bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of Deep Learning Sentiment Analysis Methods, Including LSTM and Machine Learning
Authors: Habib Jean Max T. , Poguda A. A. 
Published: September 2023

Purpose of research. The purpose of the study is to evaluate certain machine learning models in data processing based on speed and efficiency related to the analysis of sentiment or consumer opinions in business intelligence. To highlight the existing developments, an overview of modern methods and models of sentiment analysis is given, demonstrating their advantages and disadvantages.Materials and methods. In order to improve the semester analysis process, organized using existing methods and models, it is necessary to adjust it in accordance with the growing changes in information flows today. In this case, it is crucial for researchers to explore the possibilities of updating certain tools, either to combine them or to develop them to adapt them to modern tasks in order to provide a clearer understanding of the results of their treatment. We present a comparison of several deep learning models, including convolutional neural networks, recurrent neural networks, and long-term and shortterm bidirectional memory, evaluated using different approaches to word integration, including Bidirectional Encoder Representations from Transformers (BERT) and its variants, FastText and Word2Vec. Data augmentation was conducted using a simple data augmentation approach. This project uses natural language processing (NLP), deep learning, and models such as LSTM, CNN, SVM TF-IDF, Adaboost, Naive Bayes, and then combinations of models.The results of the study allowed us to obtain and verify model results with user reviews and compare model accuracy to see which model had the highest accuracy results from the models and their combination of CNN with LSTM model, but SVM with TF-IDF vectoring was most effective for this unbalanced data set. In the constructed model, the result was the following indexes: ROC AUC - 0.82, precision - 0.92, F1 - 0.82, Precision - 0.82, and Recall - 0.82. More research and model implementation can be done to find a better model.Conclusion. Natural language text analysis has advanced quite a bit in recent years, and it is possible that such problems will be completely solved in the near future. Several different models in ML and CNN with the LSTM model, but SVM with the TF-IDF vectorizer proved most effective for this unbalanced data set. In general, both deep classification algorithm. A combination of both approaches can also learning and feature-based selection methods can be used to solve be used to further improve the efficiency of the algorithm. some of the most pressing problems. Deep learning is useful when the most relevant features are not known in advance, while feature-based
Synthesis, Computational Study of β-lactam Derivatives Bearing Quinazoline Schiff Bases as Anthelmintics
Authors: Singh Gurdeep , Patel Ritesh , Thakur Alok Singh , Singh Mukesh Kumar 
Published: September 2023

Background:
Infections caused by parasites continue to pose a risk to both human and animal
health. The most popular drug classes for treating these infections include thiabendazole, imidazothiazoles,
levamisole, and avermectins (obtained from the fermentation products of Streptomyces
avermitilis). The majority of bacteria that we come across in any form of infection are successfully
combatted by β- lactam medicines. Similar to the majority of treatments, problems with treatment
resistance to these drugs have evolved over time, necessitating the development of new anthelmintic
medications. This study aims to investigate a series of quinazoline-bearing β-lactam rings as potent anthelmintic
agents.

Methods:
The new series of quinazoline bearing β-lactam was synthesized via reaction of 5-bromo
anthranilic acid with acetic anhydride to produce 6-bromo-2-methyl-4H-benzo (1,3) oxazin-4-one which
was then converted into 3-amino-6-bromo-2-methylquinazolin-4(3H)-one by the reaction of hydrazine
hydrate in the presence of anhydrous pyridine. The resultant intermediate then goes through a Schiff
reaction with various aromatic aldehydes, followed by reflux with triethylamine and chloroacetyl
chloride.

Results:
Structural assignments of these compounds have been made by elemental analysis,
FTIR,1HNMR and Mass spectral data and the purity of the compounds was determined by TLC. Molecular
docking studies showed the effective binding of synthesized derivatives with tubulin in comparison to
the orientation of standard drugs. The anthelmintic activities of all the synthesized compounds were evaluated
separately for their possible using common Indian earthworm Pheritima posthuma.

