Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of multidisciplinary collaboration in pediatric trauma care using EHR data

Abstract Objectives The study sought to identify collaborative electronic health record (EHR) usage patterns for pediatric trauma patients and determine how the usage patterns are related to patient outcomes. Materials and Methods A process mining–based network analysis was applied to EHR metadata and trauma registry data for a cohort of pediatric trauma patients with minor injuries at a Level I pediatric trauma center. The EHR metadata were processed into an event log that was segmented based on gaps in the temporal continuity of events. A usage pattern was constructed for each encounter by creating edges among functional roles that were captured within the same event log segment. These patterns were classified into groups using graph kernel and unsupervised spectral clustering methods. Demographics, clinical and network characteristics, and emergency department (ED) length of stay (LOS) of the groups were compared. Results Three distinct usage patterns that differed by network density were discovered: fully connected (clique), partially connected, and disconnected (isolated). Compared with the fully connected pattern, encounters with the partially connected pattern had an adjusted median ED LOS that was significantly longer (242.6 [95% confidence interval, 236.9–246.0] minutes vs 295.2 [95% confidence, 289.2–297.8] minutes), more frequently seen among day shift and weekday arrivals, and involved otolaryngology, ophthalmology services, and child life specialists. Discussion The clique-like usage pattern was associated with decreased ED LOS for the study cohort, suggesting greater degree of collaboration resulted in shorter stay. Conclusions Further investigation to understand and address causal factors can lead to improvement in multidisciplinary collaboration.
Excess iodine intake: sources, assessment, and effects on thyroid function

Iodine is essential for thyroid hormone synthesis. High iodine intakes are well tolerated by most healthy individuals, but in some people, excess iodine intakes may precipitate hyperthyroidism, hypothyroidism, goiter, and/or thyroid autoimmunity. Individuals with preexisting thyroid disease or those previously exposed to iodine deficiency may be more susceptible to thyroid disorders due to an increase in iodine intake, in some cases at intakes only slightly above physiological needs. Thyroid dysfunction due to excess iodine intake is usually mild and transient, but iodine‐induced hyperthyroidism can be life‐threatening in some individuals. At the population level, excess iodine intakes may arise from consumption of overiodized salt, drinking water, animal milk rich in iodine, certain seaweeds, iodine‐containing dietary supplements, and from a combination of these sources. The median urinary iodine concentration (UIC) of a population reflects the total iodine intake from all sources and can accurately identify populations with excessive iodine intakes. Our review describes the association between excess iodine intake and thyroid function. We outline potential sources of excess iodine intake and the physiological responses and consequences of excess iodine intakes. We provide guidance on choice of biomarkers to assess iodine intake, with an emphasis on the UIC and thyroglobulin.
A Clinical Resonance Frequency Analysis of Implants Placed at Dehiscence-type Defects with Simultaneous Guided Bone Regeneration During Early Healing.

PURPOSE To investigate the implant stability quotient (ISQ) values of implants placed in bone with and without dehiscence bone defects over 12 weeks and to compare the ISQ values between the two groups. MATERIALS AND METHODS Twenty-two patients with edentulous area at posterior mandible were enrolled. Thirty OsseoSpeed EV Astra Tech implants (Dentsply Sirona), 4.2 mm in diameter, were placed. Twenty implants were placed without bone regeneration (control group), while 10 presented with favorable bone defects and received simultaneous guided bone regeneration with dental implant placement (study group). At the time of implant placement, 2, 4, 8, and 12 weeks, resonance frequency analysis (RFA) was utilized. The changes in ISQ values within group were analyzed with repeated-measures ANOVA, and the mean ISQ values between the control and study groups were compared using unpaired t tests. RESULTS All implants were successfully integrated without complication. The control group demonstrated mean ISQ values of 74.30 ± 6.01, 69.58 ± 5.30, 71.10 ± 5.80, 75.08 ± 3.93, and 77.85 ± 3.18 at baseline, 2, 4, 8, and 12 weeks, respectively. The study group demonstrated mean ISQ values of 69.85 ± 7.00, 63.40 ± 8.47, 59.90 ± 10.23, 72.55 ± 3.10, and 76.20 ± 2.68 at baseline, 2, 4, 8, and 12 weeks, respectively. The study group showed significantly lower mean ISQ values at 2 weeks (P = .021) and at 4 weeks (P = .007) after implant placement compared to those of the control group. CONCLUSION Within the 12-week healing period, all implants demonstrated successful osseointegration and achieved stability in favorable bone defects. Nevertheless, clinicians should consider that significantly lower implant stability can occur in the first month.
Attachment styles, self‐compassion, and psychological adjustment in long‐term breast cancer survivors

