Miracle-dz/UniFAR-FTUs huggingface dataset:
Mesothelin Expression Is a Predictive Factor for Peritoneal Recurrence in Curatively Resected Stage III Gastric Cancer.

BACKGROUND Mesothelin is overexpressed in many solid tumors, and recent studies have shown that mesothelin expression is associated with poor outcomes in several malignant tumors and may play a role in cancer progression. Clinical trials of mesothelin-targeted immunotherapies are currently under way, but the correlation between mesothelin expression and gastric cancer prognosis is still unclear. SUBJECTS, MATERIALS, AND METHODS Mesothelin expression in tumor cells was evaluated immunohistochemically in 958 patients with advanced gastric cancer and interpreted according to the intensity and extent of staining. Samples were scored from 0 to 2, with high expression defined as a score of 2. Clinicopathological factors, overall survival (OS), recurrence-free survival (RFS), and sites of initial recurrence, including peritoneal recurrence, were evaluated. Staging was performed according to the American Joint Committee on Cancer 7th edition. RESULTS High mesothelin expression was observed in 49.7% of patients and significantly associated with high pathologic T (p = .021) and peritoneal recurrence (p = .018). Multivariate survival analysis showed that high mesothelin expression was independently associated with poor RFS (p = .001), OS (p = .001), and peritoneal recurrence (p = .002) in addition to stage, lymphovascular invasion, and Lauren classification. In a subgroup analysis of peritoneal recurrence, high mesothelin expression was also an independent prognostic factor in stage III (p = .013) and diffuse/mixed type gastric cancer (p = .010). CONCLUSION High mesothelin expression is correlated with poor outcomes. In addition, mesothelin expression, Lauren classification, and stage are meaningful predictive factors for peritoneal recurrence. Moreover, mesothelin was a significant predictor of a high risk of peritoneal recurrence in patients with stage III gastric cancer. IMPLICATIONS FOR PRACTICE This study demonstrates that high mesothelin expression correlates with poor outcomes and is a significant predictor of peritoneal recurrence in patients with stage III gastric cancer. This study provides instrumental evidence for designing anti-mesothelin antibody-drug conjugate clinical trials in patients with diffuse-type gastric cancer to reduce their high risk of peritoneal carcinomatosis.
Variation in sequence dynamics improves maintenance of stereotyped behavior in an example from bird song

Significance In this work, we show a way by which the nervous system maintains precise, stereotyped behavior in the face of environmental and neural changes. Through a model of bird song learning, we show how instability in neural representation of stable behavior can allow a system to more readily adapt and maintain performance with minimal cost. In this perspective, behaviors are made more robust to environmental change by continually seeking subtly new ways of performing the same task. Thus, one should expect to find variability in neural systems executing stereotyped behaviors, and this variability can serve a constructive role in maintaining skilled behavior. Performing a stereotyped behavior successfully over time requires both maintaining performance quality and adapting efficiently to environmental or physical changes affecting performance. The bird song system is a paradigmatic example of learning a stereotyped behavior and therefore is a good place to study the interaction of these two goals. Through a model of bird song learning, we show how instability in neural representation of stable behavior confers advantages for adaptation and maintenance with minimal cost to performance quality. A precise, temporally sparse sequence from the premotor nucleus HVC is crucial to the performance of song in songbirds. We find that learning in the presence of sequence variations facilitates rapid relearning after shifts in the target song or muscle structure and results in decreased error with neuron loss. This robustness is due to the prevention of the buildup of correlations in the learned connectivity. In the absence of sequence variations, these correlations grow, due to the relatively low dimensionality of the exploratory variation in comparison with the number of plastic synapses. Our results suggest one would expect to see variability in neural systems executing stereotyped behaviors, and this variability is an advantageous feature rather than a challenge to overcome.
From ‘Cool Science’ to Changing the World: the Opportunity to Support Pre-startup Science Commercialisation Through Ethnography and Human- centred Design

