bluuebunny/crossref_metadata_2025 huggingface dataset:
Intercalary frozen autografts for reconstruction of bone defects following meta-/diaphyseal tumor resection at the extremities
Authors: Yang Jingyan , Li Wenze , Feng Rongjie , Li Dong
Published: February 2022

Background
To evaluate the clinical outcome and complications of limb malignant tumors treated with intercalary resection and frozen autograft reconstruction.
Methods
We reviewed 40 patients who had malignant bone tumors treated by wide resection and recycling liquid nitrogen-treated autograft reconstruction between 2006 and 2017. The limb function, bone union at the osteotomy site and complications were evaluated. Functional outcome was assessed using Musculoskeletal Tumor Society (MSTS) scoring system.
Results
The most common tumor was osteosarcoma (11 cases) followed by Ewing’s sarcoma (7 cases). Tumors were located in humerus (5), ulna (1), femur (13) and tibia (21). The mean follow-up period was 48.4 months (range 11–127 months). In 40 patients, 19 patients remained disease-free and 3 patients were alive with disease. The mean size of the defect after tumor resection was 12.1 cm (range 5-24cm). Bone union was achieved in 37 patients with a mean union time 8.7 months (range 4–18 months). 15 complications were encountered in 14 patients, including 3 graft non-unions, 3 infections (1 superficial, 2 deep infection), 4 limb length discrepancies, 2 graft fractures and 3 local recurrences. The mean MSTS score was 82.5% (range 50–100%). Excellent functional results were achieved in 24 patients (60%) and good in 14 (35%).
Conclusions
Liquid nitrogen treated tumor-bearing autograft is a simple and effective option for biologic reconstructions after meta-/diaphyseal tumor resection of long bone. This method has excellent clinical outcome and is especially recommended for patients with non-osteolytic primary or secondary bone tumors.
Renin and (pro)renin receptors induce vascular smooth muscle cell proliferation and neointimal hyperplasia by activating oxidative stress and inflammation
Authors: Zhang Nana , Song Xiaosu , Bian Yunfei , Bai Rui , Yang Huiyu , Wang Gang , Li Hong , Xiao Chuanshi
Published: February 2022

This study aimed to observe the role of (pro)renin receptor ((P)RR) in the proliferation of vascular smooth muscle cells (VSMCs) in vitro and neointimal hyperplasia in the arterial injury model. Cell proliferation was measured by CCK-8 and flow cytometry; RT-PCR and WB assays were used to detect the expressions of cyclin D1, PCNA, (P)RR, NOX1, and PI3K/AKT signal proteins; immunofluorescent staining was conducted to measure the expression of (P)RR; the levels of renin, PDGF-BB, inflammatory factors, and oxidative stress were determined by ELISA; the pathological change was observed by HE staining. Renin could promote the proliferation of rat VSMCs by enhancing cell viability and cell cycle proteins, but silencing (P)RR restrained this. Furthermore, renin could enhance the levels of NOX1-mediated oxidative stress and inflammation by activating the ERK1/2-AKT pathway in vitro. Similarly, inhibition of (P)RR resulted in an opposite phenomenon. Importantly, inhibition of (P)RR could inhibit neointimal hyperplasia in vivo after common carotid artery injury through restraining NOX1-mediated oxidative stress by downregulating the ERK1/2-AKT pathway. Renin and (P)RR induced vascular smooth muscle cell proliferation and neointimal hyperplasia by activating oxidative stress, inflammation, and ERK1/2-AKT pathway in an angiotensin Ⅱ (Ang Ⅱ)-independent manner.
Synthesis of Some Alkyl Polyglycosides
Authors: DEMİREL Volkan , DONAT Ramazan
Published: February 2022

Surfactants are indisputably more important today, in terms of their use in industry and daily life, as well as the tasks they perform. In recent years, due to the driving force of environmental concerns, orientations to alternatives of surfactants that cause less or no harm to the environment have accelerated. One of these trends is the synthesis of alkyl polyglycosides (APG) and their use in the detergent industry. In this study, different acidic catalysts were used for the synthesis of APGs and the highest yield was achieved with sulfuric acid. APGs with different carbon numbers were obtained using octanol, decanol, dodecanol, and octanol/cetyl alcohol (w/w 80/20). The FTIR spectra of the structures of APG products obtained with these fatty alcohols and some commercial APG products were compared, and their structures were elucidated. In addition, the foam quality of the obtained APGs and the hydrophilicity properties they impart to the textile material were compared with some commercial surfactants, and the results were interpreted and evaluated.
In vitro production of tropane alkaloids from Brugmansia suaveolens
Authors: TALAS OĞRAŞ Tijen , TAHTASAKAL Elif , ÖZTÜRK Selma
Published: February 2022

For thousands of years, secondary metabolites have been utilized as medications, flavors, pesticides, and dyes. For the generation of valuable secondary metabolites, in vitro plant culture techniques have been viewed as beneficial alternatives to whole plants. Brugmansia suaveolens is an ornamental plant including anticholinergic agents which are employed in medicine. Callus induction was performed from leaf and internode explants cultured on Murashige and Skoog’s medium supplemented with different concentrations and combinations of plant growth regulators (PGRs) with 6 treatments. The highest callus induction response was obtained from the leaf-originated explants (73%) on the medium supplemented with 0.4 mg/L KIN and 0.2 mg/L NAA which produced friable callus in 4 weeks. The cell suspension culture of B. suaveolens was established in shake flasks using friable calli. The extraction protocol of tropane alkaloids was optimized, atropine and scopolamine were obtained efficiently. The data could provide technical support for the large-scale production of valuable alkaloids of B. suaveolens in vitro systems with improved strategies.
Curvularia lunata: A fungus for possible berberine transformation
Authors: YILMAZ Deniz , AVCI Fatma Gizem , SARIYAR AKBULUT Berna
Published: February 2022

