Awareness and Utilization of Library Resources and Services by M. Com Students and Faculty Members in College Libraries of Udupi District: A Case Study

The present study investigates the awareness and use of information resources and services by M. Com students and faculty members in First Grade College Libraries of Udupi District of Karnataka. For this survey the sample population consisting of 160 M. Com students and 15 faculty members from three selected First Grade Colleges from Udupi District. 175 well-structured questionnaires were distributed among the users, out of which 160(91.4%) had given their response. Findings revealed that most of the users were satisfied with the available library resources and services. On the basis of finding, some suggestions have included to increase user’s satisfaction from libraries. To conclude that, library should focus on user’s orientation programs to enrich and promote the use of library resources and services

The Role of CNN-RNN Hybrid Models and Attention Mechanisms in EEG Signal Recognition for Correct Seizure Detection

Epileptic seizure detection is crucial for effective management and treatment of epilepsy. This research proposes a novel hybrid model combining Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and attention mechanisms to enhance the accuracy and reliability of seizure detection from EEG signals. Utilizing the Bonn dataset, our method encompasses advanced preprocessing techniques, including noise reduction and wavelet transforms, to capture multi-scale features from raw EEG data. CNNs extract spatial features, while Bidirectional Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) capture temporal dynamics, with attention mechanisms further refining feature relevance.To ensure interpretability and trust, Explainable AI (XAI) techniques such as saliency maps, Grad-CAM, and attention maps are integrated. The hybrid model demonstrates superior performance, achieving 95.2% accuracy, 94.1% sensitivity, and 96.5% specificity, significantly outperforming existing methods.The research highlights the model\u27s robustness through comprehensive evaluation metrics and comparative analysis. Future directions involve testing with diverse datasets, exploring more XAI methods, and real-time implementation. This study advances seizure detection by improving accuracy, interpretability, and clinical applicability, paving the way for enhanced patient care in epilepsy management

A Selective Review on Use of Information Resources and Services in Academic Libraries

More than seventy online studies were reviewed to identify awareness, usage, satisfaction, and challenges of using information resources and services in academic libraries by users. The main objective of this study is to review the literature on information resources and services regarding awareness, usage, impact, challenges, satisfaction levels of users of various academic libraries. The study includes research papers published in national and international journals and other sources available on the internet. A review of various studies revealed that users use library resources and services for various purposes. Studies reveal that most users are satisfied with print resources, but they face problems while accessing online resources due to lack of skills to use these resources. Most students today rely on online resources, but a lack of training prevents them from getting the information they need. Most of the studies have suggested that the library should play an important role in providing information literacy program and user studies at regular intervals in their institutions to provide better library and information services to the users

Effect of Clerodendrum serratum leaf extract on biochemical and oxidative stress parameters of testis in 7, 12-dimethylbenz[a]anthracene induced skin carcinogenesis in Swiss albino mice

The biochemical contents and antioxidant potential of Clerodendrum serratum (Verbenaceae) leaf extract (CSLE) on 7, 12-dimethylbenz[a]anthracene (DMBA) induced skin carcinogenicity in testis of mice was investigated. Group I received distilled water served as control. The skin lesions were induced by twice-weekly topical application of DMBA for 2 weeks on the shaved backs of group II, III, IV and V mice. CSLE was administered to group III, IV and V mice at the dose of 300, 600 and 900 mg/kg b.wt/day, for 4 week before DMBA application, and continued till 45 days. On 46th day the mice were sacrificed, testis were dissected out freed from adherent tissue and weighed to nearest milligram and evaluated the biochemical contents DNA, RNA, protein, glycogen, cholesterol, lactate dehydrogenase (LDH), Succinic dehydrogenase (SDH), acid phosphatase (ACP) and alkaline phosphatase (AKP) activities, oxidative stress parameters, levels of glutathione (GSH), thiobarbaturic acid reactive substances (TBARS), superoxide dismutase (SOD), catalase (CAT) and glutathione-s-transferase (GST). DMBA induced skin carcinogenesis decreased body and testis weight, DNA, RNA, protein, glycogen, GSH level, SDH, AKP, SOD, CAT and GST activities. But there was increase in cholesterol content, LDH, ACP activities and TBARS level. DMBA act via generating reactive oxygen species (ROS) as tumor initiator and free radicals inducing oxidative stress. The results revealed that there was a recovery in biochemical contents, dehydrogenases, phosphatases and oxidative stress parameters in testis. Thus, the present study inferred that CSLE administration significantly curtailed tumor development and counteracted all the biochemical effects. Many plant secondary metabolites exhibit potent anticarcinogenic potential and known to exert their effects by quenching reactive oxygen, inhibiting lipid peroxidation