The increasing numbers of breast cancer survivors highlight the importance of delineating factors that identify women who are at risk of poor psychological adjustment in the long term. In breast cancer survivors, higher attachment anxiety and attachment avoidance have been associated with poorer psychological adjustment. Moreover, there is evidence that self‐compassion, a kind manner of treating oneself during difficulties, is associated with psychological adjustment in this population. This study aimed to extend the association between attachment styles and psychological adjustment to the context of long‐term breast cancer survivors and to determine whether lower self‐compassion underlies this association.
Optical Fiber-Based Sensing, Measuring, and Implementation Methods for Slope Deformation Monitoring: A Review

Slope instabilities are a common occurrence in hilly areas, mine, and dam region, which bring a grave threat to the safety of transportation business and human life. The effective slope monitoring methods and instruments can provide information on the current deformation and historical trends, which is important scientific information for researchers to analyze slope stability and provide a timely warning to the public. Optical fiber sensors (OFSs) have attracted many researchers to explore due to their unique advantages in comparison with conventional electronic-based sensing technologies, such as immunity to electromagnetic interference, remote transmission, easy integration, and high sensitivity. This review presents an overview of the latest development and application of OFS-based slope deformation monitoring from two aspects: 1) fiber Bragg grating-based sensing and monitoring technology and 2) distributed OFSs including Brillouin optical time domain reflectometry and Brillouin optical time domain analysis for slope monitoring. Meanwhile, current challenges in implementing the OFS-based slope monitoring technology are discussed.
On the Structural Perspective of Computational Effectiveness for Quantized Consensus in Layered UAV Networks

Distributed computing tasks in small unmanned aerial vehicle (UAV) networks require effective data transmission schemes because of limited communication channels and transmission power. In this paper, we use distributed consensus as a canonical distributed computing task to study the effectiveness of the data transmission in digitized (quantized) channels for UAV networks. We show that layered structures are more effective than equivalent egalitarian structures in terms of the data transmission load required to reach consensus. In particular, we establish explicit relationships between simple structural characteristics and the performance of quantized consensus (e.g., consensus condition, consensus value, and transmission load to reach consensus) for broad classes of layered structures. We also provide analytical results on asymptotic and transient performance when additional local memories are used to further reduce the data transmission load to reach consensus.
The Effects of Preoperative Aspirin on Coronary Artery Bypass Surgery: a Systematic Meta-Analysis

Background and Objectives Aspirin plays an important role in the maintenance of graft patency and the prevention of thrombotic event after coronary artery bypass graft surgery (CABG). However, the use of preoperative aspirin is still under debate due to the risk of bleeding. Methods From PubMed, EMBASE, and Cochrane Central Register of Controlled Trials, data were extracted by 2 independent reviewers. Meta-analysis using random effect model was performed. Results We performed a systemic meta-analysis of 17 studies (12 randomized controlled studies and 5 non-randomized registries) which compared clinical outcomes of 9,101 patients who underwent CABG with or without preoperative aspirin administration. Preoperative aspirin increased chest tube drainage (weighted mean difference 177.4 mL, 95% confidence interval [CI], 41.3–313.4; p=0.011). However, the risk of re-operation for bleeding was not different between the preoperative aspirin group and the control group (3.2% vs. 2.4%; odds ratio [OR], 1.23; 95% CI, 0.94–1.60; p=0.102). There was no difference in the rates of all-cause mortality (1.6% vs. 1.5%; OR, 0.98; 95% CI, 0.64–1.49; p=0.920) and myocardial infarction (MI) (8.7% vs. 10.4%; OR, 0.83; 95% CI, 0.66–1.04; p=0.102) between patients with and without preoperative aspirin administration. Conclusions Although aspirin increased the amount of chest tube drainage, it was not associated with increased risk of re-operation for bleeding. In addition, the risks of early postoperative all-cause mortality and MI were not reduced by using preoperative aspirin.
Characterization of nutrients, polyphenols and volatile components of the ancient apple cultivar ‘Mela Rosa Dei Monti Sibillini’ from Marche region, central Italy

