Miracle-dz/UniFAR-FTUs huggingface dataset:
Antiribosomal-P autoantibodies from psychiatric lupus target a novel neuronal surface protein causing calcium influx and apoptosis

The interesting observation was made 20 years ago that psychotic manifestations in patients with systemic lupus erythematosus are associated with the production of antiribosomal-P protein (anti-P) autoantibodies. Since then, the pathogenic role of anti-P antibodies has attracted considerable attention, giving rise to long-term controversies as evidence has either contradicted or confirmed their clinical association with lupus psychosis. Furthermore, a plausible mechanism supporting an anti-P–mediated neuronal dysfunction is still lacking. We show that anti-P antibodies recognize a new integral membrane protein of the neuronal cell surface. In the brain, this neuronal surface P antigen (NSPA) is preferentially distributed in areas involved in memory, cognition, and emotion. When added to brain cellular cultures, anti-P antibodies caused a rapid and sustained increase in calcium influx in neurons, resulting in apoptotic cell death. In contrast, astrocytes, which do not express NSPA, were not affected. Injection of anti-P antibodies into the brain of living rats also triggered neuronal death by apoptosis. These results demonstrate a neuropathogenic potential of anti-P antibodies and contribute a mechanistic basis for psychiatric lupus. They also provide a molecular target for future exploration of this and other psychiatric diseases.
Intensification of El Niño Rainfall Variability Over the Tropical Pacific in the Slow Oceanic Response to Global Warming

Changes in rainfall variability of El Niño–Southern Oscillation (ENSO) are investigated under scenarios where the greenhouse gases increase and then stabilize. During the period of increasing greenhouse forcing, the ocean mixed layer warms rapidly. After the forcing stabilizes, the deeper ocean continues to warm the surface (the slow response). We show that ENSO rainfall variability over the tropical Pacific intensifies in both periods but the rate of increase per degree global mean surface temperature (GMST) warming is larger for the slow response because of greater relative warming in the base state as the mean upwelling changes from a damping to a driver of the surface warming. Our results have important implications for climate extremes under GMST stabilization that the Paris Agreement calls for. To stabilize GMST, the fast surface cooling offsets the slow warming from the prior greenhouse gas increase, while ENSO rainfall variability would continue to increase.
Methylation of Tumor-Related Genes in Neoadjuvant-Treated Gastric Cancer: Relation to Therapy Response and Clinicopathologic and Molecular Features

Purpose: The objective of this study was to analyze the hypermethylation of tumor-related gene promoters for an association with therapy response and clinicopathologic features of neoadjuvant-treated gastric cancer patients. Furthermore, we analyzed the relationship of promoter hypermethylation with microsatellite instability and loss of heterozygosity (LOH) of the tumors. Experimental Design: Pretherapeutic biopsies of 61 patients, subsequently treated with cisplatin and 5-fluorouracil, were studied. Methylation analysis of six gene promoters was done using MethyLight technology. Microsatellite analysis was mainly done in previous studies. Results: The methylation frequencies for the analyzed genes were MGMT, 44%; LOX, 53%; p16, 46%, E-cadherin, 30%; 14-3-3σ, 69%; and HPP1, 82%. Concordant methylation of more than three genes was found in 46% of the tumors and was inversely correlated with the LOH rate (P = 9 × 10−5) and associated with female gender (P = 0.049), nonintestinal type tumors (P = 0.04), and a nonproximal tumor location (P = 0.003). No statistically significant association between the methylation of a single gene or the concordant methylation of multiple genes was found with response or survival. However, patients with none or only one methylated gene showed a trend for an increase in survival (5-year survival rate, 83% versus 35%; P = 0.067). Conclusion: The highly significant inverse correlation of promoter methylation and LOH rate reflects major alternative molecular pathways in gastric carcinogenesis. Methylation was not statistically significantly associated with the response to cisplatin/5-fluorouracil–based therapy. However, a concordant methylation of more than three genes defines subgroups of gastric cancer with distinct biological and genetic characteristics.
Analyzing the Time between Trades with a Gamma Compounded Hazard Model. An Application to LIFFE Bund Future Transactions

