bluuebunny/crossref_metadata_2025 huggingface dataset:
Confirming the Impact of Training on Negotiators and Organizations
Authors: Baber William W.
Published: February 2022

This study seeks to determine the long‐term impacts of training on negotiators and organizations. Although previous studies have linked training to negotiation outcomes, their findings have been based primarily on experimental data. This article analyzes survey data from business students who received negotiation training from the author over a period of ten years and were employed at the time of the survey. The survey sought to determine if respondents applied the skills learned in negotiation classes to their workplace. Data includes self‐reported subjective and objective items confirming the impact of training on negotiators and the organizations in which they work. Over 80 percent of respondents reported using skills learned in the classroom in their work and 30 percent reported that the training impacted their pay or promotion. The study reports rates at which negotiation skills and behaviors were found and uses the Kirkpatrick Levels 3 and 4 to interpret the frequency of specific impacts on individuals and organizations. Negotiation educators should consider the high rate at which trainees put learned skills into action, especially as the individuals’ frequency of negotiating increased and their position of authority in the negotiation strengthened.
Rapid increase in Omicron infections in England during December 2021: REACT-1 study
Authors: Elliott Paul , Bodinier Barbara , Eales Oliver , Wang Haowei , Haw David , Elliott Joshua , Whitaker Matthew , Jonnerby Jakob , Tang David , Walters Caroline E. , Atchison Christina , Diggle Peter J. , Page Andrew J. , Trotter Alexander J. , Ashby Deborah , Barclay Wendy , Taylor Graham , Ward Helen , Darzi Ara , Cooke Graham S. , Chadeau-Hyam Marc , Donnelly Christl A.
Published: February 2022

The unprecedented rise in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections during December 2021 was concurrent with rapid spread of the Omicron variant in England and globally. We analyzed the prevalence of SARS-CoV-2 and its dynamics in England from the end of November to mid-December 2021 among almost 100,000 participants in the REACT-1 study. Prevalence was high with rapid growth nationally and particularly in London during December 2021, with an increasing proportion of infections due to Omicron. We observed large decreases in swab positivity among mostly vaccinated older children (12 to 17 years) relative to unvaccinated younger children (5 to 11 years), and in adults who received a third (booster) vaccine dose versus two doses. Our results reinforce the importance of vaccination and booster campaigns, although additional measures have been needed to control the rapid growth of the Omicron variant.
Dual Regulatory Role of Chromatin Remodeler ISW1 in Coordinating Cellulase and Secondary Metabolite Biosynthesis in Trichoderma reesei
Authors: Cao Yanli , Yang Renfei , Zheng Fanglin , Meng Xiangfeng , Zhang Weixin , Liu Weifeng
Published: February 2022

Microorganisms, including
Trichoderma reesei
, constantly face the challenge to outcompete other species to ensure efficient colonization in their natural habitat. They achieve this usually by adopting two alternative strategies by either maintaining fast growth on limited nutrient resources or producing a versatile array of secondary metabolites to fight against competitors.
Burkitt lymphoma: interpreting FISH testing forMYCgene rearrangements
Authors: Sharma Purva , Singal Sakshi , Costello Patrick , Krishnan Koyamangalath
Published: February 2022

Burkitt lymphoma is a highly aggressive B cell non-Hodgkin’s lymphoma characterised by translocation ofMYCgene on chromosome 8. This translocation is usually detected by fluorescent in-situ hybridisation (FISH) studies as part of routine diagnostic work-up and prognostication. FISH testing is commonly done with the break-apart probe (BAP). This case illustrates how this testing can be falsely negative. This patient is a young male diagnosed with Stage I low-risk Burkitt with FISH negative forMYCtranslocation initially on BAP testing. Additional testing with dual FISH probe detectedMYC/IGHtranslocation. FISH testing using BAPs alone may be falsely negative forMYCtranslocations creating a diagnostic challenge and compromising the treatment approach and assessment of prognosis.
Impact of cascade screening for catecholaminergic polymorphic ventricular tachycardia type 1
Authors: Shimamoto Keiko , Ohno Seiko , Kato Koichi , Takayama Koichiro , Sonoda Keiko , Fukuyama Megumi , Makiyama Takeru , Okamura Satomi , Asakura Koko , Imanishi Noriaki , Kato Yoshiaki , Sakaguchi Heima , Kamakura Tsukasa , Wada Mitsuru , Yamagata Kenichiro , Ishibashi Kohei , Inoue Yuko , Miyamoto Koji , Nagase Satoshi , Kusano Kengo , Horie Minoru , Aiba Takeshi
Published: February 2022

Objective

Human cardiacryanodine receptor 2(RYR2) shows autosomal-dominant inheritance in catecholaminergic polymorphic ventricular tachycardia type 1 (CPVT1); however,de novovariants have been observed in sporadic cases. Here, we investigated CPVT1-relatedRYR2variant inheritance and its clinical significance between familial andde novocases.

