Miracle-dz/UniFAR-FTUs huggingface dataset:
Neural basis of basic composition: what we have learned from the red–boat studies and their extensions

Language is our mind's most powerful generative system for the expression of meaning and thought. What are the neural mechanisms of our ability to compose complex meanings from simpler representations? This question is impossible to answer unless we decompose the notion of ‘meaning composition’ in some theoretically guided way and then begin to assess the extent to which brain activity tracks the posited subroutines. Here, I summarize results from a body of MEG research that has begun to address this question from the ground up, first focusing on simple combinations of two words. The work sets off with a hypothesis space offered by theoretical linguistics, positing syntactic and logico-semantic composition as the main combinatory routines, but then reveals that the most consistent and prominent reflection of composition, localized in the left anterior temporal cortex at 200–250 ms, cannot be described with this toolkit. Instead, this activity tracks a much more conceptually driven process, robustly sensitive to the density of the conceptual feature space of the composing items. I will describe our functional understanding of this activity and how it may operate within a broader ‘combinatory network. ’ This article is part of the theme issue ‘Towards mechanistic models of meaning composition’.
High serum CCL18 predicts a poor prognosis in patients with laryngeal squamous cell carcinoma

CCL18 is a cytokine secreted by M2 type tumor associated macrophages, which frequently over-expressed in diverse human cancers. However, the clinical significance of serum CCL18 in patients with laryngeal squamous cell carcinoma (LSCC) remains unknown. In this study, serum CCL18 was initially quantified by enzyme-linked immunosorbent assay (ELISA) in 146 patients with LSCC, 25 patients with precancerous lesions and 72 healthy volunteers. In addition, the correlations between serum CCL18 and clinicopathological parameters were analyzed. Our data revealed that serum CCL18 was obviously increased in patients with LSCC. Moreover, serum CCL18 level was significantly associated with primary tumor site (Glottic vs Others), T classification (T1+T2 vs T3+T4), clinical stage (I+II vs III+IV) and lymph node metastasis (N0 vs N+). Survival analysis demonstrated that patients with high serum CCL18 displayed a shorter survival time than those in patients with low serum CCL18. Importantly, serum CCL18 level and clinical stage were independent prognostic factors in patients with LSCC. Taken together, serum CCL18 could be used as a promising biomarker in patients with LSCC.
TREATMENT OF INTRA-ARTICULAR DISTAL RADIUS FRACTURES BY A COMBINED DYNAMIC AND STATIC JESS MINI EXTERNAL FIXATION TECHNIQUE

OBJECTIVES: The present study is conducted to evaluate the fracture healing and functional results of combined dynamic with static external fixator for comminuted distal radius fracture. Material and methods: Twenty three adult patients with twenty six comminuted distal radius fractures between age group of 21-67yrs were included. There were five Fry kman type 6, ten Frykman type 7 and eight Frykman type 8 fractures. Closed reduction with ligamentotaxis and percutaneous k-wire fixation was done. Wrist spanning mini external fixator was applied and the k- wires supporting the intra-articular reduction were incorporated into the fixator. The fixator was dynamized at 3 weeks by removing the metacarpal pins and cutting short the connecting rod. The dynamized frame was maintained for 3-6weeks. The patients were followed up for 1 year. Gartland and Werley scoring system was used to assess functional outcome. RESULTS: Average time to union was 7.4 weeks. 11 patients (48%) were rated as excellent, 9 (40%) rated as good and 3 (12%) as fair under Gartland and Werley score. CONCLUSION: Our technique of modified JESS fixator did demonstrate good anatomical restoration and early objective functional results.
The effect of 2,5-hexanedione on permeability of blood-nerve barrier in rats

