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In a previous study with LSL-LITE layers (-23 to 30-week-old), isoleucine at 0.72% and 0.84% produced values for FCR at 1.45 and 1.44, respectively and shared significance with 0.78% isoleucine (1.49). Considering that FCR is an important standard in the poultry industry due to the cost for adding feed ingredients such as synthetic amino acids and the low FCR of 1.45, 0.72% isoleucine was chosen for further study with LSL-LITE layers (n = 490 at 33- to 40-week-old) to determine effects on production and egg quality. The study included 7 diets (2730 Kcal kg metabolizable energy and constant isoleucine at 0.72%) containing varying quantities of valine [0.72 (Control), 0.75, 0.78, 0.81, 0.84, 0.87 or 0.90%] x 7 replicates x 10 hens/replicate. Significance at P ≤ 0.05 and P < 0.10 was determined. Level and week were significant for feed intake, egg production, and FCR; the interaction of level x week (L*W) was significant for feed intake and FCR. An isoleucine:valine of 1.233 corresponding to 0.72% isoleucine and 0.87% valine produced the lowest FCR of 1.30 (a 2.26% decrease compared to the Control at 1.33 ± 0.04). All measurements for external egg quality, except shape index and eggshell thickness, were significant for level. Week was significant for all parameters except shell thickness; L*W was significant for external quality measurements except shape index and shell thickness. Level, week, and L*W were significant for internal egg quality measurements. Serum protein and H1 titer were significant for level. Various production, egg quality, and biochemical measurements were significantly different from the control (0.72% isoleucine and 0.72% valine) at 0.81 to 0.87% valine. Findings of this study will aid researchers and commercial producers in narrowing the range of isoleucine, valine, and leucine needed for effects on particular parameters. Knowledge gained from this and others studies will eventually lead to an understanding of synergistic and antagonistic effects of branched chain amino acids in feed for various genetic types of layers throughout their productive lifetime.

Background: Accurate measurement is indispensable for effectively managing hypertension (HTN); any error in technique or instrumentation can lead to misdiagnosis and improper management. Thus, the present study aimed to assess the knowledge and skills of blood pressure (BP) measurement among nurses at a tertiary care cardiac center in Karachi. Materials and methods: Nursing staff responsible for BP assessment at various stations were identified, observed, and interviewed to evaluate their skill and knowledge levels regarding BP measurement techniques. Nurses' skill levels were assessed using a checklist based on the American Heart Association (AHA) guidelines for BP assessment. Results: Seventy-five nurses participated in the study, with 49 (65.3%) being male and a mean age of 32.1 ± 6.2 years. Only 25 (33.3%) nurses reported reading the AHA guidelines for BP measurement. None of the nurses demonstrated excellent skills; 19 (25.3%) showed good skills, while 56 (74.7%) showed poor skills in BP measurement. A poor compliance was observed on a total of 14/31 steps with compliance rate of less than 50%. Similarly, none of the nurses exhibited excellent knowledge; only 3 (4%) had good knowledge, while 72 (96%) had poor knowledge about BP measurement. A poor knowledge was observed on a total of 18/36 items with correct response rate of less than 50%. Conclusion: Nurses working at various stations of a tertiary cardiac center exhibited inadequate skills and knowledge regarding BP measurement. This underscores the necessity for comprehensive training and education to enhance the accurate assessment of BP. [ABSTRACT FROM AUTHOR]

Many insect species display daily variation of sensitivity to insecticides when they are exposed to the same concentration at different times during the day. To date, this has not been investigated in bed bugs. To address this, we explored circadian rhythms in insecticide susceptibility, xenobiotic metabolizing (XM) gene expressions, and metabolic detoxification in the common bed bug, Cimex lectularius. An insecticide susceptible Monheim strain of C. lectularius was most tolerant of deltamethrin during the late photophase at ZT9 (i.e. nine hours after light is present in the light-dark cycle (LD) cycle) and similarly repeated at CT9 (i.e. nine hours into the subjective day in constant darkness (DD)) suggesting endogenous circadian involvement in susceptibility to deltamethrin. No diel rhythm was observed against imidacloprid insecticide despite significant daily susceptibility in both LD and DD conditions. Rhythmic expressions of metabolic detoxification genes, GSTs1 and CYP397A1 displayed similar expression patterns with total GST and P450 enzyme activities in LD and DD conditions, respectively. The oscillation of mRNA levels of GSTs1 and CYP397A1 was found consistent with peak phases of deltamethrin susceptibility in C. lectularius. This study demonstrates that circadian patterns of metabolic detoxification gene expression occur within C. lectularius. As a consequence, insecticide efficacy can vary dramatically throughout a 24 hour period.

