, little is known about the pathophysiology and phenotypic expressions of this new infectious disease nor the optimal treatment approach.

Study Selection:
From inception to July 10, 2020, repeated PubMed and open Web searches have been done by the scientific section collaborative group members of the European Society of Pediatric and Neonatal Intensive Care.

Data Extraction:
There is little in the way of clinical research in children affected by coronavirus disease 2019, apart from descriptive data and epidemiology.

Data Synthesis:
Even though basic treatment and organ support considerations seem not to differ much from other critical illness, such as pediatric septic shock and multiple organ failure, seen in PICUs, some specific issues must be considered when caring for children with severe coronavirus disease 2019 disease.

Conclusions:
In this clinical guidance article, we review the current clinical knowledge of coronavirus disease 2019 disease in critically ill children and discuss some specific treatment concepts based mainly on expert opinion based on limited experience and the lack of any completed controlled trials in children at this time.
Impacted Spike Frequency Adaptation Associated with Reduction of KCNQ2/3 Promotes Seizure Activity in Temporal Lobe Epilepsy
Authors: Li Rongrong , Jiang Shicheng , Tan Shuo , Liu Bei , Liu Yang , Jiang Lei , Ni Hong , Wang Qiyi , Zhao Shidi , Qian Hao , Ge Rongjing 
Published: September 2020

ABSTRACTAlthough numerous epilepsy-related genes have been identified by unbiased genome-wide screening based on samples from both animal models and patients, the druggable targets for temporal lobe epilepsy (TLE) are still limited. Meanwhile, a large number of candidate genes that might promote or inhibit seizure activities are waiting for further validation. In this study, we first analyzed two public databases and determined the significant down-regulations of two M-type potassium channel genes (KCNQ2/3) expressions in hippocampus samples from TLE patients. Then we reproduced the similar pathological changes in the pilocarpine mouse model of TLE and further detected the decrease of spike frequency adaptation driven by impacted M-currents on dentate gyrus granule neurons. Finally, we employed a small-scale simulation of dentate gyrus network to investigate potential functional consequences of disrupted neuronal excitability. We demonstrated that the impacted spike frequency adaptation of granule cells facilitated the epileptiform activity among the entire network, including prolonged seizure duration and reduced interictal intervals. Our results identify a new mechanism contributing to ictogenesis in TLE and suggest a novel target for the anti-epileptic drug discovery.
Explaining distortions in metacognition with an attractor network model of decision uncertainty
Authors: Atiya Nadim A. A. , Huys Quentin J. M. , Dolan Raymond J. , Fleming Stephen M. 
Published: September 2020

AbstractMetacognition is the ability to reflect on, and evaluate, our cognition and behaviour. Distortions in metacognition are common in mental health disorders, though the neural underpinnings of such dysfunction are unknown. One reason for this is that models of key components of metacognition, such as decision confidence, are generally specified at an algorithmic or process level. While such models can be used to relate brain function to psychopathology, they are difficult to map to a neurobiological mechanism. Here, we develop a biologically-plausible model of decision uncertainty in an attempt to bridge this gap. We first relate the model’s uncertainty in perceptual decisions to standard metrics of metacognition, namely mean confidence level (bias) and the accuracy of metacognitive judgments (sensitivity). We show that dissociable shifts in metacognition are associated with isolated disturbances at higher-order levels of a circuit associated with self-monitoring, akin to neuropsychological findings that highlight the detrimental effect of prefrontal brain lesions on metacognitive performance. Notably, we are able to account for empirical confidence judgements by fitting the parameters of our biophysical model to first-order performance data, specifically choice and response times. Lastly, in a reanalysis of existing data we show that self-reported mental health symptoms relate to disturbances in an uncertainty-monitoring component of the network. By bridging a gap between a biologically-plausible model of confidence formation and observed disturbances of metacognition in mental health disorders we provide a first step towards mapping theoretical constructs of metacognition onto dynamical models of decision uncertainty. In doing so, we provide a computational framework for modelling metacognitive performance in settings where access to explicit confidence reports is not possible.Author SummaryIn this work, we use a biologically-plausible model of decision uncertainty to show that shifts in metacognition are associated with disturbances in the interaction between decision-making and higher-order uncertainty-monitoring networks. Specifically, we show that stronger uncertainty modulation is associated with decreased metacognitive bias, sensitivity, and efficiency, with no effect on perceptual sensitivity. Our approach not only enables inferences about uncertainty modulation (and, in turn, these facets of metacognition) from fits to first-order performance data alone – but also provides a first step towards relating dynamical models of decision-making to metacognition. We also relate our model’s uncertainty modulation to psychopathology, and show that it can offer an implicit, low-dimensional marker of metacognitive (dys)function – opening the door to richer analysis of the interaction between metacognitive performance and psychopathology from first-order performance data.
Does estimation methods affect on phosphorus equivalence value of phytase for layers and broiler chickens?
Authors: Yousefi Azam , Zaghari Mojtaba 
Published: September 2020

SUMMARYTwo experiments were performed for evaluating calibration curve (CC) and comparing negative and positive controls (CNP) as a major method for estimating of phytase phosphorus equivalence for layer and broiler chickens. In the first and second experiments, 360 Hy-line W-36 layer hens and 525 day-old Ross-308 broiler chickens were used in a complete randomized design, respectively. Evaluated methods were setting the two regression equations for NPP-supplemented and phytase supplemented treatments with two sub-methods, include calibration curve (CC) or exclude the amount of phosphorus content of basal diet (CC-BD) in calculation, and exploring enzyme equivalency by comparing phosphorus deficient diet as an negative and supplemented diet by inorganic phosphorus sources as a positive control group (CNP). Experiment one included nine treatments (200, 300, 400 and 500 FTU/kg phytase was added to a phosphorus deficient basal diet contained 0.12% AvP, the rest four treatments were included basal diet supplemented with 0.20, 0.27, 0.35 and 0.43% AvP). Experiment two included seven treatments (a basal P deficient diet contained 0.27% AvP, and two increasing levels of AvP, 0.32 and 0.37%, and four doses of phytase 200, 300, 400 and 500 FTU/kg added to basal diet). Each treatment in the both experiments replicated five times. Results indicated that methods of estimation had a significant effect on phosphorus equivalence estimation (P<0.0001). Fitted regression equations considering P content of basal diet (CC-BD) estimated rational values than those ignore it (CC) (0.161%vs0.365% and 0.432%vs0.564% for 500 FTU/kg phytase for broiler chicken and layer hens, respectively) (P<0.0001). On average, among three methods used, CC method had the highest estimated values both in broiler chickens and layer hens (p<0.0001). Regardless of mathematical method, there were different significant values for different strains (layer, 0.381% and broiler, 0.179%) (P<0.0001), but not for different traits served as response criteria (P>0.05). In conclusion, the phosphorus equivalent value of enzyme varies according to the estimation methods and strain. Hence, using matrix values of enzyme for accurate feed formulation depend on a variety of circumstances and decision making requires comprehensive information.