Performance enhancement of short-term wind speed forecasting model using Realtime data.

The ever-increasing demand for electricity has presented a grave threat to traditional energy sources, which are finite, rapidly depleting, and have a detrimental environmental impact. These shortcomings of conventional energy resources have caused the globe to switch from traditional to renewable energy sources. Wind power significantly contributes to carbon-free energy because it is widely accessible, inexpensive, and produces no harmful emissions. Better and more efficient renewable wind power production relies on accurate wind speed predictions. Accurate short-term wind speed forecasting is essential for effectively handling unsteady wind power generation and ensuring that wind turbines operate safely. The significant stochastic nature of the wind speed and its dynamic unpredictability makes it difficult to forecast. This paper develops a hybrid model, L-LG-S, for precise short-term wind speed forecasting to address problems in wind speed forecasting. In this research, state-of-the-art machine learning and deep learning algorithms employed in wind speed forecasting are compared with the proposed approach. The effectiveness of the proposed hybrid model is tested using real-world wind speed data from a wind turbine located in the city of Karachi, Pakistan. Moreover, the mean square error (MSE), root mean square error (RMSE), and mean absolute error (MAE) are used as accuracy evaluation indices. Experimental results show that the proposed model outperforms the state-of-the-art legacy models in terms of accuracy for short-term wind speed in training, validation and test predictions by 98% respectively.

Attention-based deep convolutional neural network for classification of generalized and focal epileptic seizures.

Epilepsy affects over 50 million people globally. Electroencephalography is critical for epilepsy diagnosis, but manual seizure classification is time-consuming and requires extensive expertise. This paper presents an automated multi-class seizure classification model using EEG signals from the Temple University Hospital Seizure Corpus ver. 1.5.2. 11 features including time-based correlation, time-based eigenvalues, power spectral density, frequency-based correlation, frequency-based eigenvalues, sample entropy, spectral entropy, logarithmic sum, standard deviation, absolute mean, and ratio of Daubechies D4 wavelet transformed coefficients were extracted from 10-second sliding windows across channels. The model combines multi-head self-attention mechanism with a deep convolutional neural network (CNN) to classify seven subtypes of generalized and focal epileptic seizures. The model achieved 0.921 weighted accuracy and 0.902 weighted F1 score in classifying focal onset non-motor, generalized onset non-motor, simple partial, complex partial, absence, tonic, and tonic-clonic seizures. In comparison, a CNN model without multi-head attention achieved 0.767 weighted accuracy. Ablation studies were conducted to validate the importance of transformer encoders and attention. The promising classification results demonstrate the potential of deep learning for handling EEG complexity and improving epilepsy diagnosis. This seizure classification model could enable timely interventions when translated into clinical practice.

Investigation of Photoluminescence and Optoelectronics Properties of Transition Metal-Doped ZnO Thin Films.

Thin films of zinc oxide (ZnO) doped with transition metals have recently gained significant attention due to their potential applications in a wide range of optoelectronic devices. This study focuses on ZnO thin films doped with the transition metals Co, Fe, and Zr, exploring various aspects of their structural, morphological, optical, electrical, and photoluminescence properties. The thin films were produced using RF and DC co-sputtering techniques. The X-ray diffraction (XRD) analysis revealed that all the doped ZnO thin films exhibited a stable wurtzite crystal structure, showcasing a higher structural stability compared to the undoped ZnO, while the atomic force microscopy (AFM) imaging highlighted a distinctive granular arrangement. Energy-dispersive X-ray spectroscopy was employed to confirm the presence of transition metals in the thin films, and Fourier-transform infrared spectroscopy (FTIR) was utilized to investigate the presence of chemical bonding. The optical characterizations indicated that doping induced changes in the optical properties of the thin films. Specifically, the doped ZnO thin film's bandgap experienced a significant reduction, decreasing from 3.34 to 3.30 eV. The photoluminescence (PL) analysis revealed distinguishable emission peaks within the optical spectrum, attributed to electronic transitions occurring between different bands or between a band and an impurity. Furthermore, the introduction of these transition metals resulted in decreased resistivity and increased conductivity, indicating their positive influence on the electrical conductivity of the thin films. This suggests potential applications in solar cells and light-emitting devices.

Morphological, Photoluminescence, and Electrical Measurements of Rare-Earth Metal-Doped Cadmium Sulfide Thin Films.