Assessing vocabulary skills is a crucial aspect of educational interventions for students with disabilities, as it directly influences their academic progress, overall communication abilities, and quality of life. This study aims to explore professionals' perceptions regarding the vocabulary assessments used with students with disabilities. By gaining insights into their perspectives and experiences, we can improve the assessment process and enhance instructional practices, ultimately contributing to a better Quality of Life (QoL) for these students. Data were collected through a survey questionnaire completed by 375 professionals working in the field of special education. The findings indicate that professionals in the private sector express higher satisfaction levels and demonstrate better proficiency in applying vocabulary assessment tools compared to those in the public sector. Furthermore, the results reveal that professionals specializing in speech and language disorders report higher satisfaction levels compared to professionals in other specialized areas. [ABSTRACT FROM AUTHOR]

The increasing cost of prescription drugs has high concern and associated with medication nonadherence and adverse health outcomes. The use of generic prescription drugs by the patients depends on if recommended by competent healthcare providers. Generic medicines, which are cheaper and bioequivalent to brand-name drugs, offer an opportunity to reduce healthcare expenditures of Saudi Arabia's healthcare system as per the Vision 2030 plan. Therefore, the current study was conducted to assess the population awareness, attitude and perception towards the generic medications particularly those locally manufactured in Saudi Arabia. We managed a cross-sectional, questionnaire-based study and included indices like demographic sections, knowledge of generic medications, perception of generic medication use, and previous experience. Data was collected over 12 weeks from February 2022 to April 2022 using an online survey tool. A study of 462 participants found that the majority were male (54.97%), young (55.4%), with a graduate or post-graduate degree (73.5%) and employed (43.29%). The majority reported good health, with 75.5% reporting good health. The study found significant differences in knowledge about generic drugs, their country of origin, and their benefits and utility. Most participants had positive attitudes towards generic medications, with 45% believing they are as effective as those from other countries. The study also revealed a significant difference in participants' experience and usage of medications particularly satisfaction to health outcome. Enhancing healthcare professionals' perceptions of generics can positively influence patient/consumer opinions and trust in generic medicines. Patients' high trust in prescribing physicians also influences these opinions, as their opinions can influence patient/consumer opinions. [ABSTRACT FROM AUTHOR]

Background: Eating habits are important determinants of health. Young adults who have recently transitioned to university life experience stress and lack of time, which are major risk factors for poor eating habits. This study's objectives were to identify and compare eating habits between students at health and non-health colleges at Northern Border University (NBU), Saudi Arabia and to determine the relationship between students' eating habits and their sociodemographic, lifestyle, and psychological factors. Methods: This comparative cross-section study was conducted on 480 students equally from health and non-health colleges at NBU from March to April 2023. A pre-designed electronic questionnaire was used to collect data on students' sociodemographic characteristics, eating habits, and diet-related psychological factors. Statistical analyses were carried out using STATA/SE version 11.2 for Windows. Results: Unhealthy eating habits were reported by 44.6% and 41.3% of students at health and non-health colleges, respectively. Most students had irregular meals, skipped breakfast, ate fast food frequently, and consumed insufficient amounts of vegetables, fruits, and water. Parental separation, living away from family predisposed to unhealthy eating habits. Being 21–23 years old, playing sports, and high body mass index were linked to healthy eating habits. Psychological factors such as overeating until the stomach hurts and eating to feel happy were associated with unhealthy eating habits. Conclusion: Unhealthy eating habits were prevalent among students at NBU irrespective of the type of study. Thus, implementing initiatives to promote nutrition and healthy eating habits within the university environment is crucial for health promotion and well-being among students. [ABSTRACT FROM AUTHOR]

