bluuebunny/crossref_metadata_2025 huggingface dataset:
Mitigation of Cadmium Induced Oxidative Stress by Using Organic Amendments to Improve the Growth and Yield of Mash Beans [Vigna mungo (L.)]
Authors: Umer Chattha Muhammad , Arif Warda , Khan Imran , Soufan Walid , Bilal Chattha Muhammad , Hassan Muhammad Umair , Ullah Najeeb , Sabagh Ayman El , Qari Sameer H.
Published: October 2021

Cadmium (Cd) stress is a serious environmental hazard that has devastating impacts on plant growth and productivity. Moreover, the entrance of Cd into the human food chain by eating Cd-contaminated food also poses serious health issues. Organic amendments (OA) possess an excellent potential to reduce the adverse impacts of Cd stress. Therefore, the aim of this study was to determine the potential of different OA in improving the mash beans growth and yield grown under Cd-contaminated soil. The soil was spiked with different concentrations of Cd (0, 10 and 20 mg/kg) and subjected to different OA, i.e., control, cow manure (5%), sugarcane press mud (5%) and a combination of cow manure (2.5%) and sugarcane press mud (2.5%). Results indicated that Cd stress induced a significant reduction in growth and yield traits, leaf water status, photosynthetic pigments, protein accumulation and anti-oxidant activities. However, the application of OA appreciably reduced the Cd-induced toxic effects and caused a significant increase in growth and yield. The application of 5% sugarcane press mud remained the top performer and it increased the mash bean growth and yield through improved photosynthetic pigments, leaf water status (56%) and reduced Cd uptake (18%), hydrogen peroxide (H2O2) production (38.52%), electrolyte leakage (EL) (42.13%) malondialdehyde (MDA) accumulation (55.88%) and increased accumulation of soluble protein (60.15%) and free amino acids (54%) through improved activities of anti-oxidant enzymes. Therefore, these findings suggested that the application of sugarcane press mud enhanced the growth and yield through reduced Cd accumulation, enhanced photosynthetic pigments, leaf water status, protein and amino accumulation and reduced H2O2, EL and MDA accumulation through a stronger anti-oxidant defense system.
Response of Crops to Conservation Tillage and Nitrogen Fertilization under Different Agroecological Conditions
Authors: Jug Irena , Brozović Bojana , Đurđević Boris , Wilczewski Edward , Vukadinović Vesna , Stipešević Bojan , Jug Danijel
Published: October 2021

Effects of soil tillage (CTconventional, SS-subsoiling, CH-chiselling, DH-disk-harrowing and NT-no-till) and nitrogen rate (reduced N1, optimal N2 and luxury N3) on yield and yield components of maize and winter wheat in two different agricultural subregions of Croatia (Magadenovac and Cacinci site), were studied in the years 2013–2014 as part of a long-term experiment. Maize yield and yield components were influenced by site properties, tillage and nitrogen treatments. The highest yields and yield components were recorded at the Magadenovac site with N2 and N3. The lowest values of the yield and yield components of maize were recorded on NT and were significantly lower than CT, SS, CH and DH, among which no significant differences were recorded. Winter wheat yield and yield components were affected by site properties and nitrogen rates while soil tillage treatments only had an influence on grain and straw yield and plant height. Winter wheat achieved maximum yield and yield components on a N3 and N2 and at the Magadenovac site. Winter wheat grain yield decreased in the following order: SS > DH > CH > NT > CT. The obtained results indicate the importance of optimal nitrogen fertilization and the possibility of the implementation of conservation tillage for maize and winter wheat production in different agroecological conditions.
Marketing Farmers’ Varieties in Europe: Encouraging Pathways with Missing Links for the Recognition and Support of Farmer Seed Systems
Authors: Batur Fulya , Bocci Riccardo , Bartha Béla
Published: October 2021

Farmer seed systems come in many shades: Conserving, producing, and using diverse plant material for different motives and purposes, whether the conservation or selection of locally adapted plant varieties and populations, or the safeguard of social bonds to secure economic stability and integration into rural communities. In Europe, strict seed marketing rules, by viewing any exchange of seeds as commercial exploitation, have first outlawed these farmer seed systems and the varieties conserved and developed in these systems, before carving out limited space for them as derogations to the main regime that remains based on mandatory variety registration and certified seed production. Examining these spaces in the legislation of the European Union (‘EU’) and Switzerland, along with their practical implications on the ground, the article shows the conceptual shortcomings of the EU legislation to fully address all the characteristics of farmer seed systems, especially to recognize farmers’ innovation. It exposes the need to carefully define, assess and adjust the underlying objectives of the future EU legislative effort to register farmers’ varieties or allow for their exchange, to fully represent and address the complex socio-economic values and diversity of farmer seed systems. The success of these endeavors will lie in the truthful representation, but also the engagement of farmers and social actors that not only conserve, but also dynamically manage agrobiodiversity.
Curcumin Ameliorates the Cd-Induced Anxiety-like Behavior in Mice by Regulating Oxidative Stress and Neuro-Inflammatory Proteins in the Prefrontal Cortex Region of the Brain
Authors: Namgyal Dhondup , Ali Sher , Hussain Muhammad Delwar , Kazi Mohsin , Ahmad Ajaz , Sarwat Maryam
Published: October 2021

