Miracle-dz/UniFAR-FTUs huggingface dataset:
A Dynamical Theory for Singular Stochastic Delay Differential Equations I: Linear Equations and a Multiplicative Ergodic Theorem on Fields of Banach Spaces

We show that singular stochastic delay differential equations (SDDEs) induce cocycle maps on a field of Banach spaces. A general Multiplicative Ergodic Theorem on fields of Banach spaces is proved and applied to linear SDDEs. In Part II of this article, we use our results to prove a stable manifold theorem for non-linear singular SDDEs. Introduction Stochastic delay differential equations (SDDEs) describe stochastic processes for which the dynamics do not only depend on the present state, but may depend on the whole past of the process. In its simplest formulation, an SDDE takes the form dyt = b(yt, yt−r) dt+ σ(yt, yt−r) dBt(ω) (0.1) for some delay r > 0 where B is a Brownian motion, b is the drift and σ the diffusion coefficient, both depending on the present and a delayed state of the system. In this case, we speak of a (single) discrete time delay. SDDE appear frequently in practice. For instance, they can be used to model cell population growth and neural control mechanisms, cf. [Buc00] and the references therein, they are applied in financial modeling [Sto05] and for climate models [BTR07]. To be able to solve (0.1) uniquely, an initial condition has to be given which is a path or, more generally, a stochastic process. This means that we are led to solve an equation on an infinite dimensional (path) space. Popular choices for spaces of initial conditions are continuous paths or L paths. However, standard Itō theory can be applied without too much effort to solve (0.1) for such initial conditions, cf. [Mao08, Moh84]. To analyse the qualitative behaviour of solutions to (0.1), in particular its long-time behaviour, it is natural to use a dynamical systems approach. Maybe the most popular concept, which was successfully applied to stochastic differential equations (SDEs) in both finite and infinite dimensions, was developed by L. Arnold and is called the theory of Random Dynamical Systems (RDS), cf. [Arn98] for an exposition. Examples for which the language and theory of RDS are used include random attractors [Sch92, CF94, CDF97], random stable and unstable manifolds [MS99, MS04] and different concepts of stochastic bifurcation [Arn98, Chapter 9]. The crucial result on which Arnold’s theory is built is a Multiplicative Ergodic Theorem (MET), originally proved by Oseledec [Ose68]. This theorem has attracted much attention by different researchers and has been proven with different techniques and increasing generality, cf. [Rag79, Rue79, Rue82, Mn83, Thi87, LL10, GTQ15, Blu16]. Under certain conditions, the MET shows that linear and linearised Random 2010 Mathematics Subject Classification. 34K50, 37H10, 37H15, 60H99, 60G15.
Deep Learning in Music Recommendation Systems

Like in many other research areas, deep learning (DL) is increasingly adopted in music recommender systems (MRS). Deep neural networks are used in this area particularly for extracting latent factors of music items from audio signals or metadata and for learning sequential patterns of music items (tracks or artists) from music playlists or listening sessions. Latent item factors are commonly integrated into content-based filtering and hybrid MRS, whereas sequence models of music items are used for sequential music recommendation, e.g., automatic playlist continuation. This review article explains particularities of the music domain in RS research. It gives an overview of the state of the art that employs deep learning for music recommendation. The discussion is structured according to the dimensions of neural network type, input data, recommendation approach (content-based filtering, collaborative filtering, or both), and task (standard or sequential music recommendation). In addition, we discuss major challenges faced in MRS, in particular in the context of the current research on deep learning.
Spam Review Detection with Graph Convolutional Networks

Reviews on online shopping websites affect the buying decisions of customers, meanwhile, attract lots of spammers aiming at misleading buyers. Xianyu, the largest second-hand goods app in China, suffering from spam reviews. The anti-spam system of Xianyu faces two major challenges: scalability of the data and adversarial actions taken by spammers. In this paper, we present our technical solutions to address these challenges. We propose a large-scale anti-spam method based on graph convolutional networks (GCN) for detecting spam advertisements at Xianyu, named GCN-based Anti-Spam (GAS) model. In this model, a heterogeneous graph and a homogeneous graph are integrated to capture the local context and global context of a comment. Offline experiments show that the proposed method is superior to our baseline model in which the information of reviews, features of users and items being reviewed are utilized. Furthermore, we deploy our system to process million-scale data daily at Xianyu. The online performance also demonstrates the effectiveness of the proposed method.
Percolation transition of pusher-type microswimmers.

