bluuebunny/crossref_metadata_2025 huggingface dataset:
The Use of Gene Expression Profiling to Predict Molecular Subtypes of Breast Cancer by a New Machine Learning Algorithm: Random Forest
Authors: Fararjeh Abdul-Fattah , Al-khlifeh Enas , Al Aloliqi Abdulaziz A. , Tarawneh Ahmad S. , Hassanat Ahmad B.
Published: October 2024

Background:

One of the main causes of cancer-related mortality in women is breast cancer
[BC]. There were four molecular subtypes of this malignancy, and adjuvant therapy efficacy
differed based on these subtypes. Gene expression profiles provide valuable information that is
helpful for patients whose prognosis is not clear from clinical markers and immunohistochemistry.

Objective:

In this study, we aim to predict molecular types of BC using a gene expression dataset of
patients with BC and normal samples using six well-known ensemble machine-learning techniques.

Methods:

Two microarray datasets were downloaded; [GSE45827] and [GSE140494] from the
Gene Expression Omnibus [GEO] database. These datasets comprise 21 samples of normal tissues
that were part of a cohort analysis of primary invasive breast cancer [57 basal, 36 HER2, 56 Luminal
A, and 66 Luminal B]. Namely, we used AdaBoost, Random Forest [RF], Artificial Neural
Network [ANN], Naïve Bayes [NB], Classification and Regression Tree [CART], and Linear Discriminant
Analysis [LDA] classifiers.

Result:

The results of the data analysis show that the RF and NB classifiers outperform the other
models in the prediction of the BC subtype. The RF shows superior performance with an accuracy
range between 0.89 and 1.0 in contrast to its competitor NB, which has an average accuracy of 0.91.
Our approach perfectly discriminates un-affected cases [normal] from the carcinoma. In this case,
the RF provides perfect prediction with zero errors. Additionally, we used PCA, DHWT lowfrequency,
and DHWT high-frequency to perform a dimensional reduction for the numerous gene
expression values. Consequently, the LDA achieves up to 95% improvement in performance
through data reduction. Moreover, feature selection allowed for the best performance, which is recorded
by the RF with classification accuracy 98%.

Conclusion:

Overall, we provide a successful framework that leads to shorter computation times
and smaller ML models, especially where memory and time restrictions are crucial.
Rust Detection for Telecom Network Towers using Image Processing
Authors: Shah Darshita , Dave Jatin , Soni Shivam , Kumar Ajay , Rathee Sarita , Kumar Ashwini , Chaudhary Poonam
Published: October 2024

Background:

The escalating expansion of global telecom towers since the 1990s has
led to an ageing infrastructure, with towers exceeding 30 years. Rust, a pervasive threat, jeopardizes
structural integrity, posing risks of collapse and harm to riggers. Recognizing the importance
of innovation in addressing this challenge, rust detection and tower maintenance patents play a crucial
role in advancing the field.

Objective:

This paper focuses on detecting and evaluating rust levels on ageing telecom towers.
Beyond addressing the immediate concerns, the objective includes exploring patented technologies
in rust detection and prevention. The aim is to amalgamate innovative solutions into the algorithmic
framework for automated rust detection, thereby enhancing the robustness and novelty of
the proposed approach.

Methods:

The study involves a comprehensive literature review to identify patented technologies
related to rust detection on structures like telecom towers. By integrating patented methods into
the image processing code developed in Python, the algorithm gains an edge in accuracy and efficiency.
The three-tier classification of rust severity aligns with patented preventative maintenance
strategies, ensuring a holistic approach to tower care.

Result:

The amalgamation of patented technologies with the image processing code enhances the
accuracy of rust detection on telecom towers. The results guide targeted treatments, informed by
patented preventative maintenance strategies, including patented rust inhibitors, protective coatings,
and corrosion-resistant materials.

Conclusion:

This paper introduces an innovative algorithm for rust detection and emphasizes the
integration of patented technologies. Incorporating patented solutions into preventative maintenance
strategies makes the approach more effective and technologically advanced. This holistic
method not only benefits telecom companies in accident prevention and cost reduction but also positions
the developed algorithm as a significant contribution to patented rust detection and tower
maintenance technologies.
Revolutionizing Deep Learning: A Comprehensive Exploration and Comparison of Cutting-edge Data Augmentation Techniques
Authors: Fayaz Salma , Ahmad Shah Syed Zubair , Assad Assif
Published: October 2024

Introduction:

As the demand for resilient deep learning models in medical imaging
grows, the importance of data augmentation becomes increasingly evident. This study provides a
comprehensive comparative analysis of advanced data augmentation techniques applied to a skin
melanoma dataset.

Method:

Through rigorous experimentation and evaluation, we aim to demonstrate the effectiveness
of these methods in enhancing model generalization and reducing overfitting. The performance
metrics selected, including accuracy, precision, recall, and F1-score, were chosen based on
their relevance to assessing model robustness and generalization capability.

Results:

Our findings offer valuable insights into the strengths and limitations of various advanced
data augmentation techniques, aiding researchers and practitioners in making informed
choices tailored to their specific applications.

Conclusion:

Additionally, this study reviews several patents related to data augmentation in deep
learning, ensuring that our approach is grounded in current technological advancements.
Risk of Developing Multimorbidity among Previously Healthy Immigrants and Long-term Ontario Residents
Authors: Rouhani Setareh , Dahrouge Simone , Manuel Douglas , Glazier Richard H. , Hogg William
Published: October 2024

Background

Multimorbidity is an important health issue associated with a greater risk of adverse health outcomes, more frequent hospitalizations, greater healthcare needs, and premature death. This study examined patterns of and the risk of developing multimorbidity between immigrants and long-term residents of Ontario.

