Miracle-dz/UniFAR-FTUs huggingface dataset:
KAGUYA ( SELENE ) Trajectory Plans for Lunar Orbit Injection Contingency

Reported in this paper are the reconfiguration plans of translunar trajectory in case of main engine anomaly. Two contingency plans are reported in this paper. The first case shown in this paper is that, it turns out prior to the Lunar orbit injection that the main engine is unable to be used. The second case shown in this paper is that, a certain anomaly prevents the execution of the Lunar orbit injection maneuver and KAGUYA once flies by the Moon. Not only the results of the reconfigured trajectory, but also the process of the trajectory design are introduced.
APPLYING THE FUNCTIONAL EFFECTIVENESS INFORMATION INDEX IN CYBERSECURITY ADAPTIVE EXPERT SYSTEM OF INFORMATION AND COMMUNICATION TRANSPORT SYSTEMS

Developing a model for determining the functional effectiveness information criterion for expert system learning to determine the state of cybersecurity, while taking into account known statistical and distance clustering indicators of cyber threats, cyber-attacks (CA), anomalies and also errors of the third type, that may arise in the recognition of complex targeted CA on critical computer systems, including the transport sector. The model for determining the functional effectiveness information criterion of machine learning expert system is developed. It is based on modified entropy and Kullback Leibler divergence information criterion at clustering features of CA and anomalies that can receive an incoming fuzzy classified learning matrix, that is used as an object of the study, and to build correct decision rules for recognizing complex CA. Tests of the developed expert system were conducted. It is established that the proposed model can significantly increase the anomalies and CA detection effectiveness under constant increase in number and complexity of the destructive influences on computer systems information security. The model for determining the functional effectiveness information criterion capable of self-learning information security expert system is developed. It takes into account potential errors of the third type that may arise and accumulate during the learning of the intellectual system of complex targeted CA detection.
women and cell cycle regulation in young and older men and Impact of resistance loading on myostatin expression

[PDF] [Full Text] [Abstract] , August 1, 2005; 20 (4): 232-238. Physiology G. Goldspink Mechanical Signals, IGF-I Gene Splicing, and Muscle Adaptation [PDF] [Full Text] [Abstract] , November 1, 2005; 99 (5): 1897-1904. J Appl Physiol P. M. Siu and S. E. Alway stretch-induced overload Subcellular responses of p53 and Id2 in fast and slow skeletal muscle in response to [PDF] [Full Text] [Abstract] , December 1, 2005; 99 (6): 2149-2158. J Appl Physiol J.-s. Kim, D. J. Kosek, J. K. Petrella, J. M. Cross and M. M. Bamman with demonstrable sarcopenia and young men and women Resting and load-induced levels of myogenic gene transcripts differ between older adults
Implementation of Network monitoring system using Instinctive Check Packet Generation

We found, less number of test packets is enough to test all rules in networks. For example, 4000 packets can cover all rules in Stanford backbone network, while 53 are much enough to cover all links. We implemented an automated and systematic approach for testing and debugging networks by name “Instinctive Check Packet Generation” (ICPG). ICPG reads router configurations and generates a device-independent model. The model is used to generate a minimum set of test packets to (minimally) exercise every link in the network or (maximally) exercise every rule in the network. Test packets are sent periodically, and detected failures trigger a separate mechanism to localize the fault. ICPG can detect both functional (e.g., incorrect firewall rule) and performance problems (e.g., congested queue). ICPG complements but goes beyond earlier work in static checking (which cannot detect liveness or performance faults) or fault localization (which only localize faults given liveness results).
CTHRC 1 mediates IL ‐ 1 β ‐ induced apoptosis in chondrocytes via JNK 1 / 2 signaling

