Miracle-dz/UniFAR-FTUs huggingface dataset:
Danish Hip Arthroscopy Registry: an epidemiologic and perioperative description of the first 2000 procedures

Danish Hip Arthroscopy Registry (DHAR) was initiated in 2012 as a web-based prospective registry. The purpose of this study was to evaluate and report the epidemiologic and perioperative data of the first 2000 procedures in a Danish hip arthroscopy population and to describe the development of DHAR. We describe the use of various Patient Related Outcome Measures related to non-arthritic hip patients. The 2000 procedures consisted of 56% females and 44% males. Mean age 37.5 years, mean surgical time was 86.5 min and mean traction time 50.5 min. The most frequently performed procedure was CAM and Pincer resection in 93.5% of the cases. Labral refixation or repair was done in 70.3% of the cases. The most common type of acetabular chondral damage was grade II lesions (36.6%). Grade III and IV changes were seen in 36.1% of the cases. The preoperative iHOT12 was 45 (mean) based on all 12 items. EQ-5D was 0.65 and HAGOS sub-scores were 51 (pain), 49 (symptoms), 53 (ADL), 35 (sport), 20 (physical activity) and 29, respectively. We conclude that patients undergoing hip arthroscopy report considerable pain, loss of function, reduced level of activity and reduced quality-of-life prior to surgery. The problems with development and maintaining a large clinical registry are described and further studies are needed to validate data completeness. We consider the development of a national clinical registry for hip arthroscopy as a successful way of developing and maintaining a valuable clinical and scientific tool.
Informational Lesions: Optical Perturbation of Spike Timing and Neural Synchrony Via Microbial Opsin Gene Fusions

Synchronous neural activity occurs throughout the brain in association with normal and pathological brain functions. Despite theoretical work exploring how such neural coordination might facilitate neural computation and be corrupted in disease states, it has proven difficult to test experimentally the causal role of synchrony in such phenomena. Attempts to manipulate neural synchrony often alter other features of neural activity such as firing rate. Here we evaluate a single gene which encodes for the blue-light gated cation channel channelrhodopsin-2 and the yellow-light driven chloride pump halorhodopsin from Natronobacterium pharaonis, linked by a ‘self-cleaving’ 2A peptide. This fusion enables proportional expression of both opsins, sensitizing neurons to being bi-directionally controlled with blue and yellow light, facilitating proportional optical spike insertion and deletion upon delivery of trains of precisely-timed blue and yellow light pulses. Such approaches may enable more detailed explorations of the causal role of specific features of the neural code.
A Speech Interface for Open-Domain Question-Answering

Speech interfaces to question-answering systems offer significant potential for finding information with phones and mobile networked devices. We describe a demonstration of spoken question answering using a commercial dictation engine whose language models we have customized to questions, a Web-based text-prediction interface allowing quick correction of errors, and an open-domain question-answering system, AnswerBus, which is freely available on the Web. We describe a small evaluation of the effect of recognition errors on the precision of the answers returned and make some concrete recommendations for modifying a question-answering system for improving robustness to spoken input.
Do Islamic Fintech Leadership and Technology Adoption Predict Sustainable Entrepreneurship Values among Fintech Organizations?

The primary objectives of this paper are to examine if Islamic Fintech leadership (IFL) and technology adoption (TA) can predict Sustainable Entrepreneurship Values (SEV) among Malaysian Fintech organizations. A survey was self-administered to 294 organisations involved in payment, e-wallet, prop-tech, digital bank, blockchain, cryptocurrency, remittance, AI/data, marketplace, crowdfunding, insurtech, wealthtech, Know Your Customer (KYC), and reg-tech services offerings. Partial Least Square Structural Equation Modelling is used to analyze 121 responses. The results show that IFL has a positive and significant relationship with SEV. TA, however, does not moderate the relationship between IFL and SEV. This paper contributed to developing the extended Technology Acceptance Model and Resource-Based Theory. The SEV model explains the leadership concern for socio-economy, environment, and values by creating a game changer for Islamic digital transformation that enables micro and small enterprises to access faster socio-economic well-being and financial health.
Corrigendum to "A comparative analysis of Pancoast tumour resection performed via video-assisted thoracic surgery versus standard open approaches" [Interact CardioVasc Thorac Surg 2014;19(3):426-435].