Age-related neurodegenerative diseases and vascular dementia are major challenges to the modern health care system. Most neurodegenerative diseases are associated with impaired spatial working memory and anxiety-like behavior. Thus, it is important to understand the underlying cellular mechanisms of neurodegenerative diseases in different regions of the brain to develop an effective therapeutic approach. In our previous research paper, we have reported the ameliorative effect of curcumin in Cd-induced hippocampal neurodegeneration. However, recently many researchers had reported the important role of the prefrontal cortex in higher cognitive functions. Therefore, to look into the cellular mechanism of curcumin protection against Cd-induced prefrontal cortex neurotoxicity, we investigated spatial working memory, anxiety-like behavior and analyzed prefrontal cortex inflammatory markers (IL-6, IL-10, and TNFα), antioxidant enzymes (SOD, GSH, and CAT), and pro-oxidant MDA level. Further, we conducted histological studies of the prefrontal cortex in Swiss albino mice exposed to cadmium (2.5 mg/kg). We observed that curcumin treatment improved the spatial working memory and anxiety-like behavior of mice through reduction of prefrontal cortex neuroinflammation and oxidative stress as well as increasing the number of viable prefrontal cortex neuronal cells. Our result suggests that environmental heavy metal cadmium can induce behavioral impairment in mice through prefrontal cortex cellular inflammation and oxidative stress. We found that curcumin has a potential therapeutic property to mitigate these behavioral and biochemical impairments induced by cadmium.
How to Prevent SARS-CoV-2 Transmission in the Agri-Food Industry during the First Pandemic Wave: Effects on Seroprevalence
Authors: Vitale Ermanno , Vella Francesca , Filetti Veronica , Cirrincione Luigi , Indelicato Giuliano , Cannizzaro Emanuele , Rapisarda Venerando
Published: October 2021

During the SARS-CoV-2 pandemic, many workplaces were forced to interrupt their activities or alternatively had to prefer a smart way of working, if this was compatible with their activities, to contain the spread of the virus. Some production activities, on the other hand, continued, such as those belonging to the agri-food sector. The aim of the study was to investigate seroprevalence in the workers of an Italian agri-food company following prevention interventions developed in concert with an occupational physician. An observational cohort study was conducted on a population of 328 (100%) workers of a company in the agri-food sector, located in the Sicilian region, which specialized in the production and distribution of citrus fruits. Only one worker was infected with SARS-CoV-2, which later also developed the immune response. No other worker contracted the infection. In conclusion, the measures implemented identified the positive subject for SARS-CoV-2 at an early stage. This made it possible to avoid contagion between the positive subject and the other workers. The occupational physician was also, in this case, essential in decoding and implementing the rules and guidelines useful for the protection of the health and safety of the worker.
Deep Learning-Based Method to Recognize Line Objects and Flow Arrows from Image-Format Piping and Instrumentation Diagrams for Digitization
Authors: Moon Yoochan , Lee Jinwon , Mun Duhwan , Lim Seungeun
Published: October 2021

As part of research on technology for automatic conversion of image-format piping and instrumentation diagram (P&ID) into digital P&ID, the present study proposes a method for recognizing various types of lines and flow arrows in image-format P&ID. The proposed method consists of three steps. In the first step of preprocessing, the outer border and title box in the diagram are removed. In the second step of detection, continuous lines are detected, and then line signs and flow arrows indicating the flow direction are detected. In the third step of post-processing, using the results of line sign detection, continuous lines that require changing of the line type are determined, and the line types are adjusted accordingly. Then, the recognized lines are merged with flow arrows. For verification of the proposed method, a prototype system was used to conduct an experiment of line recognition. For the nine test P&IDs, the average precision and recall were 96.14% and 89.59%, respectively, showing high recognition performance.
Assessment of the Robustness of a Color Monitoring Chart Calibration Method for Crowdsourcing-Based Preventive Conservation
Authors: Barbero-Álvarez Miguel Antonio , Menéndez José Manuel , Rodrigo Juan Antonio , Ramírez-Barat Blanca , Cano Emilio
Published: October 2021

Monitoring environmental factors such as pollutants, relative humidity, light, etc. is needed to ensure a proper preventive conservation of cultural heritage. Since existing systems are expensive and difficult to maintain, we propose as a sustainable alternative the use crowdsourced photographs taken by visitors using their cell phones. These images of a tailor made panel, including sensitive materials and a calibration color chart, are calibrated and colorimetric information extracted from them. The aim of this paper is assessing the robustness of the color chart and the calibration method used, and evaluating how the ageing of the materials of the chart can affect the accuracy of the calibration process. A choice is made between four candidate materials and a set of industrial inks. Several tests have been performed and mathematical metrics extracted, so the most suitable material is adequately selected. It has been checked how the image calibration process, employed for homogenizing information from the crowdsourced pictures, performs with real-life materials and colors to assess the possible degradation that may happen. This work is a part of a bigger project with the aim of building a crowdsourcing-based monitoring system for preventive conservation of cultural heritage.
Identification and Characterization of Known and Novel MicroRNAs in Five Tissues of Wax Gourd (Benincasa hispida) Based on High-Throughput Sequencing
Authors: Yan Jinqiang , Wang Min , Liu Wenrui , Xie Dasen , He Xiaoming , Peng Qingwu , Jiang Biao
Published: October 2021