Conclusion:
A total of ten derivatives of quinazoline bearing β-lactam ring were designed, synthesized
and evaluated against the Indian earthworm Pheritima posthuma. Out of ten derivatives, SQD2 and
SQD6, showed promising anthelmintic activity when compared with standard drugs albendazole and
piperazine citrate.
Dendrimers: Patents for Alzheimer’s disease
Authors: Maheshwari Shubhrat , Singh Aditya 
Published: September 2023

Abstract:
Cells and nervous system connections that are crucial for movement, coordination, strength, sensation, and thought are gradually damaged in neurodegenerative illnesses. Amyloid beta (Aβ)-accumulating macromolecules in the brain are the primary cause of the disease's chronic symptoms, according to analysis carried out during the last 20 years. Plaques and clumps of amyloid- build up in the brain, obstructing neuronal signals and destroying neural connections. Tau, a protein that results in the formation of "neurofibrillary tangles" in the brain, another hallmark of neuronal death, has been the focus of a lot of research. Dendrimers Delivery (DDs) is one of the most promising advancements in nanotechnology for biomedical applications, particularly drug delivery. Some of the main categories of dendrimers employed in the successful management of neurodegenerative illnesses are polyamidoamine dendrimers (PAMAM) dendrimers, polypropylenimine dendrimers (PPI), Poly-l-lysine dendrimers (PLL), and carbosilane dendrimers. The tight blood-brain barrier (BBB), which limits the entry of medications or therapeutic agents, makes it difficult to treat central nervous system disorders. Dendrimers have attracted the attention of scientists more than other non-invasive methods of drug delivery across the BBB and improve the uptake of medicines in the brain's target tissues. The major benefits of dendrimers include their adaptability, biocompatibility, ability to load pharmaceuticals into the core and surface, and nanosize. This review has updated the status of the patent and clinical trials literature pertaining to dendrimer use in AD.
Task Offloading of Intelligent Building Based on Dependency-Aware in
Edge Computing
Authors: Lingzhi Yi , Jianxiong Huang , Yahui Wang , Jiao Long , Bote Luo , Jiangyong Liu 
Published: September 2023

Background:
With the rapid development of artificial intelligence, the traditional cloud computing model has serious bandwidth and energy consumption problems when storing and processing massive amounts of raw data. To address this problem, recent patents have investigated methods for intelligent task offloading and allocation in mobile edge computing.

Objective:
A Directed Acyclic Graph (DAG) task unloading model is established to reduce the problem of task delay and energy consumption in edge networks. At the same time, the Modified Tuna Swarm Optimization (MTSO) is used to improve the execution efficiency.

Methods:
Firstly, this paper integrates (i) inter-task dependencies; (ii) heterogeneity of computing resources in the edge network; and (iii) interference of wireless channels in the edge network. A DAG task offloading model is developed to reduce latency and energy consumption. The end users are guided to offload their tasks/sub-tasks to the most appropriate servers in the edge network, thus minimizing the end-to-end latency of all tasks in the edge network. Secondly, the MTSO algorithm is used to coordinate the dependencies and priorities of subtasks to improve execution efficiency.

Results:
The experimental results show that when the number of users including subtasks is 10, the final edge server utilization rate is as high as 92%. A more fine-grained segmentation scheme can reduce the average delay of tasks and improve the utilization rate of edge servers.

Conclusion:
The approach proposed in this paper reduces the end-to-end latency and improves resource utilization in complex applications under the premise of ensuring task dependency. It well relieves the pressure on the cloud and has certain engineering application value
A Review on Various Voltage Boosting Topology in DC-DC Converter
Authors: Singh Mayank , Yadav Mukh Raj , Dhaked Dheeraj Kumar 
Published: September 2023

