bluuebunny/crossref_metadata_2025 huggingface dataset:
Organized violence as a never-ending story? Reflections in light of the Russian aggression against Ukraine
Authors: Pries Ludger
Published: August 2022

During the last decade, especially with the Russian aggression against Ukraine, armed conflicts and other forms of organized violence increased in volume and public discourse. In Sociology, violence and, particularly organized violence were marginalized topics for a long time, not least because many sociologists considered violence as a relic of traditional societies. Based on an analysis of major sociological studies and an empirical analysis of violence-related mass data, we argue that (1) violence and organized violence are not vanishing, but are genuine components of human coexistence, (2) especially in Europe, we experienced (or at least perceived) some seven decades of living in social spaces without high levels of violence, (3) other world regions are violence-intensive social spaces for generations, and (4) in light of the aggression of Russian troops against Ukraine and further challenges to come, Sociology should intensify theoretical and empirical efforts in this field of research. We first sketch out some recent trends of organized violence and related social science debates, then summarize important sociological concepts of violence and organized violence, propose to differentiate betweennot violence-intensive social spaces(NoViSS) andviolence-intensive social spaces(ViSS) and exemplify this distinction by some global data, and finally draw some conclusions for further research on organized violence in selected fields like forced migration.
Soil-biodegradable mulch is an alternative to non-biodegradable plastic mulches in a strawberry-lettuce double-cropping system
Authors: Wang Xuechun , Shrestha Srijana , Tymon Lydia , Zhang Huan , Miles Carol , DeVetter Lisa
Published: August 2022

Double-cropping strawberry (Fragaria × ananassa Duch.) and lettuce (Lactuca sativa L.) could be a sustainable alternative practice for diversified specialty crop growers. Plastic mulch is beneficial for strawberry and lettuce production with soil-biodegradable mulch (BDM) providing opportunities to reduce plastic waste generation and costs of mulch disposal. The objective of this study was to compare non-biodegradable plastic mulches and BDM to bare ground cultivation in a strawberry–lettuce double-cropping system in a Mediterranean climate. A split-plot randomized complete block design experiment with mulch treatment [non-biodegradable polyethylene (PE) film, “weedmat” (woven, PE-based), BDM, and bare ground control] as the main factor and double-cropping rotation scheme (rotation 1 or 2) as the split-plot factor was conducted between 2020 and 2021. Strawberry yield was overall greatest when mulched with BDM, PE, and weedmat compared to the bare ground control. Total soluble solids (TSS), pH, and total titratable acidity (TA) of strawberry differed due to harvest date, but only pH differed due to mulch treatment. For lettuce canopy cover, rotation 2 had greater canopy cover (86%) compared with rotation 1 (66%) 30 days after transplanting. Average head weight (0.4 kg) and head length and diameter (both 20 cm) did not differ due to mulch or rotation. Average soil temperatures under PE and BDM were ~1.5°C higher than under weedmat and 2.5°C higher than the bare ground control. Soil under weedmat had the highest moisture content, whereas the PE, BDM, and bare ground treatments had similar levels. PE, BDM, and weedmat provided equivalent weed suppression, whereas the bare ground control had the most weeds. BDM deterioration estimated as percent soil exposure (PSE) was greatest (59% PSE) by the end of the experiment, whereas PE had 18% PSE and weedmat had no deterioration. Results show that despite high levels of deterioration, BDM performs similarly to PE in terms of soil temperature and moisture modification, weed suppression, and promotion of crop growth and yield in a double-cropped system. Double-cropping strawberry and lettuce is a promising alternative for growers to diversify their crop type and with potential economic benefits by increasing mulch lifespan.
Vitamin contents and antioxidant capacity of hydroponic grown sweet basil inoculated with endophytic bacteria
Authors: Campos Espinosa Gabriela Y. , Dörr de Quadros Patricia , Fulthorpe Roberta R. , Tsopmo Apollinaire
Published: August 2022

The aim of this study was to assess the effect of inoculated endophytic bacteria on the concentrations of vitamins E (tocopherols), K (phylloquinone), B1 (thiamine), B2 (riboflavin), C (ascorbic acid) and the peroxyl radical scavenging capacity of hydroponically grown sweet basil. Endophytic strains were all isolated from hydrocarbon-stressed herbaceous plants or from basil showing superior growth. Plants inoculated with the endophytes displayed up to 40% increase (p < 0.05) in the concentration of the reduced form of vitamin C relative to control [0.56 mg/g fresh weight (FW)] which indicated less oxidative stress in the presence of endophytes. In the case of γ-tocopherol, the highest content [25.8 μg/g of fresh weight (FW)] in inoculated basils was significantly higher compared to control plants (18.5 ± 1.2 μg/g FW) (p < 0.05). Antioxidant activity (ROO∙ radicals scavenging) was as high as 94 ± 4 μM Trolox equivalents (TE)/g FW vs. 53 ± 5 μM TE/g FW for the control basil. Concentrations of vitamins C, B1, and B2 were not affected by most strains. The results showed that endophytic bacteria have the capacity to alter free radical quenching capacity and vitamin concentrations in basil plants and, that their effect is strain and nutrient dependent.
Whether the start time of elective lung surgery impacts perioperative outcomes and cost?
Authors: A-Lai Gu-Ha , Hu Jian-Rong , Xu Zhi-Jie , Yao Peng , Zhong Xia , Wang Yu-Cheng , Lin Yi-Dan
Published: August 2022

Background

Fatigue and the long work hours of surgeons have attracted increasing concern in recent years. We aimed to explore whether starting time was associated with perioperative outcomes and cost for elective lung surgery.