MicroRNAs (miRNAs) are endogenous single-stranded non-coding small RNAs of 20–24 nucleotides and play important roles in many plant biological and metabolic processes. Wax gourd is an important vegetable of Cucurbitacea family, with great economic and medicinal value. Although miRNAs have been extensively studied in model plant species, less is known in wax gourd (Benincasa hispida). In this study, in order to identify miRNAs in wax groud, five independent small RNA libraries were constructed using leaf, root, stem, flower, and fruit of B227. Based on high-throughput Illumina deep sequencing. In total, 422 known and 409 novel miRNAs were identified from five libraries. Comparative analysis revealed that many miRNAs were differentially expressed among different tissues, indicating tissue-specific expression of some miRNAs. qRT-PCR verified the reliability of small RNA sequencing results. Furthermore, miRNAs with similar expression patterns among five tissues were clustered into the same profile, among which many miRNAs were found with relatively high expression in the fruit of wax gourd. MiR164-x had the highest expression in fruit than in other tissues and many NAC transcription factors were predicted as its target genes. We propose that miR164 might regulate fruit development by forming miR164-NAC module in wax gourd. Taken together, this study provides the first global miRNAs profiling of wax gourd, and lays the foundation for understanding the regulatory roles of miRNAs in the growth and development processes of wax gourd.
Developments of Space Debris Laser Ranging Technology Including the Applications of Picosecond Lasers
Authors: Zhang Haifeng , Long Mingliang , Deng Huarong , Cheng Shaoyu , Wu Zhibo , Zhang Zhongping , Zhang Ali , Sun Jiantao
Published: October 2021

Debris laser ranging (DLR) is receiving considerable attention as an accurate and effective method of determining and predicting the orbits of space debris. This paper reports some technologies of DLR, such as the high pulse repetition frequency (PRF) laser pulse, large-aperture telescope, telescope array, multi-static stations receiving signals. DLR with a picosecond laser at the Shanghai Astronomical Observatory is also presented. A few hundred laps of space debris laser-ranging measurements have been made. A double-pulse picosecond laser with an average power of 4.2 W, a PRF of 1 kHz, and a wavelength of 532 nm has been implemented successfully in DLR, it’s the first time that DLR technology has reached a ranging precision at the sub-decimeter level. In addition, the characteristics of the picosecond-pulse-width laser transmission with the advantages of transmission in laser ranging were analyzed. With a mode of the pulse-burst picosecond laser having high average power, the DLR system has tracked small debris with a radar cross-section (RCS) of 0.91 m2 at a ranging distance up to 1726.8 km, corresponding to an RCS of 0.1 m2 at a distance of 1000 km. These works are expected to provide new technologies to further improve the performance of DLR.
Effects of Narrow Beam Phased Antenna Arrays over the Radio Channel Metrics, Doppler Power Spectrum, and Coherence Time, in a Context of 5G Frequency Bands
Authors: Sánchez Brian J. , Covarrubias David H. , Yepes Leonardo F. , Panduro Marco A. , Juárez Elizvan
Published: October 2021

With the arrival of 5G wireless communication systems, there has been increased interest in exploring higher frequency bands above 6 GHz, up to millimeter-wave frequencies. Radio wave propagation at these higher frequencies can suffer from substantial Doppler impairments. The linear dependency of Doppler shifts with carrier frequencies make them challenging to use in high-mobility 5G cellular scenarios. Therefore, the Doppler power spectrum (DPS) characteristics and radio channel coherence time (CT) of the received signals are of great importance for 5G wireless systems. In this way, this paper presents the effects of a narrow beam phased antenna array in reducing the DPS (due to user movement) and, simultaneously, increasing the coherence time (CT). Functional and complete descriptive assessments of beamwidths versus the DPS and CT, through different elements and geometries of the phased antenna array, are analyzed. Moreover, in terms of CT and the DPS, better performance on the 5G cellular scenarios was obtained.
Analytical Cross Section Approximation for Electron Impact Ionization of Alkali and Other Metals, Inert Gases and Hydrogen Atoms
Authors: Golyatina Rusudan I. , Maiorov Sergey A.
Published: October 2021

The paper presents an analysis of data on the cross sections of electron impact ionization of atoms of alkali metals, hydrogen, noble gases, some transition metals and Al, Fe, Ni, W, Au, Hg, U. For the selected sets of experimental and theoretical data, an optimal analytical formula is found and approximation coefficients are calculated. The obtained semi-empirical formula reproduces the values of the ionization cross sections in a wide range of energies with an accuracy of the order of error of the available theoretical and experimental data.
GM(1,1;λ) with Constrained Linear Least Squares
Authors: Yeh Ming-Feng , Chang Ming-Hung
Published: October 2021

