bluuebunny/crossref_metadata_2025 huggingface dataset:
Leasing impact on transformation processes in the Russian agricultural sector under sanctions pressure
Authors: Kiritsa A. A. , Chutcheva Yu. V.
Published: September 2024

At   the present stage, the issues of   sustainable development of  the Russian agricultural sector and strengthening its technical potential in  the context of   sanctions pressure are becoming especially relevant. One of   the most useful tools in   solving these problems is  leasing. The purpose of   this article is  to analyse promising directions for the development of   leasing as   the effective form of   technical support for agricultural production in  the current conditions. The study has used general scientific methods (analysis and synthesis, economic and statistical, graphical, etc.). The main trends now emerging in   the domestic market are highlighted from the point of  view of  manufacturers of   agricultural machinery and goods. With consideration to  the current situation in   the domestic market, decreased prices for agricultural products and rapid growth of   prices for agricultural machinery, the most promising areas for the use of  leasing mechanisms have been proposed to   help accelerate technical re-equipment in   the agricultural sector: application of   leasing solutions in   the agricultural industry that have already been tested and proven successful in   other market segments (for example, subscription, agrocarsharing, etc.); combination of   leasing mechanisms with trade-in programmes which make it  possible to  comprehensively solve issues not only of   updating machinery and tractor fleet, but also of  recycling worn-out agricultural equipment; use of   leasing mechanisms for the development of  machine and technological complexes as a   modern form of  joint use of   machinery in  agriculture which allows accelerating technical equipment of   the industry. The proposed directions can help ensure systemic development and quicken the technical re-equipment of   the Russian agricultural sector.
The AABBA Graph Kernel: Atom–Atom, Bond–Bond, and Bond–Atom Autocorrelations for Machine Learning
Authors: Morán-González Lucía , Betten Jørn Eirik , Kneiding Hannes , Balcells David
Published: September 2024

Graphs are one of the most natural and powerful representations available for molecules; natural because they have an intuitive correspondence to skeletal formulas, the language used by chemists worldwide, and powerful, because they are highly expressive both globally (molecular topology) and locally (atom and bond properties). Graph kernels are used to transform molecular graphs into fixed-length vectors, which, based on their capacity of measuring similarity, can be used as fingerprints for machine learning (ML). To date, graph kernels have mostly focused on the atomic nodes of the graph. In this work, we developed a graph kernel based on atom–atom, bond–bond, and bond–atom (AABBA) autocorrelations. The resulting vector representations were tested on regression ML tasks on a dataset of transition metal complexes; a benchmark motivated by the higher complexity of these compounds relative to organic molecules. In particular, we tested different flavors of the AABBA kernel in the prediction of the energy barriers and bond distances of the Vaska’s complex dataset (Friederich et al., Chem. Sci., 2020, 11, 4584). For a variety of ML models, including neural net- works, gradient boosting machines, and Gaussian processes, we showed that AABBA outperforms the baseline including only atom–atom autocorrelations. Dimensionality reduction studies also showed that the bond–bond and bond–atom autocorrelations yield many of the most relevant features. We believe that the AABBA graph kernel can accelerate the exploration of large chemical spaces and inspire novel molecular representations in which both atomic and bond properties play an important role.
Manganese-catalyzed [2+2+2] Cycloaddition Reactions
Authors: Baumann Benedikt N. , Dam Phong , Rabeah Jabor , Kubis Christoph , Brückner Angelika , Jiao Haijun , Hapke Marko
Published: September 2024

We report the cyclotrimerization reactions of triynes using Mn(I) complexes derived from MnBr(CO)5 and phosphine ligands such as 1,1-bis(diphenylphosphino)methane (dppm). These reactions are driven by irradiation under mild conditions (30-80 °C) without the need of additional photoinitiators. Our catalytic screening revealed that counter anions and ligands significantly influence the process. This method accommodates a broad range of functionalities in the substrates, including alkyl, aryl, Bpin, TMS, PPh2, pyridyl, and thienyl moieties, without notable interference in the transformation. Additionally, this method enables reactions with oligoalkynes like (un)substituted hexaynes, producing two-fold cyclization products in excellent yields. Under stoichiometric conditions, the cyclization of diynes with phosphaalkynes results in the first photochemical synthesis of phosphinines. Experimental and theoretical mechanistic studies indicate that the dissociation of the diphosphine ligand precedes the involvement of the Mn-carbonyl species in the catalytic cycle. The ligand plays a crucial role in stabilizing the catalyst during the transformation and preventing the formation of unreactive cluster species.
Constrained Nuclear-Electronic Orbital QM/MM Approach for Simulating Complex Systems with Quantum Nuclear Delocalization Effects Incorporated
Authors: Zhao Xianyuan , Chen Zehua , Yang Yang
Published: September 2024

