Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical decision support methods for children and youths with mental health disorders in primary care

Abstract Background Mental health disorders among children and youths are common and often have negative consequences for children, youths, and families if unrecognized and untreated. With the goal of early recognition, primary care physicians (PCPs) play a significant role in the detection and referral of mental disorders. However, PCPs report several barriers related to confidence, knowledge, and interdisciplinary collaboration. Therefore, initiatives have been taken to assist PCPs in their clinical decision-making through clinical decision support methods (CDSMs). Objectives This review aimed to identify CDSMs in the literature and describe their functionalities and quality. Methods In this review, a search strategy was performed to access all available studies in PubMed, PsychINFO, Embase, Web of Science, and COCHRANE using keywords. Studies that involved CDSMs for PCP clinical decision-making regarding psychosocial or psychiatric problems among children and youths (0–24 years old) were included. The search was conducted according to PRISMA-Protocols. Results Of 1,294 studies identified, 25 were eligible for inclusion and varied in quality. Eighteen CDSMs were described. Fourteen studies described computer-based methods with decision support, focusing on self-help, probable diagnosis, and treatment suggestions. Nine studies described telecommunication methods, which offered support through interdisciplinary (video) calls. Two studies described CDSMs with a combination of components related to the two CDSM categories. Conclusion Easy-to-use CDSMs of good quality are valuable for advising PCPs on the detection and referral of children and youths with mental health disorders. However, valid multicentre research on a combination of computer-based methods and telecommunication is still needed.
Targeting mitochondrial DNA polymerase gamma for selective inhibition of MLH1 deficient colon cancer growth

Synthetic lethality in DNA repair pathways is an important strategy for the selective treatment of cancer cells without harming healthy cells and developing cancer-specific drugs. The synthetic lethal interaction between the mismatch repair (MMR) protein, MutL homolog 1 (MLH1), and the mitochondrial base excision repair protein, DNA polymerase γ (Pol γ) was used in this study for the selective treatment of MLH1 deficient cancers. Germline mutations in the MLH1 gene and aberrant MLH1 promoter methylation result in an increased risk of developing many cancers, including nonpolyposis colorectal and endometrial cancers. Because the inhibition of Pol γ in MLH1 deficient cancer cells provides the synthetic lethal selectivity, we conducted a comprehensive small molecule screening from various databases and chemical drug library molecules for novel Pol γ inhibitors that selectively kill MLH1 deficient cancer cells. We characterized these Pol γ inhibitor molecules in vitro and in vivo, and identified 3,3’-[(1,1’-Biphenyl)-4’,4’-diyl)bis(azo)]bis[4-amino-1-naphthalenesulfonic acid] (congo red; CR; Zinc 03830554) as a high-affinity binder to the Pol γ protein and potent inhibitor of the Pol γ strand displacement and one-nucleotide incorporation DNA synthesis activities in vitro and in vivo. CR reduced the cell proliferation of MLH1 deficient HCT116 human colon cancer cells and suppressed HCT116 xenograft tumor growth whereas it did not affect the MLH1 proficient cell proliferation and xenograft tumor growth. CR caused mitochondrial dysfunction and cell death by inhibiting Pol γ activity and oxidative mtDNA damage repair, increasing the production of reactive oxygen species and oxidative mtDNA damage in MLH1 deficient cells. This study suggests that the Pol γ inhibitor, CR may be further evaluated for the MLH1 deficient cancers’ therapy.
Tone and vowel disruptions in Mandarin aphasia and apraxia of speech

