bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploratory comparison of shielding performance of foam-core and corrugated-plate-core sandwich panels at hypervelocity impact
Authors: Telichev Igor
Published: October 2024

Over the past two decades, extensive research has demonstrated the effectiveness of foam-core sandwich panels in shielding spacecraft from micrometeoroid and orbital debris (MMOD). This study investigated an alternative solution by comparing the shielding performance of foam-core and corrugated plate-core sandwich panels. Hypervelocity impact tests were conducted using 6-mm aluminum spherical projectiles on both foam-core and corrugated plate-core panel configurations. The results revealed that the corrugated plate core modified the interaction of debris fragments with the rear wall, leading to improved mitigation of hypervelocity impacts. These findings demonstrated the weight efficiency of the corrugated plate core with ballistic inserts for MMOD protection and suggested the need for further research to advance this approach.
Machine learning-led semi-automated medium optimization reveals salt as key for flaviolin production in Pseudomonas putida
Authors: Zournas Apostolos , Incha Matthew , Radivojevic Tijana , Blay Vincent , Marti Jose , Costello Zak , Schmidt Matthias , Chung Tan , Thompson Mitchell , Pearson Allie , Kinnunen Patrick , Eng Thomas , Lawson Christopher , Tan Stephen , Ogorzalek Tadeusz , Kaplan Nurgul , Forrer Mark , Backman Tyler , Mukhopadhyay Aindrila , Hillson Nathan , Keasling Jay , Martin Hector Garcia
Published: October 2024

Although synthetic biology can produce valuable chemicals in a renewable manner, its progress is still
hindered by a lack of predictive capabilities. Media optimization is a critical, and often overlooked,
process which is essential to obtain the titers, rates and yields needed for commercial viability. Here,
we present a molecule- and host-agnostic active learning process for media optimization that is
enabled by a fast and highly repeatable semi-automated pipeline. Its application yielded 60% and 70%
increases in titer, and 350% increase in process yield in three different campaigns for flaviolin
production in Pseudomonas putida KT2440. Explainable Artificial Intelligence techniques pinpointed
that, surprisingly, common salt (NaCl) is the most important component influencing production. The
optimal salt concentration is very high, comparable to seawater and close to the limits that P. putida
can tolerate. The availability of fast Design-Build-Test-Learn (DBTL) cycles allowed us to show that
performance improvements for active learning are rarely monotonous. This work illustrates how
machine learning and automation can change the paradigm of current synthetic biology research to
make it more effective and informative, and suggests a cost-effective and underexploited strategy to
facilitate the high titers, rates and yields essential for commercial viability.
Transformer-based Deep Learning Model for Fluorescence Lifetime Parameter Estimations using Pixelwise Instrument Response Function
Authors: Erbas Ismail , Pandey Vikas , Nizam Navid Ibtehaj , Yuan Nanxue , Verma Amit , Barroso Margarida , Intes Xavier
Published: October 2024

Fluorescence lifetime imaging (FLI) is an important molecular imaging modality that can provide unique information for biomedical applications. FLI is based on acquiring and processing photon time of arrival histograms. The shape and temporal offset of these histograms depends on many factors, such as the instrument response function (IRF), optical properties, and the topographic profile of the sample. Several inverse solver analytical methods have been developed to compute the underlying fluorescence lifetime parameters, but most of them are computationally expensive and time-consuming. Thus, deep learning (DL) algorithms have progressively replaced computation methods in fluorescence lifetime parameter estimation. Often, DL models are trained with simple datasets either generated through simulation or a simple experiment where the fluorophore surface profile is mostly flat; therefore, DL models often do not perform well on samples with complex surface profiles such as ex-vivo organs or in-vivo whole intact animals. Herein, we introduce a new DL architecture, MFliNet (Macroscopic FLI Network), that takes an additional input of IRF together with TPSF, addressing discrepancies in the photon time-of-arrival distribution. We demonstrate the model’s performance through carefully designed, complex tissue-mimicking phantoms and preclinical in-vivo cancer xenograft experiments.
Impact of symptomatic COVID-19 on the oral health of pediatric patients in Tbilisi City
Authors: Mania Lia , Nanobashvili Ketevan , Manjavidze Tinatin , Benashvili Mamuka , Astamadze Ia
Published: October 2024

Background/Purpose: Coronavirus disease 2019 (COVID-19) has become the cause of a global health crisis during the current pandemic. This research aimed to study the impact of symptomatic COVID-19 on children’s oral health indices and salivary microbiome composition duringthe post-COVID-19 period.
Methods: An observational, cross-sectional study was conducted in Tbilisi (Georgia) among those aged 7-12 years. A total of421 children included in the study had a history of laboratory-confirmed COVID-19 within one year of exposure. No participants met the criteria for comorbidconditions or for PCC. A stratified simple random selection of schools and among selected clusters was used. The selected children were divided into two groups: the exposed group, patients with a history of symptomatic COVID-19; and the control group, patients with a history of asymptomatic COVID-19. The data were collected from August 2022 to December 2023. Oralscreening, microbiological examination of saliva, and administration of questionnaires were also performed. Logistic regression was used to calculate ORs with 95% confidence intervals. The statistical processing of the data was performed with SPSS-23. The study was approved by the Biomedical Research Ethical Council of the University of Georgia (UGREC –04 –22/09.03.2022).
Results: Statistically significant differences in the means of the oral health indicators between the studied groups were detected (exposed: DMFT+deft=5.9; MGI=0.92; S-OHI=1.9; control: DMFT+deft=3.8; MGI=0.56; S-OHI=1.4). According to the logistic regression, symptomatic COVID-19 had a significant effect on the following oral health indicators: DMFT+deft (OR=1.26; 95% CI=1.14-1.39); MGI (OR=2.31; 95% CI=1.50-3.55); and S-OHI (OR=3.43; 95% CI=2.03-5.76). The effect of symptomatic COVID-19 on the frequency of eradication of the studied microbiome was also significant (OR=2.12; 95% CI=1.23-3.63).
Conclusion: A close association was established between symptomatic COVID-19 and microbiome changes in the oral saliva of children as well as between oral health indicators and symptomatic COVID-19. Considering the research results, it is assumed that a symptomatic course of COVID-19 may be an additional risk factor associated with poor oral health in the pediatric population in the post-COVID-19 period.
Automated Token-Level Detection of Persuasive and Misleading Words in Text Using Large Language Models
Authors: Nijodo David , Schmidt Daniel , Costa Samuel , Martins Andrew , Johnson Nicholas
Published: October 2024