This work is aimed at investigating the viability of utilizing cadmium sulfide (CdS) as a buffer layer in CdTe solar cells by analyzing and assessing its optical, photoluminescence, morphological, and electrical properties. These films were fabricated using a thermal coating technique. Optical microscopy was used to observe the changes in morphology resulting from the doping of rare-earth metals such as samarium (Sm) and lanthanum (La) to CdS, while the granular-like structure of the sample was confirmed by scanning electron microscopy. The objective of incorporating Sm and La ions into CdS was to enhance photoconductivity and optimize the optical bandgap, aiming to create a viable charge transport material for photovoltaic devices with enhanced efficiency. Through that process, a noticeable decrease in transmission, from approximately 80 to 68% in the visible region, was observed. Additionally, the bandgap value was reduced from 2.43 to 2.27 eV. Furthermore, during the analysis of the photoluminescence spectra, it was observed that emission peaks occurred in the visible region. These emissions were attributed to electronic transitions that took place via band-to-band and band-to-impurity interactions. The electrical measurements showed an enhancement in conductivity due to the decrease in the bandgap. This notable consequence of the doped materials suggests their utilization in photovoltaic systems.

Diagnostic performance of multiparametric MRI based Vesical Imaging-Reporting and Data System (VI-RADS) scoring in discriminating between non-muscle invasive and muscle invasive bladder cancer.

Purpose: The purpose of the present study was to assess the diagnostic accuracy of the Vesical Imaging-Reporting and Data System (VI-RADS) scoring system in predicting muscle infiltration of bladder cancer (BC) on a pre-operative multiparametric magnetic resonance imaging (mpMRI). Methods: The prospective study enrolled patients with bladder lesions detected on a preliminary ultrasonography or cystoscopy. The patients underwent mpMRI on a 3T MRI scanner followed by surgery within 2 weeks. The tumours were assigned a VI-RADS score by 2 experienced abdominal radiologists. The VI-RADS score was compared with postoperative histopathological findings to confirm detrusor muscle infiltration. The diagnostic performance of VI-RADS for predicting muscle invasion was assessed by calculating sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy. Results: A total of 60 patients were included in the study with a male: female ratio of 4.4 : 1. Transurethral resection of bladder tumour (TURBT) was performed in 47 (78.4%) and radical cystectomy in 13 (21.6%) patients. 19 (31.7%) had non-muscle invasive invasive BC (NMIBCa) and 41 (68.3%) had muscle invasive BC (MIBCa) on histopathology. There was a significant association between VI-RADS score and its components with muscle invasion (p < 0.05). A VI-RADS score of ≥ 3 had a sensitivity of 97.56% (95% CI: 0.87-0.99%), specificity of 73.68% (95% CI: 0.49-0.91), positive predictive value of 88.9% (95% CI: 0.79-0.94), negative predictive value of 93.33% (95% CI: 0.66-0.99), and diagnostic accuracy of 90% (95% CI: 0.80-0.96) for prediction of muscle invasion. Conclusion: VI-RADS scoring system pre-operatively predicts the likelihood of muscle invasion in BC with a satisfactory diagnostic performance, and it should be incorporated in the diagnostic work-up of BC patients.

Optimal designing of grid-connected microgrid systems for residential and commercial applications in Pakistan.

Conventional energy sources (CESs) are currently serving most of the global energy demands, but they will be substantially depleted as moving towards the end of this decade. The generation of electricity from such sources is causing the emission of greenhouse gases that is resulting in deleterious effect on the environment along with changing climatic and energy patterns of the planet. Therefore, the world is heading toward decentralization, and microgrids are playing a key role in this process. The advantages of renewables, which are acknowledged globally as benign, eco-friendly, economical, and inexhaustible resources available worldwide, are to credit for such a massive surge in the utilization of renewable resources in microgrid technology. Despite having an enormous renewable energy potential, Pakistan spends a sizable portion of its budget on energy imports of coal, oil, and liquefied natural gas, however, with good planning, current energy crises might be eliminated or at least mitigated to a greater extent, assuring energy security, economic prosperity, and lower carbon emissions inside the country. This study considers the optimal component planning in a grid-connected microgrid with five objectives to achieve that are to reduce the cost of energy, increase the renewable share, cut greenhouse gas emissions, enhance the reliability of power supply and to make electricity generation sustainable in the long run for the country. Different solar PV capacities are tested against the energy cost, renewable share and emission of greenhouse gases in order to attain the trade-off. The cost of energy is minimized by 92.47%, renewable share rises to 85%, and CO2 emissions are decreased by 48% for residential application. In the case of commercial application, however, the cost of energy is lowered by 48.52%, the renewable energy share rises to 71.1%, and CO2 emissions are reduced by 61% through incorporating solar PV into the current power system.