This paper investigates the time between transactions on financial markets. It is assumed that the interval between transactions is a random variable and the relationship between the probability to observe a transaction at each instant of time and the type of the previous trade is investigated. To estimate these effects, a semiparametric proportional hazard model is used which is based on approaches proposed by Han and Hausman (1990) and Meyer (1990). Considering grouped durations the log-likelihood is formed by using differences in the survivor function. Hence, the model corresponds to an ordered response approach whereby the baseline hazard is estimated simultaneously with the coefficients of the covariates and is calculated by the thresholds. Clustering of the durations is taken into account by including lagged durations. A test is proposed to check for serial correlation in the errors based on the concept of generalized residuals along the lines of the work of Gourieroux, Monfort and Trognon (1987). Unobservable heterogeneity is implemented parametrically by a gamma distributed random variable entering the hazard function. It is shown that the resulting compounded model follows a BurrII form. In an empirical analysis high frequency intraday transaction data from the London International Financial Futures and Options Exchange (LIFFE) is investigated.
Extremal graphs having no matching cuts

A graph G = (V, E) is matching immune if there is no matching cut in G. We show that for any matching immune graph G, |E|≥⌈3(|V|−1)/2⌉. This bound is tight, as we define operations that construct, from a given vertex, exactly the class of matching immune graphs that attain the bound. © 2011 Wiley Periodicals, Inc. J Graph Theory 69:206‐222, 2012 .
Hyperspectral Image Denoising With a Spatial–Spectral View Fusion Strategy

In this paper, we propose a hyperspectral image denoising algorithm with a Spatial-spectral view fusion strategy. The idea is to denoise a noisy hyperspectral 3-D cube using the hyperspectral total variation algorithm, but applied to both the spatial and spectral views. A metric Q-weighted fusion algorithm is then adopted to merge the denoising results of the two views together, so that the denoising result is improved. A number of experiments illustrate that the proposed approach can produce a better denoising result than both the individual spatial and spectral view denoising results.
Beyond Agile: Studying The Participatory Process in Software Development

We see that the collaborative and participatory nature of software development continues to evolve, shape and be shaped by communication channels that are used by developer communities of practice--both by traditional communication channels (e.g., telephone, in-person interactions), as well as social features that may be standalone or integrated with other development tools (e.g., email, chat, and forums). Within a community of practice, software is a combination of the externalized knowledge (e.g., code, documentation, history of activities) as well as the tacit knowledge that resides in the community members' heads (e.g., experience of when to use an API, or design constraints that are not written down). Communication channels and development tools support developers in forming and sharing both externalized and tacit knowledge in a highly collaborative manner. However, not much is known about the impact this participatory culture is having on software development practices nor on the knowledge-building processes. The research community has been studying the tools and communication channels used by developers in an effort to broaden our understanding. But, studying only the tools and channels can only provide a narrow perspective. We believe that software development has evolved beyond the agile process, into a Participatory Process--A knowledge building process which is characterized by the (1) knowledge activities and actions, (2) stakeholder roles, and (3) is enabled by socially enhanced tools and communication channels. Thus, it is important to gain an understanding of each one of the components, and the way these components interact and shape each other.
Update on the Diagnosis and Management of Refractory Coeliac Disease

A small subset of coeliac disease (CD) patients experiences persisting or recurring symptoms despite strict adherence to a gluten-free diet (GFD). When other causes of villous atrophy have been excluded, these patients are referred to as refractory celiac disease (RCD) patients. RCD can be divided in two types based on the absence (type I) or presence (type II) of an, usually clonal, intraepithelial lymphocyte population with aberrant phenotype. RCDI usually runs a benign course and may be difficult to be differentiated from uncomplicated, slow responding CD. In contrast, RCDII can be defined as low-grade intraepithelial lymphoma and frequently transforms into an aggressive enteropathy associated T-cell lymphoma with dismal prognosis. This paper describes the clinical characteristics of RCDI and RCDII, diagnostic approach, and the latest insights in treatment options.
Dissections and trees, with applications to optimal mesh encoding and to random sampling

