bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integrating in silico molecular docking, ADMET analysis of C.verticillata with diabetic markers and in vitro anti-inflammatory activity
Authors: A. Maheswari , DE Salamun 
Published: January 2024

Abstract
Background
Over the past decade, various research studies have proved the interconnection between the inflammatory pathways and diabetes complication in clinical condition. The present study evaluated the anti-inflammatory and antioxidant activity. Further, the sample was tested for its pharmacokinetics properties and the best compounds were docked with the diabetic markers (DPP IV (PDB-ID: IJ2E) and SGLT2 (PDB-ID: 7VSI)).

Results
C.verticillata showed a good hydrogen peroxide (78.3 ± 0.34%, IC50 = 287.81 µg/ml) and superoxide scavenging activity (52.7 ± 1.26%, IC50 = 796.15 µg/ml). In addition, the sample was checked for its anti-inflammatory activity with protein denaturation (57.4 ± 0.19%, IC50 = 471.5 µg/ml) and proteinase inhibition assay (68.3 ± 0.48%, IC50 = 213.42 µg/ml). Further, the bioactive compounds detected from HPLC-ESI-MS/MS analyzed sample were checked for its drug likeliness by checking its ADME properties and toxicological parameters. It has been observed that except Loliolide, all the other compounds have followed the physicochemical parameters and proved to exhibit drug likeliness characteristics. The bioactive compounds that follow the Lipinski’s rule were taken further for in silico molecular docking analysis with the diabetic protein markers (DPP IV and SGLT2). Docking results revealed that Pyro pheophorbide a with DPP IV and Dihydromonacolin L acid with SGLT2 have recorded a maximum docking score of (− 9.4 kcal/mol) and (− 9.2 kcal/mol), respectively.

Conclusion
The observed results suggest that the identified and selected bioactive compounds from C.verticillata can be considered as a potential target molecule for the management of oxidative stress induced diabetic condition. Furthermore, the study also provides an insight on the effectiveness of the compounds on reducing the inflammation as well.
Synthesized complex-frequency excitation for ultrasensitive molecular sensing
Authors: Zeng Kebo , Wu Chenchen , Guo Xiangdong , Guan Fuxin , Duan Yu , Zhang Lauren L. , Yang Xiaoxia , Liu Na , Dai Qing , Zhang Shuang 
Published: January 2024

AbstractSensors have emerged as indispensable analytical tools across a wide range of important fields, encompassing environmental monitoring, food safety, and public health. They facilitate early disease diagnosis, personalized medicine, and rapid detection of toxic agents. However, detecting trace molecules remains a significant challenge. Surface-enhanced infrared absorption (SEIRA) based on plasmonic nanostructures, particularly graphene, has emerged as a promising approach to enhance sensing sensitivity. While graphene-based SEIRA offers advantages such as high sensitivity and active tunability, intrinsic molecular damping weakens the interaction between vibrational modes and plasmons. Here, we demonstrate ultrahigh-sensitive molecular sensing based on synthesized complex-frequency waves (CFW). Our experiment shows that CFW can amplify the molecular signals (silk protein monolayer) detected by graphene-based sensor by at least an order of magnitude and can be universally applied to molecular sensing in different phases. Our approach is highly scalable and can facilitate the investigation of light-matter interactions, enabling diverse potential applications in fields such as optical spectroscopy, biomedicine and pharmaceutics.
Supervised machine learning-based salp swarm algorithm for fault diagnosis of photovoltaic systems
Authors: Hichri Amal , Hajji Mansour , Mansouri Majdi , Nounou Hazem , Bouzrara Kais 
Published: January 2024

