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This assessment evaluated the clinical feasibility of using narrow-diameter implants to support a mandibular overdenture. Twelve patients presenting with an edentulous mandible were recruited from nine dental offices. Each patient received two to four implants in the mandible. The implants were placed without additional bone augmentation, and a total of 36 implants were placed. All sites achieved satisfactory crestal bone stability and soft tissue maintenance 1 year after the final prosthetic restoration. This investigation was supported by the Osseointegration Foundation, working in conjunction with the Zest Anchors implant company. There are three basic valuable activities that emerge from a professional foundation, which were reflected in this case study. They include disseminating information to practitioners, persuading young clinicians to become research investigators, and reaching out to patients in need of treatment who cannot afford it without a charitable opportunity. [ABSTRACT FROM AUTHOR]

In this paper, the extended simplest equation method is utilized to construct the novel exact optical solitons solutions of the perturbed time fractional Chen–Lee–Liu equation with conformable fractional derivative. The acquired optical solitons and other solutions are expressed via the rational functions, the trigonometric functions, and the hyperbolic functions; in addition to guaranteeing the existence of the acquired results, the constrain conditions are provided. Furthermore, to elucidate the magnitude of the proposed equation, various obtained solutions are plotted via two-dimensional (2D) and three-dimensional (3D) graphs using appropriate values of parameters. It is observed that the present technique is a powerful tool and efficient for finding the analytical solution for nonlinear differential equations of integer and fractional orders. [ABSTRACT FROM AUTHOR]

The sine cosine algorithm (SCA) is a metaheuristic algorithm that employs the characteristics of sine and cosine trigonometric functions. SCA's deficiencies include a tendency to get trapped in local optima, exploration–exploitation imbalance, and poor accuracy, which limit its effectiveness in solving complex optimization problems. To address these limitations, a multi-trial vector-based sine cosine algorithm (MTV-SCA) is proposed in this study. In MTV-SCA, a sufficient number of search strategies incorporating three control parameters are adapted through a multi-trial vector (MTV) approach to achieve specific objectives during the search process. The major contribution of this study is employing four distinct search strategies, each adapted to preserve the equilibrium between exploration and exploitation and avoid premature convergence during optimization. The strategies utilize different sinusoidal and cosinusoidal parameters to improve the algorithm's performance. The effectiveness of MTV-SCA was evaluated using benchmark functions of CEC 2018 and compared to state-of-the-art, well-established, CEC 2017 winner algorithms and recent optimization algorithms. The results demonstrate that the MTV-SCA outperforms the traditional SCA and other optimization algorithms in terms of convergence speed, accuracy, and the capability to avoid premature convergence. Moreover, the Friedman and Wilcoxon signed-rank tests were employed to statistically analyze the experimental results, validating that the MTV-SCA significantly surpasses other comparative algorithms. The real-world applicability of this algorithm is also demonstrated by optimizing six non-convex constrained optimization problems in engineering design. The experimental results indicate that MTV-SCA can effectively handle complex optimization challenges. [ABSTRACT FROM AUTHOR]

The utilization of artificial intelligence techniques has garnered significant interest in recent research due to their pivotal role in enhancing the quality of educational offerings. This study investigated the impact of employing artificial intelligence techniques on improving the quality of educational services, as perceived by students enrolled in the College of Pharmacy at the University of Baghdad. The study sample comprised 379 male and female students. A descriptive-analytical approach was used, with a questionnaire as the primary tool for data collection. The findings indicated that the application of artificial intelligence methods was highly effective, and the educational services provided to students were of exceptional quality. The results also showed a strong correlation (correlation coefficient of 0.719) between the use of artificial intelligence techniques and the quality of educational services. This correlation was statistically significant at a confidence level of 99%. The impact of artificial intelligence techniques and their dimensions on the quality of educational services is highly significant at a confidence level of 99%. This suggests that artificial intelligence technologies play a major role in enhancing the quality of educational services. The study emphasizes the importance of creating technologically advanced classrooms equipped with modern devices and equipment to enhance the learning experience and provide an advanced educational environment. It also highlights the significance of effectively addressing students' complaints and grievances through technical means, such as electronic communication platforms, social media platforms, technical support via the Internet, and smartphone applications. These measures are essential in providing high-quality educational services. [ABSTRACT FROM AUTHOR]

Objective: The main objective was to assess the therapeutic efficacy of selenium alone versus a combination of myo-inositol and selenium (MI + Se) in treating patients with autoimmune thyroiditis (AIT). The study aims to determine which treatment option is more effective in restoring euthyroid state, as indicated by changes in thyroid-stimulating hormone (TSH), T3, T4, thyroid peroxidase antibodies (TPOAb), and thyroglobulin antibodies (TgAb) Methods: Google Scholar and PubMed databases were searched for randomized controlled trials (RCTs) and observational studies that reported outcomes of combined treatment (MI + Se) in restoring a euthyroid state, specifically comparing it with selenium-only (Se-only) treatment. Changes in TSH, T3, T4, TPOAb, and TgAb levels from baseline were defined as indicators to compare the effect of combined versus selenium-only treatment in restoring euthyroid levels. The Cochrane risk of bias tool and Newcastle Ottawa Scale were used to assess the quality of the randomized control trials included in the study. Review Manager (version 5.4, Nordic Cochrane Centre, Copenhagen, Denmark) was used for statistical analysis. Result: We pooled three studies, enrolling 151 participants in the MI + Se group and 137 participants in the Se group. Supplementation of Se with MI demonstrated a significant reduction in TSH levels compared to Se alone (SMD = −1.15, 95% CI: −1.60 to −0.69, P <.00001). MI + Se treatment also significantly reduced TgAb levels compared to Se (SMD = −0.51, 95% CI: −0.78 to −0.24, P =.0002). In contrast, TPOAB, T3 and T4 levels were non-significantly reduced from baseline in patients treated with MI + Se when compared to Se alone (SMD = −0.81, 95% CI: −0.44 to 0.09, P =.20), (SMD = 0.16, 95% CI: −0.09 to 0.42, P =.22), and (SMD = 0.30, 95% CI: −0.23 to 0.83, P =.26) respectively. Conclusion: Supplementation of Se with MI showed a significant reduction in TSH and TgAb levels compared to selenium-only treatment, with a non-significant reduction in TPOAB, T3, and T4 levels. This entails the need for powered clinical trials and observational studies with longer follow-ups to critically assess the role of combined therapy in restoring euthyroid state in patients with AIT. Plain Language Summary: Summary of Role of Supplementation with Selenium and Myo-inositol vs. Selenium alone in patients of Autoimmune Thyroiditis The study aimed to determine whether taking the supplementation therapy of myo-inositol and selenium (MI+Se) together is more effective than taking selenium alone for people suffering from autoimmune thyroiditis, a condition in which the immune system attacks the thyroid gland and often leads to hypothyroidism. Researchers reviewed relevant studies from Google Scholar and PubMed, focusing on randomized control trials (RCTs) and observational studies that compared the effects of selenium alone versus selenium plus myo-inositol. They analyzed changes in thyroid-related blood markers TSH, T3, T4, TPOAb, and TgAb levels) to assess effectiveness of the given therapy. The study included three RCTs with 288 participants that were assessed through the supplementation therapy of selenium alone and myo-inositol plus selenium (MI+Se). Findings suggest that the combination of selenium and myo-inositol significantly reduced TSH levels, which indicates thyroid activity and improvement in the condition, more than selenium alone. It also lowered TgAb levels, antibodies that attack the thyroid, more effectively than selenium alone. However, the two groups had no significant changes in other markers like TPOAb, T3, and T4. The results suggest that the combination treatment might be more effective in reducing harmful antibodies and improving thyroid function compared to selenium alone. This finding is particularly relevant for managing AIT and improving thyroid health, pointing to potentially better treatment strategies. Nevertheless, the study emphasizes the need for more extensive and longer-term research to confirm these benefits and fully understand the implications. This research highlights the promise of combining supplementation with selenium and myo-inositol as a more effective approach for people with autoimmune thyroiditis (AIT). This could lead to improved management and outcomes for this common thyroid condition. [ABSTRACT FROM AUTHOR]

