Miracle-dz/UniFAR-FTUs huggingface dataset:
dp53 Restrains Ectopic Neural Stem Cell Formation in the Drosophila Brain in a Non-Apoptotic Mechanism Involving Archipelago and Cyclin E

Accumulating evidence suggests that tumor-initiating stem cells or cancer stem cells (CSCs) possibly originating from normal stem cells may be the root cause of certain malignancies. How stem cell homeostasis is impaired in tumor tissues is not well understood, although certain tumor suppressors have been implicated. In this study, we use the Drosophila neural stem cells (NSCs) called neuroblasts as a model to study this process. Loss-of-function of Numb, a key cell fate determinant with well-conserved mammalian counterparts, leads to the formation of ectopic neuroblasts and a tumor phenotype in the larval brain. Overexpression of the Drosophila tumor suppressor p53 (dp53) was able to suppress ectopic neuroblast formation caused by numb loss-of-function. This occurred in a non-apoptotic manner and was independent of Dacapo, the fly counterpart of the well-characterized mammalian p53 target p21 involved in cellular senescence. The observation that dp53 affected Edu incorporation into neuroblasts led us to test the hypothesis that dp53 acts through regulation of factors involved in cell cycle progression. Our results show that the inhibitory effect of dp53 on ectopic neuroblast formation was mediated largely through its regulation of Cyclin E (Cyc E). Overexpression of Cyc E was able to abrogate dp53′s ability to rescue numb loss-of-function phenotypes. Increasing Cyc E levels by attenuating Archipelago (Ago), a recently identified transcriptional target of dp53 and a negative regulator of Cyc E, had similar effects. Conversely, reducing Cyc E activity by overexpressing Ago blocked ectopic neuroblast formation in numb mutant. Our results reveal an intimate connection between cell cycle progression and NSC self-renewal vs. differentiation control, and indicate that p53-mediated regulation of ectopic NSC self-renewal through the Ago/Cyc E axis becomes particularly important when NSC homeostasis is perturbed as in numb loss-of-function condition. This has important clinical implications.
Fault accommodation in nonlinear and linear dynamic systems: Fault decoupling based approach

Solution to the problem of fault accommodation in nonlinear and linear dynamic systems is related to constructing the control law which provides full decoupling with respect to fault effects. Special mathematical techniques called algebra of functions complemented by differential geometrical tools are considered to solve the fault decoupling problem. Existing conditions are formulated and calculating relations are given for the control law in nonlinear and linear cases.
Monitoring of “urban villages” in Shenzhen, China from high-resolution GF-1 and TerraSAR-X data

Urban villages comprise mainly low-rise and congested, often informal settlements surrounded by new constructions and high-rise buildings whereby structures can be very different between neighboring areas. Monitoring urban villages and analyzing their characteristics are crucial for urban development and sustainability research. In this study, we carried out a combined analysis of multispectral GaoFen-1 (GF-1) and high resolution TerraSAR-X radar (TSX) imagery to extract the urban village information. GF-1 and TSX data are combined with the Gramshmidt spectral sharpening method so as to provide new input data for urban village classification. The Grey-Level Co-occurrence Matrix (GLCM) approach was also applied to four directions to provide another four types (all, 0°, 90°, 45° directions) of TSX-based inputs for urban village detection. We analyzed the urban village mapping performance using the Random Forest approach. The results demonstrate that the best overall accuracy and the best producer accuracy of urban villages reached with the GLCM 90° dataset (82.33%, 68.54% respectively). Adding single polarization TSX data as input information to the optical image GF-1 provided an average product accuracy improvement of around 7% in formal built-up area classification. The SAR and optical fusion imagery also provided an effective means to eliminate some layover, shadow effects, and dominant scattering at building locations and green spaces, improving the producer accuracy by 7% in urban area classification. To sum up, the added value of SAR information is demonstrated by the enhanced results achievable over built-up areas, including formal and informal settlements.
Product Adoption Rate Prediction: A Multi-factor View

