bluuebunny/crossref_metadata_2025 huggingface dataset:
COVID-19 Enforced Shift to Distance Education: Readiness and Challenges
Authors: Alshaboul Yousef , Hamaidi Diala , Arouri Yousef , Alshaboul Asia
Published: September 2021

The COVID-19 pandemic has forced a worldwide revolution in our understanding of how to conduct education. International lockdowns were the catalyst for a global shift from traditional face-to-face learning to distance learning. This comparative study utilized a mixed method approach to investigate the readiness of Higher Education instructors and students and the challenges arising from the shift to distance education in two different Arab countries, Qatar and Jordan. Generally, the findings gleaned from the questionnaires (230 instructors and 551 students) revealed certain inconsistencies with the findings that emerged from the interviews (18 instructors and 38 students) in terms of both the level of readiness and the challenges faced. The results showed a substantial variation in instructors and students’ readiness at both participating universities. While factors like country, age, gender, specialization, years of experience/year in the program, and the number of online training courses prior to the COVID-19 epidemic proved to cause statistically insignificant differences in instructors and students’ readiness, variables including age, gender and prior experience in online courses were relatively influential for students in terms of the challenges they faced.
Komorbiditas Pasien Demensia di RSUD Dr. Soetomo Periode Januari–Desember 2017
Authors: Imami Nabilah Hasna , Haryono Yudha , Sensusiati Anggraini Dwi , Hamdan Muhammad , Hidayati Hanik Badriyah
Published: September 2021

Pendahuluan: Demensia merupakan proses hilangnya fungsi kognitif seperti berpikir, mengingat, dan bernalar sehingga penderita demensia terganggu dalam melakukan kehidupan dan aktivitas sehari-hari pada seseorang. WHO menyebutkan bahwa jumlah pasien demensia di dunia terus meningkat. Pada tahun 2015, pasien demensia diprediksi mencapai 47,47 juta pasien dan dapat mencapai 75,63 juta pada 2030. Semakin meningkat usia lansia, faktor komorbiditas yang menyerang lansia juga semakin meningkat. Faktor komorbiditas dapat berupa penyakit kronik seperti stroke, hipertensi, DM, juga penyakit jantung. Tujuan: Untuk mengetahui prevalensi komorbiditas pada pasien lansia demensia di RSUD Dr. Soetomo Surabaya. Metode: Data diambil dari rekam medis pasien pada periode Januari hingga Desember 2017 di RSUD Dr. Soetomo Surabaya berdasarkan kriteria inklusi dan eksklusi yang telah ditetapkan. Hasil: Faktor komorbiditas yang paling banyak terjadi pada pasien demensia adalah stroke (57,3%), diikuti oleh hipertensi (50,6%), DM (30,3%), penyakit Parkinson (24,7%), dan penyakit Jantung (19,1%). Kesimpulan: Stroke merupakan komorbiditas paling banyak terjadi pada pasien dengan demensia. Hipertensi berada di tempat kedua paling banyak diderita lansia demensia. Pengendalian komorbiditas pada lansia sangat penting untuk dilaksanakan untuk mengendalikan risiko terjadinya penurunan fungsi kognitif.
Luhmann és a PTC logikai ötvözete : Egy származtatott fogalmi keretrendszer alkalmazhatósága a gyermekvédelemre
Authors: Major Zsolt Balázs
Published: September 2021

A cikk Luhmann Rendszerelmélete és a Horányi féle kommunikáció mint participáció (Participation Theory of Communication – „PTC”) elmélet logikai hasonlóságait tárgyalja. Megvizsgálja a két elmélet bizonyos fogalmai párhuzamba állíthatóságát. Az így kirajzolódó fogalmi struktúrát önálló keretmodellnek tekinti. Az ötvözés validálásaként gondolatkísérletet tesz az ötvözött fogalom-rendszer implementálására a gyermekvédelem területére. Az implementálhatóság vizsgálatakor kritikai reflexióval tárgyalja az eredeti elméletek gyakorlati alkalmazására irányuló hasonló kísérleteket. A gondolatkísérlet eredményeként szociális alrendszerként definiálja a gyermekvédelmet. A fogalmi keretmodell alkalmazhatóságának alátámasztása érdekében a gyermekvédelmi gyakorlat ágenseit rendszerként határozza meg, és kölcsönhatásaik dinamikai leírására a származtatott fogalmakat alkalmazza.
Climate change in a typical Apulian region for table grape production: spatialisation of bioclimatic indices, classification and Future Scenarios
Authors: Alba Vittorio , Gentilesco Giovanni , Tarricone Luigi
Published: September 2021

