bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementation of Drug Logistics Management in The Pharmacy Installation of Surya Insani Hospital Pasir Pangaraian Rokan Hulu Regency
Authors: Lumbangaol Sik Fikal , Samran
Published: November 2024

Background: The availability of drugs currently creates demand for medical services. Drug logistics management in hospitals includes stages such as planning, procurement, storage, distribution, processing, evaluation and monitoring, and are interdependent on each other so that they must be well coordinated so that each stage can run optimally. Objectives: Knowing the Implementation of Drug Logistics Management in Hospital Pharmacy Installations Surya Insani Research method: Qualitative descriptive research with a cross-sectional approach. Results: In the input  component, There is a positive and significant relationship between training and employee performance. To ensure the quality of supplies and extend the life of equipment, there must be a sufficient budget for purchasing drugs and maintaining drug storage facilities and other related equipment. Guaranteed to be sensitive to measurements and meet requirements, lighting, and calibrate certain equipment annually. In the Process component, planning, procurement, storage, distribution, processing, control. The composition of output, the availability of drugs at the Surya Insani is in accordance with demand, but there are still some drugs that are sometimes not available because the distributor or PBF warehouse runs out of stock. The results of the study also showed that the adequacy of planned drugs and the number of drugs available during the inventory period are important and appropriate when needed. In addition, at the Surya Insani Pasir Pangaraian Hospital. There are still many damaged or expired drugs. This shows that drug management, both input and drug administration processes, still need to be evaluated so that drug management at the Surya Insani Pasir Pangaraian Hospital  can be effective and efficient. Conclusion: The availability of drugs at the Pharmacy Installation of Surya Insani Hospital is in accordance with needs.
Utilization of Cinnamon Leaves (Cinnamomum burmannii, Blume) and Effectiveness Test as Mouthwash against Oral Microbes
Authors: Octora Debi Dinha , Irwanto Reno , Simarmata Pratiwi Christa
Published: November 2024

Oral health is an important aspect to pay attention to because it is part of the digestive system. Disorders in oral health function can impact other bodily health. The use of mouthwash is necessary to improve the cleanliness and health of the mouth, especially when brushing alone is not optimal. The active compounds in mouthwash enhance cleanliness and effectively inhibit the growth of pathogenic oral microflora. Cinnamon leaves have not been widely utilized and are often left unused or discarded. Previous research has been conducted on the potential of the compounds in cinnamon leaves. This research was carried out by determining the best essential oil content of cinnamon leaves through several preliminary treatments and varying distillation times. Active compounds such as cinnamaldehyde, L-linalool, and cinnamyl acetate were found in the cinnamon leaves, making them a potential ingredient for mouthwash formulation. The aim of this study is to produce an effective mouthwash that reduces the growth of pathogenic oral microflora using underutilized local materials. The mouthwash preparation method was modified from several active ingredient mouthwash preparation methods by varying the concentration of cinnamon leaf essential oil at 5%, 10%, and 15%. The formulations were then evaluated for organoleptic properties, stability, homogeneity, and antibacterial activity against S. mutans using the disc diffusion method. The results showed that the preparations remained physically stable and homogeneous during 30 days of storage at room temperature. The cinnamon leaf mouthwash exhibited antibacterial activity against S. mutans, with average inhibition zones of 15.25 mm, 19.06 mm, and 24.34 mm for formulations I, II, and III, respectively. Based on these results, it can be concluded that the cinnamon leaf mouthwash has the potential to inhibit the growth of S. mutans bacteria."
Formulation of Cushion Preparations from Duck Egg Shells and SPF Value Testing Using the UV-Vis Spectrophotometry Method
Authors: Fitriyana Rahma , Fauzi Muhammad , Ramadhani Juwita
Published: November 2024

The effectiveness of a sunscreen can be indicated by the value of Sun Protection Factor (SPF), which is defined as the amount of UV energy needed. Cream is a semi-solid dosage from containing one or more medicinal ingredients dissolved or dispersed in a suitable base material. One of the compounds contained in eggshells is CaCO3. Calcium carbonate is necessary for cell regeneration and as a barrier to ultaviolet (UV) rays. This study aims to determine the potential SPF in duck eggshell, the SPF value contained in the cushion and the physical properties of the cushion preparation. Here, three variations of duck egg shell flour concentrations (4%, 8% and 16%) were made, tested in vitro using UV-Vis spectrophotometry from a wavelength of 290-320 nm every 5 nm and the absorbance was measured and the properties were tested. and physical stability (organoleptic, pH, spreadability, stickiness, viscosity, centrifugation, and Freeze-Thaw Cycling for 6 days (3 cycles) at temperatures of 40°C and 4°C). Our research results show that the duck egg shell formulation cannot be used as an SPF product. Formula 1 has an SPF value of 2.6, formula 2 has an SPF value of 3.3 and formula 3 has an SPF value of 3. The test results for the properties and stability of formula 2 with a concentration of 8% duck egg shell flour show the most stable results compared to the other 2 formulas
Analysis of Rhodamin B Levels in Lipbalms Sold Online Using Uv-Vis Spectrophotometry
Authors: Cahya Cucu Arum Dwi , Saragih Agustinus , Br Sinaga Hana Lorenta
Published: November 2024

