bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization of Shear Wall location in C Shaped Reinforced Concrete Framed Building subjected to earthquake loading
Authors: Banerjee Rajiv , Srivas J. B. 
Published: August 2022

Abstract
Shear wall provide large strength and stiffness to buildings in the direction of their orientation, which reduces sway of the building significantly and thereby reduces damage to the structure. When walls are situated in advantageous positions in a building, they may be very efficient in resisting lateral loads originating from wind or earthquakes. A framework is proposed to obtain the optimum location of shear wall for the ‘C’ shaped structure such that the torsional effect arising in the structure due to its plan irregularity is minimized. The proposal is based on the selection of optimum location that converges to the optimum structural and engineering demand parameters for a 'C' shaped structure with a fixed length of shear wall. A G + 15 story structure is considered for an illustrative example of the framework considering fourteen models of shear wall location for a ‘C’ shaped structure with a fixed length of shear wall (14.5% wall to floor area ratio). The analytical results of each model have been compared with that of bare frame model in terms of base shear, peak story displacement, peak story drift, static eccentricity, time period and torsional moment, and the optimum model is reported. The proposed framework as well as the presented example is expected to serve as the guideline for deciding the optimum location of shear walls for the ‘C’ shaped structure.
Viscoelastic particle encapsulation using a hyaluronic acid solution in a T-junction microfluidic device
Authors: Giudice Francesco Del , Jeyasountharan Anoshanth 
Published: August 2022

Abstract
The encapsulation of particles and cells in droplets is highly relevant in biomedical engineering as well as in material science. So far, however, the majority of the studies in this area have focused on the encapsulation of particles or cells suspended in Newtonian liquids. We here studied the particle encapsulation phenomenon in a T-junction microfluidic device, using a non-Newtonian viscoelastic hyaluronic acid solution in phosphate buffer saline as suspending liquid for the particles. We first studied the non-Newtonian droplet formation mechanisms, finding that the data for the normalised droplet length scaled as the Newtonian ones. We then performed viscoelastic encapsulation experiments, where we exploited the fact that particles self-assembled in equally-spaced structures before approaching the encapsulation area, to then identify some experimental conditions for which the single encapsulation efficiency was larger than the stochastic limit predicted by the Poisson statistics.
Inhibiting phase drift in multi-atom clocks using the quantum Zeno effect
Authors: Shringarpure S. U. , Franson J. D. 
Published: August 2022

Abstract
The accuracy of an atomic clock depends in part on the bandwidth of the relevant atomic transitions. Here we consider an ensemble of atoms whose transition frequencies have been independently perturbed by environmental effects or other factors. We consider the possibility of using the quantum Zeno effect to lock the relative phase of the atoms, which would decrease their effective bandwidth by a factor of \(1/\sqrt N .\) We analyze an example in which the quantum Zeno effect can be used to lock the relative phase of a pair of atoms, after which the elapsed time can be determined. Practical applications may require \(N>>1\) in order to achieve a good signal-to-noise ratio.
Health-related behavioral changes and incidence of chronic kidney disease: The Japan Specific Health Checkups (J-SHC) Study
Authors: Kimura Hiroshi , Asahi Koichi , Tanaka Kenichi , Iseki Kunitoshi , Moriyama Toshiki , Yamagata Kunihiro , Tsuruya Kazuhiko , Fujimoto Shouichi , Narita Ichiei , Konta Tsuneo , Kondo Masahide , Kasahara Masato , Shibagaki Yugo , Watanabe Tsuyoshi , Kazama Junichiro J 
Published: August 2022

Abstract
The transtheoretical model (TTM) is a commonly used model of health-related behavioral change. However, the practical effect of using this model for chronic kidney disease (CKD) self-management remains unclear. This study aimed to investigate the association between stages of change for lifestyle behavior and the incidence of CKD in the general Japanese population. A retrospective cohort study was conducted among 178,780 non-CKD participants aged 40–74 years who underwent annual health check-ups for two consecutive years between 2008 and 2009. Health behavior change was determined using questionnaires based on the TTM, which consists of five stages of change (precontemplation, contemplation, preparation, action, and maintenance). The exposure of interest was the change in stages between two years. Participants were categorized into 3 groups ‘improved’, ‘unchanged’, or ‘deteriorated’. The association between the change in stages and the incidence of CKD was examined using logistic regression analysis. After one year of follow-up, 20.0% of participants developed CKD. Participants in the deteriorated group showed a significantly higher risk of CKD incidence than in the improved group. Promoting the stage of change for healthy lifestyle behaviors evaluated by the TTM was associated with a risk reduction for the incidence of CKD.
Anti-Diabetic and Antihyperlipidemic Potential of Combined Melatonin and Garlic in Nicotinamide-Streptozotocin Induced Diabetic Mice
Authors: Alhindi Yosra Zakariyya 
Published: August 2022

