Genetic testing perspectives in Pakistani population: a survey on knowledge, attitudes, awareness, and concerns.

A higher rate of consanguineous marriages is associated with the increasing prevalence of genetic disorders, imposing a significant burden on families, public health, and healthcare systems. Genetic testing facilitates the earlier detection of disease and personalized treatment approaches. Therefore, this study aims to assess knowledge, awareness, attitudes, and concerns regarding genetic testing in the Pakistani population. Participants (n = 494) were asked about factors that influence attitudes toward undergoing genetic testing. Furthermore, the study also investigates the concerns and reservations held by the Pakistani population regarding genetic testing. Participants indicated that consanguineous marriages lead to an increased risk of hereditary disorders and agreed that knowledge of genetic diseases can improve the quality of life. Almost 80% of the respondents know the term, and the majority of them know about genetic testing. 87.7% of respondents agreed to genetic screening before marriage, and 39.9% were willing to undergo genetic testing. More knowledge was significantly associated with a higher likelihood of accepting genetic testing, indicating potential acceptance if integrated into standard procedures. Those with a family history of genetic disorders were more positive in accepting genetic testing. The level of understanding regarding genetic testing also influences the concerns. Cultural or religious beliefs may also affect the decision to accept genetic testing. The survey reveals diverse opinions and knowledge levels regarding genetic testing in Pakistan. While there was generally positive interest, concerns about privacy, accuracy, and cultural factors should be addressed. Education and awareness campaigns could help improve understanding and acceptance.

Effect of hot saline irrigation on the operative field during endoscopic sinus surgery: a randomized controlled trial.

BACKGROUND: Control of bleeding is very important during endoscopic sinus surgery. Saline heated up to 50 °C causes dilatation of vessels and edema without nasal mucosa necrosis. It also promotes the clotting cascade so helps in having a bloodless procedure. METHODS AND MATERIALS: This randomized controlled trial was conducted on 60 patients divided into two groups (30 each). Group A was the interventional group in which patients were irrigated with saline of 50 °C during surgery. Group B was the control group where room-temperature saline was used. The operative field was assessed using the Boezaart score, duration of surgery, and bleeding in ml. RESULTS: The Boezaart score in group A came out to be 2.23 ± 0.72 whereas it was 3.43 ± 0.72 in group B. Most of the patients who were in the interventional group had their surgery completed within 60 min with comparatively less bleeding (mean bleeding = 221.83 ml). Patients of the control group had increased duration of surgery mostly and bleeding (mean = 265.67 ml). Our study showed a strong correlation amongst the Boezaart score, duration of surgery, and bleeding in ml with a p value of < 0.001 where all three variables significantly improved in the interventional group due to a good operative field provided by warm saline heated up to 50 °C. CONCLUSION: Normal saline heated up to 50 °C is a cost-effective way to achieve a bloodless operative field during endoscopic sinus surgery. Reduced bleeding also decreases the duration of surgery.

Revealing the Role of Ruthenium on the Performance of P2-Type Na0.67Mn1-xRuxO2 Cathodes for Na-Ion Full-Cells.

Herein, P2-type layered manganese and ruthenium oxide is synthesized as an outstanding intercalation cathode material for high-energy density Na-ion batteries (NIBs). P2-type sodium deficient transition metal oxide structure, Na0.67Mn1-xRuxO2 cathodes where x varied between 0.05 and 0.5 are fabricated. The partially substituted main phase where x = 0.4 exhibits the best electrochemical performance with a discharge capacity of ≈170 mAh g-1. The in situ X-ray Absorption Spectroscopy (XAS) and time-resolved X-ray Diffraction (TR-XRD) measurements are performed to elucidate the neighborhood of the local structure and lattice parameters during cycling. X-ray photoelectron spectroscopy (XPS) revealed the oxygen-rich structure when Ru is introduced. Density of States (DOS) calculations revealed the Fermi-Level bandgap increases when Ru is doped, which enhances the electronic conductivity of the cathode. Furthermore, magnetization calculations revealed the presence of stronger Ru─O bonds and the stabilizing effect of Ru-doping on MnO6 octahedra. The results of Time-of-flight secondary-ion mass spectroscopy (TOF-SIMS) revealed that the Ru-doped sample has more sodium and oxygenated-based species on the surface, while the inner layers mainly contain Ru-O and Mn-O species. The full cell study demonstrated the outstanding capacity retention where the cell maintained 70% of its initial capacity at 1 C-rate after 500 cycles.