A frequent cosmetic preparation for moisturizing and shielding dry lips is lip balm. The textile industry uses a synthetic dye called rhodamine B. Because rhodamine B is a synthetic dye having carcinogenic qualities that can encourage the formation of cancer cells if used repeatedly, the Indonesian Food and Drug Administration (BPOM) forbids its usage as a cosmetic colorant. The purpose of the study is to ascertain, both qualitatively and quantitatively, if five distinct lip balm brands sold online contain the dangerous synthetic pigment Rhodamine B. The study was conducted quantitatively using UV Vis spectophotometry and qualitatively using the Thin Layer Chromatography (TLC) test and color response test with the reagents used, 10% NaOH. One of the five samples (sample B) tested positive for Rhodamine B according to the color response and TLC tests. With an Rf value of 0.91, which is near the typical Rhodamine B Rf value of 0.96, this was demonstrated by a color shift to red-orange upon the addition of 10% NaOH. Visual inspection of Sample B revealed a pink area as well. Rhodamine B was not detected in samples A, C, D, or E.Sample B had an average Rhodamine B content of 3,2281 mg/g.
Effectiveness of Propioceptive Neuromuscular Facilitation in Improving Walking Quality in Post-Stroke Patients at Haji General Hospital Medan
Authors: Trisno Susilo  , Liza Agustin
Published: November 2024

Nationally, the prevalence of stroke in Indonesia in 2018 was 10.9 per mile, an increase compared to 2013 which was 7 per mile. Stroke is the second leading cause of death and the third leading cause of disability in the world. Two-thirds of stroke events occur in developing countries. Weakness and decreased muscle strength in stroke sufferers occur on one side of the limb, however, in the trunk muscles, weakness occurs on both sides, resulting in limited trunk rotation and difficulty in maintaining balance and gait). Propioceptive Neuromuscular Facilitation (PNF) is a physiotherapy intervention method that can be used to improve the quality of walking in stroke patients. This method can improve proprioceptor function by stimulating it in muscles and tendons. PNF also improves muscle strength, flexibility, and balance). Description of respondent data was carried out using univariate analysis to determine the frequency of age, weight, height, gender, paralyzed side and Wisconsin values ??before and after the intervention for both groups. Bivariate test to compare the average WGS value after treatment with before treatment in both the PNF group and the conventional group and compare the average difference between the PNF group and the conventional group. The average value of the difference before and after the intervention in the PNF group was 1.75 with a standard deviation of ± 0.463, while in the conventional group the average value of the difference before and after the intervention was 0.63 with a standard deviation of ± 0.518. Statistical tests using the Wilcoxon rink test between the two groups obtained a p-value of 0.024, which is smaller than 0.05, which means there is a significant difference between the PNF intervention group and the Conventional intervention group.
The Effectiveness of Pregnancy Exercise on Anxiety of Primigravida Mothers at The Galang Mother's Love Clinic
Authors: Wulan Sri
Published: November 2024

Congestion experienced by pregnant women can cause various negative impacts on their mental and physical health. High anxiety often contributes to mental disorders, such as depression, which can disrupt a mother's mood and emotional well-being. In addition, the stress response that arises from anxiety can result in physical problems, such as headaches, sleep disorders, and digestive problems, which ultimately impact the immune system. This study aims to assess the effectiveness of pregnancy exercise in reducing anxiety in primigravida mothers at the Kasih Ibu Galang Clinic. The method used was a quantitative study with a pretest-posttest design, involving 15 respondents who took part in a pregnancy exercise program for six weeks. Anxiety levels were measured before and after the intervention using an anxiety scale. The research results showed that the average anxiety level of respondents before participating in pregnancy exercise was 1.67, while after the intervention it decreased to 1.20. Statistical analysis produced a p-value of 0.029, which indicated a significant reduction in anxiety levels. These findings indicate that pregnancy exercise is effective in reducing anxiety in primigravida mothers, so it is recommended as an intervention to support mental health during pregnancy.
Student Socio-Economic Status & the Type of Enrolled Programs
Authors: Wafula Susan Chilande , Musera Geoffrey Ababu , Akumu Paul Ogenga , Muhanga Cyrus Mboleya
Published: November 2024

This research article examines the effect of students’ socio-economic status on the type of program a student enrols in Kenya’s national polytechnics. It utilises an ex-post facto research design because the researcher could not manipulate the variable under consideration. Data was collected using questionnaires for students and interview guide schedules. The data was qualitatively and quantitatively analysed. Quantitative data was analysed by using multinomial logistic regression analysis, while qualitative data was analysed thematically. Reliability was attained using internal consistency where a Cronbach Alpha coefficient of 0.8 was established. The multinomial logistic regression results indicated that the student's socio-economic status is not statistically significant in the type of program a student enrolsin national polytechnics in Kenya. Consequently, the research article recommends that, the government should increase capitation and loans based on the type of program that one enrols. This is due to the fact that different programs attract different mean costs both directly and indirectly. Key Words: Socio-economic status, Programs, Type of programs
La Inteligencia Artificial (IA) como herramienta de predicción de la cultura financiera de un país
Authors: Borreguero Arias David , Gómez Martínez Raúl , Alard Josemaría Julio , Prado Román Camilo
Published: November 2024