As the worlds of commerce and Internet technology become more inextricably linked, a large number of user consumption series become available for creative use. A critical demand along this line is to predict the future product adoption for the merchants, which enables a wide range of applications such as targeted marketing. However, previous works only aimed at predicting if one user will adopt this product or not; the problem of adoption rate (or percentage of use) prediction for each user is still underexplored due to the complexity of user decision-making process. To that end, in this paper we present a comprehensive study for this product adoption rate prediction problem. Specifically, we first introduce a decision function to capture the change of users’ product adoption rate, where various factors that may influence the decision can be generally leveraged. Then, we propose two models to solve this function, the Generalized Adoption Model (GAM) that assumes all users are influenced equally by these factors and the Personalized Adoption Model (PAM) that argues each factor contributes differently among people. Furthermore, we extend the PAM to a totally Bayesian model (BPAM) that can automatically learn all parameters. Finally, extensive experiments on two real-world datasets not only show the improvement of our proposed three models, but also give insights to track the effects of the various factors for product adoption decisions.
Robust multi-criteria optimal fuzzy control of continuous-time nonlinear systems

This paper presents a novel fuzzy control design of continuous-time nonlinear systems with multiple performance criteria. The purpose behind this work is to improve the traditional fuzzy controller performance to satisfy several performance criteria simultaneously to secure quadratic optimality with inherent stability property together with dissipativity type of disturbance reduction. The Takagi-Sugeno type fuzzy model is used in our control system design. By solving an LMI at each time, the control solution can be found to satisfy mixed performance criteria. The effectiveness of the proposed technique is demonstrated by simulation of the control of the inverted pendulum on a cart.
A low phase noise VCO employing tunable stubs loaded nested split-ring resonator

In this paper, a low phase noise VCO employing tunable stubs loaded nested split-ring resonator (SLNSRR) has been proposed By loading anti-pair varactors at each side of the SLNSRR, the center frequency of the SLNSRR filter can be tuned from 1.82 GHz to 2.18 GHz. In the oscillator design, the tunable SLNSRR filter is used as a frequency stable element to select the oscillation frequency while keeping the low phase noise performance. To validate the method, an L-band to S-band VCO is designed, fabricated and measured. The measured results show that the proposed VCO has a frequency tuning range from 1.787 GHz to 2.117 GHz with a 16.9 % bandwidth. Over this frequency range, the phase noises measured at 1 MHz frequency offset are better than −113.49 dBc/Hz.
Curve Profiling Feature: Novel Compact Representation for Drosophila Embryonic Gene Expression Pattern Mining

Curve Profiling Feature (CPF) is an innovative compact and discriminative feature for representing and mining the temporal-spatial patterns underlying Drosophila embryonic gene expressions from the Berkeley Drosophila Genome Project (BDGP) in situ hybridization (ISH) database. CPF is calibration-free, unaffected by differences in individual embryonic size or shape, biologically inspired, and can significantly reduce data dimensionality. Moreover, CPF can identify spatial periodic patterns – a nontrivial concern by previous methods. Quantitative evaluations by controlled vocabulary annotation prediction and gene function enrichment with Gene Ontology knowledge base showed that our CPF achieves comparable performance as state-of-the-art Bag-Of-Words model while requires much less space and time. Application systems are also proposed to help biologists in different aspects including predicting annotations and gene functional enrichment, visualization based on manifold learning, content-based gene expression pattern retrieval with synthesized query.
A load-balancing structured store model on P2P network

This paper proposed a structured p2p model called balance-peer, introduce a method to partition the data rang without any global information on the load to. Our Balance-peer model is used to realize a partition-by-keyword indexing service based on DHT with each node in the system responsible for part of the keywords of the inverted index list. In this paper we use the concept of data partition in parallel databases to realize the load balance in P2P systems. At last this paper has the performance test. The result convinces us that our storage balance strategy is valid.
Electrocorticography and stimulation

