bluuebunny/crossref_metadata_2025 huggingface dataset:
Preliminary Design and Analysis of Supersonic Business Jet Engines
Authors: Schlette Timo , Staudacher Stephan
Published: September 2022

Currently projected supersonic business jets target selected supersonic flight missions with Mach numbers of about 1.4 and a larger number of long-range subsonic flight missions. They form a new type of aircraft that is specially tailored to these requirements. The question arises as to which engine configurations and technology levels are required to support these new applications. This is addressed firstly by exploring the design space of potential working cycles. An aircraft model is used to translate the results of the cycle study into an expected aircraft range. An optimal core engine and fan configuration result from the cycle study and the derived mission ranges. The preliminary design of the low-pressure components is investigated in the second step based on the optimal core configuration. The highest non-dimensional parameters are encountered in subsonic flight conditions. The highest dimensional parameters are encountered in supersonic high-altitude flight conditions. High-overall-efficiency configurations do not result in optimal aircraft ranges. There is an optimal number of two fan stages and a specific thrust of about 300 m/s, resulting in a maximum aircraft range that is 11% superior to that achievable with a single-stage fan. A fan hub-to-tip ratio range that is comparable to that of military fans is desirable, with an aerodynamic lower limit around 0.37. The low-pressure turbine stage count is a compromise between turbine mass and size.
Motor Torque Distribution Strategy for Different Tillage Modes of Agricultural Electric Tractors
Authors: Yu Yao , Hao Shuaihua , Guo Songbao , Tang Zhong , Chen Shuren
Published: September 2022

Aiming at the existing single-motor agricultural tractors, which often have a mismatch between power and working conditions and a poor operation effect under different tillage modes, this paper designs a torque allocation strategy for agricultural electric tractors under different tillage modes. Firstly, the torque is divided into basic and compensating, and a calculation model is established. Then, the Particle Swarm Optimization algorithm is used to find the optimal demand torque position, and fuzzy control rules allocate the motor torque in combination with the battery SOC. Finally, the strategy’s effectiveness in different tillage modes is verified by MATLAB/Simulink simulation and bench test. The test results show that the strategy can distribute the motor torque stably according to the load torque change and pedal opening under three PTO transitions and the plowing and rotary tillage modes. The main and speed control motors respond in about 3 s with good real-time performance. The drive wheel torque can reach 1600 N·m during plowing and rotating operation. The PTO torque can reach 60 N·m during the rotating process. The maximum torque of the output shaft can reach 150 N·m with good plowing performance. During all operations, the SOC of the battery shows a steady linear decrease, and the battery discharge has stability.
The Role of Cytokinins and Gibberellins on Post-Harvest Longevity of Florists’ Greens
Authors: Janowska Beata , Andrzejak Roman
Published: September 2022

Florists’ greens are a very important element of floral compositions, and their vase life must match that of the flowers, hence this review presents the results of research that has been conducted over the years in order to improve the post-harvest longevity of species that are grown for florists’ greens using growth regulators from groups of gibberellins (GAs) and cytokinins (CKs). Florists’ greens include foliage, the leafy and non-leafy stems of herbaceous plants, trees, bushes, and phylloclades. The post-harvest longevity of florists’ greens is influenced by genetics. Also strongly affected by the growing conditions and the conditions of the transport of the florists’ greens and the conditions when supplying them to markets are also significant. Moreover, florists’ greens are not supplied with growth regulators, which play a critical role in their ageing process. The CKs and GAs are considered to be inhibitors of ageing; however, unfortunately, their content in plant tissues decreases during the progressive ageing process, while the amount of regulators that accelerate ageing increases. International research is focusing on the use of growth regulators in the post-harvest treatment of florists’ greens. Their effectiveness has been shown to depend on the species, the cultivar, the concentration, and the method of application, therefore, there is no ready-made recipe that can be used for all species. The growth regulators from the CK and GA groups are used to condition the florists’ greens. Few studies to date point to the possibility of using topolines (Ts) and ionic liquids in order to extend the post-harvest longevity of florists’ greens. The standard cut flower medium containing 2% sucrose and hydroxyquinoline esters—sulphate or citrate (8HQS and 8HQC)—at a concentration of 200 mg·dm−3, which is used to conditioning, does not have a positive effect on florists’ greens of most species.
Efficiency of Precision Fertilization System in Grain-Grass Crop Rotation
Authors: Ivanov Aleksey , Ivanova Zhanna
Published: September 2022

The purpose of a comprehensive field experiment was to evaluate the agronomic efficiency of a precise organomineral fertilizer system based on a uniform and differentiated application of mineral and organic fertilizers. The methodological basis of the study was a two-factor landscape field experiment with grain-grass crop rotation, established within the sloping agricultural landscape of a gently undulating glaciolacustrine plain. It was determined, that soil and agrochemical conditions and a stable soil water regime were of decisive importance in the effectiveness of fertilizers within the agrolandscape. The level increase in yield from the differentiated application of peat-dung compost (once in a bare fallow) and mineral fertilizers relative to the uniform application was 7–12% for winter wheat, 5–11% for oats, 3–8% for perennial grasses, and in the entire crop rotation—5–8%. It regularly decreased during the mineralization of the applied organic fertilizers. Among the three variants of the precise fertilization system studied, the best result was achieved in the option, where organic and mineral fertilizers were applied differentially. In this case, the absolute increase in crop rotation productivity relative to the unfertilized variant reached 16.39 t ha−1 of cereal units or 116%, and relative to the uniform fertilizer system—2.27 t ha−1 of cereal units or 8%.
Identification of Buffalo Breeds Using Self-Activated-Based Improved Convolutional Neural Networks
Authors: Pan Yuanzhi , Jin Hua , Gao Jiechao , Rauf Hafiz
Published: September 2022