La Inteligencia Artificial (IA) presenta actualmente diferentes aplicaciones que permiten a través del procesamiento de datos, la posibilidad de aprender, predecir y adoptar soluciones en diferentes campos de conocimiento, entre los que se encuentra el ámbito financiero. Este trabajo de investigación tiene como objetivo analizar la capacidad de la Inteligencia Artificial (IA) y el aprendizaje supervisado para predecir el nivel de cultura financiera que poseen los individuos de un país. Para ello se proponen 11 predictores previamente seleccionados por su posible influencia en la cultura financiera y se comparan con la variable objetivo (nivel de cultura financiera). Los resultados obtenidos ponen de manifiesto que cada uno de los 11 predictores a nivel individual se correlacionan con el nivel de cultura financiera que cada individuo afirma tener. En este sentido se evidencia con carácter general una percepción, alta o muy alta de la variable objetivo. No obstante, atendiendo a la precisión del modelo el trabajo pone en evidencia que a medida que el número de predictores es menor la precisión del modelo disminuye.
Morphological and anatomical study of leaves of common myrtle (Myrtus communis L.)
Authors: Maslova Vera D. , Derzhavina Elena R. , Kurkin Vladimir A. , Ryzhov Vitalii M.
Published: November 2024

Aim – to carry out microscopic analysis of leaf petioles of common myrtle and to identify diagnostic features of luminescence of dominant biologically active substances and tissues of leaf petioles of this plant species.
Material and methods. Leaves of common myrtle (Yalta, Russia), leaves of common myrtle (Oued-Rhiou, Algeria), leaves of eucalyptus (Abkhazia), standard samples of 1,8-cineole (SamSMU), euvimal-1 (VILAR, Moscow) and myricitrin (SamSMU) were objects of research. Essential oil was obtained from the leaves of the plant samples.
Anatomical and histological study of substances and plant raw materials of common myrtle was carried out using light microscopes with a digital attachment in transmitted and reflected light, and a luminescent microscope.
Results. Preliminary morphological analysis of the plant material showed similarity of leaves of common myrtle from different localities and low variability within each sample with respect to their size and shape. A comparative study of the luminescence of myrtle and eucalyptus essential oils and the studied standard samples was carried out. Microscopy of cross section, epidermis, schizogenic and essential oil receptacles, lenticels, xylem vessels of myrtle leaf petiole was performed and described.
The following conclusions were made: the luminescent method of analysis allows diagnosing myrtle and eucalyptus essential oil by features of luminescence in the ultraviolet lamp; 1,8-cineole is not a diagnostic element in morphological and anatomical luminescence for common myrtle of different growing sites and admixed species to myrtle; euvimal-1 and myricitrin have diagnostically significant luminescence for identification of common myrtle leaves; the identified feature of pigmentation of the epithelium of the schizogenic leaf receptacle of common myrtle and characterization of its luminescence can be used as a diagnostic feature in contrast to the admixed raw material of eucalyptus.
Conclusion. The results obtained in the course of the study can be further used in the development of regulatory documentation for a new type of medicinal plant raw material – “Common myrtle leaves”, as well as in fundamental botany in the study of species of the family Myrtaceae.
COMPARISON OF MANAGEMENT OF FRACTURE OF MID ONE THIRD OF SHAFT OF HUMERUS BY INTERLOCKING NAIL VERSUS PLATE
Authors: Yadav Sanjeet , Kumar Lalit , Kumar Sharvan , Kumar Anil
Published: November 2024

Introduction- Fractures of the humeral shaft are quite common in orthopaedic injuries. These fractures are managed by conservative and surgical
intervention. These fracture are surgically managed by intramedullary nailing and plating. To compa Objective- re the union rate of the fractures
and functional outcome between the patients treated with Plate Osteosynthesis and those treated with Interlocking Nailing for fracture mid one
third of shaft of humerus. Hospital based prospective comparative study of 60 patients with humeral Methods- shaft fractures treated with
Intramedullary interlocking nailing and Plate osteosynthesis according to inclusion criteria. Using Result- Rodriguez Merchan Criteria, In
interlocking nailing group 22 patients experience excellent to good outcome, while 6 patients have fair and two have poor functional outcome while
in plating group all patients achieve excellent to good outcome. Plate osteosynthesis was superior Conclusion- than intramedullary nailing for
treating fracture of mid one third shaft of humerus. There were excellent and and good functional outcome in plating group compared to
interlocking nailing group. Complications were lesser in plating group compared to nailing group.
A DANCING BRAIN : SOLVE THE PUZZLE
Authors: Shanil P Mohammed , Jasmin K Farsana
Published: November 2024

