Miracle-dz/UniFAR-FTUs huggingface dataset:
Working Memory In Individuals With Fragile X Syndrome

The present research tests the hypothesis that fragile X syndrome (FXS) is associated with a deficit in working memory (WM) and the deficit is more pronounced the higher the control requirements of the task. To this purpose, 15 boys with FXS and 15 typically developing children, matched for mental age, assessed with Logical Operation Test, were tested with batteries of 4 verbal and 4 visuospatial WM tasks requiring different levels of control. Children with FXS showed a performance equal to controls, in WM tasks requiring low and medium-low control but significant impairment in correspondence with greater control requirements. Results show that boys with FXS present a WM deficit only when high control is required by the task, supporting the hypothesis that control can be a critical variable distinguishing WM functions and explaining intellectual differences. On the contrary the hypothesis that the FXS is associated with a visuospatial deficit was not supported.
Initial Clinical Experience with Robot-Assisted Laparoscopic Partial Nephrectomy for Complex Renal Tumors

Purpose: Robot-assisted laparoscopic partial nephrectomy (RLPN) is gaining acceptance as an alternative to open partial nephrectomy and laparoscopic partial nephrectomy for small renal masses. However, it still remains a technically challenging procedure even for experienced laparoscopists. Endophytic tumors or renal hilar tumors pose an additional challenge. Materials and Methods: We reviewed the medical records of 11 patients (mean age: 49.3 years; range: 31-67 years) who underwent RLPN for small, complex renal masses including hilar tumors and endophytic tumors. RLPN was performed with the Da VinciR surgical system (Intuitive Surgical, Sunnyvale, USA) with three robot arms and intraoperative ultrasonography (Tile-proR System). Results: RLPN was performed successfully without complications in all cases. The mean tumor size was 3.2 cm (range, 1.1-8.0 cm). The mean operative time was 177 minutes (range, 150-260 minutes), and the mean warm ischemia time was 32 minutes (range, 25-41 minutes). The mean estimated blood loss was 177 ml (range, 50-350 ml), and the mean hospital stay was 4 days (range, 3-7 days). Pathology found four patients with clear cell type renal cell carcinoma, one with multilocular multicystic renal cell carcinoma, two with papillary type, one with chromophobe type, and three with angiomyolipoma. Conclusions: RLPN is a feasible and safe surgery for complex renal tumors. In our experiences, RLPN could be a nephron-sparing surgical option for patients with compromised renal function and it could be an alternative to open partial nephrectomy and laparoscopic partial nephrectomy for a select group of patients. (Korean J Urol 2009;50:865-869) 󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏
Considerations on a frequency correlation for distributed antenna systems

In this paper, we have investigated the proposed frequency correlation for distributed antenna systems in the exponential delay profile case. It has been clarified that the frequency correlation for the 2 RAU case varies depending on the MT position. On the other hand, in the case of 7 RAUs, it has been shown that all the frequency correlations almost coincide with each other. Moreover, it has been shown that the frequency correlation and the degradation coefficient of the signal detection show almost the same behavior. Therefore, we can evaluate the degradation of the signal detection using the proposed frequency correlation.
Quelques aspects topologiques de la planification de mouvements et des actions réflexes en robotique mobile

La these traite de la planification de mouvements et des actions reflexes des robots mobiles evoluant dans des environnements connus ou inconnus. La premiere partie concerne la mise en equation du probleme de la planification de mouvements ainsi que l'elaboration d'architectures de commande des robots mobiles. La seconde partie s'interesse a quelques proprietes topologiques des espaces de description de ce probleme. Ces proprietes sont plus particulierement developpees pour les cas des robots a trois degres de liberte holonomes ou non. La troisieme partie traite de la modelisation des actions reflexes controlees des robots mobiles autonomes et des plates-formes mobiles teleoperes. Des resultats experimentaux sur la commande de robots mobiles rapides sont egalement presentes
Adaptive real-time anomaly detection using inductively generated sequential patterns