The livestock of Pakistan includes different animal breeds utilized for milk farming and exporting worldwide. Buffalo have a high milk production rate, and Pakistan is the third-largest milk-producing country, and its production is increasing over time. Hence, it is essential to recognize the best Buffalo breed for a high milk- and meat yield to meet the world’s demands and breed production. Pakistan has the second-largest number of buffalos among countries worldwide, where the Neli-Ravi breed is the most common. The extensive demand for Neli and Ravi breeds resulted in the new cross-breed “Neli-Ravi” in the 1960s. Identifying and segregating the Neli-Ravi breed from other buffalo breeds is the most crucial concern for Pakistan’s dairy-production centers. Therefore, the automatic detection and classification of buffalo breeds are required. In this research, a computer-vision-based recognition framework is proposed to identify and classify the Neli-Ravi breed from other buffalo breeds. The proposed framework employs self-activated-based improved convolutional neural networks (CNN) combined with self-transfer learning. Moreover, feature maps extracted from CNN are further transferred to obtain rich feature vectors. Different machine learning (Ml) classifiers are adopted to classify the feature vectors. The proposed framework is evaluated on two buffalo breeds, namely, Neli-Ravi and Khundi, and one additional target class contains different buffalo breeds collectively called Mix. The proposed research achieves a maximum of 93% accuracy using SVM and more than 85% accuracy employing recent variants.
An Economic Evaluation of Improved Rice Production Technology in Telangana State, India
Authors: Bandumula Nirmala , Rathod Santosha , Ondrasek Gabrijel , Pillai Muthuraman Pitchiah , Sundaram Raman Meenakshi
Published: September 2022

The demonstrations on improved rice production technology were organized in the Wanaparthy, Nagarkurnool, Yadadri Bhuvanagiri, and Rangareddy districts of Telangana state of India. These demonstrations were organized under the Scheduled Caste Sub Plan of the Indian Institute of Rice Research during the wet season of 2021. The biofortified varieties assume great significance to achieve nutrition security. Hence, the zinc biofortified rice variety, DRR Dhan 48 was demonstrated on the 142 farmer fields and the economic impact of these demonstrations was assessed with the ‘difference in difference’ approach. The results revealed that the production of rice under demonstration plots was more profitable with a higher benefit-to-cost ratio (B:C; 1.9) compared to that of the control plots (1.4). The independent two-sample t-test revealed that the productivity at the control plots was not statistically different from that of the demonstrations plots (p = 0.112) before the project was implemented, however, with the intervention in the form of the demonstration of improved rice production technology, the productivity differed significantly (p = 0.000) for the control and the demonstration plots for the intervention year. The results of the difference in differences estimator revealed that there was a positive impact of demonstrations on the yield of the beneficiaries. The mean productivity of demonstration plots and control plots were 5.52 t/ha and 4.5 t/ha, respectively. The farmers had an additional yield advantage of 22.6% over the control plots. The results indicated that the adoption of an improved package of practices would enable harnessing higher productivity levels and bridging the yield gaps in similar agroecosystems. Also, the results suggest the practical significance of the popularization of biofortified rice varieties for food and nutritional security.
The Effect of Tillage Systems and Weed Control Methods on the Yield and Quality of Spelt Grain (Triticum aestivum ssp. spelta L.)
Authors: Wesołowska Sylwia , Daniłkiewicz Dariusz , Gawęda Dorota , Haliniarz Małgorzata , Rusecki Hubert , Łukasz Justyna
Published: September 2022

The aim of this three-year field experiment was to determine how simplified (reduced) pre-planting tillage and different weed control methods impact the yield and selected quality parameters of spelt grain (Triticum aestivum ssp. spelta L.). Conventional tillage and three variants of reduced tillage (RT) were tested. The second experimental variable (weed control) had three variants: mechanical weed control (M), combined mechanical + chemical treatment at full herbicide rate (MC 100%), and combined mechanical + chemical treatment at 25%-reduced herbicide rate (MC 75%). The mechanical method consisted of harrowing the wheat crop in the fall and spring. The results showed that the wheat yields obtained under reduced pre-planting tillage were comparable to those under conventional tillage. However, the grain quality parameters proved to be worse under the reduced tillage regimes. Herbicide applications, both at full and reduced rates, significantly improved grain quality parameters and yields compared with mechanical-only weed control. In particular, the herbicide-treated crops boasted higher values of thousand-kernel weight and grain weight per ear.
Design and Test of the Seedling Cavitation and Lodging Monitoring System for the Rape Blanket Seedling Transplanter
Authors: Zhang Min , Jiang Zhan , Jiang Lan , Wu Chongyou , Yang Yao
Published: September 2022

