bluuebunny/crossref_metadata_2025 huggingface dataset:
Downscaling Correction and Hydrological Applicability of the Three Latest High-Resolution Satellite Precipitation Products (GPM, GSMAP, and MSWEP) in the Pingtang Catchment, China
Authors: Sun Guikai , Wei Yixiong , Wang Guoshuai , Shi Rui , Chen Haojian , Mo Chongxun
Published: January 2022

The emergence of various high-resolution satellite precipitation products (SPPs) solves the problem of precipitation data sources for areas with a lack of precipitation data and is recognized as a reliable supplement to rain gauge observations in hydrometeorological applications. However, there still exists a shortcoming of coarse spatial resolution when applying these products to small and microscale river basins. In this study, a typical karst watershed in Southwest China—the Pingtang River Basin (PTRB)—was selected, and based on the relationship between precipitation and normalized difference vegetation index (NDVI), aspect, slope, and elevation, we used the geographically weighted regression (GWR) to downscale three SPPs, namely, global precipitation measurement (GPM), global satellite mapping of precipitation (GSMAP), and multisource weighted-ensemble precipitation (MSWEP), to 1 km × 1 km, respectively. Combined with rain gauge stations, the geographical differential analysis (GDA) was used to carry out error corrections to obtain three downscaling correction satellite precipitation products (DC-SPPs) with a 1 km spatial resolution, including DC-GPM, DC -GSMAP, and DC-MSWEP. Several statistical indices were used to perform error evaluation and precipitation capture ability analysis on SPPs and DC-SPPs, and the Grid-Xin’anjiang (the Grid-XAJ) model was used to compare their hydrological utility. The results show the following: (1) The downscaling correction method is effective. GWR can effectively improve the spatial resolution of SPPs, while GDA can reduce errors and further improve the accuracy of precipitation estimation. In addition, (2) the precipitation event characterization capabilities of GPM and GSMAP have been improved after downscaling correction, while the ability to capture precipitation events before and after the MSWEP correction is poor, showing a high hit rate and a high false alarm rate, which is unreliable to monitor precipitation events in the PTRB. Finally, (3) compared with SPPs, the hydrological performances of the three kinds of DC-SPPs have been significantly improved, and the NSE are all above 0.75 with low error. In general, the overall performance of DC-GSMAP is satisfactory. The accuracy of different SPPs after downscaling correction is different, but the applicability has been improved to different degrees.
Supporting Music Education in Elementary Schools in a Low-Income Rural Area
Authors: Clark Ivone Fraiha
Published: January 2022

The purpose of this generic qualitative inquiry was to describe parents and educators’ attitudes toward the sustainability of music education in elementary schools in a low-income rural area. Sources for this research included interviews, focus groups, and observations. Participants were principals, parents, and teachers from four elementary schools and three parent-teacher organizations (PTOs) in a small district in a low-income rural area in the southeast United States. Data were analyzed through open coding to describe details on maintaining music in this elementary school. The themes emerged were reasons for supporting music education in elementary schools and principals’ leadership in overcoming economic challenges in music education. Findings indicated that efforts to maintain music in a school program are motivated by the evident impact on students’ academic performance and everyday activities. The results confirmed that educators’ determination and leadership skills are the support for music in the school curriculum.
Oral Surgery Procedures in a Patient Affected by Hereditary Angioedema Type I
Authors: Cinquini Chiara , Santarelli Simonetta , Marianelli Alberto , Nisi Marco , Gabriele Mario , Barone Antonio
Published: January 2022

Hereditary Angioedema (HAE) is a rare disease characterized by a deficiency or a reduced function of the plasma protein C1 esterase inhibitor (C1-INH), which is involved in the downregulation of several inflammatory pathways. Patients affected by HAE suffer from episodic swellings of subcutaneous or submucosal tissues. Swellings can be caused by stress or dental and surgical procedures and can be life-threatening if the airways are involved. We have reported a clinical case of a patient affected by HAE type I who underwent oral surgery procedures under a short-term prophylaxis with C1-INH plasma-derived concentrate. The patient underwent a cyst removal, multiple tooth extractions, and an excisional biopsy with a prophylaxis with C1-INH plasma-derived concentrate and was hospitalized for 36 hours after the surgery to be monitored for possible HAE attacks. During the hospitalization, the patient did not show signs of swelling nor of HAE attacks. At 14 and 28 days after the surgery, the patient presented a good surgical healing. The prophylactic intravenous infusion of C1-INH concentrate was successful in preventing acute HAE attacks after oral surgery procedures.
Evaluation of Wild, Wine, Table, and Raisin Grapevine (Vitis spp.) Genotypes in Gedeo Zone, Southern Ethiopia
Authors: Berhe Dargie Tsegay , Belew Derbew
Published: January 2022