A time-based inductive learning approach to the problem of real-time anomaly detection is described. This approach uses sequential rules that characterize a user's behavior over time. A rulebase is used to store patterns of user activities, and anomalies are reported whenever a user's activity deviates significantly from those specified in the rules. The rules in the rulebase characterize either the sequential relationships between security audit records or the temporal properties of the records. The rules are created in two ways: they are either dynamically generated and modified by a time-based inductive engine in order to adapt to changes in a user's behavior, or they are specified by the security management to implement a site security policy. This approach allows the correlation between adjacent security events to be exploited for the purpose of greater sensitivity in anomaly detection against seemingly intractable (or erratic) activities using statistical approaches. Real-time detection of anomaly activities is possible. <<ETX>>
Secure Network Authentication Based on Biometric National Identification Number

This paper present a proposed authentication system based on fingerprint as biometric type and some of static credential personal information such as name and birth date. The system generate a Unique National Identification Number (NIDN) by combining fingerprint minutiae features with user’s personal information (name and birthdate) printed in Quick Response code (QR) image to be used as a token card in system accessing. Fingerprint one-to-one verification is used to verify the user’s identity for the application that needs high security level. The proposed system provides two authentication services; first is normal authentication service, to protect the public application that contain public data such as billing payments application, this authentication service needs only the user’s NIDN or QR for the system access. Second is strong authentication service, to protect the private application that contains sensitive data such as banking systems, this authentication service needs user’s NIDN or QR as well as fingerprint of the same user for system access. The experimental work of the proposed system shows that, with threshold value under (50), user’s acceptance accuracy is 100%, and with threshold value equal to (50), user’s acceptance accuracy is 96.153. KeywordsBiometric, Fingerprint, Authentication, QR, hash function.
ghrelin is a novel target of Pax4 in endocrine progenitors of the pancreas and duodenum

Pax4‐deficient mice have a severe gastrointestinal endocrine deficiency: they lack most pancreatic cells that produce insulin or somatostatin and various duodenal endocrine cell types. Remarkably, Pax4‐deficient mice also have an overabundance of ghrelin‐expressing cells in the pancreas and duodenum. Detailed analysis of the Pax4 nullizygous pancreas determined that the mutant islets are largely composed of a distinctive endocrine cell type that expresses ghrelin, glucagon, islet amyloid polypeptide (IAPP), and low levels of Pdx1. Lineage‐tracing analysis revealed that most of these unique endocrine cells directly arose from Pax4‐deficient progenitors. Previous in vitro work reported that Pax4 is a transcriptional repressor of islet amyloid polypeptide (IAPP) and glucagon. In this study, we expanded those results by showing that Pax4 is also a repressor of gherlin. Together, our data further support the notion that Pax4 activity is necessary to establish appropriate patterns of gene expression in endocrine progenitors of the digestive tract. Developmental Dynamics 237:51–61, 2008. © 2007 Wiley‐Liss, Inc.
Regulation of Escherichia coli secA by Cellular Protein Secretion Proficiency Requires an Intact Gene X Signal Sequence and an Active Translocon

ABSTRACT secA is translationally regulated by the protein secretion proficiency state of the Escherichia coli cell. This regulation was explored by making signal sequence mutations in the gene upstream of secA, gene X, which promotessecA translational coupling. Gene X signal sequence mutants were constitutive for secA expression, whileprlA alleles partially restored secAregulation. These results show that interaction of the pre-gene X protein with the translocon is required for proper secAregulation. Furthermore, gene X signal sequence mutations disruptedsecA regulation only in the cis configuration. We propose that nascent pre-gene X protein interacts with the translocon during its secretion to constitute the secretion sensor.
Entanglement and Tensor Networks for Supervised Image Classification

