Miracle-dz/UniFAR-FTUs huggingface dataset:
Heart rehabilitation in patients awaiting open-heart surgery targeting complication prevention and quality of life improvement

Background: Patients with sarcopenia have a higher risk of poor recovery after coronary artery bypass grafting (CABG). Little is known about the impact of changes in muscle strength (the primary indicator for sarcopenia) on health-related quality of life (HR-QoL). This study aimed to 1) identify subgroups with different muscle strength trajectories, 2) identify differences in preoperative risk factors among trajectory group membership, and 3) explore their prognostic value on postoperative HR-QoL in patients undergoing CABG. Methods: In this prospective observational study 131 patients undergoing elective CABG completed grip strength tests and HR-QoL questionnaires. Latent Class Growth Mixture Modelling (LCGMM) was used to identify clinically relevant trajectories (> 5% of study population) for weight-normalised grip strength, measured at admission, three days, and six months after surgery. Differences between trajectory group membership at baseline were evaluated. The impact of trajectory group membership on postoperative HR-QoL was evaluated with multiple linear regression models. Results: Due to low numbers (n = 15), female patients were excluded from LCGMM and subsequent statistical analyses. In males (n = 116), we identified two main weight-nor-malised grip strength trajectories: a “stable average” trajectory with a slight decline immediately post-surgery and recovery to preoperative levels (n = 85) and a “high” trajectory with a considerable immediate decline after surgery but followed towards a higher level of recovery compared to preoperative level (n = 27). The “stable aver-age” patients were older (68 vs. 57 years; P = 0.003), had more diabetes (27% vs. 4%; P = 0.01) and had a higher BMI (27.8 vs. 24.8; P = 0.005) compared to the “high” group. After correction for age, diabetes, and baseline HR-QoL, group trajectory membership was not associated with postoperative HR-QoL, yet an increase in individual change scores of weight-normalised grip strength was associated with a better postoperative HR-QoL.
Petrology of Sedimentary Rocks: Contents

Petrology of Sedimentary Rocks is an advanced textbook describing the physical, chemical, and biologic properties of the major types of sedimentary rocks, as revealed by petrographic microscopy, geochemical techniques, and field study. It covers the mineralogy, chemistry, textures, and sedimentary structures that characterise sedimentary rocks, and relates these features to the depositional origin of the rocks and their subsequent alteration by diagenetic processes during burial. In addition to detailed sections on siliciclastic rocks (sandstones, shales, conglomerates) and carbonate rocks (limestones and dolomites), it also discusses evaporites, cherts, iron-rich sedimentary rocks, phosphorites, and carbonaceous sedimentary rocks such as oil shales. This Second Edition maintains the fundamental structure of the original book, and presents a comprehensive treatment of sedimentary petrography and petrology. It has been thoroughly updated to include new concepts and ideas, and cutting-edge techniques such as cathodoluminescence imaging of sedimentary rocks and backscattered electron microscopy. Numerous photographs and diagrams illustrate characteristic features while an extensive and up-to-date reference list provides a useful starting point for additional literature research. This textbook is designed for advanced undergraduate and graduate courses in sedimentary petrology. It is also a key reference for researchers and professional petroleum geoscientists wanting to develop an understanding of the petrologic characteristics of sedimentary rocks and their geological significance.
Strength, Jump Heights and Physical Characteristics of Young Male Basketball Players by Their Positions

