bluuebunny/crossref_metadata_2025 huggingface dataset:
Non-tuberculous mycobacterial thoracic osteomyelitis in an immunocompetent host: a rare presentation ofMycobacterium kansasii
Authors: Becker Taylor , Smith Matthew , Parsons Meredith , Goto Michihiko
Published: May 2022

An immunocompetent man in his 40s presented with 3 months of mid-thoracic back pain which progressed to include progressive paraesthesias and lower extremity weakness. Investigations revealed thoracic spine osteomyelitis with signs of cord compression. He underwent neurosurgical intervention, including laminectomy, spinal cord decompression and partial resection of an epidural mass. Initial intraoperative biopsy and surgical pathology results were concerning for an acid-fast bacillus as the causative pathogen, and the patient was given empiric therapy for presumedMycobacterium tuberculosis. However, microbiology speciation revealed the presence of the non-tuberculous mycobacterium (NTM)Mycobacterium kansasii, which resulted in an alteration of his antimicrobial therapy. This case highlights the importance of considering NTM as a possible aetiology of spinal osteomyelitis, even among immunocompetent individuals or in low-prevalence regions.
The process of developing health workforce strategic plans in Africa: a document analysis
Authors: Nyoni Jennifer , Christmals Christmal Dela , Asamani James Avoka , Illou Mourtala Mahaman Abdou , Okoroafor Sunny , Nabyonga-Orem Juliet , Ahmat Adam
Published: May 2022

Background

Many countries are faced with a multitude of health workforce-related challenges partly attributed to defective health workforce planning. Earlier efforts to guide the process and harmonise approaches to national health workforce policies and planning in the Africa Region included, among others, the development of the WHO Africa Regional Office (WHO/AFRO) Policies and Plans for Human Resources for Health Guidelines for Countries in the WHO African Region in 2006. Although this guideline has led to uniformity and rigour in developing human resources for health (HRH) policies and strategies in Africa, it has become imperative to synthesise the emerging evidence and best practices in the development of health workforce strategies.

Methods

A document analysis was conducted using the READ (Readying materials;Extracting data;Analysing data andDistilling) approach.

Results

Fourteen HRH policy/strategic plans were included in the study. The scope of the HRH strategic plans was described in three dimensions: the term of the strategy, sectors covered by the strategy and the health workforce considered in the projections. We found that HRH strategic plan development can be conceptualised as a cyclical, sequential multimethod project, with one phase feeding the subsequent phase with data or instructions. The process is very complex, with different interest groups and sectors that need to be satisfied. The HRH strategic plan development process comprises five main phases linked with external forces and national politics.

Conclusion

There is a need for accurate and comprehensive HRH data collection, astute HRH leadership, and broad base and multisectoral stakeholder consultation with technical support and guidance from experts and major external partners for effective HRH strategic plan development.
Predictors of treatment response in a lupus nephritis population: lessons from the Aspreva Lupus Management Study (ALMS) trial
Authors: McDonald Stephen , Yiu Sean , Su Li , Gordon Caroline , Truman Matt , Lisk Laura , Solomons Neil , Bruce Ian N
Published: May 2022

Objectives

To identify predictors of overall lupus and lupus nephritis (LN) responses in patients with LN.

Methods

Data from the Aspreva Lupus Management Study (ALMS) trial cohort was used to identify baseline predictors of response at 6 months. Endpoints were major clinical response (MCR), improvement, complete renal response (CRR) and partial renal response (PRR). Univariate and multivariate logistic regressions with least absolute shrinkage and selection operator (LASSO) and cross-validation in randomly split samples were utilised. Predictors were ranked by the percentage of times selected by LASSO and prediction performance was assessed by the area under the receiver operating characteristics (AUROC) curve.

Results

We studied 370 patients in the ALMS induction trial. Improvement at 6 months was associated with older age (OR=1.03 (95% CI: 1.01 to 1.05) per year), normal haemoglobin (1.85 (1.16 to 2.95) vs low haemoglobin), active lupus (British Isles Lupus Assessment Group A or B) in haematological and mucocutaneous domains (0.61 (0.39 to 0.97) and 0.50 (0.31 to 0.81)), baseline damage (SDI>1 vs =0) (0.38 (0.16 to 0.91)) and 24-hour urine protein (0.63 (0.50 to 0.80)). LN duration 2–4 years (0.43 (0.19 to 0.97) vs <1 year) and 24-hour urine protein (0.63 (0.45 to 0.89)) were negative predictors of CRR. LN duration 2–4 years (0.45 (0.24 to 0.83) vs <1 year) negatively predicted PRR. The AUROCs of models for improvement, CRR and PRR were 0.56, 0.55 and 0.51 respectively.

