Multicriteria decision making attributes and estimation of physicochemical properties of kidney cancer drugs via topological descriptors.

Based on topological descriptors, QSPR analysis is an incredibly helpful statistical method for examining many physical and chemical properties of compounds without demanding costly and time-consuming laboratory tests. Firstly, we discuss and provide research on kidney cancer drugs using topological indices and done partition of the edges of kidney cancer drugs which are based on the degree. Secondly, we examine the attributes of nineteen drugs casodex, eligard, mitoxanrone, rubraca, and zoladex, etc and among others, using linear QSPR model. The study in the article not only demonstrates a good correlation between TIs and physical characteristics with the QSPR model being the most suitable for predicting complexity, enthalpy, molar refractivity, and other factors and a best-fit model is attained in this study. This theoretical approach might benefit chemists and professionals in the pharmaceutical industry to forecast the characteristics of kidney cancer therapies. This leads towards new opportunities to paved the way for drug discovery and the formation of efficient and suitable treatment options in therapeutic targeting. We also employed multicriteria decision making techniques like COPRAS and PROMETHEE-II for ranking of said disease treatment drugs and physicochemical characteristics.

COVID-19 and Its Impact on Back Pain in the Eastern Province of Saudi Arabia.

Background Low back pain (LBP) is a common musculoskeletal condition that affects individuals worldwide, causing difficulties in daily tasks and social interactions. It can be categorized based on chronicity, with acute, subacute, and chronic forms. The causes of backache vary among patients and can include inflammatory conditions, radiculopathy, pregnancy, trauma, osteoporosis, nerve root compression, cancer, plexopathy, infection, and other spinal diseases. Aim The aim is to investigate the association between COVID-19 infection and LBP between all Saudi adults and foreign adults who had positive COVID-19 tests in the eastern region of Saudi Arabia. Methods A cross-sectional study was conducted in the Eastern Province of Saudi Arabia over the period from March 2023 to August 2023. Participants were selected by using a convenience sampling method, a sample (n=500) of individuals. The structured questionnaire was used to gather information on sociodemographic variables and COVID-related features. All the statistical calculations were performed using the SPSS software (by IBM) version 29.0.0. Results 482 participants completed the questionnaire. Out of 482 participants, the majority were females with a number of 372 (77.2%) aged between 20 and 29 years (38.4%). Out of the remaining participants, 110 (22.8%) were males. Most of the participants with a number of 301 (62.4%) were from the Hasa province. This was followed by Qatif (79, 16.4%), Dammam (56, 11.6%), Jubail (25, 5.2%), and others (21, 4.4%). The study revealed that 10.1% of participants reported experiencing back pain. The duration of backaches varied among respondents, with 122 (25.3%) experiencing them from a day to a week, 28 (5.8%) enduring them for six weeks, and 65 (13.5%) reporting a duration of six to 12 weeks. The majority, comprising 267 (55.4%) respondents, were uncertain about the period of their backaches. The prevalence of COVID-19 infection among the participants was 357 (74.1%), and 477 (99.0%) had been vaccinated against COVID-19. Approximately 44.4% of the participants experienced back pain, and out of those, 28.2% reported having pain during quarantine. Among the individuals with back pain, 24.7% attributed it to COVID-19. Conclusion This study highlights the significant correlation between back pain and COVID-19, even after the resolution of other symptoms. It underscores the importance of further research into the long-term effects and mechanisms of this association. The findings emphasize the need for healthcare professionals to consider back pain as a potential aspect of the post-COVID-19 symptom profile, ensuring comprehensive care for affected individuals.

Chlorine-Rich Na6-xPS5-xCl1+x: A Promising Sodium Solid Electrolyte for All-Solid-State Sodium Batteries.

