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In order to enhance the overall efficiency of colloidal quantum dots solar cells, it is crucial to suppress the recombination of charge carriers and minimize energy loss at the interfaces between the transparent electrode, electron transport layer (ETL), and colloidal quantum dots (CQDs) light-absorbing material. In the current study, ZnO/SrTiO3 (STO), ZnO/WO3 (TO), and ZnO/Zn2SnO4 (ZTO) bilayers are introduced as an ETL using a spin-coating technique. The ZTO interlayer exhibits a smoother surface with a root-mean-square (RMS) value of ≈ 3.28 nm compared to STO and TO interlayers, which enables it to cover the surface of the ITO/ZnO substrate entirely and helps to prevent direct contact between the CQDs absorber layer and the ITO/ZnO substrate, thereby effectively preventing efficient charge recombination at the interfaces of the ETL/CQDs. Furthermore, the ZTO interlayer possesses superior electron mobility, a higher visible light transmission, and a suitable energy band structure compared to STO and TO. These characteristics are advantageous for extracting charge carriers and facilitating electron transport. The PbS CQDs solar cell based on the ITO/ZnO/ZTO/PbS-FABr/PbS-EDT/NiO/Au device configuration exhibits the highest efficiency of 15.28%, which is significantly superior than the ITO/ZnO/PbS-FABr/PbS-EDT/NiO/Au solar cell device (PCE = 14.38%). This study is anticipated to offer a practical approach to develop ultrathin and compact ETL for highly efficient CQDSCs.

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Schwannomas, originating from the Schwann sheath of peripheral or cranial nerves, are rare tumors commonly found in the head and neck or extremities. Adrenal schwannomas, however, are exceedingly rare, accounting for less than 1% of all adrenal tumors. Here, we present a case of a 31-year-old Caucasian woman diagnosed with an adrenal schwannoma, which was incidentally discovered during imaging studies for an unrelated issue. Following laparoscopic adrenalectomy, the patient developed chylous ascites (CA) and coexistent chylothorax, posing a diagnostic challenge and necessitating a multidisciplinary approach to management.

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In our continuous efforts to find out leads against the enzyme 15-lipoxygenase (15-LOX), the current study deals with the synthesis of a series of new N-alkyl/aralkyl/aryl derivatives of 2-(4-ethyl-5-(1-phenylcarbamoyl)piperidine-4H-1,2,4-triazol-3-ylthio)methylacetamide (7a-n) with anti-LOX activities. The synthesis was started by reacting phenylisocyanate with isonipecotate that sequentially converted into N-substituted ester (1), hydrazide (2), semicarbazide (3) and N-ethylated 5-(1-phenylcarbamoyl)piperidine-1,2,4-triazole (4). The final compounds, 7a-n, were obtained by reacting 4 with various N-alkyl/aralkyl/aryl electrophiles. Both the intermediates and target compounds were characterized by FTIR, 1H, 13C NMR spectroscopy, EI-MS and HR-EI-MS spectrometry and screened against soybean 15-LOX by chemiluminescence method. The eight compounds 7e, 7j, 7h, 7a, 7g, 7b, 7n, 7c showed potent inhibitory activities against 15-LOX with values ranging from IC50 0.36 ± 0.15 µM (7e) to IC50 6.75 ± 0.17 µM (7c) compared with the reference quercetin (IC50 4.86 ± 0.14 µM) and baicalein (IC50 2.24 ± 0.13 µM). Two analogues (7l, 7f) had significantly outstanding inhibitory potential with IC50 values 12.15 ± 0.23 µM and 15.54 ± 0.26 µM, whereas, the derivatives 7i, and 7d displayed IC50 values of 21.56 ± 0.27 µM, 23.59 ± 0.24 µM and the compounds 7k, 7m were found inactive. All analogues exhibited blood mononuclear cells (MNCs) viability >75 % at 0.25 mM concentration as determined by MTT method. Calculated pharmacokinetic properties projected good lipophilicity, bioavailability and drug-likeness properties and did not violate Lipinski's/Veber rule. Molecular docking studies revealed lower binding free energies of all the derivatives than the reference compounds. The binding free energies were -9.8 kcal/mol, -9.70 k/mol and -9.20 kcal/mol for 7j, 7h and 7e, respectively, compared with the standard quercetin (-8.47 kcal/mol) and baicalein (-8.98 kcal/mol). The docked ligands formed hydrogen bonds with the amino acid residues Gln598 (7e), Arg260, Val 126 (7h), Gln762, Gln574, Thr443, Arg580 (7j) while other hydrophobic interactions observed therein further stabilized the complexes. The results of density functional theory (DFT) revealed that analogues with more stabilized lower unoccupied molecular orbital (LUMO) had significant enzyme inhibitory activity. The data collectively supports these molecules as leads against 15-LOX and demand further investigations as anti-inflammatory agents.

