bluuebunny/crossref_metadata_2025_split huggingface dataset:
The application of interactive speech system based on neural network algorithm in Ideological and political network education platform
Authors: Lusi Zhang 
Published: March 2023

Abstract
In the face of a lot of information, students feel helpless and at a loss. In the face of all kinds of knowledge every day, they feel the unprecedented impact of The Times. Therefore, it is also the case that more and more students learn through self-active learning, self-exploration activities, by finding learning partners, learning experiences and acquiring knowledge. Today, speech recognition technology is maturing and can accurately recognize most voice commands in a noiseless environment. Through the network ideological and political teaching platform, text, figures, graphics, animation and other information will be converted into courses, learning materials and multimedia content in educational activities. On the one hand, the neural network algorithm based on the interactive voice system platform can help teachers to teach and students to learn at the same time. Fully excavate the characteristics of the network education platform, design and develop the education platform network in line with the education law, make full use of the advantages of ideological and political courses, and use the network education platform to manage teaching tasks. Online education platform mainly teaches students knowledge based on the Internet and provides students with a comfortable learning environment. Although the application of the ideological and political online education platform is not as large as other platforms, it is complete with five organs and can meet the basic functions of online education.
Application of intelligent recommendation system based on deep learning algorithm in university library talent training
Authors: Liu Dongmei 
Published: March 2023

Abstract
Intelligent recommendation system can greatly save users' time and energy by asking for relevant information and providing powerful guidance and help to users. Deep learning algorithm has become the most popular research direction in the past decade due to its powerful expression ability, whether it is the ability to fit data patterns or the ability to mine data feature combinations. This paper takes the university library as the main research data. The data comes from the original data of a university library for five years, including the collection of book information, the reader information of borrowing books, the book borrowing records, and the book related information with research and experimental data is selected. At the same time, in order to alleviate the start-up problem of new users, college library, as a new form of traditional library, combined with the resources of traditional library, analyzes the role of college library in college talent training in the intelligent recommendation system of college library, thinks about the driving force of college library service innovation, and discusses some measures of library service innovation under the background of talent training. Through the study of the existing book recommendation system, the shortcomings of the existing recommendation service are found, and a new service architecture of the recommendation system is proposed. The artificial intelligence recommendation algorithm is applied to achieve the purpose of intelligent book recommendation and provide the best service for teachers and students.
Study of Prevalence of Depression and Associated Stressors Among Geriatric Patients Attending Psychiatry Department of Kathmandu Medical College; a Descriptive Cross Sectional Study
Authors: Neupane Bastabika , Ghimire Suson , Paudel Shailes , Gupta Umang , Bhandari Prakriti 
Published: March 2023

Abstract
Background
Depression in old age is an important public health problem causing considerable morbidity and disability worldwide. This study aimed to establish prevalence and factors associated with geriatric depression in tertiary care center.
Objective
Study of prevalence of depression and associated stressors among geriatric patients attending Psychiatry Department of Kathmandu Medical College
Method
A hospital based cross-sectional study was conducted among 101 elderly patients and diagnosis was made as per ICD-10 DCR criteria. GDS was used to screen depression. PSLES was used to identify various stressful life events. Data analysis was done and results were calculated.
Result
Study conducted among 101 elderly patients showed that depression was present in 49.5% and among 51 stressful events, nineteen were present in participants. Among 50 patients diagnosed as depression, 7 (14%) had mild, 39 (78%) had moderate, 4 (8%) had mild depression. Stressful life events were significantly associated with geriatric depression.
Effects of long-term banana cultivation on trace elements deposition in soil ecology
Authors: Islam Md Saiful , Phoungthong Khamphe , Niger Asfia , Islam Md Towhidul , Ismail Zulhilmi , Is Abu Reza Md Towfiqul , Khan Rahat , Hasan Fakhrul , Kabir Md Humayun , Ezewudo Bede Izuchukwu , Ibrahim Khalid A , Idris Abubakr M 
Published: March 2023