Although acute electrocorticography (ECoG) is routinely used during epilepsy surgery there is little agreement as to its value nor criteria for its interpretation. Specific issues are reviewed on the basis of the literature and personal studies: does failure to resect the entire irritative zone prejudice seizure control, and are residual discharges predictive of failure; does activation of the ECoG by intravenous barbiturates provide information of clinical value; does intraoperative electrical stimulation help to improve localisation or avoid postoperative deficits; is the ECoG of value for monitoring functional procedures; can the value of ECoG be increased by new interpretive approaches? It is suggested that resection of the entire area of interictal discharge is not essential for satisfactory surgical outcome, but a distinction may need to be made between those discharging regions that function as pacemakers and those in which ECoG spikes appear secondarily. There is also evidence that, apart from any consideration of determining the area resected, the topography of epileptiform discharge may be predictive of pathology and surgical outcome. It is concluded that more detailed topographic and quantitative analysis of the ECoG is required before its value in planning surgery can be determined or objective interpretive criteria established.
Squamous-Lined Cyst of Pancreas with unusual Plexiform Neuronal Hyperplasia: A Case Report and Review of the Literature

A 61-year old female presented with a unilocular cyst in the tail of the pancreas. The cyst was lined partly by squamous and lowcuboidal epithelium and did not communicate with the pancreatic ductal system. Much of the lining was denuded with underlying mixed inflammation and extensive fibrosis. No ovarian stroma was identified despite extensive sampling and immunohistochemical staining. An additional curious finding was that of extensive neuronal hyperplasia surrounding the cyst wall. It consisted of nerves bundles of varying size and had a distinct plexiform pattern. The patient did not have a history or the clinical stigmata of neurofibromatosis. This is an unusual case of a primary squamous or epidermoid cyst of the pancreas with associated reactive plexiform neuronal hyperplasia.
Improvement of photoresponse in MoS2 BY SnO2-functionalization and its application to flexible and transparaent photodetector

We demonstrate an improved photoresponse of molybdenum disulfide (MoS2) functionalized with tin oxide (SnO2) and present its application to flexible and transparent photodetector Under illumination by visible light, SnO2-functionalized MoS2 induces the transfer of photo-generated electrons from MoS2 to SnO2 preventing the recombination of photo-excited electron-hole pairs. This photo-induced carrier separation process leads to p-type doping of MoS2, resulting in an increase of current. Accordingly, SnO2-functionalized MoS2 exhibited dramatically improved photoresponse (480%) compared to pristine MoS2. The photodetector fabricated on polyethylene terephthalate (PET) substrate also exhibited high flexibility and transparency, which is advantageous for various applications such as electronic eyes, wearable sensors, and other optoelectronics.
Dispersed Knowledge With in Markets and Companies

General economic thinking considerably influences Market Based Management (MBM). Opportunity-cost, marginalanalysis, creative-destruction and more, are rooted in economic thought. However, what about central planning? In the “Use of Knowledge in Society” Hayek was careful to distinguish between “central planning” by the government, which he thought was damaging and decentralized planning by individuals and organizations, which led to advantageous competition. The Market Based Management method tries to find ways to adapt the principles of a free society and market economy to advance management practice in organizations. Hayek argues that given the heavy oratorical emphasis on markets, it should come as no wonder that Market Based Management ideas have attracted attention from individuals in the varied field of organizational economics. Contrariwise, some academics in management and other social sciences express doubts, precisely because they perceive all the market based talk to be a form of monetaryimperialism that seeks to reduce all human behavior to hyper-rational self-interested enhancing.
Distributed Mobile Services and Interfaces for People Suffering from Cognitive Deficits

The mobile device presented here is designed to offer several services to enhance autonomy, security, and communication for the cognitively impaired people and their caregivers. Two mobile devices are linked through a server; one is dedicated to the patient, the other one to the caregivers. The services fill three functions for patients: a simplified reminder, an assistance request service, and an ecological information gathering service. Three services are available for the caregiver: monitoring patients’ADLs, informing system and colleagues of an intervention, and planning patients’ ADLs.
Vacuum oscillations in the supersymmetric standard model.

