ACL Research Papers - Academia.edu (original) (raw)

The anterior cruciate ligament (ACL) is a key ligament in knee stability and balance. The quality of performance during the single-leg squat (SLS) exercise has emerged as an indicator of potential ACL injury risk. Many studies have... more

Background: Anterior cruciate ligament reconstruction (ACLR) has been established as the gold standard for treatment of complete ruptures of the anterior cruciate ligament (ACL) in active, symptomatic individuals. In contrast, treatment... more

Background: Anterior cruciate ligament reconstruction (ACLR) has been established as the gold standard for treatment of complete ruptures of the anterior cruciate ligament (ACL) in active, symptomatic individuals. In contrast, treatment of partial tears of the ACL remains controversial. Biologically augmented ACL-repair techniques are expanding in an attempt to regenerate and improve healing and outcomes of both the native ACL and the reconstructed graft tissue.

There have been numerous treatments developed to address ligament injury, given the functional impact of such injury on lifestyle and participa- tion in physical activities at all levels of recre- ational and competitive endeavors. With... more

There have been numerous treatments developed to address ligament injury, given the functional impact of such injury on lifestyle and participa- tion in physical activities at all levels of recre- ational and competitive endeavors. With regard to commonly diagnosed knee injuries, anterior cru- ciate ligament (ACL) insufficiency is a frequently encountered pathology that often requires surgi- cal treatment to restore the desired level of func- tion. Considering that ligament injuries most commonly affect active individuals who tend to be younger, such injuries can lead to substantial alterations in lifestyle, and therapeutic treatments that restore near-anatomic function of damaged ligaments have the potential to overcome some of the shortcomings associated with current methds of reconstruction, particularly in the case of ACL insufficiency. The incidence of complete injury to the posterior cruciate ligament (PCL) is considerably lower than that of the ACL and is estimated to occur at a rate of 2 per 100,000; however, the prevalence of asymptomatic PCL injury is considered to be not ably higher [1]. Injury to collateral ligaments represents a signifi- cant proportion of knee injuries that present to emergency rooms, and high rates of medial and collateral ligament injuries are associated with collegiate sporting activities, with many of these cases involving noncontact competition [2].
Despite advances in sports medicine, there remains controversy in the treatment of ligament injury, particularly when there is functional insuf- ficiency associated with partial ligament injury. For instance, reconstruction of the ACL is the current gold standard treatment for symptomatic ACL insufficiency, irrespective of injury pattern, and high rates of return to sport are expected [3, 4]. Disadvantages of ACL reconstruction include donor site morbidity, inability to restore normal joint kinematics, and an increased incidence of premature degenerative joint changes [5–8].
There are challenges associated with restoring anatomic function in cases of ligament injury, and biologic therapies have great potential to address some of these concerns. Therapeutic interventions that utilize bioactive growth factors and cellular elements may be used to augment ligament repair processes and can be used inconjunction with surgical treatment modalities. These biologic treatments may be a prominent feature of treatment algorithms as these technolo- gies develop and understanding of reparative pro- cesses at the cellular level advances.

As part of FNP Workshop Series, “Title Detection” is one of the two shared tasks proposed on Financial Document Structure Extraction. The objective of the task was to classify a given text block, that had been extracted from financial... more

As part of FNP Workshop Series, “Title Detection” is one of the two shared tasks proposed on Financial Document Structure Extraction. The objective of the task was to classify a given text block, that had been extracted from financial prospectuses in pdf format, as a title. Our DNN-based approach scored a weighted F1 of 97.16% on the test data.

This paper presents a Function Word centered, Syntax-based (FWS) solution to address phrase ordering in the context of statistical machine translation (SMT). Motivated by the observation that function words often encode grammatical... more

This paper presents a Function Word centered, Syntax-based (FWS) solution to address phrase ordering in the context of statistical machine translation (SMT). Motivated by the observation that function words often encode grammatical relationship among phrases within a sentence, we propose a probabilistic synchronous grammar to model the ordering of function words and their left and right arguments. We improve phrase ordering performance by lexicalizing the resulting rules in a small number of cases corresponding ...