Abstract:
Step-up DC-DC converters are employed to raise the output voltage level from the input
voltage level. Although the basic boost dc-dc converter has advantages like simplicity of implementation,
it also has drawbacks like low boost ability and low power density. The literature has reported
various topologies which have switched inductor/voltage lift, switched capacitor, voltage multiplier,
magnetic coupling, and multistage types. Each converter topology possesses its own advantages
and disadvantages with a focus on power density, cost, efficiency, reliability, and complexity
depending upon the applications. Demands of such applications are being fulfilled by using new
power conversion topologies. Various combinations of such boosting topologies with additional
components are complex. This paper provides a simple glance to the basic law and context for the
development of future DC/DC converters. This paper has surveyed and classified various topologies
according to the voltage-boosting topology and characteristics. The banes and boons of these topologies
are also discussed in the paper with the applications of each boosting topology.
Protective Effect of Quercetin and p-Coumaric Acid (p-CA) Against
Cardiotoxicity: An In Silico Study
Authors: Bhadana Renu , Rani Vibha 
Published: September 2023

Background:
Hydroxychloroquine (HCQ) is a common antimalarial drug that has
been used effectively in the treatment of various rheumatic and auto-immunity diseases. The major
side effects and drawbacks associated with HCQ are cardiotoxicity, retinopathy, gastrointestinal
upset, and neuromyopathy however, cardiotoxicity is an increasing concern and it is critical
to avoid heart dysfunction induced by HCQ. The present work is focused on receptor and signaling
molecules associated with pathways attributing to drug-induced cardiotoxicity. We analyzed
the therapeutic efficacy of selected natural products in HCQ-induced cardiotoxicity through insilico.
We selected Syzygium cumini polyphenols, quercetin, and p-coumaric acid. The motivation
behind selecting quercetin, and p-coumaric acid is their wide applicability as an antioxidative,
anti-inflammatory, antiapoptotic, and cardioprotective.

Methods:
For predicting quercetin, p-coumaric acid, and HCQ toxicity and physicochemical
properties, in silico studies were performed using ProTox II and Swiss ADME. We further performed
molecular docking using Autodock Vina and Discovery Studio visualizer to find the affinity
of selected polyphenols against signaling molecules and receptors. Then we performed
network pharmacological studies of selected signaling molecules.

Results:
We analyzed that the computational method indicated quercetin (Δ G -9.3 kcal/mol) has
greater binding affinity than p-Coumaric acid for prevention and restoration of the disease while
hydroxychloroquine was taken as a control.

Conclusion:
It can be concluded that Syzygium cumini, polyphenols may aid in the future therapeutic
potential against HCQ-induced cardiotoxicity.
Del pecado como símbolo racional entre Pelagio y Agustín según Paul Ricoeur
Authors: Mariano Da Rosa Luiz Carlos 
Published: September 2023

Focusing on sin in Pelagius as a possibility of exercising freedom and individual responsibility, this paper points out the defense of neutrality, involving the creation of the human being and his capacity for good and evil, emphasizing the freedom of will and its absolute indeterminacy, linking sin to choice. Therefore, by attributing the condition of locus of the establishment of the existential ethical-logical experience, involving the exercise of freedom, to will, Pelagius opposes the thesis of original sin as a psycho-biological, intellect-affective, and volitional-consciential inheritance transmitted by the human archetype in Adam for his offsprings. Thus, pointing to will as the cause of sin in a movement that converges to end its imputation to the agent as a holder of will in exercise, the text shows that Augustine paradoxically affirms the human tendency to practice evil as a result of Adamic inheritance, which imposes on its posterity the condition of absolute depravity and inescapable guilt, insofar as the human being is constituted as such in a state of holy innocence in a process that attributes to sin the condition of a product of human choice through the exercise of their freedom and full conscience. Finally, the paper examines sin as a rational symbol between Pelagius and Augustine, according to Paul Ricoeur, who affirms the need for a process able to deconstruct the concept due to the emergence of the orthodox intention as a straight and ecclesial meaning.
The Use of Social Media Among Parents of Cleft Lip and Palate Patients for Patient Education
Authors: Indania Alita , Kreshanti Prasetyanugraheni , Martin Valencia Jane , Anggraeni Margareth Ingrid , Wibowo Jasmine Athiyya 
Published: September 2023