Persuasive and misleading language has long been a powerful tool in shaping public opinion, guiding consumer behavior, and influencing political discourse. The complexity of detecting subtle rhetorical strategies, particularly at the token level, presents a significant challenge for traditional methods of text analysis. The novel approach developed in this study leverages token-level processing within transformer-based models to classify words based on their persuasive and misleading potential, providing a granular perspective on language manipulation. Through comprehensive experiments, the analysis demonstrated that tokens linked to sentiment polarity, lexical complexity, and positional importance play key roles in shaping the rhetorical impact of texts. This method provides an efficient and scalable solution for automated content moderation, political discourse analysis, and advertising regulation, with applications extending to media analysis and misinformation detection. The integration of attention mechanisms and contextual embeddings offers a detailed view into how language functions at a deeper structural level, positioning this framework as a significant advancement in automated text analysis.
Investigating neuroendocrine lung tumors: single-cell isolation techniques and 3′ MACE RNA-Sequencing on FFPE samples
Authors:   , Walczak Barbara
Published: October 2024

Neuroendocrine neoplasms of the lung account for approximately 20% of all primary lung tumors. The most frequent entity within this group, as well as the most lethal, is small cell lung cancer (SCLC) occurring in around 15% of the cases. For this particular entity, though there have been several breakthroughs in recent years, overall understanding remains insufficient, especially when it comes to new, personalized therapeutic options. The lack of fresh tissue samples is most certainly one of the limiting factors for research. The goal of this study was to utilize archival formalin-fixed paraffin-embedded (FFPE) samples of SCLC and, more precisely, to establish and implement an efficient technique for single-cell isolation of substantial quantity and quality for translational cancer research. To establish this technique representative artificial samples and real-life samples have been carefully chosen. To generate single-cell suspensions, two different methods were suggested by current literature based on mechanical disruption (incellPREP by CellSee) and a combination of enzymatic and mechanical disruption (Miltenyi). The feasibility of these two methods was pre-evaluated by subsequent analytics such us Cytospin-PAP staining and flow cytometry to refine the protocol and apply a final selection of samples for 3′ MACE (massive analysis of cDNA ends) RNA-sequencing (GenXPro). By this, pre-analytical quality and secondary analytical output could be evaluated and implemented as a first standard guideline within the Dr. Senckenberg Institute of Pathology for ongoing projects when using archival FFPE samples. To summarize, FFPE samples are an underestimated and rarely used material for single-cell sequencing studies. Therefore, their utilization opens a possibility to apply this technique to different tumor types, especially when fresh or fresh frozen tissue samples are not available. Conducting the proper analysis of data could lead to a deeper understanding of cancer biology and to find new therapeutic vulnerabilities.
Magnetenzephalographie in Korrelation zu Magnetresonanztomographie und neuropsychologischen Befunden bei Epilepsie-assoziierten Periventrikulären Nodulären Heterotopien
Authors:   , Martens Michelle Adája
Published: October 2024

Patienten/Innen (Pat.) mit Periventrikulärer Nodulärer Heterotopie (PNH) leiden häufig an pharmakoresistenter Epilepsie. Zur Identifizierung epileptogener Strukturen werden in der Forschung verschiedene Parameter als Marker für Epiletogenität untersucht. Der mittels Magnetenzephalographie (MEG) ermittelte Delta-Power-Wert ist nach der Literatur mit ischämischen und strukturellen Hirnläsionen, sowie mit wiederkehrenden epileptischen Anfällen assoziiert. Diese Studie untersuchte die Aussagekraft von durch Sensordatenanalyse ermittelte Delta-Power-Werte bei PNH Pat.. Dazu wurde eine Kohorte von 16 PNH Pat. und 16 nach Alter und Geschlecht gematchten Kontrollen mittels MEG, Magnetresonanztomographie (MRT) und neuropsychologischer Testung untersucht. Es wurden mögliche Unterschiede der Delta-Power-Werte zwischen an PNH erkrankten Epilepsiepatienten/innen und gesunden Kontrollen untersucht. Zudem wurde der Zusammenhang der Delta-Power-Werte einerseits mit Lokalisation und Volumen der Heterotopien und andererseits mit den neuropsychologischen Fähigkeiten (visuomotorischen Verarbeitungsgeschwindigkeit und exekutiven Funktion) untersucht. Die Untersuchungen zeigten, dass das die Delta-Power-Werte sowohl global als auch lokal keine Aussagekraft über Lokalisation, Volumen oder Epileptogenität der PNHs hatten. Die exekutive Funktion und visuomotorische Verarbeitungsgeschwindigkeit waren bei den PNH Pat. signifikant schlechter als bei den gematchten Kontrollen. Zusammenfassend deuten diese Untersuchungen daraufhin, dass weder Delta-Power-Werte an sich oder Delta-Power-Werte im Sensorraum einen diagnostischen Wert bei PNH Pat. hatten. Die neuropsychologischen Tests hingegen zeigen Unterschiede der Gruppen auf und könnten daher als diagnostisches Kriterium betrachtet werden. Um feststellen zu können, ob Delta-Power-Werte an sich, oder aber Sensordaten nicht aussagekräftig in der Diagnostik von PNHs sind, müssten die MEG-Daten erneut mit veränderter Untersuchungsmethode (Quelldatenanalyse statt Sensordatenanlayse) untersucht werden.
REIMAGINING CLASSROOM PRACTICES WITH THE LENS OF VIRTUAL REALITY AND AUGMENTED REALITY FOR QUALITY LEARNING TEACHING IN SCHOOLS
Authors: Dr Anjali Bhatnagar
Published: October 2024

