Evaluation of Quality of Life and Satisfaction with Fixed Prostheses on Zygomatic Implants vs All-on-Four Concept: A Randomized Clinical Study.

AIM: To compare between the rehabilitation of atrophied maxilla with fixed prosthesis using two posterior zygomatic implants and two conventional anterior implants or four implants inserted according to the all-on-four concept regarding the patient quality of life and satisfaction after one year of prosthesis insertion. MATERIALS AND METHODS: Thirty-six patients with atrophic edentulous maxillae were randomized into two groups: Group I (rehabilitated with fixed prostheses supported by two zygomatic and two conventional implants in the anterior region) and group II (fixed prostheses on four implants in the anterior region following an all-on-four concept). One year after the placement of the definitive prostheses, patients completed oral health impact profile-14 and satisfaction questionnaires. RESULTS: All patients were satisfied regarding retention, stability, occlusion, comfort, cleaning, speaking, chewing, bolus quality, appearance, handling, prosthesis apart, and embarrassing, with no significant significance between two groups except satisfaction with surgical procedures and healing period. CONCLUSIONS: Using two distally tilted zygomatic implants or all-on-four concept to rehabilitate atrophied maxilla by fixed detachable prosthesis could be considered a promising functional and esthetic treatment option regarding the patient satisfaction. CLINICAL SIGNIFICANCE: Traditionally, treatment of maxillary atrophied ridges was done by bone grafting or sinus-lifting techniques; however, using all-on-four concept or zygomatic implants was a successful treatment as it has high success rates and highly satisfied by the patients. How to cite this article: Nagib MA, Ibrahim AM, Abdel-Rahman FH, et al. Evaluation of Quality of Life and Satisfaction with Fixed Prostheses on Zygomatic Implants vs All-on-Four Concept: A Randomized Clinical Study. J Contemp Dent Pract 2024;25(2):141-147.

Ethical Awareness and Practices Among Emergency Department Personnel in Riyadh's Tertiary Hospitals: A Cross-Sectional Analysis.

Introduction: Ethical dilemmas in healthcare, particularly in emergency medical services (EMS), present significant challenges for healthcare workers (HCWs), necessitating a profound understanding of ethics and decision-making. This study assesses the ethical awareness and practices among HCWs in emergency departments of tertiary hospitals in Saudi Arabia, aiming to identify areas of strength and opportunities for improvement. Methods: A cross-sectional survey was conducted among 256 HCWs, including physicians, nurses, and administrative staff, in emergency departments across tertiary hospitals in Riyadh, Saudi Arabia. The questionnaire evaluated participants' knowledge of healthcare ethics, their experiences with ethical dilemmas, and the sources from which they derived their ethical understanding. Results: The majority of participants exhibited a commendable level of ethical knowledge and practice, with frequent encounters of ethical or legal issues highlighting the pervasive nature of ethical challenges in emergency healthcare settings. Key sources of ethical knowledge included experiential learning and academic lectures, with a notable emphasis on practical experience. Despite the satisfactory level of ethical awareness, areas requiring further educational focus were identified, emphasizing the need for enhanced ethics training tailored to the emergency medical context. Discussion: The findings underline the critical importance of incorporating ethics into the core of healthcare education and ongoing professional development for HCWs. Establishing a culture of continuous ethical dialogue and learning is essential for fostering patient-centered care and making informed ethical decisions in the fast-paced environment of emergency services. The study advocates for revising current ethics training programs to ensure they are comprehensive, relevant, and accessible, preparing HCWs to effectively address both current and future ethical challenges.

The effects of protein supplementation, fumagillin treatment, and colony management on the productivity and long-term survival of honey bee (Apis mellifera) colonies.