Methods

A retrospective study was conducted on elective lung surgery patients at a high surgery-volume center between September 2019 and November 2019. Patients were divided into the “early start group” if the surgery start time was before 4 post meridiem (pm), while the “late start group” was defined as surgery started after 4 pm. Perioperative outcomes and total hospital costs were compared between the two groups. In addition, multivariable logistic regression analysis was performed to identify whether start time was a risk factor for postoperative hospital duration, total hospital cost and length of operation time.

Results

A total of 398 patients were finally enrolled for analysis in this study. Of all the cases, 295 patients were divided into the early start group, while 103 patients belonged to the late start group. Baseline characteristics were all comparable between the two groups. Concerning Regarding outcomes, there were no differences in postoperative hospital duration, operation time, complication incidence or and other outcomes, while the total hospital cost tended to be different but still not significantly different without statistical significance (P = 0.07). In multivariable logistic regression analysis, surgery starting late was still not found to be a risk factor for long postoperative hospital duration, high hospital cost and long surgery time.

Conclusion

In elective lung surgery, perioperative outcomes and costs were similar between the early- and late-start groups, and it was not necessary to worry about the surgery order for these patients.
Influence of different fixation modes on biomechanical conduction of 3D printed prostheses for treating critical diaphyseal defects of lower limbs: A finite element study
Authors: Liu Bingchuan , Lv Yang , Li Xingcai , Liu Zhongjun , Zheng Yufeng , Wen Peng , Liu Ning , Huo Yaping , Zhou Fang , Tian Yun
Published: August 2022

Background

Applying 3D printed prostheses to repair diaphyseal defects of lower limbs has been clinically conducted in orthopedics. However, there is still no unified reference standard for which the prosthesis design and fixation mode are more conducive to appropriate biomechanical conduction.

Methods

We built five different types of prosthesis designs and fixation modes, from Mode I to Mode V. Finite element analysis (FEA) was used to study and compare the mechanical environments of overall bone-prosthesis structure, and the maximum stress concentration were recorded. Additionally, by comparing the maximum von Mises stress of bone, intramedullary (IM) nail, screw, and prosthesis with their intrinsic yield strength, the risk of fixation failure was further clarified.

Results

In the modes in which the prosthesis was fixed by an interlocking IM nail (Mode I and Mode IV), the stress mainly concentrated at the distal bone-prosthesis interface and the middle-distal region of nail. When a prosthesis with integrally printed IM nail and lateral wings was implanted (Mode II), the stress mainly concentrated at the bone-prosthesis junctional region. For cases with partially lateral defects, the prosthesis with integrally printed wings mainly played a role in reconstructing the structural integrity of bone, but had a weak role in sharing the stress conduction (Mode V). The maximum von Mises stress of both the proximal and distal tibia appeared in Mode III, which were 18.5 and 47.1 MPa. The maximum peak stress shared by the prosthesis, screws and IM nails appeared in Mode II, III and I, which were 51.8, 87.2, and 101.8 MPa, respectively. These peak stresses were all lower than the yield strength of the materials themselves. Thus, the bending and breakage of both bone and implants were unlikely to happen.

Conclusion

For the application of 3D printed prostheses to repair diaphyseal defects, different fixation modes will lead to the change of biomechanical environment. Interlocking IM nail fixation is beneficial to uniform stress conduction, and conducive to new bone regeneration in the view of biomechanical point. All five modes we established have reliable biomechanical safety.
Comparison of four different hematocrit assays and the effect of albumin on their measurements
Authors: Pare Amelie , Kippen Laura , Wagg Catherine , Longmore Matt , Boysen Soren
Published: August 2022

Clinical decisions are influenced by hematocrit values. Centrifugation (reference standard), conductivity, optical and impedance methods are often used interchangeably to measure hematocrit. The effects of albumin, which are known to affect conductivity methods, have not been evaluated for limits of agreement (LOA) between hematocrit assays in small animals. Canine venous blood was collected from 74 clinical cases and measured by centrifugation (n = 72), conductivity (n = 73), impedance (n = 24) and optical (n = 50) methods. Bland-Altman analysis determined bias (± SD) and 95% LOA between methods. There was a statistically significant difference between centrifugation hematocrit values and values obtained via conductivity (p < 0.0001), optical (p < 0.0001), and impedance (p = 0.0082) methods. The conductivity method underestimated hematocrit by 2.1 ± 2.9% (95% LOA −3.54 to 7.88), the optical method by 3.1 ± 3.6% (95% LOA −4.0 to 10.2), and the impedance method by 2.3 ± 3.7% (95% LOA −5 to 9.6) when compared to centrifuged hematocrit values. The hematocrit difference between conductivity and centrifugation methods was statistically different for low (4%, 0–5%), within reference limits (3%, −5 to 8%), and high (2%, −2 to 5%) albumin values, respectively (p = 0.02), with post-hoc analysis demonstrating that the difference occurred between the low and high albumin groups. This study confirms that albumin values outside reference limits can affect the conductivity method and that hematocrit values obtained via conductivity, optical and impedance methods underestimate values obtained via centrifugation. Therefore, the hematocrit methods cannot be used interchangeably. The wide limits of agreement also demonstrates that care must be taken when making clinical decisions with different hematocrit methodologies.
Case report: Lympho-histiocytic meningoencephalitis with central nervous system vasculitis of unknown origin in three dogs
Authors: Zdora Isabel , Raue Jonathan , Söbbeler Franz , Tipold Andrea , Baumgärtner Wolfgang , Nessler Jasmin Nicole
Published: August 2022

