bluuebunny/crossref_metadata_2025 huggingface dataset:
Single and combined effects of Pythium oligandrum Po37 and a consortium of three rhizobacterial strains on Sclerotinia stem rot severity and tomato growth promotion
Authors: Abdeljalil Nada Ouhaibi-Ben , Vallance Jessica , Gerbore Jonathan , Daami-Remadi Mejda , Rey Patrice
Published: June 2022

Individual plant growth-promoting rhizobacterial (PGPR) strains (B. thuringiensis B2, B. subtilis B10 and E. cloacae B16) and their combination were used, with or without Pythium oligandrum, against Sclerotinia sclerotiorum. In vitro, all BCAs reduced successfully hyphal growth of the targeted pathogenic fungus. They displayed antifungal activity by more than 50% compared to controls. In planta trials were conducted two years in the row and led to a significant decrease in stem rot severity two months after the antagonist’s application onto infected tomato plants: the reduction reached 75% using rhizobacterial mixtures and 72% using P. oligandrum solo, compared to controls. The plant growth-promoting potential of the three-strain consortium and P. oligandrum was also assessed. Increased height in disease-free plants was obtained with rhizobacterial mixtures (60%) compared to P. oligandrum (47%). The BCA’s mixture increased the height of treated plants inoculated with S. sclerotiorum (up to 80%) compared to inoculated and untreated plants. A 42% and 30% increase in fresh weight of aerial parts and roots was also observed on disease-free plants respectively for those treated with mixtures of rhizobacteria and P. oligandrum alone.On plants inoculated with S. sclerotiorum in both trials, the highest growth-enhancing effect was observed using the combined treatment of P. oligandrum and the three-strain rhizobacterial consortium (Po37+B2+B10+B16).Rhizospheric microbial communities were assessed using Single Strand Conformational Polymorphism (SSCP). Differences in the genetic structure of the fungal and bacterial communities were observed following treatments applied in both trials.
Estrogen-DNA adduct ratios as a predictor for breast cancer risk in premenopausal Asian women
Authors: Lin Ching-Hung , Zahid Muhammad , Kuo Wen-Hung , Hu Fu-Chang , Wang Ming-Yang , Chen I-Chun , Beseler Cheryl L. , Mondal Bodhisattwa , Lu Yen-Shen , Rogan Eleanor G. , Cheng Ann-Lii
Published: June 2022

Background
The incidence of breast cancer among East Asian women has been increasing rapidly in recent decades, but the etiology remains unclear. This case–control study investigated whether estrogen-DNA adducts ratio is a predictor of breast cancer risk in East Asian women.
Methods
The control group (n = 146) comprised healthy female volunteers and women with benign breast disease without atypia. The case group (n = 221) comprised women either with benign breast disease with atypia and breast cancer. The ratios of estrogen-DNA adducts to their respective metabolites and conjugates in plasma were analyzed using ultraperformance liquid chromatography and tandem mass spectrometry. The single nucleotide polymorphisms (SNPs) of CYP1A1, CYP1B1, and COMT were genotyped, and a logistic regression model was used to compare the estrogen-DNA adduct ratios between the two groups.
Results
The estrogen-DNA adduct ratio in the case group was significantly higher than that in the control group (median ratio: 58.52 vs. 29.36, P = 0.004). A multiple logistic regression model demonstrated that a unit increase in the natural log of the estrogen-DNA adduct ratio in premenopausal women was a significant predictor of breast cancer risk, with an estimated hazard ratio of 1.718 (1.444 − 2.046, P < 0.001). However, the CYP1A1, CYP1B1, and COMT SNPs were not associated with the estrogen-DNA adduct ratios.
Conclusion
Plasma estrogen-DNA adduct ratio predicts breast cancer risk in premenopausal women in East Asia, and the genotoxic effects may contribute to the carcinogenesis of this emerging disease.
Self-referenced interferometry for single-shot detection of vector-vortex beams
Authors: Kumar Praveen , Nishchal Naveen K. , Omatsu Takashige , Srinivasa A.
Published: June 2022

Vector-vortex (VV) beams are of significant interest for various applications. There have been substantial efforts toward developing a fast and efficient method for the characterization of generated VV beams which is crucial for their usage. Polarimetric approaches are commonly used to identify unknown VV beams but require multiple intensity recordings. This paper demonstrates a technique to detect VV beams and identify their parameters using the concept of self-referenced interferometry. The approach uses a single recorded interferogram to determine the beam parameters that allow rapid detection. The method even enables detection of VV beams having high-order optical vortices.
Impact of Maternal-Fetal Environment on Outcomes Following the Hybrid Procedure in the Single Ventricle Population
Authors: Nealon Erin , Phelps Christina , Krawczeski Catherine , Alexander Robin , Stiver Corey , Ball Molly K. , Carrillo Sergio A. , Texter Karen
Published: June 2022

