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Eriophyid mites, minute arachnids within the family Eriophyidae, pose significant threats to fruit crops globally, leading to substantial economic losses in agriculture. This comprehensive review aims to elucidate the intricate biology, ecology, molecular aspects, and innovative control strategies of these pervasive pests. Eriophyid mites exhibit a complex life cycle and reproductive strategy, with their habitat preferences and distribution heavily influenced by environmental factors and host-plant interactions. Advances in molecular biology have provided more profound insights into their genetics and interactions at the molecular level, revealing crucial information for developing targeted pest management strategies. Control strategies for eriophyid mites encompass chemical methods, such as applying acaricides and understanding resistance mechanisms, as well as biological control using natural predators and parasitoids. Cultural and physical control methods, including crop rotation and mechanical removal, play vital roles in integrated pest management (IPM). Emerging approaches like RNA interference (RNAi) and semiochemical-based controls offer promising alternatives for sustainable pest management. This review underscores the importance of a multifaceted approach to effectively manage eriophyid mite infestations, integrating traditional and novel strategies. Future research should focus on overcoming current challenges, enhancing the efficacy of control methods, and further exploring the molecular mechanisms underlying mite-plant interactions

Abstract Background Existing implementation measures developed in high-income countries may have limited appropriateness for use within low- and middle-income countries (LMIC). In response, researchers at Johns Hopkins University began developing the Mental Health Implementation Science Tools (mhIST) in 2013 to assess priority implementation determinants and outcomes across four key stakeholder groups—consumers, providers, organization leaders, and policy makers—with dedicated versions of scales for each group. These were field tested and refined in several contexts, and criterion validity was established in Ukraine. The Consumer and Provider mhIST have since grown in popularity in mental health research, outpacing psychometric evaluation. Our objective was to establish the cross-context psychometric properties of these versions and inform future revisions. Methods We compiled secondary data from seven studies across six LMIC—Colombia, Myanmar, Pakistan, Thailand, Ukraine, and Zambia—to evaluate the psychometric performance of the Consumer and Provider mhIST. We used exploratory factor analysis to identify dimensionality, factor structure, and item loadings for each scale within each stakeholder version. We also used alignment analysis (i.e., multi-group confirmatory factor analysis) to estimate measurement invariance and differential item functioning of the Consumer scales across the six countries. Results All but one scale within the Provider and Consumer versions had Cronbach’s alpha greater than 0.8. Exploratory factor analysis indicated most scales were multidimensional, with factors generally aligning with a priori subscales for the Provider version; the Consumer version has no predefined subscales. Alignment analysis of the Consumer mhIST indicated a range of measurement invariance for scales across settings (R 2 0.46 to 0.77). Several items were identified for potential revision due to participant nonresponse or low or cross- factor loadings. We found only one item, which asked consumers whether their intervention provider was available when needed, to have differential item functioning in both intercept and loading. Conclusion We provide evidence that the Consumer and Provider versions of the mhIST are internally valid and reliable across diverse contexts and stakeholder groups for mental health research in LMIC. We recommend the instrument be revised based on these analyses and future research examine instrument utility by linking measurement to other outcomes of interest.

Background. Adjuvant immune checkpoint inhibitors are a new standard of care in melanoma. However, the immune related toxicity associated with these agents can be serious, and the long-term implications are yet to be defined especially in the adjuvant setting. We report, to our knowledge, the first case of anti-PD-1-induced eosinophilic asthma in a melanoma patient treated with adjuvant pembrolizumab. Case Presentation. A 72-year-old man commenced pembrolizumab in the adjuvant setting after resection of a stage IIIB cutaneous melanoma. The patient experienced episodes of breathlessness 4 weeks after cycle 1. These episodes were nocturnal and caused acute respiratory distress and cough, occasionally waking him up. The episodes progressed, and he was admitted after cycle 2 with a productive cough, wheeze, and breathlessness. Observations showed saturations on air of 94% and a respiratory rate of 19/min. The only laboratory abnormality was a raised eosinophil count of 1.1×109. Spirometry showed a FEV1 of 2.57 (91% predicted), FVC of 4.04 (108% predicted), and ratio of 64%. Peak expiratory flow rate was 94% predicted, and corrected gas transfer was 6.29 (78% predicted) with KCO 1.18 (93% predicted). FeNO was raised at 129 indicating inflammation of his airways, and peak flow was 422 l/min. CT of the chest did not show pneumonitis or other lung pathology. A diagnosis of acute eosinophilic asthma was made. Treatment with steroids and beclometasone dipropionate and formoterol inhaler produced rapid resolution of symptoms and normalisation of the eosinophil count. Pembrolizumab was safely recommenced once steroids had discontinued and symptoms had resolved. Conclusions. Specialist respiratory input was needed for optimal patient management and is ongoing. Although a safe rechallenge with pembrolizumab was possible, treatment in the adjuvant setting is curative in intent and long-term safety follow-up is required to assess for delayed toxicity and long-term health implications. This is likely to require large regional/national/international databases to detect, monitor, and educate the wider medical community as these patients are followed up in primary care following initial specialist follow-up.