The only parameters of the original GM(1,1) that are generally estimated by the ordinary least squares method are the development coefficient a and the grey input b. However, the weight of the background value, denoted as λ, cannot be obtained simultaneously by such a method. This study, therefore, proposes two simple transformation formulations such that the unknown parameters a, b and λ can be simultaneously estimated by the least squares method. Therefore, such a grey model is termed the GM(1,1;λ). On the other hand, because the permission zone of the development coefficient is bounded, the parameter estimation of the GM(1,1) could be regarded as a bound-constrained least squares problem. Since constrained linear least squares problems generally can be solved by an iterative approach, this study applies the Matlab function lsqlin to solve such constrained problems. Numerical results show that the proposed GM(1,1;λ) performs better than the GM(1,1) in terms of its model fitting accuracy and its forecasting precision.
Assessing the Reliability of Quantitative Fatty Acid Signature Analysis and Compound-Specific Isotope Analysis-Based Mixing Models for Trophic Studies
Authors: Prokopkin Igor , Makhutova Olesia , Kravchuk Elena , Sushchik Nadezhda , Anishchenko Olesia , Gladyshev Michail
Published: October 2021

The study of the trophic relationships of aquatic animals requires correct estimates of their diets. We compared the quantitative fatty acid signature analysis (QFASA) and the isotope-mixing model IsoError, based on the compound-specific isotope analysis of fatty acids (CSIA-FA), which are potentially effective models for quantitative diet estimations. In a 21-day experiment, Daphnia was fed a mixture of two food items, Chlorella and Cryptomonas, which were supplied in nearly equal proportions. The percentages and isotope values of the FAs of the algal species and Daphnia were measured. The IsoError based on CSIA-FA gave an estimation of algae consumption using only one FA, 18:3n-3. According to this model, the proportion of consumption of Chlorella decreased while the proportion of consumption of Cryptomonas increased during the experiment. The QFASA model was used for two FA subsets—the extended-dietary subset, which included sixteen FAs, and the dietary one, which included nine FAs. According to both subsets, the portion of consumed Chlorella decreased from Day 5 to 10 and then increased at Day 21. The comparison of the two model approaches showed that the QFASA model is a more reliable method to determine the contribution of different food sources to the diet of zooplankton than the CSIA-based mixing model.
Self-Attention-Based Models for the Extraction of Molecular Interactions from Biological Texts
Authors: Srivastava Prashant , Bej Saptarshi , Yordanova Kristina , Wolkenhauer Olaf
Published: October 2021

For any molecule, network, or process of interest, keeping up with new publications on these is becoming increasingly difficult. For many cellular processes, the amount molecules and their interactions that need to be considered can be very large. Automated mining of publications can support large-scale molecular interaction maps and database curation. Text mining and Natural-Language-Processing (NLP)-based techniques are finding their applications in mining the biological literature, handling problems such as Named Entity Recognition (NER) and Relationship Extraction (RE). Both rule-based and Machine-Learning (ML)-based NLP approaches have been popular in this context, with multiple research and review articles examining the scope of such models in Biological Literature Mining (BLM). In this review article, we explore self-attention-based models, a special type of Neural-Network (NN)-based architecture that has recently revitalized the field of NLP, applied to biological texts. We cover self-attention models operating either at the sentence level or an abstract level, in the context of molecular interaction extraction, published from 2019 onwards. We conducted a comparative study of the models in terms of their architecture. Moreover, we also discuss some limitations in the field of BLM that identifies opportunities for the extraction of molecular interactions from biological text.
Real-Life Effectiveness of Mepolizumab on Forced Expiratory Flow between 25% and 75% of Forced Vital Capacity in Patients with Severe Eosinophilic Asthma
Authors: Maglio Angelantonio , Vitale Carolina , Pellegrino Simona , Calabrese Cecilia , D’Amato Maria , Molino Antonio , Pelaia Corrado , Triggiani Massimo , Pelaia Girolamo , Stellato Cristiana , Vatrella Alessandro
Published: October 2021

Severe eosinophilic asthma (SEA) is associated with high peripheral blood and airway eosinophilia, recurrent disease exacerbations and severe airflow limitation. Eosinophilic inflammation is also responsible for small airway disease (SAD) development. SEA patients experience poor disease control and response to standard therapy and are prime candidates for anti-IL5 biologicals, such as mepolizumab, but the effect of treatment on SAD is unclear. We investigated the effect of mepolizumab on lung function in SEA patients, focusing on SAD parameters, and searched for an association between patients’ phenotypic characteristics and changes in small airways function. In this real-life study, data from 105 patients with SEA were collected at baseline and after 6, 12 and 18 months of mepolizumab treatment. Along with expected improvements in clinical and lung function parameters brought by Mepolizumab treatment, FEF2525-75% values showed a highly significant, gradual and persistent increase (from 32.7 ± 18.2% at baseline to 48.6 ± 18.4% after 18 months) and correlated with ACT scores at 18 months (r = 0.566; p ≤ 0.0001). A patient subgroup analysis showed that changes in FEF25-75% values were higher in patients with a baseline peripheral blood eosinophil count ≥400 cells/μL and oral corticosteroid use. Mepolizumab significantly improves small airway function. This effect correlates with clinical benefits and may represent an accessible parameter through which to evaluate therapeutic response. This study provides novel insights into the phenotypic characteristics associated with the improved functional outcome provided by mepolizumab treatment.
The Role of Perivascular Adipose Tissue in Early Changes in Arterial Function during High-Fat Diet and Its Combination with High-Fructose Intake in Rats
Authors: Torok Jozef , Zemancikova Anna , Valaskova Zuzana , Balis Peter
Published: October 2021

