Miracle-dz/UniFAR-FTUs huggingface dataset:
Transcriptomic Profiling of Tomato Leaves Identifies Novel Transcription Factors Responding to Dehydration Stress

Drought is among the most challenging environmental restrictions to tomatoes (Solanum lycopersi-cum), which causes dehydration of the tissues and results in massive loss of yield. Breeding for dehydration-tolerant tomatoes is a pressing issue as a result of global climate change that leads to increased duration and frequency of droughts. However, the key genes involved in dehydration response and tolerance in tomato are not widely known, and genes that can be targeted for dehydration-tolerant tomato breeding remains to be discovered. Here, we compared phenotypes and transcriptomic profiles of tomato leaves between control and dehydration conditions. We show that dehydration decreased the relative water content of tomato leaves after 2 h of dehydration treatment; however, it promoted the malondialdehyde (MDA) content and ion leakage ratio after 4 h and 12 h of dehydration, respectively. Moreover, dehydration stress triggered oxidative stress as we detected significant increases in H2O2 and O2− levels. Simultaneously, dehydration enhanced the activities of antioxidant enzymes including peroxidase (POD), superoxide dismutase (SOD), catalase (CAT), and phenylalanine ammonia-lyase (PAL). Genome-wide RNA sequencing of tomato leaves treated with or without dehydration (control) identified 8116 and 5670 differentially expressed genes (DEGs) after 2 h and 4 h of dehydration, respectively. These DEGs included genes involved in translation, photosynthesis, stress response, and cytoplasmic translation. We then focused specifically on DEGs annotated as transcription factors (TFs). RNA-seq analysis identified 742 TFs as DEGs by comparing samples dehydrated for 2 h with 0 h control, while among all the DEGs detected after 4 h of dehydration, only 499 of them were TFs. Furthermore, we performed real-time quantitative PCR analyses and validated expression patterns of 31 differentially expressed TFs of NAC, AP2/ERF, MYB, bHLH, bZIP, WRKY, and HB families. In addition, the transcriptomic data revealed that expression levels of six drought-responsive marker genes were upregulated by de-hydration treatment. Collectively, our findings not only provide a solid foundation for further functional characterization of dehydration-responsive TFs in tomatoes but may also benefit the improvement of dehydration/drought tolerance in tomatoes in the future.
Inhibition of MAOB Ameliorated High-Fat-Diet-Induced Atherosclerosis by Inhibiting Endothelial Dysfunction and Modulating Gut Microbiota

In this study, monoamine oxidase B (MAOB) was activated under pathological conditions, and was the novel source of cardiovascular reactive oxygen species (ROS). ROS-induced endothelial dysfunction results in sustained and chronic vascular inflammation, which is central to atherosclerotic diseases. However, whether MAOB regulates endothelial oxidative stress and its related mechanism and whether gut microbiota mediates the anti-atherosclerosis effect of MAOB inhibitor remains unclear. In our study, MAOB expressions were elevated in high-fat diet (HFD) fed mice aortas, but only in vascular endothelial cells (not in smooth muscle cells). MAOB small interfering RNA significantly attenuated the palmitic-acid (PA)-induced endothelial oxidative stress and dysfunction. Furthermore, RNA-sequencing data revealed that MAOB knockdown decreased the levels of proinflammatory and apoptotic gene induced by PA. Microarray analysis and qPCR assay showed that miR-3620-5p was significantly decreased under the HFD condition. The dual-luciferase reporter, Western blot and qPCR assay confirmed that miR-3620-5p directly regulated MAOB by binding to its mRNA 3′UTR. Moreover, inhibition of MAOB by selegiline significantly ameliorated endothelial dysfunction and reduced atherosclerotic burden in HFD-fed ApoE−/− mice. Finally, 16S rRNA sequencing showed that selegiline significantly altered the community compositional structure of gut microbiota. Specifically, selegiline treatment enriched the abundance of Faecalibaculum and Akkermansia, decreased the abundance of unclassified_f__Lachnospiraceae, Desulfovibrio, and Blautia, and these genera were significantly correlated with the serum biochemical indices. Taken together, our findings showed that MAOB controlled endothelial oxidative stress homeostasis, and revealed the anti-atherosclerotic effect of selegiline by ameliorating endothelial dysfunction and modulating the composition and function of gut microbiota.
The Impact of Infant Feeding Regimen on Cow’s Milk Protein Allergy, Atopic Dermatitis and Growth in High-Risk Infants during the First 6 Months of Life: The Allergy Reduction Trial