Transgenic Brassica napus harboring the synthetic chitinase (NiC) gene exhibits broad-spectrum antifungal resistance. As the rhizosphere microorganisms play an important role in element cycling and nutrient transformation, therefore, biosafety assessment of NiC containing transgenic plants on soil ecosystem is a regulatory requirement. The current study is designed to evaluate the impact of NiC gene on the rhizosphere enzyme activities and microbial community structure. The transgenic lines with the synthetic chitinase gene (NiC) showed resistance to Alternaria brassicicola, a common disease causing fungal pathogen. The rhizosphere enzyme analysis showed no significant difference in the activities of fivesoil enzymes: alkalyine phosphomonoestarase, arylsulphatase, β-glucosidase, urease and sucrase between the transgenic and non-transgenic lines of B. napus varieties, Durr-e-NIFA (DN) and Abasyne-95 (AB-95). However, varietal differences were observed based on the analysis of molecular variance. Some individual enzymes were significantly different in the transgenic lines from those of non-transgenic but the results were not reproducible in the second trail and thus were considered as environmental effect. Genotypic diversity of soil microbes through 16S–23S rRNA intergenic spacer region amplification was conducted to evaluate the potential impact of the transgene. No significant diversity (4% for bacteria and 12% for fungal) between soil microbes of NiC B. napus and the non-transgenic lines was found. However, significant varietal differences were observed between DN and AB-95 with 79% for bacterial and 54% for fungal diversity. We conclude that the NiC B. napus lines may not affect the microbial enzyme activities and community structure of the rhizosphere soil. Varietal differences might be responsible for minor changes in the tested parameters.

Studies were carried out on the fermentative production of γ-linolenic acid (GLA) using seven strains belonging to Mucorales. An oleaginous fungal strain, isolated from the Western Ghats of Kerala produced GLA at a level of 8 % (by mass), when grown in a complex medium containing glucose as the sole carbon source. Effects of different culture conditions were investigated in shake flasks. Maximum dry biomass and total GLA obtained were 48.4 g/L and 636 mg/L, respectively, in the culture cultivated at 30 °C and 200 rpm for 7 days. Among the organic nitrogen sources investigated, yeast extract, and combination of corn steep liquor and baker’s yeast in 1:1 ratio were useful for enhancing the GLA production and the effects were comparable.

Eriophyid mites, minute arachnids within the family Eriophyidae, pose significant threats to fruit crops globally, leading to substantial economic losses in agriculture. This comprehensive review aims to elucidate the intricate biology, ecology, molecular aspects, and innovative control strategies of these pervasive pests. Eriophyid mites exhibit a complex life cycle and reproductive strategy, with their habitat preferences and distribution heavily influenced by environmental factors and host-plant interactions. Advances in molecular biology have provided more profound insights into their genetics and interactions at the molecular level, revealing crucial information for developing targeted pest management strategies. Control strategies for eriophyid mites encompass chemical methods, such as applying acaricides and understanding resistance mechanisms, as well as biological control using natural predators and parasitoids. Cultural and physical control methods, including crop rotation and mechanical removal, play vital roles in integrated pest management (IPM). Emerging approaches like RNA interference (RNAi) and semiochemical-based controls offer promising alternatives for sustainable pest management. This review underscores the importance of a multifaceted approach to effectively manage eriophyid mite infestations, integrating traditional and novel strategies. Future research should focus on overcoming current challenges, enhancing the efficacy of control methods, and further exploring the molecular mechanisms underlying mite-plant interactions. [ABSTRACT FROM AUTHOR]

