bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of Employee Digital Competence on the Relationship between Digital Autonomy and Innovative Work Behavior: A Systematic Review
Authors: HUU PHAM THANH 
Published: July 2022

Abstract
Innovation has grown up in a digital world and is far more technologically intelligent by the use of social media through the internet to keep in touch with the rest of the world. Information Technology employees are goal-oriented, work-oriented, and have rapid career advancement. Simultaneously, they also raise the value of workforce and organization structure to define a quality and productivity process for their individual benefit and that of their economy and environment. This paper presents a Systematic Literature Review (SLR) to provide a current overview of digital competence research focused on the impact of employees between the relationship of digital autonomy and innovative work behavior from 2015 to the end of 2022 in the field of digital models. By conducting a SLR, we summarize a wide range of sources based on the guidelines recently followed by other systematic review format on the domain of digital educational technology. According to the statement of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, 34 articles were selected from 1430 screened articles by applying inclusion and exclusion criteria. Seven types of research methods were categorized from the selected articles. When reviewing these studies, 18 articles were examined under relationship topics and 12 articles reported on impact topics under different tasks. Among the conclusions, the SLR findings provides answers to the questions based on the analysis of selected articles in accordance with the modelled questions. Thus, the in-depth analysis of this review indicates a better understanding of the impact of employees on the relationship between digital autonomy and innovative work behaviour, and this research will benefit for future researchers to determine an appropriate solution for their needs.
Global habitat suitability modeling reveals insufficient habitat protection for a mangrove crab
Authors: Yousefi Masoud , Naderloo Reza 
Published: July 2022

Abstract
Mangrove crabs are important components of mangrove forests however their large scale habitat suitability and conservation received little attention. The Metopograpsus thukuhar/cannicci species complex is a mangrove dwelling species occurs in the Indo-Pacific mangrove forests. Since identifying the complex suitable habitat is critical for its conservation, we modeled global suitable habitats of the complex within marine biogeographic realms and estimated representation of the complex suitable habitats within marine protected areas. We found that the complex’ largest and smallest suitable ranges are located in Central Indo-Pacific and Temperate Southern Africa realms, respectively. Only 12.5 percent of the complex suitable habitat is protected. The highest proportion of protected suitable habitats (22.9%) are located in Western Indo-Pacific realm ecoregion while the lowest proportion of protected suitable habitats (1.38%) were located in Central Indo-Pacific realm. Suitable unprotected habitats of the complex identified in this study have high priority for conservation and should be included in marine protected areas to ensure species conservation. Our results show that species distribution models are practical tools to study marine species distribution across large spatial scales and help marine conservation planning.
Whether seismogenic atmospheric current influences the ionosphere?
Authors: Surkov V. V. , Pilipenko Vyacheslav A. 
Published: July 2022

Abstract
The question of whether earthquake precursors can arise in the ionosphere is of a special interest in geophysics. Despite numerous encouraging reports on seismo-ionospheric effects, the mechanism of the lithosphere-ionosphere coupling during the crust destruction phase was not established. One of hypothesis assumes that a seismogenic current transfers an abnormal electric field from the near-surface atmosphere to the ionosphere prior to an earthquake occurrence. This current can be caused by air ionization due to enhancement of radon gas emission from the soil or upward movement of charged atmospheric aerosols. Here we present a theoretical model of the spatial structure of the electric field driven by a vertical external current in the lower atmosphere. Perturbations of electric fields in the ionosphere are derived in the approximation of the "thin" E-layer. Simple analytical estimates have been obtained that relate the electric fields in the ionosphere and on the ground to the parameters of the external current. The electric field attenuation with altitude is caused by the increase of atmospheric conductivity and the horizontal spreading of current. The estimates obtained enable one to evaluate the feasibility of anomalous variations of electric fields in the ionosphere related to forthcoming earthquakes. The analysis has shown that the suggested hypothesis seems unrealistic, since to explain the relation between the ionospheric anomalies and extrinsic current it is necessary to assume the presence of such large currents and electric fields in the lower atmosphere which were never observed during non-thunderstorm periods.
Role of the intraseasonal IPCO in the absence of typhoons in July 2020
Authors: Li Fei , Li Jianping , Wang Hao , Diao Yina 
Published: July 2022