The present research focused on the characterisation of climate evolution in a typical Apulian region for table grape production under the protected geographical indication, “Uva di Puglia I.G.P.”Two thirty-year time window period (TW) were analysed: 1961-1990 and 1991-2020. Georeferenced maps for both TWs were produced to delimit homogeneous zones and to evaluate the climate variability within the investigated area by means of the two bioclimatic indices, Heliothermal Index (HI) and Winkler Index (WI). Spatial analysis of HI and WI was performed using the regression-kriging (RK) interpolation method and the Digital Elevation Model/DEM (10 x 10 m) as a prediction attribute.An increase in both the minimum and maximum temperatures was observed, and locations above 300 m a.s.l. shifted from HI+1 “temperate warm” to HI+2 “warm” according to the Geoviticulture Multicriteria Climatic Classification System. WI values similarly increased between the periods 1961–1990 and 1991–2020, shifting all the sites grouped in the Elevation Classes defined as being below 300 m a.s.l. from Region IV to Region V of the Winkler Classification.According to HI and WI, presumed maturity was calculated as being reached 9 to 15 (HI) and 12 to 28 days (WI) earlier in 1991–2020 than in 1961–1990, taking into account the heat requirements of cv. Italia table grape (representative of Apulian table grape production), were set at 2200 for both indices on the basis of literature data.Moreover, three table grape vineyards, located in the three main producing provinces of Apulia (Bari, Taranto and Barletta-Andria-Trani (BAT)), were considered for future scenarios analysis on the basis of two different Representative Concentration Pathways (RCPs), 4.5 and 8.5, and classified according to the Geoviticulture Multicriteria Climatic Classification System (MCC). Future scenarios scored WI values that exceeded the threshold of 2700 in the BAT and TA provinces in the 2061–2090 time window period for RCP 8.5. In contrast, RCP 4.5 led to a mitigating effect, which was not noticeable until 2040, with a consequent reclassification of the investigated areas on the basis of HI and Cool Night Index (CI).These findings suggest that in order to prevent or overcome heat stress, it will be necessary to implement strategies, such as vineyard relocation to unexplored elevations or latitudes and/or the exploitation of new table grape varieties able to fulfill the optimal maturity parameters, even when the duration of the phenological phases is shorter.
High Infection to SARS-CoV-2 in an Indigen Community of the Colombian Amazon Region
Authors: Serrano-Coll Héctor , Miller Hollman , Rodríguez-Van der hamen Camila , gastelbondo Bertha , Novoa Wilkhen , Oviedo Misael , Rivero Ricardo , Garay Evelin , Mattar Salim
Published: September 2021

Introduction. COVID-19 is a pathology caused by the SARS-CoV2 virus. The World Health Organization has reported more than 94 million cases and two million deaths worldwide. Objective: To describe the seroprevalence, spatial distribution, and clinical and sociodemographic variables of SARS-CoV2 in a community of the Colombian Amazon region. Methods. In December 2020, a cross-sectional observational study was carried out in a population located in the Colombian Amazon in the municipality of Mitú. Sociodemographic and clinical data were taken. Besides, 590 blood samples were taken, and an antibody detection was carried out with an ELISA and a recombinant protein N antigen of SARS-CoV2. Results. A seroprevalence of 57.6% was observed. The highest proportion of the infection is located in inter-municipal transport zones. The bivariate analysis did not show differences in the SARS-CoV2 infection rate concerning the variables sex, age-range, and the presence of comorbidities (P> 0.05). The bivariate and multivariate analysis showed that being symptomatic and presenting neurological manifestations of the upper respiratory tract are clinical variables associated with SARS-CoV2 infection (P <0.05). One of the causes of this virus's high spread in this community could be that 53.3% of the people were asymptomatic. Conclusions. Our data showed a high burden and transmission of SARS-CoV-2 in this indigenous community. This could be linked to cultural behaviors and the high infection rate in asymptomatic patients.
Military service suitability among young men
Authors:   I.M.Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russian Federation, Sevostyanov V.K. ,   Research Institute of Health Care Organization and Medical Management; Moscow Healthcare Department, Moscow, Russian Federation, Makhmudova S.N. ,   I.M.Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russian Federation, Bikmaeva A.Z. ,   I.M.Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russian Federation, Balashov S.L. ,   I.M.Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russian Federation, Ryabtseva A.I. ,   I.M.Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russian Federation
Published: September 2021

Objective. To analyze main chronic diseases in 16-year-old boys and assess their significance in terms of military service. Materials and methods. In this observational cohort study, we analyzed medical records of 315 young men residing in Moscow. We used forms No 025/u ‘Medical outpatient card,’ and No. 112/u ‘Information on child development’ and their digital analogues (Unified Medical Information and Analytical System of Moscow). To identify dynamic changes in the structure of morbidity, we used the results of medical examinations of young men from the Central Military District (n = 239) for 2015, provided by the Ministry of Defense of the Russian Federation. Data analysis was performed using the Statstica 6.0 software; we used the methods of descriptive statistics and Z-test. Differences were considered significant at р < 0.05. Results. More than one-third of participants (34.3%) were suitable for military service (Category A); 33% had minor limitations/were temporarily unsuitable for military service (Category B); 21% of young men had limited suitability for military service/were temporarily unsuitable for military service (Category C); 3.2% of participants were temporarily unsuitable for military service; 8.5% of participants were absolutely unsuitable for military service. Over 5 years, the structure of morbidity among young men of pre-conscription and military age has changed significantly: the number of patients with the most common pathologies making men unsuitable for military service (diseases of the musculoskeletal system and diseases of the eye and adnexa) has increased dramatically (a 3-fold and 7-fold increase, respectively). Conclusion. The simple information and analytical model proposed in this study allows the assessment of the dynamics of defense potential formation in the Russian Federation, as well as the evaluation of the effectiveness of pediatric care. Our findings suggest that it is necessary to perform a more thorough, early, timely examination of adolescents, correct their lifestyle, control the implementation of medical measures, increase the coverage of healthcare services for male children and adolescents. Keywords: military service, morbidity among adolescents, categories of suitability, medical examination.
Bioindication of the water salinity dynamics by the microalgae communities in the Lena River Delta, Laptev Sea, Russian Arctic
Authors: Barinova S. S. , Gabyshev V. A. , Ivanova A. P. , Gabysheva O. I.
Published: September 2021