Grapevine is one of the major horticultural crops of the world with the cultivated area exceeding 7.5 million ha used for a myriad of products ranging through fresh table grape, preserves, juice, wine, and raisins. The main objective of this study was to introduce twenty-eight grapevine cultivars (ten wild, ten wine, four table, and four raisin grapes) into Gedeo Zone for the first time and ampelographically characterize them in Dilla and Yirgacheffe agroecological conditions in Gedeo Zone, Southern Ethiopia, from August 2018 to July 2021. Ten Vitis abyssinica wild grapevine cultivars were collected from Adama, Addis Ababa, Alamata, Arba Minch, Bahir Dar, Dire Dawa, Gondar, Hawassa, Jimma, and Jinka areas. Additional ten world class wine grapes were gathered from Ziway Castel Winery, and four table and four raisin grapes were also collected from Raya Horti Farm and Koka Vineyard at the same time. The experiment was a 2 × 28 factorial arranged in randomized complete block design (RCBD) with three replications, and data were analyzed using the R-software. The analysis of variance revealed that the interaction of cultivar and location significantly (

P
<
0.001

) affected grapevine plant height, leaf number, number of fruits per plant, and tendril number per vine, while grapevine trunk diameter, flower cluster, root length, and number of suckers per vines were not significantly (

P
>
0.05

) influenced by the interaction of the two factors. Generally, the wine grapevine cultivars had lower canopy such as plant height, leaf number, number of tendrils, and suckering vines while these registered a higher number of fruits per plant, trunk diameter, flower cluster, and root length compared to the wild grapevine cultivars. The results of the present study suggested that Syrah, Chenin Blanc, and Grenache can produce high grapevine berry yield and wine quality in Gedeo Zone agroecology particularly in Dilla location. The wild grapevines collected from Dire Dawa, Arba Minch, Jinka, and Alamata were the potential candidates for the world class wine, raisin, and table grapevines which could open new frontiers in the future for Ethiopian native Vitis abyssinica wild grapevine breeding and genetic engineering that will help to move the national and international viticulture and enology industry forward. As the Ethiopian native grapevines are at the risk of total extinction, adequate conservation strategies are required. Breeding, detailed identification, and introducing the potential grapes in different regions of the country are needed. This finding represents a step forward in efforts to understand hybridization of Vitis abyssinica grapevine with Vitis vinifera and other new world Vitis species.
A Colorimetric Immunoassay Based on g-C3N4@Fe3O4 Nanocomposite for Detection of Carcinoembryonic Antigen
Authors: Zhao Yanling , Wen Yanfei , Hu Xing , Zhang Bing
Published: January 2022

We proposed a colorimetric immunosensor based on g-C3N4@Fe3O4 nanocomposite-mediated transformation strategy for sensitive detection of carcinoembryonic antigen (CEA). The g-C3N4@Fe3O4 nanocomposite was synthesized and characterized by the scanning electron microscope (SEM), energy dispersive X-ray spectra (EDX), X-ray powder diffraction (XRD), and Fourier transform infrared spectroscopy (FTIR). Fe3+ derived from g-C3N4@Fe3O4 nanocomposite could combine with sodium salicylate to form purple complex products. Based on this color development, the sandwich colorimetric immunoassay was built by utilizing g-C3N4@Fe3O4 nanocomposite as nanolabels on the microplate. With the increasement of CEA concentration, the purple color showed a gradient change. Under optimal conditions, the linearity range is 0.001–50 ng/mL with the detection limit of 0.35 pg/mL for CEA. More importantly, the colorimetric immunoassay has good selectivity, specificity, repeatability, and stability.
Anti-Quorum Sensing in Pathogenic Microbes Using Plant-Based Bioactive Phytochemicals
Authors: Subramanian Kumaran , Selvaraj Harshni , K Balakrishnan , Sampath Renuga Pugazhvendan , S Velmurugan , Aruni Wilson
Published: January 2022

Infectious disease-causing pathogenic microorganisms grow rapidly within quorum sensing mediated biofilms. Attempts are made to restrict quorum sensing in pathogens, and the formation of biofilms has paved the way for the identification of bioactive phytochemicals. Anti-QS compounds have been proven to reduce bacterial pathogenicity in the past. Medicinal plants provide an enticing repertoire of phytochemicals with distinct microbial disease-controlling potential due to the vast spectrum of secondary metabolites included in extracts such as phenolics, quinones, flavonoids, alkaloids, terpenoids, and polyacetylenes. This review makes a specialty of the bioactive molecules produced using vegetation which have a target closer to quorum sensing accompanied via biofilm formation in pathogenic microbes.
The Attitude of Sudanese EFL Students towards Literature to Enrich Their Vocabulary Building
Authors: Abdelrady Abbas Hussein , Jahara Syed Farhat , Elmadani Azza Elmadani Adam , Kumar Tribhuwan
Published: January 2022

This study aims to explain the attitude and perception of Sudanese EFL secondary school students towards learning literature to enrich their vocabulary. The study is unique as the researchers believe that no significant research in the undertaken area has been conducted in secondary schools in Sudan. The study sample consists of seventy-nine subjects: thirty girls, thirty-five boys, and fourteen teachers from Ahfad Secondary School in Khartoum. This study investigated vocabulary acquisition challenges faced by secondary school students of Ahfad due to lack of interest, lack of good study material for literature, lack of experienced and well-qualified teachers, lack of modern techniques in the EFL classroom, and the implementation of a designed curriculum. Secondary students can engage in meaningful active communication in English if they have good vocabulary, and literature is the most effective way to expand vocabulary. The study adopted qualitative methodology using a questionnaire and vocabulary building activities to perceive how literature helps vocabulary acquisition. The study results showed that the EFL subjects positively enriched their vocabulary through the existing curriculum. EFL teachers should use innovative methods to inculcate vocabulary acquisition in the heart of the EFL students to develop the spirit of reading sections.
Sentiment Analysis of English Text with Multilevel Features
Authors: Rao Li
Published: January 2022