Meningoencephalitis of unknown origin (MUO) is an umbrella term for a variety of subtypes of meningoencephalitis of dogs and cats with no identifiable infectious agent. In dogs, granulomatous meningoencephalitis (GME), necrotizing meningoencephalitis (NME), and necrotizing leukoencephalitis (NLE) are the most commonly reported subtypes. However, sporadically there are reports about other subtypes such as greyhound encephalitis or eosinophilic meningoencephalitis. The following case series presents three dogs with peracute to acute progressive signs of encephalopathy. The magnetic resonance imaging (MRI) of two dogs (post mortem n = 1/2) showed severe, diffuse swelling of the cortical gray matter with increased signal intensity in T2weighted (w) and fluid-attenuated inversion recovery (FLAIR) and decreased signal intensity in T1w. Additionally, focal to multifocal areas with signal void in both dogs and caudal transforaminal herniation of the cerebellum in one dog was observed. Post mortem histopathological examination revealed lympho-histiocytic encephalitis and central nervous system (CNS) vasculitis in all dogs. No infectious agents were detectable by histopathology (hematoxylin and eosin stain), periodic acid-Schiff reaction (PAS), Ziehl-Neelsen stain and immunohistochemistry for Canine adenovirus-1, Parvovirus, Listeria monocytogenes, Parainfluenzavirus, Toxoplasma gondii, Herpes-suis virus, Pan-Morbillivirus, Tick born encephalitis virus, Severe acute respiratory syndrome coronavirus (SARS-CoV) 2. Furthermore, two dogs were tested negative for rabies virus. To the best of the authors' knowledge, this is the first report of a lympho-histiocytic encephalitis with CNS vasculitis with no identifiable infectious agent. It is suggested to consider this as an additional subtype of MUO with severe clinical signs.
Relationship of Exclusion From Physical Education and Bullying in Students With Specific Developmental Disorder of Scholastic Skills
Authors: Jesina Ondrej , Baloun Ladislav , Kudlacek Martin , Dolezalova Aneta , Badura Petr
Published: August 2022

Objectives: This study aimed to analyze the relationships among exclusion from PE, gender, and bullying in adolescents with specific developmental disorder of scholastic skills (SDDSS) aged 11, 13, and 15 years in Czechia.

Methods: In total, the final research sample consisted of 13,953 students (49.4% boys) from the 2013/2014 Health Behaviour in School-aged Children survey. Chi-square tests and regression models stratified by presence of SDDSS diagnosis were used to assess the relationships between non-involvement in PA and bullying.

Results: Students diagnosed with SDDSS (12.4% of the sample) were more likely to be excluded from physical education (PE) than students without this diagnosis. This exclusion was associated with higher odds of bullying victimization and perpetration. Our findings further showed that male gender plays a significant role for bullying perpetration for both groups (with and without SDDSS) investigated in the present study.

Conclusion: Higher likelihood of aggressive behavior occurs in students who are excluded from PE, including students with SDDSS.
Improving the Pharmacists’ Response to Public Health Emergencies—Documentary Research on Online Resources Provided by National Pharmacists’ Associations
Authors: Toma Alexandra , Crişan Ofelia
Published: August 2022

Objectives: Given the expanding role of pharmacists during COVID-19 pandemic, we aimed to investigate the approach of professional associations to supporting their practice and to find ways to improve their response to public health emergencies.

Methods: We conducted documentary research on websites of seven national pharmacists’ associations, submitted the findings to a comparative thematic analysis, and made proposals of specific good practices.

Results: Many great resources were provided by pharmacists’ associations in Australia, France, Spain, and the US. The similarities include scientific information on COVID-19 tests, treatments and vaccines, legal issues, and wellbeing management. The main differences were in developing medication management programs, supporting hospital pharmacists, helping families, or advocating for an equitable vaccination. In Finland, Hungary and Romania, the focus was on updating emerging information. Considering the need for better managing public health emergencies at organizational level, we suggested good practices regarding training and communication.

Conclusion: Professional associations should develop preparedness and response plans for public health emergencies. Practical training and effective communication could improve the resilience of pharmacists and patients during pandemics, which could save lives.
Leading-Edge Vortex Lift (LEVL) Sample Probe for Venusian Atmosphere
Authors: Isaac Christopher , Jones Nick
Published: August 2022

Can a small, lightweight, free-falling sample probe be slowed enough in the Venusian atmosphere to run a 10 min microelectromechanical systems (MEMS) ion gas micro spectrometer, without adding a propulsion systems or explosives and parachutes to the probe mass? To meet this requirement a leading-edge vortex lift (LEVL) autorotating probe design (i.e., maple or sycamore seed shape) has been proposed and evaluated. It has been found that a probe with a total mass of less than 1 kg would allow prolonged flight longer than 15 min. Mathematical modelling and physical scale model testing has been performed to show that this flight time is achievable, allowing MEMS ion gas micro-spectrometer sampling of the Venusian atmosphere.
Nutritional Values and In Vitro Fermentation Characteristics of 29 Different Chinese Herbs
Authors: Xiao Lichun , Yi Siyu , Azad Md. Abul Kalam , Huang Mingqian , Guo Xiaoquan , Kong Xiangfeng
Published: August 2022

