Miracle-dz/UniFAR-FTUs huggingface dataset:
Biomechanical and Biologic Augmentation for the Treatment of Massive Rotator Cuff Tears

Recent studies have reported that massive rotator cuff tears do not heal as predictably as, and may have diminished clinical outcomes compared with, smaller rotator cuff tears. An improved understanding of the biologic degeneration and the biomechanical alterations of massive rotator cuff tears should provide better strategies to optimize outcomes. The approach to patients with massive rotator cuff tears requires careful assessment of the patient and the extent of rotator cuff degeneration to determine the appropriate treatment. For a rotator cuff tear that is repairable, the goal is to produce a tension-free, anatomical repair that restores the footprint using soft tissue releases and various suturing techniques, including double-row, transosseous-equivalent suture bridges or the rip-stop stitch. For irreparable cuff tears, the surgeon may elect to proceed with 1 of 2 approaches: (1) palliative surgical treatment—that is, rotator cuff debridement, synovectomy, biceps tenotomy, tuberoplasty and/or nonanatomical repair with partial repair; or (2) salvage treatment with various tendon transfers. Even though the biomechanical constructs for rotator cuff repairs have been improved, the integrity of the repair still depends on biologic healing at the tendon-to-bone junction. There has been much interest in the development of a scaffold to bridge massive rotator cuff tears and adjuvant biologic modalities including growth factors and tenocyte-seeded scaffolds to augment tendon-to-bone healing. The treatment of rotator cuff disease has improved considerably, but massive rotator cuff tears continue to pose a challenging problem for orthopaedic surgeons.
Efficacy of Real-Time Functional Magnetic Resonance Imaging Neurofeedback Training (fMRI-NFT) in the Treatment of Tinnitus

s of perception are represented in pathways and central regions through feature detection and pattern of firing. These central regions then interact to reconstruct the components into a perception (Kandel, Schwartz, & Jessell, 1991). A. Auditory System The auditory system is responsible for the sense of sound. In short, sounds are produced by vibrations. Vibrations produce alternating compression and rarefaction of the surrounding air radiating outward from the source. The frequency of these pressure waves determines the pitch of the sound produced. The human ear can sense a range of frequencies from 20 to 20,000 Hz. The amplitude of the wave, measured in decibels (dB), determines the loudness of the sound: dB = 20 ⋅ log10 Pt PT ( 1 )
Optimal Migration Path Searching Using Path Adjustment and Reassignment for Mobile Agent

In traditional agent systems, if various and large quantities of tasks are required from users, network traffic overload and extended processing time are resulted by continuous increase in the sizes of agents. Also, if an agent migrates to the destination node following user-specified passive routing schedules, it cannot actively cope with some accidental situations, such as communication loss or node obstacles, and requires high cost for node traversals. Therefore, more efficient migration techniques for mobile agents that can solve the excessive network traffic problems are required to guarantee the reliability of migration and reduce traversal task processing time. In this paper, we present the migration method of a mobile agent that uses network traffic perception instead of a user-specified passive routing scheduling system for an automatic migration. Also, we formulate a network traffic measurement model to guarantee the optimality of selected paths, and propose path adjustment and reassignment techniques to ensure the reliability of migrations on distributed nodes and reduce traversal task processing time. The proposed migration method aims at minimizing the required time for traversal processing to all destination nodes in the network by supporting active and automatic routing scheduling in optimal migration path searches. And the purpose of it, as well as path adjustment and reassignment techniques, is to guarantee reliable, stable and fast migration of mobile agents.
A Versatile Genetic Algorithm for Network Planning

In this paper, a new genetic algorithm is introduced which is used as a versatile tool for solving different types of optimization problems arising in the field of network planning. The genetic algorithm is applied to the minimum Steiner tree problem which plays an important role in the design of tree-structured passive optical networks in the access area. Furthermore, the same genetic algorithm is utilized for integrated planning of packet switched data networks.
Long term cognitive outcome in herpes simplex encephalitis

Aims: Herpes Simplex Encephalitis (HSE) is a leading cause of acquired cognitive disability. We aimed to describe cognitive sequelae of HSE in relation to clinical variables during hospitalization. Methods: Consecutive cases of encephalitis with a discharge diagnosis of HSE from January 2010 to December2016 were reviewed to collect the clinical details. Glasgow-Outcome-Score (GOS), Barthel-Index (BI), Seizure-Score (Engel-Score, ES) at the time of discharge, first follow-up and final follow-up were noted. A detailed neuropsychological evaluation was done at last follow-up in survivors and these scores were compared to clinical variables during hospitalization. c2 test, Fisher’s exact test and ANOVA were used for analysis. Results: There were 30 patients (11males) at a median age of 31.5years. Cerebro-spinal-fluid was abnormal in 82.8%, electroencephalogram in 96.7% and Magnetic Resonance Imaging (MRI) in 80% patients. All were treated with acyclovir and 80% had intensive-care-unit stay. Mortality was 26.7% and it correlated with glasgow coma score
Construcción y validación del Inventario Autoeficacia Percibida para el Control de Peso Design and validation of a weigh control self-efficac inventory