Methods

We enrolled 82 independent CPVT1 probands (median age: 10.0 (7.0–13.0) years; 45 male) carrying theRYR2variants and whose biological origin could be confirmed by parental genetic analysis: assured familial inheritance (familial group: n=24) andde novovariants (de novogroup: n=58). We examined the clinical characteristics of the probands and their family members carrying theRYR2variants.

Results

In thede novogroup, theRYR2variants were more likely located in the C-terminus domain and less likely in the N-terminus domain than those in the familial group. The cumulative incidence of the first cardiac events (syncope and cardiac arrest (CA) or CA only) of the probands at the age of 5 and 10 years was higher in thede novogroup than in the familial group. Nearly half of the probands in both groups experienced CA events before diagnosis. Only 37.5% of their genotype-positive parents had symptoms; however, at least 66.7% of the genotype-positive siblings were symptomatic.

Conclusions

CPVT1 probands harbouringde novo RYR2variants showed an earlier onset of symptoms than those with assured familial inheritance. Cascade screening may enable early diagnosis, risk stratification and prophylactic therapeutic intervention to prevent sudden cardiac death of probands and potential genotype-positive family members.
Next steps for clinical translation of adenosine pathway inhibition in cancer immunotherapy
Authors: Augustin Ryan C. , Leone Robert D. , Naing Aung , Fong Lawrence , Bao Riyue , Luke Jason J.
Published: February 2022

Increasing evidence supports targeting the adenosine pathway in immuno-oncology with several clinical programs directed at adenosine A2 receptor (A2AR, A2BR), CD73 and CD39 in development. Through a cyclic-AMP-mediated intracellular cascade, adenosine shifts the cytokine and cellular profile of the tumor microenvironment away from cytotoxic T cell inflammation toward one of immune tolerance. A perpetuating cycle of tumor cell proliferation, tissue injury, dysregulated angiogenesis, and hypoxia promote adenosine accumulation via ATP catabolism. Adenosine receptor (eg, A2AR, A2BR) stimulation of both the innate and adaptive cellular precursors lead to immunosuppressive phenotypic differentiation. Preclinical work in various tumor models with adenosine receptor inhibition has demonstrated restoration of immune cell function and tumor regression. Given the broad activity but known limitations of anti-programmed cell death protein (PD1) therapy and other checkpoint inhibitors, ongoing studies have sought to augment the successful outcomes of anti-PD1 therapy with combinatorial approaches, particularly adenosine signaling blockade. Preliminary data have demonstrated an optimal safety profile and enhanced overall response rates in several early phase clinical trials with A2AR and more recently CD73 inhibitors. However, beneficial outcomes for both monotherapy and combinations have been mostly lower than expected based on preclinical studies, indicating a need for more nuanced patient selection or biomarker integration that might predict and optimize patient outcomes. In the context of known immuno-oncology biomarkers such as tumor mutational burden and interferon-associated gene expression, a comparison of adenosine-related gene signatures associated with clinical response indicates an underlying biology related to immunosuppression, angiogenesis, and T cell inflammation. Importantly, though, adenosine associated gene expression may point to a unique intratumoral phenotype independent from IFN-γ related pathways. Here, we discuss the cellular and molecular mechanisms of adenosine-mediated immunosuppression, preclinical investigation of adenosine signaling blockade, recent response data from clinical trials with A2AR, CD73, CD39 and PD1/L1 inhibitors, and ongoing development of predictive gene signatures to enhance combinatorial immune-based therapies.
Common data elements reported on middle meningeal artery embolization in chronic subdural hematoma: an interactive systematic review of recent trials
Authors: Adusumilli Gautam , Ghozy Sherief , Kallmes Kevin M , Hardy Nicole , Tarchand Ranita , Zinn Caleb , Lamar Duncan , Singeltary Emily , Siegel Lauren , Kallmes David F , Arthur Adam S , Gellissen Susanne , Fiehler Jens , Heit Jeremy J
Published: February 2022

Cross study heterogeneity has limited the evidence based evaluation of middle meningeal artery embolization (MMAE) as a treatment for chronic subdural hematoma (CSDH). Ongoing trials and prospective studies suggest that heterogeneity in upcoming publications may detract from subsequent meta-analyses and systemic reviews. This study aims to describe this data heterogeneity to promote harmonization with common data elements (CDEs) in publications. ClinicalTrials.gov and PubMed were searched for published or ongoing prospective trials of MMAE. The Nested Knowledge AutoLit living review platform was utilized to classify endpoints from randomized control trials (RCTs) and prospective cohort studies comparing MMAE with other treatments. The qualitative synthesis feature was used to determine cross study overlap of outcome related data elements. Eighteen studies were included: 12 RCTs, two non-randomized controlled studies, two prospective single arm trials, one combined prospective and retrospective controlled study, and one prospective cohort study. The most commonly reported data element was recurrence (15/18), but seven heterogenous (non-comparable) definitions were used for ‘recurrence’. Mortality was reported in 10/18 studies, but no common timepoint was reported in more than four studies. Re-intervention and CSDH volume were reported in eight studies, CSDH width in seven, and no other outcome was common across more than five studies. There was significant heterogeneity in data element collection even among prospective registered trials of MMAE. Even among CDEs, variation in definition and timepoints prevented harmonization. A standardized approach based on CDEs may be necessary to facilitate future meta-analyses and evidence driven evaluation of MMAE treatment of CSDH.
Groundwater governance: a review of the assessment methodologies
Authors: KC Saurav , Shrestha Sangam , Nguyen Thi Phuoc Lai , Das Gupta Ashim , Mohanasundaram S.
Published: February 2022