The aim of the study is to compare isokinetic leg strengths and jump performances of basketball players playing at different positions. A total of 34 basketball players (guards (n=13), forwards (n=13) and centers (n=7)) from 17 teams of Turkish Basketball Development League participated in the study. The isokinetic strength tests were performed for the dominant limb at two different angular speeds (60°s-1 and 180°s-1) and the extensor and flexor peak torques (EPT and FPT) were recorded. The strengths produced according to weight were taken as relative EPT and FPT. Jump tests were performed in three categories: free jump, 120° squat jump and active jump. Multivariate variance analysis (ANOVA) was used to compare players' scores in strength and jump tests by their positions. In the comparison of the positions, the guards were shorter and slimmer than the forwards and centers (p <0.05), and they were found to have less BMI values than the centers. The absolute strength values obtained with knee extension peak torques for both angular velocities were higher in the centers than the guards (p <0.05). There was no statistically significant difference in the relative strength values. Moreover, no statistically significant difference was found between the groups for other parameters and all jump parameters (p> 0.05). Consequently, it can be stated that there are physical differences among high-level young basketball players by their positions and absolute quadriceps strengths of the centers may be higher than of the guards.
Strontium in the Bone-Implant Interface

Hip replacement is on the rise but up 17% of all hip replacement surgeries are revisions. So investigations into further improvement of the longevity of the implants are needed. The bioactivity of hydroxyapatite (HA) can be altered by chemical modification. Therefore we have investigated HA with 5% calcium substituted by strontium as coating compared to HA coating. The effect of strontium substitution was studied in a 1.3-mm gap model at 4 and 12 weeks observation in canines. The aim was to improve osseointegration of the implant by strontium substitution of the HA coating and subsequently improving implant fixation. The osseointegration and fixation of the implant was evaluated by histomorphometrical analysis and push-out test, respectively. The histomorphometrical analysis and the push-out test showed that strontium substitution has no statistically significant effect on the osseointegration and the implant fixation.
15 The relationship between ﬁ nger strength and spin rate of curve balls thrown by NCAA Division I baseball pitchers

The purpose of this study is to investigate the relationship between ﬁ nger strength and the spin rate of a curve ball by NCAA Division I baseball players. Fifteen NCAA Division I baseball players, (age 19.4 ± 1.18 years, height 183.56 ± 5.61 cm, weight 83.90 kg ± 8.41 kg, lean body mass (LBM) (73.45 ± 5.94) participated in this study. Performance data were collected at Texas A & M University-Corpus Christi during two regularly scheduled practice times and once in the biomechanics laboratory. Performance data included index pinch strength (IPS), middle pinch strength (MPS), total pinch strength (TPS), and spin rate for curve balls (SRC) measured by RevFire® technology. Additionally, throwing velocity (fast ball and curve ball), standing broad jump (SBJ), height, weight, age, body composition, rotational power (RP), and hand grip strength (HGS) were obtained. Measurements were also taken for SBJ, HGS, IPS, MPS, TPS, and RP variables. Means and standard deviations were calculated for each performance variable. All pinch strength variables were analyzed by Pearson correlation coef ﬁ cient ( r ) against spin rate of a curve ball. The alpha level was set at p ≤ 0.05. Statistical signi ﬁ cance was found between IPS and SRC ( r = -.61) and between TPS and SRC ( r = -.47). The results show that index pinch strength
Subgrid-Scale Parameterization in 3-D Models: The Role of Turbulent Mixing

Abstract : The long-term goal of this effort is to help improve turbulent mixing parameterization in 3-D numerical ocean circulation models used for studying the oceans, and in operational centers, for nowcasting/forecasting the oceanic state. The long-term goal of this effort is to help improve turbulent mixing parameterization in 3-D numerical ocean circulation models used for studying the oceans, and in operational centers, for nowcasting/forecasting the oceanic state.
A New Approach to Statistical E(cid:14)ciency of Weighted Least Squares Fitting Algorithms for Nonlinear Regression Models