Abstract
Nowadays, there is an emergent public concern about trace elements accumulation in surface soils of banana fields around the industrial area of Bangladesh. This work firstly assessed contamination of metal(loid)s (Cr, Cu, Ni, As, Zn Cd, Mn, Fe, and Pb,) in soils of banana fields, sources and ecological risks of trace elements using various indices, their bioaccumulation in banana plant tissues and probable health risk using chemometric approach. Soils and different tissues of banana (Musa spp.) were collected from long time cultivated banana fields around the industrial area and capital of old Pundranagar, Bangladesh and samples were measured by ICP-MS. Experimental data showed that concentrations range of Cr, Cr, Ni, Cu, As, Cd, Pb, Fe, Mn and Zn in soil were 1.50–61.7, 2.42–87.4, 2.00-100.8, 0.25–31.2, 0.10–12.7, 0.60–91.8, 11330–23782, 8.69–105.9, and 7.50-125.9 mg/kg, respectively. Average level of trace elements in plant parts followed the descending order of roots > leaves > stems > fruits. As a whole, abundances of the examined trace metal(loid)s varied with elements species as well as samples, which occurred apparently due to the variations of parent materials of soil and the excessive use of agrochemicals and pesticides for banana cultivation. Trace elements in soils exhibited moderate to high degree of contamination where Cr, Pb, Zn, Cd and As in soils were mainly originated from anthropogenic activities. Considering health risks of measured metal(loid)s owing to the consumption of banana fruit, both non-cancer and cancer risks were perceived due to As contamination in the study area.
Analysis of Drought Coping Strategies in Northern Ethiopian Highlands
Authors: Gidey Eskinder , Mhangara Paidamwoyo , Gebregergs Tirhas , Zeweld Woldegebriel , Gebretsadik Haftamu , Dikinya Oagile , Mussa Said , Zenebe Amanuel , Girma Atkilt , Fisseha Girmatsion , Addisu Alemu , Nasir Jemal , Tesfaye Zeleke , Birhane Emiru 
Published: March 2023

Abstract
Drought is one of the most damaging climate–induced threats impacting the lives of many people every year. Proactive and reactive drought coping and adapting mechanisms enable farmers to be resilient against climate induced drought and improve the current disaster preparedness and early warning systems in the drylands. The aim of this study was to assess proactive and reactive farmers’ drought adaptation & coping strategies at household level in Raya valley in southern Tigray, Ethiopia. Agro–climatological based 246 households were sampled from the lowlands, midlands and highlands. Multinomial logit model was used to identify best drought coping strategies. Respondents had mild to extremely severe drought in the last three decades. The association between the various drought severity and household heads were significant (chi2= 9.861, df=3, p < 0.05). Pasture collection and saving, soil and water conservation, and weather prediction information to adjust saving and farming system were proactive drought adaptation and coping strategies. Livestock Feeding with roasted cactus cladode, small business loans, livestock selling, productive safety–net programme, and food consumption reduction were the major reactive drought adaptation and coping strategies. The proactive and reactive drought coping and adaptation strategies identified in this study should be used to improve the current disaster preparedness and early warning systems monitoring and evaluation in the face of climate and weather extreme related impacts of climate variability and change.
Identification of asymptomatic vertebral compression fracture using a novel shape-based algorithm
Authors: Nguyen Huy G. , Nguyen Hoa T. , Nguyen Linh T.T. , Tran Thach S. , Ho-Pham Lan T. , Ling Sai H. , Nguyen Tuan V. 
Published: March 2023

Abstract
Background: Vertebral fracture is both common and serious among adults, yet it often goes undiagnosed. The aims of this study were to develop a shape-based algorithm (SBA) for the automatic identification of vertebral fractures.
Results: At the person level, the SBA achieved a sensitivity of 100% and specificity of 61% (95% CI, 51-72%). At the vertebral level, the SBA achieved a sensitivity of 84% (95% CI, 72% to 93%), a specificity of 88% (95% CI, 85% to 90%). On average, the SBA took 0.3 seconds to assess one X-ray.
Conclusions: The SBA developed here is a fast and efficient tool that can be used to systematically screen for asymptomatic vertebral fractures and reduce the workload of healthcare professionals.
Methods: The study included 50participants whose plain thoracolumbar spine X-rays (n = 144) were taken. Clinical diagnosis of vertebral fracture (grade 0 to 3) was made by rheumatologists using Genant's semiquantitative method. The SBA algorithm was developed to determinethe ratio of vertebral body height loss. Based on the ratio, SBA classifies a vertebra into 4 classes: 0=normal, 1=mild fracture, 2=moderate fracture, 3=severe fracture). The concordance between clinical diagnosis and SBA-based classification was assessed at both personal and vertebral levels.
Spermatogenesis disorder and activation of BCL2/Bax apoptosis pathway in the rat testis after co-exposure to PM2.5 and gaseous pollutants: A ‎possible interaction with GATA4 and GATA6
Authors: Noshadirad Elnaz , Parivar Kazem , Zarandi Saeed Motesaddi , Mortazavi Pejman , yekta Batool Gorbani 
Published: March 2023