Developing argyrodite-type, chlorine-rich, sodium-ion, solid-state electrolytes with high conductivity is a long-term challenge that is crucial for the advancement of all-solid-state batteries (ASSBs). In this study, chlorine-rich, argyrodite-type Na6-xPS5-xCl1+x solid solutions were successfully developed with a solid solution formation range of 0 ≤ x ≤ 0.5. Na5.5PS4.5Cl1.5 (x = 0.5), displaying a highest ionic conductivity of 1.2 × 10-3 S/cm at 25 °C, which is more than a hundred times higher than that of Na6PS5Cl. Cyclic voltammetry and electrochemical impedance spectroscopy results demonstrated that the rich chlorine significantly enhanced the ionic conductivity and electrochemical stability, in addition to causing a reduction in activation energy. The Na5.5PS4.5Cl1.5 composite also showed the characteristics of a pure ionic conductor without electronic conductivity. Finally, the viability of Na5.5PS4.5Cl1.5 as a sodium electrolyte for all-solid-state sodium batteries was checked in a lab-scale ASSB, showing stable battery performance. This study not only demonstrates new composites of sodium-ionic, solid-state electrolytes with relatively high conductivity but also provides an anion-modulation strategy to enhance the ionic conductivity of argyrodite-type sodium solid-state ionic conductors.

Assessing indoor positioning system: A q-spherical fuzzy rough TOPSIS analysis.

This study investigates advanced data collection methodologies and their implications for understanding employee and customer behavior within specific locations. Employing a comprehensive multi-criteria decision-making framework, we evaluate various technologies based on four distinct criteria and four technological alternatives. To identify the most effective technological solution, we employ the q-spherical fuzzy rough TOPSIS method, integrating three key parameters: lower set approximation, upper set approximation, and parameter q (where q ≥ 1). Our novel approach combines the TOPSIS method with q-spherical fuzzy rough set theory, providing deeper insights into data-driven decision-making processes in corporate environments. By comparing our proposed framework with existing multi-criteria decision-making methodologies, we demonstrate its strength and competitiveness. This research contributes to enhancing decision-making capabilities in corporate settings and beyond.

A novel fusion of genetic grey wolf optimization and kernel extreme learning machines for precise diabetic eye disease classification.

In response to the growing number of diabetes cases worldwide, Our study addresses the escalating issue of diabetic eye disease (DED), a significant contributor to vision loss globally, through a pioneering approach. We propose a novel integration of a Genetic Grey Wolf Optimization (G-GWO) algorithm with a Fully Convolutional Encoder-Decoder Network (FCEDN), further enhanced by a Kernel Extreme Learning Machine (KELM) for refined image segmentation and disease classification. This innovative combination leverages the genetic algorithm and grey wolf optimization to boost the FCEDN's efficiency, enabling precise detection of DED stages and differentiation among disease types. Tested across diverse datasets, including IDRiD, DR-HAGIS, and ODIR, our model showcased superior performance, achieving classification accuracies between 98.5% to 98.8%, surpassing existing methods. This advancement sets a new standard in DED detection and offers significant potential for automating fundus image analysis, reducing reliance on manual examination, and improving patient care efficiency. Our findings are crucial to enhancing diagnostic accuracy and patient outcomes in DED management.

Primary leiomyosarcoma of thyroid with pulmonary metastasis: A diagnostic odyssey.

The presented primary thyroid leiomyosarcoma (TL) case report underscores the importance of recognizing and addressing the diagnostic challenges and management complexities associated with this exceedingly rare malignancy. Given the limited effective therapeutic strategies available, timely intervention, thorough diagnostics, and vigilant follow-up are paramount in managing such intricate tumors. Further research focusing on molecular-based treatment modalities is imperative to improve patient outcomes in cases of primary TL.

Utilizing sine trigonometric q-spherical fuzzy rough aggregation operators for group decision-making and their role in digital transformation.

q-spherical fuzzy rough set (q-SFRS) is also one of the fundamental concepts for addressing more uncertainties in decision problems than the existing structures of fuzzy sets, and thus its implementation was more substantial. The well-known sine trigonometric function maintains the periodicity and symmetry of the origin in nature and thus satisfies the expectations of the experts over the multi-parameters. Taking this feature and the significance of the q-SFRSs into consideration, the main objective of the article is to describe some reliable sine trigonometric laws for SFSs. Associated with these laws, we develop new average and geometric aggregation operators to aggregate the q-spherical fuzzy rough numbers. Then, we presented a group decision-making strategy to address the multi-attribute group decision-making problem using the developed aggregation operators. To verify the value of the defined operators, a MAGDM strategy is provided along with applications for selecting a Cloud Service Provider and a Digital Transformation Vendor for digital transformation. Moreover, a comparative study is also performed to present the effectiveness of the developed approach.