The Lena River in the Laptev Sea forms a vast delta, one of the largest in the world. The Ust-Lensky State Nature Reserve saves biodiversity on the Lena Delta territory beyond the Arctic Circle, in the zone of continuous permafrost. In recent years, large-scale plans for the development of extractive industries are implemented in this Russian Arctic sector. In this regard, the study of biodiversity and bioindication properties of aquatic organisms in the Lena River estuary area is becoming more and more relevant. This study aims to identify the species composition of microalgae in lotic and lentic water bodies of the Lena River Delta and use their indicator property for water salinity. It was a trace indicator of species distribution over the delta and their dynamics along the delta main watercourses to assess the impact of river waters on the Laptev Sea coastal areas. For this, all previously published materials on algae and chemical composition of the region waters as well as data obtained in recent years for the waters of the lower Lena reach were involved. In total, 700 species considered to 10 phyla were analyzed: Cyanobacteria (83), Euglenozoa (13), Ochrophyta (Chrysophyta, Xanthophyta) (41), Eustigmatophyta (4), Bacillariophyta (297), Miozoa (20), Cryptophyta (3), Rhodophyta (1), Chlorophyta (125), and Charophyta (111). The available materials of the field and reference observations were analyzed using several statistical methods. The study results indicate that hydrological conditions are the main factor regulating the spatial structure of the species composition of the microalgae communities in the Lena River Delta. The distribution of groups of salinity indicators across flowing water bodies reflects the effect of water salinity, and this allows suggesting possible sources of this effect. The mechanism of tracking the distribution of environmental indicators itself is a sensitive method, that reveals even their subtle changes in them; therefore, as an integral method, it can be helpful for further monitoring.
On the maximum length for Sardinella aurita (Osteichthyes: Clupeidae) from the Mediterranean Sea
Authors: Bensahla-Talet L. , Bensahla-Talet A.
Published: September 2021

Two specimens of round sardinella, Sardinella aurita Valenciennes, 1847, with a total length of 39.1 and 36.6 cm and a weight of 359.01 and 293.48 g, respectively, were caught by a purse seine net in Bouzedjar Bay, Algeria, on 8 August, 2019. These sizes of both specimens are the maximum recorded for this species in the Mediterranean Sea.
On Generalized Φ- Recurrent of Kenmotsu Type Manifolds
Authors: Abood Habeeb M. , Abass Mohammed Y.
Published: September 2021

The present paper studies the generalized Φ-  recurrent of Kenmotsu type manifolds. This is done to determine the components of the covariant derivative of the Riemannian curvature tensor. Moreover, the conditions which make Kenmotsu type manifolds to be locally symmetric or generalized Φ- recurrent have been established. It is also concluded that the locally symmetric of Kenmotsu type manifolds are generalized recurrent under suitable condition and vice versa. Furthermore, the study establishes the relationship between the Einstein manifolds and locally symmetric of Kenmotsu type manifolds.
Early Definitive Internal Fixation for Infected Nonunion of The Lower Limb
Authors: Yoon Yong-Cheol , Oh Chang-Wug , Cho Jae-Woo , Oh Jong-Keon
Published: September 2021

Background

Management of an infected nonunion of the long bones is quite difficult and challenging. A staged procedure comprising of radical debridement followed by definitive internal fixation is favored. However, no standard treatment has been established for determining the appropriate waiting period between the initial debridement and the definitive internal fixation. We proposed a management incorporating early definitive internal fixation for infected nonunion of the lower limb.
Methods

Thirty-four patients (28 men and six women; mean age, 46.1 years; range, 25–74 years) with infected nonunion of the tibia or femur were included. Initial infected bone resection and radical debridement were performed for each patient in accordance with the preoperative plans. Definitive surgery was performed 2–3 weeks after the resection (4 weeks after flap surgery was required), and the third surgery was performed to fill the bone defect through bone grafting or transport (three-stage surgery). In cases of unplanned additional surgery, the reason for the requirement was analyzed, and radiological and functional results were investigated in accordance with the Association for the Study and Application of the Method of Ilizarov criteria.
Results

Bone union was achieved in 100% of the patients, and treatment was conducted as planned preoperatively in 28 patients (28/34, 82.4%). The mean interval between the primary debridement and the secondary definitive fixation was 2.76 weeks (range, 2–4 weeks). Six unplanned additional surgeries were performed, and the infection relapsed in two cases. The radiological and functional outcomes were good or better in 32 and 31 cases, respectively.
Conclusions

Early definitive surgery can be performed to treat infected nonunion by thorough planning and implementation of radical resection, active response to infection, restoring defected bones, and soft tissue healing through a systemic approach.
Fog-Cloud Computing Traffic Model Affecting the Occurrence of Latency on the Ubiquitous Sensor Network
Authors: Sangmek Chonnikan , Boonnam Nathaphon
Published: September 2021

The fog-cloud computing traffic model overviews working elements in forming fog-cloud computing with three main layers: Ubiquitous Sensor Networks, Fog Computing, and Cloud Computing. We present a possible method of data transmission that focuses on either measuring or manipulating or both in the system divided into 7 USNs and using latency measurement to demonstrate transmission efficiency. This paper considers the latency test into four prominent cases: internet connection, traffic model, number of devices, and packet by equipment used for testing consisting of microcontroller board, sensor, actuator, and uses fog node two types: pocket Wi-Fi and router. In the latency test, we found that the factor causing the higher latency in the system was the packet size. The main factor consists of the different characteristics of working, fog nodes, and the number of connected devices. Therefore, the packet has correlated directly with the latency depending on the size of the packet increases. The resulting latency is the main factor affecting the work of the system.
Lithium Decorated Borane Clusters (BnHnLi6, n=5-7) as Promising Materials for Hydrogen Storage: A Computational Study
Authors: Ray Shakti S , Sahu Sridhar
Published: September 2021