The present study evaluated the nutritional values and in vitro fermentation characteristics of 29 different Chinese herbs in order to develop effective feed additives for livestock nutrition. The Chinese herbs were analyzed for their chemical composition. The in vitro fermentation characteristics were evaluated using the gas production technique with swine cecal chyme inoculum. The results showed that the Allium tuberosum Rottl (Semen allii tuberosi, SAT) had the highest gross energy (GE), crude protein (CP), ether extract (EE), and total amino acid (TAA) contents, whereas Anemones raddeanae Rhizoma (Agstache rugosus, AR) had the highest crude fiber, neutral detergent fiber, and acid detergent fiber contents compared with the other Chinese herbs. The Rhus chinensis Mill (Chinese gall, CG), Scrophularia ningpoensis Hemsl (Radix scrophulariae, RS), Punica granatum L (Punica granatum L, PGL), Atractylodes macrocephala Koidz (White atractylodes rhizome, WAR), Sanguisorbae radix (Garden burnet, GB), Anemarrhena asphodeloides Bunge (Rhizoma anemarrhenaw, RA), and Rhei radix Et Rhizoma (Rheum officinale, RO) had a higher non-fiber carbohydrate content than the other Chinese herbs. The in vitro fermentation kinetic analysis showed that the RS, WAR, and RA had a higher gas production, a theoretical gas production, and a fractional rate of gas production than the other groups. Furthermore, the RA, WAR, RS, and Crataegi fructus (Crataegus pinnatifida Bun, CPB) had a higher total short-chain fatty acids (SCFAs) concentration, and CPB had the highest acetate concentration, whereas the WAR and RS had higher propionate and butyrate concentrations than the other groups. Moreover, the Isatis indigotica Fort (Folium isatidis, FI) and SAT had higher ammonia-N concentration than the other groups. In summary, among the 29 different Chinese herbs, the SAT had the highest nutritional value, which is reflected in the highest contents of GE, CP, EE, and TAA, whereas the RA, WAR, and RS showed better intestinal fermentation profiles, which is reflected in the higher fermentation degree and suitable SCFAs fermentation pattern. These findings provide a theoretical basis for using Chinese herbs as feed additives or microbial carbon sources in the intestines of animals.
Design of High-Efficiency Soil-Returning Liquid Fertilizer Deep-Application Furrow Openers for Improving Furrowing Performance in Cold Regions of Northeast China
Authors: Zhou Wenqi , Song Chao , Sun Xiaobo , Liu Ziming , Ni Xue , Shen Kangjia , Wang Yi Jia , Tian Liquan
Published: August 2022

Liquid-fertilizer deep-application techniques are techniques for applying fertilizers to the root system of crops, which can effectively improve the utilization rate of fertilizers and reduce application amounts. Due to the soil viscosity of soils in the cold region of Northeast China, the soil return rate of furrow openers for liquid-fertilizer deep applications is low, which can easily cause excessive volatilizations of liquid fertilizers. Therefore, aiming at the operational requirements of low soil disturbance for liquid-fertilizer furrowing and deep applications, an efficient soil-returning liquid-fertilizer deep-application furrow opener was innovatively designed based on soil characteristics during the inter-cultivation period in the cold region of Northeast China. The discrete element method (DEM) was used to analyze the operating performance of the high-efficiency soil-returning liquid-fertilizer deep-application furrow openers, which is determined by key operating parameters including width and slip cutting angle. The DEM Virtual Simulation Experiment results show that the optimal combination is the width of 37.52 mm and a slip cutting angle of 43.27°, and the test results show that the optimal performance of the high-efficiency soil-returning liquid-fertilizer deep-application furrow opener is that the soil disturbance rate is 51.81%, and the soil-returning depth is 52.1 mm. This paper clarifies the relationship between the width and the slip cutting angle in furrowing resistance and soil disturbance and the mechanism by which the width and slip cutting angle affect soil disturbance. Above all, this study provides a theoretical and practical reference for the design of liquid-fertilizer deep-application furrow openers.
Evaluating Physicochemical and Sensory Properties of Functional Yogurt Supplemented with Glycyrrhiza Polysaccharide as Potential Replacement for Gelatin
Authors: Guo Dongqi , Yin Xiuxiu , Cheng Huan , Ye Xingqian , Chen Jianle
Published: August 2022

