Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of Knee Kinematics After Single-Bundle Anterior Cruciate Ligament Reconstruction via the Medial Portal Technique With a Central Femoral Tunnel and an Eccentric Femoral Tunnel and After Anatomic Double-Bundle Reconstruction

Background: Anatomic femoral tunnel placement in anterior cruciate ligament (ACL) reconstruction is considered to be a key to good primary stability of the knee. There is still no consensus on whether a centrally placed single bundle in the anatomical femoral footprint can compare with anatomic double-bundle (DB) reconstruction. Purpose/Hypothesis: The purpose of this study was to determine knee kinematics after single-bundle ACL reconstruction via the medial portal technique using 2 different femoral tunnel positions and to compare results with those of the anatomic DB technique. The hypotheses were that (1) single-bundle reconstruction using the medial portal technique with a centrally placed femoral tunnel relative to the native footprint (SB-central technique) would more closely restore intact knee kinematics compared with the same reconstruction technique with an eccentric femoral tunnel drilled in the anteromedial bundle footprint (SB-AM technique) and (2) DB reconstruction would result in superior kinematics compared with the SB-central technique. Study Design: Controlled laboratory study. Methods: Knee kinematics was examined in 10 fresh-frozen human cadaveric knees using a robotic/universal force-moment sensor system. Kinematics in simulated pivot-shift and 134-N anterior tibial loading tests were determined in different conditions within the same specimen: (1) intact ACL, (2) deficient ACL, (3) SB-AM, (4) SB-central, and (5) DB. Results: All reconstruction techniques significantly reduced anterior tibial translation (ATT) compared with a deficient ACL at 0°, 15°, 30°, 60°, and 90° in the anterior tibial loading test (P < .01, repeated-measures analysis of variance) and at 0°, 15°, and 30° in the simulated pivot-shift test (P < .001). There were no significant differences in the SB-central group and the DB group compared with the intact ACL. Reconstruction in the SB-AM group resulted in significantly increased ATT compared with the intact ACL in near-to-extension angles in both tests (0°, 15°, and 30°; P < .01). SB-central and DB reconstructions both resulted in significantly reduced ATT, in some tests at ≤30°, compared with SB-AM reconstruction (P < .05). No significant differences between the SB-central and DB groups were found (P > .05). Conclusion: The SB-central technique restored intact knee kinematics more closely than did SB-AM reconstruction at time zero. There were no differences in knee kinematics between the DB and SB-central techniques. Clinical Relevance: Anatomic single-bundle ACL reconstruction provides similar knee kinematics as anatomic double-bundle reconstruction.
Infection prevention practice: how does experience affect knowledge and application?

The purpose of this study was to evaluate nurses’ knowledge of infection prevention procedures, the degree to which they were applied correctly, and whether length of service affected either knowledge or application. Nurses with over five years of experience had significantly increased understanding of infection prevention (p=0.009) and significantly increased application of knowledge to practice (p=0.001), compared to nurses with five years or less experience. In particular, understanding of hand hygiene and use of personal protective equipment (PPE) was poor although application was compliant, while knowledge of care of patients with meticillin resistant Staphylococcus aureus (MRSA) and Clostridium difficile was poor, which was reflected by substandard application of knowledge to practice. The results of this study suggest that focusing infection prevention education around patients with specific infections, such as MRSA and C. difficile, rather than on individual standard precautions may more effectively increase knowledge and therefore application of infection prevention practices.
An Emerging Role of Zoos to Conserve Biodiversity

Roughly one in seven threatened terrestrial vertebrate species are held in captivity, a resource for ex situ conservation efforts. At the October 2010 meeting of the Convention on Biological Diversity (CBD) in Nagoya, Japan, delegates discussed a plan to reduce pressures on the planet's biodiversity. Key targets include expanding coverage of protected areas, halving the rate of loss of natural habitats, and preventing extinction of threatened species (1). For species whose habitat is severely threatened, however, the outlook is so bleak that the International Union for Conservation of Nature (IUCN), the U.S. Endangered Species Act, and the CBD (Article 9) recognize that in situ conservation actions (i.e., in the species' natural habitat) will need to be combined with ex situ approaches, such as captive breeding in zoos, aquariums, and so on (2, 3).
Transient Regenerative Potential of the Neonatal Mouse Heart