Systemic Lupus Erythematosus (SLE) is a chronic autoimmune
disease. CNS involvement in SLE has been estimated around 40-70%
cases but Neuropsychiatric SLE presenting as parkinsonism as the
initial manifestation is extremely rare.Here presenting a case of a 39
year old lady presenting the clinical features of parkinsonism
secondary to SLE.
Crise, capital portador de juros, capital fictício e a função do direito no Livro III de "O capital"
Authors: Presciliano Ana Clara Passos
Published: November 2024

O objetivo do presente artigo é examinar os desdobramentos que as determinações das crises econômicas no nível do capital em geral adquirem no processo global da produção capitalista tratada no Livro III d’O capital de Karl Marx, passando pelas compreensões relativas à lei tendencial da queda da taxa de lucro e à sobreacumulação cíclica de capital, bem como pelas figuras do capital portador de juros e do capital fictício, a fim de culminar na compreensão da dinâmica exercida pelas formas jurídicas nesse contexto.
DETERMINAÇÃO DO ZINCO, DA PROTEÍNA C REATIVA E DA EXPRESSÃO DE GENES CODIFICANTES DE PROTEÍNAS TRANSPORTADORAS DE ZINCO E METALOTIONEÍNA EM PACIENTES HEMOTDIALISADOS
Authors: Batista Lorena Maria Barros Brito , Nogueira Nadir do Nascimento
Published: November 2024

Objetivou determinar a concentração de Zn plasmático, a proteína C reativa, a expressão genes codificante das proteínas Znt1, Zip1, Zip3, Zip4, Zip14 e metalotioneína em pacientes hemodialisados com DRC. Foi realizado com 25 pacientes seguintes critérios: tempo de hemodiálise maior ou igual a 6 meses, fístula artéreo-venosa funcionante, ausência de doenças crônicas, sem retransplante, com Kt/V ≥ 1,2, sem intercorrências clínicas ou cirúrgicas. A determinação do Zn foi feita por espectrofotometria de absorção atômica; a análise da proteína C reativa pelo teste de Quimioluminescência, e reação de PCR quantitativo e em tempo real para determinação da expressão dos genes codificantes da proteína transportadora e metalotioneína. A média do zinco plasmático foi de 61,27 µg/dL, e intervalo de 43,32-89,6; a proteína C reativa apresentou de 0,228 ± 0,139. A média e desvio padrão da expressão dos genes codificantes do Znt1 foi de 10,00252 ± 0,001401; A Zip1 teve expressão média de 0,00402 ± 0,002694, a Zip3 0,00013 ± 0,000180; a Zip4 0,00638 ± 0,002682; a Zip14 de 0,00371 ± 0,002234; a Znt10,00252 ± 0,001401. A expressão do gene da metalotioneína foi de 0,03122 ± 0,0014. A expressão dos genes da Metalotioneína, ZnT1 e Zip14 se mostraram alterados de forma significativa.
Building Time-Series Data Monitoring Pipeline from the Cloud to Grafana
Authors: - Mohit Bajpai
Published: November 2024

The increasing reliance on cloud-based infrastructure and the growing need for real-time monitoring of time-series data have led to the development of robust data pipelines that can efficiently process and visualize large volumes of data. This paper presents a comprehensive approach to building a time-series data monitoring pipeline from the cloud to Grafana, a popular open-source data visualization platform. The paper discusses the key components of the pipeline, including data collection, data transformation, and data visualization, and presents a case study of a financial institution that has successfully implemented this solution.
Benefits of Technology-Enabled Care Coordination in Mental Health Care Delivery
Authors: - Pavani Kottapalli
Published: November 2024

Mental illness is a significant concern around the globe due to its high potential to cause disability and mortality. Also, mental health illness contributes to adverse medical outcomes due to the nonadherence behavior of care options, which leads to high healthcare costs. Yet the world of mental health care delivery is fragmented, which makes it difficult for health care providers to navigate the systems to provide adequate coordinated care for one who is in need; therefore, significant adverse outcomes are experienced in mental health care delivery. Although there are efforts from federal and state agencies to connect fragmented mental health service delivery, there are only minimal results in delivering holistic, coordinated quality care (Iorfino et al., 2021). Therefore, the author wants to explore the benefits of incorporating technology-enabled care into mental health care delivery systems to improve efficiency in providing coordinated quality care.
The Possibility of Financial Distress and Its Determinants: Evidence from the Banking Sector of Bangladesh
Authors: - Sirajum Munira Chowdhury Otosi , - Sidratul Muntaha
Published: November 2024