Developing a membrane-proximal CD33-targeting CAR T cell.

BACKGROUND: CD33 is a tractable target in acute myeloid leukemia (AML) for chimeric antigen receptor (CAR) T cell therapy, but clinical success is lacking. METHODS: We developed 3P14HLh28Z, a novel CD33-directed CD28/CD3Z-based CAR T cell derived from a high-affinity binder obtained through membrane-proximal fragment immunization in humanized mice. RESULTS: We found that immunization exclusively with the membrane-proximal domain of CD33 is necessary for identification of membrane-proximal binders in humanized mice. Compared with clinically validated lintuzumab-based CAR T cells targeting distal CD33 epitopes, 3P14HLh28Z showed enhanced in vitro functionality as well as superior tumor control and increased overall survival in both low antigen density and clinically relevant patient-derived xenograft models. Increased activation and enhanced polyfunctionality led to enhanced efficacy. CONCLUSIONS: Showing for the first time that a membrane-proximal CAR is superior to a membrane-distal one in the setting of CD33 targeting, our results demonstrate the rationale for targeting membrane-proximal epitopes with high-affinity binders. We also demonstrate the importance of optimizing CAR T cells for functionality in settings of both low antigen density and clinically relevant patient-derived models.

Lactobacillus as probiotics: opportunities and challenges for potential benefits in female reproductive health.

The growing interest of the scientific community in the study of probiotics has gathered valuable data about its beneficial effects for multiple clinical conditions. This data also provides evidence for the functions and properties of probiotics and how they contribute to health benefits by influencing normal microbiota. Lactobacillus is an important genus which has long been utilized in the food industry and is also found as normal oral, intestinal and vaginal microbiota. Lactobacillus has shown multiple health benefits but its relative importance as a probiotic is majorly explored for gastrointestinal health. Healthy vaginal microbiota typically harbors Lactobacillus spp. providing several health benefits for female reproductive health, but there is more data required in order to compare the relative benefits with probiotic Lactobacillus added through either natural food sources or with standard probiotics supplements. The present article discusses the current status of knowledge about vaginal Lactobacillus as a probiotic and also compares the potential of probiotics from natural sources and through supplements along with recent approaches in this area.

A Paradigm Shift in Non-Small-Cell Lung Cancer (NSCLC) Diagnostics: From Single Gene Tests to Comprehensive Genomic Profiling.

Lung cancer imposes a burden on the health care system worldwide affecting 2 million people and causing 1.8 million deaths in 2021.More than 85% of all lung cancer cases are reported under Non-small-cell lung cancer (NSCLC). It is critical to discover gene alterations to treat non-small cell lung cancer successfully. The CAP/IASLC/AMP recommendations supported use of polymerase chain reaction (PCR) and fluorescent in situ hybridization (FISH) EGFR (epidermal growth factor receptor) mutations and ALK (Anaplastic lymphoma kinase) rearrangements, respectively. A study presented in the annual meeting of the American Society of Clinical Oncology (ASCO) in Chicago emphasized the need for comprehensive genomic profiling (CGP) before single gene tests (SGTs) since it demonstrated that SGT can result in the depletion of precious biopsy samples. As a result, the efficacy of thorough genetic Profiling (CGP) is reduced, preventing patients from receiving valuable genetic information about their tumors.

Comparison of Partial Meniscectomy With Meniscal Repair With Respect to Functional Outcome.

Introduction Meniscus tear is a commonly encountered sports-related injury requiring surgical intervention due to knee mobility dysfunction and discomfort. Previously, it has been thought that these are non-functional vestigial structures and they used to be excised commonly. Recent studies have shown that meniscal repair gives superior results when compared with partial meniscectomy. Methods This quasi-experimental study was conducted at the Orthopedics Department, Khyber Teaching Hospital, Peshawar, Pakistan. A total of 92 patients of both genders with meniscal injuries were included. Forty-six of them underwent meniscal repair (Group A), and 46 underwent partial meniscectomy (Group B). Functional outcome was noted after 12 weeks and recorded. Results The age range was from 18 to 50 years with a mean of 28.630±6.64 years in Group A and 29.630±8.12 years in Group B. Functional outcome was excellent in 44 (95.7%) patients who underwent meniscal repair as compared to 23 (50%) patients who underwent partial meniscectomy (P= 0.000). Conclusion It is concluded that meniscal repair should be pursued over partial meniscectomy when surgically treating meniscal tears.