Conclusions

Baseline variables predicted 6-month outcomes in patients with SLE. While the modest performance of models emphasises the need for new biomarkers to advance this field, the factors identified can help identify those patients who may require novel treatment strategies.
The mechanical behaviour of Bolders Bank till
Authors: Ushev Emil , Jardine Richard
Published: May 2022

Advanced sampling and testing techniques are applied to assess the mechanical behaviour of a stiff, silt-and-clay dominate, stony, low plasticity UK till whose genesis and post-depositional history imparted complex profiles of yielding pressures and shear strengths that differ considerably from those of K0 consolidated waterborne sediments. It is shown that the till reaches the limits of its elastic behaviour and undergoes Y1 yielding at very small strains, after which stiffness is nonlinear. Tests reach stable critical state failures at strains exceeding 25%. The Y1 yield surface is kinematic and, once engaged, travels with the effective stress path, as does a second Y2 surface. Stiffnesses vary with mean effective stress raised to fractional exponent ≈0.5. The till displays far more marked sample size dependency and anisotropy in stiffness than in shear strength. It also shows significantly strain-rate dependent behaviour and displays an isotach response. The main features of the till’s shear strength and dilatancy behaviour can be synthesised within a critical state based interpretive framework that brings field and in situ testing outcomes together with laboratory experiments conducted over a wide range of stress levels and overconsolidation ratios, considering both natural and reconstituted specimens.
Fluid sources and mineralizing processes in greenstone belts: a stable isotope (O, H) comparison between the weakly mineralized Moly-Desgagné–Guercheville system and Val-d’Or orogenic gold deposits, Canada
Authors: Kieffer Marie A. , Scheffer Christophe , Quesnel Benoît , Bedeaux Pierre , Beaudoin Georges , Mathieu Lucie , Gaboury Damien
Published: May 2022

In orogenic gold systems, the source of the fluids and the processes leading to mobilization, transport, and deposition of gold remain debated. Most studies focus on endowed rather than on gold-poor orogenic systems to unravel the “key” parameters of gold mineralizing processes. Here, we present stable isotope (O, H) data from the Moly-Desgagné–Guercheville fault system (gold-free to low gold endowment) in the Chibougamau area, Abitibi greenstone belt, Canada. The gold-free Moly-Desgagné showing and nearby poorly endowed Hazeur showing and Monster Lake deposit share similar features typical of orogenic systems. The stable isotope compositions of tourmaline and quartz from the Moly-Desgagné–Guercheville fault system also display similar characteristics, such as (1) temperature of vein formation of 345 ± 86 °C (1σ); (2) fluid mixing between an upper crustal reservoir (low T – high δD – low δ18O) and a metamorphic water reservoir (high T – low δD – high δ18O); and (3) positive δDfluid values consistent with multiple boiling-condensation cycles related to fault-valve processes. These characteristics are similar to those from the gold-endowed Val-d’Or vein field. The difference in gold endowment between the Moly-Desgagné–Guercheville and Val-d’Or vein fields may be related to the nature of the fault system (i.e., terrane-bounding or “intragreenstone belt”) and the volume and (or) composition (i.e., gold, its ligands, CO2) of the fluid source rocks.
Influence of maternity penning on the success and timing of parturition by mountain caribou (Rangifer tarandus caribou)
Authors: Mueller M. , Johnson C.J. , McNay R.S.
Published: May 2022

Invasive conservation actions that require the capture and handling of individual animals are common, but the implications for both survival and reproduction are often not studied. Across North America, most populations of woodland caribou ( Rangifer tarandus caribou (Gmelin, 1788)) are Threatened or Endangered. Maternity penning, where pregnant females are held in an enclosure until the calf is less vulnerable to predation, is one conservation action that is designed to increase population growth. Few studies have reported the influence of maternity penning on the occurrence or timing of parturition and the implications for reproduction. We quantified parturition success and dates of penned and free-ranging caribou within the Klinse-Za population of caribou found across east-central British Columbia, Canada. Parturition dates were identified using daily observations for penned caribou ( n = 41) and estimated dates for free-ranging caribou ( n = 27) generated using statistical modelling of GPS collar data. We related parturition outcomes to a range of ecological and environmental variables. We found that the occurrence and date of parturition did not differ between penned and free-ranging caribou. For all monitored animals there was an earlier calving date during years of higher snowfall and warmer winter weather. Our results suggested that maternity penning, a potentially invasive conservation action, did not increase or decrease the probability or date of parturition for this study population.
Differential behavioral responses of benthic and nektonic tadpoles to predation at varying water depths
Authors: de Souza Yasmim Caroline Mossioli , Annibale Fabiane Santana , Carvalheiro Luísa Gigante , Vasconcelos Tiago Silveira , Rossa-Feres Denise de Cerqueira
Published: May 2022

Predators influence microhabitat selection and activity level of tadpoles, but it is still unclear how such responses to predators differ among species and how water column's depth influences this predator–prey interaction. Here, we experimentally tested whether the presence of Odonata water nymphs influenced the spatial use and activity of benthic and nektonic tadpoles in different food availability contexts. Benthic tadpoles occupied and consumed more food at the bottom level, irrespective of predator's presence. However, when predators were at the bottom, benthic tadpoles remained close to the cages, suggesting a typical “stay-still” defensive behavior known for Physalaemus nattereri (Steindachner, 1863). Nektonic tadpoles occupied shallower depths on predator presence, and they also consumed less food and avoided the predator by selecting food sources far from it. When the predator was at the bottom level and food was available, the distance of tadpoles to the cage tended to be smaller. Scinax fuscovarius (Lutz, 1925) tadpoles were more active when food was absent regardless of predator's presence. When food was available, these tadpoles generally occupied and consumed more food at the bottom level. Tadpole responses depended not only on predator presence but also on a complex net of factors, which included tadpole habit, antipredatory behavior, and availability and location of food.
Enhancing quantum teleportation fidelity under decoherence via weak measurement with flips
Authors: Harraz Sajede , Cong Shuang , Nieto Juan J.
Published: May 2022

