Miracle-dz/UniFAR-FTUs huggingface dataset:
Hoarding Disorder: A Case Report

Hoarding disorder is characterized by a persistent difficulty discarding items, the desire to save items to avoid negative feelings associated with discarding them, significant accumulation of possessions that clutter active living areas and significant distress or impairment in areas of functioning. We present a case of a 52-year-old married man who was referred to the psychiatry department for collecting various objects that were deposited unorganized in the patient’s house. He reported to get anxious when someone else discarded some of these items. This behavior had started about 20 years earlier and it worsened with time. The garage, attic, and surroundings of his house were cluttered with these objects. On admission, in the mental status examination, it was observed that the patient was vigil, calm, and oriented; his mood was depressed; his speech was organized, logic, and coherent; and there were no psychotic symptoms. A psychotherapeutic plan was designed for the patient, including psychoeducation, cognitive restructuring, and exposure to discarding objects. A pharmacological treatment with fluvoxamine 100 mg tid and quetiapine 200 mg was added to the therapeutic plan, with the progressive improvement of the symptoms. Nine months later, the patient was able to sell/recycle most of the items. Studies evaluating treatment for HD are necessary to improve the quality of life of the patients and to reduce the hazards associated with the disorder.
Interleaving Reasoning and Selection with Semantic Data

The scalability is a crucial topic for practical applications of the Semantic Web, because of the extremely large scale data on the Web. In this paper we propose a general framework of interleaving reasoning and selection with semantic data. The main idea of the interleaving framework is to use some selectors to select only limited and relevant part of data for reasoning, so that the efficiency and the scalability of reasoning can be improved. In this paper, we examine how the interleaving framework can be achieved within the LarKC platform, a platform for massive distributed incomplete reasoning that will remove the scalability barriers of currently existing reasoning systems for the Semantic Web. We discuss the implementation of variant interleaving approaches within the LarKC platform.
Stages Classification on Cervical Cell Images: A Comparative Study

The cancer of the cervix is called cervical cancer. An element of a woman's womb is the cervix. Among other diseases that affect women, it came in at number four on the list. According to the World Health Organization's cancer report, there are currently roughly 10 million new cases of cancer recorded year, and by 2020, that number will have doubled to 20 million. With the right screening and awareness campaign, this number can be cut in half. A quarter of cancers are said to be brought on by infections, including hepatitis B, which is connected to liver cancer, and the human papillomavirus, which is connected to cervix cancer. Deep learning techniques have been successfully applied to a wide range of image classification tasks, and have the potential to be highly effective for cervical cell image classification as well. In this project, we propose to use a deep learning-based approach to classify cervical cell images into different categories, such as normal cells, abnormal cells, or cancerous cells. To achieve this goal, we will first pre-process the images to prepare them for analysis, and then extract relevant features. These features will be used to train a deep learning model, which will be fine-tuned and optimized for the specific task of cervical cell classification. In this project, transfer learning method will be by using pre-trained classifier such as ResNet-50, GoogLeNet and EfficientNet-b0. We will evaluate the performance of the model using metrics such as accuracy and compare our results to those obtained using traditional machine learning approaches. From this project, the highest accuracy achieved are 51.49%. The goal to develop a pre-trained classifier transfer learning can be used to accurately and reliably classify cervical cell images in a clinical setting are achieved.
Combination of Dynamic-TDD and Static-TDD Based on Adaptive Power Control

To support dynamic traffic-asymmetry property in future wireless communication systems, we propose a hybrid- TDD scheme, combination of static-TDD and dynamic-TDD. By using adaptive power control, inner/outer scheduling and hybrid-link for guaranteeing safe downlink/uplink time-slots, we can effectively solve the interference problems of the dynamic- TDD scheme. Especially, an adaptive downlink power control strategy in hybrid-link region can efficiently reduce severe BS- BS interference compared with other conventional schemes. Through numerical analysis and simulation results, we prove that our proposed scheme has the best performance compared with other conventional schemes in view of spectral efficiency and downlink/uplink outage probability.
LMI-Based Stability Analysis of Fuzzy-Model-Based Control Systems Using Approximated Polynomial Membership Functions

Relaxed linear-matrix-inequality-based stability conditions for fuzzy-model-based control systems with imperfect premise matching are proposed. First, the derivative of the Lyapunov function, containing the product terms of the fuzzy model and fuzzy controller membership functions, is derived. Then, in the partitioned operating domain of the membership functions, the relations between the state variables and the mentioned product terms are represented by approximated polynomials in each subregion. Next, the stability conditions containing the information of all subsystems and the approximated polynomials are derived. In addition, the concept of the S-procedure is utilized to release the conservativeness caused by considering the whole operating region for approximated polynomials. It is shown that the well-known stability conditions can be special cases of the proposed stability conditions. Simulation examples are given to illustrate the validity of the proposed approach.
Guidelines for success.