Introducción: La reconstrucción del Ligamento Cruzado Anterior (LCA) se ha establecido como el estándar de oro para el tratamiento de las rupturas completas del Ligamento Cruzado Anterior (LCA) en individuos activos y sintomáticos.... more

Introducción: La reconstrucción del Ligamento Cruzado Anterior (LCA) se ha establecido como el estándar de oro para el tratamiento de las rupturas completas del Ligamento Cruzado Anterior (LCA) en individuos activos y sintomáticos. Contra-riamente, el tratamiento de las rupturas parciales del LCA continúa siendo controversial. Las técnicas de reparación del LCA con aumentación biológica se encuentran en expansión en un intento de regenerar y mejorar la cicatrización del LCA nativo. Propósito: El propósito de este trabajo es presentar nuestra técnica de aumentación biológica intra-operatoria con infiltra-ción intra-ligamentaria e intra-articular de médula ósea concentrada y factores de crecimiento plaquetario (PRP) bajo visión artroscópica, para el tratamiento de las lesiones parciales del LCA aisladas en una serie de cinco casos y sus resultados. Diseño del estudio: Serie de casos. Material y Métodos: Cinco pacientes (hombres) entre 15 y 30 años con lesión parcial aislada del LCA que cumplieron con los criterios de inclusión y fueron controlados prospectivamente por un periodo de dos años. Todos los pacientes fueron intervenidos y se realizaron las infiltraciónes intra-ligamentaria e intra-articular de médula ósea concentrada y factores de crecimiento plaquetario autólogo bajo visión artroscópica siguiendo el mismo protocolo. Resultados: En nuestra serie de casos todos los pacientes volvieron a su actividad deportiva en un promedio de ocho meses con rodilla estable y sin síntomas, con un seguimiento de dos años, sin re rupturas en ese periodo de tiempo. Discusión: El uso de nuevas técnicas biológicas de reparación del LCA, que incluye factores de crecimiento, PRP y células madre han reportado resultados prometedores en estudios pre-clínicos y clínicos a corto plazo. En nuestra serie, la técnica de aumentación biológica intra-operatoria con médula ósea concentrada y PRP para las rupturas parciales, aisladas y agudas del LCA, fue segura, reproducible y tuvo buenos resultados a los dos años de seguimiento. Sin embargo, son necesarios estudios a largo plazo con un mayor número de pacientes y validación de técnicas para evaluar los efectos reales de estos abordajes. Palabras claves: Lesiones parciales del LCA, Médula Ósea Concentrada, Factores de Crecimiento, PRP, Aumentación Biológica del LCA. Abstract Introduction: Anterior Cruciate Ligament (ACL) reconstruction has been established as the gold standard for the treatment of complete ruptures of the ACL in active and symptomatic individuals. Conversely, treatment of partial ruptures of the ACL remains controversial. ACL repair techniques with biological augmentation are expanding in an attempt to regenerate and improve native ACL healing. Purpose: The purpose of this paper is to present our intraoperative biological augmentation technique with intra-ligamentous and intra-articular infiltration of bone marrow concentrate (BMAC) and platelet rich in growth factors (PRP) under arthrosco-pic vision for the treatment of partial and isolated ACL tears in a series of 5 cases and their results. Study design: Case series. Material and Methods: Five patients (men) between 15 and 30 years with partial and isolated tears of the ACL who met the inclusion criteria and were prospectively controlled for a period of 2 years. All patients were treated with and intra-ligamentous and intra-articular infiltrations of BMAC and PRP under arthroscopic vision following the same protocol. Results: In our cases series, all patients returned to their sport activity in an average of 8 months with stable knee and without symptoms with a follow-up of 2 years, without ruptures in that period of time. Conclusion: The use of new biological techniques of ACL repair, including growth factors, PRP and stem cells have reported promising results in short-term preclinical and clinical studies. Our work showed that this intraoperative biological augmentation technique with BMAC and PRP for partial, isolated and acute ACL ruptures was a safe procedure, reproducible with good results at 2 years of follow-up. However, long-term studies with a greater number of patients and validation of techniques are necessary to evaluate the real effects of these approaches.

Background: Performance outcomes and return-to-play data have been reported after anterior cruciate ligament (ACL) injuries in professional football and basketball, but they have rarely been reported in professional hockey.