Corrigendum: Antibiotic resistance: One Health One World outlook.

[This corrects the article DOI: 10.3389/fcimb.2021.771510.].

Effectiveness of hypertonic saline with or without hyaluronic acid among patients with cystic fibrosis: a systematic review and meta-analysis.

Background: The clinical effectiveness of hypertonic saline (HS) in individuals with cystic fibrosis (CF) can be compromised by adverse effects. The objective of this study was to examine the efficacy of hyaluronic acid (HA) in mitigating these negative occurrences. Methods: A comprehensive review of the literature was carried out using three electronic databases: Medline, Cochrane Central, and Embase. This systematic review and meta-analysis investigate the efficacy of hypertonic saline (HS) with and without hyaluronic acid (HA) in treating cystic fibrosis. Primary outcomes include the incidence of cough, throat irritation, unpleasant taste, and changes in FEV1. Our findings suggest that adding HA to HS significantly reduces adverse effects and enhances patient tolerability, marking a potential improvement in cystic fibrosis therapy. Risk ratios (RRs) and mean differences (MDs) with 95% CI were used to present evaluations. The quality of RCTs was evaluated using the Cochrane Risk of Bias Tool (CRBT). The quality of the observational study was evaluated using the Newcastle-Ottawa Scale. Results: From the 1960 articles retrieved from the initial search, five relevant studies (n=236 patients) were included in the final analysis. Compared with patients only on HS, patients with HS and HA were significantly less likely to experience cough (RR: 0.45; 95% CI, 0.28-0.72, P=0.001), throat irritation (RR: 0.43; 95% CI, 0.22-0.81, P=0.009), and unpleasant smell (RR: 0.43; 95% CI, 0.23-0.80, P=0.09). In addition, patients with HS with HA had significantly less forced expiratory volume (FEV1) (MD: -2.97; 95% CI, -3.79--2.15, P=0.52), compared to patients only on HS. Patients on HA + HS had significantly lower rates of cough (RR: 0.45; 95% CI, 0.28-0.72, P=0.001), throat irritation (RR: 0.43; 95% CI, 0.22-0.81, P=0.009), and bad smell (RR: 0.43; 95% CI, 0.23-0.80, P=0.09) when compared to patients on HS alone. Furthermore, compared to patients solely on HS, patients with HS plus HA exhibited a substantially lower forced expiratory volume (FEV1) (MD: -2.97; 95% CI, -3.79 to -2.15, P=0.52) as well. Conclusion: For CF patients who need ongoing HS therapy and have a history of poor therapy tolerance, adding HA is beneficial.

Exploring the perspectives of healthcare professionals regarding artificial intelligence; acceptance and challenges.