Tensor networks, originally designed to address computational problems in quantum many-body physics, have recently been applied to machine learning tasks. However, compared to quantum physics, where the reasons for the success of tensor network approaches over the last 30 years is well understood, very little is yet known about why these techniques work for machine learning. The goal of this paper is to investigate entanglement properties of tensor network models in a current machine learning application, in order to uncover general principles that may guide future developments. We revisit the use of tensor networks for supervised image classification using the MNIST data set of handwritten digits, as pioneered by Stoudenmire and Schwab [Adv. in Neur. Inform. Proc. Sys. 29, 4799 (2016)]. Firstly we hypothesize about which state the tensor network might be learning during training. For that purpose, we propose a plausible candidate state $|\Sigma_{\ell}\rangle$ (built as a superposition of product states corresponding to images in the training set) and investigate its entanglement properties. We conclude that $|\Sigma_{\ell}\rangle$ is so robustly entangled that it cannot be approximated by the tensor network used in that work, which must therefore be representing a very different state. Secondly, we use tensor networks with a block product structure, in which entanglement is restricted within small blocks of $n \times n$ pixels/qubits. We find that these states are extremely expressive (e.g. training accuracy of $99.97 \%$ already for $n=2$), suggesting that long-range entanglement may not be essential for image classification. However, in our current implementation, optimization leads to over-fitting, resulting in test accuracies that are not competitive with other current approaches.
Memory self-efficacy and psychosocial factors in stroke.

OBJECTIVE To explore whether Memory Self-efficacy is related to depression, neuroticism and coping in patients after stroke, as it is in healthy elderly subjects. DESIGN A cross-sectional design. The relation between Memory Self-efficacy and psychosocial factors was analysed using a Mann-Whitney U test and non-parametric Spearman correlations. PATIENTS Seventeen male and 6 female patients after stroke from an inpatient rehabilitation setting were included. METHODS Memory Self-efficacy, depression, neuroticism and coping were assessed with validated questionnaires. Patients with severe aphasia, subarachnoidal haemorrhage or subdural haematomas were excluded. RESULTS As in healthy elderly subjects, higher depression ratings are significantly related to lower Memory Self-efficacy ratings (Z = -2.13; p = 0.033). Lower Memory Self-efficacy seems related to higher neuroticism ratings and a more passive coping style score (Z = -1.54; p = 0.123; Z = -1.42; p = 0.155, respectively). The Spearman correlations confirm these finding (p < 0.10). CONCLUSION This study replicated the relationships between Memory Self-efficacy and depression and neuroticism found in a healthy population, in an inpatient stroke population. Future research on Memory Self-efficacy in patients after stroke should focus on other potential determinants such as awareness and, ultimately, on the effectiveness and efficacy of interventions aimed at Memory Self-efficacy to improve participation and quality of life.
Well-posedness of the mean field forest fire age evolution equation

We prove the well-posedness of a differential equation that describes the evolution of the large-system limit of the empirical age measure in the mean field forest fire model of Rath and Toth (arXiv:0808.2116). This forest fire model is a random graph process on $n$ vertices, whose dynamics combine the Erdős-Renyi dynamics with a Poisson rain of lightning strikes. All edges in any connected component are deleted as soon as any of its vertices is struck by lightning. Each vertex has an age, which increases at rate $1$ but is reset to $0$ each time it burns. We consider the asymptotic lightning regime in which the model displays self-organized criticality. Crane, Rath and Yeo (arXiv:1811.07981) take the initial state to be an inhomogeneous random graph whose edge probabilities depend on the ages of the vertices. They show that as $n \to \infty$ the empirical age distribution converges as a process to the solution of a deterministic autonomous differential equation. It is a nonlinear age-dependent population dynamics model whose age-specific mortality modulus involves the leading eigenfunction of the branching operator of an associated multitype branching process. The differential equation displays self-organized criticality in the sense that the leading eigenvalue of the branching operator is held at $1$ without this being imposed as a boundary condition.
Analysis of Main Influencing Factors of Scientific Data Sharing in Universities