Introduction: Treatment of infants with hypoplastic left heart syndrome (HLHS) remains challenging, and those affected remain with significant risks for mortality and morbidity throughout their lifetimes. The maternal-fetal environment (MFE) has been shown to affect outcomes for infants with HLHS after the Norwood procedure. The hybrid procedure, comprised of both catheterization and surgical components, is a less invasive option for initial intervention compared to the Norwood procedure. It is unknown how the MFE impacts outcomes following the hybrid procedure. Methods: This is a single-center, retrospective study of infants born with HLHS who underwent hybrid palliation from January 2009-August 2021. Predictor variables analyzed included fetal, maternal, and postnatal factors. The primary outcome was mortality prior to Stage II palliation.Results: We studied a 144-subject cohort. There was a statistically significant difference in mortality prior to stage II palliation in infants with prematurity, small for gestational age, and aortic atresia subtype (p<0.001, p=0.009, and p=0.008, respectively). There was no difference in mortality associated with maternal diabetes, hypertension, obesity, smoking or illicit drug use, or advanced maternal age. State and national area deprivation index scores were associated with increased risk of mortality in the entire cohort, such that infants born in areas with higher deprivation had a higher incidence of mortality.Conclusions: Several markers of an impaired MFE, including prematurity, small for gestational age, and higher deprivation index scores, are associated with mortality following hybrid palliation. Individual maternal comorbidities were not associated with higher mortality. The MFE may be a target for prenatal counseling and future interventions to improve pregnancy and neonatal outcomes in this population.
The prediction of PM2.5 concentration based on data decomposition and reconstruction algorithm and neural network model
Authors: Xiao Lushuang , Wang Guizhi
Published: June 2022

Since 2013, the concentration of PM2.5 in Beijing has been has dropped significantly, there is still there is still far from the World Health Organization’s revised 2021 target of 5µg/m 3 of the average annual concentration. We analyzed the monthly, quarterly and annual trends of PM2.5 concentrations in the Beijing, China, from 2014 to 2021 using independent T-test. In addition, we proposed a new combined PM2.5 concentration prediction model, which combines mode decomposition and reconstruction algorithm, convolutional neural network and long short-term memory neural networks. The results show that: (1) From 2016 to 2018, PM2.5 concentration in Beijing decreased at a fast pace, and then the decline entered a slow period. (2) The combination of the modal decomposition algorithm and neural network model can effectively process the PM2.5 concentration data with the characteristics of nonlinearity, instability and high complexity, and is more stable and generalizable. (3) The combination of convolutional neu-ral network and long short-term memory neural network model has a higher prediction accuracy than traditional neural network models. The research results are helpful to know the possible air pollution process in advance and take corresponding measures to reduce the harm caused by air pollution in the new stage of haze pollution.
Designing a decision aid of the Australian aspirin chemoprevention guidelines for colorectal cancer prevention
Authors: Milton Shakira , Macrae Finlay , McIntosh Jennifer G , Saya Sibel , Alphonse Pavithran , Yogaparan Thivagar , Karnchanachari Napin , Novy Kitty , Nguyen Peter , Lau Phyllis , Forbes Carmody , Cummings Kara-Lynne , Emery Jon David
Published: June 2022

Objectives
Australian guidelines recommend people aged 50 to 70-years-old, consider taking low-dose aspirin to reduce their risk of colorectal cancer. The aim was to design sex-specific decision aids (DAs) with clinician and consumer input including expected frequency trees (EFTs) to communicate risks and benefits of taking aspirin.
Methods
Semi-structured interviews were conducted with clinicians. Focus groups were conducted with consumers. The interview schedules covered ease of comprehension, design, potential effects on decision making, and approaches to implementation of the DAs. Thematic analysis was employed; independent coding by two researchers was inductive. Themes were developed through consensus between authors.
Results
Sixty-four clinician were interviewed over six-months in 2019. Twelve consumers, aged 50 to 70 years, participated in two focus groups in February and March 2020.
An inequality for multiple integral for distance and log normalized distance function of vectors
Authors: Agama Theophilus
Published: June 2022

In this note, we introduce the notion of the local product on a sheet and associated space. As an application, we prove that some inequalities of multiple integrals of the distance and the log normalized distance of vectors in space.
Pruning Method and Trellising Impact Hand- and Machine-harvested Yield and Costs of Production in ‘Legacy’ Highbush Blueberry
Authors: Strik Bernadine C. , Davis Amanda J.
Published: June 2022

A 6-year trial was established in Oct. 2015 in western Oregon to evaluate the effects of pruning and trellising on yield, hand- and machine-harvest efficiency, fruit quality, and costs of pruning and harvest of ‘Legacy’ highbush blueberry (complex hybrid based largely on Vaccinium corymbosum L. and Vaccinium darrowii Camp.). Pruning treatments began in Winter 2017–18 (before year 3) and continued each year through 2020–21 (year 6). Treatments included 1) recommended pruning for ‘Legacy’, removing less wood and leaving more short, thin laterals and a denser bush than is typical for most northern highbush cultivars (“control” with standard T-trellis), 2) control pruning and training to a V-trellis (“V”), and 3) standard northern highbush style pruning (“HB” with standard T-trellis). Fruit were harvested solely by hand in 2017 and 2018, and by hand for early harvests followed by machine for later harvests from 2019 to 2021. In most years, more wood was removed from HB- than control-pruned plants. On average, HB-pruned plants had a lower yield (6.7 kg/plant) than control-pruned plants, particularly those trained to a V-trellis (7.5 kg/plant). There was little effect of pruning treatment on fruiting season and hand- (7% drop) or machine-harvest efficiency (23% drop). Pruning method had no effect on berry weight, diameter, total soluble solids, or firmness over the study period or percent internal bruising in 2019. All of the ‘Legacy’ pruning methods studied required more time (358 to 561 h·ha−1) than the industry standard, ‘Duke’ (247 h·ha−1). Control and HB pruning did not differ in time to prune per unit area; however, in 2 of the 4 years, adding a V-trellis increased pruning time. On average, control and HB pruning had a similar cost per harvested fruit ($0.20 to $0.21/kg), whereas control pruning with a V-trellis ($0.23/kg) cost more than HB pruning. All treatments required the same amount of time to harvest (12.7 and 0.5 min·kg−1 for hand and machine picking, respectively). Total cost to prune and harvest ranged from $1.63/kg in 2019 to $3.43/kg in 2021 but was most heavily influenced by harvest costs rather than pruning. The one-time installation cost of $637/ha for the V-trellis was not compensated for by increased yield or efficiency of pruning or harvest compared with the control method with a standard T-trellis. Pruning according to recommended methods for ‘Legacy’ (control) increased yield without having a negative effect on fruit quality and had similar or lower costs to prune per kg of fruit harvested as typical northern highbush pruning.
PENANAMAN NILAI TOLERANSI MELALUI PEMBELAJARAN ISMUBA DI SMK MUHAMMADIYAH 2 TULUNGGUNG
Authors: , Muslih , , Faridi , , Romelah
Published: June 2022

