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Abstract Background Routine childhood immunization against varicella-zoster virus has led to a dramatic reduction in the incidence of primary varicella. However, there are rare, yet significant cases reported of reactivated Oka-strain varicella, primarily in immunocompromised hosts. Case presentation A 16-year-old female with Hodgkin’s lymphoma developed a vesicular rash shortly after completing all chemotherapy treatment. Swabs obtained from the vesicles were positive for varicella-zoster virus. By the time of hospitalization, the patient developed a disseminated rash involving multiple dermatomes. Subsequent polymerase chain reaction confirmed Oka vaccine-strain varicella-zoster virus. The patient had previously received a primary series of immunizations against varicella in 2008 and 2012, with her 2nd dose given 11 years prior to her development of vaccine-strain herpes zoster and 10 years prior to her diagnosis of Hodgkin’s lymphoma, respectively. The patient was treated with parenteral acyclovir upon hospitalization and monitored clinically for cutaneous disease progression as well as sequelae. After 8 days of inpatient treatment, her rash had stopped spreading with no new lesions. All earlier lesions had crusted over. No serious sequelae of disease such as pneumonitis, hepatitis, encephalitis, or meningitis occurred, and she made a complete recovery. Conclusions There are individual and community-wide benefits to childhood immunization against varicella. This case highlights an unusual presentation of disseminated vaccine-strain herpes zoster in an adolescent with secondary immunodeficiency 11 years after completing primary immunization. In addition, this case informs pediatricians of complications that can arise in immunized subjects if they become immunosuppressed years later. The only way to distinguish between wild-type and vaccine-strain herpes zoster was by viral genotyping. Providers should be cognizant of potential vaccine virus reactivation in their differential. Considerations for work-up and management should include infection control and viral resistance in refractory cases.

Abstract This study investigated residual levels of carbosulfan and its metabolites in date palm fruit in the UAE using HPLC-MS/MS and QuEChERS method. The method demonstrated excellent linearity (R2 > 0.998), low LOD (0.001–0.04 μg/kg) and LOQ (0.003-0.1 μg/kg), and high recoveries (92-103%) with low RSD values (1–9%). The matrix effect was negligible (-16.43–17.09%), and uncertainty measurements did not exceed the 50% limit. Carbosulfan was present in all samples, exceeding its MRL in 46% of the samples. Carbofuran and 3-hydroxycarbofuran exceeded their MRL in 4.87% and 40% of the samples, respectively, while 3-ketocarbofuran levels were below the MRL. Dibutylamine was found in 82% of the samples, with an average concentration of 9.01 µg/kg. The health risk assessment for children and adults showed that all HQ values were below the safety limit of 1.0, indicating that date consumption poses no adverse health risks for either adults or children.

Abstract Most autoinflammatory diseases are caused by mutations in innate immunity genes. Previously, four variants in the RHO GTPase CDC42 were discovered in patients affected by syndromes generally characterized by neonatal-onset of cytopenia and auto-inflammation, including hemophagocytic lymphohistiocytosis and rash in the most severe form (NOCARH syndrome). However, the mechanisms responsible for these phenotypes remain largely elusive. Here, we show that the recurrent p.R186C CDC42 variant, which is trapped in the Golgi apparatus, elicits a block in both anterograde and retrograde transports. Consequently, it favours STING accumulation in the Golgi in a COPI-dependent manner. This is also observed for the other Golgi-trapped p.*192 C*24 CDC42 variant, but not for the p.Y64C and p.C188Y variants that do not accumulate in the Golgi. We demonstrate that the two Golgi-trapped CDC42 variants are the only ones that exhibit overactivation of the STING pathway and the type I interferon response, and elicit endoplasmic reticulum stress. Consistent with these results, patients carrying Golgi-trapped CDC42 mutants present very high levels of circulating IFNα at the onset of their disease. In conclusion, we report further mechanistic insights on the impact of the Golgi-trapped CDC42 variants. This increase in STING activation provides a rationale for combination treatments for these severe cases.

Abstract Violence risk is a major challenge among acute psychiatric inpatients. The study aimed to predict violent behavior risk in an acute psychiatric ward using video recordings from the emergency department. 69 videos of the emergency department recording the first ten minutes following patients’ arrivals were included. Psychiatrists watched the videos, completed relevant Brief Psychiatric Rating Scale items and answered intuitive questions about each patient’s risk of violence. Demographic and clinical data were also collected. Motoric mannerisms as rated in the BPRS significantly differed between violent and non-violent patients (p

Abstract Background Endometriosis is a prevalent disease among women worldwide, including the Middle East. Insufficient knowledge about the disease causes delayed diagnosis which could result in major complications, particularly infertility. Thus, being aware of the symptom’s aids in prompt diagnosis and treatment. Furthermore, no research has been done in Lebanon to assess the Lebanese women’s knowledge about endometriosis. Aim To determine the understanding and concerns of Lebanese women about endometriosis which aids in identifying knowledge gaps and misconceptions so that they can be addressed. Methods A cross-sectional study was conducted between February and March 2024 among Lebanese females, who completed the authors’ online questionnaire assessing knowledge and concern about endometriosis and its associated symptoms, Multivariable logistic regression analysis was used to explore the relationship between score of knowledge and different characteristics of patients. Results A survey of 725 Lebanese women (mean age 32.5 years, SD = 9.5) revealed low knowledge (25.9%) about endometriosis origin, symptoms, and treatment. Over 60% were unaware of endometriosis symptoms, while 9.9% mistakenly believed menstrual cramps indicated the disease. Younger age (

Abstract Objective Maintaining normothermia is crucial for neonatal survival, especially in preterm infants prone to temperature instability. This study evaluates the correlation and variability between axillary and rectal temperatures at Neonatal Intensive Care (NICU) admission across gestational age ranges of 23–28, 29–32, 33–36, and ≥ 37 weeks, aiming to inform improved neonatal thermal management strategies. Methods This cross-sectional study was conducted at King Abdulaziz Medical City, Riyadh, from October 2023 to April 2024, involving 160 infants. Admission temperatures were measured using digital thermometers. Data analysis included ANOVA/Kruskal-Wallis for continuous variables, Chi-square tests for categorical data, Bland-Altman method for agreement assessment, and Pearson correlation coefficients to evaluate temperature correlations. Results Mean axillary temperature increased from 36.4 °C in the 23–28 weeks gestational group, to 36.5 °C in the 29–32 weeks group, and to 36.7 °C in the 33–36 weeks and ≥ 37 weeks groups, (p = 0.033). Rectal temperature increased from 36.5 °C in the 23–28 weeks group, to 36.6 °C in the 29–32 weeks group, and reached 36.8 °C in both the 33–36 weeks and ≥ 37 weeks groups (p = 0.006). Notable differences between measurement methods were observed in the 33–36 and ≥ 37 weeks groups (p

Background: In computer science research, there is a constant pursuit of more efficient methods to handle large datasets. This requires the development of software that is both robust and easy to use. MATLAB, a powerful computational tool, has become essential in this field. Objective: This article aims to analyse the use of MATLAB in computer science, specifically in processing intricate data. It will emphasise the software's graphical user interface (GUI) creation tools and computational powers. The purpose is to illustrate the effective and seamless management of complicated data processing tasks utilising the MATLAB environment. Methodology: The technique entails creating a graphical user interface (GUI) using GUIDE and App Designer, followed by a comprehensive analysis of MATLAB's computational capabilities pertinent to computer science data processing. This approach efficiently merges MATLAB's processing capabilities with intuitive user interfaces via its deployment across various data processing jobs. Results: Based on the findings, data processing processes are much more efficient and easily accessible today. The study showcases the utilization of user-friendly interfaces to carry out intricate computations, aiming to accommodate users with diverse levels of programming proficiency. Conclusion: The article indicates that combining MATLAB's powerful computational tools with its GUI development features provides a solid answer for complex data processing difficulties in computer science. This symbiotic relationship enhances the accessibility of sophisticated data processing to a larger population by simplifying the management of large volumes of data.