Abstract

Background The traditional antidiabetic medications have limitations in terms of safety, efficacy and cost. So, it is critical to investigate natural or herbal remedies that can overcome these obstacles. Melatonin and garlic separately have showed evidence of multiple therapeutic effects towards diabetic subjects. Objective To investigate the anti-diabetic and hypolipidemic effects of the combination of low doses of melatonin and garlic in nicotinamide-streptozotocin (NA/STZ)-induced diabetic mice. Methods 48 mice were randomly divided into six groups including control (C), diabetic (D), glibenclamide 5 mg/kg (D + GLC), melatonin 10 mg/kg (D + M), garlic extract 100 mg/kg (D + G) and combined melatonin and garlic (D + M + G). All treatments were given orally daily for 8 weeks after induction of hyperglycemia by STZ/NA. Food intake, body weight, fasting blood glucose, oral glucose tolerance test (OGTT), serum insulin, lipid profile as well as serum IL-6 and TNF-ß were estimated. Results Combined melatonin and garlic resulted in 37.2% reduction in fasting blood-glucose levels with amelioration in OGTT (p < 0.05). Also, M + G increased serum insulin level (25.3%), improved lipid parameters and reduced serum levels of IL-6 and TNF-ß (p < 0.05). Conclusion These results indicate that the combination of melatonin and garlic possessed a beneficial potential impact in diabetic mice. The effect of the two drugs together was comparable to that of glibenclamide, which enhances the possibility of using one or both as adjuncts to the traditional diabetes drugs to reduce their doses.
Barriers and Interventions on the way to Empower Women through Financial Inclusion A Two Decades Systematic Review (2000-2020)
Authors: Saluja Omika Bhalla , Singh Priyanka , Kumar Harit 
Published: August 2022

AbstractPurpose This study aims to reduce ambiguity in theoretical and empirical underpinning by synthesizing various knowledge concepts through a systematic review on barriers and interventions to promote financial inclusion of women. Methodology We have used the PRISMA approach to explain various inclusions and exclusions extracted from Scopus & WOS databases and backward and forward search of important studies. Collaborative peer review selection with a qualitative synthesis of results was used to explain various barriers and interventions in financial inclusion that affected women's empowerment in the period 2000-2020. Interpretation Out of 1740 records identified, 67 studies were found eligible for detailed investigation. The pathway modulated had limitations and benefits of WOS and Scopus data. This study has identified patriarchy structures, psychological factors, low income/wages, low financial literacy, low financial accessibility and ethnicity as six prominent barriers and government & corporate programs/policies, microfinance, formal saving accounts & services, cash & asset transfer, self-help groups and digital inclusion as six leading interventions to summarize the literature and highlight its gaps. Originality The surrounding literature is vast, complex and difficult to comprehend, necessitating frequent reviews. But, due to the sheer size of the literature, such reviews are generally fragmented focusing only on the factors causing the financial exclusion of women while ignoring the interventions that have been discussed all along. Filling up this gap our study attempts to provide a bird's-view to systematically connect all the factors as well as mediations found in past studies with the present and future.
Determinant of Tax Evasion of Category “A” Taxpayers in East Addis Ababa
Authors: Mengstu Moges 
Published: August 2022

