bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of refeeding on production, blood biochemistry parameters, and reproduction in underfed Kacang goat does
Authors: Widiyono Irkham , Yanuartono Yanuartono , Purnamaningsih Hary , Sarmin Sarmin
Published: July 2022

This research aimed to investigate the effect of refeeding on production, blood biochemical parameters, and reproduction in underfed Kacang goat does. Twelve 2–3‐year‐old Kacang goats scored (body condition score [BCS]: 1–1.5) with poor body condition but appeared healthy, gave normal births 3–4 months before but no longer nursing their youngs, and anestrus were used in this study. The experiment consisted of 110 days with 14 days of adaptation period and 96 days of feeding treatment and data collection. After the adaptation period, the animals were divided into two groups (A and B), with six animals each. During the first 40 days (underfeeding period), they were fed with kangkong (Ipomoea reptans) straw at a level of 2% of body weight (BW). For the following 56 days (refeeding period), each animal in group A was fed at the level of 4% BW per day while group B was fed at the level of 5% BW per day consisting of 50% kangkong straw and 50% concentrate. Feed intake, average daily gain, body condition, and estrus were assessed in the period of underfeeding and refeeding. Blood samples were collected at the end of the underfeeding and refeeding period for blood biochemical parameter analyses. During the underfeeding period, the animals were anestrous and had poor body condition (BCS: 1.17–1.33) and high serum levels of cortisol, progesterone, and estradiol. Refeeding resulted in a significant increase in BCS (2.75–3.0), restoring estrous cycle, and reduced serum cortisol and progesterone level (p < 0.05). The Kacang goats had good compensatory growth. It could be concluded that refeeding at the level of 4–5% BW would restore undernourished goats' clinical condition, productivity, and reproductive performance after 8 weeks of refeeding.
How we got stuck: The origins of hierarchy and inequality
Authors: Birch Jonathan , Buskell Andrew
Published: July 2022

Kim Sterelny's bookThe Pleistocene social contractprovides an exceptionally well‐informed and credible narrative explanation of the origins of inequality and hierarchy. In this essay review, we reflect on the role of rational choice theory in Sterelny's project, before turning to Sterelny's reasons for doubting the importance of cultural group selection. In the final section, we compare Sterelny's big picture with an alternative from David Wengrow and David Graeber.
Reflecting back to move forward: Lessons learned about COVID‐19 safety protocols from pediatric anesthesiologists
Authors: Vigouroux Marie , Amja Kristina , Bertolizio Gianluca , Ingelmo Pablo , Hovey Richard
Published: July 2022

Background

The COVID‐19 pandemic brought about the immediate need for enhanced safety protocols in health care centers. These protocols had to evolve as knowledge and understanding of the disease quickly broadened.

Aims

Through this study, the researchers aimed to understand the experiences of pediatric anesthesiologists at the Montreal Children's Hospital and the Shriners' Hospital Canada as they navigated the first wave of COVID‐19 at their institutions.

Methods

Nine participants from the Montreal Children's Hospital and the Shriners' Hospital were interviewed. Interviews were recorded, transcribed verbatim, and then analyzed using an applied philosophical hermeneutics approach.

Findings

Participants expressed their wish for simple and easy‐to‐apply protocols while recognizing the challenge of keeping up with evolving knowledge on the disease and its transmission. They pointed to some limitations and unintended consequences of the safety protocols and the system‐wide flaws that the COVID‐19 pandemic helped bring to light. They described their frustrations with some aspects of the safety protocols, which they at times felt could be more efficient or better suited for their daily practice.

Conclusions

The findings of this study highlighted the importance of listening to and empowering anesthesiology staff working in the field during crises, the implications of shifting from patient‐centered care to community‐centered care, and the fine line between sharing as much emerging information as possible and overwhelming staff with information.
Cross‐industry interlinkages in employment growth: Evidence from Brazil
Authors: Carvalho Daniel R. , Lee Jean N.
Published: July 2022

Using establishment‐level data from Brazil, we estimate the extent to which firm‐ and industry‐level employment and entry decisions respond to changes in the employment decisions of geographically proximate firms and industries. We instrument for employment changes by following Bartik (1991) and Blanchard and Katz (1992). Our analysis suggests the existence of economically and statistically significant effects of municipality‐level shocks in other industries on the employment and entry decisions of firms and industries in the same municipality. Spillovers are heterogeneous across municipalities and vary based on municipality income, distance from regional economic centers, and transport costs.
Automated closed volume reduction process for apheresis stem cell grafts: From development to clinical implementation
Authors: Howell Anita , Letcher Brenda , Murphy Kelly , Elmoazzen Heidi , Petraszko Tanya , Acker Jason P. , Pineault Nicolas , Holovati Jelena L.
Published: July 2022

Background

Collection of HPC by apheresis (HPC‐A) can sometimes result in higher collection volumes, increasing the dimethyl sulfoxide (DMSO) volume infused into patients and the space requirements in liquid nitrogen freezers. Volume reduction prior to the addition of cryoprotectant is an efficient means to reduce the DMSO load infused into patients and to optimize freezer storage space.

