Miracle-dz/UniFAR-FTUs huggingface dataset:
Variant Anatomy Of Greater Splanchnic Nerve

Background: Thoracic splanchnicectomy is an important surgical procedure for the management of upper abdominal pain especially in cases of chronic pancreatitis or pancreatic cancer. The pattern of the thoracic splanchnic nerves is highly variable and the outcome of the surgical procedure depends on awareness of the variant anatomy of thoracic splanchnic nerves. This study was undertaken to find out the variations in the formation, course and termination of greater splanchnic nerve in South Indian population. Materials & Methods: Thirty five human cadavers of either sex (female12, male -23), between 45 and 70 years of age, embalmed by conventional method for undergraduate Anatomy classes were bilaterally dissected. Greater splanchnic nerve was studied with regard to its formation, course and termination. Results: Greater Splanchnic nerve was present in all the specimens. In 41.4%, the highest root of origin was T6 ganglion and in 35.7% of the cases, the lowest root of origin was T9 ganglion. The greater splanchnic nerve passed through the diaphragm and terminated in celiac ganglion and partly in suprarenal gland, aortic-renal ganglia or renal plexus. Conclusion: The authors hope that the detailed anatomy of the greater splanchnic nerve provided in the present study will be helpful for students as well as surgeons for a better outcome of the thoracic splanchnicectomy.
DÉPARTEMENT DE SCIENCE ÉCONOMIQUE DEPARTMENT OF ECONOMICS CAHIERS DE RECHERCHE & WORKING PAPERS

This paper introduces a new type of R&D subsidy, which is conditional on the success of the R&D project. In a threestage model, the government chooses a subsidy(ies) in the first stage; in the second stage, a monopolist chooses R&D effort which determines the size or the probability of success of the R&D project; in the last stage, the firm chooses its output. It is found that conditional subsidies can yield the same level of innovation and welfare as unconditional subsidies. However, when the probability of success is sufficiently low (be it endogenous or exogenous), conditional subsidies yield suboptimal levels of innovation and welfare. When the firm chooses the probability of success, conditional subsidies can have the advantage of a lower expected cost of the subsidy to the government. I consider the simultaneous use of conditional and unconditional subsidies, and show that different combinations of the two can lead to the same levels of innovation and welfare as unconditional subsidies alone. Finally, reverse conditional subsidies, which the firm gets only if the project fails, are considered. It is found that they yield the same level of innovation as unconditional subsidies, except when the probability of success is sufficiently high. Comparing conditional subsidies with reverse conditional subsidies, conditional subsidies yield higher (lower) welfare when the probability of success is high (low).
IL4 from T Follicular Helper Cells Downregulates Antitumor Immunity

The source and role of IL4 in tumors is not clear. T follicular helper cells in the tumor-draining lymph nodes produced most of the IL4, which profoundly influenced the tumor microenvironment, enhancing M2-macrophage polarization and suppressing antitumor immunity. Immune cells constitute a large fraction of the tumor microenvironment and modulate tumor progression. Clinical data indicate that chronic inflammation is present at tumor sites and that IL4 in particular is upregulated. Here, we demonstrate that T follicular helper (Tfh) cells arise in tumor-draining lymph nodes where they produce an abundance of IL4. Deletion of IL4-expressing Tfh cells improves antitumor immunity, delays tumor growth, and reduces the generation of immunosuppressive myeloid cells in the lymph nodes. These findings suggest that IL4 from Tfh cells affects antitumor immunity and constitutes an attractive therapeutic target to reduce immunosuppression in the tumor microenvironment, and thus enhance the efficacy of cancer immunotherapy. Cancer Immunol Res; 5(1); 61–71. ©2016 AACR.
Guided Testing of Concurrent Programs Using Value Schedules