By 2030, it is projected that over 60% of the global population will use AI-powered applications, signifying a widespread integration of AI into our daily lives. While this advancement in technology offers substantial prospects, it also triggers growing concerns over its impact on personal welfare. The increasing prevalence of AI technology used by malevolent cyberattackers poses a significant threat to individual security. The article explores the convergence of AI technology and personal safety, analyzing the risks associated with AI-driven cyber-crimes and proposing potential solutions. This report examines several artificial intelligence (AI) technologies and evaluates their vulnerabilities, highlighting statistics such as the 90% prevalence of human error in cyberattacks in 2022. Through a comprehensive analysis of existing defensive tactics, the research introduces a multidimensional structure for improving individual safety. This paradigm integrates legislative frameworks, technological solutions, and instructional activities, fostering a complete approach that addresses the problem from several angles. The proposed framework places user empowerment as the top priority via the implementation of cybersecurity education. Equipping individuals with the requisite knowledge and skills to safeguard themselves on the internet is crucial in diminishing their vulnerability to AI-fueled attacks. Practical recommendations are offered to individuals, policymakers, and technology companies to mitigate the security risks associated with artificial intelligence proactively. This article contributes to the significant discourse on ensuring the safeguarding of personal privacy and security in the age of artificial intelligence. By advocating for a holistic approach that includes legal, technical, and educational elements, it establishes the groundwork for a future that places human welfare as a top priority while still advancing technology.

Background: Traditional blockchains used in IoT applications are prone to limitations and weaknesses as a result of their unchangeable nature. In contrast, contextual blockchain adjusts its behaviour dynamically by including real-time environmental characteristics such as temperature, humidity, and location. The aforementioned dynamic technique improves the dependability, expandability, and accuracy of data in IoT networks. Objective: The article aims to conduct a comprehensive analysis of Contextual Blockchain, including its structure, methods of reaching agreement, and practical applications. This article explores many scenarios where the adaptability of Contextual Blockchain provides benefits, such as in supply chain management, environmental monitoring, and smart cities. Methodology: The article examines the privacy and security elements of Contextual Blockchain, with a specific emphasis on its ability to reduce new cyber dangers in the Internet of Things. By conducting the empirical study, we illustrate how ambient circumstances may actively enhance the optimisation of Distributed Ledger Technology (DLT), hence improving the context awareness, security, and efficiency of Internet of Things (IoT) applications. Results: Contextual Blockchain provides a viable solution for incorporating blockchain technology into the Internet of Things (IoT), effectively addressing several obstacles that conventional blockchain solutions encounter in IoT settings. Conclusion: Contextual Blockchain offers a unique method to enhance the interoperability between blockchain technology and the Internet of Things (IoT), leading to new opportunities for breakthroughs in security and innovation in many sectors. This study contributes significantly to the development of a more secure and efficient future by emphasising the need for flexibility and context-awareness in the constantly evolving field of Internet of Things (IoT) technology.

Background: Urban traffic demands efficient management solutions to reduce congestion and improve flow. Traditional traffic signal systems, mostly static, struggle to track urban activity. Objective: This article uses IoT technologies, Arduino microcontrollers, and LTE connection to create an adaptive traffic light system that constantly adjusts traffic signal lengths to maximize traffic flow. Methodology: We created a prototype adaptive traffic light system using Arduino microcontrollers with LTE modules and sensors. The sensors send Real-time traffic data over LTE to a cloud server. The technology uses machine learning algorithms to assess data and traffic conditions and remotely alter traffic signal timings via IoT. Results: The prototype improved traffic flow and reduced congestion during peak hours at chosen junctions. In quantitative terms, traffic throughput rose 25%, and intersection waiting times decreased by 35%. Idling time reduction was anticipated to lower vehicle emissions. Conclusion: Arduino and LTE connection in an IoT-based adaptive traffic signal system show promise for urban traffic management. Traffic flow, waiting times, and emissions improve, proving its scalability and enabling cities to a sustainable and effective traffic management plan as vehicle loads rise. Further study is needed to determine its efficacy in different metropolitan topologies and traffic patterns.

The selection of energy suppliers is important for sustainable energy management, as selecting the most appropriate suppliers reduces the environmental impact and improves resource optimization through sustainable practices. Our primary objective of this work was to develop a system for identifying energy suppliers by assessing various characteristics and their associated sub-attributes. Interval-valued q-rung orthopair fuzzy hypersoft sets (IVq-ROFHSS) originate by developing an association among interval-valued q-rung orthopair fuzzy sets and hypersoft sets. It is a crucial resource to handle unpredictable situations, mainly when presenting a component in a real-life scenario. IVq-ROFHSS is a new structure developed to manage the sub-parametric values of the alternatives. We developed the Einstein operational laws for IVq-ROFHSS and extended the Interval-valued q-rung ortho-pair fuzzy hypersoft Einstein weighted average (IVq-ROFHSEWA) and interval-valued q-rung ortho-pair fuzzy hypersoft Einstein weighted geometric (IVq-ROFHSEWG) operators. Moreover, we used the developed operators to formulate a multi-attribute group decision-making strategy to choose the ideal provider in sustainable energy management. The presented fuzzy robust approach reliably reiterated the challenged energy supplier selection in supply chain management to regular activities while alleviating overall expenses and promising stable reliability.

Abstract Introduction The Medication Home Delivery (MHD) service from community pharmacies involves the safe and efficient delivery of pharmaceuticals (prescription and non-prescription medications), and health products directly to the patient’s/consumer’s home. There are several issues encountered by the users of the MHD service that have an impact on their satisfaction with the service. The study aimed to assess the public’s perceptions of the MHD service in the United Arab Emirates (UAE), their willingness to utilize it, and the practical use of the service. Method A cross-sectional exploratory study was conducted in the UAE using a validated online survey. The inclusion criteria were adults residing in the UAE. Statistical analysis was performed to identify the association between the variables, the service use, and the level of service efficiency. Results A total of 556 participants filled out the survey, with 69.4% of them using the service. The majority of participants were females (75.9%) and aged less than 40 years old (71.6%). Three variables showed a statistically significant association with the use of the MHD service (P

Abstract The Manchar Lake wetland complex, Pakistan’s largest freshwater-lake, faces unprecedented ecological challenges amidst climate change and human pressures, necessitating urgent, data-driven conservation strategies. This study employs cutting-edge multi-sensor remote sensing techniques to quantify and analyze the dynamic changes in this critical ecosystem from 2015 to 2023, aiming to provide a comprehensive understanding of wetland dynamics for informed management decisions. Integrating Sentinel-1 Synthetic Aperture Radar (SAR) and Sentinel-2 multispectral imagery, we assessed changes in wetland extent, vegetation health, and land-use patterns using spectral indices and topographic data. Our methodology achieved classification accuracies exceeding 92% across all study years, revealing significant ecosystem fluctuations. Water body extent exhibited a non-linear trend, expanding from 318.5 km² (5%) in 2015 to 397.0 km² (7%) in 2019, before contracting to 369.9 km² (6%) in 2023. This pattern was corroborated by MNDWI values. Concurrently, vegetation covers dramatically increased from 405.5 km² (7%) in 2019 to 1081.6 km² (18%) in 2023. The Enhanced Vegetation Index (EVI) reflected this trend, decreasing from 0.61 in 2015 to 0.41 in 2019, before recovering to 0.53 in 2023. Land use changes were substantial, with agricultural areas increasing from 118.4 km² (2%) in 2015 to 498.0 km² (8%) in 2023. SAR data consistently supported these observations. Topographic analysis, including the Topographic Wetness Index (TWI), provided crucial insights into wetland distribution and resilience. This comprehensive analysis highlights the complex interplay between natural processes and human influences shaping the Manchar-Lake ecosystem, underscoring the urgent need for adaptive management strategies in the face of rapid environmental change.