Introducing an emerging context for human-centred design work, this paper extends previous EPIC literature on startup innovation upstream into university science commercialisation. It provides new perspectives on how the human-centred design community can engage with scientific models of agency to inform broader engagement with the innovation and design challenges inherent in ‘intelligent’ technologies, and offers the challenge of engaging with and developing empathy for the dispositions of scientist innovators as a new vantage point from which to reflect on our core strength as facilitators of cross-disciplinary collaboration for innovation and design.
Outcomes of liver transplantation for acute fatty liver disease of pregnancy

Acute fatty liver of pregnancy (AFLP) often resolves after pregnancy delivery but can progress to acute liver failure necessitating liver transplantation. We performed a retrospective review of the national Scientific Registry of Transplant Recipients (SRTR) data to identify all women in the United States undergoing liver transplantation (LT) for acute liver failure (ALF) from AFLP from 1991 to 2015, and compared to outcomes in women of childbearing age undergoing transplant for ALF from acetaminophen and ALF from other etiologies. Women with AFLP were likely to be on life support at time of LT and had high rates of renal dysfunction (median Cr 2.1, IQR 1.2‐2.3), and hyperbilirubinemia (median bilirubin 17.1, IQR 11.0, 19.9). Although their early and late LT survival outcomes were comparable to the other indications for LT, cumulative 5‐year graft survival was numerically lower among AFLP patients (54%, 95% CI, 27‐76) compared to APAP (70%, 95% CI, 63‐77) and “Other ALF” (76%, 95% CI, 72‐80) groups. In conclusion, although AFLP is a rare indication for LT, AFLP patients were as sick or sicker than other women of childbearing age undergoing LT for ALF. Worsened graft survival may be related to higher rates of rejection in the AFLP group.
Estimation of the Required Lipoprotein(a)-Lowering Therapeutic Effect Size for Reduction in Coronary Heart Disease Outcomes: A Mendelian Randomization Analysis.

Importance Genetic and epidemiologic data suggest that lipoprotein(a) (Lp[a]) is one of the strongest genetically determined risk factors for coronary heart disease (CHD). Specific therapies to lower Lp(a) are on the horizon, but the required reduction of Lp(a) to translate into clinically relevant lowering of CHD outcomes is a matter of debate. Objective To estimate the required Lp(a)-lowering effect size that may be associated with a reduction of CHD outcomes compared with the effect size of low-density lipoprotein cholesterol (LDL-C)-lowering therapies. Design, Setting, and Participants Genetic epidemiologic study using a mendelian randomization analysis to estimate the required Lp(a)-lowering effect size for a clinically meaningful effect on outcomes. We used the effect estimates for Lp(a) from a genome-wide association study (GWAS) and meta-analysis on Lp(a) published in 2017 of 5 different primarily population-based studies of European ancestry. All Lp(a) measurements were performed in 1 laboratory. Genetic estimates for 27 single-nucleotide polymorphisms on Lp(a) concentrations were used. Odds ratios for these 27 single-nucleotide polymorphisms associated with CHD risk were retrieved from a subsample of the CHD Exome+ consortium. Exposures Genetic LPA score, plasma Lp(a) concentrations, and observations of statin therapies on CHD outcomes. Main Outcomes and Measures Coronary heart disease. Results The study included 13 781 individuals from the Lp(a)-GWAS-Consortium from 5 primarily population-based studies and 20 793 CHD cases and 27 540 controls from a subsample of the CHD Exome+ consortium. Four of the studies were similar in age distribution (means between 51 and 59 years), and 1 cohort was younger; mean age, 32 years. The frequency of women was similar between 51% and 55%. We estimated that the required reduction in Lp(a) effect size would be 65.7 mg/dL (95% CI, 46.3-88.3) to reach the same potential effect on clinical outcomes that can be reached by lowering LDL-C by 38.67 mg/dL (to convert to millimoles per liter, multiply by 0.0259). Conclusions and Relevance This mendelian randomization analysis estimated a required Lp(a)-lowering effect size of 65.7 mg/dL to reach the same effect as a 38.67-mg/dL lowering of LDL-C. However, this estimate is determined by the observed effect estimates of single-nucleotide polymorphisms on Lp(a) concentrations and is therefore influenced by the standardization of the Lp(a) assay used. As a consequence, calculations of the required Lp(a)-lowering potential of a drug to be clinically effective might have been overestimated in the past.
Properties of face localizer activations and their application in functional magnetic resonance imaging (fMRI) fingerprinting