To explore the effect of 2,5-hexanedione on permeability of blood-nerve barrier, adult Wistar rats were administered with 400 mg.kg—1.d— 1 2,5-hexanedione to establish animal model of 2,5-hexnedione neuropathy. Evans blue was injected through left femoral vein of the rats after the model had been established. The distribution of fluorescence in sciatic-tibial nerve was observed and assessed. For the transverse sections of sciatic-tibial nerves, the average fluorescence intensity of proximal section was stronger (p < .01) than those of intermediate and distal sections and the average fluorescence intensity of intermediate section was stronger (p < .01) than that of distal section in the intoxicated group. In the control, the weak fluorescence was shown, and average fluorescence intensity of distal section was stronger (p < .05) than that of proximal section. The average fluorescence intensity of proximal, intermediate and distal sections in the intoxicated group was stronger (p < .01) than those of the corresponding sections in the control. For the longitudinal sections of sciatic-tibial nerves, fluorescence was observed in both proximal and distal sections in the intoxicated group. The fluorescence intensity of distal section in the control was weak and almost no fluorescence was shown in the proximal section. The permeability of blood-nerve barrier could be increased by 2,5-hexanedione.
Cleaning Up Evidence‐Based Psychopharmacology

Learning Objectives After reading this article, the practitioner should be able to:Describe the likelihood that industry-sponsored continuing medical education will contain biases, both obvious and subtle.Recall the extent to which academic psychopharmacology is “owned” yb pharmaceutical companies.Explain the importance of joining a psychopharmacology journal club and increasing the practitioner's skills in reading the literature.
A case report

Rationale: Aggressive variant of splenic marginal zone lymphoma (AV-SMZL) is a very rare disease that is often associated with TP53 mutations and has a poor prognosis. On the other hand, recent advances in genome sequencing techniques enable us to understand the molecular characteristics of rare cancers such as AV-SMZL. Here we present a case of AV-SMZL analyzed using a genetic test. PatientConcerns:A 66-year-old woman was admitted with splenomegaly and lymphocytosis. Computed tomography revealed marked splenomegaly without lymphadenopathy in any other areas. The serum soluble interleukin-2 receptor (sIL-2R) level was significantly elevated. Peripheral and bone marrow blood tests showed an increase in abnormal lymphocytes. Diagnosis: A splenectomy revealed an SMZL pattern with increased numbers of large cells and mitotic cells and a high Ki-67 positivity rate, which led to a diagnosis of AV-SMZL. Although TP53 mutation was not detected, mutations in NOTCH2, NCOA4, PTEN, EPHA3, and KMT2D were identified. Among these, the mutations in NCOA4, PTEN, and EPHA3 were novel pathogenic mutations in SMZL, which suggests they may be related to the aggressiveness and persistence of the disease. Interventions: The patient was administered a rituximab-containing regimen and rituximab-maintenance therapy. Outcomes: The patient continues to exhibit a complete response. Lessons: This is a case of AV-SMZL in which a cancer panel test successfully detected genetic alterations that are potentially associated with its pathogenesis. These findings suggest that genetic analysis is useful for making diagnoses as well as for determining treatment strategies in AV-SMZL. Abbreviations: AV-SMZL = aggressive variant of splenic marginal zone lymphoma, CR = complete response.
Molecular Prognostic and Predictive Assays in Breast Cancer: A Practical Review

Abstract The last 2 decades have seen vast improvements in our understanding of breast cancer as a heterogeneous disease and in the treatment of breast cancer through targeted therapies. The risk stratification limits of current clinicopathologic and immunohistochemical parameters, however, continue to leave a significant number of patients with breast cancer at risk for overtreatment and undertreatment. This review discusses the impact of molecular studies on our current understanding of breast tumor pathogenesis and classification, recent developments in our understanding of tumor biology, new approaches to the search of new therapeutic targets, and practical insights into the validity and utility of commercially available multigene predictive molecular assays.
E-MAIL USE AND USEFULNESS: THE EFFECT OF MEDIA RICHNESS AND SOCIAL INFLUENCES