Incidence of Helminthic and Viral Coinfections in Malaria Patients in the Tertiary Care Hospital Setup.

Introduction: This study determines the incidence of common viral and helminth coinfections with malaria in the tertiary care hospital set up in southern Khyber Pakhtunkhwa, Pakistan. Materials and Methods: The multidimensional research included malaria patients admitted to different hospitals of district Kohat during January and December 2021. Stool samples and blood were assembled from the patients. Giemsa-stained microscopy-positive samples were processed by the immunochromatography technique (ICT) to identify Plasmodium species. Common viral infections such as viral hepatitis (A, B, and C), HIV, and dengue (DENV) were analyzed by ICT kits while SARS-CoV-2 was confirmed through real-time PCR. Furthermore, the intestinal helminths were identified using the Kato-Katz thick smear method. Results: Among 1278 patients, 548 were diagnosed with malaria, 412 (75.2%) were positive for P. vivax infection, 115 (21%) for P. falciparum, and 21 (3.8%) for mixed malaria infection (P. vivax/P. falciparum), with a higher incidence among males (65.2%) than females (34.8%). Coinfection with helminths was positive in 215 (39.3%) malaria patients. The most common infections were caused by the Ascaris lumbricoides species (42.6%) followed by Enterobius vermicularis (31.7%) and hookworm. A total of 24.6% of malaria-positive cases were also coinfected with different viruses with higher frequencies of confection for HAV (8.2%) and DENV (6.2%), respectively. The patients revealed higher incidence of coinfections with P. falciparum (57%) as compared with P. vivax (39.2%) and mixed infections (3.7%). Conclusion: This study demonstrated that the study population exhibited a significant incidence of coinfections with intestinal helminth and viral malaria.

Repressive H3K27me3 drives hyperglycemia-induced oxidative and inflammatory transcriptional programs in human endothelium.

BACKGROUND: Histone modifications play a critical role in chromatin remodelling and regulate gene expression in health and disease. Histone methyltransferases EZH1, EZH2, and demethylases UTX, JMJD3, and UTY catalyse trimethylation of lysine 27 on histone H3 (H3K27me3). This study was designed to investigate whether H3K27me3 triggers hyperglycemia-induced oxidative and inflammatory transcriptional programs in the endothelium. METHODS: We studied human aortic endothelial cells exposed to high glucose (HAEC) or isolated from individuals with diabetes (D-HAEC). RT-qPCR, immunoblotting, chromatin immunoprecipitation (ChIP-qPCR), and confocal microscopy were performed to investigate the role of H3K27me3. We determined superoxide anion (O2-) production by ESR spectroscopy, NF-κB binding activity, and monocyte adhesion. Silencing/overexpression and pharmacological inhibition of chromatin modifying enzymes were used to modulate H3K27me3 levels. Furthermore, isometric tension studies and immunohistochemistry were performed in aorta from wild-type and db/db mice. RESULTS: Incubation of HAEC to high glucose showed that upregulation of EZH2 coupled to reduced demethylase UTX and JMJD3 was responsible for the increased H3K27me3. ChIP-qPCR revealed that repressive H3K27me3 binding to superoxide dismutase and transcription factor JunD promoters is involved in glucose-induced O2- generation. Indeed, loss of JunD transcriptional inhibition favours NOX4 expression. Furthermore, H3K27me3-driven oxidative stress increased NF-κB p65 activity and downstream inflammatory genes. Interestingly, EZH2 inhibitor GSK126 rescued these endothelial derangements by reducing H3K27me3. We also found that H3K27me3 epigenetic signature alters transcriptional programs in D-HAEC and aortas from db/db mice. CONCLUSIONS: EZH2-mediated H3K27me3 represents a key epigenetic driver of hyperglycemia-induced endothelial dysfunction. Targeting EZH2 may attenuate oxidative stress and inflammation and, hence, prevent vascular disease in diabetes.