Abstract: This study aims to describe the value of tolerance instilled in SMK Muhammadiyah 2 Tulungagung and the process of planting it to students. This research uses a qualitative approach with the type of case study, the place of research is at SMK Muhammadiyah 2 Tulungagung. The research data were obtained from the principal, Ismuba teacher and students using observation, interview and documentation techniques. Data analysis uses data reduction, data presentation and conclusion drawing by checking the validity of the data in the form of credibility and confirmability. The results showed that the cultivation of tolerance values ​​in SMK Muhammadiyah 2 Tulungagung was carried out through Ismuba learning materials which contained tolerance values. The process of planting through active learning both in terms of theory and practice. In ensuring success in instilling the value of tolerance, the school makes direct observations of both the status of active students and alumni. They are monitored regularly without them knowing by involving all teachers. From this evaluation, it was found that there were no cases of intolerance and blasphemy against multicultural values ​​by active students and alumni
NILAI-NILAI ISLAM WASATHIYAH PADA TEMA ISLAM NUSANTARA DALAM BUKU TEKS SKI TINGKAT MTS
Authors: Saleh Fauzi Ansori , Arif Mahmud
Published: June 2022

Abstract: These research aims to identify and explain Wasathiyah Islamic Values ​​(NISWA) on the theme of Nusantara Islam in the MTS Level SKI Student Book published by the Ministry of Religion of the Republic of Indonesia in 2015 and 2020 as well as to explain the similarities and differences along with the factors that cause them. As a library research, the data collection technique of this research is through documentation with content analysis techniques in analyzing the data. The results showed that there was NISWA in the two Student Books. This study also shows that there are similarities in the context of NISWA development which include the quantity and type of NISWA, one-to-one correspondence with several NISWA, the spirit of dynamics and creativity through the development of NISWA, the use of a consistent cultural approach and the selection of figures in the learning materials. The difference is seen in the total quantity of NISWA and the focus of its development in each chapter. The factors that cause differences in the development of NISWA in the two Student Books are the direction of the basic paradigm, reference sources and the distinction of Islam Nusantara in the form of material about Islamic boarding schools which is only found in the 2020 Student Book Published.
Integrating Corporate Social Responsibility in Reforming Trade Union Recognition Process
Authors: Siti Suraya Abd Razak  , Nik Ahmad Kamal Nik Mahmod  , Lee Su Yee  , Tan Shen Kian
Published: June 2022

Employees are one of the most important stakeholders in organisations but their interests are often neglected by employers, particularly from the perspective of trade unionism that plays an essential role in safeguarding employee interests. Currently, the existing legislation has discouraged trade union activities and this has directly deprived the employees of their rights for a better working conditions at the workplace. There is also an evidence of anti-union actions taken by employer in recognition claims in order to prevent collective bargaining with trade unions. Corporate social responsibility (CSR) is an important tool in an organisation where the interests of the stakeholders is sustained. This paper investigates the relationship between employer’s CSR practice and its role in reforming recognition process of trade union in Malaysia. Qualitative research is employed to achieve the objective of this study by way of analysing secondary data and conducting legalistic analysis of the case law and statutes related to the issue. Based on the findings of this study, it is found that trade union recognition process can be reformed through integrating CSR practice in the organisation.
The Implications of the Implementation Style and Middle Management Efforts in Strategy Management Implementation and Public Organisational Performance
Authors: Bienmali Kombate  , Konan Richard Kouadio
Published: June 2022

Strategy management implementation (SMI) in developing countries studies is becoming an exciting topic; however, there is a barrier to collect data. Furthermore, a possible mechanism relying on SMI in administration history has acknowledged limited empirical consideration. This paper examined the implication of the implementation style and middle management efforts in the relationship between SMI and organisational performance (OP). Data were collected on a sample of 212 Togolese administrators in eight ministries through structured questionnaires. In contrast to earlier studies in industrialised countries within the context of modernisation and democratisation, which suggested that the logical (M1) or logical-incremental (M3) style(s) is locus to drive changes and enhance OP, the finding revealed that the application of incremental style (M2) was associated with better OP than M1 or M3. Public organisations characterised by traditional bureaucracy and lack of administrative reform program implementation opted for M1 will likely strand and decrease performance.
Genome-Wide CRISPR-Cas9 Screening and Identification of Potential
Genes Promoting Prostate Cancer Growth and Metastasis
Authors: Sun Fa , Jia Zhenyu , Zhu Jianguo , Wang Wei , Yuan Dongbo , Jiang Kehua , Li Ruidong , Qu Han , Jiang Fu-Neng , Zhong Wei-De
Published: June 2022

Objective:

Identification and validation of genes that functionally account for the growth and metastasis of prostate cancer.