According to the perspectives of social constructivist, communication technology is not objective but a joint product of technological features and social interaction. This study is therefore tried to determine whether media richness perception, medium expertise factors and social influence factors do influence e-mail use and assessment behavior. The population of the study consisted of academic and non-academic staffs in one public university in Malaysia. This study used survey method (self-administered questionnaire) to collect data. The results showed that (1) the relationship between media (e-mail) richness perception and e-mail use and usefulness perception was significant, (2) keyboard skills was significant antecedent to media (e-mail) richness perception, and (3) social influences from co-workers and supervisors contributed significantly towards e-mail use and usefulness assessments of their peers. As a conclusion, it is crucial to consider both technological features and social interaction in planning, implementing and maintaining the use of communication technology in organization.
A New Mathematical Model for Integration of Cell Formation with Machine Layout and Cell Layout by Considering Alternative Process Routing Reliability; A Novel Hybrid Metaheuristic

Cellular manufacturing systems are still quite popular among researchers, and they have proposed metaheuristics capable to solve such complex optimization models. In this study, machines are considered unreliable whose lifespan follows a Weibull distribution. The intraand inter-cell movements of both parts and machines determined using batch sizes for transferring parts are related to the distances traveled through a rectilinear distance. The objectives of this study are to minimize the total cost of parts’ relocations and maximize the reliability of the processing routes due to alternative process routing. To solve the proposed problem, Genetic Algorithm (GA) and two recent natureinspired algorithms, including Keshtel Algorithm (KA) and Red Deer Algorithm (RDA), are employed. In addition, the main innovation of this paper is to propose a novel hybrid metaheuristic algorithm based on the benefits of the aforementioned algorithms. Some numerical instances are defined and solved by the proposed algorithms and, also, validated by the outputs of the exact solver. A real case study is also utilized to validate the proposed solution and modeling algorithms. The results indicate that the proposed hybrid algorithm is more appropriate than the exact solver and outperforms the individual ones.
STEREOSCOPIC IMAGE COMPRESSION USING CURVELET

Recent advancements in the field of stereoscopic image display brings up new challenges, especially in the transmission of images and their storage. This factor arises as in stereoscopy where two similar images with different phases are sent to the human brain to produce a 3D visual perception, the amount of space required for their transmission and storage is twice when compared to normal image display. Digital image compression is the sound solution to these challenges. The features of curvelets, viz. anisotropic scaling and better directional sensitivity assists in the efficient illustration of image edges with lower number of non-zero coefficients and hence the motivation for this novel approach, Stereoscopic Image Compression using Curvelet and Arithmetic Coding (SICCAC). Here, thresholded, quantization depended mechanism is exploited to preserve few important coefficients of the curvelets followed by arithmetic encoding. The experimental analysis display high compression ratio and PSNR. The proposed method is compared with Image Compression Algorithm based on Curvelet Transforms and Comparative Analysis with JPEG and JPEG 2000(ICACT). It is observed that proposed SICCAC outperforms ICACT.
Distant Metastases in Head and Neck Cancer Patients

Distant metastases were observed in 19 cases (11.6%) in a series of 164 patients with head and neck cancer and treated between 1974 and 1983. The incidence of distant metastases was high in patients with advanced primary tumors, i.e. T3 and T4. Pathological types of distant metastases that were observed at a high incidence were MFH, lymphoepithelioma and undifferentiated carcinoma. The most common organs of distant metastases were the lung, bone and liver. Distant metastases of head and neck cancer were considered to be rare but according to the studies of pathological autopsies, it was higher than our clinical findings. Therefore, it was necessary to follow-up the head and neck cancer patients very carefully for a long period.
Do Appeals to Donor Benefits Raise More Money than Appeals to Recipient Benefits? Evidence from a Natural Field Experiment with Pick.Click.Give

We partnered with Alaska’s Pick.Click. Give. Charitable Contributions Program to implement a statewide natural field experiment with 540,000 Alaskans designed to explore whether targeted appeals emphasizing donor benefits through warm glow impact donations. Results highlight the relative import of appeals to self. Individuals who received such an appeal were 4.5 percent more likely to give and gave 20 percent more than counterparts in the control group. Yet, a message that instead appealed to recipient benefits had no effect on average donations relative to the control group. We also find evidence of long-run effects of warm glow appeals in the subsequent year.
Bacillus licheniformis-Fermented Products Reduce Diarrhea Incidence and Alter the Fecal Microbiota Community in Weaning Piglets