The school education sector is gearing up for Virtual reality (AR) and augmented reality (AR) technologies to find place in classroom learning practices. VR immerses students in a simulated environment, while AR enhances the real-world environment with digital content.  This technology allows students to experience situations that may not be possible or safe in real life. It provides a more engaging and interactive learning experience in all subjects.  This study evaluates the impact of VR and AR implementation in classrooms on students learning outcomes. The study analysis investigates the use of VR and AR in science subject. Research shows that VR and AR can enhance student motivation, engagement, and retention of knowledge. In science classes, VR simulations have been used to teach complex concepts resulting in improved understanding and higher achievements. Augmented reality has been used to provide students with a visual and interactive experience of processes, leading increased interest and understanding. Moreover, VR and AR can promote active and experiential learning, where students can experiment and explore, leading to deeper learning and critical thinking. Teachers can also use these technologies to personalize learning, adapt to different learning styles, and provide instant feedback to students.
However, challenges remain, including the cost and accessibility of VR and AR devices and the need for teacher training and support. Additionally, the effectiveness of these technologies may vary depending on the subject and the age of the students.
There is no apprehension in accepting the fact that VR and AR technologies have significant potential to redefine educational practices by providing a more immersive, engaging, and interactive learning experience. Future research to explore the long-term impact of these technologies and to identify best practices for implementation is the need of the hour.
ROLE AND SIGNIFICANCE OF INSURANCE IN INTERNATIONAL TRADE IN INDIAN CONTEXT
Authors: Dr. Kumari Reena  , Dr. Atul Dhingra
Published: October 2024

The insurance sector plays a critical role in international trade by providing risk mitigation services and products to businesses engaged in cross-border transactions. The risks associated with international trade can be substantial, ranging from political risks to physical risks, and insurance companies offer a variety of policies to help mitigate these risks. For example, export credit insurance protects exporters from the risk of non-payment by foreign buyers, while political risk insurance provides coverage for losses due to political events such as expropriation or war. Cargo insurance protects goods in transit from physical damage or loss, and marine insurance covers risks specific to transportation by sea.
By providing these essential services, the insurance sector helps to facilitate international trade by reducing uncertainty and increasing confidence among businesses. This, in turn, helps to foster economic growth, create jobs, and promote international cooperation and understanding. Insurance companies also provide services such as risk assessment and management, as well as guidance on compliance with international trade regulations. In addition, insurance policies can be customized to meet the specific needs of individual businesses involved in international trade.
Overall, the role of the insurance sector in international trade cannot be overstated, as it is a vital component of the global economy and a key enabler of international commerce. The insurance sector plays a vital role in facilitating international trade by providing the necessary protection and support to businesses engaged in cross-border transactions.
SOCIOPOLITICAL SYNDROME IN NAYANTARA SAHGAL: A STUDY
Authors: Dr. Khan Mahlaqa Afzal  , Sangeeta Tatyarao Dhepe
Published: October 2024

The paper seeks to explore the themes surrounding Nayantara Sahgal's personal and political history through her earlier works, which weave together the past of individual lives with the historical past of India. It is always acknowledged that politics is a component of society. Her uncle's insights into global history had an impact on her. Her historical and political consciousness informed her works. Isabel Allende, Gabriel Garcia Marquez, and Graham Greene are among the authors who have influenced her. Nehru's diplomatic foreign policy is the novel's high point. She uses a variety of political life aspects to seamlessly merge the personal and the political. She places emphasis on the humanistic principles she adheres to, and the story turns into an examination of life quality. Her stories possess a warm, intimate quality.
REGENERATIVE BRAKING WITH POWER MONITORING IN ELECTRIC VEHICLES
Authors: Anitha C  , Bhargavi S  , Chinmaye C G  , Madhavi S
Published: October 2024

The duration of battery charging and the scarcity of charging stations are the main obstacles to the widespread usage of electric vehicles. We thus suggest a regenerative breaking system here. Every time the brakes are applied, a car might produce energy thanks to this mechanism. More power is produced with stronger brakes. In a braking drum, we employ a friction lining arrangement. The friction liner on a rotating drum does not wear down the drum. When the brakes are applied, the friction lining within the drum touches it, moving the motors attached to it in the same direction. This process uses the motors as a dynamo to produce electricity. This method so provides a regenerative braking system by enabling the automobile battery to be charged each time the brakes are used. It affects us both in different ways.
NOAM CHOMSKY’S TRANSFORMATIONAL GENERATIVE GRAMMAR FOR BEGINNERS
Authors: Dr. Joy Jacob
Published: October 2024

NOAM CHOMSKY’S TRANSFORMATIONAL GENERATIVE GRAMMAR FOR BEGINNERS
EMPOWERING WOMEN IN INDIA, WITH A SPECIAL REFERENCES TO SKILL DEVELOPMENT
Authors: Preety Kumari
Published: October 2024