To realize the real-time monitoring of the lodging and cavitation state of the rape blanket seedling transplanter, a real-time online monitoring system set for cavitation and lodging based on machine vision was designed. The system was mainly composed of an image acquisition module, a height sensor, and an IPC (Industrial Personal Computer). When the system starts to work, the height of the lens from the ground and the collected images are saved in real time, and the operating status of the equipment is judged according to the height of the lens from the ground, and the actual corresponding size of the image pixels is corrected. We proposed a calculation method for judging the cavitation and lodging state of the seedlings based on the comparison between the actual planting position and the theoretical planting position of the seedlings. The processing and analysis software for the cavitation and lodging monitoring system of the rape blanket transplanter was compiled, and the monitoring system was developed. The dynamic test showed that the maximum absolute error of the cavitation recognition rate was 1.23%, and the maximum absolute error of the lodging recognition rate was 3.80%. The total time consumed of a 1 m image collected in real time from the collection, image processing and stitching, to seedling status recognition of the rape blanket seedling field was about 1 s. The accuracy and system processing time of the seedling cavitation and lodging state judgment can meet the accuracy and real-time requirements of cavitation and lodging state recognition for field transfer of rape blanket seedlings.
Temporal and Spatial Positioning of Service Crops in Cereals Affects Yield and Weed Control
Authors: Lagerquist Elsa , Menegat Alexander , Dahlin Anna Sigrun , Parsons David , Watson Christine , Ståhl Per , Gunnarsson Anita , Bergkvist Göran
Published: September 2022

Leguminous service crops (SCs) can provide multiple services to cropping systems, reducing the reliance on external resources if sufficient biomass is produced. However, rapid light and temperature reductions limit post-harvest cultivation of SCs in Northern Europe. A novel practice of intercropping SCs in two consecutive crops (spring–winter cereal) to extend the period of SCs growth, and hence improve yield and reduce weeds, was tested. Three spatial and temporal arrangements of SCs and cash crops were investigated, as well as three SC mixtures, characterized by their longevity and frost sensitivity. Compared to no SC, the best performing mixture, frost-tolerant annuals, increased grain and N yield of winter wheat by 10% and 19%, respectively, and reduced weed biomass by 15% and 26% in oats and winter wheat, respectively. These effects were attributed to high biomass production and winter survival. However, this SC reduced oat yields by 15% compared to no SC. Furthermore, SC growth and service provision varied largely between experiments, driven by the weather conditions. Extending the SC’s growth period by intercropping in two consecutive cereal crops has potential, but locally adapted species choices and establishment strategies are needed to ensure SC vitality until termination.
Interaction of Biochar with Chemical, Green and Biological Nitrogen Fertilizers on Nitrogen Use Efficiency Indices
Authors: Ghorbani Mohammad , Konvalina Petr , Neugschwandtner Reinhard W. , Kopecký Marek , Amirahmadi Elnaz , Bucur Daniel , Walkiewicz Anna
Published: September 2022

Chemical nitrogen (N) fertilizers are regarded as one of the environmental contaminants in addition to the necessity for fossil sources for their production. Conversely, it is impossible to neglect the supply of nitrogen needed as one of the essential ingredients for plant function. For organic agriculture, it is crucial to use alternative fertilizer management to reduce the harmful impacts and production costs of chemical fertilizers. In a one-year pot experiment, nitrate (NO−3) leaching and nitrogen efficiency of wheat were examined in relation to biochar (B) mixed with urea (U), legume residues (L), and azocompost (A), which represent chemical, green, and biological sources of N-fertilizers, respectively. Control (no biochar, no fertilizer), U (46 kg ha−1), A (5 t ha−1), L (5 t ha−1), B (10 t ha−1), UB, AB, and LB were the experimental treatments. Grain yield of wheat was enhanced by 337% and 312% with UB and UL, respectively. The LB produced the highest grain N yield, with a rise of 8.8 times over the control. L had the highest N-use efficiency, with an increase of 149% over the control. The highest N-harvest index and N-recovery efficiency were obtained by using LB, with values of 91 and 70 %, respectively. Nitrate leaching occurred in the following order: U > Control ≥ A ≥ L > UB > AB ≥ LB > B. Nitrogen is retained for the plant in the extensive specific surface of biochar when N-fertilizers are used in conjunction with them. This not only improves N-efficiency but also minimizes nitrogen loss through leaching. Additionally, the soil can benefit from the addition of leguminous organic fertilizer in a similar way as to urea fertilizer in terms of increasing wheat grain yield, particularly when combined with biochar.
Traditional Use of Wild and Domestic Fauna among Different Ethnic Groups in the Western Himalayas—A Cross Cultural Analysis
Authors: Hassan Musheerul , Haq Shiekh Marifatul , Ahmad Riyaz , Majeed Muhammad , Sahito Hakim Ali , Shirani Madeeha , Mubeen Iqra , Aziz Muhammad Abdul , Pieroni Andrea , Bussmann Rainer W. , Alataway Abed , Dewidar Ahmed Z. , Al-Yafrsi Mohamed , Elansary Hosam O. , Yessoufou Kowiyou
Published: September 2022