The heart in a newborn mouse can rebuild itself after injury, but this regenerative capacity is lost within a few days. Certain fish and amphibians retain a robust capacity for cardiac regeneration throughout life, but the same is not true of the adult mammalian heart. Whether the capacity for cardiac regeneration is absent in mammals or whether it exists and is switched off early after birth has been unclear. We found that the hearts of 1-day-old neonatal mice can regenerate after partial surgical resection, but this capacity is lost by 7 days of age. This regenerative response in 1-day-old mice was characterized by cardiomyocyte proliferation with minimal hypertrophy or fibrosis, thereby distinguishing it from repair processes. Genetic fate mapping indicated that the majority of cardiomyocytes within the regenerated tissue originated from preexisting cardiomyocytes. Echocardiography performed 2 months after surgery revealed that the regenerated ventricular apex had normal systolic function. Thus, for a brief period after birth, the mammalian heart appears to have the capacity to regenerate.
The 2010 Amazon Drought

Amazonia experienced lower rainfall and higher calculated carbon emissions from tree deaths than in the 2005 drought. In 2010, dry-season rainfall was low across Amazonia, with apparent similarities to the major 2005 drought. We analyzed a decade of satellite-derived rainfall data to compare both events. Standardized anomalies of dry-season rainfall showed that 57% of Amazonia had low rainfall in 2010 as compared with 37% in 2005 (≤–1 standard deviation from long-term mean). By using relationships between drying and forest biomass responses measured for 2005, we predict the impact of the 2010 drought as 2.2 × 1015 grams of carbon [95% confidence intervals (CIs) are 1.2 and 3.4], largely longer-term committed emissions from drought-induced tree deaths, compared with 1.6 ×1015 grams of carbon (CIs 0.8 and 2.6) for the 2005 event.
Risk factor analysis for poor clinical outcome and long hospital stay after nonoperative treatment of osteoporotic vertebral fractures

BackgroundFew reports exist concerning risk factors at initial presentation for poor clinical outcome and long hospital stay after nonoperative treatment of osteoporotic vertebral fractures. The relationship between poor clinical outcome and the findings on radiographs after nonoperative treatment also is unclear. MethodsIn this retrospective comparative study, 159 patients hospitalized with osteoporotic vertebral fractures were analyzed. On presentation, we investigated age, gender, history of vertebral fractures, fractures with or without trauma, number of fractured vertebrae, the period from injury to admission, levels of fractured vertebrae, bone mineral density, serum calcium levels and serum bone alkaline phosphatase (BAP) levels, urine deoxypyridinoline levels, lateral radiographs and MRI scans. We reviewed radiographs, including pseudarthrosis seen on supine lateral and standing lateral radiographs after nonoperative treatment. On final examination, patients were divided into poor and normal clinical outcome groups (the P-group and N-group). For each parameter, differences between both groups and effects on the duration of hospital stay were evaluated statistically. ResultsThere were 57 patients in the P-group, and 102 in the N-group. None of the parameters on presentation was a risk factor for poor clinical outcome. More pseudarthroses were seen in the P-group than in the N-group. Low BAP level was a risk factor for a long hospital stay. ConclusionsThere were no clear risk factors at initial presentation for poor clinical outcome. Pseudarthrosis seen in the supine and standing radiographs indicated poor clinical outcome. A lower BAP level was associated with a significantly longer hospital stay.
Genotoxic effects of a particular mixture of acetamiprid and α‐cypermethrin on chromosome aberration, sister chromatid exchange, and micronucleus formation in human peripheral blood lymphocytes