The main point of this study is to examine the ideology of conservatism in the selected British novels The Blessing by Nancy Mitford and White Teeth by Zadie Smith through the application of a critical sociolinguistic model. These two novels were chosen for having conservatism as the main theme. In this study, conservatism was analyzed according to four phases: the first phase (initiation) shows context and conservatism types. The second phase (description) highlights the text analysis, which involves analyzing vocabulary, grammar, cohesion, and text structure. The third phase represents social analysis, which involves some social factors like age, gender, status, and style. The last phase is evaluation, in which ideology is evaluated according to some selected functions. In both novels, it seems that cultural conservatism is the most commonly used type. Further, it is shown that conservatives tend to use simple words that are easily understood by others. Additionally, declaratives, second and third person pronouns, and modality of necessity and probability are the most followed grammatical categories by conservatives. In relation to social analysis, it is proven that old people are more conservative than young ones, women are more conservative than men, uneducated people are more conservative than educated ones, and informal style is more used than formal style. With regard to evaluating conservatism, it seems that explaining, evaluating, orienting, and prescribing functions are all used in both novels. [ABSTRACT FROM AUTHOR]

Objective: To determine the frequency of outcome of intramedullary nailing in femoral shaft fractures in children. Study Design: Case series study. Setting: Department of Orthopedics, ATH, Abbotabad. Period: 27th February 2020 to 26th August 2020. Methods: We included 85 patients with femoral shaft fractures, and age 5 to 10 years of both genders, meeting the criteria and consent was taken. Each patient was followed fortnightly for assessment 2 of outcome (excellent/satisfactory/poor) after 3months post-operative. Results: In our study age ranges from 5 to 10 years with mean age of 7.14 ± 0.90 years. Majority of the patients 60 (70.59%) were between 5 to 7 years of age. We had 64 (75.29%) males and 21 (24.71%) were females. Mean weight was 24.35 ± 4.66 kg. Mean duration of symptoms was 6.48 ± 2.45 days. In this study, the excellent outcome was seen in 70 (82.35%) patients, satisfactory in 10 (11.77%) and poor outcome in 05 (5.88%) patients. Conclusion: This study concluded that intramedullary nail is simple, effective, minimally invasive procedure for treating femoral shaft fractures in children with excellent outcome. [ABSTRACT FROM AUTHOR]

Cellular vehicle-to-everything (C-V2X) is a promising area for research in wireless communication as it provides an improved performance for safe connectivity of autonomous vehicles over half duplex (HD) Direct Short Range Communication (DSRC) in terms of range, reliability and infrastructure cost. In this work, full duplex (FD) communication for Base Stations (BSs) over shared channels is presented for the first time in C-V2X networks. Three modes, Mode A, B and C have been defined based on autonomous, cellular HD and cellular FD communication. Network model has been built by plotting vehicles, pedestrians and traffic infrastructure according to Cox Process while BSs have been distributed according to 2-D Poisson Point Process (PPP) in a circular region. Mathematical model for success probability of FD communication over BSs in C-V2X networks using nearest neighbor criterion has been developed and same is compared with HD communication. Analytical results have also been compared with system model using Monte Carlo simulations. For the very first time, we have shown that success probability of FD is comparable with that of HD communication in terms of signal to interference noise ratio (SINR) ranging from −40dB to 60dB, with less than 10% degradation in the range from −15dB to 10dB, which is minimal. Other network characteristics like intensities of vehicles, roads and BSs have also shown minimal degradation (less than 10%) in performance of FD as compared to HD for C-V2X network. Effect of imperfect self interference cancellation (SIC) for different values has also been presented to highlight significance of achieving perfect SIC for FD in C-V2X networks. [ABSTRACT FROM AUTHOR]

Aim: To conduct a systematic review and meta-analysis of randomized controlled trials (RCTs) that investigated the effectiveness of tranexamic acid (TXA) among patients undergoing arthroscopic rotator cuff repair (ARCR). Methods: Five databases were screened until December 18, 2022. The included RCTs were assessed for risk of bias, and the endpoints were summarized as mean difference/standardized mean difference (MD/SMD) or risk ratio (RR) with the 95% confidence interval (CI) in a random-effects model. Results: Seven RCTs with 510 patients (TXA = 261 and control/placebo = 249) were analyzed. The overall risk of bias was "low" and "unclear" in four and three RCTs, respectively. The mean operative time (n = 5 RCTs, MD = −9.64 min, 95% CI [−15.74, −3.54], p = 0.002) and mean postoperative pain score on postoperative day 1 (n = 5 RCTs, MD = −0.56, 95% CI [−1.06, −0.05], p = 0.03) were significantly reduced in the TXA group compared with the control group. However, there were no significant differences between both groups regarding visual clarity, amount of irrigation solution, and estimated intraoperative blood loss. Conclusion: Among patients undergoing ARCR, preoperative TXA did not reduce intraoperative blood loss or improve visual clarity. However, TXA administration correlated with significant reductions (statistically) in operative time and postoperative day 1 pain score compared with the control group. Level of evidence: Level I; Systematic Review and Meta-analysis of Randomized Controlled Trials [ABSTRACT FROM AUTHOR]

The flux observer method is widely utilized as a sensorless control technique in which the stator or rotor flux of IPMSM can be measured with a closed-loop observer or an integrator. However, DC-offset (DCoff), the ramp signal, and harmonics are consistently present in the acquired rotor flux because of an unidentified starting value, errors in the integral computation's current detection, and the inverter's nonlinearity. The aforementioned interference signals will drastically reduce the sensorless control efficacy. This work introduces an enhanced flux estimator with a negative feedback loop and PI controller to overcome the DC drift problem resulting from a pure integrator and a low-pass filter. Moreover, an optimal design approach of flux estimator structures with a broad range of speeds for Interior permanent magnet synchronous motor (IPMSM) drives is proposed, which utilizes an integrated topology of the voltage and current models incorporating a DC-offset PI-correction loop, actual and estimated flux magnitude's correction error. The flux vector's initial inaccuracy is eliminated, together with the DCoff and drift in the acquisition channel. A phase-locked-loop state estimator is utilized to derive the speed and position from the actual and estimated flux. The effectiveness and superiority of the suggested approach were proven by simulation and experimental findings for the IPMSM drives, which displayed high dynamic performances over varying scenarios. This reliable approach, including sensorless control, is suitable for all AC motors with sinusoidal flux distributions over a wide speed range. [ABSTRACT FROM AUTHOR]

The Larsemann Hills sector of East Antarctica preserves complexly deformed Mesoproterozoic to Neoproterozoic-aged composite gneisses (Sostrene orthogneiss) and interleaved sequence of metasedimentary rocks (Brattstrand paragneiss). The Easther Island porphyroblastic gneiss, a unit of erstwhile ‘Brattstrand paragneiss’, is investigated in this work. Easther Island porphyroblastic gneiss comprises garnet + biotite + quartz + plagioclase + K-feldspar + ilmenite + sillimanite and preserves thick plagioclase corona over coarse-grained garnet. Conventional thermometry and phase equilibria modelling indicate temperatures of 830°C defining peak attained during metamorphism followed by decompression at ~4 kbar pressure. Zircon U–Pb isotopic data yield Concordia ages of 725 ± 43 and 566 ± 15 Ma, respectively. Whereas chemical geochronological data of in-situ monazites provide a unimodal CHIME age of 510 ± 27 Ma with no early Neoproterozoic signature. The new data is discussed in light of the much-debated relict Upper Tonian to Lower Cryogenian (800–700 Ma) event registered by the Larsemann Hills sector, followed by an early Paleozoic orogenic event related to the final amalgamation of Gondwana. [ABSTRACT FROM AUTHOR]