Groundwater, the world’s largest and most exploited freshwater resource is a crucial ingredient for global socio-economic development. However, the domination of human-induced drivers such as climate change, rapid demographic escalation, alteration in land use, industrialisation, and an increase in water demand has further stressed the unfrozen freshwater resources. This review provides a comprehensive literature-based analysis on different assessment methodologies for groundwater governance, and critically analysed the applicability and knowledge gaps in the assessment methodologies for evaluating groundwater governance under climatic and nonclimatic stresses. Furthermore, in the absence of a designated groundwater governance framework under stress, the study emphasized the need for developing a ready-to-use groundwater governance framework to assess the existing state of governance, tackling the prevailing knowledge gaps. A multidimensional framework consisting of key groundwater governance elements, the inclusion of the vulnerable and marginalised groups, current and future stressors, and an approach for aggregating multiple elements would overcome the limitations in previous assessment methodologies. Additionally, this framework would contribute to understanding current governance provisions and the capacity to manage those provisions, realise the strengths, gaps, and areas for improvement, and quantitatively visualise the prevailing state of groundwater governance for planning multiple strategies to possible threats and conflicts from the stresses.
Unitary groups and augmented Cuntz semigroups of separable simple 𝒵-Stable C∗-algebras
Authors: Lin Huaxin
Published: February 2022

Let [Formula: see text] be a separable simple exact [Formula: see text]-stable [Formula: see text]-algebra. We show that the unitary group of [Formula: see text] has the cancellation property. If [Formula: see text] has continuous scale then the Cuntz semigroup of [Formula: see text] has strict comparison property and a weak cancellation property. Let [Formula: see text] be a 1-dimensional noncommutative CW complex with [Formula: see text] Suppose that [Formula: see text] is a morphism in the augmented Cuntz semigroups which is strictly positive. Then there exists a sequence of homomorphisms [Formula: see text] such that [Formula: see text] This result leads to the proof that every separable amenable simple [Formula: see text]-algebra[Formula: see text]in the UCT class has rationally generalized tracial rank at most one.
Growth factor parametrization
Authors: Zouzou Ilhem , Nourai Amira
Published: February 2022

The growth rate of matter perturbations can be used to distinguish between different general relativity dark energy models and also between general relativity dark energy and modified gravity models in explaining cosmic acceleration. We propose as an approximation to the growth factor [Formula: see text] the analytical expression [Formula: see text] (with [Formula: see text]) when the radiation [Formula: see text] is included. The growth factor is analyzed for the dark energy models within general relativity. The growth index [Formula: see text] takes distinct values for each model. We find that the new analytical form [Formula: see text] approximates [Formula: see text] better than [Formula: see text].
Notes on join semidistributive lattices
Authors: Adaricheva Kira , Freese Ralph , Nation J. B.
Published: February 2022

A finite lattice may be regarded as a join semilattice with [Formula: see text]. Using this viewpoint, we give algorithms for testing semidistributivity, provide a new characterization of convex geometries, and characterize congruence lattices of finite join semidistributive lattices.
On the existence of primitive normal elements of rational form over finite fields of even characteristic
Authors: Hazarika Himangshu , Basnet Dhiren Kumar , Kapetanakis Giorgos
Published: February 2022

Let [Formula: see text] be an even prime power and [Formula: see text] an integer. By [Formula: see text], we denote the finite field of order [Formula: see text] and by [Formula: see text] its extension of degree [Formula: see text]. In this paper, we investigate the existence of a primitive normal pair [Formula: see text], with [Formula: see text] where the rank of the matrix [Formula: see text] is 2. Namely, we establish sufficient conditions to show that nearly all fields of even characteristic possess such elements, except for [Formula: see text] if [Formula: see text] and [Formula: see text] is odd, and then we provide an explicit small list of possible and genuine exceptional pairs [Formula: see text].
Acoustic scattering by impedance screens/cracks with fractal boundary: Well-posedness analysis and boundary element approximation
Authors: Bannister J. , Gibbs A. , Hewett D. P.
Published: February 2022