In this study, we intensively measured the longitudinal productivity and survival of 362 commercially managed honey bee colonies in Canada, over a two-year period. A full factorial experimental design was used, whereby two treatments were repeated across apiaries situated in three distinct geographic regions: Northern Alberta, Southern Alberta and Prince Edward Island, each having unique bee management strategies. In the protein supplemented treatment, colonies were continuously provided a commercial protein supplement containing 25% w/w pollen, in addition to any feed normally provided by beekeepers in that region. In the fumagillin treatment, colonies were treated with the label dose of Fumagilin-B® each year during the fall. Neither treatment provided consistent benefits across all sites and dates. Fumagillin was associated with a large increase in honey production only at the Northern Alberta site, while protein supplementation produced an early season increase in brood production only at the Southern Alberta site. The protein supplement provided no long-lasting benefit at any site and was also associated with an increased risk of death and decreased colony size later in the study. Differences in colony survival and productivity among regions, and among colonies within beekeeping operations, were far larger than the effects of either treatment, suggesting that returns from extra feed supplements and fumagillin were highly contextually dependent. We conclude that use of fumagillin is safe and sometimes beneficial, but that beekeepers should only consider excess protein supplementation when natural forage is limiting.

Rate and Predictors of Satisfaction after Noninvasive Facial Cosmetic Procedures: A National Study in Saudi Arabia.

Background: In response to the growing popularity of noninvasive facial cosmetic procedures, this study assessed the rate and predictors of satisfaction with such procedures in Saudi Arabia, filling a research gap and emphasizing the role of patient satisfaction in optimizing care and understanding the economic implications for healthcare. Methods: This cross-sectional study was conducted from May to June 2023 using an online self-administered questionnaire distributed across all regions of Saudi Arabia. Eligible participants were Saudi adults aged 18 years and older who had undergone noninvasive facial cosmetic procedures. Patients who underwent surgical/invasive cosmetic procedures, nonfacial interventions, or interventions performed by doctors other than plastic surgeons or dermatologists were excluded. Results: Most participants reported satisfaction with their procedures. Significant predictors of satisfaction included sex, income, and residential area. Women, higher-income individuals, and residents of certain areas were more likely to report satisfaction. Participants also expressed a high level of satisfaction with the friendly and polite treatment they received from their doctors but showed dissatisfaction with the difficulty they faced in securing immediate postprocedure appointments. Conclusions: This study provides valuable insights into the rate and predictors of satisfaction after noninvasive facial cosmetic procedures in Saudi Arabia. These findings underscore the importance of considering sociodemographic factors in patient satisfaction and suggest areas for improvement in patient care, particularly in facilitating immediate postprocedure appointments. Future research should continue to explore these and other potential predictors to further improve patient outcomes in the field of noninvasive facial cosmetic procedures.

Work stress, work-family conflict, and psychological distress among resort employees: a JD-R model and spillover theory perspectives.

The hospitality industry is well-known for its challenging and high-pressure work settings. In this context, employees commonly face a multitude of stressors originating from their roles and job responsibilities, which can significantly impact their psychological wellbeing. Hence, based on the job demands-resources (JD-R) model and the spillover theory, this study aims to empirically explore the direct and indirect effect of work stress (assessed by role overload, ambiguity, and conflict) on psychological distress among frontline employees in 3- and 4-star Egyptian resorts while considering the mediating influence of work-family conflict (WFC). Four hypotheses were put to the test through the application of the PLS-SEM 4.0 version (4.0.9.9). Based on the findings from 563 frontline employees who participated in this research, the study supports the four hypotheses affirming that work-related stressors significantly contributed to employees' psychological distress. Further, the findings highlighted that these stressors significantly spill over into employees' family lives, generating conflicts between work and family roles. In addition, the results emphasized the significance of WFC as a contributing factor to employees' psychological distress. Finally, the study concluded that WFC partially mediates the link between work stress and employees' psychological distress. Based on these findings, some theoretical and practical implications for hospitality scholars, resort management, and policymakers were suggested to enhance the employees' wellbeing and mitigate psychological distress in this vital sector.

A Review of Different Manufacturing Methods of Metallic Foams.