Genetic Susceptibility Variants of Vascular Dementia among Asians: A Systematic Review and Meta-Analysis.

INTRODUCTION: Vascular dementia (VaD), a neurocognitive impairment directly related to vascular injury, is the second most common cause of age-related dementia. Although numerous studies have investigated candidate genetic polymorphisms associated with VaD in Asia, the genetics of VaD remains unclear. METHODS: This review provides an updated meta-analysis of genetic polymorphisms associated with VaD in Asians, using the PRISMA guidelines. Published literature up to May 2021 was extracted from the PubMed, Scopus, Ovid, and EBSCO host databases. Meta-analysis was conducted using the Open Meta analyst, Review Manager, and MedCalc® Statistical Software. Trial sequential analysis (TSA) was performed using TSA viewer software. RESULTS: A total of 46 eligible studies, comprising 23 genes and 35 SNPs, were retrieved. The meta-analysis was conducted on the following genetic polymorphisms, APOE ε2/3/4, MTHFR rs1801131, ACE rs4340 (I/D) gene polymorphism, and a PSEN1 intron 8 variant. The pooled ORs revealed a significant increase in the risk of VaD in the Apolipoprotein E (APOE) ε4 allelic model: OR, 1.79, p<0.001), and the methylenetetrahydrofolate reductase (MTHFR) rs1801133 polymorphism T allele in the allelic model (OR, 1.23, p=0.013). CONCLUSION: Our findings provide evidence that genetic polymorphisms of the APOE ε4 allele and MTHFR rs1801133 T allele increase the risk of developing VaD in Asians. However, future large-scale investigations examining particularly on South-Eastern and West-Asian populations are highly recommended.

Stimulatory effects of smoke solution and biogas digestate slurry application on photosynthesis, growth, and methylation profiling of solanum tuberosum.

Biostimulants are obtained from various sources like plants, animals, microorganisms, and industrial by-products as well as waste material. Their utilization in agriculture practices is being increased that is giving positive results. The purpose of the current study was to use plant-derived smoke (SMK) solution and biogas digestate (BGD) slurry as biostimulant to elucidate their impact on potato (Solanum tuberosum) performance. The experiment was conducted in lab as well as field conditions, and SMK and BGD solutions were prepared in varying concentrations such as SMK 1:500, SMK 1:250, BGD 50:50, and BGD 75:25. Foliar applications were performed thrice during experiments and data were collected related to photosynthesis, growth, pigments, and genome-wide methylation profiling. Net photosynthesis rate (A) and water use efficiency (WUE) were found higher in SMK- and BGD-treated lab and field grown plants. Among pigments, BGD-treated plants depicted higher levels of Chl a and Chl b while SMK-treated plants showed higher carotenoid levels. Alongside, enhancement in growth-related parameters like leaf number and dry weight was also observed in both lab- and field-treated plants. Furthermore, DNA methylation profile of SMK- and BGD-treated plants depicted variation compared to control. DNA methylation events increased in all the treatments compared to control except for SMK 1:500. These results indicate that smoke and slurry both act as efficient biostimulants which result in better performance of plants. Biostimulants also affected the genome-wide DNA methylation profile that resultantly might have changed the plant gene expression profiling and played its role in plant responsiveness to these biostimulants. However, there is need to elucidate a possible synergistic effect of SMK and BGD on plant growth along with gene expression profiling.

Ethnopharmacological uses of fauna among the people of central Punjab, Pakistan.