Numerical optimization and performance evaluation of ZnPC:PC70BM based dye-sensitized solar cell.

The increase in global energy consumption and the related ecological problems have generated a constant demand for alternative energy sources superior to traditional ones. This is why unlimited photon-energy harnessing is important. A notable focus to address this concern is on advancing and producing cost-effective low-loss solar cells. For efficient light energy capture and conversion, we fabricated a ZnPC:PC70BM-based dye-sensitized solar cell (DSSC) and estimated its performance using a solar cell capacitance simulator (SCAPS-1D). We evaluated the output parameters of the ZnPC:PC70BM-based DSSC with different photoactive layer thicknesses, series and shunt resistances, and back-metal work function. Our analyses show that moderate thickness, minimum series resistance, high shunt resistance, and high metal-work function are favorable for better device performance due to low recombination losses, electrical losses, and better transport of charge carriers. In addition, in-depth research for clarifying the impact of factors, such as thickness variation, defect density, and doping density of charge transport layers, has been conducted. The best efficiency value found was 10.30% after tweaking the parameters. It also provides a realistic strategy for efficiently utilizing DSSC cells by altering features that are highly dependent on DSSC performance and output.

The MRI of Lumbar Vertebral Canal in Low Back Pain: A Cross-Sectional Study.

Background The imaging of the lumbar canal is an important aspect of low back pain (LBP) management. Magnetic resonance imaging (MRI) has gained widespread acceptance for the evaluation of spine anatomy. Objective The objective of the study is to compare the MRI findings of the anteroposterior diameter, transverse diameter, and thecal sac area of the lumbar vertebral canal in symptomatic low back pain patients to that of patients without low back pain. Methods The cross-sectional study included 200 subjects of which 100 subjects (49 males and 51 females) were symptomatic cases of low back pain and 100 subjects (53 males and 47 females) had no symptoms of low back pain and were enrolled as controls. The MRI scans were studied for the anteroposterior diameter, transverse diameter, and thecal sac area of the lumbar vertebral canal. Results In our study, the anteroposterior diameter of the lumbar vertebral canal among cases was found to have a mean of 14.42, 14.09, 13.44, 13.63, and 13.79 with a standard deviation (SD) of 1.25, 1.32, 1.75, 1.75, and 2.65 at L1, L2, L3, L4, and L5 levels, respectively. The anteroposterior diameter of the lumbar vertebral canal among controls was found to have a mean of 15.26, 15.16, 14.71, 14.68, and 15.28 with an SD of 1.60, 1.67, 1.30, 1.36, and 1.97 at L1, L2, L3, L4, and L5 levels, respectively. The difference in anteroposterior diameters of the lumbar vertebral canal was found to be statistically significant at each level, between cases and controls. The transverse diameter of the vertebral canal was found to be smaller in cases as compared to controls with a statistically significant difference at each of the levels studied. The thecal sac area of the vertebral canal was found to be less in subjects with low back pain at each of the vertebral levels studied. Conclusion The study results provide insight into the lumbar vertebral parameters in the study population and give comparative data among the symptomatic low back pain patients and control subjects without low back pain. The MRI reflected decreased anteroposterior diameter, transverse diameter, and thecal sac area of the lumbar vertebral canal among symptomatic low back pain patients.

Effectiveness Of Intrathecal Dexmedetomidine In Combination With Hyperbaric Bupivacaine For Lower Abdominal Surgeries And Its Postoperative Analgesic Characteristic.