This paper presents the development and validation of a weight control selfefficacy inventory measuring self-efficacy perceptions in three areas of weight control –feeding style, influence of external stimuli on over-eating behaviors and physical activity patterns. Following an exhaustive literature review, an opinion interview and consultation with 4 experts in the area, 120 items were built. The statistical item analysis in a sample of 193 students allowed us to sort out 37 items out of the original pool. Then, reliability and validity analyses were performed in a sample of 439 students. Factor analysis resulted in 3 factors explaining 44.083% of the total variance. Satisfactory internal consistencies were found for each factor (.88, .91 and .88 respectively). Results are discussed and directions for future research are suggested.
Causal Association Mining for Detection of Adverse Drug Reactions

Adverse drug reactions (ADRs) are the harmful reactions of the drugs caused to humans due to allergies, overdose, chemical reactions between two chemicals in the medicines, etc. To reduce these reactions is a very important task so as to save lives of the patients as ADRs are a serious topic nowadays [4]. Detecting such harmful effects as early as possible is a very important to prevent harmful consequences. Therefore, mining causal relationships between the drug related events is essential. A method for detecting the potential relationship between drug and ICD is done using causal association rules suitable for the frequent events[1]. Sometimes an infrequent nature of the drugs can cause tremendous harm especially in case of Type-2 diabetes. A new interestingness measure called as exclusive causal leverage can be used based on fuzzy Recognition Primed Decision model (RPD) [3]. On the basis of this measure the relationship between the drug and associated drug reactions can be mined.
ZONE THEORY APPLIED TO BOOST RECOGNITION RATE OF HMM BASED SYSTEM

Character recognition has attracted the attention of researchers since the early days of computing. Since then, a number of successful systems have been forwarded. Study reveals that a promising recognition system should have two essential factors viz. a good combination of features and a strong classifier. So far the matter of combination of features is there; in this paper features based on the concept of Zone theory have been applied in unison with Gradient, Projection and curvature features to represent a character image efficiently.The success of automatic speech recognition systems based on HMM has motivated recent attempts to apply similar methods to character recognition. It has been found that the limited recognition rate of 1D HMM Character Recognition System and requirement of respectively larger no. of samples for construction of 2D HMM system, HMM based character recognition system is lagging behind other systems so far assured practical application is concerned. The purpose of this research work is to enhance the recognition rate of an off-line handwritten Character Recognition System using 1D HMM with an ideal combination of features followed by decreased algorithm complexity, so that the processing time could be reduced (very close to real time system) while providing higher recognition accuracy. Ultimately, it could be implemented practically with full confidence. The overall efficiency of the system has been found to be 98.46%
Analysis of waveguide discontinuities by a vector finite element method

In this paper, we have designed rectangular waveguides with discontinuities to analyze and improve their performance by using finite element solution method. Mathematical formulation is shown for the transverse electric mode for analyzing the waveguides. The analyses of some other wave properties (both electric and magnetic) of the designed rectangular waveguides are discussed in this paper. The S-parameters of the waveguides as a function of frequency are also calculated to find the cavity resonance frequency windows for minimizing the losses.
Effects of Proton Pump Inhibitor Administration and Intake of a Combination of Yogurt and Galactooligosaccharides on Bone and Mineral Metabolism in Rats

The aim of this study was to investigate the effects of proton pump inhibitor (PPI), the most potent acid-suppressing drug, administration and intake of a combination of yogurt and galactooligosaccharides (YG) on bone and mineral metabolism in adult rats. Twelve-week-old male Wistar rats were divided into three groups: a control group fed the control diet with vehicle administration, a PPI group fed the control diet with PPI administration and a YG + PPI group fed the YG diet with PPI administration. All of the groups received their respective experimental diets and daily subcutaneous injection of the vehicle or PPI for 12 weeks. The PPI group showed significantly lower bone mineral density (BMD) of the femur and the lumbar vertebrae and serum fibroblast growth factor 23 (FGF23) and significantly higher phosphorus absorption and serum 1,25-dihydroxyvitamin D (1,25(OH)2D) than the control group, although PPI did not affect calcium absorption. The PPI + YG group showed significantly higher BMD and serum FGF23 and significantly lower phosphorus absorption and serum 1,25(OH)2D than the PPI group. Furthermore, the PPI + YG group showed higher calcium absorption than the control group. These results suggest that although PPI administration did not affect calcium absorption, it adversely affected BMD and influenced phosphorus metabolism in adult rats. Furthermore, the YG diet beneficially affected BMD and attenuated the effects of PPI administration on phosphorus metabolism.
The Role of Individualism and Collectivism in Consumer Perceptions toward e-Retailers' Ethics