Animal-derived products have an important role in treating many health conditions and have widely been used across cultures. In South Asia, ethnozoological research has been conducted only by a small number of researchers. Therefore, this area of research needs further exploration in order to preserve the eroding ethnozoological knowledge of medicinal animals severely affected by ongoing social change. This study was conducted in the region of Jammu and Kashmir from February 2019 to August 2021. The study was carried out among eight different ethnic groups living in the region. A total of 374 informants were selected and data were collected through semi-structured interviews and verified through group discussions. Data was analyzed using different statistical tools, including R 4.0.0. The cross-cultural data were compared through Bioinformatics and Evolutionary Genomics software and later subjected to further analysis, applying Pearson correlation and ordination techniques (Principal Component Analysis). We recorded a total of 79 animal species being used by the eight studied ethnic groups in the region. Wild animal species were mainly used for therapeutic purposes. Chest infections, sexual problems, and paralysis were frequently treated diseases. Flesh was the most commonly part used. The cross-cultural comparison showed a remarkable heterogeneity in the use of the animals among the different groups, which could be an effect to the historical sociocultural stratifications, as well as different religious affiliation of certain groups preventing them to forage or hunt certain animals. Some groups however showed prominent overlap of uses of some recorded species. For instance, Lerwalerwa and Bubalus bubalis were commonly used by both Gujjar and Pahari, which could be referred to the fact that they have gone through significant socio-cultural contact, and they are exogamous to each other. The Pearson correlation coefficient supported the strength and direction of an association between ethnic groups and regions. The study makes an important contribution to the field of ethnozoology in the Himalayas by providing insights to understand the historical human and nature relationships and supplying a baseline for developing future conservation efforts in the region to protect the wild fauna
Air Quality, Management Practices and Calf Health in Italian Dairy Cattle Farms
Authors: Bonizzi Serena , Gislon Giulia , Brasca Milena , Morandi Stefano , Sandrucci Anna , Zucali Maddalena
Published: September 2022

Among factors that can affect calf health, microbial quality of the pen air is poorly studied. In 25 Italian dairy farms, data concerning air quality in the calf pens, hygiene of pens and equipment, microclimatic conditions, calf health and management were collected during the winter season (January-March 2020 and December-March 2021). The average air Standard Plate Count (SPC) of 85 pens was 4.51 (SD = 0.52) log10 cfu/m3 whereas the average air ammonia concentration was 0.66 (SD = 0.53) ppm. Positive correlations were found between average Temperature Humidity Index (THI) in the pen and air SPC, night maximum THI and air SPC and between SPC and yeast, mould and ammonia concentration in the pen air. The concentrations of E. coli, Enterobacteriaceae and yeasts in the pen air were higher and calf cough increased as the renewal interval of bedding material became longer. High bedding dry matter and low THI were associated with low air SPC, good calf health scores and low mortality. Maintaining low bedding humidity and controlling microclimatic conditions can contribute to enhancing air microbiological quality in the pen and reduce calf diseases and mortality.
Ruminal Bacterial Community Successions in Response to Monensin Supplementation in Goats
Authors: Guo Xi , Liu Yuqin , Jiang Yu , Yao Junhu , Li Zongjun
Published: September 2022

Previous studies have demonstrated that the effects of monensin on methanogenesis and ruminal fermentation in ruminants were time-dependent. To elucidate the underlying mechanism, we investigated the ruminal bacterial community successions during the adaptation to monensin supplementation and subsequent withdrawal in goats. The experiment included a baseline period of 20 days followed by a treatment period of 55 days with 32 mg monensin/d and a washout period of 15 days. Monensin supplementation reduced the α diversity and changed the structure of ruminal microflora. The α diversity was gradually restored during adaption, but the structure was still reshaped. The temporal dynamics of 261 treatment- and/or time-associated ruminal bacteria displayed six patterns, with two as monensin-sensitive and four as monensin-resistant. The monensin sensitivity and resistance of microbes do not follow a clear dichotomy between Gram-positive and Gram-negative cell types. Moreover, the temporal dynamic patterns of different bacterial species within the same genus or family also displayed variation. Of note, the relative abundance of the total ruminal cellulolytic bacteria gradually increased following monensin treatment, and that of the total amylolytic bacteria were increased by monensin, independent of the duration. In conclusion, under the pressure of monensin, the ruminal ecosystem was reshaped through a series of succession processes, and the carbohydrate-degrading bacteria presented a higher level of adaptability.
Influence of Water Salinity on the Growth and Survivability of Asp Larvae Leuciscus aspius (Linnaeus, 1758) under Controlled Conditions
Authors: Kujawa Roman , Piech Przemysław
Published: September 2022

The effect of water with a salinity 3, 5, 7, 9 and 11 ppt on the growth and survivability of asp Leuciscus aspius (L.) larvae was investigated. A control sample consisted of asp larvae reared up in freshwater (0 ppt). Larvae were fed for 21 days with nauplii of the brine shrimp Artemia salina. Water salinity was observed to have a considerable effect on the growth and survivability of asp larvae. In addition, saline water extended the life span of Artemia salina nauplii, which resulted in their prolonged availability to asp larvae. Asp larvae showed low tolerance to the salinity of water, reaching 9–11 ppt. Depending on the degree of salinity, the mean final weight of larvae varied from 122.6 to 139.4 mg, at body lengths from 23.8 to 25.6 mm, respectively. The best body length increments were recorded among asp larvae maintained in water with a salinity of 3 ppt. Depending on the level of water salinity, the final survivability of asp larvae ranged from 16.9 to 94.5%. The highest and increasing mortality was demonstrated among the larvae reared in water of the salinity equal to 11 ppt. It is not recommended to rear asp larvae in water with a salinity above 7 ppt due to the low survivability and large differences in the body size of the larvae that managed to survive.
Genetic Parameter Estimation and Genome-Wide Association Analysis of Social Genetic Effects on Average Daily Gain in Purebreds and Crossbreds
Authors: Seong Ha-Seung , Kim Young-Sin , Sa Soo-Jin , Jeong Yongdae , Hong Joon-Ki , Cho Eun-Seok
Published: September 2022