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Optimal resource allocation is crucial for 5G and beyond networks, especially when connecting numerous IoT devices. In this paper, user clustering and power allocation challenges in the downlink of a multi-carrier NOMA system are investigated, with sum rate as the optimization objective. The paper presents an iterative optimization process, starting with user clustering followed by power allocation of the users. Although the simultaneous transmission for multiple users achieves high system throughput in NOMA, it leads to more energy consumption, which is limited by the battery capacity of IoT devices. Enhancing energy efficiency by considering the QoS requirement is a primary challenge in NOMA-enabled IoT devices. Currently, fixed user clustering techniques are proposed without considering the diversity and heterogeneity of channels, leading to poor throughput performance. The proposed user clustering technique is based on the partial brute force search (P-BFS) method, which reduces complexity compared to the traditional exhaustive search method. After the user clustering, we performed optimal power allocation using the Lagrangian multiplier method with Karush-Kuhn-Tucker (KKT) optimal conditions for each user assigned to a subchannel in each cluster. Lastly, a deep neural network (DNN) based proposed P-BFS scheme is used to reduce resource allocation's complexity further. The simulation results show a significant improvement in the sum rate of the network.

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Wheat bran is a significant byproduct of wheat flour milling and is enriched with dietary fiber. Arabinoxylan (AX), the major constituent of dietary fiber, plays a crucial role in the nutrition and processing of cereal food. This review comprehensively focuses on AX as a functional additive, specifically addressing its fractionation methods, structural characteristics, techno-functionality, and interactions with dough components. Structural features such as molecular weight (Mw), branching degree, and ferulic acid (FA) content significantly influence the functionality of AX, affecting gluten protein and starch characteristics during cereal food processing. Specifically, studies have shown that AX with optimum Mw and FA levels improved dough rheology and gas retention during bread-making. Furthermore, the solubility of AX varies across wheat bran fractions, with soluble AX fractions demonstrating notable dough-improving properties. By integrating structural complexity with functional properties, this review highlights the promising applications of wheat bran AX as a sustainable, functional dough additive.

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Leveraging blackcurrant anthocyanin (BC) as an indicator and carboxymethyl cellulose (CMC), gum xanthan (GX), and citric acid (CA) as film fabricating materials, an innovative amine-responsive beef freshness intelligent film, known as CGC-BC, was successfully created. It was found that the physical characteristics, sensitivity to the biogenic amine reaction, and original color of the film were all highly influenced by the pH of the film-forming solutions. The film's freshness monitoring ability was assessed at 4, 25, and 35 °C, and various color changes were employed to monitor beef deterioration. ΔE values and the visual color difference of the low-concentration (SCG-BC-0.08 and SCG-BC-0.16) ammonia-sensitive indicator films demonstrated significant color changes than the high-concentration (SCG-BC-0.24 and SCG-BC-0.32) films. The films biodegradation (37.16 to 51.49%) ability was enhanced with increase in the proportions of BC. As the TVB-N and pH values of beef increased with the different temperatures and time and different color changes were observed from red to pink, black to brown, and yellow.