We study time-harmonic scattering in [Formula: see text] ([Formula: see text]) by a planar screen (a “crack” in the context of linear elasticity), assumed to be a non-empty bounded relatively open subset [Formula: see text] of the hyperplane [Formula: see text], on which impedance (Robin) boundary conditions are imposed. In contrast to previous studies, [Formula: see text] can have arbitrarily rough (possibly fractal) boundary. To obtain well-posedness for such [Formula: see text] we show how the standard impedance boundary value problem and its associated system of boundary integral equations must be supplemented with additional solution regularity conditions, which hold automatically when [Formula: see text] is smooth. We show that the associated system of boundary integral operators is compactly perturbed coercive in an appropriate function space setting, strengthening previous results. This permits the use of Mosco convergence to prove convergence of boundary element approximations on smoother “prefractal” screens to the limiting solution on a fractal screen. We present accompanying numerical results, validating our theoretical convergence results, for three-dimensional scattering by a Koch snowflake and a square snowflake.
INVESTIGATION OF MACHINABILITY AND GEOMETRY CHARACTERISTICS OF ABRASIVE WATERJET CIRCULAR CUTTING PROCESS ON Ti–6Al–4V ALLOY
Authors: KARUPPUSAMY UMANATH , DAKSHINAMURTHY DEVIKA , IBRAHIM RASHIA BEGUM SYED
Published: February 2022

Titanium alloy (Ti–6Al–4V) is one of the important alloys in titanium series used in various parts of the aerospace industry. The aim of this work is to investigate the effect of process parameters on Ti–6Al–4V to improve the machining, surface, and geometric characteristics of the circular cut profile by determining the optimum parameters for the abrasive waterjet machining (AWJM). The input parameters considered are the abrasive flow rate (AFR), stand-off distance (SOD), and traverse speed (TS). Output parameters like circularity, cylindricity, and surface roughness (SR) of the circular cut are evaluated. The experiments are conducted based on central composite design (CCD) in the response surface methodology (RSM). In this work, a new machining strategy has been reported for circular path cutting with start point at the center and end point at the perimeter. It is found that the circularity increases with the increase in TS and SOD, cylindricity increases with an increase in AFR, and TS and SR decrease with the increase in AFR and TS. Confirmation tests with optimum levels of parameters have been done to determine the adequacy of RSM. In addition to that, the cutting profiles are also analyzed using scanning electron microscopy (SEM) and Steinbichler Comet 3D Blue Light Scanner. It is found that the wear tracks, groove formation, plowing deformation, and embedded abrasive particles on a circular profile are minimized with the optimum parameter levels. Atomic force microscopy (AFM) is used to verify the minimum SR value of 119.252[Formula: see text]nm in AWJ-machined surface.
Blowup for a Kirchhoff-type parabolic equation with logarithmic nonlinearity
Authors: Guo Boling , Ding Hang , Wang Renhai , Zhou Jun
Published: February 2022

In this paper, we consider a Kirchhoff-type parabolic equation with logarithmic nonlinearity. By making a more general assumption about the Kirchhoff function, we establish a new finite time blow-up criterion. In particular, the blow-up rate and the upper and lower bounds of the blow-up time are also derived. These results generalize some recent ones in which the blow-up results were obtained when the Kirchhoff function was assumed to be a very special form.
Quantization in Cartesian coordinates and the Hofer metric
Authors: Kalogeropoulos Nikolaos , Kokorelis Christos
Published: February 2022

Dirac stated that the Cartesian coordinates are uniquely suited for expressing the canonical commutation relations in a simple form. By contrast, expressing these commutation relations in any other coordinate system is more complicated and less obvious. The question that we address in this work is the reason why this is true. We claim that this unique role of the Cartesian coordinates is a result of the existence and uniqueness of the Hofer metric on the space of canonical transformations of the phase space of the system getting quantized.
Correlation between Selection of Time Window for Acute Cerebral Infarction and Efficacy of Intravascular Stent Implantation
Authors: Feng Guanqing , Gong Yu
Published: February 2022

Objective. To explore the correlation between selection of time window for acute cerebral infarction (ACI) and efficacy of intravascular stent implantation. Methods. The clinical data of 84 ACI patients treated in our hospital from March 2019 to March 2020 were selected for the retrospective analysis, all study subjects received intravascular stent implantation, and after discharge, patients were assessed by the Modified Rankin Scale (mRS) and divided into the good prognosis group (n = 46, mRS score ≤2 points) and poor prognosis group (n = 38, mRS score >2 points). The clinical data of patients in the two groups at admission underwent univariate analysis, the indicators presenting

P

 < 0.05 were included in the logistic regression model, and the correlation between patients’ treatment time window and clinical effect was analyzed by multivariate logistic regression analysis and linear fitting analysis. Results. According to the multivariate logistic regression analysis, low-density lipoprotein (LDL), time window, and blood glucose level before treatment were the independent factors affecting patients’ treatment effect and were associated with the efficacy of intravascular stent implantation (r was 0.790, 0.889, and 0.672, respectively). Conclusion. LDL, time window, and blood glucose level before treatment are the important factors affecting the efficacy of intravascular stent implantation for ACI patients, among which the time window is most significantly associated with the clinical effect. Therefore, ACI patients should accept clinical treatment as early as possible.
Multiobjective Metaheuristic Load Control Algorithm for Interaction between Smart Home and Humans
Authors: Chi Hao , Kang Sang-ug
Published: February 2022