Noiseless quantum channels are critical to share a pure maximally entangled state for performing an ideal teleportation protocol. However, in reality the shared entanglement severely degraded due to decoherence. In this paper, we propose a quantum teleportation channel protection scheme to enhance the teleportation fidelity in presence of decoherence. Before the entangled pair enters the decoherence channel, the weak measurement and flip operations are applied to transfer the qubit to a more robust state to the effects of the noise. After the decoherence channel the reversed flip operations and weak measurement reversal are applied to recover the initial state. We illustrate our protected teleportation scheme and compare it with a protocol based on weak measurement reversal. The numerical results show that the average teleportation fidelity of our proposed scheme can be significantly improved. Although the proposed entanglement protection scheme is probabilistic, after a successful entanglement transmission, we use the standard teleportation protocol which has probability one.
NEXUS OF CORPORATE ENVIRONMENTAL STRATEGY, ENVIRONMENTAL PERFORMANCE, AND FINANCIAL PERFORMANCE
Authors: ASLAM SHOAIB , REHMAN RAMIZ UR , NAEEM MUHAMMAD ABUBAKR , TAGHIZADEH-HESARY FARHAD
Published: May 2022

The interrelationships among environmental strategy, environmental performance and financial performance have become a subject of ongoing debate. This study investigates the association between environmental strategies and environmental performance by utilizing the generalized method of moments technique to analyze a dataset of listed firms from 2007 to 2018. From a neo-institutional theory perspective, the findings are four-fold. First, environmental strategies are negatively correlated with financial performance. Second, the environmental performance has inversed relationship with financial performance. Third, there is a significant and positive association between the adoption of environmental management practice and environmental performance. Finally, the environmental expenditure-environmental management practice nexus is positively moderated by environmental audits.
Relativistic charged stellar model of the Pant interior solution via gravitational decoupling and Karmarkar conditions
Authors: Pant Neeraj , Gedela Satyanarayana , Ray Saibal , Sagar Kumar Gaurav
Published: May 2022

This paper explores a new embedding anisotropic charged version of a solution to Einstein–Maxwell field equations in four-dimensional spacetime through the Karmarkar conditions and the gravitational decoupling via minimal geometric decoupling (MGD) technique by choosing Pant’s interior solution [Astrophys. Space Sci. 331, 633 (2011)] as a seed solution to coupled system. Later, we integrate the coupled system within the MGD and explore a family of solutions to represent the realistic structure of nonrotating compact objects. Through the matching of the interior solutions so obtained to the exterior Reissner–Nordström metric, we tune the arbitrary constants for feasible models. After that, we subject our model to a rigorous test for a chosen parameter space to verify the physical viability of the solution for the neutron stars in EXO 1785-248 for a range of values of the decoupling constant [Formula: see text]. Further, we prove that the constant [Formula: see text] is inherently connected to critical physical properties such as the gravitational and surface redshifts, compactification factor, mass/radius relation, etc., of the same compact star candidate EXO 1785-248. The solutions thus obtained exhibit physically viable features which are thoroughly demonstrated through graphical plots.
Influence of gamma radiation on current density and volt–ampere characteristics of metallic zirconium
Authors: Agayev Teymur , Imanova Gunel , Aliyev Anar
Published: May 2022

The effect of preliminary radiation-oxidative treatment on the current density and current–voltage characteristic of metallic zirconium has been studied. The contribution of preliminary radiation-oxidative treatment to the change in the electrophysical characteristics during thermal and radiation–thermal tests in the contact of zirconium with water is revealed.
Effective thermal conductivity measurement of PCM composites during phase transition by using the transient plane source method
Authors: Yang Xuri , Yue Kai , Han Dongxu , Zhang Xinxin
Published: May 2022

The thermal conductivity of phase change materials (PCMs) during phase transitions is of great significance to the evaluation of the thermal performance of energy-saving buildings. Based on the transient plane source method, a method for measuring the effective thermal conductivity of PCM composites was proposed, by which the variations in effective thermal conductivity with liquid fraction and temperature during phase transitions can be obtained. The correctness of the proposed method was verified through matched simulation experiments. Three kinds of PCM samples were prepared for experimental measurement on the basis of the direct incorporation method, and the volume proportions of decanoic acid to gypsum were set to 10%, 12%, and 15%. The phase transition regions and latent heat values of these PCM samples were measured using the differential scanning calorimetry technique. Results showed that the effective thermal conductivity of the PCM first increased and then decreased during the phase transition. As the fraction of PCM content increased, the phase transition regions gradually expanded, and the effective thermal conductivity changed more drastically. The good measurement repeatability demonstrated the feasibility of this method for measuring the effective thermal conductivity of composites during phase transition.
Analytical study of nonlinear water wave equations for their fractional solution structures
Authors: Zafar Asim , Inc Mustafa , Shakeel Muhammad , Mohsin Muhammad
Published: May 2022