The prevalence of multidrug-resistant microorganisms results in an urgent need for the development of new antimicrobial agents or new treatment strategies. In this sense, plants serve different alternatives. Berberine, a plant-derived compound, is one of the alkaloids known to display antimicrobial activity against several types of microorganisms, while its being a substrate of various efflux pumps causes a decrease in its efficacy. Biotransformation makes it possible to obtain novel or more effective compounds with only minor structural modifications using enzyme systems. In this study, biotransformation of berberine by Curvularia lunata was examined. The working concentration of berberine was determined by observing the microbial growth on agar plates. The concentration of residual berberine in the media was analyzed by HPLC. In addition, laccase and beta-glucosidase enzyme activities were followed for their possible roles during the biotransformation of berberine. The results show that at the end of 14 days, C. lunata consumed 99% and 87% of berberine with the initial concentrations of 0.35 mg/mL and 0.5 mg/mL, respectively. Enzyme activities were not affected significantly. Since the concentration of berberine decreased, the biotransformation of berberine by C. lunata could be mentioned. Monitoring of biotransformation products plays a crucial role in discovering novel antimicrobial compounds and new valuable molecules.
Pengembangan Website Marketplace Binatang Peliharaan dengan Fitur Lelang Menggunakan Metode Rapid Application Development
Authors: Sutjiadi Raymond , Rahmawati Titasari , Halim Edbertinus
Published: February 2022

Through marketplace website, someone can open a business using relatively low capital without the need to open physical store. The benefit using marketplace website is wider market range so that able to get customers easily. On the other hand, pet lovers often feel difficulties to buy a pet. Moreover, rare pets are traded using higher bargaining price between sellers and buyers. This causes difficulties to find mutually beneficial price on both sides. In this research is developed marketplace website to sell pets, which is equipped with auction feature. Via this auction feature will facilitate sellers and buyers to find beneficial dealling price. This website is developed using Rapid Application Development method which prioritizes the speed of application development. The features of this marketplace website are depicted using Unified Modelling Language (UML). From the testing result, it can be seen that buying and selling features can simplify sellers to market their products. Auction feature also can run automatically on certain determined deadline to find best bidding price from buyer
Evaluasi Tingkat Penerimaan Sistem Manajemen Aset Menggunakan Metode HOT-FIT
Authors: Amiruddien Muhammad , Widodo Aris Puji , Isnanto R Rizal
Published: February 2022

The development of the institution will be directly proportional to the development of the number and types of assets it owns. The growing number and type of assets owned by an institution will have an impact on increasingly difficult management. In asset management, Diponegoro University has developed an Sistem Informasi Manajemen Aset Terpadu (SIMASET). SIMASET needs to be evaluated to find out its shortcomings and can be input for further development. This study aims to determine the factors that influence the level of acceptance and net benefits received by users from the application of SIMASET using the Human-Organization-Technology (HOT-Fit) method. This study begins with designing hypotheses, determining the sample of respondents, filling out questionnaires, and ending with questionnaire data analysis. There are 20 hypotheses tested regarding the relationship between technology, human and organizational constructs in the HOT-Fit method. The Partial Least Squares-Structural Equation Modeling (PLS-SEM) method in the Smart-PLS 3.0 application is used to analyze the questionnaire data that has been filled out by SIMASET direct users. The results showed that the net benefits of implementing SIMASET were increasing effectiveness, helping decision making, reducing errors and facilitating communication. In addition, it can be seen that SIMASET's shortcomings lie in the quality of information and service quality because they have no significant effect on system use and user satisfaction. SIMASET acceptance rate of 51.6% or moderate taken from the R-square value of net benefits.
Recent Applications of Artificial Intelligence in Early Cancer Detection
Authors: Khanam Nausheen , Kumar Rajnish
Published: February 2022

Cancer is a deadly disease that is often caused by the accumulation of various
genetic mutations and pathological alterations. The death rate can only be reduced when
it is detected in the early stages, because cancer treatment when the tumor has not metastasized
in many regions of the body is more effective. However, early cancer detection is
fraught with difficulties. Advances in artificial intelligence (AI) have developed a new
scope for efficient and early detection of such a fatal disease. AI algorithms have a remarkable
ability to perform well on a variety of tasks that are presented or fed to the system.
Numerous studies have produced machine learning and deep learning-assisted cancer
prediction models to detect cancer from previously accessible data with better accuracy,
sensitivity, and specificity. It has been observed that the accuracy of prediction models
in classifying fed data as benign, malignant, or normal is improved by implementing
efficient image processing techniques and data segmentation augmentation methodologies,
along with advanced algorithms. In this review, recent AI-based models for the diagnosis
of the most prevalent cancers in the breast, lung, brain, and skin have been analysed.
Available AI techniques, data preparation, modeling processes, and performance assessments
have been included in the review.
Anticancer Mechanisms of Berberine: A Good Choice for Glioblastoma
Multiforme Therapy
Authors: Bibak Bahram , Shakeri Farzaneh , Keshavarzi Zakieh , Mollazadeh Hamid , Javid Hossein , Jalili-Nik Mohammad , Sathyapalan Thozhukat , Afshari Amir R. , Sahebkar Amirhossein
Published: February 2022