ABSTRACT In this study, we investigated the lexical tones and vowels produced by ten speakers diagnosed with aphasia and coexisting apraxia of speech (A-AOS) and ten healthy participants, to compare their tone and vowel disruptions. We first judged the productions of both A-AOS and healthy participants and classified them into three categories, i.e. those by healthy speakers and rated as correct, those by A-AOS participants and rated as correct, and those by A-AOS participants and rated as incorrect. We then compared the perceptual results for the three groups based on their respective acoustic correlates to reveal the relations among different accuracy groups. Results showed that the numbers of tone and vowel disruptions by A-AOS speakers occurred on a comparable scale. In perception, approximately equal numbers of tones and vowels produced by A-AOS participants were identified as correct; however, acoustic parameters showed that, unlike vowels, the patients’ tones categorised as correct by native Mandarin listeners differed considerably from those of the healthy speakers, suggesting that for Mandarin A-AOS patients, tones were in fact more disrupted than vowels in acoustic terms. Native Mandarin listeners seemed to be more tolerant of less well-targeted tones than less-well targeted vowels. The clinical implication is that tonal and segmental practice should be incorporated for Mandarin A-AOS patients to enhance their overall motor speech control.
Keeping track: An intra-UK comparison of orthodontic commissioning and treatment outcome assessments

Introduction: Across the United Kingdom (UK), National Health Service (NHS) orthodontic treatment is commissioned differently across the devolved nations. There is a relative paucity in the literature describing the way in which the orthodontic services in each country are commissioned and treatment outcomes measured. Objective: To highlight the differences in the following: commissioning of primary care orthodontic services across the UK; assessment of treatment outcomes; and the potential impacts these differences have on contractors, performers and patient care. Materials and methods: Data were collected using an online mixed-methods approach. Systematic content analysis was used to extract the required information from the websites and guidance documents of orthodontic service providers, which was then catalogued and verified electronically by senior dental advisors in the four devolved UK nations. Results: The Index of Orthodontic Treatment Need (IOTN) is a mandatory needs assessment tool used across all four nations, with an agreed minimum threshold of a dental health component (DHC) score of 3 and an aesthetic component (AC) score of 6 for NHS treatment. While the peer assessment rating (PAR) is the most utilised method of assessing post-treatment outcomes, it is applied differently by each country. Conclusion: While NHS orthodontic services across the UK share mutual elements of service delivery, there are significant differences in the prior approval process and assessment of treatment outcomes. More research is required to assess the economic feasibility of orthodontic treatment from the associated treatment outcomes.
Dual-Graph Global and Local Concept Factorization for Data Clustering

Considering a wide range of applications of nonnegative matrix factorization (NMF), many NMF and their variants have been developed. Since previous NMF methods cannot fully describe complex inner global and local manifold structures of the data space and extract complex structural information, we propose a novel NMF method called dual-graph global and local concept factorization (DGLCF). To properly describe the inner manifold structure, DGLCF introduces the global and local structures of the data manifold and the geometric structure of the feature manifold into CF. The global manifold structure makes the model more discriminative, while the two local regularization terms simultaneously preserve the inherent geometry of data and features. Finally, we analyze convergence and the iterative update rules of DGLCF. We illustrate clustering performance by comparing it with latest algorithms on four real-world datasets.
Transcatheter tricuspid valve intervention techniques and procedural steps for the treatment of tricuspid regurgitation: a review of the literature

Severe tricuspid regurgitation (TR) is an undertreated common pathology associated with significant morbidity and mortality. Classically, surgical repair or valve replacement were the only therapeutic options and are associated with up to 10% postprocedural mortality. Transcatheter tricuspid valve interventions are a novel and effective therapeutic option for the treatment of significant TR. Several devices have been developed with different mechanisms of action. They are classified as annuloplasty devices, replacement devices, caval valve implantation and coaptation devices. In this review, we provide a step-by-step description of the procedural steps and techniques of every device along with video support.
Emerging roles of circRNAs in mice kidney with aging