This paper examines the three-dimensional nonlinear time-fractional water wave equations for their analytical wave solutions. These are the equations of the names [Formula: see text]-Zakharov–Kuznetsov–Burgers equation and [Formula: see text]-Yu–Toda–Sasa–Fukuyama equation. The obtained wave solutions are in the form of kink, periodic and singular waves by utilizing the [Formula: see text]-expansion approach. The aforesaid solutions are verified and demonstrated graphically via symbolic soft computations.
The wave attenuations in phononic crystals based on unit cell and supercell relationship
Authors: Li J. R. , Guo J. C. , Zhang Z.
Published: May 2022

The reduction of the periodicity of phononic crystals (PnCs) usually leads to the decrease of band gap (BG) width. However, a systematic study of the relationship between the unit cell and the supercell in the proposed hybrid stepped PnCs shows that the BG width can be increased in special cases. How the periodicity of PnCs affects the final BG characteristics is important for the design of PnCs with high structural performance. Supercell of PnCs with imperfections from the rotation of the unit cell was used to demonstrate the relationship between the unit cell and the supercell, which was further used for the wave attenuations of the proposed hybrid stepped PnCs. The rotation angle and the number of the rotating scatterers can be controlled for better structural performance for the PnCs. The different changes of the equivalent stiffness corresponding to the starting and the end frequencies lead to the increase of the BG width when the ration angle of the unit cell is [Formula: see text] in the supercell composed of zigzag scatterers and cross scatterers. The rotation of the unit cell in the supercell leads to the decrease of the starting frequency.
Thermophysical behavior in Y2O3 under high intensity fast neutron irradiation
Authors: Dashdemirov A. O. , Huseynov J. I. , Rzayev R. F. , Alıyev Y. I.
Published: May 2022

In this work, differential scanning calorimetric (DSC) analyses were performed in an Ar inert medium in the temperature range of 100–750 K for the Y2O3 compound with the purity rate of 99.99%, the density in powder form is 0.069 g/cm3, the specific surface area is 100–150 m2/g, the particle size is in the range of 8–10 nm irradiated with fast neutrons with different intensities ([Formula: see text] MeV). Using mathematical approximation methods, the equations of dependence of the heat flux function on temperature and heat capacity after irradiation at different intensities for the Y2O3 compound over a wide temperature range were determined. It was found that in the temperature range of [Formula: see text] K, the value of the heat flux increases by 16.6%, up to 86 mW for the case of maximum radiation. At all radiation intensities, anomalies recorded with very small changes were observed in the spectra of the heat flux function related to the internal structural transitions.
AN OVERVIEW OF BENEFITS AND RISKS IN OPEN INNOVATION PROJECTS AND THE INFLUENCE OF INTERMEDIARY PARTICIPATION, DECISION-MAKING AUTHORITY, EXPERIENCE, AND POSITION ON THEIR PERCEPTION
Authors: ULLRICH ANDRÉ , VLADOVA GERGANA , MARQUART DANNY , BRAUN ANDREAS , GRONAU NORBERT
Published: May 2022

This paper presents an exploratory study investigating the influence of the factors (1) intermediary participation, (2) decision-making authority, (3) position in the enterprise, and (4) experience in open innovation on the perception and assessment of the benefits and risks expected from participating in open innovation projects. For this purpose, an online survey was conducted in Germany, Austria and Switzerland. The result of this paper is an empirical evidence showing whether and how these factors affect the perception of potential benefits and risks expected within the context of open innovation project participation. Furthermore, the identified effects are discussed against the theory. Existing theory regarding the benefits and risks of open innovation is expanded by (1) finding that they are perceived mostly independently of the factors, (2) confirming the practical relevance of benefits and risks, and (3) enabling a finer distinction between their degrees of relevance according to respective contextual specifics.
Nudging Green Preferences: Evidence from a Laboratory Experiment
Authors: Permana Yudistira Hendra , Sanjaya Muhammad Ryan
Published: May 2022

Environmental degradation has been one of the major global concerns in the last few decades. Efforts are made to improve our environment including how to alter consumers’ preferences toward the use of environmental-friendly products. We conduct an online laboratory experiment to investigate the effectiveness of information and nudges regarding green products using social (cultural) identity-specific campaigns. Our study shows that information and green nudges are unable to alter subjects’ risk aversion and time preference. However, green nudges are effective to motivate subjects to allocate more to green product and that differs the effectiveness between information and green nudges in our context. Lastly, we find that some green perceptions are associated with subjects’ willingness to pay for green products and characteristics. We conclude with a discussion of how to effectively deliver nudges in promoting green consumption.
THE DETERMINANTS OF MICROFINANCE INSTITUTIONS EFFICIENCY: THE ROLE OF WOMEN BORROWERS
Authors: HAINI HAZWAN , ANASTASIOU ZOË
Published: May 2022