Testing concurrent programs remains a difficult task due to the non-deterministic nature of concurrent execution. Many approaches have been proposed to tackle the complexity of uncovering potential concurrency bugs. Static analysis tackles the problem by analyzing a concurrent program looking for situations/patterns that might lead to possible errors during execution. In general, static analysis cannot precisely locate all possible concurrent errors. Dynamic testing examines and controls a program during its execution also looking for situations/patterns that might lead to possible errors during execution. In general, dynamic testing needs to examine all possible execution paths to detect all errors, which is intractable. Motivated by these observation, a new testing technique is developed that uses a collaboration between static analysis and dynamic testing to find the first potential error but using less time and space. In the new collaboration scheme, static analysis and dynamic testing interact iteratively throughout the testing process. Static analysis provides coarse-grained flow-information to guide the dynamic testing through the relevant search space, while dynamic testing collects concrete runtime-information during the guided exploration. The concrete runtime-information provides feedback to the static analysis to refine its analysis, which is then feed forward to provide more precise guidance of the dynamic testing. The new collaborative technique is able to uncover the first concurrency-related bug in a program faster using less storage than the state-of-the-art dynamic testing-tool Java PathFinder. The implementation of the collaborative technique consists of a static-analysis module based on Soot and a dynamic-analysis module based on Java PathFinder.
Multiple reciprocal adaptations and rapid genetic change upon experimental coevolution of an animal host and its microbial parasite

The coevolution between hosts and parasites is predicted to have complex evolutionary consequences for both antagonists, often within short time periods. To date, conclusive experimental support for the predictions is available mainly for microbial host systems, but for only a few multicellular host taxa. We here introduce a model system of experimental coevolution that consists of the multicellular nematode host Caenorhabditis elegans and the microbial parasite Bacillus thuringiensis. We demonstrate that 48 host generations of experimental coevolution under controlled laboratory conditions led to multiple changes in both parasite and host. These changes included increases in the traits of direct relevance to the interaction such as parasite virulence (i.e., host killing rate) and host resistance (i.e., the ability to survive pathogens). Importantly, our results provide evidence of reciprocal effects for several other central predictions of the coevolutionary dynamics, including (i) possible adaptation costs (i.e., reductions in traits related to the reproductive rate, measured in the absence of the antagonist), (ii) rapid genetic changes, and (iii) an overall increase in genetic diversity across time. Possible underlying mechanisms for the genetic effects were found to include increased rates of genetic exchange in the parasite and elevated mutation rates in the host. Taken together, our data provide comprehensive experimental evidence of the consequences of host–parasite coevolution, and thus emphasize the pace and complexity of reciprocal adaptations associated with these antagonistic interactions.
Aqueous extract of Ilex paraguariensis attenuates the progression of atherosclerosis in cholesterol‐fed rabbits

Ilex paraguariensis aqueous extract (mate) is an antioxidant‐rich beverage widely consumed in South American countries. Here we questioned whether mate could reduce the progression of atherosclerosis in 1% cholesterol‐fed rabbits. New Zealand White male rabbits (n = 32) were divided into four groups: control (C, n = 5), control‐mate (CM, n = 5), hypercholesterolemic (HC, n = 11) and hypercholesterolemic‐mate (HCM, n = 11). The daily water and mate extract consumption was approximately 400 ml. After 2 months of treatment, mate intake did not change the lipid profile or hepatic cholesterol content of control or hypercholesterolemic rabbits (p< 0.05). However, the atherosclerotic lesion area was considerably smaller in the hypercholesterolemic‐mate group (HCM, 35.4% vs. HC, 60.1%; p<0.05). In addition, the aortic cholesterol content was around half that of the HC group (HCM, 36.8 vs. HC, 73.9 μ/mg of protein, p<0.05). In spite of this, the thiobarbituric acid‐reactive substances (TBARS) in the atherosclerotic aorta, liver and serum, and the activity of the antioxidant enzymes in liver and aorta did not differ among groups (p>0.05). The results showed that Ilex paraguariensis extract can inhibit the progression of atherosclerosis in cholesterol‐fed rabbits, although it did not decrease the serum cholesterol or aortic TBARS and antioxidant enzymes.
A robust gender inference model for online social networks and its application to LinkedIn and Twitter

Online social networking services have come to dominate the dot com world: Countless online communities coexist on the social Web. Some typically characteristic user attributes, such as gender, age group, sexual orientation, are not automatically part of the profile information. In some cases user attributes can even be deliberately and maliciously falsified. This paper examines automated inference of gender on online social networks by analyzing written text with a combination of natural language processing and classification techniques. Extensive experimentation on LinkedIn and Twitter has yielded accuracy of this gender identification technique of up to 98.4 percent.
Zoonotic Potential of the Microsporidia