Technology has boosted electric power consumption both locally and worldwide, resulting in a substantial increase in demand for electric power. A multiobjective smart house human-computer interaction load control method is suggested to meet the goal of lowering power usage and pricing in smart home load control. It presents a model that includes marginal costs and establishes an electricity price model that takes the load rate into account. It identifies switch appliances and temperature control appliances and gathers human activities, indoor and outdoor temperature, and light intensity using intelligent equipment to create a multiparameter comfort model. It creates a multiobjective model of comfort and electricity price with the purpose of reducing electricity price and multiparameter comfort, and it improves particle swarm performance by using a distance ratio based on fitness value. The optimization algorithm solves the model, determines the best smart home human-computer interaction load control scheme, creates the smart home remote control system’s functional modules, and optimizes the multiobjective smart home human-computer interaction load control algorithm using a frequency-duration parameter tracking learning model. The testing findings suggest that the proposed algorithm can cut power prices in a reasonable manner, as well as regulating 40% reduced electricity usage and load in smart homes.
Intelligent Fault-Tolerant Mechanism for Data Centers of Cloud Infrastructure
Authors: Kumar T Satish , H S Madhusudhan , Mustapha S. M. F. D. Syed , Gupta Punit , Tripathi Rajan Prasad
Published: February 2022

Fault tolerance in cloud computing is considered as one of the most vital issues to deliver reliable services. Checkpoint/restart is one of the methods used to enhance the reliability of the cloud services. However, many existing methods do not focus on virtual machine (VM) failure that occurs due to the higher response time of a node, byzantine fault, and performance fault, and existing methods also ignore the optimization during the recovery phase. This paper proposes a checkpoint/restart mechanism to enhance reliability of cloud services. Our work is threefold: (1) we design an algorithm to identify virtual machine failure due to several faults; (2) an algorithm to optimize the checkpoint interval time is designed; (3) lastly, the asynchronous checkpoint/restart with log-based recovery mechanism is used to restart the failed tasks. The valuation results obtained using a real-time dataset shows that the proposed model reduces power consumption and improves the performance with a better fault tolerance solution compared to the nonoptimization method.
Autonomous Navigation of Robots Based on the Improved Informed-RRT

∗

Algorithm and DWA
Authors: Dai Jun , Li Dongfang , Zhao Junwei , Li Yanqin
Published: February 2022

An improved method is proposed in this investigation to solve the problems of poor path quality and low navigation efficiency of the Informed-RRT

∗

algorithm in robot autonomous navigation. First, the greedy algorithm is introduced in the path planning procedure. When a new node is obtained, it will be judged whether it can directly reach the target point. Second, the search scope of the potential optimal parent node becomes the constructed path, instead of the node tree, which reduces the number of nodes to be searched and improves the navigation efficiency. Combined with the dynamic window approach (DWA), the improved algorithm is utilized to simulate the autonomous navigation process of the robot based on the Robot Operating System (ROS) platform. The simulation results show that compared with the original algorithm, the length of the global path is reduced by 5.15%, and the time of planning path and autonomous navigation is shortened by 78.34% and 21.67%, respectively.
Detecting Resource Release Bugs with Analogical Reasoning
Authors: Liang Wentao , Wang Lu , She Jialuo , Liu Yuqing
Published: February 2022

The resource release bugs are a common type of serious programming bug. However, it is hard to catch them by using static detection for the lacking of comprehensive prior knowledge about the release functions. In this paper, a resource release bug detection method is proposed by introducing analogical reasoning on word vectors. First, the functions of the target source code are encoded into word vectors by the word embedding technique in natural language processing. Second, a two-stage reasoning method is developed for automatically identifying unknown resource release functions according to a few well-known seed functions. 3CosAvg algorithm is employed for the first stage, and a new algorithm is designed for the latter, called 3CosAddExchange. Finally, the identified release functions are translated into static analysis rules to detect potential bugs. The experiment shows that the proposed method is effective and efficient for the large-scale software project. Five unknown resource release bugs are successfully detected in the Linux kernel and confirmed by kernel developers.
A Directional Selective Power Routing Protocol for the Internet of Underwater Things
Authors: Al-Bzoor Manal , Musa Ahmed , Alzoubi Khawla , Gharaibeh Taha
Published: February 2022

The Internet of Underwater Things (IoUT) has lately gained popularity as a means of facilitating a wide range of underwater applications. In the IoUT, underwater communication is best accomplished by the usage of acoustic waves, whereas the terrestrial communication between the surface sinks and the on-shore control stations is typically achieved using radio waves. As a result, the greatest portion of an IoUT is enabled by the underwater acoustic sensor network (UASN), where the specific issues provided by the use of acoustic waves, the underwater node mobility, and the localization difficulties have yet to be addressed. In this paper, we discuss the challenges faced by the IoUT in terms of the currently proposed routing protocols and propose a Directional Selective Power Routing Protocol (DSPR) to cope with most of these challenges. The proposed protocol (i.e., DSPR) uses the angle of arrival and the sender depth information to find the best direction to the surface sink. In addition, the DSPR uses selective power control to enhance the delivery ratio and ensure connectivity while reducing energy consumption. To testify the performance of the proposed protocol, intensive simulation experiments have been conducted. The simulation results show that the proposed DSPR protocol outperforms two variations of the fixed directional routing (DR) protocol and the variable power depth-based routing (VDBR) protocol in terms of energy consumption and delivery ratio. For instance, the proposed DSPR protocol achieves at least 8 times enhancement in energy consumption compared with VDBR. In addition, DSPR saves around 30% of energy consumption over the DR protocols when the network is mobile. Moreover, the DSPR protocol acquires a delivery ratio above 90% for static/dynamic scenarios in both sparse and dense networks.
Expression Recognition Using Improved AlexNet Network in Robot Intelligent Interactive System
Authors: Zhao Yifeng , Chen Deyun
Published: February 2022