Background: Intra-thecal anaesthesia is the commonly preferred, block for surgeries of lower abdomen, perineal and lower limb. It is easy to administer and very economical but needs skills. Intrathecal use of local anaesthetics possesses a short duration of action and needs early use of rescue analgesia postoperatively. Objective was to assess the efficacy of Dexmedetomidine in adjuvant with bupivacaine for neuraxial anaesthesia and postoperative analgesic characteristics. It was a prospective comparative study, conducted at Anaesthesia Department, Liaquat National Hospital, Karachi from January to July 2020. Methods: Overall 100 patients conveniently recruited who underwent lower abdominal procedures were allocated into two groups by randomization, i.e., 50 in each group and were labelled as Group N and Group D10. Group N consist of 0.5% bupivacaine 10 mg (2 ml) + diluted with 0.5ml normal saline dilution and group D10 consist of 10 µg Dexmedetomidine + 0.5% bupivacaine 10 mg (2 ml) with 0.5 ml normal saline dilution, total 2.5 ml dose in each group. The duration of block and regression was evaluated. . Results: The study showed significant differences in sensory and motor block to reach T10 and Bromage 3 respectively. Patients who were assigned in Group D reported short onset of sensory to reach T10 (5.4±1.17) and motor to reach Bromage 3 (10.4±1.03) as compared to Group N (9.9±2.12 and 17±22) respectively. Participants of Group D required rescue analgesia in less amount throughout intervals as compare to group N. Conclusion: The usage of 10ug Dexmedetomidine adjuvant with 0.5% bupivacaine significantly reduced the onset on sensory T10 and motor Bromage 3 and also prolong duration of sensory and motor regression, moreover minimal adverse effects and less use of rescue analgesic drugs were observed.

A Study of the Structural and Surface Morphology and Photoluminescence of Ni-Doped AlN Thin Films Grown by Co-Sputtering.

Aluminum nitride (AlN) is a semiconductor material possessing a hexagonal wurtzite crystal structure with a large band gap of 6.2 eV. AlN thin films have several potential applications and areas for study, particularly in optoelectronics. This research study focused on the preparation of Ni-doped AlN thin films by using DC and RF magnetron sputtering for optoelectronic applications. Additionally, a comparative analysis was also carried out on the as-deposited and annealed thin films. Several spectroscopy and microscopy techniques were considered for the characterization of structural (X-ray diffraction), morphological (SEM), chemical bonding (FTIR), and emission (PL spectroscopy) properties. The XRD results show that the thin films have an oriented c-axis hexagonal structure. SEM analysis validated the granular-like morphology of the deposited sample, and FTIR results confirm the presence of chemical bonding in deposited thin films. The photoluminescence (PL) emission spectra exhibit different peaks in the visible region when excited at different wavelengths. A sharp and intense photoluminescence peak was observed at 426 nm in the violet-blue region, which can be attributed to inter-band transitions due to the incorporation of Ni in AlN. Most of the peaks in the PL spectra occurred due to direct-band recombination and indirect impurity-band recombination. After annealing, the intensity of all observed peaks increases drastically due to the development of new phases, resulting in a decrease in defects and a corresponding increase in the crystallinity of the thin film. The observed structural, morphological, and photoluminescence results suggest that Ni: AlN is a promising candidate to be used in optoelectronics applications, specifically in photovoltaic devices and lasers.

Tailoring TiO2/Al2O3 heterolayers as optical filters for the visible region.

Optical filters operating in the visible region of the spectrum are highly desired for applications ranging from optical communication and sensing to fluorescence microscopy and skin therapy. However, complex fabrication procedures and/or inferior performance, limit the practical applications of previously reported thin-film-based optical filters. Herein, we describe the structual design concepts and facile fabrication of vertically stacked heterolayers of TiO2/Al2O3 to obtain a bandpass filter and a longwave pass edge filter operating in the spectral range 410-600 nm and 400-597 nm, respectively. The optical filters are designed according to MacLeod simulation and fabricated via magnetron sputtering, depositing alternative stacks of low (Al2O3) and high (TiO2) refractive index materials with different thicknesses, as confirmed by spectroscopic ellipsometry. Owing to a reasonable matching between the design and the fabrication, our developed TiO2/Al2O3 heterolayer optical filters exhibited 54.60% transmission for 7-layer longwave pass edge filter and 15% reflectance for 14-layer bandpass filter of a selective set of wavelengths (400-800 nm).

Unified DeepLabV3+ for Semi-Dark Image Semantic Segmentation.