The most typical malignant brain tumor, glioblastoma multiforme (GBM),
seems to have a grim outcome, despite the intensive multi-modality interventions. Literature
suggests that biologically active phytomolecules may exert anticancer properties by
regulating several signaling pathways. Berberine, an isoquinoline alkaloid, has various
pharmacological applications to combat severe diseases like cancer. Mechanistically, it
inhibits cell proliferation and invasion, suppresses tumor angiogenesis, and induces cell
apoptosis. The antitumoral effect of berberine in GBM is increasingly recognized. This
review sheds new light on the regulatory signaling mechanisms of berberine in various
cancers, proposing its potential role as a therapeutic agent for GBM.
The Current and Evolving Role of Immunotherapy in Metastatic Colorectal
Cancer
Authors: Riechelmann Rachel P. , Silva Virgilio S. , Mello Celso A. , Felismino Tiago , Taboada Rodrigo
Published: February 2022

Immunotherapy can be considered a therapeutic revolution in oncology, with great impact
on many tumor types, such as melanoma and non-small cell lung cancer. However, in metastatic colorectal
cancer, the benefits in terms of prolonged tumor control and high response rate are limited to the
rare subgroup of tumors with high mutation burden - mostly tumors that harbor microsatellite instability
(MSI) or a deficient mismatch repair system (dMMR), or tumor microsatellite stability and damaging
mutations in the exonuclease domains of POLE or POLD. The KEYNOTE-028 uncontrolled phase
II trial demonstrated an impressive antitumor activity of pembrolizumab in patients with treatmentrefractory
Lynch-associated tumors, including colorectal cancer. Nivolumab with or without ipilimumab
confirmed the efficacy of immune checkpoint inhibitors in patients with previously treated
dMMR / MSI metastatic colorectal cancer. The recent KEYNOTE-177 phase III trial demonstrated
that pembrolizumab significantly reduced the relative risk of disease progression or death and improved
progression-free survival in patients with treatment-naive dMMR / MSI metastatic colorectal
cancer in comparison with first-line chemotherapy with or without biologics. Unfortunately, current
pharmacological strategies with immunotherapy have not been successful for most patients with microsatellite
stable metastatic colorectal cancer. In this review, we critically appraise the applicability of
immune checkpoint inhibitors in dMMR/MSI metastatic colorectal cancer. We also discuss the recent
negative trials of immunotherapy combinations in microsatellite stable tumors and more mature immunotherapy
ongoing studies in the field of advanced colorectal cancer.
A Machine Learning Perspective on DNA and RNA G-quadruplexes
Authors: Rossi Fabiana , Paiardini Alessandro
Published: February 2022

G-quadruplexes (G4s) are particular structures found in guanine-rich DNA and RNA sequences that exhibit a wide diversity of three-dimensional conformations and exert key functions in the control of gene expression. G4s are able to interact with numerous small molecules and endogenous proteins, and their dysregulation can lead to a variety of disorders and diseases. Characterization and prediction of G4-forming sequences could elucidate their mechanism of action and could thus represent an important step in the discovery of potential therapeutic drugs. In this perspective, we propose an overview of G4s, discussing the state of the art of methodologies and tools developed to characterize and predict the presence of these structures in genomic sequences. In particular, we report on machine learning (ML) approaches and artificial neural networks (ANNs) that could open new avenues for the accurate analysis of quadruplexes, given their potential to derive informative features by learning from large, high-density datasets.
The Neuropharmacological Effects of Magnolol and Honokiol: A Review
of Signal Pathways and Molecular Mechanisms
Authors: Li Xiaofang , Dai Xiaolin , Xie Long , Liu Kai , Liang Youdan , Cao Yi , Lu Jing , Wang Xian , Zhang Xumin
Published: February 2022

Magnolol and honokiol are natural lignans with good physiological effects. As the main active substances derived from Magnolia officinalis, their pharmacological activities have attracted extensive attention. It is reported that both of them can cross the blood-brain barrier (BBB) and exert neuroprotective effects through a variety of mechanisms. This suggests that these two ingredients can be used as effective therapeutic compounds to treat a wide range of neurological diseases. This article provides a review of the mechanisms involved in the therapeu-tic effects of magnolol and honokiol in combating diseases, such as cerebral ischemia, neuroin-flammation, Alzheimer's disease, and brain tumors, as well as psychiatric disorders, such as anx-iety and depression. Although magnolol and honokiol have the pharmacological effects de-scribed above, their clinical potential remains untapped. More research is needed to improve the bioavailability of magnolol and honokiol and perform experiments to examine the therapeutic potential of magnolol and honokiol.
Signs and symptoms of depression in children and adolescents with type 1 diabetes mellitus
Authors: Herman Herman , Ardani I Gusti Ayu I. , Aryani Luh Nyoman A. , Windiani I Gusti Ayu T. , Adnyana I Gusti Ngurah S. , Setiawati Yunias
Published: February 2022

Depression is a fundamental disorder characterized by changes in mood or affect toward depression with or without anxiety. Depression is a state of mental disorder characterized by three main symptoms and seven additional symptoms. Diabetes Mellitus Type-1 (T1DM) is a systemic disorder caused by impaired glucose metabolism, which is characterized by chronic hyperglycemia. Depression is common in patients with T1DM. In this case report, a 13-year-old girl was consulted because she looks sad. A feeling of sadness has been felt for 3 months and has been getting worse since a week ago, which was initially because of T1DM. Patients usually work at home and carry out daily activities as usual. Currently, the patient has no desire and gets tired easily, especially when doing usual activities, thinking the pain will get worse and thinking that she can't recover. Complaints are felt throughout the day and worsen at night, especially before bed or when alone. The patient feels that she is useless and his future is bleak. During pregnancy, the patient's mother routinely checks with the midwife and gets complete immunizations. The patient was born vaginally and cried spontaneously. The patient also received complete basic immunization.
Türkiye’de İşe Bağlı Fiziksel ve Ruhsal Sağlık Sorunları ve Etkileyen Faktörler
Authors: ÖZDEMİR Mikail , SAVE Dilşad
Published: February 2022