Abstract We sought to evaluate the genomic and transcriptomic landscapes in primary and metastatic germ cell tumors (GCTs; N = 138) to uncover factors that drive cisplatin resistance. Prevalence was calculated for platinum-resistant alterations (PRAs; KRAS, TP53, and KIT mutations, and MDM2 amplification) and high copy number amplifications (CNA ≥ 6 copies). Tumors were designated as chemo-naïve (PreC, N = 66) or post-chemotherapy (PostC, N = 17). A transcriptomic signature associated with platinum sensitivity (PSS, high suggests increased sensitivity) was applied. KIT mutations were observed in 14.5% of primary versus 1.8% of met and 0% of lymph. TP53 mutations were identified in 10% of primary GCTs versus 17% of met and 16.7% of lymph. MDM2 CNAs were similar between sites. PRA-positive PreC GCTs had significantly lower average PSS scores compared to PRA-negative tumors. Lower PSS scores in chemo-naïve tumors were associated with PRAs, suggesting a potential mechanism for platinum resistance.

Abstract In this study, a novel approach for the environmentally conscious extraction of titanium dioxide from ilmenite ore while limiting the environmental impact and enhancing the advantage from an economic process. Leaching conditions were tested with different acids for effective separation of the TiO2 and were optimized concerning different experimental parameters. TiO2 and TiO2NPs were characterized using with different tools. Catechol polyurethane foam immobilized with TiO2NPs was prepared and its antimicrobial action was tested against Gram-negative bacterium E. coli, Gram-positive bacterium B. cereus, and fungus A. niger. CAT-PUF /TiO2NPs showed antimicrobial effect against E. coli, B. cereus, and A. niger with inhibition zones of 27 ± 0.14, 12 ± 0.14, and 22 ± 0.06 mm, respectively. Incorporating bioinformatics, this research contributes to the burgeoning field of nanotechnology-enabled antimicrobial materials, offering insights into the potential applications of CAT-PUF/TiO2NPs in combating microbial threats. Through bio-informatics tools, the potential toxicity of the synthesized nanoparticles was assessed, providing valuable insights into their safety profile and environmental impact. Furthermore, simulating the binding affinity between the nanoparticles and target biomolecules, such as cell membrane proteins or enzyme receptors, this aspect of the research sheds light on the mechanistic underpinnings of their antimicrobial efficacy.

The concept of electrical integrated with surgical instruments (EISI) was first introduced by one of the authors of this paper. It aims to add electronic chips to classical surgical instruments to facilitate the surgeon's work during operation. Another concept called Penization is also utilized to redesign the instruments into pen-like ones to have 360° control by the surgeons' hands. This concept results in the production of the so-called pen needle holder. We tried to add an electrical chip to this innovative needle holder design to solve the problem of passing the needle through hard tissues in delicate microsurgical work, especially in neurosurgery. Method: A hybrid electronic circuit was added to the newly designed needle holder. We designed a circuit with built-in motors to facilitate the pen needle holder's work on tough tissue. The design respects the so-called tunnel principle, which states that we can add any material or devices within the surgical instrument that are not in contact with the organic tissue. The system depends on a pressure sensor circuit located just beneath the index tip of the surgeon so that whenever he has tough tissue, the pressure on the sensor through his index finger will increase to a certain amount; it will stimulate uni-direction vibrators, which will push that tip of the needle holder Onwards. The electrical motors will stop spontaneously whenever resistance stops as the needle passes through the tissue; ten neurosurgeons use this integrated surgical instrument. They answered a special questionnaire designed to compare the use of this pen needle hoarder with the electronic vibrators and without it, and the results were encouraging. Conclusion: The newly designed pen needle holder with an integrated electronic chip is approved to facilitate the surgeon's work, especially with hard tissues. It creates an opportunity to develop further innovations by integrating these electrical chips with other surgical instruments.

Cyberattack classification involves applying deep learning (DL) and machine learning (ML) models to categorize digital threats based on their features and behaviors. These models examine system logs, network traffic, or other associated data patterns to discriminate between standard activities and malicious actions. Efficient cyberattack classification is vital for on-time threat detection and response, permitting cybersecurity specialists to categorize and reduce potential risks to a system. Handling class-imbalanced data in cyberattack classification using DL is critical for achieving exact and robust models. In cybersecurity databases, instances of normal behavior frequently significantly outnumber instances of cyberattacks, foremost due to biased methods that may complete poorly on minority classes. To address this issue approaches such as oversampling the lesser class, undersampling the popular class, or using more advanced systems can be used. These plans defend that the DL technique is more complex when determining cyberattacks, so it increases complete performance and adapts the effect of the imbalance class on the classification results. This study presents a novel Hybrid Salp Swarm Algorithm with a DL Approach for Cyberattack Classification (HSSADL-CAC) technique. The HSSADL-CAC method intends to resolve class imbalance data handling with an optimum DL model for the recognition of cyberattacks. At first, the HSSADL-CAC method experiences data normalization as a pre-processing stage. The HSSADL-CAC technique uses the ADASYN approach to handle class imbalance problems. In addition, the HSSADL-CAC technique applies an HSSA-based feature selection approach. The HSSADL-CAC technique detects cyberattacks using a deep extreme learning machine (DELM) model. Finally, the hyperparameter tuning of the ELM model takes place by utilizing the beluga whale optimization (BWO) model. The performance analysis of the HSSADL-CAC technique employs a benchmark database. The comprehensive comparison research indicates the superior performance of the HSSADL-CAC technique in the cyberattack detection procedure.

Pseudohypoparathyroidism (PHP) is a group of disorders characterized by end-organ resistance to parathyroid hormone (PTH), resulting in high serum PTH, low calcium, and high phosphate levels. Among its 5 subtypes, PHP type 1a is the most common and leads to hereditary osteodystrophy, marked by short stature, short metacarpals, and electrolyte abnormalities such as hyperphosphatemia and hypocalcemia, which can cause tetany and seizures. Rarely, PHP patients can experience pathological fractures of long bones. This report discusses a 22-year-old female with PHP who presented with myoclonic seizures and bilateral hip fractures. Initial symptoms included fits, flank pain, and later, leg weakness. Diagnosis was based on clinical history, elevated serum PTH, low calcium, high phosphate, bilateral cataracts, hypothyroidism, basal ganglia calcification, and family history. Treatment began with IV calcium, followed by alfacalcidol, oral calcium, and antibiotics, leading to symptom remission. Hip fractures were managed with a POP cast and later closed reduction. The patient was discharged with calcium and 1,25 dihydroxy Vitamin D supplementation and scheduled for regular follow-up.

Rickets, one of the leading causes of bony deformities and short stature, can be calciopenic (inciting event is defective intestinal calcium absorption) or phosphopenic (inciting event is phosphaturia). Early diagnosis and timely treatment of rickets are crucial for correction of the limb deformities. Guidelines exist for nutritional rickets, but the diagnosis and management of the relatively uncommon forms of rickets are complex. This consensus aims to formulate a simplified diagnostic approach for rickets, especially in resource-limited settings. The consensus statement has been formulated by a 29-member committee from the Endocrine Society of Bengal. The process included forming a working group, conducting a literature review, identifying controversies, drafting, and discussion at a consensus meeting. Participants rated their agreement with the clinical practice points, and a 70% consensus was required. Input integration and further review led to the final consensus statements. Children with suspected rickets should initially be examined for distinctive skeletal deformities. The diagnosis of rickets should be confirmed with characteristic radiographic abnormalities. It is advisable to order tests for serum calcium, inorganic phosphorus (Pi), liver function, 25-hydroxyvitamin D (25OHD), parathyroid hormone, creatinine, and potassium in all patients with rickets. In cases of refractory rickets, it is also recommended that assessments be conducted for spot urine calcium, Pi, creatinine, and, blood gas analysis. In children with rickets and metabolic acidosis, tests for glycosuria, uricosuria, aminoaciduria, low molecular weight proteinuria, and albuminuria should be conducted. In children with resistant calciopenic rickets and sufficient serum 25OHD levels, serum 1,25(OH)2D concentration should be tested. 1,25(OH)2 D and fibroblast growth factor 23 estimation is useful for certain forms of phosphopenic rickets.