The aim of the current study was to evaluate the influence of a high-fat diet and its combination with high-fructose intake on young normotensive rats, with focus on the modulatory effect of perivascular adipose tissue (PVAT) on the reactivity of isolated arteries. Six-week-old Wistar–Kyoto rats were treated for 8 weeks with a control diet (10% fat), a high-fat diet (HFD; 45% fat), or a combination of the HFD with a 10% solution of fructose. Contractile and relaxant responses of isolated rat arteries, with preserved and removed PVAT for selected vasoactive stimuli, were recorded isometrically by a force displacement transducer. The results demonstrated that, in young rats, eight weeks of the HFD might lead to body fat accumulation and early excitation of the cardiovascular sympathetic nervous system, as shown by increased heart rate and enhanced arterial contractile responses induced by endogenous noradrenaline released from perivascular sympathetic nerves. The addition of high-fructose intake deteriorated this state by impairment of arterial relaxation and resulted in mild elevation of systolic blood pressure; however, the increase in arterial neurogenic contractions was not detected. The diet-induced alterations in isolated arteries were observed only in the presence of PVAT, indicating that this structure is important in initiation of early vascular changes during the development of metabolic syndrome.
TiO2-Coated ZnO Nanowire Arrays: A Photocatalyst with Enhanced Chemical Corrosion Resistance
Authors: Gao Lan , Nefzaoui Elyes , Marty Frédéric , Erfan Mazen , Bastide Stéphane , Leprince-Wang Yamin , Bourouina Tarik
Published: October 2021

Photocatalysis is proven to be the most efficient and environmentally friendly method for the degradation of organic pollutants in water purification. To meet the requirement of large-scale water treatment, there are two important points: One is the lifetime and chemical stability of the photocatalyst material, especially in the complex and harsh aqueous conditions. The other is the ease of synthesis of such photocatalysts with specific nano-morphology. In this work, two common photocatalyst materials, zinc oxide (ZnO) and titanium dioxide (TiO2), are selected to form more sustainable photocatalysts with high chemical stability. This involves the combination of both TiO2 and ZnO in a two-step simple synthesis method. It appears advantageous to exploit the conformal deposition of atomic layer deposition (ALD) to achieve nanometer-thick TiO2 coating on ZnO nanowires (NWs) with a high aspect ratio, which are firmly anchored to a substrate and exhibit a large specific surface area. The high chemical stability of the ALD TiO2 coating has been investigated in detail and proven to be effective under both strong acid and strong alkaline aqueous solutions. In addition, photocatalysis experiments with organic dyes show that via this simple two-step synthesis method, the produced ZnO/TiO2 tandem photocatalysts does indeed exhibit improved chemical stability in a harsh environment, while allowing efficient photodegradation.
Prompt Graft Cooling Enhances Cardioprotection during Heart Transplantation Procedures through the Regulation of Mitophagy
Authors: Wu Zhichao , Liang Jialiang , Huang Wei , Jiang Lin , Paul Christian , Lin Bonnie , Zheng Junmeng , Wang Yigang
Published: October 2021

A complete and prompt cardiac arrest using a cold cardioplegic solution is routinely used in heart transplantation to protect the graft function. However, warm ischemic time is still inevitable during the procedure to isolate donor hearts in the clinical setting. Our knowledge of the mechanism changes prevented by cold storage, and how warm ischemia damages donor hearts, is extremely poor. The potential consequences of this inevitable warm ischemic time to grafts, and the underlying potential protective mechanism of prompt graft cooling, have been studied in order to explore an advanced graft protection strategy. To this end, a surgical procedure, including 10–15 min warm ischemic time during procurement, was performed in mouse models to mimic the clinical situation (Group I), and compared to a group of mice that had the procurement performed with prompt cooling procedures (Group II). The myocardial morphologic changes (including ultrastructure) were then assessed by electron and optical microscopy after 6 h of cold preservation. Furthermore, syngeneic heart transplantation was performed after 6 h of cold preservation to measure the graft heart function. An electron microscopy showed extensive damage, including hypercontracted myofibers with contraction bands, and damaged mitochondria that released mitochondrial contents in Group I mice, while similar patterns of damage were not observed in the mice from Group II. The results from both the electron microscopy and immunoblotting verified that cardiac mitophagy (protective mitochondrial autophagy) was present in the mice from Group II, but was absent in the mice from Group I. Moreover, the mice from Group II demonstrated faster rebeating times and higher beating scores, as compared to the mice from Group I. The pressure catheter system results indicated that the graft heart function was significantly more improved in the mice from Group II than in those from Group I, as demonstrated by the left ventricle systolic pressure (31.96 ± 6.54 vs. 26.12 ± 8.87 mmHg), the +dp/dt (815.6 ± 215.4 vs. 693.9 ± 153.8 mmHg/s), and the -dp/dt: (492.4 ± 92.98 vs. 418.5 ± 118.9 mmHg/s). In conclusion, the warm ischemic time during the procedure impaired the graft function and destroyed the activation of mitophagy. Thus, appropriate mitophagy activation has emerged as a promising therapeutic target that may be essential for graft protection and functional improvement during heart transplantation.
Suppression of PI3K/Akt/mTOR/c-Myc/mtp53 Positive Feedback Loop Induces Cell Cycle Arrest by Dual PI3K/mTOR Inhibitor PQR309 in Endometrial Cancer Cell Lines
Authors: Hsin I-Lun , Shen Huang-Pin , Chang Hui-Yi , Ko Jiunn-Liang , Wang Po-Hui
Published: October 2021