The hybrid quantum mechanics/molecular mechanics (QM/MM) approach, which combines the accuracy of quantum mechanical (QM) methods with the efficiency of molecular mechanics (MM) methods, is widely used in the study of complex systems. However, past QM/MM implementations often neglect or face challenges in addressing nuclear quantum effects, despite their crucial role in many key chemical and biological processes. Recently, our group developed the constrained nuclear-electronic orbital (CNEO) theory, a cost-efficient approach that accurately addresses nuclear quantum effects, especially quantum nuclear delocalization effects. In this work, we integrate CNEO with the QM/MM approach through the electrostatic embedding scheme and apply the resulting CNEO QM/MM to two hydrogen-bonded complexes. We find that both solvation effects and nuclear quantum effects significantly impact hydrogen bond structures and dynamics. Notably, in the glutamic acid - glutamate complex, which mimics a common low barrier hydrogen bond in biological systems, CNEO QM/MM accurately predicts nearly equal proton sharing between the two residues. With an accurate description of both quantum nuclear delocalization effects and environmental effects, CNEO QM/MM is a promising new approach for simulating complex chemical and biological systems.
Non-Targeted Assessment of Environmental Contaminants and their Correlations with Semen Health Factors in New York City
Authors: Johnson Trevor A , Adelman Sarah , Najari Bobby B , Robinson Joshua F , Kahn Linda G , Abrahamsson Dimitri P
Published: September 2024

Characterizing chemical composition of semen can provide valuable insights into the exposome and environmental factors that directly affect seminal and overall health. In this study, we compared molecular profiles of 45 donated semen samples from general population New York City participants and examined the correlation between the chemical profiles in semen vs. fertility parameters, i.e., sperm count, sperm morphology, sperm motility and semen volume. Samples were prepared using a protein precipitation procedure and analyzed using liquid chromatography (LC) and high-resolution mass spectrometry (HRMS). Non-targeted analysis (NTA) revealed eighteen chemicals not previously reported in human exposome studies, with 3-hydroxyoctanedioic acid, a cosmetic additive, emerging as a plausible candidate found to be at higher levels in cases vs. controls (p < 0.01) and associated with adverse sperm motility and morphology. This study aims to be the first of its kind to utilize NTA to understand the association of contaminants of emerging concern (CECs) along with a full chemical profile to find trends separating poor and normal semen health parameters from each other chemically. Our results suggest that the collective effects of many CECs could adversely affect semen quality.
Photosynthesis of NH3 from NO3– using CH4 in Homogenous Re Catalysis at Room Temperature and Normal Pressure
Authors: Nakamura Genta , Sakurai Masaya , Kametani Yohei , Kawasaki Yudai , Shiota Yoshihito , Yoshizawa Kazunari , Ogo Seiji , Matsumoto Takahiro
Published: September 2024

We present rhenium (Re) catalysis of one-pot synthesis of ammonia (NH3) from nitrate (NO3–) using methane (CH4) as a reductant under ultraviolet (UV) light irradiation at room temperature and normal pressure. Currently, a large amount of NH3 is synthesized through nitrogen fixation by artificial methods in addition to natural synthesis. The amount of NH3 from the artificial Haber-Bosch process using hydrogen (H2) and nitrogen (N2) gases increases in industrial process, which causes the increases of amount of reactive nitrogens (Nrs) containing NO3– on the earth. NO3– leads to environmental issues such as water contamination, eutrophication and biodiversity loss. In a natural system and a sewage facility, NO3– can be detoxified to N2 using hydrogen donors by microbial process. However, it is better to convert NO3– to NH3 rather than N2 since N2 must be converted back to NH3 by the energy-intensive Haber-Bosch process. To develop a desirable process of NO3– to NH3 for a sustainable society, it is required that the reducing agent is derived from a renewable resource/energy. Thus, we turned our attention to CH4, which has high affinity with renewable resource/energy since it can be produced from livestock waste. Therefore, our system reported here is to directly convert NO3– to NH3 using CH4 with light energy without going through the Haber-Bosch process. To the best of our knowledge, this is the first time of NH3 synthesis from NO3– using CH4 as a reductant.
Fostering Research Culture Among Allied Health Professionals
Authors: Bhat Archana
Published: September 2024

None
Comparison of Inflammatory Markers in Pre and Post-Menopausal Women During First and Second Waves of COVID-19
Authors: J Sethulakshmi , G Vishalakshi , Shenoy Rajesh , Mukthayakka G , T Sanyuktha
Published: September 2024

Background The COVID-19 pandemic caused by Severe Acute Respiratory Syndrome Coronavirus 2 SARS-CoV-2 has had profound global effect. Certain populations including post-menopausal women have shown increased susceptibility to severe outcomes. This study explored the association between menopausal status and COVID-19 outcomes focusing on inflammatory markers. Elevated markers like Interleukin-6 IL-6 ferritin and C-Reactive Protein CRP have been linked to severe COVID-19 and could be influenced by hormonal changes during menopause.Methodology Data from Abhaya Hospital in Bengaluru Karnataka covering the period between March 2020 and September 2021 were analyzed retrospectively. Pre-and post-menopausal women aged 12 years and above who tested positive for COVID-19 via RTPCR were included. Inflammatory markers IL-6 ferritin Erythrocyte Sedimentation Rate ESR C-Reactive Protein CRP Creatine Phosphokinase CPK Lactate Dehydrogenase LDH D-Dimer were compared between the two groups using appropriate laboratory methods. Statistical analysis was conducted using SPSS version 19.Results Post-menopausal women exhibited significantly higher levels of IL-6 P0.03 ferritin P0.034 and CRP P0.004 compared to pre-menopausal women during both waves of COVID-19. ESR showed a notable increase P0.1 in post-menopausal women although not statistically significant. No significant differences were observed in CPK P0.07 LDH P0.2 or D-Dimer P0.12 levels between the two groups.Conclusion The study revealed that post-menopausal women have a pro-inflammatory profile characterized by elevated IL-6 ferritin and CRP levels which are associated with severe COVID-19 outcomes. These findings underscore the importance of considering menopausal status in COVID-19 management and highlight the need for personalized healthcare strategies for this vulnerable group. Further research should investigate underlying mechanisms and potential interventions.
A Comprehensive Review on Cluster-Oriented Routing Protocols for Underwater Wireless Sensor Networks
Authors:   Research Scholar Department of Computer Science Sri Krishna Arts and Science  College Coimbatore-641008, India, Subha S.
Published: September 2024