Study Design and Methods

To implement a closed semi‐automated volume reduction process, a method was developed to produce leukocyte‐rich mock apheresis products using buffy coats derived from whole blood collections. The mock HPC products were then used to measure the efficiency and reliability of the semi‐automated process over a range of volumes and cell concentrations. The resulting data was used to support the implementation of the process with concurrent monitoring.

Results

A closed, semi‐automated volume reduction process resulted in recoveries of over 93% and 91% of white blood cells and CD34+ cells with no significant loss of product viability or potency. Mean doses of CD34+ and CFU infused per kilogram recipient body weight were 4.0 ± 1.1 × 106/kg and 4.2 ± 1.7 × 105/kg, resulting in no delays in median time to neutrophil and platelet engraftment, significant increase in adverse reaction or nonconformances.

Discussion

The effectiveness outcomes of the first Canadian experience in the implementation of a closed semi‐automated volume reduction system in the processing of HPC‐A products for autologous transplant have met the predetermined acceptance criteria, supporting its use in a stem cell manufacturing laboratory compliant with good manufacturing practice regulations.
Minimum Quantity Cutting Fluid Application for Grinding Weld Flash: Surface Integrity Evaluation
Authors: Rangasamy Nithin , Rakurty Chandra Sekhar , Maurer Zach
Published: July 2022

The effect of the grinding process for weld flash removal on the surface integrity of the welded joint has not been researched. The surface integrity of the welded joint is essential for the bandsaw blade life and to prevent any premature failure at the weld joint due to fatigue loading (a band saw blade undergoes mainly cyclic bending fatigue during its service). In this study, the effects of using different cutting fluid combinations on the grinding of weld flash in medium carbon alloy steel were carried out. The use of compressed air (CA) as a sustainable solution for grinding weld flash was explored. An experimental investigation of four different cutting fluid applications (dry/no cutting fluid, compressed air, minimum quantity lubricant using vegetable oil, and minimum quantity coolant using water-soluble oil) was carried out. The surface roughness, sub-surface residual stresses, and microhardness of the ground region were measured. This is a first-of-the-kind study on the effect of the flash removal process on the surface integrity of the welded joint. The results show that the surface integrity of the welded joint is significantly influenced by the cutting fluid application used during the grinding process of the flash. Dry grinding, the current industry standard for grinding weld flash in band saw blades, produced surface tensile residual stresses (24.82 MPa), lowest sub-surface microhardness (43.28 HRc), and the highest surface roughness (3.40 µm). In comparison, the air application had the highest surface compressive residual stresses (−289.57 MPa), highest sub-surface microhardness (48.67 HRc), and relatively low surface roughness (1.61 µm). This study provides the road map for selecting the cutting fluid application for grinding weld flash produced by the resistance welding process in the band sawing industry.
Calcium Determines
Lactiplantibacillus plantarum
Intraspecies Competitive Fitness
Authors: Yu Annabelle O. , Wei Lei , Marco Maria L.
Published: July 2022

Ecological theory states that the struggle for existence is stronger between closely related species. Contrary to this assertion, fermented foods frequently sustain conspecific individuals, in spite of their high levels of phylogenetic relatedness.
Complete Genome Sequence of
Bradyrhizobium
sp. Strain C-145, a Nitrogen-Fixing Rhizobacterium Used as a Peanut Inoculant in Argentina
Authors: Nievas Fiorela , Revale Santiago , Foresto Emiliano , Cossovich Sacha , Puente Mariana , Alzari Pedro , Martínez Mariano , Ben-Assaya Mathilde , Mornico Damien , Santoro Maricel , Martínez-Abarca Francisco , Giordano Walter , Bogino Pablo
Published: July 2022

We present the complete genome sequence of
Bradyrhizobium
sp. strain C-145, one of the most widely used nitrogen-fixing rhizobacteria for inoculating peanut crops in Argentina. The genome consists of 9.53 Mbp in a single circular chromosome and was determined using a hybrid long- and short-read assembly approach.
Adaptation to Environmental Extremes Structures Functional Traits in Biological Soil Crust and Hypolithic Microbial Communities
Authors: Mackelprang Rachel , Vaishampayan Parag , Fisher Kirsten
Published: July 2022

Biocrusts serve as a keystone element of desert and dryland ecosystems, stabilizing soils, retaining moisture, and serving as a carbon and nitrogen source in oligotrophic environments. Biocrusts cover approximately 12% of the Earth’s terrestrial surface but are threatened by climate change and anthropogenic disturbance.
Incidence, progression and regression of diabetic retinopathy in a northeastern Chinese population
Authors: Lin Zhong , Wen Liang , Wang Yu , Li Dong , Zhai Gang , Moonasar Nived , Wang Fenghua , Liang Yuanbo
Published: July 2022

Aim

To determine the incidence, progression and regression of diabetic retinopathy (DR), with corresponding risk factors, in a northeastern Chinese population of patients with type 2 diabetes.

Methods

Among 2006 patients who completed baseline examinations in 2012–2013 and underwent re-examination after a mean interval of 21.2 months, 1392 patients with gradable fundus photographs for both baseline and follow-up examinations were included. Incidence was defined as new development of any DR among patients without DR at baseline. An increase of ≥2 scales (concatenating Early Treatment Diabetic Retinopathy Study levels of both eyes) in eyes with DR at baseline was defined as progression, while a reduction of ≥2 scales was defined as regression.