Microfinance institutions (MFIs) are instrumental in enabling the economic empowerment of women. We examine the efficiency and performance of 84 Indian MFIs from 2016 to 2018 using a two-stage double bootstrap approach. Our results show that MFIs with increased outreach and actively target female borrowers achieve higher efficiency. Furthermore, we find larger MFIs and higher leverage intensity to be positively associated with efficiency. Government policies should be encouraged to support current MFIs to grow larger, actively target female borrowers and increase outreach to the poor to support India’s financial inclusion agenda and facilitate the economic empowerment of women whist revitalizing less efficient MFIs.
Machine-learning mathematical structures
Authors: He Yang-Hui
Published: May 2022

We review, for a general audience, a variety of recent experiments on extracting structure from machine-learning mathematical data that have been compiled over the years. Focusing on supervised machine-learning on labeled data from different fields ranging from geometry to representation theory, from combinatorics to number theory, we present a comparative study of the accuracies on different problems. The paradigm should be useful for conjecture formulation, finding more efficient methods of computation, as well as probing into certain hierarchy of structures in mathematics. Based on various colloquia, seminars and conference talks in 2020, this is a contribution to the launch of the journal “Data Science in the Mathematical Sciences.”
An Efficient Electrochemical Polishing Method with Planarization Ability Employing Solid and Liquid Electrolytes
Authors: Zhang Chao , Zhou Ping , Yan Ying , Guo Dongming
Published: May 2022

Stress-free polishing is the most potential machining method for high quality surfaces without surface defects. Traditional electrochemical polishing (L-ECP) is immersed in a liquid electrolyte to realize stress-free polishing. However, due to the limitation of its polishing principle, the electrochemical polishing process cannot improve the surface shape accuracy of the workpiece so far. In this work, a new method solid-liquid electrolyte electrochemical polishing (SL-ECP) for electrochemical polishing assisted by a solid electrolyte polishing pad is proposed. Power spectral density (PSD) of the profile of polished surfaces were compared, and it was found that the low-spatial-frequency error was reduced by contacting the flat solid electrolyte surface with the workpiece surface. After SL-ECP, the roughness S
a of the workpiece decreased from the initial 82.83 nm to 2.92 nm (10 μm × 10 μm), and the peak-to-valley value of the entire workpiece surface decreased from the initial 16.39 μm to 1.81 μm. And the material removal rate of SL-ECP was 35 times that of L-ECP using the same liquid electrolyte. This study not only proposes an efficient stress-free polishing method for high-quality surfaces, but also contributes to further understanding of the mechanism of electrochemical polishing.
Proteomic analysis of the ATP synthase interactome in notothenioids highlights a pathway that inhibits ceruloplasmin production
Authors: Ebanks Brad , Katyal Gunjan , Lucassen Magnus , Papetti Chiara , Chakrabarti Lisa
Published: May 2022

Antarctic notothenioids have unique adaptations that allow them to thrive in subzero Antarctic waters. Within the suborder Notothenioidei, species of the family Channichthyidae (icefish) lack hemoglobin and in some instances myoglobin too. In studies of mitochondrial function of notothenioids, few have focused specifically on ATP synthase. In this study, we find that the icefish Champsocephalus gunnari has a significantly higher level of ATP synthase subunit α expression than the red-blooded Notothenia rossii, but a much smaller interactome than the other species. We characterize the interactome of ATP synthase subunit α in two red-blooded species Trematomus bernacchii, N. rossii, and in the icefish Chionodraco rastrospinosus and C. gunnari and find that, in comparison with the other species, reactome enrichment for C. gunnari lacks chaperonin-mediated protein folding, and fewer oxidative-stress-associated proteins are present in the identified interactome of C. gunnari. Reactome enrichment analysis also identifies a transcript-specific translational silencing pathway for the iron oxidase protein ceruloplasmin, which has previously been reported in studies of icefish as distinct from other red-blooded fish and vertebrates in its activity and RNA transcript expression. Ceruloplasmin protein expression is detected by Western blot in the liver of T. bernacchii, but not in N. rossii, C. rastrospinosus, and C. gunnari. We suggest that the translation of ceruloplasmin transcripts is silenced by the identified pathway in icefish notothenioids, which is indicative of altered iron metabolism and Fe(II) detoxification.
Blockchain-Based Neural Network Model for Agricultural Product Cold Chain Coordination
Authors: Gao Zhenghao , Li Dan
Published: May 2022