The development of early-onset cow’s milk protein allergy and atopic dermatitis during the first months of life is multifactorial, including both genetic and nutritional aspects. This study aims to assess the impact of different feeding patterns on the incidence of cow’s milk protein allergy, atopic dermatitis, and growth among infants with a family history of allergy. A total of 551 high-risk infants were randomly recruited from 3 European countries in three feeding regimens: exclusive breastfeeding, partially hydrolyzed formula, or standard formula with intact protein either exclusively or supplementary to breastfeeding. During the first 6 months of intervention, amongst infants with a family history of atopic dermatitis, 6.5% of partially hydrolyzed formula-fed infants and 22.7% of exclusively breastfed infants (p = 0.007) presented with atopic dermatitis respectively. Growth as assessed by weight increase did not differ between the aforementioned groups. Although cow’s milk protein allergy was not related to the different milk feeding regimens in the whole cohort, when adjusting for high breast milk intake, the respective incident was significantly lower in the infants consuming partially hydrolyzed formula (p < 0.001). This data indicates that a specific partially hydrolyzed formula could serve as a more appropriate complement to breast milk compared to a standard intact protein formula in high-risk infants, to reduce the incidence of atopic dermatitis.
Synthesis and Characterization of a New Alginate/Carrageenan Crosslinked Biopolymer and Study of the Antibacterial, Antioxidant, and Anticancer Performance of Its Mn(II), Fe(III), Ni(II), and Cu(II) Polymeric Complexes

Natural polysaccharides are essential to a wide range of fields, including medicine, food, and cosmetics, for their various physiochemical and biological properties. However, they still have adverse effects limiting their further applications. Consequently, possible structural modifications should be carried out on the polysaccharides for their valorization. Recently, polysaccharides complexed with metal ions have been reported to enhance their bioactivities. In this paper, we synthesized a new crosslinked biopolymer based on sodium alginate (AG) and carrageenan (CAR) polysaccharides. The biopolymer was then exploited to form complexes with different metal salts including MnCl2·4H2O, FeCl3·6H2O, NiCl2·6H2O, and CuCl2·2H2O. The four polymeric complexes were characterized by Fourier-transform infrared spectroscopy (FT-IR), elemental analysis, ultraviolet–visible spectroscopy (UV–Vis), magnetic susceptibility, molar conductivity methods, and thermogravimetric analysis. The X-ray crystal structure of the Mn(II) complex is tetrahedral and belongs to the monoclinic crystal system with the space group P121/n1. The Fe(III) complex is octahedral and crystal data fit with the cubic crystal system with the space group Pm-3m. The Ni(II) complex is tetrahedral and crystal data correspond to the cubic crystal arrangement with the space group Pm-3m. The data estimated for the Cu(II) polymeric complex revealed that it is tetrahedral and belongs to the cubic system with the space group Fm-3m. The antibacterial study showed significant activity of all the complexes against both Gram-positive bacteria (Staphylococcus aureus and Micrococcus luteus) and Gram-negative (Escherichia coli and Salmonella typhimurium) pathogenic strains. Similarly, the various complexes revealed an antifungal activity against Candida albicans. The Cu(II) polymeric complex recorded a higher antimicrobial activity with an inhibitory zone reaching 4.5 cm against Staphylococcus aureus bacteria and the best antifungal effect of 4 cm. Furthermore, higher antioxidant values of the four complexes were obtained with DPPH scavenging activity varying from 73 to 94%. The two more biologically effective complexes were then selected for the viability cell assessments and in vitro anticancer assays. The polymeric complexes revealed excellent cytocompatibility with normal human breast epithelial cells (MCF10A) and a high anticancer potential with human breast cancer cells (MCF-7) which increase significantly in a dose-dependent manner.
Obfuscated Memory Malware Detection in Resource-Constrained IoT Devices for Smart City Applications

