bluuebunny/crossref_metadata_2025 huggingface dataset:
Fluidized Bed Drying of High Moisture Paddy in Two Stages
Authors: A. K. Thakur  , A. K. Gupta
Published: May 2024

Experimental investigations were carried for the determination of suitable rest duration and the stage; at which resting will provide better re-distribution of internal moisture in paddy grains subjected to fluidized bed drying. Incipient velocity was evaluated considering the drying conditions and the characteristics of the high moisture paddy. Intervening rest duration between first and second stage of drying; enhanced drying rate, reduced energy consumption and improved head rice yield. Single term diffusion based exponential model equation for infinite cylinder suitably fitted to first, rest and second stage drying data by applying non-linear regression procedure. Analysis of the moisture loss values during rest stages and the diffusivity values of the second stage drying suggested that the intervening rest should be given at a moisture ratio around 0.712 for a period of approximately 90 min for adequate redistribution of internal moisture during rest duration. Energy requirement can be significantly saved (9-58%) by providing rest durations (30-120 min) in comparison to the continuous drying. Rest stage did not give significant effect on head rice yield while rest durations had a significant effect. Rest duration of 120 min considerably improved the head rice yield when compared from the results of continuous drying.
Evaluation of Worker Exposure to Airborne Dust in Cotton Ginneries
Authors: V. G Arude  , S. K. Shukla  , T. S. Manojkumar
Published: May 2024

Airborne dust in cotton ginneries is a nuisance as well as a potential respiratory hazard. The workers in ginneries are subjected to vagaries of airborne dust pollution. Exposure to dust causes cough, cold, fever, breathing difficulties and may even lead to lung disorders if exposed for long term. Dust concentration in mg! m3 of PM 2.5 11m and PM 10 11m was measured at different workstations. Time weighed average (TWA) of airborne dust of PM 2.5 and PM10 was found up to 2.30 and 3.75 mg/m3 respectively in conventional ginneries. In automatic ginneries, workers are exposed to TWA of airborne dust levels of PM 2.5 and PM 10 up to 0.20 and 0.58 mg/m3 , respectively. The workers in all types of ginneries are exposed to dust concentrations above the permissible limits in all workstations. The thoracic dust and respirable dust concentration levels were observed above the permissible limits in all the workstations. Workers employed in automatic ginneries are comparatively less exposed to airborne dust than conventional and semi-automatic ginneries. Workers stationed at press house, pala house and at lint opener are subjected to higher levels of airborne dust.
Comparative Performance of Different Threshing Mechanisms on Pigeonpea Seed Quality
Authors: Shiv K. Lohan  , S. S. Jakhar  , R. R S. Kharb
Published: May 2024

A study was conducted to compare hammermill, spike tooth and raspbar threshing cylinders at 3 combinations of cylinder speeds (400, 450, 500 rpm) and concave clearances (5, 10, 15 mm) for assessing quality of threshed
pigeonpea seeds. Observations were recorded on the parameters namely, seed damage (%), threshing efficiency (%), standard germination (%) and electrical conductivity ()m mhos-1cm-1seed-1). Maximum seed damage (16.54%) was observed when threshing was done by hammermill cylinder with the cylinder speed of 500 rpm and concave clearance of5 mm. The threshing efficiency decreased (99 to 91 %) with decreasing the cylinder speed from 500 to 400 rpm and increasing the concave clearance from 5 to 15 mm. The minimum seed damage (3.5%) and maximum germination (82%) were found under low cylinder speed (400 rpm) and high concave clearance (15 mm) in raspbar and spike tooth threshing cylinder. The germination was found significantly and negatively associated with seed damage, threshing efficiency and electrical conductivity. The electrical conductivity of seed leachates increased as the cylinder speed increased and concave clearance decreased.
Nozzle Spacing on Sprayer Boom
Authors: Rohinish Khurana  , Shashi Kumar Singh  , Anoop Dixit
Published: May 2024

Agricultural sprayers are frequently used to spray pesticides on standing crops to avoid pest attack. Nozzles are placed on sprayer boom in such a way that the chemical is spread evenly over the plant canopy. The spacing between the nozzles on the boom of commonly used sprayers is quite speculative and not based on the type of nozzle, the discharge from the nozzle, operating pressure, height of the boom, etc. A computer program was developed to select appropriate spacing between the nozzles based on operating pressure, height, spray pattern, etc. The best-suited nozzle spacing was calculated on the basis of overlap of the spread patterns., Coefficient of Variation was calculated for the different levels of overlap of the spread patterns. Spacing for which the Coefficient of Variation was minimum was taken as the best suitable spacing for nozzles on the sprayer boom. The program was validated by using operational parameters of a Triple Action Nozzle with a hollow cone spread pattern. The nozzle was operated at working pressure of 4.0 kglcm2, at a height of 40 cm moving at the forward speed of2.5 km/h. The best spacing was found to be around 57 cm. The program was also used to find out the number of nozzles required for a given boom length and the total volume of chemical sprayed per hectare.
Analytical Appraisal of Energy Input Use in the Production of Maize in Punjab
Authors: Gursahib Singh Manes  , Surendra Singh
Published: May 2024