Results

The age- and sex-standardised incidence, progression and regression were 5.8% (95% CI 4.7% to 6.9%), 26.8% (95% CI 24.8% to 28.8%) and 10.0% (95% CI 8.6% to 11.3%), respectively. In addition to poor blood glucose control, wider central retinal venular equivalent was associated with both incidence (relative risk (RR) 2.17, 95% CI 1.09 to 4.32, for ≥250 µm vs <210 µm) and progression (RR 2.00, 95% CI 1.02 to 3.96, for ≥250 µm vs <210 µm). Patients without insulin therapy (RR 0.64, 95% CI 0.43 to 0.97) and patients with wider central retinal arteriolar equivalent (RR 1.14, 95% CI 1.02 to 1.26, per 10 µm increase) were likely to exhibit DR regression.

Conclusion

We determined the incidence, progression and regression of DR among northeastern Chinese patients with type 2 diabetes. Retinal vessel diameters, in addition to blood glucose level, influence the natural evolution of DR.
Establishment of a core outcome set for burn care research: development and international consensus
Authors: Young Amber , Davies Anna , Tsang Carmen , Kirkham Jamie , Potokar Tom , Gibran Nicole , Tyack Zephanie , Meirte Jill , Harada Teruichi , Dheansa Baljit , Dumville Jo , Metcalfe Chris , Ahuja Rajeev , Wood Fiona , Gaskell Sarah , Brookes Sara , Smailes Sarah , Jeschke Marc , Cinar Murat Ali , Zia Nukhba , Moghazy Amr , Mathers Jonathan , Falder Sian , Edgar Dale , Blazeby Jane Mary
Published: July 2022

Objective

To develop a core outcome set for international burn research.

Design

Development and international consensus, from April 2017 to November 2019.

Methods

Candidate outcomes were identified from systematic reviews and stakeholder interviews. Through a Delphi survey, international clinicians, researchers, and UK patients prioritised outcomes. Anonymised feedback aimed to achieve consensus. Pre-defined criteria for retaining outcomes were agreed. A consensus meeting with voting was held to finalise the core outcome set.

Results

Data source examination identified 1021 unique outcomes grouped into 88 candidate outcomes. Stakeholders in round 1 of the survey, included 668 health professionals from 77 countries (18% from low or low middle income countries) and 126 UK patients or carers. After round 1, one outcome was discarded, and 13 new outcomes added. After round 2, 69 items were discarded, leaving 31 outcomes for the consensus meeting. Outcome merging and voting, in two rounds, with prespecified thresholds agreed seven core outcomes: death, specified complications, ability to do daily tasks, wound healing, neuropathic pain and itch, psychological wellbeing, and return to school or work.

Conclusions

This core outcome set caters for global burn research, and future trials are recommended to include measures of these outcomes.
A web-based survey assessing perceived changes in diet, physical activity and sleeping behaviours in adults with type 1 and type 2 diabetes during the COVID-19 pandemic in the UK
Authors: Summers Charlotte , Lima Do Vale Marjorie , Haines Louise , Armes Sarah , Bradfield James , Crocombe Dominic , Ray Sumantra
Published: July 2022

Background

The COVID-19 pandemic may have contributed to poorer self-management (ie, diet, physical activity and sleep) of diabetes mellitus (DM), which might predispose individuals to more severe COVID-19 outcomes.

Objective

The first objective was to capture perceived changes in diet, physical activity and sleeping during the COVID-19 pandemic in adults with type 1 (T1DM) and type 2 diabetes mellitus (T2DM) in the UK. A second objective was to explore differences between individuals with DM compared with ‘no’ or ‘other’ health conditions.

Methods

Participants aged >18 years were selected by convenience. Individuals subscribed to the Diabetes.co.uk community were sent a web-based survey including questions about demographics and health, followed by 5-point Likert-type scale questions relating to lifestyle-related behaviours during the COVID-19 pandemic. Individuals were grouped by diagnosis of DM, ‘other’ or ‘no’ health condition and responses were compared.

Results

4764 individuals responded, with 2434 (51.3%) being female and 1550 (32.6%) aged 55–64 years. T2DM (2974; 62.7%), hypertension (2147; 45.2%) and T1DM (1299; 27.4%) were most frequently reported. Compared with T1DM, ‘no’ or ‘other’ health conditions, respondents with T2DM reported making a less conscious effort to get outside and exercise daily (p<0.001) and spending no time outdoors (p=0.001). Weight loss was more frequently reported in respondents with T2DM (p=0.005). More individuals with T2DM reported consuming convenience foods (p=0.012) and sugary foods (p=0.021), yet eating more fresh foods (p=0.001) and drinking less alcohol than normal (p<0.001). More individuals with T1DM and T2DM reported worse sleep quality (p=0.004).