Abstract
The influence of the intraseasonal Indo-western Pacific convection oscillation (IPCO) on the absence of typhoons in July 2020 over the western North Pacific (WNP) was explored. Our observations analysis revealed an unprecedented absence of typhoons over the WNP in July 2020 even though the necessary conditions such as sea surface temperature (SST) and vertical wind shear met the basic requirements of typhoon formation since it began occurring from 1949. Additionally, significant differences were found in the frequency of typhoons between the different phases of the intraseasonal IPCO; the frequency in the positive phase of the intraseasonal IPCO was significantly higher than that in the negative phase of the intraseasonal IPCO. In July 2020, the intraseasonal IPCO was in a strong negative phase, with the third lowest index in history and had the strongest inhibition effect on convection over the WNP on record, leading to large-scale circulation anomalies. The strongest descending movement on record inhibited the upward transport of water vapor and the development of cumulus convection, thereby reducing the release of latent heat of condensation and making it difficult to form a typhoon warm-core structure. In addition, the geopotential height increased over the WNP, and the western Pacific subtropical high moved southerly, which inhibited typhoon formation. Simultaneously, the South China Sea monsoon trough weakened significantly, with increased negative vorticity anomaly in the response scale, which hindered disturbance generation. The lowest genesis potential index confirmed that the large-scale circulation anomaly caused by the intraseasonal IPCO had an unprecedented restraining effect on typhoon generation, leading to the absence of typhoons over the WNP in July 2020.
Role of actin cytoskeleton in cargo delivery mediated by vertically aligned silicon nanotubes
Authors: Chen Yaping , Yoh Hao Zhe , Shokouhi Ali-Reza , Murayama Takahide , Suu Koukou , Morikawa Yasuhiro , Voelcker Nicolas H. , Elnathan Roey 
Published: July 2022

Abstract
Nanofabrication technologies have been recently applied to the development of engineered nano–bio interfaces for manipulating complex cellular processes. In particular, vertically configurated nanostructures such as nanoneedles (NNs) have been adopted for a variety of biological applications such as mechanotransduction, biosensing, and intracellular delivery. Despite their success in delivering a diverse range of biomolecules into cells, the mechanisms for NN-mediated cargo transport remain to be elucidated. Recent studies have suggested that cytoskeletal elements are involved in generating a tight and functional cell–NN interface that can influence cargo delivery. In this study, by inhibiting actin dynamics using two drugs — cytochalasin D (Cyto D) and jasplakinolide (Jas), we demonstrate that the actin cytoskeleton plays an important role in mRNA delivery mediated by silicon nanotubes (SiNTs). Specifically, actin inhibition 12 h before SiNT-cellular interfacing (pre-interface treatment) significantly dampens mRNA delivery (with efficiencies dropping to 17.2% for Cyto D and 33.1% for Jas) into mouse fibroblast GPE86 cells, compared to that of untreated controls (86.9%). However, actin inhibition initiated 2 h after the establishment of GPE86 cell–SiNT interface (post-interface treatment), has negligible impact on mRNA transfection, maintaining > 80% efficiency for both Cyto D and Jas treatment groups. The results contribute to understanding potential mechanisms involved in NN-mediated intracellular delivery, providing insights into strategic design of cell–nano interfacing under temporal control for improved effectiveness.
Utilizing Machine Learning Algorithms to Predict Subject Genetic Mutation Class from In Silico Models of Neuronal Networks
Authors: Kress Gavin T. , Chan Fion , Garcia Claudia A. , Merrifield Warren S. 
Published: July 2022