Parents’ adherence to cleft lip and palate treatment plans is essential to ensure a satisfactory outcome. With the ongoing development of communications technology, social media has become an integral component in medical practice. It is now a platform of communication and information that facilitates medical professionals and parents to provide better care for cleft lip and palate patients. The aim of the study is to investigate the use of social media among parents of CLP patients and their preferable social media of choice for patient education. This is a descriptive study conducted through an online and offline survey amongst 108 parents of CLP patients from January to June of 2019. WhatsApp, Facebook, Instagram, and YouTube are social media platforms that the respondents heavily use. WhatsApp (76,1%) is the most common tool to seek cleft lip and palate information, followed by websites and Facebook. Information that respondents often inquire include feeding technique, post-surgical wound treatment, and funding for the treatments. Overall, respondents believed that information acquired from social media is reliable. Aversion towards social media in obtaining information was revolving around inaccuracy (69,1%) and reliability (39%). Social media has become a fundamental aspect in the treatment of cleft lip and palate. Physicians should consider social media and be actively involved in ensuring the dissemination of accurate and reliable information to patients. WhatsApp is a suitable tool to serve as a platform to provide patient education. A chatbot powered by artificial intelligence can be further developed and investigated for future use.
Occupational Morbidity of Women Associated with Working Conditions in Agriculture
Authors: Kostareva V. Yu. 
Published: September 2023

Introduction. About a third of employees of medium and large agricultural enterprises work in hazardous and harmful conditions. It is worth clarifying that the situation in this area is constantly changing, information may become outdated. The presented scientific work is designed to solve this problem. New information should be considered and systematized to study current data. The work objective is to analyze recently published official statistics on the impact of working conditions on the health of agricultural sector workers and, in particular, women. In addition, the problems of the formation and development of occupational diseases of women employed in agriculture are considered.Materials and Methods. The data of the Federal State Statistics Service, the Ministry of Health of the Russian Federation, as well as the works of foreign and Russian scientists who studied the peculiarities of work in agriculture were used as research materials. Official statistics data were summarized in the form of tables, visualized as diagrams. The illustrative material allowed us, in particular, to compare the indicators, to identify the most significant risks associated with the work of women in the agro-industrial complex.Results. About 35% (that is, more than a third) of the personnel of medium and large enterprises of the agro-industrial complex are women. Many of them work in harmful and dangerous conditions. From 2015 to 2021, the corresponding minimum recorded figure was 26.4% of all women employed in agriculture, the maximum was 37%. Generalized statistical data suggested that from 2015 to 2021 the situation was not significantly improving, a downward trend was not formed. If to speak about hard work, the proportion of women performing such functions increased from 13.8 % to 17.7%, that is, by 2021 the situation noticeably worsened. We noted the progress with strenuous labor processes in agriculture. The proportion of women engaged in such jobs almost halved: from 3.5% to 1.8%. Physical overload, which functionally overstrain the organs and systems of the body, should be recognized as a particularly harmful factor for agricultural sector workers. The most problematic industry from the point of view of women's health was animal husbandry.Discussion and Conclusion. The results of the work allow us to conclude about the unsatisfactory working conditions of women in agriculture. The situation can be improved by state control, mutual interest of employers and employees in the organization of workplaces and the compliance with labor protection requirements. A systematic approach should reduce the number of occupational diseases among women, improve the health indicators of agricultural workers.
Assessment of the Influence of Internal Factors on the Indicators of Passenger Elevator Units Utilization Based on the Results of Regular Monitoring
Authors: Khazanovich G. Sh. , Apryshkin D. S. 
Published: September 2023