In this study, we have investigated the hydrogen adsorption potential of lithium decorated borane clusters (BnHnLi6, n = 5–7) using density functional theory calculations. The principle of maximum hardness and minimum electrophilicity confirmed the stability of the hydrogen adsorbed complexes. The outcomes of the study reveals that, the hydrogen molecules are adsorbed in a quasi-molecular fashion via Niu-Rao-Jena type of interaction with average adsorption energy falling in the range of 0.10-0.11eV/H2and average Li-H2 bond length is in the range of 2.436–2.550Å. It was found that the hydrogen molecules are physiosorbed at the host clusters at low temperature range 0K- 77K with gravimetric density up to 26.4 wt% which was well above target set by U.S. Department of Energy (US-DOE). ADMP-MD simulations showed that almost all the H2 molecules are desorbed at higher temperature form 373K-473K without distorting the host clusters which indicates the studied clusters can be promoted as promising reversible hydrogen storage
In Silico Prediction of Inhibitory Potential of a Punicalagin β-anomer Against SARS-COV-2 Main Protease (Mpro)
Authors: Monteiro Norberto , Monteiro Vitória , Lima Lorena , Karolline Anna , Machado Richele
Published: September 2021

The pandemic caused by the new coronavirus has resulted in a global health emergency and has prompted an urgent need for new treatment strategies. No target-specific drugs are currently available for SARS-CoV-2, but new drug candidates targeting the viral replication cycle are being explored. A prime target of drug-discovery efforts is the SARS-CoV-2 main protease (Mpro). In this work, we identified a potential inhibitor for SARS-CoV-2 main protease using in silico methodologies. Molecular docking and molecular dynamics studies were carried out to ascertain the inhibitory action of α and β anomers of Punicalagin from fruit peel of Punica granatum against the Mpro protease. The molecular dynamics results revealed that the β-anomeric configuration of punicalagin allowed access to more hydrogen bonds and hydrophobic interaction leading to higher selectivity and specificity of β-anomer than α-anomer. Therefore, the β-anomer of Punicalagin could act as potential inhibitor against the main protease of SARS-CoV-2 and may act as a potential drug candidate.
Stromal-Vascular Fraction and Adipose-Derived Stem Cell Therapies Improve Cartilage Regeneration in Osteoarthritis-Induced Rats
Authors: Yang Wan-Ting , Ke Chun-Yen , Yeh Kuang-Ting , Huang Shyh-Geng , Lin Zi-Yang , Wu Wen-Tien , Lee Ru-Ping
Published: September 2021

This study aimed to evaluated the effects of the stromal vascular fraction (SVF) and adipose-derived stem cells (ADSCs) on cartilage injury in an osteoarthritis (OA) rat model. Sodium iodoacetate (3mg/50µL) was used to induce OA in the left knee joint of rats. On day 14 after OA induction, 50µL of SVF(5×106cells), ADSCs(1×106cells), or 0.9% normal saline (NS) was injected into the left knee-joint cavity of each group. The macroscopic view and histological sections revealed that the articular cartilage in the NS group were damaged, inflamed, uneven and thin, and had hyperchromatic cell infiltration. Notably, the cartilage surface had recovered to nearly normal and appeared smooth and bright on day 14 in the SVF and ADSC groups. Additionally, the white blood cell counts in the SVF and ADSC groups were higher than those in the NS group on day 14. Plasma IL-1β levels on days 7 and 14 were reduced in the SVF and ADSC groups. These results indicated that both SVF and ADSC treatments may assist in articular cartilage regeneration after cartilage injury. Cell therapy may benefit patients with OA. However, clinical trials with humans are required before the application of SVF and ADSC treatments in patients with OA.
Growth Hormone-like Activities of Organophosphorus Flame Retardants (OPFRs) in growth of Rice (Oryza sativa L.)
Authors: Bai Qian , Wang Haiou , Zhang Wenxiao , Jiang Bokai , Ma Yuqing , Li Yuetong , Shi Hanbo
Published: September 2021

To identify the toxic effect of Organophosphorus Flame Retardants (OPFRs) on plants, six different OPFRs involved in three concentrations (50 µg/L, 100 µg/L and 200 µg/L) were selected to estimate their toxicity to rice growth. The seed germination, seedling growth, OPFRs accumulation and antioxidative defense system were investigated in rice. The results showed that all of OPFRs inhibited the germination of seeds. OPFRs were accumulated in roots and shoots, and the accumulations of OPFRs in roots were higher than in shoots. However, the hormone-like effect of all six OPFRs was found on plants. The growth of seedlings was irrigated by 50 µg/L, 100 µg/L and 200 µg/L OPFRs in our experiment according to fresh weights and lengths of seedlings. And then malondialdehyde (MDA) and antioxidative defense system were impressed after OPFRs exposed 21 d. According to gene expressions of seven antioxidative enzymes at 14 d, most of enzyme expressions were updated to alleviated reactive oxygen species (ROS) by OPFRs exposure. Tris (1, 3-dichloro-2-propyl) phosphate (TDCPP) showed the strongest oxidative toxicity to plants among all of OPFRs. During the early 14 d period, the antioxidant enzymes could play important role in detoxification process. And after 21 d, antioxidants ascorbate (AsA) in roots and glutathione (GSH) in shoots could take over antioxidant enzymes against to OPFRs toxicity.
Minimization of Hesitant L-Fuzzy Automaton
Authors: Shamsizadeh Marzieh , Zahedi Mohammad Mehdi , Goki Mohamad Javad Agheli
Published: September 2021