The citrus processing industry generates around 50% fruit waste, encompassing peels, pulp, seeds, and other residues. Citrus peel, among these by-products, contains significant amounts of bioactive compounds, representing a sustainable and renewable source of phenolics. In this context, the present study was conducted to probe phytochemical profile and antioxidant potency of orange peel extracts. Moreover, the quantification of hesperidin and nobiletin was carried out using HPLC. The extracts were obtained using water and 50% aqueous-methanol and aqueous-ethanol, separately alongside varying time intervals, i.e. 30, 45 and 60 min. The obtained extracts were then investigated for their phytochemical and antioxidant profile. Afterwards, three best treatments, one from each extracts (aqueous-ethanol, methanol, and water), were chosen based on their phytochemical profiling. The phytochemical analyses and in vitro antioxidant assays showed the highest total phenolics (2010 mg GAE/100 g), flavonoids (90 mg/100 g), and flavonols (2.2 mg/100 g) in methanolic extracts obtained at 60 min. Likewise, the highest DPPH (60.55%), antioxidant activity (51.7 %), FRAP (13.6 mg TE/g), and ABTS (7.4 µmol TE/g) were also attributed to methanolic extract of orange peel obtained at 60 min except for antioxidant activity which was obtained at 30 min. Likewise, HPLC analysis depicted maximum content of hesperidin and nobiletin (133.70 and 8.50 mg/g) in methanol extract as compared to ethanol (98.80 and 5.50 mg/g) and water (61.90 and 1.25 mg/g), correspondingly. It was concluded that aqueous-methanol could be used as solvent of choice for isolation of orange peel flavonoids with extraction duration of 60 min. Flavonoid and antioxidant levels in orange peel extracts are significantly influenced by extraction time and solvent type. [ABSTRACT FROM AUTHOR]

Aims: This study describes the pharmacokinetic (PK)/target engagement (TE) relationship of tozorakimab, an anti‐interleukin (IL)‐33 antibody, by building a mechanistic population PK/TE model using phase 1 biomarker data. Methods: The analysis included tozorakimab PK and TE in serum assessed in 60 tozorakimab‐treated participants, including healthy adults and patients with mild chronic obstructive pulmonary disease. Scenarios evaluated three dose frequencies (once every 2, 4 or 6 weeks) administered subcutaneously at seven doses of tozorakimab (30, 60, 90, 120, 150, 300 or 600 mg). For each dose, simulations were performed with 5000 virtual individuals to predict systemic TE. Inhibition of IL‐33/soluble ST2 (sST2) complex levels at trough PK at steady state was assessed in each dosing scenario. The PK/TE modelling analyses were performed using a nonlinear mixed‐effect modelling approach. Results: The final two‐compartment PK model with tozorakimab binding IL‐33 in the central compartment adequately described the systemic PK and TE of tozorakimab at population and individual levels. The mean PK parameter estimates of absorption rate, central volume of distribution and clearance were 0.48 (90% confidence interval [CI]: 0.40–0.59, 1/day), 12.64 (90% CI: 8.60–18.62, L) and 0.87 (90% CI: 0.65–1.16, L/day), respectively. Consistent with the observed value, tozorakimab bioavailability was 45%. For all three dose frequencies, predicted inhibition of systemic IL‐33/sST2 levels was more than 95% at doses greater than 90 mg. Conclusions: The PK/TE model reliably quantified the relationship between PK and systemic TE of tozorakimab, with potential utility for predicting clinical dose–response relationships and supporting clinical dose selection. [ABSTRACT FROM AUTHOR]

Off-site construction projects have demonstrated the potential to drive transformation in the construction sector to achieve better outcomes in terms of high precision and efficiency of deliveries through the collaborative design and fabrication processes, long-term stakeholder engagement and relations across projects, product standardization, risk-sharing strategies, and investment in a strong integrated supply chain. However, repeating the successful off-site construction projects to scale the benefits can be challenging considering that construction projects vary across regions and contexts. The streamlined processes and a consistent collection of information requirements should be leveraged to alleviate the challenge and help stakeholders effectively adopt the off-site construction approach. To achieve this goal, this study defines the information requirements across multiple stages of the off-site construction supply chain, using the case study approach to delineate the information requirements for an off-site construction company located in Edmonton, Alberta, Canada. The evaluation and interpretation of the case study underscore the need for consistent collection, storage and utilization of logistics, construction, and postconstruction activities information to tie back to sales and design activities. To facilitate the activities integration, an information requirement framework is proposed for off-site construction processes based on the learnings collected from the case study and a digital twin technology platform. Although the reuse and interoperability of information among various systems remains a long-standing issue to prevent the wide adoption of off-site construction, the findings and the proposed information requirement framework can be an integral part of the potential guidelines for successful implementation of off-site construction. [ABSTRACT FROM AUTHOR]

Herein we described the biofabrication of samarium oxide nanoparticles (HT‐Sm2O3 NPs) by applying the aqueous fruit extract of Hyphaene thebaica was utilized as an eco‐friendly chelating agent. The prepared NPs were subjected to various physicochemical properties and potential in biomedical applications. X‐ray Diffraction (XRD) pattern revealed sharp peaks that corroborated with the Joint Committee on Powder Diffraction Standards (JCPDS) card no. 00–042‐1464. Crystallite size obtained from Debye–Scherrer approximation and Williamson–Hall (W–H) plot was 28.73 and 69.3 nm, respectively. Optical bandgap was calculated by employing Kubelka–Munk (K–M) function and was found to be ~4.58 eV. Raman shift was observed at 121, 351, 424—, and 561 cm−1. Photoluminescence (PL) spectra revealed two major peaks positioned at 360 and 540 nm. The high‐resolution transmission electron microscopy (HR‐TEM) analysis of HT‐Sm2O3 nanoparticles (NPs) showed that they predominantly have spherical to cuboidal shapes. Additionally, the selected area electron diffraction (SAED) pattern presented spotty rings, indicating a high level of crystallinity in these NPs. The potential nanomedicine applications were studied using diverse bioassays using different treatments. The antioxidant activity demonstrated 45.71% ± 1.13% inhibition at 1000 μg/mL. Brine shrimp lethality assay revealed the highest cytotoxicity of 46.67% ± 3.33% at 1000 μg/mL and LC50 value of 1081 μg/mL. HT‐Sm2O3 NPs exhibited inhibition of angiogenesis (20.41% ± 1.18%) at of 1000 μg/mL. MTT assay results indicated that HT‐Sm2O3 NPs exhibit inhibitory effects on cell lines. Specifically, these NPs showed an IC50 value of 104.6 μg/mL against 3T3 cells. Against MCF‐7 cells, the NPs demonstrated an IC50 value of 413.25 μg/mL. Additionally, in the inhibition of acetylcholinesterase (AChE), the newly synthesized NPs showed an IC50 value of 320 μg/mL. The antidiabetic assessment through α‐glucosidase and α‐amylase inhibition assays revealed, an IC50 value of 380 μg/mL for α‐glucosidase and 952 μg/mL for α‐amylase was calculated. Overall, our study suggested that the Sm2O3 NPs possess moderate anticancer, cholinesterase inhibition, and antidiabetic potential, however, needs further assessment. Research Highlights: In this work, nano‐samaria is synthesized using an eco‐friendly and green approach.The nanoparticles were characterized using techniques such as Raman, HR‐TEM, FTIR, DRS, XRD, and so on, and the applications were studied using multiple in vitro bioassays for Diabetes, Alzheimer, and Cancer.The nano‐samaria revealed good potential for potential biomedical applications. [ABSTRACT FROM AUTHOR]

We analyzed smut fungi (Ustilaginales) parasitizing nine poaceous hosts from three districts (Shangla, Mansehra, and Dir Upper) of Khyber Pakhtunkhwa Province, Pakistan. Eight taxa were identified in two genera using both morphological and molecular techniques by amplifying ITS and LSU regions. We describe Ustilago pseudosyntherismae sp. nov. on Digitaria sanguinalis and Dactylis glomerata as new to science and U. neocopinata as a new record for Pakistan. We provide updated distribution records for six smut species viz. U. maydis, U. tritici, Sporisorium cruentum, S. moniliferum, S. reilianum, and S. schweinfurthianum. [ABSTRACT FROM AUTHOR]

