Miracle-dz/UniFAR-FTUs huggingface dataset:
Rectangular-Tunnel Anterior Cruciate Ligament Reconstruction Using Quadriceps Tendon-Patellar Bone Autograft Can Reduce Early Donor Site Morbidity While Maintaining Comparable Short-term Clinical Outcomes

Background Rectangular tunnel and graft have been recently designed to closely resemble the native anatomy in anterior cruciate ligament reconstruction (ACLR). This study was performed to compare the short-term clinical outcomes between rectangular and round femoral tunnels in ACLR using quadriceps tendon-patellar bone (QTPB) autografts. Methods A total of 78 patients who underwent primary ACLR with QTPB autografts performed by three senior surgeons and had at least 1 year of postoperative follow-up were retrospectively reviewed. Patients who underwent rectangular tunnel ACLR (n = 40) were compared to those treated with the conventional round tunnel ACLR (n = 38). Outcomes including knee stability, clinical scores, quadriceps strength, associated complications, postoperative knee range of motion, and cross-sectional area of the graft were assessed. Results Significant improvements in knee stability and clinical scores were observed after surgery in both groups (all p < 0.001). The postoperative measurements of knee stability and clinical scores were not significantly different between the two groups. Knee extension strength deficit at 60°/sec was significantly less in the rectangular tunnel group than in the round tunnel group at postoperative 6 months (41.7% vs. 48.9%, p = 0.032). The cross-sectional area of the partial-thickness QTPB graft was approximately 60% of the full-thickness QTPB graft. Conclusions In the short-term, rectangular tunnel ACLR was comparable to round tunnel ACLR with QTPB autograft despite the smaller cross-sectional area. Additionally, the rectangular tunnel ACLR allowed partial-thickness grafting technique, which could subsequently reduce early donor site morbidity.
Facility location and capacity acquisition : an integrated approach

The facility location and capacity acquisition decisions are intertwined, especially within the international context where capacity acquisition costs are location dependent. A review of the relevant literature however, reveals that the facility location and the capacity acquisition problems have been dealt with separately. Thus, an integrated approach for simultaneous optimization of these strategic decisions is presented. Analytical properties of the arising model are investigated and an algorithm for solving the problem is devised. Encouraging computational results are reported. 0 1995 John Wiley & Sons, Inc.
Green bonds as a bridge to the
 UN
 sustainable development goals on environment: A climate change empirical investigation

The United Nations Sustainable Development Goals (SDGs) made an urgent call for action by all the countries across the globe, with an aim to end poverty, improve health and education, reduce inequality, and spur economic growth – all of this is intended to be achieved while tackling climate change and working to protect environment and preserve earth. However, these goals cannot be achieved unless money is mobilised to finance climate change mitigation and adaptation efforts across the world. In response, various manifestations of green bonds have appeared in the market and these are considered as a bridge to the achievement of the SDGs – this is because climate mitigation and adaptation are integral to successful implementation of the SDGs. Using the Capital Asset Pricing Model, Fama – French Three Factor, Carhart Four Factor and Fama – French Five Factor pricing models, our study provides empirical evidence that the announcement of green bonds issuance lead to positively abnormal return on stocks. We divided our dataset into two parts. The first part of the dataset is from 01/01/2013 to 30/06/2018 and later part analyses the period from 01/07/2018 to 30/06/2022. The consistent results highlight the firms' and investors' efforts towards climate action (SDG13) and strongly suggest that green bonds play an important role as a bridge to the SDGs.
An Introduction to Semilinear Evolution Equations

Contents Introduction 1. Preliminary results 2. m-dissipative operators 3. The Hille-Yosida-Phillips Theorem and applications 4. Nonhomogeneous equations and abstract semilinear problems 5. The heat equation 6. The Klein-Gordon equation 7. The Schrodinger equation 8. Bounds on global solutions 9. The invariance principle and some applications 10. Stability of stationary solutions 11. Comments Bibliography Notation Index
Tebentafusp in the Treatment of Metastatic Uveal Melanoma: Patient Selection and Special Considerations

