Miracle-dz/UniFAR-FTUs huggingface dataset:
Humanistic Hakomi and It’s Interface with Non-Linear Science

The article begins by reviewing concerns about the humanistic psychology-science dialogue that Hakomi has engaged from its beginnings. It then moves to outline the contours of recent non-linear approaches to science, and how that understanding might interface with the use of mindfulness and the body in humanistic psychotherapy that Hakomi has pioneered. Various ways in which both client and therapist use the awareness and compassionate aspects of mindfulness in passive and active ways are explored. Research involving the body in terms of interpersonal neurobiology and neuroplasticity, and its use as a royal road to the unconscious are outlined. A case study is referenced throughout. The conclusion returns to the basic concerns, and offers a final critique. When they think that they know the answers, people are difficult to guide. When they know that they don't know, people find their own way -Lao Tzu (Johanson & Kurtz, 1991, p. 15)
Dermatofi brosarcome de Darier Ferrand sous orbitaire : Une localisation rare

Dermatofibrosarcoma protuberans (DFS) is a rare malignant skin tumor, characterized by local aggressiveness, significant potential for recurrence and a low risk of distant metastasis. The location under the eyes, not yet reported in the literature may involve the functional and aesthetic prognosis. We report a case.
Better Together - An Ensemble Learner for Combining the Results of Ready-made Entity Linking Systems

Entity linking (EL) is the task of automatically identifying entity mentions in text and resolving them to a corresponding entity in a reference knowledge base like Wikipedia. Throughout the past decade, a plethora of EL systems and pipelines have become available, where performance of individual systems varies heavily across corpora, languages or domains. Linking performance varies even between different mentions in the same text corpus, where, for instance, some EL approaches are better able to deal with short surface forms while others may perform better when more context information is available. To this end, we argue that performance may be optimised by exploiting results from distinct EL systems on the same corpus, thereby leveraging their individual strengths on a per-mention basis. In this paper, we introduce a supervised approach which exploits the output of multiple ready-made EL systems by predicting the correct link on a per-mention basis. Experimental results obtained on existing ground truth datasets and exploiting three state-of-the-art EL systems show the effectiveness of our approach and its capacity to significantly outperform the individual EL systems as well as a set of baseline methods.
INOSITOL PHOSPHATE PHOSPHATASES OF MICROBIOLOGICAL ORIGIN

Inositol phosphate n;termediates formed during the enzymic (bacterial phytase) dephosphorylation of the hexaphosphates of myo-, scyllo-, and D-chiroinositol have been isolated by means of ion-exchange chromatography. Hydrolysis of myo-inositol hexaphosphate is believed to proceed via D-myo-inositol 1,2,4,5,6pentaphosphate, D-myo-inositol 1,2,5,6-tetraphosphate, D-myo-inositol 1,2,5or 1,2,6-triphosphate or both, D-myo-inositol 1,2-diphosphate, and finally myoinositol 2-monophosphate. Hydrolysis of 8cyllo-inositol hexaphosphate is believed to proceed via the 1,2,3,4,5-pentaphosphate, either or both enantiomorphs of DL-l,2,3,4-tetraphosphate, the 1,2,3-triphosphate, and predominantly or solely through one 'enantiomorph of DL-l,2-diphosphate. The pathway of degradation of D-chiro-inositol hexaphosphate is less certain but evidence presented supports a route via the 1,2,3,5,6and 1,2,3,4,6-pentaphosphates, the 1,2,3,6-tetraphosphate, the 1,2,6-triphosphate, and the 1,6-diphosphate.
The number sensitivity of modal indefinites

In this study, I take up the interaction between modal flavor and the number morphology of existential wh-indefinites in Mandarin, a phenomenon first discussed in Lin (1998). I argue that there are three essential theoretical pieces to this interaction: (i) types of nominal reference (quantized vs. cumulative), (ii) degrees of modal variation (total vs. partial), and (iii) achieving modal variation by exhaustification. I show that while exhaustifying alternatives contributed by quantized wh-indefinites may give rise to either total or partial modal variation, exhaustifying alternatives contributed by cumulative wh-indefinites may only give rise to partial modal variation.
reqT.org – Towards a Semi-Formal, Open and Scalable Requirements Modeling Tool