We present a bijection between some quadrangular dissections of an hexagon and unrooted binary trees. This correspondence has interesting consequences for enumeration, mesh compression and random graph sampling.It yields a succinct representation for the set <i>P(n)</i> of <i>n</i>-edge 3-connected planar graphs matching the entropy bound 1/<i>n</i> log |<i>P</i>(<i>n</i>)| = 2+<i>o</i>(1) bits per edge. This solves a theoretical problem in mesh compression, as these graphs abstract the combinatorial part of meshes with spherical topology.Once the entropy bound is matched, the guaranteed compression rate can only be improved on subclasses: we achieve the optimal parametric rate 1/<i>n</i> log |<i>P</i>(<i>n, i, j</i>)| bits per edge for graphs of <i>P</i>(<i>n</i>) with <i>i</i> vertices and <i>j</i> faces. This effectively reduces the entropy as soon as |<i>i</i> -<i>j</i>| ≫ <i>n</i><sup>1/2</sup>, and achieves the optimal rate for triangulations.It also yields an efficient uniform random sampler for labeled 3-connected planar graphs. Using it, the amortized complexity of sampling labeled planar graphs is reduced from the best previously known <i>O</i>(<i>n</i><sup>6.5</sup>) to <i>O</i>(<i>n</i><sup>3</sup>).
Self-Supervised Learning Recommendation Algorithm Based on Meta-Paths

The application of heterogeneous neural networks to the recommendation domain has shown excellent capabilities. However, existing recommendation methods based on heterogeneous neural networks are limited by data sparsity while ignoring the rich interaction semantic information. To solve the above problems, we designs a self-supervised recommendation algorithm based on meta-path-guided heterogeneous graph neural networks. The algorithm models complex objects and multiple rich interaction semantic information as a heterogeneous graph neural network. Then meta-paths are introduced to capture higher-order linguistic information in the heterogeneous graphs. Then the semantic attention mechanism and MLP network are used to accurately learn the interest features of users. Finally, a graph comparison-based learning framework is proposed, which further improves model performance based on the ability of two views to collaborate with each other and eventually learn node embeddings. Besides, our paper implements experiment on the real massive dataset, our algorithm has better performance compared with the mainstream advanced recommendation methods.
Resectional surgery of hilar cholangiocarcinoma: a multivariate analysis of prognostic factors.

PURPOSE To define the prognostic factors after surgical resection of bile duct carcinomas at the hepatic bifurcation. PATIENTS AND METHODS The retrospective single-center experience details 151 patients after surgical resection of central bile duct carcinoma performed between 1971 and 1995. Tumor removal was accomplished by resection of the bile duct bifurcation either alone (group I, n = 33), in combination with hepatic resection (group II, n = 77), or combined with hepatic and vascular resection (group III, n = 41). Survival analysis was performed by the Kaplan-Meier method and the relationship between each of the clinicopathologic variables and survival was assessed by the log-rank test. Multivariate results were confirmed using Cox regression. RESULTS The overall hospital mortality rate was 9.9% and depended on the extent of resection (group 1, 6.1%; group II, 7.8%; group III, 17.1%). After exclusion of hospital deaths, the overall patient survival rate was 28.4% at 5 and 15.5% at 10 years, with a median survival duration of 2.05 +/- 0.23 years. Univariate survival analysis identified tumor size, lymph node metastases, residual tumor stage, and tumor grading as factors with a statistically significant prognostic impact. Survival prognosis was not influenced by the site of the tumor according to the classification of Bismuth and Corlette, extent of resection, International Union Against Cancer (UICC) stage, perineural and vascular invasion, age, or sex. In a multivariate Cox analysis, only lymph node metastases and residual tumor stage proved to be of independent prognostic significance. CONCLUSION Resection of central bile duct carcinoma is feasible in many patients and a favorable outcome after resection is mainly determined by curative resection and the absence of lymph node metastases.
Diagnostic accuracy of fetal heart rate monitoring in the identification of neonatal encephalopathy.