Semantic segmentation for accurate visual perception is a critical task in computer vision. In principle, the automatic classification of dynamic visual scenes using predefined object classes remains unresolved. The challenging problems of learning deep convolution neural networks, specifically ResNet-based DeepLabV3+ (the most recent version), are threefold. The problems arise due to (1) biased centric exploitations of filter masks, (2) lower representational power of residual networks due to identity shortcuts, and (3) a loss of spatial relationship by using per-pixel primitives. To solve these problems, we present a proficient approach based on DeepLabV3+, along with an added evaluation metric, namely, Unified DeepLabV3+ and S3core, respectively. The presented unified version reduced the effect of biased exploitations via additional dilated convolution layers with customized dilation rates. We further tackled the problem of representational power by introducing non-linear group normalization shortcuts to solve the focused problem of semi-dark images. Meanwhile, to keep track of the spatial relationships in terms of the global and local contexts, geometrically bunched pixel cues were used. We accumulated all the proposed variants of DeepLabV3+ to propose Unified DeepLabV3+ for accurate visual decisions. Finally, the proposed S3core evaluation metric was based on the weighted combination of three different accuracy measures, i.e., the pixel accuracy, IoU (intersection over union), and Mean BFScore, as robust identification criteria. Extensive experimental analysis performed over a CamVid dataset confirmed the applicability of the proposed solution for autonomous vehicles and robotics for outdoor settings. The experimental analysis showed that the proposed Unified DeepLabV3+ outperformed DeepLabV3+ by a margin of 3% in terms of the class-wise pixel accuracy, along with a higher S3core, depicting the effectiveness of the proposed approach.

A Cross-Sectional Evaluation of Vitamin D Status and Ovarian Reserve Markers in Subfertile Women: A Single-Center Experience From Pakistan.

Objectives This study was conceived with the objective of assessing the correlation between ovarian reserve markers and vitamin D deficiency (VDD) in a selected group of Pakistani subfertile women presenting at a specialized subfertility treatment centre. The measurements of antral follicle count (AFC), serum anti-Müllerian hormone (AMH), serum follicle-stimulating hormone (FSH), and serum vitamin D (VD) levels were the main tools used for the assessment of ovarian reserve. Materials and methods All female patients aged 18 to 45 years presenting with primary and/or secondary subfertility at the Australian Concept Medical Centre in Karachi, Pakistan from August 2016 to July 2021 were included in the study. The data of all eligible patients were recorded in the pre-defined Performa designed for this study. The Kruskal-Wallis test was applied to report the distribution of the data. The correlation between the categorical variables (25-hydroxyvitamin D [25-OHD] levels with AFC and AMH) was assessed using the chi-square test and Spearman correlation. The comparison was based on vitamin D levels grouped into three categories: deficiency (<20 ng/ml), insufficiency (21-29 ng/ml), and sufficiency (>30 ng/ml). Results One hundred ninety-nine cases were evaluated for AFC and hormone analysis. The mean age and BMI were 32.87±5.49 years and 28.27±4.97 kg/m2.VDD was noted in 127 (68.4%) cases. No significant difference was noted across BMI, age, duration of subfertility, AMH, and FSH across the VD categories. Moreover, a poor correlation was noted between VD, AMH and FSH on the scatter plot, between VD and FSH (r = -0.003, p = 0.966) and between VD and AMH (r = -0.068, p = 0.342), respectively. Conclusions This study showed a high frequency of VDD in Pakistani subfertile women, from a specialized subfertility center in the largest metropolis in the country. However, a statistically significant association was not found between the markers of ovarian reserve and VD, showing no ethnic differences in the native Pakistani population. Hence, VD supplementation is unlikely to have an impact on correcting the ovarian reserve status in subfertile women in Pakistan. However, this is a potential area of interest, and evaluation of other indices of reproduction/ovarian reserve and the effect of confounders is required to test this hypothesis longitudinally.

Content-Aware SLIC Super-Pixels for Semi-Dark Images (SLIC++).