OBJECTIVES: The main objective of the study was to explore the perspectives of healthcare professionals (HCPs) regarding artificial intelligence (AI) and to identify challenges in its incorporation in the healthcare sector of Pakistan. METHODS: A qualitative exploratory study design was adopted. The study was conducted from January 15th to February 29th, 2024, and HCPs (doctors, pharmacists and nurses) from two tertiary care teaching hospitals in southern Punjab, Pakistan were taken as the study population. The interviews were conducted with the help of a semi structured interview schema. A thematic approach was adopted to analyse the data. RESULTS: Out of 40 HCPs approached, 25 participated in the study with a response rate of 62%. The participants included in the study were doctors (14), pharmacists (6) and nurses (5). The participants had limited knowledge regarding AI and its basics. However, they showed positive perceptions about its incorporation. They believed that many of the problems faced by the healthcare sector of Pakistan can be minimized by AI incorporation. They believed that AI can boost up the efficiency of healthcare providers, reduce their workload, save time and minimize medical errors. Four main themes with multiple subthemes were identified: (1) Cognizance of AI, (2) Acceptability of AI among HCPs and training requirements for effective incorporation, (3) Merits and Demerits of AI, and (4) Challenges in incorporation of AI with proposed solutions. CONCLUSION: HCPs showed a willingness to embrace AI incorporation and believed that it may bring numerous benefits to the health system. Policymakers should take necessary steps to ensure AI incorporation in our healthcare sector.

Role of Tympanometric Ear Canal Volumes in Determining Outcome of Myringoplasty in Chronic Suppurative Otitis Media Patients.

Middle ear aeration is a predictive indicator of myringoplasty's successful outcome and tympanometric ear canal volume is a novel investigation that can estimate the volume of middle ear cleft and mastoid air cells. Our aim of this study is to determine the role of tympanometric ear canal volume on myringoplasty outcome in Chronic Suppurative Otitis Media Patients. Prospective analysis involving 50 patients of CSOM was performed on patients undergoing myringoplasty from April 2022 to December 2023. Smokers, Patients with squamosal COM, Bilateral COM, Otitis Externa, and Revision surgery were excluded from the study. The successful outcome of surgery was defined as no tympanic membrane perforation on postoperative follow-up. Analysis was carried out using SPSS. V. 25 and P-value less than 0.05 was considered significant. A total of 50 patients were included in the study with a mean age of 24.4 ± 8.965 and male predominance. Overall graft uptake was 64%. Graft uptake had no significant statistical correlation with age, gender, type, location, or size of perforation. However, there is a significant effect of tympanometric ear canal volume of pathological ear and interaural tympanometric ear canal volume difference on graft uptake with p-values of 0.023 and 0.033 respectively. Tympanometric ear canal volume can predict middle ear aeration and the higher the interaural tympanometric canal difference more are the chances of successful graft uptake.

In-hospital initiation of sodium-glucose co-transporter-2 inhibitors in patients with acute heart failure.

Sodium-glucose cotransporter-2 (SGLT2) inhibitors provide cardiovascular and kidney benefits to patients with heart failure (HF) and/or chronic kidney disease (CKD), regardless of diabetes status and left ventricular ejection fraction (LVEF). Despite robust data demonstrating the efficacy of SGLT-2 inhibitors in both ambulatory and hospital settings, real-world evidence suggests slow and varied adoption of SGLT2 inhibitors among patients hospitalized for HF. Barriers to implementation of SGLT2i may include clinicians' concerns regarding potential adverse events such as diabetic ketoacidosis (DKA), volume depletion, and symptomatic hypoglycemia; or concerns regarding physiologically expected reductions in eGFR. Guidelines lack specific, practical safety data and definitive recommendations regarding in-hospital initiation and continuation of SGLT2i in patients hospitalized with HF. In this review, we discuss the safety of in-hospital SGLT2 inhibitor initiation based on recent trials and highlight the clinical implications of their early use in patients hospitalized for HF.

Coupling Taguchi experimental designs with deep adaptive learning enhanced AI process models for experimental cost savings in manufacturing process development.