Glycyrrhiza is a well-known plant resource used for the production of extractum-glycyrrhizae; however, large amounts of Glycyrrhiza residues containing polysaccharides are produced, and these have not been well utilized until now. The aim of this study was to evaluate the Glycyrrhiza polysaccharides obtained from Glycyrrhiza residues as a potential gelatin replacer in yogurt. The incorporation of Glycyrrhiza polysaccharide (GP) at different concentrations accelerated the growth of lactic acid bacteria. Similar to the effect of adding gelatin (GE), GP could suitably improve the water-holding capacity (WHC) and texture of the yogurt. Moreover, the yogurt prepared with GP showed a higher viscosity and shorter transverse relaxation time of mobile water (T23) value than the control group (CG). Moreover, the microstructure analysis indicated that the casein network of yogurt with GP was more compact and cohesive than those of others. Yogurt prepared with 0.1% GPs exhibited the best sensory acceptance. The results indicated that small amounts of GPs can effectively replace gelatin as a thickener in yogurt with good quality.
Drone-Computer Communication Based Tomato Generative Organ Counting Model Using YOLO V5 and Deep-Sort
Authors: Egi Yunus , Hajyzadeh Mortaza , Eyceyurt Engin
Published: August 2022

The growth and development of generative organs of the tomato plant are essential for yield estimation and higher productivity. Since the time-consuming manual counting methods are inaccurate and costly in a challenging environment, including leaf and branch obstruction and duplicate tomato counts, a fast and automated method is required. This research introduces a computer vision and AI-based drone system to detect and count tomato flowers and fruits, which is a crucial step for developing automated harvesting, which improves time efficiency for farmers and decreases the required workforce. The proposed method utilizes the drone footage of greenhouse tomatoes data set containing three classes (red tomato, green tomato, and flower) to train and test the counting model through YOLO V5 and Deep Sort cutting-edge deep learning algorithms. The best model for all classes is obtained at epoch 96 with an accuracy of 0.618 at mAP 0.5. Precision and recall values are determined as 1 and 0.85 at 0.923 and 0 confidence levels, respectively. The F1 scores of red tomato, green tomato, and flower classes are determined as 0.74, 0.56, and 0.61, respectively. The average F1 score for all classes is also obtained as 0.63. Through obtained detection and counting model, the tomato fruits and flowers are counted systematically from the greenhouse environment. The manual and AI-Drone counting results show that red tomato, green tomato, and flowers have 85%, 99%, and 50% accuracy, respectively.
Triangular Greenness Index to Evaluate the Effects of Dicamba in Soybean
Authors: Lemes Ernane Miranda , Coelho Lísias , Andrade Samuel Lacerda de , Oliveira Aline dos Santos , Marques Matheus Gregorio , Nascimento Felipe Mauro Assis do , Cunha João Paulo Arantes Rodrigues da
Published: August 2022

Significant losses in agricultural production are due to abiotic stresses, such as herbicide phytotoxicity. Dicamba (diglycolamine salt) is a herbicide used for post-emergent control of broadleaf weeds. It has a possibility to vapor-spread into neighboring fields causing damage to other crops. However, not every stress can be easily identified. Therefore, remote sensing has the potential as a new tool in early injury detection. This study evaluated the effects of simulated dicamba drift on the occurrence of phytotoxicity in soybeans (Glycine max). Soybean was assessed in seven dicamba doses (0, 0.056, 0.56, 5.6, 11.2, 28, 112 g ha−1) for changes in plant injury (scale of notes), spectral aspects (triangular greenness index (TGI), and shoot dry mass. The plants were photographed using a digital camera positioned at 1.2 m above the planting media level. The results indicate a positive effect of low dicamba doses (0.56 and 0.056 g a.e. ha−1) on TGI canopy distinction and shoot dry mass. Soybean TGI canopy distinction and the injury scale estimated at 45 days after sowing, and the soybean shoot dry mass observed at 99 days after sowing, presented significant and moderate Pearson’s r coefficient of correlations (r = −0.609 and 0.625), indicating TGI as a valid and practical spectral index for plant dicamba-injured evaluations.
Factors Influencing the Spatiotemporal Variability in the Irrigation Requirements of Winter Wheat in the North China Plain under Climate Change
Authors: Wang Nan , Wu Jiujiang , Gu Yuhui , Jiang Kongtao , Ma Xiaoyi
Published: August 2022

The North China Plain is a major grain-producing area, but faces water scarcity, which directly threatens food security. The problem is more severe under climate change and the seasonal impact of climate change on winter wheat is different. Thus, it is of great importance to explore the spatiotemporal characteristics of irrigation requirements (IR) and the factors influencing IR in different growth periods of winter wheat, but it has not received much attention. Therefore, we used relative contribution, partial correlation and path analyses to assess the spatiotemporal characteristics of the IR and primary factors influencing the IR of winter wheat in various growing stages in the North China Plain. The results indicated that wind speed and net solar radiation showed a significant downward trend; no prominent trend was noted in IR (multiyear average, 302.3 mm). Throughout the growing season of winter wheat, IR increased gradually from the southern to northern extent of the North China Plain. The irrigation demand of winter wheat in stage P2 (green-up to heading) was the largest. Furthermore, the dominant drivers of IR in terms of spatial distribution and inter-annual variation were phenological period (Phe), effective precipitation (Pe) and relative humidity (RH); however, the degree of their effects varied across the growth stages and growing regions of winter wheat. Each factor exerted both direct and indirect effects on IR and Phe exhibited the strongest indirect effect on IR. The major factors contributing most to IR were Pe and RH in the P1 stage (sowing to green-up) and Phe, Pe and RH in the P2 and P3 (heading to maturity) stages. Pe and RH limited IR, whereas Phe promoted it. Our findings will help improve agricultural water management in the future.
Occidiofungin: Actin Binding as a Novel Mechanism of Action in an Antifungal Agent
Authors: Hansanant Nopakorn , Smith Leif
Published: August 2022