The banking sector of Bangladesh has shown poor performance for over a decade now. The non-performing loans increased over the years. This prompts the question of whether the banks are capable of maintaining financial stability and continue as a going concern. This is further fueled by the number of financial scandals which took place over the years, such as the Hallmark scandal, irregularities in Islami Bank Bangladesh Ltd., BASIC Bank Limited etc. that further highlights the signs of possible financial distress. These incidents call for an investigation of bank-specific determinants that might have a significant effect in leading a bank towards bankruptcy. This study has used the data of 30 listed commercial banks in Bangladesh, from the year 2014 to 2020. The bankruptcy risk is measured using the Altman Z-score, which has been extensively used as a suitable bankruptcy risk measurement tool. Statistical analysis has been conducted, using random-effects regression model and correlation, to test the relationship and impact of bank-specific factors. Capital adequacy ratio has shown significantly positive impact on the bankruptcy risk, while age has shown significantly negative impact on bankruptcy risk. Non-performing loan has also shown negative relationship with Z-score, which is contrary to the conventional belief.
A Review Article: Effects of Oral Contraceptive Pills on Menstrual Cycle, Pregnancy, and Thyroid Gland
Authors: - Akshay Sharma , - Dheeraj vishwakarma , - Shivani Kumari , - Deovrat kumar
Published: November 2024

Oral contraceptive pills (OCPs) are often used for both birth control and hormone modulation. They have a substantial impact on the menstrual cycle, pregnancy prevention, and general endocrine function, including the thyroid gland. This review examines how OCPs affect menstrual control, pregnancy prevention, and thyroid hormone levels. Understanding these interactions is critical for doctors managing patients on OCPs and women making informed reproductive health decisions.
AI System for Autonomous Vehicles
Authors: - RAJAT RATHORE , - TAHARAT NAYEEM , - ABHA AGARWAL , - SHUBHAM KUMAR , - PARAS , - Akshit Bhardwaj
Published: November 2024

The rapid advancement of artificial intelligence (AI) has revolutionized the development of autonomous vehicles, offering transformative potential for the future of transportation. This research investigates the implementation of AI-driven algorithms in autonomous vehicles, focusing on their ability to enhance decision-making, navigation, and safety. By employing state-of-the-art machine learning models, including deep learning and reinforcement learning, the study explores how these technologies can optimize real-time processing of sensor data, environmental perception, and adaptive control mechanisms.
The findings demonstrate that AI algorithms can significantly improve the accuracy of object detection, trajectory prediction, and path planning, thereby reducing the likelihood of collisions and enhancing overall road safety. A key contribution of this work is the integration of a multi-modal sensor fusion approach, combining data from LiDAR, cameras, radar, and GPS to create a comprehensive and reliable understanding of the vehicle’s surroundings. Additionally, the research highlights the role of AI in enabling autonomous vehicles to learn from vast amounts of driving data, facilitating continuous improvement and adaptability in diverse driving conditions.
The implications of this study are profound, suggesting that AI-powered autonomous vehicles could lead to safer, more efficient, and environmentally sustainable transportation systems. However, the research also identifies challenges related to computational complexity, real-time decision-making, and ethical considerations in AI-driven autonomy. Future work will focus on addressing these challenges and exploring the broader societal impacts of widespread autonomous vehicle adoption.
Assessing the Scope of Black Soldier Fly Larvae (Hermetia Illucens) Incorporating it into Sustainable Development
Authors: - Damodharan Vadivelu , - Jagatheeswari Asaithambi
Published: November 2024

The aim of the study is to gain comprehensive understanding of the practical ways to use BSFs to convert organic solid wastes into alternative energy sources.
Parking Assistant with the Simulation of Application
Authors: - Parth Desai
Published: November 2024

Smart Parking can be used for any city. It aims to improve the efficiency and sustainability of urban transportation systems by using technology to manage parking systems. This article provides an overview of the different components of smart parking systems. The increasing vehicular population in urban areas has led to significant challenges related to parking management, exacerbating traffic congestion, environmental impact, and user dissatisfaction. The app facilitates real- time information on available parking spaces, reservation capabilities, and payment integration, thereby enhancing user experience and operational efficiency. We summarize the methodologies applied in developing the app, which include sensor integration for dynamic parking space monitoring and mobile application development for user interaction. The article concludes with a consideration of the future of smart parking and its role in the overall development of smart cities. In conclusion, the findings serve as a basis for future advancements in intelligent parking systems, ensuring improved service delivery for urban commuters.
Studies on biodiversity of Nycticorax nycticorax- Linnaeus, 1758 at Manchar
Lake, Sindh, Pakistan
Authors: - Quratulain Memon , - Prof Dr. Kalsoom Sheikh
Published: November 2024