Methods:

DU145-KO cell line was constructed by transfecting DU145 cells with lentivirus packaged with the genome-wide knockout library. The DU145-KO cells were transplanted into the armpits of immunocompromised Nu/Nu mice, followed by the tissue collection from lung at week 3 (early lung tissue) or week 7 (late lung tissue with micro-metastasis), as well as from primary tumor site at week 7 (late primary tumor) after inoculation. Lung metastasis were retrieved at various time points for DNA sequencing analysis to identify enriched sgRNAs, thus candidate genes/miRNAs. Further bioinformatics analysis and limited functional validation studies were carried out.

Results:

DU145-KO cells promoted the formation of transplanted tumors in mice and promoted the growth and metastasis of primary tumors, compared to the controls (DU145-NC cells). The analysis of sequence data showed that the abundance of sgRNAs significantly changed in the primary tumor and micro-metastasis site. Fifteen target genes（C1QTNF9B, FAM229A, hsa-mir-3929, KRT23, TARS2, CRADD, GRIK4, PLA2G15, LOXL1, SLITRK6, CDC42EP5, SLC2A4, PTGDS, MYL9 and ACOX2 for the enriched sgRNAs have been selected for experimental validation, which showed that knockout of any of these genes led to enhanced potential of invasion and metastasis of DU145 cells.

Conclusion:

Genome-wide CRISPR-Cas9 knockout screening technology combined with high-throughput sequencing analysis identified genes that potentially relate to prostate tumor invasion and metastasis. Analysis of these genes provided insights into biological pathways relevant to the disease and disclosed innovative markers for diagnosis or prognosis as well as potential targets for therapy.
In silico Prediction and Pharmacokinetic Studies on Glucosinolates as a
Potential Drug and Key Inhibitor Molecule for Lanosterol-14α-
demethylase: A Fungal Membrane Biosynthesis Enzyme
Authors: Singh Gurpreet
Published: June 2022

Background:

Glucosinolates (β-thioglucoside-N-hydroxysulfates) are a water-soluble organic
anion with sulfur- and nitrogen-containing glycosides which are found in abundance in Cruciferous
plants. Ergosterol (ERG13) lanosterol-14α-demethylase protein has been targeted for inhibition
studies as a key regulator enzyme of fungal membrane biosynthesis.

Objectives:

To understand the molecular mechanism of inhibition of Ergosterol (ERG13) lanosterol-
14α-demethylase by various phytochemicals from brassicales, i.e., glucosinolates and their potential
role as putative drug molecules.

Methodology:

In this study, in silico analyses were performed to predict the molecular basis of various
glucosinolates as a potential inhibitor of lanosterol-14α-demethylase protein, which is a key regulator
of fungal membrane biosynthesis and its pharmacodynamics and toxicity profile. 3d structures of various
glucosinolates were retrieved from PubChem, and the target protein, lanosterol-14α-demethylase
(Pdb ID- 4lxj), was retrieved from the RCSB protein data bank. Molecular docking and interactions
were carried out using the PyRx software using the AutoDOCK toolbar with default parameters. Dru-
LiTo, ORISIS web servers were used to predict various drug likeliness predictions and Lipinski’s Rule
of 5, whereas admetSAR was used for prediction of toxicity, and PASS Program was used to study the
antifungal and antimicrobial properties of these compounds.

Results:

This study shows that among the different compounds screened, gluconasturtiin, Glucotropaeolin,
and Indolylmethyl-Glucosinolate showed the highest binding energies of -8.7 kcal/mol, -8.5
kcal/mol, and -8.3 kcal/mol with the lanosterol-14α-demethylase, respectively. Further all the compounds
follow the Lipinski’s rule as well as they are found to be non-carcinogenic and non-cytotoxic
in nature. These compounds also show antifungal properties.

Conclusion:

This study thus reveals that various glucosinolates interact with the ERG13 enzyme at
various amino acid positions, which behaves as a catalytic site, thus indicates the probable mechanism
of inactivation, and subsequently, these can be used as potential drug molecules. In vitro studies can be
taken to further examine the utility of these compounds as antifungal agents.
Synthetic Procedures to Access 2-Guanidinobenzazoles of Biological Interest
Authors: Cruz Alejandro , Rosales-Hernández Martha C. , Mendieta-Wejebe Jessica E. , Tamay-Cach Feliciano
Published: June 2022