In this paper, we study a new generalization for the notion of fuzzy automata, which we called hesitant L-fuzzy automaton (HLFA). We present the formulations of the mathematics framework for the theory of HLFA.
Moreover, we present the concepts of hesitant L-fuzzy behavior and inverse hesitant L-fuzzy behavior recognized by a type of HLFA. After that, for any hesitant L-fuzzy language we present a minimal complete accessible
deterministic hesitant L-fuzzy automaton recognizing that. Finally, we present an algorithm, which determines states of the minimal hesitant L-fuzzy automaton and we present the time complexity of the algorithm.
Pharmacoinformatics Analysis Reveal Flavonoids and Diterpenoids from Andrographis Paniculata and Thespesia Populnea as Potential Modulators of Hepatitis B Virus Induced Hepatocellular Carcinoma
Authors: Patil Vishal S. , Harish Darasaguppe R. , Vetrivel Umashankar , Roy Subarna , Deshpande Sanjay , Jalalpure Sunil S. , Hegde Harsha V.
Published: September 2021

Herbs are widely utilized in the Western Ghats region of India to treat liver diseases and viral infections. However, such practices lack scientific evidence at the molecular level and may often pose adverse drug reactions. Thus, by this study we intend to identify phytocompounds having druggability and non-toxic profiles with potential activity against HBV-induced HCC. To startwith, the details of phytocompounds in traditionally utilized herbs in Western Ghats region were collated from chemical databases and publications. The druggability and toxicity of these compounds were predicted using MolSoft and ADVERpred, respectively. The probable targets of these phytocompounds were predicted using BindingDB. Moreover, compound-gene set pathways, cellular processes, and functional enrichment analysis were also performed using STRING and KEGG pathway databases. Subsequently, Herb-compound-target-disease pathway networks were constructed using Cytoscape 3.6.1. The potential hub protein was virtually screened against ligand dataset using POAP pipeline. Finally, molecular dynamics (MD) simulations of the most potential protein-ligand complexes were performed in triplicate using Desmond 6.1v. Amongst 274 compounds from 16 herbs studied, 36 showed drug likeness with nontoxic properties, and were also predicted to modulate 16 potential targets involved in the pathogenesis of HBV-induced HCC. Among all the molecules screened, flavonoids and diterpenoids from Andrographis paniculata and Thespesia populnea scored the highest edge count via modulating multiple targets and pathways. Moreover, molecular docking and MD simulation (100ns) also inferred that the top ranking Andrographin and Gossypetin to exhibit stable intermolecular interactions with EGFR protein, which was identified as highly connected hub protein in the constructed network. All these findings are suggestive of these moieties as potential therapeutics for targeting HBV-associated HCC sans adverse drug reactions.
Acute Coronary Syndrome and Myocardial Infarction With Non-obstructive Coronary Arteries (MINOCA) in Patients With Hypertrophic Cardiomyopathy
Authors: Trongtorsak Angkawipa , Wanlapakorn Chaisiri , Songsirisuk Nattakorn , Ariyachaipanich Aekarach , Boonyaratavej Smonporn , Puwanant Sarinya
Published: September 2021

Objectives: Our study aimed to determine the prevalence and prognosis of acute coronary syndrome with non-obstructive coronary artery (ACS-NOCA) in patients with hypertrophic cardiomyopathy (HCM).Methods and Results: The study used a prospective research design enrolling a total of 200 consecutive patients with HCM over a 139-month period from 2002 to 2013. The study found that 28 patients (14% of overall patients, 51% of patients with ACS) had ACS-NOCA, and 18 patients (9% of overall patients, 86% of patients with acute MI) had MINOCA as initial clinical presentations. The highest prevalence of non-obstructive coronary artery disease (NOCA) in patients with HCM was found in acute ST-elevation myocardial infarction (STEMI) (100%), followed by non-STEMI (82%), and unstable angina (29%). Patients with ACS-NOCA had more frequent ventricular tachycardia and lower resting left ventricular (LV) outflow tract gradients than those with no ACS-NOCA (p<0.05 for all). The ACS-NOCA group had a lower probability of HCM-related death compared with the no ACS-NOCA group and the significant coronary artery disease (CAD) group (p-log-rank = 0.0018). Conclusions: MINOCA or ACS-NOCA is not an uncommon initial presentation (prevalence rate 9-14%) in patients with HCM. NOCA was highly prevalent (51-86%) in patients with HCM presenting with ACS and had a favorable prognosis. Our findings highlight as a reminder that in an era of rapid reperfusion therapy, ACS in patients with HCM is not only a result of obstructive epicardial CAD, but also stems from the complex cellular mechanisms of myocardial necrosis.
Photonic Crystal Fiber Sensor for the Detection of Different Hazardous Gases
Authors: Caroline B.Elizabeth , Nizar Mohamed , Krishnan Prabu
Published: September 2021