The identification and development of natural products into novel antimicrobial agents is crucial to combat the rise of multidrug-resistant microorganisms. Clinical fungal isolates have been identified, which have shown resistance to all current clinical antifungals, highlighting a significant need to develop a novel antifungal agent. One of the natural products produced by the bacterium Burkholderia contaminans MS14 is the glycolipopeptide occidiofungin. Occidiofungin has demonstrated in vitro activity against a multitude of fungal species, including multidrug-resistant Candida auris strains, and in vivo effectiveness in treating vulvovaginal candidiasis. Characterization of occidiofungin revealed the mechanism of action as binding to actin to disrupt higher-order actin-mediated functions leading to the induction of apoptosis in fungal cells. Occidiofungin is the first small molecule capable of disrupting higher-order actin functions and is a first-in-class compound that is able to circumvent current antifungal resistant mechanisms by fungal species. Anticancer properties and antiparasitic activities, against Cryptosporidium parvum, have also been demonstrated in vitro. The novel mechanism of action and wide spectrum of activity highlights the potential of occidiofungin to be developed for clinical use.
LRRK2 Inhibition by PF06447475 Antagonist Modulates Early Neuronal Damage after Spinal Cord Trauma
Authors: Filippone Alessia , Mannino Deborah , Cucinotta Laura , Paterniti Irene , Esposito Emanuela , Campolo Michela
Published: August 2022

Spinal cord injury (SCI) is a devastating event followed by neurodegeneration, activation of the inflammatory cascade, and immune system. The leucine-rich-repeat kinase 2 (LRRK2) is a gene associated with Parkinson’s disease (PD), moreover, its kinase activity was found to be upregulated after instigated inflammation of the central nervous system (CNS). Here, we aimed to investigate the PF06447475 (abbreviated as PF-475) role as a pharmacological LRRK2 antagonist by counteracting pathological consequences of spinal cord trauma. The in vivo model of SCI was induced by extradural compression of the spinal cord, then mice were treated with PF0-475 (2.5–5 and 10 mg/kg i.p) 1 and 6 h after SCI. We found that PF-475 treatments at the higher doses (5 and 10 mg/kg) showed a great ability to significantly reduce the degree of spinal cord tissue injury, glycogen accumulation, and demyelination of neurons associated with trauma. Furthermore, oxidative stress and cytokines expression levels, including interleukins (IL-1, IL-6, IL-10, and 12), interferon-γ (IFN-γ), and tumor necrosis factor-α (TNF-α), secreted and released after trauma were decreased by LRRK2 antagonist treatments. Our results suggest that the correlations between LRRK2 and inflammation of the CNS exist and that LRRK2 activity targeting could have direct effects on the intervention of neuroinflammatory disorders.
Experimental and Numerical Investigation for Seismic Performance of a Large-Scale LNG Storage Tank Structure Model
Authors: Chen Zengshun , Xu Zhengang , Teng Lingxiao , Fu Jun , Xu Tao , Zhao Zhihang
Published: August 2022

As special equipment for storing energy, the safety performance of liquified natural gas (LNG) storage tanks under earthquake action is extremely important. To study the dynamic characteristics of the large-scale LNG storage tank structure and the dynamic response under earthquake action, the shaking table test and numerical simulation analysis of the LNG storage tank structure model are carried out. The results of the shaking table test demonstrate that the natural vibration frequency of the tank model is significantly reduced after the isolation measures are taken. The acceleration response of the seismic storage tank increases approximately linearly along the direction of height, and the seismic isolation bearing has a significant seismic isolation effect on the acceleration of the storage tank. The numerical simulation results show that the seismic responses and their spectral characteristic curves of the numerical model and the shaking table test are the same, which verifies the feasibility and rationality of the numerical model. After seismic isolation measures are taken, the seismic responses of large-scale LNG storage tanks, such as base shear force, overturning bending moment and acceleration, are reduced to varying degrees, but the displacement of the storage tank increases to some extent. When carrying out the seismic isolation design of LNG storage tanks, it is necessary to focus on the displacement of the storage tank to prevent damage of the auxiliary pipeline led by excessive displacement.
Embedment of Steel Spiral Cases in Concrete: Lessons from a Structural Deformation Accident in China
Authors: Gao Xiaofeng , Fu Dan , Wu Hegao
Published: August 2022

A spiral case structure (SCS) plays a significant role in the safe and reliable operation of a hydroelectric power plant (HPP). In an HPP with 700 MW class turbine in China, a structural deformation accident happened in the construction period causing severe loss. Based on in-situ measured data, this study focuses on two major differences of this SCS that might cause the accident: (a) the construction condition, and (b) the shape of steel spiral case (SSC). The accident is reproduced in numerical study, and the simulation results agree reasonably well with in-situ measured data. The results show that the construction condition is a main factor causing the accident, but it is not the only cause of the raising deformation. The findings reveal that the post-accident stresses of steel structures are still at a relatively low level, and it would not be a major concern. The study also shows that the SSC with non-circle sections tends to have larger deformation under internal water pressure, and the deformation of the stay ring needs more attention in the construction period. The major limitation of this study is that this study merely focuses on the construction period. If such SCSs were to be used in a wider range, a follow-up study focusing on the operation period should be considered.
The Use of Social Robots in the Diagnosis of Autism in Preschool Children
Authors: Arent Krzysztof , Brown David J. , Kruk-Lasocka Joanna , Niemiec Tomasz Lukasz , Pasieczna Aleksandra Helena , Standen Penny J. , Szczepanowski Remigiusz
Published: August 2022