Abstract In the present work, we reported for the first time a comprehensive study on the phytonutrients, that is, natural compounds able to provide benefits to health, found in an ancient apple variety cultivated in orchards of the Sibillini Mountains, central Italy, known as Mela Rosa dei Monti Sibillini. This fruit has recently been promoted by authorities and local institutions as a typical food of the Marche Region. For the purpose, analysis of its nutrients, phenolics, triterpenes and volatile components as well as a morpho-anatomical study was carried out in order to give an added value for its consumption and promotion at regional and national level. ICP–MS, HPLC–MSn and GC–MS analyses were useful techniques for giving a typical fingerprint to this apple, consisting in a high content of K and B, quercetin derivatives as the main phenolic compounds and carboxylic esters, aldehydes, alcohols and (E,E)-α-farnesene as the main key odorants.
Socket healing with and without immediate implant placement

The aim of the present review was to describe the studies produced in Latin America that contributed to the elucidation of the effect of tooth extraction with and without immediate implant installation. An electronic search was conducted in MEDLINE (PubMed), Scopus, Scielo, Lilacs, and Embase to include clinical and experimental (animal) studies on immediate implants. The studies selected had to fulfill the following inclusion criteria: (i) to present clinical and/or histological data on socket healing with or without immediate implant installation; (ii) to be approved by a Latin American Ethic Committee or comparable; and (iii) to include at least one author from a Latin American institution or to be conducted in a Latin America institution. Latin American studies that fulfilled these criteria demonstrated that immediate implant installation was conducive for predictable osseointegration and high survival rates but failed to prevent bone modeling and dimensional reduction of the alveolar ridge. In addition, it was also shown that regenerative approaches, including hard and soft tissue grafts at the time of immediate implant placement, may be beneficial to compensate for the alveolar ridge reduction. Regenerative approaches immediately after tooth extraction may decrease the amount of dimension reduction of the alveolar ridge.
XMAP215 promotes microtubule–F-actin interactions to regulate growth cone microtubules during axon guidance in Xenopus laevis

ABSTRACT It has long been established that neuronal growth cone navigation depends on changes in microtubule (MT) and F-actin architecture downstream of guidance cues. However, the mechanisms by which MTs and F-actin are dually coordinated remain a fundamentally unresolved question. Here, we report that the well-characterized MT polymerase, XMAP215 (also known as CKAP5), plays an important role in mediating MT–F-actin interaction within the growth cone. We demonstrate that XMAP215 regulates MT–F-actin alignment through its N-terminal TOG 1–5 domains. Additionally, we show that XMAP215 directly binds to F-actin in vitro and co-localizes with F-actin in the growth cone periphery. We also find that XMAP215 is required for regulation of growth cone morphology and response to the guidance cue, Ephrin A5. Our findings provide the first strong evidence that XMAP215 coordinates MT and F-actin interaction in vivo. We suggest a model in which XMAP215 regulates MT extension along F-actin bundles into the growth cone periphery and that these interactions may be important to control cytoskeletal dynamics downstream of guidance cues. This article has an associated First Person interview with the first author of the paper. Highlighted Article: XMAP215 binds F-actin in vitro and promotes microtubule–F-actin alignment in growth cones, which could be controlling cytoskeletal dynamics downstream of guidance cues, and thus, steering the axon during neuronal development.
The Effect of Information Quality Evaluation on Selective Exposure in
 Informational Cognitive Dissonance: The Role of Information Novelty