Circular RNA (circRNA) is a novel type of noncoding RNA expressed in different tissues and species. Up to now, little is known of the function and expression of circRNAs in kidney aging. In this research, we used RNA sequencing to identify 11,929 circRNAs in kidney from 3‐, 12‐, and 24‐month‐old mice, of which 12 circRNAs were validated by qPCR. Based on the validated circRNAs and their predicted miRNA‐mRNA target pairs, a circRNA‐miRNA‐mRNA interactions network was conducted. Bioinformatics analysis for all the mRNAs in the ceRNA network showed that the most enriched gene ontology (GO) term and one of the most enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were associated with endoplasmic reticulum (ER). The network also identified circNpas2, which was decreased significantly in mice kidney during aging, as a hub gene. Subsequently, we found that the cell cycle was arrested in G1 phase and the expression of P53 and P16 increased significantly in the circNpas2‐knockdown cells. Moreover, knockdown of circNpas2 inhibited expression of ER‐related proteins, HSPA5 and ERO1L. Taken together, our findings contribute to a better understanding of the role played by circRNA during kidney aging and provide potential therapeutic targets for the prevention of kidney aging.
Structural Regulation of Coupled Phthalocyanine–Porphyrin Covalent Organic Frameworks to Highly Active and Selective Electrocatalytic CO2 Reduction

Covalent organic frameworks (COFs) have been applied as potential electrocatalysts for CO2 reduction reaction (CO2RR) due to their adjustable architecture and porous feature. Herein, tetraanhydrides of 2,3,9,10,16,17,23,24‐octacarboxyphthalocyanine cobalt(II) (CoTAPc) are used as nodes to couple with 5,15‐di(4‐aminophenyl)‐10,20‐diphenylporphyrin (DAPor) or 5,15,10,20‐tetrayl(4‐aminophenyl)porphyrin (TAPor) via imidization reaction to fabricate novel coupled phthalocyanine–porphyrin Type 1:2 (CoPc‐2H2Por) or Type 1:1 (CoPc‐H2Por) COFs. Electrocatalytic CO2RR experiments show that both Type 1:2 and Type 1:1 COFs exhibit the maximum Faraday efficiency over 90% with high stability, while the Type 1:2 COF (CoPc‐2H2Por) delivers lower overpotential, higher current density, and CO selectivity than Type 1:1 COF (CoPc‐H2Por) and CoPc monomer. Theoretical and experimental results reveal that the better CO2RR activity of CoPc‐2H2Por than CoPc‐H2Por can be attributed to its larger pore size and conjugate structure, which then cause more efficient electron transfer, adsorption/activation of CO2, faster mass transfer, and reaction kinetics. This work provides a new idea in the structural design of COF‐based electrocatalyst for efficient CO2RR.
Measuring change in adolescent physical activity: Responsiveness of a single item

Self-report measures are frequently used to assess change in physical activity (PA) levels. Given the limited data from adolescent populations, the primary objective of this study was to examine the responsiveness of a single item measure (SIM) of PA for adolescents to detect change in moderate-to-vigorous physical activity (MVPA) using accelerometer data as the reference measure. A secondary objective was to provide further data on the validity of the measure at one point in time. The validity of the SIM to determine the number of days ≥60 minutes of MVPA was based on data from 200 participants (62% female; age: 14.0 ± 1.6 years) and analysis of change was based on data from 177 participants (65% female; age: 14.0 ± 1.6 years). Validity of change in days ≥60 minutes of MVPA was examined through agreement in classification of change between the SIM and accelerometry as the reference measurement and Spearman’s correlation. Cohen’s d and standardised response means were used to assess the responsiveness to change of the measure. The responsiveness of the SIM and accelerometer data were comparable and modest (0.27–0.38). The correlation for change in number of days ≥60 minutes MVPA between the SIM and accelerometery was low (r = 0.11) and the accuracy of the SIM for detecting change, using accelerometry as the reference, was only marginally above chance (53%). Therefore, the adolescent version of the SIM is adequate for assessing PA at a single time point but not recommended for assessing change.
Modeling and identification of multistory buildings with seismic recordings