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Betaine supplementation in dairy cattle has gained attention due to its potential benefits to production and health as a methyl donor, which can play a crucial role in the metabolism of dairy cows. The objective of the current meta-analysis was to quantify the effects of betaine supplementation on milk production, composition, ß-hydroxybutyric acid (BHBA), and non-esterified fatty acids (NEFA). A systematic literature search was carried out, all relevant studies were retrieved, and the meta-analysis was carried out. The mean difference (MD) for dry matter intake (DMI) using the random-effects model was 0.499 kg/d (P < 0.0001). The subgroup analysis indicated that supplementing betaine in heat-stressed cows increased DMI by 0.584 kg/d (P < 0.001), while in cows not exposed to heat stress, DMI was increased by 0.381 kg/d (P = 0.007). The energy-corrected milk (ECM) increased by 1.36 kg/d (P < 0.0001). The milk fat yield was significantly increased in betaine-supplemented cows (MD = 0.040 kg/d, 95% CI = 0.015 to 0.065). The milk protein yield (kg/d) (MD = 0.014, P = 0.138) was increased (MD = 0.035, P = 0.0005) by betaine supplementation. The lactose yield (kg/d) was also significantly higher (MD = 0.055, P = 0.020) in betaine-supplemented cows. The standardized mean difference (SMD) for NEFA (SMD = - 0.447, 95% CI = - 1.029 to 0.135, P = 0.114) and BHBA (SMD = - 0.130, 95% CI = - 0.491 to 0.234). In conclusion, the findings from this meta-analysis suggest that betaine supplementation positively influences DMI, ECM, milk fat yield, milk lactose yield, and milk protein yield. Subgroup analysis further indicated that the positive effects on DMI are greater in heat-stressed cows compared to those not exposed to heat stress. The analysis did not find significant effects on the levels of NEFA or BHBA, suggesting that betaine supplementation may not directly influence these metabolic parameters.

The aim of this meta-analysis was to examine the effects of dietary betaine supplementation on dairy cows' dry matter intake, milk production, milk composition, non-esterified fatty acids, and ß-hydroxybutyric acid. The results indicated that the supplementation of betaine increased dry matter intake (+0.584 kg/d/cow), energy-corrected milk (+1.36 kg/d), milk fat yield (+ 0.040 kg/d), milk protein yield (+ 0.014 kg/d), and lactose yield (+ 0.055 kg/d). ß-Hydroxybutyric acid and plasma non-esterified fatty acids were not influenced by betaine supplementation in dairy cattle.

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Heart failure continues to pose a significant burden in terms of morbidity, mortality, and healthcare costs worldwide despite the implementation of guideline-directed medical therapy. Addressing this challenge and improving clinical outcomes for this patient population remains an urgent priority. Recognizing the limitations in current medical approaches and exploring strategies to overcome these limitations are crucial steps toward improving future outcomes. Various device-based interventions, such as Cardiac Resynchronization Therapy devices and Left Ventricular Assist Devices, have demonstrated notable benefits for individuals with heart failure. Our review is aimed at summarizing the ongoing research into new device therapies for heart failure, emphasizing their potential to overcome the current challenges in treatment. By utilizing Clinicaltrials.gov, an online repository, we conducted a comprehensive search for trials investigating emerging device therapies for patients dealing with heart failure.

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Advances in general-purpose computers have enabled the generation of high-quality synthetic medical images that human eyes cannot differ between real and AI-generated images. To analyse the efficacy of the generated medical images, this study proposed a modified VGG16-based algorithm to recognise AI-generated medical images. Initially, 10,000 synthetic medical skin lesion images were generated using a Generative Adversarial Network (GAN), providing a set of images for comparison to real images. Then, an enhanced VGG16-based algorithm has been developed to classify real images vs AI-generated images. Following hyperparameters tuning and training, the optimal approach can classify the images with 99.82% accuracy. Multiple other evaluations have been used to evaluate the efficacy of the proposed network. The complete dataset used in this study is available online to the research community for future research.