Maize is considered one among the options for diversification and is being mainly cultivated in zones 1and II of Punjab. The analytical appraisal of energy use and productivity status of farmers raising maize was carried out with the help of partial regression coefficients, Kopp's measure of technical efficiency and linear programming techniques. Use of energy through animal, seed and machinery in irrigated maize in zone 1and seed, machinery and area under the crop in zone II made a significant contribution in the production of maize. Increasing return to scale prevailed in irrigated maize in zone I and decreasing return to scale was observed in zone II. Wide variation and low technical efficiency rating of input use was observed in zone II. Using existing level of energy inputs available at farm, the yield of maize can be increased by 6.07 percent in zone I and 15.35 percent in zone II. Study revealed that the existing level of yield of maize in these respective zones could be achieved by reducing the energy input by 7.37 and 20.33 percent respectively in zones I and II over the actual use.
Ergonomical Evaluation of a Hand Operated Paddy Winnower by Women Workers
Authors: S.P. Singh  , L. P. Gite
Published: May 2024

A hand operated paddy winnower was developed by Central Rice Research Institute, Cuttack. The winnower was ergonomically evaluated using 12 subjects. Two women workers are required for the operation of this winnower, one for cranking the blower and other for feeding the threshed material and collection of grain. The mean heart rate of the women workers and their output were measured to evaluate the winnower. The mean heart rate of women workers during operation was found to be 112 beats/min. The energy expenditure rate in operation of the equipment was 10.7 kJ/min. The average output was found to be 242 kg grain/h and winnowing efficiency was found to be 88.36%. The equipment developed was found to be suitable for operation by women workers as the heart rate, work pulse value and energy expenditure rate are within the acceptable limits.
Estudio de las variaciones paleoambientales y paleomagnéticas en el holoceno tardío en la región pampeana argentina
Authors: Romina Valeria Achaga
Published: May 2024

El objetivo de este trabajo es llevar a cabo un análisis paleomagnético y paleoambiental a través de estudios de las propiedades de magnetismo de rocas y geoquímicas en una serie de registros sedimentarios de la región pampeana Argentina. Las secuencias sedimentarias se presentan como una buena fuente de información, ya que registran la variación de estos parámetros a lo largo del tiempo, lo que nos permite disponer de un patrón casi ininterrumpido de cambios paleomagnéticos y paleoclimáticos. La utilización de métodos magnéticos ofrece la ventaja de ser un enfoque sencillo y económico que a lo largo del tiempo ha demostrado su eficacia en la correlación de testigos sedimentarios, la reconstrucción de variaciones en el campo geomagnético y la identificación de indicadores paleoclimáticos. La elección estratégica de sitios de estudio es esencial para la reconstrucción de las variaciones del campo geomagnético en el pasado, especialmente teniendo en cuenta la limitada disponibilidad de registros en el Hemisferio Sur y su proximidad a la Anomalía del Atlántico Sur (AAS). Párrafo extraído de la tesis de posgrado a modo de resumen.
Studying the mechanical behavior of loess-cement mixtures and adopting a cement-soil cushion (CSC) as a shallow ground improvement solution for foundations laying on collapsible soils
Authors: Milev Nikolay , Ivanov Ivailo
Published: May 2024

In the context of Bulgaria's expanding construction sector, the northern region of the Danube Plain has encountered challenges associated with the subsidence of loess soils upon saturation, characterized by rapid settlement and self-compaction – also known as “collapse”. This phenomenon poses significant risks to construction projects, prompting extensive research into its causes and prevention. One widely adopted method for stabilizing loess soil foundations in construction is the use of cement-soil cushions (CSC). This study's primary objective is to explore and select an effective technology for constructing a suitable composition of a cement-soil (loess-cement) cushion beneath buildings’ foundations in Kozloduy, where the soil is collapsible loess.
Perancangan Sistem Informasi Akuntansi Penjualan Kredit Motor Pada Dealer PT Adira Finance
Authors: Andriani Fitri , Utami Dini , Saputri Restu Dian , Lestami Maris Dia , Rahmayani Mentari Tri Indah
Published: May 2024