We analyze the spectrum and mixing among neutrinos in the minimal supersymmetric standard model with explicit breaking of [ital R] parity. It is shown that (i) the mixing among neutrinos could be large and (ii) the nonzero neutrino mass is constrained to be [le]10[sup [minus]5] eV from arguments based on baryogenesis. Thus vacuum oscillations of neutrinos in this model may offer a solution of the solar neutrino problem. The allowed space of the supersymmetric parameters consistent with this solution is determined.
Diet, Nutrition, and Bone Health 1,2

Osteoporosis is a debilitating disease that affects many older people. Fragility fractures are the hallmark of osteoporosis. Although nutrition is only 1 of many factors that influence bone mass and fragility fractures, there is an urgent need to develop and implement nutritional approaches and policies for the prevention and treatment of osteoporosis that could, with time, offer a foundation for population-based preventive strategies. However, to develop efficient and precocious strategies in the prevention of osteoporosis, it is important to determine which modifiable factors, especially nutritional factors, are able to improve bone health throughout life. There are potentially numerous nutrients and dietary components that can influence bone health, and these range from the macronutrients to micronutrients as well as bioactive food ingredients. The evidence-base to support the role of nutrients and food components in bone health ranges from very firm to scant, depending on the nutrient/component. This article initially overviews osteoporosis, including its definition, etiology, and incidence, and then provides some information on possible dietary strategies for optimizing bone health and preventing osteoporosis. The potential benefits of calcium, vitamin D, vitamin K1, phytoestrogens, and nondigestible oligosaccharides are briefly discussed, with particular emphasis on the evidence base for their benefits to bone. It also briefly considers some of the recent findings that highlight the importance of some dietary factors for bone health in childhood and adolescence. J. Nutr. 137: 2507S‐2512S, 2007.
Hardware acceleration with pipelined adder for Support Vector Machine classifier

In this paper, a hardware implementation of Support Vector Machine (SVM) classifier for acceleration has been proposed based on pipelined adder, in which the speedups outperform other existing architectures. The adder whose critical path has been efficiently shortened by pipeline technology, constituted the main arithmetic elements in SVM processing. Therefore, a higher processing frequency and throughput have been achieved. Synthesize results in Design Compiler have shown that the operating frequency of the parallel processing elements can reach to 1.16GHz. 1.44X and 1.21X speedups are gained compared with implementations using RCA and KS adder with little area overhead and 3.5X GMACs improvement than other existing architectures on FPGA is obtained.
An Integrative Scoring Approach to Identify Transcriptional Regulations Controlling Lung Surfactant Homeostasis

Transcriptional regulatory network identification is both a fundamental challenge in systems biology and an important practical application of data mining and machine learning. In this study, we propose a semi-supervised learning-based integrative scoring approach to tackle this challenge and predict transcriptional regulations. Our approach out-performs a state-of-the-art label propagation method and reaches AUC scores above 0.96 for three datasets from microarray experiments in the validation. A map of the transcriptional regulatory network controlling lung surfactant homeostasis was constructed. The predicted and prioritized transcriptional regulations were further validated through experimental verifications. Many other predicted novel regulations may serve as candidates for future experimental investigations.
A novel solution for effective utilization of UC stored energy in battery/UC hybrid energy storage systems

Energy storage systems (ESSs) are of crucial importance in electric vehicles (EVs). Batteries as the best existing storage solution have been used widely in EV applications. ESSs based on batteries are simple but have several challenges. Main issue of them is that the power density of batteries is not high enough to meet the high power demands of EVs. Hybrid energy storage systems (HESSs) consisting of batteries and ultra-capacitors are proposed to mitigate this issue. In this paper effective utilization of stored energy of UCs as a main challenge in designing HESSs is introduced and a novel solution is proposed.
A practical comparison of manual and autonomous methods for acoustic monitoring