AbstractThe diagnosis of faults in grid-connected photovoltaic (GCPV) systems is a challenging task due to their complex nature and the high similarity between faults. To address this issue, we propose a wrapper approach called the salp swarm algorithm (SSA) for feature selection. The main objective of SSA is to extract only the most important features from the raw data and eliminate unnecessary ones to improve the classification accuracy of supervised machine learning (SML) classifiers. Subsequently, the selected features are used to train supervised machine learning (SML) techniques in distinguishing between various operating modes. To evaluate the efficiency of the technique, we used healthy and faulty data from GCPV systems that have been injected with frequent faults, 20 different types of faults were introduced, including line-to-line, line-to-ground, connectivity faults, and those affecting the operation of bay-pass diodes. These faults present diverse conditions, such as simple and multiple faults in the PV arrays and mixed faults in both arrays. The performances of the developed SSA-SML are compared with those using principal component analysis (PCA) and kernel PCA (KPCA) based SML techniques through different criteria (i.e., accuracy, recall, precision, F1 score, and computation time). The experimental findings demonstrated that the proposed diagnosis paradigm outperformed the other techniques and achieved a high diagnostic accuracy (an average accuracy greater than 99%) while significantly reducing computation time.
Regularity of bedtime, wake-up time, and time in bed in mid-life: associations with cardiometabolic health markers with adjustment for physical activity and sedentary time
Authors: Nauha Laura , Farrahi Vahid , Jurvelin Heidi , Jämsä Timo , Niemelä Maisa , Ala-Mursula Leena , Kangas Maarit , Korpelainen Raija 
Published: January 2024

Abstract
Background
Insufficient sleep has been linked to the accumulation of cardiometabolic risks while physical activity acts as a protective factor. Also, sleep regularity may play a critical role in maintaining optimal cardiometabolic health. This cross-sectional study examined the association between device-based sleep regularity, waking activity behaviors, and cardiometabolic health markers, including blood pressure level; abdominal adiposity level; and blood glucose, insulin, and cholesterol.

Methods
We included 3698 members of the Northern Finland Birth cohort 1966 who participated in the follow-up study at the age of 46 years between 2012 and 2014 (women 61%). We used seven-day standard deviations of device-based bedtime, wake-up time, and time in bed to reflect sleep regularities. As covariates in linear regression models, we used commonly known potential risk factors in (gender, education, marital status, work schedule, smoking status, alcohol risk use, seven-day time in bed mean, chronotype). In addition to the previous, we used either sedentary time or total physical activity as a covariate (B coefficients with 95% confidence intervals CI).

Results
When we considered sedentary time with other covariates, irregularities in bedtime, wake-up time, and time in bed were associated with unfavorable cardiometabolic health markers, such as higher body mass index (bedtime regularity: 0.194, 95% CI [0.072, 0.316], p = 0.002); higher diastolic blood pressure levels (time in bed regularity: 0.175, 95% CI [0.044, 0.306], p = 0.009); and higher 2-h glucose levels (wake-up time regularity: 0.107, 95% CI [0.030, 0.184], p = 0.006). When we considered total physical activity with other covariates, only irregular bedtime was associated with higher waist circumference (B 0.199, 95% CI [0.042, 0.356], p = 0.013). Irregularities in bedtime and wake-up time were not associated with higher diastolic blood pressure, higher visceral fat area or higher fasting insulin level after considering sedentary time or total physical activity with other covariates (in all, p > 0.05).

Conclusions
In middle-aged, physical activity appears to weaken the adverse relationship between irregular sleep and cardiometabolic health markers, although the interpretation of the impact of sedentary time remains less conclusive. The clinical significance and extent of the observed associations warrant further investigation.
Functional neuroimaging biomarkers of anhedonia response to escitalopram plus adjunct aripiprazole treatment for major depressive disorder
Authors: Vaccarino Sophie R. , Wang Shijing , Rizvi Sakina J. , Lou Wendy , Hassel Stefanie , MacQueen Glenda M. , Ho Keith , Frey Benicio N. , Lam Raymond W. , Milev Roumen V. , Rotzinger Susan , Ravindran Arun V. , Strother Stephen C. , Kennedy Sidney H. 
Published: January 2024

Background
Identifying neuroimaging biomarkers of antidepressant response may help guide treatment decisions and advance precision medicine.

Aims
To examine the relationship between anhedonia and functional neurocircuitry in key reward processing brain regions in people with major depressive disorder receiving aripiprazole adjunct therapy with escitalopram.