Following concerns raised, and at the request of the editorin-chief, the authors would like to shed light on the origin and number of patients treated by the first author. Of the 18 patients reported as having been treated at the Istituto Oncologico del Mediterraneo (IOM), 13 patients had already been included in a previous study [1]. These 13 patients were treated between March 2004 and November 2009 in three different Italian tertiary referral centres [1], where Francesco Paolo Caronia worked as a Consultant. These three centres are: Ismett, Palermo; La Maddalena, Palermo; and Policlinico Morgagni, Catania. The 5 new patients included in the above article were operated at Policlinico Morgagni between December 2009 and November 2012. None of the 18 patients were surgically treated or followed up at the IOM because the study reports on patients treated between 2000 and 2012 and the first author, Francesco Paolo Caronia, was employed at IOM from January 2014. The name of the institution was changed while the article was still under review, without this being brought to the attention of the reviewers or editors of this journal. Nevertheless, all 18 patients were treated by the same surgeon (Francesco Paolo Caronia). Finally, the authors refer to the induction therapy protocol proposed in 2007 by the Southwest Oncology group but this protocol was already in use years before [2].
Compliant substrate epitaxy: Au on MoS 2

The epitaxial growth of {111} oriented Au on MoS$_2$ is well documented despite the large lattice mismatch (~8% biaxial strain), and the fact that a Au {001} orientation results in much less elastic strain. An analysis based on density functional and linear elasticity theories reveals that the {111} orientation is stabilized by a combination of favorable surface and interfacial contributions to the energy, and the compliance of the first layer of the MoS$_2$.
TOP500 supercomputer

Now in its 14th year, the TOP500 list of supercomputers serves as a "Who's Who" in the field of High Performance Computing (HPC). The TOP500 list was started in 1993 as a project to compile a list of the most powerful supercomputers in the world. It has evolved from a simple ranking system to a major source of information to analyze trends in HPC. The 28th TOP500 list will be published in November 2006 just in time for SC06.This BoF will present detailed analyses of the TOP500 and discuss the changes in the HPC marketplace during the past years. This includes the presentation of a new metric to track power consumption and updates on various benchmark initiatives such as the HPC Challenge benchmarks and the APEX-Map project. The BoF is meant as an open forum for discussion and feedback between the TOP500 authors and the user community.
The App Sampling Problem for App Store Mining

Many papers on App Store Mining are susceptible to the App Sampling Problem, which exists when only a subset of apps are studied, resulting in potential sampling bias. We introduce the App Sampling Problem, and study its effects on sets of user review data. We investigate the effects of sampling bias, and techniques for its amelioration in App Store Mining and Analysis, where sampling bias is often unavoidable. We mine 106,891 requests from 2,729,103 user reviews and investigate the properties of apps and reviews from 3 different partitions: the sets with fully complete review data, partially complete review data, and no review data at all. We find that app metrics such as price, rating, and download rank are significantly different between the three completeness levels. We show that correlation analysis can find trends in the data that prevail across the partitions, offering one possible approach to App Store Analysis in the presence of sampling bias.
Building General Hyper-Heuristics for Multi-Objective Cutting Stock Problems

In this article we build multi-objective hyper- heuristics (MOHHs) using the multi-objective evolutionary algorithm NSGA-II for solving irregular 2D cutting stock problems under a bi-objective minimization schema, having a trade-off between the number of sheets used to fit a finite number of pieces and the time required to perform the placement of these pieces. We solve this problem using a multi- objective variation of hyper-heuristics called MOHH, whose main idea consists of finding a set of simple heuristics which can be combined to find a general solution, where a single heuristic is applied depending on the current condition of the problem instead of applying a unique single heuristic during the whole placement process. MOHHs are built after going through a learning process using the NSGA-II, which evolves combinations of condition-action rules producing at the end a set of Pareto-optimal MOHHs. We test the approximated MOHHs on several sets of benchmark problems and present the results.
MicroRNA gene expression signatures in the developing neural tube.