Super-pixels represent perceptually similar visual feature vectors of the image. Super-pixels are the meaningful group of pixels of the image, bunched together based on the color and proximity of singular pixel. Computation of super-pixels is highly affected in terms of accuracy if the image has high pixel intensities, i.e., a semi-dark image is observed. For computation of super-pixels, a widely used method is SLIC (Simple Linear Iterative Clustering), due to its simplistic approach. The SLIC is considerably faster than other state-of-the-art methods. However, it lacks in functionality to retain the content-aware information of the image due to constrained underlying clustering technique. Moreover, the efficiency of SLIC on semi-dark images is lower than bright images. We extend the functionality of SLIC to several computational distance measures to identify potential substitutes resulting in regular and accurate image segments. We propose a novel SLIC extension, namely, SLIC++ based on hybrid distance measure to retain content-aware information (lacking in SLIC). This makes SLIC++ more efficient than SLIC. The proposed SLIC++ does not only hold efficiency for normal images but also for semi-dark images. The hybrid content-aware distance measure effectively integrates the Euclidean super-pixel calculation features with Geodesic distance calculations to retain the angular movements of the components present in the visual image exclusively targeting semi-dark images. The proposed method is quantitively and qualitatively analyzed using the Berkeley dataset. We not only visually illustrate the benchmarking results, but also report on the associated accuracies against the ground-truth image segments in terms of boundary precision. SLIC++ attains high accuracy and creates content-aware super-pixels even if the images are semi-dark in nature. Our findings show that SLIC++ achieves precision of 39.7%, outperforming the precision of SLIC by a substantial margin of up to 8.1%.

The role of Ifosfamide-doxorubicin chemotherapy in histology-specific, high grade, locally advanced soft tissue sarcoma, a 14-year experience.

PURPOSE: To compare long-term outcomes of high-grade, primary soft-tissue-sarcoma (STS), using Ifosfamide-Doxorubicin vs local therapy alone, in histology-specific sarcomas. METHODS: Retrospective analysis was performed on 127 patients from 2005 to 2018, with high-grade STS of extremity or trunk, >5 cm, that were either Synovial-Cell, Dedifferentiated-Liposarcoma (DDL), Myxofibrosarcoma, Round-Cell-Liposarcoma (RCLS), Undifferentiated-Pleomorphic-Sarcoma (UPS), or Undifferentiated-Sarcoma-not-otherwise-specified (US-NOS), with central pathology review. Ifosfamide-Doxorubicin was generally given neoadjuvant over 5 cycles, followed by radiation and wide excision, with chemotherapy given in 38 patients, while 89 received local therapy alone. Multi-variable-analysis (MVA) of prognostic factors was performed, and local-recurrence-free-survival (LRFS), distant-metastases-free-survival (DMFS), disease-specific-survival (DSS), and overall-survival (OS) were estimated using Kaplan-Meier, and adjusted using propensity-score matching. RESULTS: Median follow-up was 4.5 years. Younger age (p < 0.0001) and Synovial histology (p = 0.0002) were more likely to undergo chemotherapy. Ifosfamide-Doxorubicin improved 5-year DMFS (p = 0.02), DSS (p = 0.01), and OS (p = 0.01), by univariate comparisons, as well as sub-analysis of non-synovial histology, but significance was lost after propensity-score matching for DMFS (p = 0.10), DSS (p = 0.09), and OS (p = 0.07). Size >10 cm, trunk location, and lack of chemotherapy significantly lowered DMFS, DSS, and OS on MVA, while DDL had more favorable survival; although size, trunk location, and DDL histology were not significantly different between treatment groups. Ifosfamide-Doxorubicin independently improved DMFS (p = 0.001), DSS (p = 0.01), and OS (p = 0.001) on MVA. CONCLUSION: Ifosfamide-Doxorubicin may be more beneficial in younger patients with >5 cm, high-grade, STS of the trunk or extremity in Synovial-Cell, DDL, Myxofibrosarcoma, RCLS, UPS, and US-NOS.

Dissection of an Ulnar Nerve Previously Transposed and Wrapped with Human Amniotic Membrane: A Report of 3 Cases.

CASES: We present 3 patients who underwent ulnar nerve transposition and wrapping of the nerve with human amniotic membrane (HAM). All 3 patients subsequently required a reoperation for the original pathologic condition (not for ulnar nerve symptoms), necessitating the exploration and dissection of the transposed ulnar nerve. We demonstrate the lack of scar formation and ease of separation between nerve and surrounding tissue, as well as histology in one case taken from the perineural tissues (previous amniotic membrane), demonstrating no inflammatory cells or absence of scar tissue formation. CONCLUSION: Exploration and dissection of a previously transposed ulnar nerve can be facilitated by wrapping the nerve with HAM to prevent scarring and perineural fibrosis.