SUMMARY Microsporidia are long-known parasitic organisms of almost every animal group, including invertebrates and vertebrates. Microsporidia emerged as important opportunistic pathogens in humans when AIDS became pandemic and, more recently, have also increasingly been detected in otherwise immunocompromised patients, including organ transplant recipients, and in immunocompetent persons with corneal infection or diarrhea. Two species causing rare infections in humans, Encephalitozoon cuniculi and Brachiola vesicularum, had previously been described from animal hosts (vertebrates and insects, respectively). However, several new microsporidial species, including Enterocytozoon bieneusi, the most prevalent human microsporidian causing human immunodeficiency virus-associated diarrhea, have been discovered in humans, raising the question of their natural origin. Vertebrate hosts are now identified for all four major microsporidial species infecting humans (E. bieneusi and the three Encephalitozoon spp.), implying a zoonotic nature of these parasites. Molecular studies have identified phenotypic and/or genetic variability within these species, indicating that they are not uniform, and have allowed the question of their zoonotic potential to be addressed. The focus of this review is the zoonotic potential of the various microsporidia and a brief update on other microsporidia which have no known host or an invertebrate host and which cause rare infections in humans.
Passé, présent, futurs : induction de carrières professionnelles à partir de CV

Extracting, structuring and exploiting information from freeform text is a difficult task. Learning embeddings with chosen properties and going beyond simple syntax encoding contributed to significant improvements in semantic analysis. Recently, the focus has shifted from word and document embeddings to reasoning in order to infer or predict new knowledge. In this paper, we focus on job & educational background embeddings that are learned from a large CV corpus. We aim at modeling users careers and forecasting their choices. Inspired by recent work in machine translation, we design a Recurrent Neural Network architecture to normalize job & qualification titles. Once this semantic step achieved, we build another RNN to predict position chaining in CV. MOTS-CLÉS : Apprentissage de représentations, Réseaux de neurones, Recommandation.
Indoor user localization using particle filter and NLOS ranging model

User localization is one of the key technologies for mobile robots to successfully interact with humans. Among various localization methods using radio frequency (RF) signals, time of arrival (TOA) based localization is popular since the target coordinates can be directly calculated from the accurate range measurements. In complex indoor environment, however, RF-ranging-based localization is quite challenging since the range measurements suffer not only from signal noise but also from signal blockages and reflections. A set of range measurements taken in complex indoor environment verifies that almost all measurements are nonline-of-sight (NLOS) ranges which have striking difference to the line-of-sight (LOS) distances. These NLOS range measurements make severe degradation in the accuracy of trilateration based localizations if used without any compensation. In this paper we propose a particle filter based localization algorithm which exploits indoor geometry from the given map to estimate the NLOS signal path and compensate the range measurements. The algorithm is verified with experiments performed in real indoor environments.
Neuroblastoma Patients' KIR and KIR-Ligand Genotypes Influence Clinical Outcome for Dinutuximab-based Immunotherapy: A Report from the Children's Oncology Group