Osteoarthritis (OA), also known as degenerative joint disease or degenerative arthritis, is characterized by chondrocyte apoptosis. The aim of the present study was to investigate the effects of collagen triple helix repeat containing 1 (cTHRc1) and the c-Jun N-terminal kinase (JNK) 1/2 inhibitor SP600125 on rat chondrocytes cultured in vitro with interleukin (IL)-1β. chondrocytes were treated with different doses of IL-1β and cell viability and cTHRc1 expression were assessed using cell counting Kit-8 and western blot assays, respectively. In separate experiments, chondrocytes were treated with cTHRc1-expressing constructs (pLVX-Puro-cTHRc1) and/or SP600125, or IL-1β with either cTHRc1 short hairpin (sh)RNA constructs (shNRA-cTHRc1) or SP600125. The expression of cTHRc1, B-cell lymphoma (Bcl)-2, Bcl-2-associated X protein (Bax), cleaved caspase-3, poly AdP ribose polymerase (PARP)-1 and matrix metalloproteinase (MMP)-13 was measured using reverse transcription-quantitative polymerase chain reaction and western blotting assays. A cell counting Kit-8 assay was performed to examine cell viability. Annexin V/propidium iodide staining and flow cytometry assays were used to detect chondrocyte apoptosis. The expression of JNK1/2 and phosphorylated JNK1/2 was measured using western blotting. cTHRc1 was highly expressed in patients with OA compared with normal controls. IL-1β treatment (5, 10 and 20 ng/ml) increased the protein expression of cTHRc1 in a dose-dependent manner and decreased the viability of chondrocytes in a time-dependent manner. pLVX-Puro-cTHRc1 mimics the effect of IL-1β on chondrocyte apoptosis and JNK1/2 activity, and this is reversed by SP600125 treatment. However, transfection with shRNA-cTHRc1 or treatment with SP600125 inhibited IL-1β-induced cell apoptosis and JNK1/2 activation. These results indicate that cTHRc1 downregulation may protect chondrocytes from IL-1β-induced apoptosis by inactivating the JNK1/2 pathway.
Optimization of a Bioremediation Strategy for an Urban Stream of Matanza-Riachuelo Basin

In the present work, a remediation bioprocess based on the use of a local isolate of the microalgae Chlorella vulgaris immobilized in alginate beads is proposed. This process was shown to be effective for the reduction of several chemical and microbial contaminants present in Cildáñez stream, a water course that is part of the Matanza-Riachuelo Basin (Buenos Aires, Argentina). The bioprocess, involving the culture of the microalga in autotrophic conditions in a stirred-tank bioreactor supplied with a marine propeller for 6 days, allowed a significant reduction of Escherichia coli and total coliform numbers (over 95%), as well as of ammoniacal nitrogen (96%), nitrates (86%), nitrites (98%), and total phosphorus (53%) contents. Pb content was also significantly diminished after the bioprocess (95%). Standardized cytotoxicity tests using Allium cepa seeds and Cildáñez water preand post-remediation were also performed. Germination rate and mitotic index of onion seeds imbibed in Cildáñez water subjected to the bioprocess was similar to that observed in seeds imbibed in distilled water and significantly superior to that registered when untreated Cildáñez water was used for imbibition. Our results demonstrate the potential of this simple and cost-effective technology to remove urban-water contaminants, offering as an additional advantage the possibility of an easy biomass recovery, which may become a source of alternative energy. Keywords—Bioreactor, bioremediation, Chlorella vulgaris, Matanza-Riachuelo basin, microalgae.
Feature Extraction of Human Facail Expressions Using Haar Wavelet and Neural network

One of the challenging and active research topics in the recent years is Facial Expression. This paper presents the method to extract the features from the facial expressions from still images. Feature extraction is very important for classification and recognition process. This paper involve three stages which contain capture the images, pre-processing and feature extractions. This method is very efficient in feature extraction by applying haar wavelet and Karhunen-Loève Transform (KL-T). The database used in this research is from Cohen-Kanade which used six expressions of anger, sadness fear, happiness, disgust and surprise. Features that have been extracted from the image of facial expressions were used as inputs to the neural network to recognize the facial expression . The recognition rate in this research was 90.5%.
Bayesian Updating of Material Balances Covariance Matrices Using Training Data