Three different Photonic Crystal Fiber (PCF) gas sensors are designed to detect five different gases for a wide range of wavelengths. The three unique configurations are designed based on four outer Elliptical cores PCF (4E-PCF), four outer Circular cores (4C-PCF) PCF, and different Eight Elliptical cores PCF (8E-PCF) to analyze and sense the light interface with applied gases. For three proposed gas sensors, the sensing parameters for five different hazardous gases, such as relative sensitivity, effective area, birefringence and dispersion, are acquired. The five different gases considered for the sensor investigation are Sulfur trioxide [SO3] (20oC), Tetracholorosilane [SiCl4], Tetracholoromethane [CCl4], Turpentine [C10H16], Tin Terra chloride [SnCl4]. Among the three designs, 8E-PCF yields a maximum sensitivity of 75.75%, an effective area of 2.45µm2, and a birefringence of 0.0421 for SnCl4 gas.
Artificial Neural Network Modeling To Predict And Optimize Phenolic Acids Production From Callus Culture of Lactuca Undulata
Authors: Ramezannejad Rezvan , Bojnoordi Morteza Mofid , Armin Mohammad , Aghdasi Mahnaz
Published: September 2021

The present study aims to model and optimize phenolic acids productions from Lactuca undulate root and leaf-derived callus using the feed-forward Artificial Neural Network (ANN) model. For this purpose, the effect of different concentrations (0, 0.1, 0.5, 1, and 2 mg/l) of Kin in combinations with or without 2,4-D and/or NAA was investigated on callus induction and phenolic acids production. A multi-layer perceptron ANN was applied to correlate the output parameters (cichoric acid, chlorogenic acid and caffeic acid contents) to input (Kin, 2,4-D and NAA) training parameters. A single hidden layer with 5, 10, 15, 20, 25, 30, 35 and 40 neurons was used to optimize ANN architecture. Sum squared error (SSE), Relative Error (RE) and correlation factor (R2) were applied to identify the performance of ANN models. According to the obtained data, the feed-forward neural network with tangent-sigmoid (3-30-1), tangent-tangent (3-15-1) and tangent-tangent (3-35-1) activation function was found as the best model to predict cichoric acid, chlorogenic acid and caffeic acid production from leaf-derived callus, respectively. Meanwhile, ANN with activation function of tangent-tangent (3-20-1), tangent-tangent (3-25-1) and sigmoid-sigmoid (3-20-1) were the most effective models to predict the amount of cichoric acid, chlorogenic acid and caffeic acid from root-derived callus, respectively. In the current study, there was a strong correlation between experimental and predicted data. These results demonstrated that the selected ANN model could predict the effects of plant growth regulators on phenolic acids production using callus culture method.
Treatment-Resistant Depression and Major Depression With Suicide Risk – The Cost of Illness and Burden of Disease
Authors: Sousa Rute Dinis , Gouveia Miguel , Nunes-da-Silva Catarina , Rodrigues Ana , Cardoso Graça , Antunes Ana , Canhão Helena , Almeida José Miguel Caldas
Published: September 2021

Introduction: Treatment-Resistant Depression (TRD) and Major Depression with Suicide Risk (MDSR) are types of depression with relevant effects on the health of the population and a potentially significant economic impact. This study estimates the burden of disease and the costs of illness attributed to Treatment-Resistant Depression and Major Depression with Suicide Risk in Portugal.Methods: The disease burden for adults was quantified in 2017 using the Disability-Adjusted Life Years (DALYs) lost. Direct costs related to the health care system and indirect costs were estimated for 2017, with indirect costs resulting from the reduction in productivity. Estimates were based on multiple sources of information, including the National Epidemiological Study on Mental Health, the Hospital Morbidity Database, data from the Portuguese National Statistics Institute on population and causes of death, official data on wages, statistics on the pharmaceutical market, and qualified opinions of experts.Results: The estimated prevalence of TRD, MDSR, and both types of depression combined was 79.4 thousand, 52.5 thousand, and 11.3 thousand patients, respectively. The disease burden (DALY) due to the disability generated by TRD alone, MDSR alone, and the joint prevalence was 25.2 thousand, 21 thousand, and 4.5 thousand respectively, totaling 50.7 thousand DALYs. The disease burden due to premature death by suicide was 15.6 thousand DALYs. The estimated total disease burden was 66.3 thousand DALYs.In 2017, the annual direct costs with TRD and MDSR were estimated at € 30.8 million, with the most important components being medical appointments and medication. The estimated indirect costs were much higher than the direct costs. Adding work productivity losses due to reduced employment, absenteeism, presenteeism, and premature death, a total cost of € 1,1 billion was obtained.Conclusions: Although TRD and MDSR represent relatively small direct costs for the health system, they have a relevant disease burden and extremely substantial productivity costs for the Portuguese economy and society, making TRD and MDSR priority areas for achieving health gains.
Investigation of Molecular Modeling And Molecular Dynamics Simulation In BRCA-1 And BRCA-2 Genes of Amygdalin Ligand
Authors: ÖNER Erkan , demirhan Ilter , GHOSH Arabinda , GUNGOR Meltem , YALIN Ali Erdinc , YALIN Serap
Published: September 2021