Obfuscated Memory Malware (OMM) presents significant threats to interconnected systems, including smart city applications, for its ability to evade detection through concealment tactics. Existing OMM detection methods primarily focus on binary detection. Their multiclass versions consider a few families only and, thereby, fail to detect much existing and emerging malware. Moreover, their large memory size makes them unsuitable to be executed in resource-constrained embedded/IoT devices. To address this problem, in this paper, we propose a multiclass but lightweight malware detection method capable of identifying recent malware and is suitable to execute in embedded devices. For this, the method considers a hybrid model by combining the feature-learning capabilities of convolutional neural networks with the temporal modeling advantage of bidirectional long short-term memory. The proposed architecture exhibits compact size and fast processing speed, making it suitable for deployment in IoT devices that constitute the major components of smart city systems. Extensive experiments with the recent CIC-Malmem-2022 OMM dataset demonstrate that our method outperforms other machine learning-based models proposed in the literature in both detecting OMM and identifying specific attack types. Our proposed method thus offers a robust yet compact model executable in IoT devices for defending against obfuscated malware.
Stereo TV Improves Operator Performance Under Degraded Visibility Conditions

The research reported here was initially stimulated by a contradiction in the literature that suggested there was no significant performance advantage for manipulator operators employing stereo versus conventional TV systems, while typical direct-viewed results indicate that binocular performance is always superior to monocular performance in tasks requiring depth judgment or distance estimation. This paper presents an analysis of the inter-action of several important variables involved in visual display research, with particular reference to our own research comparing mono and stereo TV displays in simulated underwater environments. Three experiments were conducted in our lab to assess the impact of degraded visibility on remote manipulator operator performance using either mono or stereo TV. Subjects were required to perform tasks which differed markedly in the number and type of depth cues available. As predicted, the results indicate that stereo performance was superior to mono under most conditions tested; however, the amount of improvement was shown to be a complex function of visibility, task, and learning factors. Conclusions and recommendations for further research aimed at understanding the relative contributions of these and additional display factors are presented for discussion.
Salivary Biomarkers of Anti-Epileptic Drugs: A Narrative Review

Saliva is a biofluid that reflects general health and that can be collected in order to evaluate and determine various pathologies and treatments. Biomarker analysis through saliva sampling is an emerging method of accurately screening and diagnosing diseases. Anti-epileptic drugs (AEDs) are prescribed generally in seizure treatment. The dose–response relationship of AEDs is influenced by numerous factors and varies from patient to patient, hence the need for the careful supervision of drug intake. The therapeutic drug monitoring (TDM) of AEDs was traditionally performed through repeated blood withdrawals. Saliva sampling in order to determine and monitor AEDs is a novel, fast, low-cost and non-invasive approach. This narrative review focuses on the characteristics of various AEDs and the possibility of determining active plasma concentrations from saliva samples. Additionally, this study aims to highlight the significant correlations between AED blood, urine and oral fluid levels and the applicability of saliva TDM for AEDs. The study also focuses on emphasizing the applicability of saliva sampling for epileptic patients.
Sarcopenic Obesity Is a Risk Factor for Worse Oncological Long-Term Outcome in Locally Advanced Rectal Cancer Patients: A Retrospective Single-Center Cohort Study