Functional localizers are particularly prevalent in functional magnetic resonance imaging (fMRI) studies concerning face processing. In this study, we extend the knowledge on face localizers regarding four important aspects: First, activation differences in occipital and fusiform face areas (OFA/FFA) and amygdala are characterized by increased activation while precuneus and medial prefrontal cortex show decreased deactivation to faces versus control stimuli. The face-selective posterior superior temporal sulcus is a hybrid area exhibiting increased activation within its inferior and decreased deactivation within its superior part. Second, the employed control stimuli can impact on whether a region is classified in group analyses as face-selective or not. We specifically investigated this for recently described cytoarchitectonic subregions of the fusiform cortex (FG-2/FG-4). Averaged activity across voxels in FG-4 was stronger for faces than objects, houses, or landscapes. In FG-2, averaged activity was only significantly stronger in comparison with landscapes, but small peaks within this area were detected for comparison versus objects and houses. Third, reproducibility of individual peak activations is excellent for right FFA and quite good for right OFA, whereas within all other areas it was too low to provide valid information on time-invariant individual peaks. Finally, the fine-grained spatial activation patterns in right OFA and FFA are both time-invariant within each individual and sufficiently different between individuals to enable identification of individual participants with near-perfect precision (fMRI fingerprinting).
Comparative Study of Relative-Pose Estimations from a Monocular Image Sequence in Computer Vision and Photogrammetry †

Techniques for measuring the position and orientation of an object from corresponding images are based on the principles of epipolar geometry in the computer vision and photogrammetric fields. Contributing to their importance, many different approaches have been developed in computer vision, increasing the automation of the pure photogrammetric processes. The aim of this paper is to evaluate the main differences between photogrammetric and computer vision approaches for the pose estimation of an object from image sequences, and how these have to be considered in the choice of processing technique when using a single camera. The use of a single camera in consumer electronics has enormously increased, even though most 3D user interfaces require additional devices to sense 3D motion for their input. In this regard, using a monocular camera to determine 3D motion is unique. However, we argue that relative pose estimations from monocular image sequences have not been studied thoroughly by comparing both photogrammetry and computer vision methods. To estimate motion parameters characterized by 3D rotation and 3D translations, estimation methods developed in the computer vision and photogrammetric fields are implemented. This paper describes a mathematical motion model for the proposed approaches, by differentiating their geometric properties and estimations of the motion parameters. A precision analysis is conducted to investigate the main characteristics of the methods in both fields. The results of the comparison indicate the differences between the estimations in both fields, in terms of accuracy and the test dataset. We show that homography-based approaches are more accurate than essential-matrix or relative orientation–based approaches under noisy conditions.
Extracellular Vesicles and Carried miRNAs in the Progression of Renal Cell Carcinoma

The formation and maintenance of renal cell carcinomas (RCC) involve many cell types, such as cancer stem and differentiated cells, endothelial cells, fibroblasts and immune cells. These all contribute to the creation of a favorable tumor microenvironment to promote tumor growth and metastasis. Extracellular vesicles (EVs) are considered to be efficient messengers that facilitate the exchange of information within the different tumor cell types. Indeed, tumor EVs display features of their originating cells and force recipient cells towards a pro-tumorigenic phenotype. This review summarizes the recent knowledge related to the biological role of EVs, shed by renal tumor cells and renal cancer stem cells in different aspects of RCC progression, such as angiogenesis, immune escape and tumor growth. Moreover, a specific role for renal cancer stem cell derived EVs is described in the formation of the pre-metastatic niche. We also highlight the tumor EV cargo, especially the oncogenic miRNAs, which are involved in these processes. Finally, the circulating miRNAs appear to be a promising source of biomarkers in RCC.
Vibrational Properties of Pd Nanocubes