[Context and motivation] This research preview presents ongoing work on a free software requirements modeling tool called reqT that is developed in an educational context. [Question/problem] The work aims to engage computer science students in Requirements Engineering (RE) through a tool that captures essential RE concepts in executable code. [Principal ideas] Requirements are modeled using an internal DSL in the Scala programming language that blends natural language strings with a graph-oriented formalism. [Contribution] The metamodel of reqT and its main features are presented and modeling examples are provided together with a discussion on initial experiences from student projects, limitations and directions of further research.
Efficient Methods for Data Integrity Protection and Fault Tolerant Storage System in Cloud

Cloud computing is a paradigm that provides computing, communication and storage resources as a service over internet. Cloud Storage constitutes data that is mostly heterogeneous and dynamic in nature. In Cloud storage systems the data is to be protected from corruptions, redundant data to tolerate failures of storage and lost data should be repaired when storage fails. By distributing data across several servers, traditional code regeneration techniques for failure recovery are effective only in the case of using less network traffic. Also remotely checking the integrity of the data using code regenerated corruption methods is a complicated process in real time cloud storage. To overcome the problem of reducing data corruption and data retrieval, a novel method is proposed which implements a Integrity Protection Scheme (IPS). Unlike other approaches, we have considered both proof of integrity of data as well as proof of data possession. This makes only a fraction of data needed to analyzed for any corruption and not the entire file has to be reviewed. Therefore this IPS effectively protects the properties of the data stored in cloud and regardless of bandwidth of the cloud storage, the availability of data is improved. This proposed method when compared with other methods shows 17.27% average recovery time for 250 nodes, 12.12% average recovery time for 500 nodes and 8.57% average recovery time for 500 nodes.
Influences of An Gong Niu Huang Wan on expressions of MMP-9 and AQP-4 in rats with experimental intracerebral hemorrhage

Objective To study the influences of An Gong Niu Huang Wan on the expressions of matrix metallopeptidase-9(MMP-9) and aquaporin-4(AQP-4) in brain tissue around hematoma in rats with experimental intracerebral hemorrhage(ICH). Methods The model of ICH was established by the injection of collagenase in rat caudate nucleus.An Gong Niu Huang Wan(0.2 g/kg and 0.4 g/kg) was given intragastrically to rats 3 hours after the injection,once a day for three days.The paraffin sections were prepared by using cardiac perfusion of paraformaldehyde for fixation and collection of brain samples after three days.The expressions of MMP-9 and AQP-4 were observed by using immunohistochemistry method.Results Compared with the sham-operation group,the expressions of MMP-9(P0.01) and AQP-4(P0.01) increased significantly in the model group.Compared with the model group,the expressions of MMP-9(P0.01) and AQP-4(P0.01) decreased significantly in the low-dose group of An Gong Niu Huang Wan and high-dose group of An Gong Niu Huang Wan.Conclusion An Gong Niu Huang Wan can inhibit the expressions of MMP-9 and AQP-4 in brain tissue around hematoma after ICH,which may be related to that it can antagonize the lesion of intracerebral hemorrhage.
On the proof of the 2-to-2 Games Conjecture

This article gives an overview of the recent proof of the 2-to-2 Games Conjecture in [68, 39, 38, 69] (with additional contributions from [75, 18, 67]). The proof requires an understanding of expansion in the Grassmann graph. The 2-to-2 Games Conjecture is a lesser variant of the more well-known Unique Games Conjecture in Theoretical Computer Science. These conjectures have applications to “hardness of approximation”, namely, the phenomenon that for many NP-hard problems, even computing approximate solutions to them remains NP-hard. They have several additional connections to computational complexity, algorithm design, analysis, and geometry. The proof of the 2-to-2 Games Conjecture proves the Unique Games Conjecture “half-way” (at least in a certain technical sense) and in author’s opinion, provides a strong evidence in favor of the latter.
A Performance Evaluation of Distributed TensorFlow