Underwater Wireless Sensor Networks (UWSNs) have emerged for various tasks in marine environments. Routing Protocols (RPs) in UWSNs face challenges such as high propagation delay, Energy Consumption (EC), low bandwidth, and low throughput compared to Terrestrial WSNs (TWSNs). UWSNs operate autonomously without human intervention, and the limited energy of sensor batteries poses a significant challenge. Uneven energy resource utilization reduces network longevity, which is a major issue in UWSNs. To combat these issues, a promising approach involves the design of RPs employing clusters for efficient packet routing from source to destination. This paper systematically reviews recent Cluster-oriented RPs (CRPs) in UWSNs, organizing them chronologically. It assesses their merits, drawbacks, and overall network performance, offering insights into future directions for improvement in this domain
CALIDAD DE SERVICIO Y SATISFACCIÓN DE LOS CONSUMIDORES DE UN RESTAURANTE, CHICLAYO
Authors: Alva Gonzales Erika Fiorella , Delgado Rojas Laura Julissa , Barboza Suxe José Jesler , Monja Serrato José Waldir
Published: September 2024

Este estudio tuvo como finalidad determinar la relación entre la calidad del servicio y la satisfacción de los clientes del restaurante Hebrón & Grill – Chiclayo, así mismo el estudio está orientado en contribuir al ODS N.8, promoviendo el crecimiento económico sostenible productivo de esta entidad delimitada. Bajo una investigación aplicada, de enfoque cuantitativo, alcance correlacional, de diseño no experimental y para el análisis de recolección de datos se empleó el instrumento del cuestionario, el cual fue diseñado para encuestar a 65 personas según el cálculo del muestreo aleatorio simple de fórmula finita. Los resultados relevantes evidenciaron que existe relación entre la calidad de servicio y la satisfacción de los clientes del establecimiento analizado, obteniendo un valor de Rho de Spearman de 0,869, así mismo se evidenció que existe relación entre las dimensiones de la calidad de servicio y la variable efecto, con valores de Rho de Spearman de 0,73 para la fiabilidad, 0,801 para la sensibilidad, 0,793 para la seguridad, 0,793 para la empatía, 0,756 para los elementos tangibles. Finalmente, los datos se obtuvieron debido a que todos los elementos que abarcan este aspecto empresarial según la teoría SERVQUAL, contribuyen significativamente en la percepción del consumidor basándose en el tipo de servicio que este recibe, para posteriormente presentar su agrado y fascinación logrando la segmentación empresarial esperada por la entidad.
Does Short Selling Regulate Insider Trading?
Authors: Shin Hyun Han , Yoon Pyung Sig
Published: September 2024

This study investigates the impact of short selling on the relationship between the insider net buying ratio and excess returns, as well as on insider selling volume. The research period is divided into three distinct phases: short selling allowed, short selling banned, and partial short selling. The two primary findings of the analysis are as follows. First, the profitability of insider trading, assessed through the relationship between the insider net buying ratio and excess returns, is impacted positively when short selling is banned and negatively when it is permitted. Second, the insider selling volume significantly increases following short selling bans and decreases when the same is allowed. These results suggest that short sellers function as a market discipline mechanism, regulating both the profitability and volume of insider trading. This indicates that short selling regulations wield a substantial influence on the behavior and profitability of insider trading.
The Impact of Applying English Chats of Whatsapp Application on Students’ English Vocabulary Mastery
Authors: Suhadi Iradatullah , Talib Ahmad , Sofyan Ryan Rayhana
Published: September 2024

This study aims to determine the impact of applying English chat on students' English vocabulary mastery through the WhatsApp application. It employs a qualitative research method with a qualitative descriptive design involving 10 students. Data collection techniques include observation, interviews, and documentation. The study reveals several impacts on students' English vocabulary mastery as a result of using English chats on WhatsApp, including improvements in word meaning, contextual usage, spelling, pronunciation, and understanding of word forms. However, there is a noted limitation regarding pronunciation development due to the nature of WhatsApp as a communication application, suggesting that face-to-face learning may be more effective in this aspect. Students perceive the impact of using English chats on WhatsApp positively, as they enjoy the learning experience and find teachers responsive to their questions. WhatsApp is regarded as a user-friendly application with potential educational benefits, accessible anytime and anywhere.Keywords—Vocabulary, Impact of English Chat, WhatsApp
Enriching Students’ Vocabulary Mastery Through English Spelling Bee Game
Authors: Nurwidia Nurwidia , Baa Sultan , Asriati Asriati
Published: September 2024