Gene mutations in PIK3CA, PIK3R1, KRAS, PTEN, and PPP2R1A commonly detected in type I endometrial cancer lead to PI3K/Akt/mTOR pathway activation. Bimiralisib (PQR309), an orally bioavailable selective dual inhibitor of PI3K and mTOR, has been studied in preclinical models and clinical trials. The aim of this study is to evaluate the anticancer effect of PQR309 on endometrial cancer cells. PQR309 decreased cell viability in two-dimensional and three-dimensional cell culture models. PQR309 induced G1 cell cycle arrest and little cell death in endometrial cancer cell lines. It decreased CDK6 expression and increased p27 expression. Using the Proteome Profiler Human XL Oncology Array and Western blot assay, the dual inhibitor could inhibit the expressions of c-Myc and mtp53. KJ-Pyr-9, a c-Myc inhibitor, was used to prove the role of c-Myc in endometrial cancer survival and regulating the expression of mtp53. Knockdown of mtp53 lowered cell proliferation, Akt/mTOR pathway activity, and the expressions of c-Myc. mtp53 silence enhanced PQR309-inhibited cell viability, spheroid formation, and the expressions of p-Akt, c-Myc, and CDK6. This is the first study to reveal the novel finding of the PI3K/mTOR dual inhibitor in lowering cell viability by abolishing the PI3K/Akt/mTOR/c-Myc/mtp53 positive feedback loop in endometrial cancer cell lines.
Investigation of Antidepressant Properties of Yohimbine by Employing Structure-Based Computational Assessments
Authors: Tasleem Munazzah , Alrehaily Abdulwahed , Almeleebia Tahani M. , Alshahrani Mohammad Y. , Ahmad Irfan , Asiri Mohammed , Alabdallah Nadiyah M. , Saeed Mohd
Published: October 2021

The use of pharmaceuticals to treat Major Depressive Disorder (MDD) has several drawbacks, including severe side effects. Natural compounds with great efficacy and few side effects are in high demand due to the global rise in MDD and ineffective treatment. Yohimbine, a natural compound, has been used to treat various ailments, including neurological conditions, since ancient times. Serotonergic neurotransmission plays a crucial role in the pathogenesis of depression; thus, serotonergic receptor agonist/antagonistic drugs are promising anti-depressants. Yohimbine was investigated in this study to determine its antidepressant activity using molecular docking and pharmacokinetic analyses. Additionally, the in silico mutational study was carried out to understand the increase in therapeutic efficiency using site-directed mutagenesis. Conformational changes and fluctuations occurring during wild type and mutant serotonergic receptor, 5-hydroxytryptamine receptors 1A (5HT1A) and yohimbine were assessed by molecular dynamics MD simulation studies. Yohimbine was found to satisfy all the parameters for drug-likeness and pharmacokinetics analysis. It was found to possess a good dock score and hydrogen-bond interactions with wild type 5HT1A structure. Our findings elaborate the substantial efficacy of yohimbine against MDD; however, further bench work studies may be carried out to prove the same.
Using Advanced Learning Technologies with University Students: An Analysis with Machine Learning Techniques
Authors: Sáiz-Manzanares María Consuelo , Marticorena-Sánchez Raúl , Ochoa-Orihuel Javier
Published: October 2021

The use of advanced learning technologies (ALT) techniques in learning management systems (LMS) allows teachers to enhance self-regulated learning and to carry out the personalized monitoring of their students throughout the teaching–learning process. However, the application of educational data mining (EDM) techniques, such as supervised and unsupervised machine learning, is required to interpret the results of the tracking logs in LMS. The objectives of this work were (1) to determine which of the ALT resources would be the best predictor and the best classifier of learning outcomes, behaviours in LMS, and student satisfaction with teaching; (2) to determine whether the groupings found in the clusters coincide with the students’ group of origin. We worked with a sample of third-year students completing Health Sciences degrees. The results indicate that the combination of ALT resources used predict 31% of learning outcomes, behaviours in the LMS, and student satisfaction. In addition, student access to automatic feedback was the best classifier. Finally, the degree of relationship between the source group and the found cluster was medium (C = 0.61). It is necessary to include ALT resources and the greater automation of EDM techniques in the LMS to facilitate their use by teachers.
Environmental Sound Recognition on Embedded Systems: From FPGAs to TPUs
Authors: Vandendriessche Jurgen , Wouters Nick , da Silva Bruno , Lamrini Mimoun , Chkouri Mohamed Yassin , Touhafi Abdellah
Published: October 2021

In recent years, Environmental Sound Recognition (ESR) has become a relevant capability for urban monitoring applications. The techniques for automated sound recognition often rely on machine learning approaches, which have increased in complexity in order to achieve higher accuracy. Nonetheless, such machine learning techniques often have to be deployed on resource and power-constrained embedded devices, which has become a challenge with the adoption of deep learning approaches based on Convolutional Neural Networks (CNNs). Field-Programmable Gate Arrays (FPGAs) are power efficient and highly suitable for computationally intensive algorithms like CNNs. By fully exploiting their parallel nature, they have the potential to accelerate the inference time as compared to other embedded devices. Similarly, dedicated architectures to accelerate Artificial Intelligence (AI) such as Tensor Processing Units (TPUs) promise to deliver high accuracy while achieving high performance. In this work, we evaluate existing tool flows to deploy CNN models on FPGAs as well as on TPU platforms. We propose and adjust several CNN-based sound classifiers to be embedded on such hardware accelerators. The results demonstrate the maturity of the existing tools and how FPGAs can be exploited to outperform TPUs.
A Deep Neural Network Based on ResNet for Predicting Solutions of Poisson–Boltzmann Equation
Authors: Kwon In , Jo Gwanghyun , Shin Kwang-Seong
Published: October 2021