The University of Richmond is a complex organization with diverse work environments. Flexible Work Arrangements may help to optimally balance the needs of the University and an individual staff member and/or work team. Flexible work options may not be suitable for all positions. The following guidelines will help supervisors and employees think more carefully and creatively about how a flexible work arrangement may work. 1. Flexible work options must support the University's goals, including cost-effectiveness and customer service. 2. Jobs must be appropriate for the flexible work option and equipment, systems or materials must be available during non-traditional hours or outside of the workplace to support arrangement, if necessary. New funds will not be added to accommodate a flexible work option, whether through additional hours or new equipment. 3. The employee's work style and performance history must support the requirements of the option (e.g., ability to work independently without direct supervision and past/current performance reviews with at least a meets expectations rating). 4. Written plans must be developed and approved for the flexible work arrangement to document the understanding between all involved parties. 5. Division and department leadership must approve the plan and be prepared to manage the work under the conditions of the arrangement. The President's Cabinet member must approve each request or determine the appropriate individual(s) to approve these arrangements in addition to the immediate supervisor. Department leadership has sole responsibility for determining all work schedules. 6. Special arrangements for communication and accountability should be established. 7. An effort should be made to maintain a collaborative environment, through special opportunities for employees to have constructive interactions with the rest of the department. 8. The pilot period should be used to evaluate an arrangement and resolve any issues prior to making a longer term commitment by either the supervisor or staff member. 9. All parties must be prepared to return to pre-flexibility arrangements if the goals of the arrangement are not being met. • Consider need, work conditions, type of flexible work arrangement that would meet this need and why • Describe the benefits supervisor/customers/co-workers would experience based on the option • Anticipate challenges, provide suggestions to address • Prepare written request • Be open to feedback and changes to the proposal • Be accountable for written agreements
VISA: Visual Sequence Analysis for the comparison of multiple amino acid sequences

VISA (VIsual Sequence Analysis) is a software package that displays global similarities within a set of related protein sequences. The program identifies amino acid patterns that are common to many members of the set of sequences and displays them as a series of histograms. Individual peaks on the display can be assigned a color and analogous peaks in the other sequences are then automatically marked in the same color. This can be repeated for each significant peak and leads to a display in which major matching segments of multiple amino acid sequences appear as dominant peaks of the histograms with matching colors. These peaks usually correspond to the conserved sequence motifs that are characteristic of particular proteins. An extensive set of software tools is included to help the localization, visualization and analysis of the global similarities displayed. VISA provides a graphic overview of the sequence similarity that can help to understand the architecture of the protein family and can be helpful while designing experiments to probe function.
Optimizing Distributed Read-Only Transactions Using Multiversion Concurrency

Distributed transactional systems typically achieve efficiency by abandoning true serializability for weaker forms of consistency that are difficult to reason about because they expose the concurrency in the underlying system. We explore an alternate route: weakening causality instead of consistency. Our proposed algorithm achieves global serializability by sacrificing global causality, which we argue is reasonable in many situations. This allows our algorithm to achieve efficiency by permitting read-only transactions to operate on stale but locally available cache data. We present the details of a transactional block storage protocol that implements this form of concurrency control, as well as a performance evaluation of an experimental implementation of this protocol and comparison against conventional optimistic concurrency control.
Effect of Oftocord gel vs Actovegin on regenerative processes following mechanical trauma to the rabbit cornea

E-mail: ukrainanataliy@gmail.com Background: Mechanical damage to the cornea is followed by reduced collagen synthesis and imbalance in collagen ratio in the defect area, and by initiation of apoptosis in connective tissue cells, which may result in the transformation of granulation tissue into fibrous tissue. To prevent these alterations, corneal healing processes should be regulated with medications aimed at restoring corneal structure. Purpose: To compare the effect of Oftocord eye gel and Actovegin gel on changes in collagen I and collagen III synthesis and on apoptosis process in the rabbit cornea following mechanical corneal trauma. Materials and Methods: Thirty six Chinchilla rabbits were subjected to a standardized mechanical corneal damage. Thereafter, their corneal defect sites received one of the following treatments for 21 days: placebo gel with no active ingredient (Group 1), Oftocord gel containing a low-molecular weight fraction of human cord blood (HCBF) (Group 2), and Actovegin gel (Group 3). Enucleation for histological and histochemical studies was performed immediately after euthanasia at days 3, 7, 14 and 21. The composition of HCBF was studied and compared with that of Actovegin. Results: Oftocord gel applied to the site of corneal damage prevented the development of apoptosis and improved imbalance in the ratio of newly synthesized collagen I and III in the corneal defect area. The composition of HCBF versus Actovegin was studied to elucidate the mechanism of the effect of Oftocord gel on the metabolism of connective tissue. HCBF and Actovegin substantially differed from each other in composition both qualitatively and quantitatively, with the greatest differences observed in the content of glucuronic acid and of the glycoproteins exhibiting a dominating effect on the metabolism of the connective tissue. Conclusion: Applying Oftocord gel to the site of corneal damage promoted collagen I and III synthesis normalization, and reduction in the percentage of apoptotic cells in the cornea throughout the study. HCBF and Actovegin substantially differed from each other in composition both qualitatively and quantitatively. Key-words:
Question Retrieval in Community Question Answering Enhanced by Tags Information in a Deep Neural Network Framework