Conclusions

Our study highlighted important differences in lifestyle by individuals with T1DM, T2DM, other and no health conditions in relation to the COVID-19 pandemic. Establishing surveillance systems and conducting repeated assessments are required to analyse how the situation shifted over time and whether adverse collateral effects of the pandemic were sustained in those with chronic health conditions.
Gender in healthcare: a practical approach
Authors: Benson Lucy Elizabeth , Allen Deborah Emma , Axiotis Natalie , Metcalfe Neil H
Published: July 2022

Transgender law is complex and developing. Increasing general practitioner referrals for gender dysphoria without sufficient resources for specialist units have left gaps in transgender healthcare. Surveys repeatedly find transgender patients have lower satisfaction with healthcare experiences, stating doctors have a poor understanding of their needs. Meanwhile, waiting times for referrals remain high.

This review article outlines UK laws and guidelines relevant to trans healthcare, including practical advice for clinicians. Current issues are explored, including the referral process for gender dysphoria.

Transgender law is continually evolving; currently, individuals require a diagnosis of gender dysphoria to legally change gender. However, the gender on NHS records can be changed without legally changing gender.

Clinicians may find support from the General Medical Council for this area. Specifically, guidance exists for including trans patients in screening programmes relevant to their assigned sex at birth. Similarly, advice exists for ensuring the privacy of patients’ gender history.

What is already known on this topic

What this study adds

How this study might affect research, practice or policy
Fall-applied residual herbicides improve broadleaf weed management in ultra-early wheat (Triticum aestivum L.) production systems on the northern Great Plains
Authors: Collier Graham R.S. , Spaner Dean M. , Hall Linda M. , Graf Robert J. , Beres Brian L.
Published: July 2022

Ultra-early spring wheat ( Triticum aestivum L.) planting systems based on soil temperature on the northern Great Plains have lower overall variability in grain yield, and can increase grain yield relative to current calendar date-based spring wheat planting systems used in the region. However, ultra-early planting when soils are cold (2 °C), and resulting early crop emergence, precludes most foliar pre-seeding weed control options. Field trials were conducted at three sites in western Canada from 2017 to 2019 to evaluate the crop safety, broadleaf weed efficacy, and growing system stability resulting from the inclusion of fall applications of soil-applied residual herbicides prior to planting wheat ultra-early the following spring. Flumioxazin (protoporphyrinogen oxidase inhibitor; Weed Science Society of America (WSSA) group 14) and pyroxasulfone (very long chain fatty acid synthesis inhibitor; WSSA group 15) were applied alone and in combination at multiple rates in the late fall prior to ground freeze. The following spring, hexaploid spring wheat was planted ultra-early, based on a soil temperature trigger of 2 °C, and later, triggered by a soil temperature of 8 °C. When planting was completed ultra-early, grain yield was greater, and variability of grain yield was lower. Herbicide treatments increased broadleaf weed control, and in some environments further increased grain yield and reduced grain yield variability without resulting in phytotoxicity. The ability to safely incorporate fall-applied residual herbicides into ultra-early spring wheat planting systems provides an option for growers to adopt ultra-early planting without negatively impacting weed management on their farms.
Comparative analysis reveals chromosome number reductions in the evolution of African bermudagrass (Cynodon transvaalensisBurtt-Davy)
Authors: Yu Shuhao , Dong Hongxu , Fang Tilin , Wu Yanqi
Published: July 2022

African bermudagrass ( Cynodon transvaalensis Burtt-Davy) (2n = 2x = 18) belongs to the genus Cynodon, tribe Cynodonteae, subfamily Chloridoideae in the grass family Poaceae. The species is frequently crossed with common bermudagrass ( Cynodon dactylon Pers.) in developing high-quality hybrid turf cultivars. Molecular resources for C. transvaalensis are scarce; thus, its genomic evolution is unknown. Recently, a linkage map consisting of 1278 markers provided a powerful tool for African bermudagrass genomic research. The objective of this study was to investigate chromosome number reduction events that resulted in the nine haploid chromosomes in this species. Tag sequences of mapped single nucleotide polymorphism markers in C. transvaalensis were compared against genome sequences of Oropetium thomaeum (L.f.) Trin. (2n = 2x = 20), a genomic model in the Cynodonteae tribe. The comparative genomic analyses revealed broad collinearity between the genomes of these two species. The analyses further revealed that two major interchromosomal rearrangements of the paleochromosome ρ12 (ρ1–ρ12–ρ1 and ρ6–ρ12–ρ6) resulted in nine chromosomes in the genome of C. transvaalensis. The findings provide novel information regarding the formation of the initial diploid species in the Cynodon genus.
Algorithm 1025: PARyOpt: A Software for

P

arallel

A

synchronous

R

emote Ba

y

esian

Opt

imization
Authors: Pokuri Balaji Sesha Sarath , Lofquist Alec , Risko Chad , Ganapathysubramanian Baskar
Published: July 2022