The Aluminum alloy AA7075 workpiece material is observed under dry finishing turning operation. This work is an investigation reporting promising potential of deep adaptive learning enhanced artificial intelligence process models for L18 (6133) Taguchi orthogonal array experiments and major cost saving potential in machining process optimization. Six different tool inserts are used as categorical parameter along with three continuous operational parameters i.e., depth of cut, feed rate and cutting speed to study the effect of these parameters on workpiece surface roughness and tool life. The data obtained from special L18 (6133) orthogonal array experimental design in dry finishing turning process is used to train AI models. Multi-layer perceptron based artificial neural networks (MLP-ANNs), support vector machines (SVMs) and decision trees are compared for better understanding ability of low resolution experimental design. The AI models can be used with low resolution experimental design to obtain causal relationships between input and output variables. The best performing operational input ranges are identified for output parameters. AI-response surfaces indicate different tool life behavior for alloy based coated tool inserts and non-alloy based coated tool inserts. The AI-Taguchi hybrid modelling and optimization technique helped in achieving 26% of experimental savings (obtaining causal relation with 26% less number of experiments) compared to conventional Taguchi design combined with two screened factors three levels full factorial experimentation.

Surgical management and outcomes of renal tumors with inferior vena cava extension among children: a single center retrospective study from Pakistan.

OBJECTIVE: The aim of this study was to assess management and determine outcomes of renal tumors with inferior vena cava (IVC) and intracardiac (IC) extension in a tertiary care center in Pakistan. METHODS: A retrospective chart review was conducted at the Aga Khan University Hospital, Karachi, Pakistan. All patients from 1 to 18 years of age with renal tumors with intravascular extensions, surgically managed from January 1988 till June 2016, were included. Data was extracted by reviewing medical records, and the tumor details, treatment and outcomes were analyzed. RESULTS: A total of 18 patients out of the total 61 patients with renal tumors, presented with IVC and/or IC extension, with the majority involving the right kidney. Mean age was 5.9 (SD:4.9) and a female preponderance (56%) was seen. Wilms tumor (77%) was the most common tumor type, with the level of tumor extension into IVC predominantly being below the diaphragm (55.5%). Fourteen patients received preoperative chemotherapy, with tumor regression, seen in 10. Most patients underwent thrombectomy through the renal vein (56%). Regarding outcomes, frequency of mortality and morbidity was 1 and 2, respectively, with 7 patients having no recurrent 5 years post-surgery. CONCLUSION: A greater incidence (29.5%) of IVC and or IC Tumor extension was found compared to existing literature, which could likely be due to a higher referral rate to the center. Moreover, this is a single-center study and so a multi-center study is crucial to form an assessment of surgical management in resource-limited settings. Our study is the first from Pakistan on this particular renal tumor presentation. Considering the varying case presentations and surgical techniques used, further studies are needed to standardize surgical management and optimize patient outcomes.

Calorie and nutrient gap analysis of jail menu and nutritional status of the prisoners of District Jail, Faisalabad, Pakistan.

Assessment of prisoners' diet showed that it is deficient in calories as well as in Recommended Daily Allowance values. Caloric value was about 64.9% deficient considering one serving (plate per time) taken. A quantitative-qualitative mixed approach was adopted. Convenient purposive sampling was employed to recruit 112 participants. For quantitative assessment a descriptive cross-sectional study design and semistructured data collection tool was used, and for qualitative evaluation, caloric and RDA value of different nutrients were calculated and in-depth interviews were conducted. Analysis showed that the diet provided was deficient in caloric and RDA values, thus the prison authority should design a proper strategy to ensure proper nutritional status of prisoners.

RCLNet: an effective anomaly-based intrusion detection for securing the IoMT system.

The Internet of Medical Things (IoMT) has revolutionized healthcare with remote patient monitoring and real-time diagnosis, but securing patient data remains a critical challenge due to sophisticated cyber threats and the sensitivity of medical information. Traditional machine learning methods struggle to capture the complex patterns in IoMT data, and conventional intrusion detection systems often fail to identify unknown attacks, leading to high false positive rates and compromised patient data security. To address these issues, we propose RCLNet, an effective Anomaly-based Intrusion Detection System (A-IDS) for IoMT. RCLNet employs a multi-faceted approach, including Random Forest (RF) for feature selection, the integration of Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) models to enhance pattern recognition, and a Self-Adaptive Attention Layer Mechanism (SAALM) designed specifically for the unique challenges of IoMT. Additionally, RCLNet utilizes focal loss (FL) to manage imbalanced data distributions, a common challenge in IoMT datasets. Evaluation using the WUSTL-EHMS-2020 healthcare dataset demonstrates that RCLNet outperforms recent state-of-the-art methods, achieving a remarkable accuracy of 99.78%, highlighting its potential to significantly improve the security and confidentiality of patient data in IoMT healthcare systems.