Giriş: Ülkemizde Türkiye İstatistik Kurumu (TUİK) tarafından sonuncusu 2013 yılında yapılan iş kazaları ve işe bağlı sağlık problemleri anketi, sadece prevalans ve demografik dağılımlar şeklinde sunulmaktadır. Çalışmamızda, Türkiye’de istihdam edilenlerin işten kaynaklı veya iş nedeniyle kötüleşen sağlık problemi yaşamasını etkileyen faktörlerin ve işyerindeki yaşanan fiziksel ve ruhsal sağlık sorunlarının saptanması amaçlanmıştır. Yöntem: Türkiye genelini temsil eden kesitsel tipteki araştırmamızda 2013 yılında TUİK anketörleri tarafından yüz-yüze anket yöntemiyle elde edilen İş Kazaları ve İşe Bağlı Sağlık Problemleri konulu anket modülünün ham verileri kullanılmıştır. Araştırmamızın ana bağımlı değişkeni olan işe bağlı sağlık sorunu; kişinin son 12 ay içinde maruz kaldığı her türlü sağlık sorunu, işinden kaynaklandığı veya iş nedeniyle daha da kötüleştiği düşünülüyorsa kapsanmıştır. Araştırmada, işle ilgili yaşanan sağlık sorunları, yetkililer tarafından kabul edilen veya kayıtlanan vakalar ile sınırlı tutulmamıştır, kişinin bu hastalığın işten kaynaklandığını düşünmesi yeterlidir. Bulgular: Çalışanların %2'si, son 12 ayda işe bağlı sağlık sorunu yaşadığını belirtmiştir. En çok rahatsızlık veren sağlık sorunu ise %57,3’lük bir oranla kas iskelet sistemi sorunlarıdır. İşe bağlı sağlık sorunlarını etkileyen faktörler çok değişkenli olarak analiz edildiğinde; yüksek lisans/ fakülte ve üzeri eğitim durumuna göre; hiç okul bitirmeyenler 1,79 kat, ilköğretim mezunları 1,61 kat ve lise mezunları ise 1,51 kat daha yüksek işe bağlı sağlık sorunuyla karşılaşma olasılığına sahip olduğu anlaşılmıştır. Çalışanlarının işyeri ana faaliyeti göz önüne alındığında, ofis vb. az tehlikeli meslek gruplarına göre; inşaat ve elektrik vb. çok tehlikeli meslek gruplarında 1,27 kat (%95 G.A. 1,03-1,58) daha yüksek bulunurken, tarım sektörünün işe bağlı sağlık sorunlarına karşı koruyucu olduğu saptanmıştır. Sonuç: Ülkemizde işe bağlı sağlık sorunlarında risk gruplarına (düşük eğitim seviyesi, boşanan/eşi ölenler ve çok tehlikeli sektörde çalışanlar, uzun saatler çalışanlar) yönelik alınacak tedbirler ve çalışanların fiziksel ve ruhsal sağlığını etkilediklerini düşündükleri (ağır yük taşıma ve zaman baskısı vb.) faktörlerin elimine edilmesi, iş kazalarına bağlı can ve iş gücü kayıplarının önüne geçilmesini sağlayacaktır.
Pendapatan dan Tingkat Kesejahteraan Petani Kelapa Sawit di Kecamatan Jangkang Kabupaten Sanggau
Authors:   Jurusan Sosial Ekonomi Pertanian, Prodi Agribisnis, Fakultas Pertanian, Universitas Tanjung Pura Pontianak, Pratiwi R , Hamid A A , Kurniati Dewi
Published: February 2022

Kesejahteraan adalah penataan hidup kemasyarakatan, materi, ataupun jasmani dan rohani melalui rasa aman, moral dan kedamaian lahir dan batin bagi warga negara dalam membangun bisnis usaha memenuhi keinginan yang semestinya pada diri, rumah tangga maupun masyarakat. Tujuan penelian ini mengetahui besarnya pendapatan tingkat kesejahteraan petani kelapa sawit. Penelitian ini menggunakan metode survey, sedangkan penentuan sampel secara acak sederhana. Sampel penelitian sebanyak 40 responden dari 414 populasi petani kelapa sawit. Teknik pengumpulan data melalui wawancara menggunakan kuesioner. Variabel penelitian yang digunakan yaitu pendapatan petani kelapa sawit bersumber pada pendapatan on farm, pendapatan off farm dan pendapatan non Farm serta pengeluaran rumah tangga bersumber dari pengeluaran pangan dan pengeluaran non pangan. Analisis tingkat kesejahteraan dihitung berdasarkan presentasi pengeluaran konsumsi pangan (Gilarso). Hasil penelitian diperoleh bahwa rata-rata pendapatan sebesar Rp. 101.344,806/tahun, tingkat kesejahteraan berdasarkan analisis pengeluaran konsumsi pangan petani kelapa sawit masuk dalam katagori tingkat kesejahteraan tinggi sebesar 57,5% dan masuk dalam katagori tingkat kesejahteraannya sedang 42,5%.
Japanese Version of the Mobile App Rating Scale (MARS): Development and Validation
Authors: Yamamoto Kazumichi , Ito Masami , Sakata Masatsugu , Koizumi Shiho , Hashisako Mizuho , Sato Masaaki , Stoyanov Stoyan R , Furukawa Toshi A
Published: February 2022

Background

The number of mobile health (mHealth) apps continues to rise each year. Widespread use of the Mobile App Rating Scale (MARS) has allowed objective and multidimensional evaluation of the quality of these apps. However, no Japanese version of MARS has been made available to date.