Benzazoles (Bz) and derivatives are interesting molecules in medicinal chemistry.
Several of these compounds display diverse biological activities; some are still used in clinical
applications. In this way, synthetic chemists are interested in developing new procedures
to access compounds with the guanidine moiety as 2-aminobenzimidazole (2ABI), Astemizole
(antihistaminic), Albendazole (anthelmintic) and Carbendazim (fungicide). The guanidine
group, considered a super base bonded to a benzoxazole ring, results in the 2-guanidinobenzazoles
(2GBZs), which could modify the biological activity of these heterocycles. On
these bases, we prepared this review article, which covers chemical aspects of 2-guanidinobenzoazoles
as potential therapeutic agents and summarizes the current knowledge on the
mechanism of pharmacological activities such as cytotoxic, inhibition of cell proliferation via
angiogenesis and apoptosis. Specifically, it highlights the most recent results of synthetic approaches
to 2GBZs with variety of modifications and functionalization with aromatic, carbohydrate,
and amino-acid moieties as illustrated on 28 schemes and is concluded with 141
references. Additionally, the format of this interesting review is exclusively designed on specifically
classified category of chemical reactions with primary precursors such as o-substituted
anilines and 2-aminobenzazoles (2ABZs). This will constitute the important goals and
novelty of this paper to facilitate synthetic chemists in the investigation about development
of new pharmacophores.
An Overview of Palladium-Catalyzed Fabrication of Some Heterocyclic
Frameworks
Authors: Devi Ahanthem Priyanca , Ameta Keshav Lalit , Penoni Andrea , Akhmetova Vnira R. , Pawar Rajendra P. , Fatimah Is
Published: June 2022

Heterocycles are the largest family of organic compounds due to their wide applications as therapeutic agents, synthetic intermediates, scaffolds, building blocks or fine chemicals. Heterocyclic compounds are continuously used in material science, biotechnology, pharmaceutical and agrochemical industries. In the past few years, the use of transition metal complexes especially palladium as a heterogeneous catalyst has become a trend for the synthesis of various organic compounds. Pd-catalyzed reactions have proven to be effective ways for synthesising a variety of heterocyclic compounds, which are a popular class of molecules in chemical study. Hence, in this review we have discussed the palladium catalyzed synthesis of various heterocyclic compounds i,e. furan, indole, quinoline, coumarin and some other heterocycle derivatives.
Construction and Investigation of circRNA-associated ceRNA Regulatory
Network in Molecular Subtypes of Breast Cancer
Authors: Luo Jiesi , Zhong Yinming , Pan Sicen , Zhi Shunji , Li Yue , Xiu Zhiping , Wei Changran
Published: June 2022

Background:

Circular RNAs (circRNAs) act as competing endogenous RNAs (ceRNAs)
that indirectly regulate gene expression and function by binding microRNAs (miRNAs). A
growing body of evidence indicates that the ceRNA networks can be used as an effective method
to investigate cancer; however, the construction and analysis of ceRNA networks, especially
circRNA-miRNA-mRNA regulatory network, in different subtypes of breast cancer have not been
previously performed.

Objectives:

The current study provides a potential application of the ceRNA network within BC
subtypes and may offer new targets for their diagnosis, therapy and prognosis.

Methods:

First, the expression profiles of circRNA, miRNA, and mRNA were downloaded from
the GEO database, differentially expressed genes were obtained using GEO2R, and a ceRNA network
was constructed based on circRNA-miRNA pairs and miRNA-mRNA pairs, consisted of 10
circRNAs, 25 miRNAs and 39 mRNAs. Further studies of BC subtypes based on TCGA datasets
were also performed to validate the effect of a novel ceRNA network.

Results and Discussion:

Then, the related genes in the regulatory network were analyzed by GO
functional annotation and KEGG pathway enrichment. The analysis showed that targeted genes
were enriched in 97 GO terms and 25 KEGG pathways, involved in the molecular typing of breast
cancer. Meanwhile, Kaplan-Meier analysis revealed that three key genes (MKI67, DEF8, and
GFRA1) were significantly associated with BC tumor differentiation and prognosis.

Conclusion:

The current study provides a potential application of ceRNA network within BC subtypes, and may offer new targets for their diagnosis, therapy and prognosis.
Co-culture of Liver Parenchymal Cells with Non-parenchymal Cells Under 2D and 3D Culture Systems; A Review
Authors: Farzaneh Zahra , Khojastehpour Fatemeh , Keivan Mona , Farzaneh Maryam
Published: June 2022

Hepatocytes are the major parenchymal cells (PC) in the liver and present an important role in liver metabolism. Hepatocytes are considered a gold standard tool for drug toxicity/screening or liver disease modeling. However, the maturation and functions of hepatocytes are lost under routine 2- dimensional (2D) culture conditions. Recent studies revealed that the interactions between hepatocytes and non-parenchyma cells (NPC) under 3D culture conditions can be an alternative option for optimizing hepatocyte maturation. Co-culture of hepatocytes with NPC simplifies the in-vitro liver disease models of fibrosis, steatosis and non-alcoholic fatty liver disease (NAFLD), cholestasis, and viral hepatitis. This review described the co-culture of liver PC with NPC under 2D and 3D culture systems.
Management of A Bad Split Complication: A Systematic Review
Authors: Afifah Naaila , Maulina Tantry , Yuza Abel Tasman
Published: June 2022

Introduction:

Bad split is one of the well-known intra-operative complications that occur during the bilateral sagittal split osteotomy (BSSO) procedure, which is a rehabilitation procedure for patients with mandibular deformities. The prevention of further post-surgery complications required sufficient management of bad split complications.

Objective:

This study aimed to analyze the management of bad split complications during a BSSO procedure.

Methods:

The literature review was conducted in the form of library research in the field of bad split complications' management by a BSSO based on the Preferred Reporting Items for Systematic Reviews (PRISMA). Related studies were found through using a manual search using Pubmed, ScienceDirect, Ebscohost, Scopus, Medline, Embase, and Web of Science, among other search engines. The inception of incorporation standards, the process of data extraction, and the determination of the risk of bias were carried out by the authors. The process of data screening was conducted by applying the inclusion and exclusion criteria.