The Indian Constitution provides both equality and the authority for the State to implement affirmative action measures in support of women, enabling them to enhance their livelihoods. The female population accounts for around 48% of the country's overall population. According to the constitution of India, women are recognized as full-fledged citizens of the nation and are entitled to the same rights as males. Indian women endure significant suffering due to the lack of recognition from the male-dominated culture. The objective of skill development, especially for women, is not only to train them for employment, but also to enhance the productivity of female workers by improving the standard of work they are involved in. Several significant obstacles must be tackled to provide a favorable environment for skill development within the female workforce. This study seeks to assess the influence of skill development on the empowerment of women.
USE OF STATISTICAL TOOLS TO STUDY THE CONSUMER PREFERENCE OVER GREEN PRODUCTS
Authors: Rameshchandra Parmar  , Dr. P. V. Dhandhukia
Published: October 2024

Now a days, people are more concerned with the environment change. Hence, they prefer environment friendly products. The present study is based on the behavior of consumers towards green products. To study this, a primary data set is taken. The data is collected through a questionnaire and the response of consumers of green product is collected to know their preference over the green products. The data is analysed in detail to describe the various statistical methods. The techniques used here are explained in detail. It is required to know the basics of the calculations if one wants to use these tools. From the data it is found that the consumers’ preference does depend on many parameters. The tabular and graphical presentation of the data is employed to give the clear picture of the responses. The relationship between two parameters responsible for the preferences of people over green marketing is shown by contingency tables and appropriate hypothesis tests are used to study the relationship between variables. A detailed discussion is done in the paper.
COMPARATIVE ANALYSIS OF BIODIESEL PROPERTIES DERIVED FROM WASTE MUSTARD OIL AND FRESH MUSTARD OIL
Authors: Nikita Pandey  , Pallavi Katiyar  , T. P. Singh
Published: October 2024

This study investigates the production of biodiesel from waste mustard cooking oil and fresh mustard oil, focusing on their comparative properties. Biodiesel, a renewable energy source, offers a sustainable alternative to fossil fuels, mitigating environmental concerns and enhancing energy security. The production process involves transesterification, converting triglycerides into fatty acid methyl esters (FAMEs), the primary constituents of biodiesel. Waste cooking oil, often discarded improperly, poses environmental challenges due to its disposal. Utilizing it for biodiesel production presents an eco-friendly solution while addressing waste management issues. Mustard oil, a common edible oil, serves as a viable feedstock for biodiesel production, offering potential economic benefits and reducing dependency on fossil fuels.
THE SYNERGY BETWEEN THE NATIONAL EDUCATION POLICY (NEP) AND THE NATIONAL CURRICULUM FRAMEWORK (NCF) IN INDIA: A COMPREHENSIVE ANALYSIS
Authors: Dr. Dipankar Biswas
Published: October 2024

The educational landscape in India has witnessed significant reforms with the introduction of the National Education Policy (NEP) and the ongoing implementation of the National Curriculum Framework (NCF). These two foundational documents play crucial roles in shaping the direction of education in the country. This paper aims to explore the synergies between NEP and NCF, highlighting how their alignment enhances the quality, inclusivity, and relevance of education in India.
HYDROLOGICAL IMPACT OF LAND USE AND LAND COVER CHANGE IN THE UPPER GODAVARI BASIN, MAHARASHTRA, INDIA
Authors: J. C. Patil  , S. T. Wanjari  , H. S. Chaudhari  , A. C. Kalel  , V. R. Saraf
Published: October 2024

This study examines how changes in land use in the Upper Godavari River Basin of India affect hydrology. The ArcView Interface of Soil and Water Assessment Tool (AVSWAT2000) was utilized to figure out the alteration in land use. With the LANDSAT data that was accessible in ArcMap, landcover maps for the years 2003, 2013, and 2023 were created. The WRIS portal, sourcing ground water level data for 2003, 2013, and 2023 as well as the river point data for 2003 to 2013 by CADA, Chhatrapati Sambhaji Nagar formed the linking components. According to the study, there was a discernible growth in the areas of other basin components during these three decades, whereas there was a notable decline in the scrubland area (89.59%). In addition, a decrease in ground water levels was observed along with an increase in river discharge. Increased urbanization in the river basin was the main factor causing discharge to rise and ground water levels to fall at the sub-basinal scale. According to these findings, the SWAT model seemed to be a helpful tool for identifying LULC changes so that the relationship between LULC, river discharge, and ground water levels may be better understood.
INTEGRATING TECHNOLOGY IN ELEMENTARY EDUCATION: ENHANCING STUDENT ENGAGEMENT IN THE DIGITAL AGE
Authors: Dr. Lysette D. Cohen  , Dr. Ashley McIntyre
Published: October 2024

This paper explores integrating technology in elementary education to enhance student engagement and differentiated instruction. By leveraging digital tools such as tablets, laptops, and interactive software, educators can create dynamic and personalized learning environments that move beyond traditional methods. The study reviews various research findings, highlighting the benefits of technology in increasing student engagement, fostering flexible learning spaces, and promoting higher cognitive and interactive involvement. It also examines the role of technology in supporting differentiated instruction, enabling teachers to tailor their approaches to meet diverse student needs. Furthermore, the paper discusses the shift towards student-centered learning, emphasizing the importance of aligning curricula with digital resources to engage students actively in their learning process. Key strategies for designing digital-age learning experiences and assessments are presented, showcasing real-world applications that connect students with peers and experts globally. The paper concludes by emphasizing the need for ongoing professional development for teachers to adapt to the evolving digital landscape, ultimately preparing students for the demands of the digital age.
A STUDY ON SOCIO ECONOMIC STATUS OF MALE ATHLETES AND BASKETBALL PLAYERS OF AMRAVATI UNIVERSITY
Authors: Dr. Umesh Rathi
Published: October 2024

The study was conducted to investigate the socioeconomic status of junior athletes and basketball players of SGB Amravati University.
For the present study, 100 athletes and 100 basketball players were selected who participated at intercollegiate tournament. The socio economic status questionnaire prepared and validated by Kuppuswany was used for the purpose of data collection to find out the significant effect of socio economic status of athletes and basketball players. Mean, standard deviation, t-value and co-relation were computed. Result of the study positively co0relate and it clearly indicate that the parents of basketball players are partially positioned in their respective education when compared with the parents of athletes.
STEM LEARNING ENVIRONMENT: A INNOVATIVE TEACHING METHOD
Authors: Md Mujahid Alom  , Ritesh Ranjan
Published: October 2024

