Miracle-dz/UniFAR-FTUs huggingface dataset:
NON-CONTACT ANTERIOR CRUCIATE LIGAMENT AND LOWER EXTREMITY INJURY RISK PREDICTION USING FUNCTIONAL MOVEMENT SCREEN AND KNEE ABDUCTION MOMENT: AN EPIDEMIOLOGICAL OBSERVATION OF FEMALE INTERCOLLEGIATE ATHLETES.

Background Modifiable risk factors associated with non-contact anterior cruciate ligament (ACL) injuries are highly debated, yet the incidence rate of ACL injury continues to increase. Measures of movement quality may be an effective method for identifying individuals who are at a high risk of injury. Purpose The purpose of this study was to investigate whether a movement screen and/or a drop-jump landing (DJL) task identifies female individuals at a higher risk for sustaining non-contact lower extremity (LE) injuries, particularly ACL injuries. Study Design Cohort study. Methods 187 women (mean age 19.5 ± 1.21 years) who played collegiate soccer, volleyball, or basketball completed the Functional Movement Screen (FMS™) and a drop-jump landing task. Weekly injury reports of participants who sustained a non-contact LE injury were collected. FMS™ scores (both total score and individual screens) and Knee Abduction Moment (KAM) values from the DJL task, were compared between injured and uninjured sample populations. Results A statistically significant difference (t = 1.98, p = 0.049) was observed in the FMS™ scores between the injured (ACL and LE injury) and uninjured groups. Prior ACL injury was also a significant predictor of LE injury (OR = 4.4, p = 0.01). Conclusions The FMS™ can be used to identify collegiate female athletes who are at an increased risk of sustaining a non-contact ACL or LE injury. Female collegiate athletes that score 14 or less on the FMS™ have a greater chance of sustaining a non-contact LE injury than those who score above 14. Level of Evidence 3b.
Integral feedback control is at the core of task allocation and resilience of insect societies

Significance A key problem for complex systems is achieving resilience through their (often nonlinear) interactions between components. Social insect colonies are natural examples of highly scalable systems that achieve homeostatic self-regulation based on local interactions. We describe a “functional core model” that we identified in three different insect societies (wasps, ants, and honey bees). This core model is based on self-regulation through a shared (limited) substance that works as an information center and as a buffer system simultaneously. This system has several adaptive properties, as it is robust against environmental disturbances and insensitive against parameter changes. Finding such a “common core model” is of high significance in understanding the discrete transitions from individuality to sociality in several animal species through convergent evolution. Homeostatic self-regulation is a fundamental aspect of open dissipative systems. Integral feedback has been found to be important for homeostatic control on both the cellular and molecular levels of biological organization and in engineered systems. Analyzing the task allocation mechanisms of three insect societies, we identified a model of integral control residing at colony level. We characterized a general functional core mechanism, called the “common stomach,” where a crucial shared substance for colony function self-regulates its own quantity via reallocating the colony’s workforce, which collects and uses this substance. The central component in a redundant feedback network is the saturation level of this substance in the colony. An interaction network of positive and negative feedback loops ensures the homeostatic state of this substance and the workforce involved in processing this substance. Extensive sensitivity and stability analyses of the core model revealed that the system is very resilient against perturbations and compensates for specific types of stress that real colonies face in their ecosystems. The core regulation system is highly scalable, and due to its buffer function, it can filter noise and find a new equilibrium quickly after environmental (supply) or colony-state (demand) changes. The common stomach regulation system is an example of convergent evolution among the three different societies, and we predict that similar integral control regulation mechanisms have evolved frequently within natural complex systems.
Metabolic pathways associated with right ventricular adaptation to pulmonary hypertension: 3D analysis of cardiac magnetic resonance imaging