The Pythagorean fuzzy set and interval-valued intuitionistic fuzzy set are the basis of the interval-valued Pythagorean fuzzy set (IVPFS) which offers an effective approach to addressing the complex uncertainty in decision-analysis processes, making it applicable across a broad spectrum of applications. This paper introduces several aggregation operators within the IVPF framework, such as the interval-valued Pythagorean fuzzy SS power weighted average operator, and the interval-valued Pythagorean fuzzy SS power geometric operator using the notion of power aggregation operators through Schweizer and Sklar (SS) operations. The existence of SS t-norms and t-conorms in the IVPF framework for addressing multi-attribute decision-making problems gives the generated operator's ability to make the information aggregation approach more adaptable compared to other current ones. The application of the proposed approach holds the potential to enhance crop yield, optimize resource utilization, and contribute to the overall sustainability of agriculture. Additionally, sensitivity and comparative analyses are provided to clarify the stability and dependability of the results acquired through this approach. [ABSTRACT FROM AUTHOR]

The red palm weevil, Rhynchophorus ferrugineus (Oliver, 1970) (Coleoptera: Dryophthoridae) is the most devastating insect-pest of palm trees worldwide. Synthetic insecticides are the most preferred tool for the management of RPW. Alternatively, RNA interference (RNAi) mediated silencing of crucial genes provides reasonable control of insect pests. Recently, we have targeted four important genes; ecdysone receptor (EcR), serine carboxypeptidase (SCP), actin and chitin-binding peritrophin (CBP) in the 3rd and 5th instar larvae RPW. The results from 20 days trial showed that the survival rate of 3rd instar larvae fed on SCP and actin dsRNAs exhibited the lowest survival (12–68%). While, in the 5th instar larvae, the lowest survival rate (24%) was recorded for SCP after 20 days of incubation. Similarly, the weight of the 3rd and 5th instar larvae treated with SCP and actin was significantly reduced to 2.30–2.36 g and 4.64–4.78 g after 6 days of dsRNA exposure. The larval duration was also decreased significantly in the larvae treated with all the dsRNA treatments. The qRT-PCR results confirmed a significant suppression of the targeted genes as 90–97% and 85–93% in the 3rd and 5th instar larvae, respectively. The results suggest that the SCP and the actin genes can be promising targets to mediate RNAi-based control of RPW. [ABSTRACT FROM AUTHOR]

Background: Prehypertension is a preclinical state of hypertension which leads to an increased likelihood of coronary heart disease, myocardial infarction, cerebrovascular disease as well as target organ damage. Addressing pre-hypertension through early lifestyle interventions is crucial to mitigating these detrimental effects and improving long-term health outcomes. So, the main objective of this study is to develop a lifestyle intervention program (LSIP) for the management of prehypertension using consensus building approach. Methods: It was a three round online modified Delphi study with 70 members panellists. All panellists had an experience of prehypertension either as patients (n = 30) or professionals (n = 40). Round 1 included initial recommendations developed from a previous systematic review and metanalysis, which were rated by panellists for their importance on a 5-point Likert scale. Panellists could also suggest additional items in the Round 1. Round 2 and 3 included all items from the Round 1 with new items suggested by the panellists. Data was analysed descriptively using SPSS version 29. All items receiving at least 70% of all respondents combined rating of 'Important' and 'Very Important' in Round 3 were included in the final set of recommendations. Results: Fifty-one panellists (80.9%) (patients = 25, professionals = 26) completed Round 3. Twenty-six recommendation items were included in the Round 1. Twenty new items were added in Round 2 with 46 total items in Round 2 and 3. Thirty-five of these items reached consensus in Round 3. The final set of recommendation comprised of 15 educational. 10 dietary, and 10 exercise recommendations. Conclusion: This modified Delphi study developed a comprehensive LSIP for the prevention of prehypertension, incorporating a holistic approach with educational, dietary, and exercise components aimed at the general population. Previously established standards of care (SOC) for managing prehypertension varied significantly and often provided fragmented guidance particularly on physical activity and education. This preventive model offers a novel and scalable approach for early intervention in prehypertension, potentially reducing reliance on medications and improving long-term health outcomes. [ABSTRACT FROM AUTHOR]