Inclusive practices are fundamental to STEM learning environments, ensuring that all students have equitable access to opportunities and resources. Teachers employ differentiated instruction, provide support for diverse learning needs, and create a culture of respect and acceptance. By embracing diversity and inclusivity, STEM learning environments foster a sense of belonging and empower all students to succeed. Teacher facilitation and mentorship are essential components of STEM learning environments. Teachers guide students through the learning process, inspire curiosity and enthusiasm for STEM subjects, and provide support and encouragement as students explore and discover. As facilitators and mentors, teachers model lifelong learning, collaboration, and ethical practices, preparing students to become engaged citizens and leaders in STEM fields and beyond.
प्रारंभिक शिक्षा में चित्र एकीकृत पाठ्यपुस्तकों का महत्व
Authors: राजेश कुमार निमेश
Published: October 2024

प्रारंभिक बचपन की शिक्षा में चित्र आधारित पाठ्यपुस्तकों की भूमिका बहुत महत्वपूर्ण है, जो विकास के नए-नए आयामों से बच्चों को प्रभावित करती है। मुख्य रूप से, चित्र आधारित पाठ्यपुस्तकें विविध शब्दावली और सही व्याकरणिक संरचनाओं से परिचित कराकर भाषा विकास के लिए उत्प्रेरक का कार्य करती हैं, जिससे प्रवाह और संचार कौशल में वृद्धि होती है। इसी प्रकार, प्रेरणा, आलोचनात्मक सोच, समस्या-समाधान जैसी क्षमताओं और शैक्षणिक सफलता के लिए आवश्यक समझ एवं कौशल को बढ़ावा देती है। पुस्तकों में बने रंग-बिरंगे चित्र बच्चों में कल्पना और रचनात्मकता को प्रज्वलित करती हैं, जोकि बच्चों को उनकी अलग दुनिया और विचारों में ले जाती हैं, जबकि जटिल भावनाओं और नैतिक दुविधाओं का पता लगाने वाली चित्रित कहानियों के माध्यम से भावनात्मक विकास को बढ़ावा देती हैं। इसलिए इस आलेख में माध्यम से प्रारंभिक स्तर पर चित्र आधारित पाठ्यपुस्तकों के महत्व, पाठ्यपुस्तकों में चित्रों के प्रकार, आकर, माप और रंग, चित्रों का सीखने पर प्रभाव, पारंपरिक पाठ्यपुस्तकों में प्रकाशित चित्रों, डिजिटल छवियाँ एवं पाठ्यपुस्तकों में चित्रों का शैक्षिक उपियोगिताओं को प्रस्तुरत किया है।
NIGHTSHADE NECTAR: A MULTIFACETED DIVE INTO MEDICINAL, POLLEN, AND STEM ANATOMIES OF FIVE SOLANACEAE WONDERS
Authors: Dr. Chithra M.  , Nafeesa Bhayan
Published: October 2024

This comprehensive study delves into the intricate anatomy and reproductive biology of five prominent members of the Solanaceae family: Capsicum frutescens L., Solanum lycopersicum L., Solanum torvum Sw., Datura stramonium L., and Solanum melongena L. Through detailed anatomical examinations, including stem structure analyses, and investigations into pollen germination processes, this research elucidates the unique characteristics and adaptations of each species. Additionally, the study provides essential insights into the materials required for free-hand sectioning and pollen viability testing, facilitating further research in plant anatomy and reproductive physiology. With a focus on both morphological and physiological aspects, this work contributes to a deeper understanding of Solanaceae plant species and their ecological significance.
SYNTHESIS STRUCTURAL AND MAGNETIC PROPERTIES OF TITANIUM DOPED MAGNESIUM ZINC FERRITE
Authors: Sruthi P.
Published: October 2024

Magnetic ceramics or ferrites are very well established group of magnetic materials which exhibits ferrimagnetism. It possess high electrical resistivity, low eddy current and dielectric loss  which makes it superior than the other ordinary magnetic oxides that contain the ferric oxide  (Fe₂O₃) as their basic magnetic compounds. The ceramic magnets are widely used in high frequency transformer application. [(Mg,  Mn, F12o4)] spinels are used in square-loop application. Ceramic materials found application in nuclear physics. In nuclear reactors ceramics are used as core components. The studies include the preparation and analysis of Titanium doped Magnesium zinc ferrite. Here, Titanium doped magnesium zinc ferrite nanoparticles (NPS) were synthesized using solid state reaction method. Titanium doping can enhance the magnetic properties of magnesium zinc ferrite in several ways these can contribute to improved magnetic properties , such as increased magnetic moment, saturation magnetization, and magnetic ordering , making titanium – doped magnesium zinc ferrite a promising material for various applications including magnetic storage, sensors, and spintronics. According to the stoichiometric equation [Mg0.9Zn 0.1TixFe2-xO4] at different values of x, (x=0.1, 0.3) are synthesised. Calcination and sintering of the samples is made by high temperature PID controlled muffle furnace which can go up to 1000°C. The structural and magnetic properties are examined using XRD, FTIR and Curie temperature analysis.  From the XRD analysis it revels the phase structure and lattice parameters of the samples. XRD analysis gives maximum intensity of (h k l) values as (3 1 1) in both cases. It also reveals that no secondary phases are produced during growth. That means the specimens FCC stacking. FTIR analysis of the samples done using Fourier transformer infrared spectroscopy. From this analysis it revels the detailed atomic structure and bonding of the samples. The bands obtained reveal spinal ferrite structure. Curie temperature of the specimens is determined by Curie temperature apparatus for the study of magnetic properties of the specimens.
RAM MANOHAR LOHIA'S CONTRIBUTIONS TO SOCIALIST THOUGHT IN INDIA: A CRITICAL PERSPECTIVE
Authors: Anitha S. V.  , Dr. Swamy H.
Published: October 2024

