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The purpose of the current study was to analyze and validate the existing gap in knowledge, by conducting a differential expression analysis and validation of NEK6, NEK7, and NEK9 in breast, cervical, and glioblastoma cancer and targeting these proteins through development of novel site specific inhibitor with favorable pharmacokinetic and safety profile, using open-source databases. The analysis revealed that the targeted kinases were overexpressed in all three types of cancer. Their expression was significantly linked to overall survival rates, which suggests that they play a major role in the development and progression of these cancers. After, having the prognostic importance of These findings provided a rationale for synthesizing novel compound i.e., dimethyl 2,2’-((methylenebis(2-(2 H -benzo[d][1,2,3]triazol-2-yl)-4-(2,4,4-trimethylpentan-2-yl)-6,1phenylene))bis(oxy))diacetate (TAJ4)), capable of effectively targeting these proteins using in-vitro cytotoxicity assays and comprehensive computational approaches. Then the inhibitory potential of TAJ4 was evaluated against cell lines of the respective cancers (HeLa cells, MCF-7 cells, and Vero cells). The growth inhibitory values (GI 50 ) suggested that TAJ4 exhibited strong inhibitory potential towards MCF-7 cells (GI 50  = 3.18 ± 0.11 µM) in comparison to the HeLa cell line (GI 50  = 8.12 ± 0.43 µM), surpassing that of standard drugs. Furthermore, in-silico investigations, including density functional theory (DFT) calculations and molecular docking studies, revealed a substantial reactivity profile of TAJ4, with promising molecular interactions against NEK7, NEK9, TP53, NF-KAPPA-B, and caspase-3 proteins. Further investigation using in-vitro and in-vivo approaches is recommended to fully establish the therapeutic efficacy and safety profile of TAJ4.

The convenient synthetic strategy for the one-pot synthesis of silver nanoparticles capped by tartaric acid with a controlled size is reported here. Their characterization is revealed through spectroscopic protocols, such as UV/Vis and FTIR, while SEM, DLS and a Zetasizer revealed the surface morphology, size distribution and surface charge on the nanoparticles. The surface plasmon resonance (SPR) band was observed at 406 nm with 1.07 a.u absorbance, the image for SEM shows that the particles were monodispersed and spherical in shape, while the z-average size distribution of AgNPs/TA in a colloidal solution was found to be 79.20 nm and the surface charge was monitored as −28.2 mV. The antibacterial activities of these capped nanoparticles alone and in synergism with selected fluoroquinolones (ofloxacin, sparfloxacin, ciprofloxacin and gemifloxacin) and macrolides (erythromycin and azithromycin) were assessed on selected Gram-negative as well as Gram-positive organisms by employing the disc diffusion method. Antioxidant activity against the DPPH (1,1-diphenyl-2-picrylhydrazyl) was also evaluated using the standard assay method. The antibacterial activity of the antibiotics has been increased against studied microorganisms, showing the positive synergistic effect of the capped nanoparticles. A potential therapeutic application of AgNPs/TA in combination with antibiotics is determined from the results of the present research. These capped nanoparticles also possess good antioxidant activity and, therefore, can be used in various fields of biomedical sciences.

For classifying brain tumors with small datasets, the knowledge-based transfer learning (KBTL) approach has performed very well in attaining an optimized classification model. However, its successful implementation is typically affected by different hyperparameters, specifically the learning rate (LR), batch size (BS), and their joint influence. In general, most of the existing research could not achieve the desired performance because the work addressed only one hyperparameter tuning. This study adopted a Cartesian product matrix-based approach, to interpret the effect of both hyperparameters and their interaction on the performance of models. To evaluate their impact, 56 two-tuple hyperparameters from the Cartesian product matrix were used as inputs to perform an extensive exercise, comprising 504 simulations for three cutting-edge architecture-based pre-trained Deep Learning (DL) models, ResNet18, ResNet50, and ResNet101. Additionally, the impact was also assessed by using three well-known optimizers (solvers): SGDM, Adam, and RMSProp. The performance assessment showed that the framework is an efficient framework to attain optimal values of two important hyperparameters (LR and BS) and consequently an optimized model with an accuracy of 99.56%. Further, our results showed that both hyperparameters have a significant impact individually as well as interactively, with a trade-off in between. Further, the evaluation space was extended by using the statistical ANOVA analysis to validate the main findings. F-test returned with p < 0.05, confirming that both hyperparameters not only have a significant impact on the model performance independently, but that there exists an interaction between the hyperparameters for a combination of their levels.

Fatwa on Terrorism & Suicide Bombings is a distinctive and voluminous fatwa is an exhaustive study of what the Quran and Islamic sources have to say about the use of violence, terrorism and suicide bombing and is a categorical and unequivocal rejection of all acts of illegitimate violence, terrorism and every act of suicide bombing against all human beings, whether Muslim or non-Muslim.English version of the historic fatwa on terrorism and suicide bombings includes a foreword by Prof John Esposito (Georgetown University, Washington DC) an Introduction by Dr Joel Hayward (Royal Air Force College) and a validation by Al-Azhar University, Egypt who have supported this fatwa. Dr Tahir-ul-Qadri is a globally recognised authority on the law and spirit of Islam.Drawing on his deep, erudite insight into the life and teachings of the blessed Prophet Muhammad (peace be upon him) and fourteen centuries of Islamic scholarship, Shaykh-ul-Islam Dr Muhammad Tahir-ul-Qadri's 512-page, detailed fatwa demolishes the theological arguments advanced by terrorists in prisons, on websites, videos and their literature.