Osteoporosis and diabetes are considered major health challenges for postmenopausal women. Postmenopausal diabetic patients are at higher risk of fracture than postmenopausal women without diabetes. This review included studies that reported results on bone mineral density (BMD) and bone turnover in postmenopausal women with diabetes. Existing studies show conflicting results regarding bone turnovers and BMD in postmenopausal women with diabetes. A number of methods are recommended simultaneously to assess bone health in postmenopausal women with diabetes, including bone turnover assessment, bone mineral densitometry, and other available tests.

Abstract Treating lung and prostate cancer cells is a major health problem that may be solved through the interactions of laser beams with nanoparticles. In the paper, Au-H2Ti3O7 nanotubes (NTs) are proposed as a treatment agent and the interactions of different laser beams with the nanostructure are considered to solve the mentioned health problem. Also, the NTs are employed to treat the cancers in dark conditions. The results are motivating because Au-H2Ti3O7 NPs do not affect healthy cells, while they strongly affect cancer cells, and the viability percentage of LNCap cells reaches 16% for incubation times of 48 h. Furthermore, treating LNCap cells using the irradiated Au-H2Ti3O7 NTs by NIR beam at 808 nm has no cytotoxicity, while cytotoxicity of 92% is obtained using an irradiation laser beam at 532 nm. Also, applying the laser beam at 635 nm to the NTs leads to a cytotoxicity of ∼53% in lung cancer (A549 cells). In total, the Au-H2Ti3O7 NTs have a selective effect on cancer cells and greatly reduce the viability in the given dark and irradiation conditions, leading to the introduction of them as a promising agent for the non-invasive treatment of prostate cancer and a moderate candidate for lung cancer therapy.

Abstract Background Sentinel lymph node biopsy (SLNB) is widely used in patients who receive neoadjuvant chemotherapy (NAC). Still, axillary lymph node dissection (ALND) is recommended for patients with any axillary residual disease after NAC. The necessity of ALND in patients with minimal axillary disease is unclear. We aim to investigate regional recurrence rates in patients with limited axillary residual disease after NAC underwent SLNB + image-tailored axillary surgery and adjuvant radiotherapy (RT). Methods Patients with clinical stages were T1-3 and N1 at the time of diagnosis, clinically good or complete axillary response after NAC, and limited axillary residue (≤ 3 pathological lymph nodes) with favorable response to NAC in the final pathological examination were included in the study. All patients underwent SLNB + image-tailored axillary surgery. Peripheral lymphatic radiotherapy was applied, and no further surgery was performed in patients with compatible radiology and pathology results. Results Our study, which evaluated 139 patients with a median age of 47 years, found that the median number of excised lymph nodes was 4. Notably, 46% of patients had between 1 and 3 lymph nodes excised, while 45% had between 4 and 6. Only 9% of patients had ≥ 7 lymph nodes. 83(60%) of the patients underwent breast-conserving surgery (BCS), and 56(40%) underwent mastectomy. The study’s median follow-up period was 44 months. During this duration, one breast recurrence (0.7%), one supraclavicular recurrence (0.7%), and six systemic recurrences (4.3%) were observed. No axillary recurrence occurred within the follow-up period. Conclusions Patients presenting with pathological-suspicious ≤ 3 lymph nodes on imaging and showing a good response to NAC can be considered suitable candidates for SLNB + image-tailored axillary surgery, followed by adjuvant RT instead of ALND.

The number of studies that have been conducted on the possible benefits of different types of fasting or calorie restriction on cancer therapy, including the likelihood that these treatments lessen side effects, has been limited. However, the results are nevertheless promising. Chemotherapy’s adverse effects have led to a quest for options that reduce reliance on it. The susceptibility of tumorous cells to specific metabolites and nutrient deficiency is increasingly recognized as a key characteristic of the disease. This review delves into the data on various fasting methods and calorie restriction in rodents and humans, with a focus on biological adaptations that could potentially lower cancer risk or enhance cancer treatment results. We also emphasize recent scientific developments regarding the use of prolonged fasting and fasting-mimicking diets as a possible additional treatment for patients receiving immunotherapy or other treatments. This approach shows promise in enhancing treatment effectiveness, preventing resistance, and minimizing side effects. This study proposes that combining fasting and calorie restriction with chemotherapy, immunotherapy, or other therapies might be a potential technique to improve treatment efficacy, avoid resistance, and reduce adverse effects.

Parth J Rana,1 Himanshu Deshmukh,2 Urmil Shah,3 Vinod Kumar,4 Sanghamitra Kanungo,5 Deepika Singhal,6 Santosh Kumar Mahapatra,7 Ira Vakharia,8 Mukesh Jaiswal,9 Ajitkumar Gondane,10 Pooja Vaidya,10 Vinayaka Shahavi,9 Harish Shandilya,11 Dattatray Pawar,10 Akhilesh Sharma12 1Department of Retina and Trauma Surgery, Netralaya Superspeciallity Hospital, Ahmedabad, Gujarat, India; 2Department of Retina; ‘Daulat’ Deshmukh Eye Hospital, Khaparde Gardens, Amravati, Maharashtra, India; 3Department of Retina, P.N. Desai Eye Hospital, Ahmedabad, Gujarat, 380052, India; 4Department of Ophthalmology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India; 5Department of Retina, Kar Vision Eye Hospital, Bhubaneswar, Odisha, 751007, India; 6Department of Ophthalmology, GMERS Medical College and Civil Hospital, Ahmedabad, Gujarat, India; 7Department of Retina, JPM Rotary Club of Cuttack Eye Hospital and Research Institute, Cuttak, Odisha, 753014, India; 8Department of Retina, Nirmal Hospital Pvt Ltd, Surat, Gujarat, 395002, India; 9Clinical Research Department, Alkem Laboratories Ltd., Lower Parel, Mumbai, India; 10Medical Affairs Department, Alkem Laboratories Ltd., Lower parel, Mumbai, India; 11Global Product Development, IPM & Regulatory Affairs, Enzene Biosciences Ltd., Pune, India; 12Medical Affairs and Clinical Research Department, Alkem Laboratories Ltd., Lower Parel, Mumbai, IndiaCorrespondence: Ajitkumar Gondane, Medical Affairs, ALKEM Laboratories Ltd., ALKEM HOUSE, “Devashish”, Adjacent to Matulya Centre, Senapati Bapat Marg, Lower Parel, Mumbai, 400 013, India, Tel +8983375722, Email ajitkumar.gondane@alkem.comObjective: This study aimed to compare efficacy, safety, and immunogenicity of the biosimilar ranibizumab in comparison with the Innovator Ranibizumab in treatment-naive patients with neovascular (wet) age-related macular degeneration (nAMD or wAMD).Materials and Methods: This comparative, double blind, multicentre, Phase III clinical study randomized eligible patients in a 3:1 ratio to receive either OPTIMAB® (Alkem Laboratories Ltd./ Enzene Biosciences Ltd.) or Innovator Ranibizumab. Intravitreal injections of Innovator Ranibizumab (0.5 mg in 0.05 mL) and OPTIMAB® (0.5 mg in 0.05 mL) were administered every four weeks for 12 weeks (three doses). Primary efficacy endpoints included loss of < 15 letters from baseline, gain of ≥ 15 letters from baseline in visual acuity, mean change in best corrected visual acuity (BCVA) from baseline, and change in central subfoveal thickness (CSFT) from baseline at week 12. Safety was assessed through monitoring of adverse events (AEs) and serious adverse events (SAEs) throughout the study.Results: Overall, of the 152 patients randomized, 141 (92.8%) patients (mean age, 66.6 ± 9.37 years) completed the study. Percentage of patients who lost < 15 letters in BCVA at week 12 from baseline was comparable in both the groups (100.0%, each). On secondary end point analysis, the two groups had comparable mean changes in BCVA (OPTIMAB®, 11.8 ± 9.18; innovator ranibizumab, 12.9 ± 10.29; P = 0.5509); proportion of patients who gained ≥ 15 letters in visual acuity (OPTIMAB®, 32.18%; innovator ranibizumab, 25.74%; P = 0.4785) and mean change in CSFT (OPTIMAB®, − 76.6 ± 89.03; Innovator ranibizumab, − 73.1 ± 92.23 μm; P = 0.8422) at week 12 as compared to baseline. OPTIMAB® and innovator ranibizumab demonstrated comparable safety over the 12-week treatment period and no patient expressed anti-ranibizumab antibody in either group patient.Conclusion: Biosimilar ranibizumab (OPTIMAB®) was non-inferior to innovator ranibizumab in terms of efficacy, safety, and immunogenicity in the patients of nAMD.Keywords: biosimilar ranibizumab, best corrected visual acuity, central subfoveal thickness, nAMD