Abstract Aims We sought to identify metabolic pathways associated with right ventricular (RV) adaptation to pulmonary hypertension (PH). We evaluated candidate metabolites, previously associated with survival in pulmonary arterial hypertension, and used automated image segmentation and parametric mapping to model their relationship to adverse patterns of remodelling and wall stress. Methods and results In 312 PH subjects (47.1% female, mean age 60.8 ± 15.9 years), of which 182 (50.5% female, mean age 58.6 ± 16.8 years) had metabolomics, we modelled the relationship between the RV phenotype, haemodynamic state, and metabolite levels. Atlas-based segmentation and co-registration of cardiac magnetic resonance imaging was used to create a quantitative 3D model of RV geometry and function—including maps of regional wall stress. Increasing mean pulmonary artery pressure was associated with hypertrophy of the basal free wall (β = 0.29) and reduced relative wall thickness (β = −0.38), indicative of eccentric remodelling. Wall stress was an independent predictor of all-cause mortality (hazard ratio = 1.27, P = 0.04). Six metabolites were significantly associated with elevated wall stress (β = 0.28–0.34) including increased levels of tRNA-specific modified nucleosides and fatty acid acylcarnitines, and decreased levels (β = −0.40) of sulfated androgen. Conclusion Using computational image phenotyping, we identify metabolic profiles, reporting on energy metabolism and cellular stress-response, which are associated with adaptive RV mechanisms to PH.
Music Transformer: Generating Music with Long-Term Structure

Music relies heavily on repetition to build structure and meaning. Self-reference occurs on multiple timescales, from motifs to phrases to reusing of entire sections of music, such as in pieces with ABA structure. The Transformer (Vaswani et al., 2017), a sequence model based on self-attention, has achieved compelling results in many generation tasks that require maintaining long-range coherence. This suggests that self-attention might also be well-suited to modeling music. In musical composition and performance, however, relative timing is critically important. Existing approaches for representing relative positional information in the Transformer modulate attention based on pairwise distance (Shaw et al., 2018). This is impractical for long sequences such as musical compositions since their memory complexity for intermediate relative information is quadratic in the sequence length. We propose an algorithm that reduces their intermediate memory requirement to linear in the sequence length. This enables us to demonstrate that a Transformer with our modified relative attention mechanism can generate minute-long compositions (thousands of steps, four times the length modeled in Oore et al., 2018) with compelling structure, generate continuations that coherently elaborate on a given motif, and in a seq2seq setup generate accompaniments conditioned on melodies. We evaluate the Transformer with our relative attention mechanism on two datasets, JSB Chorales and Piano-e-Competition, and obtain state-of-the-art results on the latter.
Clinical efficacy of immune checkpoint inhibitors in the treatment of unresectable advanced or recurrent gastric cancer: an evidence-based review of therapies

Standard treatment options for patients with advanced gastric cancer (GC) offer limited efficacy and are associated with some toxicity, which necessitates the development of more effective therapies for improving the treatment outcomes for this disease. Immunotherapy involving immune checkpoint inhibitors (ICIs) which inhibit the programmed death 1 (PD-1)/programmed death ligand 1 interaction has emerged as a new treatment option. Nivolumab, a human IgG4 monoclonal antibody inhibitor of PD-1, has demonstrated promising clinical activity and induced durable responses in patients with advanced GC. Nivolumab has recently been approved for treating patients with pretreated advanced GC in Japan. In the present review, we summarized current evidence of the clinical efficacy of ICIs in a variety of solid tumors and reported our experience in patients with GC who were treated with nivolumab and the interesting features that were observed in these cases. Certain ICI-specific clinical features such as pseudo- and hyper-progression of tumor and hyper-response to subsequent chemotherapy have been reported in several cancer types. Lastly, we discussed the present scenario regarding research on biomarkers for assessing the clinical benefits of ICI therapies.
Network embedding in biomedical data science