Canada's construction industry is on the brink of a significant labour shortage crisis. This paper critically reviews this impending challenge by analyzing various literature and statistical reports. It identifies the provinces most at risk for labour shortages. Furthermore, the study highlights the construction trades with the highest risk of labour shortages. Notably, this paper underscores the underrepresentation of certain groups within the construction industry, particularly women and indigenous youth. Building upon these findings, the paper proposes a comprehensive labour shortage mitigation strategy at three levels: labour and managerial, organizational, and provincial and state levels. This strategy offers a roadmap for implementing initiatives addressing the impending labour shortage. This research provides valuable insights for policymakers and government entities seeking to tackle the impending labour shortage in Canada's construction sector. The proposed strategy can also serve as a model for other countries facing similar challenges on construction labour shortage. [ABSTRACT FROM AUTHOR]

In cases with highly non-stationary noise, single-channel speech enhancement is quite challenging, mainly when the noise includes interfering speech. In this situation, deep learning's success has contributed to speech enhancement to boost intelligibility and perceptual quality. Existing speech enhancement (SE) works in time–frequency domains only aim to improve the magnitude spectrum via neural network learnings; the latest research highlights the significance of phase in perceptual speech quality. Motivated by multi-task machines and deep learning this paper, proposes an effective and novel approach to the task of speech enhancement using an encoder-decoder architecture based on Deep Complex Convolutional Neural Networks. The proposed model takes input from the spectrograms of the noisy speech signals, consisting of real and imaginary components for complex spectral mapping, and it simultaneously enhances the magnitude and phase responses of speech. Considering unseen non-stationary noise categories, which interfere with speech, the proposed model enhances speech quality by approximately, 0.44 MOS points compared to state-of-the-art single-stage techniques. Moreover, it outperforms all reference techniques constantly and improves intelligibility under low-SNR settings. In contrast, against the baselines, we find an incredible enhancement of over 3 dB in SNR, and 0.2 in STOI. In addition, our method outperforms baseline SE techniques in low-SNR conditions in terms of STOI. [ABSTRACT FROM AUTHOR]

Water is a critical resource for human life and plays a vital role in energy production. Energy is equally essential in water supplies but generates carbon emissions to the atmosphere depending on the energy source. Appraising water, energy, and carbon nexus is essential for promoting sustainable drinking water systems (DWSs) in the case of small- and medium-sized utilities, representing a significant portion of the water supply in many countries. Smaller utilities face unique challenges, such as insufficient funding, aging infrastructure, and higher operational costs. This paper examines over 100 studies to identify and comprehensively understand how source type and location, raw water quality, water consumption patterns, system size, land use, population density, topography, infrastructure age, and system losses and maintenance impact energy consumption in small and medium DWSs. The review also identified more than 40 indicators related to energy and carbon from the literature, providing advanced information in this area. Findings suggest a gap in understanding how energy and carbon indicators relate to the utility's operational performance. By analyzing the challenges and opportunities smaller utilities face in optimizing water, energy, and carbon nexus, this paper highlights the necessity of shifting towards cleaner energy sources to mitigate the environmental impacts. It also emphasizes the importance of adopting a holistic approach that integrates technological advancements, regulatory guidelines, and active community engagement to achieve decarbonization in DWSs. The present study aims to inform policymakers, water management professionals, and broader stakeholders about the essential components of sustainable and resilient small and medium DWSs. [ABSTRACT FROM AUTHOR]

Soil erosion is a major environmental problem with detrimental consequences. In this article, we present a detailed study on the analysis of soil water erosion using machine learning (ML) techniques in the Oued Ourika watershed in Morocco. We collected data on various factors that may influence the mechanisms of soil water erosion events. Subsequently, we developed machine learning models to predict the potential for soil water erosion based on these factors. Finally, field studies were conducted compared to the obtained results. A historical inventory of water erosion has been created through fieldwork, satellite imagery, and historical water erosion events. Models were constructed using the training data, and their performance and accuracy in predicting susceptibility to water erosion were evaluated using the validation data. This data division allowed for a fair assessment of the models’ ability to make accurate predictions. Using a Geographic Information System (GIS) and programming in the R language, four supervised machine learning algorithms were applied, including k-nearest neighbor (KNN), extreme gradient boosting (XGB), random forest (RF), and naive bayes (NB). The results show that the NB model exhibited the highest accuracy in predicting and evaluating the effectiveness of these algorithms in forecasting susceptibility to water erosion in the study area. Accuracy was assessed using the area under the curve (AUC) metric, with an AUC of 98%. The XGB algorithm had an AUC of 96%, followed by RF with an AUC of 87%, and KNN with an AUC of 84%. Thus, the Naive Bayes model proved to be the best for determining susceptibility to water erosion in the study area. The analysis of water erosion reveals that 43% of the total area of the Oued Ourika watershed is exposed to a high to very high risk of erosion in the Ourika region. These findings can assist regional and local authorities in reducing the risk of water erosion and implementing effective measures to prevent potential damages. The goal is to protect the communities and infrastructure located along the course of the Ourika. Overall analysis of natural disasters, the accuracy of the results heavily depends on the availability and quality of data, which must encompass an adequate number of parameters. [ABSTRACT FROM AUTHOR]

Background: Globally, many women express the desire to avoid immediate pregnancy for 24 months postdelivery, and only forty percent use contraceptives during this period. There is an enormous demand for postpartum family planning, particularly in developing countries with low- or middle-income grades. Postpartum intrauterine devices such as long-acting reversible contraceptives (LARCs) are among the most effective methods of family planning in the immediate postpartum period, yet their effectiveness is hindered because of a lack of availability and training. Strategies to increase access to LARCs are essential. Hence, the purpose of the current study is to determine the barriers among healthcare providers in providing immediate postpartum family planning services. Methods: A cross-sectional study was conducted in the Department of Obstetrics and Gynaecology at SIMS, a tertiary care teaching hospital, from January to March 2024. Approximately 293 healthcare providers who fulfilled the inclusion criteria were provided an online questionnaire in the form of a Google Forms link, which included a structured questionnaire focusing on various aspects, including demographics, knowledge, practices, and barriers in their practice. The data collected were analysed through SPSS version 26, which employs chi-square tests and Pearson's correlation to determine any significant associations among them. Based on the key statistical outcomes and the significant correlations observed related to the data, a thematic analysis through SWOT (strengths, weaknesses, opportunities, threats) was conducted. The study adhered to the method outlined by Braun and Clarke (2006) and compiled with the COREQ (consolidated criteria for reporting qualitative research) checklist to uphold methodological integrity. Results: Among the participants, 92.4% provided family planning counselling after childbirth, predominantly during the antenatal period (75.1%), and the provision of immediate postnatal family planning was reported in 76.1% of the participants, with PPIUDs identified as the most utilized method by 52.6%. Various barriers were identified, including insufficient training on Implanon (33.4%) and the PPIUCD (12.6%), the unavailability of implants (59.0%), and a lack of interest among patients (46.1%). Statistically significant associations were observed between the practice setting and knowledge of postpartum family planning (p = 0.002), as well as deficiencies in training for the PPIUCD (p < 0.001). The study highlights the place of practice and the practitioners' experience as significant strengths in offering immediate postpartum contraception and referring patients for family planning. However, qualification was identified as a limiting factor for practicing immediate postpartum family planning. Conclusions: This study revealed significant difficulty in delivering prompt postpartum long-acting reversible contraceptives (LARCs), underscoring the necessity of improved education and training for professionals. Focusing on these challenges is important in enhancing postpartum family planning acceptance and decreasing unfulfilled requirements in resource-limited settings. [ABSTRACT FROM AUTHOR]