Sistem akuntansi penjualan kredit yang dilakukan di PT. Dealer Motor Adira meliputi pengiriman barang, penagihan, pencatatan akuntansi dengan melibatkan bagian akuntansi atau fungsi yang terkait dan dokumen-dokumen yang digunakan. Sistem akuntansi di PT. Dealer Motor Adira pada dasarnya sudah baik, hanya saja belum begitu efektif, karena masih ada fungsi yang terkait merangkap lebih dari satu pekerjaan. Untuk itu perlu dikaji kembali tentang sistem yang digunakan sehingga fungsi yang terkait dapat berperan sesuai dengan tugasnya masing-masing, sehingga tidak ada penyalahgunaan dan penyelewengan dan hasilnya lebih efektif. Jurnal ini membahas pentingnya akuntansi dalam memantau arus keuangan dan penjualan perusahaan serta menurunkan risiko di masa depan. Penulis akan merancang sistem informasi akuntansi penjualan kredit untuk PT Adira menggunakan metode SDLC. Harapannya, rancangan ini akan membantu PT Adira dalam mengelola transaksi kredit motor secara lebih efektif. Dalam hal ini kami berharap hasil rancangan ini dapat berguna dan mempermudah PT. Adira dalam mengelola transaksi kredit motor.
Rancang Bangun Sistem Informasi Pemesanan Baliho Pada Toko Sikma
Authors: Nurfaizah Nurfaizah , Ginting Rini Antika Br , Rahmayani Mentari Tri Indah
Published: May 2024

Perkembangan teknologi informasi telah menjadi bagian integral dari berbagai sektor, termasuk bisnis, di mana perusahaan terus berusaha meningkatkan efisiensi operasional mereka. Toko Sikma, sebuah usaha yang bergerak dalam penjualan dan pencetakan berbagai desain, saat ini masih melakukan proses pemesanan secara tatap muka, yang dapat memakan waktu bagi pelanggan dan pihak toko. Studi ini bertujuan untuk merancang sistem informasi pemesanan baliho di Toko Sikma, memperkenalkan metode pemesanan online untuk meningkatkan efisiensi dan kepuasan pelanggan. Melalui penerapan metode pengembangan sistem yang terstruktur, seperti SDLC, dan penggunaan teknologi informasi, diharapkan sistem ini dapat memberikan manfaat dalam pengurangan waktu pemesanan, meningkatkan kepuasan pelanggan, dan meningkatkan efisiensi operasional toko secara keseluruhan. Dengan demikian, penelitian ini tidak hanya memberikan kontribusi pada pemahaman konseptual tentang sistem informasi pemesanan baliho, tetapi juga memiliki implikasi praktis yang dapat meningkatkan kinerja dan daya saing Toko Sikma di pasar.
Implementasi Metode Earliest Due Date (EDD) untuk Penjadwalan Produksi
Authors: Rahmah Gita Mustika , Fauziah Khofifah , Suroso Finna
Published: May 2024

PT Nusa Indah Jaya Utama merupakan perusahaan manufaktur yang bergerak di bidang manufacturing yang berfokus pada proses stamping komponen otomotif, memiliki empat bisnis utama yaitu stamping press, shearing plate, coating production, dan scrap market. Saat ini perusahaan menggunakan sistem make to order (MTO) untuk sistem produksinya sehingga proses produksi berjalan apabila ada pesanan dari customer. Dalam upaya meningkatkan kualitas pelayanan, perusahaan dituntut untuk memenuhi pesanan secara tepat waktu dan mutu produk sesuai dengan permintaan customer. Salah satu tugas Departemen PPC yaitu melakukan penjadwalan yang efektif untuk memenuhi target produksi yang ditetapkan. Sistem penjadwalan produksi saat ini terdapat masalah berupa target tak terpenuhi dikarenakan perusahaan belum mempertimbangkan prioritas pekerjaan, jatuh tempo pengerjaan serta kapasitas mesin yang tersedia. Oleh karena itu, diperlukan sistem informasi penjadwalan produksi dengan metode Earliest Due Date (EDD), sebuah metode yang menentukan prioritas pekerjaan berdasarkan tenggat waktu penyelesaian terpendek, dengan metode EDD ini target produksi berdasarkan deadline untuk masing-masing PO dapat tercapai. Sistem informasi penjadwalan produksi berbasis web menggunakan framework Codeigniter dan database MariaDB. Sistem ini akan membantu PT NIJU dalam mengelola manajemen data yang ada khususnya memudahkan proses penjadwalan produksi dengan cepat dan informatif dimana yang sebelumnya waktu penyelesaian produksi pada PT NIJU adalah 2,7 hari menjadi 0 hari.
Immediate Effect of Active Release Technique versus Foam Rolling on Hamstring Tightness in Computer Workers
Authors: Sunil Nayee Khushbu , Vaghasiya Apeksha
Published: May 2024

Background and need of research: In computer workers due to their prolonged sitting throughout the day can lead to various problems like tightness of muscle, decreased joint range of motion and decreased flexibility. As hamstring is a key component of flexibility in the lower body and it is more prone to get tightened. Due to prolonged sitting in Computer workers, the hamstring muscles are in shortened position (posterior pelvic tilt & knee 90° flexion) which causes the tightness of the hamstring muscles. Therefore, the objective of study is to find out the immediate effect of active release technique versus foam rolling on hamstring tightness in computer workers.
Methods: 32 computer workers with age of 20-35 years, were taken through purposive sampling technique and randomly divided in two equal groups. Group A received Active Release Technique and Group B received foam rolling. Active knee extension test was used to measure Pre and post intervention measurements. Ethical approval has been taken.
Result: For data analysis, SPSS Version 23 software was used. A Paired t-test was used for within-group analysis and showed a significant difference in Active Knee Extension for both groups. The unpaired t-test was used for between-group analysis, and it showed that ART has a superior effect on hamstrings tightness than the Foam Rolling. The significance level was kept at p<0.05.
Conclusion: This study concluded that ART is more effective than Foam Rolling in reducing hamstring tightness in computer workers.