Abstract Uveal melanoma (UM) is a rare type of melanoma with distinct features from cutaneous melanoma, low response rates to immune checkpoint inhibition, and poor survival rates. Tebentafusp, a bispecific antibody engaging T cells with gp 100 on HLA-A*02:01, was recently approved by the FDA as the first drug of its class and the first treatment approved by the FDA to treat UM. In this review, we summarize the preclinical and clinical data on tebentafusp for UM. We additionally discuss patient selection and the relevant challenges. For the literature search, PubMed search and relevant articles presented at international conferences were used.
Peptides That Block RAS-p21 Protein-Induced Cell Transformation

This is a review of approaches to the design of peptides and small molecules that selectively block the oncogenic RAS-p21 protein in ras-induced cancers. Single amino acid substitutions in this protein, at critical positions such as at Gly 12 and Gln 61, cause the protein to become oncogenic. These mutant proteins cause over 90 percent of pancreatic cancers, 40–50 percent of colon cancers and about one third of non-small cell cancers of the lung (NSCCL). RAS-p21 is a G-protein that becomes activated when it exchanges GDP for GTP. Several promising approaches have been developed that target mutant (oncogenic) RAS-p21 proteins in these different cancers. These approaches comprise: molecular simulations of mutant and wild-type proteins to identify effector domains, for which peptides can be made that selectively inhibit the oncogenic protein that include PNC-1 (ras residues 115–126), PNC-2 (ras residues 96–110) and PNC7 (ras residues 35–47); the use of contiguous RAS-p21 peptide sequences that can block ras signaling; cyclic peptides from large peptide libraries and small molecule libraries that can be identified in high throughput assays that can selectively stabilize inactive forms of RAS-p21; informatic approaches to discover peptides and small molecules that dock to specific domains of RAS-p21 that can block mitogenic signal transduction by oncogenic RAS-p21; and the use of cell-penetrating peptides (CPPs) that are attached to the variable domains of the anti-RAS-p21 inactivating monoclonal antibody, Y13 259, that selectively enters oncogenic RAS-p21-containing cancer cells, causing these cells to undergo apoptosis. Several new anti-oncogenic RAS-p21 agents, i.e., Amgen’s AMG510 and Mirati Therapeutics’ MRTX849, polycyclic aromatic compounds, have recently been FDA-approved and are already being used clinically to treat RAS-p21-induced NSCCL and colorectal carcinomas. These new drugs target the inactive form of RAS-p21 bound to GDP with G12C substitution at the critical Gly 12 residue by binding to a groove bordered by specific domains in this mutant protein into which these compounds insert, resulting in the stabilization of the inactive GDP-bound form of RAS-p21. Other peptides and small molecules have been discovered that block the G12D-RAS-p21 oncogenic protein. These agents can treat specific mutant protein-induced cancers and are excellent examples of personalized medicine. However, many oncogenic RAS-p21-induced tumors are caused by other mutations at positions 12, 13 and 61, requiring other, more general anti-oncogenic agents that are being provided using alternate methods.
Reaching Out to Group Contingencies in the ESL Classroom

The most significant task for a teacher is to keep students engaged in the classroom. Teachers can use group contingencies like independent, dependent, and interdependent to assist students in being more involved in classroom tasks. This study identifies the effects of group contingencies in regulating students' engagement in ESL classroom tasks. Samples comprise 27 Form 4 mixed-ability students from a secondary school in Selangor, Malaysia. The research used a mixed-method approach that included both quantitative and qualitative methods. The findings revealed positive motivation, task retention, and teamwork promotion outcomes. Student behaviour was found to have a detrimental impact, particularly among the weaker students, who were boisterous and essentially riders. Interdependent group contingency has been determined to be the most successful method for regulating student engagement in ESL classes. This study suggests that students be divided into interdependent groups to ensure that classroom evaluations be done independently within the allotted time. It also has a good impact on the students' motivation and teamwork.
Multi-Input Speech Emotion Recognition Model Using Mel Spectrogram and GeMAPS