Aiming at the insufficient feature extraction in the expression feature extraction stage of traditional convolutional neural network and the misclassification of mislabeled samples, an expression recognition and robot intelligent interaction method using deep learning is proposed. First, in image preprocessing, the dimension of the color image is reduced by image gray adjustment to reduce the amount of calculation, the shadow interference is eliminated by the average method, and the image is enhanced by histogram equalization. Second, multichannel convolution is used to replace the single convolution size in the second convolution layer in AlexNet, the Global Average Pooling layer is introduced to replace the fully connected layer, and Batch Normalization is introduced to improve the feature extraction ability of the model and avoid gradient explosion. Finally, the Focal Loss is improved by setting the probability threshold to avoid the impact of mislabeling samples on the classification performance of the model. The experimental results show that the recognition accuracy of the model on FER2013 data set is 98.36%. The effectiveness of the algorithm is verified on the intelligent interactive system of service robot based on expression recognition. Compared with other expression recognition methods, the proposed method can extract more expression features and recognize facial expression more accurately.
FPGA Delay-Oriented Process Mapping Algorithm of Xiangxi Minority Based on LUT
Authors: Xiao Yun , Zeng Wei , Zhang Huang
Published: February 2022

At present, FPGA (field-programmable gate array) architecture has made great progress in the requirements of hardware volume, which can meet common needs. However, for the increasing number of resources, it is difficult to significantly reduce the delay of process mapping. Therefore, this paper proposes FDMAP (fit descending map) algorithm from the perspective of the LUT number to reduce the delay. This paper proposes a method of FPGA mapping and debugging for heterogeneous multicore high-performance processors based on isomorphic symmetric FPGA architecture, which effectively utilizes the architectural features of heterogeneous multicore processors and the symmetric features of isomorphic FPGA, divides FPGA functions from top to bottom in a hierarchical way, and constructs FPGA architecture from bottom to top. Using differential bridge and adaptive delay adjustment sampling technology, combined with the embedded virtual logic analyzer debugging tool, FPGA architecture can be lightened and deployed quickly. Multicore complementary core-to-core replacement simulation mapping methods such as debug shells can be used to effectively complete the mapping of the target’s high-performance heterogeneous multicore processor to the entire SOC (system on-ship) chip system-level FPGA. In the aspect of algorithm, the fdmap algorithm is mainly implemented, and the low latency mapping of resources is realized with FPGA architecture. In order to verify the effectiveness of mapping the fdmap algorithm, this paper compares the fdmap algorithm with the vector VM algorithm. The research shows that when the wavelength resolution is 7 pm and the temperature error is less than 1°C, the shell is debugged, and 10 mapping examples are simulated with the fdmap algorithm. In the experiment, the LUT with the most critical 20% is selected, and the closed value of the LUT search type is set to 0.86. Compared with the original data, the number of LUTs increased by 15.2%, and the criticality decreased by 35.21%. Compared with the vector VM algorithm with the biggest gap, the number of LUTs decreased by 14.25%, the criticality improved by 14.21%, and the overall delay decreased by 65%. Therefore, the isomorphic symmetric FPGA architecture proposed in this paper can improve the structural criticality and significantly reduce the latency while reducing the number of LUTs.
Acute-On-Chronic Mesenteric Ischemia: The Use of Fluorescence Guidance to Diagnose a Nonsurvivable Injury
Authors: Szoka Nova , Kahn Mathew
Published: February 2022