The present study contributes to the research problem of applying social robots in autism diagnosis. There is a common belief that existing diagnostic methods for autistic spectrum disorder are not effective. Advances in Human–Robot Interactions (HRI) provide potential new diagnostic methods based on interactive robots. We investigated deficits in turn-taking in preschool children by observing their interactions with the NAO robot during two games: (Dance with me vs. Touch me). We compared children’s interaction profiles with the robot (five autistic vs. five typically developing young children). Then, to investigate turn-taking deficits, we adopted a rating procedure to indicate differences between both groups of children based on an observational scale. A statistical analysis based on ratings of the children’s interactions with the NAO robot indicated that autistic children presented a deficient level of turn-taking behaviors. Our study provides evidence for the potential of designing and implementing an interactive dyadic game between a child and a social robot that can be used to detect turn-taking deficits based on objective measures. We also discuss our results in the context of existing studies and propose guidelines for a robotic-enabled autism diagnosis system.
A Finite Element Model for Investigating Unsteady-State Temperature Distribution and Thermomechanical Behavior of Underground Energy Piles
Authors: Zhao Peng , Li Xiaozhao , Hu Lihua , Wu Yun , Zhang Chenyang
Published: August 2022

The underground energy geostructure represented by the energy pile is one of the key paths for the cooperative development of underground space and geothermal energy. Because of its advantages of low cost, high efficiency and no extra occupation of underground space, it has become a feasible alternative to the borehole heat exchanger. The change in the temperature field of the energy pile and its surrounding ground not only affects the geological environment but also influences the thermomechanical performance and the durability of the structure. However, the temporal and spatial unsteady-state temperature distribution of piles and surrounding rock under typical intermittent and unbalanced thermal load conditions is still unclear. In this paper, a finite element model was applied to analyze the unsteady-state temperature distribution, and the thermomechanical behavior of the energy pile group was developed and verified. The temperature field distribution of pile and surrounding rock under typical intermittent working and unbalanced thermal load conditions were determined. Moreover, the thermomechanical behavior characteristics of the energy pile group were investigated. Finally, the influences of pile layout on the thermomechanical behavior of the energy pile group were identified by designing six different scenarios. The results indicate that under typical intermittent operation conditions, the temperature of the energy pile and surrounding ground near the heat exchange pipe varies periodically. For areas with unbalanced cooling and heating loads, long-term operation of energy piles leads to thermal accumulation, and the maximum temperature of energy piles occurs in the first daily cycle. In summer/winter working conditions, the increase/decrease in pile temperature induces axial compression/tensile stress. When the pile group is partially used as the energy pile, the non-energy pile acts as the “anchor pile”, and it generates the added tensile stress.
Predicting GPA of University Students with Supervised Regression Machine Learning Models
Authors: Falát Lukáš , Piscová Terézia
Published: August 2022

The paper deals with predicting grade point average (GPA) with supervised machine learning models. Based on the literature review, we divide the factors into three groups—psychological, sociological and study factors. Data from the questionnaire are evaluated using statistical analysis. We use confirmatory data analysis, where we compare the answers of men and women, university students coming from grammar schools versus students coming from secondary vocational schools and students divided according to the average grade. The differences between groups are tested with the Shapiro–Wilk and Mann–Whitney U-test. We identify the factors influencing the GPA through correlation analysis, where we use the Pearson test and the ANOVA. Based on the performed analysis, factors that show a statistically significant dependence with the GPA are identified. Subsequently, we implement supervised machine learning models. We create 10 prediction models using linear regression, decision trees and random forest. The models predict the GPA based on independent variables. Based on the MAPE metric on the five validation sets in cross-validation, the best generalization accuracy is achieved by a random forest model—its average MAPE is 11.13%. Therefore, we recommend the use of a random forest as a starting model for modeling student results.
A Framework for Decentralized Energy Trading Based on Blockchain Technology
Authors: Huang Di , Ma Shixi , Zhou Dengji , Zhang Chenyu , Han Huachun , Li Qiang , Li Taotao , Wang Chen
Published: August 2022

The blockchain is a distributed database whose data are stored and managed in every node in the network. By design, the information of trade records is difficult to tamper. Therefore, it can deal with the trust problem without a central operator. Blockchain technology has brought about major reform in the financial field and has been paid more and more attention in many fields. The combination of blockchain technology and energy trade seems to have good prospects due to their common features of distribution, diversity and marketization. In this paper, a new decentralized energy trading framework based on blockchain technology is presented and analyzed. In this framework, four basic participators in the market are set, which are the consumer, supplier, speculator (with energy storage capacity) and regulator. In addition, the order format and price clearing mechanisms are designed accordingly. The new framework can accommodate a large number of entities and enable them to achieve better economic benefits. Small examples are used to analyze the framework. It is concluded that this technology has significant under-researched potential to support and enhance the efficiency gains of the energy revolution, and areas for future research are identified.
Transcriptome-Wide Analysis Revealed the Potential of the High-Affinity Potassium Transporter (HKT) Gene Family in Rice Salinity Tolerance via Ion Homeostasis
Authors: Hussain Shahid , Zhang Rui , Liu Shuli , Li Rongkai , Zhou Yicheng , Chen Yinglong , Hou Hongyan , Dai Qigen
Published: August 2022