The existing research on emotion recognition commonly uses mel spectrogram (MelSpec) and Geneva minimalistic acoustic parameter set (GeMAPS) as acoustic parameters to learn the audio features. MelSpec can represent the time-series variations of each frequency but cannot manage multiple types of audio features. On the other hand, GeMAPS can handle multiple audio features but fails to provide information on their time-series variations. Thus, this study proposes a speech emotion recognition model based on a multi-input deep neural network that simultaneously learns these two audio features. The proposed model comprises three parts, specifically, for learning MelSpec in image format, learning GeMAPS in vector format, and integrating them to predict the emotion. Additionally, a focal loss function is introduced to address the imbalanced data problem among the emotion classes. The results of the recognition experiments demonstrate weighted and unweighted accuracies of 0.6657 and 0.6149, respectively, which are higher than or comparable to those of the existing state-of-the-art methods. Overall, the proposed model significantly improves the recognition accuracy of the emotion “happiness”, which has been difficult to identify in previous studies owing to limited data. Therefore, the proposed model can effectively recognize emotions from speech and can be applied for practical purposes with future development.
Lecanora neobarkmaniana (Lecanorales, Lecanoraceae), A New Lichen Species from South Korea

Abstract Lecanora is one of the largest genera of lichens worldwide. These lichens can be easily seen, and are commonly found on trees and rocks. Most Korean Lecanora species belong to the Lecanora subfusca group, which has well-defined superficial thallus, red–brown apothecia, and soredia. The new species of L. neobarkmaniana grows on rocks, farinose soredia coalescing, usually covering the whole thallus, and containing atranorin and zeorin. We used internal transcribed spacer (ITS) and mitochondrial small subunit (mtSSU) sequence data to identify the phylogenetic relationship across Lecanora sequence data and found the species to form different clades. In this study, we reported some interesting findings and described the genetic relationship with other sorediate Lecanora species and the characteristics of the new species. An identification key for the Korean sorediate Lecanora species is given.
Purification of Myosin from Bovine Tracheal Smooth Muscle, Filament Formation and Endogenous Association of Its Regulatory Complex

Dynamic regulation of myosin filaments is a crucial factor in the ability of airway smooth muscle (ASM) to adapt to a wide length range. Increased stability or robustness of myosin filaments may play a role in the pathophysiology of asthmatic airways. Biochemical techniques for the purification of myosin and associated regulatory proteins could help elucidate potential alterations in myosin filament properties of asthmatic ASM. An effective myosin purification approach was originally developed for chicken gizzard smooth muscle myosin. More recently, we successfully adapted the procedure to bovine tracheal smooth muscle. This method yields purified myosin with or without the endogenous regulatory complex of myosin light chain kinase and myosin light chain phosphatase. The tight association of the regulatory complex with the assembled myosin filaments can be valuable in functional experiments. The purification protocol discussed here allows for enzymatic comparisons of myosin regulatory proteins. Furthermore, we detail the methodology for quantification and removal of the co-purified regulatory enzymes as a tool for exploring potentially altered phenotypes of the contractile apparatus in diseases such as asthma.
Virtual Reality, Fear of Pain and Labor Pain Intensity: A Randomized Controlled Trial

Background Labor and delivery are physiological conditions that occur due to the contraction of the smooth muscles of the uterus. Labor pain is one of the most severe pains that anyone can experience, and its control is one of the most important goals of health care. Methods This study was performed on 130 healthy pregnant women who had gestational ages of 37 to 40 weeks and were randomly assigned to the intervention and control groups using the closed envelope technique. Then a virtual reality (VR) headset containing a game was provided to the study subjects in the intervention group. The Harman Fear of childbirth questionnaire and visual analog scale (VAS) were completed at different times across labor according to the study protocol. The minimum time for using the headset was 20 minutes until the end of the first stage of labor. Data were analyzed using the chi-square test, independent t-test, and repeated measures test via SPSS software version 20. Results The results showed a significant difference in pain score between the study groups. Despite expecting increasing pain intensity with labor progression, participants in the VR group reported less pain intensity and fear of labor pain compared to control subjects (F = 8.18, P < 0.05, between four and ten cervical dilatations). Conclusions Virtual reality interventions can be regarded as a new non-pharmaceutical strategy to control labor pain and fear of normal vaginal delivery in pregnant women.
Improving The Stability of Sulselrabar System with Dual Input Power System Stabilizer Based on Imperialist Competitive Algorithm