The primary objective of this research was to investigate nutritional composition of soybean, canola, cottonseed, palm and rapeseed oils under and the effect of storage conditions on their oxidative stability. Nutritional quality of selected seed oils was determined in term of fatty acids, tocopherols and tocotrienols compositions, total phenolic, total flavonoids and mineral contents. High resolution gas chromatography (HR-GC) analysis showed the presence of saturated, monounsaturated and polyunsaturated fatty acids having range from 9.21–43.25, 27.01–58.87 and 29.23–57.75 g/100g, respectively in all the oils. High performance liquid chromatography (HPLC) analysis revealed that γ–tocopherol was the major tocopherol followed by α-tocopherol in most of the oils. Spectrophotometric analysis showed that the total phenolic contents were 2.84–14.44 mg/g of oil, measured as gallic acid equivalent and total flavonoid contents were 0.44–1.56 mg/g of oil, measure as quercetin equivalent. Inductively coupled plasma-optical emission spectrophotometer analysis revealed that Mg, Fe and Mn were present in higher concentration ranging from 57.14–114.85, 126.87–460.06 and 106.85–538.39 μg/ml respectively. For study the effect of various storage conditions on the oxidation parameters, free fatty acid, peroxide value, para-anisidine value, conjugated dienes and trienes values were determined and ranging from 0.48–1.65, 10.65–40.15 meq/kg, 9.98–33.30, 8.74–28.41 and 3.86–15.02, respectively after 90 days storage. Statistical analysis revealed that various storage conditions exerted significant (p ≤ 0.05) effect on the oxidative stability of selected oils to different extent. [ABSTRACT FROM AUTHOR]

In Canada, the COVID-19 pandemic was initially characterized by emergency government responses that disrupted daily life, especially for marginalized groups. This study explored the vulnerabilities and capacities of international students studying at a university in Calgary, Canada during the first phase of the pandemic. Guided by the Capacities and Vulnerabilities Analysis framework, we thematically analyzed 11 semi-structured interviews with international students. We found that material vulnerabilities included balancing finances, housing conditions, lack of information, food inaccessibility, reliance on public transport, and poor mental health, social vulnerabilities included lack of social support, culture shock, and racism, and attitudinal vulnerabilities included "nowhere to go", feeling like a burden, and perception of Canada as safe. Material capacities included financial support, knowledge about pandemic, and mental health supports, social capacities included local social support and multilingualism, and attitudinal capacities included resilience, religious and spiritual beliefs, "it's not just about you", and reflexivity. We found overlapping and complex relationships between vulnerabilities and capacities, indicating that while international students' vulnerabilities were exacerbated and introduced challenges during the pandemic, students uniquely leveraged their capacities to offset and recover from challenges. Findings from this study may be informative for stakeholders involved in disaster responses, especially universities and governments, to support international students' capacities and address their vulnerabilities. [ABSTRACT FROM AUTHOR]

Nurses play a crucial role in the adoption and continued use of Electronic Health Records (EHRs), especially in developing countries. Existing literature scarcely addresses how personality traits and organisational support influence nurses' decision to persist with EHR use in these regions. This study developed a model combining the Five-Factor Model (FFM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) to explore the impact of personality traits and organisational support on nurses' continuance intention to use EHR systems. Data were collected via a self-reported survey from 472 nurses across 10 public hospitals in Jordan and analyzed using a structural equation modeling approach (Smart PLS-SEM 4). The analysis revealed that personality traits, specifically Openness, Experience, and Conscientiousness, significantly influence nurses' decisions to continue using EHR systems. Furthermore, organisational support, enhanced by Performance Expectancy and Facilitating Conditions, positively affected their ongoing commitment to EHR use. The findings underscore the importance of considering individual personality traits and providing robust organisational support in promoting sustained EHR usage among nurses. These insights are vital for healthcare organisations aiming to foster a conducive environment for EHR system adoption, thereby enhancing patient care outcomes. [ABSTRACT FROM AUTHOR]

Staphylococcus aureus infections are the primary causes of morbidity, and mortality, particularly in immuno-compromised individuals. S. aureus associated infections are acquired from community, as well as hospital settings, and difficult to treat because of the emerging resistance against available antibiotics. One of the key factors of its resistance is the biofilm formation, which can be targeted to treat S. aureus-induced infections. Currently, there is no drug available that function by targeting the biofilm. This unmet need demands the discovery of drug candidates against S. aureus biofilm. The present study was designed to evaluate coumarin derivatives 1–21 against S. aureus biofilm. The 96-well plate crystal violet assay was employed for the quantification of biofilm. Results showed that the coumarin derivatives 2–4, 10, and 17 possess potent antibiofilm activity, with MBIC values between 25–100 μg/mL. The results were further confirmed through atomic force microscopy (AFM), scanning electron (SEM), and fluorescence microscopic studies. The quantitative RT-PCR analysis revealed the downregulation of biofilm associated genes, icaA and icaD. These coumarin derivatives were also found to be non-cytotoxic to fibroblasts. This study, therefore, identifies the antibiofilm potential of coumarin derivatives that will pave the way for further research on these derivatives. [ABSTRACT FROM AUTHOR]