Breast cancer is the most common type of cancer and the most fatal type among women. BRCA-1 and BRCA-2 are tumor suppressor genes known to cause breast cancer. Drug studies have become very important to target the production of more accurate drugs by reducing the cost with the previous designs of drugs in this field. Amygdalin is used in the treatment of especially cancer, characterized by the loss of red blood cell production. In this study, which was conducted for the first time, it was aimed to examine the use of amygdalin in breast cancer treatment by coupling to the active regions of BRCA-1 and BRCA-2 genes by molecular docking method. The best attachment scores were selected. Amygdalin was taken from PubChem database in sdf format. According to the molecular insertion results, the free energy of the amygdalin ligand for binding to the BRCA-1 protein was -4.8 kcal/mol and the free energy for binding to the BRCA-2 protein was -7.2 kcal/mol also include Ki values. MD simulation was performed using Desmond. Insertion results show that the amygdalin ligand binds more strongly to the BRCA-2 protein than to the BRCA-1 protein. MD simulation for the highly active inhibitor Amigydalin in complex with protein BRCA-2 revealed that the stabilization of ligand was achieved due to the formation of uninterrupted hydrophobic interactions. Due to the binding power of amygdalin ligand, it reveals a unique structure for breast cancer and it is thought to be a reference for designing new molecules with the same structure against cancer and applying these molecules in vivo and in vitro studies.
Deep Learning Algorithmic Approach for Operational Anomaly Based Intrusion Detection System in Wireless Sensor Networks
Authors: Abhale Ashwini Bhaskar , Manivannan S S
Published: September 2021

Because of the ever increasing number of Internet users, Internet security is becoming more essential. To identify and detect attackers, many researchers utilized data mining methods. Existing data mining techniques are unable to provide a sufficient degree of detection precision. An intrusion detection system for wireless networks is being developed to ensure data transmission security. The Network Intrusion Detection Algorithm (NIDS) uses a deep classification system to classify network connections as good or harmful. Deep Convolution Neural Network (DCNN), Deep Recurrent Neural Network (DRNN), Deep Long Short-Term Memory (DLSTM), Deep Convolution Neural Network Long Short-Term Memory (DCNN LSTM), and Deep Gated Recurrent Unit (DGRU) methods that use NSLKDD data records to train models are proposed. The experiments were carried out for a total of 1000 epochs. During the experiment, we achieved a model accuracy of more than 98 percent. We also discovered that as the number of layers in a model grows, so does the accuracy.
The development of a blended emergent research training program for clinical nurses (Part 1)
Authors: Chen Qirong , Li Zeen , Tang Siyuan , Zhou Chuyi , Castro Aimee R. , Jiang Shan , Huang Chongmei , Xiao Jinnan
Published: September 2021

Background
Nursing research training is important for the improvement of nursing research competence of clinical nurses. High-quality development is crucial for a good nursing research training program. Therefore, the objectives of this study are: (1) To develop a blended emergent research training program for clinical nurses based on a needs assessment and related theoretical framework; (2) To describe and discuss the uses and advantages of the ADDIE model (Analyze, Design, Develop, Implement, Evaluate) in the instructional design and potential benefits of the blended emergent teaching method.
Methods
This intervention development study adopted mixed-methods design. The ADDIE model (Analyze, Design, Develop, Implement, Evaluate) was followed to develop the research training program for clinical nurses based on the limitations of current nursing research training programs, the needs of clinical nurses, and the theoretical foundation of blended emergent teaching.
Results
In this study, a theoretical framework of blended emergent teaching was constructed to provide theoretical guidance for the development of training program. Following the ADDIE model, a blended emergent research training program for clinical nurses to improve nursing research competence was developed based on the needs of clinical nurses and the theoretical framework of blended emergent teaching.
Conclusions
The nominal group technique could effectively identify learners’ common needs and priorities. The ADDIE model is a valuable process model to guide the development of a blended emergent training program. Blended emergent teaching is a promising methodology for improving the learner’s learning initiative and educational outcomes. More empirical studies are needed to further evaluate the blended emergent teaching to promote the development of related theories and practice in nursing education.
Immune responses following the first dose of the Sputnik V (Gam-COVID-Vac)
Authors: Malavige Gathsaurie , Jeewandara Chandima , Fernando Harsha , Pushpakumara Pradeep Darshana , Tanussiya Shyrar , Kamaladasa Achala , Gunasekara Banuri , Aberathna Inoka , Kuruppu Heshan , Ranasinghe Thushali , Dayarathne Shashika , Dissanayaka Osanda , Gamalath Nayanathara , Ekanayaka Dinithi , Jayamali Jeewantha , Wijesinghe Ayesha , Dissanayake Madushika , Somathilaka Gayasha , Harvie Michael , Danasekara Saubhagya , Jayathilaka Deshni , Wijayathilaka Dinesh , Kekulandara Chinthaka , Schimanski Lisa , Rijal Pramila , Tan Tiong Kit , Dong Tao , Townsend Alain , Ogg Graham , Weerasooriya Nihal
Published: September 2021

As the first dose of Gam-COVID-Vac, is currently used as a single dose vaccine in some countries, we investigated the immunogenicity of this at 4 weeks (327 naïve individuals). 88.7% seroconverted, with significantly lower seroconversion rates in those over 60 years (p = 0.004) and significantly lower than previously seen with AZD1222 (p = 0.018). 82.6% developed ACE2 receptor blocking antibodies, although levels were significantly lower than following natural infection (p = 0.0009) and a single dose of AZD1222 (p < 0.0001). Similar titres of antibodies were observed to the receptor binding domain of WT, B.1.1.7 and B.1.617.2 compared to AZD1222, while the levels for B.1.351 were significantly higher (p = 0.006) for Gam-COVID-Vac. 30% developed ex vivo IFNγ ELISpot responses (significantly lower than AZD1222), and high frequency of CD107a expressing T cells along with memory B cell responses. Although single dose of Gam-COVID-Vac was highly immunogenic, administration of a second dose is likely to be beneficial.
Effect of Integrating LED Lighting With Fiber Membranes On The Restoration of Eutrophic Waterbody And Its Optimal Application
Authors: Hao Aimin , Mi Qi , He Kai , Xia Dong , Liu Bingjun , Lin Yingchao , Zhu Yongsi , Zhao Min , Iseri Yasushi
Published: September 2021