Text Classification of Cancer Clinical Trial Eligibility Criteria

Automatic identification of clinical trials for which a patient is eligible is complicated by the fact that trial eligibility is stated in natural language. A potential solution to this problem is to employ text classification methods for common types of eligibility criteria. In this study, we focus on seven common exclusion criteria in cancer trials: prior malignancy, human immunodeficiency virus, hepatitis B, hepatitis C, psychiatric illness, drug/substance abuse, and autoimmune illness. Our dataset consists of 764 phase III cancer trials with these exclusions annotated at the trial level. We experiment with common transformer models as well as a new pre-trained clinical trial BERT model. Our results demonstrate the feasibility of automatically classifying common exclusion criteria. Additionally, we demonstrate the value of a pre-trained language model specifically for clinical trials, which yields the highest average performance across all criteria.Comment: AMIA Annual Symposium Proceedings 202

Evaluation of high temperature polymers

The purpose of this paper is to identify and develop arc-track resistant insulation materials that can operate reliably at 300 C. In the first phase, high performance polymers are evaluated based on structure, thermal stability and electrical properties. Next, the polymers are ranked according to performance and experimental characterization. Then, experimental evaluations in wire configuration are conducted. And selection is made based on performance and commerical potential

A Simple and Efficient Non-Noble Cathode Catalyst Based on Carbon Hollow Nanocapsules Containing Cobalt-Based Materials for Anion Exchange Membrane Water Electrolyzer

\ua9 2025 Wiley-VCH GmbH.An efficient approach for fabrication of non-noble metal-based electrocatalyst is desirable for designing the energy storage and conversion devices in real-world usages due to low cost and excellent catalytic properties. The preparation of hollow carbon capsules (HCC) containing cobalt (Co)-based electrocatalyst is reported by a simple synthesis process without using templates for the first time. Initially, cobalt phenylphosphonate (Co-MOF) nanorods are fabricated through a simple hydrothermal approach. The as-formed Co-MOF is covered with a thin coating of polydopamine (DP-Co-MOF) through chemical polymerization of dopamine in Tris-HCl (pH 8.5). The DP-Co-MOF is used as self-degraded template for the formation of HCC under pyrolysis. The formation mechanism and hydrogen evolution reaction (HER) activity of HCC are investigated. The hollow structure derived under N2 exhibits a low overpotential (295 mV at 100 mA cm−2) with excellent stability (90.98%) for 150 h, which is further verified by density functional theory (DFT) calculations. Finally, the designed anion exchange membrane (AEM) water electrolyzer based on C─Co─N as cathode delivers a current density of 500 mA cm−2 (at 2.19 V) and 1000 mAcm−2 (at 2.33 V) in 1.0 m KOH at 60 \ub0C. The fabricated new Co-based electrocatalyst is highly beneficial for the fabrication of cost-effective and high-performance AEMWEs

The Non-Destructive and Nano-Microstructural Characterization of Thermal-Barrier Coatings

The durability of thermal barrier coatings (TBCs) plays an important role in the service reliability and maintainability of hot-section components in advanced turbine engines for aerospace and utility applications. Photostimulated luminescence spectroscopy (PSLS) and electrochemical impedance spectroscopy (EIS) are being concurrently developed as complimentary nondestructive evaluation (NDE) techniques for quality control and liferemain assessment of TBCs. This paper discusses recent achievements in understanding the residual stress, phase constituents, and electrochemical resistance (or capacitance) of TBC constituents—with an emphasis on the thermally grown oxide. Results from NDE by PSLS and EIS are correlated to the nano- and microstructural development of TBCs

Purification and Biochemical Characterisation of Ricin from Castor Seeds

Ricin is a highly toxic plant toxin of Ricinus comtnunis seeds, commonly known as castor seeds. The toxin was extracted and purified using affinity and size exclusion  chromatography. The purity of ricin was evaluated by the sodium dodecylsulphate-polyacrylamide gel electrophoresis. Purified ricin gives a single band under non-reduced condition and two bands under reduced condition. The molecular weight of ricin was 65,0000 approx. The subunit structure of ricin on treatment with p-mercaptoethanol (1 %) at molecular level revealed that the reducing agent converts ricin into two peptides. The molecular weight of these two peptides was estimated to be 34000 and 32000. The western-blot analysis revealed two dots for its two peptides in 29 kDa to 36 kDa regions. The heamagglutination litres for ricin and Ricinus communis agglutinins were 1:8 and 1:256. The purity of purified ricin was further confirmed by the electrophoresis and the western-blot analysis. The Indian variety of castor seeds, known as Ricinus communis used in this study, contains approx. 0.12 per cent ricin

The Non-Destructive and Nano-Microstructural Characterization of Thermal-Barrier Coatings

The durability of thermal barrier coatings (TBCs) plays an important role in the service reliability and maintainability of hot-section components in advanced turbine engines for aerospace and utility applications. Photostimulated luminescence spectroscopy (PSLS) and electrochemical impedance spectroscopy (EIS) are being concurrently developed as complimentary nondestructive evaluation (NDE) techniques for quality control and liferemain assessment of TBCs. This paper discusses recent achievements in understanding the residual stress, phase constituents, and electrochemical resistance (or capacitance) of TBC constituents—with an emphasis on the thermally grown oxide. Results from NDE by PSLS and EIS are correlated to the nano- and microstructural development of TBCs