This paper describes how external resources can be used to improve parser performance for heavily lexicalised grammars, looking at both robustness and efficiency. In terms of robust- ness, we try using different types of external data to... more

This paper describes how external resources can be used to improve parser performance for heavily lexicalised grammars, looking at both robustness and efficiency. In terms of robust- ness, we try using different types of external data to increase lexical coverage, and find that simple POS tags have the most effect, increas- ing coverage on unseen data by up to 45%. We also show that filtering lexical items in a su- pertagging manner is very effective in increas- ing efficiency. Even using vanilla POS tags we achieve some efficiency gains, but when us- ing detailed lexical types as supertags we man- age to halve parsing time with minimal loss of coverage or precision.

This paper introduces a Maximum Entropy dependency parser based on an efficient k- best Maximum Spanning Tree (MST) algo- rithm. Although recent work suggests that the edge-factored constraints of the MST al- gorithm significantly inhibit... more

This paper introduces a Maximum Entropy dependency parser based on an efficient k- best Maximum Spanning Tree (MST) algo- rithm. Although recent work suggests that the edge-factored constraints of the MST al- gorithm significantly inhibit parsing accu- racy, we show that generating the 50-best parses according to an edge-factored model has an oracle performance well above the 1-best performance of the best dependency parsers. This motivates our parsing ap- proach, which is based on reranking the k- best parses generated by an edge-factored model. Oracle parse accuracy results are presented for the edge-factored model and 1-best results for the reranker on eight lan- guages (seven from CoNLL-X and English).

Motivated by recent work in phonotactic learning (Hayes and Wilson 2008, Albright 2009), this paper shows how to define feature-based probability distributions whose parameters can be provably efficiently estimated. The main idea is that... more

Motivated by recent work in phonotactic learning (Hayes and Wilson 2008, Albright 2009), this paper shows how to define feature-based probability distributions whose parameters can be provably efficiently estimated. The main idea is that these distributions are defined as a product of simpler distributions (cf. Ghahramani and Jordan 1997). One advantage of this framework is it draws attention to what is minimally necessary to describe and learn phonological feature interactions in phonotactic patterns. The "bottom-up" approach adopted here is contrasted with the "top-down" approach in Hayes and Wilson (2008), and it is argued that the bottom-up approach is more analytically transparent.

The purpose of the present study was to compare lower limb alignment at initial ground contact between groups with normal and abnormal hip rotation range of motion. Male (n=8) and female (n=8) subjects performed an maximal drop jump... more

The purpose of the present study was to compare lower limb alignment at initial ground
contact between groups with normal and abnormal hip rotation range of motion. Male
(n=8) and female (n=8) subjects performed an maximal drop jump diagonal side cut task
ten to the left and ten to the right. Lower limb alignment was assessed through knee
angle, hip angle, ankle angle, thigh rotation and shank rotation at initial foot contact. One
significant difference was reported between groups for the knee angle variable on the non
dominant side. This indicates that the only the knee angle variable is affected by
unbalanced hip rotation range of motion and on the non-dominant side.

Situation entities (SEs) are the events, states, generic statements, and embedded facts and propositions introduced to a discourse by clauses of text. We report on the first data-driven models for labeling clauses according to the type of... more

Situation entities (SEs) are the events, states, generic statements, and embedded facts and propositions introduced to a discourse by clauses of text. We report on the first data-driven models for labeling clauses according to the type of SE they introduce. SE classifi-cation is important for ...

We present an automatic approach to determining whether a pronoun in text refers to a preceding noun phrase or is instead nonreferential. We extract the surrounding textual context of the pronoun and gather, from a large corpus, the... more

We present an automatic approach to determining whether a pronoun in text refers to a preceding noun phrase or is instead nonreferential. We extract the surrounding textual context of the pronoun and gather, from a large corpus, the distribution of words that occur within that context. We learn to reliably classify these distributions as representing either referential or non-referential pronoun instances. Despite its simplicity, experimental results on classifying the English pronoun it show the system achieves the highest performance yet attained on this important task.

Proceedings of the 11th Meeting of the ACL-SIGMORPHON, ACL 2010, pages 28–37, Uppsala, Sweden, 15 July 2010. cO2010 Association for Computational Linguistics Maximum Likelihood Estimation of Feature-based Distributions Jeffrey Heinz and... more

Proceedings of the 11th Meeting of the ACL-SIGMORPHON, ACL 2010, pages 28–37, Uppsala, Sweden, 15 July 2010. cO2010 Association for Computational Linguistics Maximum Likelihood Estimation of Feature-based Distributions Jeffrey Heinz and Cesar Koirala ...