The Poisson–Boltzmann equation (PBE) arises in various disciplines including biophysics, electrochemistry, and colloid chemistry, leading to the need for efficient and accurate simulations of PBE. However, most of the finite difference/element methods developed so far are rather complicated to implement. In this study, we develop a ResNet-based artificial neural network (ANN) to predict solutions of PBE. Our networks are robust with respect to the locations of charges and shapes of solvent–solute interfaces. To generate train and test sets, we have solved PBE using immersed finite element method (IFEM) proposed in (Kwon, I.; Kwak, D. Y. Discontinuous bubble immersed finite element method for Poisson–Boltzmann equation. Communications in Computational Physics 2019, 25, pp. 928–946). Once the proposed ANNs are trained, one can predict solutions of PBE in almost real time by a simple substitution of information of charges/interfaces into the networks. Thus, our algorithms can be used effectively in various biomolecular simulations including ion-channeling simulations and calculations of diffusion-controlled enzyme reaction rate. The performance of the ANN is reported in the result section. The comparison between IFEM-generated solutions and network-generated solutions shows that root mean squared error are below 5·10−7. Additionally, blow-ups of electrostatic potentials near the singular charge region and abrupt decreases near the interfaces are represented in a reasonable way.
Microbial Decontamination of Bee Pollen by Direct Ozone Exposure
Authors: Cabello Juan Ramón , Serrano Salud , Rodríguez Inmaculada , García-Valcárcel Ana Isabel , Hernando María Dolores , Flores José Manuel
Published: October 2021

The bee pollen is a complete and healthy food with important nutritional properties. Usually, bee pollen is consumed dehydrated, but it is possible to market it as fresh frozen pollen, favoring the maintenance of its properties and greatly increasing its palatability, compared to dried pollen. However, fresh frozen pollen maintains a high microbiological load that can include some pathogenic genus to human health. In this work, ozonation combined with drying is applied to reduce the microbiological load. The lowest timing exposure to ozone (30 min) was chosen together with hot-air drying during 15 min to evaluate the shelf-life of treated bee-pollen under cold storage (4 °C), and initial reductions of 3, 1.5, and 1.7 log cycles were obtained for Enterobacteriaceae, mesophilic aerobes, and molds and yeasts counting, respectively. Six weeks after treatment the microbial load was held at a lower level than initially observed in fresh bee-pollen. In addition, ozone treatment did not have a negative impact on the polyphenols evaluated. Likewise, the sensory profile of the bee pollen under different treatments was studied. For all these assays the results have been favorable, so we can say that ozonation of fresh pollen is safe for human consumption, which maintains its polyphenols composition and organoleptically is better valued than dried pollen.
Nutritional Content of Street Food and Takeaway Food Purchased in Urban Bosnia and Herzegovina
Authors: Sousa Sofia , de Morais Inês Lança , Albuquerque Gabriela , Gelormini Marcello , Santos Mariana , Filipović-Hadžiomeragić Aida , Stojisavljevic Dragana , Damasceno Albertino , Moreira Pedro , Breda João , Lunet Nuno , Padrão Patrícia
Published: October 2021

Street food (SF) and takeaway food (TAF) are important sources of out-of-home meals in urban Bosnia and Herzegovina, where diet-related non-communicable diseases are growing rapidly. This study aimed to characterise SF and TAF purchased in urban areas of Bosnia and Herzegovina, regarding customers’ characteristics and the nutritional composition of the foods and beverages. A cross-sectional study was conducted in Sarajevo and Banja Luka in 2017. SF (n = 194) and TAF vending sites (n = 154) were selected through random and systematic sampling. Data on the food items purchased and customers’ characteristics were collected by direct observation. Nutritional composition was estimated using data from chemical analyses of the foods most commonly available. Two-thirds of the customers observed (n = 755) were aged ≥35 years, half were women and 27.7% were overweight/obese. A total of 929 food items were purchased. The most commonly bought SFs were confectionery (30.5%), water (27.9%) and soft drinks/juices (22.2%). TAF customers purchased mostly savoury pastries (39.8%), breads (27.1%) and main dishes (21.4%). Almost half of customers purchased industrial food (i.e., pre-packaged foods and beverages produced by the food industry). The purchases presented median contents of 18.7 g of fat (39.6% saturated, 32.3% monounsaturated, 22.1% polyunsaturated, 1.5% trans), 838 mg of sodium and 285 mg of potassium. Saturated-fat contribution was higher in SF purchases (60.4% vs. 30.2%, p < 0.001), whereas TAF purchases presented higher trans-fat proportion (1.8% vs. 0.6%, p < 0.001), sodium (1241 vs. 89 mg, p < 0.001) and sodium-potassium ratio (6.1 vs. 0.6, p < 0.001). Generally, SF and TAF bought in Sarajevo and Banja Luka were rich in saturated and trans fatty-acids and sodium, and poor in potassium. Nutrition policies promoting use of healthier fats and salt reduction in SF and TAF may contribute to the prevention of diet-related diseases in these settings.
Polyphenols: From Theory to Practice
Authors: Bertelli Alberto , Biagi Marco , Corsini Maddalena , Baini Giulia , Cappellucci Giorgio , Miraldi Elisabetta
Published: October 2021