In natural language processing, text sentiment analysis is one of the important branches. It refers to the use of text mining and other technologies to extract attitudes, opinions, and other information from texts containing emotional information for analysis. Traditional sentiment analysis methods can be roughly divided into two categories: one is dictionary-based methods, and the other is machine learning-based methods. The former relies on the quality of the sentiment dictionary, while the latter relies on a large amount of high-quality data, so both have certain limitations. In text sentiment analysis research, word-level and sentence-level sentiment information extraction is a basic research task and has important research value. Through research, it is found that domain knowledge and context are two important factors influencing the extraction of emotional information. To this end, this paper proposes a text sentiment analysis method that integrates multiple features and constructs three features, which are based on the sentiment value feature of the dictionary, the expression feature, and the improved semantic feature, which are combined to build a text sentiment classification model. Aiming at the colloquial, irregular, and diverse features of English social media texts, this paper proposes a multilevel feature representation method. The sentiment classification experiments on English text show that the multilevel features proposed in this paper can effectively improve the F1_macro and accuracy of multiple model classifications. Compared with the existing research, the model in this paper improves the effect the most obvious.
Personalized Travel Route Recommendation Model of Intelligent Service Robot Using Deep Learning in Big Data Environment
Authors: Huang Xiang
Published: January 2022

Aiming at the problems that the traditional model is difficult to extract information features, difficult to learn deep knowledge, and cannot automatically and effectively obtain features, which leads to the problem of low recommendation accuracy, this paper proposes a personalized tourism route recommendation model of intelligent service robot using deep learning in a big data environment. Firstly, by crawling the relevant website data, obtain the basic information data and comment the text data of tourism service items, as well as the basic information data, and comment the text data of users and preprocess them, such as data cleaning. Then, a neural network model based on the self-attention mechanism is proposed, in which the data features are obtained by the Gaussian kernel function and node2vec model, and the self-attention mechanism is used to capture the long-term and short-term preferences of users. Finally, the processed data is input into the trained recommendation model to generate a personalized tourism route recommendation scheme. The experimental analysis of the proposed model based on Pytorch deep learning framework shows that its Pre@10, Rec@10 values are 88% and 83%, respectively, and the mean square error is 1.537, which are better than other comparison models and closer to the real tourist route of the tourists.
Construction of English Language Autonomous Learning Center System Based on Artificial Intelligence Technology
Authors: Zhang Yang
Published: January 2022

The vigorous development of multimedia technology and network technology has brought modern methods to English learning, and the development of digital language systems has created a vibrant learning environment. This article aimed to study how to build a learning center system based on artificial intelligence technology to improve the ability of English language autonomous learning. Based on artificial intelligence technology, this article proposes how to build a learning center system and how to apply artificial intelligence technology to improve the ability of autonomous learning. According to the experiments in this article, in the case of traditional textbook learning, the probability of autonomous learning is 35%. In the case of artificial intelligence technology systems, the probability of autonomous learning is 53%, which is 18% higher than traditional learning. From this article, it can be seen that the proportion of students who like to use artificial intelligence technology to learn independently is about 70% and that of students who like to study with textbooks is about 30%. The experimental results show that the learning system built by artificial intelligence technology has improved people’s autonomous learning ability. In short, it is necessary to expand the application fields of artificial intelligence as soon as possible in the autonomous learning of English. To improve the autonomous learning system, the power of technological changes brought about by artificial intelligence is also necessary.
On the Investigation of Effective Factors on Electronic Structure Properties of Transition Metal Complexes: Robust Modeling Using GPR Approach
Authors: Wang Jianjun , Molla Jafari Mohammad Mahdi
Published: January 2022

Materials discovery is usually done using high-throughput computational screening. The use of costly and complex direct density functional theory (DFT) simulation methods has been commonly used to determine subtle trends in spin-state ordering and inorganic bonding of inorganic materials and, in general, to predict the electronic structure properties of transition metal complexes. A Gaussian process regression (GPR) framework consisting of four kernel functions is introduced for spin-state splitting estimation through inorganic chemistry-appropriate empirical inputs. To this end, the present study reviewed an extensive range of data values from earlier works. According to statistical analysis, the GPR model showed very good performance. The coefficients of determination were calculated to be 0.986 for the exponential and Matern kernel functions, suggesting the highest predictive power of these methods. Moreover, the sensitivity of output to inputs was measured. Artificial intelligence (AI) helped accurately predict the target values through various input ranges.
Long Noncoding RNA RMRP Contributes to Paclitaxel Sensitivity of Ovarian Cancer by Regulating miR-580-3p/MICU1 Signaling
Authors: Li Lingling , Zeng Saitian , Guo Liang , Huang Ping , Xi Jie , Feng Jing , Li Qian , Li Yanying , Xiao Xiyun , Yan Ruixue , Zhang Jiyan
Published: January 2022