Metallic foam is a popular topic due to its diverse industrial applications and unique combination of properties. Metallic foam is significantly lighter than nonfoam metal materials due to its porous structure, which incorporates a substantial amount of air or voids. This lower density makes metallic foam advantageous in applications in which weight reduction is critical. This makes it ideal for the aerospace, automotive, and construction industries; also, its versatile nature continues to make it an attractive material for various industrial applications such as impact absorbers, heat exchangers, and biomedical and marine engineering. However, the choice between metallic foam and nonfoam metal also depends on other factors like mechanical properties, cost, and specific application requirements. This review describes various fabrication methods of metallic foam that include the liquid metallurgy route which uses liquid or semiliquid metal, the powder metallurgy route uses metal in powder form, metal ion, and the metal vapor route which uses electrolytic deposition method to produce metallic foam. These methods include direct gas injection, adding blowing agents in solid or liquid metals, investment casting, the addition of a space holder in the precursor, metallic ion, vapor deposition on a polymer sponge, and many more. The morphology of metallic foam depends upon the method that is chosen for fabrication, and up to 98% porosity can be achieved by these methods. Additive manufacturing for metallic foam fabrication is an emerging field based on selective laser melting and electron beam melting principles. It has exceptional possibilities for generating complicated 3D shapes and customizing the material characteristics. The main purpose of this review article is to give significant insights into the various production procedures for metallic foams to researchers, engineers, and industry experts, assisting in the selection of acceptable methods depending on individual application needs. This review investigates the manufacturing conditions for metallic foams and finally discusses their advantages, drawbacks, and obstacles in mass production. The findings add to current efforts to expand metallic foam technology and encourage its wider application across diverse sectors, opening the path for future research and development.

Knowledge and Attitude Regarding Cutaneous Leishmaniasis Among Adult Population in Tabuk, Saudi Arabia.

Background Cutaneous leishmaniasis (CL) is a major health problem in Saudi Arabia. It is caused by the protozoa Leishmania. The vector is female sand flies. In order to develop preventive strategies to reduce the burden of this health problem, public awareness of the disease should be assessed. Objective This study aimed to investigate the knowledge and attitude toward CL among the adult population in Tabuk, Saudi Arabia. Methods A cross-sectional survey study was conducted on 385 adult participants of Tabuk between April and May 2022. The investigators assembled the survey questions from peer-reviewed articles with some modifications. Google Forms was used to create the online survey. Social media were used to distribute the survey. Results The study revealed that hearing about CL was much more common among participants older than 61 years and Saudi males. The most prominent sources of information for the participants on which their answers were based were as follows: families and friends, health care professionals, television or radio, and lastly, newspapers. Subjects older than 61 years also showed more knowledge of the risk factors for contracting CL. However, the participants showed overall poor knowledge of the clinical presentation of the disease, which gender or age group was mostly affected, or how the disease was transmitted. Likewise, their knowledge of sand flies was poor. Most participants did not know if CL was a health problem or not. Conclusions The study revealed overall poor awareness of the epidemiological aspects of CL, how it is transmitted, its clinical presentation, and proper management. Our study could help authorities correct the gap in knowledge regarding CL in Tabuk.

Assessment of Adherence to Cardiovascular Medicines in Saudi Population: An Observational Study in Patients Attending a Tertiary Care Hospital.

BACKGROUND: Drug adherence has been extensively evaluated in many developed countries in the West using different methods of medication adherence measurement; however, there are relatively few reports studying the adherence levels among Saudi patients. Thus, this study will evaluate the adherence to cardiovascular medicines in Saudi patients visiting (PSCC) in Al-Qassim, Saudi Arabia. METHODS: This cross-sectional observational study relied on self-administered questionnaires. This study used the Morisky, Green, and Levine (MGL) Adherence Scale, also known as the MAQ (Medication Adherence Questionnaire), in PSCC's pharmacy waiting room in Qassim, Saudi Arabia. RESULTS: This study included 993 PSCC pharmacy waiting room patients. The patients were between 11 and 50 years old, and 52.7 percent were male. Most participants (71.2%) were above 50, while 16.3% were 41-50. Non-adherent patients cited traveling or being busy (28.6%), forgetting (18.7%), daily multi-medications (7.1%), being sleepy or sleeping (6.6%), and not repeating the prescription (6.6%). The Medicine Adherence Questionnaire indicated that 62.6 percent of patients fully adhered to their medications, and 21.6 percent usually adhered. Only drug adverse effects affected adherence (p =0.0001). CONCLUSION: The current study showed that there is a good level of adherence among patients with cardiovascular diseases toward their diseases. The most common reasons for neglecting medications include traveling or being busy, forgetting multiple medications, and being tired or sleeping. Having experience with side effects was the only significant factor affecting adherence to medications.