Background: The importance of polyphenols in human health is well known; these compounds are common in foods, such as fruits, vegetables, spices, extra virgin olive oil and wine. On the other hand, the different factors that modulate the biological activity of these compounds are less well known. Conceptualization of the work: In this review we took into account about 200 relevant and recent papers on the following topics: “polyphenols bioavailability”, “polyphenols matrix effect”, “food matrix effect”, “polyphenols-cytochromes interaction”, after having reviewed and updated information on chemical classification and main biological properties of polyphenols, such as the antioxidant, anti-radical and anti-inflammatory activity, together with the tricky link between in vitro tests and clinical trials. Key findings: the issue of polyphenols bioavailability and matrix effect should be better taken into account when health claims are referred to polyphenols, thus considering the matrix effect, enzymatic interactions, reactions with other foods or genetic or gender characteristics that could interfere. We also discovered that in vitro studies often underrate the role of phytocomplexes and thus we provided practical hints to describe a clearer way to approach an investigation on polyphenols for a more resounding transfer to their use in medicine.
Natural Products Self-Assembled Nanozyme for Cascade Detection of Glucose and Bacterial Viability in Food
Authors: Zhang Qiuping , Wang Xinze , Kang Yi , Sun Hao , Liang Yanmin , Liu Jie , Su Zehui , Dan Jie , Luo Linpin , Yue Tianli , Wang Jianlong , Zhang Wentao
Published: October 2021

Sugar content and bacterial contamination levels are important indicators for the health and safety of food, respectively. Therefore, it is important to construct a method that can detect both glucose and bacterial activity. Herein, natural compounds (gallic acid and glucose oxidase) were assembled into nanozyme (GOx@GA-Fe (ii)) for mild cascade detection. The nanozyme catalyzes glucose to produce hydrogen peroxide, which is then converted to ·OH and oxidized colorless TMB from blue oxidized TMB. Under the optimal conditions, the method has a good linear relationship in the glucose concentration range of 1–500 μM (R2 = 0.993) with minimum detection concentration of 0.43 μM. Based on the glucose consumption of bacteria metabolism, the cascade reaction was then applied to detect the viability of 5 common bacteria. As such, a cascade method based on a natural self-assembled nanozyme was fabricated to monitor the quality of food.
Yield, Grain Quality, and Starch Physicochemical Properties of 2 Elite Thai Rice Cultivars Grown under Varying Production Systems and Soil Characteristics
Authors: Sangwongchai Wichian , Tananuwong Kanitha , Krusong Kuakarun , Thitisaksakul Maysaya
Published: October 2021

Rice production systems and soil characteristics play a crucial role in determining its yield and grain quality. Two elite Thai rice cultivars, namely, KDML105 and RD6, were cultivated in two production systems with distinct soil characteristics, including net-house pot production and open-field production. Under open-field system, KDML105 and RD6 had greater panicle number, total grain weight, 100-grain weight, grain size, and dimension than those grown in the net-house. The amounts of reducing sugar and long amylopectin branch chains (DP 25–36) of the RD6 grains along with the amounts of long branch chains (DP 25–36 and DP ≥ 37), C-type starch granules, and average chain length of the KDML105 were substantially enhanced by the open-field cultivation. Contrastingly, the relative crystallinity of RD6 starch and the amounts of short branch chains (DP 6–12 and DP 13–24), B- and A-type granules, and median granule size of KDML105 starch were significantly suppressed. Consequently, the open-field-grown RD6 starch displayed significant changes in its gelatinization and retrogradation properties, whereas, certain retrogradation parameters and peak viscosity (PV) of KDML105 starches were differentially affected by the distinct cultivating conditions. This study demonstrated the influences of production systems and soil characteristics on the physicochemical properties of rice starches.
Health Literacy among Filipino Domestic Workers in Macao
Authors: Cheong Pak-Leng , Wang Hui , Cheong Wan , Lam Mei Ieng
Published: October 2021

Migrant worker is a global phenomenon that is associated with the health of individuals and populations. Filipino workers constitute the largest group of non-Chinese migrant workers in Macao, they are mainly employed as domestic workers. The purpose of this study is to investigate the status of health literacy (HL) and associated factors among Filipino domestic workers in Macao. The study is a cross-sectional study. Chi square’s test and binary logistic regression models were used for data analyzing. Filipino who was employed by a family in Macao as a domestic worker within the valid contract period was eligible in the study. A total of 379 valid questionnaires were collected during December 2020 and March 2021. Health literacy was measured using the short-form Health Literacy Instrument (HLS-SF12). The results showed that only 37.4% of the respondents have sufficient health literacy. Age was an important factor that was associated with health literacy, with Filipino domestic workers younger than and equal to 30 years of age more likely to have inadequate health literacy. The results will help to make recommendations for further research and public health policy.