Abstract
Epilepsy affects an estimated 50 million patients across the globe making it the fourth most common neurological disorder. Up to 40% of patients have uncontrolled seizures, yet incur approximately 80% of the cost. Anti-epileptic drugs commonly result in resistance and reversion to uncontrolled drug resistant epilepsy and are commonly associated with significant adverse effects. This has led to a trial-and-error system in which physicians spend months to years attempting to identify the optimal therapeutic approach. The primary reason for this is that the diagnostic system for patients with epilepsy commonly has minimal predictive capacity for treatment efficacy and tolerability because it fails to account for the multifactorial nature of epilepsy and the effects of unique patient biology. Therefore, the investigators hypothesize that by increasing the diagnostic precision of patients with epilepsy by characterizing electrophysiology using a novel approach, better initial predictions for optimal therapy can be made. Several studies have shown that genomic data alone can be predictive of effective therapeutic approaches in some patients. Thus, in order to assess the predictive power of electrophysiological data in silico, a multitude of machine learning strategies were implemented to attempt to predict a subject’s genetically defined class in an in silico model using brief electrophysiological recordings obtained from microelectrode arrays. This study found that various machine learning algorithms excel in using electrophysiological data from isogenic neurons to accurately predict genetic class. This indicates it is possible for machine learning algorithms to use electrophysiological data to predict clinically valuable metrics such as optimal therapeutic approach.
Robotic Capital - Skill Complementarity
Authors: Battisti Michele , Gatto Massimo Del , Gravina Antonio Francesco , Parmeter Christopher 
Published: July 2022

Abstract
Relying upon an original (country-sector-year) measure of robotic capital, we study the extent of complementarity/substitutability between robots and workers at different skill levels. Relying on nonparametric analysis, we estimate country-sector elasticity of substitution patterns, over the 1995-2009 period, between robots and skilled/unskilled labor. We show that: i) robotization tends to increase the relative substitutability of unskilled labor; ii) this tendency strengthened from the beginning of ’00s; iii) both the tendency and its increase have been more pronounced in OECD, compared to Non-OECD countries and in Manufacturing, compared to Non-Manufacturing; iv) substantial heterogeneity exists.
Integration of transcriptomic and proteomic analyses of Rhododendron chrysanthum Pall. in response to cold stress in the Changbai Mountains
Authors: Zhang Qingyi , Li Yue , Sun Li , Chu Shuangyan , Xu Hongwei , Zhou Xiaofu 
Published: July 2022

Abstract
Cold stress is one of the abiotic stresses that affect plant growth and development, as well as life and geographical distribution important. For researching how plants react to low temperature stress, Rhododendron chrysanthum Pall. (R. chrysanthum) growing in Changbai Mountains of China is an essential study subject. R. chrysanthum was cold-treated at 4°C for 12 h (cold-stress group-CS, and controls-CK), combined with transcriptomics (RNA-seq) and proteomics (iTRAQ) techniques, to investigate the response mechanisms of R. chrysanthum response to cold stress. Cold stress resulted in the discovery of 12,261 differentially expressed genes (DEGs) and 360 differentially expressed proteins (DEPs). Correlation of proteomic and transcriptome data, proteome regulation of distinct subcellular localization, and gene/protein functional groupings are all part of the investigation. The combined analysis showed that 6,378 DEPs matched the corresponding DEGs when the control was compared with the cold-treated samples (CK vs CS). The analysis identified 54 DEGs-DEPs associated with cold stress. cold-tolerant DEGs-DEPs were enriched with hydrolase activity, acting on glycosyl bonds, carbon-oxygen lyase activity and ferric iron binding. Seven potential DEGs-DEPs with significant involvement in the cold stress response were identified by co-expression network analysis. These findings identify the synergistic effect of DEGs-DEPs as the key to improve the cold tolerance of R. chrysanthum and provide a theoretical basis for further studies on its cold resistance subsequently.
A study of the factors associated with emergency department visits in advanced cancer patients receiving palliative care
Authors: Dumnui Netsakao , Nagaviroj Kittiphon , Anothaisintawee Thunyarat 
Published: July 2022