Particulate atomisation design methods for the development and engineering of advanced drug delivery systems: A review.

The role and opportunities presented by particulate technologies (due to novel processing methods and advanced materials) have multiplied over the last few decades, leading to promising and ideal properties for drug delivery. For example, the dissolution and bioavailability of poorly soluble drug substances and achieving site- specific drug delivery with a desired release profile are crucial aspects of forming (to some extent) state-of-the-art platforms. Atomisation techniques are intended to achieve efficient control over particle size, improved processing time, improved drug loading efficiency, and the opportunity to encapsulate a broad range of viable yet sensitive therapeutic moieties. Particulate engineering through atomization is accomplished by employing various mechanisms such as air, no air, centrifugal, electrohydrodynamic, acoustic, and supercritical fluid driven processes. These driving forces overcome capillary stresses (e.g., liquid viscosity, surface tension) and transform formulation media (liquid) into fine droplets. More frequently, solvent removal, multiple methods are included to reduce the final size distribution. Nevertheless, a thorough understanding of fluid mechanics, thermodynamics, heat, and mass transfer is imperative to appreciate and predict outputs in real time. More so, in recent years, several advancements have been introduced to improve such processes through complex particle design coupled with quality by-design (QbD) yielding optimal particulate geometry in a predictable manner. Despite these valuable and numerous advancements, atomisation techniques face difficulty scaling up from laboratory scales to manufacturing industry scales. This review details the various atomisation techniques (from design to mechanism) along with examples of drug delivery systems developed. In addition, future perspectives and bottlenecks are provided while highlighting current and selected seminal developments in the field.

The Economic Burden of Type 2 Diabetes Mellitus in Pakistan: A Cost of Illness Study.

BACKGROUND: Type 2 Diabetes Mellitus (T2DM) is a highly prevalent disease with a chronic nature and poses a significant health burden worldwide, with no exception in Pakistan. Hence, this study aimed to explore the financial burden of T2DM in Pakistan through cost of illness analysis. METHODS: A prevalence-based, cross-sectional study was conducted using a structured data collection tool from the patient's perspective. Through structured interviews by trained data collectors, the data regarding direct medical costs, direct non-medical costs, and indirect costs were collected and further verified through prescriptions and bills. After testing the normality of data, mean and median with interquartile range were used to present cost data, while non-parametric tests, i.e., the Mann-Whitney U test and the Kruskal-Wallis test, were used to assess factors associated with costs, as cost data were not normally distributed. RESULTS: The study included 522 participants, with a majority being female (54%) and aged between 41 and 60 years (64%). The mean annual total cost per patient was USD 235.1 (median = USD 162.8), comprising direct medical costs, 93.2% (mean = USD 219.2; median = USD 150.0), direct non-medical costs, 5.3% (mean = USD 12.4; median = USD 7.1), and indirect costs, 1.5% (mean = USD 3.5; median = USD 1.9). Costs were significantly higher for patients with advanced age, high literacy, higher household incomes, duration of diabetes, more than one complication, and using combination therapy. CONCLUSIONS: The economic burden of T2DM in Pakistan is substantial, with medication costs being the largest component. Effective management strategies and policy interventions are crucial to mitigate this burden and improve the economic and health outcomes for diabetic patients.

Evaluating Neural Radiance Fields for 3D Plant Geometry Reconstruction in Field Conditions.