Abstract
Tax revenues are important income sources for governments in most countries. because of the shortage of full tax compliance, government budgets are unbalanced in most countries, and therefore the gap between revenue and expenditure is increasing. the main question that was trying to answer during this paper was “why do taxpayers evade taxes?” The study was designed to spot the determinants of evasion (focusing on category “A”) on government income in East Addis Ababa. A structured questionnaire was accustomed collect data from a sample of 371 taxpayers who were selected by employing a non-random sampling technique. A binary logistic regression model was employed to research the info and therefore the results of the study revealed that there's a statistically significant association between evasion and eight determinant variables (tax education, service quality, tax rate, income level, and fairness of legal system, financial Constraint, audit, and penalty). evasion has positively suffered from the rate, income level, audit, and fairness of the legal system and is negatively influenced by financial Constraints, tax education, service quality, and penalty. supported the finding of the study the subsequent policy recommendations are forwarded. These are the government should reduce the rate, and therefore the tax delivery system should be automated to make sure efficiency and quality delivery among money others.
A Satellite-linked Tag for the Long-term Monitoring of Diving Behavior in Large Whales
Authors: Palacios Daniel M. , Irvine Ladd M. , Lagerquist Barbara A. , Fahlbusch James A. , Calambokidis John , Tomkiewicz Stanley M. , Mate Bruce R. 
Published: August 2022

Abstract

Despite spending most time underwater, the technology in use to track whales over large geographic ranges via satellite has been largely limited to locational data, with most applications focusing on characterizing their horizontal movements. We describe the development of the RDW tag, a new Argos-based satellite telemetry device that incorporates sensors for monitoring the movements and dive behavior of large whales over several months without requiring recovery. Based on an implantable design, the tag features a saltwater conductivity switch, a tri-axial accelerometer, and an optional pressure transducer, along with onboard software for data processing and detection of behavioral events or activities of interest for transmission. We configured the software to detect dives and create per-dive summaries describing behavioral events associated with feeding activities in rorqual whales. We conducted a validation by proxy of the dive summary and event detection algorithms using field data from a medium-duration archival tag. We also conducted a simulation exercise to examine how the expected data recovery would vary under different dive behavior scenarios and compared those results to empirical values from field deployments of the RDW tag on blue ( Balaenoptera musculus ) and humpback ( Megaptera novaeangliae ) whales. The dive summary algorithm accurately reported dive depth and duration, while the accuracy of the lunge-feeding event detection algorithm was dependent on the precision of the accelerometer data that was used, with a predicted accuracy of 0.74 for correctly classifying feeding dives from 1/64-G precision data and 0.95 from 1-mG precision data. Simulated data recovery was lower with sparser transmission schedules, shorter mean dive durations, and lower rates of successfully received transmissions. Empirical data recovery was lower than expected from the simulation, suggesting the effect of additional factors like data gaps. By measuring key aspects of the per-dive behavior of large whales over multi-month timescales of movement, the RDW tags provide the ability to monitor previously unobservable behaviors across entire geographic ranges, extending the applications of satellite telemetry devices to new areas of whale physiology, behavior, ecology, and conservation.
A high-resolution projected climate dataset for Vietnam: Construction and preliminary application in assessing future change
Authors: Tran-Anh Quan , Ngo-Duc Thanh , Espagne Etienne , Trinh-Tuan Long 
Published: August 2022

Abstract
This study generates a daily temperature and precipitation dataset over Vietnam at a high resolution of 0.1° for the historical period 1980–2005 and the future period 2006–2100 under four representative concentration pathway (RCP) scenarios, namely RCP2.6, RCP4.5, RCP6.0, and RCP8.5. The bias correction (BC) and spatial disaggregation (SD) method is applied to the outputs of 31 global climate models (GCMs) of the Coupled Model Intercomparison Project Phase 5 (CMIP5) to create the new dataset called CMIP5-VN. To guide the BC and SD steps, gridded temperature and precipitation data interpolated from daily observations of 147 and 481 stations respectively are used. Results with the CMIP5-VN show that warming over Vietnam is projected to continue till the end of the 21st century under all four RCPs. The average temperature is projected to increase by 1.3±0.52 °C under RCP2.6 and by 3.85±0.85 °C under RCP8.5 between 2080–2099 and 1986–2005. The future increase is more intense in the northern regions than in the south and higher in summer than in winter. Precipitation is projected to increase by 1.16±7.1% under RCP2.6 and by 4.41±9.2% under RCP8.5. In Central Vietnam, there is a consistent rainfall increase in the future rainy season.
Biological contact oxidation and an artificial floating island for black odorous river purification
Authors: Jia Junzuo , Huang Cong , Huang Yongbing , Huang Fuyao , Xu Jiefei , Ni Shang , Li Zhipeng 
Published: August 2022