In fictional decision-making, research on selective exposure (the tendency to expose oneself to consistent information and avoid inconsistent information, Festinger, 1957) shows that this phenomenon may be partly due to a biased evaluation quality of information. The present study seeks to establish whether this biased evaluation also occurs with informational dissonance (Vaidis and Gosling, 2011). More specifically, we examined (1) whether an individual’s attitude or behavior may be biased by information perception; and (2) whether this phenomenon was related to the perception of the information’s novelty. In two successive studies, participants evaluated the quality and the novelty of information and their desire to expose themselves to it. The information in the texts dealt with the effects of passive smoking, alcohol, and electromagnetic waves (Study 1) and GMOs (Study 2). For each of these topics, one text emphasized their harmlessness (tobacco and electromagnetic waves) or the positive effects (alcohol and GMOs), whereas the second presented the negative effects on health. The hypotheses were tested using moderated mediation models. The results differed according to the subjects addressed and the novelty of the information submitted. Among several possible explanations for the findings, we suggest that the valence of the texts on items considered harmful for health plays a role.
Patient satisfaction with breast reconstructionusing musculocutaneous flap from latissimus dorsiversus from rectus abdominis: a cross-sectional study

ABSTRACT BACKGROUND: Breast cancer is the second most frequent type of cancer worldwide and the most common type among women. The treatment for this condition has evolved over recent decades with therapeutic and technological advances. Breast reconstruction techniques using musculocutaneous flaps from the latissimus dorsi and rectus abdominis have aroused interest regarding patients’ quality of life. Our goal here was to compare patients’ satisfaction scores after they underwent breast reconstruction using musculocutaneous flaps from either the latissimus dorsi or the rectus abdominis. DESIGN AND SETTING: Primary, clinical, analytical, observational and cross-sectional study conducted in a federal university and a public hospital. METHODS: Demographic and clinical data were collected. The Mini-Mental State Examination was then applied, with testing for specificity and sensitivity. Lastly, a breast evaluation questionnaire was applied to evaluate breast satisfaction among 90 women, who were divided into three groups: mastectomy (control; n = 30); breast reconstruction using flap from the latissimus dorsi (n = 30); and reconstruction using flap from the rectus abdominis (n = 30). RESULTS: The groups were homogeneous regarding the main demographic data and the questionnaire responses (P < 0.05). Compared with the control group, the reconstruction groups showed significant improvement in satisfaction (P < 0.0002) after one year. CONCLUSION: Within our sample, women who underwent breast reconstruction with flaps from either the latissimus dorsi or the rectus abdominis had similar satisfaction scores.
Triheptanoin alters [U-13C6]-glucose incorporation into glycolytic intermediates and increases TCA cycling by normalizing the activities of pyruvate dehydrogenase and oxoglutarate dehydrogenase in a chronic epilepsy mouse model

Triheptanoin is anticonvulsant in several seizure models. Here, we investigated changes in glucose metabolism by triheptanoin interictally in the chronic stage of the pilocarpine mouse epilepsy model. After injection of [U-13C6]-glucose (i.p.), enrichments of 13C in intermediates of glycolysis and the tricarboxylic acid (TCA) cycle were quantified in hippocampal extracts and maximal activities of enzymes in each pathway were measured. The enrichment of 13C glucose in plasma was similar across all groups. Despite this, we observed reductions in incorporation of 13C in several glycolytic intermediates compared to control mice suggesting glucose utilization may be impaired and/or glycogenolysis increased in the untreated interictal hippocampus. Triheptanoin prevented the interictal reductions of 13C incorporation in most glycolytic intermediates, suggesting it increased glucose utilization or – as an additional astrocytic fuel – it decreased glycogen breakdown. In the TCA cycle metabolites, the incorporation of 13C was reduced in the interictal state. Triheptanoin restored the correlation between 13C enrichments of pyruvate relative to most of the TCA cycle intermediates in “epileptic” mice. Triheptanoin also prevented the reductions of hippocampal pyruvate dehydrogenase and 2-oxoglutarate dehydrogenase activities. Decreased glycogen breakdown and increased glucose utilization and metabolism via the TCA cycle in epileptogenic brain areas may contribute to triheptanoin's anticonvulsant effects.
Interactions of p53 with poly(ADP-ribose) and DNA induce distinct changes in protein structure as revealed by ATR-FTIR spectroscopy