BACKGROUND Neurulation requires precise, spatio-temporal expression of numerous genes and coordinated interaction of signal transduction and gene regulatory networks, disruption of which may contribute to the etiology of neural tube defects (NTDs). MicroRNAs (miRNAs) are key modulators of cell and tissue differentiation. To define potential roles of miRNAs in development of the murine neural tube (NT), miRNA microarray analysis was conducted to establish expression profiles, and identify miRNA target genes and functional gene networks. METHODS The miRNA expression profiles in murine embryonic NTs derived from gestational days 8.5, 9.0, and 9.5 were defined and compared utilizing miRXplore microarrays from Miltenyi Biotec GmbH, Bergisch Gladbach, Germany. Gene expression changes were verified by TaqMan quantitative Real-Time PCR. The clValid R package and the UPGMA (hierarchical) clustering method were utilized for cluster analysis of the microarray data. Functional associations among selected miRNAs were examined via Ingenuity Pathway Analysis. RESULTS The miRXplore chips enabled examination of 609 murine miRNAs. Expression of approximately 12% of these was detected in murine embryonic NTs. Clustering analysis revealed several developmentally regulated expression clusters among these expressed genes. Target analysis of differentially expressed miRNAs enabled identification of numerous target genes associated with cellular processes essential for normal NT development. Utilization of Ingenuity Pathway Analysis revealed interactive biologic networks which connected differentially expressed miRNAs with their target genes, and highlighted functional relationships. CONCLUSIONS The present study defined unique gene expression signatures of a range of miRNAs in the developing NT during the critical period of NT morphogenesis. Analysis of miRNA target genes and gene interaction pathways revealed that specific miRNAs might direct expression of numerous genes encoding proteins, which have been shown to be indispensable for normal neurulation. This study is the first to identify miRNA expression profiles and their potential regulatory networks in the developing mammalian NT.
Distributed Binary Detection With Lossy Data Compression

Consider the problem where a statistician in a two-node system receives rate-limited information from a transmitter about marginal observations of a memoryless process generated from two possible distributions. Using its own observations, this receiver is required to first identify the legitimacy of its sender by declaring the joint distribution of the process, and then depending on such authentication, it generates adequate reconstruction of the observations, satisfying an average per-letter distortion. The performance of this setup is investigated through the corresponding rate-error-distortion region, describing the tradeoff between: the communication rate, the error exponent induced by the detection, and the distortion incurred by the source reconstruction. In the special case of testing against independence, where the alternative hypothesis implies that the sources are independent, the optimal rate-error-distortion region is characterized. An application example to binary symmetric sources is given subsequently and the explicit expression for the rate-error-distortion region is provided as well. The case of “general hypotheses” is also investigated. A new achievable rate-error-distortion region is derived based on the use of non-asymptotic binning, improving the quality of communicated descriptions. Further improvement of performance in the general case is shown to be possible when the requirement of source reconstruction is relaxed, which stands in contrast to the case of general hypotheses.
TOF-CCD image fusion using complex wavelets

A new generation of ToF cameras are practical devices capable of real-time 3D scene reconstruction. They are mainly limited by two factors; accuracy and low spatial resolution. Standard CCD and ToF images of a scene share likenesses in some regions, e.g., object edges are apparent as gradients in both modals. Here we propose an approach to overcome the resolution limitation; using an effective dual-tree complex wavelet transform framework in a calibrated setup to fuse the low resolution TOF image with the high resolution details of the CCD image. We show how this can enhance features such as at object borders.
UAV Track Planning Based on Improved Marine Predator Algorithm