Results:

This paper systematically reviewed seven related studies, four of which were case series and two of which were cross-sectional. The utilization of additional osteosynthetic plates was revealed throughout the extraction process as the most acquainted course of action to manage the bad split complications during the BSSO procedure.

Conclusion:

The osteosynthetic plate and miniplate application with bicortical or monocortical screws were exposed as the most used treatment for bad split complications.
IoT-Enabled Energy-efficient Multipath Power Control for Underwater
Sensor Networks
Authors: Shaker Reddy Pundru Chandra , Sucharitha Yadala
Published: June 2022

Aims & Background:

Energy saving or accurate information transmission within resource limits were major challenges for IoT Underwater Sensing Networks (IoT-UWSNs) on the Internet. Conventional transfer methods increase the cost of communications, leading to bottlenecks or compromising the reliability of information supply. Several routing techniques were suggested using UWSN to ensure uniform transmission of information or reduce communication latency while preserving a data battery (to avoid an empty hole in the network).

Objectives & Methodology:

In this article, adaptable power networking methods based on the Fastest Route Fist (FRF) method and a smaller amount of the business unit method are presented to solve the problems mentioned above. Both Back Laminated Inter Energy Management One (FLMPC-One) networking method, that employs 2-hop neighborhood knowledge, with the Laminated Inter Energy Management Two (FLMPC-Two) networking procedure, which employs 3-hop neighborhood data, were combined to create such innovative technologies (to shortest path selection). Variable Session Portion (SP) and Information Speed (IS) were also considered to ensure that the suggested method is flexible.

Results & Conclusions:

These findings show that the suggested methods, Shortest Path First without 3-hop Relatives Data (SPF-Three) or Broadness Initial Searching for Shortest Route. Breadth First Search to 3-hop Relatives Data (BFS-Three) was successfully developed (BFS-SPF-Three). These suggested methods are successful in respect of minimal Electric Cost (EC) and Reduced Transmission Drop Rates (RTDR) given a small number of operational sites at a reasonable latency, according to the simulated findings.
High Free Volume Polymeric Membranes for CO2 Capture: Stateof-
the-art
Authors: Wan Ruilin , Ma Yulei , Wei Jing , Guo Hongfang , Fan Jianan , Qin Zikang , Dai Zhongde
Published: June 2022

Carbon dioxide (CO2) capture has been widely accepted to be a prerequisite
strategy to mitigate the increase of CO2 concentration in the atmosphere. Membrane separation
has been envisaged to be one of the most promising technologies for CO2 capture
due to its small footprint, simple up- and down-scaling, and low impact on the environment.
Owing to their extraordinary high CO2 permeability and moderate CO2 selectivity
over other gases, high free volume polymeric membrane materials have been intensively
studied for CO2 capture. In the past few years, abundant high free volume polymers have
been developed and big progress has been made in this field. Therefore, in this review,
starting from CO2 emissions and sources, followed by CO2 transport mechanisms in polymeric
membranes, this paper emphasizes reviewing recent research progress in high
free volume membrane materials, collecting and analyzing CO2 separation data, as well
as discussing the challenges of high free volume polymeric membranes. Furthermore,
perspectives on future directions of high free volume polymeric membranes were also
proposed.
effect of financial literacy, income and years of service on investment decision behavior
Authors: Suryadi I Gede Iwan , Prayustika Putu Adriani , Utami Made Ayu Jayanti Prita
Published: June 2022

The purpose of this study was to explain the effect of financial literacy, income and years of service on investment decision behavior in employees. Research respondents were employees of PT Bank Pembangunan Daerah Bali Renon Branch with a sample of 76 people. The sampling technique in this study used random sampling. The data were analyzed using the PLS (Partial Least Squares) technique. The results of this study indicate that financial literacy and income have a positive effect on investment decision behavior, but tenure has no positive effect on investment decision behavior. This is because in the banking industry, all employees, both those who have just entered the workforce or those who have worked together for a long time, receive training and obtain information regarding financial developments and current financial conditions. In other words, the understanding of financial literacy and employee behavior is almost the same.
Üniversite Öğrencilerinin Beslenme Bilgi Düzeyi ve Obezite Durumunun Değerlendirilmesi
Authors: ATASOY Simge , GÜNGÖR Anıl Evrim
Published: June 2022