The genotoxic effects of a particular mixture of acetamiprid (Acm, neonicotinoid insecticide) and α‐cypermethrin (α‐cyp, pyrethroid insecticide) on human peripheral lymphocytes were examined in vitro by chromosomal aberrations (CAs), sister chromatid exchange (SCE), and micronucleus (MN) tests. The human peripheral lymphocytes were treated with 12.5 + 2.5, 15 + 5, 17.5 + 7.5, and 20 + 10 μg/mL of Acm+α‐cyp, respectively, for 24 and 48 h. The mixture of Acm+α‐cyp induced the CAs and SCEs at all concentrations and treatment times when compared with both the control and solvent control and these increases were concentration‐dependent in both treatment times. MN formation was significantly induced at 12.5 + 2.5, 15 + 5, 17.5 + 7.5, μg/mL of Acm+α‐cyp when compared with both controls although these increases were not concentration‐dependent. Binuclear cells could not be detected sufficiently in the highest concentration of the mixture (20 + 10 μg/mL) for both the 24‐ and 48‐h treatment times. Mitotic index (MI), proliferation index (PI) and nuclear division index (NDI) significantly decreased because of the cytotoxic and cytostatic effects of the mixture, at all concentrations for two treatment periods. Significant decreases in MI and PI were concentration dependent at both treatment times. The decrease in NDI was also concentration‐dependent at 48‐h treatment period. In general, Acm+α‐cyp inhibited nuclear division more than positive control, mitomycin C (MMC) and showed a higher cytostatic effect than MMC. Furthermore, in this article, the results of combined effects of Acm+α‐cyp were compared with the results of single effects of Acm or α‐cyp (Kocaman and Topaktas, 2007 , 2009 , respectively). In conclusion, the particular mixture of Acm+α‐cyp synergistically induced the genotoxicity/cytotoxicity in human peripheral blood lymphocytes. © 2009 Wiley Periodicals, Inc. Environ Toxicol, 2010.
Parallelizing K-Means-Based Clustering on Spark

K-means is in fact a family of clustering algorithms with different distance functions and a variety of extension, e.g., fuzzy clustering and consensus clustering. Nevertheless, K-means-based clustering algorithms employ the similar two-phase iterative procedure including distance computation and centroids updating. Therefore, to explore the parallel implementations of this two-phase iterative procedure on Spark is not only universal to a wealth of clustering algorithms but also meets the practical needs addressed by big data. This paper contributes to reveal implementation details for parallelizing K-means-based clustering on Spark. In particular, we first introduce the boundary of so-called K-means-based clustering, and then present the overall parallelizable framework on Spark. We discuss the technical barrier and their alternative strategies for each step. Experimental results on both large-scale UCI datasets and text datasets demonstrate the effectiveness and efficiency of our implementations.
Model Organisms and Human Health

In this issue of Science, we highlight the impressive efforts to describe and analyze the genomes of the two organisms—the fly Drosophila melanogaster and the nematode worm Caenorhabditis elegans—that serve as the best models for understanding the biology of all animals, including humans. Hundreds of scientists have collaborated in these two major studies, which have moved us far beyond the complete descriptions of the DNA molecules that make up the fly and worm genomes published a little more than a decade ago, an accomplishment that seemed amazing then. As summarized in the Perspective on p. 1758, the new findings reveal essentially all of the tens of thousands of RNA and protein molecules that each of these organisms produces, as well as how their genetic information is packaged. Extensive Web-based databases built on these data are freely available to everyone, greatly accelerating future discoveries. Strange as it may seem, this research, aimed at reaching a deep molecular understanding of how the bodies of a fly and a worm are formed and maintained, will be critical for improving human health.
Stiff Landings Are Associated With Increased ACL Injury Risk in Young Female Basketball and Floorball Players