Simple Summary Antibiotics have been commonly used worldwide as growth promoters and for prophylactic treatment of diarrhea in weaning piglets. However, The European Union has banned the use of antibiotic growth promoters in animal production. Therefore, finding alternative solutions for preventing diarrhea in weaning piglets is urgent. Modulation of gut microbiota composition by probiotics has a beneficial effect on animal health. In this study, we assessed the effects of Bacillus licheniformis-fermented products on diarrhea incidence and the fecal microbiome composition in weaning piglets. Results showed that B. licheniformis-fermented products could improve diarrhea incidence and the fecal microbiota community in weaning piglets. These findings indicate that B. licheniformis-fermented products have the potential for development as feed additives and use as possible substitutes for antibiotics to prevent postweaning diarrhea in the pig industry. Abstract Prophylactic use of antibiotics in-feed has been effective in decreasing the incidence of diarrhea in weaning piglets. However, the overuse of antibiotics as prophylactic or therapeutic agents in animal feed leads to the evolution of drug-resistant bacteria and antibiotic residues in pigs. This study investigated the effects of Bacillus licheniformis-fermented products on diarrhea incidence and the fecal microbial community in weaning piglets. A total of 120 crossbred piglets with an average initial body weight of 9.87 ± 1.43 kg were randomly allotted to four dietary treatments consisting of three replicate stalls with 10 piglets in each. The dietary treatments comprised a basal diet as control, control plus 1 g/kg or 4.5 g/kg of B. licheniformis-fermented products, and control plus 30 mg/kg antibiotics (bacitracin methylene disalicylate). Results showed that 4.5 g/kg of B. licheniformis-fermented product supplementation significantly reduced diarrhea incidence in weaning piglets. Principal coordinate analysis and a heatmap of species abundance indicated distinct clusters between the groups treated with antibiotics and B. licheniformis-fermented products. The bacterial richness and evenness in the feces decreased in weaning piglets fed 1 g/kg of B. licheniformis-fermented products and antibiotics. The abundance of the genera [Ruminococcus] gauvreauii group, Ruminococcaceae UCG-005, and Ruminococcaceae UCG-008 in the feces decreased in weaning piglets fed B. licheniformis-fermented products or antibiotics. The average abundance of the genus Prevotella 9 in the feces was positively correlated with the concentration of B. licheniformis-fermented products and negatively correlated with the diarrhea incidence in weaning piglets. Furthermore, the average abundance of the genus Prevotella 9 in the feces was positively correlated with the growth performance of weaning piglets. These results demonstrate that B. licheniformis-fermented products can improve diarrhea incidence and fecal microflora composition in weaning piglets.
Vertical Distribution of Particulates within the Near-Surface Layer of Dry Bulk Port and Influence Mechanism: A Case Study in China

Knowing the vertical distribution of ambient particulate matter (PM) will help port authorities choose the optimal dust-suppression measures to reduce PM concentrations. In this study, we used an unmanned aerial vehicle (UAV) to assess the vertical distribution (0–120 m altitude) of PM in a dry bulk port along the Yangtze River, China. Total suspended particulates (TSP), PM10, and PM2.5 concentrations at different altitudes were measured at seven sites representing different cargo-handling sites and a background site. Variations in results across sites make it not suitable to characterize the vertical distribution of PM concentration at this port using simple representative distributions. Bulk cargo particle size, fog cannon use, and porous fence all affected the vertical distribution of TSP concentrations but had only minor impacts on PM10 and PM2.5 concentrations. Optimizing porous fence layout according to weather conditions and cargo demand at port have the most potential for mitigating PM pollution related to port operation. As ground-based stations cannot fully measure vertical PM distributions, our methods and results represent an advance in assessing the impact of port activities on air quality and can be used to determine optimal dust-suppression measures for dry bulk ports.
A preliminary study to determine the potential of a prototype feeding stimulant in improving the weaning of juvenile marble goby (Oxyeleotris marmoratus)