Abstract
Purpose: Several studies demonstrated that cancer patients visited the emergency department (ED) frequently. This indicates unmet needs and poor-quality palliative care. We aimed to determine the factors that contribute to ED visits in this population.Methods:A retrospective study was conducted between January and December, 2019. The trial ended when the patients died, were referred to other palliative programs, or the study ended date. All patients age > 18 years old were included. Patients were excluded if they died before discharge, were referred to other programs, or had an incomplete record. The Poisson regression analysis was done to investigate the factors associated with ED visits. The multiple logistic regression included variables with a P value < 0.15 from the univariate analysis.Results:Among a total of 227 patients, 93 visited the ED and 134 did not. Mean age was 65.5 years. Most prevalent cancers were colorectal(18.5%), lung(16.3%), and hepatobiliary(11.9%). At the end, 146 patients died, 45 were alive, nine were referred to other programs, and 27 were lost to follow-up. In univariate analysis, patients with >100 days from palliative consultation (IRR 0.3; 95%CI0.11, 0.80; p-value 0.02) were less likely to attend the ED. PPS 50-90% (IRR 1.56;95%CI 1.02,2.39; p-value 0.03) increased the ED visits. In the multivariate analysis, those two factors remained associated with ED visits:>100 days from the palliative consultation (IRR 0.27; 95%CI0.10, 0.73; p-value 0.01) and PPS 50-90% (IRR 1.76; 95%CI1.14, 2.72; p-value 0.01).Conclusions:Involving palliative three months before death in cancer patients may reduce ED visits.
A Robust Clustering-based Lossless Data Compression Technique for Air Quality Monitoring System
Authors: Ghose Banani , Rehena Zeenat 
Published: July 2022

Abstract
With the advent of the IoT and Big data, there is an enormous supply of datasets, which are captured by the sensors installed in the relevant places. For the air pollution monitoring system, several sensors provide a huge dataset. They continuously capture pollutant concentration as well as the meteorological factors to form the voluminous, multivariate time-series dataset, which includes both. Those sensors are paired with low-capacity batteries and limited memory, transmission, and computational components. Transmitting the high volume data to the monitoring system deployed in the cloud demands high energy dissipation and higher bandwidth. The single solution for all these constraints is data compression. Data compression reduces the volumes of the datasets. The reduced volume of data saves energy and it is easier to transmit the compressed data through the limited bandwidth. In this paper, a lossless data compression algorithm is proposed. On successful implementation of the algorithm, the data is compressed with absolutely no data loss. To evaluate the efficiency of the algorithm, its performance is compared with some classical and several state-of-the-art compression schemes. The experimental results show that the proposed compression algorithm outperforms the classical as well as state-of-the-art models concerning the performance evaluating parameters like Compression Ratio, Compression Factor, and most importantly Power Saving.
CCNB1IP1 stabilizes MYCN through suppression of Fbxw7-mediated degradation and facilitates the growth of MYCN-amplified neuroblastoma
Authors: Zhai Bo , Zhou Yang , Yan Hui , Zhou Qiang , Wang Penggao , Yang Fang , Yuan Ziqiao , Zhou Yunjiang 
Published: July 2022

Abstract
MYCN amplification is the most common genetic alteration and generally represents a negative prognosis for neuroblastoma (NB) patients. However, given the challenge of directly targeting MYCN, indirect strategies to modulate MYCN by interfering with its cofactors is attractive in NB treatment. Here, we showed that the cyclin B1 interacting protein 1 (CCNB1IP1) was highly expressed in MYCN-amplified (MYCN-AM) NB cell lines and patient-derived tumor tissues and closely associated with poor prognosis. Phenotypic studies confirmed that CCNB1I1P facilitated the proliferation and tumorigenicity of NB cells in cooperation with MYCN. Mechanistically, MYCN directly transactivated CCNB1IP1, which in turn attenuated the ubiquitination and degradation of MYCN protein, thus forming a positive feedback loop. Specifically, CCNB1IP1 competed with F box/WD-40 domain protein 7 (Fbxw7) for MYCN binding and enabled MYCN-mediated tumorigenesis in a C-terminal domain-dependent manner. Our research will provide new prospects for precise treatment of MYCN-AM NB based on MYCN-CCNB1IP1 interaction.
An enhanced YOLOv5 based on Color Harmony Algorithm for object detection in Unmanned Aerial Vehicle captured Images
Authors: Singh Chandra Has , Jain Kamal 
Published: July 2022