To the Editor: We congratulate Dr. Graham and his colleagues for their detailed analysis of fetal heart rate monitoring patterns to identify features of electronic fetal monitoring that correlate with neonatal encephalopathy. They report in their study that 59% of the neonatal encephalopathy group and 57% of the control group received oxytocin during labor, increased from 33.2% in 2008. In view of this substantial increase in oxytocin use, quantitative analysis of contractions in this study also would be useful. It would be helpful to perform a secondary analysis of the Graham data to determine whether excessive contraction frequency (more than seven contractions per 15 minutes) was an independent, significant risk factor for neonatal hypoxic ischemic encephalopathy in the Graham study, as it was in the recent Hayes study. Other sensitive measures of tachysystole include inadequate rest between contractions (shorter than 60 seconds), hypertonus (resting tone greater than 20–25 mm Hg), and contraction duration and amplitude. In the past, only fetal heart rate patterns were evaluated for their sensitivity and specificity related to the neonatal condition. However, we have found that another available aspect of electronic monitoring that affects fetal and neonatal health and should be measured is excessive uterine activity. Excessive uterine activity that is injurious may be accompanied by fetal heart rate abnormalities. These include rising fetal heart rate baseline, reduced reactivity, decreased variability, repetitive decelerations, bradycardia, and the Hon pattern. Obstetricians could provide neonatologists with timely, meaningful measures of excessive uterine activity in addition to relevant biomarkers for intrapartum hypoxia and ischemia. This timely information could facilitate more appropriate decisionmaking to initiate protective hypothermia therapy for neonates who sustain intrapartum hypoxic and ischemic neurologic injuries.
Efficient Soft Demodulation in MIMO-OFDM Systems with BICM and Constant Modulus Alphabets

MIMO-OFDM using bit-interleaved coded modulation (BICM) is an attractive scheme for wireless communications in frequency-selective fading channels. The BICM decoder requires log-likelihood ratios (LLRs) whose exact computation is extremely costly. In this paper, we present a novel method termed soft sphere-projection algorithm (SSPA) that provides approximate LLRs for the case of constant modulus symbol alphabets. The SSPA has very low computational complexity and performs nearly as well as the list sphere decoder. These properties are demonstrated by numerical simulations using synthetic and measured MIMO channels
d-Brane Instantons in Type II Orientifolds

We review recent progress in determining the effects of d-brane instantons in supersymmetric compactifications of Type II string theory to four dimensions. We describe the abstract d-brane instanton calculus for holomorphic couplings such as the superpotential, the gauge kinetic function, and higher fermionic F-terms, and we briefly discuss the implications of background fluxes for the instanton sector. We then summarize the concrete consequences of stringy d-brane instantons for the construction of semirealistic models of particle physics or supersymmetry breaking in compact and noncompact geometries.
Resistance of Magnesium Alloys to Corrosion Fatigue for Biodegradable Implant Applications: Current Status and Challenges

Magnesium (Mg) alloys are attracting increasing interest as the most suitable metallic materials for construction of biodegradable and bio-absorbable temporary implants. However, Mg-alloys can suffer premature and catastrophic fracture under the synergy of cyclic loading and corrosion (i.e., corrosion fatigue (CF)). Though Mg alloys are reported to be susceptible to CF also in the corrosive human body fluid, there are very limited studies on this topic. Furthermore, the in vitro test parameters employed in these investigations have not properly simulated the actual conditions in the human body. This article presents an overview of the findings of available studies on the CF of Mg alloys in pseudo-physiological solutions and the employed testing procedures, as well as identifying the knowledge gap.
New Insights into the Pathomechanisms of Contact Dermatitis by the Use of Transgenic Mouse Models