Pediatric Burns: A Systematic Review and Meta-Analysis on Epidemiology, Gender Distribution, Risk Factors, Management, and Outcomes in Emergency Departments.

Pediatric burns pose a significant public health concern, ranking as the fifth most common nonfatal injury globally. This review consolidates data on the epidemiology, outcomes, and management of pediatric burns presenting to emergency departments. A systematic review was conducted across multiple databases, yielding 22 articles from 1992 to 2020. Utilizing the methodological index for non-randomized studies (MINORS) instrument, non-comparative studies scored from 2 to 11 with an average of 6.87, while comparative studies ranged from 12 to 16, averaging 13.67. The review included a total of 828,538 pediatric patients who were evaluated in the systematic review. Predominantly male victims ranged from 53% to 83%. The youngest victims were aged between 0 to 4 years. Burn etiology was largely attributed to scalds. A majority suffered from second-degree burns, with some studies reporting up to 89%. Limited data on total body surface area (TBSA) were documented, with only 2.5% requiring hospitalization. Common interventions included immediate resuscitation and skin grafting. Essential areas for future research are identified, including household risks, pre-treatment decisions, and the significant role of family dynamics in burn injury recovery. Pediatric burns remain a considerable concern, particularly among males and in household environments. The data underline the imperative for prevention strategies and optimized emergency care to positively influence outcomes for burn victims. Future research areas range from evaluating pre-treatment decisions to assessing community awareness regarding burn first aid.

Can a Machine Ace the Test? Assessing GPT-4.0's Precision in Plastic Surgery Board Examinations.

Background: As artificial intelligence makes rapid inroads across various fields, its value in medical education is becoming increasingly evident. This study evaluates the performance of the GPT-4.0 large language model in responding to plastic surgery board examination questions and explores its potential as a learning tool. Methods: We used a selection of 50 questions from 19 different chapters of a widely-used plastic surgery reference. Responses generated by the GPT-4.0 model were assessed based on four parameters: accuracy, clarity, completeness, and conciseness. Correlation analyses were conducted to ascertain the relationship between these parameters and the overall performance of the model. Results: GPT-4.0 showed a strong performance with high mean scores for accuracy (2.88), clarity (3.00), completeness (2.88), and conciseness (2.92) on a three-point scale. Completeness of the model's responses was significantly correlated with accuracy (P < 0.0001), whereas no significant correlation was found between accuracy and clarity or conciseness. Performance variability across different chapters indicates potential limitations of the model in dealing with certain complex topics in plastic surgery. Conclusions: The GPT-4.0 model exhibits considerable potential as an auxiliary tool for preparation for plastic surgery board examinations. Despite a few identified limitations, the generally high scores on key parameters suggest the model's ability to provide responses that are accurate, clear, complete, and concise. Future research should focus on enhancing the performance of artificial intelligence models in complex medical topics, further improving their applicability in medical education.

Nationwide Study: Public Adults' Perception of Cosmetic Surgery in Saudi Arabia.