PARyOpt

1

is a Python based implementation of the Bayesian optimization routine designed for remote and asynchronous function evaluations. Bayesian optimization is especially attractive for computational optimization due to its
low cost function footprint
as well as the ability to account for uncertainties in data. A key challenge to efficiently deploy any optimization strategy on distributed computing systems is the synchronization step, where data from multiple function calls is assimilated to identify the next campaign of function calls. Bayesian optimization provides an elegant approach to overcome this issue via asynchronous updates. We formulate, develop and implement a parallel, asynchronous variant of Bayesian optimization. The framework is robust and resilient to external failures. We show how such asynchronous evaluations help reduce the total optimization wall clock time for a suite of test problems. Additionally, we show how the software design of the framework allows easy extension to response surface reconstruction (Kriging), providing a high performance software for autonomous exploration. The software is available on PyPI, with examples and documentation.
Integrating IoT-Sensing and Crowdsensing with Privacy: Privacy-Preserving Hybrid Sensing for Smart Cities
Authors: Zhu Hanwei , Chau Sid Chi-Kin , Guarddin Gladhi , Liang Weifa
Published: July 2022

Data sensing and gathering is an essential task for various information-driven services in smart cities. On the one hand, Internet of Things (IoT) sensors can be deployed at certain fixed locations to capture data reliably but suffer from limited sensing coverage. On the other hand, data can also be gathered dynamically through crowdsensing contributed by voluntary users but suffer from its unreliability and the lack of incentives for users’ contributions. In this article, we explore an integrated paradigm called “
hybrid sensing
” that harnesses both IoT-sensing and crowdsensing in a complementary manner. In hybrid sensing, users are incentivized to provide sensing data not covered by IoT sensors and provide crowdsourced feedback to assist in calibrating IoT-sensing. Their contributions will be rewarded with credits that can be redeemed to retrieve synthesized information from the hybrid system. In this article, we develop a hybrid sensing system that supports explicit user privacy—IoT sensors are obscured physically to prevent capturing private user data, and users interact with a crowdsensing server via a privacy-preserving protocol to preserve their anonymity. A key application of our system is smart parking, by which users can inquire and find the available parking spaces in outdoor parking lots. We implemented our hybrid sensing system for smart parking and conducted extensive empirical evaluations. Finally, our hybrid sensing system can be potentially applied to other information-driven services in smart cities.
Genotype-Phenotype Correlation Reanalysis in 83 Chinese Cases with OCRL Mutations
Authors: Zhang Lingxia , Wang Shugang , Mao Ruoque , Fu Haidong , Wang Jingjing , Shen Huijun , Lu Zhihong , Chen Junyi , Bao Yu , Feng Chunyue , Lai En Yin , Ye Qing , Mao Jianhua
Published: July 2022

Background. Both Lowe syndrome and Dent-2 disease are caused by variants in the OCRL gene. However, the reason why patients with similar OCRL gene mutations presented with different phenotypes remains uncertain. Methods. Children with hemizygous pathogenic or likely pathogenic variants in OCRL were compiled from published and unpublished consecutive cases from China. Furthermore, a Chi-square test was employed to analyze the correlation of the location and types of mutations on the phenotype of children with Lowe syndrome or Dent-2 disease. Results. Among the total 83 patients, 70.8% (34/48) cases of Lowe syndrome presented with truncating mutations, while only 31.4% (11/35) cases of Dent-2 disease presented with truncating mutation (Χ2 = 12.662;

P
<
0.001

). Meanwhile, the majority of mutations in Dent-2 disease are located in Exon 2–12 (21/35, 60.0%), while the majority of mutations in Lowe syndrome are located in Exon 13–23 (39/48, 81.3%; Χ2 = 14.922;

P
<
0.001

). Conclusions. Truncating mutations of the OCRL gene were more common in patients with Lowe syndrome than in Dent-2 disease, while mutation is more likely located at exon 2–12 in Dent-2 disease than that in Lowe syndrome. The type and location of mutation are important indicators for the phenotypes in patients with OCRL mutation. This is a large cohort study analyzing the genotype-phenotype correlation in patients with Lowe syndrome and Dent-2 disease in China. Our data may improve the interpretation of new OCRL variants and genetic counseling. Furthermore, a large international study would be necessary to illustrate the genotype-phenotype correlation in patients with OCRL mutations.
Research on Generation Algorithm of Dynamic Multimapping Compound Chaotic Sequence
Authors: Quan Mengjiao , Cui Weijia , Ba Bin , Du Yuxi , Li Hao
Published: July 2022

Aiming at the problems that the chaotic sequence is periodic due to the influence of calculation accuracy and the pseudorandomness of the sequence is not ideal, this paper proposes a dynamic multimapping compound (DMMC) chaotic sequence based on time of days (TOD) and several improved logistic mappings, which not only increases the key space, flexibility, and complexity of sequence generation but also improves pseudorandom performance. The sequence is composed of two new logistic maps with different initial values, which are then scrambled by the 2D-LICM sequence. In the whole process, the TOD is used to determine the system parameter and the selection of the scrambling sequence. After certain processing, it is connected in series with the original generated sequence to obtain the target chaotic sequence. The simulation analysis proves that the sequence generated by the algorithm proposed in this paper has good run length, correlation, and ideal balance and greatly improves the confidentiality of the system, which proves the effectiveness and reliability of the designed spread spectrum sequence.
Tetramethylpyrazine Protects Endothelial Injury and Antithrombosis via Antioxidant and Antiapoptosis in HUVECs and Zebrafish
Authors: Zhang Yafang , Ma Cheng , He Linfeng , Liao Li , Guo Chaocheng , Wang Cheng , Gong Lihong , Zhou Honglin , Fu Ke , Peng Cheng , Li Yunxia
Published: July 2022