Abstract
Due to destruction caused by urbanization and anthropogenic activities, various methods for treating black odorous rivers have been proposed. Herein, a treatment scheme was put forward for a black odorous river in Dongguan City, Guangdong Province. The river was treated using composite artificial floating island and improved biological contact oxidation processes as the core, supplemented by source control, substrate purification, and water ecosystem construction. The transparency, dissolved oxygen, ammonia nitrogen (NH3-N), and total phosphorus (TP) of the water body met the China Surface Water Environmental Quality Standard (GB3838-2002) V. The oxidation–reduction potential was remarkably improved and the black odor phenomenon was eliminated. The composite artificial floating island had the highest TP removal rate of 38.30%, while the improved biological contact oxidation process had the highest NH3-N removal rate of 43.08%. The process is effective in improving the quality of black odorous rivers and has high applicability; thus, the process provides a reference for the treatment of other black odorous water bodies.
Performance of pilot scale constructed wetland as ecological practice for domestic wastewater treatment in an arid climate – Algeria
Authors: Bekkari Naceur Eddine , Amiri Khaled , Hadjoudj Moussa 
Published: August 2022

Abstract
The objective of this study was to investigate the potential for pollutant removal in a pilot-scale horizontal flow polyculture constructed wetland functioning in an arid region during different seasons. The analyzed system is located in the southeast of Algeria, where the climate is arid. During the research, 32 samples of sewage were collected from both the inflow and the outflow of the constructed wetland (CW). The effluent Biological Oxygen Demand (BOD5), Chemical Oxygen Demand (COD), Total Suspended Solid (TSS), Ammonia-Nitrogen (NH4-N) and Ortho-Phosphate-Phosphorus (PO4-P) from all of the treatments were significantly lower than the influent and had a removal efficiency of 71.83, 73.75, 82.77, 80.29 and 59.49% respectively. The results showed that pollution removal efficiency in the tested CW system was affected by the season (air temperature and sunlight hours). It was observed that the removal rate of pollutant indicators was higher in summer and autumn compared to winter and spring. Finally, these findings confirmed that CW with polyculture would be an excellent candidate for treating domestic wastewater in rural settlements under arid environments.
LIVES IN DEBT AND DISTRESS: A CASE STUDY ON INDEBTEDNESS OF FARMERS IN THE DRY ZONE OF HARYANA STATE, INDIA
Authors: Jakhar Babloo , Kait Rohtas , Kumar Vijay 
Published: August 2022

The study has been conducted to measure the extent and burden of debt on farmers. The study has been conducted to measure the extent and burden of debt on farmers. The study revealed that an average amount of debt per sampled farmer, per owned acre and per operated acre is rupees 491975, 70838 and 62775 respectively. The real burden of debt is very high. Institutional as well as non-institutional sources played main role in loan disbursement to farmers. One third amount of loan is still being taken for non-productive purposes. <span style="text-decoration: underline;">Conclusions:</span> Farmers are trapped under debt. They are not in situation to rid of from indebtedness. Because, small size of land holding by ownership, non-productive loans and high rate of interests charged by non-institutional sources are the main causes of their indebtedness.
DEEP REVIEW ON ALOPECIA AREATA DIAGNOSIS FOR HAIR LOSS-RELATED AUTOIMMUNE DISORDER PROBLEM
Authors: SAYYAD SHABNAM , MIDHUNCHAKKARAVARTHY DIVYA , SAYYAD FAROOK 
Published: August 2022

Lots of women all over the globe are affected by thinning hair, and the number of females suffering from the disease is growing per year. Another important component in the development of thinning hair is genetics. One of the most important goals is to make a clinical condition. For example, in the area of medicine, categorization is critical since one of the primary goals of the doctor is to determine whether or not a patient suffers from an illness. Alopecia areata is a kind of chronic illness that causes baldness in the affected region. AA may cause baldness for a variety of causes thus, testing may be essential to confirm if it is the source of the loss of hair. Machine learning approaches have shown promise in a variety of fields, including dermatology, and may be useful in identifying alopecia areata for better prediction and diagnosis. Proper detection of an illness is also influenced by the fluctuating character of illness signs. Deep learning algorithms for identifying hair loss levels in males using facial pictures in this research. In this situation, a special training database, including face photos with varying degrees of baldness, has been generated. Furthermore, despite the limited accessibility of hairs in such images, a matching approach for mechanically categorizing face images to design categorization tables of male baldness from the medical field is provided. The outcomes of the experiments demonstrate the potential and efficiency for medical, security, and business apps. Related work in machine learning for hair illness categorization has also been addressed. The main objective of this study to analyze several machine learning and deep learning strategies for the identification of alopecia as well as in humans, as well as to determine the accuracy of extracting features methodologies.
Diálogos no Cinema
Authors: Ribeiro de Sousa Luciene , Tereza Farias de Oliveira Catarina 
Published: August 2022