Objective

The purposes of this study were (1) to develop a Japanese version of MARS and (2) to assess the translated version’s reliability and validity in evaluating mHealth apps.

Methods

To develop the Japanese version of MARS, cross-cultural adaptation was used using a universalist approach. A total of 50 mental health apps were evaluated by 2 independent raters. Internal consistency and interrater reliability were then calculated. Convergent and divergent validity were assessed using multitrait scaling analysis and concurrent validity.

Results

After cross-cultural adaptation, all 23 items from the original MARS were included in the Japanese version. Following translation, back-translation, and review by the author of the original MARS, a Japanese version of MARS was finalized. Internal consistency was acceptable by all subscales of objective and subjective quality (Cronbach α=.78-.89). Interrater reliability was deemed acceptable, with the intraclass correlation coefficient (ICC) ranging from 0.61 to 0.79 for all subscales, except for “functionality,” which had an ICC of 0.40. Convergent/divergent validity and concurrent validity were also considered acceptable. The rate of missing responses was high in several items in the “information” subscale.

Conclusions

A Japanese version of MARS was developed and shown to be reliable and valid to a degree that was comparable to the original MARS. This Japanese version of MARS can be used as a standard to evaluate the quality and credibility of mHealth apps.
Wikipedia provides better quality medical information on male sexual dysfunctions than Baidu Encyclopedia (Preprint)
Authors: Ma Ming , Yin Saifu , Zhu Mengli , Fan Yu , Lin Tao , Song Turun
Published: February 2022

BACKGROUND

Patients who suffered from sexual dysfunctions may be too embarrassed or reluctant to discuss their issues with the doctor. Internet search is gradually becoming the first choice for these people to obtain health information. Wikipedia is the most popular and consulted encyclopedia website in English, so is Baidu Encyclopedia in Chinese. However, no study has evaluated the objectivity and readability of the content on male sexual dysfunction in Wikipedia and the Baidu Encyclopedia.

OBJECTIVE

To assess the reliability, readability, and objectivity of Wikipedia and Baidu Encyclopedia content on male sexual dysfunctions.

METHODS

The Baidu Encyclopedia (in Chinese) and Wikipedia (in English) were investigated. All possible synonymous and derivative keywords for each term were screened. Two doctors evaluated the articles in Baidu Encyclopedia (in Chinese) and Wikipedia (in English), respectively. Intraclass correlation coefficient (ICC) was used to evaluate inter-observer reliability. The Journal of the American Medical Association (JAMA) scoring system, the DISCERN instrument, and the Global Quality Score (GQS) were used to assess the quality of disease-related articles.

RESULTS

As the most common male sexual dysfunctions, erectile dysfunction, premature ejaculation, and their most common complication chronic prostatitis/chronic pelvic pain syndrome were assessed. The ICC results showed good consistency between the two reviewers on GQS scores (ICC=0.871), JAMA scores (ICC=0.910), and DISCERN scores (ICC=0.820). Overall, Wikipedia had a significantly higher DISCERN total score (P=0.0020), DISCERN section 1 score (P<0.0001), and JAMA score (P=0.0011) than those of Baidu Encyclopedia. However, there was no statistical difference between the DISCERN section 2 (P=0.1377), DISCERN section 3 (P=0.1736), and GQS scores (P=0.3082) of these two websites.

CONCLUSIONS

Wikipedia provides more reliable, higher quality, and more objective information than Baidu Encyclopedia, while they have a similar impact on patients' choice of treatment options and that the websites are similar in terms of the flow and ease of use. Joint efforts of physicians, physician associations, medical institutions, and Internet platforms are needed to provide reliable, readable, and objective knowledge about diseases.

CLINICALTRIAL

NA
Examining Structural Disparities of Health Information Technology Use in U.S. Nursing Homes (Preprint)
Authors: L Gregory L. , Liu Jianfang , Powell Kimberly R.
Published: February 2022

BACKGROUND

There are 15,632 nursing homes (NHs) in the United States. NHs continue to receive significant policy attention due to high costs and poor outcomes of care. One strategy for improving these aspects of NH care is use of health information technology (HIT). A central concept of this study is HIT maturity used to establish trends in HIT capabilities, use and integration within resident care, clinical support, and administrative activities. This concept is guided by Nolan’s Stage Theory which postulates that a system moves through a series of measurable stages.

OBJECTIVE

The purpose of this study was to identify structural disparities in NH HIT maturity and see if it is moderated by ownership, location, and bedsize.

METHODS

Nursing Homes (20%) were randomly recruited from each state using Nursing Home Compare data. Investigators used a validated HIT maturity survey with nine subscales and total HIT maturity to establish HIT Maturity stage.

RESULTS

Our sample (n=719) had fewer smaller and larger facilities than nationally. Integrated clinical support technology had the lowest maturity score compared to resident care HIT capabilities. The majority (60.7%) of NHs report stage 3 or lower with limited capabilities to communicate about care delivery outside their facility. Larger NHs in metropolitan areas had higher odds of HIT maturity.