We study nonlinear least-squares problem that can be transformed to linear problem by change of variables. We derive a general formula for the statistically optimal weights and prove that the resulting linear regression gives an optimal estimate (which satis(cid:12)es an analogue of the Rao-Cramer lower bound) in the limit of small noise.
The Influence of Arch Height on Propulsion and Landing Mechanics during Jumping and Hopping Tasks

ii Acknowledgments. iii List of Tables . vii List of Figures . x Chapter I: Introduction . 1 Propulsion Mechanics . 2 Quantify Arch Height . 3 Kinematics, Kinetics, and Electromyography Patterns Associated with Arch Height . 3 Summary . 5 Purpose . 6 Hypotheses . 7 Limitations . 8 Delimitations . 8 Chapter II. Review of Literature . 9 Functional Anatomy of the Foot . 9 Function and Anatomy of the Forefoot . 10 Function and Anatomy of the Rearfoot . 11 Function and Anatomy of the Midfoot . 16 Arches of the Foot . 16 Influence of Foot Mechanics on Propulsion . 20 Fundamental Elements of Propulsion . 20 Foot Mechanics . 23
Accurate Disassembly of Complex Binaries Without Use of Compiler Metadata

Accurate disassembly of stripped binaries is the first and foremost step in binary analysis, instrumentation and reverse engineering. Complex instruction sets such as the x86 pose major challenges in this context because it is very difficult to distinguish between code and embedded data. To make progress, many recent approaches have either made optimistic assumptions (e
Systematic Mapping Of Algorithms Used In Mammographic Image Processing

- Computer science applied to medicine has acquired an important role, along with the use of artificial intelligence techniques. In particular, Knowledge Engineering in Oncology, requires a more thorough, impartial and systematic mapping of the progress in this area. For this purpose, systematic mapping of algorithms used in stages of mamographic image processing was constructed, starting from a search in the Web of Science, Engineering Village and Scopus databases. Evidence was sought and requirements in the area were met. A strict selection was carried out by three specialists in image processing. Fourteen out of 199 articles retrieved from databases were accepted. Consolidated analyses of the
TELKOMNIKA Telecommunication Computing Electronics and Control

Received May 24, 2021 Revised Sep 02, 2022 Accepted Sep 12, 2022 Day by day use of internal combustion engines (ICE) compared to electric vehicles (EV) is deteriorating because mainly of pollution and their less fuel availability. In the present scenario, an electric vehicle plays a major role in place of an ICE vehicle. So that performance of EV can be improved by proper selection of electric motor. Initially, EV prefers induction motors for traction purposes, but complexity in controlling induction motor, permanent magnet synchronous motor (PMSM) presently used in EV by most of the electric vehicle manufacturers due to its advantages. This paper reviews on various control methods for PMSM used in EV. Various control methods are being used for EV applications. Initially, conventional direct torque control (DTC) technique being used in controlling electric motors but it has a drawback of high torque and flux ripples. Hence, intelligent controllers are predominantly using in controlling PMSM drives.
Vision-Based Camera/Robot Pose Estimation Using Both Semantic and Geometric Features on LEGO Baseplates

We are exploring the possibility of using LEGO baseplate as artificial landmarks (ALs) for robots and cameras in calibration, navigation or Augment Reality (AR) applications. LEGO baseplates are rigid, widely-available, low-cost, and precisely-manufactured and appear to be great candidate for ALs. However, they are also monochromatic with low contrast and easily affected by lighting. To overcome those issues, we utilize geometric and semantic information in our algorithm design by leveraging grid pattern, circle stud shapes, and text patterns. Our algorithm has extensively utilized the information for cross validation in noise filtering and position refinement using robust estimation methods. We have implemented and successfully tested our algorithm. The results show that our algorithm can recover more than 95% stud centers as feature points which ensures pose estimation accuracy. Our experiments also show that LEGO baseplate produces significantly more accurate camera pose estimation results than that of existing state-of-the-art counterpart when both methods are deployed by users with no computer vision background.
Both apoptosis and necrosis occur early after intracerebral grafting of ventral mesencephalic tissue: a role for protease activation