This paper adopts a blockchain fusion neural network algorithm to conduct an in-depth study on the model of agricultural cold chain coordination. We aim to enable HDFS to meet the demand of storing many small files of various types generated by various stages of agricultural cold chain coordination and then propose an improved balanced merging and index caching strategy based on file types and size grouping. The main three modules are the file preprocessing module, file balanced merging module, and index caching module. The experimental results show that this method can significantly improve the overall performance of HDFS when storing and reading large amounts of small files. Simulation experiments using the UCI test dataset show that the improved spectral clustering algorithm not only reduces the error rate but also significantly reduces the time spent on the clustering process, demonstrating the effectiveness and feasibility of the improved spectral clustering algorithm. The improved spectral clustering algorithm of this paper is used to cluster and analyze nearly one thousand cold chain coordination-related data, and the optimal city is successfully selected as the construction point of a large cold storage transit station. This study can effectively improve the efficiency of cold chain coordination resources and their time utilization and maximize the profit creation for cold chain coordination enterprises, selecting data features for prediction, experimenting with different models and parameters to optimize accuracy, and embedding the resulting learning system for prediction and further operations. The two models of coordination market demand forecasting models and methods are analyzed separately. Finally, after analyzing the prediction results of the two different prediction methods, it is found that it conforms to the actual situation of coordination development in Jiangxi Province. It shows that the coordination market prediction model established in this paper is meaningful and the prediction analysis made has some practical value.
Effects of Ganoderic Acid A on Gastrointestinal Motility and Brain-Gut Peptide in Rats with Functional Dyspepsia
Authors: Yang Wei , Liu Rui , Zhou LinHua , Chen Xiao , Hu YanYan
Published: May 2022

Objective. The therapeutic effect of drugs for functional dyspepsia (FD) is still limited. Ganoderic acid A (GAA) has anti-inflammatory and cellular protective activities. The aim of this study is to explore the therapeutic effect of GAA on FD. Methods. The FD rat model was established via tail damping and forced exercise fatigue. The gastric emptying rate and intestinal propulsion rate of the rats in each group were then detected, and the pathological damage of gastric antrum and duodenum tissues was observed by hematoxylin-eosin (HE) staining. An enzyme-linked immunosorbent assay (ELISA) was conducted to determine the levels of motilin (MTL), vasoactive intestinal peptide (VIP), leptin, gastrin (GAS), calcitonin gene-related peptide (CGRP), and somatostatin (SS) in plasma, and Western blot was used to detect the protein expression levels of occludin, zonula occluden-1 (ZO-1), and junctional adhesion molecule-1 (JAM-1) in the duodenal tissue. Results. Treatment with GAA significantly raised the gastric emptying rate and intestinal propulsion rate of FD rats and histologically alleviated the gastric and duodenal damage. Meanwhile, GAA positively regulated the secretion of brain-gut proteins, such as upregulation of MTL, GAS, and SS and downregulation of VIP, leptin, and CGRP. In addition, GAA treatment increased the protein expression levels of occludin, ZO-1, and JAM-1 in the duodenal tissue of the FD rats. Conclusion. GAA may exhibit protective effects on FD by regulating the secretion of brain-gut peptide, protecting the intestinal barrier and improving gastrointestinal motility.
Application of Color Doppler Ultrasound in Microscopic Imaging Diagnosis of Adenomyosis
Authors: Zhu Jianchang , Liu Shuang , Gao Dandan
Published: May 2022

In order to explore the value of color Doppler ultrasonography (TVCDS) in the diagnosis and differential diagnosis of adenomyosis. A total of 150 patients with adenomyosis admitted to a hospital from January 2020 to December 2021 were selected, taking transvaginal three-dimensional color Doppler ultrasound and abdominal ultrasound for examination, all results were compared with patient pathology or surgical results, in order to compare the accuracy of the two inspection methods. The positive predictive value of three-dimensional color Doppler ultrasonography was higher than that of abdominal ultrasonography, and the difference was statistically significant (

P
<
0.05

). The coincidence rate, sensitivity, and specificity of three-dimensional color Doppler ultrasonography were higher than those of abdominal ultrasonography, while the misdiagnosis rate was lower than that of abdominal ultrasonography, and the differences were statistically significant (all

P
<
0.05

). The imaging features of vaginal three-dimensional color Doppler ultrasound in patients with adenomyosis are mainly enlarged uterus, slightly stronger echoes in the myometrium with enhanced echogenic spots, and short or short branch blood flow signals in the lesions. After statistical analysis, there was a significant difference in the blood flow changes between benign and malignant endometrial echoes and abnormal echoes in the uterine cavity,

P
<
0.05

. Normal endometrium and benign intrauterine lesions mainly showed no blood flow signal, while malignant lesions in the uterine cavity mostly showed changes in blood flow signal. Compared with abdominal examination, transvaginal color Doppler ultrasonography has obvious advantages in the diagnosis of adenomyosis. According to the characteristics of ultrasound images, blood flow distribution, frequency spectrum, etc., it can provide a more accurate basis for clinical timely, provide the identification points of uterine fibroids, and provide help for clinicians to choose a treatment plan.
Pricing Decisions and Online Channel Selection Strategies in Dual‐Channel Supply Chains considering Block Chain
Authors: Li Qiang , Li Huanling
Published: May 2022

Pricing decisions and online channel selection strategies are playing an increasingly important role in e‐commerce. In this paper, we consider two different types of dual‐channel supply chain sales models, namely, an online direct + online distribution sales model consisting of an online direct sales channel and online distribution sales channel and an online direct + delegation sales model consisting of an online direct sales channel and an online delegation sales channel. By introducing the customer sensitive coefficient and block chain technology into these dual‐channel supply chain sales models, we analyzed pricing decisions and online channel selection strategies in dual‐channel supply chains in terms of the adoption and nonadoption of block chain technology. In the two different dual‐channel sales models, the results showed that (1) without block chain technology, retail prices increase when the manufacturer’s unit retail cost increases; (2) with block chain technology, retail prices are higher than those of sales models that do not adopt block chain technology; and (3) with block chain technology, the manufacturer should choose the online direct + delegation sales model to sell its products.
An English Diagnostic Intelligence Evaluation Model Based on Organizational Evolutionary Information Entropy
Authors: Sang Haiying
Published: May 2022

