Miracle-dz/UniFAR-FTUs huggingface dataset:
Revision total hip arthroplasty using a fluted, tapered, modular stem follow-up method for a mean of three years: A preliminary study

Objective: This study aimed to evaluate the results and complications related to revision total hip arthroplasty within a short-to-medium follow up period. Methods: From January 2016 to January 2020, we reviewed 31 prosthetic hip arthroplasty stem revisions using a fluted, tapered modular stem with distal fixation. The median age of the patients was 74.55–79 years. The survival rate was 100%, and there were no re-revisions. The Harris hip score improved from an average of 36.5 ± 7.8 before surgery to 81.8 ± 6.2 at the final follow-up. Results: The average final follow-up was 36 (24–60) months. During this time, there was no periprosthetic infection, no prosthesis loosening or breakage, and no sciatic nerve injury. Complications included four (12.9%) intraoperative fractures and eight (25.8%) dislocations that had no stem fractures. The postoperative limb was lengthened by 17.8 ± 9.8 mm. In most cases, bone regeneration was an early and important finding. Three cases underwent extended trochanteric osteotomy, and bone healing was achieved by the final follow-up. Conclusion: The modular tapered stem reviewed in this study was very versatile, could be used in most femoral revision cases, and allowed for rapid bone reconstruction. However, a long-term follow-up study is needed to confirm these results.
Theoretical study of some graphene-Like nanoparticles as the anodes in K−ion Batteries

In this research, density functional theory (DFT) calculations were carried out for investigating the adsorption of the K atom and ion on the surface of three sheet-like nanoparticles, namely nanosheet, corannulene (CRN) and sumanene (SMN). Density of states (DOS) diagrams, geometry optimizations and total energies were all studied using the M06−2X level of theory with the basis set 6−31+G (d, p). The Ead for SMN-i was found to be more negative, which increased in the following order: SMN-i > nano-sheet > CRN-i > CRN > SMN. The main goal of this work was to compute the cell voltage (Vcell) for K−ion batteries (KIBs). Here, the Vcell for SMN was the highest value, which increased in the following order: SMN > CRN > nano-sheet > SMN-i > CRN-i. The current study provided a theoretical description and promising candidate of the above mentioned nano-structures as anode materials in KIBs ion batteries.
Design of a high-speed and low-noise preamplifier for SiPM

In the R&D for upgrading the K 0L and µ detector (KLM) in Belle II experiment using scintillator and silicon photomultiplier (SiPM), we design a compact preamplifier with high-speed and low-noise. The preamplifier has a good gain stability, a baseline noise level of σ ≈ 0 . 3 mV , a good time resolution that can achieve < 20 ps , and can be applied comprehensively to SiPMs. To reduce the pile-up in using a large size SiPM or an array of SiPMs, which is due to the large capacitance and high dark count rate, we adopt pole-zero-cancellation which reduce both the rise time and the fall time of a SiPM signal. The combinations of the preamplifier and several kinds of SiPMs show time resolutions better than 50 ps for most of the cases; when the number of detected photons is larger than 60, a time resolution of about 25 ps can be achieved.
Recognition of dense cherry tomatoes based on improved YOLOv4-LITE lightweight neural network

: Small and hidden conditions of dense cherry tomatoes have posed a great challenge to the rapid identification and positioning of fruits. New key technology with strong robustness is highly demanding to improve the efficiency and yield prediction of cherry tomatoes in the facility agriculture environment. In this study, a novel recognition method was proposed to locate the dense cherry tomatoes using an improved YOLOv4-LITE lightweight neutral network. A mobile Net-v3 easy migration to mobile terminals was selected as the feature extraction network of the model to construct a YOLOv4-LITE for a higher detection speed of cherry tomatoes. A feature pyramid network was set as the modified (FPN) + Path Aggregation Network (PANet) structure, in order to avoid replacing the backbone network to reduce the detection accuracy. Specifically, a 104×104 Future map was introduced to achieve fine-grained detection for the small targets. More importantly, a deep separable convolution was used in the PANet structure to reduce the number of model calculations. The new network was more lightweight, where the generalization ability of the model was improved by loading pre-training weights and freezing partial layer training. A comparison was made on the recognition effect of YOLOv4, F1, and AP on the test set with the same degree of
9. Capturing Visual Image Properties with Probabilistic Models