Introduction. Ensuring high reliability and safety of operation of passenger elevator units is largely determined by the implemented maintenance conditions (MC). The frequency of performing preventive actions depends, first of all, on the level of elevator utilization. Time, power indicators and the degree of remaining life are used to evaluate it. Among the time indicators, the net machine time coefficient (NMT) and the turn-on frequency are accepted, which are random variables depending on a number of internal factors characterizing the operating conditions of the unit. The work objective is to establish the relationship between the average values of NMT, as one of the main indicators of the load of the elevator unit, and the main internal factors.Materials and Methods. The research was carried out on the basis of processing and generalization of statistical materials of dispatching control of time indicators of a number of passenger elevator units. 11 elevators were randomly selected, differing in the number of floors, the specific number of residents using the elevator, and the speed of movement of the cab. Graphical-analytic methods were used to construct empirical dependences of NMT on the number of residents, the speed of the cab and the number of floors of the building. Along with the technical parameters of the elevator, random changes in the NMT indicators for individual periods of the day were taken into account.Results. Empirical dependences of the NMT on the main internal factors — the density of occupation, the number of floors of the building and the speed of the cab movement were established. Mathematical models provided results adequate to experimental values. The error when comparing the calculated data with the actual data did not exceed 10 % in most cases.Discussion and Conclusion. The value of the empirical dependencies obtained consists in the ability to assess the workload of units during the current period of operation without additional multi-day measurements. Empirical formulas can be used as basic relations in simulation modeling at any stage of the life cycle.
Objektivitas Penilaian Guru Pamong Pada Kompetensi Mahasiswa PLK Sosiologi 2021/2022 Universitas Negeri Padang di Kota Padang
Authors: Mellnia E Dinda , Nurlizawati Nurlizawati , Syafrini Delmira 
Published: September 2023

Penelitian ini bertujuan untuk menganalisis objektivitas guru pamong dalam memeberikan penilaian pada mahasiswa PLK sosiologi 2021/2022 Universitas Negeri Padang Di Kota Padang. Peneliti tertarik melakukan penelitian ini dikarenakan masalah objektivitas penilaian guru pamong pada mahasiswa PLK ini menjadi permasalahan yang terjadi setiap periode PLK dilaksanakan, hingga hal tersebut membuat proses penilaian kepada mahasiswa PLK ini menjadi tidak objektif karena guru pamong melakukan penilaian yang timpang tidak sesuai dengan kompetensi yang dimiliki oleh mahasiswa PLK hingga akhirnya hal ini mempengaruhi objektivitas penilaian guru pamong pada kompetensi mahasiswa PLK sosiologi 2021/2022. Penelitian ini menggunakan penelitian kualitatif, dengan tipe studi kasus, pemilihan informan dilakukan secara purposive sampling dengan 7 orang informan yaitu guru pamong sosiologi, 5 orang mahasiswa PLK. Pengumpulan data pada penelitian ini dilakukan secara observasi, wawancara mendalam, dan studi dokumentasi. Reduksi data, penyajian data, dan penarikan kesimpulan. Lokasi penelitian di SMAN 1 Padang, SMAN 2 Padang, SMAN 5 Padang, SMAN 7 Padang, SMA Pembangunan Laboratorium UNP, SMA Pertiwi 1 Padang. Hasil penelitian ini menunjukan objektivitas penilaian yang dilakukan oleh guru pamong ketika memberikan penilaian pada mahasiswa PLK sosiologi 2021/2022 dapat dikatakan timpang karena guru pamong melakukan penilaian tidak sesusai dengan kompetensi yang dimiliki oleh mahasiswa PLK yang artinya penilaian yang dilakukan guru pamong tersebut mempengaruhi objektivitas. Dilihat dari 3 aspek dan 5 faktor penilaian yang di lakukan oleh guru pamong yaitu aspek profesional yang meliputi; 2 faktor yaitu: Pemberian nilai PLK didasarkan keterlibatan membantu merancang perangkat pembelajaran guru pamong, penilaian dilakukan oleh mahasiswa bersangkutan. Aspek emosional dan keperibadian yang meliputi; Rasa simpati dan empati guru pamong dalam memberikan penilaian, sikap patuh dan kedisiplinan mahasiswa mempengaruhi penilaian, toleransi terhadap kesalahan sebagai proses belajar serta aspek sosial.