In this study, laboratory experiments were used to compare the effects of two LED light sources (blue and red) combined with fiber membranes on the increase of Dissolved Oxygen (DO) in eutrophic water bodies for improvement of water quality. The results showed that the application of these two LED light sources can increase the DO concentration and oxidation-reduction potential (ORP), and eliminate the NH4+-N in water bodies and the phosphorus release from the sediment, resulting in the improvement of sediment. Specifically, the blue LED light source is more benefitable to the increase of the DO concentration than the red LED light source. After 28 days, the DO concentration increases to 10 mg/L, and the redox potential is higher than 50 mV with the elimination of NH4+-N. This study illustrated that LED light sources can significantly increase the DO and effectively improve the water quality in eutrophic water bodies.
N6-methyladenosine Reader YTHDF1-induced lncRNA DLGAP1-AS2 Promotes the c-Myc Mediated Gastric Cancer Aerobic Glycolysis
Authors: Yang Changshun , Zhang Yu , Cheng Xuefei , Li Weihua
Published: September 2021

Background: Emerging data has demonstrated the essential function of N6-methyladenosine (m6A) modification of long non-coding RNAs (lncRNAs) in human tumorigenesis. Nevertheless, the regulation of m6A-lncRNA approach on gastric cancer (GC) tumorigenesis is unclear. Methods: LncRNA expression profile data was derived from GEO. M6A profile was screened using Methylated RNA immunoprecipitation sequencing (MeRIP-Seq). The metabolism assays were conducted using quantitative analysis of glucose, lactate, ATP and extracellular acidification rate (ECAR). The m6A level of specific RNA was identified using MeRIP-qPCR. The molecular interaction was detected using RIP assay.Results: In the findings, results showed that enhanced DLGAP1-AS2 expression was correlated with advanced pathological stage and poor prognosis. Functionally, DLGAP1-AS2 promoted the aerobic glycolysis and knockdown of DLGAP1-AS2 suppressed the tumor growth of GC cells. Mechanistically, m6A reader YTHDF1 accelerated the enrichment of DLGAP1-AS2 in GC. Moreover, DLGAP1-AS2 interacted with YTHDF1 to integrate c-Myc mRNA, thereby enhancing the stability of c-Myc mRNA through DLGAP1-AS2/m6A/YTHDF1/c-Myc mRNA. Conclusions: In conclusion, our work indicates a novel m6A-maintained lncRNA DLGAP1-AS2 in the GC aerobic glycolysis, disclosing a m6A-reader-dependent modality regulation.
Characteristics of Foreshocks Occurrence of Onshore Earthquakes In Japan For Mj3.0 To 7.2 Mainshocks
Authors: Peng Hong , Mori James Jiro
Published: September 2021

We use the Japan Meteorological Agency (JMA) earthquake catalogue from 2001 to 2021 to investigate the spatiotemporal distribution of foreshocks for shallow mainshocks (Mj3.0–7.2) that are located onshore of Japan. We find clear peaks for the earlier small earthquakes within 10 days and 3 km prior to the mainshocks, which are considered as our definition of foreshocks. After removing the aftershocks, earthquake swarms and possible earthquakes triggered by the 2011 Mw9.0 Tohoku-oki earthquake, we find that for the 2,066 independent earthquakes, 783 (37.9%) have one or more foreshocks. There is a decreasing trend of foreshock occurrence with mainshock depth. Also, normal faulting earthquakes have higher foreshock occurrence than reverse faulting earthquakes. We calculate the rates of foreshock occurrence as a function of the magnitudes of foreshocks and mainshocks, and we have found no clear trend between the magnitudes of foreshocks and mainshocks.
The Influence of Personality Traits On Mental Symptoms in 5, 449 Chinese University Volunteers : A Cross-Sectional Study
Authors: Jiang Zhaoqiang , Lin Guoming , Chen Junqiang , Chen Junfei , Jiang Huiquan , Feng Lingfang , Jiang Xiyi , Jin Mingying , Lou Jianlin , Ni Zhe
Published: September 2021

Background

Mental health of university volunteers is essential for the successful holding of essential meetings and sports games. The impact of personality traits on the mental symptoms of university volunteers is not well studied. The study objective is to assess personality traits as predictors of mental symptoms in university volunteers in China.
Method

We carried out a cross-sectional study. The study sample consisted of volunteers from sixteen main universities in the city of Hangzhou. The OQ-45 scale was used to evaluate mental symptoms and the PHI was used for the measurement of personality traits. Multiple linear regression analysis was used to study relationships between personality factors and mental symptoms.
Results

Estimation of personality traits revealed higher scores on subscales of hypomania, depression, and psychopathic deviance. The OQ-45 scale identified 1.4% of volunteers as having psychological disorders. PHI scores were positively correlated with scores on the OQ-45 scale (P < 0.01). Anxiety was correlated particularly strongly with interpersonal relationship score and total OQ-45 score (r = 0.6, P < 0.05). Furthermore, we found that personality traits could influence the explicit mental symptoms of the volunteers. Volunteers with traits of anxiety and depression reported a significant impact on their mental symptoms.
Conclusions

The OQ-45 and PHI scales can be used to screen volunteers with mental symptoms. Inner personality traits could be used to predict the mental symptoms of volunteers in China. Our results might assist organizers of future conferences and games in selecting appropriate university volunteers.