Mesenteric ischemia (MI) is a condition characterized by compromised intestinal perfusion, leading to varied patterns of bowel hypoxia that requires prompt diagnosis and surgical intervention. Here, we report a case in which indocyanine green (ICG) was utilized to evaluate intestinal blood flow in a patient with acute-on-chronic MI. A 65-year-old underweight female presented with abdominal pain out of proportion to exam and was found to have diffuse aortic atherosclerotic disease with chronic occlusion of both superior and inferior mesenteric arteries with distal reconstitution. After multidisciplinary evaluation, elective treatment with vascular surgery was planned; however, on day three of her hospitalization, the patient’s abdominal pain acutely worsened. She was taken to the OR for exploratory laparotomy. Under white light, the small bowel from the ligament of Treitz (LOT) to the terminal ileum and the large bowel from the cecum to the splenic flexure appeared ischemic with patchy areas of necrosis. Fluorescence angiography was then performed; injection of indocyanine green (ICG) dye and imaging with the SPY-PHI near-infrared camera system demonstrated appropriate blood flow into the bowel mesentery, with complete absence of flow into the bowel mucosal surface from the LOT to the splenic flexure, confirming irreversible bowel necrosis. Introduction of ICG intraoperatively decreased the uncertainty associated with white light assessment of bowel viability, leading to a definitive intraoperative diagnosis and clear plan of care. The use of fluorescence guidance to diagnose fulminant small and large bowel necrosis prevented the surgical team from having to perform multiple takebacks to the operating room in the setting of a nonsurvivable injury. Had the surgical team relied on the white light appearance of the bowel, they would not have been able to diagnose the true extent of bowel demise. The patient was placed on comfort care for this devastating nonsurvivable injury.
TODIM Approach for Selection of Inventory Policy in Supply Chain
Authors: Kaur Prabjot , Pradhan Bijay Lal , Priya Anjali
Published: February 2022

TODIM-based multicriteria decision-making approach for assessing inventory policy in a Pythagorean fuzzy environment is proposed in this study. In supply chain, inventory appears in several forms. For effective supply chain, management businesses must choose an effective inventory policy. It is difficult to rank inventory policies. Inventory policy selection and evaluation include a procedure that can be thought about, checked after some time, and ideally improved through certain measures. Determination of the right inventory control policy is a challenge in the dynamic business environment as it enables organizations to gain an upper hand in terms of cost, quality, and service, which in turn provides a vital step in fulfilling the requirements of the customer. The multicriteria question has qualitative and quantitative factors that are vague and contradictory. Such variables are not necessarily clear and often suffer vagueness owing to the inconsistent existence of the gathered data. In the Pythagorean fuzzy setting, they are therefore considered to eliminate this vagueness by assigning membership and nonmembership roles to these factors. Finally, in this article, we performed a sensitivity analysis to demonstrate the stability of our model and to illustrate the utility of implementing such algorithms.
Endothelin-Converting Enzyme 1 and Vascular Endothelial Growth Factor as Potential Biomarkers during Ex Vivo Lung Perfusion with Prolonged Hypothermic Lung-Sparing
Authors: Hernández-Jiménez Claudia , Olmos-Zúñiga J. Raúl , Baltazares-Lipp Matilde , Jasso-Victoria Rogelio , Polo-Jerez Adrián , Pérez-López María Teresa , Vázquez-Justiniano Luis Florentino , Díaz-Martínez Néstor Emmanuel , Gaxiola-Gaxiola Miguel , Romero-Romero Laura , Guzmán-Cedillo Axel Edmundo , Baltazares-Lipp Mario Enrique , Vázquez-Minero Juan Carlos , Gutiérrez-González Luis Horacio , Alonso-Gómez Marcelino , Silva-Martínez Mariana
Published: February 2022

Lung transplantation requires optimization of donor’s organ use through ex vivo lung perfusion (EVLP) to avoid primary graft dysfunction. Biomarkers can aid in organ selection by providing early evidence of suboptimal lungs during EVLP and thus avoid high-risk transplantations. However, predictive biomarkers of pulmonary graft function such as endothelin-converting enzyme (ECE-1) and vascular endothelial growth factor (VEGF) have not been described under EVLP with standard prolonged hypothermic preservation, which are relevant in situations where lung procurement is difficult or far from the transplantation site. Therefore, this study is aimed at quantifying ECE-1 and VEGF, as well as determining their association with hemodynamic, gasometric, and mechanical ventilatory parameters in a swine model of EVLP with standard prolonged hypothermic preservation. Using a protocol with either immediate (I-) or delayed (D-) initiation of EVLP, ECE-1 levels over time were found to remain constant in both study groups (

p
>
0.05

RM-ANOVA), while the VEGF protein was higher after prolonged preservation, but it decreased throughout EVLP (

p
>
0.05

RM-ANOVA). Likewise, hemodynamic, gasometric, mechanical ventilatory, and histological parameters had a tendency to better results after 12 hours of hypothermic preservation in the delayed infusion group.
Urolithin B, a Gut Microbiota Metabolite, Reduced Susceptibility to Myocardial Arrhythmic Predisposition after Hypoxia
Authors: Huang Xin , Gao Hong , Jiang Xiaojie , Zheng Zeqi
Published: February 2022