Average daily gain (ADG) is an important growth trait in the pig industry. The direct genetic effect (DGE) has been studied mainly to assess the association between genetic information and economic traits. The social genetic effect (SGE) has been shown to affect ADG simultaneously with the DGE because of group housing systems. We conducted this study to elucidate the genetic characteristics and relationships of the DGE and SGE of purebred Korean Duroc and crossbred pigs by single-step genomic best linear unbiased prediction and a genome-wide association study. We used the genotype, phenotype, and pedigree data of 1779, 6022, and 7904 animals, respectively. Total heritabilities on ADG were 0.19 ± 0.04 and 0.39 ± 0.08 for purebred and crossbred pigs, respectively. The genetic correlation was the greatest (0.77 ± 0.12) between the SGE of purebred and DGE of crossbred pigs. We found candidate genes located in the quantitative trait loci (QTLs) for the SGE that were associated with behavior and neurodegenerative diseases, and candidate genes in the QTLs for DGE that were related to body mass, size of muscle fiber, and muscle hypertrophy. These results suggest that the genomic selection of purebred animals could be applied for crossbred performance.
New MraYAA Inhibitors with an Aminoribosyl Uridine Structure and an Oxadiazole
Authors: Wan Hongwei , Ben Othman Raja , Le Corre Laurent , Poinsot Mélanie , Oliver Martin , Amoroso Ana , Joris Bernard , Touzé Thierry , Auger Rodolphe , Calvet-Vitale Sandrine , Bosco Michaël , Gravier-Pelletier Christine
Published: September 2022

New inhibitors of the bacterial transferase MraY from Aquifex aeolicus (MraYAA), based on the aminoribosyl uridine central core of known natural MraY inhibitors, have been designed to generate interaction of their oxadiazole linker with the key amino acids (H324 or H325) of the enzyme active site, as observed for the highly potent inhibitors carbacaprazamycin, muraymycin D2 and tunicamycin. A panel of ten compounds was synthetized notably thanks to a robust microwave-activated one-step sequence for the synthesis of the oxadiazole ring that involved the O-acylation of an amidoxime and subsequent cyclization. The synthetized compounds, with various hydrophobic substituents on the oxadiazole ring, were tested against the MraYAA transferase activity. Although with poor antibacterial activity, nine out of the ten compounds revealed the inhibition of the MraYAA activity in the range of 0.8 µM to 27.5 µM.
Phylotypic Profiling, Distribution of Pathogenicity Island Markers, and Antimicrobial Susceptibility of Escherichia coli Isolated from Retail Chicken Meat and Humans
Authors: Sadat Asmaa , Ramadan Hazem , Elkady Mohamed , Hammad Amal , Soliman Mohamed , Aboelenin Salama , Al-Harthi Helal , Abugomaa Amira , Elbadawy Mohamed , Awad Amal
Published: September 2022

Escherichia coli (E.coli) found in retail chicken meat could be causing a wide range of infections in humans and constitute a potential risk. This study aimed to evaluate 60 E. coli isolates from retail chicken meat (n = 34) and human urinary tract infections (UTIs, n = 26) for phylogenetic diversity, presence of pathogenicity island (PAI) markers, antimicrobial susceptibility phenotypes, and antimicrobial resistance genes, and to evaluate their biofilm formation capacity. In that context, confirmed E.coli isolates were subjected to phylogrouping analysis using triplex PCR, antimicrobial susceptibility testing using the Kirby–Bauer disc diffusion method; PAI distribution was investigated by using two multiplex PCRs. Most of the chicken isolates (22/34, 64.7%) were identified as commensal E. coli (A and B1), while 12 isolates (35.3%) were classified as pathogenic virulent E. coli (B2 and D). Similarly, the commensal group dominated in human isolates. Overall, 23 PAIs were detected in the chicken isolates; among them, 39.1% (9/23) were assigned to group B1, 34.8% (8/23) to group A, 4.34% (1/23) to group B2, and 21.7% (5/23) to group D. However, 25 PAIs were identified from the human isolates. PAI IV536 was the most prevalent (55.9%, 69.2%) PAI detected in both sources. In total, 37 (61.7%) isolates of the chicken and human isolates were biofilm producers. Noticeably, 100% of E. coli isolates were resistant to penicillin and rifamycin. Markedly, all E. coli isolates displayed multiple antibiotic resistance (MAR) phenotypes, and the multiple antibiotic resistance index (MARI) among E. coli isolates ranged between 0.5 and 1. Several antibiotic resistance genes (ARGs) were identified by a PCR assay; the sul2 gene was the most prevalent (38/60, 63.3%) from both sources. Interestingly, a significant positive association (r = 0.31) between biofilm production and resistance to quinolones by the qnr gene was found by the correlation analysis. These findings were suggestive of the transmission of PAI markers and antibiotic resistance genes from poultry to humans or humans to humans through the food chain. To avoid the spread of virulent and multidrug-resistant E. coli, intensive surveillance of retail chicken meat markets is required.
Prediction of Potential Natural Antibiotics Plants Based on Jamu Formula Using Random Forest Classifier
Authors: Nasution Ahmad Kamal , Wijaya Sony Hartono , Gao Pei , Islam Rumman Mahfujul , Huang Ming , Ono Naoaki , Kanaya Shigehiko , Altaf-Ul-Amin Md.
Published: September 2022