Abstract This research systematically reviews existing literature to evaluate the perceived value of forensic accounting. The review examines the evolution of forensic accounting, key services provided, necessary skills, professional standards, and educational requirements. It also addresses the expectation gap in forensic accounting education and identifies areas for future research. By synthesizing data from various studies, the paper presents a comprehensive overview of the current state of forensic accounting research. Key findings indicate a growing global demand for forensic accounting, evidenced by the establishment of specialized units within major firms and regional accounting entities. The review concludes with insights into the general characteristics and classification schemes of forensic accounting studies, offering a detailed examination of the field’s present and future directions.

Abstract The UAE harbors a rich diversity of wild medicinal plants, such as Calotropis procera (CP), that are renowned for their extensive use in traditional medicine due to their abundance of bioactive phytochemicals. Zinc and iron metals possess significant pharmacological effects including antioxidant and anticancer properties. In this study, nanoparticles (NPs) containing zinc and iron were green synthesized utilizing ethanolic and aqueous extracts of CP aerial parts. UV-Vis spectra revealed absorption peaks around 270–275 nm, while FT-IR analysis confirmed successful coating of the NPs with plant’s phytochemicals. SEM/EDX analysis indicated a more potent reducing effect of the aqueous extract, whereas the alcoholic extract demonstrated more effective coating of the NPs. DLS showed monodispersed NPs with average sizes of 32.67–202 nm. The alcoholic extract-based zinc and iron NPs exhibited the highest phenolic and flavonoid contents (51.06 ± 2.82 µg of GAE/mg of DW and 66.26 ± 1.12 µg of Qu/mg of DW, respectively) and the strongest antioxidant effect against ABTS and DPPH radicals (IC50 = 52.81 and 148.46 µg/mL, respectively). The aqueous extract-based zinc NPs demonstrated the greatest cytotoxicity against A-431 cell lines (IC50 = 188.97 µg/mL). The findings highlight promising potential of these sustainable materials for therapeutic applications, indicating a need for continued research and development in this area.

Abstract The latest pandemic resulting from the novel SARS-CoV-2 coronavirus has significantly affected public health, the worldwide economy, and social life. Metal organic frameworks (MOFs) are currently being implemented in biosensors for rapid and accurate detection of viruses thanks to their exceptional properties. This research aims to develop a Zeolitic Imidazolate Framework-8 (ZIF-8) based fluorescent biosensor for facile and rapid COVID-19 RNA sequence detection. ZIF-8 was characterized using several tests, such as FT-IR, TGA, and PXRD, to examine the MOF’s crystalline structure and thermal stability. The results demonstrated high crystallinity and thermal stability up to a temperature of 550 °C. The experimental study showed that ZIF-8 is an excellent fluorescence quencher, with 78.39% quenching efficiency. Analyzing the adsorption mechanism of probe DNA into ZIF-8 revealed that they can form electrostatic and π–π stacking interactions, forming a P-DNA@ZIF-8 complex and that PET is more dominant than FRET in the quenching mechanism. This ZIF-8 biosensing platform showed high sensitivity towards COVID-19 RNA with an ultra-low limit of detection of 6.24 pM, a rapid detection time of 8 min, and high selectivity to COVID-19 RNA. Indeed, ZIF-8 experienced much lower fluorescence recovery when tested on two mismatched RNAs. The experimental results show the potential use of ZIF-8 as a novel biosensor for a rapid and sensitive COVID-19 diagnosis.

Abstract Crithmum maritimum (sea fennel), is a halophytic plant species found globally in coastal environments. This study is the first investigation into the chemical composition and biological activities of C. maritimum growing wildly in Jebel Akhdar, Libya. Gas Chromatography-Mass Spectrometry (GC-MS) analysis was utilized to identify and profile the plant’s volatile components; it resulted in the identification of twenty-four components, representing 99.17% of the total peaks in the GC-MS chromatogram. The analysis revealed that thymyl methyl ether, γ-terpinene, and ledene oxide, were the major volatile constituents of the plant at relative percentage levels of 56.86, 16.17, and 4.32%, respectively. The analysis also indicated substantial variations in the volatile composition of C. maritimum Libyan species compared to those from various geographic regions. The plant’s volatile oil quality was evaluated by investigating its in vitro antioxidant activity and the oil’s ability to inhibit acetylcholinesterase (AChE) and tyrosinase enzymes. The oil markedly scavenged the free radicals and reduced the ferric ions in the DPPH and FRAP assays at levels of 34.30 ± 0.10 and 38.90 ± 0.51 Trolox equivalents, respectively. The plant’s volatile oil has substantially reduced the AChE at the IC50 value of 34.43 ± 0.25 compared to its effect against tyrosinase (IC50 12.449 ± 0.68). The in silico approach was used to highlight the mechanisms underlying the enzyme inhibitory effect of the plant volatile oil. The stigmastene and γ-santonin demonstrate stronger binding affinity towards AChE and tyrosinase compared to the co-crystalized controls, donepezil and tropolone. The study provides significant information for the environmental changes effect on the volatile constituents of C. maritimum and highlights the plant’s importance within the scope of its antioxidant and enzyme inhibition activities.

Abstract Introduction Perinatal depression is a serious and highly prevalent medical condition in the USA. Nearly 85% of individuals with perinatal depression go untreated, leading to significant morbidity and mortality. There is an urgent need to develop and advance safe and effective treatments for perinatal depression. Transcranial magnetic stimulation is an established intervention for depression in non-pregnant individuals yet is not well studied in perinatal depression. Case presentation A 33-year-old pregnant Latina female presented with severe, recurrent, treatment-resistant depression and suicidal ideation. The patient had previously trialed psychotherapy, multiple antidepressants, and mood stabilizers and had achieved remission with lithium prior to pregnancy. Due to pregnancy and fetal safety concerns, the patient discontinued lithium and consequently suffered progressive worsening of perinatal depression. At 24 weeks gestation and after additional failed medication trials, a prolonged course of transcranial magnetic stimulation was initiated. Following 46 transcranial magnetic stimulation treatments over 9 weeks using two protocol types (repetitive transcranial magnetic stimulation and intermittent theta burst stimulation), she achieved near-remission of perinatal depression and resolution of suicidal ideation. There were no identified maternal or fetal adverse events at 6 weeks post-delivery. Conclusion To our knowledge, this is the first published case of a pregnant individual with perinatal depression who received and tolerated a prolonged transcranial magnetic stimulation course with two distinct protocols (repetitive transcranial magnetic stimulation and intermittent theta burst stimulation) with clinically significant response. Transcranial magnetic stimulation is a well-tolerated and effective intervention that warrants further investigation for use in treatment-resistant perinatal depression.