Cardiomyocyte apoptosis, neural remodeling, and gap junction channel change play critical roles in ventricular arrhythmia (VA) after acute myocardial infarction (AMI). Urolithin B (UB), one of the gut metabolites of ellagitannins, a class of antioxidant polyphenols, has various biological activities, but its direct role in cardiomyocyte apoptosis, neural remodeling, and gap junction channel change after AMI remains elusive. We investigated whether urolithin B reduced susceptibility of myocardial arrhythmic after myocardial infarction (MI). In vitro, the cardiomyocytes were subjected to hypoxia (94% N2/5% CO2/1% O2) for 3 hours. Cardiomyocyte apoptosis was assessed by TUNEL staining and western blotting. Urolithin B was found to decrease the number of apoptotic cells after hypoxia. Moreover, there was a substantial decrease in the expression of neural remodeling markers in the urolithin B treatment group. Urolithin B significantly increased the expression level of gap junction channel protein. Mechanistically, urolithin B inhibited cardiomyocyte apoptosis by activating Akt/the mammalian target of rapamycin (mTOR) pathway, and the protection of urolithin B against cardiomyocyte apoptosis was compromised with Akt gene silencing. Furthermore, urolithin B suppressed nuclear translocation of nuclear factor-kB (NF-κB) to facilitate nerve remodeling. Taken together, our findings suggested that UB reduced the occurrence of myocardial arrhythmias after hypoxia via regulation of the Akt/mTOR pathway and NF-κB nuclear translocation, which highlights the potential of UB as a novel therapy for ischemic heart disease.
Research on Optimization and Application of University Student Development and Management Strategy Driven by Multidimensional Big Data
Authors: Lv Zhimei
Published: February 2022

The purpose of education is to enable students to develop fully, freely, comprehensively, and harmoniously. The development of college students is a social problem that must be focused on in higher education under the background of China’s powerful human resources. It is an important subject that higher education must attach great importance to and solve to find out the way and method to solve and avoid the development of college students to help them face risks correctly, meet challenges, and grow healthily. Under the background in the era of big data, Internet and mobile intelligent terminal has great popularity in colleges and universities, especially in the digital library, the official platform construction, and is widely used in Internet multimedia technology in college classroom, although for college students and the teacher provides vast amounts of information data, exploring the college students’ horizons, enriching the students’ knowledge structure. But the explosive growth of data and information security threat to the development of college students management work still bring the severe test of this; education workers in colleges and universities should comply with the development of The Times, the big data organic blend in the current education system, and the specific practice of education, for modern education practice and college students’ all-round development’s age characteristic new development mode and effective way. In order to adapt to the new form of the development of The Times, the management of colleges and universities should keep pace with The Times, and integrate the concept of big data and advanced technology into the education management work, so as to realize the national deployment of the education system innovation development strategy, explore teaching rules, students’ growth and development tasks, and other realistic needs of the times. In addition, making big data the most powerful internal driving force for educational development helps colleges and universities to realize the frontier, timeliness, interactivity, and individuation of educational management. Colleges and universities should actively apply the idea of big data, improve the data resource integration and use ability of the staff in the field of education management through diversified means, improve the management level in multiple dimensions, and promote the updating and upgrading of the management structure of higher education and teaching. By analyzing the background of big data era, this paper analyzes the challenges of college students’ management in the era of big data and puts forward the strategies of college students’ management in the era of big data, so as to improve the quality and efficiency of college students’ management.
Long-Term Effects of Obstetric Fistula on the Overall Quality of Life among Survivors Who Had Undergone Obstetric Fistula Repair, Central Gondar Zone, Northwest Ethiopia, 2020: A Community-Based Study
Authors: Aynalem Getie Lake , Kassie Belayneh Ayanaw , Baye Chernet , Tamiru Animut Tagele , Anteneh Kiber Temesgen , Berhe Aster , Fentahun Wagaye , Debele Tibeb Zena , Yirdaw Birhanu Wubale , Rade Bayew Kelkay , Enyew Mihretu Molla
Published: February 2022

Introduction. Childbirth is a special time in the lives of women and families at large. It can also be a time of great tragedy. International reports show that, annually, more than 500,000 women die from pregnancy and childbirth complications globally. For every woman who dies in childbirth, majorities remain alive, but scarred by permanent disabilities. Obstetric fistula is, without a doubt, the most severe of pregnancy-related disabilities. Objective. This research is aimed at assessing the long-term effects of obstetric fistula on the overall quality of life among fistula survivors in central Gondar zone. Methods. A community-based cross-sectional study was conducted among women who had undergone obstetric fistula repair, 1-4 years after the surgery, in the central Gondar zone. The participants were reached through appointments that were made by the researchers using census approach after having the participants’ contact lists (specific residence and cell phone numbers), and research interviews have taken place at the respondents’ home or residence using an adapted and validated tool. Data entry and analysis were done using Epi Info version 7 and SPSS version 20, respectively. Results. A total of 182 fistula survivors were interviewed giving a 94.8% response rate. This study indicated that 84.1% (95% CI: 78.8, 89.4) of respondents had a poor overall quality of life. Maternal age (>30 years) (

AOR
=
3.8

, 95% CI: 2.6, 12.3), marital status (divorced survivors) (

AOR
=
2.7

, 95% CI: 1.3, 8.5), and urinary incontinence (

AOR
=
1.9

, 95% CI: 2.4, 11.2) were positive predictors for poor overall quality of life. The majority of fistula survivors, 82.4%, were stigmatized which could make reintegration into the community challenging for them. Healthcare providers have to implement counseling to women for social reintegration and the possibility of gainful societal activities after repairing.