Background: Few prospective studies have investigated the biomechanical risk factors of anterior cruciate ligament (ACL) injury. Purpose: To investigate the relationship between biomechanical characteristics of vertical drop jump (VDJ) performance and the risk of ACL injury in young female basketball and floorball players. Study Design: Cohort study; Level of evidence, 3. Methods: At baseline, a total of 171 female basketball and floorball players (age range, 12-21 years) participated in a VDJ test using 3-dimensional motion analysis. The following biomechanical variables were analyzed: (1) knee valgus angle at initial contact (IC), (2) peak knee abduction moment, (3) knee flexion angle at IC, (4) peak knee flexion angle, (5) peak vertical ground-reaction force (vGRF), and (6) medial knee displacement. All new ACL injuries, as well as match and training exposure, were then recorded for 1 to 3 years. Cox regression models were used to calculate hazard ratios (HRs) and 95% CIs. Results: Fifteen new ACL injuries occurred during the study period (0.2 injuries/1000 player-hours). Of the 6 factors considered, lower peak knee flexion angle (HR for each 10° increase in knee flexion angle, 0.55; 95% CI, 0.34-0.88) and higher peak vGRF (HR for each 100-N increase in vGRF, 1.26; 95% CI, 1.09-1.45) were the only factors associated with increased risk of ACL injury. A receiver operating characteristic (ROC) curve analysis showed an area under the curve of 0.6 for peak knee flexion and 0.7 for vGRF, indicating a failed-to-fair combined sensitivity and specificity of the test. Conclusions: Stiff landings, with less knee flexion and greater vGRF, in a VDJ test were associated with increased risk of ACL injury among young female basketball and floorball players. However, although 2 factors (decreased peak knee flexion and increased vGRF) had significant associations with ACL injury risk, the ROC curve analyses revealed that these variables cannot be used for screening of athletes.
Deep Learning to Predict the Formation of Quinone Species in Drug Metabolism.

Many adverse drug reactions are thought to be caused by electrophilically reactive drug metabolites that conjugate to nucleophilic sites within DNA and proteins, causing cancer or toxic immune responses. Quinone species, including quinone-imines, quinone-methides, and imine-methides, are electrophilic Michael acceptors that are often highly reactive and comprise over 40% of all known reactive metabolites. Quinone metabolites are created by cytochromes P450 and peroxidases. For example, cytochromes P450 oxidize acetaminophen to N-acetyl-p-benzoquinone imine, which is electrophilically reactive and covalently binds to nucleophilic sites within proteins. This reactive quinone metabolite elicits a toxic immune response when acetaminophen exceeds a safe dose. Using a deep learning approach, this study reports the first published method for predicting quinone formation: the formation of a quinone species by metabolic oxidation. We model both one- and two-step quinone formation, enabling accurate quinone formation predictions in nonobvious cases. We predict atom pairs that form quinones with an AUC accuracy of 97.6%, and we identify molecules that form quinones with 88.2% AUC. By modeling the formation of quinones, one of the most common types of reactive metabolites, our method provides a rapid screening tool for a key drug toxicity risk. The XenoSite quinone formation model is available at http://swami.wustl. edu/xenosite/p/quinone .
Polariton Superfluids Reveal Quantum Hydrodynamic Solitons

A condensed-matter system is used to study superfluid dynamics. A quantum fluid passing an obstacle behaves differently from a classical one. When the flow is slow enough, the quantum gas enters a superfluid regime, and neither whirlpools nor waves form around the obstacle. For higher flow velocities, it has been predicted that the perturbation induced by the defect gives rise to the turbulent emission of quantized vortices and to the nucleation of solitons. Using an interacting Bose gas of exciton-polaritons in a semiconductor microcavity, we report the transition from superfluidity to the hydrodynamic formation of oblique dark solitons and vortex streets in the wake of a potential barrier. The direct observation of these topological excitations provides key information on the mechanisms of superflow and shows the potential of polariton condensates for quantum turbulence studies.
Near-duplicate video detection based on an approximate similarity self-join strategy

The huge amount of redundant multimedia data, like video, has become a problem in terms of both space and copyright. Usually, the methods for identifying near-duplicate videos are neither adequate nor scalable to find pairs of similar videos. Similarity self-join operation could be an alternative to solve this problem in which all similar pairs of elements from a video dataset are retrieved. Nonetheless, methods for similarity self-join have poor performance when applied to high-dimensional data. In this work, we propose a new approximate method to compute similarity self-join in sub-quadratic time in order to solve the near-duplicate video detection problem. Our strategy is based on clustering techniques to find out groups of videos which are similar to each other.
The sliding of robot fingers under combined torsion and shear loading