The set of all possible visual images is enormous, but not all of these are equally likely to be encountered by your eye or a camera. This nonuniform distribution over the image space is believed to be exploited by biological visual systems, and can be used to advantage in most applications in image processing and machine vision. For example, loosely speaking, when one observes a visual image that has been corrupted by some sort of noise, the process of estimating the original source image may be viewed as one of looking for the highestprobability image that is “close to” the noisy observation. Image compression amounts to using a larger proportion of the available bits to encode those regions of the image space that are more likely. And problems such as resolution enhancement or image synthesis involve selecting (sampling) a high-probability image, subject to some set of constraints. Specific examples of these applications can be found in many chapters throughout this book.
THE CAPACITY OF C5 AND FREE SETS IN C2

In a recent paper, S. K. Stein examined the problem of determining the cardinality, t(C*), of the largest subset S of the direct product C? of k copies of Cm such that distinct sums of elements of S yield distinct elements of C*. In this paper we show that t*(C5) = limt_,0O(T(C*)//c) = 2, answering a question raised by Stein. We also produce an infinite set of m's such that t(C^) > 2(log2 m). Introduction. In (3), S. K. Stein examined from an algebraic standpoint a problem in information theory raised by Shannon (2) in 1956. Stein says that a subset {bx, . , br) of a group G is free if 2 e,b, = 0, e, = 0, ±1 implies e, = 0 for all i. The number of elements, t(G), in the largest free set in G, is also clearly equal to the cardinality of the largest subset 5 of G such that distinct sums of elements of S yield distinct elements of G. In (3), the free capacity of Cm, r*(Cm) is defined to be lim^^, T(C£)/k, where Cm is a cyclic group of order m. In this paper we show that t*(C5) = 2 and compute r(C2) for certain values of m.
The Unexamined Influence: An Object’s Perceived Gender on Spatial Reasoning Skills in Girls

: Explanations for gender differences in spatial visualization and mental rotation typically center on lack of experience or cognitive deficits of females. Our research offers an alternative explanation for these differences–one rooted in the materials used for mental rotation tasks, informed by sociocultural approaches and posthumanist perspectives. Combining a gender sorting task and a mental rotation assessment, this study shows that students–regardless of gender–perceive consistent gender differences of everyday objects. Their ability to mentally rotate each object is related to their gender and the objects’ perceived gender. Females perform significantly higher on mental rotation tasks that involve objects that are perceived as feminine, matching scores of males. Yet, the stereotypical mental rotation differences between females and males are seen only on objects perceived as neither feminine nor masculine. The perceived gender of materials included in educational design may shape mental rotation ability.
DATA RECOGNITION IN DOCUMENTS AND CLASSIFICATION ALGORITHM

: The article considers the actual problem of data recognition in documents and their classification using the "Core Vocabulary", which corresponds to the common data model for describing public service. For solving the issue an algorithm is developed that allows to recognize data in documents and classify it, which is very important while transferring from a document-oriented public services model to a data-oriented model. The algorithm is the basis of the algorithmic software of “Information system for data recognition and classification”. An illustrative example is present.
Effect of entrepreneurial orientation on performance of Commercial Banks in Kenya.

viii CHAPTER ONE : INTRODUCTION . 1 1.1 Background . 1 1.2 ResearchProblem . 5 1.3 Objective of the Study . 7 1.4 Value of the Study . 8 CHAPTER TWO: LITERATURE REVIEW . 9 2.
Relation Identification Using Dialogical Features in Multi-Party Conversation

