Miracle-dz/UniFAR-FTUs huggingface dataset:
A Survey to Predict the Trend of AI-able Server Evolution in the Cloud

About a decade ago, people concerned about the risks of adopting cloud computing. It was an unproven new thing that raised more questions than it answered. Nowadays, we hear more about the risks of not adopting the cloud. Three of the leading cloud players, Amazon Web Services, Microsoft Azure, and Google Cloud Platform, and other participants have developed complex cloud platforms that are driving the cloud agenda and launching innovative new products to meet the needs of modern businesses. When looking at processors, core components of the cloud, there is a trend for hyperscale data centers is to move beyond the CPUs and turn to dedicated chips, such as graphics processing units, field programmable gating arrays, and application specific integrated circuits. We think it is an artificial intelligence (AI) realization process and provide a detailed survey about hardware server design in this process. After discussing and summarizing various disclosed techniques and platforms, we conceived a hybrid hardware structure for efficient AI applications.
Text Proposals Based on Windowed Maximally Stable Extremal Region for Scene Text Detection

The generation of text proposals (i.e. local candidate regions most likely containing textual components) is one critical and prerequisite step in scene text detection task. As one popular text proposal algorithm, the Maximally Stable Extremal Region (MSER), has been exploited by many successful text detection methods, while on the other hand has difficulties in handling complicated scene text involving touching characters and characters composed of multiple unconnected parts (e.g. Chinese characters and text in dot matrix fonts). In this paper, we propose a novel text proposal method for localizing text in natural images, which integrates the MSER algorithm with the multi-scale sliding window framework and efficiently extracts Windowed Maximally Stable Extremal Regions (WMSERs) as text proposals. We further present effective proposal filtering and grouping algorithms for exploiting WMSER-based proposals in text detection task. Experiments on public scene text datasets demonstrate the promising aspects of the proposed method in dealing with complicated scene text.
Marital quality and health: a meta-analytic review.

This meta-analysis reviewed 126 published empirical articles over the past 50 years describing associations between marital relationship quality and physical health in more than 72,000 individuals. Health outcomes included clinical endpoints (objective assessments of function, disease severity, and mortality; subjective health assessments) and surrogate endpoints (biological markers that substitute for clinical endpoints, such as blood pressure). Biological mediators included cardiovascular reactivity and hypothalamic-pituitary-adrenal axis activity. Greater marital quality was related to better health, with mean effect sizes from r = . 07 to . 21, including lower risk of mortality (r = .11) and lower cardiovascular reactivity during marital conflict (r = -.13), but not daily cortisol slopes or cortisol reactivity during conflict. The small effect sizes were similar in magnitude to previously found associations between health behaviors (e.g., diet) and health outcomes. Effect sizes for a small subset of clinical outcomes were susceptible to publication bias. In some studies, effect sizes remained significant after accounting for confounds such as age and socioeconomic status. Studies with a higher proportion of women in the sample demonstrated larger effect sizes, but we found little evidence for gender differences in studies that explicitly tested gender moderation, with the exception of surrogate endpoint studies. Our conclusions are limited by small numbers of studies for specific health outcomes, unexplained heterogeneity, and designs that limit causal inferences. These findings highlight the need to explicitly test affective, health behavior, and biological mechanisms in future research, and focus on moderating factors that may alter the relationship between marital quality and health.
Lessons Learned Through the Implementation of an eHealth Physical Activity Gaming Intervention with High School Youth.