This paper proposes a new optimization technique to make an integration between the Optimal Reactive Power Dispatch (ORPD) problem and Electric Vehicles (EV). Here, a modified metaheuristic algorithm, called the Promoted Osprey Optimizer (POO) is used for this purpose. Inspired by the hunting behavior of ospreys, a predatory bird species, the POO algorithm employs various strategies like diving, soaring, and gliding to effectively explore the search space and avoid local optima. To evaluate its performance, the POO-based model has been applied to the IEEE 118-bus and IEEE 57-bus systems, considering different scenarios of EV penetration. The experimental findings demonstrate that the POO algorithm can effectively optimize the reactive power dispatch problem with EV integration, achieving significant reductions in active power losses and voltage deviations toward several existing metaheuristic optimization techniques in different terms. The POO algorithm demonstrates a significant reduction in power loss, achieving up to 22.2% and 16.2% in the 57-bus and 118-bus systems, respectively. This improvement is accompanied by reductions in voltage deviation of up to 20.6% and 15.7%. In the 57-bus system, power loss is reduced from 2.35 MW to 1.93 MW, while voltage deviation decreases from 0.034 p.u. to 0.027 p.u. For the 118-bus system, power loss is lowered from 4.21 MW to 3.53 MW, and voltage deviation is reduced from 0.051 p.u. to 0.043 p.u. Furthermore, the POO algorithm surpasses other optimization methods in minimizing voltage deviation, achieving reductions of up to 0.056 p.u. in the 57-bus system and up to 0.163 p.u. in the 118-bus system. Consequently, the POO algorithm holds great potential as a valuable tool for power system operators and planners to optimize reactive power dispatch and enhance power system performance with EV integration. [ABSTRACT FROM AUTHOR]

Copyright of Baghdad Science Journal is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The hydrogen storage capabilities of the metal–organic framework (MOF) CALF-20 are examined experimentally with both cryogenic and near-ambient temperatures. This framework has a pore size that is nearly ideal for cryogenic hydrogen storage. Density functional theory (DFT) studies provide insights into the hydrogen binding sites within CALF-20. [ABSTRACT FROM AUTHOR]

Background: Cardiovascular diseases (CVD) are among the most prevalent and preventable chronic diseases in the 21st century The global burden of disease: 2004 update. The Report in Sections. A person's risk of developing CVD can be reduced by adopting healthy lifestyles, spiritual and religious practices The American Heart Association Life's Simple 7 in African Americans of the Jackson Heart Study. Fasting as a spiritual practice is not exempted from these benefits. Most world's religions recommend a period of fasting. The obligatory Ramadan fasting in Islam may provide an interesting opportunity to reduce food intake and increase physical activity. The main objective of this study is to investigate the effect of Ramadan fasting on cardiovascular risk factors on healthy adult Muslims. Method: The study was pre/post-test single arm intervention conducted at the staff clinic of Family Medicine department, AKTH, and Northwest, Nigeria. Kano. The study recruited healthy adults 18yrs and above not on any medications that can affect metabolic profiles consecutively from two weeks before Ramadan fasting of 2018 and the last week of Ramadan of the same year. The questionnaire included information on sociodemographic, clinical parameters and Lifestyle pattern. Result: Thirty healthy volunteers were included in this study, 25 males (83.3%) and 5 females (16.7%). The mean age was 38.23 ± 6.35(SD). Twenty-five participants were married (83.3%) with 4 singles (13.3%) and 1 divorcee (3.3%). During Ramadan fasting, weight reduced (67.90 ± 11.61 versus 66.53 ± 12.13 4th week of Ramadan p-value < 0.002) Body Mass Index (22.89 ± 3.63 versus 4th week of Ramadan 22.38 ± 3.64 p-value < 0.002) and systolic blood pressure (120.33 ± 19.91versus 4th week of Ramadan 115.33 ± 14.32 p-value 0.003) reduced significantly compared to baseline. The waist circumference, pulse rate, fasting blood sugar and cholesterol were reduced but were not statistically significant. Conclusion: The result from this study suggested that Ramadan fasting may be a useful means of reducing burden of cardiovascular diseases, as the improved cardiovascular risk factors associated with fasting may translate into a significant health benefit. [ABSTRACT FROM AUTHOR]

Deep learning and artificial intelligence offer promising tools for improving the accuracy and efficiency of diagnosing various lung conditions using portable chest x-rays (CXRs). This study explores this potential by leveraging a large dataset containing over 6,000 CXR images from publicly available sources. These images encompass COVID-19 cases, normal cases, and patients with viral or bacterial pneumonia. The research proposes a novel approach called "Enhancing COVID Prediction with ESN-MDFS" that utilizes a combination of an Extreme Smart Network (ESN) and a Mean Dropout Feature Selection Technique (MDFS). This study aimed to enhance multi-class lung condition detection in portable chest X-rays by combining static texture features with dynamic deep learning features extracted from a pre-trained VGG-16 model. To optimize performance, preprocessing, data imbalance, and hyperparameter tuning were meticulously addressed. The proposed ESN-MDFS model achieved a peak accuracy of 96.18% with an AUC of 1.00 in a six-fold cross-validation. Our findings demonstrate the model's superior ability to differentiate between COVID-19, bacterial pneumonia, viral pneumonia, and normal conditions, promising significant advancements in diagnostic accuracy and efficiency. [ABSTRACT FROM AUTHOR]

Introduction: Religion and spirituality (R/S) serve as sources of meaning-making and coping for many individuals and families. While research on the relationship between R/S and mental health has been ongoing, their role in pediatric mental health is poorly understood. The objective of this study is to assess research trends and predominant themes of R/S in child and adolescent psychiatric research in articles published in the Journal of the American Association of Child and Adolescent Psychiatry (JAACAP). This provides a rough measure of the relative importance of these topics to academic psychiatrists and researchers in the field and identifies gaps for future research. Methods: All research and review articles published in JAACAP between 2000-2023 with a focus on R/S themes were retrieved, screened, and appraised for content and extent of focus on R/S (major, minor, incidental). Included articles were assessed for R/S variables and predominant themes. Results: Thirty-two (32) research articles published between 2000-2023 contained sufficient R/S content for inclusion in our study. Only 4 articles had R/S as their major focus. Our analysis suggested a decline in publications with R/S content over the last 24 years. The R/S variables and measurement tools were heterogenous, with religious attendance and religious affiliation being the most frequently measured variables. The predominant themes include the relationships between R/S and psychopathology, suicide, utilization of services, conceptualization of illness, trauma, identity, and coping. Discussion: Despite the significance attributed to R/S by many youths and families and the increasing academic interest in the intersection between R/S and health, a significant gap exists in our understanding of R/S vis-à-vis child and adolescent mental health. This gap may be further compounded by the limited attention offered to R/S factors and variables in academic psychiatric activities. JAACAP, a global leading academic platform, may advance this discourse by inviting and encouraging publications addressing R/S variables. This may inform diagnostic, preventive, and interventive clinical work with children and their families. [ABSTRACT FROM AUTHOR]

The Prunus armeniaca L. (bitter apricot) is an apricot fruit tree categorized on the basis of the bitter taste of its seed kernel. In this study, the functional, medicinal, and therapeutic potential of bitter apricot seed kernel oil (BASKO) was evaluated. The qualitative screening of BASKO was performed using standard methodologies. The chemical profile of the oil was analyzed with the help of Fourier transform infrared (FTIR) and gas chromatography and mass spectrometry (GC‐MS). Results revealed the presence of different phytochemical constituents comprising steroids, flavonoids, terpenoids, alkaloids, and cardiac glycosides. The antioxidant activity of the oil was determined by a 2,2,diphenyl‐1picrylhydrazyl (DPPH) radical inhibition essay. Total phenolic and flavonoid contents were 10.6 ± 1.32 mg GAE/g and 4.75 ± 0.11 mg QE/g, respectively. DPPH inhibition of 89.5% was achieved at 1000 μg/mL of BASKO, with IC50 = 90.44 μg/mL (83.47–96.67 μg/mL with 95% CI). The antimicrobial potential of the BASKO revealed the inhibition of Escherichia coli (20.3 ± 2.08 mm), Salmonella typhi (19.3 ± 2.51 mm), Klebsiella pneumoniae (16.6 ± 1.52 mm), Pseudomonas aeruginosa (17 ± 2 mm), and Staphylococcus aureus (25 ± 1.01 mm). The minimum inhibitory concentration (MIC) value was 250 μL/mL for K. pneumoniae, S. typhi, P. aeruginosa, and S. aureus, whereas 62.5 μL/mL for E. coli. Moreover, BASKO showed antifungal potential against Trichophyton tonsurans (77.3 ± 2.08%), Epidermophyton floccosum (69.6 ± 3.51%), Aspergillus niger (74.3 ± 2.56%), Aspergillus flavus (90 ± 3%), and Mucor mucedo (78.3 ± 2.51%). Antileishmanial activity of oil was evaluated against Leishmania major by MTT assay, and an IC50 value of 89.75 μg/mL was observed. The study revealed that BASKO is a good source of biologically active compounds to be used as functional, therapeutical, and antimicrobial agents in food and pharmaceutical products. [ABSTRACT FROM AUTHOR]