Neural transplantation is an experimental treatment for Parkinson’s disease. Widespread clinical application of the grafting technique is hampered by a relatively poor survival (around 10%) of implanted embryonic dopamine neurones. Earlier animal studies have indicated that a large proportion of the grafted cells die during graft tissue preparation and within the first few days after intracerebral implantation. The present study was designed to reveal the prevalence of cell death in rat intrastriatal grafts at 90 min, 1, 3, 6 and 42 days after implantation. We examined apoptotic cell death using semithin and paraffin sections stained with methylene blue and an antibody against activated caspase 3, respectively. We identified abundant apoptotic cell death up to 3 days after transplantation. In addition, we studied calpain activation using an antibody specific for calpain-cleaved fodrin. We report a peak in calpain activity 90 min after grafting. Surprisingly, we did not observe any significant difference in the number of dopaminergic neurones over time. The present results imply that grafted cells may be victims of either an early necrotic or a later apoptotic cell death and that there is substantial cell death as early as 90 min after implantation.
Asynchronous SIR model on Two-Dimensional Random Delaunay Lattices

We considered the Asynchronous SIR (susceptible-infected-removed) model on two-dimensional random Delaunay lattices. In order to investigate the critical behavior of the model, we obtained the cluster size distribution by using Newman-Ziff algorithm, allowing to simulate random inhomogeneous lattices and measure any desired percolation observables. We numerically calculated the order parameter, defined as the wrapping cluster density, the averaged mean cluster size, and Binder cumulant ratio defined for percolation in order to estimate the epidemic threshold. Our numerical results suggest that the system falls into two-dimensional dynamic percolation universality class and the quenched random disorder is irrelevant, in agreement with results for classical percolation.
The connection between more multinational banks and less real credit in transition economies

The number of multinational banks have increased in transition economies in Central and Eastern Europe, while the amount of real credit has simultaneously decreased. Based on the cases of Poland and Hungary during the first six years of economic transition this paper investigates if there is a link between greater international financial competition and less real credit. I provide a theoretical argument that connects the number of multinational banks to the availability of capital for domestic banks, and hence to their lending capacity. In support of this argument, I employ data from both countries' central banks, central statistical offices, and private institutions, as well as from international institutions, such as IMF and BIS. The evidence suggests that the increases in efficiency which result from greater competition do not outweigh the limitations on the capital base of domestic banks. Consequently, I find that the constraints that international financial competition places on domestic banks to raise their capital leads them to reduce their commercial lending activities in the early stages of financial liberalization.
Novel Bit Adder Using Arithmetic Logic Unit of QCA Technology

: Quantum cellular automata (QCA) is a new technology in nano metre scale to support nanotechnology. QCA is very effective in terms of high space density and power dissipation and will be playing a major role in the development of the Quantum computer with low power consumption and high speed. This paper describes the design and layout of a 2-bit ALU based on quantum-dot cellular automata (QCA) using Xilinx 14.4 synthesis and simulation tool. In ALU adder plays a vital role. In this survey a binary adder is taken for analysis and a new adder is designed based upon QCA technology. This modified novel bit adder is implemented into ALU structure. The aim of this proposed technique is that to reducing number of majority gates used in the design. This will lead to reduce number of QCA cells so that total area of ALU circuit can be minimized compare to previous designs. It also achieves reduced power consumption and high speed performances than all other existing ALU design which uses normal full adder.
Identification of Factors Influencing the Presence of Fecal Coliforms in Densely Populated Areas with Centralized Wastewater Treatment Systems

Introduction: Tegal Panggung is a high population density sub-district of 26,326 inhabitants/km2. Most residents utilize wells to meet their water demands, but fecal coliform bacteria were found in several wells at Tegal Panggung. This type of contamination source is typically from on-site wastewater treatments. However, wastewater from Tegal Panggung is treated at a centralized wastewater treatment plant. This study is aimed at identifying the factors leading to the presence of fecal coliform bacteria in Tegal Panggung. Methods: Factors reviewed in this study were the amount of waste, drainage, cattle pens, toilets, types of wells, and building density. Statistical methods and GIS were applied to determine the influence of the factors on the presence of fecal coliform and to map its distribution along with potential sources of pollution. The number of wells tested was 32, with a research period from September to October 2021. The statistical methods used are the Kolmogorov-Smirnov Normality Test, the Spearman Correlation Test, and the spatial analysis method, which was carried out using QGIS. The statistical tests were conducted to determine the correlation value between fecal coliform and pollutant. Results and Discussion: The study showed that only 40.62% met the standard requirements when there should be no fecal coliform contents in well water. Conclusion: Based on the Spearman Correlation Test, it can be deduced that the factors affecting the presence of fecal coliform within 10 meters radius are garbage and of 30 meters radius are toilets and building density.
Article in Press Future Generation Computer Systems ( ) – Future Generation Computer Systems Multi-dimensional Evidence-based Trust Management with Multi-trusted Paths