Owning to the rapid development of computer technologies, an increasing number of relational data have been emerging in modern biomedical research. Many network-based learning methods have been proposed to perform analysis on such data, which provide people a deep understanding of topology and knowledge behind the biomedical networks and benefit a lot of applications for human healthcare. However, most network-based methods suffer from high computational and space cost. There remain challenges on handling high dimensionality and sparsity of the biomedical networks. The latest advances in network embedding technologies provide new effective paradigms to solve the network analysis problem. It converts network into a low-dimensional space while maximally preserves structural properties. In this way, downstream tasks such as link prediction and node classification can be done by traditional machine learning methods. In this survey, we conduct a comprehensive review of the literature on applying network embedding to advance the biomedical domain. We first briefly introduce the widely used network embedding models. After that, we carefully discuss how the network embedding approaches were performed on biomedical networks as well as how they accelerated the downstream tasks in biomedical science. Finally, we discuss challenges the existing network embedding applications in biomedical domains are faced with and suggest several promising future directions for a better improvement in human healthcare.
Students’ Motivation and Engagement Predict Reading Achievement Differently by Ethnic Group

Abstract The authors examined Grade 3 and Grade 5 teacher-rated classroom engagement and student self-reported motivation for reading as predictors of reading achievement. They investigated the patterns of prediction of achievement for three racial/ethnic groups (White, Black, and Hispanic) and five levels of socioeconomic status (SES) in a combined within-group model. Groups were created by crossing race/ethnicity with SES to form 15 independent groups for each grade level. Results indicated that self-reported motivation was a significant predictor of reading achievement mainly for White third-grade students; teacher-reported engagement was a better predictor for all racial/ethnic groups for both Grade 3 and Grade 5 reading achievement. Results show higher achievement for White and higher-SES students compared with non-White and lower-SES students.
Left cheek poses garner more likes: the effect of pose orientation on Instagram engagement

ABSTRACT In social media’s attention economy “likes” are currency; photos showing faces attract more “likes. ” Previous research has established a left cheek bias in photos uploaded to social media, but whether left cheek poses induce more engagement than right cheek poses remains to be determined. The present study thus examined whether pose orientation influences the number of “likes” and comments garnered by photos uploaded to Instagram. The top 20 single-user Instagram accounts were identified, and the most recent 10 left and 10 right cheek images were selected, resulting in a total of 400 images. The number of “likes” and comments were tallied for each image, netting over 1 billion “likes” and 14 million comments for analysis. Results confirmed that pose orientation influences audience engagement: left cheek poses garner >10% more “likes” than right cheek poses. Gender did not influence “likes”. Comments were not affected by either pose orientation or gender, likely reflecting the different levels of effort and motivations involved in “liking” vs. commenting on an image. These data indicate that a seemingly inconsequential turn of the head profoundly impacts audience engagement: left cheek poses gained >330,000 more “likes”, offering clear implications for marketers and others in the social media economy.
A4: Automatically Assisting Android API Migrations Using Code Examples

The fast-paced evolution of Android APIs has posed a challenging task for Android app developers. To leverage the newly and frequently released APIs from Android, developers often must spend considerable effort on API migrations. Prior research work and Android official documentation typically provide enough information to guide developers in identifying both the changed API calls that need to be migrated and the corresponding API calls in the new version of Android (what to migrate). However, the API migration task is still challenging since developers lack the knowledge of how to migrate the API calls. In addition to the official documentation, there exist code examples, such as Google Samples, that illustrate the usage of APIs. We posit that by analyzing the changes of API usage in code examples, we may be able to learn API migration patterns to assist developers with API migrations. In this paper, we propose an approach that automatically learns API migration patterns from code examples and applies these patterns to the source code of Android apps for API migration. To evaluate our approach, we migrate API calls in open source Android apps by learning API migration patterns from both public and manually generated code examples. We find that our approach can successfully learn API migration patterns and provide API migration assistance in 71 out of 80 cases. In particular, our approach can either automatically migrate API calls with little to no extra modifications needed or provide guidance to assist with the migrations. Our approach can be adopted by Android developers to reduce the effort they spend on regularly migrating Android APIs.
Optionalität & Prediktivität: Privatheit und der Subjektivierungswiderspruch algorithmisch organisierter Überwachungsgesellschaften