CONCLUSIONS

NH structural disparities were recognized through differences in HIT maturity stage.
Pandangan Media di Indonesia dan di Prancis terhadap Berita Normalisasi Hubungan Israel dan Uni Emirat Arab dalam Studi Analisis Wacana Kritis
Authors: Alfiyaturrohmaniyyah Siti
Published: February 2022

Penelitian ini bertujuan untuk mendeskripsikan pilihan-pilihan tekstual yang dilakukan oleh media di Prancis dan media di Indonesia terhadap teks berita mengenai Normalisasi Hubungan Israel dan Uni Emirat Arab dan mengetahui framing media Prancis dan media Indonesia terhadap teks berita mengenai Normalisasi Hubungan Israel dan Uni Emirat Arab. Metode pengumpulan data dalam penelitian ini adalah observasi. Sumber data diperoleh dari media surat kabar online versi Indonesia dan Prancis, yaitu, Jawa Pos, Kompas Le Figaro, dan Le Monde yang dipublikasikan pada bulan Agustus sampai dengan Oktober 2020. Berita yang diteliti mengenai Normalisasi Hubungan Israel dan Uni Emirat Arab. Metode analisis data yang digunakan dalam penelitian adalah analisis wacana kritis versi Norman Fairclough dan analisis framing versi Pan dan Kosicki. Hasilnya, ditemukan 59 data, yaitu 46 data analisis wacana kritis dan 13 data analisis framing. media di Indonesia dan di Prancis menggunakan metode yang berbeda dalam mengonstruksi wacana mereka, baik pada tataran kalimat tunggal maupun kalimat majemuk. Kemudian representasi media di Indonesia lebih banyak membahas tentang Palestina yang notabene terdampak karena adanya perjanjian hubungan bilateral antara Israel dan Uni Emirat Arab. Sedangkan pandangan media di Prancis fokus pada perjanjian kedua negara tersebut.
Kinerja Algoritme Pengelompokan Fuzzy C-Means pada Segmentasi Citra Leukosit
Authors: Khakim Assidiqi Nur Hudaya  , Budi Sunarko  , Anan Nugroho
Published: February 2022

Segmentasi citra merupakan salah satu tahap paling penting dalam computer-aided diagnosis yang berpotensi mempercepat proses diagnosis leukemia. Leukemia merupakan salah satu penyakit mematikan yang masuk ke dalam kategori kanker darah. Umumnya, pendeteksian leukemia limfoblastik akut (LLA) dilakukan secara manual di rumah sakit dengan cara menghitung secara manual sel leukosit yang terdapat pada citra apusan darah tepi hasil pewarnaan dengan metode immunohistochemical (IHC). Sayangnya, proses diagnosis manual memakan waktu 3−24 jam hingga hasil dapat diketahui dan cenderung tidak akurat karena tingkat kelelahan operator. Hasil yang tidak akurat dapat mengakibatkan kesalahan diagnosis yang berakibat fatal pada pasien. Sebuah metode segmentasi citra yang diusulkan oleh Vogado mampu mencapai akurasi 98,5% untuk menyegmentasi dataset ALL-IDB2. Namun, metode ini menggunakan algoritme pengelompokan k-means yang tidak optimal dalam menangani masukan citra yang memiliki intensitas derau yang tinggi. Dalam makalah ini, fuzzy c-means diterapkan guna mengetahui perubahan kinerja pada metode segmentasi tersebut. Dataset yang digunakan adalah ALL-IDB2 yang berjumlah 260 citra dengan ukuran masing-masing citra adalah 257×257 piksel dalam format tagged image file (TIF). Tahap awal metode ini adalah membagi citra dataset leukemia akut ALL-IDB2 menjadi skema warna cyan, magenta, yellow, key (CMYK) dan L*a*b yang kemudian mensubstraksi komponen M, yaitu dikurangkan dengan komponen *b. Hasil pengurangan tersebut kemudian dipisahkan dengan algoritme fuzzy c-means (FCM), yang kemudian menghasilkan keluaran citra yang hanya mengandung bagian nukleus dan latar belakang. Keluaran metode ini kemudian dievaluasi dan diukur menggunakan metrik accuracy, specificity, sensitivity, kappa index, dice-coefficient, dan time complexity. Hasil analisis menunjukkan bahwa pengubahan algoritme pengelompokan pada metode segmentasi citra tersebut tidak memberikan perubahan hasil yang signifikan, dengan rincian peningkatan terjadi pada metrik specificity dan precision rata-rata 0,1-0,4%, waktu eksekusi bertambah lama rata-rata 23,10%, dan penurunan terjadi pada metrik accuracy, yaitu turun menjadi 95,4238% dan nilai dice-coefficient 79,3682%. Maka, dapat disimpulkan bahwa penerapan algoritme FCM pada metode segmentasi yang diusulkan tidak memberikan peningkatan kinerja yang optimal.
Utilization of Whittaker-Henderson Smoothing Method for Improving Neural Network Forecasting Accuracy
Authors: Hans Pratyaksa  , Adhistya Erna Permanasari  , Silmi Fauziati
Published: February 2022

Health institutions need to ensure the availability of drug stocks for patients. There are challenges related to the uncertainty of the amount of drug use for the next period. Uncertainty can be reduced by analysing historical drug data to predict future demand. Time series can contain spikes or fluctuation pattern which spikes can disguise the main information. Hence, it can affect the accuracy of the prediction model. One widely used forecasting method in the time series data is the artificial neural network (ANN) method. The ANN method requires the pre-processing stage of the data before the training process. The pre-processing stage is essential to obtain information or knowledge. This study focused on applying smoothing methods at the pre-processing stage of the ANN method. The application of the smoothing method was expected to improve the quality of ANN learning data that would lead to better predictive accuracy. This research focuses on implementing the smoothing method in data pre-processing step for ANN method. Smoothing methods used in this research were exponential smoothing (ES) and Whittaker-Henderson (WH) smoothing applied to two time series datasets. The refining method used in this study was the WH method, which was tested on two time series datasets of medicine. The results show that the mean square error (MSE) obtained by applying the WH method was lower than the non-smoothing ANN for both datasets. Evaluation results revealed that implementing WH smoothing method in data pre-processing step for ANN (WH+ANN) provided MSE significantly lower than ANN results with a confidence level of 94% for dataset 1 and 85% for the dataset 2.
Volume Progression and Imaging Classification of Polycystic Liver in Early Autosomal Dominant Polycystic Kidney Disease
Authors: Bae Kyongtae T. , Tao Cheng , Feldman Robert , Yu Alan S.L. , Torres Vicente E. , Perrone Ronald D. , Chapman Arlene B. , Brosnahan Godela , Steinman Theodore I. , Braun William E. , Mrug Michal , Bennett William M. , Harris Peter C. , Srivastava Avantika , Landsittel Douglas P. , Abebe Kaleab Z. ,   the CRISP and HALT PKD Consortium
Published: February 2022