Vehicular Adhoc Network (VANET) suffers from the loss of perilous data packets and disruption of links due to the fast movement of vehicles and dynamic network topology. Moreover, the reliability of the vehicular network is also threatened by malicious vehicles and messages. The malicious vehicle can promulgate fake messages to the node to misguide it, which may result in the loss of precious lives. In this situation, maintaining efficient, reliable, and secure communication among automobiles is of extreme importance, especially for a densely populated network. One of the remedies is vehicular clustering, which can effectively perform in a high-density network. However, secure cluster formation and cluster optimization are important factors to consider during the clustering process because non-optimal clusters may incur high end-to-end communication delays and produce overhead on the network. In addition, malicious nodes and packets reduce passenger and driver safety, increase road accidents, and waste passenger and driver time. To this end, we employ Arithmetic Optimization Algorithm (AOA) to design a secure intelligent clustering named AOACNET. AOA is used to achieve optimality of vehicular clusters. During cluster formation, the algorithm prevents unauthentic nodes from becoming cluster members by taking into consideration the performance value of each automobile. The vehicle's performance value is based on the record of data transmission. If a vehicle transmits a fake message, it will receive a penalty of (-1), and in the case of transmitting a legitimate message, a reward of (+1) will be assigned to the vehicle. Initially, all the vehicles have equal performance value which either increase or decrease based on communication with their peers. The vehicles will become cluster members only if their performance value is greater than the threshold value (0). AOACNET is tested in MATLAB using various evaluation metrics (i.e., number of clusters, load balancing, computational time, network overhead and delay). The simulation results show that the proposed algorithm performs up to 25% better than the similar contenders in terms of designated optimization objectives. [ABSTRACT FROM AUTHOR]

Purpose: To evaluate outcomes including safety and efficacy of drug-eluting bead trans-arterial chemo-embolization (DEB-TACE) in the treatment of locally advanced hepatocellular carcinoma (LA-HCC). Materials and methods: In this single-center, retrospective study, we evaluated 471 consecutive patients with LA-HCC who underwent DEB-TACE from 2015 to 2020. Efficacy of DEB-TACE was assessed based on the imaging response using the modified Response Evaluation Criteria in Solid Tumors (mRECIST) and the biochemical response using alpha-fetoprotein (AFP) levels at 1-month follow-up. Adverse events, progression free survival (PFS), and overall survival were also examined. Results: HCC distribution was bilobar in 49% with largest lesion mean size of 4.3 cm ± 3.2, and a majority of patients (46.7%) were Barcelona Club Liver Cancer (BCLC) stage B. Complete radiologic response was achieved in 120 (25.5%) patients, comparable to a reported 28% rate for conventional TACE. Biochemically, 41 (8.7%) patients achieved complete response, and 113 (24%) had a partial response. A total of 59 (12.5%) patients were successfully bridged to liver transplantation. Major adverse events were observed in 3%, while 7.2% experienced post-embolization syndrome. Mean PFS was 6.7 months ± 6.6, and overall survival was 64%, 16.3%, 2.1% at 1, 3, and 5 years, respectively. Conclusion: Based on our real world experience at a single center, DEB-TACE remains the locoregional therapy of choice for LA-HCC due to its favorable safety and efficacy profile. [ABSTRACT FROM AUTHOR]

Alzheimer's disease (AD) is a brain illness that causes gradual memory loss. AD has no treatment and cannot be cured, so early detection is critical. Various AD diagnosis approaches are used in this regard, but Magnetic Resonance Imaging (MRI) provides the most helpful neuroimaging tool for detecting AD. In this paper, we employ a DenseNet-201 based transfer learning technique for diagnosing different Alzheimer's stages as Non-Demented (ND), Moderate Demented (MOD), Mild Demented (MD), Very Mild Demented (VMD), and Severe Demented (SD). The suggested method for a dataset of MRI scans for Alzheimer's disease is divided into five classes. Data augmentation methods were used to expand the size of the dataset and increase DenseNet-201's accuracy. It was found that the proposed strategy provides a very high classification accuracy. This practical and reliable model delivers a success rate of 98.24%. The findings of the experiments demonstrate that the suggested deep learning approach is more accurate and performs well compared to existing techniques and state-of-the-art methods. [ABSTRACT FROM AUTHOR]

