Miracle-dz/UniFAR-FTUs huggingface dataset:
Anterior temporal lobectomy improved mood status and quality of life in Chinese patients with mesial temporal lobe epilepsy: a single-arm cohort study

Abstract Background: Many studies have emphasized that selective resection of epileptic lesions in temoral lobe is associated with better preservation of cognition function; whether this applies to patients with refractory mesial temporal lobe epilepsy (MTLE) remains unknown. The objective of this study was to evaluate changes in cognitive functions, mood status, and quality of life after anterior temporal lobectomy in patients with refractory MTLE. Methods: This single-arm cohort study assessed cognitive function, mood status, and quality of life, as well as electroencephalography findings, in patients with refractory MTLE who underwent anterior temporal lobectomy at Xuanwu Hospital from January 2018 to March 2019. Pre- and post-operative characteristics were compared to evaluate the effects of surgery. Results: Anterior temporal lobectomy significantly reduced the frequencies of epileptiform discharges. The overall success rate of surgery was acceptable. Anterior temporal lobectomy did not result in significant changes in overall cognitive functions (P > 0.05), although changes in certain domains, including visuospatial ability, executive ability, and abstract thinking, were detected. Anterior temporal lobectomy resulted in improvements in anxiety and depression symptoms and quality of life. Conclusions: Anterior temporal lobectomy reduced epileptiform discharges and incidence of post-operative seizures as well as resulted in improved mood status and quality of life without causing significant changes in cognitive function.
A century of climate warming results in growing season extension: Delayed autumn leaf phenology in north central North America

Shifts in the timing of key leaf phenological events including budburst, foliage coloration, and leaf fall have been observed worldwide and are consistent with climate warming. Quantifying changes in growing season length (GSL) because of shifts in both spring and autumn leaf phenology is crucial for modeling annual net ecosystem carbon uptake. However, a lack of long-term autumn phenology datasets has prevented assessment of these growing season level changes. We investigated shifts in growing season length, budburst, foliage coloration, and leaf fall over the past century in seven native hardwood species using a historic leaf phenology dataset collected in Wauseon, OH from 1883–1912 paired with contemporary observations. Using long-term meteorological data, we investigated temperature and precipitation trends over 130 years. Finally, we correlated spring and fall phenophases with monthly temperature and precipitation variables from the twelve months preceding that phenophase using historical meteorological data. We found significant extension of growing season length over the past century in five of the seven study species (ANOVA, p < 0.05) which resulted primarily from delayed foliage coloration rather than from earlier budburst in contrast to the few other studies assessing total GSL change. Our results suggest that most of the leaf phenological studies that investigate only budburst are disregarding crucial information about the end of the growing season that is essential for accurately predicting the effects of climate change in mixed-species temperate deciduous forests.
Opportunities and risks of ChatGPT in medicine, science, and academic publishing: a modern Promethean dilemma

The release of ChatGPT, the latest large (175-billion-parameter) language model by San Francisco-based company OpenAI, prompted many to think about the exciting (and troublesome) ways artificial intelligence (AI) might change our lives in the very near future. The OpenAI’s chatbot allegedly gained more than 1 million users in the first few days after its launch and 100 million in the first 2 months, positioning itself as the fastest-growing consumer application in history (1). The hype surrounding ChatGPT is not unjustified: the model is (still) free, easy to use, and able to authentically converse on many subjects in a way that is almost indistinguishable from human communication. Furthermore, considering that ChatGPT was generated by fine-tuning the GPT-3.5 model from early 2022 with supervised and reinforcement learning (2), the quality of the chatbot-generated content can only be improved with additional training and optimization. As the inevitable implementation of this disruptive technology will have far-reaching consequences for medicine, science, and academic publishing, we need to discuss both the opportunities and risks of its use.
A convolutional neural network model for EPID‐based non‐transit dosimetry