Giriş: Dünyada ve ülkemizde önemli bir sağlık sorunu olan obezitenin oluşumuna pek çok faktör katkıda bulunmaktadır. Sunulan çalışma beslenme bilgi düzeyinin üniversite öğrencilerindeki obezite üzerindeki etkisini araştırmak amacıyla yapılmıştır. Yöntem: Çalışma 252 üniversite öğrencisi ile yürütülmüştür. Antropometrik ölçümler (vücut ağırlığı, boy uzunluğu, bel, kalça çevresi) yapılmış ve beden kütle indeksi (BKİ) ve bel/kalça oranı (BKO) hesaplanmıştır. Vücut yağ analizi için biyoelektirik impedans yöntemi kullanılmıştır. Yetişkinler İçin Beslenme Bilgi Düzeyi Ölçeği (YETBİD) kullanılarak öğrencilerin beslenme bilgi düzeyleri değerlendirilmiştir. Bulgular: Kadınların vücut yağ oranı daha yüksektir (p<0,001). Erkeklerin %39,7’sinin kadın öğrencilerin ise 14,3’ünün şişman olduğu gözlenmiştir (p<0,001). Bel çevresi ölçümü ve BKO’ya göre cinsiyetler arasında anlamlı fark yoktur (p>0,001). Sigara ve alkol tüketimi erkeklerde daha fazladır (p<0,05). Kadınların temel beslenme ve besin tercihi bilgi düzeyleri erkeklerden daha yüksektir (p<0,05). Kadın ve erkek öğrencilerin BKİ, bel çevresi ölçümleri, vücut yağı oranı ve BKO’ları ile beslenme bilgi düzeyi ve besin tercihleri arasında anlamlı bir ilişki yoktur (p>0,05). Sonuç: Kadın öğrencilerin beslenme bilgi düzeyleri daha iyi olmasına karşın, beslenme bilgi düzeyi alt ölçekleri ile BKİ, BKO, bel çevresi ölçümü ve vücut yağ oranları erkek öğrencilerden farklılık göstermemektedir. Beslenme bilgi düzeyinin obezitenin önlenmesindeki etkisinin ortaya çıkarılması için daha çok araştırmaya gerek vardır.
Covid-19 Pandemi Sürecinde Annelerin Bebek Besleme Tutumları ve Bu Tutumları Etkileyen Faktörler: Facebook, Instagram Örneği
Authors: ÇEVİK GÜNER Ümran , İNAN Betül
Published: June 2022

Amaç: Bu araştırma Covid-19 pandemi sürecinde annelerin bebek besleme tutumlarını ve etkileyen faktörleri değerlendirmek amacıyla yapılmıştır.
Yöntem: Türkiye’de yaşayan 0-6 ay arasında bebeği olan emziren, gönüllü ve iletişim kurulabilen anneler tanımlayıcı tipteki bu araştırmanın örneklemini(n=402) oluşturmuştur. Veriler sosyal ağlar aracılığıyla Google anket formuna eklenen anne tanıtım formu, Iowa Bebek Beslenmesi Tutum Ölçeği, Edinburgh Doğum Sonu Depresyon Ölçeği (EPDÖ) ve Emzirme Öz-yeterlilik Ölçeği (EÖYÖ) kullanılarak toplanmıştır.
Bulgular: Araştırma sonucuna göre Iowa Bebek besleme tutumları toplam puanına bakıldığında 64.41±5.50 olduğu bulunmuştur (min=17, max= 85). Annelerin bebek besleme tutumlarını eğitim durumu, öz-yeterlilik düzeyi, eş-evlilik ilişki memnuniyet durumunun etkilediği görüldü. Annelerin mesleği, gebeliği isteme durumu, doğum öyküsü, başka çocuk varlığı, gebeliğinde emzirme ve anne sütü hakkında eğitim alma durumunun ise etkilemediği saptandı(p>0.05). Ayrıca annelerin bebek besleme tutumları ile öz-yeterlilik düzeyi arasında pozitif yönde, depresyon düzeyi ile negatif yönde ilişki olduğu saptandı(p<0.001). Covid- 19 tanısı alan annelerin bebek besleme tutumlarının tanı almayanlara göre daha düşük olduğu bulundu(p<0.05).
Sonuç: Pandemi sürecinde anneler anne sütü ile besleme konusunda kararsızdı. Ayrıca annelerin öz yeterlilik düzeyleri arttıkça ve depresyon düzeyleri azaldıkça anne sütü verme tutumlarının arttığı görüldü. Bu doğrultuda pandemi sürecinde gebelik ve postpartum dönemde anneler emzirmenin artırılması konusunda daha fazla izlenmeli ve ruhsal yönden daha fazla desteklenmelidir.
Right-wing extremism and its determinants: a theoretically integrative approach
Authors: Khalfa Robin
Published: June 2022

Many studies, in their examinations and explanations of the causes of violent extremism, can be found to be lacking in an integration of the factors of individual differences in the causes of political or religious violence. Also most studies on the topic do not emphasize the role of causal processes in these phenomena. The present study tries to overcome this lacking. Hence, its purpose is to test Wikström’s ‘Situational Action Theory’ (SAT). More specifically in relation to ‘self-reported’ ‘right-wing political violence’ (n = 723). To that effect this study examines the role of ‘perceived grievances’ and ‘us-versus-them’ attitudes to explain the causes of right-wing political violence. Key ‘strain-related’ variables are grouped under those two overarching concepts and are then integrated in the social model of SAT as ‘causes of the causes’, in this case then of right-wing political violence. The results of this analysis support the main hypothesis tested by this article: the secondary effects generated by the causes of the causes of (self-reported) right-wing political violence also manifest themselves in broader moral support for right-wing extremism, causing in their turn probabilistically more future violence, yet also in more self-control abilities, limiting or controlling the generation of more future violence. The limitations of this study are discussed in relation to suggestions for future scientific studies on the topic. Finally, policy recommendations are suggested.
'Chosen trauma' and 'chosen glory' - China's wounded nationalism and national consciousness
Authors: Dessein Bart
Published: June 2022

China’s defeat against British military forces in the Opium War (1839–1842) heralded a quest for a Chinese modernity of its own. That China’s modernity is, in the contemporary period, conspicuously formulated in terms that refer to the country’s imperial past, shows how China’s national consciousness is permeated with the mission to rectify the trauma of the 19th century. The present contribution describes the impact of this historical trauma on how China positions itself in the world.
Translation and Validation Study of the French Version of the eHealth Literacy Scale: Web-Based Survey on a Student Population
Authors: Chaniaud Noémie , Sagnier Camille , Loup-Escande Emilie
Published: June 2022

Background

eHealth literacy is emerging as a crucial concept for promoting patient self-management in an overloaded hospital system. However, to the best of our knowledge, no tool currently exists to measure the level of eHealth literacy among French-speaking people. The eHealth Literacy Scale (eHEALS) is an easy-to-administer 8-item questionnaire (5-point Likert scale, ranging from strongly disagree to strongly agree) that has already been translated into many languages. Currently, it is the most cited questionnaire in the literature.