Allergic contact dermatitis (ACD) is one of the most common skin diseases with a great socioeconomic impact. Although extensively studied, its pathophysiology and the interaction of different cells and factors which lead to sensitization and elicitation reaction are still not completely understood. The advent of transgenic mouse technology has considerably changed the study of ACD. This technology has been used extensively to investigate biomedically important issues in such diverse areas as mammalian development, neurophysiology and immunology. This new approach has already led to fascinating results which are confirmatory but also contradictory to previous thinking on the role of certain cytokines, adhesion and cell surface molecules in the complex pathophysiologic process of ACD. This review will describe how recent experiments employing mice carrying cytokine and accessory molecule transgenes change our current understanding of contact dermatitis which may lead to improved therapeutic strategies.
Development of Interactive E-Books for Production Unit Courses by Implementing a Hybrid Learning System

The purpose of this research is to develop an interactive e-book for production unit courses by applying a valid, practical and effective hybrid learning. The product development model used is the IDI (Instructional Development Institute) model. The subjects of this study were students of Fashion Design Education. The results obtained from this development research are as follows: (1) The availability of interactive e-books for production unit courses, (2) Production unit interactive e-books are declared to be very valid by material experts (0.86) and media experts ( 0.87), (3) interactive e-books for production unit courses based on lecturer responses are very practical (88%) and based on student responses are stated to be very practical (90%), (4) interactive e-book production units are declared effective in improve student learning outcomes (12.69%). Based on the findings of this study, it was concluded that interactive e-books for production unit courses were valid, practical and effective to be used as teaching materials in production unit courses at the university level.
Robust Interactive HMI for Occupancy Estimation in Smart Buildings (WIP)

In this paper, we propose a Human-Machine Inter-face offering an efficient and privacy-conscious approach to train Occupancy Estimation Machine Learning models by interacting with users to request the occupancy level of a room. Although there are existing works that optimize the frequency of interactions, these techniques assume that the data is clean. Hence, anomalies in sensor measurements may lead to unnecessary interactions with users, resulting in their disengagement. To address this problem, we employ an Autoencoder neural network to detect anomalies in univariate time series sensor data using the reconstruction error. Furthermore, we tackle the autoencoder architecture selection challenge by utilizing a Reinforcement Learning-based Neural Architecture Search (RLNAS) approach, where an agent explores a predefined search space and identifies the optimal neural configuration by learning through trial and error. Experiments conducted on a custom anomaly detection dataset demonstrate competitive performance, and illustrate how this technique discovers effective architectures that may not be immediately apparent or intuitive.
Five New Species of Gymnopilus from Xizang Autonomous Region of China and Surrounding Areas

The species of Gymnopilus (Hymenogastraceae, Agricales) are commonly recognized as wood-decaying fungi. Certain members of this genus have been identified as psilocybin-producing mushrooms. Gymnopilus exhibits a diverse range and has a global distribution. In this study, a total of seventy-eight specimens were gathered from ten provinces in China. A comprehensive molecular phylogenetic analysis was conducted, employing gene sequences including ITS, nrLSU, nrSSU, rpb1, rpb2, and tef1-α. Additionally, morphological examinations were also carried out. The phylogenetic topology of Gymnopilus from this study generally agreed with previous studies and facilitated the identification of all those specimens. As a result, eleven species, including five newly discovered ones named Gy. gyirongensis, Gy. variisporus, Gy. tomentosiceps, Gy. tenuibasidialis, and Gy. aurantipileatus, were recognized. Significantly, four of the five newly identified species are native to the Xizang Autonomous Region, emphasizing their specialization in this distinctive habitat. This research contributes to our comprehension of Gymnopilus diversity and lays the groundwork for the conservation and sustainable utilization of Gymnopilus resources.