Key words: Active Release Technique, Foam Rolling, Hamstring Tightness, Computer Workers.
Correlation Between Burnout Syndrome and Estimation of Aerobic Capacity in Resident Doctors
Authors: A. Bhandare Sushama , N Athole Yuvraj , N. Kataria Krupa
Published: May 2024

Background: The prevalence of Burnout syndrome has increased over the last few years. The syndrome is experienced by resident doctors, who treat mild to serious illnesses and have to handle emergencies. They have long working hours including surgeries. Work-related stress among healthcare professionals has become a serious health problem and it was found that higher levels of burnout syndrome impacted work capacity and cognition. It is important to analyze the correlation between burnout syndrome and aerobic capacity in resident doctors. This will help physiotherapists gain a more comprehensive analysis of the resident doctor’s health status and help to incorporate preventive intervention and control the risks of another exhaustion/stress-related syndrome.
Material and method: This cross-sectional study was conducted on 58 resident doctors including 42 males & 16 females. The Maslach burnout inventory scale was used to determine burnout syndrome, and 6 MWT was used to measure aerobic capacity. The statistical analysis was performed with Spearman’s correlation coefficient.
Result: The analysis revealed a statistically significant moderate negative relationship between the Vo2 max and EE (r = -0.521, p < 0.0005), a moderate negative relationship between the Vo2 max and DP (r = -0.429, p = 0.001), and a very weak positive relationship between the Vo2max and PA (r = 0.304, p = 0.020). This shows a correlation between a change in Vo2 max scores and mildly impacted personal achievement as well as moderate Emotional exhaustion and depersonalization.
Conclusion: The study thus concluded that participants with lower aerobic capacity showed a high degree of burnout. Therefore, this study concludes that there is a correlation between aerobic capacity and burnout syndrome in resident doctors.

Key words: Depersonalization(DP), Emotional exhaustion(EE), Personal accomplishment(PA), Maslach burnout inventory ( MBI).
The Relationship of Mother's Characteristics to Knowledge to Reduce Pain in The First Stage of Labor in the City of Balikpapan
Authors: YULIANTI NILA TRISNA
Published: May 2024

Background: Childbirth is a series of events where a baby is released from the mother's womb, followed by the release of the placenta and fetal membranes from the mother's body. One way of non-pharmacological management to reduce labor pain is with endorphin massage. Endorphin massage is a light touch/massage therapy that is quite important to give to pregnant women, in the time leading up to giving birth. This is because massage stimulates the body to release endorphin compounds which are pain relievers and can create a feeling of comfort.
Objective: To find out whether there is a relationship between maternal characteristics and endorphin massage to reduce pain in the first stage of labor in Balikpapan City
Method: The type of research used is descriptive quantitative with a cross sectional study design. The sample size was 50 respondents with the sampling method used was accidental sampling.
Results: There is no relationship between age group, occupation and education level on knowledge to reduce pain in the first stage of labor in Balikpapan city.
Conclusion: Respondent characteristics have no effect on respondent knowledge.

Key words: Endorphin Massage, Knowledge and First Stage Labor Pain
Paternal Parenting Styles and Sibling Relationships in Young Adults
Authors: Kodia Vidhi , Bapu K.G. Vigraanth
Published: May 2024

This correlational study investigates the relationships between paternal parenting styles and sibling warmth and conflict among young adults in India. Descriptive statistics, Spearman correlation analysis, and gender-specific analyses were employed to analyze data from 116 females and 92 males. Results indicate weak associations between paternal parenting styles and sibling relationship dimensions, with only the correlation between Authoritative parenting style and warmth reaching statistical significance. Gender differences were non-significant, suggesting homogeneity in perceptions across genders. Similarly, no significant differences were found based on education level or birth order. These findings contribute to understanding familial dynamics among young adults in India and underscore the nuanced nature of parental influences on sibling relationships.

