Miracle-dz/UniFAR-FTUs huggingface dataset:
Mothers' and fathers' self-regulation capacity, dysfunctional attributions and hostile parenting during early adolescence: A process-oriented approach

Abstract The parent-child relationship undergoes substantial reorganization over the transition to adolescence. Navigating this change is a challenge for parents because teens desire more behavioral autonomy as well as input in decision-making processes. Although it has been demonstrated that changes in parental socialization approaches facilitates adolescent adjustment, very little work has been devoted to understanding the underlying mechanisms supporting parents’ abilities to adjust caregiving during this period. Guided by self-regulation models of parenting, the present study examined how parental physiological and cognitive regulatory capacities were associated with hostile and insensitive parent conflict behavior over time. From a process-oriented perspective, we tested the explanatory role of parents’ dysfunctional child-oriented attributions in this association. A sample of 193 fathers, mothers, and their early adolescent (ages 12–14) participated in laboratory-based research assessments spaced approximately 1 year apart. Parental physiological regulation was measured using square root of the mean of successive differences during a conflict task; cognitive regulation was indicated by set-shifting capacity. Results showed that parental difficulties in vagal regulation during parent-adolescent conflict were associated with increased hostile conflict behavior over time; however, greater set-shifting capacity moderated this association for fathers only. In turn, father's dysfunctional attributions regarding adolescent behavior mediated the moderating effect. The results highlight how models of self-regulation and social cognition may explain the determinants of hostile parenting with differential implications for fathers during adolescence.
Comorbid anxiety and depression: a community-based study examining symptomology and correlates during the postpartum period

ABSTRACT Background: Despite indications that anxiety and depression co-occur frequently within the postpartum period, studies identifying the correlates associated with this comorbidity are rare. Objective: This study assessed variation in social and maternal circumstances, based on comorbid anxiety and depression symptomology. Methods: A large community-based sample of 1070 Australian postpartum women completed the Living with a Young Baby online survey. Mothers were categorised into groups: (a) comorbid anxiety and depression symptomology, (b) anxiety only, (c) depression only, or (d) neither depression nor anxiety. Multinomial Logistic Regression (MLR) investigated variation in correlates between the groups. Results: Comorbid anxiety and depression symptomology was common (13.4%), and was associated with greater symptom severity. Women in the ‘comorbid’ group more often experienced financial hardship, cessation of breastfeeding, infants with difficult temperaments, inadequate social support or help, and stressful adverse life events in comparison to mothers in the ‘neither symptomology’ group. They were also more likely to have infants with difficult temperaments compared to the depression only group, and to receive inadequate help and support compared to the anxiety only group. Conclusions: Comorbid anxiety and depression symptomology is common postpartum and is associated with considerable adversity across a wide range of demographic, economic and social correlates. Abbreviations: EPDS: Edinburgh Postnatal Depression Scale; STAI: State-Trait Anxiety Inventory; MLR: Multiple Logistic Regression; LYBS: Living with a Young Baby Survey; LSAC: Longitudinal Study of Australian Children; STSI: Short Temperament Scale for Infants; ANOVA: Analysis of Variance; M: Mean; SD: Standard Deviation; CI: Confidence Interval; OR: Odds Ratio
NMD-12: A new machine-learning derived screening instrument to detect mild cognitive impairment and dementia

Introduction Using machine learning techniques, we developed a brief questionnaire to aid neurologists and neuropsychologists in the screening of mild cognitive impairment (MCI) and dementia. Methods With the reduction of the survey size as a goal of this research, feature selection based on information gain was performed to rank the contribution of the 45 items corresponding to patient responses to the specified questions. The most important items were used to build the optimal screening model based on the accuracy, practicality, and interpretability. The diagnostic accuracy for discriminating normal cognition (NC), MCI, very mild dementia (VMD) and dementia was validated in the test group. Results The screening model (NMD-12) was constructed with the 12 items that were ranked the highest in feature selection. The receiver-operator characteristic (ROC) analysis showed that the area under the curve (AUC) in the test group was 0.94 for discriminating NC vs. MCI, 0.88 for MCI vs. VMD, 0.97 for MCI vs. dementia, and 0.96 for VMD vs. dementia, respectively. Discussion The NMD-12 model has been developed and validated in this study. It provides healthcare professionals with a simple and practical screening tool which accurately differentiates NC, MCI, VMD, and dementia.
Risk factors for development of obesity in an ethnically diverse CHD population