Community Question Answering (CQA) platforms need to be easy and fast in question or answer exploration. It is common to use tags to categorize items in these platforms, and create taxonomies that assist exploration, indexing and searching. The focus of this thesis lies in recommending similar questions (Question Retrieval) by simultaneously deciding whether the contexts of two questions are similar, and which tags are applicable for each question. Current methods targeted for Question Retrieval in CQA either consider deep learning approaches [44, 8], or conventional approaches that utilize the available information on questions’ tags [11, 83]. The former framework is proved to be more powerful –especially in the case with loads of available data–, while the later is faster and successful in cases with few data. In this thesis, a deep learning approach for both question retrieval and tags recommendation is proposed, and their joint learning is found successful for transferring knowledge in the Question Retrieval task, after applying it on the AskUbuntu forum data. Additionally the neural network based Tag Recommendation performs better than the existing conventional methods.
Decoding system for the AUA codon by tRNAIle with the UAU anticodon in Mycoplasma mobile

Deciphering the genetic code is a fundamental process in all living organisms. In many bacteria, AUA codons are deciphered by tRNAIle2 bearing lysidine (L) at the wobble position. L is a modified cytidine introduced post-transcriptionally by tRNAIle-lysidine synthetase (TilS). Some bacteria, including Mycoplasma mobile, do not carry the tilS gene, indicating that they have established a different system to decode AUA codons. In this study, tRNAIle2 has been isolated from M. mobile and was found to contain a UAU anticodon without any modification. Mycoplasma mobile isoleucyl-tRNA synthetase (IleRS) recognized the UAU anticodon, whereas Escherichia coli IleRS did not efficiently aminoacylate tRNAIle2UAU. In M. mobile IleRS, a single Arg residue at position 865 was critical for specificity for the UAU anticodon and, when the corresponding site (W905) in E. coli IleRS was substituted with Arg, the W905R mutant efficiently aminoacylated tRNA with UAU anticodon. Mycoplasma mobile tRNAIle2 cannot distinguish between AUA and AUG codon on E. coli ribosome. However, on M. mobile ribosome, M. mobile tRNAIle2UAU specifically recognized AUA codon, and not AUG codon, suggesting M. mobile ribosome has a property that prevents misreading of AUG codon. These findings provide an insight into the evolutionary reorganization of the AUA decoding system.
A measurement of the unstirred aqueous boundary layer in a Franz diffusion cell

The unstirred aqueous boundary layer (ABL) thickness was determined for modified Franz diffusion cells using three test compounds—parathion, 4-hexylresorcinol, and 2,4-dinitrochlorobenzene (DNCB). Steady-state fluxes through one, two, and three dialysis membranes in series were achieved in donor-saturated, infinite-dose permeation experiments. These results were then used to calculate the total diffusive resistance for each case, as well as an extrapolated zero membrane value which was used in conjunction with an estimate of the aqueous diffusivities to calculate the ABL thickness. The resulting value (mean ± SE) was 0.070 ± 0.004 cm.
CDuce: an XML-centric general-purpose language

We present the functional language CDuce, discuss some design issues, and show its adequacy for working with XML documents. Distinctive features of CDuce are a powerful pattern matching, first class functions, overloaded functions, a very rich type system (arrows, sequences, pairs, records, intersections, unions, differences), precise type inference for patterns and error localization, and a natural interpretation of types as sets of values. We also outline some important implementation issues; in particular, a dispatch algorithm that demonstrates how static type information can be used to obtain very efficient compilation schemas.
A new and simple robust control design for linear systems with structured time varying real parameter uncertainty