In recent decades, unfavorable solubility of novel therapeutic agents is considered as an important challenge in pharmaceutical industry. Supercritical carbon dioxide (SCCO2) is known as a green, cost-effective, high-performance, and promising solvent to develop the low solubility of drugs with the aim of enhancing their therapeutic effects. The prominent objective of this study is to improve and modify disparate predictive models through artificial intelligence (AI) to estimate the optimized value of the Oxaprozin solubility in SCCO2 system. In this paper, three different models were selected to develop models on a solubility dataset. Pressure (bar) and temperature (K) are the two inputs for each vector, and each vector has one output (solubility). Selected models include NU-SVM, Linear-SVM, and Decision Tree (DT). Models were optimized through hyper-parameters and assessed applying standard metrics. Considering R-squared metric, NU-SVM, Linear-SVM, and DT have scores of 0.994, 0.854, and 0.950, respectively. Also, they have RMSE error rates of 3.0982E-05, 1.5024E-04, and 1.1680E-04, respectively. Based on the evaluations made, NU-SVM was considered as the most precise method, and optimal values can be summarized as (T = 336.05 K, P = 400.0 bar, solubility = 0.00127) employing this model. Fig 4 [ABSTRACT FROM AUTHOR]

Background: Interprofessional collaboration involves coordinated efforts by individuals from different professions. Trust is defined as an individual's willingness to be vulnerable within a relationship, while expecting the other party to act in their best interests. This study aimed to assess the attitudes of collaboration and trust among dental and medical professionals in Saudi Arabia. Materials and methods: This cross-sectional study evaluated the attitudes of collaboration and trust among dental and medical professionals in Saudi Arabia using an online self-reported questionnaire distributed via social media. Data analysis was performed using SPSS. Results: The overall mean score for collaborative attitude was 6.2 (SD = 1.52), with 69.23% of participants exhibiting a positive attitude about collaboration. Participants rated family medicine (76.67%) and pediatric medicine (76.41%) as the medical specialties most relevant to dentistry, while obstetrics/gynecology was rated the lowest (32.31%). Dental professionals had a significantly higher mean score for collaborative attitude (m = 6.46, SD = 1.48) than did medical professionals (m = 5.93, SD = 1.51; p < 0.001). The score for dental professionals' trust in medical professionals (DTM) (m = 36.94, SD = 8.06) was significantly higher (p < 0.001) than the score for medical professionals' trust in dental professionals (MTD) (m = 33.81, SD = 8.20). The collaborative attitude scores among dental and medical professionals were not statistically significant when tested against the MTD score (p = 0.777) and DTM score (p = 0.419). Conclusions: There is a high level of collaborative attitude and trust between dental and medical professionals in Saudi Arabia. Dentists exhibit a higher degree of these attributes than medical professionals. These findings support the implementation of a collaborative medical–dental education framework in Saudi Arabia, where both specialties can train together during their undergraduate years. [ABSTRACT FROM AUTHOR]

Enucleation and exenteration are widely utilized ophthalmic procedures in veterinary field. Enucleation in camels is like other large animals, typically performed under the influence of heavy sedation and loco-regional analgesia. The aim of the current study was to introduce a new surgical approach to enucleate the eye of camels through supraorbital fossa approach. for that purpose, the technique was applied to seven camels referred to the King-fisal teaching veterinary hospital for unilateral enucleation. Assessment of applicability, safety and feasibility of this technique was done. All procedures were performed in the kush (sitting) position under the influence of heavy sedation with Xylazine HCl in combination with retrobulbar nerve block. A "C" shaped skin incision was made in the skin and fascia of the supraorbital fossa to enter the orbital cavity, after which the periorbital fat was gripped, dissected and removed. Bleeding controlled by electrocautery and visible large blood vessels were ligated. After ligation the optic nerve and ophthalmic blood vessels, the eyeball was dissected sharply and freed from the orbital bony attachment. Finally, the orbital fascia and skin were sutured with simple interrupted pattern separately. The approach proved successful in all camels, with the enucleation procedure being both feasible and easily performed. The mean surgical time was approximately 46.6±12.4 minutes. The minimal occurrence of short and long-term complications was encouraging, and the cosmetic outcomes were notably improved. The supraorbital approach is a safe and effective technique for camel ophthalmic surgery, showing advantages in exposure and minimal complications. Further research is needed for validation and broader clinical applications. [ABSTRACT FROM AUTHOR]