The main quantitative measure of nuclear safeguards effectiveness is nuclear material accounting (NMA), which consists of sequences of measured material balances that should be close to zero if there is no loss of special nuclear material such as Pu. NMA is essentially “accounting with measurement errors,” which arise from good, but imperfect, measurements. The covariance matrix ΣMB of a sequence of material balances is the key quantity that determines the probability to detect loss. There is a recent push to include process monitoring (PM) data along with material balances from NMA in new schemes to monitor for material loss. PM data includes near-real-time measurements by the operator to monitor and control process operations. One concern regarding PM data is the need to estimate normal behavior of PM residuals, which requires a training period prior to ongoing testing for material loss. Assuming that a training period is used for PM data prior to its use in statistical testing for loss, that same training period could also be used for improving the estimate of ΣMB that is used in NMA. We consider updating ΣMB using training data with a Bayesian approach. A simulation study assesses the improvement gained with larger amounts of training data.
Cutaneous Grooves: Composing for the Sense of Touch

What if the traditional relationship between touch and music was essentially turned upside down, making the tactile sensation the aesthetic end? This paper presents a novel coupling of haptics technology and music, introducing the notion of tactile composition or aesthetic composition for the sense of touch. A system that facilitates the composition and perception of intricate, musically structured spatio-temporal patterns of vibration on the surface of the body is described. Relevant work from disciplines including sensory substitution, electronic musical instrument design, simulation design, entertainment technology, and visual music is considered. The psychophysical parameter space for our sense of touch is summarized and the building blocks of a compositional language for touch are explored. A series of concerts held for the skin and ears is described, as well as some of the lessons learned along the way. In conclusion, some potential evolutionary branches of tactile composition are posited.
Prevalence of portal or splenic vein thrombosis in cirrhotic patients after splenectomy : a systematic review and meta-analysis of observational studies

This systematic review and meta-analysis aims to explore the prevalence of portal or splenic vein thrombosis (PSVT) in cirrhotic patients after splenectomy. All observational studies regarding the prevalence of PSVT in cirrhotic patients after splenectomy were identified via PubMed and EMBASE databases. 33 studies fulfilled the inclusion criteria. Meta-analyses showed a pooled prevalence of PSVT of 22.2% in cirrhotic patients after splenectomy. According to the types of splenectomy, the pooled prevalence of PSVT was 20.6% and 17.0% in cirrhotic patients after open or laparoscopic splenectomy, respectively. According to the Child-Pugh classes, the pooled prevalence of PSVT after splenectomy was 32.9%, 38.7%, and 61.2% in cirrhotic patients with Child-Pugh class A, B, and C, respectively. The pooled prevalence of PSVT after splenectomy was 24.6% and 47.4% in cirrhotic patients with and without anticoagulants. In conclusion, the pooled prevalence of PSVT in cirrhotic patients after splenectomy could be up to 22.2%.
Saudi Arabia License Plate Detection based on ANN and Objects Analysis

This paper proposes an algorithm to detect the license plate (LP). The road images are analyzed which often contain vehicle license plate to be detected. Low-quality images due to severe lighting conditions, vehicle motion, weather conditions, variable distance, LP styles and complex background are the most popular problems which are to be considered. In order to overcome these problems, the proposed algorithm is utilized. Firstly, the contrast of the vehicle is increased to facilitate the detection of LP. Then, the edges of the vehicle are extracted and the most of the background and noise edges according to a predefined threshold are removed. The next step is to construct objects using morphological operations and analyze these objects using orientation and width-to-height ratio. Finally, Artificial Neural Network (ANN) is used for decision making about these objects. The DWT is adopted to represent the objects to decide whether the candidate object is a LP or not. An optimization process is performed on the ANN parameters to enhance the detection rate. The experimental results have been demonstrated the robustness and high efficiency of the proposed algorithm in term of the detection rate of vehicle license plates. Moreover, a comparison has been carried out with the most related algorithms to show the superiority of the proposed algorithm.
Critical support vector machine without kernel function

The drawback of SVM technique leads to a positive semidefinite quadratic programming problem with a dense, structured, positive semi-definite matrix, and also requires a set of kernel functions. We propose the learning algorithms that do not need any kernel functions. The separability is based on the critical Support vectors (CSV) essential to determine the locations of all separating hyperplanes. The algorithms give better performance compared with the other proposed SVM-based algorithms when they are tested with 2 spirals problem, Sonar, Ionosphere, Mushroom, Liver disorder, Cleveland heart, Pima diabetes, Tic Tac Toe, and Votes.
ective Mobile Search Using Element-based Retrieval