We identify the presence of a continuum percolation transition in model suspensions of pusher-type microswimmers. The clusters dynamically aggregate and disaggregate resulting from a competition of attractive and repulsive hydrodynamic and steric interactions. As the microswimmers' filling fraction increases, the cluster size distribution approaches a scale-free form and there emerge large clusters spanning the entire system. We characterize this microswimmer percolation transition via the critical exponents associated to cluster size distribution $\tau$, correlation length $\nu$, mean cluster size $\gamma$, and clusters' fractal dimension $d_f$. We are able to show that two scaling relations, known from percolation theory, also hold for our microswimmers. A real-space renormalization group transformation can approximately predict the value of the exponent $\nu$. This finding opens new vistas on microswimmers' congregative processes.
Logistics knowledge creation in joint industry-academia research projects: the importance of dialogue and co-construction

ABSTRACT Knowledge creation in joint industry-academia research projects should be part of a knowledge strategy and a knowledge management (KM) approach in logistics and supply chain management (SCM). Based on an in-depth retrospective analysis of eight research projects carried out by researchers in collaboration with industry on strategic logistics and SCM topics, combining single and cross-case analysis, this article discusses logistics knowledge creation and points out the importance of industry-academia interactions, especially dialogue and co-construction, at each stage of a research project to create valuable logistics knowledge, both from a managerial and an academic point of view. It puts forward guidelines to improve the management of such projects and the quality of their outputs, especially logistics knowledge creation. Finally, it proposes a framework and opens avenues for further research with a view to deepening the dialogue and enriching the co-construction between industry and academia in strategic logistics and SCM research projects.
Isolation and identification of bacteria with determination of bacterial loads from different brands of butter and cheese

The present study was conducted to isolate and identify the organisms in butter and cheese manufactured by different plants namely Milk Vita and Quality sold in retail stores at Dinajpur, Bangladesh were collected and transported aseptically to the laboratory for bacteriological analyses. The samples were analyzed to determine the hygienic status of butter and cheeses and also for the total viable count (TVC), presence of gram-positive and gram-negative bacteria. TVC was performed according to the American Public Health Association, using plate count agar medium for TVC and Eosine methylene blue (EMB) agar for total E. coli count and Staphylococcus agar no. 110 for total Staphylococcus count. The average TVC for Milk Vita butter 3.28 x 105 CFU/gm (log 5.5) was lower than local butter 5.45 x 106 CFU/gm (log 6.7) and average TVC for Quality cheese 4.5 x 105 CFU/gm (log 5.7) was lower than local cheese 5.14 x 106CFU/gm (log 6.7). The bacterial loads of butter and cheese samples were within the acceptable limit of public health safety, since the count was well below the acceptable limit. The highest extent of bacterial contamination and proliferation of viable bacteria occurred in local butter and local cheese. The numbers of E. coli in local butter and cheese were little bit higher indicating poor hygienic practices during manufacture, post process contamination and unsatisfactory transportation. Statistically the E. coli were more closely related to TVC than the staphylococcal counts in the samples of Milk Vita butter 2.68 x 103 CFU/gm (log 3.4), Local butter 3.15x 104 CFU/gm (log 4.5), Quality cheese 4.46 x 103 CFU/gm (log 3.6) and Local cheese 1.19 x 104 CFU/gm (log 4.0) respectively. The results demonstrated that Milk Vita butter and Quality cheese are of superior quality product in respect of sanitary condition. Asian Australas. J. Biosci. Biotechnol. 2016, 1 (3), 504-513
Psychology of doctor-patient relationship in general medicine