The authors are concerned with finding the magnitudes of applied moment and force which will cause a robot finger to slip on the surface of a grasped object. Friction and contact models used in previous grasp analyses are reviewed, and an improved model which includes torsion-shear interaction is described. Experimental measurements of the initiation of sliding as a function of loading are reported. These measurements suggest that a simple linear function of torsion and shear magnitudes will adequately predict the onset of the slip in many tasks. The use of this function is illustrated in two measures of slip susceptibility for grasp planning. <<ETX>>
Simulation of a high-speed lightweight arm

Computer simulations of the motion of a lightweight high-speed robotic arm are reported. The purpose of the simulations is to investigate the use of feedforward control along with various feedback control schemes. The numerical parameters are for an arm constructed at the Georgia Institute of Technology; however, the results are intended to be generally applicable to any lightweight, high-speed manipulator. Active control is used to damp first-mode oscillations of the links, and passive damping is used to attenuate higher modes. The simulation makes use of classical control methods as well as optimal control with feedforward torques for each control law. The mass of the payload is varied to demonstrate the robustness of the control system. All motions are based on a function S(t), a fourth-order spline with third-order continuity, which determines the desired velocity profile for the end effector. The simulation shows that dynamic errors of the order of one thousandth of a radian are reasonable. <<ETX>>
Palliative care and spirituality

Critical junctures in patients' lives such as chronic illnesses and advanced diseases may leave the persons in a state of imbalance or disharmony of body, mind and spirit. With regard to spirituality and healing, there is a consensus in literature about the influence of spirituality on recovery and the ability to cope with and adjust to the varying and demanding states of health and illness. Empirical evidence suggests that spiritual support may act as an adjunct to the palliative care of those facing advanced diseases and end of life. In this article, the author draws from his empirical work on spirituality and culture to develop a discourse on palliative care and spirituality in both secular and non-secular settings. In doing so, this paper offers some understanding into the concept of spirituality, spiritual needs and spiritual care interventions in palliative care in terms of empirical evidence. Responding to spiritual needs could be challenging, but at the same time it could be rewarding to both healthcare practitioner (HCP) and patient in that they may experience spiritual growth and development. Patients may derive great health benefits with improvements in their quality of life, resolutions and meaning and purpose in life. It is hoped that the strategies for spiritual support outlined in this paper serve as practical guidelines to HCPs for development of palliative care in South Asia.
Performance-Based Outcomes After Anterior Cruciate Ligament Reconstruction in Professional Athletes Differ Between Sports

Background: Excellent outcomes have been reported for anterior cruciate ligament (ACL) reconstruction (ACLR) in professional athletes in a number of different sports. However, no study has directly compared these outcomes between sports. Purpose: To determine if differences in performance-based outcomes exist after ACLR between professional athletes of each sport. Study Design: Cohort study; Level of evidence, 3. Methods: National Football League (NFL), National Basketball Association (NBA), National Hockey League (NHL), and Major League Baseball (MLB) athletes undergoing primary ACLR for an acute rupture were identified through an established protocol of injury reports and public archives. Sport-specific performance statistics were collected before and after surgery for each athlete. Return to play (RTP) was defined as a successful return to the active roster for at least 1 regular-season game after ACLR. Results: Of 344 professional athletes who met the inclusion criteria, a total of 298 (86.6%) returned to play. NHL players had a significantly higher rate of RTP (95.8% vs 83.4%, respectively; P = .04) and a shorter recovery time (258 ± 110 days vs 367 ± 268 days, respectively; P < .001) than athletes in all the other sports. NFL athletes experienced significantly shorter careers postoperatively than players in all the other sports (2.1 vs 3.2 years, respectively; P < .001). All athletes played fewer games (P ≤ .02) 1 season postoperatively, while those in the NFL had the lowest rate of active players 2 and 3 seasons postoperatively (60%; P = .002). NBA and NFL players showed decreased performance at season 1 after ACLR (P ≤ .001). NFL players continued to have lower performance at seasons 2 and 3 (P = .002), while NBA players recovered to baseline performance. Conclusion: The data indicate that NFL athletes fare the worst after ACLR with the lowest survival rate, shortest postoperative career length, and sustained decreases in performance. NHL athletes fare the best with the highest rates of RTP, highest survival rates, longest postoperative career lengths, and no significant changes in performance. The unique physical demand that each sport requires is likely one of the explanations for these differences in outcomes.