This study proposes a continuous-discrete model for one-dimensional wave propagation in a multi-story building with seismic excitation and shows its applications in forward predicting analysis and inverse system identification. In particular, the building is modeled as a series of continuous shear-beams for columns/walls in interstories and discrete lumped-masses for floors. Wave response at one location of the building is then derived from an impulsive motion at another location in the time and frequency domains, termed here as wave-based or generalized impulse and frequency response functions (GIRF and GFRF). The GIRF and GFRF are fundamental in relating seismic wave responses at two locations of a building structure subjected to seismic excitation that is not fully known due to the complicated soil-structure interaction. Additionally, they play a key role in characterizing seismic structural responses, as well as in identifying dynamic parameters and subsequently diagnosing local damage of the structure. For illustration, this study examines the ten-story Millikan Library in Pasadena, California with recordings of the Yorba Linda earthquake of September 3, 2002. With the use of the proposed continuous-discrete model as well as its degenerated ones, seismic wave responses are interpreted from the perspective of wave propagation, and more importantly, validated with the recordings and pertinent discrete-model-based results. Finally, a wave-based approach for system identification with a limited number of seismic recordings is presented, which can be used to evaluate structural integrity and detect damage in post-earthquake structural condition assessment.
Reversible modification of mitochondrial ADP/ATP translocases by paired Legionella effector proteins

Significance Mitochondria are organelles of the central metabolism that produce ATP and play fundamental roles in eukaryotic cell function and thereby become targets for pathogenic bacteria to manipulate. We found that the intracellular bacterial pathogen, Legionella pneumophila, targets mitochondrial ADP/ATP translocases (ANTs), the function of which is linked to the mitochondrial ATP synthesis. This is achieved by a pair of effector proteins, Lpg0080 and Lpg0081, which have opposing enzymatic activities as an ADP ribosyltransferase (ART) and an ADP ribosylhydrolase (ARH), respectively, coordinately regulating the chemical modification of ANTs upon infection. Our structural analyses indicate that Lpg0081 is an ARH with a noncanonical macrodomain, whose folding topology is distinct from that of the canonical macrodomain of known eukaryotic, archaeal, and bacterial proteins.
PPI-Affinity: A Web Tool for the Prediction and Optimization of Protein–Peptide and Protein–Protein Binding Affinity

Virtual screening of protein–protein and protein–peptide interactions is a challenging task that directly impacts the processes of hit identification and hit-to-lead optimization in drug design projects involving peptide-based pharmaceuticals. Although several screening tools designed to predict the binding affinity of protein–protein complexes have been proposed, methods specifically developed to predict protein–peptide binding affinity are comparatively scarce. Frequently, predictors trained to score the affinity of small molecules are used for peptides indistinctively, despite the larger complexity and heterogeneity of interactions rendered by peptide binders. To address this issue, we introduce PPI-Affinity, a tool that leverages support vector machine (SVM) predictors of binding affinity to screen datasets of protein–protein and protein–peptide complexes, as well as to generate and rank mutants of a given structure. The performance of the SVM models was assessed on four benchmark datasets, which include protein–protein and protein–peptide binding affinity data. In addition, we evaluated our model on a set of mutants of EPI-X4, an endogenous peptide inhibitor of the chemokine receptor CXCR4, and on complexes of the serine proteases HTRA1 and HTRA3 with peptides. PPI-Affinity is freely accessible at https://protdcal.zmb. uni-due.de/PPIAffinity.
Adding freight trac to MATSim

This paper explores the integration of freight trac into an agent-oriented simula-tion system for large scale trac simulations. An agent type for freight operators isdescribed, and it is implemented with a minimal interface to the existing simulationsystem. Simulating freight trac with passenger trac requires to consider di erenttemporal planning horizons, as well as a trac ow model with heterogeneous vehicleeets.Keywords: Agent-based freight transportation modeling; Large scale simulationof agent-based microscopic trac models
Inductance calculations for non-coaxial Bitter coils with rectangular cross-section using inverse Mellin transform