OBJECTIVE To encourage high school students to meet physical activity goals using a newly developed game, and to document the feasibility, benefits, and challenges of using an electronic gaming application to promote physical activity in high school students. MATERIALS AND METHODS Working with youth and game designers an electronic game, Camp Conquer, was developed to motivate high school students to meet physical activity goals. One-hundred-five high school students were recruited to participate in a 12-week pilot test of the game and randomly assigned to a Game Condition or Control Condition. Students in both conditions received a FitBit to track their activity, and participants in the Game Condition received access to Camp Conquer. Number of steps and active minutes each day were tracked for all participants. FitBit use, game logins, and qualitative feedback from researchers, school personnel, and participants were used to determine intervention engagement. RESULTS The majority of study participants did not consistently wear their FitBit or engage with the gaming intervention. Numerous design challenges and barriers to successful implementation such as the randomized design, absence of a true school-based champion, ease of use, and game glitches were identified. CONCLUSION Developing games is an exciting technique for motivating the completion of a variety of health behaviors. Although the present intervention was not successful in increasing physical activity in high school students, important lessons were learned regarding how to best structure a gaming intervention for the high school population.
The allosteric communication pathways in KIX domain of CBP

Allosteric regulation plays an important role in a myriad of biomacromolecular processes. Specifically, in a protein, the process of allostery refers to the transmission of a local perturbation, such as ligand binding, to a distant site. Decades after the discovery of this phenomenon, models built on static images of proteins are being reconsidered with the knowledge that protein dynamics plays an important role in its function. Molecular dynamics simulations are a valuable tool for studying complex biomolecular systems, providing an atomistic description of their structure and dynamics. Unfortunately, their predictive power has been limited by the complexity of the biomolecule free-energy surface and by the length of the allosteric timescale (in the order of milliseconds). In this work, we are able to probe the origins of the allosteric changes that transcription factor mixed lineage leukemia (MLL) causes to the interactions of KIX domain of CREB-binding protein (CBP) with phosphorylated kinase inducible domain (pKID), by combing all-atom molecular dynamics with enhanced sampling methods recently developed in our group. We discuss our results in relation to previous NMR studies. We also develop a general simulations protocol to study allosteric phenomena and many other biological processes that occur in the micro/milliseconds timescale.
Tyrosine hydroxylase down-regulation after loss of Abelson helper integration site 1 (AHI1) promotes depression via the circadian clock pathway in mice

Abelson helper integration site 1 (AHI1) is associated with several neuropsychiatric and brain developmental disorders, such as schizophrenia, depression, autism, and Joubert syndrome. Ahi1 deficiency in mice leads to behaviors typical of depression. However, the mechanisms by which AHI1 regulates behavior remain to be elucidated. Here, we found that down-regulation of expression of the rate-limiting enzyme in dopamine biosynthesis, tyrosine hydroxylase (TH), in the midbrains of Ahi1-knockout (KO) mice is responsible for Ahi1-deficiency–mediated depressive symptoms. We also found that Rev-Erbα, a TH transcriptional repressor and circadian regulator, is up-regulated in the Ahi1-KO mouse midbrains and Ahi1-knockdown Neuro-2a cells. Moreover, brain and muscle Arnt-like protein 1 (BMAL1), the Rev-Erbα transcriptional regulator, is also increased in the Ahi1-KO mouse midbrains and Ahi1-knockdown cells. Our results further revealed that AHI1 decreases BMAL1/Rev-Erbα expression by interacting with and repressing retinoic acid receptor–related orphan receptor α, a nuclear receptor and transcriptional regulator of circadian genes. Of note, Bmal1 deficiency reversed the reduction in TH expression induced by Ahi1 deficiency. Moreover, microinfusion of the Rev-Erbα inhibitor SR8278 into the ventral midbrain of Ahi1-KO mice significantly increased TH expression in the ventral tegmental area and improved their depressive symptoms. These findings provide a mechanistic explanation for a link between AHI1-related behaviors and the circadian clock pathway, indicating an involvement of circadian regulatory proteins in AHI1-regulated mood and behavior.
Carbon Solubility and Phase Composition of Silicomanganese

This paper examines silicomanganese produced in the electric ferroalloy furnaces at Tasmanian Electrometallurgical Company (TEMCO). Its carbon solubility and the phase composition were determined. Silicon content is the major factor affecting carbon concentration. Temperature also plays an important role in the carbon concentration. Silicomanganese consists of three phases: the silicides (Mn,Fe)5Si3 with approximately 0.7 wt% dissolved carbon and (Mn,Fe)3Si with a carbon content of 0 ‐ 0.6 wt%, and carbide (Mn,Fe)17Si4C3 with 3.3 wt% C. The fraction of carbide phase increased directly with increasing total carbon in the alloy. Silicon carbide was not detected. Reasonable estimates of carbon content are possible using the carbon‐silicon equilibrium relationship to the SiMn production process of TEMCO.
Higher levels of kallikrein‐8 in female brain may increase the risk for Alzheimer's disease