The transcendence of psychological factors of the doctor-patient relationship is given by the fact of its influence on results and quality of medical care, improvement in compliance, satisfaction and recall of physician information, and plays a fundamental role in the medical care process: the skills Listening and communication are fundamental parts to make the diagnosis and treatment. Some of these positive consequences arise from the fact that relationships are linked to emotions which have a physiological substrate.
MALAT1 rs619586 polymorphism functions as a prognostic biomarker in the management of differentiated thyroid carcinoma

This study aimed to explore the roles of miR‐214 and MALAT1 rs619586 polymorphism in the control and survival of differentiated thyroid carcinoma (DTC) via Cox regression analyses. The levels of MALAT1, miR‐214, and CTNNB1 in different experimental groups were compared to study the interaction among MALAT1, miR‐214, and CTNNB1. MTT and colony assays were used to investigate the role of rs619586 polymorphism in cell growth. The G allele of rs619586 polymorphism obviously decreased the 5‐year survival of patients with DTC. Additionally, compared with AA‐genotyped patients, patients carrying the AG/GG genotypes of MALAT1 rs619586 polymorphism showed much higher levels of DTC grade and CTNNB1 expression, along with lower levels of MALAT1 and miR‐214 expression. Furthermore, the transcription activity of MALAT1 was significantly lowered by the rs619586G allele or miR‐214 mimic, while the miR‐214 inhibitor upregulated the luciferase activity of MALAT1. Additionally, miR‐214 inhibited CTNNB1 expression by targeting CTNNB1 3'‐untranslated region. Finally, the G allele of MALAT1 rs619586 polymorphism apparently promoted cell proliferation. Our study indicated that miR‐214 inhibited MALAT1 expression by directly binding to the G allele of MALAT1 rs619586 polymorphism, thus inhibiting CTNNB1 expression and promoting cell proliferation in the pathogenesis of DTC. Therefore, MALAT1 rs619586 polymorphism could be used to predict the prognosis of DTC.
Mathematical modelling of cancer cell invasion of tissue: Local and non-local models and the effect of adhesion

The ability to invade tissue is one of the hallmarks of cancer. Cancer cells achieve this through the secretion of matrix degrading enzymes, cell proliferation, loss of cell–cell adhesion, enhanced cell–matrix adhesion and active migration. Invasion of tissue by the cancer cells is one of the key components in the metastatic cascade, whereby cancer cells spread to distant parts of the host and initiate the growth of secondary tumours (metastases). A better understanding of the complex processes involved in cancer invasion may ultimately lead to treatments being developed which can localise cancer and prevent metastasis. In this paper we formulate a novel continuum model of cancer cell invasion of tissue which explicitly incorporates the important biological processes of cell–cell and cell–matrix adhesion. This is achieved using non-local (integral) terms in a system of partial differential equations where the cells use a socalled ‘‘sensing radius’’ R to detect their environment. We show that in the limit as R! 0 the non-local model converges to a related system of reaction–diffusion–taxis equations. A numerical exploration of this model using computational simulations shows that it can form the basis for future models incorporating more details of the invasion process. r 2007 Elsevier Ltd. All rights reserved.
Two new dihydroisocoumarins with antimicrobial activities from the fungus Penicillium sp. XR046 collected from Xinren coal area

Abstract Two new dihydroisocoumarins (1 and 2), together with six known compounds (3–8), were isolated from the fungus Penicillium sp. XR046 collected from the Xinren coal area of Guizhou province in China. Their structures were elucidated on the basis of spectroscopic analysis. The absolute configurations of C-3 in 1 and 2 were established by comparison of their CD data with those of known compounds. Compounds 1–6 showed anti-microbial activities with MIC values in the range of 50∼100 μg/mL against Candida albicans, Staphylococcus epidermidis, Bacillus subtilis, and Escherichia coli. Graphical Abstract
Clinical Significance and Therapeutic Implication of Nocturnal Hypertension: Relationship between Nighttime Blood Pressure and Quality of Sleep