Key words: paternal parenting styles, sibling relationships, young adults, gender differences, education level, birth order
Frugal Innovation Strategies and Supply Chain Performance of Food and Beverage Firms in South-South Nigeria
Authors: C. C. Ifekanandu , C. I. Ihuoma
Published: May 2024

This study explored frugal innovation strategies and supply chain performance of food and beverage firms in South-South Nigeria. It critically analyzed the dimensions of frugal innovation strategies (value innovation, cost cutting advancement and technological innovation) and relate them to supply chain performance measures (product availability, on-time delivery and supply chain flexibility) of food and beverage firms. The study applied the positivist research philosophy and correlational research design. The population of this study comprised 82 registered food and beverage firms in South-South Nigeria. The sample size consisted of 68 food and beverage firms in South-South Nigeria. The Taro Yamene’s formula was used to determine the sample size for the study. The sampling unit consisted of managers of the selected food and beverage firms in South-South Nigeria. A structured questionnaire was used for data collection in this study. The data collected were analyzed statistically while the Pearson Product Moment Correlation Coefficient (PPMCC) was used to test the formulated hypotheses. The SPSS software program version 24 was used to correlate the data collected on the study variables. The findings revealed that value innovation has a significant relationship with product availability, on-time delivery and supply chain flexibility of food and beverage firms. This study also revealed that cost cutting advancement has significant relationship with product availability, on-time delivery and supply chain flexibility of food and beverage firms. The study equally revealed that technological innovation has a significant relationship with product availability, on-time delivery and supply chain flexibility of food and beverage firms. Based on these findings, it was concluded that frugal innovation strategies such as value innovation, cost cutting advancement and technological innovation are significant predictors of supply chain performance of food and beverage firms in South-South Nigeria. Based on the findings and conclusion, it was recommended that food and beverage firms in South-South Nigeria should adopt frugal innovation strategies as it would improve their supply chain performance.
Women, Film and Politics in the Islamic Republic of Iran 1979-2005; A Perspective from Learning from Experience and Performance Theory
Authors: Sert Özlem , Oguz Sami
Published: May 2024

Images in popular culture provide essential information about the socio-political situation and the self-realisation of gender roles in society. The transformation of women characters in Iranian films after the 1980s has occupied a certain space in scholarship, however everyday self-experiences in the streets and its relation to self realization and women figures are barely included into the analysis. Based on learning from experience, affect and performance theory, this paper focesses on two prominent female stars of Iranian cinema: Niki Karimi and Hediye Tehrani as image transformers in a period of cultural evolution and the smile of women that fades away from the streets. The analysis begins with a general examination of the interaction between politics and culture through the main currents in Iranian cinema. In this part, a periodization of the post-revolution era in Iran is presented through cultural products, especially Iranian films such as the religious era, the war and post-war era, the pastoral era, and the critical era. The last part compares two famous women's images, Niki Karimi and Hediye Tehrani, and shows how this periodization helps to understand the changes in women’s self realization and body politics in everyday life after the revolution.
Traditional Vs Modern English Language Teaching Methods: Study Based on a Survey
Authors: Sharma Nishi , Manjari N Pranava , Joshi Himanshu
Published: May 2024

The study compares traditional and modern English language teaching methods and examines the prevalence and adoption of these methods by English language teachers. The sample consists of 100 English language teachers. The researchers use OLS regression, binary logistic regression and structural equation modelling to establish an association between adopting a particular language teaching method and the characteristics of the language teachers. Results indicate that experienced teachers prefer the social learning method, while less experienced teachers advocate the bilingual, experiential, and listening and observation methods. There are gender differences in accepting these language teaching methods. Female language teachers show an inclination towards the listening and observation method, whereas male teachers ardently favour the bilingual and experiential methods. Regression analysis reveals a higher probability of adoption of bilingual translation methods by non-English educational background teachers. Experienced teachers adopt the Social Learning Method, while less experienced teachers prefer experiential learning and bilingual translation methods more. Results of the path analysis using structural equation modelling indicate that the gender of the teachers mediates their educational background in the adoption of the particular language teaching method.
Wavelet frames in Sobolev space over locally compact abelian group
Authors: Dixit M. M. , Pandey C. P. , Devi Pratima
Published: May 2024

In this paper we construct wavelet frames for continuous and discrete wavelets on Sobolev space over abelian group. A necessary condition and sufficient conditions for wavelet frames in Sobolev space over Locally CompactAbelian Group are given. Moreover some important properties of continuous wavelet transform and corresponding wavelet Frames have been discussed
A Critical Analysis of Medicinal plants for Anti-Depressant action with their Phyto-Constituent and Mechanism of Action
Authors: Bhushan Mishra Shanti , Mishra Priya
Published: May 2024

Depression or stress refers to a state of sad feelings and loss of interest in pleasurable activities characterized by retardation of thoughts and actions, appetite and weight changes, restlessness as well as in sleep disturbance. All the current evidences implicate alteration in the firing pattern of a subset of biogenic amines in the central nervous system. There are adequate number of synthetic drugs used to treat depression as standard treatment for clinically depressed patient, however only 30% of patients respond satisfactorily to the existing medicines and the remaining do not attain full recovery. Many scientists are investigating on herbal drugs for mitigating this disorder that shown antidepressant properties by virtue of synergistic effect of their phyto constituents. In this review article we emphasize to give an outline of certain medicinal plants with their constituents and mechanism of action which have been explored for their antidepressant action.
Review of Alzheimer’s Disease’s Animal Model with it’s Pathophysiology and Drug Discovery
Authors: Pal Twinkle , Das Mayurika
Published: May 2024