TensorFlow is a deep learning framework which is developed by Google. The computations in TensorFlow are implemented and expressed as data flow graphs of multidimensional array data which is referred to as“Tensor. ”We know that, with TensorFlow we can implement parallel execution in a multi-GPU configuration and distributed execution in a multi-node configuration, but it is not clear how effective it is in the real environment. In this paper, we measured these performances for several mini batch sizes and network settings. From the experimental results, we confirmed that we can accelerate the execution in all the environment we have tested. We also found that the mini batch size has a big influence in the distributed environment of 1Gbps network. However, in the environment of 10Gbps network or the intra-node multipl-GPU configuration, we could achieve the linear speed up regardless of mini batch size.
A note on robust stability analysis for feedback interconnections of time-varying linear systems

A generalization of Vinnicombe’s ν-gap metric and corresponding robust feedback stability results are proposed for a class of linear time-varying (LTV) systems in “Robust stability analysis of time-varying linear systems,” SIAM J. Control and Optimization, Vol. 51, pp. 353-379, 2013. An error in the analysis presented therein leads to an omission in the time-domain definition of a ν-gap metric for the class of continuous-time systems studied. This omission and the underlying error in the development are corrected herein. Specifically, the omission is a norm-coercivity constraint to be satisfied in conjunction with the family of Fredholm index conditions that generalize the winding-number condition in the frequency-domain definition for time-invariant systems.
The Role of Sustainability in Brand Equity Value in the Financial Sector

The behavior of firms is changing as new kinds of businesses evolve. In particular, companies are now seeking to optimize their value, especially their intangible value—referred to as brand equity value—which has many behavioral drivers. The analysis of brand equity determinants in the financial sector (e.g., ethical investments, sustainability and firm behavior) has received little attention. The methodology used in this study included the collection of information from publicly listed companies, followed by the execution of a statistical analysis to study the correlations between brand equity values and their determinants. We aimed to close this gap by raising the awareness of the positive impacts of sustainable investments in the financial sector and the need for a managerial implementation model to build a sustainability-oriented brand value. The objective of this research was to examine the relationships between elements such as sustainability scores or diversity measures and firms’ brand value. Considering sectoral and regional effects, we observed a positive relationship between environmental and social governance scores and brand equity value.
EXFOLIATION OF GRAPHITE IN CARBON ARC DISCHARGE

Herein a method for the synthesis of exfoliated graphite is presented. The method is based on the carbon arc discharge between two graphite electrodes under inert gas atmosphere (He and He-N2). The process yields two types of products, i.e. the deposit from the cathode, rich in exfoliated graphite and soot, which contains various nanosized carbon particles. The products were investigated by thermogravimetry, scanning electron microscopy and Raman spectroscopy. The presented method is a novel approach for exfoliation of graphite and is characterized by high efficiency and simplicity.
Optimal $δ$-Correct Best-Arm Selection for Heavy-Tailed Distributions

Given a finite set of unknown distributions or arms that can be sampled, we consider the problem of identifying the one with the largest mean using a delta-correct algorithm (an adaptive, sequential algorithm that restricts the probability of error to a specified delta) that has minimum sample complexity. Lower bounds for delta-correct algorithms are well known. Delta-correct algorithms that match the lower bound asymptotically as delta reduces to zero have been previously developed when arm distributions are restricted to a single parameter exponential family. In this paper, we first observe a negative result that some restrictions are essential, as otherwise under a delta-correct algorithm, distributions with unbounded support would require an infinite number of samples in expectation. We then propose a delta-correct algorithm that matches the lower bound as delta reduces to zero under the mild restriction that a known bound on the expectation of a non-negative, continuous, increasing convex function (for example, the squared moment) of the underlying random variables, exists. We also propose batch processing and identify near optimal batch sizes to substantially speed up the proposed algorithm. The best-arm problem has many learning applications, including recommendation systems and product selection. It is also a well studied classic problem in the simulation community.
A Survey of Explainable AI Terminology