Abstract
The exposure of men to particulate matter and gaseous air pollution can ‎seriously threaten spermatogenesis. However, its specific molecular ‎mechanism is a mystery. This in-vivo rat model study has focused on the effect of coexposure to ambient fine particulate matter (PM2.5) plus gaseous pollutants on the oxidant/antioxidant system in the testis and its role in the changes of sex hormones, spermatogenesis, activation of apoptosis BCL2/BAX signaling pathway and GATA4 and GATA4 protein expression in the testis cells. Twenty-one male Wistar albino rats were ‎randomly divided into three groups including the control group (air with the standard condition) and the GAS (gaseous pollutants alone) and Gas + PM2.5 (PM2.5 plus gaseous pollutants) groups exposed for 3 months (4 days a week, 5 h a day). The results revealed that coexposure to gaseous pollutants and PM2.5 significantly decreased sperm motility, sperm count, and the Johnson score, and increased sperm mortality and sperm DNA fragmentation. Also, in the Gas + PM2.5 group, the levels of testosterone and FSH in serum and the activity of superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPX) in the testis significantly decreased, while the level of malondialdehyde (MDA) increased compared to the control group. The expression of BCL2, GATA4, and GATA6 proteins in the testis significantly decreased in the Gas + PM2.5 group, while Bax protein expression increased compared to the control group. Altogether, coexposure to ambient PM2.5 plus gaseous pollutants could induce oxidative stress in the testis and decrease hormone secretion and apoptosis in sperms via activating BCL2/BAX pathway and possible crosstalk with GATA 4 and GATA 6 proteins.
Effect of honey bee forage plants in Tunisia on diversity and antibacterial potential of lactic acid bacteria and bifidobacteria from Apis mellifera intermissa and its products
Authors: Ben-Miled Houda , Semmar Nabil , Castellanos Miguel Sautié , Ben-Mahrez Kamel , Benoit-Biancamano Marie-Odile , Réjiba Samia 
Published: March 2023

Abstract
Lactic acid bacteria and bifidobacteria (LAB & Bifido), isolated from the gastrointestinal tract of Apis mellifera intermissa (BGIT), honey (H), propolis (P) and bee bread (BB) of hives set in different vegetations (wildflowers, caraway, orange blossom, Marrubium vulgare, Eucalyptus and Erica cinerea), were subjected to analysis of their antibacterial potential. Isolates able to inhibit Staphylococcus aureus were selected and identified with MALDI-TOF MS leading to 154 strains representing 12 LAB & Bifido species. Lactiplantibacillus plantarum, Pediococcus pentosaceus and Enterococcus faecalis were predominantly found in all matrices. BGIT showed the highest LAB & Bifido diversity with exclusive occurrences of five species (including Bifidobacterium asteroides and Limosilactobacillus fermentum). Honey was the second origin harboring an important variety of LAB species of which Apilactobacillus kunkeei and Enterococcus mundtii were characteristic of both H and BGIT. Principal components analysis revealed associations between antibacterial activities of LAB & Bifido, matrices and honey bee forage plants. Inhibition trends of S. aureus and Citrobacter freundii were highlighted with: Lactiplantibacillus plantarum from BGIT, P, H of bees feeding on Erica cinerea; Pediococcus pentosaceus from BGIT, P, BB associated with Erica cinerea; and Bifidobacterium asteroidesfrom BGIT/orange blossom system. However, Enterococcus faeciumassociated with BGIT/Eucalyptus system antagonized Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa and Acinetobacter baumannii. Our findings highlighted noteworthy effects of bee forage plants on the antibacterial activity of LAB & Bifido. Our approach could be useful to identify multiple conditions promoting antibacterial potency of LAB & Bifido under the combined effects of feeding plants and living matrices.
Prevalence of Respiratory Failure And Associated Factors In Adult Intensive Care Unit of Saint Paul’s And Addis Ababa Burn, Emergency And Trauma Hospital, Ethiopia 2020
Authors: Abebe Kindalem Gebeyehu , Koster Yohannes , Bimrew Melke 
Published: March 2023