This study was conducted to investigate the enrichment of students' vocabulary proficiency through using the Spelling Bee game. The researcher employed a pre-experimental approach with a one-group pre-test and post-test design, collecting data through the administration of a test. The sample population for this research comprised 20 eighth-grade students, selected using the cluster random sampling technique. The finding of this research showed that the eighth grade students of SMP DDI Mattoanging have poor enough score in pre-test. After conducting the treatment of Spelling Bee Game, the students’ vocabulary mastery increase significantly. The result of the research showed that the mean score obtained the students through post-test (79.80) was higher than the pre-test (50.10). Vocabulary mastery improved 59.28% by using Spelling Bee game. Therefore, the researcher concluded that the enrichment of the students’ vocabulary mastery using Spelling Bee game was significantly enrich. Keywords— Vocabulary, Spelling Bee Game.
The Effects of Watching Captioned English Video on Incidental Vocabulary Learning Among Gifted Eight Grade Students of SMPN 3 Bissappu
Authors: Yawaningsih Nur Indri , Dollah Syarifuddin , Muliati Andi
Published: September 2024

The objective of this study was to identify the effect of watching captioned English on incidental vocabulary learning among gifted eighth grade students of SMPN 3 Bissappu. Pre-experimental design was used with the population of  SMPN 3 Bissappu eighth grade students in the academic year of 2022/2023. Through the purposive sampling technique 24 students from eight classes were selected as the sample of this study. Meaning and recall vocabulary test which was delivered as the pretest and the post-test was chosen as the instrument. The findings of this study implied that watching captioned English video affect the students’ incidental vocabulary learning. The mean score of students’ pretest was 61.41 which is lower than students’ post-test with a mean of 76. Indicating a 24% of improvement. Which means the students learn vocabulary without the intention of doing so. It could be concluded that watching captioned English video has an effect on increasing students’ incidental vocabulary learning.Key words—Vocabulary, captioned English Video, Incidental Vocabulary Learning
The Effectiveness of Cognitive Strategies Towards Students’ Reading Comprehension at SMA Negeri 1 Sampaga
Authors: Annisa Kh Nurun , Dollah Syarifuddin , Munir Munir
Published: September 2024

The purposes of this study were; 1) to find out if the use of cognitive strategies is effective to improve students' reading comprehension at SMA Negeri 1 Sampaga or not, and 2) whether or not students are interested in utilizing cognitive strategies in their reading comprehension learning. This study employed a quantitative approach with a pre-experimental design. The population of this study was students in class X at SMA Negeri 1 Sampaga, and the sample was 16 students in class X at IPS 1. The research data were collected by providing a multiple-choice reading comprehension test on the subject of descriptive text, as well as a questionnaire on a Likert scale to measure students' interest. The t-test and descriptive statistics were used to analyze the data. According to the Paired Sample T-Test results, the probability value (sig. 2-tailed) = 0.000 which is lower than the significance level of 0.05. The researcher then concluded the use of the cognitive strategies is effective in improving students reading comprehension at SMA Negeri 1 Sampaga. Furthermore, the 'interested' response dominates the questionnaire score of the students’ interest. The findings indicated that students are interested in implementing cognitive strategies in their reading comprehension learning.Keywords— Cognitive Strategies, Reading Comprehension, Students’ Interest, Descriptive Text.
Teachers’ Challenges in Classroom Management in Teaching English at SMKN 8 Bulukumba
Authors: Maulana Akbar , Munir Munir , Farahdiba Syarifah
Published: September 2024

Challenges of teachers in classroom management teaching English in SMKN 8 Bulukumba. All foreign language teachers face challenges in teaching and managing their classes. The objectives of this study are: (1) To investigate the teachers and their challenges in teaching English in SMKN 8 Bulukumba. (2) To investigate the challenges faced by English teachers in classroom management in SMKN 8 Bulukumba. The subjects of this study are two teachers who teach at SMKN 8 Bulukumba. In terms of teachers' difficulties in managing classrooms, teachers are faced with students' lack of motivation to learn English and students who disrupt the class while studying. About some of these challenges, it seems that there are many challenges in teaching and managing lessons when teaching English in the classroom.Keywords: Challenges, Teaching English, Classroom Management.
The Influence of Using Nearpod on the Students’ Enthusiasm in Classroom Discussion in Class X English at SMAN 2 Pangkep
Authors: Aulia Resky , Sunra La , Sandra Nani Feyby
Published: September 2024