Women seem to have a higher vulnerability to Alzheimer's disease (AD), but the underlying mechanisms of this sex dichotomy are not well understood. Here, we first determined the influence of sex on various aspects of Alzheimer's pathology in transgenic CRND8 mice. We demonstrate that beta‐amyloid (Aβ) plaque burden starts to be more severe around P180 (moderate disease stage) in female transgenics when compared to males and that aging aggravates this sex‐specific difference. Furthermore, we show that female transgenics suffer from higher levels of neurovascular dysfunction around P180, resulting in impaired Aβ peptide clearance across the blood‐brain‐barrier at P360. Female transgenics show also higher levels of diffuse microgliosis and inflammation, but the density of microglial cells surrounding Aβ plaques is less in females. In line with this finding, testosterone compared to estradiol was able to improve microglial viability and Aβ clearance in vitro. The spatial memory of transgenics was in general poorer than in wildtypes and at P360 worse in females irrespective of their genotype. This difference was accompanied by a slightly diminished dendritic complexity in females. While all the above‐named sex‐differences emerged after the onset of Aβ pathology, kallikrein‐8 (KLK8) protease levels were, as an exception, higher in female than in male brains very early when virtually no plaques were detectable. In a second step, we quantified cerebral KLK8 levels in AD patients and healthy controls, and could ascertain, similar to mice, higher KLK8 levels not only in AD‐affected but also in healthy brains of women. Accordingly, we could demonstrate that estradiol but not testosterone induces KLK8 synthesis in neuronal and microglial cells. In conclusion, multiple features of AD are more pronounced in females. Here, we show for the first time that this sex‐specific difference may be meditated by estrogen‐induced KLK8 overproduction long before AD pathology emerges.
Scaling k-Nearest Neighbours Queries (The Right Way)

Recently parallel / distributed processing approaches have been proposed for processing k-Nearest Neighbours (kNN) queries over very large (multidimensional) datasets aiming to ensure scalability. However, this is typically achieved at the expense of efficiency. With this paper we offer a novel approach that alleviates the performance problems associated with state of the art methods. The essence of our approach, which differentiates it from related research, rests on (i) adopting a coordinator-based distributed processing algorithm, instead of those employed over data-parallel executionengines (such as Hadoop/MapReduce or Spark), and (ii) on a way to organize data, to structure computation, and to index the stored datasets that ensures that only a very small number of data items are retrieved from the underlying data store, communicated over the network, and processed by the coordinatorfor every kNN query. Our approach also pays special attention to ensuring scalability in addition to low query processing times. Overall, kNN queries can be processed in just tens of milliseconds (as opposed to the (tens of) seconds required by state of the art. We have implemented our approach, usinga NoSQL DB (HBase) as the data store, and we compare it against the state-of-the-art: the Hadoop-based Spatial Hadoop (SHadoop) and the Spark-based Simba methods. We employ different datasets of various sizes, showcasing the contributed performance advantages. Our approach outperforms the stateof the art, by 2-3 orders of magnitude, and consistently for dataset sizes ranging from hundreds of millions to hundreds of billions of data points. We also show that the key constituent performance overheads incurred during query processing (such as the number of data items retrieved from the data store, the required network bandwidth, and the processing time at the coordinator) scale very well, ensuring the overall scalability of the approach.
Photocatalyst Decolorization of Reactive Orange 5 Dye Using MgO Nano Powder and H O Solution