When Online retailers and consumers must transact through online technical interface rather than interacting with employees in a physical space, consumers¡¦ perceptions (i.e., the perceptions of venders¡¦ ethics) would play an vital role. The proposed study examined the relationship between consumers¡¦ perception regarding the ethics of online retailers (CPEOR) and the consumers¡¦ cultural orientation. A valid sample of 949 online shoppers in Taiwan was obtained. Findings indicated that consumers with individualism orientation will perceive lower the ethics of online retailers rather than consumers hold collectivism tangency. Finally, theoretical and managerial contributions are presented.
Location Effects and Portfolio Tilting

We show individuals tilt their portfolios towards stocks based on geographic location (where the investor currently lives, where the investor was born, where the company is headquartered, and where the stock is listed). Surprisingly, stocks that are traded near where an investor lives receive the highest weights in the investor’s portfolio—a result that offers a startling re-interpretation of the existing home bias literature. We believe this is the first paper to establish a clientele effect based on location of trade. Data are consistent with a framework in which the investor faces a costly search process when choosing which stock to buy. These costs are shown to have long-lived effects. Our research exploits unique features of an emerging stock market that allow us to decompose holdings into orthogonal, location-based dimensions. Results are robust to numerous econometric specifications.
GRAPH BASED METHODS FOR LOCALISATION BY A SKETCH

This paper describes how a sketched location can be identified in a large collection of reference data. This is done by encoding the information of both datasets in a graph based structure, which preserves the topological properties of the sketched area. Finding the correspondence is a matching problem. In order to reduce complexity first a set of possible correspondences are identified using the following approach. From these graphs the frequency of relevant objects and relations is extracted and represented as a histogram. Distance measures for probability distributions can be used to judge if they are similar enough to represent the same location. Considerations on the information contents are leading to a way how to choose object types and relations used for the matching process. The distance measures are the fundamental tool for an efficient retrieval strategy. Since they declare a metric space, they can be used in a metric tree. Only promising locations are then considered in the matching process.
Proximal Support Vector Machine for Disease Classification

Parameter selection is one of the important steps involved in any model fitting. In this paper we have used Uniform Design Tables to choose the parameters for PSVM and SVM to classify the data. UD is one of the efficient space filling designs, which spreads the combination of parameters in the space uniformly scattered and generalizes the performance of the model efficiently. This paper compares performance of Proximal SVM and SVM with respect to prediction accuracy, using clinical trial outcomes on spinal tuberculosis treated patients. The PSVM performs slightly better than SVM in the training set, but the performance is as good as SVM in the test set.
Blastocyst Microinjection Automation

Blastocyst microinjections are routinely involved in the process of creating genetically modified mice for biomedical research, but their efficiency is highly dependent on the skills of the operators. As a consequence, much time and resources are required for training microinjection personnel. This situation has been aggravated by the rapid growth of genetic research, which has increased the demand for mutant animals. Therefore, increased productivity and efficiency in this area are highly desired. Here, we pursue these goals through the automation of a previously developed teleoperated blastocyst microinjection system. This included the design of a new system setup to facilitate automation, the definition of rules for automatic microinjections, the implementation of video processing algorithms to extract feedback information from microscope images, and the creation of control algorithms for process automation. Experimentation conducted with this new system and operator assistance during the cells delivery phase demonstrated a 75% microinjection success rate. In addition, implantation of the successfully injected blastocysts resulted in a 53% birth rate and a 20% yield of chimeras. These results proved that the developed system was capable of automatic blastocyst penetration and retraction, demonstrating the success of major steps toward full process automation.
Entwicklung eines Systems zur automatischen Musikempfehlung im Kontext des Audio Brandings

In den vergangenen Jahren hat der systematische Einsatz von Audio Branding, d.h. Maßnahmen akustischer Markenführung, zunehmend an Bedeutsamkeit gewonnen [1]. Neben Konzeption, Design und Entwicklung von Audio Logos [2] geht es dabei unter anderem auch um MusicBranding-Strategien [3] – die systematische Verwendung von Musikstücken zur Kommunikation einer Markenidentität an die avisierten Zielgruppen, beispielsweise für die akustische Gestaltung des Point-of-Sale [4]. Nachdem bislang zur Musikselektion in diesen Szenarien vor allem auf die praktische Expertise von Audio-BrandingExperten zurückgegriffen wurde, werden inzwischen bereits erste Softwaretools entwickelt (z.B. Brand Music Navigator; [5]), welche Empfehlungsalgorithmen zur Auswahl geeigneter Titel aus vorhandenen digitalen Musikarchiven verwenden. Im Gegensatz zu herkömmlichen digitalen Musikempfehlungsdiensten, wie sie heute in Webradios und Musikstreaming-Diensten eingesetzt werden [6], zielen solche B2B-Musikempfehlungen jedoch nicht auf eine möglichst hohe Passung mit den Musikpräferenzen der Konsumenten ab, sondern auf die erfolgreiche Kommunikation der Markenidentität mittels musikalischer Hinweisreize wie Genre, Rhythmus oder Harmonik, etc.
The role of anticipatory postural adjustments during whole body forward reaching movements