The use of technology in learning as a means that can improve the quality of learning itself. Nearpod is a platform that allows teachers to create and send interactive learning materials to students via digital devices. This platform provides various features, including slide-based presentations, interactive questionnaires, assignments, and even opportunities for students to participate directly via their devices. This research uses the Classroom Action Research (CAR) method and aims to analyze the effect of using the Nearpod platform on the level of student enthusiasm in class discussion at SMAN 2 Pangkep. Research was carried out through a series of cycles consisting of planning, implementation, observation and reflection stages. At the planning stage, the teacher designs a learning plan that includes the use of the Nearpod platform. The implementation stage involves implementing the learning plan involving class X students. Based on the results of this research, it can be concluded that the use of the attractive Nearpod platform has a positive impact on student participation in English class discussions. Students who engage in learning with the engaging Nearpod platform show a more active level of participation in discussions. They are more courageous in expressing opinions, asking questions, and discussing with classmates. The use of the Nearpod platform has proven itself to be an effective tool for increasing student enthusiasm in class discussions. From the results of the survey conducted, 28 out of 30 students agreed that using Nearpod had had a positive impact on their participation in discussions. Keywords— Nearpod, Classroom Discussion, Students enthusiasm.
The Role of Mathematics in Machine Learning for Disease Prediction: An In-Depth Review in the Healthcare Domain
Authors: Abdillah  , Syaharuddin Syaharuddin , Mandailina Vera , Mehmood Saba
Published: September 2024

The rapid advancements in healthcare technologies and the increasing complexity of medical data have made it imperative to explore and optimize predictive models for disease management. This study aims to conduct a systematic literature review to identify advancements, challenges, and opportunities in disease prediction using machine learning (ML) within the healthcare domain. The literature sources include Scopus, DOAJ, and Google Scholar, covering the period from 2013 to 2024. The findings reveal that both machine learning (ML) and deep learning (DL) algorithms have significant potential for disease prediction and treatment outcomes in various clinical contexts. Algorithms such as Random Forest, Logistic Regression, and ensemble techniques like Boosting have demonstrated strong performance in numerous studies. However, the effectiveness of these algorithms is highly context-dependent, including the type of disease, patient characteristics, and available data. Deep learning, particularly Convolutional Neural Networks (CNNs) and hybrid Long Short-Term Memory (LSTM) models, excels in handling complex, high-dimensional data, providing higher prediction accuracy compared to traditional ML models. This research shows that deep learning models, especially CNN and hybrid LSTM, achieve higher accuracy in disease prediction compared to traditional ML models. However, challenges related to data quality, privacy, and the underlying mathematical modeling of these algorithms remain to be overcome for wider applications.
Pengaruh Academic Self Concept terhadap Student Engagement pada Mahasiswa Fakultas Psikologi Universitas “X” Bandung
Authors: Pratiwi Ciptaning Putri Kukuh Kusuma , Aulianti Jihan Eka
Published: September 2024

Penelitian ini bertujuan untuk menginvestigasi pengaruh Academic Self Concept terhadap tingkat Student Engagement pada Mahasiswa Fakultas Psikologi Universitas “X” Bandung. Latar belakang penelitian ini didasarkan pada pentingnya keterlibatan mahasiswa dalam pembelajaran dan bagaimana Academic Self Concept, sebagai faktor psikologis, dapat memengaruhi tingkat Student Engagement tersebut. Penelitian ini menggunakan pendekatan kuantitatif dengan desain penelitian deskriptif analitif dan jenis penelitian causal-explanatory. Metode penelitian melibatkan pengambilan sampel Mahasiswa semester 3, 5, dan 7 menggunakan teknik sampling purposive. Data diperoleh melalui kuesioner yang mencakup variabel Academic Self Concept dan tingkat Student Engagement. Kuesioner ini memiliki validitas yang baik dengan nilai pearson diatas 0.300. dari reliabililitas alat ukur, variabel Academic Self Concept memiliki nilai Alpha Cronbach sebesar 0.941, dan variabel Student Engagement memiliki nilai alpha Cronbach sebesar 0.926 yang berarti alat ukur reliabel. Analisis data dilakukan dengan menggunakan uji regresi untuk menguji pengaruh antarvariabel. Hasil penelitian menunjukkan bahwa terdapat pengaruh positif dan signifikan antara Academic Self Concept dan Student Engagement. Mahasiswa dengan tingkat Academic Self Concept yang tinggi cenderung menunjukkan tingkat Student Engagement yang lebih tinggi dalam lingkungan akademis. Saran praktis yang dapat diusulkan adalah mengembangkan program pembinaan Academic Self Concept yang terintegrasi dalam kurikulum, memfasilitasi akses Mahasiswa terhadap sumber daya dukungan akademis, dan menyelenggarakan seminar serta workshop mengenai strategi meningkatkan Student Engagement.
Scientific and technical assistance report on the evaluation of human‐identical milk oligosaccharides (HiMOs) as novel foods
Authors:   European Food Safety Authority (EFSA), Turck Dominique , Colombo Paolo , Fernández Estefanía Noriega , Fernández Pablo Rodríguez , Knutsen Helle Katrine
Published: September 2024