Alzheimer disease (AD) chronic neurodegenerative disease. Beta amyloid and tau neuropathy associated with this disease. New drug therapy deals with AREA, DIED etc. The in vitro and in vivo study shows Aducanumab was the first treatment to address an underlying cause of the disease. This removes sticky depositions of amyloid plaques. Alzheimer's neuropathology the superfrontal cortex suffer from atrophy and loss of neurones, which occurs inflammation and deposition of amyloid plaques and bundles of connective tissue and abnormal set of protein fragments. The monoclonal part of the drug attacks the aggregated depositions. Gantenerumab & Solanezumab also are tested for curing for this disease. There much model like 2D and 3D and various cultural model by which the AD cure process can be reached. A neuron is unit of the brain function, which contains an excess amount of polyunsaturated (fatty) acids. It can react with ROS, which can deals with lipid peroxidation response and cell apoptosis, in addition, low glutathione to neurons and is major causes of oxidative stress injure Modelling has been formed by stem cells, vascularised organ. Advanced models are used to understand better neurodegeneration, and potential therapies. In this review we can say that the current progress of new therapeutics like lipid metabolism, inflammation, and disease customize genes to AD in preclinical and clinical research. It’seeming that higher dose are worked in AD patients but lower dose causes AREA. ARIA can successfully cured in most of the patients who engaged themselves in important tests without stopping the treatment.
A Overview on Lumpy Skin Disease: A Review
Authors: Moda Michi , Sharma Neha , Thakur Mansi , Sharma Isha , Sharma Kriti
Published: May 2024

Lumpy skin disease (LSD) is an economically devastating emerging viral disease of cattle and it is caused by the virus which belongs to the Capripoxvirus genus of the Poxviridae family. It is a transboundary illness with serious economic implications that affects cattles and water buffaloes. The illness has a high morbidity and low mortality are caused by arthropod-borne transmission. LSD has made its first appearance in India with a 7.1% morbidity rate among cattle. The disease typically manifests clinically as fever, anorexia, and distinctive nodules on the skin and mucous membranes of the mouth, nostrils, udder, genital, and rectum. Abortion, infertility, and occasionally death can also occur. On examination, nodules are frequently seen on the mucosa of the oropharynx, udder, genitalia, and rectum. The disease is endemic to countries in Africa and the Middle East, but it has recently begun to spread to Asia and other continents. Recently China and Bangladesh have been reported who shareboundary with India. For the first time, we have compiled a list of LSD epidemics that have occurred in Asian nations during the past ten years the disease's epidemiological situation is still unclear in India. It may be possible to stop the disease from spreading by vaccination and enforcing rigorous quarantine rules and vector control measures. This study seeks to summaries recent advances in epidemiology with a particular disease's etiology, transmission, clinical manifestations, diagnosis, and treatment and its transboundary dissemination. Due to poor conditions in farming communities and limited availability to efficient immunizations, the dissemination of capripoxviruses appears to be spreading. This is mostly caused by the Covid-19 pandemic's negative economic repercussions, the devastating sanctions imposed in endemic areas, the rise in both legal and criminal commerce in live animal and animal product, as well as the effects of global climate change.
Green Chemistry: A Sustainable Path to Environmental Responsibility and Innovation
Authors: D. Jain Sourabh , Awasthi Anuja , K. Gupta Arun
Published: May 2024

Green chemistry, also known as sustainable or environmentally benign chemistry, has emerged as a critical paradigm shift in the field of chemistry, with the primary objective of designing and implementing chemical processes and products that minimize environmental impacts. This review provides a comprehensive overview of the key principles, developments, and impacts of green chemistry. Review begins by discussing the fundamental principles of green chemistry, including the 12 principles established by Anastas and Warner, which serve as a foundational framework for sustainable chemical design. These principles emphasize the importance of waste prevention, the use of renewable feedstocks, and the reduction of toxicity in chemical processes. Subsequently, the review explores the significant developments and innovations in green chemistry, such as the design of more sustainable solvents, catalytic processes, and the application of nanotechnology. Green chemistry has not only led to the development of environmentally friendly alternatives but has also reduced the environmental footprint of established chemical processes. The environmental and societal impacts of green chemistry are discussed, highlighting how the adoption of sustainable practices has led to reduced energy consumption, decreased waste generation, and the mitigation of harmful emissions. The review also emphasizes the role of green chemistry in addressing global challenges, such as climate change and resource depletion. The review concludes by underscoring the importance of continued research and education in green chemistry to further promote its widespread adoption. It highlights the potential for green chemistry to contribute significantly to a sustainable and environmentally conscious future, where chemistry plays a pivotal role in addressing the complex challenges of our time.
Research on Emotional Analysis and Emotional Color Extraction Algorithm of Chinese Language and Literature Based on Emotional Computing
Authors: Lan Wang
Published: May 2024