Abstract Objectives Previous cross-sectional studies have demonstrated obesity rates in children with CHD and the general paediatric population. We reviewed longitudinal data to identify factors predisposing to the development of obesity in children, hypothesising that age may be an important risk factor for body mass index growth. Study design Retrospective electronic health records were reviewed in all 5–20-year-old CHD patients seen between 2011 and 2015, and in age-, sex-, and race/ethnicity-matched controls. Subjects were stratified into aged cohorts of 5–10, 11–15, and 15–20. Annualised change in body mass index percentile (BMI%) over this period was compared using paired Student’s t-test. Linear regression analysis was performed with the CHD population. Results A total of 223 CHD and 223 matched controls met the inclusion criteria for analysis. Prevalence of combined overweight/obesity did not differ significantly between the CHD cohort (24.6–25.8%) and matched controls (23.3–29.1%). Univariate analysis demonstrated a significant difference of BMI% change in the age cohort of 5–10 (CHD +4.1%/year, control +1.7%/year, p=0.04), in male sex (CHD +1.8%/year, control −0.3%/year, p=0.01), and status-post surgery (CHD 2.03%/year versus control 0.37%, p=0.02). Linear regression analysis within the CHD subgroup demonstrated that age 5–10 years (+4.80%/year, p<0.001) and status-post surgery (+3.11%/year, p=0.013) were associated with increased BMI% growth. Conclusions Prevalence rates of overweight/obesity did not differ between children with CHD and general paediatric population over a 5-year period. Longitudinal data suggest that CHD patients in the age cohort 5–10 and status-post surgery may be at increased risk of BMI% growth relative to peers with structurally normal hearts.
Brain tumor detection and classification: A framework of marker‐based watershed algorithm and multilevel priority features selection

Brain tumor identification using magnetic resonance images (MRI) is an important research domain in the field of medical imaging. Use of computerized techniques helps the doctors for the diagnosis and treatment against brain cancer. In this article, an automated system is developed for tumor extraction and classification from MRI. It is based on marker‐based watershed segmentation and features selection. Five primary steps are involved in the proposed system including tumor contrast, tumor extraction, multimodel features extraction, features selection, and classification. A gamma contrast stretching approach is implemented to improve the contrast of a tumor. Then, segmentation is done using marker‐based watershed algorithm. Shape, texture, and point features are extracted in the next step and high ranked 70% features are only selected through chi‐square max conditional priority features approach. In the later step, selected features are fused using a serial‐based concatenation method before classifying using support vector machine. All the experiments are performed on three data sets including Harvard, BRATS 2013, and privately collected MR images data set. Simulation results clearly reveal that the proposed system outperforms existing methods with greater precision and accuracy.
Racial discrimination, John Henryism coping, and behavioral health conditions among predominantly poor, urban African Americans: Implications for community-level opioid problems and mental health services.

The current study examined the relationship between John Henryism Active Coping (JHAC), experiences of racial discrimination, and behavioral health outcomes in a community sample of 319 Black adults. Assessments included primary health care screenings as well as self-reported survey questions to assess JHAC, experiences of discrimination, and self-reported behavioral health. Logistic regression models, adjusted for control variables, found a significant relationship between JHAC and having an opioid problem (odds ratio [OR] = 0.95, p = 0.003) and needing mental health services (OR = 0.95, p < 0.001), such that higher levels of coping were associated with lower odds of reporting an opioid problem and needing mental health services. Notably, racial discrimination was not significantly independently associated with behavioral health. Implications for interventions and community programming are discussed.
PACLOBUTRAZOL-RESISTANCE Gene Family Regulates Floral Organ Growth with Unequal Genetic Redundancy in Arabidopsis thaliana