Abstract EFSA was asked by the European Commission to provide scientific and technical assistance on the evaluation of human‐identical milk oligosaccharides (HiMOs) as novel foods (NFs). In recent years, the number of authorisations of HiMOs as NFs has markedly increased, which may lead to situations of multiple concurrent uses. Since the safety assessment of HiMOs is based on the comparison with the ‘natural’ intake of human milk oligosaccharides (HMOs), i.e. the HMO intake from human milk in exclusively breastfed infants, a scoping literature review was outsourced to update the database of mean concentrations of single and total HMOs in human milk, and relevant HMO intakes were thus updated. It is noted that in infants up to 16 weeks of age exclusively fed with infant formula, when adding all the assessed HiMOs at their highest maximum use levels across production methods, the resulting highest daily intakes of single HiMOs and the sum of HiMOs are within the natural HMO intake range. These intakes were also estimated (DietEx) for the most exposed population groups (i.e., infants and young children) considering the highest maximum use levels in those food categories with the highest contribution to the overall HiMO intake (i.e., infant and follow‐on formulae, ready‐to‐eat meals, yoghurt and cow milk). The resulting highest P95 daily HiMO intakes were unlikely to be higher than the highest mean daily HMO intakes. However, any possible higher intake would not necessarily imply a safety concern since such natural intake estimates represent an upper end of average natural intakes. It can be concluded that currently there are no safety concerns resulting from the authorised or assessed HiMO intakes from their concurrent combined uses. Nonetheless, in consideration of the increased interest in the use of HiMOs as NFs, a simplified but realistic approach for the intake assessment is proposed in the case of new HiMOs or extensions of use of already authorised HiMOs.
A Study of New Indexing Techniques for Multimodal Identification Using Iris, Fingerprint, and Face Biometrics
Authors: Payal Jain  , Gaurav Khandelwal
Published: September 2024

This paper explores innovative indexing techniques for multimodal biometric identification systems, focusing on iris, fingerprint, and facial recognition technologies. With the proliferation of digital identity verification needs, traditional single-modal biometric systems often fall short in terms of accuracy, speed, and security. Multimodal biometric systems, which integrate multiple biological characteristics, are becoming crucial for enhancing identification performance. This study aims to present a comprehensive analysis of new indexing methods that can significantly improve the efficiency, accuracy, and security of multimodal biometric identification systems.
Developments of the I-Function Several Complex Variables
Authors: Priti Pandey Priti Pandey , Dr. Neelam Pandey Dr. Neelam Pandey , Dr. Yagya Pratap Sahu Dr. Yagya Pratap Sahu
Published: September 2024

The purpose of this study is to present the I-function of r-variables, a natural extension of thepopular, intriguing, and practical Fox H-function. The results are quite generalized when r=1, at which pointwe get the I-function. Second, we showed that an integral is formed by multiplying the I-function of a singlevariable by the Bessel function and the General polynomial class. A two-variable I-function may be obtainedby evaluating the Sine transform of the product of the Hermite polynomial and Fox's H-function, and itsspecial case, the Cosine transform of the product of the Legendre polynomial and Fox's H-function. Wehave also provided exceptional examples, basic features, and circumstances under which convergenceoccurs. Results for H-functions in r variables are generalized in this study.
In-depth Investigation into Supervised and Unsupervised Models within Artificial Neural Networks
Authors: Avanthi Nagelli  , Dr. Srinivas Babu
Published: September 2024

An Artificial Neural Network (ANN) is an information-handling worldview that is jazzed up by exactly how natural nerves, like the mind, procedure details. The essential element of this particular worldview is the initial Building of the information dealing with the unit. A neural network is a difficult development that comprises a gathering of interconnected nerve cells, which offers a remarkably electrifying possibility unlike complicated essential reasoning and also various other treatments which may think a notable component in today's software engineering industry, thus professionals from different fields are organizing the synthetic neural networks to tackle the concerns of trend awareness, prophecy, optimization, associative moment and command. It is constructed of an enormous lot of specially connected taking care of elements (neurons) functioning as one to address explicit issues. ANNs, identical to individuals, innovation as an aesthetic presentation. An ANN is developed for a specific app, for example, pattern recognition or records classification, using developing knowledge. Discovering in biological units features modifications following the synaptic associations between neurons.
To Analysis the Meritorious Advantages of Precast Structure over Cast In Situ Building Construction In Allied With Time And Cost At Mumbai Region
Authors: Mr. Desai Sandeep Tukaram Mr. Desai Sandeep Tukaram , Dr. U. J. Phatak Dr. U. J. Phatak
Published: September 2024

Most construction projects use cast-in-place concrete, in which the wet mixture is poured andformed directly at the construction site. Since this often takes place on a construction site, the term sitecast concrete has become the standard. An analogy is drawn to the usage of precast concrete, in whichpieces are cast off-site and then transported to the construction site. Concrete for on-site casting isoften delivered using the iconic revolving-barrel concrete mixer trucks. In a centralized batching plant,where stricter quality control over the components may be maintained, the mixture is prepared. At everystage of the process—from transport to the site to proper mixing in the truck to unloading anddepositing in the forms and handling for placement, finishing, and curing—the level of responsibility andcompetence exercised by the people involved is vital. Extreme steps may need to be taken to ensureclose monitoring of each stage of production if accessibility and weather at the work site have a majorinfluence on the quality of the work. While the focus here is not on construction management orprocedures, a basic understanding of these topics would aid in the creation of workable designs forconcrete buildings. Cast-in-place concrete and precast concrete are two competing constructiontechniques supplied by various contractors for the structural elements, and a breakeven formula isestablished to help evaluate and pick the best solution. The criteria for selection is the one that will havethe least financial impact. The quantity of works, in this case concrete, is taken into account apart fromother factors. Finding that the transportation and shifting cost of Precast components significantlyimpacted the entire cost of construction, this research aims to help decision-makers and engineersanalyze both concrete building approaches early in the construction planning stage.
The Future of Blockchain Technology
Authors: Arshiya Sharma Arshiya Sharma
Published: September 2024