Recent global hypertension guidelines recommend an early, strict and 24-hour blood pressure (BP) control for the prevention of target organ damage and cardiovascular events. Out-of-office BP measurement such as ambulatory BP monitoring and home BP monitoring is now widely utilized to rule out white-coat hypertension, to detect masked hypertension, to evaluate the effects of antihypertensive medication, to analyze diurnal BP variation, and to increase drug adherence. Nocturnal hypertension has been neglected in the management of hypertension despite of its clinical significance. Nighttime BP and non-dipping patterns of BP are stronger risk predictors for the future cardiovascular mortality and morbidity than clinic or daytime BP. In addition to ambulatory or home daytime BP and 24-hour mean BP, nocturnal BP should be a new therapeutic target for the optimal treatment of hypertension to improve prognosis in hypertensive patients. This review will provide an overview of epidemiology, characteristics, and pathophysiology of nocturnal hypertension and clinical significance, therapeutic implication and future perspectives of nocturnal hypertension will be discussed.
Morphological and universal devoicing in English and Swedish

Voicing alternations in English and Swedish have been analyzed as assimilating a voiced consonant to a voiceless consonant bidirectionally by Anderson (1979) and Halle and Mohanan (1985), among others. According to these accounts, when one of the obstruents in the cluster is voiceless, the other also becomes voiceless, irrespective of their relative temporal order. Expanding on Cho (1990a, b), I argue against the traditional assimilation accounts, and propose several arguments for the position that earlier level voicing agreement in English and Swedish is due to morphologically conditioned devoicing whereas voicing alternation in inflection and in the postlexical domain is triggered by Universal Devoicing. The paper is organized as follows. First, several pieces of independent evidence will be summarized to argue for the position that voicing is a privative feature. Second, a brief typology of voicing assimilation will be presented in which only one value of the feature [voice] is motivated. Third, a universal constraint regarding a voicing contour within a syllable will be argued for. Finally, voicing agreement in English and Swedish will be accounted for by two independent mechanisms.
A Novel Tool for Automated Design of Analog Integrated Circuits

This paper presents a novel optimization tool, whic h was made for the design of the analog integrated circuits. The proposed tool is based on the robust version of the differential evolution optimization algorithm. Corners of technology, temperature, voltage and current suppli es are taken into account during the optimization. This ensures robust resulting circuits. These circuits u sually do not need any schematic change and are rea dy for the layout. The developed tool is implemented directly to the Cadence design environment to achieve very s hort setup time of the optimizations. The design automat ion procedure was enhanced by novel optimization wa tchdog feature. It was created to control optimization pro gress and to reduce the search space to produce bet ter circuits in shorter time. Another novel feature for accurate design of current mirrors was created and implemen ted to the tool. The novel tool and features were successfully tested by optimization of two design examples.
Ageing and use of complex product interfaces

This paper presents an experiment designed to investigate if redundancy in an interface has any impact on the use of complex interfaces by older people and people with low prior-experience with technology. The important findings of this study were that older people (65+ years) completed the tasks on the Words only based interface faster than on Redundant (text and symbols) interface. The rest of the participants completed tasks significantly faster on the Redundant interface. From a cognitive processing perspective, sustained attention (one of the functions of Central Executive) has emerged as one of the important factors in completing tasks on complex interfaces faster and with fewer of errors.
Gaze coordination with strides during walking in the cat

Vision plays a crucial role in guiding locomotion in complex environments, but the coordination between gaze and stride is not well understood. The coordination of gaze shifts, fixations, constant gaze and slow gaze with strides in cats walking on different surfaces were examined. It was found that gaze behaviours are coordinated with strides even when walking on a flat surface in the complete darkness, occurring in a sequential order during different phases of the stride. During walking on complex surfaces, gaze behaviours are typically more tightly coordinated with strides, particularly at faster speeds, only slightly shifting in phase. These findings indicate that the coordination of gaze behaviours with strides is not vision‐driven, but is a part of the whole body locomotion synergy; the visual environment and locomotor task modulate it. The results may be relevant to developing diagnostic tools and rehabilitation approaches for patients with locomotor deficits.
Effect of different bariatric surgeries on dietary protein bioavailability in rats.