Abstract Purpose To develop an alternative computational approach for EPID‐based non‐transit dosimetry using a convolutional neural network model. Method A U‐net followed by a non‐trainable layer named True Dose Modulation recovering the spatialized information was developed. The model was trained on 186 Intensity‐Modulated Radiation Therapy Step & Shot beams from 36 treatment plans of different tumor locations to convert grayscale portal images into planar absolute dose distributions. Input data were acquired from an amorphous‐Silicon Electronic Portal Image Device and a 6 MV X‐ray beam. Ground truths were computed from a conventional kernel‐based dose algorithm. The model was trained by a two‐step learning process and validated through a five‐fold cross‐validation procedure with sets of training and validation of 80% and 20%, respectively. A study regarding the dependance of the amount of training data was conducted. The performance of the model was evaluated from a quantitative analysis based the ϒ‐index, absolute and relative errors computed between the inferred dose distributions and ground truths for six square and 29 clinical beams from seven treatment plans. These results were also compared to those of an existing portal image‐to‐dose conversion algorithm. Results For the clinical beams, averages of ϒ‐index and ϒ‐passing rate (2%‐2mm > 10% Dmax) of 0.24 (±0.04) and 99.29 (±0.70)% were obtained. For the same metrics and criteria, averages of 0.31 (±0.16) and 98.83 (±2.40)% were obtained with the six square beams. Overall, the developed model performed better than the existing analytical method. The study also showed that sufficient model accuracy can be achieved with the amount of training samples used. Conclusion A deep learning‐based model was developed to convert portal images into absolute dose distributions. The accuracy obtained shows that this method has great potential for EPID‐based non‐transit dosimetry.
Adaptor proteins mediate CXCR4 and PI4KA crosstalk in prostate cancer cells and the significance of PI4KA in bone tumor growth

The chemokine receptor, CXCR4 signaling regulates cell growth, invasion, and metastasis to the bone-marrow niche in prostate cancer (PCa). Previously, we established that CXCR4 interacts with phosphatidylinositol 4-kinase IIIα (PI4KIIIα encoded by PI4KA) through its adaptor proteins and PI4KA overexpressed in the PCa metastasis. To further characterize how the CXCR4-PI4KIIIα axis promotes PCa metastasis, here we identify CXCR4 binds to PI4KIIIα adaptor proteins TTC7 and this interaction induce plasma membrane PI4P production in prostate cancer cells. Inhibiting PI4KIIIα or TTC7 reduces plasma membrane PI4P production, cellular invasion, and bone tumor growth. Using metastatic biopsy sequencing, we found PI4KA expression in tumors correlated with overall survival and contributes to immunosuppressive bone tumor microenvironment through preferentially enriching non-activated and immunosuppressive macrophage populations. Altogether we have characterized the chemokine signaling axis through CXCR4-PI4KIIIα interaction contributing to the growth of prostate cancer bone metastasis.
Recent advances in highly accelerated 3D MRI

Three-dimensional MRI has gained increasing popularity in various clinical applications due to its improved through-plane spatial resolution, which enhances the detection of subtle abnormalities and provides valuable clinical information. However, the long data acquisition time and high computational cost pose significant challenges for 3D MRI. In this comprehensive review article, we aim to summarize the latest advancements in accelerated 3D MR techniques. Covering over 200 remarkable research studies conducted over the past 20 years, we explore the development of MR signal excitation and encoding, advancements in reconstruction algorithms, and potential clinical applications. We hope that this survey serves as a valuable resource, providing insights into the current state of the field and serving as a guide for future research in accelerated 3D MRI.
Linear Regression Models under Conditional Independence Restrictions

Maximum likelihood estimation is investigated in the context of linear regression models under partial independence restrictions. These restrictions aim to assume a kind of completeness of a set of predictors Z in the sense that they are sufficient to explain the dependencies between an outcome Y and predictors X: ℒ(Y|Z, X) = ℒ(Y|Z), where ℒ(·|·) stands for the conditional distribution. From a practical point of view, the former model is particularly interesting in a double sampling scheme where Y and Z are measured together on a first sample and Z and X on a second separate sample. In that case, estimation procedures are close to those developed in the study of double‐regression by Engel & Walstra (1991) and Causeur & Dhorne (1998) . Properties of the estimators are derived in a small sample framework and in an asymptotic one, and the procedure is illustrated by an example from the food industry context.
Scavenger receptors mediate increased uptake of irradiated T.gondii extracts by J774 macrophages