Ovarian cancer is a prevalent female malignancy affecting the health and life of an increasing population of women around the world. Paclitaxel (PTX) resistance is a significant clinical problem in the treatment of ovarian cancer. However, the regulation mechanism of PTX resistance remains unclear. In this investigation, we reported an innovative function of the long noncoding RNA RMRP in promoting PTX resistance and glycolysis of ovarian cancer cells. We observed that RMRP was highly expressed in the ovarian cancer samples, in which the expression of RMRP was elevated in the PTX-resistant patients compared with the PTX-sensitive patients. Meanwhile, RMRP was upregulated in PTX-resistant ovarian cancer cell lines. Functionally, we found that the silencing of RMRP by siRNA significantly enhanced the PTX sensitivity of PTX-resistant ovarian cancer cells, in which the IC50 of PTX was reduced by RMRP depletion. The RMRP knockdown reduced cell viabilities and enhanced cell apoptosis of PTX-resistant ovarian cancer cells. Moreover, we observed that glucose uptake was enhanced in PTX-resistant ovarian cancer cells. The depletion of RMRP decreased glucose uptake, lactate product, and ATP production in PTX-resistant ovarian cancer cells. About the mechanism, we identified that RMRP was able to sponge miR-580-3p to enhance mitochondrial calcium uptake 1 (MICU1) expression in PTX-resistant ovarian cancer cells. MICU1 overexpression and miR-580-3p repression could reverse the RMRP-inhibited proliferation of PTX-resistant ovarian cancer cells in vitro. Thus, we concluded that RMRP contributes to PTX resistance and glycolysis of ovarian cancer by enhancing MICU1 expression through sponging miR-580-3p. Targeting RMRP may serve as a potential therapeutic strategy for the treatment of PTX-resistant ovarian cancer patients.
Multidepot Two-Echelon Vehicle Routing Problem for Earthwork Allocation Optimization
Authors: Zhang Qinglong , Deng Naifu , Zhu Yanwen , Huang Zhenping
Published: January 2022

Prior to the construction of most engineering projects, earthwork is a complex and time-consuming task, requiring iterative operations in civil engineering. The effectiveness of earthworks determines the cost of many AEC (architecture, engineering, and construction) projects (e.g., road, embankment, railway, and slope engineering). As a result, creating effective earthwork planning is critical. The earthwork allocation problem is simplified in this study to the vehicle route problem (VRP), which is often studied in the field of transportation and logistics. An optimization model for the earthwork allocation path based on the modified genetic algorithm with a self-adaptive mechanism is developed to work out the global optimal hauling path for earthwork. The findings of the study are also used to shape the basic topographic shape of the Winter Olympic Skiing Course Project. Furthermore, a comparative study with the former methods is conducted to validate the performance of our proposed method on tackling such a multidepot two-echelon vehicle routing problem. Because of its flexibility, this optimization model is extremely compatible with various evolutionary methods in many fields, making future development viable and practicable.
HD-13 Induces Swine Pneumonia Progression via Activation of TLR9
Authors: Liu Jing , Xu Jiayi , Zhou Honglei , Wang Lihua
Published: January 2022

Swine pneumonia commonly known as swine pasteurellosis is an infectious disease of swine caused by Pasteurella multocida infection. It has been reported that Toll-like receptors (TLRs) play a vital role in swine pneumonia progression. However, the underlying mechanism has not been elucidated. This research was aimed at investigating the molecular mechanism by which TLR9 regulates swine pneumonia progression. Our findings illustrated that the HD-13 strain of Pasteurella multocida D (HD-13) accelerated TLR9 expression in porcine alveolar macrophage 3D4/21 cells; HD-13 activated the inflammatory response via accelerating TLR9 expression. Mechanistically, HD-13 activated mitogen-activated protein kinase (MAPK) and nuclear factor kB (NF-κB) signals. In conclusion, HD-13 may activate MAPK and NF-κB pathways via accelerating TLR9 expression, thereby accelerating the inflammatory response in the progression of swine pneumonia. TLR9 may serve as a novel therapeutic target for swine pneumonia. Our research may provide a theoretical basis for the prevention and treatment of swine pneumonia.
Characterization of the Aluminium Matrix Composite Reinforced with Silicon Nitride (AA6061/Si3N4) Synthesized by the Stir Casting Route
Authors: Kumar B. Ashok , Krishnan M. Muthu , Sahayaraj A. Felix , Refaai Mohamad Reda A. , Yuvaraj G. , Madhesh D. , Allasi Haiter Lenin
Published: January 2022

