Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of the results of arthroscopic anterior cruciate ligament reconstruction with quadruple strand hamstring autograft fixed by biodegradable screws

Introduction: Worldwide arthroscopic surgeons commonly used hamstring tendons as the favorable graft and biodegradable screws for fixation of the graft for Anterior Cruciate Ligament reconstruction (ACLR). The present research was undertaken to evaluate the results of arthroscopic ACL reconstruction with quadruple strand Semitendinosus and Gracilis (STG) autograft and fixed by biodegradable interference screws in both tibia and femur. Materials and Methods: This quasi-experimental research was included thirty (30) patients with ACL injuries and were treated in the form of arthroscopic reconstruction of ACL by quadruple strand hamstring autograft fixed by biodegradable screws in both tibia and femur. Preoperative and postoperative evaluations were performed according to the Lysholm Knee Scoring Scale and rehabilitation protocol was followed accordingly. Final outcome was evaluated at 24 weeks post-operatively. Results: In pre-operative evaluation, Lysholm Knee Score was poor in 93% cases and fair in 7% cases. Post operatively significant improvement was found. According to postoperative Lysholm knee score, an excellent result was obtained in 73% cases, good in 20% cases and fair in 7% cases which showed significant improvement. Conclusion: For arthroscopic ACL reconstruction, quadrupled hamstring autograft fixed with biodegradable screws in both tibia and femur brings an excellent and acceptable result.
The relation between training asymmetry and supervisory working alliance: implications for the role of supervisors in implementation

ABSTRACT Clinical supervision can effectively support the use of evidence-based treatments (EBTs) in community settings. However, implementation of multiple EBTs can lead to different training experiences for therapists and supervisors, such that therapists might learn EBTs their supervisors do not, and vice versa. We explored whether such training asymmetry impacted supervisory working alliance (SWA). In a community sample, more than half of supervisory dyads disagreed about SWA quality. When supervisors had training in fewer EBTs than their supervisees, supervisors rated working alliance lower. We conclude that incorporating supervisors in implementation from the outset could minimize negative side effects of training asymmetry.
Money and inflation in inflation-targeting regimes – new evidence from time–frequency analysis

ABSTRACT This article investigates the post-1990 link between broad money growth and inflation in 16 full-fledged inflation-targeting regimes and four benchmark non-inflation-targeting regimes. This study employs the Christiano-Fitzgerald band-pass filter and continuous wavelet transform to analyze the co-movements across operational horizons and time. According to the band-pass filtering techniques, the link between money growth and inflation was weak and statistically nonsignificant over the investigated period: from 1990 onwards. The wavelet analysis demonstrated significant causality running from money growth to inflation, and strong significant co-movements between the two variables around the Great Recession at a typical business cycle frequency. This finding suggests that policymakers may need to respond to the short-run surges in money growth by reducing money growth rates. The empirical findings support the proposal that policymakers should return to a monetary framework that controls the money supply.
NEW ZEALAND DAIRY FARM SYSTEMS AND KEY ENVIRONMENTAL EFFECTS

This paper provides an overview of the range of dairy pasture grazing systems used in New Zealand (NZ), the changes with increased inputs over time and associated key environmental effects including nitrogen (N) leaching and greenhouse gas (GHG) emissions. NZ dairy farming systems are based on yearround grazing and seasonal milk production on perennial ryegrass/clover pasture where cows are rotationally grazed in paddocks. There was an increase in stocking rate on NZ dairy farms from 2.62 cows ha – 1 in 2000/2001 to 2.85 cows ha – 1 in 2015/2016. During the same period annual milk solids production increased from 315 to 378 kg$yr – 1 per cow. This performance has coincided with an increase in N fertilizer use (by e 30%) and a twofold increase in externallysourced feeds. Externally-sourced feeds with a low protein concentration (e.g., maize silage) can increase the efficiency of N utilization and potentially reduce N losses per unit of production. Off-paddock facilities (such as standoff or feed pads) are often used to restrict grazing during very wet winter conditions. A systems analysis of contrasting dairy farms in Waikato (largest NZ dairying region) indicates that the increased input would result in an increase in per-cow milk production but little change in efficiency of milk production from a total land use perspective. This analysis also shows that the increased inputs caused an 11% decrease in N footprint (i.e., N emissions per unit of milk production) and a 2% increase in C footprint (i.e., greenhouse gas (GHG) emissions per unit of
The moderating role of lean operations between supply chain integration and operational performance in Saudi manufacturing organizations