A PACLOBUTRAZOL-RESISTANCE (PRE) gene family, consisting of six genes in Arabidopsis thaliana, encodes a group of helix-loop-helix proteins that act in the growth-promoting transcriptional network. To delineate the specific role of each of the PRE genes in organ growth, we took a reverse genetic approach by constructing high order pre loss-of-function mutants of Arabidopsis thaliana. In addition to dwarf vegetative growth, some double or high order pre mutants exhibited defective floral development, resulting in reduced fertility. While pre2pre5 is normally fertile, both pre2pre6 and pre5pre6 showed reduced fertility. Further, the reduced fertility was exacerbated in the pre2pre5pre6 mutant, indicative of the redundant and critical roles of these PREs. Self-pollination assay and scanning electron microscopy analysis showed that the sterility of pre2pre5pre6 was mainly ascribed to the reduced cell elongation of anther filament, limiting access of pollens to stigma. We found that the expression of a subset of flower-development related genes including ARGOS, IAA19, ACS8, and MYB24 was downregulated in the pre2pre5pre6 flowers. Given these results, we propose that PREs, with unequal functional redundancy, take part in the coordinated growth of floral organs, contributing to successful autogamous reproduction in Arabidopsis thaliana.
Advances in Therapeutic Implications of Inorganic Drug Delivery Nano-Platforms for Cancer

Numerous nanoparticles drug delivery systems for therapeutic implications in cancer treatment are in preclinical development as conventional chemotherapy has several drawbacks. A chemotherapeutic approach requires high doses of chemotherapeutic agents with low bioavailability, non-specific targeting, and above all, development of multiple drug resistance. In recent years, inorganic nano-drug delivery platforms (NDDPs; with a metal core) have emerged as potential chemotherapeutic systems in oncology. One of the major goals of developing inorganic NDDPs is to effectively address the targeted anti-cancer drug(s) delivery related problems by carrying the therapeutic agents to desired tumors sites. In this current review, we delve into summarizing the recent developments in targeted release of anti-cancer drugs loaded in inorganic NDDPs such as mesoporous silica nanoparticles, carbon nanotubes, layered double hydroxides, superparamagnetic iron oxide nanoparticles and calcium phosphate nanoparticles together with highlighting their therapeutic performance at tumor sites.
The Extended C-Terminal Region of Influenza C Virus Nucleoprotein Is Important for Nuclear Import and Ribonucleoprotein Activity

As a member of the Orthomyxoviridae family, the polymerase complex of the influenza C virus structurally resembles its influenza A and influenza B virus counterparts, but the nucleoprotein differs by possessing an extra C-terminal region. We have characterized this region in view of nuclear import and interaction with the importin α protein family. Our results demonstrate the functional significance of a previously uncharacterized region on Orthomyxoviridae nucleoprotein (NP). Based on this work, we propose that importin α binding to influenza C virus NP is regulated by a long bipartite nuclear localization signal. Since the sequence of influenza D virus NP shares high homology to that of the influenza C virus, this work will also shed light on how influenza D virus NP functions. ABSTRACT The influenza C virus (ICV) is a human-pathogenic agent, and the infections are frequently identified in children. Compared to influenza A and B viruses, the nucleoprotein of ICV (NPC) has an extended C-terminal region of which the functional significance is ill defined. We observed that the nuclear localization signals (NLSs) found on the nucleoproteins of influenza A and B virus subtypes are absent at corresponding positions on ICV. Instead, we found that a long bipartite nuclear localization signal resides at the extended C-terminal region, spanning from R513 to K549. Our experimental data determined that the KKMK motif within this region plays important roles in both nuclear import and polymerase activity. Similar to the influenza A viruses, NPC also binds to multiple human importin α isoforms. Taken together, our results enhance the understanding of the virus-host interaction of the influenza C virus. IMPORTANCE As a member of the Orthomyxoviridae family, the polymerase complex of the influenza C virus structurally resembles its influenza A and influenza B virus counterparts, but the nucleoprotein differs by possessing an extra C-terminal region. We have characterized this region in view of nuclear import and interaction with the importin α protein family. Our results demonstrate the functional significance of a previously uncharacterized region on Orthomyxoviridae nucleoprotein (NP). Based on this work, we propose that importin α binding to influenza C virus NP is regulated by a long bipartite nuclear localization signal. Since the sequence of influenza D virus NP shares high homology to that of the influenza C virus, this work will also shed light on how influenza D virus NP functions.
Single-Shot Waterless Low-Profile Photoacoustic System: Near-Field Volumetric Imaging In Vivo for Blood Vessels Based on Capacitive Micromachined Ultrasonic Transducer (CMUT)