The current work is concerned with the synthesis of aluminium (AA6061-T6) matrix composites (AMCs) reinforced with 15 and 20 weight percentages of silicon nitride (Si3N4) particulates using the indigenously fabricated electric stir casting furnace with bottom discharge arrangement. The major concern in the synthesis of AMCs of ceramic particles with the aluminium matrix is wettability in the casting route, and it was overcome by adding 2% of magnesium in the melt, proper incorporation time, and appropriate stirring speed. The microstructure and mechanical characteristics of the synthesized AMC were analyzed. Si3N4 particles in the matrix are uniformly dispersed in the optical and scanning electron micrographs (SEM). Adding reinforcement particles of Si3N4 to the AA6061 matrix increased microhardness, macrohardness, and ultimate tensile strength significantly. Microhardness and macrohardness of the AA6161/20 wt.% Si3N4 composite were 98 VHN and 91 BHN, respectively, which were 117.8% and 111.63% higher than those of the AA6061 matrix alloy, respectively. Ultimate tensile strength (UTS) of AA6061 was 159.82 MPa which was increased to 249.12 MPa in the AA6061/20 wt.% Si3N4 composite. Percent elongation of the AA6061/Si3N4 composite was reduced with the addition of Si3N4 reinforcement.
Experimental Investigation on the Shear Behavior of Interface between High Plastic Clay and Concrete
Authors: Zhu Yumeng , Li Guoying , Mi Zhankuan , Wei Kuangmin , Chen Ziyu
Published: January 2022

The Lianghekou earth core rockfill dam to be built in China will be the third highest rockfill dam in the world. This study presents the results of a series of direct shear tests between high plastic clay and concrete to study the shear behavior of contact clay-concrete cushion interface of Lianghekou dam. Results showed that water content and normal stress are significant factors affecting the shear behavior of the interface. The higher shear strength is related to lower water content and higher normal stress, and the shear strength can be formulated by the bifold-line type Mohr–Coulomb strength criterion. It is also found that the interface exhibits mainly two kinds of shear failure modes, that is, sliding failure along the concrete surface and shear failure in the clay matrix nearby the interface. Moreover, a nonlinear elastic model is proposed to simulate the shear behavior of the interface, of which parameters can be quickly estimated by water content. The simulation of the model is compared with the experimental results, and the results show that the model is reasonable and practical.
Microwave-Based Colonoscopy: Preclinical Evaluation in an Ex Vivo Human Colon Model
Authors: Fernández-Esparrach Glòria , Garrido Alejandra , Sont Roberto , Dghoughi Walid , Marcoval Sergi , Cuatrecasas Miriam , López-Prades Sandra , de Lacy F. Borja , Pellisé María , Belda Ignasi , Guardiola Marta
Published: January 2022

Introduction. Microwave imaging can obtain 360° anatomical and functional images of the colon representing the existing contrast in dielectric properties between different tissues. Microwaves are safe (nonionizing) and have the potential of reducing the visualization problems of conventional colonoscopy. This study assessed the efficacy of a microwave-based colonoscopy device to detect neoplastic lesions in an ex vivo human colon model. Methods. Fresh surgically excised colorectal specimens containing cancer or polyps were fixed to a 3D positioning system, and the accessory device was introduced horizontally inside the ex vivo colon lumen and moved along it simulating a real colonoscopy exploration. Measurements of the colon were taken every 4 mm with the microwave-based colonoscopy device and processed with a microwave imaging algorithm. Results. 14 ex vivo human colorectal specimens with carcinomas (

n
=
11

) or adenomas with high grade dysplasia (

n
=
3

) were examined with a microwave-based device. Using a detection threshold of 2.79 for the dielectric property contrast, all lesions were detected without false positives or false negatives. Conclusions. This study demonstrates the use of a microwave-based device to be used as an accessory of a standard colonoscope to detect neoplastic lesions in surgically excised colorectal specimens.
Evaluation Method and Simulation of Accounting Integrity in View of Grey Correlation Model
Authors: Li Cai
Published: January 2022

Accounting dishonesty is still a problem that is far from being solved, both in theory and in practice. In the existing research on accounting dishonesty, scholars mostly analyze the causes and countermeasures of the lack of accounting integrity from the aspects of external accounting system and internal corporate governance and fail to establish a theoretical system and analytical framework for accounting integrity analysis. This limitation inevitably makes the analysis stay on the surface of things with lack of a deep grasp of its essential problems. Through the study of the relevant literature, the grey correlation model can sort the proportion of the factors affecting accounting integrity and get the primary and secondary factors affecting accounting integrity, so as to put forward more targeted countermeasures to solve the problem of accounting integrity. Based on this, this paper uses the method of combining theory with practice to study the problem of accounting integrity. Combined with the current situation of accounting integrity, this paper uses the grey correlation model to sort the proportion of the factors affecting accounting integrity, analyzes its specific reasons, and finally puts forward the measures to solve the dilemma of accounting integrity according to the analysis results. In view of the problems of enterprise accounting integrity, it is necessary to strengthen the publicity and education of accounting practitioners’ integrity system. Accelerate the construction of the legal system of accounting integrity and promote the legislation of accounting integrity. A full‐time organization for accounting integrity evaluation should be established to measure the accounting integrity of enterprises by using reasonable evaluation means and methods, clear and standardized evaluation contents, and integrity level standards.
Clinical Value of FeNO for Pulmonary Hypertension Diagnosis in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease
Authors: Guo Wei , Wang Ning , Cui Zhaobo , Liu Wenjing , Guo Shufen , Yang Xiaoya , Liu Yajing , Shao Liye , Wang Jing
Published: January 2022