The lake manchar is considered as one of the largest freshwater lakes in Pakistan, it’s located in district of Jamshoro. This wetland plays a substantial role in providing habitats to variety of resident and migratory birds. It provides shelter to the vast biodiversity that has daily and seasonal dependencies for all the life-support systems. Birds use this lake for drinking water, breeding, rearing young ones and social interactions. Meanwhile, birds play important role in
balancing the ecosystem and food web of the ecosystem by conserving maintainable population levels of prey and predator species, and after death provide food to scavengers as well as decomposers. Birds are best pollinators, help in plant production through their services as pollinators or seed dispersers and increase forest growth, also help in environmental conservation. Considering the valuable role of wetlands and importance of avifaunal species in
agriculture, food chains, ecosystem and pharmaceutics, a comprehensive study is carried out to evaluate diversity of socio-economically valuable avifaunal species at Manchar Lake. Monthly field surveys were conducted from January 2024 to October 2024, resulting in the collection of 80 specimens of Nycticorax nycticorax. Minor variation was recorded in body parameters including body weight, size of beak, body length, wingspan, limbs length, length of tail feathers,
and width of web. Nycticorax nycticorax Weight of body 302±1.53 Length of beak 72± 1.20 Length of Wingspan 190±3.22 Length of limbs 787±140.5 Length of tail feathers 314±3.12 limbs Length of body 21.5±0.95. Nycticorax nycticorax was recorded to be the predatory bird, and their occurrence was abundant in the lake premises. The highest prevalence of recorded species occurred in January, February, and March, with the lowest richness observed in June and July. The study concluded that Manchar Lake is experiencing significant pollution due to runoff from agricultural fields, residential areas, and other sources. This pollution, combined with factors such as massive hunting, climatic changes, seasonal fluctuations, and decreasing food resources, has led to a decline in bird populations at the lake
A Comprehensive Study of Stock Market Volatility: Types, Determinants, and Measurement Methods
Authors: - Anshu Gupta , - Radhika Mishra
Published: November 2024

The Volatility, a critical aspect of financial markets, quantifies the uncertainty associated with asset price movements. This paper provides a comprehensive review of volatility, encompassing its definition, types, determinants, and measurement methods. Various factors, including macroeconomic indicators, market sentiment, liquidity, global events, and corporate actions, influence volatility. A range of methods, such as standard deviation, historical volatility, implied volatility, GARCH models, EWMA, and range-based volatility, are employed to measure volatility. Understanding volatility is essential for investors, traders, and risk managers to make informed decisions and manage risk effectively. Future research can delve into advanced volatility models, volatility spillovers, investor behavior, and the relationship between volatility and asset pricing.
Decoding the Strands of Women Oppression in Fiction of North Eastern Women Writers: A Study of Temsula Ao’s The Night (2005), Easterine Kire’s A Terrible Matriarchy (2007) and Jahnavi Barua’s Rebirth (2010)
Authors: - Syeda Peenaz Seerat
Published: November 2024

India had long come out of the shadows of otherisation by the West, but ironically, it had constructed its own facets of misinterpretation and otherisation of its diverse indigenous groups within the subcontinent. Northeast India is one such geographical region that have always been viewed as exotic, backward owing to the distinct cultural and traditional patterns of its numerous tribes, castes and groups, of which very little is explored by the mainstream society and hence deemed as rooted in backwardness. The region has always been entangled in the web of national, ethnic, regional identities as it seems to exist in isolation from mainland India and grapples with insurgency and the inability to accommodate long term cultural and indigenous diversity. Additionally, the cultural, ethnic ethos and norms of each indigenous group acts as an influential factor in shaping the identities of the North East Indian people. In such contexts, the women question becomes a case of double marginalisation owing to unbalanced power relations as well as patriarchal customs and rules of various indigenous groups and the perpetual militarisation and regional identity crisis in the area. The research aims to investigate the factors moulding the identity of north eastern woman from the lens of gendered subalternity, through some strong, vivid narratives with passive-strong female characters. It is an attempt to understand how the multiple social ideologies of region, ethnicity, race, gender, nation, identity overlap to delineate to hierarchal disparities in the society contributing to victimisation of women.
DocNER: Document Chat Assistance with NER
Authors: - Sahil Baviskar , - Lokesh Deshmukh , - Nishica Kothawade , - Rutuja Uphale , - Manisha Mali
Published: November 2024

The increasing amounts of high volume unstructured medical data, such as research and clinical articles, impede efficient information extraction. Since the medical texts have a complex structure, many times these approaches do not work, leading to significant losses. The current approaches are not robust to a wide spectrum of medical content as they are too specific to the given domain.This study proposes a recent innovative approach that involves the combination of Named Entity Recognition (NER) and Retrieval-Augmented Generation (RAG) to enhance entity extraction and give useful bibliographic information from medical data respectively. The objectives of our method are to improve accuracy, accommodate different kinds of documents, and assist in clinical research and patient care.
The Search for Exoplanets: Methods and History
Authors: - Keshav Jhunjhunwala
Published: November 2024