We applied an element-based retrieval approach in this study to improve search accuracy for information retrieval on small screen devices. Finer-grained retrieval units compared with document granules are expected in mobile information retrieval because of limited screen size. An information retrieval system employing information units (iUnits), i.e., text fragments that are relevant to a query and atomic in interpreting information, is one of the solutions to finer-grained retrieval units. An iUnit-based mobile information retrieval task, called MobileClick, assumes two-layered information access where the most important iUnits are arranged in the first layer and detailed iUnits for individual intents are arranged in the second layer. This two-layered information access enabled useful information to be presented with fewer page transitions. We first adopt element-based retrieval to identify elements containing relevant descriptions in a document to tackle MobileClick. The next step is scoring the iUnits where we assigned higher scores to iUnits that are similar to elements with higher scores. Our experimental evaluations demonstrated that our method is more accurate than a baseline by 9.7%.
A homozygous DPM 3 mutation in a patient with alpha-dystroglycan-related limb girdle muscular dystrophy . "

Defects of O-linked glycosylation of alpha-dystroglycan cause a wide spectrum of muscular dystrophies ranging from severe congenital muscular dystrophy associated with abnormal brain and eye development to mild limb girdle muscular dystrophy. We report a female patient who developed isolated pelvic girdle muscle weakness and wasting, which became symptomatic at age 42. Exome sequencing uncovered a homozygous c.131T > G (p.Leu44Pro) substitution in DPM3, encoding dolichol-P-mannose (DPM) synthase subunit 3, leading to a 50% reduction of enzymatic activity. Decreased availability of DPM as an essential donor substrate for protein O-mannosyltransferase (POMT) 1 and 2 explains defective skeletal muscle alpha-dystroglycan O-glycosylation. Our findings show that DPM3 mutations may lead to an isolated and mild limb girdle muscular dystrophy phenotype without cardiomyopathy. Document type : Article de périodique (Journal article) Référence bibliographique Van den Bergh, Peter ; Sznajer, Yves ; Van Parijs, Vinciane ; van Tol, Walinka ; Wevers, Ron Allan ; et. al. A homozygous DPM3 mutation in a patient with alpha-dystroglycan-related limb girdle muscular dystrophy. In: Neuromuscular Disorders, Vol. 27, no. 11, p. 1043-1046 (2017) DOI : 10.1016/j.nmd. 2017.07. 006
A study on traffic sign recognition in scene image using genetic algorithms and neural networks

This research is concerned with a new technology for the recognition of traffic signs from a scene image using genetic algorithms (GA) and neural networks (NN). First, an original video image is obtained as a binary image by using the smoothing filter and the Laplacian filter. Second, the traffic sign in a scene image is searched using a proposed GA. Third, if there exist two traffic signs in a video image, the method to detect the second traffic sign is developed based on the fitness of individuals. Finally, it can be recognized using NN what kind of traffic sign is taken. Through these recognition experiments, it can be shown that the new technology proposed here is sufficiently valid for the recognition of a traffic sign from a scene image.
Low Bioelectrical Impedance Phase Angle Is a Significant Risk Factor for Frailty

The phase angle, which is measured via bioelectrical impedance analysis (BIA), is a clinically important bioimpedance parameter used for nutritional assessment and evaluating the risk of various diseases, such as locomotive syndrome (LS). It remains unclear if the phase angle is associated with frailty (fragile state of physical and mental health). We therefore examined this association in a large prospective sample. Of 1081 individuals receiving health checkups, 550 (male; 235, female; 365) were enrolled in this study. We applied the Japanese version of the Cardiovascular Health Study criteria to evaluate frailty and administered the 25-Item Geriatric Locomotive Function Scale to diagnose LS. The phase angle was measured via BIA. Multiple logistic regression analysis was used to evaluate the relationship between the phase angle and frailty. For all participants and for each sex, the phase angle was significantly lower among individuals with frailty. After controlling for age, sex, and body mass index, we found that a low phase angle was a significant risk factor of frailty. As a result of multiple regression analysis including other confounding factors, among male participants, a low phase angle was significantly related with both frailty (P = 0.015) and LS (P < 0.001), whereas among female participants, the low phase angle had a stronger association with frailty (P = 0.001) than with LS (P = 0.52). Our findings suggest that a low angle is a risk factor of frailty. Furthermore, among female participants, frailty has a stronger relation with the phase angle than does LS. Therefore, the phase angle may be considered a useful indicator of frailty that does not require lengthy or costly assessment.
The Role of CDR1as in Proliferation and Differentiation of Human Umbilical Cord-Derived Mesenchymal Stem Cells