English is widely used as a universal language in the world, but there are still great limitations in the diagnosis and evaluation of English, which leads to serious errors in the actual use of English. In order to realize the English diagnostic intelligence evaluation, improve the English learning ability, and construct the cognitive framework of English learning, this study proposes an English diagnostic intelligence evaluation model based on the organizational evolution information entropy. Firstly, this study adopts the HRNet text feature extraction model and uses the pretrained model to extract text features from text. Secondly, this study adopts the organizational evolution algorithm to simulate the process of sorting, merging, and cooperating in the evolution of the population and classify and organize the characteristic population. Finally, the information entropy method is used to represent the amount of information contained in each feature for evaluation, and the optimal solution is found. The method proposed in this study has good experimental results in actual testing and comparison and can basically realize the function of English diagnostic intelligence evaluation.
Extraction of Long Time-Series Vegetation Indices from Combined Multisource Satellite Imagery
Authors: Liu Yu , Li Wenqing , Li Li , Zhang Naiqun
Published: May 2022

Extracting vegetation cover information by combining multisource satellite images can improve the time scale of vegetation cover monitoring, realize encrypted observation in short period, and shorten the regional vegetation remote sensing monitoring cycle. The NDVI and RVI datasets from 2007–2019 were extracted using 9 phases of multisource satellite images (Landsat TM/OLI, Sentinel-2 MSI, and GF-1 PMS) covering Xiaxi, Sichuan. Three typical validation sites representing higher vegetation cover in mountains and no vegetation cover in water bodies in the region, respectively, were selected to extract NDVI and RVI at the corresponding locations. Linear regression and Spearman correlation coefficient (ρ) analysis were used to verify the correlation between NDVI and RVI from multisource images. The results showed that the vegetation indices fluctuated smoothly in the time series within the validation sites, and the vegetation indices of multisource satellite images were good measures of long-term vegetation cover in the region; the vegetation indices of the same satellite images showed significant correlations (both R2 and ρ exceeded 0.8), and the vegetation indices of different satellite images (PSM and MSI, PSM and OLI) showed more significant correlations (both R2 and ρ exceeded 0.7); the smaller the difference between the original resolutions of satellite images, the more significant the correlation between the extracted NDVI and RVI.
Intelligent Algorithm‐Based MRI Image Features for Evaluating the Effect of Nursing on Recovery of the Neurological Function of Patients with Acute Stroke
Authors: Wang Ding , Dai Jingwei
Published: May 2022

The aim of this study is to analyze the application of early rehabilitation nursing in nursing intervention of neurological impairment among patients with acute ischemic stroke. 116 patients with acute ischemic stroke were selected as the research subjects in this paper. The patients were divided into 58 experimental (early rehabilitation care) and 58 control (routine rehabilitation care) groups according to the difference of care protocols, all of which were performed magnetic resonance imaging on. An image resolution reconstruction algorithm on the basis of deep convolutional neural network is proposed for MRI image processing. The results show that peak signal to noise ratio (PSNR) and structural similarity index measure (SSIM) of the included algorithm were remarkably greater than those of compressed sensing (CS) algorithm and nonlocal similarity and block low rank prior‐based NSBL algorithm. Running time was shorter than that of the latter two algorithms (P < 0.05). The neurological impairment scores of patients in the experimental group 3 and 5 weeks after treatment were obviously lower than those of patients in the control group (P < 0.05). The Barthel indexes of patients in the experimental group 3 and 5 weeks after treatment were obviously higher than those of patients in the control group (P < 0.05). FugI‐Meyer assessment (FMA) and Disability of Arm‐Shoulder‐Hand (DASH) scores of patients in the experimental group 3 and 5 weeks after treatment were obviously lower than those of patients in control group (P < 0.05). The results show that the deep learning algorithm for MRI image processing performance is better than the traditional algorithm. It not only improves the image quality but also improves the processing efficiency. Early rehabilitation nursing and routine rehabilitation nursing can effectively improve the neurological deficit symptoms, limb motor function, and daily living ability of patients with acute ischemic stroke, and the effect of early rehabilitation nursing is the best.
A South African Breast Implant-Associated Anaplastic Large Cell Lymphoma: Clinical Presentation and Six-Year Follow-Up
Authors: Grubnik Alexandra , Ramdas Yastira , Van der Bergh Barend , Nayler Simon , Benn Carol-Ann , Rapoport Bernardo L.
Published: May 2022