Aiming at the optimization problem in the field of automatic control of unmanned aerial vehicles (UAVs) for track planning, this paper proposes an optimization method of UAV track planning based on improved Marine predator algorithm, adopts uniform distribution space and pseudo-reverse learning strategy to improve population initialization, and uses T distribution as disturbance factor to update position. The objective function of the improved Marine predator algorithm considering the cost of track length, terrain and flight height is established, and the simulation test is carried out on MATLAB software. The simulation results show that an optimal path to avoid obstacles and threat areas can be obtained with particle swarm optimization and snake optimization, indicating that this method has stronger robustness and feasibility in UAV path planning.
Validation and Application of a PCR Primer Set to Quantify Fungal Communities in the Soil Environment by Real-Time Quantitative PCR

Fungi constitute an important group in soil biological diversity and functioning. However, characterization and knowledge of fungal communities is hampered because few primer sets are available to quantify fungal abundance by real-time quantitative PCR (real-time Q-PCR). The aim in this study was to quantify fungal abundance in soils by incorporating, into a real-time Q-PCR using the SYBRGreen® method, a primer set already used to study the genetic structure of soil fungal communities. To satisfy the real-time Q-PCR requirements to enhance the accuracy and reproducibility of the detection technique, this study focused on the 18S rRNA gene conserved regions. These regions are little affected by length polymorphism and may provide sufficiently small targets, a crucial criterion for enhancing accuracy and reproducibility of the detection technique. An in silico analysis of 33 primer sets targeting the 18S rRNA gene was performed to select the primer set with the best potential for real-time Q-PCR: short amplicon length; good fungal specificity and coverage. The best consensus between specificity, coverage and amplicon length among the 33 sets tested was the primer set FR1 / FF390. This in silico analysis of the specificity of FR1 / FF390 also provided additional information to the previously published analysis on this primer set. The specificity of the primer set FR1 / FF390 for Fungi was validated in vitro by cloning - sequencing the amplicons obtained from a real time Q-PCR assay performed on five independent soil samples. This assay was also used to evaluate the sensitivity and reproducibility of the method. Finally, fungal abundance in samples from 24 soils with contrasting physico-chemical and environmental characteristics was examined and ranked to determine the importance of soil texture, organic carbon content, C∶N ratio and land use in determining fungal abundance in soils.
EXPLICIT BOUNDS FOR APPROXIMATION RATES OF BOUNDARY CROSSING PROBABILITIES FOR THE WIENER PROCESS

We give explicit upper bounds for convergence rates when approximating both one- and two-sided general curvilinear boundary crossing probabilities for the Wiener process by similar probabilities for close boundaries of simpler form, for which computation of the boundary crossing probabilities is feasible. In particular, we partially generalize and improve results obtained by Potzelberger and Wang in the case when the approximating boundaries are piecewise linear. Applications to barrier option pricing are also discussed.
Quench Analysis of MICE Spectrometer Superconducting Solenoid

MICE superconducting spectrometer solenoids fabrication and tests are in progress now. First tests of the Spectrometer Solenoid discovered some issues which could be related to the chosen passive quench protection system. Both solenoids do not have heaters and quench propagation relied on the “quench back” effect, cold diodes, and shunt resistors. The solenoids have very large inductances and stored energy which is 100% dissipated in the cold mass during a quench. This makes their protection a challenging task. The paper presents the quench analysis of these solenoids based on 3D FEA solution of coupled transient electromagnetic and thermal problems. The simulations used the Vector Fields QUENCH code. It is shown that in some quench scenarios, the quench propagation is relatively slow and some areas can be overheated. We describe ways of improving the solenoids' quench protection in order to reduce the risk of possible failure.
H-CURVE: A Simple Visualizing Method of Source Code