To grasp the content of a discussion in meetings, a summary is important for people who could not attend the discussion. If the summary is illustrated as a discussion structure, it is helpful to grasp the essentials of the discussion immediately. In this paper, we construct models that predict a link between nodes that consist of some utterances in multi-party conversation. Various neural network models have been proposed for many tasks. However, those neural network models can usually capture only the linguistic feature. On the other hand, dialogical features are useful for models to predict a link between nodes. First, we explain the features that we design for the task. Next, we report the result in which we compared a machine learning method using the proposed feature with one without them. The result shows that time information and distance between nodes were effective.
Implementasi Augmented Reality (AR) sebagai Sarana Media Pembelajaran Interaktif Algoritma Pemrograman Augmented Reality (AR) Implementation as a Means of Interactive Learning Media Programming Algorithm

Programming Algorithm is one of the basic skill courses that must be taken by informatics engineering students in semester 1. Problems always arise for students to understand the material. Of the 30 students in one class who can understand only 50%. Many factors cause, among others, the educational background of students from different majors and have never learned about an abstract algorithm program. Therefore, the author wants to build a visual algorithm learning method. Augmented Reality (AR) is a technology that can collaborate by connecting 2 or 3 dimensional virtual objects into the real world that can be raised and developed simultaneously (realtime). AR technology is very helpful in transforming obscure (abstract) shapes into easily accessible shapes. While the method in building AR uses Marker Based Tracking (MBT). by using the FAST (Feature from Accelerated Segment Test) Corder Detection approach. The purpose of this research is to apply AR technology as a learning medium that can help explain the material visually and easily understood by students. The final result after implementing AR, students' understanding level rose to 80%. So AR technology is very helpful in the interactive learning process.
Assessing the Service Quality of Public Transport Service: A Case of S-5 route in Kathmandu Valley

Public Transport is a shared passenger transport service available for use by anyone who pays set fares, operates on ﬁxed routes and may include modes such as tempos, mini/micro buses, trolley buses, trams, trains. Besides reducing congestion and air pollution by providing transportation services to a large number of people, high capacity public transport system may also inﬂuence the urban form and quality of life in cities. The main objective of this research is to access the service quality of public transport services of S-5 route and recommend possible measures to improve public transport service quality. The ﬁndings of this paper can help in better understanding of the parameters inﬂuencing service quality. Questionnaire survey was conducted and 107 passengers were interviewed regarding their perception on public transport service. The indicators used to measure service quality of public transport service were Service reliability, comfort, security, safety, cleanliness, waiting time, walking time, peak hour frequency, off-peak hour frequency, route change, fare, staff behavior, Driver’s recklessness, information and feedback. It was analyzed using likert’s scale from 1-5 rating. The overall service quality of public transport service is found to be 3.14 which indicates good service quality. Data analysis showed peak hour service frequency and service reliability were of poor service quality while cleanliness, information, waiting time were of average service quality. So these aspects of public transport service should be reviewed and improved to improve the service quality of public transport in S-5 route in Kathmandu valley.
Use of Magnesium Ferrite as Catalyst in Cannizaro Reaction

Magnesium ferrite was used to catalyse the cannizaro reaction of benzaldehyde in the presence of potassium hydroxide. Magnesium ferrite was prepared by hydrothermal process. Similarly Copper, nickel, cobalt, zinc etc. were prepared by same method. It was characterized by Field Emission Scanning Electron Microscopy (FESEM), X-Ray Diffraction Spectroscopy (XRD), and Energy Dispersive X-Ray Spectroscopy (EDX). The crystalline size of magnesium ferrite was found to have 82.47 nm. These magnesium ferrites are nano-flowers in shape. It was found that the yield of the product (benzoic acid) in the presence of Mg ferrite was 49% which is almost 3.4 times the yield obtained in the absence of catalyst. Other metal ferrites were also used as a catalyst but we get higher yield with magnesium ferrite. A comparitive study was made with different metal ferrites as catalyst and found that the activity of metal ferrites followed the order-MgFe
Neural Implicit Shape Editing using Boundary Sensitivity