Abstract Purpose Protein extracts developed increased immunogenicity without the aid of adjuvants after gamma irradiation. Gamma irradiation of snake venom increased antivenin production by detoxification and enhanced immunity, probably due preferential uptake of irradiated venoms by macrophage scavenger receptors. We studied this uptake of irradiated soluble Toxoplasma gondii extract (STag) by the J774 macrophage cell line similar to antigen presenting cells. Material And Methods We labeled STag by biosynthesis in living tachyzoites with radioactive amino acids before purification and irradiation or by adding labels as biotin or fluorescein in stored STag, for quantitative studies or subcellular distribution visualization. Results There was enhanced binding and uptake of irradiated STag into the cells compared to non-irradiated STag. Using fluorescein labeled antigens and morphological assays, we confirmed that cells avidly ingested both native and irradiated proteins but native STag were digested after ingestion while irradiated proteins remained in the cell, suggesting diverse intracytoplasmic pathways. Native or irradiated STag present the same in vitro sensitivity to three types of peptidases. Inhibitors of scavenger receptors (SRs) such as Dextran sulfate (SR-A1 blocker) or Probucol (SR-B blocker) affect the specific uptake of irradiated antigens, suggesting its association with enhanced immunity. Conclusions Our data suggests that cell SRs recognize irradiated proteins, mainly SRs for oxidized proteins, leading to antigen uptake by an intracytoplasmic pathway with fewer peptidases that prolongs presentation to nascent major histocompatibility complex I or II and enhances immunity by better antigen presentation.
The impact of curcumin supplementation on systemic lupus erythematosus and lupus nephritis: A systematic review

Objective Curcumin is the active ingredient in the curry spice turmeric. It has anti-inflammatory properties due to the inhibition of transcription factors and inflammatory mediators such as nuclear factor-κβ (NF-κβ), cyclooxygenase-2 (COX2), lipoxygenase (LOX), tumor necrosis factoralpha (TNF-alpha), and interleukin-1 (IL-1) and 6 (IL-6). This review examines the literature regarding the efficacy of curcumin on systemic lupus erythematosus disease activity. Methods A search was conducted following guidelines in the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) using the PubMed, Google Scholar, Scopus, and MEDLINE electronic databases to retrieve relevant studies assessing the impact of curcumin supplementation on SLE. Results The initial search yielded three double-blind, placebo-controlled, randomized clinical trials, three human in vitro studies, and seven mouse-model studies. In human trials, curcumin decreased 24-h and spot proteinuria, but the trials were small, ranging from 14 to 39 patients, with varied curcumin doses and different study durations ranging from 4 to 12 weeks. There was no change in C3, dsDNA, or the Systemic Lupus Erythematosus Disease Activity (SLEDAI) scores even in the longer trials. The mouse-model trials yielded more data. NF-κβ activation was suppressed along with inducible nitric oxide synthase (NOS) species expression when 1 mg/kg/day of curcumin was administered for 14 weeks, leading to significant decreases in dsDNA, proteinuria, renal inflammation, and IgG subclasses. Another study suggested that curcumin reduced B cell-activating factor (BAFF) when used for up to 8 weeks at 50 mg/kg/day. A reduction in pro-inflammatory Th1 and Th17 percentages, IL-6 and anti-nuclear antibody (ANA) levels were reported. The doses used in the murine models were much higher than those used in human trials, with 12.5 mg–200 mg/kg/day used for over 16 weeks; highlighting that the optimal time for an immunological effect to be observed may require 12–16 weeks of curcumin use. Conclusion Despite the wide use of curcumin in everyday life, its molecular and anti-inflammatory use has only been partially explored. Current data show a potential benefit on disease activity. Still, no uniform dose can be advised because long-duration, large-scale randomized trials using defined dosing are needed in different subsets of SLE, including lupus nephritis patients.
Relationship Between Body Size and Skeletal Age with Muscle Damage in Young Soccer Players