In China, the emotional response of diverse cultural bearers, including literature, movies, and other media, frequently mirrors the country's cultural improvement. Consequently, emotional analysis of the text and paintings may be used to examine the cultural evolution, determine its growth dynamics, and sort out its context. The project aims to investigate how well sophisticated affective computing performs in identifying and analyzing the emotional aspects of traditional Chinese literature and language. The study selects the Double Channel based Self-organized Residual Network-50 V2 (DC-SoResNet 50V2) algorithm based on a combination of deep learning algorithms and further improving the (DC-SoResNet 50V2) algorithm using Emperor penguin  Colony optimizer (EPCO). Moreover, the color image and text features from traditional Chinese literature are extracted using hummingbird-based term frequency-inverse document frequency (HB-TF-IDF) and Stochastic Color Harmony Algorithm (SCHA). Comparisons are made between the proposed and standard approaches using the training and test sets, respectively. The training time of the proposed approach is stable at around 25.1 s, while the test time is steady at about 18.5 s. The emotion identification accuracy of the proposed method achieved average of 99.11 and 99.23% in testing and training sets for the entire datasets, respectively. Comprehensive analysis of classic literary works can be possible with the help of this research, which offers fresh viewpoints and theoretical references.
Optimization of landscape garden greening design based on multi objective genetic algorithm
Authors: Xiaopu Dong
Published: May 2024

This paper presents a novel approach to optimize landscape garden greening design using a multi-objective genetic algorithm (MOGA)[1]. Incorporating genetic algorithms into landscape architecture offers a promising avenue for efficiently navigating the complex and multidimensional design space inherent in green infrastructure projects. Through a comprehensive bibliometric analysis of existing literature, this study synthesizes key insights into the application of genetic algorithms in landscape design and identifies gaps for further exploration[2]. Leveraging the evolutionary process of genetic algorithms, our methodology focuses on simultaneously optimizing multiple objectives such as biodiversity conservation, aesthetic appeal, water efficiency, and ecosystem services provisioning[3]. By iteratively evolving and selecting landscape configurations based on fitness criteria derived from these objectives, the MOGA enables designers to explore a diverse range of design alternatives and identify Pareto-optimal solutions that balance competing priorities. The integration of genetic algorithms into landscape design facilitates an iterative and adaptive design process, allowing for the exploration of complex trade-offs and the generation of innovative design solutions. Through a case study application, we demonstrate the effectiveness of the MOGA approach in optimizing landscape garden greening designs, showcasing its potential to enhance sustainability, resilience, and functionality in urban green spaces. This research contributes to the growing body of knowledge on computational design methods in landscape architecture and provides valuable insights for practitioners and researchers seeking to leverage genetic algorithms for optimizing green infrastructure projects.
Enhancing Visual Communication through Experience Design in Virtual Reality Technology
Authors: Hong Zhu
Published: May 2024

The integration of virtual reality (VR) technology into visual communication is revolutionizing the way we perceive and interact with information. This abstract explores the utilization of VR for experience design aimed at enriching visual communication practices. Through a synthesis of theoretical frameworks and practical applications, this study investigates how VR environments can be leveraged to create immersive and interactive visual experiences, transcending traditional communication barriers. Beginning with an overview of visual communication principles, the abstract then delves into the intricacies of VR technology, highlighting its unique capabilities and potential impact on communication design. By examining case studies and empirical research, it elucidates how VR can facilitate experiential storytelling, foster empathetic connections, and engage audiences on a profound level. Furthermore, the abstract discusses key considerations in the design and implementation of VR-based communication experiences, including user interface design, narrative structure, and sensory engagement. It also addresses challenges such as technological limitations and ethical implications, underscoring the importance of responsible and inclusive design practices. Ultimately, this abstract underscores the transformative potential of VR technology in redefining visual communication paradigms. By embracing experiential design principles and harnessing the immersive capabilities of VR, communicators can create compelling narratives and foster meaningful connections in ways previously unimaginable, thereby reshaping the landscape of visual communication in the digital age.
Application of Random Forest Algorithm in English Innovative Talent Cultivation Mode in Colleges and Universities
Authors: Ling Jin
Published: May 2024

This research investigates the integration of the Random Forest Algorithm within the framework of English Innovative Talent Cultivation Mode in higher education institutions. The study uses a performance evaluation approach to examine the algorithm's impact on student learning outcomes and instructional methodologies. The algorithm's usefulness in improving outcomes and personalizing instructional approaches is examined using descriptive statistical analysis. The findings demonstrate the algorithm's potential to change English language education by providing useful insights into student performance that can drive instructional decisions. This study emphasizes the relevance of refining talent development tactics and cultivating innovative English language skills among students, thus contributing to the growth of educational practices in colleges and universities. As a result, using the Random Forest Algorithm in this scenario has the potential to revolutionize teaching practices while also encouraging a culture of continual improvement and innovation in English language acquisition.
Optimization of Layout Indoor Space and Design Based on Machine Vision Algorithm
Authors: Yuan Wang
Published: May 2024