Jamu is the traditional Indonesian herbal medicine system that is considered to have many benefits such as serving as a cure for diseases or maintaining sound health. A Jamu medicine is generally made from a mixture of several herbs. Natural antibiotics can provide a way to handle the problem of antibiotic resistance. This research aims to discover the potential of herbal plants as natural antibiotic candidates based on a machine learning approach. Our input data consists of a list of herbal formulas with plants as their constituents. The target class corresponds to bacterial diseases that can be cured by herbal formulas. The best model has been observed by implementing the Random Forest (RF) algorithm. For 10-fold cross-validations, the maximum accuracy, recall, and precision are 91.10%, 91.10%, and 90.54% with standard deviations 1.05, 1.05, and 1.48, respectively, which imply that the model obtained is good and robust. This study has shown that 14 plants can be potentially used as natural antibiotic candidates. Furthermore, according to scientific journals, 10 of the 14 selected plants have direct or indirect antibacterial activity.
The Impact of Antibiotics Administration on Mortality for Time in Sepsis and Septic Shock Patients including Possible Reasons for Delayed Administration in Malaysia
Authors: Arulappen Ann L. , Danial Monica , Ng Ling Wei , Teoh Jui Chang
Published: September 2022

The 2017 Surviving Sepsis Campaign guidelines endorse a focus on the rapidity of treatment once sepsis has been identified, with a strong recommendation for the administration of antimicrobial drugs within one hour; however, the quality of the supporting evidence is evaluated as moderate. This study was conducted for six months prospectively at a single center in an intensive care unit (ICU) from March 2020 to August 2020. All the patients, regardless of their age and gender, admitted into ICU who had their first episode of sepsis or septic shock concomitantly started on a broad-spectrum antibiotic given intravenously. For patients who had multiple episodes of sepsis throughout the study period, data from the very first episode of the sepsis were included in this study. Of all the 78 patients, only 38 (48.7%) received the antibiotics prescribed within an hour. The compliance rate as per the Surviving Sepsis Campaign was only 51.3%, which accounted for 40 patients. The overall survival rate was 60.3%. This study revealed that delayed antibiotics administration (more than an hour) significantly affects mortality.
Dietary EVOO Polyphenols and Gut Microbiota Interaction: Are There Any Sex/Gender Influences?
Authors: D’Archivio Massimo , Santangelo Carmela , Silenzi Annalisa , Scazzocchio Beatrice , Varì Rosaria , Masella Roberta
Published: September 2022

Accumulating evidence indicates that regular consumption of extra virgin olive oil (EVOO), the main source of fat in the Mediterranean diet, is associated with beneficial health effects and a reduced risk of developing chronic degenerative disorders. The beneficial effects of EVOO can be attributed to its unique composition in monounsaturated fats and phenolic compounds that provide important antioxidant, anti-inflammatory, and immune-modulating activities. On the other hand, it is well known that the gut microbiota has several important roles in normal human physiology, and its composition can be influenced by a multitude of environmental and lifestyle factors, among which dietary components play a relevant role. In the last few years, the two-way interaction between polyphenols, including those in EVOO, and the gut microbiota, i.e., the modulation of the microbiota by polyphenols and that of polyphenol metabolism and bioavailability by the microbiota, has attracted growing attention, being potentially relevant to explain the final effects of polyphenols, as well as of the microbiota profile. Furthermore, sex and gender can affect dietary habits, polyphenol intake, and nutrient metabolism. Lastly, it has been recently suggested that differences in gut microbiota composition could be involved in the unequal incidence of metabolic diseases observed between women and men, due to sex-dependent effects on shaping gut microbiota profiles according to diet. This review summarizes the most recent studies on the relationship between EVOO polyphenols and the gut microbiota, taking into account possible influences of sex and gender in modulating such an interaction.
Novel Insights into Understanding the Molecular Dialogues between Bipolaroxin and the Gα and Gβ Subunits of the Wheat Heterotrimeric G-Protein during Host–Pathogen Interaction
Authors: Malviya Deepti , Singh Udai B. , Dehury Budheswar , Singh Prakash , Kumar Manoj , Singh Shailendra , Chaurasia Anurag , Yadav Manoj Kumar , Shankar Raja , Roy Manish , Rai Jai P. , Mukherjee Arup K. , Solanki Ishwar Singh , Kumar Arun , Kumar Sunil , Singh Harsh V.
Published: September 2022