Purpose: In 2010, a Children's Oncology Group (COG) phase III randomized trial for patients with high-risk neuroblastoma (ANBL0032) demonstrated improved event-free survival (EFS) and overall survival (OS) following treatment with an immunotherapy regimen of dinutuximab, GM-CSF, IL2, and isotretinoin compared with treatment with isotretinoin alone. Dinutuximab, a chimeric anti-GD2 monoclonal antibody, acts in part via natural killer (NK) cells. Killer immunoglobulin-like receptors (KIR) on NK cells and their interactions with KIR-ligands can influence NK cell function. We investigated whether KIR/KIR-ligand genotypes were associated with EFS or OS in this trial. Experimental Design: We genotyped patients from COG study ANBL0032 and evaluated the effect of KIR/KIR-ligand genotypes on clinical outcomes. Cox regression models and log-rank tests were used to evaluate associations of EFS and OS with KIR/KIR-ligand genotypes. Results: In this trial, patients with the “all KIR-ligands present” genotype as well as patients with inhibitory KIR2DL2 with its ligand (HLA-C1) together with inhibitory KIR3DL1 with its ligand (HLA-Bw4) were associated with improved outcome if they received immunotherapy. In contrast, for patients with the complementary KIR/KIR-ligand genotypes, clinical outcome was not significantly different for patients who received immunotherapy versus those receiving isotretinoin alone. Conclusions: These data show that administration of immunotherapy is associated with improved outcome for neuroblastoma patients with certain KIR/KIR-ligand genotypes, although this was not seen for patients with other KIR/KIR-ligand genotypes. Further investigation of KIR/KIR-ligand genotypes may clarify their role in cancer immunotherapy and may enable KIR/KIR-ligand genotyping to be used prospectively for identifying patients likely to benefit from certain cancer immunotherapy regimens. Clin Cancer Res; 24(1); 189–96. ©2017 AACR. See related commentary by Cheung and Hsu, p. 3
Acinar structure in symptom-free adults by Helium-3 magnetic resonance.

RATIONALE The apparent diffusion coefficient of hyperpolarized (3)He in the lungs has been shown to correlate directly in animal models with the peripheral airspace size and can detect changes in lung microstructure. OBJECTIVES To study in vivo the (3)He apparent diffusion coefficient and to demonstrate its sensitivity to changes in lung morphometry as a result of aging, exposure to cigarette smoke, and lung inflation. METHODS We assessed the variation in the diffusion of hyperpolarized (3)He gas in the lungs by magnetic resonance techniques. Spirometric lung volumes were recorded. MEASUREMENTS We measured the dependence of (3)He diffusion on age and on reported cigarette smoke exposure in 32 symptom-free adults. We also measured the dependence of the apparent diffusion coefficient on the degree of lung inflation. RESULTS In healthy never-smokers, the apparent diffusion coefficient increased with age from 0.115 to 0.155 cm(2) . s(-1) at 20 and 70 yr, respectively, increased linearly with lung inflation and was independent of individual's lung size after correcting for age. For active and passive smokers, the apparent diffusion coefficient increased by up to 40% compared with never-smokers with mean values significantly higher (p=0.016 and p=0.0007, respectively). CONCLUSIONS Peripheral airspace size increases with age and after exposure to smoke in healthy adults in agreement with previous histologic studies. We have confirmed in vivo that peripheral airspace size is independent of intersubject lung size.
Research on Coal Exploration Technology Based on Satellite Remote Sensing

Coal is the main source of energy. In China and Vietnam, coal resources are very rich, but the exploration level is relatively low. This is mainly caused by the complicated geological structure, the low efficiency, the related damage, and other bad situations. To this end, we need to make use of some advanced technologies to guarantee the resource exploration is implemented smoothly and orderly. Numerous studies show that remote sensing technology is an effective way in coal exploration and measurement. In this paper, we try to measure the distribution and reserves of open-air coal area through satellite imagery. The satellite picture of open-air coal mining region in Quang Ninh Province of Vietnam was collected as the experimental data. Firstly, the ENVI software is used to eliminate satellite imagery spectral interference. Then, the image classification model is established by the improved ELM algorithm. Finally, the effectiveness of the improved ELM algorithm is verified by using MATLAB simulations. The results show that the accuracies of the testing set reach 96.5%. And it reaches 83% of the image discernment precision compared with the same image from Google.
ClpP of Bacillus subtilis is required for competence development, motility, degradative enzyme synthesis, growth at high temperature and sporulation