O artigo apresenta uma investigação que problematiza formas de ver e pensar a exibição de filmes para estudantes do 9º ano da rede pública municipal de Fortaleza. A pesquisa se desenvolveu junto ao projeto integração no Cuca (Centro Urbano de Cultura, Arte, Ciência e Esporte) na Barra do Ceará. Ao identificarmos que esse projeto colocava o cinema como parte das suas atividades educativas, nos propomos a observar como esse uso acontecia. A pesquisa envolve dois momentos: um primeiro que observa o uso de audiovisual e, um segundo, no qual propomos oficinas com os (as) adolescentes. A metodologia de pesquisa escolhida foi a etnografia militante, utilizando oficinas como estratégia de intervenção. Os resultados da pesquisa nos fizeram compreender que a exibição de cinema para adolescentes é fundamental em práticas educativas, mas precisa ocorrer de forma planejada e criativa com dinâmicas que facilitem a participação e a expressão dos (as) educandos (as).
modelo cognitivo como proceso semiósico
Authors: Campos Arturo Morales 
Published: August 2022

Abordar el tema de las imágenes mentales resulta un tema arriesgado, pues, dentro de las neurociencias, existen posiciones que rechazan fuertemente tal fenómeno por ser subjetivo en extremo. Sin embargo, es algo que debe estudiarse bajo diferentes perspectivas teóricas. La semiótica puede ser una herramienta útil en este sentido y, de manera concreta, la semiosis, puesto que es un proceso cognitivo que, como se podrá sustentar, enlaza aspectos biológicos y culturales. En este trabajo, se establecerá un paralelismo entre imágenes mentales y modelos cognitivos para mostrar los componentes esenciales de estos últimos.
Kualitas Kimia Yoghurt Susu Kambing dengan Penambahan Ekstrak Jahe Merah (Zingiber officinale var. Rubrum)
Authors: Apriky Panca , Wanniatie Veronica , Qisthon Arif , Septinova Dian 
Published: August 2022

Penelitian ini bertujuan untuk mengetahui pengaruh dan persentase terbaik penambahan ekstrak jahe merah (Zingiber officinale var. Rubrum) terhadap kualitas kimia yoghurt susu kambing. Penelitian ini dilaksanakan pada September 2021 di Laboratorium Produksi Ternak, Jurusan Peternakan, Fakultas Pertanian, Universitas Lampung, dan Laboratorium Teknologi Hasil Pertanian, Politeknik Negeri Lampung. Rancangan percobaan yang digunakan adalah Rancangan Acak Lengkap (RAL) 5 perlakuan dengan 4 ulangan. Perlakuan yang diberikan yaitu kontrol (yoghurt susu kambing tanpa penambahan ekstrak jahe merah) (P0), yoghurt susu kambing dengan penambahan ekstrak jahe merah 1% (P1), yoghurt susu kambing dengan penambahan ekstrak jahe merah 2% (P2), yoghurt susu kambing dengan penambahan ekstrak jahe merah 3% (P3), dan yoghurt susu kambing dengan penambahan ekstrak jahe merah 4% (P4). Data yang diperoleh dianalisis menggunakan analisis ragam dengan taraf nyata 5% dan dilanjutkan dengan uji Beda Nyata Terkecil (BNT). Hasil penelitian menunjukkan bahwa penambahan ekstrak jahe merah berpengaruh nyata (P<0,05) terhadap kadar protein dan kadar lemak yoghurt susu kambing, tetapi tidak berpengaruh nyata (P>0,05) terhadap kadar air yoghurt susu kambing. Persentase terbaik penambahan ekstrak jahe merah terhadap kadar protein dan kadar lemak berturut-turut adalah 1% dan 2%.