The atomic disorder and the vibrational properties of Pd nanocubes have been studied through a combined use of X-ray diffraction and molecular dynamics simulations. The latter show that the trend of the mean square relative displacement as a function of the radius of the coordination shells is characteristic of the nanoparticle shape and can be described by a combined model: A correlated Debye model for the thermal displacement and a parametric expression for the static disorder. This combined model, supplemented by results of line profile analysis of the diffraction patterns collected at different temperatures (100, 200, and 300 K) can explain the observed increase in the Debye–Waller coefficient, and shed light on the effect of the finite domain size and of the atomic disorder on the vibrational properties of metal nanocrystals.
Economic implications of single cost driver systems

We subject claims about the benefits of activity-based costing systems to the scrutiny of analytical models incorporating rational behavior by users of product costing systems. We find that a monopolist Is almost always strictly better off using multiple cost drivers as in an activity-based costing (ABC) system even when the system makes measurement errors in assigning overhead costs to activities. More importantly, we show that this result replicates for firms competing in an oligopoly when the cost and demand parameters are in steady state. The firms are strictly better off using a direct labor based single cost driver (SCO) system, however, if the demand for the overcosted labor intensive product is expected to grow sufficiently relative to the demand for the undercosted setup intensive product. This suggests that, facing imperfect competition, it is sometimes optimal for firms to persist in using a single cost driver system rather than switching to an activity-based cost system. • u>
Small-Area Radiofrequency-Energy-Harvesting Integrated Circuits for Powering Wireless Sensor Networks

This study presents a radiofrequency (RF)-energy-harvesting integrated circuit (IC) for powering wireless sensor networks with a wireless transmitter with an industrial, scientific, and medical (ISM) of 915 MHz. The proposed IC comprises an RF-direct current (DC) rectifier, an over-voltage protection circuit, a low-power low-dropout (LDO) voltage regulator, and a charger control circuit. In the RF-DC rectifier circuit, a six-stage Dickson voltage multiplier circuit is used to improve the received RF signal to a DC voltage by using native MOS with a small threshold voltage. The over-voltage protection circuit is used to prevent a high-voltage breakdown phenomenon from the RF front-end circuit, particularly for near-field communication. A low-power LDO regulator is designed to provide stable voltage by using zero frequency compensation and a voltage-trimming feedback. Charging current is amplified N times by using a current mirror to rapidly and stably charge a battery in the proposed charger control circuit. The obtained results revealed that the maximum power conversion efficiency of the proposed RF-energy-harvesting IC was 40.56% at an input power of −6 dBm, an output voltage of 1.5 V, and a load of 30 kΩ. A chip area of the RF-energy-harvesting IC was 0.58 × 0.49 mm2, including input/output pads, and power consumption was 42 μW.
A Slow-Digesting Carbohydrate Diet during Rat Pregnancy Protects Offspring from Non-Alcoholic Fatty Liver Disease Risk through the Modulation of the Carbohydrate-Response Element and Sterol Regulatory Element Binding Proteins

