Explore the vast range of titles available.

This study fills a research gap regarding the risks that religion, spirituality, and faith (RSF) pose to resilience in survivors of sex trafficking. Interpretative phenomenological analysis was conducted on data from 44 interviews with 38 survivors of sex trafficking drawn from a larger qualitative study to develop a constructivist grounded theory of resilience during and after trafficking. Twenty-three (58%) identified as Christian, with the remaining participants (n = 15; 42%) identifying with non-mainstream or individualized spiritualities. Participants named religious struggles, spiritual bypassing, exclusionary and oppressive religious beliefs, and injurious behaviors from Christian communities and service providers as sources of harm. The core phenomena of personal agency amidst divine intervention and spiritual power, and the indestructibility of faith and hope, enabled participants to nonetheless benefit from RSF as a source of resilience. Participants’ enumeration of strategies for managing, overcoming, and preventing the harms of RSF notably occurred primarily in the privacy of their personal religious practices, with neither secular nor faith-based service providers being helpful. Their insights and experiences call for service providers and faith actors to be equipped to support survivors’ spiritual strengths and address spiritual trauma and religious struggles, and to advance church culture and traditions for autonomy-affirming spiritual support and care.

Calcifying fibrous tumour of the pleura (CFTP) is a rare, benign soft tissue neoplasm with uncertain aetiology. To our knowledge, only 36 cases (including this case) have been reported in English literature. A man in his early 30s presented with an incidental pleural lesion identified following investigation for a persistent cough. Imaging revealed left pleural thickening with calcification, raising concern for a possible malignant pleural process. CT-guided biopsy demonstrated fibrosis without malignancy, and a video-assisted thoracoscopic surgery excision was performed. Histopathology confirmed multifocal CFTP. This case highlights the diagnostic challenges posed by pleural-based calcified lesions and reinforces the importance of surgical excision for both diagnosis and cure. The rarity of CFTPs, their benign course and their potential to mimic malignancy are discussed alongside a review of the current literature.

Thymectomy is performed for the treatment of myasthenia gravis (MG) and the removal of thymic lesions. Minimally invasive techniques such as video-assisted thoracoscopic surgery (VATS) have now become a standard of care for thymectomies. We present the case of a woman in her early 50s with non-thymomatous MG and left atrial isomerism. As part of left atrial isomerism, she had bronchial isomerism with no right middle lobe, hemiazygous vein continuation of the inferior vena cava, bilateral superior vena cavae and no left brachiocephalic vein. A bilateral VATS approach provided a safe and effective technique for the removal of the thymus and the patient was discharged on postoperative day 2. While considerations must be taken from both the anaesthetist (altered bronchial anatomy) and operator (aberrant venae cavae and brachiocephalic veins), minimally invasive techniques can provide an effective alternative to open thymectomy in patients with anomalous anatomy.

An image encryption technique using DNA (Deoxyribonucleic acid) operations and chaotic maps has been proposed in this paper. Firstly, the input image is DNA encoded and a mask is generated by using 1D chaotic map. This mask is added with the DNA encoded image using DNA addition. Intermediate result is DNA complemented with the help of a complement matrix produced by two 1D chaotic maps. Finally, the resultant matrix is permuted using 2D chaotic map followed by DNA decoding to get the cipher image. Proposed technique is totally invertible and it can resist known plain text attack, statistical attacks and differential attacks.

A comprehensive review of relevant clinical literature on evidence-based recommendations and existing prediction models specific to lung cancer surgery was undertaken. Preoperative risk assessment parameters such as pulmonary function tests (PFT), cardiopulmonary exercise testing (CPET), Brunelli models, Thoracoscore and frailty were analyzed for predicting postoperative risk of complications.When assessing fitness for surgery, the primarily used PFT parameters such as predictive postoperative forced expiratory volume in one second (FEV1) and diffusion capacity for carbon monoxide (DLCO ) showed conflicting evidence in determining a positive correlation with postoperative mortality. CPET variables predicted higher complication risk when VO2peak < 10ml/kg/min, AT < 11ml/kg/min and ventilation/carbon dioxide production (VE/VCO2) was in range of 34-40. While a cardiac risk index like the Thoracic Revised Cardiac Risk Index (ThRCRI) predicted major cardiovascular compromise, a thoracic risk index like Thoracoscore proved imprecise. Lastly, frailty is used to risk stratify patients in clinical practice but a recognized validated model specific to thoracic surgery is non-existent.When considering patients for lung cancer surgery, some dilemma exists regarding the accuracy of clinical prediction models and their external validation. There is a pressing need for the development of a consolidated clinically robust risk stratification model to predict complications after thoracic resections.