Background: Antiplatelet therapy is used to decrease the risk of graft failure post coronary artery bypass graft surgery. We aimed to compare dual antiplatelet therapy (DAPT) with monotherapy along with a comparison of Aspirin, Ticagrelor, Aspirin+Ticagrelor (A+T) and Aspirin+Clopidogrel (A+C) to determine the major and minor bleeding risk, risk of postoperative myocardial infarction (MI), stroke, and all-cause mortality (ACM). Methods: Randomized Controlled Trials comparing the four groups were included. Odds ratio (OR) and Absolute Risk (AR) were employed to assess the mean and standard deviation (SD) with 95% confidence intervals (CI). The Bayesian random-effects model was used for statistical analysis. Risk difference and Cochran Q tests were used to calculate rank probability (RP) and heterogeneity, respectively. Results: We included 10 trials, consisting of 21 arms and 3926 patients. For the risk of major and minor bleed, A + T and Ticagrelor showed the lowest mean value of 0.040 (0.043) and 0.067 (0.073), respectively, and the highest RP of being the safest group. While a direct comparison between DAPT and monotherapy resulted in an OR of 0.57 [0.34, 0.95] for the risk of minor bleed. A + T was found to have the highest RP and the lowest mean value in terms of ACM, MI, and stroke. Conclusion: No significant difference was found between monotherapy or dual-antiplatelet therapy for the major bleeding risk safety outcome, however DAPT was found to have a significantly higher rate of minor bleeding complications post-CABG. DAPT should be considered as the antiplatelet modality of choice post-CABG. [ABSTRACT FROM AUTHOR]

Abstract Modern natural language processing (NLP) state-of-the-art (SoTA) deep learning (DL) models have hundreds of millions of parameters, making them extremely complex. Large datasets are required for training these models, and while pretraining has reduced this requirement, human-labelled datasets are still necessary for fine-tuning. Few-shot learning (FSL) techniques, such as meta-learning, try to train models from smaller datasets to mitigate this cost. However, the tasks used to evaluate these meta-learners frequently diverge from the problems in the real world that they are meant to resolve. This work aims to apply meta-learning to a problem that is more pertinent to the real world: class incremental learning (IL). In this scenario, after completing its training, the model learns to classify newly introduced classes. One unique quality of meta-learners is that they can generalise from a small sample size to classes that have never been seen before, which makes them especially useful for class incremental learning (IL). The method describes how to emulate class IL using proxy new classes. This method allows a meta-learner to complete the task without the need for retraining. To generate predictions, the transformer-based aggregation function in a meta-learner that modifies data from examples across all classes has been proposed. The principal contributions of the model include concurrently considering the entire support and query sets, and prioritising attention to crucial samples, such as the question, to increase the significance of its impact during inference. The outcomes demonstrate that the model surpasses prevailing benchmarks in the industry. Notably, most meta-learners demonstrate significant generalisation in the context of class IL even without specific training for this task. This paper establishes a high-performing baseline for subsequent transformer-based aggregation techniques, thereby emphasising the practical significance of meta-learners in class IL.

The use of video streaming is constantly increasing. High-resolution video requires resources on both the sender and the receiver side. Many compression techniques can be utilized to compress the video and simultaneously maintain quality. The main goal of this paper is to provide an overview of video streaming and QoE. This paper describes the basic concepts and discusses existing methodologies to measure QoE. Subjective, objective, and video compression technologies are discussed. This review paper gathers the codec implementation developed by MPEG, Google, and Apple. This paper outlines the challenges and future research directions that should be considered in the measurement and assessment of the quality of experience for video services.

Rising energy demand, resource depletion, and environmental issues tied to fossil fuels demand a transition to renewable energy. Solar power, abundant and well-established, presents a promising solution to address our expanding energy requirements. The sun radiates an astonishing amount of energy every second, far more than humanity’s current and future energy needs. Accurate solar radiation prediction is crucial for optimizing solar panel design, placement, and grid integration. This paper aims to predict daily global solar radiation data for six Pakistani cities: Karachi, Lahore, Islamabad, Quetta, Peshawar, and Multan. It highlights the importance of advanced algorithms and introduces an innovative data collection method using pyranometer sensors and microcontrollers, making data storage and analysis more affordable and efficient while reducing the financial burdens associated with traditional equipment. Focusing on Pakistan’s diverse solar radiation potential, this research evaluates eight machine learning algorithms using seven key statistical metrics to understand and compare their performance in predicting solar radiation. Four algorithms, k-nearest neighbors, Random Forest Regression, Gradient Boosting Regression, and Support Vector Regression (SVR), consistently exhibit remarkable precision, achieving outstanding R2 values of up to 99%. This highlights the crucial role of algorithm selection in solar radiation prediction, with SVR emerging as the top choice. SVR’s precise and reliable forecasts empower renewable energy planning and decision-making. This study provides valuable guidance for decision-makers to optimize solar energy utilization across diverse geographical regions and contributes invaluable insights to the field of renewable energy forecasting.