High-fat (HF) and rapid digestive (RD) carbohydrate diets during pregnancy promote excessive adipogenesis in offspring. This effect can be corrected by diets with similar glycemic loads, but low rates of carbohydrate digestion. However, the effects of these diets on metabolic programming in the livers of offspring, and the liver metabolism contributions to adipogenesis, remain to be addressed. In this study, pregnant insulin-resistant rats were fed high-fat diets with similar glycemic loads but different rates of carbohydrate digestion, High Fat-Rapid Digestive (HF–RD) diet or High Fat-Slow Digestive (HF–SD) diet. Offspring were fed a standard diet for 10 weeks, and the impact of these diets on the metabolic and signaling pathways involved in liver fat synthesis and storage of offspring were analyzed, including liver lipidomics, glycogen and carbohydrate and lipid metabolism key enzymes and signaling pathways. Livers from animals whose mothers were fed an HF–RD diet showed higher saturated triacylglycerol deposits with lower carbon numbers and double bond contents compared with the HF–SD group. Moreover, the HF–RD group exhibited enhanced glucose transporter 2, pyruvate kinase (PK), acetyl coenzyme A carboxylase (ACC) and fatty acid (FA) synthase expression, and a decrease in pyruvate carboxylase (PyC) expression leading to an altered liver lipid profile. These parameters were normalized in the HF–SD group. The changes in lipogenic enzyme expression were parallel to changes in AktPKB phosphorylation status and nuclear expression in carbohydrate-response element and sterol regulatory element binding proteins. In conclusion, an HF–RD diet during pregnancy translates to changes in liver signaling and metabolic pathways in offspring, enhancing liver lipid storage and synthesis, and therefore non-alcoholic fatty liver disease (NAFLD) risk. These changes can be corrected by feeding an HF–SD diet during pregnancy.
Rest Evaluation for Active Concussion Treatment (ReAct) Protocol: a prospective cohort study of levels of physical and cognitive rest after youth sports-related concussion

Introduction Although current guidelines for the early clinical management of sports-related concussion (SRC) call for a gradual return-to-activity, the optimal level of rest needed to promote recovery remains unknown. This paper describes the protocol of the Rest Evaluation for Active Concussion Treatment (ReAct) study which objectively measures physical and cognitive rest following SRC and its relation to recovery among youth athletes. Methods and analysis Youth athletes aged 11–17 years are recruited preinjury and enrolled within 72 hours following a physician-diagnosed concussion. Injury information and acute clinical presentation are assessed at the time of injury. Youth participants are prospectively followed to objectively monitor daily physical and cognitive rest using two electronic devices: ActiGraph (to measure physical rest and sleep) and Narrative Clip (to measure cognitive rest), along with self-reported postconcussive symptoms using daily surveys. Other concussion outcomes, including functional outcomes, are assessed by surveying youth and their parents at three time points: (1) within 72 hours of injury, (2) at day 7 postenrolment and (3) at symptom resolution (or a maximum of 45 days postconcussion). Ethics and dissemination This study has received ethical approval from the Institutional Review Board (IRB) at the participating institution (IRB at Nationwide Children’s Hospital, IRB16-00613). The results of the study will be presented at national and international scientific conferences and published in peer-reviewed journals.
Outcomes of open heart surgery in patients with end-stage renal disease

Background Cardiovascular diseases of chronic dialysis patients are often undertreated because of their higher surgical risk. This study aimed to assess mortality and morbidity after open heart surgery in chronic dialysis patients compared to those with normal renal function and identify risk factors for postoperative outcomes. Methods We retrospectively analyzed 2,432 patients who underwent open heart surgery from 2002 to 2017 and collected data from 116 patients (38 patients on dialysis and 78 age-, sex-, and diabetes mellitus status-matched control patients with normal kidney function). We assessed comorbidities, New York Heart Association (NYHA) class, laboratory data, surgical methods, and postoperative outcomes. Results The dialysis group had more comorbidities, higher NYHA classes, and greater need for urgent surgeries compared to the control group. They exhibited significantly higher postoperative mortality (18.4% vs. 2.6%, P = 0.005) and more overall complications (65.8% vs. 25.6%, P < 0.001). Dialysis itself significantly increased relative risk for in-hospital mortality after adjustment. EuroSCORE II was not as useful as in the general population. Multivariate logistic regression analysis demonstrated that total (adjusted odds ratio [AOR], 10.7; P = 0.029) and in-hospital death risk (AOR, 14.7; P = 0.033), the durations of postoperative hospitalization (AOR, 4.6; P = 0.034), CRRT (AOR 36.8; P = 0.004), and ventilator use (AOR, 7.6; P = 0.022) were significantly increased in the dialysis group. Conclusion The dialysis group exhibited a higher risk for mortality and overcall complications after open heart surgery compared to the patients with normal renal function. Therefore, the benefit of surgical treatment must be balanced against potential risks.