Mesenchymal stem cells derived from human umbilical cord (hucMSCs) are considered a promising tool for regenerative medicine. circRNAs as newly discovered noncoding RNAs are involved in multiple biological processes. However, little has been known about the function of circRNAs in the proliferation and differentiation of hucMSCs. In this study, we selected several circRNAs expressed in MSCs from circBase and found that CDR1as expression level was markedly significant. We observed that, compared with that of uninduced hucMSCs, the CDR1as expression level of induced hucMSCs decreased with cell induction differentiation. By using siRNA to knock down CDR1as of hucMSCs, we discovered that proliferation was inhibited but the apoptosis increased. In addition, we found that the expression of stemness transcription factors (STFs) was downregulated after CDR1as knockdown and the adipogenesis and osteogenesis potential of hucMSCs was impaired. Our findings suggest that CDR1as takes a part in maintaining proliferation and differentiation of hucMSCs, providing clues for MSC modification and further for stem cell therapy and tissue regeneration.
Oxidative Stress Induced by the Deubiquitinase Inhibitor b-AP15 Is Associated with Mitochondrial Impairment

Inhibitors of the 20S proteasome such as bortezomib are cytotoxic to tumor cells and have been proven to be valuable for the clinical management of multiple myeloma. The therapeutic efficacy of bortezomib is, however, hampered by the emergence of acquired resistance. Available data suggest that blocking proteasome activity at the level of proteasome-associated deubiquitinases (DUBs) provides a mechanism to overcome resistance to bortezomib and also to other cancer therapies. The small molecule b-AP15 is an inhibitor of proteasome-associated DUB activity that induces both proteotoxic stress and increases in the levels of reactive oxygen species (ROS) in tumor cells. Antioxidants have been shown to decrease apoptosis induction by b-AP15 and we here addressed the question of the mechanism of redox perturbation by this compound. We show that oxidative stress induction by b-AP15 is abrogated in cells deprived of mitochondrial DNA (ρ 0 cells). We also show associations between the level of proteotoxic stress, the degree of mitochondrial dysfunction, and the extent of induction of hemeoxygenase-1 (HO-1), a target of the redox-regulated Nrf-2 transcription factor. Decreased expression of COX5b (cytochrome c oxidase subunit 5b) and TOMM34 (translocase of outer mitochondrial membrane 34) was observed in b-AP15-treated cells. These findings suggest a mitochondrial origin of the increased levels of ROS observed in cells exposed to the DUB inhibitor b-AP15.
Clinicopathological features and outcomes of adrenocortical carcinoma: A single institution experience

Introduction: Adrenocortical carcinoma (ACC) is a rare endocrine malignancy with aggressive behavior. Most of our knowledge about this rare tumor is based on retrospective case series. This study aimed at analyzing the clinicopathological features and outcomes of patients treated at a tertiary cancer center in India. Patients and Methods: We retrospectively reviewed the data of patients with ACC registered from January 2006 to December 2015. Results: Thirty-seven patients were included in the study, 20 males and 17 females. Median age was 49 (18–78) years. Hormonal overproduction was noticed in 27% of patients. Median tumor size was 10 cm (2–22). Seventeen patients had metastatic disease and 20 patients were localised at diagnosis. Median follow-up was 22 months and median overall survival (OS) was 23.46 months. OS at 2 years and 5 years was 46.1% and 21%, respectively. The median disease-free survival (DFS) was 20 months. DFS at 2 years and 5 years was 45% and 24%, respectively. Age, sex, tumor size, hormonal overproduction, tumor laterality, and stage of the disease did not influence survival. However, advanced stage was associated with higher risk for recurrence. (P = 0.03). Conclusion: ACC is a rare endocrine malignancy with very poor survival rates. Rate of recurrence is high even after complete surgery. Systemic treatment options are limited. Newer agents are needed to improve outcome.