Background: Recent reports have revealed that nephropathy leading to kidney injury (KI) is a prevalent complication of COVID-19 and is linked to high mortality and morbidity in diabetes mellitus type II (DM-T-II) patients. This systematic literature review and meta-analysis aimed to critically analyze existing studies and evidence on the impact of COVID-19 on nephropathy and kidney injury in diabetes mellitus type II (DM-T-II) patients. Method: A systematic search was conducted in the Web of Science (WoS), PubMed and Cochrane databases for relevant studies published between March 2020 and July 2023. To ensure the integrity of the systematic literature review and meta-analysis, observational studies that specifically reported post-COVID-19 kidney injury in DM-T2 patients were included, whereas we did not include articles in the press, meta-analyses, case reports, case series, Diabetes Type-I articles or non-English papers. The primary outcome was kidney injury in patients with type II diabetes after contracting COVID-19. The protocol for this study was published on PROSPERO (registration number CRD42023413887). Results: Initially, 6,339 articles were included in the search, from which only 6 observational studies were selected by following the 2020 PRISMA statement. The quality of the evidence was assessed by a tool provided by the National Institutes of Health (observational studies). The total number of participants included in the studies was 14,723. Our systematic literature review and meta-analysis provide compelling evidence that kidney injury is a prevalent complication of COVID-19 infection in the type II diabetes population, with a pooled odds ratio of 2.27 (95% CI: 2.05–2.51; p < 0.00001), often necessitating hospitalization and hemodialysis in severe cases. Conclusion: Covid-19 is associated with a two-fold increase in nephropathy and acute kidney injury in diabetes mellitus type 2 patients compared to non-diabetic patients. This implies that kidney injury is more likely to occur in diabetes mellitus type 2 patients post Covid infection. [ABSTRACT FROM AUTHOR]

Introduction: Acute subdural hematomas are major causes of morbidity which warrant immediate treatment. If surgical intervention is warranted, craniotomy (CO) and decompressive craniectomy (DC) are employed, largely based on a loosely defined criteria and the neurosurgeon's best judgment. The primacy of one approach over another is a matter of dispute. Objective: We attempt to further clarify any advantages in the two techniques, and include a propensity score matched (PSM) subgroup analysis to eliminate bias. Design: This meta-analysis was conducted following the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. Data Sources and Methods: A literature review was conducted on PubMed/Medline, Cochrane Central, and Google Scholar from inception to September 2023. 15 studies were extracted, and three outcomes were meta-analyzed: Mortality, Glasgow Outcome Scale (GOS) scores and patients undergoing re-operations/revisions. Odds Ratios (OR) and Mean Difference (MD) were used in dichotomous and continuous variables respectively. PSM data was used wherever possible. A subgroup analysis was conducted with 5 PSM studies and a trial. Heterogeneity was addressed if above 40% and the P -value is significant (≤.05). Results: A total of 15 studies were meta-analyzed with a total of 2327 and 2171 patients undergoing CO and DC respectively. Patients undergoing DC had a significantly worse GOS 5 outcome (OR:.63 [95% CI:.45-.87]; P =.005; I2 = 0%) and higher mortality (OR: 1.58 [95% CI: 1.20-2.08]; P =.001; I2 = 67%). In subgroup analysis of adjusted studies, DC still had significantly higher mortality. (OR: 1.50 [95% CI: 1.03-2.18]; P =.001; I2 = 83%). Conclusions: This meta-analysis determines that CO is more viable than DC as a surgical option due to its less invasive nature. DC can be employed, albeit under strict preprocedural patient selection and for highly specific indications. [ABSTRACT FROM AUTHOR]

Nitrogen-doped carbon quantum dots (N-CQDs) are promising materials for electronic devices due to their variable bandgap and structural stability. Here, we integrate N-CQDs into In2O3 synaptic transistors with electrolyte gating, resulting in a hybrid structure. The surface functional groups and defects of N-CQDs empower the charge trapping mechanism, permitting controlled conduction and charge regulation, which are crucial for emulating linear and symmetric artificial synaptic devices. Devices incorporating N-CQDs demonstrate enhanced stability and memory characteristics, low energy consumption, consistent retention, and a significant hysteresis window across multiple voltage cycles. Finally, the study emulates biological synapses and cognitive functions, achieving an energy consumption of 10 fJ per synaptic event and a pattern recognition accuracy of 91.2% on the MNIST dataset in hardware neural networks. This work demonstrates the potential of well-manipulating charge trapping in N-CQDs to develop high-performance, nonvolatile synaptic devices. [ABSTRACT FROM AUTHOR]

Halide perovskites with carboneous materials put magical foundation for energy concern, specifically for supercapacitor electrodes, because of their flexible chemistry and high electronic/ionic conductivity. Here, the inorganic halide perovskite composites with rGO and PANI, i.e.; (KNiBr3, KNiBr3/rGO, and KNiBr3/PANI) were synthesize by employing facile hydrothermal approach. The physio-chemical characteristics of these composites were investigated in detail by using various advance characterization tools, including XRD, FE-SEM, EDX, I-V, CV, GCD, and EIS, respectively. XRD confirmed the phase purity and high crystallinity. Whereas FE-SEM attached with EDX, revealed the porous nature and confirmed the presence of the desired elements. I-V measurements represents the ohmic behavior, resulting to higher conductivity. In electrochemical measurements, CV confirmed the pesudocapacitive behavior of all the fabricated electrodes. GCD analysis showed that the electrode incorporated with PANI exhibited superior specific capacitance (944.25 F/g), power density (1374.31 W/kg), and energy density (79.087 Wh/kg) at 1 A/g. EIS confirmed that KNiBr3/PANI electrode showed small semi-circle, indicating the small polarization and solution resistance, support the FE-SEM and I-V analysis. In addition, stability test was performed over 3000th charging/discharging cycles at 5 mV/s, indicate that PANI-based electrode retained 94% of original capacitance. Based on these findings, it is confidently suggested that studied halide perovskite materials can be effectively used for next generation supercapacitor electrodes. [ABSTRACT FROM AUTHOR]

Since the advent of email services, spam emails have been a major concern because users' security depends on the classification of emails as ham or spam. It's a malware attack that has been used for spear phishing, whaling, clone phishing, website forgery, and other harmful activities. However, various ensemble Machine Learning (ML) algorithms used for the detection and filtering of spam emails have been less explored. In this research, we offer a ML-based optimized algorithm for detecting spam emails that have been enhanced using Hyper-parameter tuning approaches. The proposed approach uses two feature extraction modules, namely Count-Vectorizer and TFIDF-Vectorizer that provide the most effective classification results when we apply them to three different publicly available email data sets: Ling Spam, UCI SMS Spam, and the Proposed dataset. Moreover, to extend the performance of classifiers we used various ML methods such as Naive Bayes (NB), Logistic Regression (LR), Extra Tree, Stochastic Gradient Descent (SGD), XG-Boost, Support Vector Machine (SVM), Random Forest (RF), Multi-layer Perception (MLP), and parameter optimization approaches such as Manual search, Random search, Grid search, and Genetic algorithm. For all three data sets, the SGD outperformed other algorithms. All of the other ensembles (Extra Tree, RF), linear models (LR, Linear-SVC), and MLP performed admirably, with relatively high precision, recall, accuracies, and F1-score. [ABSTRACT FROM AUTHOR]