Neural fields are receiving increased attention as a geometric representation due to their ability to compactly store detailed and smooth shapes and easily undergo topological changes. Compared to classic geometry representations, however, neural representations do not allow the user to exert intuitive control over the shape. Motivated by this, we leverage boundary sensitivity to express how perturbations in parameters move the shape boundary. This allows to interpret the effect of each learnable parameter and study achievable deformations. With this, we perform geometric editing: finding a parameter update that best approximates a globally prescribed deformation. Prescribing the deformation only locally allows the rest of the shape to change according to some prior, such as semantics or deformation rigidity. Our method is agnostic to the model its training and updates the NN in-place. Furthermore, we show how boundary sensitivity helps to optimize and constrain objectives (such as surface area and volume), which are difficult to compute without first converting to another representation, such as a mesh.
Reactive Synthesis of Dominant Strategies

We study the synthesis under environment specifications problem for LTL/LTLf which, in particular, generalizes FOND (strong) planning with these temporal goals. We consider the case where the agent cannot enforce its goal --- for which the argument for using best-effort strategies has been made --- and study the intermediate ground, between enforcing and best-effort strategies, of dominant strategies. Intuitively, such strategies achieve the goal against any environment for which it is achievable. We show that dominant strategies may exist when enforcing ones do not, while still sharing with the latter many desirable properties such as being interchangeable with each other, and being monotone with respect to tightening of environment specifications. We give necessary and sufficient conditions for the existence of dominant strategies, and show that deciding if they exist is 2EXPTIME-complete --- the same as for enforcing strategies. Finally, we give a uniform, optimal, game-theoretic algorithm for simultaneously solving the three synthesis problems of enforcing, dominant, and best-effort strategies.
Statistical Error Analysis of HTL Algorithm via LTO and RO Stability Hypothesis

There are abundant parameters to estimate if training and testing samples are drawn from the different probability distribution in supervised machine learning algorithm setting. Hypothesis transfer learning is a trick to get over this limitation in practical engineering, and the source hypotheses trained on a source domain can only be utilized. In this paper, we define the LTO and RO stability hypothesis for hypothesis transfer learning algorithm, and the statistical error is bounded in terms of these stability hypotheses.
Differential geometry

This chapter presents some elements of differential geometry, the ‘vector’ version of Euclidean geometry in curvilinear coordinates. In doing so, it provides an intrinsic definition of the covariant derivative and establishes a relation between the moving frames attached to a trajectory introduced in Chapter 2 and the moving frames of Cartan associated with curvilinear coordinates. It illustrates a differential framework based on formulas drawn from Chapter 2, before discussing cotangent spaces and differential forms. The chapter then turns to the metric tensor, triads, and frame fields as well as vector fields, form fields, and tensor fields. Finally, it performs some vector calculus.
Quantifying the impact of proximity error correction on plasmonic metasurfaces [Invited]

Plasmonic metasurfaces are often limited in their application by poor device performance, which is caused - in part - by deviations between fabricated devices and the ideal design. We show in this letter that these deviations are reduced significantly by shape-correction, intra-structure proximity error correction. We show experimentally that the fabrication fidelity alone is not a good indicator of the device quality and that direct measurements of the optical performance are necessary. Our fabrication improvements result in increased optical performance, reaching a measurement fidelity as high as 90%.
The Effect of Botulinum Toxin Injection in Cleft Lip Repair

Background & Objectives: Cleft lip and palate are common congenital anomalies that require precise management with main component of repairing lip is the aesthetic outcome. Using botulinum toxin is new method to optimize the resultant scar. The aim of this study is to evaluate the effect of botulinum toxin type A following cleft lip repair on resultant quality of scar. Methods: This is a comparative study conducted in Rizgary teaching hospital and private hospitals in Erbil – Kurdistan region/Iraq between July 2018 and April 2021. A total of 38 patients with cleft lip were included; bilateral and unilateral, complete and incomplete, isolated cleft lip and cleft lip and palate, 20 of them received botulinum toxin injection. Preoperative and postoperative photos were documented. Scars were analysed one year following repair. Results: Among 38 patients, in comparison of outcome of using botulinum toxin (31.6%) following cleft lip repair to patients did not receive the injection (68.4%), the scar quality was better; linear scar in botox group 100%, non-botox group 80.8%, complications were less; early complications in botox group 8.3%, non-botox group 11.5% and late complications in botox group 0% non-botox 7.7% and satisfaction was better; parents of botox group were 100% highly satisfied while for those of non-botox group 84.6% highly satisfied, 7.7% satisfied and 7.7% unsatisfied. There was significant difference between the two groups but statistically not significant. Conclusion: Botulinum toxin injections into the subjacent orbicularis oris muscle following cleft lip repair produced better appearing and narrower cheiloplasty scars.
Optical and H I studies of high- and intermediate-velocity gas towards Complex A