Spot blotch disease of wheat, caused by the fungus Bipolaris sorokiniana (Sacc.) Shoem., produces several toxins which interact with the plants and thereby increase the blightening of the wheat leaves, and Bipolaroxin is one of them. There is an urgent need to decipher the molecular interaction between wheat and the toxin Bipolaroxin for in-depth understanding of host–pathogen interactions. In the present study, we have developed the three-dimensional structure of G-protein alpha subunit from Triticum aestivum. Molecular docking studies were performed using the active site of the modeled G-protein alpha and cryo-EM structure of beta subunit from T. aestivum and ‘Bipolaroxin’. The study of protein–ligand interactions revealed that six H-bonds are mainly formed by Glu29, Ser30, Lys32, and Ala177 of G-alpha with Bipolaroxin. In the beta subunit, the residues of the core beta strand domain participate in the ligand interaction where Lys256, Phe306, and Leu352 formed seven H-bonds with the ligand Bipolaroxin. All-atoms molecular dynamics (MD) simulation studies were conducted for G-alpha and -beta subunit and Bipolaroxin complexes to explore the stability, conformational flexibility, and dynamic behavior of the complex system. In planta studies clearly indicated that application of Bipolaroxin significantly impacted the physio-biochemical pathways in wheat and led to the blightening of leaves in susceptible cultivars as compared to resistant ones. Further, it interacted with the Gα and Gβ subunits of G-protein, phenylpropanoid, and MAPK pathways, which is clearly supported by the qPCR results. This study gives deeper insights into understanding the molecular dialogues between Bipolaroxin and the Gα and Gβ subunits of the wheat heterotrimeric G-protein during host–pathogen interaction.
Numerical Analysis of Blast Effects and Mitigation in the Far-Field from Small Explosions
Authors: Taylor Adam G.
Published: September 2022

Requirements for explosive safety are often given in terms of a “K-Factor”, correlating incident blast effects with the distance and TNT equivalent weight of an explosion. Traditionally, this is conducted using empirical correlations to experimental measurements (e.g., the Kingery–Bulmash equations). In the far-field, empirical verification of incident overpressure and impulse magnitudes can be difficult; extrapolations from data give expected values at reasonable standoff distances that sometimes are too small to measure on available equipment but are larger than some regulations require. The present paper describes the results of numerical hydrocode analysis to verify the expected incident overpressure and impulse from small hemispherical ground charges of TNT at these relatively large distances. Furthermore, the dynamic effect of incident blast waves on lightweight, modular mitigation barriers is studied to gauge their effectiveness at providing safety standard compliance.
Tunnel Configurations and Seismic Isolation Optimization in Underground Gravitational Wave Detectors
Authors: Amann Florian , Badaracco Francesca , DeSalvo Riccardo , Naticchioni Luca , Paoli Andrea , Paoli Luca , Ruggi Paolo , Selleri Stefano
Published: September 2022

The Einstein Telescope will be a gravitational wave observatory comprising six nested detectors, three optimized to collect low-frequency signals, and three for high frequency. It will be built a few hundred meters under Earth’s surface to reduce direct seismic and Newtonian noise. A critical issue with the Einstein Telescope design are the three corner stations, each hosting at least one sensitive component of all six detectors in the same hall. Maintenance, commissioning, and upgrade activities on a detector will cause interruptions of the operation of the other five, in some cases for years, thus greatly reducing the Einstein Telescope observational duty cycle. This paper proposes a new topology that moves the recombination and input–output optics of the Michelson interferometers, the top stages of the seismic attenuation chains and noise-inducing equipment in separate excavations far from the tunnels where the test masses reside. This separation takes advantage of the shielding properties of the rock mass to allow continuing detection with most detectors even during maintenance and upgrade of others. This configuration drastically improves the observatory’s event detection efficiency. In addition, distributing the seismic attenuation chain components over multiple tunnel levels allows the use of effectively arbitrarily long seismic attenuation chains that relegate the seismic noise at frequencies farther from the present low-frequency noise budget, thus keeping the door open for future upgrades. Mechanical crowding around the test masses is eliminated allowing the use of smaller vacuum tanks and reduced cross section of excavations, which require less support measures.
Numerical Study on the Effect of Deposit Layer on the Minimum Wall Thickness of Boiler Water Tube under Different Operating Conditions
Authors: Aljohani Ahmed S. , Ahmed Khaled I. , Asiri Saeed , Ahmed Mohamed H.
Published: September 2022

Water wall tube temperature is a major parameter in the steam generator design which has a significant role in keeping the steam generator available. Thus, knowing the tube average temperature in different operating conditions is very important to avoid the causes of tube failures. High temperatures are a major cause of various types of failures, such as overheating, hydrogen damage, thermal stress, etc. Furthermore, deposits on the inner tube wall contribute to such failure by changing the thermal resistance of the tube wall, which causes a significant increase in the tube wall’s average temperature, consequently lowering the allowable stress. Therefore, the model was created by using ANSYS FLUENT (Canonsburg, PA, USA) to determine the wall average water tube wall temperature considering the deposit layer thickness (magnetite). Furthermore, this model was verified. It was found that increasing tube thickness can increase the average tube temperature but combining it with increasing deposit thickness leads to higher temperatures. In other words, the effect of the deposit on the tube with higher thickness is higher than on the tube with lower thickness. By discussing the minimum thickness of the water wall tube, the suitable selection of the tube thickness and courses of action concerning the operating conditions that minimize the potential overheating of water tubes in the furnace section of the boiler can be determined.
Anti-Atopic Dermatitis Activity of Cornus walteri and Identification of the Bioactive Compounds
Authors: Lee Bum Soo , Cho Ye-Ryeong , Jeong Minju , Jang Yoon Seo , Kim Jin-Chul , Byun Sanguine , Kim Ki Hyun
Published: September 2022