Purpose: This paper investigates the vibration compaction mechanism and evaluates the impact of vibration frequencies on the stability of coarse-grained soil, aiming to optimize the subgrade filling process. Design/methodology/approach: This study examines the vibratory compaction behavior of coarse-grained soils through indoor vibration tests and discrete element simulations. Focusing on angular gravel (breccias) of varying sizes, the simulations were calibrated using parameters such as Young's modulus, restitution and friction coefficients. The analysis highlights how particle shape influences compaction, revealing mesoscopic mechanisms that drive macroscopic compaction outcomes. Findings: This study investigates the influence of vibration frequency on the compaction behavior of coarse-grained soils using discrete element simulation. By analyzing particle contact and motion, the mesoscopic mechanisms driving compaction are explored. The study establishes a positive linear correlation between contact force anisotropy (Cv) and deformation, demonstrating that higher anisotropy leads to greater structural disruption. Additionally, the increase in sliding contact percentage (SCP) at higher frequencies indicates instability in the skeletal structure, driven by uneven contact force distribution. These findings reveal how frequency-induced stress concentration affects the stability and deformation of the soil skeleton. Originality/value: This research explores the effect of various vibration frequencies on the compaction behavior of coarse-grained soils, examining microscopic interactions to reveal their impact on soil stability and deformation. [ABSTRACT FROM AUTHOR]

The El Haouz and El Kelaa Des Sraghna region is renowned for its agriculture, but is facing problems of salinisation due to its arid climate and unfavourable weather conditions. To remedy this, localised irrigation systems have been introduced to provide water for crops and improve yields. This study examines the impact of these irrigation systems on soil salinity in the region by comparing upstream and downstream areas. Using remote sensing techniques, we identify areas at risk of high salinity and collect soil samples for physical and chemical analysis in the field. These analyses enable us to monitor changes in salinisation and assess the effectiveness of localised irrigation in the areas concerned. Our results reveal two distinct zones in the region: an upstream zone with low salinity, with electrical conductivity ranging from 66 µS/cm to 345 µS/cm, and a downstream zone with higher salinity, with electrical conductivity ranging from 228 µS/cm to 1.075 µS/cm, attributed to the use of localised irrigation for crops. The remote sensing maps anticipated this difference, which was confirmed by the field analyses. [ABSTRACT FROM AUTHOR]

In this article, we explore the role of nanotechnology in addressing water scarcity through water desalination. The scope of nanotechnology in water treatment is discussed, emphasizing the potential of 2D nanomaterials such as hexagonal boron nitride (h-BN), graphene, and quantum dots in revolutionizing desalination technologies. Various water desalination techniques, including membrane distillation (MD), solar-powered multi-stage flash distillation (MSF), and multi-effect distillation (MED), are analyzed in the context of nanomaterial applications. The review highlights the energy-intensive nature of conventional water treatment methods and underscores nanomaterials' potential to enhance efficiency and sustainability in water desalination processes. Challenges facing desalination, such as scalability and environmental impact, are acknowledged, setting the stage for future research directions. [ABSTRACT FROM AUTHOR]

Background and Objectives: Rosiridin is a monoterpene with outstanding monoamine inhibitory activity that is useful to treat depressive episodes and rapid-onset dementia. The current investigation aims to evaluate the neurologically protective impact of rosiridin, which opposes aluminum chloride (AlCl3) and causes memory dysfunction in rats. Materials and Methods: Memory impairment was developed in Wistar rats by administering AlCl3 (100 mg/kg p.o.) orally for 42 days and then supplemented with rosiridin at 10 and 20 mg/kg/p.o. Upon completion of the investigation, the behavior factor was performed utilizing the Y-maze, Morris Water Maze, and open field tests. Estimating numerous biological factors, such as nitric oxide (NO), oxidative stress (malondialdehyde MDA), acetylcholinesterase (AChE), butyrylcholinesterase levels (BuChE), antioxidants (glutathione GSH, catalase CAT, and superoxide dismutases SODs) and neurotransmitter (serotonin-5HT, dopamine-DA, acetylcholine-Ach) in the brain. Furthermore, interleukin-6 (IL-6), IL-1β, tumor necrosis factor (TNF-α), brain-derived neurotrophic factor (BNDF), nuclear factor kappa B (NFᴋB), phosphatidylinositol 3-kinase (PI3K), and pAkt were assessed in the diffused brain cells. Results: The rosiridin-treated group significantly improved in terms of behavioral parameters, including in the Y-maze, Morris Water Maze, and open field tests. Further, rosiridin restored biochemical parameters, including NO, oxidative stress AChE, BuChE, antioxidants, neurotransmitters, IL-6, IL-1β, TNF-α, BNDF, NFᴋB, PI3K, and pAkt compared to AlCl3. Conclusions: The current investigation reveals that rosiridin could ameliorate the impairment of memory that AlCl3 causes in rats via improvements in behavioral and restored biochemical parameters. [ABSTRACT FROM AUTHOR]

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In the current investigation, we offer the generalized version of q 1 ⁢ q 2 -Simpson's type inequalities via (α , m) -coordinated convex functions. To validate their generalized behavior, we demonstrate the link between our outcomes and the already derived ones. Moreover, we provide some application to special means of positive real numbers to support our findings. The principal outcomes raised in this investigation are extensions and generalizations of the comparable results in the history on Simpson's inequalities for coordinated convex functions. [ABSTRACT FROM AUTHOR]

An innovative way to combat water scarcity brought on by population increase and climate change is rainwater harvesting (RWH), particularly in arid and semiarid areas. Currently, Pakistan is facing major water issues due to underprivileged water resource management, climate change, land use changes, and the sustainability of local water resources. This research aims to find out the suitable sites and options for RWH structures in the Quetta district of Pakistan by integrating the depression depth technique, Boolean analysis, and weighted linear combination (WLC) with hydrological modeling (HM), multicriteria analysis (MCA), a geographic information system (GIS), and remote sensing (RS). To find suitable sites for RWH, a collection of twelve (12) thematic layers were used, including the slope (SL), land use land cover (LULC), subarea (SA), runoff depth (RD), drainage density (DD), lineament density (LD), infiltration number (IFN), distance from built-up area (DB), distance from roads (DR), distance from lakes (DL), maximum flow distance (MFD), and topographic wetness index (TWI). The Boolean analysis and WLC approach were integrated in the GIS environment. The consistency ratio (CR) was calculated to make sure the assigned weights to thematic layers were consistent. Overall, results show that 6.36% (167.418 km2), 14.34% (377.284 km2), 16.36% (430.444 km2), 18.92% (497.663 km2), and 18.64% (490.224 km2) of the area are in the categories of very high, high, moderate, low, and very low suitability, respectively, for RWH. RWH potential is restricted to 25.35% (666.86 km2) of the area. This research also identifies the five (5) best locations for checking dams and the ten (10) best locations for percolation tanks on the streams. The conducted suitability analysis will assist stakeholders in selecting the optimal locations for RWH structures, facilitating the storage of water, and addressing the severe water scarcity prevalent in the area. This study proposes a novel approach to handle the problems of water shortage in conjunction with environmental and socioeconomic pressures in order to achieve the sustainable development goals (SDGs). [ABSTRACT FROM AUTHOR]

This study reports on the linguistic and sociocultural affordances available to multilinguals through their engagement in a social learning space at a Community of Practices (CoPs). Despite the existence of studies on CoP in language learning contexts, however, little work has been conducted on the affordances of a multilingual learning community, especially foreign languages. To fill this empirical gap, we investigated the affordances which give rise to multiple language learning opportunities in a multilingual practice community (MPC) in Indonesia. To this end, we carried out ethnographic research guided by Wenger's (1998) CoP theory, from which data were collected through observations and interviews. In doing observation, the first author's role was as a participant-observer. Applying a semi-structured interview, participants involved were MPC members as well as a member of a board in this community. Interview data are analysed through a thematic analysis, which is informed by CoPs perspectives. Eight themes emerged in the findings: empowering social media, innovative language engagement activities, learning support, personal freedom of learning, intercultural sharing, sharing online learning platforms, language learning for free, and social networking. The implications suggest that language enthusiasts can adapt to the way multilinguals learn foreign languages from this community. [ABSTRACT FROM AUTHOR]