Abstract Due to multiple domains and in part intrinsically disordered regions, structural analyses of p53 remain a challenging task, particularly in complex with DNA and other macromolecules. Here, we applied a novel attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopic approach to investigate changes in secondary structure of full-length p53 induced by non-covalent interactions with DNA and poly(ADP-ribose) (PAR). To validate our approach, we confirmed a positive regulatory function of p53’s C-terminal domain (CTD) with regard to sequence-specific DNA binding and verified that the CTD mediates p53–PAR interaction. Further, we demonstrate that DNA and PAR interactions result in distinct structural changes of p53, indicating specific binding mechanisms via different domains. A time-dependent analysis of the interplay of DNA and PAR binding to p53 revealed that PAR represents p53’s preferred binding partner, which efficiently controls p53–DNA interaction. Moreover, we provide infrared spectroscopic data on PAR pointing to the absence of regular secondary structural elements. Finally, temperature-induced melting experiments via CD spectroscopy show that DNA binding stabilizes the structure of p53, while PAR binding can shift the irreversible formation of insoluble p53 aggregates to higher temperatures. In conclusion, this study provides detailed insights into the dynamic interplay of p53 binding to DNA and PAR at a formerly inaccessible molecular level.
Enhancing Sketch-Based Image Retrieval by CNN Semantic Re-ranking

This paper introduces a convolutional neural network (CNN) semantic re-ranking system to enhance the performance of sketch-based image retrieval (SBIR). Distinguished from the existing approaches, the proposed system can leverage category information brought by CNNs to support effective similarity measurement between the images. To achieve effective classification of query sketches and high-quality initial retrieval results, one CNN model is trained for classification of sketches, another for that of natural images. Through training dual CNN models, the semantic information of both the sketches and natural images is captured by deep learning. In order to measure the category similarity between images, a category similarity measurement method is proposed. Category information is then used for re-ranking. Re-ranking operation first infers the retrieval category of the query sketch and then uses the category similarity measurement to measure the category similarity between the query sketch and each initial retrieval result. Finally, the initial retrieval results are re-ranked. The experiments on different types of SBIR datasets demonstrate the effectiveness of the proposed re-ranking method. Comparisons with other re-ranking algorithms are also given to show the proposed method’s superiority. Further, compared to the baseline systems, the proposed re-ranking approach achieves significantly higher precision in the top ten different SBIR methods and datasets.
Fast Iterative Semi-Blind Receiver for URLLC in Short-Frame Full-Duplex Systems With CFO

We propose an iterative semi-blind (ISB) receiver structure to enable ultra-reliable low-latency communications in short-frame full-duplex (FD) systems with carrier frequency offset (CFO). To the best of our knowledge, this is the first paper to propose an integral solution to channel estimation and CFO estimation for short-frame FD systems by utilizing a single pilot. By deriving an equivalent system model with the CFO included implicitly, a subspace-based blind channel estimation is proposed at the initial stage, followed by CFO estimation and channel ambiguities elimination. Then, the refinement of channel and the CFO estimates is conducted iteratively. The integer and fractional parts of CFO in the full range are estimated as a whole and in closed-form at each iteration. The proposed ISB receiver significantly outperforms the previous methods in terms of frame error rate, mean square errors of channel estimation and CFO estimation and output signal-to-interference-and-noise ratio, while at a halved spectral overhead. Cramér–Rao lower bounds are derived to verify the effectiveness of the proposed ISB receiver structure. It also demonstrates high-computational efficiency as well as the fast convergence speed.
The novel gene apnoia regulates Drosophila tracheal tube size

Distinct tube size is critical for the function of human tubular organs such as the lung, vascular system, and kidney. Aberrant tube sizes can lead to devastating human illnesses, including polycystic kidney disease. The Drosophila trachea provides a premier genetic system to investigate the fundamental mechanisms that regulate tube size.