Background: Knowing what influences people to pursue cosmetic surgery can aid current and aspiring cosmetic surgeons as they develop their techniques and enhance their market practice. This study aimed to evaluate Saudi adults' perceptions of cosmetic surgery using the three subscales of the Acceptance of Cosmetic Surgery Scale, namely Social, Consider, and Intrapersonal. Methods: This cross-sectional, nationwide study involved members of the public from all provinces of Saudi Arabia. The inclusion criteria were being a Saudi resident over 18 years old and consenting to participate; those who did not meet the criteria were excluded. The study was implemented between October 25 and December 16, 2022. The electronic survey was composed of a demographic characteristics section and a previously constructed questionnaire modified for Arabic speakers to assess the population's perceptions of cosmetic surgery. Statistical analysis was conducted using the SPSS 22 statistical package. Results: Of the 8006 Saudi adults who participated in the study, 5551 (69.3%) were women, and 2245 (30.7%) were men. We found that intrapersonal factors were the primary motivator, followed by factors addressed by the Consider and Social subscales. However, attitudes differed by gender, age, and other demographic characteristics: men and younger individuals (18-29) showed the lowest score for likelihood to pursue cosmetic surgery, whereas women and older individuals (40-50) ranked the highest on total scale scores. Overall, the Saudi adult population showed diminished perceptions of cosmetic surgery nationwide. Conclusion: The results confirmed the authors' hypothesis that there is a diminished perception of cosmetic surgery among adults in Saudi Arabia.

Phytochemicals-based ß-amyloid cleaving enzyme-1 and MAO-B inhibitors for the treatment of Alzheimer's disease: molecular simulations-based predictions.

Alzheimer's disease (AD) is among the highly prevalent neurodegenerative disorder of the aging brain and is allied with cognitive and behavioral abnormalities. Unfortunately, there is very limited drug discovery for the effective management of AD, and the clinically approved drugs have limited efficacy. Consequently, there is an immediate demand for the development of new compounds that have the ability to act as multitarget-directed ligands (MTDLs). As major pathological targets of the disease, the current study aimed to investigate lead natural bioactive compounds including apigenin, epigallocatechin-3-gallate, berberine, curcumin, genistein, luteolin, quercetin, resveratrol for their inhibitory potentials against ß-amyloid cleaving enzyme-1 (BACE1) and monoamine oxidase-B (MAO-B) enzymes. The study compounds were docked against the target enzymes (MAO-B and BACE1) using MOE software and subsequent molecular dynamics simulations (MDS) studies. The molecular docking analysis revealed that these phytochemicals (MTDLs) showed good interactions with the target enzymes as compared to the reference inhibitors. Among these eight phytocompounds, the epigallocatechin-3-gallate compound was an active inhibitor against both drug targets, with the highest docking scores and good interactions with the active residues of the enzymes. Furthermore, the docking result of the active one inhibitor in complex with the target enzymes (epigallocatechin-3-gallate/BACE1, epigallocatechin-3-gallate/MAO-B, reference/BACE1 and reference/MAO-B) were further validated by MDS. According to the findings of our study, epigallocatechin-3-gallate has the potential to be a candidate for use in the treatment of neurological illnesses like AD. This compound has MTDL potential and may be exploited to create new compounds with disease-modifying features.Communicated by Ramaswamy H. Sarma.

Application of CRISPR-Cas System to Mitigate Superbug Infections.

Multidrug resistance in bacterial strains known as superbugs is estimated to cause fatal infections worldwide. Migration and urbanization have resulted in overcrowding and inadequate sanitation, contributing to a high risk of superbug infections within and between different communities. The CRISPR-Cas system, mainly type II, has been projected as a robust tool to precisely edit drug-resistant bacterial genomes to combat antibiotic-resistant bacterial strains effectively. To entirely opt for its potential, advanced development in the CRISPR-Cas system is needed to reduce toxicity and promote efficacy in gene-editing applications. This might involve base-editing techniques used to produce point mutations. These methods employ designed Cas9 variations, such as the adenine base editor (ABE) and the cytidine base editor (CBE), to directly edit single base pairs without causing DSBs. The CBE and ABE could change a target base pair into a different one (for example, G-C to A-T or C-G to A-T). In this review, we addressed the limitations of the CRISPR/Cas system and explored strategies for circumventing these limitations by applying diverse base-editing techniques. Furthermore, we also discussed recent research showcasing the ability of base editors to eliminate drug-resistant microbes.

ChatGPT Conquers the Saudi Medical Licensing Exam: Exploring the Accuracy of Artificial Intelligence in Medical Knowledge Assessment and Implications for Modern Medical Education.