In recent times, technology has played an important role in almost every field as it advances. Law and order situation in the third world countries are extensively poor, and it is imperative to aid the institutions providing security by incorporating systems capable of identifying perpetrators and catch them. It is a well-known fact that security and surveillance industry is evolving, and most of the system are based on video surveillance rather than the basic alarm based solutions. Such systems are integrated with multiple cameras which provide live video surveillance features and in turn increases the visibility of the security systems. The Internet of Things (IOT) is helping to create an efficient security system capable of acquiring live video streams from multiple sensory sources. Due to the lack of available bandwidth, it may not be possible to acquire a video stream with decent quality. In this paper, a compression algorithm is proposed based on discrete cosine transform (DCT) and temporal reduction using motion vectors extracted from the incoming frames in order to achieve best compromise between quality and streaming time to properly indicate the perpetrator. Most of the time, it becomes impossible to seize the perpetrator due to the inferior video quality which makes him unidentifiable. Degraded video quality is mostly due to over compression. Implementation of the proposed algorithm is performed in MATLAB environment by acquiring the live video streams of the videos in real time. Mean Squared Error (MSE) and Peak Signal to Noise Ratio are calculated in order to elaborate the quality difference between the reconstructed frames by conventional means and with the incorporated Temporal Masking technique. By incorporating the proposed algorithm in the compression technique, it was discovered that it actually reduces the stream delay by 0.104 s with an acceptable Structural Similarity Index (SSIM) difference between the reconstructed frames acquired by conventional means and by proposed Temporal Masking Technique.

Transmission of video information from a submerged sensory source may lead to numerous applications such as surveillance, deep sea exploration, monitoring and repairing of underwater oil pipes etc. Such application requires a real time video transmission. It is obviously a challenging task to achieve efficient underwater video transmission because of the limited channel bandwidth and water is not a uniform medium due to which the transmitted signal is more error prone. Due to the limited spectrum, transmitted information must be compressed in a way that its quality does not deteriorate and at the same time, it must achieve low bit rate. In this regard, we propose an algorithm of temporal masking with Luma adjustment to reduce the video information for efficient transmission and reduce the need of over compression. Proposed algorithm is applied on the moving picture expert group (MPEG) video standard. A 2D-least mean squared adaptive filter (LMSAF) is embedded at the receiver end in order to reduce the effect of aquatic noises and further compensate the overall quality. Motion in the video sequence is exploited to extract motion vectors for temporal masking and also to achieve desired bit rate for acoustic applications. Structural Similarity Index Matrix (SSIM) acquired by implementing the proposed algorithm is 0.908 while the standard H.264/AVC was 0.925, but the compression ratio was reduced to 5.03 in comparison to 7.33, which clearly shows the significance of the proposed algorithm in reducing the information size.

The topic of love and non-violence in Islam, in an environment imbued with intolerance, extremism and terrorism, is very significant. This book portrays how loving humanity and eliminating violence are key in all the Islamic teachings and are evident in the conduct of Allah's exalted Messenger.Islam eliminated hatred through love, terrorism through peace and ignorance through knowledge. This book portrays how love, peace and knowledge form the very essence of Islam

Relations of Muslims and Non-Muslims focuses on dealing with questions and concerns regarding long-term and sustainable peaceful relations between Muslims and non-Muslims, in both Muslim majority countries and also western countries where Muslims live as minorities.The book is divided into two sections. The first section discusses individual and community relations, providing ample evidences for very important aspects in this regard. Muslims in their treatment of non-Muslims, bas a rule, are to ensure that all non-Muslims are secure in their lives and in their belongings. The book further illustrates howMuslims are to treat non-Muslims with piety and excellent social morality, and not as second class citizens or inferior beings.The second section of the book discusses the categories of abodes, making this work one of geopolitical relevance. Shaykh-ul-Islam Dr Muhammad Tahir-ul-Qadri provides evidences and nuanced interpretations of the concepts \"The Abode of Islam, The Abode of Reconciliation, The Abode of Treaty, The Abode of Peace, and The Abode of War.\" Clear definitions of these categories are offered, along with how different countries can and cannot be classified in each of these categories.This book presents a high standard of Islamic scholarship for Muslims and non-Muslims alike. Members of diverse communities may benefit by comparing their own viewpoints, perspectives, understandings, and opinions with this important work of an authentic scholarly standard.

The main focus of the book is upon consciously and proactivelyserving those in need, be they of any colour, creed or religion. In factIslam admonishes those who fail to see and address the needs of thepoor, weak, elderly, oppressed, orphans, widows, refugees, travellersand prisoners. Islam does not differentiate between Muslims or non-Muslims in this regard but treats it as it should be; a humanitarianissue which should be dealt with humanely without any prejudicesor hatred surfacing or dictating the course of assistance, help or aid.