Blockchain, the next generation of the Internet, has already made a significant impact in the realtimeoperations of the financial sector over the past decade. Cryptocurrency, the Internet of Things (IoT),financial services, etc. all benefit from its robust set of tools, which facilitate the cross-pollination of theseand other technologies. Decentralization long-term reliability are the two most crucial aspects ofBlockchain technologies. Despite the fact that Blockchain Bitcoin technologies are both beneficial, theyare nonetheless often confused with one another. In addition, this article distinguishes between the twowith the help of the smart contract's development highlights the potential advantages of blockchaintechnology. While several research have focused on how blockchain can be used in specific contexts,neither the technology nor its potential uses have been systematically surveyed. We undertake anextensive assessment of blockchain technology, architecture, analyzes blockchain applications, technical problems to address this knowledge gap.
To Evaluate the Influence of Demographic Factors on Purchase Behaviour
Authors: Vishal Gaur  , Dr. Arvind Kumar Saxena
Published: September 2024

Advertising in the media has become increasingly important in today's competitive marketing environment. The purpose of this research is to investigate the numerous ways in which advertising in the media influences consumers' choice of product across different markets. The research takes a holistic tack, utilizing quantitative and qualitative methods to present a whole picture of the topic under study. Theoretical foundations of consumer behavior and the function of media advertising within this context are explored initially. The study builds on well-established theories like the Elaboration Likelihood Model and the Theory of Planned Behavior to examine the complex link between advertising and consumer behavior. The influence of media advertising on consumers' purchasing decisions is measured using quantitative research methodologies. In order to gather a good cross-section of the population, a large-scale survey is done. Information about commercial memory, attitude development, buy intent, and actual purchasing behavior is collected in this study.
Energy and Resource Recovery Processes and Ecological Issues Related to Management and Disposal of Man-Made Specialty Waste
Authors: Sutar Ajim Shabbir  , Dr. P. S. Charpe  , Dr. Ranjit Nagnath Shiral
Published: September 2024

Issues because of informal administration of metropolitan strong waste (MSW) have arisen as the greatest ecological difficulties in many regions of the planet including India. In the urban communities of the agricultural nations including India, the greater part of the created squanders are manged informally through open unloading and landfilling.
Studies of Wastewater Management through Microbiology of Constructed Wetland
Authors: Sunny Pathak  , Dr. Bhagawatilal Jagetiya
Published: September 2024

Constructed wetlands are distinguished by certain environmental factors that let many physical and biological processes to occur simultaneously. This is the outcome of a particular habitat that supports the development of microbes and hydrophytes, which are plants that can live in aquatic and semiaquatic environments and are capable of anaerobic, anaerobic, and aerobic environments. Their combined activity amplifies the processes of oxidation and reduction, which are in charge of eliminating and holding onto contaminants. Sorption, sedimentation, and absorption all aid in these processes. Treatment wetland systems have been employed in community management for more than 50 years because of these benefits. Constructed wetlands are becoming more and more popular for treating or pre-treating many kinds of industrial wastewater because of their benefits, cheap operating costs, and high removal efficiency. The paper examines how these facilities are being used worldwide to treat industrial wastewater. With a focus on particular and distinctive pollutants from industries, the conditions of usage and efficacy of pollutants removal from wastewater that degrades quickly and slowly were described. The article addressed the use of subsurface horizontal flow beds for the treatment of wastewater from various industrial processes, including the manufacturing of paper, oil, and coffee, as well as the food sector, which includes wineries and distilleries. Constructed wetlands are used in Poland to treat wastewater and milk processing sludge on a pilot size or to dewater sewage sludge generated in municipal wastewater treatment plants that handle household sewage with around 40% of wastewater from the dairy and fish industries. Constructed wetlands provide the so-called ecosystem function in addition to an adequate degree of treatment in every instance.
An Overview of Characteristics and Application of Big Data
Authors: Rajendra  Mahto  , Dr. Nidhi Mishra
Published: September 2024

Big data is huge volume, heterogeneous, appropriated data. Big data applications where data gathering has developed ceaselessly, it is costly to oversee, catch or concentrate and procedure data utilizing existing programming apparatuses. Clustering Technique for unstructured for big data is a primary errand of exploratory data investigation and data mining applications. This phenomenon, commonly referred to as Big Data, presents both opportunities and challenges across various domains. This paper provides a comprehensive overview of the characteristics and applications of Big Data. it delves into the characteristics of Big Data, including its volume, velocity, variety, veracity, and value. Understanding these characteristics is crucial for harnessing the full potential of Big Data analytics. the paper explores the diverse applications of Big Data across industries such as healthcare, finance, retail, manufacturing, and transportation.
Expermintal Research of Electrochemical Behaviour of Zinc in Ammonium Chloride Solutions
Authors: Md. Danish Equbal
Published: September 2024