Background The application of artificial intelligence (AI) in education is undergoing rapid advancements, with models such as ChatGPT-4 showing potential in medical education. This study aims to evaluate the proficiency of ChatGPT-4 in answering Saudi Medical Licensing Exam (SMLE) questions. Methodology A dataset of 220 questions across four medical disciplines was used. The model was trained using a specific code to answer the questions accurately, and its performance was assessed using key performance indicators, difficulty level, and exam sections. Results ChatGPT-4 demonstrated an overall accuracy of 88.6%. It showed high proficiency with Easy and Average questions, but accuracy decreased for Hard questions. Performance was consistent across all disciplines, indicating a broad knowledge base. However, an error analysis revealed areas for further refinement, particularly with category (Option) A questions across all sections. Conclusions This study underscores the potential of ChatGPT-4 as an AI-assisted tool in medical education, demonstrating high proficiency in answering SMLE questions. Future research is recommended to expand the scope of training and evaluation as well as to enhance the model's performance on complex clinical questions.

Identification of Wheat Ideotype under Multiple Abiotic Stresses and Complex Environmental Interplays by Multivariate Analysis Techniques.

Multiple abiotic stresses negatively impact wheat production all over the world. We need to increase productivity by 60% to provide food security to the world population of 9.6 billion by 2050; it is surely time to develop stress-tolerant genotypes with a thorough comprehension of the genetic basis and the plant's capacity to tolerate these stresses and complex environmental reactions. To approach these goals, we used multivariate analysis techniques, the additive main effects and multiplicative interaction (AMMI) model for prediction, linear discriminant analysis (LDA) to enhance the reliability of the classification, multi-trait genotype-ideotype distance index (MGIDI) to detect the ideotype, and the weighted average of absolute scores (WAASB) index to recognize genotypes with stability that are highly productive. Six tolerance multi-indices were used to test twenty wheat genotypes grown under multiple abiotic stresses. The AMMI model showed varying differences with performance indices, which disagreed with the trait and genotype differences used. The G01, G12, G16, and G02 were selected as the appropriate and stable genotypes using the MGIDI with the six tolerance multi-indices. The biplot features the genotypes (G01, G03, G11, G16, G17, G18, and G20) that were most stable and had high tolerance across the environments. The pooled analyses (LDA, MGIDI, and WAASB) showed genotype G01 as the most stable candidate. The genotype (G01) is considered a novel genetic resource for improving productivity and stabilizing wheat programs under multiple abiotic stresses. Hence, these techniques, if used in an integrated manner, strongly support the plant breeders in multi-environment trials.

A Quantum Genetic Algorithm for Building a Semantic Textual Similarity Estimation Framework for Plagiarism Detection Applications.

The majority of the recent research on text similarity has been focused on machine learning strategies to combat the problem in the educational environment. When the originality of an idea is copied, it increases the difficulty of using a plagiarism detection system in practice, and the system fails. In cases like active-to-passive conversion, phrase structure changes, synonym substitution, and sentence reordering, the present approaches may not be adequate for plagiarism detection. In this article, semantic extraction and the quantum genetic algorithm (QGA) are integrated in a unified framework to identify idea plagiarism with the aim of enhancing the performance of existing methods in terms of detection accuracy and computational time. Semantic similarity measures, which use the WordNet database to extract semantic information, are used to capture a document's idea. In addition, the QGA is adapted to identify the interconnected, cohesive sentences that effectively convey the source document's main idea. QGAs are formulated using the quantum computing paradigm based on qubits and the superposition of states. By using the qubit chromosome as a representation rather than the more traditional binary, numeric, or symbolic representations, the QGA is able to express a linear superposition of solutions with the aim of increasing gene diversity. Due to its fast convergence and strong global search capacity, the QGA is well suited for a parallel structure. The proposed model has been assessed using a PAN 13-14 dataset, and the result indicates the model's ability to achieve significant detection improvement over some of the compared models. The recommended PD model achieves an approximately 20%, 15%, and 10% increase for TPR, PPV, and F-Score compared to GA and hierarchical GA (HGA)-based PD methods, respectively. Furthermore, the accuracy rate rises by approximately 10-15% for each increase in the number of samples in the dataset.