Citrobacter koseri is a gram-negative rod that causes infections in people who have significant comorbidities and are immunocompromised. Antibiotic-resistant strains are becoming more common, which complicates infection treatment and highlights the need for innovative, effective drugs to fight these resistant strains. The enzyme complex ATP synthase participates in the adenosine triphosphate (ATP) synthesis, the fundamental energy currency of cells. This study used Computer-Aided Drug Design approaches to identify potential inhibitors of C. koseri ATP synthase. SWISS-MODEL was used to predict the 3D structure of C. koseri ATP synthase. A ligand-based pharmacophore model was developed using chemical features of ampicillin. Following ligand-based virtual screening across nine databases, the 2043 screened hits were docked to the ATP synthase active site using the standard precision mode of the glide tool. Based on their binding affinities, the top ten compounds were selected for additional investigation. The binding affinities of the chosen compounds ranged from -10.021 to -8.452 kcal/mol. The top four compounds (PubChem-25230613, PubChem-74936833, CHEMBL263035, PubChem-44208924) with the best ADMET characteristics and binding modes were chosen. Thus, the feasible binding mechanisms of the selected compounds were subjected to stability analysis using the MD Simulation study, which revealed the compounds' stability as potent inhibitors within the protein binding pocket. This computational approach provides important insights into the rational design of novel therapeutics and emphasizes the importance of targeting essential metabolic pathways when combating antibiotic-resistant pathogens. Future experimental validation and optimization of the identified inhibitors is required to determine their efficacy and safety profiles for clinical use. [ABSTRACT FROM AUTHOR]

This study seeks to assess the hydrogeochemical characteristics of groundwater in the southern part of Thal Desert of Pakistan. The primary focus lies in identifying potential sources of contamination and evaluating their impact on groundwater and the ecosystem. Groundwater samples were collected from diverse sources including shallow hand pumps, tubewells, and dug wells, with depths ranging from 11 to 28 m. A comprehensive analysis was performed to scrutinize the physical, chemical, and microbial attributes of the samples. Utilizing visual aids like the Piper, Durov, and Gibbs diagrams, as well as Pearson correlation, scatter plots, Schoeller diagrams, and pie charts, the study evaluated the groundwater quality and its suitability for consumption. Results indicate that mineral infiltration from rainfall, domestic waste, and industrial effluents significantly affects groundwater quality, leading to widespread salinity. Weathering processes and ion exchange were identified as key factors contributing to elevate levels of bicarbonates, sodium, magnesium, and chloride ions. Employing the Water Quality Index (WQI) on 40 groundwater samples, findings reveal that 52.5% of samples demonstrated poor to not suitable quality, with 27.5% categorized as poor, 2.5% as very poor, and 22.5% not suitable consumption. Conversely, 47.5% of samples showcased good to excellent quality, with 25% rated as good and 22.5% as excellent. These findings provide valuable insights for hydrogeologists to develop appropriate strategies for water treatment and address any concerns related to groundwater quality. [ABSTRACT FROM AUTHOR]

The genus Agaricus includes more than 500 species mostly containing the edible and cultivated species worldwide. As part of the ongoing studies on the biodiversity of genus Agaricus in Pakistan, our objective was to focus on A. sect. Minores which is the largest section of the genus. In the first phylogenetic analyses based on the ITS region of the nuclear ribosomal DNA, our sample included specimens of 97 named species, 27 unnamed species, and 31 specimens (29 newly generated sequences in this study) from subtropical climate zones of Pakistan that likely belong to this section based on their morphology. The 31 specimens grouped into five distinct, well-supported clades corresponding to five species: A. glabriusculus already known from Pakistan and India, A. robustulus first recorded from Pakistan and briefly described here but already known from Bénin, Malaysia, China, and Thailand, and three possibly endemic new species described in detail A. badiosquamulosus sp. nov., A. dunensis sp. nov., and A. violaceopunctatus sp. nov. The sixth species currently known in Pakistan, including A. latiumbonatus also found in Thailand, were included in a multigene tree based on ITS, LSU, and Tef-1α sequence data. They all belong to a large pantropical paraphyletic group while most temperate species belong to a distinct clade, which includes about half of the species of the section. The current study aims to propose three novel species of genus Agaricus based on comprehensive morphological as well as molecular phylogenetic evidences from Pakistan. [ABSTRACT FROM AUTHOR]