Despite its ambitious “economic sustainability” objectives, the China-Pakistan Economic Corridor (CPEC) has been the subject of growing environmental anxiety. Considering the CPEC developments, it is clear that Pakistan is ready to fully embrace this new industrial chapter and take advantage of its major benefits to solve social, energy, infrastructure, and economic problems. However, it should also seriously commit to undertaking proper environmental impact assessments and upgrading system resilience. Data was collected from 400 respondents from Pakistan, and structural equation modeling was applied with the help of AMOS. Factor analysis and structural equation modeling techniques were used to estimate the results and test the study's hypothesis. The results indicate a strong socio-economic impact across perceived economic, infrastructure, social, and total impacts, but they identify a negative association between infrastructure innovation and environmental sustainability. Moreover, results revealed that infrastructure supports social and economic growth, but it might have a substantial negative impact on biodiversity. According to findings, Pakistan may be more vulnerable to climate change due to three potential environmental issues: coal-fired power plants, CO2 concentration along the CPEC route, and increased traffic on the Karakorum Highway. Furthermore, future international trade will be significantly impacted by the corridor. It may, however, also accelerate the destruction of the ecosystem over time due to the industrial revolution.

Trace element contamination in water is a global issue due to its widespread occurrence and health effects. Regular intake of elevated metal levels in drinking water can unequivocally cause several types of cancers. This study was primarily focused to assess the quality of drinking water in Allai, Nagar and along River Indus. So for this study a total of 64 spring, 14 waterfall and 7 glacier water samples were collected. Additionally, 13 sediment samples were also collected from Allai and Nagar which were located in the vicinity of mountainous River Indus, Pakistan. The samples were tested for arsenic, calcium, chromium, copper, iron, lead, magnesium, potassium, sodium and zinc using inductively coupled plasma optical emission spectroscopy so as to get the elemental concentrations in parts per billion. The range of metals and other trace elements were compared with the guidelines of World Health Organization (WHO) and the standards laid down by Environmental Protection Agency of Pakistan. The results revealed the (minimum-maximum) concentrations (µg/L) of drinking water quality parameters as follows: arsenic 0-0.06, calcium 1.74-176.87, chromium 0-0, copper 0-0, iron 0-0.25, sodium 1.27-292, potassium 0-24.01, magnesium 0.05-120.22, lead 0-0 and zinc 0-0. Moreover, the (minimum-maximum) concentrations (µg/L) of sediment samples were recorded as arsenic 0-0. 88, calcium 42.98-2068, chromium 0.16-0.65, copper 0.12-1.76, iron 166-544, sodium 8.99-15.36, potassium 35.57-247, magnesium 47.14-453, lead 0-0.23 and zinc 0.67-1.66. The study concluded that all the samples collected from the vicinity of River Indus had elemental concentrations within the recommended guidelines set by the National Drinking Water Quality Standards of Pakistan and WHO. Furthermore, a detailed study encompassing samples from the springs, glaciers, waterfalls and lakes is recommended to evaluate the possible trace element contamination either due to deposition or mixing of metal bearing rocks with water both in the low lying and highland areas of Upper Indus Basin. The outcomes of this research can be useful for the concerned authorities of Gilgit Baltistan and Khyber Pakhtunkhwa Province in the provision of safe drinking water to the people living in the vicinity of River Indus, Pakistan.

IntroductionThe utilization of plant material for synthesizing nanoparticles effectively triggers physiological and biochemical responses in plants to combat abiotic stresses. Salt stress, particularly caused by NaCl, significantly affects plant morphology and physiology, leading to reduced crop yields. Understanding the mechanisms of salt tolerance is crucial for maintaining crop productivity.MethodsIn this study, we examined the effects of 150 μM spinach-assisted gold nanoparticles (S-AuNPs) on various parameters related to seed germination, growth attributes, photosynthetic pigments, stomatal traits, ion concentrations, stress markers, antioxidants, metabolites, and nutritional contents of spinach plants irrigated with 50 mM NaCl.ResultsResults showed that S-AuNPs enhanced chlorophyll levels, leading to improved light absorption, increased photosynthates production, higher sugar content, and stimulated plant growth under NaCl stress. Stomatal traits were improved, and partially closed stomata were reopened with S-AuNPs treatment, possibly due to K+/Na+ modulation, resulting in enhanced relative water content and stomatal conductance. ABA content decreased under S-AuNPs application, possibly due to K+ ion accumulation. S-AuNPs supplementation increased proline and flavonoid contents while reducing ROS accumulation and lipid peroxidation via activation of both non-enzymatic and enzymatic antioxidants. S-AuNPs also regulated the ionic ratio of K+/Na+, leading to decreased Na+ accumulation and increased levels of essential ions in spinach plants under NaCl irrigation.DiscussionOverall, these findings suggest that S-AuNPs significantly contribute to salt stress endurance in spinach plants by modulating various physiological attributes.