Abstract
Background: Severe respiratory failure is a common reason for admission to the intensive care unit that occurs for several reasons, including pulmonary disease, neuromuscular disease, shock and the necessity for airway protection or temporary breathing support after major surgery. For patients with ARF, mechanical aeration is the cornerstone of management.
Objective: to assess the prevalence of respiratory failure and associated factors among patients admitted the adult intensive care unit of Saint Paul’s Millennium Medical College and Addis Ababa Burn, Emergency and Trauma hospitals Addis Ababa, Ethiopia, 2020.
Method: An institution based retrospective cross-sectional study was conducted from August 26 to September 25, 2020. Among a total of 2198 population, 384 samples were selected using systematic random sampling. A multivariable logistic regression analysis was used to identify predictors of respiratory failure using odds ratio, 95% confidence interval, and p-value < 0.05 to be considered as significant.
Result: The prevalence of respiratory failure in this study was 139(36.2%).The variables which were significantly associated with respiratory failure were, patients age >50 (AOR =4.88(95%CI: 2.1, 11.4),Duration of stay at intensive care unit >15 days (AOR=0.24(95%CI: 0.086, 0.65), prolonged obstructive pulmonary disease (AOR=2.3 (95%CI: 1.98, 4.79),Asthma (AOR=0.23(95%CI: 0.087, 0.6) , sepsis (AOR= 0.43 (95% CI:0.2,0.94) , cardiac disease (AOR= 3.01(95%CI: 1.36, 6.66)), Human Immune Deficiency Virus (AOR=4.3(95%CI: 1.34, 13.92) and trauma (AOR= 2.93(95%CI: 1.36, 6.35).
Conclusion: The prevalence of respiratory failure was high. Multiple factors influence the development of respiratory failure. Older age, cardiac disease, Human Immune Deficiency Virus and trauma were at risk of developed respiratory failure Therefore, Health care professionals, policy makers and other concerned bodies should give emphasis to the factors that contribute to the development of respiratory failure. They should give priority especially for older, HIV, cardiac, and trauma patients to provide easily accessible and quality care.
Does the rising position of the GVCs increase the domestic value added rate in exports of Chinese heterogeneous enterprises?
Authors: Liu Guoguang , Gao Jing 
Published: March 2023

Abstract
Our paper builds the model on the basis of past literatures to express the relationship between the both height and depth of Global Value Added Chains(GVCs) and the domestic value added in exports (the DVAR in exports) of Chinese heterogeneous enterprises. The World Input-Output table (WIOD) is used to measure the industry upstream degree, which is combined with the Chinese Customs database in order to achieve the indicator of the GVCs. What’s our marginal innovation is that this paper defines the height of the enterprises’ Global Value Chains(GVCs) by the distance from the export upstream degree to the import downstream degree, extending from the industrial level to the enterprise level. The research shows that the higher position embedded in the GVCs, the more an enterprise can promote the DVAR in exports. The closer the enterprise is to the world's forefront division of labor, and the deeper it is embedded in GVCs, the more it can promote the DVAR in exports. Moreover, the higher import quality, the larger import scale and the more import downstream degree, the more the DVAR in exports will decrease. Comparing with general enterprises, processing enterprises have greater import downstream degree leading to the reduction in independent R&D and key components, so improving the position of GVCs cannot significantly improve the DVAR in exports. Although high-tech enterprises rely heavily on imports of core technology and key components with greater import downstream degree , they can improve the DVAR in exports through improving the height of GVCs. From the mechanism test, we can know that improving the height of GVCs can indirectly promote the DVAR in exports by improving the total factors productivity(TFP), reducing the import scale of intermediate goods and low-end manufacturing industry agglomeration.
JEL Classification: E24, F16, L16.
Situation Analysis of Population Level Interventions Targeting Risk Factors for Diabetes Mellitus and Hypertension Implemented in Rwanda, Malawi, and South Africa: A Desk Review
Authors: Phiri Tamara , Nganabashaka Jean Pierre , Uwimana-Nicol Jeannine , Burns Jake , Chapotera Gertrude , Rulisa Stephen , Young Taryn , Rehfuess Eva , Tumusiime David 
Published: March 2023