We evaluate different Neural Radiance Field (NeRF) techniques for the 3D reconstruction of plants in varied environments, from indoor settings to outdoor fields. Traditional methods usually fail to capture the complex geometric details of plants, which is crucial for phenotyping and breeding studies. We evaluate the reconstruction fidelity of NeRFs in 3 scenarios with increasing complexity and compare the results with the point cloud obtained using light detection and ranging as ground truth. In the most realistic field scenario, the NeRF models achieve a 74.6% F1 score after 30 min of training on the graphics processing unit, highlighting the efficacy of NeRFs for 3D reconstruction in challenging environments. Additionally, we propose an early stopping technique for NeRF training that almost halves the training time while achieving only a reduction of 7.4% in the average F1 score. This optimization process substantially enhances the speed and efficiency of 3D reconstruction using NeRFs. Our findings demonstrate the potential of NeRFs in detailed and realistic 3D plant reconstruction and suggest practical approaches for enhancing the speed and efficiency of NeRFs in the 3D reconstruction process.

Early and late blight disease identification in tomato plants using a neural network-based model to augmenting agricultural productivity.

Computer-advanced technologies have a significant impact across various fields. It is widely recognized that diseases have a detrimental effect on crop productivity and can significantly impact the economy, particularly in agricultural countries. Tomatoes hold great economic importance among cash crops, second only to potatoes. Globally, tomato production reaches a staggering 160 million tons annually, making it even more crucial for agricultural development. Unfortunately, the tomato crop is susceptible to several diseases, with early blight and late blight as two prominent culprits responsible for a production decrease of around 79%. Traditional disease detection and identification methods are time-consuming, expensive, and destructive, often requiring pathologists' expertise. Thus, the primary research objective is to enhance disease identification accuracy by leveraging deep learning techniques. A model based on the inception-V3 architecture has been devised to classify diseases affecting tomato plant leaves. The model was trained and tested using the PlantVillage dataset, which comprises 6000 sample images of tomato leaves. The training and testing process utilized an 80 : 20 ratio, resulting in an impressive classification accuracy of 97.44% for the proposed model. The proposed solution aims to enable the tomato industry to thrive in the global market by mitigating the impact of tomato leaf diseases. By reducing the prevalence of these diseases, the solution can increase demand and contribute to the industry's growth.

Work-related neck pain and its association with postural and ergonomic factors among Pakistani professional drivers.

BACKGROUND: Professional drivers are most likely to experience work-related neck pain due to awkward sitting positions for extended periods of time. Globally, millions of people depend on drivers who dedicate their lives to the craft. However, there is a paucity of data available on professional drivers suffering from neck pain or other musculoskeletal pain in Pakistan. OBJECTIVE: To investigate the prevalence of neck pain and its association with postural and ergonomic factors among Pakistani professional drivers. METHODS: This was a cross-sectional study conducted from January to June 2022 among 369 professional drivers located in Faisalabad, Pakistan. The data were collected by using a questionnaire comprising different sections, including personal, postural and ergonomic factors among drivers. The Statistical Package for the Social Sciences (SPSS) 25 was used for data entry and analysis. RESULTS: The mean age of the participants was 40.83±9.27 years. Among the 369 participants, 129 reported neck pain. The period and point prevalence of neck pain were 35% (n = 129) and 31% (n = 115), respectively. Professional drivers reported a significant association between habitual forward posture and head-neck posture (p = 0.000) and between habitual forward posture and trunk posture (p = 0.000) with neck pain. In addition, ergonomics training (p = 0.002), ergonomics awareness (p = 0.002), and mobile use while driving (p = 0.000) were significantly associated with neck pain. CONCLUSION: This study revealed that drivers have greater period prevalence of neck pain than point prevalence. Moreover, this study revealed that age, BMI, lifestyle, health status, medication use, and smoking habits were associated with neck pain in drivers. Drivers who had ergonomic training and awareness were significantly less likely to suffer from lower neck pain. Drivers with a habitual forward posture are more likely to suffer from neck pain than are drivers with a prone posture.

A review on synthesis of MOF-derived carbon composites: innovations in electrochemical, environmental and electrocatalytic technologies.