Intensive research on photoacoustics (PA) for imaging of the living human body, including the skin, vessels, and tumors, has recently been conducted. We propose a PA measurement system based on a capacitive micromachined ultrasonic transducer (CMUT) with waterless coupling, short measurement time (<1 s), backward light irradiation, and a low-profile ultrasonic receiver unit (<1 cm). We fabricate a 64-element CMUT ring array with 6.2 mm diameter and 10.4 MHz center frequency in air, and 100% yield and uniform element response. To validate the PA tissue characterization, we employ pencil lead and red ink as solid and liquid models, respectively, and a living body to target moles and vessels. The system implements a near-field imaging system consisting of a 6 mm polydimethylsiloxane (PDMS) matching layer between the object and CMUT, which has a 3.7 MHz center frequency in PDMS. Experiments were performed in a waterless contact on the PDMS and the laser was irradiated with a 1 cm diameter. The experimental results show the feasibility of this near-field PA imaging system for position and depth detection of skin, mole, vessel cells, etc. Therefore, a system applicable to a low-profile compact biomedical device is presented.
Long-Term Monitoring with Fiber Optics Distributed Temperature Sensing at Campi Flegrei: The Campi Flegrei Deep Drilling Project

Monitoring volcanic phenomena is a key question, for both volcanological research and for civil protection purposes. This is particularly true in densely populated volcanic areas, like the Campi Flegrei caldera, which includes part of the large city of Naples (Italy). Borehole monitoring of volcanoes is the most promising way to improve classical methods of surface monitoring, although not commonly applied yet. Fiber optics technology is the most practical and suitable way to operate in such high temperature and aggressive environmental conditions. In this paper, we describe a fiber optics Distributed Temperature Sensing (DTS) sensor, which has been designed to continuously measure temperature all along a 500 m. deep well drilled in the west side of Naples (Bagnoli area), lying in the Campi Flegrei volcanic area. It has then been installed as part of the international ‘Campi Flegrei Deep Drilling Project’, and is continuously operating, giving insight on the time variation of temperature along the whole borehole depth. Such continuous monitoring of temperature can in turn indicate volcanic processes linked to magma dynamics and/or to changes in the hydrothermal system. The developed monitoring system, working at bottom temperatures higher than 100 °C, demonstrates the feasibility and effectiveness of using DTS for borehole volcanic monitoring.
Biological Activities of Extracts from Different Parts of Cryptomeria japonica

Cryptomeria japonica is one of the most important forest tree species in Japan. To increase the demand for domestic timber, broad uses related to the functional attributes of C. japonica must be developed. Several studies have examined the usefulness of C. japonica in terms of its biological activities, but a comprehensive study subjecting all parts of the C. japonica plant to the same solvent for extraction has not been done. Here, methanol extractions from the leaves, branches, bearing branches, male flowers, female flowers, cones, bark, heartwood, sapwood, pith, rhizomes, roots, and pollen were subjected to several in vitro assays of their biological activities such as antioxidant activity, anti-lipase activity, antibacterial activity and melanin-biosynthesis-inhibition activity. Their total phenolic content was also determined. The methanol extracts from each part of C. japonica except for pollen showed strong activities in the bioactivity assays. Furthermore, the methanol extracts were analyzed by GC/MS. The phytochemical profile varied among extracts from various parts of C. japonica. Our results suggest the great potential of C. japonica for use as a functional ingredient in health-related products.
Lung Cancer App (LuCApp) study protocol: a randomised controlled trial to evaluate a mobile supportive care app for patients with metastatic lung cancer