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Chest pain is a common and complex symptom that can arise from various etiologies, ranging from benign musculoskeletal conditions to life-threatening cardiovascular events. It is a hallmark symptom of myocardial infarction, angina, and other ischemic heart diseases, necessitating prompt and thorough evaluation. Ongoing chest pain post-procedures and medication administration presents a diagnostic challenge, as it may be indicative of an exacerbation of underlying conditions. We present the case of a 64-year-old Caucasian male who initially presented with severe and persistent chest pain suggestive of an anterior wall ST-elevation myocardial infarction (STEMI). He had a history of coronary artery disease and had recently undergone cardiac catheterization. Despite prompt administration of nitroglycerin and aspirin, the patient's symptoms persisted, prompting emergent percutaneous coronary intervention (PCI). Subsequent to PCI, ongoing chest discomfort persisted, prompting further investigation, which revealed a concurrent lung mass and nodules on imaging. Additional interventions, including repeated PCI procedures and thoracentesis, were undertaken. Unfortunately, the patient's clinical course rapidly deteriorated, culminating in cardiac arrest and unsuccessful resuscitative efforts. This case highlights the complexities inherent in managing intricate cardiovascular conditions and emphasizes the critical importance of maintaining vigilance for concomitant pathologies.

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The congenital anomalous origin of the right coronary artery (AORCA) with an incongruous course is a rare malformation that can manifest as exertional chest pain, syncope, arrhythmias, heart failure, and sudden cardiac death. We present a case of a 42-year-old male with a history of hypercholesterolemia who presented with chest pain and dizziness upon exertion for two weeks. The physical examination was unremarkable, and the patient was hemodynamically stable. Initial blood tests were normal. Electrocardiogram (ECG) showed sinus bradycardia at 56 bpm without ST or T wave changes. A cardiac stress test indicated antero-apical inducible ischemia with a moderate probability of stress-induced ischemia. Computed tomography angiography (CTA) revealed an AORCA with a high interarterial course between the pulmonary artery and the aorta. Subsequent left heart catheterization confirmed the anomalous origin and revealed atherosclerotic disease. This anomaly was identified as the cause of the patient's symptoms due to the compression of the right coronary artery (RCA). The patient was treated with aspirin and statin and underwent successful internal mammary artery-RCA bypass grafting. Postoperatively, the patient's symptoms resolved, and there were no further episodes of chest pain.

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BACKGROUND: Anemia in females of the reproductive age group is an area of concern globally, but its prevalence is high in developing countries. Dietary habits and lifestyle impact the hematological parameters. It is important to evaluate the impact of tea drinking on hematological parameters in females of the reproductive age group. OBJECTIVE: The study aims to determine the association of tea drinking with anemia among women of reproductive age (WRA) in the Mekran division of Balochistan. METHODS: A cross-sectional observational study was conducted at Mekran Medical College (MMC), a teaching hospital in Turbat, Balochistan, by the Department of Obstetrics and Gynecology from December 2023 to May 2024. Using a non-probability convenience sampling technique, a total of 356 females, 16-35 years of age, were included in the study after getting informed consent. Pregnant females and those who were using any medication for anemia were excluded from the study. Blood samples were analyzed using a CBC hematology analyzer. Data were analyzed using SPSS 26 by applying an independent sample t-test and chi-square test. RESULTS: Among all 356 included participants, 193 females were anemic. Among the tea drinkers (n = 266), 159 participants were mild to severely anemic. While among non-tea-drinking women (n = 90), only 34 participants were mild or moderately anemic with no severe anemia. A significant association was found between tea drinking and anemia among WRA (p < 0.05). A significant mean difference was found in the hemoglobin (Hb), mean corpuscular volume (MCV), and mean corpuscular hemoglobin (MCH) levels among the tea-drinker and non-tea-drinker participants (p < 0.05). CONCLUSION: The WRA group from the Mekran region is suffering from anemia. Women who drink tea suffer more from anemia. Effective healthcare strategies should be implemented to address the issue of anemia among WRA.