Disturbances in the form of electrical power oscillations are generally overcome using additional equipment such as the Conventional Power System Stabilizer (PSS). The PSS will increase the stability limit by providing damping for the generator oscillation. PSS damping means that PSS will produce an electrical torque component that is in phase with the change in speed. However, the use of PSS has many errors, namely the desired value is different from the measured value of the PSS output. This is due to shaft motion components such as lateral shaft run out or torsional oscillations. In this research, Dual Input Power System Stabilizer (DIPSS) equipment is used to reduce signal noise so that the system remains stable. With optimal DIPSS parameters, optimal system performance is obtained. In this study, a case study of the additional load on the Barru generator is used. From the test results, system performance has increased with the installation of DIPSS ICA. The increase in system performance can be seen from the speed and angle response of the generator rotor, which results in minimum overshoot oscillations and fast settling time when disturbances occur. In addition, the increase in system performance is also seen from the negative system eigenvalues.
Gamma Knife Radiosurgery for Cushing’s Disease: Evaluation of Biological Effective Dose from a Single-Center Experience

Objective: Gamma knife radiosurgery (GKRS) has served as an adjunctive treatment in Cushing’s disease (CD) for decades and has become a vital part of therapy in the management of CD. Biological effective dose (BED) is a radiobiological parameter with time correction, considering the cellular deoxyribonucleic acid repairment. We aimed to investigate the safety and efficacy of GKRS for CD and evaluate the association of BED and treatment outcome. Methods: A cohort study of 31 patients with CD received GKRS in West China Hospital between June 2010 and December 2021. Endocrine remission was defined as normalization of 24 h urinary free cortisol (UFC) or serum cortisol ≤ 50 nmol/L after a 1 mg dexamethasone suppression test. Result: The mean age was 38.6 years old, and females accounted for 77.4%. GKRS was the initial treatment for 21 patients (67.7%), and 32.3% of patients underwent GKRS after surgery due to residual disease and recurrence. The mean endocrine follow-up duration was 22 months. The median marginal dose was 28.0 Gy, and the median BED was 221.5 Gy2.47. Fourteen patients (45.1%) experienced control of hypercortisolism in the absence of pharmacological treatment, and the median duration to remission was 20.0 months. The cumulative rates of endocrine remission at 1, 2, and 3 years after GKRS were 18.9%, 55.3%, and 72.21%, respectively. The total complication rate was 25.8%, and the mean duration from GKRS to hypopituitary was 17.5 months. The new hypopituitary rate at 1, 2, and 3 years were 7.1%, 30.3%, and 48.4%, respectively. A high BED level (BED > 205 Gy2.47) was associated with better endocrine remission than a low BED level (BED ≤ 205 Gy2.47), while no significant differences were found between the BED level and hypopituitarism. Conclusions: GKRS was a second-line therapeutic option for CD with satisfactory safety and efficacy. BED should be considered during GKRS treatment planning, and optimization of BED is a potentially impactful avenue toward improving the efficacy of GKRS.
SCMA-Enabled Multi-Cell Edge Computing Networks: Design and Optimization