It is a difficult and time-consuming task to understand the source code of a complex program, even for programming experts. Software metrics or software visualization is being used for analyzing the structure of a program. Software metrics provides a way to calculate the complexity of a source code in a numeric value. And, software visualization displays the structure of a program to a geometrical diagram. However, in order to understand the results of these methods, the user should be acquainted with basic knowledge of software engineering. This paper suggests a simple visualization method which is based on Hilbert curve, a well-known fractal filling a square. The visualization result can be presented in different levels of details with the control flow of a program. Further, we suggested a method to measure the complexity of the visualization result. According to the experimental results, the correlation between the complexity of the H-CURVE diagram and the execution time of programs is in a meaningful range.
Defective T Cell Development and Function in the Absence of Abelson Kinases1

Thymocyte proliferation, survival, and differentiation are tightly controlled by signaling from the pre-TCR. In this study, we show for the first time that the Abelson (Abl) kinases regulate proximal signaling downstream of the pre-TCR. Conditional deletion of Abl kinases in thymocytes reveals a cell-autonomous role for these proteins in T cell development. The conditional knockout mice have reduced numbers of thymocytes, exhibit an increase in the percentage of the CD4−CD8− double-negative population, and are partially blocked in the transition to the CD4+CD8+ double-positive stage. Moreover, the total number of T cells is greatly reduced in the Abl mutant mice, and the null T cells exhibit impaired TCR-induced signaling, proliferation, and cytokine production. Notably, Abl mutant mice are compromised in their ability to produce IFN-positive CD8 T cells and exhibit impaired CD8+ T cell expansion in vivo upon Listeria monocytogenes infection. Furthermore, Ab production in response to T cell-dependent Ag is severely impaired in the Abl mutant mice. Together these findings reveal cell-autonomous roles for the Abl family kinases in both T cell development and mature T cell function, and show that loss of these kinases specifically in T cells results in compromised immunity.
Studies on Enhancing the Shelf Life of Raw Milk Using Herbal Extracts

A study was conducted to assess the efficacy of betel leaf extract in extending the shelf life of raw milk. Raw milk collected hygienically from an organized dairy farm was assessed by addition of aqueous extracts of betel leaves at different concentrations viz., 0.25, 0.5, 0.75 and 1 per cent and studied for physico-chemical parameters at regular intervals at 37 °C. It was found that addition of aqueous extract of betel leaves extracts at 0.5 per cent (v/v) extended the shelf life of raw milk by 5 hours by clot on boiling test. There was a controlled increase in titratable acidity in the milk samples added with 0.5%, 0.75% and 1% level of betel leaves extract. The Statistical analysis of data revealed that acidity, standard plate count of the aqueous extract of betel leaves treated raw milk showed highly significant difference (P ≤0.01) between treatments from 2 nd hour of storage period and within the treatments at different hours of storage. of food. The mode of action of natural preservatives is inhibition of microbial growth, oxidation and certain enzymatic reactions occurring in milk. Phenols and polyphenols are water soluble compounds which can be easily mixed with milk. The use of plant extracts as a source of phenols is preferred as a natural method (Gad and Salam, 2010). The present study was carried out to study use of betel leaf extract to extend the shelf life of raw milk.
Analyzing the Development of Political Rights and Civil Liberties in Albania during the Country’s Democratic Transition: A Comparative Assessment from Freedom House Report Data

A nation's ability to develop directly correlates with the preservation of citizens' political rights and civil liberties. These elements are vital for national growth and development. The level of respect for these rights and liberties must, therefore, be examined to understand and assist in the progress of a nation. A primary source of analysis for this study is Freedom House reports, with a focus on two essential components of democracy: political rights and civil liberties. The study focuses on investigating democratization from the start of political reforms in Albania following the collapse of the communist system to this present day. These parameters are further divided into subgroups to provide more detailed analysis. By using the Freedom House index, the study aims to determine whether democratic characteristics in Albania have remained constant or undergone changes. The analysis incorporates developments in these dimensions during the transition, focusing specifically on minority groups, such as voting patterns, political pluralism, freedom of expression and associations, etc. Moreover, the study examines specific areas of concern in Albanian society, including corruption, the rule of law, and other important areas. Received: 19 February 2024 / Accepted: 15 March 2024 / Published: 23 March 2024