The discovery of exoplanets, planets beyond the solar system, has raised key questions about extraterrestrial life and the technology needed to find it. While considerable progress in exoplanet detection has been achieved over the past three decades, the methods currently in use still face notable limitations. Indeed, the detection of exoplanets has come a long way since its first confirmation in 1992. At first, these celestial objects were considered as figment of movies and science fiction, but it is credible today that Radial Velocity, Transit, Gravitational Microlensing, Direct Imaging, and Astrometry approaches have found these planetary bodies. While each of the methods works well, all techniques possess specific systematic errors depending on orbital radius, planetary size, and so on. For the past few decades, missions like Hubble, Spitzer as well as Kepler have delivered the fundamental catalogs and enormously improved the knowledge in the field of exoplanets. Recent developments, specifically with the JWST, have provided new ideas with indications of biosignatures on planet exoplanet K2-18b. The future prospects for exoplanet discovery also look good, for example, with the help of the machine learning for analysis and planned instruments like Nancy Grace Roman Space Telescope and the concept of Habitable Worlds Observatory. These observatories are oriented towards the search of potentially habitable exoplanets and for exploration of other universal enigmatic processes. In this paper, the advancement of technique in identifying exoplanets is outlined with specific focus on significant accomplishments, trends, technologies, and future outlook, which shows a fairly promising field that holds great potential for finding more habitable planets.
Bharatiya Sakshya Adhiniyam, 2023: An Overview of Key Amendments
Authors: - Md. Imran Wahab, IPS
Published: November 2024

The Bharatiya Sakshya Adhiniyam, 2023 (BSA) represents a pivotal legislative development in Indian law, serving as a comprehensive update to the Indian Evidence Act of 1872. This new Act modernizes the approach to legal procedures, placing a particular emphasis on the handling and acceptance of electronic evidence in courts. Comprising 170 sections, the BSA replaces the antiquated colonial terminology found in previous legislation with more relevant and contemporary language that reflects current practices and technological realities. One of the most significant reforms introduced by the BSA is the broadened acceptance of digital records as admissible evidence, which acknowledges the rapid technological advancements that have transformed communication and documentation methods in recent years. The scope of the BSA extends to military courts, indicating a major overhaul in the legal framework of India. Furthermore, the Act redefines key concepts such as "documents" and "evidence," explicitly incorporating digital formats to ensure clarity and consistency in legal proceedings. These vital changes set the stage for a more technologically adept legal system in India, representing a substantial evolution in evidence law while addressing the pressing need for modernization in legal practices and procedures.
A Study On The Effectiveness Of Cow's Milk Along With Arogyavardhini Vati (An Ayurvedic Formulation) In The Management Of Ascites- A Case Study
Authors: - Tasmita Das , - Hemen Kalita
Published: November 2024

Ascites is the accumulation of peritoneal fluid in the abdominal cavity. Among all the causes of ascites, liver cirrhosis is one of the commonest cause. .Liver cirrhosis is a chronic degenerative disease characterized by replacement of normal liver tissue fibrosis that disrupts the normal liver function., which is complicated by ascites. Mild to moderate ascites is treated by salt restriction and diuretic therapy. Tense ascites is treated by paracentesis, followed by albumin infusion and diuretic therapy. Ascites due to liver cirrhosis , a life threatening condition is incurable due to its fibrotic nature .So, there is always a search for an alternative treatment like Ayurveda for its management. This paper highlights the effectiveness of using ‘only milk diet’ and a potent Ayurvedic formulation, Arogyavardhini vati for the management of ascites
Resolving Disputes in International investment through Arbitration
Authors: - Koustav Bhattacharjee
Published: November 2024

This paper brings forth an extensive analysis of the role of arbitration in resolving disputes in international investment, providing a comparative study of the existing frameworks and emerging alternatives. As cross-border investments continue to grow, disputes between foreign investors and host states have become increasingly common. International arbitration has emerged as the preferred method for resolving such conflicts due to its neutrality, enforceability, and flexibility. The paper explores the key legal instruments governing international investment arbitration, including Bilateral Investment Treaties (BITs), Free Trade Agreements (FTAs), and multilateral agreements like the Energy Charter Treaty. It also examines the two most widely used procedural frameworks: the International Centre for Settlement of Investment Disputes (ICSID) and the United Nations Commission on International Trade Law (UNCITRAL), comparing their distinct approaches to arbitration. While arbitration has proven effective, it faces growing criticisms, including high costs, lengthy proceedings, and concerns about transparency and arbitrator impartiality. The research also highlights regional initiatives, particularly in Latin America and China, which reflect diverse approaches to investment dispute resolution. By comparing these frameworks and emerging trends, the paper sheds light on the strengths, weaknesses, and future direction of international investment arbitration, emphasizing the need for a more transparent, equitable, and accessible system to balance the interests of investors and host states. The analysis concludes by assessing the potential impact of these reforms on the future of international investment law.
Anticancer Potential Of Psoralea Corylifolia L. Ethanol Extract: Cytotoxicity, Apoptosis Mechanisms, And Gene Expression Analysis In Mcf7 Breast Cancer Cells Via qPCR
Authors: - Subramaniam Manju
Published: November 2024