Abstract This study verified the relationship between body size and skeletal age (SA) with the behavior of blood markers of muscle damage and delayed onset muscle soreness (DOMS) after a soccer match in the U-13 and U-15 categories. The sample consisted of 28 soccer players in the U-13 and 16 in the U-15 categories. Creatine kinase (CK), lactate dehydrogenase (LDH), and DOMS were evaluated up to 72 h after the match. Muscle damage was elevated at 0 h in U-13, and from 0 h to 24 h in U-15. DOMS increased from 0 h to 72 h in U-13 and from 0 h to 48 h in U-15. Significant associations of SA and fat-free mass (FFM) with muscle damage markers and DOMS were observed only in U-13, specifically at time 0 h, when SA explained 56% of CK and 48% of DOMS and FFM explained 48% of DOMS. We concluded that in the U-13 category, higher SA is significantly associated with muscle damage markers, and increase in FFM is associated with muscle damage markers and DOMS. Furthermore, U-13 players need 24 h to recover pre-match muscle damage markers and more than 72 h to recover DOMS. In contrast, the U-15 category needs 48 h to recover muscle damage markers and 72 h to recover DOMS.
Thoracic Society of Australia and New Zealand (TSANZ) position statement on chronic suppurative lung disease and bronchiectasis in children, adolescents and adults in Australia and New Zealand

This position statement, updated from the 2015 guidelines for managing Australian and New Zealand children/adolescents and adults with chronic suppurative lung disease (CSLD) and bronchiectasis, resulted from systematic literature searches by a multi‐disciplinary team that included consumers. The main statements are: Diagnose CSLD and bronchiectasis early; this requires awareness of bronchiectasis symptoms and its co‐existence with other respiratory diseases (e.g., asthma, chronic obstructive pulmonary disease). Confirm bronchiectasis with a chest computed‐tomography scan, using age‐appropriate protocols and criteria in children. Undertake a baseline panel of investigations. Assess baseline severity, and health impact, and develop individualized management plans that include a multi‐disciplinary approach and coordinated care between healthcare providers. Employ intensive treatment to improve symptom control, reduce exacerbation frequency, preserve lung function, optimize quality‐of‐life and enhance survival. In children, treatment also aims to optimize lung growth and, when possible, reverse bronchiectasis. Individualize airway clearance techniques (ACTs) taught by respiratory physiotherapists, encourage regular exercise, optimize nutrition, avoid air pollutants and administer vaccines following national schedules. Treat exacerbations with 14‐day antibiotic courses based upon lower airway culture results, local antibiotic susceptibility patterns, clinical severity and patient tolerance. Patients with severe exacerbations and/or not responding to outpatient therapy are hospitalized for further treatments, including intravenous antibiotics and intensive ACTs. Eradicate Pseudomonas aeruginosa when newly detected in lower airway cultures. Individualize therapy for long‐term antibiotics, inhaled corticosteroids, bronchodilators and mucoactive agents. Ensure ongoing care with 6‐monthly monitoring for complications and co‐morbidities. Undertake optimal care of under‐served peoples, and despite its challenges, delivering best‐practice treatment remains the overriding aim.
Functional and MRI Outcomes After In Situ Repair Versus Tear Completion Before Repair of Bursal‐Side Partial‐Thickness Rotator Cuff Tears

The optimal repair method for bursal‐side partial‐thickness rotator cuff tears (PTRCTs) involving >50% of the thickness remains a controversial topic. The study was aimed to compare the functional and magnetic resonance imaging (MRI) outcomes after in situ repair or tear completion before repair of bursal‐side PTRCTs.
Predictors of Early Neurological Improvement and Its Relationship to Thrombolysis Treatment and Long-Term Outcome in the WAKE-UP Study

