Exactly Solvable Fermionic N-chain Models

Motivated by the problem of N coupled Hubbard chains, we investigate a generalisation of the Schulz-Shastry model containing two species of one-dimensional fermions interacting via a gauge field that depends on the positions of all the particles of the other species. The exact many body ground state of the model can be easily obtained through a unitary transformation of the model. The correlation functions are Luttinger-like - i.e., they decay through power laws with non-integer exponents. Through the interaction dependent correlation functions of the two-particle operators, we identify the relevant perturbations and hence, possible instabilities.Comment: 10 pages, 1 eps figure, Late

Unstable intertrochanteric femoral fracture care in older population

Background: The present study aimed to compare outcomes between geriatric patients treated with cementless bipolar hip arthroplasty (BHA) and proximal femoral nail (PFN) for intertrochanteric femur fractures, focusing on postoperative complications, reoperation rates, implant-related issues, and functional outcomes. Methods: The present study took place at PRM medical college, Baripada for a period of 4 years and employed a prospective design with 76 individuals with femoral shaft fractures who underwent surgical treatment, wherein 40 were treated using cementless BHA and 36 with PFN. Evaluation included the HHS at the last follow-up, alongside recorded blood transfusion rates and surgery duration, statistically compared between the two groups. Results: The study involved elderly patients with intertrochanteric femur fractures (average age: 82.9 years). BHA and PFN groups had differing average ages (81.4 and 83.9 years, respectively). Follow-up durations were 18.6 months overall, 23.8 months for BHA, and 13.1 months for PFN. PFN showed advantages in surgery duration and blood transfusion rates. Adverse effects in BHA included 4 epidermal infections, while PFN had 2 epidermal infections and 2 instances of implant malfunction, resulting in extraction. PFN demonstrated a 5.5% cut-out rate. Conclusions: The study compares the outcomes of elderly patients with femoral shaft fractures treated with cementless BHA and PFN. The results indicate that PFN presents advantages over BHA in terms of shorter surgery duration and reduced blood transfusion rates. However, further research and extended review are warranted to draw definitive results about the superiority of either approach

Comprehensive Trend Analysis of Past Century Indian Summer Monsoon Rainfall and its Variability

The importance of rainfall for an agrarian economy like India is quite well known especially during the Indian summer monsoon months viz June through September Analysis of rainfall characteristics over the past century can present an idea of the variability of rainfall Variability of rainfall has been observed in intraseasonal as well as intra-annual time scale

An Intelligent Method Based Medical Image Compression

Compression methods are important in many medical applications to ensure fast interactivity through large sets of images (e.g. volumetric data sets, image databases), for searching context dependant images and for quantitative analysis of measured data. Medical data are increasingly represented in digital form. The limitations in transmission bandwidth and storage space on one side and the growing size of image datasets on the other side has necessitated the need for efficient methods and tools for implementation. Many techniques for achieving data compression have been introduced. Wavelet transform techniques currently provide the most promising approach to high-quality image compression, which is essential for Teleradiology. This paper presents an approach of intelligent method to design a vector quantizer for image compression. The image is compressed without any loss of information. It also provides a comparative study in the view of simplicity, storage space, robustness and transfer time of various vector quantization methods. The proposed approach presents an efficient method of vector quantization for image compression and application of SOFM

A PROSPECTIVE STUDY ON UNSUPERVISED REHABILITATION PROTOCOL AFTER ROTATOR CUFF REPAIR.

Abstract Background The postoperative rehabilitation following rotator cuff repair yields favourable outcomes; however, it necessitates a significant investment of both time and financial resources. The primary aim of this study was to evaluate the efficacy of a home-based rehabilitation protocol in the management of patients who underwent rotator cuff repair. Methods The present study utilized a prospective design to investigate a group comprising 84 individuals who underwent surgical intervention for rotator cuff repair. The participants were provided with detailed instructions regarding the exercise protocol, which they diligently executed within the confines of their individual residences. Results The average duration of follow-up was 14 months. The Visual Analogue Score (VAS) for pain demonstrated a significant improvement, with the preoperative mean of 7.3 decreasing to a follow-up mean of 1.2. Additionally, the Disability of the Arm, Hand, and Shoulder (DASH) score, assessed in a sample of 52 patients, exhibited notable enhancement, as the preoperative mean of 33.1 decreased to a follow-up mean of 4.4. Furthermore, an improvement in the range of motion was observed in a group of 78 patients. A total of 74 patients achieved complete reintegration into the workforce within a three-month timeframe. Conclusion Given that the patients are engaging in postoperative rehabilitation within the confines of their own residences, this approach serves to diminish financial burdens, mitigate time constraints associated with travel, and minimize susceptibility to external influences. Recommendation Limit home-based rehabilitation to well-evaluated cases without substantial tears, emphasizing optimal repair procedures for complex cases. Implement remote monitoring tools to track patient progress, ensuring adherence and early identification of potential issues. Conduct a thorough cost-benefit analysis to assess the economic advantages of home-based rehabilitation, considering reduced financial burdens and time constraints

A CROSS-SECTIONAL STUDY EVALUATION OF DIAGNOSTIC IMPLICATIONS OF PLATELET INDICES IN THROMBOCYTOPENIA.

Introduction: Thrombocytopenia (TCP) refers to a reduction of platelet count below 150 x 109/ L; it’s not a disease entity by itself, but a finding that may result from a number of disease processes. Automated hematology analyzers that determine the Mean Platelet Volume (MPV), Platelet Distribution Width (PDW), Plateletcrit (PCT), and Platelet Large Cell Ratio (P-LCR), could be very helpful to facilitate the differential diagnosis of thrombocytopenia and to monitor thrombocytopenic conditions. Materials and methods: A cross-sectional study of platelet indices of 512 thrombocytopenic samples by automated hematology analyzers was done. Results: The cases of thrombocytopenia were classified into hypo-productive (362 cases) and hyper-destructive (150) groups. A most common cause of hypo-productive and hyper-destructive thrombocytopenia was Aplastic anemia and ITP, respectively. All the indices were significantly higher (p-value < 0.05) in hyper-destructive TCP compared to hypo-productive TCP, except Plateletcrit. Conclusion: The results of the present study show platelet indices to be a useful and reliable test to differentiate between hyper-destructive thrombocytopenia from the hypo-productive type with statistically significant differences

Lupus vulgaris: a rare presentation of tuberculosis

70-80% of tuberculosis in children is pulmonary tuberculosis and the rest belong to the group of extra pulmonary tuberculosis, of which cutaneous TB is relatively uncommon. Here, we present a case of 10year old boy who was admitted in emergency paediatric department of MKCG medical college with complains of pain abdomen. On further examination and investigation was diagnosed as a case of Lupus vulgaris with SAIO

Fault detection in a centrifugal pump using vibration and motor current signature analysis

Due to growth of mechanisation and automation, today’s industrial systems are becoming more complex. A small breakdown of any non-redundant machine component affects the operation of the entire system. To increase the availability and reliability, automated health monitoring and self-diagnostic capability (SDC) becoming essential to many industrial machineries like pumps, motors, etc. Condition monitoring does not prevent the failure, but it can predict the possibility of future failure by measuring certain machine parameters. Though there are various condition monitoring techniques, vibration analysis and motor current signature analysis (MCSA) are most suitable for detection of faults and abnormalities in machine systems. This work attempts to develop an SDC framework and diagnose the impeller condition of a centrifugal pump using MCSA. Time and frequency domain analyses are done for different impeller conditions of the pump, such as normal impeller and defective impellers. Significant differences are observed and a fault prediction strategy is recommended.Peer reviewe