Carbon composites derived from Metal-Organic Frameworks (MOFs) have shown great promise as multipurpose materials for a range of electrochemical and environmental applications. Since carbon-based nanomaterials exhibit intriguing features, they have been widely exploited as catalysts or catalysts supports in the chemical industry or for energy or environmental applications. To improve the catalytic performance of carbon-based materials, high surface areas, variable porosity, and functionalization are thought to be essential. This study offers a thorough summary of the most recent developments in MOF-derived carbon composite synthesis techniques, emphasizing innovative approaches that improve the structural and functional characteristics of the materials. Their uses in electrochemical technologies, such as energy conversion and storage, and their function in environmental electrocatalysis for water splitting and pollutant degradation are also included in the debate. This review seeks to clarify the revolutionary effect of carbon composites formed from MOFs on sustainable technology solutions by analyzing current research trends and innovations, opening the door for further advancements in this rapidly evolving sector.

Transgenic cotton expressing Allium sativum leaf agglutinin exhibits resistance to whiteflies and aphids without negative effects on ladybugs.

Cotton (Gossypium hirsutum L.) is of great economic importance as a cultivated crop in many parts of the world. In addition to being a pillar of the textile industry, cotton and its byproducts are used for livestock feed, seed oil, and other products. Bacillus thuringiensis crystal toxin (Bt) expression in cotton provides effective protection against chewing insects but does not defend plants from piercing/sucking insect pests. With the aim to create transgenic plants with resistance against piercing/sucking pests, we used Agrobacterium-mediated genetic transformation of cotton cultivar Coker 312 to express the Allium sativum leaf agglutinin (ASLA) gene from the phloem-specific rolC promoter. The ASLA transgene was stably inherited and showed Mendelian segregation in the T1 generation. Transgenic lines, expressing the ASLA gene, showed explicit resistance against major sap-sucking pests. Green peach aphid (Myzus persicae Sulzer) choice assays showed that 75% of aphids preferred untransformed cotton plants relative to those expressing the ASLA gene. In detached leaf bioassays, plants expressing ASLA caused 82% aphid mortality and 44-53% reduction in fecundity. Clip cage bioassays with whiteflies (Bemisia tabaci Gennadius) showed 74-82% mortality and 44-60% decrease in fecundity due to ASLA gene expression. In whole plant bioassays, whiteflies showed 77% mortality and a 54% decrease in fecundity on ASLA transgenics. Importantly, we did not observe a negative effect of the ASLA gene on ladybugs (Coccinella septempunctata) that consumed these whiteflies. Together, our findings demonstrate the potential of ASLA-transgenic cotton for providing protection against two devastating insect pests, whiteflies and aphids. The ASLA-transgenic cotton appears promising for direct commercial cultivation besides serving as a potential genetic resource in recombination breeding.

Unveiling peripheral symmetric acceptors coupling with tetrathienylbenzene core to promote electron transfer dynamics in organic photovoltaics.

Non-fullerene organic compounds are promising materials for advanced photovoltaic devices. The photovoltaic and electronic properties of the derivatives (TTBR and TTB1-TTB6) were determined by employing density functional theory (DFT) and time-dependent density functional theory (TD-DFT) analyses using the M06/6-311G(d,p) functional. To enhance the effectiveness of fullerene-free organic photovoltaic cells, modifications were applied to end-capped acceptors by using strong electron-withdrawing moieties. The structural tailoring showed a significant electronic impact for HOMO and LUMO for all chromophores, resulting in decreased band gaps (3.184-2.540 eV). Interestingly, all the designed derivatives exhibited broader absorption spectra in the range of 486.365-605.895 nm in dichloromethane solvent. Among all derivatives, TTB5 was observed to be the promising candidate because of its lowest energy gap (2.54 eV) and binding energy (0.494 eV) values, along with the bathochromic shift (605.895 nm). These chromophores having an A-π-A framework might be considered promising materials for efficient organic cells.