This research paper critically evaluates Ram Manohar Lohia's contributions to socialist thought in India, examining the practicality, relevance, and impact of his socialist ideals on Indian society and politics. Through an analysis of Lohia's key principles, socio-political context, and historical legacy, this study provides a nuanced understanding of Lohia's role in shaping the socialist discourse in India. The paper explores Lohia's emphasis on economic equality, decentralization, and village-centric development, highlighting how these ideas were shaped by his experiences in the Indian independence movement. While Lohia's ideas resonated with many and influenced post-independence socialist thinking, they also faced criticisms regarding their feasibility and practicality in the diverse Indian socio-economic landscape. The conclusion offers a final assessment of Lohia's contributions, acknowledging their significance while also recognizing the complexities involved in implementing socialist principles in India. The paper concludes with suggestions for further research, including exploring the enduring relevance of Lohia's ideas in contemporary India and conducting comparative studies with other socialist thinkers and movements globally.
भारतीय भाषाएँ और हिन्दी
Authors: G. Kodanda Ramulu
Published: October 2024

भारतीय भाषाएँ और हिन्दी
HARNESSING THE POWER OF WORDS
Authors: Dr. S. Devika Rani  , G. Madhavi
Published: October 2024

The interplay between language and emotions is a captivating facet of human communication, underscored by the profound impact words wield in eliciting emotional responses. This exploration delves into the intricate mechanisms through which words have the power to evoke a spectrum of emotions, ranging from joy and empathy to anger and sadness. Drawing upon insights from psychology, neuroscience, and linguistics, this study delves into the cognitive processes and neural pathways involved in the emotional interpretation of words. It illuminates how factors such as semantics, syntax, and linguistic context contribute to the emotional resonance of language, shaping individual experiences and interpersonal interactions. Moreover, cultural norms and social contexts influence the emotional connotations of words, adding layers of complexity to their affective potency.
This paper delves into the intricate interplay between words, emotions, and actions, exploring language's profound impact on shaping human experiences and behaviors. Recognizing words as potent conveyors of emotions, we delve into the psychological and physiological responses triggered by linguistic stimuli. Drawing on extensive research in linguistics, psychology, and neuroscience, we illuminate how specific words can elicit a spectrum of emotions, influencing individuals' cognitive processes and decision-making.
Furthermore, we scrutinize the ripple effect of emotional language on subsequent actions, unraveling the dynamic relationship between verbal expression and behavioral outcomes. Through an interdisciplinary lens, this paper navigates the terrain of linguistic influence on social interactions, societal norms, and personal development. By understanding the nuanced connections between words, emotions, and actions, we aim to shed light on the transformative potential of mindful language use, paving the way for a more empathetic and intentional communication paradigm.
SATIRE AND BIAS IN POLITICAL ALLEGORY: ANALYZING ORWELL AND STEINBECK
Authors: Nathan Siu
Published: October 2024

This paper examines the reliability of political allegories in literature, focusing on George Orwell's Animal Farm and John Steinbeck's Of Mice and Men. The study analyzes how allegories can introduce bias and inaccuracies, leading to misinterpretations of real-world political situations. By employing satire, authors exaggerate certain aspects, which can skew readers' perceptions and foster prejudice. The paper highlights the importance of understanding these literary devices and the need for readers to conduct their own research to gain a complete and truthful understanding of the topics discussed. The analysis underscores the dual nature of political allegories as both insightful critiques and potential sources of misinformation.
INTEGRATING CARE: ENHANCING MENTAL WELL-BEING IN PEDIATRIC ONCOLOGY THROUGH TECHNOLOGY AND YOUTH ENGAGEMENT
Authors: Syesha Vaish  , Dr. Abhay Gupta
Published: October 2024

This paper explores the mental health challenges faced by pediatric oncology patients, arising from both the biological effects of cancer and the psychological stresses of treatment. It evaluates the effectiveness of existing therapeutic interventions like Clown Care and laughter yoga, and assesses the potential of advanced technology-based interventions and integrated care models. The paper also discusses the role of high school students in advancing research and supporting these interventions through volunteering. The goal is to illustrate how technological innovations alongside youth involvement can contribute to the mental well-being of pediatric oncology patients.
बी.एड. के विद्यार्थियों की शिक्षण अभिक्षमता एवं भाषा दक्षता का सांवेगिक बुद्धि के संदर्भ में तुलनात्मक अध्ययन (कानपुर जिले के संदर्भ में)
Authors: डॉ. विनीता  , उम्मेद सिंह
Published: October 2024