In this paper, a new methodology for robust control design of linear systems with structured real parameter uncertainty is presented. The distinctive feature of this method is that it explicitly offers robustness guarantees for real parameter uncertainty. This provides a much needed alternative design method compared to existing robust control design methods such as H∞ and μ -synthesis which tend to be conservative when specialized to real parameter uncertainty. The proposed robust control design method is inspired by the concept of sign (qualitative) stability in ecology, leading to a specific structure of the desired closed loop system matrix involving pseudosymmetry. Thus, this design method focuses on achieving a specific closed loop system structure that promises the desired robustness measure as opposed to building a controller as a function of the uncertainty. This design procedure is simple and straightforward without requiring intensive computation. The proposed algorithm is promising with considerable scope for extensions and improvements adding to the bank of available control design methods for linear state space systems.
Protocol Analysis as a Tool in Function and Task Analysis

Abstract : A protocol is a record of procedural steps undertaken in a process. In studying human-machine systems, observations of human operators obtained from sources such as videotapes are coded to create a descriptive protocol of behaviours, task elements, goals, etc. This record is essentially sequential in nature, but methods for analysing sequential data are relatively new. The kinds of information that protocol analysis can provide, that might be useful in function/task analysis, are examined. Methods for analysing sequences are surveyed, and recent developments in using minimum message length methods for producing probabilistic finite state automaton models of sequential behaviour are discussed.
Hough Transform Run Length Encoding for Real-Time Image Processing

This paper introduces a real-time image processing algorithm based on run length encoding (RLE) for a vision-based intelligent controller of a Humanoid Robot system. The RLE algorithms identify objects in the image, providing their size and position. The RLE Hough transform is also presented for recognition of landmarks in the image to aid robot localization. The vision system presented has been tested by simulating the dynamics of the robot system as well as the image processing subsystem
Incoherent holographic imaging of subsurface structures with volume holographic gratings

Under broadband illumination, a multiplane microscopy incorporating volume holographic gratings (VHGs) to observe three-dimensional structures of biological samples with different depth simultaneously is presented. VHGs formed in thick recording materials, including PQ-PMMA, provide strong angular and wavelength transmittance filtering properties, which enable acquiring spatial–spectral images of fine structures within biological samples. Here, we experimentally demonstrate this microscopic imaging capability to obtain multiple depth-resolved mixed pollen grains images of fine structures from eight depths in one shot.
Sensitive and Specific Detection of Yersinia pseudotuberculosis by Loop-Mediated Isothermal Amplification

ABSTRACT We developed a loop-mediated isothermal amplification method able to detect Yersinia pseudotuberculosis strains in 30 min by using six primers designed by targeting the inv gene. This method is more sensitive than PCR and might be a useful tool for detecting and identifying Y. pseudotuberculosis.
"One step beyond".

Inevitably, reading is one of the requirements to be undergone. To improve the performance and quality, someone needs to have something new every day. It will suggest you to have more inspirations, then. However, the needs of inspirations will make you searching for some sources. Even from the other people experience, internet, and many books. Books and internet are the recommended media to help you improving your quality and performance.
On the measurement of weak repulsive and frictional colloidal forces by reflection interference contrast microscopy

terference contrast (RIC) microscopy in combination with real-time image processing. The temporal fluctuations of the absolute sphere-to-substrate distance are determined from changes of interference fringe pattern (Newtonian rings). Both the shape about its minimum and the absolute minimum equilibrium distance of the interaction potential can be obtained by analyzing the distribution of distances in terms of a Boltzmann distribution. The timeautocorrelation function of distances yields the hydrodynamic friction. The method has been applied to the interaction of latex spheres with glass substrates in salt solutions of different ionic strength. The results correspond to classical electrostatic double layer theory that leads to a characteristic dependence of the mean separation distance and the mean square displacement on the radius of the spheres. The hydrodynamic friction close to a wall exhibits the predicted inverse proportionality to the sphere-wall distance. It is demonstrated that the method can be applied to study the interaction between biologically relevant objects such as giant vesicles with bilayer covered substrates.
Developmental expression patterns of candidate cofactors for vertebrate six family transcription factors

Six family transcription factors play important roles in craniofacial development. Their transcriptional activity can be modified by cofactor proteins. Two Six genes and one cofactor gene (Eya1) are involved in the human Branchio‐otic (BO) and Branchio‐otic‐renal (BOR) syndromes. However, mutations in Six and Eya genes only account for approximately half of these patients. To discover potential new causative genes, we searched the Xenopus genome for orthologues of Drosophila cofactor proteins that interact with the fly Six‐related factor, SO. We identified 33 Xenopus genes with high sequence identity to 20 of the 25 fly SO‐interacting proteins. We provide the developmental expression patterns of the Xenopus orthologues for 11 of the fly genes, and demonstrate that all are expressed in developing craniofacial tissues with at least partial overlap with Six1/Six2. We speculate that these genes may function as Six‐interacting partners with important roles in vertebrate craniofacial development and perhaps congenital syndromes. Developmental Dynamics 239:3446–3466, 2010. © 2010 Wiley‐Liss, Inc.