In the realm of indoor space design, achieving an optimal layout is crucial for enhancing functionality, efficiency, and user experience. Traditional approaches often rely on manual assessments or simplistic algorithms, lacking the precision and adaptability required for modern architectural challenges. This paper presents a novel framework for optimizing indoor space layout and design leveraging advanced machine vision algorithms. By harnessing the power of computer vision techniques, our methodology offers automated analysis and optimization of indoor environments, considering factors such as spatial utilization, traffic flow, and aesthetic appeal. Through a comprehensive exploration of machine learning and optimization techniques, we demonstrate significant improvements in space efficiency and usability, paving the way for intelligent design solutions in various architectural contexts. This research contributes to the intersection of computer vision and architectural design, offering a paradigm shift towards data-driven and adaptive approaches for optimizing indoor spaces.
Research on Analytical Model of Participation and Social Influence of She Sports Activities Based on Multi-source Data Fusion
Authors: Hui Lan
Published: May 2024

The present research looks into the involvement and societal impact of women's sports activities by developing an analytical model based on multi-source data fusion. The She people, a nomadic farming tribe in southern China, have a rich cultural legacy, with sports playing an important part in community bonding and cultural expression. This study tries to explore the complex dynamics of sports engagement within the She community by combining multiple datasets from surveys, social media analysis, observational studies, and historical records. The analytical model constructed in this study examines the elements that influence sports participation among the She people, taking into account gender dynamics, resource availability, cultural norms, community support, and individual incentives. By combining data on community cohesion, gender dynamics, cultural preservation, and individual well-being, the model provides insights into the social impact of She sports activities. Further, this research examines the unequal impact of sports engagement on several demographic groups in the She community, providing a more nuanced understanding of how sports activities interface with larger social structures and inequities. The findings of this study contribute to the progress of knowledge in sports sociology and cultural anthropology, while also providing practical insights for developing inclusive and sustainable sports practices in the She community. As a result, increased sports participation and high-quality development were linked to stronger social bonds and community cohesion.
Comprehensive Quality Evaluation Model of College Students Based on Deep Learning
Authors: Menglin Zhao
Published: May 2024

Evaluating college students' quality in higher education institutions is significant for promoting enhancement and innovation in teaching and learning practices. Conventional evaluation strategies mainly depend on subjective evaluation, which limits their ability to capture the multifaceted characteristics of students. In this study, we developed a distinct deep learning (DL) architecture by combining the Convolutional Deep Belief Network and Red Fox Optimization (CDBN-RFO) to evaluate college students' quality. Initially, a database containing academic performance records, extracurricular activities, and other relevant information is collected and fed into the system. Then, the database was preprocessed to make it an appropriate format for subsequent analysis. Further, the proposed CDBN-RFO was created, and the CDBN was trained using the preprocessed database to understand the patterns and relations within data for evaluating college students' quality. Subsequently, the RFO approach was deployed to fine-tune the CDBN hyperparameters to their finest range, which increases the overall system performance. Subsequently, the RFO optimized the CDBN training process by fine-tuning its parameters to the optimal range, enhancing overall evaluation performance. The developed framework was modeled using Python software, and the results were analyzed, including accuracy, error, computational time, etc. Also, a comparative analysis was done with conventional algorithms, which validated that the proposed strategy outperformed them in accuracy.
The Construction of Two-tier Equity Structure of Joint Stock Companies in China from the Perspective of Green Finance
Authors: Shanshan Yue
Published: May 2024

In this modern era business and changing landscapes, the construction of a two-tier equity structure within Chinese joint stock companies has proved to be a very innovative and augmented strategy. This paper scrutinizes the unorthodox integration of financial architecture and ecological sustainability by evaluation of this structure through the lens of green finance. The interlacing of the principles of environmental responsibility with mainframes of corporate governance enlightens the unique dynamics and outcomes of the two-tier equity model. This study comprehensively analyses and elucidates how this mainframe facilitates the shareholder interests as they align with long-term ecological objectives. This in turn cultivates a promising environment for sustainable development. As we draw onto the theoretical calculations and perspective supplemented with empirical evidences, this research study gives birth to amenable perspectives that the green finance has the potential to transform the Chinese context by shaping the future trajectory of corporate structures. Using a dataset consisting of Chinese publicly traded companies from 2001-2017, this study investigates how a lack of funding has led to a scarcity of environmentally friendly technologies in China. We also investigate how green finance laws help businesses overcome financial hurdles on the road to eco-friendly innovation. It has been observed that a company's capacity for green innovation decreases as its financial constraints grow, and that privately held businesses are at greater danger of this happening than government-owned ones.