Breast augmentation is the most common surgical procedure for women globally, with 1,795,551 cases performed in 2019. Breast implant-associated anaplastic large cell lymphoma (BIA-ALCL) is highly uncommon, with 733 reported cases as of January 2020. In South Africa, there are less than 4000 breast augmentation surgeries annually. This case presents the first case report documentation of a South African woman diagnosed with BIA-ALCL. The patient was a 61-year-old woman who consulted the Breast Care Centre of Excellence in Johannesburg in 2015. She had a prior history of bilateral augmentation mammoplasty with subsequent implant exchange. The patient presented with periprosthetic fluid with a mass-like enhancement on the left breast. Aspiration of the mass-like fluid was positive for CD45, CD30, and CD68 and negative for CD20 and ALK-1, indicative of BIA-ALCL. Surgical treatment included bilateral explantation, complete capsulectomies, and bilateral mastopexy. Macroscopic examination of the left breast capsulectomy demonstrated fibrous connective tissue. The histological examination of the tumor showed extensive areas of broad coagulative necrosis with foamy histiocytes. Immunohistochemistry examination of this tumor showed CD3-, CD20-, and ALK-1-negative and CD30- and CD68-positive stains. PCR analysis for T-cell clonality showed monoclonal T-cell expansion. These findings confirm the presence of BIA-ALCL. The patient recovered well after surgery and did not require adjuvant therapy. A patient with a confirmed diagnosis of BIA-ALCL was successfully treated with explantation and complete capsulectomy. She was followed up regularly for six years, and the patient remains well and in remission.
Research on the Guiding Effect of CTCs on Postoperative Adjuvant Therapy for Patients with Early Stage Endometrial Cancer
Authors: Li Liguo , Zhai Huihui , Zhang Qiumei , Feng Yuan , Yang Chunhui , Li Hong , He Hongfen
Published: May 2022

Endometrial tumor has increased in occurrence and fatality in China during the last 11 years, owing to inconsistent hormone use and modifications in people living surrounding and lifestyles. One of the three main gynaecological tumors is endometrial carcinoma (EC). Longer waiting duration of operation was linked to a lower chance of sustainability in endometrial tumor patients. Despite the great sustainability rate of endometrial tumor, only around 46 percent of patients undergo adjuvant treatment. Circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), and circulating free DNA (cfDNA) are the most investigated tumor noninvasive indicators. These circulating biomarkers are important in the knowledge of metastasis and tumorigenesis, and they could help researchers comprehend how cancer dynamics evolve throughout the therapy and illness development. In patients with solid tumor, the existence of circulating tumor cells (CTCs) in the peripheral blood is linked to a weak prognosis. However, there is a scarcity of information on how to detect CTCs in endometrial cancer (EC). Hence, in this paper, we analyze the guiding effect of CTCs on postoperative adjuvant treatment for sufferers with initial phase endometrial tumor using multi-cox regression method. The dataset is selected and the blood samples are collected using plasma separation method. The CTC is detected using differential diagnosis. The morphology and biological features, Immunocytochemistry, Genomic analysis, Transcriptomic analysis, Proteomic analysis, and molecular analysis are performed and the outcomes are evaluated.
Reasons for the Potential Implementation of Public‐Private Partnerships in Ethiopian Road Infrastructure Provision
Authors: Gebre Yenenesh Ketema , Demsis Belachew Asteray
Published: May 2022

Constructing and operating infrastructure facilities have traditionally been the responsibility of the public sector. Governments in several countries have been gradually enlisting the private sector in the provision of infrastructure through a public‐private partnership. The purpose of this study is to investigate the reasons behind the potential implementation of public‐private partnerships in Ethiopian road sector, which provide scientific support and rationales. There were both qualitative and quantitative research approaches used. A questionnaire survey was conducted, as well as an interview with industry professionals. To analyze the collected data, qualitative and quantitative data analyses were applied. The quantitative data were analyzed using version 26 of the Statistical Package for the Social Sciences software. The findings revealed scarcity in government funding, the inability of the public sector to assume all project risks, social strain on people due to poor road facilities, the demand for the skills and experience of the private sector, and the requirement for improvements in the levels of services as leading reasons for the potential implementation. The findings of the study provide scientific data and support for the adoption of public‐private partnerships as they give solutions to the problems associated with road infrastructure delivery.
Implementation of Short Video Click-Through Rate Estimation Model Based on Cross-Media Collaborative Filtering Neural Network
Authors: Feng Ying , Zhao Guisheng
Published: May 2022

In this paper, we analyze the construction of cross-media collaborative filtering neural network model to design an in-depth model for fast video click-through rate projection based on cross-media collaborative filtering neural network. In this paper, by directly extracting the image features, behavioral features, and audio features of short videos as video feature representation, more video information is considered than other models. The experimental results show that the model incorporating multimodal elements improves AUC performance metrics compared to those without multimodal features. In this paper, we take advantage of recurrent neural networks in processing sequence information and incorporate them into the deep-width model to make up for the lack of capability of the original deep-width model in learning the dependencies between user sequence data and propose a deep-width model based on attention mechanism to model users’ historical behaviors and explore the influence of different historical behaviors of users on current behaviors using the attention mechanism. Data augmentation techniques are used to deal with cases where the length of user behavior sequences is too short. This paper uses the input layer and top connection when introducing historical behavior sequences. The models commonly used in recent years are selected for comparison, and the experimental results show that the proposed model improves in AUC, accuracy, and log loss metrics.