Die Annahme, dass die algorithmische Verarbeitung und Verwertung von digitalen Daten Privatheit bedroht, gehört zu den Gemeinplätzen der „Digitalen Gesell-schaft“. Will man über diesen Gemeinplatz hinauskommen, so stellt sich die Frage nach dem Zusammenhang zwischen algorithmisch gestützter Überwachungsgesell-schaft und informationeller Privatheit bzw. ihrer Bedrohung: Zu fragen ist dann, welche Privatheit wie und warum von welchen Instanzen bedroht wird; und was im Rahmen dieser Bedrohung auf dem Spiel steht. Der Beitrag geht diesen Fragen nach, indem im ersten Schritt gezeigt wird, dass zeitgenössische, algorithmische Überwachung geeignet ist, das im 20. Jahrhundert dominant gewordene Schutzkonzept der individuellen Informationskontrolle nachhaltig zu erschüttern. Um vor diesem Hintergrund zu einer neuartigen, der aktuellen Situation angemessenen Privatheitskonzeption zu kommen, wird im nächsten Schritt der Grundwiderspruch datafizierter Subjektivierung identifiziert, da die informationelle Privatheit des 21. Jahrhunderts einen Umgang mit diesem ermöglichen muss. Daraufhin wird anhand eines Abgleichs mit den Subjektivierungsformen des 20. Jahrhundert gezeigt, wie besagter Widerspruch sich aktuell in der Selbst-Konstitution der Akteure artikuliert, und warum individuelle
Understanding Structure-Activity Relationships for Trypanosomal Cysteine Protease Inhibitors by Simulations and Free Energy Calculations

The protozoan cysteine proteases cruzain in Trypanosoma cruzi and rhodesain in Trypanosoma brucei are therapeutic targets for Chagas disease and Human African Trypanosomiasis (HAT), respectively. A benzimidazole series was previously characterized as potent noncovalent competitive cruzain and rhodesain inhibitors with activity against trypanosomes. Common structure-activity relationships (SAR) trends and structural modifications leading to selectivity against each enzyme were described. However, some of these trends could not be understood based on the reported binding mode of lead compound 1. Therefore, we employed microsecond molecular dynamics simulations and free energy calculations to understand qualitative SAR trends and to quantitatively recapitulate them. Simulations revealed the most stable protein-ligand interactions and provided insights concerning enzyme selectivity. Calculated relative binding free energies of compound 1 analogs exhibited deviations of 1.1 and 2.2 kcal/mol from the experimental values for cruzain and rhodesain, respectively. These data encourage prospective thermodynamic integration (TI) studies to optimize this series and facilitate the prioritization of compounds for synthesis.
Assessing the Reliability of Using a Horizontal Leg Press Equipped With a Force Plate to Report on Measures of Positive and Negative Neuromuscular Characteristics

Abstract Ferley, DD and Vukovich, MD. Assessing the reliability of using a horizontal leg press equipped with a force plate to report on measures of positive and negative neuromuscular characteristics. J Strength Cond Res 33(2): 360–371, 2019—Individuals participating in sport or returning from a lower-extremity injury routinely perform assessments of lower-body anaerobic capacity and power to gauge fitness or readiness to return to competition. However, many commonly used assessments lack the specificity of movement and muscle contraction demonstrated in sprinting, jumping, and changing direction. Therefore, this investigation assessed the reliability of a novel lower-body power test called a Plyo Press Power Quotient (3PQ), which involves jumping on a horizontal leg press equipped with a force plate. Thirty participants completed 1 repetition maximum (1RM) strength testing for 1 and 2 legs and a countermovement vertical jump. Two trials of 1- and 2-leg jump tests were performed using 30, 40, 50, and 60% of 1RM for 20 and 30 seconds, respectively. Dependent variables were a variety of positive (concentric) and negative (eccentric) neuromuscular indices. Statistical significance was set to p ⩽ 0.05. No significant differences existed between trial 1 and 2 for any measures. One-way analysis of variance between %1RM conditions revealed significant differences in peak force (right; both), average negative power (left; right), average negative work (left; right), rate of power development (both), percent positive and negative fatigue (left; right; both), and velocity of movement (left; right; both). Peak power of all 2-leg jump tests correlated highly with vertical jump (r ≥ 0.89) but was significantly different. We conclude 3PQ testing provides a reliable assessment of anaerobic capacity and power, with the added benefit of easy single-leg comparisons.
Comparison between cystourethrography and sonourethrography in preoperative diagnostic management of patients with anterior urethral strictures.