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Due to antimicrobial drug resistance, there is a growing interest in the development of light based alternative antibacterial therapies. This research work is focused on the inactivation of Escherichia coli (E. coli) by exploiting the absorption bands 405, 505, 542, 580 and 631 nm of its indigenously produced Protoporphyrin IX (PpIX) excited by three LEDs with broad emission bands at 418, 522 and 630 nm and two laser diodes with narrow emission bands at 405 and 635 nm. Fluorescence spectroscopy and plate count method have been employed for studying the inactivation rate of E. coli strain in autoclaved water suspension. It has been found that LEDs at 418, 522 and 630 nm produced pronounced antimicrobial photodynamic effect on E. coli strain comparing laser diodes at 405 and 635 nm, which might be attributed to the overlapping of broad emission bands of LEDs with the absorption bands of PpIX than narrow emission bands of laser diodes. Particular effect of LED at 522 nm has been noticed because its broad emission band overlaps three absorption bands 505, 542 and 580 nm of PpIX. The gold standard plate count method strongly correlates with Fluorescence spectroscopy, making it an innovative tool to administer bacterial inactivation. The experimental results suggested the development of a light source that entirely overlap absorption bands of PpIx to produce a pronounced antimicrobial photodynamic effect, which might become an effective modality for in vivo disinfection of antibiotic resistant microbes in wounds and lesions.

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Disruption of the gut microbiota causes metabolic dysfunction, and intervention in the gut microbiota has the potential to improve host glucose metabolism. Akkermanisa muciniphila is an intestinal bacterium involved in anti-obesity and insulin resistance. Developing interventions to increase A. muciniphla would be useful for new treatment strategies. In this study, we screened herbal drug extracts that promoted the growth of A. muciniphila. Among the 123 herbal drugs, five herbal drug extracts significantly increased A. muciniphila DNA levels compared with that in controls. In particular, Dioscoreae rhizoma extract increased the growth of A. muciniphila in the intestines of mice fed a high-fat diet and improved obesity. It significantly reduced body weight gain, improved glucose tolerance even when the administration was initiated after the induction of dietary obesity. These results suggest that herbal drug extracts, such as Dioscoreae rhizome, that increase A. muciniphila could be a new therapeutic strategy for metabolic syndrome. Supplementary Information: The online version contains supplementary material available at 10.1007/s13340-024-00713-w.

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Isoflavones, a class of substances with high biological activity, are abundant in soybeans. This study investigated isoflavone biosynthesis in soybean cell suspension cultures under UV-B radiation. UV-B radiation enhanced the transcription level and activity of key enzymes involved in isoflavone synthesis in cell suspension cultures. As a result, the isoflavone contents significantly increased by 19.80% and 91.21% in hypocotyl and cotyledon suspension cultures compared with the control, respectively. Meanwhile, a significant difference was observed in the composition of isoflavones between soybean hypocotyl and cotyledon suspension cultures. Genistin was only detected in hypocotyl suspension cultures, whereas glycitin, daidzein, and genistein accumulated in cotyledon suspension cultures. Therefore, UV-B radiation exhibited tissue-specific regulation of isoflavone biosynthesis in soybean cell suspension cultures. The combination of suspension cultures and abiotic stress provides a novel technological approach to isoflavone accumulation.

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In recent years, e-commerce platforms have become popular and transformed the way people buy and sell goods. People are rapidly adopting Internet shopping due to the convenience of purchasing from the comfort of their homes. Online review sites allow customers to share their thoughts on products and services. Customers and businesses increasingly rely on online reviews to assess and improve the quality of products. Existing literature uses natural language processing (NLP) to analyze customer reviews for different applications. Due to the growing importance of NLP for online customer reviews, this study attempts to provide a taxonomy of NLP applications based on existing literature. This study also examined emerging methods, data sources, and research challenges by reviewing 154 publications from 2013 to 2023 that explore state-of-the-art approaches for diverse applications. Based on existing research, the taxonomy of applications divides literature into five categories: sentiment analysis and opinion mining, review analysis and management, customer experience and satisfaction, user profiling, and marketing and reputation management. It is interesting to note that the majority of existing research relies on Amazon user reviews. Additionally, recent research has encouraged the use of advanced techniques like bidirectional encoder representations from transformers (BERT), long short-term memory (LSTM), and ensemble classifiers. The rising number of articles published each year indicates increasing interest of researchers and continued growth. This survey also addresses open issues, providing future directions in analyzing online customer reviews.