Objective. To investigate the clinical value of fractional exhaled nitric oxide (FeNO) in the diagnosis of pulmonary hypertension (PH) in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Methods. In this study, the medical records of AECOPD patients were retrospectively reviewed. The patients were divided into AECOPD and AECOPD + PH groups based on the absence or presence of PH. Moreover, FeNO and other indexes were compared between the two groups. The value of FeNO in diagnosing AECOPD with PH was determined using the ROC curve. Results. A total of 83 patients were enrolled (56 in the AECOPD group and 27 in the AECOPD + PH group). The level of FeNO was significantly lower in the AECOPD + PH group than in the AECOPD group (

P
=
0.022

). Moreover, FeNO level (25.22 ± 8.45 ppb) was higher in the mild PH subgroup than in the moderate (16.64 ± 5.67 ppb,

P
=
0.005

) or severe (11.75 ± 2.36,

P
=
0.002

) PH subgroups. FeNO level was positively correlated with C-reactive protein in AECOPD patients while negatively correlated with brain natriuretic peptide in the AECOPD + PH group. ROC analysis showed that the optimal cutoff value of FeNO in the diagnosis of AECOPD with PH was 24.5 ppb. Conclusion. FeNO level at admission can act as an indicator for PH diagnosis in AECOPD patients.
A Literature Review on the Mental Health and Coping Strategies of Healthcare Workers in This Time of Pandemic
Authors: Aclon Ma-Ai C. , Perez-Ambray Ma. Chelsea , Antiporda Mae Cherryrose P. , Dizon Maria Pia S. , Garcia Paul Reinald B. , Lapitan Marie Anne A. , Nocos Purisima M. , Aquino Sherwin S. , Parico Aristotle M. , Lopez Mary Ann E. , Guevarra Cecile F. , Orte Christian Jay S. , Floresca Hanna Monique A. , Jecino Liza May B. , Ruiz Fred B.
Published: January 2022

This literature review focused on the mental health and coping strategies of healthcare workers amidst pandemic. Coronavirus disease 2019 (COVID-19) has produced a worldwide health catastrophe that has mandatory emergency protocols and control in all countries. The increasing number of confirmed positive patients and deaths has caused health emergency to health care providers and even to the health system. Besides the population that had been infected, healthcare workers who are at the forefront of battling with the disease have also been ill. The fact that nurses have longer exposure, a revealing misery associated to mental health issues such as depression, drowsiness and sleep deprivation was fabled. As many people would say nowadays, “depression is real” and this opens gates as this study aims to explore on the mental health status of the healthcare workers and their coping strategies as identified by several studies.
Health Affliction and Medical Service of Tea Plantation Women Workers in Sri Lanka: An Anthropological Study Based on Alton Estate-2021
Authors: Helanjanani Shammuganathan
Published: January 2022

This research Studies “Health affliction and medical service of tea plantation women workers in Sri Lanka: An anthropological study based on Alton – 2021” This study focused on women workers in the tea plantation. This study problem highlights general health conditions of the women workers. The plantation management provides not quality of the medical specialties for the tea estate. Thereby most of the women workers are facing challenges to get proper medical services. Women workers more contributed for the economic sector in the Sri Lanka. Therefore the government should protect them. According to this study use primary and secondary data collection method, in short time; to selected sample size 12 from tea estate of Alton in Horana plantation. Women workers and health issues research relating women workers are suffering from fever, cough, cold, stomach pain, weakness, eye pain, headache, skin diseases, chest pain, asthma, breathing trouble, Hand pain , leg pain and Pregnancy. This study argues why they cannot get in correct way of the government medical service in the tea plantation. According to this issues, what are the problem are overcome. And provide good medical service and treatment for women worker in the tea plantation. Manage the situation to develop the hill country community. This is the way to research in this area. As well as I suggested some of the idea and commons in this problem. 12 samples were selected from a simple resource among the people belonging to 660 families living in study area and numerical and characteristic data on the conditions of the study area were read. This study concern research place situation to choice to use qualitative research method and used sample random sampling method to observed and read to get many idea and knowledge relevant the research problem to done this research. This research mainly focused what are different between nation and plantation medical service system. This research should be given the important for hill country community people. They are structurally different for other Sri Lankan community people. They are not receiving Sri Lanka welfare schemes in equally. According to this study provides a critical analysis and suggestions.
Collective Knowledge and Skills of Planning and Executing Future-proof Curriculum Design of Outcomes-based Graduate Education
Authors: Eguia Rec E.
Published: January 2022