In the present study, a porous MgO powder was synthesized and tested for the removal of dye from aqueous solution with the use of H O solution in presence of UV radiation as a photo catalyst. The prepared 22 MgO was characterized by X-ray diffraction and transition electron microscope analysis. The size of the MgO particles was in the range of 17-37nm. Adsorption of reactive orange 5 was conducted to model azo dyes at various MgO dosages, dye concentrations, solution pH and contact times, H O concentration and radiation 22 time in a batch reactor. All the samples were measured just after radiation and after 24 hours of radiation. The results indicate that the prepared MgO nano powder can remove more than 90% of the dye.
Jackknife variance of the partial area under the empirical receiver operating characteristic curve

Receiver operating characteristic analysis provides an important methodology for assessing traditional (e.g., imaging technologies and clinical practices) and new (e.g., genomic studies, biomarker development) diagnostic problems. The area under the clinically/practically relevant part of the receiver operating characteristic curve (partial area or partial area under the receiver operating characteristic curve) is an important performance index summarizing diagnostic accuracy at multiple operating points (decision thresholds) that are relevant to actual clinical practice. A robust estimate of the partial area under the receiver operating characteristic curve is provided by the area under the corresponding part of the empirical receiver operating characteristic curve. We derive a closed-form expression for the jackknife variance of the partial area under the empirical receiver operating characteristic curve. Using the derived analytical expression, we investigate the differences between the jackknife variance and a conventional variance estimator. The relative properties in finite samples are demonstrated in a simulation study. The developed formula enables an easy way to estimate the variance of the empirical partial area under the receiver operating characteristic curve, thereby substantially reducing the computation burden, and provides important insight into the structure of the variability. We demonstrate that when compared with the conventional approach, the jackknife variance has substantially smaller bias, and leads to a more appropriate type I error rate of the Wald-type test. The use of the jackknife variance is illustrated in the analysis of a data set from a diagnostic imaging study.
Privacy-Preserving Matchmaking in Geosocial Networks with Untrusted Servers

As a major branch of LBSs, geosocial networking services become popular. An important functionality of geosocial networking services is allowing people to find potential friends who have similar profile within close proximity and initiate communication with each other. However, in order to realize this functionality, most existing services require mobile users to reveal their profiles and location information to an untrusted service provider, which may expose LBSs to vulnerabilities for abuse and endanger mobile users' privacy. To address this problem, we propose to encrypt users' profile with a new searchable encryption scheme. Combining this searchable encryption scheme with other cryptographic techniques we construct a privacy- preserving matchmaking system. Compared with a previous one that aims to solve the same problem, ours is more secure, supports more flexible functionalities and moves computationally heavy key updates to resourceful service providers.
Functional FGFR4 Gly388Arg polymorphism contributes to cancer susceptibility: Evidence from meta-analysis

Fibroblast growth factor receptor 4 (FGFR4) is a member of receptor tyrosine kinase family. A functional Gly388Arg (rs351855 G>A) polymorphism in FGFR4 gene causes a glycine-to-arginine change at codon 388 within the transmembrane domain of the receptor. Although the FGFR4 rs351855 G>A polymorphism has been implicated in cancer development, its association with cancer risk remains controversial. Here, we have systematically analyzed the association between the rs351855 G>A polymorphism and cancer risk by performing a meta-analysis of 27 studies consisting of 8,682 cases and 9,731 controls. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to measure the strength of the association. The rs351855 G>A polymorphism was associated with an increased cancer risk under the recessive model (OR=1.19, 95% CI=1.01-1.41). Stratified analysis by cancer type indicated the rs351855 G>A polymorphism was associated with an increased risk of breast and prostate cancer, but a decreased risk of lung cancer. This meta-analysis demonstrates the FGFR rs351855 G>A polymorphism is associated with increased cancer risk and suggests it could potentially serve as a chemotherapeutic target or biomarker to screen high-risk individuals.
The ATM and Rad3-Related (ATR) Protein Kinase Pathway Is Activated by Herpes Simplex Virus 1 and Required for Efficient Viral Replication