Method
Data were collected as part of the CAN-BIND-1 study. Participants experiencing a current major depressive episode received escitalopram for 8 weeks; escitalopram non-responders received adjunct aripiprazole for an additional 8 weeks. Functional magnetic resonance imaging (on weeks 0 and 8) and clinical assessment of anhedonia (on weeks 0, 8 and 16) were completed. Seed-based correlational analysis was employed to examine the relationship between baseline resting-state functional connectivity (rsFC), using the nucleus accumbens (NAc) and anterior cingulate cortex (ACC) as key regions of interest, and change in anhedonia severity after adjunct aripiprazole.

Results
Anhedonia severity significantly improved after treatment with adjunct aripiprazole.
There was a positive correlation between anhedonia improvement and rsFC between the ACC and posterior cingulate cortex, ACC and posterior praecuneus, and NAc and posterior praecuneus. There was a negative correlation between anhedonia improvement and rsFC between the ACC and anterior praecuneus and NAc and anterior praecuneus.

Conclusions
Eight weeks of aripiprazole, adjunct to escitalopram, was associated with improved anhedonia symptoms. Changes in functional connectivity between key reward regions were associated with anhedonia improvement, suggesting aripiprazole may be an effective treatment for individuals experiencing reward-related deficits. Future studies are required to replicate our findings and explore their generalisability, using other agents with partial dopamine (D2) agonism and/or serotonin (5-HT2A) antagonism.
Severe Hyperglycemia Due to Protein Kinase Inhibitor Therapy in a Patient With Poorly Controlled Diabetes Mellitus
Authors: Sontag Isabel , Bergmann Laura , Adamek Henning Ernst 
Published: January 2024

Abstract
The efficacy and safety of zanubrutinib, a highly selective next-generation Bruton's tyrosine kinase (BTK) inhibitor, in chronic lymphocytic leukemia and lymphoplasmocytoides immunocytoma seems favorable. Adverse events comprise neutropenia, thrombocytopenia, infection, anemia, and atrial fibrillation. This report describes a 75-year-old man suffering from polydipsia, polyuria, and blurred vision for 10 days. He was diagnosed with lymphoplasmocytoides immunocytoma in 2003. After various therapies, he was started on zanubrutinib in October 2022. A diagnosis of diabetes mellitus had never been established before. On arrival in the emergency department, his plasma glucose was 37.2 mmol/L (671 mg/dL) and glycated hemoglobin (HbA1c) was 14.2%. Circulating antibodies showed positivity for glutamic acid decarboxylase (GAD-65), and his C-peptide level was 1.3 nmol/L (normal range, 0.37-1.47 nmol/L), equivalent to 3.9 ng/mL (normal range 1.1-5.0 ng/mL). From the patient's medical history, it became obvious that the metabolic situation had been problematic for many years, and that diabetes could have been taken into account at least in the summer of 2020 when HbA1c was 6.7%. In patients on tyrosine kinase inhibitors, careful assessment of glycemic control (monitoring HbA1c and blood glucose levels periodically even for nondiabetic patients) is recommended to prevent a major diabetic emergency.
Massive 4-Gland Parathyroid Hyperplasia Initially Detected as a Parathyroid Adenoma
Authors: Nicolich-Henkin Sophie , Goldstein Michael B , Roellke Emma , Bilezikian John P , Rothberger Gary D 
Published: January 2024

Abstract
Abstract: Parathyroid adenoma (PA) and parathyroid hyperplasia (PH) are common causes of primary hyperparathyroidism (PHPT), for which the only definitive treatment is surgery. Abnormalities in the parathyroid glands can be identified with various imaging modalities including ultrasound (US), sestamibi scan (MIBI), 4-dimensional computed tomography (4D-CT), and positron emission tomography/computed tomography (PET/CT). While it is not uncommon for parathyroid pathology to be undetected on imaging, this is more typical of low-volume hyperplasia and smaller-sized adenomas. We present the case of a 65-year-old man with PHPT who initially had a solitary parathyroid mass detected by US, but who was ultimately discovered to have massive PH with hyperplastic glands not visualized on US or MIBI. This atypical presentation may help guide providers in decisions on ordering and interpreting various imaging modalities for patients with PHPT. In this case, 4D-CT was the only modality in which large hyperplastic glands were identified, suggesting superior sensitivity. This case also highlights the importance of intraoperative parathyroid hormone testing to aid in diagnostic prediction.
A Critical Review of Existing Evidence-Based Sport Psychological Interventions for College Athletes with Comorbid Attention Deficit-Hyperactivity Disorder and Sport-Related Concussions
Authors: Davis Reid , Rak Eniko , Rose Terra 
Published: January 2024