Background: Malnutrition and skeletal muscle waste (sarcopenia) are known as predictive factors for a poor postoperative outcome. Paradoxically, obesity seems to be associated with a survival advantage in wasting diseases such as cancer. Thus, the interpretation of body composition indices and their impact on rectal cancer therapy has become more and more complex. The aim of this study was to evaluate body composition indices in locally advanced rectal cancer patients prior to therapy and their impact on short- and long-term outcomes. Methods: Between 2008 and 2018, 96 patients were included in this study. Pre-therapeutic CT scans were used to evaluate visceral and subcutaneous fat mass, as well as muscle mass. Body composition indices were compared to body mass index, morbidity, anastomotic leakage rate, local recurrency rate, and oncological long-term outcomes. Results: Increased visceral fat (p < 0.01), subcutaneous fat (p < 0.01), and total fat mass (p = 0.001) were associated with overweight. Skeletal muscle waste (sarcopenia) (p = 0.045), age (p = 0.004), comorbidities (p < 0.01), and sarcopenic obesity (p = 0.02) were significantly associated with increased overall morbidity. The anastomotic leakage rate was significantly influenced when comorbidities were present (p = 0.006). Patients with sarcopenic obesity showed significantly worse disease-free (p = 0.04) and overall survival (p = 0.0019). The local recurrency rate was not influenced by body composition indices. Conclusion: Muscle waste, older age, and comorbidities were demonstrated as strong risk factors for increased overall morbidity. Sarcopenic obesity was associated with worse DFS and OS. This study underlines the role of nutrition and appropriate physical activity prior to therapy.
The Role of Micronutrients in Human Papillomavirus Infection, Cervical Dysplasia, and Neoplasm

There is evidence that diet and nutrition are modifiable risk factors for several cancers. In recent years, attention paid to micronutrients in gynecology has increased, especially regarding Human papillomavirus (HPV) infection. We performed a review of the literature up until December 2022, aiming to clarify the effects of micronutrients, minerals, and vitamins on the history of HPV infection and the development of cervical cancer. We included studies having as their primary objective the evaluation of dietary supplements, in particular calcium; zinc; iron; selenium; carotenoids; and vitamins A, B12, C, D, E, and K. Different oligo-elements and micronutrients demonstrated a potential protective role against cervical cancer by intervening in different stages of the natural history of HPV infection, development of cervical dysplasia, and invasive disease. Healthcare providers should be aware of and incorporate the literature evidence in counseling, although the low quality of evidence provided by available studies recommends further well-designed investigations to give clear indications for clinical practice.
Prevalence of anemia and its associated factors among pregnant women in Ilala Municipality - Tanzania: Analytical cross-sectional study

Anaemia during pregnancy is still 1 of the leading causes of maternal and neonatal mortality in low and middle-income countries. Initiatives to address this need evidence on trends and their relevant factors, as they vary from 1 area to another. This study determined the prevalence of anemia and its associated factors among pregnant women in Ilala, Tanzania. This community-based, analytical cross-sectional study was conducted in April 2022 involving 367 randomly selected pregnant women. An interviewer-administered questionnaire and a HemoCue analyzer were used for data collection The data was described using descriptive statistics (frequency distributions, percentages, etc) and inferential statistics (Chi-square tests and logistic regression) were used to explore the associations between the study’s outcome and its explanatory variables, with a significance level of P < . 05. The mean age of participants was 26.2 (standard deviation = 5.2) years, 58.0% had a secondary education level, and 45.2 were prime-para. About half (57.2%) of all participants had low hemoglobin level, among which, 36.2% had moderate anemia. Having a primary education level (adjusted odds ratio [AOR] = 2.3, confidence interval [CI] = 1.1–4.7), having an inter-pregnancy interval of <18 months (AOR = 2.6, CI = 1.2–5.5), being in the third trimester (AOR = 2.4, CI = 1.2–4.7), not taking Intermittent Prophylaxis Treatment (AOR = 3.7, CI = 1.3–10), not taking iron supplement and folic acid (AOR = 3.7, CI = 1.3–10), and having a moderate appetite(AOR = 1.6, CI = 1.0–2.6) were predictors of anemia. Nutritionally related factors were not consuming on a daily basis dairy food (AOR = 3.7, CI = 1.4–9.3), meat/fish (AOR = 6.6, CI = 3–14), dark green and other vegetables (AOR = 6.6, CI = 3.1–14), fruits (AOR = 4.2, CI = 1.4–12) and having a lower dietary diversity score (AOR = 84, CI = 37–188). Approximately half of pregnant women in Ilala municipality were anemic with 1 third of them having moderate anemia. The associated factors varied from nutritional, obstetric, and socio-demographic factors. The targeted interventions should focus on health promotion campaign to sensitize the population on the dangers of anemia in pregnancy and preventive measures that must be adhered to.
A numerical study of three-dimensional orographic gravity-wave breaking observed in a hydraulic tank