Introduction Mobile health technologies may enhance patient empowerment and data integration along the whole care continuum. However, these interventions pose relatively new regulatory, organisational and technological challenges that limit appropriate evaluation. Lung Cancer App (LuCApp) is a mobile application developed by researchers and clinicians to promote real-time monitoring and management of patients’ symptoms. This protocol illustrates a clinical trial designed to evaluate the usability, effectiveness and cost-effectiveness of LuCApp versus standard of care. Methods and analysis This is a 24-week two-arm non-blinded multicentre parallel randomised controlled trial. A total of 120 adult patients diagnosed with small or non-small cell lung cancer and eligible for pharmaceutical treatments will be allocated 1:1 to receiving either standard care or LuCApp in addition to standard care at three oncology sites in Northern Italy. During the treatment period, LuCApp allows daily monitoring and grading of a list of symptoms, which trigger alerts to the physicians in case predefined severity thresholds are met. Patients will complete a baseline assessment and a set of valid and reliable patient-reported outcome measures every 3±1 weeks, and up to 24 weeks. The primary outcome is the change in the score of the Trial Outcome Index in the Functional Assessment of Cancer Therapy (Lung) questionnaire from baseline to 12 weeks. Secondary outcomes are the Lung Cancer Subscale, the EuroQoL 5D-5L questionnaire, the Hospital Anxiety and Depression Scale, the Supportive Care Needs Survey Short Form, the app usability questionnaire and the Zarit Burden Interview for the main caregiver. Ethics and dissemination The trial received ethical approval from the three clinical sites. Trial results will be disseminated through peer-reviewed publications and conference presentations. Conclusions This trial makes a timely contribution to test a mobile application designed to improve the quality of life and delivery of care for patients with lung cancer. Trial registration number NCT03512015; Pre-results.
Assessment of endobronchial ultrasound-guided transbronchial needle aspiration performance.

1. Toonkel RL, Hare JM, Matthay MA, Glassberg MK. Mesenchymal stem cells and idiopathic pulmonary fibrosis: potential for clinical testing. Am J Respir Crit Care Med 2013;133–140. 2. Raghu G, Anstrom KJ, King TE Jr, Lasky JA, Martinez FJ. Prednisone, azathioprine, and N-acetylcysteine for pulmonary fibrosis. N Engl J Med 2012;366:1968–1977. 3. Ortiz LA, Gambelli F, McBride C, Gaupp D, Baddoo M, Kaminski N, Phinney DG. Mesenchymal stem cell engraftment in lung is enhanced in response to bleomycin exposure and ameliorates its fibrotic effects. Proc Natl Acad Sci USA 2003;100:8407–8411. 4. Hare JM, Fishman JE, Gerstenblith G, Difede Velazquez DL, Zambrano JP, Suncion VY, Tracy M, Ghersin E, Johnston PV, Brinker JA, et al. Comparison of allogeneic vs autologous bone marrow-derived mesenchymal stem cells delivered by transendocardial injection in patients with ischemic cardiomyopathy: The POSEIDON Randomized Trial. JAMA 2012;308:2369–2379. 5. Quevedo HC, Hatzistergos KE, Oskouei BN, Feigenbaum GS, Rodriguez JE, Valdes D, Pattany PM, Zambrano JP, Hu Q, McNiece I, et al. Allogeneic mesenchymal stem cells restore cardiac function in chronic ischemic cardiomyopathy via trilineage differentiating capacity. Proc Natl Acad Sci USA 2009;106:14022–14027. 6. Tzouvelekis A, Laurent G, Bouros D. Stem cell therapy in chronic obstructive pulmonary disease. seeking the Prometheus effect. Curr Drug Targets 2013;14:246–252. 7. Hare JM, Traverse JH, Henry TD, Dib N, Strumpf RK, Schulman SP, Gerstenblith G, DeMaria AN, Denktas AE, Gammon RS, et al. A randomized, double-blind, placebo-controlled, dose-escalation study of intravenous adult human mesenchymal stem cells (prochymal) after acute myocardial infarction. J Am Coll Cardiol 2009;54:2277– 2286. 8. Gao J, Dennis JE, Muzic RF, Lundberg M, Caplan AI. The dynamic in vivo distribution of bone marrow-derived mesenchymal stem cells after infusion. Cells Tissues Organs 2001;169:12–20. 9. Tzouvelekis A, Koliakos G, Ntolios P, Baira I, Bouros E, Oikonomou A, Zissimopoulos A, Kolios G, Kakagia D, Paspaliaris V, et al. Stem cell therapy for idiopathic pulmonary fibrosis: a protocol proposal. J Transl Med 2011;9:182. 10. Tzouvelekis A, Paspaliaris V, Koliakos G, Ntolios P, Oikonomou A, Froudarakis M, Bouros D. A prospective, non randomized, clinical trial to study the safety and efficacy of the endobronchial autologous infusion of adipose-derived mesenchymal stem cells (ADMSCs) in patients with idiopathic pulmonary fibrosis (IPF). Eur Respir J 2011; 176:3s.