The competitiveness of the workforce and the country's productivity in the future depend mainly on the quality of education. The strategic mindset of education leaders and planners, policymakers, administrators, researchers, teachers, students, and engagement of external stakeholders are some of the critical foundations of effective human capital development. Future-proof professionals are products of the quality of minds of the crafters and implementors of the graduate education curriculum. Therefore, education planners must be equipped with the necessary knowledge and skills of curriculum planning. The University of Southeastern Philippines, College of Development Management (USeP-CDM), explores the opportunity to create a global community of professionals by developing an Outcomes-based Graduate Education (OBGE). Thus, this study aimed to determine the collective knowledge and skills of planning and executing curriculum design of graduate education of the college. This study employed a qualitative method of research using action research. Action research is an appropriate design of the study because it is anchored on the principles of participation, empowerment and critical reflection in curriculum planning. Data were collected from the in-house faculty workshops and meetings, external stakeholders' consultations, and research conferences. Action learning and reflective practice were used to validate the predetermined themes of the collective knowledge and skills in the planning and executing curriculum design and development. The study revealed seven collective knowledge and skills demonstrated in planning and implementing the curriculum design and development. These knowledge and skills include Innovation, Design Thinking, Futures Literacy, Collaborative Foresight, Systems Thinking, Creative Thinking, and Reflective Practice. Finally, the study's findings showed that a newer sensibility of planning and execution of future-proof graduate education curriculum emanates from cultivating the knowledge creation process of the education planners, faculty, students, and administrators.
Awareness, Acceptability, and Perception of Stakeholders on the Vision and Mission of Cavite State University, Teacher Education Department Goals, and Education Program Objectives
Authors: Gomez Anabella C. , Basco Ma. Corazon M.
Published: January 2022

This descriptive study aimed to determine the extent of awareness of various stakeholders on the Vision and Mission Statements of Cavite State University, Teacher Education Department Goals, and Education Program Objectives (VMGO), the acceptability level of the VMGO statements of the University, and the level of perception on the VMGO’s congruency and alignment to curricular education activities, operations, and projects. The study which was conducted at Cavite State University Imus Campus was able to yield data from 817 internal and external stakeholders.

Results reveal that both the internal and external stakeholders are highly aware of the VMGO of the University and its dissemination in various forms of media. Moreover, they highly understand and accept the VMGO statements. Likewise, their perceptions include strong agreement that the VMGO statements are clearly stated and highly congruent and aligned with the University policies and curricular activities of the Teacher Education Department programs.
Global Contemporary Art in the Philippines: A Vantage Point
Authors: Del Mundo-Angeles Ana Neliza
Published: January 2022

Philippine art scene had never been more prolific than today. This study aims to be a groundwork for more studies about global contemporary art in the Philippines and how it can help shape the future curriculum of Fine Arts in the country. This study looked into the characteristics of global contemporary art in the Philippines through the professional artists’ and art students’ perspectives using qualitative research method. The research believes that global contemporary art promotes “unity in diversity” to unite nations as one big community sans nationality, color, race, or language. Once the phases of this study is complete, these will be significant to artists and art students who want to be guided on creating contemporary art that can compete globally, as well as academes to have a handy reference for creating global contemporary subjects following an outcomes based curriculum.
The New Covid-19 Wave and the Psychological Distress Among Senior High School Students in Ghana
Authors: Adangabe Amos Amuribadek , Agbakplor Godfred , Dorgbetor Alfred , Dogbey Alice Emmanuella , Braimah Mary , Annang Louisa , Sam-Wiah Juliet , Dadzie Gilbert
Published: January 2022

The study explored the psychological experiences of Senior High School students and their coping strategies in selected Senior High Schools in Ghana in the wake of the third wave of Covid-19. Data for the study were purposely collected from 20 respondents using a semi-structured interview guide and analysed thematically. The findings of the study revealed that the majority of students in Senior High Schools are confused and have a feeling of anxiety whilst on campus in the wake of the third wave of Covid-19. It was further established that Senior High School students cope by building relationships with their teachers and as well with their colleagues in school and adherence to state laid down protocols. The contribution of Guidance and Counselling units in the schools played a great role in helping students cope psychologically.
Analysis Reinforcementscore of Characteristics Education “Kentrung Gas” Art in SMA 2 Bondowoso (George Herbert Mead's Theory of Interactionism Symbolic)
Authors: Kurniawan F , Soepeno B , Naim Mohamad
Published: January 2022

Kentrung is the art of oral literature or the speaking of art (oral theater) accompanied by trebeng beats. Kentrung art is also found in Bondowoso, which has the characteristic of using the Madurese language as the language of instruction. Currently, kentrung art is popularized and often played by GAS (Grup Apresiasi Seni) Bondowoso. This study attempts to analyze Reinforcementscore of Characteristics Education of kentrung GAS art in SMA Negeri 2 Bondowoso which is studied through the interactionism symbolic theory of George Herbert Mead. This study uses a qualitative research method with the research location in GAS Bondowoso Studio and SMA 2 Bondowoso. The primary data sources in this study were the main informants, namely the puppeteers and kentrung performers of GAS Bondowoso and students of SMA 2 Bondowoso. Techniques of data collection in this study using interviews, observation and documentation. There are several uniqueness in the art form of kentrung GAS Bondowoso. First, the use of Madurese language in staging stories and reading rhymes of kentrung. Second, the number of personnel in the art of kentrung GAS Bondowoso is four to seven people. Third, the songs are sung using modern (popular) songs. Meanwhile, the structure of the Kentrung GAS Bondowoso art consists of several elements, namely elements of players, elements of stories, elements of costumes, elements of rhymes, and elements of instrumental music. Based on the research discussion, kentrung GAS Bondowoso from the perspective of interactionism symbolic theory describes 3 things. While Reinforcementscore of Characteristics Education of kentrung GAS art in SMAN 2 Bondowoso, it can be concluded that in the form and entire structure of kentrung GAS there are values for Reinforcement of Characteristics Education. Reinforcementscore of Characteristics Education are mostly found in the rhyme element of kentrung.
A Analysis of Regional Competitiveness in the Context of Socio-Economics and Infrastructure
Authors: Tampubolon Dahlan
Published: January 2022