षिक्षा ही व्यक्ति में आत्मविष्वास, आत्म चिंतन को पैदा करती है तथा उसमें विवेकषीलता, तर्कषीलता, निर्णय शक्ति का विकास करती है। अतः समाज के प्रत्येक स्तर पर व व्यक्ति के लिए षिक्षा हासिल करने की जरूरत विकासषील देष व समाज हेतु आवष्यक मानी गई है। शिक्षा द्वारा मनुष्य के भीतर एक विस्तारित दृष्टि विकसित होता है। जिससे वह जीवन कीे समस्त घटनाओं को एक विस्तृत दृष्टिकोण से देख सकता है। शिक्षा जीवन भर चलने वाली प्रक्रिया है जिसके द्वारा बालक का मनोवैज्ञानिक, शारीरिक, मानसिक, सामाजिक और सांस्कृतिक विकास संभव हो सकता है। शिक्षा का मुख्य उद्देश्य बालक के अंदर समाहित असीम संभावनाओं का विकास करना है। शिक्षा द्वारा बालक की योग्यता क्षमता, रुचि तथा अंतर्निहित गुणों का इस प्रकार से विकास करना है कि वे समाज में एक प्रतिष्ठित नागरिक के रूप में अपने आप को स्थापित कर सकें। इस षोध अध्ययन के लिए उद्देश्यपूर्ण नमूना विधि के माध्यम से कानपुर जिले के विभिन्न स्व-वित्तपोषित शिक्षक प्रशिक्षण संस्थानों के 600 बी.एड. के विद्यार्थियों का चयन किया है। जिसमें पाया कि उच्च सांवेगिक बुद्धि एवं निम्न सांवेगिक बुंिद्ध के संदर्भ में ‘षिक्षण अभिक्ष्मता, भाषा दक्षता के प्रति ज्ञान सम्मिलित रूप से महिला एवं पुरूष वर्ग के के बी0एड0 विद्यार्थियों के समूह में तुलनात्मक रूप में लगभग समान पाया गया है परिणाम स्वरूप कहा जा सकता है कि षिक्षण कौषल सम्बंधी ‘शिक्षण अभिक्षमता‘ जैसे गुणों के प्रति ऐसे गुणों के संयोग जिनसे कुछ विषिष्ट ज्ञान एवं संगठित अनुक्रियाओं की कुषलता में महिला बी0एड0 विद्यार्थी एवं पुरूष बी.एड. विद्यार्थियों के समूह की तुलना में कम अन्तर पाया गया है इसलिए कहा जा सकता है कि कार्य कुषलता की योग्यता सम्बंधी ‘शिक्षण अभिक्षमता‘ के प्रति कुषलता एवं योग्यता का ज्ञान दोनों ही विद्यार्थियों के समूह में समान ही है क्योंकि दोनों विद्यार्थियों के समूह में उनका षैक्षिक स्तर व शैक्षणिक समानता तथा शैक्षणिक संसाधनों का समान वितरण, योग्य और अनुभवी षिक्षक की आयु, गुणवत्ता, परिपक्वता एवं सामाजिक एवं राजनैतिक हस्तक्षेप व नेतृत्वता का गुण व भागीदारी अधिक होने तथा नवीनतम् प्रौद्योगिकी की समान उपयोगिता के कारण ‘शिक्षण अभिक्षमता‘ के लिये कौषल प्राप्ति की ज्ञान की अभिलाषा से षिक्षको में अधिक ज्ञान होना एवं निपुणता का होना व पेषेवर प्रतिबद्धता का होना विकासात्मक अवधारणा में उनके अध्ययन, अध्यापन के लिए दोनों समूह को ज्ञान के प्रति से वर्तमान षिक्षा प्रणाली, उनके अध्यापन षिक्षण विषयों में समावेष पाठ्यक्रम व उनकी अकादमिक विषयों के ंअध्ययन व अध्यापन में विषेषज्ञता एवं षैक्षिक सफलता या दक्षता में बहुत ही कम अन्तर होने को स्पष्ट करता है अतः नवीनतम ज्ञान प्राप्ति के संचार के साधनों का समान उपयोग करने के कारण दोनों समूह में कुछ विषेष परिस्थ्तिियों को छोडकर समान ‘शिक्षण अभिक्षमता‘ एवं भाषा दक्षता पाई गई है।
राष्ट्रीय स्वतंत्रता आंदोलन में आजाद हिन्द फौज की भूमिका
Authors: डॉ. दिलीप कुमार यादव
Published: October 2024

आजाद हिन्द फौज (इण्डियन नेशनल आर्मी) का गठन कैप्टन मोहन सिंह, रासबिहारी बोस एवं निरंजन सिंह गिल ने मिलकर 1942 में किया था जिसे बाद में नेताजी ने पुनर्गठित किया और इसमें नई शक्ति का संचार किया। कई इतिहासकार और तथ्य यह साबित करते हैं कि सुभाष चन्द्र असल मायनों में हीरो थे। उनकी गतिविधियों ने ना सिर्फ अंग्रेजों के दाँत खट्टे कर दिए बल्कि उन्होंने देश को आजाद कराने के लिए अपनी एक अलग फौज भी खड़ी की थी जिसे नाम दिया आजाद हिन्द फौज। अंग्रेजों ने उन्हें देश से तो निकालने पर विवश कर दिया लेकिन अपने देश की स्वतंत्रता के लिए उन्होंने विदेश में जाकर भी ऐसी सेना तैयार की जिसने आगे जाकर अंग्रेजों को दिन में ही तारे दिखाने का हौसला दिखाया। नेताजी सुभाषचन्द्र बोस का मानना था कि भारत में अंग्रेजी हुकूमत को खत्म करने के लिए सशस्त्र विद्रोह ही एक मात्र रास्ता हो सकता है। अपनी विचारधारा पर वह जीवनपर्यंत चलते रहे और उन्होंने एक ऐसी फौज खड़ी की जो दुनिया में किसी भी सेना को टक्कर देने की हिम्मत रखती थी। सुभाषचन्द्र बोस ने हमेशा पूर्ण स्वतंत्रता और इसके लिए क्रांतिकारी रास्ते ही सुझाए, उन्होंने ही ‘‘तुम मुझे खून दो, मैं तुम्हें आजादी दूँगा‘‘ और ‘‘दिल्ली चलो‘‘ जैसे नारों से भारतीय स्वतंत्रता संग्राम में नई जान फूँकी थी।
TEXT BASED MASS OPINION MINING USING NEURAL NETWORK ALGORITHM WITH ABSTRACTIVE SUMMARIZATION
Authors: Chandhine V.  , Bhuvana I.  , Athithyaa R.  , Nivetha V.  , Prof. M. Ezhilarasan
Published: October 2024