Abstract Background Diabetes is a global health problem, and its incidence and complications increase with the duration of the disease and over time. This increase in complications in older patients can lead to disability and a lower quality of life. This study aimed to investigate the rate of diabetes control and complications in older adults. Method This was a cross-section of an ongoing cohort of patients with type 2 diabetes mellitus (T2DM) aged 65 years and older. The clinical and laboratory characteristics of older adult patients with T2DM in good and intermediate health conditions were collected between 2010 and 2022. Results A total of 2,770 older adult patients with T2DM were enrolled, including 1,530(55.3%) female and 1,240 (44.7%) male participants. Metabolic syndrome, hypertension, and coronary artery disease were the most common comorbidities, affecting 1,889 (71.4%), 1,495 (54.4%), and 786 (29.2%) patients, respectively. Albuminuria was present in 626 (22.6%) patients, while retinopathy was detected in 408 (14.7%) patients, including 6% with proliferative retinopathy. Most patients were treated with oral antidiabetic agents (88.9%), with metformin being the most prescribed medication (85.6%). Statins were prescribed to 71.8% of the patients. The most prescribed antihypertensive medications were angiotensin receptor blockers and angiotensin-converting enzyme inhibitors, prescribed to 54% and 15% of patients, respectively. The hemoglobin A1c (HbA1c) goal (HbA1c

Abstract Arsenic species have been known for their toxic impact on human. Therefore, removal of such pollutant requires efficient and effective removal methodology from polluted water. In this study, bismuthene quantum dots (Bi-ene-QDs) were fabricated by a green and facile one pot-hydrothermal conversion reaction of Bi(NO3)3·5H2O. Bi-ene-QDs exhibited semi-spherical crystalline providing 6.0 nm 157.78 m2/g. Consequently, As(V) capturing by Bi-ene-QDs revealed optimum practical conditions at pH 3, interaction duration time 40 min and 10 mg Bi-ene-QDs dosage. The interaction of As(V) ions with Bi-ene-QDs were confirmed by the appearance of As-O stretching vibration. Moreover, Bi-ene-QDs achieved excellent adsorptive capture percentages of Arsenic ions from sea, tap and wastewater providing 94.61, 95.21 and 94.38% from contaminated samples with 5 mg L−1 Arsenic ions. Therefore, Bi-ene-QDs can be categorized as an unprecedented and efficient nanosorbent for the successful removal of Arsenic ions pollution from various wastewater matrices with > 90.0% efficiency.

Abstract Background The investigation aimed to assess the impacts of magnesium sulphate (MgSO4) iontophoresis and high-power pain-threshold ultrasound (HPPT-US) on pain, range of motion (ROM), and functional activity in physical therapy students suffering from mechanical cervical pain. Methods Typically, 75 males aged 19 to 30 years suffering from mechanical neck pain were enrolled in this investigation. Participants were divided at random into three groups. Group A received iontophoresis plus conventional physical therapy program, Group B received HPPTUS along with conventional therapy, and Group C received conventional therapy only. The outcomes were pain evaluated by visual analog scale (VAS) and Digital Electronic Pressure Algometer, cervical range of motion measured by Myrin gravity reference goniometer, and Arabic Neck disability index (ANDI) evaluate neck function. Results The differences within and between groups were detected utilizing a mixed-design multivariate analysis of variance (MANOVA). The within- and between-group analysis of all outcome measures revealed that there were statistically significant differences at post-intervention between high-power ultrasound and conventional group at all variables and also between iontophoresis and conventional group, but there was no statistically significant variation between high-power ultrasound and iontophoresis. Conclusion MgSO4 iontophoresis and HPPT-US are effective in decreasing pain, improving neck function, and improving neck ROM in subjects with mechanical neck pain who have active myofascial trigger points (MTrPs) on the upper fibers of the trapezius with no superiority of one over the other. Trail registration The study was registered in the Clinical Trials Registry (registration no: NCT05474898) 26/7/2022.

Abstract Background The main characteristic of asthma is chronic inflammation. We examined cellular senescence by histology and molecular assay in the lungs of a rat model of asthma. This model comprises sensitization by several intraperitoneal injections of ovalbumin with aluminium hydroxide, followed by aerosol challenges every other day. Results Data showed that asthma induction caused histological changes including, hyperemia, interstitial pneumonia, fibrinogen clots, and accumulation of inflammatory cells in the pleura. There is an elevation of IL-1β and NF-kB proteins in the asthmatic group (P

Abstract Introduction Gram-negative bacteremia is a life-threatening infection with high morbidity and mortality. Its incidence is rising worldwide, and treatment has become more challenging due to emerging bacterial resistance. Little data is available on the burden and outcome of such infections in Lebanon. Methods We conducted this retrospective study in four Lebanese hospitals. Data on medical conditions and demographics of 2400 patients diagnosed with a bloodstream infection based on a positive blood culture were collected between January 2014 and December 2020. Results Most bacteremias were caused by Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa and Acinetobacter baumannii, with the more resistant organisms being hospital-acquired. Third-generation cephalosporin and quinolone resistance was steady throughout the study, but carbapenem resistance increased. Mortality with such infections is high, but carbapenem resistance or infection with Pseudomonas or Acinetobacter species were significant risk factors for poor outcomes. Conclusion This is the first multi-center study from Lebanon on gram-negative bacteremia, resistance patterns, and factors associated with a poor outcome. More surveillance is needed to provide data to guide empirical treatment for bacteremia in Lebanon.

Abstract Background Pre-diagnostic disturbances in the microbiome-derived metabolome have been associated with an increased risk of diabetes in non-pregnant populations. However, the roles of microbiome-derived metabolites, the end-products of microbial metabolism, in gestational diabetes (GDM) remain understudied. We examined the prospective association of microbiome-derived metabolites in early to mid-pregnancy with GDM risk in a diverse population. Methods We conducted a prospective discovery and validation study, including a case–control sample of 91 GDM and 180 non-GDM individuals within the multi-racial/ethnic The Pregnancy Environment and Lifestyle Study (PETALS) as the discovery set, a random sample from the PETALS (42 GDM, 372 non-GDM) as validation set 1, and a case–control sample (35 GDM, 70 non-GDM) from the Gestational Weight Gain and Optimal Wellness randomized controlled trial as validation set 2. We measured untargeted fasting serum metabolomics at gestational weeks (GW) 10–13 and 16–19 by gas chromatography/time-of-flight mass spectrometry (TOF–MS), liquid chromatography (LC)/quadrupole TOF–MS, and hydrophilic interaction LC/quadrupole TOF–MS. GDM was diagnosed using the 3-h, 100-g oral glucose tolerance test according to the Carpenter-Coustan criteria around GW 24–28. Results Among 1362 annotated compounds, we identified 140 of gut microbiome metabolism origin. Multivariate enrichment analysis illustrated that carbocyclic acids and branched-chain amino acid clusters at GW 10–13 and the unsaturated fatty acids cluster at GW 16–19 were positively associated with GDM risk (FDR

Abstract Objective Environmental pollution of heavy metals is increasingly a problem and has become of great concern due to the adverse effects it causes worldwide. Heavy metal exposure has been implicated in health problems, including fibromyalgia and rheumatoid arthritis. We aim to evaluate the rule of chronic heavy metals toxicity on the induction of vitamin D3 (VD) deficiency and parathyroid hormone (PTH) disturbances in an inflammatory disease like rheumatoid arthritis (RA) and non-inflammatory disease like fibromyalgia syndrome (FMS). Methods This comparative analytical study was conducted on sixty adults (age ≥ 18 years). Participants were divided into three groups. Group I: twenty patients diagnosed with RA according to the specific ACR/EULAR criteria for RA. Group II: twenty patients diagnosed with FMS according to the specific 2010 (ACR) criteria for FMS. Group III: twenty healthy adults. All patients and controls were subjected to routine laboratory tests as well as the measurement of PTH, VD and estimation of serum levels of lead, cadmium, and chromium. Results VD was significantly inversely correlated to PTH, lead, cadmium, chromium, and activity scores in the RA and FMS groups. Lead, Cadmium and Chromium had a significant independent risk on the VD level in RA patients, while lead had a significant independent risk on the VD level in FMS patients. Conclusion Heavy metals may affect VD synthesis, leading to hypovitaminosis D and secondary hyperparathyroidism in RA and FMS patients. Heavy metals play a key role in the pathogenesis of RA, FMS, and their disease activity.