The ﬁeld of Explainable Artiﬁcial Intelligence attempts to solve the problem of algorithmic opacity. Many terms and notions have been introduced recently to deﬁne Explainable AI, however, these terms seem to be used inter-changeably, which is leading to confusion in this rapidly expanding ﬁeld. As a solution to overcome this problem, we present an analysis of the existing research literature and examine how key terms, such as transparency , intelligibility , interpretability , and explainability are referred to and in what context. This paper, thus, moves towards a standard terminology for Explainable AI.
Findings and a Possible Explanation

Does official aid pave the road for private foreign investment or does it suffocate private initiative by diverting resources towards unproductive activities? In this paper we explore this question using data for a large number of developing and emerging economies. Controlling for countries‘ institutional environment, we find that, evaluated at the mean, the marginal effect of aid on private foreign investment is close to zero. Surprisingly, however, the effect is strictly positive for countries in which private agents face a substantial regulatory burden. After testing the robustness of this result, we offer a theoretical model that is able to rationalize our puzzling observation. JEL classifications: F35, F21, O16, O19
Barchan Sand Dunes Collisions Detection in High Resolution Satellite Images based on Image Clustering and Transfer Learning

Desertification is a core concern for populations living in arid and semi-arid areas. Specifically, barchans dunes which are the fastest moving sand dunes put constant pressure over human settlements and infrastructure. Remote sensing was used to analyze sand dunes around Tarfaya city located in the south of Morocco in the Sahara Desert. In this area, dunes form long corridors made of thousands crescent shaped dunes moving simultaneously, thus, making data gathering in the field very difficult. A computer vision approach based on machine learning was proposed to automate the detection of barchans sand dunes and monitor their complex interactions. An IKONOS high resolution satellite image was used with the combination of a clustering algorithm for image segmentation of the dunes corridor, and a Transfer Learning model which was trained to detect three classes of objects: Barchan dunes, bare fields and a new introduced class consisting of dunes collisions. Indeed, collisions were very difficult to model using classical digital image processing methods due to the large variability of their shapes. The model was trained on 1000 image patches which were annotated then augmented to generate a larger dataset. The obtained detection results showed an accuracy of 84,01%. The interest of this research was to provide with a relatively affordable approach for tracking sand dunes locations in order to better understand their dynamics.
Keep it Simple: How Visual Complexity and Preferences Impact Search Efficiency on Websites

We conducted an online study with 165 participants in which we tested their search efficiency and information recall. We confirm that the visual complexity of a website has a significant negative effect on search efficiency and information recall. However, the search efficiency of those who preferred simple websites was more negatively affected by highly complex websites than those who preferred high visual complexity. Our results suggest that diverse visual preferences need to be accounted for when assessing search response time and information recall in HCI experiments, testing software, or A/B tests.
Chemistry and Physics of Lipids

Steroid flares are common side effects associated with corticosteroid treatment, and have been recently theorized to be a consequence of drug crystallization. It was previously reported that the lipid bilayer can promote crystallization of cortisone at high local concentrations. Here, we studied the effect of cholesterol on this membrane induced cortisone crystallization. By combining x-ray diffraction and Molecular Dynamics simulations we observe that that the presence of cholesterol suppresses cortisone-induced membrane thinning and cortisone transnucleation. Cortisone located in the head-tail interface of the membranes also in the presence of cholesterol. The cholesterol molecules were found to be tilted and displaced towards the bilayer center as function of cortisone concentration, away from their canonical position. Our results show that membrane cholesterol may play an important role in the ability of lipid bilayers to catalyze the formation of corticosteroid
The Diagnostic Accuracy of NBI Assisted Digital Flexible Ureteroscopy in Upper Tract Urothelial Carcinomas