Our work, which focuses specifically on Twitter data, presents an advanced methodology for large-scale opinion mining. Sentiment analysis, or opinion mining, is the process of mechanically identifying and categorizing sentiments from textual data. We achieve accurate sentiment categorization and informative result summarizing by combining the latest neural network methods with abstractive summarization techniques. Tokenization, a crucial stage in natural language processing (NLP) activities, is where we start by using BERT (Bidirectional Encoder Representations from Transformers). By capturing the contextual subtleties of language used in Twitter tweets, BERT's contextual embeddings facilitate accurate tokenization. Our model successfully captures the textual data by utilizing BERT's capabilities, which paves the way for further sentiment analysis. We then apply Bidirectional Long Short-Term Memory (BiLSTM) to sentiment categorization. Recurrent neural networks (RNNs) such as BiLSTM are particularly good at recognizing sequential dependencies in data. Sentiment analysis relies heavily on word order since sentiments are frequently influenced by the context that words that come before and after give. Our model's incorporation of BiLSTM allows it to precisely classify tweets as either positive or negative by capturing these sequential dependencies. We also present an abstractive summary element to produce brief summaries that capture dominant attitudes in the dataset. Abstractive summarization generates logical summaries that encapsulate the main ideas of numerous tweets, going beyond simple sentence selection and concatenation. We evaluate the quality of the generated summaries and the accuracy of sentiment categorization achieved by our model through extensive experimentation on a representative and diversified Twitter dataset. Our findings show how reliable and effective our approach is at identifying significant sentiment trends and offering insightful information about the general thoughts shared on Twitter. In the end, our work advances the field of opinion mining and provides useful instruments for deciphering and evaluating massive amounts of social media data.
RIGHT AND DUTY OF PHYSICIAN-PATIENT IN MEDICAL CONTEXT
Authors: Ranjana Yadav  , Prof. Ameeta Jaiswal
Published: October 2024

In my duties, the rights of others are included, and in my rights, the duties of others are also included. Just as we can see in the education field where the teacher's duty is to give the right education and it is the right of the learner to get the right education, in the same way, the learner's duty to respect the teacher and the teacher's right to respect of his autonomy. Duty and right are the two parts of one coin (life). Generally, there are some duties to protect human rights (education, information, health, freedom of speech and expression) same some duties (duty of care, not to harm, to benefit, to give good faculties, respect others, to speak the truth) prescribed by medical ethics towards the Patient and Physician to protect rights (right to life, respect to autonomy and dignity, right to health, right to cure, right to select the cases). So we see here, that the Physician's duties become the rights of the Patient, for example, the Physician's duty is to do best for the Patient's health, and the Patient's right is the right to health. In the medical field, the Physician's duty is to respect the Patient's choice and Patient's right is to select an excellent medical option. We always discussed the Patient's rights (Respect, dignity, and autonomy) and the Physician's duties (Doing his best for the Patient's health) and obligations ( not harming the Patient) instead of the Physician's rights (Rights to reject and select treatment and cases) and the Patient's duties ( Respecting the physician and following the physician’s suggestion, Prescriptions) and obligations ( not harming the Physician), If we start to give priority to duties of patients and the rights of physicians, then we will create an actual , mutual partnership model which will connect truly both parties and give equal importance and respect ultimately ending  all the conflict related to Physician-Patient relationship. We can also fill the gap in thoughts and motives between both because if both begin to realize their responsibilities and obligations and respect each other's rights, all the clashes between them will come to an end. In this paper, I will discuss the duties and rights of doctors and patients, which can help bridge the gap between both relations and make them equal participants with each contributing actively and not just passively.
SPEECH-TO-TEXT TRANSCRIPTION FOR CORPORATION GRIEVANCE CALLS
Authors: Sampath MK  , Sujeet P.  , Sanjay P.  , Sanjay S.  , Soundarrajan A.
Published: October 2024

To evaluate and enhance an existing open-source speech-to-text transcription tool for accurately converting feedback calls about citizen grievances into English text. The focus lies on achieving measurable improvements in transcription accuracy across calls made in Tamil or English. Rather than creating a new system, the project concentrates on refining an established open-source solution. The endeavor spans domains including Natural Language Processing (NLP), speech recognition algorithms, and machine learning. Through this effort, the objective is to enhance the tool's efficacy in processing multilingual data and better serve the needs of diverse linguistic communities in citizen grievances.
NAVIGATING CHANGE: INVESTIGATING THE ECONOMIC, SOCIAL, AND ENVIRONMENTAL IMPLICATIONS OF PANAMA CANAL EXPANSION
Authors: Dr. Vishnu Prakash Mangu
Published: October 2024

The expansion of the Panama Canal, completed in 2016 with the introduction of the Third Set of Locks, represents a significant milestone in global maritime infrastructure. This original article, titled "Navigating Change: Investigating the Economic, Social, and Environmental Implications of Panama Canal Expansion," provides a comprehensive analysis of the far-reaching impacts associated with the monumental project.
The study examines the economic analysis, explores changes in shipping costs, shifts in global trade patterns, and the contribution of the expanded canal to Panama’s national revenue. It evaluates the social consequences, including the effects on local communities, workforce dynamics, and regional development initiatives. Furthermore, environmental ramifications, focusing on the increased water usage, potential for pollution, and ecosystem disruptions due to larger vessel traffic.
Through a multidisciplinary approach, this research paper presents a nuanced understanding of the expansion's impacts. The findings highlight the complexities and interdependencies of economic, social, and environmental factors, offering valuable insights into the broader implications of large-scale infrastructure projects. This study aims to inform policymakers, industry stakeholders, and academics about the sustainable development challenges and opportunities posed by the expanded Panama Canal, contributing to the discourse on balancing economic growth with environmental stewardship and social equity.