Abstract Background Streptococcus pyogenes (Group A Streptococcus, GAS) is a significant pathogen that causes diverse infections, ranging from pharyngitis to severe invasive diseases. Asymptomatic carriage in children is pivotal for transmission. The COVID-19 pandemic’s health measures, including mask wearing and enhanced hand hygiene, likely influenced GAS transmission dynamics. This study evaluated the impact of these precautions on the prevalence of asymptomatic pharyngeal GAS carriage among schoolchildren in the southern West Bank, Palestine. Methods This cross-sectional study was conducted in two phases: pre-COVID-19 (November 2019–January 2020) and post-COVID-19 (November 2023–April 2024). Throat swabs were collected from 701 children (345 pre-COVID-19, 356 post-COVID-19) via cluster sampling. The samples were tested with the ABON Strep A rapid test and confirmed by culture. Sociodemographic, health, and household data were also collected. The statistical analyses included descriptive statistics, chi-square tests, and binary logistic regression. Results The prevalence of asymptomatic pharyngeal GAS carriage declined from 15.7% pre-COVID-19 to 10.4% post-COVID-19 (p = 0.038). Significant reductions were observed among urban residents (23.5–10.1%, p = 0.003) and those from medium socioeconomic backgrounds (16.0–9.1%, p = 0.008). Compared with urban residents, rural residents had lower GAS carriage rates (adjusted OR = 0.505, p = 0.023). Carriage rates also decreased among children with frequent sore throats (17.6–7.3%, p = 0.007) and those using private wells (52.5–14.9%, p

Abstract Several Pelargonium species are cultivated mainly to produce essential oils used in perfume industry and for ornamental purposes. Although the chemical composition and biological activities of their essential oils were extensively investigated, there is limited information about the chemical composition of their non-volatile constituents. In this study, we report an Ultra-Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)-based metabolomics approach for the annotation and analysis of various metabolites in three species; P. graveolens, P. denticulatum, and P. fragrans utilizing The Global Natural Product Social Molecular Networking (GNPS) and multivariate data analyses for clustering of the metabolites. A total of 154 metabolites belonging to different classes were annotated. The three species are good sources of coumarins, benzoic acid derivatives, organic acids, fatty acids, and phospholipids. However, the highest level of flavonols (mono- and di-O-glycosides) and cinnamic acid derivatives was found in P. graveolens and P. denticulatum, whereas tannins and flavone C-glycosides were abundant in P. fragrans. The metabolic profiles clarified here provide comprehensive information on the non-volatile constituents of the three Pelargonium species and can be employed for their authentication and possible therapeutic applications.

Breast Cancer is the most frequent type of cancer in women. It is the second greatest cause of cancer-related deaths among women in high-income countries. The objective of this current review is to elucidate the role of gut microbiota in cancer in general, with a specific focus on breast cancer. The dysbiosis of gut microbiota is a crucial component that has recently come to light, possibly altering the development, treatment, and prognosis of breast cancer through numerous molecular pathways. This review study investigates the relationships between gut microbiota and breast cancer, with an emphasis on how gut microbiota impacts the microenvironment of breast cancer. Final views on improving breast cancer prognosis and risk assessment may be influenced by new data from clinical trials on the breast-microbiome axis and the ability of immunotherapy to modify the microbiome associated with breast cancer.

Background:Rheumatoid arthritis (RA) is an autoimmune disorder. Autoimmune thyroid disease often coexists with RA and is associated with elevated cardiovascular (CV) risk. This risk was pronounced in women and the elderly. RA patients should be closely monitored to prevent the development of hypothyroidism. Objectives:The purpose of this study was to investigate the impacts of Hashimoto’s thyroiditis on rheumatoid arthritis activity and its complication among Iraqi patients with rheumatoid arthritis. Materials and Methods:This study is a cross-sectional observational study involving 140 participants diagnosed with RA (according to rheumatologist physicians in accordance with ACR/EULAR 2010 criteria). Enzyme-linked immunosorbent assay (ELISA) was used to assess serum levels of anti-CCP, Ab-TPO, TSH, T4, and lipid profile. As well as troponin, myoglobin, and creatine kinase were measured. RA activity was estimated according to DAS-28-ESR and CDAI. Patients included 16 males and 124 females, ranging between the ages of 20 and 60 years. Results:The current study revealed a significant difference between anti-TPO levels in the serum of RA patients with DAS-28ESR (P = 0.006). Also, the study showed a strong positive correlation (r = 0.436) between anti-TPO and DAS-28-ESR. Conclusion:HT is frequent among patients with RA. Therefore, there is a need for screening of thyroid hormone dysfunction as well as the presence of anti-TPO in RA patients particularly in young patients, females, and those with high disease activity. No significant differences in the occurrence of CVD among RA patients with HT and euthyroid RA patients.

Background: Considering the high prevalence of UI in the rural areas of Jordan and the limited clinical data on its occurrence in central Jordan, this study aims to investigate the prevalence, risk factors, and impact of urinary incontinence (UI) on the quality of life (QoL) of women in central Jordan. Method: This cross-sectional study was conducted from September to December 2022, using online the Incontinence Impact Questionnaire short form (IIQ-7) and Urogenital Distress Inventory short form (UDI-6). Participation was voluntary, and anonymous. Internal consistency was assessed using Cronbach’s α. Results: A total of 128 women participated in the study. More than half of the participants (54.33%, N = 69) experienced UI symptoms. Body mass index was the sole statistically significant factor linked to UI. Obese patients had the highest risk (OR 35, CI 95% 2.577–475.308, p < 0.05) compared to those with a healthy weight. Multivariate regression indicated significant associations of severe UI with smoking and vaginal births with a moderate impact of UI on QoL. Conclusions: The study’s findings emphasize the need for women’s health centers in the center of Jordan to develop comprehensive UI prevention and management programs to improve women’s health and well-being.

Abstract The growing concern and limitations for existing lubricants have driven the need for biolubricants, extensively proposed as the most suitable and sustainable lubricating oils. Biolubricant refers to lubricants that quickly biodegrade and are non-toxic to humans and aquatic habitats. Over the last decade, there has been a significant increase in the production of biolubricants due to the rising demand for replacing petroleum-based lubricants with those derived from renewable sources like vegetable oils and lipase that are used in various applications. In this study biodiesel (FAME) produced from blending animal fats and waste cooking was used as a raw material with ethylene glycol for biolubricant production using a transesterification reaction in the presence of calcium oxide which considers the newest and novel part as there is no production of biolubricant from animal fats and waste cooking oil in previous researches. The reaction parameters of biolubricant production were optimized using response surface methodology (RSM) with the aid of Box Behnken Design (BBD) to study the effect of independent variables on the yield of biolubricant. These variables are temperature ranging from (100–150 °C), reaction time ranging from 1 to 4 h, and FAME (Fatty Acid Methyl Ester) to alcohol molar ratio ranging from (2:1) to (4:1). The highest biolubricant yield is 91.56% at a temperature of 141 °C, a FAME/alcohol molar ratio of 2:1, and 3.3 h. Various analyses were performed on the produced biolubricant at the optimum conditions. The results include a pour point of -9 °C, a flash point of 192 °C, a kinematic viscosity at 40 °C of 10.35 cSt, a viscosity index of 183.6, an ash content of 0.76 wt.%, and a carbon residue of 1.5 wt.%, comparing favorably with the ISO VG 10 standard. The production process of biolubricant was simulated with Aspen Plus version 11 using a Non-Random Two-Liquid (NRTL) fluid package. The simulation results indicated that the production process can be applied on an industrial scale. Economic analysis was performed on the biolubricants production plant. The total capital investment was $12.7 M with a payback period of 1.48 years and an internal rate of return (IRR) of 67.5% indicating the suitability and profitability of the biolubricant production.