Migrated Intravesical Intrauterine Contraceptive Devices: A Case Series and a Suggested Algorithm for Management.

Introduction Intrauterine contraceptive devices (IUCD) are a commonly used, reversible, contraceptive method. Complications from insertion rarely include migration into the bladder. We report on two cases of intravesical migrated IUCD and present an algorithm for management based on recently published data. Materials and Methods The case records of two patients who underwent surgical procedures for migrated IUCD into the bladder were reviewed. A Pubmed search was performed to identify similar studies. A total of 25 papers met the criteria for inclusion. Results Both cases were managed with laparotomy and partial cystectomy. A review of literature suggests recently reported cases of IUCD migration are rising, with most cases having been reported in the last decade. Bladder calculus developing over the migrated IUCD is the most common presentation. Most cases have been managed using endourological techniques. A small number of cases have required open vesicolithotomy or laparoscopic surgery. Rarely, laparotomy has been required.  Discussion IUCD migration into the bladder remains rare, however, recently the number of reported cases has risen. A thorough physical examination and radiological evaluation are warranted. Management is surgical in all cases. Most cases can be managed with endourological techniques. A treatment algorithm has been suggested in this paper based on recent data. Conclusion With the rising use of contraception worldwide, the incidence of IUCD migration is possibly going to increase. Treating doctors need to be aware of the possible complications that may arise from a migrated IUCD, including bladder calculi.

Toxicity evaluation of pesticide chlorpyrifos in male Japanese quails (Coturnix japonica).

In the current study, chlorpyrifos was used as a test chemical to evaluate its possible toxicological effect on birds. A total of 45 adult male Japanese quails were divided into five groups (A to E). Each group, containing 9 birds was further divided into 3 sub-groups (containing 3 birds each). Group A served as control, while all other groups and sub-groups were exposed to selected pesticide for different trial periods. Chlorpyrifos sub-lethal doses were orally administered daily at the rate of 3, 6, 9, and 12 mg/kg body weight per day to group B, C, D, and E, respectively. Birds were kept under observation for behavioral changes throughout the trial periods. Clinical signs, histological alterations, genotoxicity, and blood biochemical alterations were recorded after each 15-day trial. Mild to moderate clinical signs like staggering gait, tremors, diarrhea, dullness, less frequency of crowing, and decrease foam production were observed in group D and E throughout the study. The changes in the body weight gain and blood biochemical parameters among different groups at a given trial period were insignificant. The appearance of micronuclei in group E birds was more significant, indicating that nucleus damage was dose-dependent while to lesser extent duration-dependent. The comet assay showed significant dose- and duration-dependent DNA damage among various groups. In comparison with control group, extensive histological degenerative alterations in the liver, testes, and kidneys were observed in birds of group D and E, where mild to severe alteration like congestion, vacuolation, necrosis, apoptosis, karyopyknosis, extensive degeneration, and alteration in many cellular structures were noticeable.

From Dyspepsia to Diagnosis: A Rare Gastric Subepithelial Lesion Definitively Diagnosed via Endoscopic Submucosal Dissection and Immunohistochemistry.

INTRODUCTION: Peripheral nerve sheath tumors, known as perineuriomas, are typically found on the trunk and extremities. They are less commonly described in the gastrointestinal tract (GI), and extremely rarely are described in the stomach. CASE PRESENTATION: We present a case of a 2-cm gastric perineurioma in a 42-year-old patient with nonspecific GI complaints of chronic dyspepsia and epigastric discomfort. Esophagogastroduodenoscopy, followed by endoscopic ultrasound, revealed a 2-cm umbilicated lesion in the stomach, which was subsequently removed with endoscopic submucosal dissection and sent for pathology. Immunohistochemical staining revealed a rare entity known as a gastric perineurioma. CONCLUSION: Since the first case of gastric perineurioma was first described in 2004, there have only been 4 reported cases in the English literature. This case highlights the crucial interdisciplinary multidisciplinary effort between pathologists and GI specialists required to reach this diagnosis and showcases endoscopic diagnosis using endoscopic dissection, which allows for complete lesion resection and complete resolution of the patient's symptoms.