The fundamental reason for this study was to explore the impact of Supply Chain Integration on Operational Performance through the directing part of Lean Operations. The study essential information gathered from the example that contains 288 supervisors working in Saudi Industrial Organizations lied in the western locale, utilizing an all-around planned survey. This study coordinated to study how the supply chain integration, lean operations, and operational performance can impact each other in manufacturing associations. SEM model created and deliberately surveyed and tried. The key discoveries demonstrate that rehearsing supply chain integration cycles could bring about expanding the open door for manufacturing associations to accomplish operational performance through applying lean practices. Therefore, the connection between supply chain integration and operational performance, just as the connection between lean operations and operational performance, was positive, given these connections, it very well may be presumed that the lean operations (as a directing variable) can have a positive impact the connection between supply chain integration and operational performance. Particularly, the connection between supply chain integration and quality performance measures.
Temperature-dependence on the optical properties of chitosan carbon dots in the solid state

We report the synthesis of chitosan-derived aminated carbon dots with dual fluorescence bands and their influence on the morphology, absorption and emission spectral profiles as well as on the band gap energy in relation to thermal treatment after synthesis. To unravel these changes, we performed spectroscopic measurements in the solid state on two stages at temperatures ranging from 303 to 453 K. For the first heating stage, the emission spectrum showed a 20 nm red shift and a new absorption band at 350 nm, possibly related to new bonds and/or nitrogenous molecular fractions. For the second heating stage in the same temperature range, no displacements in the emission spectrum were observed and both the energy gap and bandwidths for the two emission bands are practically constant, indicating a change nitrogen moiety exposed on the surface. Furthermore, through atomic force microscopy it was noted that the morphology and size of the CDs were not significantly affected by the increase in temperature. It is noteworthy that the values of the Huang–Rhys factor, respectively, 2.584 × 10−10 and 2.315 × 10−9 for band I and II emission after the second heating indicate a mechanism of weak electron–phonon interactions. This work may open a novel perspective for the development of new surface modulation strategies for carbon dots subjected to thermal treatment in the solid state.
Human-Following Control of Cane-Type Walking-Aid Robot Within Fixed Relative Posture

Assisting and supervising daily long-durational walking is very crucial for patients with lower extremity dysfunction, especially in the stage of recovery toward a state of walking independently. However, due to the shortage of caregivers and high cost of nursing, long-term manual assistance and supervision is costly. Thus, in this article, we propose a cane-type walking-aid robot to follow a human user for the safety and supervision of independent walking during rehabilitation training. Strongly motivated by clinical suggestions and user experiences, the human-following rule that the robot should follow the user in the required position within a fixed relative posture (keeping a certain distance in front of the user, 15–20 cm lateral to the healthy side, and 0$^{\circ }$ to the user’s orientation) is established. To guarantee a reliable following, a quantitative human walking intention estimation method is proposed using the on-board laser ranger finder and Kalman filter. To effectively monitor the user’s walking, a finite-time control method for the cane robot is also proposed to ensure its human-following performance. Experiments were conducted to demonstrate the effectiveness of the proposed system and methods. The experimental results show that the proposed system can obtain satisfactory performance of human following and can be made available for different users in different walking modes.
Effect of Potassium and Salicylic Acid Foliar Application on Dieffenbachia picta Plants with Different Irrigation Water Rates

The effects of the treatment of irrigation at different intervals (every 3, 6 and 9 days) in interacted with foliar application treatments (tap water as control, potassium silicate at 1 and 2 % as well as salicylic acid at 25 and 50 ppm) on growth, root parameters and some chemical constituents of Dieffenbachia picta were investigated. The current search was carried out at Horticulture Research Station at Mansoura, Dakahlia Governorate, Egypt, for two summer consecutive seasons of 2019 and 2020. Attained results referred to that irrigated dieffenbachia plants every six days significantly increased plant height, leaf length, leaf width and leaf number per plant at both seasons after three and six months from repotting date compared to the other irrigated intervals under study. Furthermore, the highest values of average of leaf area, root length, dry roots weight per plant as well as total chlorophyll, carotenoids and proline contents were obtained by the treatment of irrigation every 6 days. In addition, the highest values of above-mentioned parameters were recorded by foliar spray of potassium silicate at 2 % concentration compared with the other concentration of both potassium silicate and salicylic acid under study. In any case, the better growth and root parameters, higher chemical constituents (total chlorophyll, carotenoids and proline) could be obtained by spraying potassium silicate at 2% concentration on irrigated dieffenbachia plants every six days.
An Investigation of the Impact of Social Media on Construction Project Management