THE purpose of this study was to examine the role of anticipatory postural adjustments (APAs) in the execution of forward oriented whole body reaching movements. From the standing position, eight healthy subjects were asked to reach an object placed at 45 cm from the feet, at both naturally paced and fast speeds. Electromyographic signals of six antagonistic muscles were analysed in conjunction with centre of mass (CM) displacements, centre of foot pressure displacements and resultant ground reaction forces. Results revealed that APAs created necessary angular momentum of body segments for effective task execution. These results suggest that APAs can initiate movements conducted from a fixed base of support, and in this context do not act solely to stabilize the CM.
Driver Alert System for Accident Avoidance

Road accidents have become the major issue during these days. Accidents not only bring loss to life and property but also for our economy. Modern technologies like digital image processing, ECG (Electrocardiogram), EEG (Electroencephalogram) etc. can help us to prevent or avoid the accidents. Much remarkable work has been done on the driver alert system. The paper provides a review of work that has been done in this field.
High School Internships: Utilizing a Community Cultural Wealth Framework to Support Career Preparation and College-Going Among Low-Income Students of Color

ABSTRACT This article investigates the experience of 229 low-income students of color who participated in an innovative high school internship program between 2011 and 2015. Using mixed methods (interviews, observations, and survey), the authors aim to understand the types of knowledge, information, and supports these students develop and expand in relation to careers and the college-going process. The authors draw on students' community cultural wealth to highlight the way the internship program supports students' aspirational, navigational, linguistic, resistant, and social capital.
Predictors of Reasoning Ability: Working Memory Capacity and Fuzzy Processing Preference Index

PREDICTORS OF REASONING ABILITY: WORKING MEMORY CAPACITY AND FUZZY PROCESSING PREFERENCE INDEX by Audrey Margaret Weil Working memory capacity and fuzzy processing preference are two constructs that predict reasoning ability. To date, no studies have examined the relationship between these two constructs. This study aimed to test fuzzy-trace theory’s prediction of a gist processing preference in light of working memory capacity, and measure the extent to which these two constructs interact to affect reasoning ability. I assessed this relationship using an individual differences measure and a dual-task paradigm. Reasoning ability was examined in the context of base rate neglect and conjunction fallacies. Most participants preferred to reason with gist. Working memory capacity and fuzzy processing preference were independent of each other, but did not interact to produce sound reasoning. Surprisingly, fuzzy processing preference did not predict reasoning ability, and for base rate questions, predicted higher errors. However, there is evidence that data may have been confounded by various issues, leading to counterintuitive findings. PREDICTORS OF REASONING ABILITY: WORKING MEMORY CAPACITY AND FUZZY PROCESSING PREFERENCE
TPS-SURF-SAC Based Matching of Feature Points in Nonrigid Deformed Tissues : Applied to Abdomen MR Images

Due to the nonlinear deformation of the nonrigid and nonuniform biological tissues, it is difficult whereas important to correctly match a number of feature points distributed somewhat uniform in the tissues from MR images for deformation measurement. In this paper, the authors present TPS-SURF-SAC matching method and mismatching elimination method based on TPS clustering. Firstly the matching region is identified by a TPS for every query point. Then the SURF descriptors and the proposed Spatial Association Correspondence (SAC) method are combined to match the feature points. Finally, using clustering the coordinate differences between the matching points obtained using TPS-SURF-SAC method and the matching points matched by TPS model, most of wrong match points are eliminated. After every iterative processing of matching and mismatching elimination, the updated TPS model becomes more accurate and more correctly matched points can be identified than that of the previous iteration. The experimental results showed that the proposed method outperformed the single SURF and SIFT methods.
Security of Hard Disk Encryption

Encryption is the art of preserving confidentiality of digital information. It is considered to be one of the most ideal solutions for providing data confidentiality and safety of computer hard disk. Many disk encryption software are commercially available with a variety of features. But how much effective security is provided by those software is the ultimate question. Encryption algorithms used by those software are vulnerable to known cryptanalysis. Design and implementation weaknesses critically leave backdoors inside those software themselves. Easy and smart methods are used to defeat the software's security either by manipulating external hardware or by exploiting user unawareness. This thesis evaluates the potential vulnerabilities of commercial hard disk encryption software that are claimed to provide absolute security of hard disk content.