Abstract
The preventive efficacy of mental skills in reducing the risk of sport-related concussions (SRC), facilitating rehabilitation post-SRC, and enhancing mental performance was assessed in individuals with comorbid attention deficit-hyperactivity disorder (ADHD) and SRC. ADHD, characterized by behavioral disruptions linked to hyperactivity and impulsivity, poses an increased risk of severe injuries among student-athletes. Annually, over 10,000 mild Traumatic Brain Injuries (mTBI), including SRC, are diagnosed in National Collegiate Athletic Association (NCAA) student-athletes. Despite the high incidence, there remains a limited understanding of how sport psychological interventions can effectively prevent and rehabilitate SRC in student-athletes with ADHD. This article explores the intricate relationship between ADHD and SRC in NCAA-affiliated student-athletes, focusing on identifying optimal sport psychological interventions for injury prevention, treatment, and performance improvement. The analysis aims to inform the integration of this knowledge into comprehensive services for student-athletes, encompassing prevention, rehabilitation, and performance enhancement strategies.
Quality Selection in Two-Sided Markets: A Constrained Price Discrimination Approach
Authors: Light Bar , Johari Ramesh , Weintraub Gabriel 
Published: January 2024

Optimizing Revenue in Two-Sided Online Markets through Strategic Quality Selection and Information Disclosure Ensuring profitable operations in two-sided online marketplaces demands an astute analysis of seller quality and strategic information sharing with buyers. A recent paper, titled “Quality Selection in Two-Sided Markets: A Constrained Price Discrimination Approach” by B. Light, R. Johari, and G. Weintraub delves into the nuances of this operation. The authors explore the challenge that platforms encounter in deciding which sellers to allow and how much quality information to share with buyers in order to enhance platform revenue. Utilizing two distinct two-sided market models, the paper unveils conditions under which adopting straightforward information structures, such as excluding certain sellers or not differentiating among participating sellers, proves to be a revenue-maximizing strategy. This study utilizes a constrained price discrimination problem to reveal specific strategies platforms can use to adjust information structures in diverse market scenarios, providing insights for digital platforms aiming to navigate the marketplace more effectively.
Moral distress and intention to leave work among nurses: a prospective survey study in Oman
Authors: Al Qadire Mohammad , Ballad Cherry Ann C , Al Omari Omar , Alkhalaileh Murad , Al Sabei Sulaiman , Al Awaisi Huda , Khalaf Atika 
Published: January 2024

Background/AimsMoral distress can have a substantial impact on nurses, contributing to burnout and staff turnover. This study aimed to assess the level of moral distress, identify the situations considered to cause the most moral distress and measure the relationship between moral distress, demographic factors and intention to leave one's role or the nursing profession in a hospital in Oman.MethodsA descriptive correlational design was used. The study sample comprised 167 nurses working in intensive care, oncology, medical or surgical units in a referral hospital in Muscat, Oman. A survey was distributed to participants in their place of work. Data were collected using the Measure of Moral Distress – Healthcare Professionals tool, measuring frequency of morally distressing events and the level of distress caused. The survey also collected demographic details and information on whether participants were currently considering (or had ever considered) leaving their role because of moral distress. Results were summarised using descriptive statistics, with relationships between variables analysed using Mann–Whitney and Kruskal–Wallace tests, Spearman's rho and logistic regression.ResultsThe mean total moral distress score was 81.0 (±59.4) out of a possible score range of 0–432. The situations that participants found the most morally distressing were excessive documentation requirements that compromise patient care and feeling pressured to provide what they considered to be unnecessary or inappropriate tests and treatments. Area of work was not significantly associated with level of moral distress, but moral distress was significantly higher in participants with less nursing experience and those considering leaving their role.ConclusionsPractical solutions are required to support nurses who may be at high risk of experiencing moral distress. This could include mentoring schemes and strategies to reduce or streamline clinical documentation requirements.
Stigma and its impact on disclosure and mental health secrecy in young people with clinical depression symptoms: A qualitative analysis
Authors: Prizeman Katie , McCabe Ciara , Weinstein Netta 
Published: January 2024