One of the most important aspects of managing a project is communication. Although this issue has been widely covered in management, a lack of attention has been given in the project management, slight is known as the impact of social media tools on construction project management. The main purpose of the present study is to explore the potential of social media for the construction of the project management and to understand some of the difficulties that arise from social media implementation. For this purpose a 12 question and 20-item questionnaire has been employed and distributed as a soft copy questionnaires among the sample of 400 engineers who work in the construction field, either in the private sector including contracting and consulting companies (grade one and two) or in the public sector in Jordan. The number of participants who said that they apply social media tools in their projects was 357, while 43 participants, were eliminated as they do not apply social media tools in their work. The collected data from 375 participants were analyzed by using the Statistical Package for Social Sciences (SPSS). The results indicated that there is a positive impact of social media on project management and project team in construction projects especially in reducing time. Coringly, the study revealed the existing difficulties that arise from social media use in projects. The study also has concluded that using social media in the project is highly important to organize the management project recently. Doi: 10.28991/cej-2021-03091644 Full Text: PDF
Molecular Docking Analysis of Curcuminoids from Curcuma longa Extract on iNOS as an Immunomodulator Candidate in Broilers

| Enteritis is an inflammatory reaction as a form of the body’s response to the invasion of pathogenic microorganisms in the intestine. However, excessive formation of Nitric Oxide (NO) by inducible Nitrite Oxide Synthase (iNOS) during inflammation processes can trigger cellular toxicity and widespread intestinal tissue damage. Curcuma longa extract contains active compounds, such as curcumin, tannin, alkaloids, flavonoids, and has the potential as an antioxidant, anti-inflammatory, antimicrobial, anti-toxicity, hepatoprotective, nephroprotective, and anticoagulant. This study aimed to investigate the interactions of curcuminoid active compounds in Curcuma rhizome extract on iNOS compared to diclofenac sodium (a non-steroidal anti-inflammatory drug) through computational analysis to explore the potential of Curcuma as a herbal therapy candidate for poultry enteritis. Preparing the three-dimensional structure of iNOS, sodium diclofenac, and curcuminoid active compounds contained in Curcuma extract was the initial step of this study, followed by molecular docking analysis. The results of all molecule interactions were then visualized through Pymol and analyzed by Discovery Studio Visualizer software. The docking visualization results showed that the amino acid residues from iNOS that had the most interactions with ligands were His (421), LYS (261), Trp (203). Molecular docking results of the four active compounds showed that Bisdemethoxycurcumin had the lowest free energy (ΔG) value (-8.00 kcal/mol). The stable conformation location of two ligands (bisdemethoxycurcumin and curcumin) differs from sodium diclofenac, so the type of activity can be said to be a non-competitive inhibition. These results indicated that bisdemethoxycurcumin and curcumin have the potential as anti-inflammatory agents.
The effect of production costs on the provisioning management of materials: Evidence from paper industry in Peru

This paper presents an empirical investigation to evaluate the impact of purchase, storage and inventory management on the production costs of materials supply management in the Peruvian paper industry. A linear regression model was used under the ordinary least squares method to determine the causal relationship between the provisioning of materials and production costs. It was concluded that the evaluation of the effect between the study variables was inversely proportional, that is, as the management of purchase, storage, and inventory in companies improve, the production costs may also be reduced.
The complete chloroplast genome provides insight into the polymorphism and adaptive evolution of Garcinia paucinervis

Abstract Garcinia paucinervis is an evergreen tree with high medicinal value. Due to its vulnerable reproductive capacity coupled with excessive logging by humans, G. paucinervis has become an endangered species. In order to protect this species effectively, we drew the complete chloroplast genome of G. paucinervis and performed a series of comparative analyses on G. paucinervis and its neighbouring species. The chloroplast genome size of G. paucinervis is 157702 bp. In the chloroplast genome, we identified 130 genes, 56 RNA editing sites in the protein-coding genes, as well as 241 simple sequence repeats (SSRs) and 49 complex repetitive sequences. Comparative analysis identified some high divergent sequences in the intergenic spacers, which can be used as candidate markers for phylogenetic study. From an adaptive evolution point of view, a branch-site model analysis identified positively selected sites in 5 genes, most of which are involved in ribosome biogenesis, protein synthesis and other developmental processes. The detected codon substitutions may be associated with the evolution of G. paucinervis to adapt to the extreme habitat in karst. In addition, the result of the phylogenetic analysis supports the previous phylogenomic studies of taxa within the rosids clade. The ML tree revealed that G. mangostana was a sister to G. gummi-gutta, and they formed a diverging lineage to G. paucinervis in Garcinia. The above information is of great significance for us to understand the evolution of G. paucinervis chloroplast and lays the foundations for future studies in species conservation.
Dynamic Analysis on Crypto-ransomware by using Machine Learning: GandCrab Ransomware

A ransomware is a unique class of malware which has gotten extremely famous in digital crooks to corkscrew cash. It categorizes the client confines by accessing their machines (PCs, cell phones and IoT gadgets) unless the payoff is paid. Consistently, security specialists report numerous types of ransomware assaults, including ransomware families. User’s data will be collected at the time of dynamic process. The collected data will be in crypto ransomware type from that we can extract features like IP address, file length, URL. We will do dynamic analyse of the presently data with the antecedent data. Using machine learning algorithm (by combining Random Forest, Gradient Tree Boosting and Support Vector machine algorithm) we can classify the data as benign or ransomware. The achievement rate of classification using machine learning algorithm is 98.45% with false rate 0.01. The proposed achievement rate will be compared among linear regression, navie Bayes and adaboost algorithm. Gandcrab ransomware-Version, algorithm is to be identified.
A new numerical method for level set motion in normal direction used in optical flow estimation