AbstractBackgroundThe prevalence of non-communicable diseases in low- and middle-income countries is increasing. Hypertension and diabetes mellitus share four main risk factors namely tobacco use, harmful alcohol consumption, unhealthy diet, and physical inactivity. In this desk review, we analysed existing interventions targeted at the above risk factors in Rwanda, Malawi, and South Africa. We compared existing interventions with recommended WHO ‘Best-Buys’ interventions.MethodsDocuments were sourced directly from stakeholders or retrieved online. We designed a data extraction template and grouped interventions under the four risk factors. Based on the WHO Strategy for Diet, Physical Activity and Health, each intervention was analyzed under three categories - supporting policies, supporting programs, and enabling environment.Results2633 documents were screened across the three countries. 72 documents were included in the review. All three countries had a national NCD policy. Rwanda had the largest number of interventions on physical activity. It was also the only country with a public smoking ban in place. Interventions on diet in Rwanda largely addressed undernutrition rather than risk factors for diabetes mellitus and hypertension. There was no alcohol policy. South Africa had the largest number of interventions targeting unhealthy diet. A policy on alcohol was in place in addition to a liquor act which regulated the purchase and marketing of alcohol. There were designated days to promote physical activity, but no structured nationwide programs. There were multiple initiatives to promote smoking cessation in designated areas such as schools and workplaces. Malawi had developed an alcohol policy. Diet programs largely focused on curbing undernutrition in school going children rather than NCDs. There were no policies on salt restriction or sugar sweetened beverages. There were no interventions targeted at tobacco smoking or structured physical activity programs. In all three countries, there were more policies than programs to implement the said policies.ConclusionAll three countries had responded to the NCD burden through overarching NCD programs and policies. There were gaps amongst the three countries in the breadth of interventions addressing each of the risk factors for diabetes mellitus and hypertension namely tobacco use, harmful alcohol consumption, unhealthy diet, and physical inactivity.
Mammal depletion processes in a UNESCO biosphere reserve: an integrative analysis of population viability
Authors: Mande Claude , Moore Jennifer F. , de Perre Frederik Van , Laudisoit Anne , Butynski Thomas M. , Cakenberghe Victor Van , Baelo Pascal , Gembu Guy-Crispin , Verheyen Erik 
Published: March 2023

Abstract
Many tropical biosphere reserves face the problem of overexploiting biological resources, which is a major cause of biodiversity loss. We used an integrative approach, combining camera trapping and bat trapping in diverse habitats over multiple surveys in Yangambi Biosphere Reserve, Democratic Republic of the Congo. We investigated whether species-level traits of volant and nonvolant mammals, as well as key features of their habitats, can predict effects on species detectability and occupancy, and thus on community-level species richness. We applied single-season occupancy models using multi-species data for camera trap and bat trap datasets. We found a positive effect of denser woodlands on occupancy estimates over 6480 camera-days. Average adult body weight and whether species were group-living negatively influenced species detection estimates. Species richness and body size assemblages approximated marginal rainforest diversity. This included small-bodied, generally high-hunting-resilient arboreal and terrestrial species. During 324 trap-nights, site location was the main determinant of habitat occupancy at the community level. Occupancy estimates were not, however, directly linked to variables measured in different stands. This may be a consequence of habitat patterns at larger spatial scales, which require additional data to clarify. Species-level characteristics that might influence detection estimates were not, however, included in the parsimonious output of the model used. Our findings indicate specific mechanisms triggering mammalian impoverishment above a critical size that may drive ecological changes. Thanks to certain life-history traits, bats can compensate for some of the lost services previously provided by large mammals, thus contributing to the maintenance of biodiversity dynamics.