Epidermolysis Bullosa Simplex With Dystonin Gene Mutation: First Reported Case in Saudi Arabia.

We report a case of a 3-year-old Saudi female patient as the first case reported in Saudi Arabia who is homozygous for dystonin c.3370C>T, p.(Gln1124*). At the age of 3 months, the girl started to develop numerous vesicles and bullae involving the dorsum of the feet that were not on a pressure site, with remission and aggravation, but she had no mucosal lesions or nail affection. The patient was diagnosed with epidermolysis bullosa simplex.

Pharmacological evaluations of amide carboxylates as potential anti-Alzheimer agents: anti-radicals, enzyme inhibition, simulation and behavioral studies in animal models.

Alzheimer's disease (AD) is a neurological disorder that progresses gradually but irreversibly leading to dementia and is difficult to prevent and treat. There is a considerable time window in which the progression of the disease can be intervened. Scientific advances were required to help the researchers to identify the effective methods for the prevention and treatment of disease. This research was designed to investigate potential mediators for the remedy of AD, five new carboxylate amide zinc complexes (AAZ9-AAZ13) were synthesized and characterized by spectroscopic and physicochemical techniques. The biological evaluation was carried out based on the cholinesterase inhibitory mechanism. The preparation methodology provided the effective synthesis of targeted moieties. The in vitro pharmacological activities were evaluated involving AChE/BChE inhibition and antioxidant potential. All synthesized compounds displayed activity against both enzymes in higher or comparable to the standard drug Galantamine, a reversible inhibitor but the results displayed by compound AAZ10 indicated IC50 of 0.0013 µM (AChE) and 0.061 µM (BChE) as high values for dual AChE/BChE inhibition with potent anti-oxidant results. Structure activity relationship (SAR) indicated that the potent activity of compound AAZ10 appeared due to the presence of nitro clusters at the ortho position of an aromatic ring. The potent synthesized compound AAZ10 was also explored for the in-vivo Anti-Alzheimer activity and anti-oxidant activity. Binding approaches of all synthesized compounds were revealed through molecular docking studies concerning binding pockets of enzymes that analyzed the best posture interaction with amino acid (AA) residues providing an appreciable understanding of enzyme inhibitory mechanisms. Results indicate that synthesized zinc (II) amide carboxylates can behave as an effective remedy in the treatment of Alzheimer's disease.Communicated by Ramaswamy H. Sarma.

Effects of dialkoxybenzenes against Varroa destructor and identification of 1-allyloxy-4-propoxybenzene as a promising acaricide candidate.

The honey bee is responsible for pollination of a large proportion of crop plants, but the health of honey bee populations has been challenged by the parasitic mite Varroa destructor. Mite infestation is the main cause of colony losses during the winter months, which causes significant economic challenges in apiculture. Treatments have been developed to control the spread of varroa. However, many of these treatments are no longer effective due to acaricide resistance. In a search of varroa-active compounds, we tested the effect of dialkoxybenzenes on the mite. A structure-activity relationship revealed that 1-allyloxy-4-propoxybenzene is most active of a series of dialkoxybenzenes tested. We found that three compounds (1-allyloxy-4-propoxybenzene, 1,4-diallyloxybenzene and 1,4-dipropoxybenzene) cause paralysis and death of adult varroa mites, whereas the previously discovered compound, 1,3-diethoxybenzene, which alters host choice of adult mites in certain conditions, did not cause paralysis. Since paralysis can be caused by inhibition of acetylcholinesterase (AChE), a ubiquitous enzyme in the nervous system of animals, we tested dialkoxybenzenes on human, honey bee and varroa AChE. These tests revealed that 1-allyloxy-4-propoxybenzene had no effects on AChE, which leads us to conclude that 1-allyloxy-4-propoxybenzene does not exert its paralytic effect on mites through AChE. In addition to paralysis, the most active compounds affected the ability of the mites to find and remain at the abdomen of host bees provided during assays. A test of 1-allyloxy-4-propoxybenzene in the field, during the autumn of 2019 in two locations, showed that this compound has promise in the treatment of varroa infestations.