BackgroundClinical depression ranks as a leading cause of disease and disability in young people worldwide, but it is widely stigmatized. The aim of this qualitative research was to gather young people’s experiences of depression stigma and its impact on loneliness, social isolation, and mental health disclosure and secrecy. This novel information can then be used to guide psychosocial interventions for young people with depression.MethodsThis qualitative study includedN= 28 young people aged 18–25 years (Mage= 21.30). Participants were recruited from the community who had high symptoms of depression (assessed through a pre-screen using the Mood and Feelings Questionnaire (MFQ) with a benchmark score > 27) or had been recently diagnosed with depression by a medical professional. Semi-structured interviews were based on conceptual model drawings created by participants and analyzed using thematic analysis.ResultsFour main themes emerged: 1)Depression secrecy:positive and negative aspects; 2)Depression disclosure:positive and negative aspects; 3)The solution is selective disclosure; and 4)Participants’ recommendations do not align with personal preferences. In particular, the young people described non-disclosure as a way to be in control, but that secrecy prevented authentic engagement with others. Young people also described disclosure as eliciting more stigma but as necessary to gain help. Finally, the young people described struggling with knowing how much to disclose in relation to their mental health and with whom they could disclose.ConclusionsThis study provides new evidence of how young people with depression experience stigma and its effects on disclosure and mental health secrecy. Knowing how young people struggle with these issues can allow us to develop interventions to encourage them to come forward and discuss their mental health in order to receive appropriate support and treatment. We recommend young people be signposted and have access to mental health champions or nominated teachers in their schools or universities.
Psychosocial and lifestyle impacts of spontaneous coronary artery dissection: A quantitative study
Authors: Murphy Barbara M. , Rogerson Michelle C. , Le Grande Michael R. , Hesselson Stephanie , Iismaa Siiri E. , Graham Robert M. , Jackson Alun C. 
Published: January 2024

Introduction
Recent studies suggest that acute myocardial infarction due to spontaneous coronary artery dissection (SCAD) carries significant psychosocial burden. This survey-based quantitative study builds on our earlier qualitative investigation of the psychosocial impacts of SCAD in Australian SCAD survivors. The study aimed to document the prevalence and predictors of a broad range of psychosocial and lifestyle impacts of SCAD.

Method
Australian SCAD survivors currently enrolled in the Victor Chang Cardiac Research Institute genetics study were invited to participate in an online survey to assess the psychosocial impacts of SCAD. Participants completed a questionnaire, developed using findings from our earlier qualitative research, which assessed 48 psychosocial and five lifestyle impacts of SCAD. Participants also provided demographic and medical data and completed validated measures of anxiety and depression.

Results
Of 433 SCAD survivors invited to participate, 310 (72%) completed the questionnaire. The most common psychosocial impacts were ‘shock about having a heart attack’ (experienced by 87% respondents), ‘worry about having another SCAD’ (81%), ‘concern about triggering another SCAD’ (77%), ‘uncertainty about exercise and physical activity’ (73%) and ‘confusion about safe levels of activity and exertion’ (73.0%) and ‘being overly aware of bodily sensations’ (73%). In terms of lifestyle impacts, the SCAD had impacted on work capacity for almost two thirds of participants, while one in ten had sought financial assistance. The key predictors of psychosocial impacts were being under 50, current financial strain, and trade-level education. The key predictors of lifestyle impacts were being over 50, SCAD recurrence, trade-level education, and current financial strain. All psychosocial impacts and some lifestyle impacts were associated with increased risk of anxiety and/or depression.

Conclusion and implications
This quantitative study extends our previous qualitative investigation by documenting the prevalence of each of 48 psychosocial and five lifestyle impacts identified in our earlier focus group research, and by providing risk factors for greater SCAD impacts. The findings suggest the need for supports to address initial experiences of shock, as well as fears and uncertainties regarding the future, including SCAD recurrence and exercise resumption. Support could be targeted to those with identified risk factors. Strategies to enable SCAD survivors to remain in or return to the paid workforce are also indicated.