Background and objectives

The progression of polycystic liver disease is not well understood. The purpose of the study is to evaluate the associations of polycystic liver progression with other disease progression variables and classify liver progression on the basis of patient's age, height-adjusted liver cystic volume, and height-adjusted liver volume.

Design, setting, participants, & measurements

Prospective longitudinal magnetic resonance images from 670 patients with early autosomal dominant polycystic kidney disease for up to 14 years of follow-up were evaluated to measure height-adjusted liver cystic volume and height-adjusted liver volume. Among them, 245 patients with liver cyst volume >50 ml at baseline were included in the longitudinal analysis. Linear mixed models on log-transformed height-adjusted liver cystic volume and height-adjusted liver volume were fitted to approximate mean annual rate of change for each outcome. The association of sex, body mass index, genotype, baseline height-adjusted total kidney volume, and Mayo imaging class was assessed. We calculated height-adjusted liver cystic volume ranges for each specific age and divided them into five classes on the basis of annual percentage increase in height-adjusted liver cystic volume.

Results

The mean annual growth rate of height-adjusted liver cystic volume was 12% (95% confidence interval, 11.1% to 13.1%; P<0.001), whereas that for height-adjusted liver volume was 2% (95% confidence interval, 1.9% to 2.6%; P<0.001). Women had higher baseline height-adjusted liver cystic volume than men, but men had higher height-adjusted liver cystic volume growth rate than women by 2% (95% confidence interval, 0.4% to 4.5%; P=0.02). Whereas the height-adjusted liver cystic volume growth rate decreased in women after menopause, no decrease was observed in men at any age. Body mass index, genotype, and baseline height-adjusted total kidney volume were not associated with the growth rate of height-adjusted liver cystic volume or height-adjusted liver volume. According to the height-adjusted liver cystic volume growth rate, patients were classified into five classes (number of women, men in each class): A (24, six); B (44, 13); C (43, 48); D (28, 17); and E (13, nine).

Conclusions

Compared with height-adjusted liver volume, the use of height-adjusted liver cystic volume showed greater separations in volumetric progression of polycystic liver disease. Similar to the Mayo imaging classification for the kidney, the progression of polycystic liver disease may be categorized on the basis of patient’s age and height-adjusted liver cystic volume.
Streptococcal Pharyngitis and Rheumatic Fever
Authors: Sujhithra A. , Jayanthi S. , Chokkalingam M. , Vijay D. Danis , Vidhya R. , Rajaratnam Sanjay Andrew
Published: February 2022

Streptococcus pyogenes (Group A Streptococcus) causes a variety of diseases, from benign self-limiting infections of the skin or throat to lethal infections of soft tissue accompanied by multi-organ failure. GAS is one of significant species among Gram-positive pathogens which is responsible for several suppurative infections and non-suppurative sequelae. They also cause pharyngitis, streptococcal toxic shock syndrome (STSS), necrotizing fasciitis and other diseases. Currently, global burden of RF / RHD is undervalued. In 2010, RF and RHD were estimated as 15.6 million cases and deaths around 200,000 annually. Laboratory diagnosis includes cultural techniques, serology, PYR test, Bacitracin susceptibility test and antibiotic resistance testing helps in differentiating the Streptococcus pyogenes from other groups of Streptococci. Most of the Acute Rheumatic Fever cases gets missed or does not present in the initial stage rather it has been developed into advanced Rheumatic Heart Disease condition. Modified Jones criteria in 2015 will be helpful especially to the low risk population as it is challenging because of limited access to primary health care, diagnosis of streptococcal disease. In addition to this revised criteria, diagnosis still relies on clinical diagnostic algorithm. Vaccines based on M protein and T antigens are continuing to evolve with different results. Ongoing vaccine development is still challenging for the GAS research community, it will make a positive and lasting impact on the peoples globally.
In vitro Antibiosis of Chlorella vulgaris Extract against the Phytopathogen, Stenotrophomonas maltophilia
Authors: Almalki Mohammed A. , Khalifa Ashraf Y.Z. , Alkhamis Yousef A.
Published: February 2022