Atopic dermatitis (AD) is a chronic inflammatory disease characterized by hyperactivated immune reactions in the skin. AD is a prevalent health concern in developing countries, with a particularly high incidence among children. Despite ongoing research on AD, prevention and treatment strategies for patients remain inadequate. In this study, the inhibitory effects of Cornus walteri on AD were investigated. C. walteri (Cornaceae), commonly known as “Walter’s dogwood,” is a deciduous shrub used as a traditional medicine to treat dermatologic inflammation caused by lacquer poisoning. However, the role of C. walteri in AD remains largely unknown. To evaluate its anti-AD potential, we investigated the anti-inflammatory activity of the MeOH extract of C. walteri stems (CWS) using the HaCaT human keratinocyte cell line. CWS reduced the secretion of AD-related chemokines, eotaxin-3/CCL26 and thymus and activation-regulated chemokine (TARC/CCL17). In addition, CWS also inhibited the mRNA expression of macrophage-derived chemokine (MDC/CCL22) and upregulated filaggrin, which plays an essential role in skin barrier functions. To identify the bioactive constituents of CWS, phytochemical investigation of CWS led to the isolation of potential bioactive constituents (1–6), including four triterpenoids, one steroid and one diterpene analog, the structures of which were identified as lupeol (1), betulinic acid (2), 5α-stigmast-3,6-dione (3), 3-O-acetylbetulin (4), betulinic acid methyl ester (5) and norphytan (6) through nuclear magnetic resonance (NMR) spectroscopy and liquid chromatography (LC)–mass spectrometry (MS) analysis. The isolated compounds (1–6) were evaluated for their inhibitory activities against eotaxin-3 expression. Compounds 1, 2 and 3 significantly reduced the levels of eotaxin-3. These findings provided experimental evidence that CWS, particularly active compounds 1, 2 and 3, could be further utilized as potential therapeutic agents to treat AD.
Stressing State Analysis of SRC Column with Modeling Test and Finite Element Model Data
Authors: Shen Zijie , Liu Bai , Zhou Guangchun
Published: September 2022

This paper reveals the failure characteristic points of the spiral reinforced column during the damage process by modeling and analyzing the stressing state of the column with the test and finite element output data. At the same time, the structural stressing state theory and the correlation modeling analysis method’s applicability to spiral reinforced concrete columns are verified. First, a finite element model was established based on the literature’s spiral reinforced concrete column tests. Then, correlation modeling was performed on the test strain data to obtain correlation characteristic pairs (mode-characteristic parameters), and stressing state modeling was performed on the internal energy and element strain energy data from the finite element model to obtain stressing state characteristic pairs. The slope increment criterion is applied to the obtained stressing state characteristic parameter curves to reveal the characteristic point Q, defined as the failure starting point. The reasonableness of the failure starting point is further verified by observing the cloud diagram of the finite element model in the vicinity of the characteristic point Q. In general, the correlation modeling method proposed in this paper can provide a new reference for structural stressing state analysis. In addition, the failure starting point of spiral reinforced concrete columns revealed in this paper can be used as a design reference.
First-Principles Investigation of the Shear Properties and Sliding Characteristics of c-ZrO2(001)/α-Al2O3(11¯02) Interfaces
Authors: Bao Zeying , Shang Fulin
Published: September 2022

The ideal mechanical shear properties and sliding characteristics of c-ZrO2(001)/α-Al2O3(11¯02) interfaces are examined through simulated shear deformations using first-principles calculations. We investigate three types of interface models, abbreviated as O-, 2O-, and Zr- models, when shear displacements are applied along the <11¯01> and <112¯0> directions of their Al2O3 lattice. The theoretical shear strength and unstable stacking energy of the ZrO2/Al2O3 interfaces are discussed. In the process of the ZrO2/Al2O3 interfacial shear deformation, we find that the sliding of the ZrO2 atomic layers, accompanied by the shifting of Zr atoms and Al atoms near the interface, plays a dominant role; in addition, the ZrO2/Al2O3 interfaces fail within the ZrO2 atomic layer. Among the three models, the O- model exhibits the strongest shear resistance; whereas the Zr- model is the most prone to slip. Furthermore, their tensile and shear strengths are compared; moreover, their potential applications are provided.
Research on Strawberry Cold Chain Transportation Quality Perception Method Based on BP Neural Network
Authors: Qiao Jiping , Guo Meicen , Wu Yuan , Gao Jin , Yue Zichen
Published: September 2022

Post-harvest strawberries are hard to store and can easily rot during cold chain transportation (CCT). This leads to considerable economic losses. This paper proposes a strawberry quality perception method used in CCT, based on the correlation between environmental parameters and strawberry quality parameters. The proposed method constructs a shelf-life prediction model based on a back propagation (BP) neural network, using four kinds of environmental parameters, including temperature, humidity, oxygen, and carbon dioxide, to perceive the quality of post-harvest strawberries, and builds a cold chain transportation quality perception system (CCT-QPS) with the help of LabVIEW software for monitoring the cold chain environment and commodity quality constantly. The results showed that the proposed method could precisely predict the remaining shelf-life of post-harvest strawberries. In addition, the proposed system could reflect the vehicle operation in real time, such as commodity quality and the internal environment of transport carriages. Moreover, the quality perception approach can inform decision making for managers and effectively improve the related regulatory measures in the strawberry supply chain.