Open Access Pub publishes peer-reviewed, free-to-read open-access articles. Showing
articles matching Inversion — open any to read the full text,
or download the PDF or XML.
Dec 2017 DOI 10.14302/issn.2641-9181.ijnr-17-1859
Vasei MohammadCorresponding author
Department of Pathology and Cell therapy based research center, Digestive Disease Research Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
Pericentric inversions in chromosome 10 are regarded as both common and rare conditions, based on breakage and rearrangement within each specific segment. We present phenotypic and cytogenetic characterizations of a rare recombinant chromosome 10, namely inv(10)(p11q26), in a 13-month-old flabby girl associated with a maternal pericentric inversion. A review of the literature on the different aspects of this condition is also provided.
Jun 2026 DOI 10.14302/issn.2694-2283.jsem-26-6247
Quintero GabrielCorresponding author
Background Ankle sprains are among the most common injuries in sports, often characterized by high recurrence rates despite appropriate local treatment. Traditional approaches primarily focus on the injured joint, with limited attention to proximal biomechanical factors that may predispose athletes to injury. Objective To propose a functional, longitudinal kinetic chain model in which sacroiliac joint dysfunction may act as a predisposing factor for ankle sprain/strain injuries in athletes. Methods This paper presents a clinical hypothesis based on biomechanical reasoning and observational findings. The proposed model describes how sacroiliac joint dysfunction, particularly posterior innominate rotation (PI), may lead to pelvic obliquity and functional leg length discrepancy. These changes may induce compensatory femoral external rotation and foot toe-out, altering ground contact mechanics during gait and running. Results (Hypothesis) The altered alignment and loading pattern may increase the vertical impact force and modify the ground reaction vector on the functionally shorter limb, resulting in reduced mechanical stability at the ankle during heel strike or foot contact. Over time, this may increase susceptibility to inversion or eversion injuries, manifesting clinically as recurrent sprain/strain. Conclusion Ankle sprains in athletes may, in some cases, represent the distal expression of a proximal biomechanical imbalance. Incorporating assessment of the sacroiliac joint and the longitudinal kinetic chain into routine clinical evaluation may improve injury risk identification and contribute to more effective prevention strategies. Further research is needed to investigate this proposed relationship.
Feb 2022 DOI 10.14302/issn.2470-5020.jnrt-22-4092
AGBA LéhlengCorresponding author
Neurology Department, Intercommunal Hospital of Poissy/Saint-Germain-En-Laye, Poissy – France
Acute disseminated encephalomyelitis (ADEM) is a monophasic, multifocal, demyelinating, autoimmune disease that affects the central nervous system (CNS). It usually occurs after a systemic infection, usually viral, including certain coronavirus infections. A 27-year-old girl presented with complaints of left interscapular pain, paresthesias and weakness in the ipsilateral upper limb. These symptoms followed paresthesias on the fingertips of her right hand the day before her admission. she was treated two weeks earlier for pneumonia with COVID-19. Her clinical pattern resulted in a moderate weakness of the left limbs associated with tactil and algic hypoesthesia in the lower left limb ascending until the C4 level in the left side. Magnetic resonance imaging (MRI) of the brain and spinal cord showed diffuse spontaneous hypersignals on fluid-attenuated inversion recovery (FLAIR) images at the cerebral level and on T2-weighted images at the spinal level. These imaging lesions coupled with the medical history of a recent COVID-19 infection led to the diagnosis of acute disseminated encephalomyelitis (ADEM) post covid-19. The clinical condition improved rapidly with intravenous (IV) corticosteroid therapy and IV immunoglobulin combined with physiotherapy. ADEM is a demyelinating autoimmune disease which is increasingly reported during this current corona virus pandemic.
Jun 2021 DOI 10.14302/issn.2766-8681.jcsr-21-3796
Raj StanleyCorresponding author
Department of Physics, Loyola College, Chennai, Tamil Nadu-India
Geoelectrical resistivity data collected from the ground contain lot of noises and errors. It requires efficient algorithm to reduce the errors to make an actual inversion models. Though different algorithm can be applied, nature inspired algorithm is more potential in inverting geoelectrical data in an elegant and comprehensive way. Bargain Optimization (BO) algorithm is framed on the concept of bargaining things to purchase for needs. In general, effective bargaining results in more profit and leads to loss when it fails. In this research work, Bargain Optimization algorithm is applied to invert geoelectrical data and the effective bargaining will take time to process and to obtain the required model. The input data is AB/2, apparent resistivity data and the inverted model through BO algorithm is successfully matched with the available litholog section of the study area. The output graphs have profit/loss bar graph, which reveals the status of bargaining during a particular number of epochs.
Jul 2020 DOI 10.14302/issn.2643-2811.jmbr-20-3449
Stanley Raj A.Corresponding author
Department of Physics, Loyola College, Chennai, Tamilnadu- 600034, India.
Electrical resistivity method is often used to estimate the subsurface structure of the earth. Many inversion algorithms are available to estimate the subsurface features. However, predicting the exact parameter in the non-linear subsurface of the earth is difficult because of its complex composition. Soft computing tools can approximate the subsurface parameters more clearly. Each soft computing tool has certain advantages and disadvantages. A hybrid formation of algorithms will make the decision more appropriate than depending on a single tool. Here in our study the data obtained through Vertical Electrical Sounding has been used to determine the sub surface characteristics of earth viz., true resistivity and thickness. Artificial Neural Networks (ANN) requires certain optimizing procedures. Here in this paper, Genetic Algorithm (GA) is applied to optimize Artificial Neural Networks (ANN). This coupled approach is tested with the field data. Error percentage of algorithm nearly mimics the behavior of earth and is verified. The best performance result shows that this technique can be implemented to estimate the non-linear characteristics of the earth more noticeably.