Abstract Objective Exosomes, membrane-enveloped vesicles found in various cell types, including Wharton’s jelly mesenchymal stem cells, play a crucial role in intercellular communication and regulation. Their use as a cell-free nanotechnology and drug delivery system has attracted attention. Triple-negative breast cancer (TNBC) is a major global health problem and is characterized by a high mortality rate. This study investigates the potential of Wharton’s Jelly mesenchymal stem cell-derived exosomes (WJ-Exo) as carriers of S3I-201 and their effects on STAT3 expression in breast cancer cell lines, and evaluates whether these exosomes can enhance the anti-tumor effect of S3I-201. Methods The filtered WJ-Exos were analyzed by Transmission Electron Microscopy (TEM), Scanning electron microscopy (SEM), Dynamic Light Scattering (DLS), flow cytometry, and Western blotting. These exosomes were then used for loading with S3I-201, resulting in the nano-formulation WJ-Exo(S3I-201). The effect of WJ-Exo(S3I-201) on 4T1 cancer cells was investigated in vitro using MTT assay, flow cytometry, wound healing assay, Western blotting and Quantitative Real-Time Polymerase chain reaction (qPCR) analysis. Finally, the therapeutic efficacy of the nano-formulation was investigated in vivo using a tumor-bearing mouse model. Results In vitro experiments showed that co-incubation of 4T1 cells with the nano-formulation resulted in a significant reduction in p-STAT3 levels, induction of apoptosis, modulation of Bcl-2, Bax and caspase-3 protein and gene expression, and inhibition of migration. In vivo, treatment of tumor-bearing mice with WJ-Exo(S3I-201) showed a strong antitumor effect that exceeded the efficacy observed in the S3I-201 group. Conclusion Our results demonstrate that WJ-Exo is an effective carrier for targeting S3I-201 to tumor cells and enhances the therapeutic efficacy of S3I-201 in tumor-bearing mice.

Abstract Background Tongue defects have several etiologies and significantly affect the quality of life. This study was conducted to compare the regenerative potential of erythropoietin (EPO)-loaded hydrogel and adipose derived stem cell (ADSC) secretome on tongue dorsum defects focusing on the role of anti-inflammatory M2 macrophage phenotype. Methods Rats were subjected to induction of mechanical circular defects on the dorsal surface of the tongue, then divided into three groups; Group I (control): received 0.1 ml phosphate buffered saline, Group II (EPO): received 5000 U/kg EPO-hydrogel, and Group III (ADSC-Secretome): received 0.1 ml ADSC-Secretome. Treatments were injected circumferentially around wound margins after induction. Seven and fourteen days after treatment, specimens were obtained and processed for histological and immunohistochemical staining followed by the relevant histomorphometric and statistical analyses. Results Seven days after treatment, groups II and III presented defects with some epithelial regeneration at the lateral margins, while the center of the defect showed granulation tissue with much inflammatory cells. The base of the defects showed some muscle fibers and new blood vessels, however group III showed more enhanced neovascularization. Fourteen days after therapeutic intervention, group II defects were completely covered with epithelium showing a thin keratin layer with regular rete pegs interdigitating with the underlying connective tissue papillae, but tongue papillae were not restored. Group III expressed much better healing with developing filiform papillae. The connective tissue showed more vascularity and well-arranged muscle bundles. Both treated groups showed a significant decrease in defect depth and significant increase in anti-inflammatory macrophages compared to the control group at both time intervals, however there was no significant difference between the two treated groups. Conclusion Both treatments showed promising and comparable results in the treatment of tongue defects reducing inflammation and restoring tongue histological architecture with significant upregulation of M2 macrophage.

Background: Yoga breathing has been shown to enhance neurocognitive function and positive emotions by increasing electrical power in several frequency bands and synchronizing interhemispheric brain waves. The current study examined the immediate impact of practicing Kapalabhati (KBH) on the electrical activity of the brain. Methods: Thirty-six individuals who met the inclusion and exclusion criteria and ranged in age from 18 to 25 were randomly assigned, 1:1, to the KBH (n = 18) and breath awareness (BAW) (n = 18) groups. Before data collection, both groups received their respective practices for 10 min each day for a total of 15 days. The brain’s electrical activities were assessed using 128-channel EEG recording. The electrodes were placed on their scalps according to the international 10-10 system, ensuring optimal coverage of different brain regions. The EEG signals were amplified, digitized, and stored for offline analysis. Results: The EEG data showed that the practice of KBH significantly increased alpha waves in the frontal and temporal regions. Moreover, gamma waves increased significantly in the frontal, temporal, and occipital regions after the practice of KBH when compared with BAW. Conclusion: The results suggest the involvement of frontal and temporal regions, which highlights the importance of KBH in enhancing higher-order cognitive processes. These results provide valuable insights and support for the use of KBH as a potential intervention for individuals seeking to enhance their cognitive abilities.

Abstract Background Cotton is one of the topmost fiber crops throughout the globe. During the last decade, abrupt changes in the climate resulted in drought, heat, and salinity. These stresses have seriously affected cotton production and significant losses all over the textile industry. The GhAGC kinase, a subfamily of AGC group and member of serine/threonine (Ser/Thr) protein kinases group and is highly conserved among eukaryotic organisms. The AGC kinases are compulsory elements of cell development, metabolic processes, and cell death in mammalian systems. The investigation of RNA editing sites within the organelle genomes of multicellular vascular plants, such as Gossypium hirsutum holds significant importance in understanding the regulation of gene expression at the post-transcriptional level. Methods In present work, we characterized twenty-eight GhAGC genes in cotton and constructed phylogenetic tree using nine different species from the most primitive to the most recent. Results In sequence logos analyses, highly conserved amino acid residues were found in G. hirsutum, G. arboretum, G. raimondii and A. thaliana. The occurrence of cis-acting growth and stress-related elements in the promoter regions of GhAGCs highlight the significance of these factors in plant development and abiotic stress tolerance. Ka/Ks levels demonstrated that purifying selection pressure resulting from segmental events was applied to GhAGC with little functional divergence. We focused on identifying RNA editing sites in G. hirsutum organelles, specifically in the chloroplast and mitochondria, across all 28 AGC genes. Conclusion The positive role of GhAGCs was explored by quantifying the expression in the plant tissues under abiotic stress. These findings help in understanding the role of GhAGC genes under abiotic stresses which may further be used in cotton breeding for the development of climate smart varieties in abruptly changing climate.

Abstract Particle size is considered one of the significant characteristics used in geotechnical practices. Traditionally, sieve analysis is utilized for coarse-grained soil. However, this method could be time consuming and take much effort, especially for large scale infrastructure projects. This paper presents an efficient method for estimating gravel particle characterization utilizing image processing and artificial neural network technique (IPNN). The proposed algorithm is performed by utilizing particle boundary delineation and shape feature extraction to train a neural network model for estimating gravel size distribution curve. It is found that excellent agreement exists between the results obtained from conventional sieve analysis and neural analysis for gravel soil particles with maximum difference in passing percentages up to only 3.70%. The proposed technique shows satisfactory results for crushed stone samples with maximum difference in passing percentages about 10.90% mainly in large diameter particles. The presented technique (IPNN) could offer a promising alternative technique for material quality control process especially in large scale projects.