At present, China is in the critical period of implementing innovation-driven development strategy and building a strong country in science and technology. Strengthening and standardizing scientific data management is an important means to strengthen China’s scientific and technological innovation capacity building. As an important base for scientific data generation, what are the attitudes, cognitions, behavioral characteristics and influencing factors of researchers on scientific data sharing? Based on the theory of technology acceptance model and planning behavior, this paper constructs the influencing factors model of scientific data sharing willingness in universities, discusses the factors affecting the scientific data sharing of universities, and draws three main factors affecting the scientific data sharing of universities: individual characteristics, subjective norms, systems characteristics. Finally, from the aspects of service content, incentive mechanism, literacy education, platform architecture, etc., scien-tific data sharing services of university libraries are carried out.
Diversication and Systemic Bank Runs

Diversi cation through pooling and tranching securities was supposed to mitigate creditor runs in nancial institutions by reducing their credit risk, yet many nancial institutions holding diversi ed portfolios experienced creditor runs in the recent nancial crisis of 2007-2009. We present a theoretical model to explain this puzzle. In our model, because nancial institutions all hold similar (diversi ed) portfolios, their behavior in the asset market is clustered: they either sell their assets at the same time or collectively do not sell. Such clustering behavior reduces market liquidity after an adverse shock and increases the probability of a panic run by creditors. We show that diversi cation, while making the nancial system more robust against small shocks, increases the possibility of a systemic crisis in the case of a larger shock; diversi cation, inducing stronger strategic complementarities across institutions, makes a self-ful lling systemic crisis (multiple equilibria) more likely. Because individual institutions either over-diversify or under-diversity in the competitive equilibrium compared with the social optimum, there is room for regulation. JEL classi cation: G01; G21; D82; D53 Keywords: Diversi cation, market liquidity, panic runs, systemic crises, coordination risk I am grateful to Deniz Okat for detailed feedback and suggestions. I thank Heng Chen, Itay Goldstein, Zheng Song, Tianxi Wang, Liyan Yang, and seminar participants at City University of Hong Kong, Chinese University of Hong Kong, University of Hong Kong, HKUST, and Econometric Society China Meeting 2018 for helpful comments. yDepartment of Finance, Hong Kong University of Science and Technology (HKUST), Clear Water Bay, Hong Kong. Tel: (+852) 2358 7679. Email: xuewenliu@ust.hk.
Immunophotodiagnosis of colon carcinomas in patients injected with fluoresceinated chimeric antibodies against carcinoembryonic antigen.

Based on previous experiments in nude mice, showing that fluoresceinated monoclonal antibodies against carcinoembryonic antigen localized specifically in human carcinoma xenografts and could be detected by laser-induced fluorescence, we performed a feasibility study to determine whether this immunophotodiagnosis method could be applied in the clinic. Six patients, with known primary colorectal carcinoma, received an i.v. injection of 4.5 or 9 mg of mouse-human chimeric anti-carcinoembryonic antigen monoclonal antibody coupled with 0.10-0.28 mg of fluorescein (molar ratio 1/10 to 1/14). The monoclonal antibody was also labeled with 0.2-0.4 mCi of 125I (1 Ci = 37 GBq). Photodetection of the tumor was done ex vivo on surgically resected tissues for the six patients and in vivo by fluorescence rectosigmoidoscopy for the sixth patient. Upon laser irradiation, clearly detectable heterogeneous green fluorescence from the dye-antibody conjugate was visually observed on all six tumors; almost no such fluorescence was detectable on normal mucosa. The yellowish tissue autofluorescence, which was emitted from both tumor and normal mucosa, could be subtracted by real-time image processing. Radioactivity measurements confirmed the specificity of tumor localization by the conjugate; tissue concentrations of up to 0.059% injected dose per g of tumor and 10 times less (0.006%) per g of normal mucosa were found. The overall results demonstrate the feasibility of tumor immunophotodiagnosis at the clinical level.
The Effect of Market Regimes on the Performance of Market Capitalization-Weighted and Smart Beta Shariah-Compliant Equity Portfolios