This study was conducted to determine the potential of a prototype feeding stimulant (FS) comprised of amino acids and nucleotides to improve the weaning of Oxyeleotris marmoratus. Two diets (control and FS) were formulated and fed to 2 groups of fish for 14 days. Six fish were in each group. Each fish was in one aquarium and each fish was a replicate. The body lengths were 7.7-9.3 cm. Each fish was given 5-pellet feedings at 17:00 daily and the ingested feedings were recorded the next day at 12:00. Fish fed the FS diet started ingestion on the1st day and attained a higher ingestion ratio of 0.5 and 50% were successfully weaned. However, on the 8th day, fish fed the control diet had an ingestion ratio of 0.17 and 16.7% were successfully weaned. In conclusion, the FS efficiently promoted feed intake and it can be used to improve the weaning of O. marmoratus.
GPU-Accelerated Randomized Newton Method for Fast Training Malicious Web Site Classifier

This paper describes a randomized Newton method for accelerating the training process for a malicious web classifier. Detecting malicious web sites is of great importance for network security. As new Web sites appear in seconds, fast training models for classifying new Web sites is of great importance in coping with emerging new threats. The proposed method is based on a novel non-uniform sampling for Hessian matrix in the Newton method. The method was implemented on the graphics processing unit (GPU) to achieve further acceleration. The empirical results show that our GPU-based method outperformed a CPU implementation by a factor of 7.5×. We therefore believe that GPU is an effective tool for accelerating training the classifier of malicious web sites.
Comparative Analysis of Maternal and Perinatal Outcomes of Trial of Vaginal Birth and Planned Repeat Caesarean Section Following a Prior Caesarean

Background: Delivery following a previous caesarean section is associated with the fear of increased maternal and perinatal morbidity and mortality. The optimal mode of such delivery remains critical with increasing rate of caesarean births in the contemporary obstetric care. The intended choice of mode of delivery for the woman and her clinician remains between trial of vaginal birth after caesarean and elective repeat caesarean section. This study was therefore designed to appraise the obstetric outcomes of the two main modes of delivery after a primary caesarean delivery. Original Research Article
Learning Probabilistic Feedforward and Feedback Policies for Stable Walking

The compliant quadruped robot Oncilla is used as platform to explore the benefits of the interaction between a feedforward gait and a simultaneous active stabilizing feedback controller. The chosen approach is motivated by findings in biology as well as by the advantages of modern stochastic methods. In this thesis, we present a balancing controller, a simple feedforward gait and first results of a system combining both components. The basic components can be modified in further research. The developed balancing controller is based on a common criteria for static stability, the current center of pressure (CoP) of the Oncilla. It is calculated from force data obtained from mounted OptoForce sensors and the endeffector positions calculated by a simplified forward kinematic model. Locally weighted regression is used to calculate motor commands that bring the Oncilla’s CoP closer to a desired one. The static walking gait is based on analyses of the walking behavior of four-legged animals. The trajectory for each leg is further carefully hand-tuned and parameterized as a combination of sine curves. In addition, rhythmic movement primitives modulating the handcrafted gait have been applied. Finally, we explored how the final gait is influenced by combining the forward gait and the balancing controller. The tuning parameter was the amount of applied feedback, which determines how much the Oncilla relies on the gait or on the feedback. In the current setup, the balancing controller could not visibly improve the feedforward gait. This thesis provides first results towards a versatile platform allowing further experiments on the benefits of feedback for gait learning.
Reinforcement Learning for Online Maximum Power Point Tracking Control

Abstract—The world wide resource crisis led scientists and engineers to search for renewable energy sources. Photovoltaic systems are one of the most important renewable energy sources. In this paper we propose an intelligent solution for solving the maximum power point tracking problem in photovoltaic systems. The proposed controller is based on reinforcement learning techniques. The algorithm performance far exceeds the performance of traditional maximum power point tracking techniques. The algorithm not only reaches the optimum power it learns also from the environment without any prior knowledge or offline learning. The proposed control algorithm solves the problem of maximum power point tracking under different environment conditions and partial shading conditions. The simulations results show satisfactory dynamic and static response and superior performance over famous perturb and observe algorithm.