Chuanxiong Rhizoma, the dried rhizome of Ligusticum chuanxiong Hort., is a commonly used drug for promoting blood circulation and dissipating congestion. Tetramethylpyrazine (TMP), the main active ingredient of Ligusticum chuanxiong, has significant antioxidant, anti-inflammatory, and vascular protective effects. However, the protective properties and underlying mechanisms of TMP against endothelial injury-induced insufficient angiogenesis and thrombosis have not been elucidated. Therefore, we aimed to explore the protective effects of TMP on endothelial injury and its antithrombotic effects and study the mechanism. In vitro experiments showed that TMP could alleviate hydrogen peroxide– (H2O2–) induced endothelial injury of human umbilical vein endothelial cells (HUVECs) and the protective mechanism might be related to the regulation of MAPK signaling pathway, and its antioxidative and antiapoptotic effects. In vivo experiments showed that TMP restored PTK787-induced damage to intersegmental vessels (ISVs) in Tg(fli-1: EGFP)y1 transgenic (Flik) zebrafish larvae. Similarly, adrenalin hydrochloride– (AH–) induced reactive oxygen species (ROS) production and thrombosis in AB strain zebrafish were inhibited by TMP. RT-qPCR assay proved that TMP could inhibit the expression of fga, fgb, fgg, f7, and von Willebrand factor (vWF) mRNA to exert an antithrombotic effect. Our findings suggest that TMP can contribute to endothelial injury protection and antithrombosis by modulating MAPK signaling and attenuating oxidative stress and antiapoptosis.
Prediction Model of Piano Collective Class Teaching and Learning Effect Based on Deep Learning
Authors: Zhu Xiaoyue
Published: July 2022

This paper proposes a prediction model of piano collective class teaching and learning effect based on DL network in order to realise the precise prediction and evaluation of piano collective class instructional effect and promote the improvement of piano collective class instructional quality. The idea of an instructional assessment index is quantified in this paper using specific data as its input and educational impact as its output. In parallel, several training networks are established to correspond to the first-level evaluation indexes, and the input samples are normalised. Finally, MATLAB performs the empirical research. According to the findings, this method’s prediction accuracy can reach 94.41 percent, which is about 10.22 percent higher than that of conventional methods. This prediction model is somewhat realistic and feasible. When used to predict and assess instructional quality, this method not only eliminates the subjectivity of experts in the evaluation process but also yields satisfactory evaluation outcomes and has a broad range of applications. According to the model’s predictions and evaluation findings in this paper, appropriate teachers can better understand the drawbacks of the collective class model, focus on some important aspects of teaching activities, and then enhance instructional methods and effects.
Biochemical Behaviours of Salmeterol/Fluticasone Propionate in Treating Asthma and Chronic Obstructive Pulmonary Diseases (COPD)
Authors: Mills Hilla , Acquah Ronald , Tang Nova , Cheung Luke , Klenk Susanne , Glassen Ronald , Pirson Magali , Albert Alain , Hoang Duong Trinh , Van Thang Nguyen
Published: July 2022

Chronic obstructive pulmonary diseases (COPD) and asthma are fatal. The respiratory tract may be blocked, robbed of the adequate amounts of oxygen; hence, death ensues if a quick medical attention is not provided. The treatment available for the duo are inhaled corticosteroids (ICS). The ICS can work synergically with LABAS (long-acting β2-antagonists) and so many other medicines like bronchodilators. The drugs used for the treatment of asthma and COPD are metabolised once in the body system and at the same time exerting the therapeutic effect provided the concentration of the drug is within the therapeutic window. The CYP3A isoforms metabolise the ICS, in this case, salmeterol and fluticasone propionate (FP). Methods of administration are not limited to inhalation. Specific doses are prescribed accurately paying attention to factors like age, gender, race, and genetic makeup since these affect drug metabolisms. Generally, the ICS work by translocating glucocorticoid receptors to the nucleus from the cytosol. The mechanism is potentiated by the β-antagonists and this brings about an anti-inflammatory effect which is greater than either of the two drugs alone. Once this happens, it is not necessary to increase ICS dose. The ICS, in addition, cause more production of β-receptors by activating the β-receptor genes. This mode of action begets the LABAs’ bronchodilator-effects. The challenge is that ICS are not limited only to “double” therapy. Analysing such therapies is daunting since coadministration interferes with pharmacology and pharmacokinetics of drugs. This work focuses on salmeterol/fluticasone propionate combination and aspects which has to do with administration, monitoring, metabolism, toxicity, and adverse effects.
Prediction of Cognitive-Behavioral Therapy using Deep Learning for the Treatment of Adolescent Social Anxiety and Mental Health Conditions
Authors: Zheng Yue , Ye Yang
Published: July 2022