A present study was investigated “Experimental Research of Electrochemical Behaviour of Zinc in Ammonium Chloride Solutions.”  The study was investigated by the electrochemical corrosion of sine is a problem of high significance both in the fundamental and applied fields of electrochemistry. Hence investigations were undertaken to study the corrosion of zinc in storage systems, the electrodeposition and characterisation of sine and the electrodeposition and characterisation of Siti nickel alloy. Results was shows that Potential-pH diagram for zinc in ZnClg/ NH₄Cl electrolyte, as used in Laclanche’s cell. When the surface composition of polished zinc. A freshly polished Zn surface was immersed in 0.5M NH₄Cl for 45 seconds and then analysed for energy measurements by ESCA. The composition of the modified zinc surface is summarised in table-1, When the binding energy was scanned in a narrow range of 1021 to 1010 eV, the participation of Zn 2PI electrons in the bond formation was confirmed. The investigations on the zinc- NH₄Cl system were hence carried out with the following specific objectives: IC4 find out the structure and nature of the species formed un the surface of sine when introduced in NH₄Cl solutions.
Different Quality Index of Irrigation Water From canal of Sone River
Authors: Balmikee Kumar Yadav Balmikee Kumar Yadav , Dr. Abhijeet Kumar Shrivastava Dr. Abhijeet Kumar Shrivastava
Published: September 2024

The purpose of this research was to examine the Different quality index of irrigation watercanal of Sone river. A canal is a man-made waterway dug to provide farms with irrigation supplies. Thewater is obtained from a lake, pond, river, or reservoir. In order to combat water erosion and seepage,canals may be constructed from concrete, brick, or a flexible stone. Irrigating land using a canal andassociated irrigation system is a time-tested and cost-effective strategy. The height of the water canalintake diagrams. Irrigation systems in fields rely on water drawn from reservoirs, such as ponds andreservoirs, or river wells, which are pumped to the fields.
Review of Controlling of Switched Reluctance Motors (SRM) Drive Techniques in Micro-grid
Authors: Mrs. Ashwini A. Deshpande  , Dr. Sunil Kumar
Published: September 2024

There has been growing interest in the switching reluctance motor in both the academic and business communities. The minimal cost of construction and the fact that no rare materials are required are two of Micro-most grid's lauded qualities. Switched reluctance motors are more difficult to manipulate than conventional machines. The most researched issue in the subject is how to minimise torque ripple in the control system. The purpose of this work is to provide a review of the relevant literature and an understanding of the specifics involved in micro grid control of switching reluctance motors. There is a literature review on the effects of fundamental control approaches on the study of motor performance. Several other studies are offered for the reader to use as comparisons in this comparative study. Studies employing a non-linear switching reluctance motor model derived from an actual motor are the primary emphasis of the papers, which are based on the theory presented for literature review.
Atención de salud después de un terremoto
Authors: Cañizares-Fuentes Wilson , P. Mena Gabriela , Santana-Veliz Carlos
Published: September 2024

El terremoto originado en abril 2016 en la localidad de Pedernales, provincia de Manabí, Ecuador, afectó el funcionamiento de las unidades de salud, los programas sanitarios del sistema público y deterioró la salud de la población. En este estudio se analizan los efectos del terremoto de Pedernales, mediante la descripción de la atención recibida por los usuarios, en las unidades de salud del MSP en el cantón Chone, en el periodo post terremoto mediato. Se realizó estudio observacional, descriptivo y transversal. Se estudiaron las percepciones de los usuarios, determinando su grado de satisfacción con los servicios de salud recibidos en las unidades de salud. Los resultados demuestran que en la mayoría de las unidades de salud estudiadas hay porcentajes importantes de insatisfacción en la atención, existen brechas en el acceso a medicamentos, camas hospitalarias y de personal de salud. El terremoto evidenció las falencias de la atención de la red pública de salud, que ya estaban presentes antes y que el terremoto las agravó.
Biopelículas y envases activos, nuevas tecnologías en la industria alimentaria
Authors: Guaña-Escobar Francisned , Vaca-Tenorio María , Aguilar-Morales Javier
Published: September 2024

For the food industry, the preservation of products has been a great challenge due to the demand of the consumer regarding packaging alternatives that are ecological and useful, which has triggered investigations of different methods that comply with these parameters. A bibliographic review of 38 articles from databases such as Google Schoolar, Ebook Central and Scielo was carried out, in which keywords such as "active packaging", "smart packaging", "edible packaging", " packaging design and nutrition”,“ multifunctional food packaging design ”,“ nutritional value of packaging ”,“ sustainable packaging ”,“ biofilms ”,“ polymers ”and“ food preservation ”. The results show the use of active packaging, particularly biofilms based on polysaccharides, proteins and lipids, show great benefits in both chemical and mechanical properties, without noticeable alterations in the nutritional and organoleptic quality of the foods where they were used as coatings. Conclusion: The biofilms based on polysaccharides and proteins have lower permeability, but are useful in reducing respiration rates. Those that are developed based on lipids reduce the desiccation of food. However, more studies are needed on the interaction of these materials together. In addition, its application benefits the food industry both in reducing non-degradable waste and reducing costs. However, more studies are needed on the interaction of these materials together.