We present a new numerical method for the solution of level set advection equation describing a motion in normal direction for which the speed is given by the sign function of the difference of two given functions. Taking one function as the initial condition, the solution evolves towards the second given function. One of possible applications is an optical flow estimation to find a deformation between two images in a video sequence. The new numerical method is based on a bilinear interpolation of discrete values as used for the representation of images. Under natural assumptions, it ensures a monotone decrease of the absolute difference between the numerical solution and the target function, and it handles properly the discontinuity in the speed due to the dependence on the sign function. To find the deformation between two functions (or images), the backward tracking of characteristics is used. Two numerical experiments are presented, one with an exact solution to show an experimental order of convergence and one based on two images of lungs to illustrate a possible application of the method for the optical flow estimation.
Improving Sparse Noise Removal via L0-Norm Optimization for Hyperspectral Image Restoration

This letter presents a novel method for hyperspectral image (HSI) restoration, which aims to improve the removal effectiveness of the sparse noise. In contrast to the existing approaches that employ the <inline-formula> <tex-math notation="LaTeX">$L_{1}$ </tex-math></inline-formula>-norm for tractable optimization, we apply the non-convex non-smooth <inline-formula> <tex-math notation="LaTeX">$L_{0}$ </tex-math></inline-formula>-norm to measure the sparsity of the impulse noise, stripes, deadlines, and other outliers accurately. By combining the low-rank and total variation (TV) priors to exploit the intrinsic properties of the clean HSI and using the patch scheme to preserve local features, the <inline-formula> <tex-math notation="LaTeX">$L_{0}$ </tex-math></inline-formula>-PLRTV restoration model is established. In order to deal with the optimization problem, we introduce an equivalent primal-dual formulation to reformulate the <inline-formula> <tex-math notation="LaTeX">$L_{0}$ </tex-math></inline-formula>-norm term, and develop a minimization approach for the objective function based on the alternating iterative method. The simulated and real data experiments confirm that the proposed algorithm can effectively reduce the sparse noise in HSI.
An Approach to the Generation and Analysis of Databases of Simulated Radar Sounder Data for Performance Prediction and Target Interpretation

Radar sounders (RSs) are low-frequency instruments that profile the shallow subsurface of planetary targets to obtain valuable scientific information. The prediction of the RS performance and the interpretation of the target properties from the RS data are challenging due to the complex electromagnetic interaction among many acquisition variables. Simulation of RS data can address this issue by modeling the complex interaction and producing simulated radargrams representing the acquisition scenario. In this article, we present an approach to generate databases of geoelectrical models and simulated radargrams corresponding to combinations of: 1) target geoelectrical hypotheses; 2) RS parameters; and 3) acquisition geometry configurations. The proposed approach exploits this database for: 1) predicting the detection performance and sensitivity of the RS and 2) understanding the interpretability of the underlying hypotheses. In order to identify hypothesis combinations that can be unambiguously inverted from the radargrams, we analyze the similarity between pairs of geoelectrical models and between the simulated radargrams, and the statistical distance between radargram features. The approach is demonstrated for the case of Radar for Icy Moons Exploration (RIME), using three selected targets on the Jovian moon Ganymede, with three different simulation techniques. The results are very promising and reveal the effectiveness of the proposed approach in extracting valuable information regarding: 1) the target detection performance of RIME; 2) the sensitivity to the dielectric contrast; 3) the separability of radargram features; and 4) the identification of hypothesis combinations producing significantly different radar response, and thus invertible.
A Distributed Black-Start Optimization Method for Global Transmission and Distribution Network

With the large-scale integration of distributed generators (DGs), the coupling relations between transmission network (TN) and distribution networks (DNs) are getting closer. Coordinating the black-start processes of TN and DNs is beneficial to improving restoration efficiency. Therefore, a distributed black-start optimization method for global transmission and distribution (T&D) network is proposed in this paper. Firstly, a black-start optimization model of global T&D network is established to minimize the outage costs. Then, it is decomposed into the TN black-start optimization sub-problem and several DN black-start optimization sub-problems based on the analytical target cascading (ATC). The mixed integer quadratic programming (MIQP) is used for sub-problem modeling. The models take into account the restoration operations of different grid components at each black-start time step. The transmission control center (TCC) and distribution control centers (DCCs) only need to exchange partial information including the boundary power at each time step for distributed coordination, to obtain the coordinated black-start scheme for T&D network. Finally, the effectiveness of the proposed model and method is validated using a global T&D network case.