Cognitive-behavioral therapy is a type of psychosocial intervention which aims to reduce the mental health conditions like depression, anxiety disorder, and others. Similarly, deep learning is a type of machine learning and artificial intelligence that imitates how humans gain certain types of knowledge. In this paper, deep learning has been used to effectively alleviate teenagers’ social anxiety and improve their social ability and the quality of social relations. It aims to conduct an in-depth study on the diagnosis and treatment of cognitive behavior therapy in teenagers based on deep learning. First, it constructs the cognitive behavior diagnosis and treatment evaluation system of adolescent social anxiety and divides the system function into functional, structural, and database design. Then, the correlation prediction model between cognitive behavior therapy and adolescent social anxiety is constructed based on a multiobjective evolutionary algorithm. The risk and protective factors in adolescent growth are screened from the perspectives of people, family, school, and society. The fuzzy itemset support of different factors is defined. The vector of adolescent social anxiety expression index’s weight is calculated. The subjective and objective factors of social anxiety in adolescents are extracted based on the grey correlation degree. The correlation prediction model between accurate cognitive behavior therapy and adolescents’ social anxiety is established to complete the prediction research, diagnosis, and treatment effect. Simulation experiments show that the proposed method has good feasibility and high prediction accuracy. It can effectively alleviate the social anxiety of teenagers.
Computational Technologies for IoT Networks Application in English Classroom Teaching
Authors: Liu Haiying , Miao Yuji , Zhang Si
Published: July 2022

The purpose of this paper is to combine digital sensing technology with English character recognition in order to improve its overall effectiveness. In addition, this paper will comprehensively analyze the functional requirements of the digital system in teaching management and will clarify the functional goals that the digital system of teaching management needs to achieve. In addition, this study does an in-depth analysis of the many functions of the system and categorizes each of those functions into a number of distinct business operations. In addition, the English classroom teaching mode is improved with the help of machine learning, deep learning, and digital technology. In addition, an English classroom teaching system that is based on IoT Networks technology is constructed in this study. In addition to this, the study investigates the algorithmic flow of the functional structure modules of the system, develops each functional module of the system in detail, and elucidates the software design schemes at all levels connected to each functional module. In conclusion, the experimental research presented in this work validates the efficiency of the algorithm model presented in this paper. The findings of the study indicate that the digital English teaching system constructed in this work is effective, which supports the findings of the study.
Review and Challenges in the Geophysical Mapping of Coal Mine Water Structure
Authors: Yu Chuantao , Chen Weiying , Zhang Xi , Lei Kangxin
Published: July 2022

Generally, the water-bearing structures of coal mines mainly include coal seam, roof, coal seam, floor, and goaf, while the main water-conducting structures include faults, collapsed columns, and collapsed goaf areas. The most commonly used methods for the detection of the above structures include the seismic method, high-density electrical method, controlled source audio-frequency magnetotelluric method, and transient electromagnetic method. Theoretically, the seismic methods have a higher resolution, which can be used to determine the targets’ geometry, but unable to determine whether the target is filled with water, while the electromagnetic methods are capable of this, although with lower resolution. Therefore, it is necessary to adopt the comprehensive geophysical prospecting in the actual field measurement of the coal mine water to guarantee the detection accuracy. Based on this, in the passage, first, we introduced the characteristics of the water-bearing and water-conducting structures and then analyzed the detection results of different methods by examples. Finally, we pointed out that, first, it is essential to develop the mine or airborne methods for the sake of convenience; and second, it is time that we adopt three-dimensional detection technology, multisource and multiresolution detection technology, and electromagnetic big data technology for high accuracy.
Evaluation of College Basketball Teaching Based on Deep Learning
Authors: Fu Yulan
Published: July 2022

Physical education at college is the final step of school physical education, and it is critical to a student's educational experience. There are numerous issues such as the integration of existing teaching resources, combining the characteristics of basketball teaching to improve teaching quality, and the use of basketball as a means of lifelong physical exercise faced by college basketball teachers. To address these challenges, this research attempts to integrate the backpropagation (BP) neural network technique with its enhanced deep learning algorithm by adjusting the learning rate, adding more momentum items, increasing the excitation function, and other methods. A teacher’s effectiveness as a teacher is examined using numerous variables utilizing the suggested BP neural network assessment model for measuring teaching quality. In addition, the specific implementation of the improved BP neural network algorithm includes the determination of the number of BP neural network layers, the input data preparation method, and the number of neurons per layer. Finally, the simulation experiment evaluates the teacher’s teaching quality using the upgraded BP neural network.
Analysis and Study on Intelligent Tourism Route Planning Scheme Based on Weighted Mining Algorithm
Authors: Yu Yang
Published: July 2022

In order to study the intelligent tourism route planning scheme based on a weighted mining algorithm, firstly, a traveling salesman problem based on an improved weighted mining algorithm is proposed. Then, based on the traveling salesman problem, the constraints of travel time and driving time are added, and the mathematical model aiming at the minimum number of travel days is established. The improved weighted mining algorithm is used to solve the model: firstly, the scenic spots are divided into regions according to provinces and solved; then, the regions of some scenic spots are modified and solved again according to the solution results, and the specific itinerary is given; finally, based on the route planning problem and considering a variety of transportation modes, a double objective mathematical model with the optimal tourism cost and the best tourism experience is established. When solving, the double objective is reasonably transformed into a single objective, the model is solved by comprehensively considering the tourism cost and tourism experience, and the specific schedule is given according to the solution results.
ApiAP2 Gene-Network Regulates Gametocytogenesis in Plasmodium Parasites
Authors: Quansah Elvis , Pappoe Faustina , Shen Jilong , Liu Miao , Yang Shijie , Yu Li , Zhang Chao
Published: July 2022