Autonomous acoustic recorders are widely available and can provide a highly efficient method of species monitoring, especially when coupled with software to automate data processing. However, the adoption of these techniques is restricted by a lack of direct comparisons with existing manual field surveys. We assessed the performance of autonomous methods by comparing manual and automated examination of acoustic recordings with a field‐listening survey, using commercially available autonomous recorders and custom call detection and classification software. We compared the detection capability, time requirements, areal coverage and weather condition bias of these three methods using an established call monitoring programme for a nocturnal bird, the little spotted kiwi (Apteryx owenii). The autonomous recorder methods had very high precision (>98%) and required <3% of the time needed for the field survey. They were less sensitive, with visual spectrogram inspection recovering 80% of the total calls detected and automated call detection 40%, although this recall increased with signal strength. The areal coverage of the spectrogram inspection and automatic detection methods were 85% and 42% of the field survey. The methods using autonomous recorders were more adversely affected by wind and did not show a positive association between ground moisture and call rates that was apparent from the field counts. However, all methods produced the same results for the most important conservation information from the survey: the annual change in calling activity. Autonomous monitoring techniques incur different biases to manual surveys and so can yield different ecological conclusions if sampling is not adjusted accordingly. Nevertheless, the sensitivity, robustness and high accuracy of automated acoustic methods demonstrate that they offer a suitable and extremely efficient alternative to field observer point counts for species monitoring.
The influence of music type and transmission mode on food intake and meal duration: An experimental study

The influence of auditory stimuli and their transmission mode on food intake and meal duration was assessed in healthy adults (73 male, 74 female) under laboratory conditions. The participants (18–30 years old) were randomized to one of five lunch groups. Five conditions were compared: eating in silence (control condition), eating while listening to background music via loudspeakers, eating while listening to background music via headphones, eating while listening to pop songs with English vocals and eating while listening to pop songs with German vocals. Results showed no association between listening to songs with different emotion-arousing potential and the amount of food consumed. Within-group comparisons revealed longer meal durations while listening to English music and unfamiliar background music via headphones than while listening to familiar German pop songs. The difference with the control condition just failed to reach significance. No differences were found for transmission mode. Further studies to examine the influence of music on food intake and eating behaviour, especially under controlled conditions, are needed.
Metagenomics of Microbial Communities in Gallbladder Bile from Patients with Gallbladder Cancer or Cholelithiasis

Salmonella typhi and Helicobacter infections have been shown to increase risk of gallbladder cancer (GBC), but findings have been inconsistent. Other bacterial infections may also be associated with GBC. However, information on microbial pathogens in gallbladder bile of GBC patients is scarce. We aimed to investigate the microbial communities in gallbladder bile of patients with GBC and cholelithiasis (CL). Seven GBC patients and 30 CL patients were enrolled in this study. Genomic DNA was extracted from bile and the V3-V4 region of 16S rRNA was amplified. The sequencing results were compared with the 16S database, and the bacteria were identified by homology searches and phylogenetic analysis. DNA was detected in the bile of three GBC (42.9%; Bolivia, 1; Chile, 2) and four CL patients (13.3%; Bolivia, 1; Chile, 3). Of the 37 patients, 30 (81.1%) were negative and unable to analyze. Salmonella typhi and Helicobacter sp. were not detected in bile from any GBC patients. As the predominant species, Fusobacterium nucleatum, Escherichia coli, and Enetrobacter sp. were detected in bile from GBC patients. Those in bile from CL patients were Escherichia coli, Salmonella sp. , and Enerococcus gallinarum. Escherichia coli was detected in bile samples from both GBC and CL patients. Whether the bacteria detected in bile from GBC patients would associated with the development of GBC warrant further investigation.