The nucleotide sequence of the Bacillus subtilis clpP gene was determined. The predicted protein shows very high similarity to members of the ClpP family of proteolytic subunits (68% amino acid sequence identity with that of Escherichia coli ). We show that ClpP plays an essential role in stationary phase adaptive responses. Indeed, a ΔclpP mutant was constructed and shown to display a pleiotropic phenotype, including a deficiency in both sporulation initiation and competence for DNA uptake. The ΔclpP mutant has a highly filamentous morphology and appears to be non‐motile, as judged by swarm plate assays. Expression of clpP is strongly induced under heat shock conditions, and ClpP is shown to be essential for growth of B. subtilis at high temperature. The role of ClpP in the sporulation and competence regulatory pathways was investigated. ClpP is required for expression of the spoIIA and spoIIG operons, encoding the σF andσE sporulation‐specific sigma factors. ClpP is also necessary for the expression of the comK gene, encoding a positive transcriptional regulator of competence genes. ComK‐dependent transcription of sacB, encoding the exocellular degradative enzyme levansucrase, was found to be abolished in the ΔclpP mutant. MecA has been characterized previously as a negative regulator of comK expression, whose overproduction inhibits both sporulation and competence development. Expression of a mecA′–′lacZ translational fusion is shown to be increased in the ΔclpP mutant. We suggest that ClpP is involved in controlling MecA levels in the cell through proteolysis. Increased levels of MecA in the absence of ClpP are at least partly responsible for the observed pleiotropic phenotype of the ΔclpP mutant.
Regulation of the isozymes of protein kinase C in the surviving rat myocardium after myocardial infarction: distinct modulation for PKC-alpha and for PKC-delta.

OBJECTIVE The goal of this study was to clarify the regulation of the isozymes of protein kinase C (PKC) in the process of remodeling after myocardial infarction. METHODS An in vivo model of regional myocardial infarction induced by ligation of the left anterior coronary artery in rats was used. Hemodynamic parameters and the heart and lung weights were determined 1 week and 1, 2 and 3 months after operation. In transmural biopsies from the non-ischemic left ventricular wall of the infarcted heart, PKC activity (ELISA) and the expression of its major isozymes, PKC-alpha, PKC-delta and PKC-epsilon (Westernblot analysis) were determined. RESULTS As early as one week after myocardial infarction, heart weight and left ventricular enddiastolic pressures were significantly increased. Lung weights increased after 2 - 3 months, indicating progressive pulmonary congestion. The activity of PKC was significantly increased about 1.8-fold after 1 week, decreasing progressively in the later time course. Whereas the expression of PKC-epsilon did not change, PKC-alpha was increased after 1 month (157%) and then returned to baseline values. In contrast, PKC-delta expression was significantly augmented after 2 and 3 months of myocardial infarction (187%). CONCLUSIONS These data demonstrate for the first time that in the remodeling heart after myocardial infarction, a subtype-selective regulation of the PKC isozymes occurs: The upregulation of PKC-alpha coincides with the development of hypertrophy, whereas the extensive upregulation of PKC-delta outlasts the process of developing hypertrophy and persists in the failing heart. The trigger mechanisms for this newly characterized process remains to be elucidated.
Refined two-regression model for the ActiGraph accelerometer.

PURPOSE The purpose of this study was to refine the 2006 Crouter two-regression model to eliminate the misclassification of walking or running when starting an activity in the middle of a minute on the ActiGraph clock. METHODS Forty-eight participants (mean [SD] age = 35 [11.4] yr) performed 10-min bouts of various activities ranging from sedentary behaviors to vigorous physical activity. Eighteen activities were divided into three routines, and 20 participants performed each routine. Participants wore an ActiGraph accelerometer on the hip, and a portable indirect calorimeter was used to measure energy expenditure. Forty-five routines were used to develop the refined two-regression model, and 15 routines were used to cross validate the model. Coefficient of variation (CV) was used to classify each activity as continuous walking or running (CV < or = 10) or intermittent lifestyle activity (CV > 10). RESULTS An exponential regression equation and a cubic equation using the natural log of the 10-s counts were developed to predict METs every 10 s for walking or running and intermittent lifestyle activities, respectively. The refined method examines each 10-s epoch and all combinations of the surrounding five 10-s epochs to find the lowest CV. In the cross-validation group, the refined method was not significantly different from measured METs for any activity (P > 0.05), except cycling (P < 0.05). In addition, the 2006 and the refined two-regression models had similar accuracy and precision for estimating energy expenditure during structured activities. CONCLUSION The refined two-regression model should eliminate the misclassification of transitional minutes when changing activities that start and stop in the middle of a minute on the ActiGraph clock, thus improving the estimate of free-living energy expenditure.