Introduction: The utilization of fauna and fauna-based byproducts in ethnomedicinal usages has been a longstanding human activity, practiced across various cultures worldwide. This study focuses on investigating the utilization of animal-based traditional medicine by the people of Pakistan, specifically in the Gujranwala area. Methods: Data collection took place from January to September 2019 through interviews with local communities. Ethnomedicinal applications of animal products were analyzed using several indices, including Relative Frequency of Citation (RFC), Relative Popularity Level (RPL), Folk Use Value (FL), and Relative Occurrence Percentage (ROP). Results: The study identified the use of different body parts of 54 species of animals in treating various diseases and health issues. These include but are not limited to skin infections, sexual problems, pain management (e.g., in the backbone and joints), eyesight issues, immunity enhancement, cold, weakness, burns, smallpox, wounds, poisoning, muscular pain, arthritis, diabetes, fever, epilepsy, allergies, asthma, herpes, ear pain, paralysis, cough, swelling, cancer, bronchitis, girls' maturity, and stomach-related problems. Certain species of fauna were noted by informers with high "frequency of citation" (FC), ranging from 1 to 77. For instance, the black cobra was the most frequently cited animal for eyesight issues (FC = 77), followed by the domestic rabbit for burn treatment (FC = 67), and the Indus Valley spiny-tailed ground lizard for sexual problems (FC = 66). Passer domesticus and Gallus gallus were noted to have the highest ROP value of 99. Discussion: The findings of this study provide valuable preliminary insights for the conservation of fauna in the Gujranwala region of Punjab, Pakistan. Additionally, screening these animals for medicinally active compounds could potentially lead to the development of novel animal-based medications, contributing to both traditional medicine preservation and modern pharmaceutical advancements.

Establishing superfine nanofibrils for robust polyelectrolyte artificial spider silk and powerful artificial muscles.

Spider silk exhibits an excellent combination of high strength and toughness, which originates from the hierarchical self-assembled structure of spidroin during fiber spinning. In this work, superfine nanofibrils are established in polyelectrolyte artificial spider silk by optimizing the flexibility of polymer chains, which exhibits combination of breaking strength and toughness ranging from 1.83 GPa and 238 MJ m-3 to 0.53 GPa and 700 MJ m-3, respectively. This is achieved by introducing ions to control the dissociation of polymer chains and evaporation-induced self-assembly under external stress. In addition, the artificial spider silk possesses thermally-driven supercontraction ability. This work provides inspiration for the design of high-performance fiber materials.

An efficient and compromise-resilient image encryption scheme for resource-constrained environments.

The secret keys produced by current image cryptosystems, which rely on chaotic sequences, exhibit a direct correlation with the size of the image. As the image dimensions expand, the generation of extensive chaotic sequences in the encryption and decryption procedures becomes more computationally intensive. Secondly, a common problem in existing image encryption schemes is the compromise between privacy and efficiency. Some existing lightweight schemes reveal patterns in encrypted images, while others impose heavy computational burdens during encryption/decryption due to the need for large chaotic sequences. In this study, we introduce a lightweight image encryption scheme that involves partitioning the image into uniformly sized tiles and generating a chaotic sequence accordingly. This approach diminishes the necessity to create extensive chaotic sequences equal to the tile size, which is significantly smaller than the original image. As a result, it alleviates the processing burden associated with generating sequences equivalent to the original image size. The results confirm that our proposed scheme is lightweight and secure compared to the latest state-of-the-art image encryption schemes. Additionally, sensitivity analysis demonstrates that the proposed image encryption technique, with a UACI value of 33.48 and NPRC value of 99.96, affirms its resistance to differential attacks.

Prevalence of crimean Congo hemorrhagic fever in Khyber Pakhtunkhwa, Pakistan.

BACKGROUND: CCHFV is well recognized as a major public health threat and its prevalence and epidemiological distribution in Pakistan and specifically in KP province is not well documented. METHODS: We used a gold-standard PCR-based diagnostic assay for confirmation of CCHFV among suspected patients. A total of 150 patients were enrolled from June 2022 to September 2022 and their blood samples were collected for PCR confirmation. RESULTS: The overall positivity rate for CCHFV was 26.67 %, with the virus mostly prevalent in the middle-aged group (21-40 years). In the July of 2022, a significant spike in the prevalence of CCHFV was observed in provincial capital Peshawar with the highest burden (31.57 %). CONCLUSION: Our findings indicate the necessity of strengthening CCHFV monitoring programs and intensifying efforts to identify hotspot regions for effective surveillance and control of CCHFV. The months before the Eid-ul-Adha are crucial in the context of CCHFV control.