Trust management is an extensively investigated topic. A lot of trust models and systems have been proposed in the literature. However, a universally agreed trust model is rarely seen due to the fact that trust is essentially subjective and different people may have different views on it. We focus on the personalization of trust in order to catch this subjective nature of trust. We propose a multi-dimensional evidence-based trust management system with multi-trusted paths (MeTrust for short) to conduct trust computation on any arbitrarily complex trusted graph. The trust computation in MeTrust is conducted at three tiers, namely, the node tier, the path tier, and the graph tier. At the node tier, we consider multi-dimensional trust. Users can define a primary dimension and alternative dimensions on their own and users can make their own privileged strategies and setup weights for different dimensions for trust computation. At the path tier, we propose to use the Frank t-norm for users to control the decay rate for trust combination, which can be tuned in between the minimum trust combination (there is no decay in terms of the path length) and the product trust combination (the decay is too fast when the path length is relatively large). At the graph tier, we propose GraphReduce, GraphAdjust, and WeightedAverage algorithms to simplify any arbitrarily complex trusted graph. We employ trust truncation and trust equivalence to guarantee that every link in the graph will be used exactly once for trust computation. We evaluated trust truncation ratio and trust success ratio through extensive experiments, which can serve as a guide for users to select from a wide spectrum of trust parameters for trust computation.
Contribution of the IMIA Working Group Health Informatics for Development

D. Luna1, C. Otero2, A. Marcelo3 1 IMIA Health Informatics for Development Working Group Chair, and Chair of Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina 2 Oregon Health and Science University, USA, and Hospital Italiano de Buenos Aires, Argentina 3 IMIA Health Informatics for Development Working Group Co-Chair, National Telehealth Center, University of the Philippines Manila, Philippines
Short stint night fish markets in Kerala: A case study

Night markets of short stints (mostly one to two hours) are found to exist mostly in the landlocked regions of Kottayam and Idukki districts in Kerala. These markets offer sizeable fish trade with arrivals from different coastal states. There exist “identified” traders and possess “dedicated” roads for the timely disposal of the fish in the shortest time possible. The functioning and performance appraisal of the two prominent short stint night markets in Ernakulam district viz., Perumbavoor and Muvattupuzha was studied.
Fine-tuned RoBERTa Model with a CNN-LSTM Network for Conversational Emotion Recognition

Textual emotion recognition in conversations has gained increasing attention in recent years for the growing amount of applications it can serve, e.g., human-robot interactions, recommended systems. However, most existing approaches are either based on BERT-based model which fail to exploit crucial information about the long-text context, or resort to complex entan-glement of neural network architectures resulting in less stable training procedures and slower inference time. To bridge this gap, we first propose a fast, compact and parameter-efficient framework based on fine-tuned pre-trained RoBERTa model with a CNN-LSTM network for textual emotion recognition in conversations. First, we fine-tune the pre-tranined RoBERTa model to effectively learn long-term emotion-relevant context information. Second, convolutional neural network coupled with the bidirectional long short-term memory and joint reinforced blocks are utilized to recognize emotion in conversations. Extensive experiments are conducted on benchmark emotion MELD dataset, and the results show that our model outperforms a wide range of strong baselines and achieves competitive results with the state-of-art approaches.