The high-affinity potassium transporter (HKT) genes are key ions transporters, regulating the plant response to salt stress via sodium (Na+) and potassium (K+) homeostasis. The main goal of this research was to find and understand the HKT genes in rice and their potential biological activities in response to brassinosteroids (BRs), jasmonic acid (JA), seawater, and NaCl stress. The in silico analyses of seven OsHKT genes involved their evolutionary tree, gene structures, conserved motifs, and chemical properties, highlighting the key aspects of OsHKT genes. The Gene Ontology (GO) analysis of HKT genes revealed their roles in growth and stress responses. Promoter analysis showed that the majority of the HKT genes participate in abiotic stress responses. Tissue-specific expression analysis showed higher transcriptional activity of OsHKT genes in roots and leaves. Under NaCl, BR, and JA application, OsHKT1 was expressed differentially in roots and shoots. Similarly, the induced expression pattern of OsHKT1 was recorded in the seawater resistant (SWR) cultivar. Additionally, the Na+ to K+ ratio under different concentrations of NaCl stress has been evaluated. Our data highlighted the important role of the OsHKT gene family in regulating the JA and BR mediated rice salinity tolerance and could be useful for rice future breeding programs.
The Sheep as a Large Animal Model for the Investigation and Treatment of Human Disorders
Authors: Banstola Ashik , Reynolds John N. J.
Published: August 2022

An essential aim of biomedical research is to translate basic science information obtained from preclinical research using small and large animal models into clinical practice for the benefit of humans. Research on rodent models has enhanced our understanding of complex pathophysiology, thus providing potential translational pathways. However, the success of translating drugs from pre-clinical to clinical therapy has been poor, partly due to the choice of experimental model. The sheep model, in particular, is being increasingly applied to the field of biomedical research and is arguably one of the most influential models of human organ systems. It has provided essential tools and insights into cardiovascular disorder, orthopaedic examination, reproduction, gene therapy, and new insights into neurodegenerative research. Unlike the widely adopted rodent model, the use of the sheep model has an advantage over improving neuroscientific translation, in particular due to its large body size, gyrencephalic brain, long lifespan, more extended gestation period, and similarities in neuroanatomical structures to humans. This review aims to summarise the current status of sheep to model various human diseases and enable researchers to make informed decisions when considering sheep as a human biomedical model.
Trait Mindfulness, Self-Compassion, and Self-Talk: A Correlational Analysis of Young Adults
Authors: Grzybowski Jocelyn , Brinthaupt Thomas M.
Published: August 2022

This research explores the relationships between trait mindfulness, self-compassion, self-talk frequency, and experience with mindful practice. We expected to find that positive self-talk would be positively related to mindfulness and self-compassion, and negative self-talk would be negatively related to these variables. Participants (N = 342) were recruited through a university research pool, as well as via social media posting. The participants completed two measures of trait mindfulness (the 15-item Five Facet Mindfulness Questionnaire and the Trait Toronto Mindfulness Scale), two measures of self-talk (the Self-Talk Scale and the Automatic Thoughts Questionnaire—Revised), and the Self-Compassion Scale short form. The results showed moderate positive correlations between (1) positive self-talk and trait mindfulness and (2) positive self-talk and self-compassion. A significant negative correlation also emerged between negative self-talk and trait mindfulness. Additional analyses indicated no moderating effects of mindfulness experience on self-talk or self-compassion in predicting trait mindfulness. We discuss implications for the significance of the relationship between self-talk and mindfulness for the effective implementation in future treatment methodologies.
Synthesis and Investigation of Pure and Cu-Doped NiO Nanofilms for Future Applications in Wastewater Treatment Rejected by Textile Industry
Authors: Allali Malika , Dahamni Mohamed Amine , Ghamnia Mostefa , Boukhachem Abdelwahab , Boukrédimi Djamel , Tonneau Didier , Fauquet Carole
Published: August 2022

Pure and Cu-doped NiO films were synthesized via a soft chemical process. They were deposited on glass substrates heated to 400 °C. Different atomic percentage ratios (2, 4, 6, 8, and 10%) of Cu-doping were used. The prepared samples were characterized by several techniques such as X-ray diffraction for crystallographic study, SEM and AFM for microstructural and morphological properties, and UV-Visible spectroscopy for optical and photocatalytical analysis. XRD results of pure and Cu-doped NiO films indicated the formation of NiO polycrystalline phases under a cubic structure with a favored orientation along the (200) plane noticed in all sprayed films. SEM images revealed the formation of NiO nanoparticles of spherical forms whose sizes increase and agglomerate with increasing Cu-doping. At 10% Cu-doping, NiO agglomeration was extended to the whole surface. AFM images showed a textured and rough surface composed of NiO nanoparticles of average size varying from 16 to 10 nm depending on Cu-doping concentration. UV-visible spectroscopy confirmed the transparency of NiO films and their semiconducting character with a band gap ranging from 3.4450 eV to 2.8648 eV. The photocatalytical properties of pure and Cu-NiO films were enhanced by Cu-doping particles as revealed by the degradation of methylene blue (MB) solution subjected to irradiation.