Bariatric surgery may induce protein malabsorption, although data are scarce. This study aims at evaluating dietary protein bioavailability after different bariatric surgeries in rats. Diet-induced, obese Wistar rats were operated for vertical sleeve gastrectomy (VSG), Roux-en-Y gastric bypass (RYGB). The control group was composed of pair-fed, sham-operated rats (Sham). Two weeks after surgery, rats were fed a 15N protein meal. Protein bioavailability was assessed by determination of 15N recovery in the gastrointestinal tract and organs 6 h after the meal. Fractional protein synthesis rate (FSR) was assessed using a flooding dose of 13C valine. Weight loss was the highest in RYGB and the lowest in Sham. Surprisingly, RYGB (95.6 ± 0.7%) improved protein digestibility (P=0.045) compared to Sham (93.5 ± 0.5%) and VSG (93.8 ± 0.6%). In contrast, 15N retained in the liver (P=0.001) and plasma protein (P=0.037) was lower than in Sham, with a similar trend in muscle (P=0.052). FSR was little altered by bariatric surgery except for a decrease in the kidney of RYGB (P = 0.02). The 15N distribution along the small intestinal tissue suggests that dietary nitrogen was considerably retained in the remodeled mucosa of RYGB compared to Sham. This study revealed that in contrast to VSG, RYGB slightly improved protein digestibility but altered peripheral protein bioavailability. This effect may be ascribed to a higher uptake of dietary amino acids by the remodeled intestine.
Association between obesity type and obstructive coronary artery disease in stable symptomatic postmenopausal women: data from the KoRean wOmen'S chest pain rEgistry (KoROSE).

OBJECTIVES This study investigated the association between obesity type and obstructive coronary artery disease (CAD) in postmenopausal women. METHODS Study data were obtained from a nation-wide registry, composed of 659 women older than 55 years with chest pain undergoing elective invasive coronary angiography in the suspicion of CAD. Obstructive CAD was defined as angiographic findings of ≥50% diameter stenosis with any major epicardial coronary artery. Overall obesity was defined as a body mass index of ≥25 kg/m, and central obesity was defined as a waist circumference of ≥85 cm. RESULTS A total of 311 women (47.2%) had obstructive CAD. The incidence of overall obesity was not different between participants with and without obstructive CAD (P = 0.340), but the prevalence of obstructive CAD was significantly higher in participants with central obesity than those without (55.5% vs 41.0%, P < 0.001). There was no significant difference in body mass index between participants with and without obstructive CAD (P = 0.373). Multivariable analysis showed that central obesity was associated with obstructive CAD even after controlling for potential confounders (odds ratio, 1.61; 95% confidence interval, 1.10-2.34; P = 0.013). However, overall obesity was not associated with obstructive CAD in the same multivariable analysis (P = 0.228). CONCLUSIONS Central obesity but not overall obesity is associated with obstructive CAD in postmenopausal women with stable chest pain undergoing invasive coronary angiography. : Video Summary: Supplemental Digital Content 1, http://links.lww. com/MENO/A440.
Cloud Search Service: Using Multi-Keyword Search Query

— Our project is summarized in two aspects: multi-keyword ranked search to achieve more accurate search results and synonym-based to support synonym queries. Extensive experiments on real-world dataset were performed to validate the approach showing that the proposed solution is very effective and efficient for multi-keyword ranked searching in a cloud environment. Even when user doesn’t know exact or synonym of keywords of encrypted data, he can try searching it by its meaning in natural language. Word Net method makes the search scheme even more reliable and better.