We present high-resolution optical and 21-cm H I spectra of seven early-type stellar sightlines towards the high-velocity cloud Complex A, at distances of up to 4.6 kpc from the Galactic plane. We do not optically detect the -160 km S-I interstellar gas associated with Complex A, and so are unable to establish limits on its distance. However, we do detect gas associated with the Low Latitude Intermediate Velocity Arch, placing it at z < 0.9 kpc, and also establish distance limits (z:s 1.2-3.3 kpc) on several other intermediate- and high-velocity clouds in this region that have not been catalogued previously.
HAND GRIP STRENGTH IN TYPE II DIABETIC PATIENTS VISITING OUT PATIENT DEPARTMENT OF A TERTIARY CARE CENTRE OF NEPAL

Background: Type 2 Diabetes Mellitus commonly affects the elderly individuals. Reduced muscle strength has been considered as one of the complication of Type 2 Diabetes Mellitus. Handgrip strength is an important parameter to evaluate the power of the hand. Hand grip strength has also proven to be an important measure to diagnose muscle degeneration at an early stage. The study aimed to compare the hand grip strength between individuals with and without type 2 diabetes mellitus. Methods: This comparative cross-sectional study was conducted in the Outpatient Department of Medicine, Kathmandu Medical College and Teaching Hospital. In total 200 subjects who met inclusion criteria participated in the study. Handgrip strength was measured with an isometric hand dynamometer and comparisons were made between diabetic and non-diabetic groups. Independent t-test were used to analyze the significance difference in hand grip strength between the two groups (p=0.05). Results: Total of 200 subjects (100 T2DM and 100 controls) were studied. Mean hand grip strength (kg) was significantly lower both in men and women with diabetes compared with controls (37.54±6.08 vs 45.16±4.82, p = 0.000 in men and 33.97±6.47 vs 44.54±5.42, p = 0.000 in women). Conclusions: Hand Grip Strength was significantly lower in subjects with type 2 diabetes mellitus subjects when compared with healthy volunteers.
THESIS FOR THE DEGREE OF LICENTIATE OF ENGINEERING Kinetic modelling of runaway in plasmas

Kinetic modelling of runaway in plasmas Ola Embréus Department of Physics Chalmers University of Technology The phenomenon of runaway occurs in plasmas in the presence of a strong electric field, which overcomes the collisional friction acting on the charged particles moving through the plasma. A subpopulation of particles can then be accelerated to energies significantly higher than the thermal energy. Such events are observed in both laboratory and space plasmas, and are of great importance in fusion-energy research, where highly energetic runaway electrons can damage the plasma-facing components of the reactor. In this thesis, a series of papers are presented which investigate various aspects of runaway dynamics. The emission of synchrotron and bremsstrahlung radiation are important energy-loss mechanisms for relativistic runaway electrons. Photons emitted in bremsstrahlung radiation often have energy comparable to the energetic electrons, and we therefore use a Boltzmann transport equation in order to describe their effect on the electron motion. This treatment reveals that electrons can reach significantly higher energies than previously thought. In comparison, synchrotron radiation has lower frequency, and is well described by the classical electromagnetic radiation-reaction force. This loss mechanism, often dominant in laboratory plasmas, significantly alters the electron dynamics, and is found to produce non-monotonic features in the runaway tail. A study is also presented of the related phenomenon of ion runaway acceleration, which differs from electron runaway due to their larger mass. Renewed interest in this topic has been sparked after recent observations of fast ions in various experiments. Finally a new method is explored to treat the non-linear Fokker-Planck equation which is commonly used to describe the collisional dynamics in a plasma. The new method is appealing for its physically intuitive description and analytic simplicity.