The groundwater resources in different areas of Pakistan are heading towards depletion along with the deterioration of quality due to over-abstraction and urbanization. The main focus of this study is to map the current hydrostratigraphical and hydraulic conditions of the late Quaternary aquifers in the central part of Thal Doab of Punjab Plains. To achieve the target, a comprehensive approach was employed combining geophysical investigations using electrical resistivity surveys (ERS) and physiochemical analysis of groundwater specimens collected from the study area. Careful calibration of resistivity models was performed by comparing them with lithologs to ensure their accuracy. The current groundwater conditions were assessed through thirty vertical electrical soundings (VES) using the Schlumberger electrode configuration up to 300m of AB/2. The interpreted results revealed the presence of four to six geo-electric sublayers comprising the intermixing layers of clay, silt, sand, gravel, and kankar inclusions. These layers exhibited very low (<20 Ω-m) to very high (>230 Ω-m) resistivity zones at various depth intervals. The developed 2D/3D models of aquifer systems identify the promising areas of good/fresh quality groundwater in the regions characterized by medium to very high resistivity mainly within the sand with gravel layers. However, lower resistivity values indicate the presence of marginally suitable/fair and saline/brackish groundwater showing the existence of fine sediments such as clays/silts. Additionally, twenty groundwater samples were collected to assess various parameters including pH, TDS, arsenic, fluoride, iron, nitrate, and nitrite. The spatial distribution of these parameters was visualized using 2D maps. The suitability of the groundwater for drinking consumption was evaluated in accordance with WHO guidelines. [ABSTRACT FROM AUTHOR]

This study delves into the critical need for generating real-world compatible data to support the application of deep reinforcement learning (DRL) in vehicle routing. Despite the advancements in DRL algorithms, their practical implementation in vehicle routing is hindered by the scarcity of appropriate real-world datasets. Existing methodologies often rely on simplistic distance metrics, failing to accurately capture the complexities inherent in real-world routing scenarios. To address this challenge, we present a novel approach for generating real-world compatible data tailored explicitly for DRL-based vehicle routing models. Our methodology centers on the development of a spatial data extraction and curation tool adept at extracting geocoded locations from diverse urban environments, encompassing both planned and unplanned areas. Leveraging advanced techniques, the tool refines location data, accounting for unique characteristics of urban environments. Furthermore, it integrates specialized distance metrics and location demands to construct vehicle routing graphs that represent real-world conditions. Through comprehensive experimentation on varied real-world testbeds, our approach showcases its efficacy in producing datasets closely aligned with the requirements of DRL-based vehicle routing models. It's worth mentioning that this dataset is structured as a graph containing location, distance, and demand information, with each graph stored independently to facilitate efficient access and manipulation. The findings underscore the adaptability and reliability of our methodology in tackling the intricacies of real-world routing challenges. This research marks a significant stride towards enabling the practical application of DRL techniques in addressing real-world vehicle routing problems. [ABSTRACT FROM AUTHOR]

Objective: Higher than expected rates of mental health and/or addiction (MHA) concerns have been documented since the onset of the COVID-19 pandemic. A more up-to-date prevalence of MHA outcomes and the factors associated with the occurrence of MHA concerns remains unclear. This study examined the prevalence of MHA outcomes and factors associated with screening positive for symptoms of depression only, anxiety only, and both depression and anxiety two years into the COVID-19 pandemic in Ontario, Canada. Method: Ontario adults ≥18 years of age (n = 5000) reported on the presence of symptoms associated with depression, anxiety, and substance use between January and March 2022. Data were also collected on pandemic-related health variables, including COVID-19 infection fear, changes in socioeconomic status and mental health since pandemic onset, satisfaction with social supports, and MHA service needs. Results: The prevalence of positive screening for depressive or anxiety symptoms only was 8% and 11%, respectively, while 36% screened positive for both. Moderate/high risk levels of substance use were found in 20% of participants for tobacco and 17% for both alcohol and cannabis. Moderate/high risk levels of alcohol use and certain pandemic-related factors (negative change in mental health, unmet MHA service needs) were associated with positive screening for symptoms of depression only, anxiety only, and both depression and anxiety. Satisfaction with social supports was associated with lower likelihoods of being in the depression only and both depression and anxiety groups, and non-White ethnicity was associated with depression only. Conclusions: There was a continued burden of MHA issues two years into the pandemic. These results underscore the ongoing need for timely and accessible MHA services. [ABSTRACT FROM AUTHOR]