The aim of the current study was to evaluate the antibacterial activity of Chlorella vulgaris extracts against Stenotrophomonas maltophilia CSK1 isolated from a diseased cucumber fruit. To this end, water, methanol and ethanol were used separately as solvents to extract the active compounds from the dried Chlorella vulgaris. S. maltophilia CSK1 was identified using the 16S rRNA gene sequencing at 99.93% of identity level. The identity of the bacterial strain CSK1 was confirmed by phylogenetic analyses. CSK1 was clearly clustered with the reference strain, S. maltophilia MTCC 434 (JALV01000036). The antibiosis of the extract against S. maltophilia CSK1 was estimated using agar well diffusion method. Unlike water and ethanolic extracts, the methanolic one exhibited an inhibition of CSK1 (zone of inhibition 13.4 mm), indicating the antimicrobial activity of this extract. No zone of inhibition was formed around ethanolic and water extracts, indicating that both exhibited no-observed effect against the growth of CSK1. This can be attributed to the active constituents in the extract which may varies based on various factors including the polarity of solvent used in the extraction process. The inhibitory effect of the methanolic extract against the S. maltophilia CSK1 obtained from the diseased cucumber fruit could open the door for potential application of such active ingredient within this extract against this bacteria in future.
GIS-Based Review for Monitoring the Spatial Distribution of Covid-19: A Case Study of Haryana
Authors: Kumar Surender , Veer  , Singh Ripudaman
Published: February 2022

Abstract: Worldwide COVID-19 cases were noticed from its first variant to new variant very fast which is becoming threatening to human health, social function, production and supply of goods, and international relations. In Haryana, cases are increasing rapidly. GIS techniques contribute to controlling the epidemic by mapping of visualizing epidemic data, spatial visualization of protected and risk zones, spatial tracking of spreading, and route networking to fulfill demanded supply. These types of big spatial data can support taking decisions, formulating measurements, and effectiveness to control and prevent COVID-19. In the study area, total cases, daily reported cases, active cases, recovered cases, and fatalities were mapped. Based on daily reported cases, a high to less affected zone map was prepared by using the IDW technique. Results showed that the NCR region was highly affected and the rest of the part was less affected. Mapping of spreading epidemics on spatial distribution and variability of corona can provide the most useful insights to the authorities for decision making. Keywords: COVID-19, GIS, Spatial Distribution, IDW, Haryana
GIS-Based Review for Monitoring the Spatial Distribution of Covid-19: A Case Study of Haryana
Authors: Kumar Surender , Veer Vikas , Singh Ripudaman
Published: February 2022

Abstract: Worldwide COVID-19 cases were noticed from its first variant to new variant very fast which is becoming threatening to human health, social function, production and supply of goods, and international relations. In Haryana, cases are increasing rapidly. GIS techniques contribute to controlling the epidemic by mapping of visualizing epidemic data, spatial visualization of protected and risk zones, spatial tracking of spreading, and route networking to fulfill demanded supply. These types of big spatial data can support taking decisions, formulating measurements, and effectiveness to control and prevent COVID-19. In the study area, total cases, daily reported cases, active cases, recovered cases, and fatalities were mapped. Based on daily reported cases, a high to less affected zone map was prepared by using the IDW technique. Results showed that the NCR region was highly affected and the rest of the part was less affected. Mapping of spreading epidemics on spatial distribution and variability of corona can provide the most useful insights to the authorities for decision making. Keywords: COVID-19, GIS, Spatial Distribution, IDW, Haryana
Methodology for managing the flows of target information in the remote sensing space system. Part 3. Application results
Authors: Starkova Alexander V. , Emelianov Andrey A. , Grishantseva Lyubov A. , Zhukovskaya Ksenia I. , Morozov Alexander A. , Trishin Alexey A.
Published: February 2022

The article focuses on the practical implementation of the proposed methodology for managing target information flows in the Earth remote sensing (ERS) space system. Proposed is the description of architecture and order of application of software-mathematical models of the complex, which implements the previously presented model of the arrangement of target information flows and provides the possibility of determining composition and characteristics of the system, that includes satellite, ground receiving complexes and communication channels there between, generation of scenarios of operation with ERS data, generation of input information flows, calculation of the distribution of target information from various types of ERS satellite by components of the ERS space system, visualization of calculation results and preservation of the obtained results. This makes it possible to optimize the distribution of information processing processes according to customer requests, using both scalar and vector criteria, automate the formation of a plan for the distribution of customer requests processing among system nodes, assess the current state of infrastructure in terms of the capabilities of processing customer requests and identify possible problems in the future.
The methodology of using multicriteria analysis methods choosing the optimal architecture of the GLONASS space segment
Authors: Shmigirilov Sergei Yu.
Published: February 2022

The project presents a methodology for choosing the optimal architecture using, as an example, global navigation satellite system, namely its space segment. Several architectures of the GLONASS system were taken as an example for testing the methodology. The usage of traditional methods of multi-criteria analysis in this case is too way difficult due to the presence of a large number of particular navigation tasks, that often put forward contradictory and uncertain requirements for their resolution, the presence of a large number of private criteria, the need to involve a large number of decision makers (DM), and as a consequence, a conflict of interests, difficulty in setting weights, determining preferences, etc. The confident judgment method was used to implement the task. The system of private criteria was structured, taking into account the requirements of specific narrow segments, and their preferences were formed. After that, tables were built for each structure, according to the required number of criteria and for three different particular tasks, as well as to normalize and collapse the criteria for each task into one criterion. Then a set of Pareto-rational solutions and a rating of alternatives were formed. The final appearance of the system satisfied the requirements imposed by the consumer segment. Keyword
Feminist Foreign Policy and Gender Justice on the International Agenda
Authors: Abbasov Huseyn A.
Published: February 2022

The global political elite has developed a pragmatic approach to addressing gender justice issues based on rationality and patriarchy, which hinders the activities of women. There is an urgent need to develop and implement the most efficient, inclusive and emancipatory practices in the light of experience. This article reveals an understanding of the content and meaning of feminist foreign policy in the context of official international content. It assesses the impact of UNSCR 1325 on the development of feminist foreign policy and gender justice. The author concludes that certain fundamental limitations of the document prevent the achievement of real goals lobbied by international organizations and feminist scientists, as well as the deconstruction of gender mainstreamin.