The research aims to analyze the variables that influence and determine the regional competitiveness of Meranti Islands Regency using Analytical Hierarchy Process (AHP) method. The research used primary data with questionnaire and interview with 40 respondents consisting of members of the Regency DPRD, sub-district heads, heads of government sections, socio-cultural and village community empowerment. The research consists of five institutional variables; socio-political, regional labor, economy, productivity and physical infrastructure. The results of regional competitiveness among sub-districts are economic variables in the Tasik Putri Puyu sub-district (0.475), Tebing Tinggi subdistrict’s physical infrastructure (0.373), labor and productivity of Pulau Merbau sub-district (0.216), Rangsang Pesisir Barat sub-district’s high cliff institutions (0.260) and Rangsang Pesisir sub-district’s social politics (0.333).
From Soft Security to Hard Security in the Black Sea Region – Does the osce Fit?
Authors: Shelest Hanna
Published: January 2022

The article analyses the security transformation in the Black Sea region through the prism of threats and approaches flux, making an additional focus on the osce role in the regional security affairs. It comes from the assumption that whereas security threats have been evolving, demonstrating its fluidity in terms of the soft and hard power perspective, the osce remained with the realm of 1975 in terms of its approaches towards the Black Sea security. The main research questions are: How has security perception changed in the Black Sea region for the last three decades? Whether the osce is a security actor in the Black Sea region? Can resilience-building be a smart security response to the current challenges?
The Subjective Habitability & Acceptability Questionnaire (SHAQ): Development and Validation
Authors: Roma Peter G. , Blackwell Landon Lauren , Spencer Cara A. , Whitmire Alexandra M. , Williams Thomas J.
Published: January 2022

Objective

Describe the development and validation of the Subjective Habitability & Acceptability Questionnaire (SHAQ).

Background

Habitat area size, layout, and design may impact individual and team behavioral health and performance (BHP) outcomes in operational environments. However, there are no standardized measures of these relationships.

Method

SHAQ is a modular survey consisting of two 6-item scales: BHP Outcomes ( Performance of Individual Activities, Performance of Group Activities, Mood, Psychological Stress, Sleep, and Social Interactions) and Habitability Moderators ( Privacy, Social Density, Efficiency, Control, Comfort, and Convenience). We collected SHAQ data from NASA’s Human Exploration Research Analog (HERA) crews ( n = 19) in reference to multiple habitat areas (Sleep/Bedroom, Hygiene/Bathroom, Work/Office/Workshop, and Food Preparation/Kitchen/Galley) in the HERA operational environment, private hotel rooms, and individual home habitats.

Results

SHAQ has high construct validity (single factor solutions, mean item factor loading = 0.760, mean % variance = 60.37), internal consistency and reliability (item mean α = 0.880, mean ω=0.894, mean ICC = 0.430), concurrent validity (mean item r with System Usability Scale = 0.42), and discriminant validity (e.g., significantly higher facilitation of group activities in HERA Work/Office/Workshop and Food Preparation/Kitchen/Galley areas vs. Hygiene/Bathroom and Sleep/Bedroom areas; significantly higher ratings of privacy, comfort, and convenience in hotel vs. HERA).

Conclusion

SHAQ is a reliable, valid, and sensitive measure of BHP impacts of habitat size and layout.

Application

SHAQ can be used to inform evidence-based recommendations and thresholds for habitat area size, layout, and design options to support individual and team BHP in operational environments.
Nigerian Troops in the War Against Boko Haram: The Civilian–Military Leadership Interest Convergence Thesis
Authors: Oriola Temitope B.
Published: January 2022

This study interrogates the experiences of Nigerian troops in the war against Boko Haram. The paper’s contribution is bi-dimensional. First, it adds to the empirical literature on Boko Haram by analyzing the perspectives of rank-and-file troops. The study finds 10 forms of corruption affecting troops. These have contributed to the inability to defeat Boko Haram. Second, the paper adds to theoretical scholarship on civil–military relations and persistence of small wars. It challenges the bureaucratic-organizational model and the focus of civil–military relations theory on civilian control of the military. The study emphasizes the need to focus on the texture of the relationship between civilian and military leaders. The paper argues that the bureaucratic-organizational model has limited relevance to militaries in the postcolony and proposes a civilian–military leadership interest convergence thesis. The findings are relevant for understanding the spread of terrorism in sub-Saharan Africa and the persistence of small wars in non-Western, illiberal quasi-democratic societies.