Abstract
Recent improvements in robotics and computer vision enable new camera-equipped drone applications. Aerial Object Detection (OD) is one. Despite recent advances, computer vision OD remains difficult. Due to UAVs' fast speed, different views, and fluctuating altitudes, objects in Unmanned Aerial Vehicle (UAV) photos are heterogeneous, fluctuate in size, and are dense, making OD challenging with existing algorithms. Existing object recognition algorithms perform worse on UAV images because OD in aerial images is more difficult than in ground-taken images. If a generic object detection technique is used to drone-captured images, its performance will be drastically degraded owing to the fact that varied surroundings with complicated background and the size of objects are at the core of this phenomena. In this work, an object detection model CHA-YOLOv5 is proposed. In the proposed system the detection module is optimized using the Color Harmony Algorithm, as it determines the prediction head from the available three prediction heads. CHA-YOLOv5 accurately predicts several bounding boxes per grid cell. The proposed model has been trained using several images from challenging contexts. The experimental results show that the objects are identified accurately using the proposed improved network model in this study. It achieved precision 98.675%, pecall 97.8023%, mAP 97.23%, F1 score 98.50%. Our system outperformed the YOLOV5, ResNet50, VGG19, and InceptionNet V3.
Vertical umbilical incision achieves better cosmesis than circumumbilical incision in transumbilical laparotomy in neonates and young infants
Authors: Tomita Hirofumi , Shimojima Naoki , Shimotakahara Akihiro , Tamada Ikkei , Ishikawa Miki , Hashimoto Makoto , Tsukizaki Ayano , Miyaguni Kazuaki , Hirobe Seiichi 
Published: July 2022

Abstract
Purpose: The transumbilical approach is widely used for minimally invasive surgery in children. We compared herein the postoperative cosmesis between two types of transumbilical approach, one involving a vertical incision and the other involving a circumumbilical incision.Methods: Patients with a transumbilical laparotomy before age 1 year were prospectively enrolled between January 2018 and December 2020. A vertical or circumumbilical incision was chosen at the surgeon’s discretion. A questionnaire about the appearance of the umbilicus was completed by the patients’ guardians at postoperative month 6 to assess satisfaction and determine the visual analog scale score. Patients receiving a relaparotomy via another site were excluded.Results: Forty patients were enrolled; 24 patients received a vertical incision while 16 received a circumumbilical incision. The incision length was significantly shorter in the vertical incision group (median: 2.0; range: 1.5–3.0 cm vs. median: 2.75; range: 1.5–3.6 cm) (P = 0.001). The patients’ guardians reported significantly higher satisfaction (P = 0.002) and higher scores on the visual analog scale (P = 0.046) in the vertical incision group (n = 22) than in the circumumbilical incision group (n = 15).Conclusion: A vertical umbilical incision can provide better, postoperative cosmesis than a circumumbilical incision.
Compact Tri-Band Antenna With Double Winding Structures for 3G/4G/5G Base Station Applications
Authors: R PRASANNA , P Saravanan , S Rajarajan 
Published: July 2022

Abstract
This paper introduces a compact triband antenna fed by a coplanar waveguide (CPW) for 3G/4G/5G base station applications with an ability to attain reversibility of transformer operation. The newly presented design provides Step-up and step-down transformer operation with double winding structures on either side of the central resonator. The antenna design is attained through methodical design procedures accompanied by thorough analysis for the development of prototypes rapidly. The proposed compact triband antenna performance is evaluated for both with and without windings in the antenna structure. The proposed design without the winding structure achieves a dual band of operation whereas the design with a winding structure achieves tri-band operation with improved S11 performance and very less VSWR. Two prototypes of triband UWB antenna with double winding structures of high design specifications are fabricated and tested to validate the proposed design principle. The effectiveness of the projected design is evident from the excellent association between simulated and measured results. It is shown that the proposed design is very effective with low cost and the fabricated prototypes of the antenna with double winding structures are very compact with the dimensions of 18.6 X 15.6 mm2 achieving three frequency bands of operations at 2.9 GHz,