Aim: The aim of this study was to evaluate the phytochemical profile and anticancer potential of Psoralea corylifolia L. extract, specifically focusing on its effects on breast cancer cells (MCF7) and its underlying molecular mechanisms.
Methods: The seeds of P. corylifolia were extracted using ethanol and chloroform through Soxhlet extraction. The extracts were analyzed for bioactive compounds through standard phytochemical tests. The anticancer activity of the ethanol extract was assessed using the MTT assay to determine cell viability and IC50 values. Further molecular analysis of apoptosis was performed by quantifying the expression of the Bcl-2 gene using semi-quantitative PCR and evaluating marker of apoptosis.
Results: Phytochemical screening revealed that both ethanol and chloroform extracts contained alkaloids, carbohydrates, and terpenoids, with ethanol extract showing a broader range of bioactive compounds, including flavonoids, phenols, saponins, and proteins. The ethanol extract exhibited significant cytotoxicity against MCF7 cells, with an IC50 value of 10.1 µg/ml. Molecular analysis showed that the extract induced apoptosis through down-regulation of the anti-apoptotic protein Bcl-2 and activation of caspase-3 and PARP, suggesting the involvement of the mitochondrial pathway.
Conclusion: The results demonstrate the anticancer potential of P. corylifolia ethanol extract against breast cancer cells, primarily through cell cycle arrest and apoptosis induction. These findings highlight P. corylifolia as a promising candidate for further investigation as a safer, plant-based alternative in cancer treatment, particularly for breast cancer, though clinical studies are needed to confirm its therapeutic efficacy in humans.
Positive consumption externality; The right to education for girls in India
Authors: - Samisha Sharma
Published: November 2024

This essay addresses one of the most pressing issues in Indian society: the gender-based restriction on girls' education. Using a range of secondary research, including articles and newspaper findings, the study examines the extent of this problem and its societal implications. Despite India's efforts to implement various strategies aimed at increasing access to education for girls, the research concludes that these measures remain insufficient. The study emphasizes the need for more comprehensive reforms and stronger enforcement to bridge the gap and ensure equal educational opportunities for all, regardless of gender.
Enhancing Recovery in Fracture Management: An Evidence-Based Approach to Early Mobilization
Authors: - Sujeet Kumar Chaudhary
Published: November 2024

●Background: Traditionally, fracture management has centered around prolonged immobilization, based on the belief that restricting movement allows bone tissue the stability needed to heal effectively. This approach, while protective, can often lead to complications such as muscle atrophy, joint stiffness, and delayed return to function. In recent years, however, early mobilization has emerged as a promising alternative, with the potential to not only speed recovery but also to enhance functional outcomes.
●Aim and Objectives: This study examines the effects of early mobilization on recovery and complications in fracture patients, aiming to identify optimal techniques for varying fracture types and patient demographics.
●Methods: A systematic review and comparative study were conducted, analyzing outcomes across patients managed with early mobilization and those treated with standard immobilization.
●Results: Patients undergoing early mobilization experienced faster recovery times, lower rates of complications, and higher satisfaction scores. Enhanced quality of life and functional recovery were observed, with significant reductions in joint stiffness and muscle loss.
●Conclusion: Early mobilization shows significant benefits in fracture management, particularly when tailored to individual patient needs. Future studies are recommended to explore long-term impacts and protocol optimization.
Carbon Trading in Developing Economies: Challenges, Opportunities, and Best Practices
Authors: - Seema Dixit , - Swati Bardiya
Published: November 2024

Globally, carbon trading, a market-driven approach to cut greenhouse gas emissions, has become increasingly popular. Developing economies are increasingly looking at carbon trading as a strategy to balance economic progress with environmental sustainability, even though wealthier nations have historically been the main players in carbon markets. This assessment looks at the main obstacles, chances, and recommended procedures related to carbon trading in developing nations. The obstacles encompass feeble regulatory structures, insufficient knowledge, unstable markets, and giving precedence to commercial expansion above ecological issues. On the other hand, carbon trading offers chances for technological transfer, international financial access, climate risk mitigation, and sustainable development. These regions' best practices for carbon markets place a premium on robust regulatory frameworks, capacity building, equitable pricing systems, and public-private partnerships. By addressing the challenges and embracing these best practices, developing economies can leverage carbon trading to meet their development goals while contributing to global climate action.
Global Research Trends in Green Finance: A Systematic Literature Review of Regional Contributions (2001-2024)
Authors: - Shweta Aneja
Published: November 2024

This study presents the systematic analysis of existing literature on global research trends in green finance, focusing on regional contributions from 2001 to 2024. Using data from the Web of Science and Scopus databases, this analysis identifies patterns in publication volume, regional leadership, and thematic evolution in green finance research. The findings reveal a substantial increase in scholarly output, particularly in response to climate agreements such as the Paris Agreement and the Sustainable Development Goals. Notably, countries like China, the United Kingdom, and emerging contributors, including Pakistan, are leading in research output. The study underscores a shift from foundational studies on sustainable finance to specific applications in green bonds, ESG criteria, and climate finance. Additionally, it highlights strong international co-authorship networks, especially among researchers in Europe, North America, and Asia, which facilitate cross-border collaboration and knowledge dissemination.