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This paper presents a novel approach to enhance the accuracy of patch-level Gleason grading in prostate histopathology images, a critical task in the diagnosis and prognosis of prostate cancer. This study shows that the Gleason grading accuracy can be improved by addressing the prevalent issue of label inconsistencies in the SICAPv2 prostate dataset, which employs a majority voting scheme for patch-level labels. We propose a multi-label ensemble deep-learning classifier that effectively mitigates these inconsistencies and yields more accurate results than the state-of-the-art works. Specifically, our approach leverages the strengths of three different one-vs-all deep learning models in an ensemble to learn diverse features from the histopathology images to individually indicate the presence of one or more Gleason grades (G3, G4, and G5) in each patch. These deep learning models have been trained using transfer learning to fine-tune a variant of the ResNet18 CNN classifier chosen after an extensive ablation study. Experimental results demonstrate that our multi-label ensemble classifier significantly outperforms traditional single-label classifiers reported in the literature by at least 14% and 4% on accuracy and f1-score metrics respectively. These results underscore the potential of our proposed machine learning approach to improve the accuracy and consistency of prostate cancer grading.

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Gray mold disease, caused by Botrytis cinerea is a major postharvest disease impacting fruits such as strawberries and tomatoes. This study explores the use of volatile organic compounds (VOCs) produced by Bacillus spp. as eco-friendly biocontrol agents against B. cinerea. In vitro experiments demonstrated that VOCs from Bacillus sp. LNXM12, B. thuringiensis GBAC46, and B. zhanghouensis LLTC93-VOCs inhibited fungal growth by 61.2%, 40.5%, and 21.6%, respectively, compared to the control. LNXM12 was selected for further experiments due to its highest control efficacy of 58.3% and 76.6% on tomato and strawberry fruits, respectively. The LNXM12 VOCs were identified through gas chromatography-mass spectrometry (GC-MS) analysis, and 22 VOCs were identified. Synthetic VOCs with the highest probability percentage, namely ethyloctynol, 3-methyl-2-pentanone (3M2P), 1,3-butadiene-N, N-dimethylformamide (DMF), and squalene were used in experiments. The results showed that the synthetic VOCs ethyloctynol and 3M2P were highly effective, with an inhibition rate of 56.8 and 57.1% against fungal mycelium radial growth at 120 µg/mL on agar plates. Trypan blue staining revealed strongly disrupted, deeper blue, and lysed mycelium in VOC-treated B. cinerea. The scanning and transmission electron microscope (SEM and TEM) results showed that fungal mycelium was smaller, irregular, and shrunken after synthetic VOC treatments. Furthermore, the synthetic VOCs Ethyloctynol and 3M2P revealed high control efficacy on tomatoes and strawberries infected by B. cinerea. The control efficacy on leaves was 67.2%, 66.1% and 64.5%, 78.4% respectively. Similarly, the control efficiency on fruits was 45.5%, 67.3% and 46.3% 65.1%. The expression of virulence genes in B. cinerea was analyzed, and the results revealed that selected genes BcSpl1, BcXyn11A, BcPG2, BcNoxB, BcNoxR, and BcPG1 were downregulated after VOCs treatment. The overall result revealed novel mechanisms by which Bacillus sp. volatiles control postharvest gray mold disease.

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We report on the supercapacitive swing adsorption (SSA) of carbon dioxide at different voltage windows in the presence of oxygen using activated carbon electrodes, and deliquescent, aqueous electrolytes. The presence of O2 in the CO2/N2 gas mixture results in an up to 11 times higher CO2 adsorption capacity with 3 M MgBr2 (at 0.6 V) and up to 4-5 times higher adsorption capacity with 3 M MgCl2 (at 1 V). A tradeoff between high CO2 adsorption capacities and lower coulombic efficiencies was observed at voltages above 0.6 V. The energetic and adsorptive performance of the electrodes in the presence of oxygen below 0.5 V was similar to the performance with a CO2/N2 mixture without oxygen at 1 V. Cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) of the electrodes demonstrate that the specific capacitance increases while the diffusion resistance decreases in the presence of oxygen. Oxygen concentrations ranging between 5-20 % give similar energetic and adsorptive performance. The electrodes exhibit stable performance for up to 100 cycles of operation.