The Regolith and Ice Drill for Exploration of New Terrains (TRIDENT) is a 1 m class drill developed for capturing regolith and ice during the Volatiles Investigating Polar Exploration Rover (VIPER) and the Polar Resources Ice Mining Experiment (PRIME-1) lander missions to the south pole of the Moon. The drill employs decoupled rotation and percussion mechanisms to allow for three modes: rotation, percussion, and rotation–percussion, depending on operational goals and the material strength. TRIDENT can be operated in such a way that it can characterize subsurface material and deliver cuttings to the surface for characterization by other instruments. TRIDENT includes a drill-bit-integrated temperature sensor and an auger-integrated heater with a colocated temperature sensor 35 cm above the bit for thermal conductivity measurement. The heater can also be used in cases of ice adherence (freezing in) and to enhance the sublimation of ice from the cuttings pile. TRIDENT collects and delivers subsurface regolith onto the surface using a “bite” sampling approach: cuttings are captured in the auger flutes, the auger is retracted after drilling a 10 cm bite, and then 10 cm worth of cuttings are deposited onto the surface, forming a cuttings cone. This regolith cone is then analyzed by instruments Mass Spectrometer Observing Lunar Operations (MSOLO) and NIRVSS on the VIPER and MSOLO on the PRIME-1 missions. The drilling activity creates a seismic signal that can be detected on any associated inertial measurement unit that is turned on during the activity, which enables seismic science. TRIDENT represents two decades of technology development for planetary applications and could be deployed on any future missions to other solar system bodies. TRIDENT on the PRIME-1 mission has been successfully deployed in horizontal orientation (this orientation was due to the lander being in an off nominal landing orientation). All actuators, sensors, and heaters worked as designed. Even though the drill did not penetrate regolith, it was covered in regolith that fell onto the drill during the landing operation. VIPER is scheduled to launch to the Moon at the end of 2027 on Blue Origin’s Mk1 lander.

Handwritten character recognition is a challenging problem which received attention because of its potential benefits in real-life applications. It automates manual paper work, thus saving both time and money, but due to low recognition accuracy it is not yet practically possible. This work achieves higher recognition rates for handwritten isolated characters using Deep learning based Convolutional neural network (CNN). The architecture of these networks is complex and plays important role in success of character recognizer, thus this work experiments on different CNN architectures, investigates different optimization algorithms and trainable parameters. The experiments are conducted on two different types of grayscale datasets to make this work more generic and robust. One of the CNN architecture in combination with adadelta optimization achieved a recognition rate of 97.95%. The experimental results demonstrate that CNN based end-to-end learning achieves recognition rates much better than the traditional techniques.

In this paper, a Convolutional Neural Network (CNN) based crowd abnormality detection model in video sequences is proposed. The model has two convolution layers, two Fully Connected (FC) layers in which 1st FC layer uses Rectified Linear Unit (ReLU) and the 2nd uses sigmoid function as activation functions. Both convolution layers consist of a convolution operator followed by ReLU and the max-pooling layer. Intermediate convolutional layers produce features that are used to detect the abnormality in the video frame. The performance of the proposed model has been evaluated based on three parameters – Receiver Operator Characteristic (ROC) curve, Area Under the Curve (AUC), and Equal Error Rate (EER). Three scientific datasets have been used, consisting of several video sequences with various normal and abnormal activities. Experimental results show that the proposed CNN model performs better for all datasets compared with other similar methods in literature and achieves a maximum of near 100% sensitivity through the ROC curve for one dataset. Further, the average AUC value for the UCSD dataset (Ped1 and Ped2) is close to 98% and 95% for the Avenue dataset. The average EER for the UCSD dataset (Ped1 and Ped2) is near 10% and 11.5% for the Avenue dataset. Moreover, the model has also been evaluated for a couple of random YouTube videos of abnormal behavior, and it gives satisfactory results.

Mucormycosis is an aggressive, fatal fungal infection. The fungal organisms are ubiquitous and easily affect immunocompromised patients. The main aim of this article is to emphasize over the knowledge of different diagnostic methods (diagnostic nasal endoscopy, ct/ contrast mri pns + orbit + brain, Wet KOH mount), the importance of practising an aggressive surgical resection, medical treatments (liposomal amphotericin B, amphotericin gel, tablet posaconazole, nasal douching, retrorbital amphotericin injection), suction cleaning and regular follow up of the patient after surgical management. This can greatly help in minimizing the recurrence of mucormycosis even in immunocompromised patients in a population. The study performed was a prospective study conducted from April 2021 to July 2021 in which we included 500 patients who presented to the OPD & Department of ENT or Emergency Department of Maharaja Yashwantrao Hospital with complaints suggestive of mucormycosis. The patients who were surgically fit were operated. Out of the 500 patients who were diagnosed with Mucormycosis, from April 2021 to July 2021 complete cure was achieved in 456 patients( 91.2%) and only 44 patients (8.8%) have shown recurrence due to various causes (specially those who did not came for regular follow up). Rhinorbital was the most common site to be involved. In the study it was found that most of the patients which showed recurrence were male, post covid and immunocompromised. Diabetes mellitus was found to be most common among immunocompromised patients. The recurrence in patients with mucormycosis can be minimise by educating the masses regarding importance of public and personal hygiene, and multidisciplinary management with regular follow up offers a better approach to treat this life-threatening condition. The study shows the importance of clinical diagnosis, concurrent surgical treatment, medical treatment, post op care, suction cleaning and regular follow up advice. It is necessary us to take the step forward in this regard, so that in the future we will be better prepared for such type of epidemic.