AIM To evaluate the urethral lesions and the degree of spongiofibrosis using cystourethrography (CUG) and sonourethrography (SUG) in order to propose the best imaging method for further surgical treatment. MATERIAL AND METHODS The study involved 66 patients with anterior urethral strictures with indication for urethroplasty. Results of CUG and SUG were compared with each other and data from surgical protocol. RESULTS Totally 72 strictures were detected; 47 in the bulbar part of urethra and 25 in the penile urethra. The mean length of the stenosis was 16.43 mm for CUG and 27.41 mm for SUG and 31.05 mm during surgery. The correlation levels between imaging techniques and intraoperative measurements were 0.55 (p<0.001) for CUG and 0.73 (p<0.001) for SUG. After dividing the strictures according to their location, better correlation for stenoses was obtained in penile urethra: 0.66 (p<0.001) for CUG and 0.86 (p<0.001) for SUG. CONCLUSIONS SUG seems to be a simple and fast examination to evaluate urethral strictures. It is more accurate in comparison to CUG and gives a possibility to assess the spongiofibrosis. This information suggests that SUG can be a good complement to CUG in diagnosis of anterior urethtral strictures.
Functional relationship between p53 and RUNX proteins

Abstract RUNX genes belong to a three-membered family of transcription factors, which are well established as master regulators of development. Of them, aberrations in RUNX3 expression are frequently observed in human malignancies primarily due to epigenetic silencing, which is often overlooked. At the G1 phase of the cell cycle, RUNX3 regulates the restriction (R)-point, a mechanism that decides cell cycle entry. Deregulation at the R-point or loss of RUNX3 results in premature entry into S phase, leading to a proliferative advantage. Inactivation of Runx1 and Runx2 induce immortalization of mouse embryo fibroblast. As a consequence, RUNX loss induces pre-cancerous lesions independent of oncogene activation. p53 is the most extensively studied tumour suppressor. p53 plays an important role to prevent tumour progression but not tumour initiation. Therefore, upon oncogene activation, early inactivation of RUNX genes and subsequent mutation of p53 appear to result in tumour initiation and progression. Recently, transcription-independent DNA repairing roles of RUNX3 and p53 are emerging. Being evolutionarily old genes, it appears that the primordial function of p53 is to protect genome integrity, a function that likely extends to the RUNX gene as well. In this review, we examine the mechanism and sequence of actions of these tumour suppressors in detail.
Brentuximab vedotin in T-cell lymphoma

ABSTRACT Introduction: Brentuximab vedotin is an antibody-drug conjugate, which combines a CD30 monoclonal antibody with the microtubule-disrupting agent monomethylauristatin E. The utility of brentuximab vedotin has been explored in a number of diseases, with a recent focus on T-cell lymphoma, particularly systemic anaplastic large-cell lymphoma (sALCL) and cutaneous T-cell lymphoma (CTCL), as well as other peripheral T-cell lymphoma (PTCL) histologies. Areas covered: This review surveys current data on the efficacy of brentuximab vedotin in T-cell lymphoma, as well as embedding it in a therapeutic context by reviewing potential competitor agents in the clinic. Data are drawn from published literature, with a focus on clinical trial data rather than preclinical studies or case reports. Expert opinion: Brentuximab vedotin has a clear clinical benefit in CTCL and sALCL, and can achieve durable responses in a number of patients. Toxicities, particularly peripheral neuropathy, may limit treatment in some patients; however, the agent is generally well tolerated. In this context, brentuximab vedotin has been globally approved for use in sALCL and certain CTCL subtypes, however, further information is required to enhance our understanding of when and in whom to best employ this agent, as well as exploring rational combinations to augment responses.