Objective

The aim of this study was to translate eHEALS to French and validate the French version of eHEALS (F-eHEALS).

Methods

The validation of the F-eHEALS scale followed the 5 steps of the transcultural validation method: double reverse translation, validation by a committee of experts (n=4), pretest measurement to check the clarity of the items (n=22), administration of the scale in French via a web-based quantitative study combined with two other questionnaires (Health Literacy Survey-Europe–16 and Patient Activation Measure–13; N=328 students), and finally test-retest (n=78) to check the temporal stability of the measurements obtained from the scale.

Results

The results obtained for the measurement of factor structure, internal consistency, and temporal stability (intraclass correlation coefficient=0.84; 95% CI 0.76-0.9; F77,77=6.416; P<.001) prove the validity and fidelity of the proposed scale. The internal consistency of F-eHEALS was estimated by Cronbach α of .89. The factor analysis with varimax rotation used to validate the construct showed a 2-factor scale. The effect of the construct was analyzed using 3 hypotheses related to the theory. The F-eHEALS score was correlated with the Health Literacy Survey-Europe–16 score (r=0.34; P<.001) and the Patient Activation Measure–13 score (r=0.31; P<.001).

Conclusions

F-eHEALS is consistent with the original version. It presents adequate levels of validity and fidelity. This 2D scale will need to be generalized to other populations in a French-speaking context. Finally, a version taking into account collaborative applications (ie, Health 2.0; eg, Digital Health Literacy Instrument scale) should be considered on the basis of this study.
Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record–Based Machine Learning: Development and Validation
Authors: Yang Hao , Li Jiaxi , Liu Siru , Yang Xiaoling , Liu Jialin
Published: June 2022

Background

Hypoglycemia is a common adverse event in the treatment of diabetes. To efficiently cope with hypoglycemia, effective hypoglycemia prediction models need to be developed.

Objective

The aim of this study was to develop and validate machine learning models to predict the risk of hypoglycemia in adult patients with type 2 diabetes.

Methods

We used the electronic health records of all adult patients with type 2 diabetes admitted to West China Hospital between November 2019 and December 2021. The prediction model was developed based on XGBoost and natural language processing. F1 score, area under the receiver operating characteristic curve (AUC), and decision curve analysis (DCA) were used as the main criteria to evaluate model performance.

Results

We included 29,843 patients with type 2 diabetes, of whom 2804 patients (9.4%) developed hypoglycemia. In this study, the embedding machine learning model (XGBoost3) showed the best performance among all the models. The AUC and the accuracy of XGBoost are 0.82 and 0.93, respectively. The XGboost3 was also superior to other models in DCA.

Conclusions

The Paragraph Vector–Distributed Memory model can effectively extract features and improve the performance of the XGBoost model, which can then effectively predict hypoglycemia in patients with type 2 diabetes.
Digital Health Technologies Enabling Partnerships in Chronic Care Management: Scoping Review
Authors: Wannheden Carolina , Åberg-Wennerholm Matilda , Dahlberg Marie , Revenäs Åsa , Tolf Sara , Eftimovska Elena , Brommels Mats
Published: June 2022

Background

An increasing number of patients expect and want to play a greater role in their treatment and care decisions. This emphasizes the need to adopt collaborative health care practices, which implies collaboration among interprofessional health care teams and patients, their families, caregivers, and communities. In recent years, digital health technologies that support self-care and collaboration between the community and health care providers (ie, participatory health technologies) have received increasing attention. However, knowledge regarding the features of such technologies that support effective patient-professional partnerships is still limited.

Objective

This study aimed to map and assess published studies on participatory health technologies intended to support partnerships among patients, caregivers, and health care professionals in chronic care, focusing specifically on identifying the main features of these technologies.

Methods

A scoping review covering scientific publications in English between January 2008 and December 2020 was performed. We searched PubMed and Web of Science databases. Peer-reviewed qualitative, quantitative, and mixed methods studies that evaluated digital health technologies for patient-professional partnerships in chronic care settings were included. The data were charted and analyzed thematically. The PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist was used.

Results

This review included 32 studies, reported in 34 papers. The topic of participatory health technologies experienced a slightly increasing trend across publication years, with most papers originating from the United States and Norway. Diabetes and cardiovascular diseases were the most common conditions addressed. Of the 32 studies, 12 (38%) evaluated the influence of participatory health technologies on partnerships, mostly with positive outcomes, although we also identified how partnership relationships and the nature of collaborative work could be challenged when the roles and expectations between users were unclear. Six common features of participatory health technologies were identified: patient-professional communication, self-monitoring, tailored self-care support, self-care education, care planning, and community forums for peer-to-peer interactions.

Conclusions

Our findings emphasize the importance of clarifying mutual expectations and carefully considering the implications that the introduction of participatory health technologies may have on the work of patients and health care professionals, both individually and in collaboration. A knowledge gap remains regarding the use of participatory health technologies to effectively support patient-professional partnerships in chronic care management.