: Recently, the mutual inductance between Bitter coils with rectangular cross-section has been calculated through Bessel function approach or figured out with analytical and semi-analytical formulas. In this study, using the inverse Mellin transform, relevant Bessel integrals will be continued analytically to the complex plane, and then by virtue of contour deformation and residue theorem, they can be expanded to the series containing the hypergeometric functions. In addition, the results obtained by this method are compared with those by finite element method software. Also, the presented approach shows great advantages of high accuracy and very short computational time.
Genomic biomarkers to guide precision radiotherapy in prostate cancer

Our ability to prognosticate the clinical course of patients with cancer has historically been limited to clinical, histopathological, and radiographic features. It has long been clear however, that these data alone do not adequately capture the heterogeneity and breadth of disease trajectories experienced by patients. The advent of efficient genomic sequencing has led to a revolution in cancer care as we try to understand and personalize treatment specific to patient clinico‐genomic phenotypes. Within prostate cancer, emerging evidence suggests that tumor genomics (e.g., DNA, RNA, and epigenetics) can be utilized to inform clinical decision making. In addition to providing discriminatory information about prognosis, it is likely tumor genomics also hold a key in predicting response to oncologic therapies which could be used to further tailor treatment recommendations. Herein we review select literature surrounding the use of tumor genomics within the management of prostate cancer, specifically leaning toward analytically validated and clinically tested genomic biomarkers utilized in radiotherapy and/or adjunctive therapies given with radiotherapy.
Factors Associated with Japanese Nurses’ Support on End-of-life Decision-making: A Cross-sectional Study

ABSTRACT Purpose This study aimed to clarify the factors associated with Japanese nurses’ end-of-life decision-making support. Design Cross-sectional study. Methods An online survey was conducted among 278 nurses. Findings Significantly associated factors included visiting nursing, nursing experience duration, female sex, workshop participation, and time spent on end-of-life care. Conclusion Visiting nursing was the most significant factor associated with nurses’ end-of-lifedecision-making support. Clinical Evidence Consideration should be given to the curriculum in basic nursing education related to visiting nursing. It shouldinclude end-of-life care as well as resources for end-of-life decision-making to increase the number of patients who die in their preferred setting.
Identifying Migraine Phenotype Post Traumatic Headache (MPTH) to Guide Overall Recovery From Traumatic Brain Injury

Objective: The primary aim of this study is to develop an easy way to identify migraine phenotype posttraumatic headache (MPTH) in children with traumatic brain injury, to treat headache in traumatic brain injury effectively, and to promote faster recovery from traumatic brain injury symptoms overall. Methods: We evaluated youth aged 7-20 years in a pediatric neurology traumatic brain injury (TBI) clinic, assigning a migraine phenotype for post-traumatic headache (MPTH) at the initial visit with the 3-item ID Migraine Screener. We stratified the sample by early (≤6 weeks) and late (>6 weeks) presenters, using days to recovery from concussion symptoms as the primary outcome variable. Results: 397 youth were assessed; 54% were female. Median age was 15.1 years (range 7.0-20.4 years), and 34% of the sample had sports-related injuries. Migraine phenotype for posttraumatic headache (MPTH) was assigned to 56.1% of those seen within 6 weeks of traumatic brain injury and 50.7% of those seen after the 6-week mark. Irrespective of whether they were early or late presenters to our clinic, patients with migraine phenotype (MPTH) took longer to recover from traumatic brain injury than those with posttraumatic headache (PTH) alone. Log rank test indicated that the survival (ie, recovery) distributions between those with migraine phenotype posttraumatic headache (MPTH) and those with posttraumatic headache (PTH) were statistically different, χ2(3) = 50.186 (P < .001). Conclusions: Early identification of migraine phenotype posttraumatic headache (MPTH) following concussion can help guide more effective treatment of headache in traumatic brain injury and provide a road map for the trajectory of recovery from traumatic brain injury symptoms. It will also help us understand better the mechanisms that underlie conversion to persistent posttraumatic headache and chronic migraine after traumatic brain injury.