Shariah-compliant investment guidelines, while explicit on screening criteria for stock selection, are silent on the weighting methods to be used in the construction of Shariah-compliant equity portfolios. The market capitalization-weighted strategy and smart beta strategies (fundamental value-weighted, equal-weighted, and low-risk weighted strategies) exhibit different risk and return characteristics. This paper investigates whether the choice of weighting strategy affects the performance of Shariah-compliant equity portfolios under different market conditions. The sample consists of active constituent data from S&P 500 for the period 1986-2016. By utilizing the Markov-regime switching model, it is possible to categorize market returns into two regimes — high regimes for bullish market conditions and low regimes for bearish market conditions. The empirical results indicate a significant difference between the performances of Shariah-compliant equity portfolios in high and low regimes following different weighting strategies. The evidence suggests that market capitalization and fundamental value-weighted strategies perform better during market rallies. On the other hand, a low-risk strategy can be used as a hedge during periods of maximum drawdown and is associated with relatively lower value-at-risk and expected shortfalls as compared to alternative strategies.
Five Lec1 CHO cell mutants have distinct Mgat1 gene mutations that encode truncated N-acetylglucosaminyltransferase I.

Lec1 CHO cell mutants lack N-acetylglucosaminyltransferase I (GlcNAc-TI) activity and do not synthesize complex or hybrid N-glycans. The origins of six independent lec1 mutations are shown to reside in the coding region of the Mgat1 gene, proving that GlcNAc-TI is mutated in Lec1 mutants. One mutant has Mgat1 gene transcripts of reduced size, whereas the others possess transcripts of approximately normal size and amount containing a unique insertion or transition mutation that leads to a premature stop codon in the Mgat1 gene coding region. The lec1 mutation in the Lec3.2. 8.1 mutant, a line used to generate minimally glycosylated membrane glycoproteins for X-ray crystallography, is a G insertion that leads to a nonsense codon after amino acid 391. The Pro-Lec1.3C line from the ATCC and in laboratory stocks, a line used widely for diverse purposes, possesses a C insertion in the Mgat1 gene coding exon, causing a frame shift and producing a stable, truncated approximately 24-kDa product. Mgat1 gene mutations were confirmed by sequencing genomic DNA PCR products. Mutant cDNAs were reverted by site-directed mutagenesis and shown to confer wild-type lectin binding and GlcNAc-TI activity on Lec1 transfectants. Surprisingly, three Mgat1 gene nucleotide changes previously reported in Pro-Lec1.3C cells (Puthalakath et al. [1996] J. Biol. Chem., 271, 27818-27822) were not detected in this study. These Lec1 mutants provide a novel cohort for investigating the effects on Golgi trafficking and kin recognition of deletion mutants of GlcNAc-TI expressed at endogenous rather than nonphysiological levels.
A qualitative study on the problems encountered by secondary school students on the net

Accepted: 04.12. 2018 In this study, secondary school students views related to use of the internet and the problems that they are faced on the internet were investigated. In this context students' and parents' views related to the use of internet by secondary school students were examined. In this study, qualitative researching method was used. This study was applied to secondary school students and parents in 2016-2017 educational years. As collecting data tool; "Personal Information Form" and "SemiStructured Interview Form" were used. Content analysis technique was used to analysis of data. According to the results obtained from the research, the following data has been reached. A high percentage of the students involved in the research (79,16 %) know nothing about the cyberbullying and the things to be done within their rights when encountered with it. 31,5 % of them use the net to study or do homework, 20,5 % for social networking sites and 17,1 % to play online games. It was also concluded that the most common problem encountered is the messages and demands from the people they do not know, in which case the parents know somehow and tend to solve the problem by taking necessary precautions, filing a petition or taking action legally.
The Dark-Side of Banks’ Nonbank Business: Internal Dividends in Bank Holding Companies

We show a dark-side view of internal capital markets in which one segment exploits the funding advantage of another profitable segment to relax its financial constraints. Results demonstrate that bank holding companies (BHCs) shield their nonbank segments, and not their bank segments, from inflexible external dividend policies. Further, bank internal dividends are used to support nonbank segment expansion. We show that BHCs whose nonbank activity had been constrained prior to the passage of the Gramm-Leach-Bliley Act increased their bank segments’ payout ratios by 12 percentage points relative to those that had not been constrained.