Multi-access edge computing (MEC) is regarded as a promising approach for providing resource-constrained mobile devices with computing resources through task offloading. Sparse code multiple access (SCMA) is a code-domain non-orthogonal multiple access (NOMA) scheme that can meet the demands of multi-cell MEC networks for high data transmission rates and massive connections. In this paper, we propose an optimization framework for SCMA-enabled multi-cell MEC networks. The joint resource allocation and computation offloading problem is formulated to minimize the system cost, which is defined as the weighted energy cost and latency. Due to the nonconvexity of the proposed optimization problem induced by the coupled optimization variables, we first propose an algorithm based on the block coordinate descent (BCD) method to iteratively optimize the transmit power and edge computing resources allocation by deriving closed-form solutions, and further develop an improved low-complexity simulated annealing (SA) algorithm to solve the computation offloading and multi-cell SCMA codebook allocation problem. To solve the problem of partial state observation and timely decision-making in long-term optimization environment, we put forward a multiagent deep deterministic policy gradient (MADDPG) algorithm with centralized training and distributed execution. Furthermore, we extend the framework to the partial offloading case and propose an algorithm based on alternating convex search for solving the task offloading ratio. Numerical results show that the proposed multi-cell SCMA-MEC scheme achieves lower energy consumption and system latency in comparison to the orthogonal frequency division multiple access (OFDMA) and power-domain (PD) NOMA techniques.
Validation and Use of GOES Sounder Moisture Information

Abstract The Geostationary Operational Environmental Satellite (GOES) sounders have provided quality hourly radiances and derived products over the continental United States and adjacent oceans for more than five years. The products derived from the radiances include temperature and moisture profiles; total precipitable water vapor (TPW); atmospheric stability indices, such as convective available potential energy (CAPE) and lifted index (LI); cloud-top properties; total column ozone; and midlevel motion. This paper focuses on validation and use of moisture profiles derived in clear regions. Validations are made with respect to collocated radiosondes, a microwave radiometer, and parallel runs of the regional Eta Model system. The ground-based microwave radiometer enables comparisons throughout the day, instead of only at conventional radiosonde launch times (0000 and 1200 UTC). The validations show that the sounder products provide unique information about the state of the atmosphere. The GOES sounder moi.
Fast /spl alpha/-weighted EM learning for neural networks of module mixtures

A class of extended logarithms is used to derive /spl alpha/-weighted EM (/spl alpha/-weighted expectation-maximization) algorithms. These extended EM algorithms (WEMs, /spl alpha/-EMs) have been anticipated to outperform the traditional (logarithmic) EM algorithm on speed. The traditional approach falls into a special case of the new WEM. In this paper, general theoretical discussions are given first. Then, clear-cut evidence that shows faster convergence than the ordinary EM approach are given for the case of mixture-of-expert neural networks. This process takes three steps. The first step is to show specific algorithms. Then, the convergence is theoretically checked. Thirdly, experiments on the mixture-of-expert learning are tried to show the superiority of the WEM. Besides the supervised learning, the unsupervised case for a Gaussian mixture is also examined. Faster convergence of the WEM is observed again.
Re-Visiting Antioxidant Therapy in Murine Advanced Atherosclerosis with Brussels Chicory, a Typical Vegetable in Mediterranean Diets

Brussels chicory, a typical vegetable in Mediterranean diets, has been recently reported to stabilize advanced atherosclerotic plaques in the brachiocephalic artery of apoE-deficient (Apoe−/−) mice. Herein, we investigated whether Brussels chicory can stabilize advanced plaques in the aorta via improving oxidative stress. Thirty week old Apoe−/− mice were fed the AIN-93G diet or supplemented with 0.5% freeze-dried Brussels chicory for twenty weeks. Aortic plaque size and stability, aortic relaxation, monocyte adhesion to aortic endothelium, free radicals, and enzymatic and non-enzymatic factors involved in free radical production and elimination in aorta and serum were measured. Brussels chicory consumption did not alter aortic plaque size, however, it stabilized aortic plaques, promoted aortic relaxation, and also inhibited monocyte adhesion to aortic endothelium. Moreover, this administration reduced oxidized LDL (ox-LDL) and 4-hydroxynonenal (4-HNE) content in aortic plaques, associated with inhibited aortic NADPH oxidase (NOX) and uncoupled endothelial nitric oxide synthase (eNOS)-mediated free radical production. However, Brussels chicory consumption did not appreciably alter aortic and serum superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPx) activities, aortic glutathione (GSH), as well as serum non-enzymatic antioxidants, such as bilirubin, uric acid, and GSH. Collectively, improved oxidative stress might contribute to the atheroprotective effect of Brussels chicory, supporting the prospect of the antioxidant therapy in advanced atherosclerosis progression.