Introduction: The aims of this study were to evaluate the relationship of clinical and imaging baseline factors and treatment on the occurrence of early neurological improvement (ENI) in the WAKE-UP trial of MRI-guided intravenous thrombolysis in unknown onset stroke and to examine the association of ENI with long-term favorable outcome in patients treated with intravenous thrombolysis. Methods: We analyzed data from all patients with at least moderate stroke severity, reflected by an initial National Institutes of Health Stroke Scale (NIHSS) score ≥4 randomized in the WAKE-UP trial. ENI was defined as a decrease in NIHSS of ≥8 or a decline to zero or 1 at 24 h after initial presentation to the hospital. Favorable outcome was defined as a modified Rankin Scale score of 0–1 at 90 days. We performed group comparison and multivariable analysis of baseline factors associated with ENI and performed mediation analysis to evaluate the effect of ENI on the relationship between intravenous thrombolysis and favorable outcome. Results: ENI occurred in 93 out of 384 patients (24.2%) and was more likely to occur in patients who received treatment with alteplase (62.4% vs. 46.0%, p = 0.009), had smaller acute diffusion-weighted imaging lesion volume (5.51 mL vs. 10.9 mL, p ≤ 0.001), and less often large-vessel occlusion on initial MRI (7/93 [12.1%] versus 40/291 [29.9%], p = 0.014). In multivariable analysis, treatment with alteplase (OR 1.97, 95% confidence interval [CI] 0.954–1.100), lower baseline stroke volume (OR 0.965, 95% CI: 0.932–0.994), and shorter time from symptom recognition to treatment (OR 0.994, 95% CI: 0.989–0.999) were independently associated with ENI. Patients with ENI had higher rates of favorable outcome at 90-day follow-up (80.6% vs. 31.3%, p ≤ 0.001). The occurrence of ENI significantly mediated the association of treatment with a good outcome, with ENI at 24 h explaining 39.4% (12.9–96%) of the treatment effect. Conclusion: Intravenous alteplase increases the odds of ENI in patients with at least moderate stroke severity, especially when given early. In patients with large-vessel occlusion, ENI is rarely observed without thrombectomy. ENI represents a good surrogate early marker of treatment effect as more than a third of good outcome at 90 days is explained by ENI at 24 h.
Genetic algorithm for supply restoration and optimal load shedding in power system distribution networks

A genetic algorithm (GA) is employed to search for the optimal supply restoration strategy in distribution networks. An 'integer permutation' encoding scheme is adopted in which each chromosome is a list of indices of switches. The status of each of these switches is decided according to graph theory subject to the radiality constraint of the distribution networks. Each chromosome then maps to a feasible network topology. A special gene '0' is also introduced into the chromosome. Instead of representing a switch, this is a flag that keeps some parts of the network disconnected enabling the GA to find the optimal load shedding strategy where necessary. The proposed algorithm has been tested on a practical system and shown to find an optimal post-fault supply restoration strategy, and also the optimal load shedding point when total demand cannot be supplied.
Impact of Dietary Counseling on Health-Related Quality of Life in Patients with Cancer Awaiting Hepato-Pancreato-Biliary Surgery

Abstract We examined the effectiveness of dietary counseling performed within a trimodal prehabilitation study for patients with cancer awaiting hepato-pancreato-biliary (HPB) surgery. Additionally, we explored relationships between nutritional status and health-related quality of life (HRQoL). The dietary intervention aimed to achieve a protein intake of 1.5 g/kg/day and reduce nutrition-impact symptoms. Patients received dietary counseling 4 weeks prior to surgery (prehabilitation group); the rehabilitation group just before surgery. We used 3-day food journals to calculate protein intake and the abridged Patient-generated Subjective Global Assessment questionnaire (aPG-SGA) to determine nutritional status. We utilized the Functional Assessment of Cancer Therapy-General questionnaire to measure HRQoL. Sixty-one patients participated in the study (30 = prehabilitation). Dietary counseling achieved a significant increase in preoperative protein intake (+0.3 ± 0.1 g/kg/day, P = 0.007), with no change in the rehabilitation group. Dietary counseling did not mitigate a significant increase in aPG-SGA postoperatively (prehabilitation: +5.8 ± 1.0; rehabilitation: +3.3 ± 1.0; P < 0.05). aPG-SGA was predictive of HRQoL (β = –1.77, P < 0.0001). HRQoL remained unchanged in both groups over the study period. Dietary counseling within a HPB prehabilitation program improves preoperative protein intake, but not aPG-SGA, which is predictive of HRQoL. Future studies should examine whether specialized medical management of nutrition-impact symptoms would improve HRQoL outcomes within a prehabilitation model.