Introduction and Objectives. Digital flexible ureteroscopy (FURS) became an important diagnostic and follow-up procedure in upper urinary tract urothelial carcinoma (UTUC). Even so, many characteristics that can suggest nature of a lesion still represent a difficult challenge. The endpoint of the trial was to determine the diagnostic accuracy of NBI assisted digital flexible ureteroscopy versus standard FURS (WL) in upper tract urothelial carcinomas. Materials and Methods. White light (WL) and NBI-assisted digital FURS were performed in 65 patients, admitted for suspicion of UTUC. The inclusion criteria consisted of unilateral hematuria during cystoscopy, abnormal urinary cytology and pyelocaliceal system filling defects according to CT results. Patients with invasive UUT according to CT results were excluded. The investigation protocol included abdominal ultrasound, cytology, contrast CT scan and cystoscopy. The endoscopic examination use digital white light flexible ureteroscopy, followed by the NBI assessment of the renal collecting system urothelium. Results. A total of 78 UTUC lesions (23 pTa, 37 pT1 and 18 CIS) were confirmed by pathology in 65 patients. pTa, pT1 and CIS tumors detection rates were determined for WL combined with NBI mode by comparison to the WL evaluation overall UTUC 78 lesions (100%) versus 67 lesions (85.9%); pTa 23 lesions (100%) versus 17 lesions (73.9%); pT1 37 lesions (100%) versus 35 lesions (94.5%) and CIS 18 lesions (100%) versus 15 lesions (83.3%). Detection rate was improved in WL combined with NBI mode when compared with standard FURS (100% versus 84.4%). A total of 11 (14.1%) UTUC tumors (6 pTa, 2 pT1 and 3 CIS) were solely observed in NBI. Targeted biopsies’ specificity Rate of false-positive results 10.3% vs. 17.8% (WL vs. WL+NBI) Conclusions. NBI was an important tool regarding detection because it is providing a significant diagnostic improvement during digital flexible ureteroscopy. Key-words: digital flexible ureteroscopy, urothelial cancer, narrow-band imaging, white light. Correspondence to: Dr. Marin Bloju, M.D. “Saint John” Emergency Clinical Hospital, Urology Department 13 Vitan-Barzesti Str. , sector 3, code 077160, Bucharest, Romania Tel: +40749184205; Fax: +40213345970 e-mail: blojumarin@gmail.comv
Homothetic Bishop Motion Of Euclidean Submanifolds in Euclidean 3-Space

In this study, we gave an alternative kinematic model for two smooth submanifolds M and N both on another and inside of another, along given any two curves which are tangent to each other on M and N at every moment , which the motion accepted that these curves are trajectories of the instantaneous rotation centers at the contact points of these submanifolds and we gave some remarks for the kinematic model at every moments by using Bishop frame. In addition, we established the relationships between Bishop curvatures of the moving and fixed pole curves.
Information Visualization in Software Maintenance and Evolution

Software visualization is concerned with the static visualization as well as the animation of software artifacts, such as source code, executable programs, and the data they manipulate, and their attributes, such as size, complexity, or dependencies. Software visualization techniques are widely used in the areas of software maintenance and evolution, where typically large amounts of complex data need to be understood and a high degree of interaction between software engineers and automatic analyses is required. The present work provides a survey of 23 software visualization systems in the field of software maintenance and evolution and infers a categorization based on 5 main classes including task, data, data processing, representation and availability. The results of this survey help to ascertain the current role of software visualization in software engineering from the perspective of researchers in these domains and give hints on future research avenues.
Hydrogen Sensing Performance of ZnO Schottky Diodes in Humid Ambient Conditions with PMMA Membrane Layer

Enhanced hydrogen sensing performance of Pt Schottky diodes on ZnO single crystal wafers in humid ambient conditions is reported using a polymethylmethacrylate (PMMA) membrane layer. ZnO diode sensors showed little change in forward current when switching to wet ambient H2 conditions with 100% relative humidity. This sensitivity drop in the presence of water vapor can be attributed to surface coverage of hydroxyl groups on the Pt surface in humid ambient conditions. The hydrogen sensitivity of PMMA-coated diode sensors recovered up to 805% in wet H2 ambient conditions at room temperature. The PMMA layer can selectively filter water vapor and allow H2 molecules to pass through the membrane layer. It is clear that the PMMA layer can effectively serve as a moisture barrier because of low water vapor permeability and its hydrophobicity. In both dry and wet conditions, ZnO diodes exhibited relatively fast and stable on/off switching in each cycle with good repeatability.