Numerical simulations with a non-hydrostatic anelastic model are carried out to reproduce hydraulic tank experiments on stratified flow past a two-dimensional mountain ridge, for a Froude number of 0.6 and a Reynolds number of 200. The gravity wave thus generated steepens, overturns and breaks. Numerical simulations and experiments are directly compared showing close agreement. Ground friction is found to have a major influence. It induces a boundary-layer separation on the lee slope of the mountain and a low-level trapped lee wave inhibiting the downstream propagation of the breaking region above. Consequently, the three-dimensional vortices generated within the unstable two-dimensional overturning wave have a toroidal shape in agreement with experimental observations. Sensitivity to the shape of the initial three-dimensional perturbation is studied. In the case of harmonic disturbances, spectral analysis reveals that during the growth phase of the instability, harmonics are coherently produced by the nonlinear transverse advection term. During the later phase of quasi-steady turbulence, the vortices have a morphology that does not depend on the type of the initial perturbation.
Web architecture, behavior, and predatory potential of Larinia chloris from rice fields (Araneae: Araneidae)

Abstract Present study was carried out to investigate the variation in web architecture of Larinia chloris (Audouin 1826) in relation to seasonal differences and the biotic factors of the environment. In addition, relative abundance, behavior, and predatory potential of L. chloris were also recorded. For this purpose, 100 orb-webs of L. chloris were observed in rice fields (August–October, 2022) from 3 districts of Punjab (Lahore, Sheikhupura, and Kasur). Percent abundance of L. chloriswas found to be highest in rice fields from Barki road, Lahore (39.53%). All the webs of L. chloris were vertical at height equal to the height of vegetation (115.2 ± 9.7 cm). Time required to complete the web was 45 ± 5 min. There was positive correlation between web architecture and vegetation height. Web capture area and average mesh height of L. chloris also showed positive correlation with carapace length. There was a significant difference in various web parameters (number of spirals, number of radii, capture area, average mesh height, upper radii, lower radii, left radii, and right radii) among different trapping months. A total of 1,326 insects were recorded from the 100 webs of L. chloris. The prey abundance was found to be highest in the fields from Barki Road, Lahore. The majority of the prey collected from webs of L. chloris belonged to order Diptera, Hemiptera, Coleoptera, and Lepidoptera. However, prey items recorded during different growth stages (from vegetative to ripening) varied significantly. This is the first ever report describing the ecology of L. chloris in rice fields from Punjab, Pakistan.
IoT-Based Emergency Vehicle Services in Intelligent Transportation System

Emergency Management System (EMS) is an important component of Intelligent transportation systems, and its primary objective is to send Emergency Vehicles (EVs) to the location of a reported incident. However, the increasing traffic in urban areas, especially during peak hours, results in the delayed arrival of EVs in many cases, which ultimately leads to higher fatality rates, increased property damage, and higher road congestion. Existing literature addressed this issue by giving higher priority to EVs while traveling to an incident place by changing traffic signals (e.g., making the signals green) on their travel path. A few works have also attempted to find the best route for an EV using traffic information (e.g., number of vehicles, flow rate, and clearance time) at the beginning of the journey. However, these works did not consider congestion or disruption faced by other non-emergency vehicles adjacent to the EV travel path. The selected travel paths are also static and do not consider changing traffic parameters while EVs are en route. To address these issues, this article proposes an Unmanned Aerial Vehicle (UAV) guided priority-based incident management system to assist EVs in obtaining a better clearance time in intersections and thus achieve a lower response time. The proposed model also considers disruption faced by other surrounding non-emergency vehicles adjacent to the EVs’ travel path and selects an optimal solution by controlling the traffic signal phase time to ensure that EVs can reach the incident place on time while causing minimal disruption to other on-road vehicles. Simulation results indicate that the proposed model achieves an 8% lower response time for EVs while the clearance time surrounding the incident place is improved by 12%.