Recent years have witnessed an exponential increase in the research on gold nanoparticles (AuNPs)-based colorimetric sensors to revolutionize point-of-use sensing devices. Hence, this review is compiled focused on current progress in the design and performance parameters of AuNPs-based sensors. The review begins with the characteristics of AuNPs, followed by a brief explanation of synthesis and functionalization methods. Then, the mechanisms of AuNPs-based sensors are comprehensively explained in two broad categories based on the surface plasmon resonance (SPR) characteristics of AuNPs and their peroxidase-like catalytic properties (nanozyme). SPR-based colorimetric sensors further categorize into aggregation, anti-aggregation, etching, growth-mediated, and accumulation-based methods depending on their sensing mechanisms. On the other hand, peroxidase activity-based colorimetric sensors are divided into two methods based on the expression or inhibition of peroxidase-like activity. Next, the analytes in environmental and food samples are classified as inorganic, organic, and biological pollutants, and recent progress in detection of these analytes are reviewed in detail. Finally, conclusions are provided, and future directions are highlighted. Improving the sensitivity, reproducibility, multiplexing capabilities, and cost-effectiveness for colorimetric detection of various analytes in environment and food matrices will have significant impact on fast testing of hazardous substances, hence reducing the pollution load in environment as well as rendering food contamination to ensure food safety. [ABSTRACT FROM AUTHOR]

The optimal performance of direct current (DC) motors is intrinsically linked to their mathematical models' precision and their controllers' effectiveness. However, the limited availability of motor characteristic information poses significant challenges to achieving accurate modeling and robust control. This study introduces an approach employing artificial neural networks (ANNs) to estimate critical DC motor parameters by defining practical constraints that simplify the estimation process. A mathematical model was introduced for optimal parameter estimation, and two advanced learning algorithms were proposed to efficiently train the ANN. The performance of the algorithms was thoroughly analyzed using metrics such as the mean squared error, epoch count, and execution time to ensure the reliability of dynamic priority arbitration and data integrity. Dynamic priority arbitration involves automatically assigning tasks in real-time depending on their relevance for smooth operations, whereas data integrity ensures that information remains accurate, consistent, and reliable throughout the entire process. The ANN-based estimator successfully predicts electromechanical and electrical characteristics, such as back-EMF, moment of inertia, viscous friction coefficient, armature inductance, and armature resistance. Compared to conventional methods, which are often resource-intensive and time-consuming, the proposed solution offers superior accuracy, significantly reduced estimation time, and lower computational costs. The simulation results validated the effectiveness of the proposed ANN under diverse real-world operating conditions, making it a powerful tool for enhancing DC motor performance with practical applications in industrial automation and control systems. [ABSTRACT FROM AUTHOR]

Background/Objectives: Inflammation and analgesia are two prominent symptoms and often lead to chronic medical conditions. To control inflammation and analgesia, many marketed drugs are in practice but the majority of them have severe side effects. Methods: This study involved the synthesis of a pivalate-based Michael product and evaluated it for in vitro COX-1, COX-2, and 5-LOX inhibitory potentials using specific assays. Molecular docking studies were also assessed. Based on the in vitro results, the compound was also subjected to in vivo anti-inflammatory and antinociceptive studies. Results: The pivalate-based Michael product (MAK01) was synthesized by an organocatalytic asymmetric Michael addition of ethyl isobutyrate to N-phenylmaleimide with an isolated yield of 96%. The structure of the compound was confirmed through 1H and 13C NMR analyses. The observed IC50 values for COX-1, COX-2, and 5-LOX were 314, 130, and 105 μg/mL, respectively. The molecular docking studies on the synthesized compound showed binding interactions with the minimized pockets of the respective enzymes. In a carrageenan model, a percent reduction in edema when administered at 10 mg/kg (a reduction of 33.3 ± 0.77% at the second hour), 20 mg/kg (a reduction of 34.7 ± 0.74% at the second hour), and 30 mg/kg (a reduction of 40.58% ± 0.84% after the fifth hour) was observed. The compound showed a significant response at concentrations of 50, 100, and 150 mg/kg with latency times of 10.32 ± 0.82, 12.16 ± 0.51, and 12.93 ± 0.45 s, respectively. Conclusion: In this study, we synthesized a pivalate-based Michael product for the first time. Moreover, based on its rationality and potency, it was found to be an effective future medicine for the management of analgesia and inflammation. [ABSTRACT FROM AUTHOR]

BACKGROUND: Total knee arthroplasty (TKA) is a widely performed surgical procedure aimed at alleviating pain and restoring functionality in individuals suffering from knee osteoarthritis. Despite substantial benefits of TKA, patients are exposed to potential risks, including the occurrence of falls during their recovery period following discharge from the hospital. OBJECTIVE: This integrative review endeavors to comprehensively investigate the existing body of literature to identify and assess the diverse factors that contribute to occurrence of post-discharge falls among TKA patients. Through the synthesis of available research, this study seeks to offer valuable insights that can guide clinical practices and interventions designed to mitigate the incidence of post-TKA falls, ultimately enhancing patient outcomes and quality of healthcare. METHODS: An integrative review was conducted and databases were searched including Pubmed, PEDro, Cochrane, and SPORTDiscus from 2000 to 2024. A thorough search was performed to retrieve articles missed through databases as well as unpublished grey literature. Methodological quality assessment was performed using Newcastle-Ottawa Scale for Case Control and Cohort studies and AXIS tool for cross-sectional study. RESULTS: Eleven articles finally met the inclusion criteria and were included in the review based on eligibility. There were 8 cohort studies (7 prospective cohorts, 1 retrospective cohort), 2 case control studies, and 1 cross-sectional study. The prospective cohort studies included in the review collected data in real-time as events occurred, making them particularly relevant for studying post-TKA falls. CONCLUSION: Patients who underwent TKA are at risk of post-discharge falls. Several key risk factors have been identified, including advancing age, female gender, reduced proprioception, psychiatric disorders, living alone, and knee pain in the operated knee. It is important to recognize that the significance of these risk factors can vary depending on individual circumstances and contexts. [ABSTRACT FROM AUTHOR]

Background and Objective: Our understanding of homicide-suicide (H-S), a rare yet tragic event, is sparse. While the phenomenon has been studied in the West for many years, only limited literature is available from Asia and none to our knowledge from Pakistan. There is evidence of complexity of the interaction between cultural, societal, and psychological mechanisms underlying this phenomenon; therefore, research findings from the Western countries cannot be directly applied in non-Western societies. Our objective was to study homicide-suicides in Pakistan, describe the characteristics of offenders and victims, determine the types of H-S, and examine possible motives and any events prior to the offense. Methods: In the absence of any official data on homicide-suicides, we used newspaper surveillance approach of four most widely circulated Pakistani newspapers (one Urdu and three English Daily) for two years (1st January 2019 to 31st December 2020). Each case was categorized using the modified Marzuk et al., Tardiff, and Hirsch's classification of homicide-suicides. Descriptive statistics were used to analyze the data that was then compared with published literature. Results: There were 114 H-S incidents with 198 victims of homicide during the study period, reported in the newspapers. Familial H-S particularly filicide-suicide were predominant, followed by spousal/ consortial H-S. Forty-one (36%) H-S involved multiple victims. The perpetrators across all categories of H-S were predominantly male (67%); the victims were predominantly women and children. Firearms were used in most incidents. The primary motive for the majority of H-S cases was familial, financial, and social stressors. Conclusions: The study highlights several unique patterns (predominance of familicide, multiple victims including high proportion of children) and a series of vulnerabilities (incidents related mostly to familial/ financial and social stressors) that overlap each other and ultimately lead to this tragic end. There is need to increase our understanding and develop effective evidence-based prevention strategies for H-S in Pakistan. It is also very important to have a national surveillance network and national violent death reporting system in the country for studying H-S cases, and for evaluating the impact of prevention programs. [ABSTRACT FROM AUTHOR]