ABSTRACT The ATM and Rad3-related (ATR) protein kinase and its downstream effector Chk1 are key sensors and organizers of the DNA damage response (DDR) to a variety of insults. Previous studies of herpes simplex virus 1 (HSV-1) showed no evidence for activation of the ATR pathway. Here we demonstrate that both Chk1 and ATR were phosphorylated by 3 h postinfection (h.p.i.). Activation of ATR and Chk1 was observed using 4 different HSV-1 strains in multiple cell types, while a specific ATR inhibitor blocked activation. Mechanistic studies point to early viral gene expression as a key trigger for ATR activation. Both pATR and pChk1 localized to the nucleus within viral replication centers, or associated with their periphery, by 3 h.p.i. Significant levels of pATR and pChk1 were also detected in the cytoplasm, where they colocalized with ICP4 and ICP0. Proximity ligation assays confirmed that pATR and pChk1 were closely and specifically associated with ICP4 and ICP0 in both the nucleus and cytoplasm by 3 h.p.i. , but not with ICP8 or ICP27, presumably in a multiprotein complex. Chemically distinct ATR and Chk1 inhibitors blocked HSV-1 replication and infectious virion production, while inhibitors of ATM, Chk2, and DNA-dependent protein kinase (DNA-PK) did not. Together our data show that HSV-1 activates the ATR pathway at early stages of infection and that ATR and Chk1 kinase activities play important roles in HSV-1 replication fitness. These findings indicate that the ATR pathway may provide insight for therapeutic approaches. IMPORTANCE Viruses have evolved complex associations with cellular DNA damage response (DDR) pathways, which sense troublesome DNA structures formed during infection. The first evidence for activation of the ATR pathway by HSV-1 is presented. ATR is activated, and its downstream target Chk1 is robustly phosphorylated, during early stages of infection. Both activated proteins are found in the nucleus associated with viral replication compartments and in the cytoplasm associated with viral proteins. We also demonstrate that both ATR and Chk1 kinase activities are important for viral replication. The findings suggest that HSV-1 activates ATR and Chk1 during early stages of infection and utilizes the enzymes to promote its own replication. The observation may be exploitable for antiviral approaches.
Viscosities of Porcelains Formulated from the Weinstein Patent

The viscosities of model porcelains based on the Weinstein patent on dental porcelain were determined using the bending beam method of Hagy. Two formulations (components one and three of the patent) were obtained from a production size sample and mixed to give blends of the two components in 10% increments by weight. The viscosity values were obtained over the range of 108 to 1012 Pa·s. The porcelains displayed Newtonian behavior with respect to load, and viscosity varied according to the rule of composition fractions between the viscosity values of components one and three.
Circular RNA VMA21 protects against intervertebral disc degeneration through targeting miR-200c and X linked inhibitor-of-apoptosis protein

Objectives Circular RNAs (circRNAs) have been proven to function as competing endogenous RNAs to interact with microRNAs (miRNAs) and influence the expression of miRNA target mRNAs. In this study, we investigated whether circRNAs could act as competing endogenous RNAs to regulate the pathological process of intervertebral disc degeneration (IVDD). Methods The role and mechanism of a circRNA, circVMA21, in IVDD were explored in nucleus pulposus (NP) cells and degenerative NP tissues from patients and rat models. The interaction between circVMA21 and miR-200c as well as the target mRNA, X linked inhibitor-of-apoptosis protein (XIAP), was examined. Results The decreased expression of XIAP in the inflammatory cytokines-treated NP cells and the degenerative NP tissues was directly associated with excessive apoptosis and imbalance between anabolic and catabolic factors of extracellular matrix. miR-200c regulated NP cell viability and functions through inhibiting XIAP. circVMA21 acted as a sponge of miR-200c and functioned in NP cells through targeting miR-200c and XIAP. Intradiscal injection of circVMA21 alleviated IVDD in the rat model. Conclusions CircVMA21 could alleviate inflammatory cytokines-induced NP cell apoptosis and imbalance between anabolism and catabolism of extracellular matrix through miR-200c-XIAP pathway. It provides a potentially effective therapeutic strategy for IVDD.