Malaria is a mosquito-borne infectious disease, caused by unicellular Apicomplexan protozoa of the genus Plasmodium. The sexual stage of Plasmodium is one of the most fascinating aspects of the Plasmodium life cycle, yet relatively less explored until now. The production of sexually fit gametocytes through gametocytogenesis is essential to the transmission of the Plasmodium parasite into an anopheline mosquito vector. Understanding how gametocytogenesis is regulated promotes the identification of novel drug targets and also the development of transmission-blocking vaccines that would help reduce the disease burden in endemic areas. Transcriptional regulation in Plasmodium parasites is primarily controlled by a family of twenty-seven Apicomplexan Apetela 2 (ApiAP2) genes which act in a cascade to enable the parasite to progress through its asexual replication as well as gametocytogenesis. Here, we review the latest progress made on members of the ApiAP2 family characterized as key players of the transcriptional machinery of gametocytes. Further, we will highlight the transcriptional regulation network of ApiAP2 genes at each stage of gametocytogenesis.
Common Structure Mining of 3D Model Assembly Model Based on Frequent Subgraphs
Authors: Qiao Hu , Wang Xufan , Wang Zihao , Wang Liang , Xiang Ying
Published: July 2022

As an important data source of complex product design and manufacturing, 3D assembly model has accumulated a large number of 3D assembly models in various manufacturing industries under the background of widely used digital design technology. In order to make better use of reusable common structure information about 3D assembly model, reduce repetitive labor, and shorten product development cycles, a common structure mining method of 3D assembly models was proposed. Firstly, based on the attribute neighbourhood diagram of individual parts of the 3D assembly model, the information of the assembly feature attributes is maintained and the nonassembly feature attributes are simplified to form an attributed assembly feature neighbourhood diagram; then, based on the assembly relationship between the parts of the 3D assembly model, the attributed assembly feature neighbourhood diagrams of the parts are combined to form a 3D assembly model attribute neighbourhood diagram. Secondly, the common structure of the 3D assembly model is extracted by the frequent subgraph mining algorithm. Finally, a set of fixture models is used to verify the results, which show that this 3D assembly model common structure mining method can accurately and effectively explore the common structure information of the product and has good results.
Intelligent Hotel Resource Sharing System Based on Data Fusion
Authors: Jiang Weiwei , Liu Bin
Published: July 2022

In order to further develop cross-platform hotel resource sharing, a cross-platform comparative study of user review text of intelligent hotel resource sharing system based on data fusion is proposed. X hotel reservation platform and Z short-term rental platform were selected as the experimental objects, and 86,635 user comment texts of relevant housing sources in a city were collected. Cross-platform comparative analysis of user text comments was conducted by combining the LDA model-themed social network and the theme sentiment analysis method. The experiment result shows the following: Based on the emotional score of each theme, the positive, negative, and neutral emotional intensity values of hotel platform reviews were 0.76, 0.06, and 0.18, respectively, and the emotional intensity values of shared accommodation platform were 0.82, 0.05, and 0.11, respectively. The research finds the similarities and differences between the two platforms in the social network and emotion of the topic and explains the substitutability and complementarity of the two platforms in products and services from the perspective of microuser comments. Conclusion. This study provides an important practical reference for platform managers to develop and improve accommodation products and services.
Effect of Vitamin D Combined with Recombinant Human Growth Hormone in Children with Growth Hormone Deficiency
Authors: Wang Pingping , Jin Xuefeng , Zhang Yan , Zhang Jianmei , Li Yunfang , Yang Suhong , Li Dan
Published: July 2022

Objective. Growth hormone deficiency (GHD) refers to the complete or partial lack of pituitary growth hormone synthesis and secretion. This study is aimed at investigating the efficacy of vitamin D and recombinant human growth hormone (rhGH) in children with GHD. Methods. A total of 100 children with GHD at our hospital were included between 1st January 2018 and 31st October 2020. The patients were divided into a study group (

n
=
70

, received vitamin D combined with rhGH) and a control group (

n
=
30

, received rhGH). The growth and development (bone age, growth rate, and height), bone metabolism (bone alkaline phosphatase (BAP), β-collagen degradation product (β-CTX), osteocalcin (OC), and amino-terminal propeptide type I procollagen (PINP)), insulin-like growth factor 1 (IGF-1), ghrelin, and adverse reactions in the two groups were measured before and 12 months after treatment. Results. There were no significant differences in the bone age, growth rate, and height between the two groups before treatment. After 12 months of treatment, the bone age, growth rate, and height of the study group were significantly higher than those of the control group. After 12 months of treatment, the levels of serum BAP, PINP, and OC in the study group were significantly higher than those in the control group, while the levels of β-CTX in the study group were significantly lower than those in the control group. The serum IGF-1 level in the study group was significantly higher than that in the control group, while the ghrelin level in the study group was lower. There was no significant difference in the incidence of adverse reactions between the two groups. Conclusion. Combined rhGH and vitamin D treatment can promote growth and development, improve bone metabolism, and regulate IGF-1 and ghrelin levels.