Methods

We used a 1:1 matched retrospective observational open cohort design from 1995 to 2016, using routinely collected population-based administrative data at ICES. Multimorbidity was defined as two or more and three or more co-occurring chronic conditions. Chronic disease frequencies of dyads and triads were examined. Stratified multivariate Cox Proportional Hazard models examined the risk of developing multimorbidity and further by world regions of origin for immigrants compared to long-term residents.

Results

Hypertension and diabetes, in combination with chronic obstructive pulmonary disease, were the leading multimorbidity dyad and triad groups. After controlling for age, sex, and neighborhood income quintiles, immigrants from the Caribbean and South Asia had a greater risk of developing 2+ multimorbidity, compared to long-term residents. Refugees from North Africa and the Middle East (HR = 1.22 [95% CI: 1.03-1.42]) as well as refugees (HR = 1.78 [95% CI: 1.59 – 1.98]) and family immigrants from South Asia (HR: 1.08 [95% CI: 1.02-1.14]), had a higher risk of 3+ multimorbidity compared to long-term residents of Ontario.

Conclusion

These findings highlight the importance of routine population-based data collection on immigration status and world regions of origin to inform public health research. Investments in preventive health services and management of multimorbidity are needed for specific population groups.
A Case-control Study on the Correlation between Serum Bilirubin Levels and Various Types of Appendicitis
Authors: Sardoo Hamzeh Mohammadi , Rashidi Fatemeh Sadat Mir , Kohan Benyamin Fallah , Dehdashti Nasim , Shokoufamanesh Ayuob , Raesi Rasoul , Hushmandi Kiavash , Daneshi Salman
Published: October 2024

Background

Acute appendicitis is one of the most common types of surgical emergencies. Among laboratory factors, hyperbilirubinemia has recently been identified as a strong predictor of preoperative perforation and gangrene.

Aim

This study aimed to investigate the correlation between serum bilirubin levels and types of appendicitis.

Methods

This case-control study was conducted in 2022 using the convenience sampling method on 100 patients who were referred to the emergency department of Imam Khomeini Hospital in Jiroft with abdominal pain. These patients were diagnosed with appendicitis based on the initial clinical examinations. The white blood cells and total bilirubin levels were measured for all the patients. Intraoperative macroscopic findings were recorded by the surgeon, and the pathological results of the specimen were reported. Data was analyzed using SPSS 24, including descriptive and inferential statistics at the significance level of P<0.05.

Results

Among 100 patients aged between 28.5±14.8, 48% were men, and the rest were women. There was a significant difference between the mean of bilirubin levels in patients with complicated and uncomplicated appendicitis (P <0.01). The results of logistic regression analysis showed that the period of onset of symptoms to hospitalization, leukocytosis level, and preoperative total bilirubin level were significant variables for diagnosing complicated appendicitis (P<0.05).

Conclusion

In this study, we found that patients with complicated appendicitis had higher total bilirubin levels than patients with uncomplicated appendicitis. Therefore, patients with hyperbilirubinemia and clinical symptoms of appendicitis should be considered as more probable cases of perforation than those with normal bilirubin levels.
Antimicrobial Macrolide Levantilide D from Rare Marine Micromonospora sp.
Authors: Zhao Wei , Zhou Jian , Jiang Honglei , Ge Yichao , Zhou Jingming , Zhao Meilu , Lin Ru , Jiang Hong , Wu Bin
Published: October 2024

Introduction:

One new levantilide D (2) with a 20-membered macrolide, along with one
known levantilide C (1), was isolated from a rare marine actinomycetes Micromonospora sp.
(FIMYZ52).

Method:

The structural elucidation of the compounds was based on integrated analyses involving 1D
and 2D NMR spectroscopy and HR-ESI-MS.

Result:

The relative and absolute configurations of compounds 1 and 2 were ascertained by integrating
multispectral ROESY and NOESY information from analogs in conjunction with theoretical
TDDFT-ECD calculations. Levantilide D (2) exhibited antibacterial activity against Staphylococcus
aureus.

Conclusion:

A plausible biosynthetic pathway of the macrolide compounds (1-2) was proposed.

conclusion:

The structure of levantilide D in this study is characterized by a 20-membered macrolide structure with moderately long branched aliphatic chains containing hydroxyl or ketone groups. Macrolides are a class of antibiotics that are widely used to treat a variety of bacterial infections. This structure is crucial for their antibacterial activity. The variations in the lactone ring structure and the attached fatty chains have given rise to different generations of macrolides with varying properties, including antibacterial activity.
THE EFFECTS OF NPL, LDR, NIM, AND OER ON THE PROFITABILITY OF BANKS’ ACCORDING TO BANK GROUP BASED ON CORE CAPITAL
Authors: Hani Ardelya Nastiti Laila , Moh. Athoillah
Published: October 2024

The purpose is to determine the effect of risks in the banking industry on bank’s profitability in KBMI. Panel data regression analysis is used to describe the effect between the independent variable on the dependent variable. The population itself is limited to five banks with the highest equity on every KBMI up to 2022 which is collected through their financial statement. NPL has a not significant negative in KBMI 1, KBMI 2, and KBMI 3. While in KBMI 4 and all KBMI has a not significant positive effect. LDR has a significant negative effect on KBMI 1, not significant positive on KBMI 2, and significant positive on KBMI 4. NIM has significant positive effect on KBMI 1, KBMI 3, and KBMI 4. While in KBMI 2 and all KBMI has a not significant positive object. BOPO has a negative significant effect on all KBMI.
Penanganan Limbah Padat Produksi Kerupuk Rambak di Brontokan, Danurejo, Mertoyudan, Magelang
Authors: Dafa Maula Haqul , Solihah Nada I. , Prabowo Yusuf , Handziko Rio Christy
Published: October 2024

Penelitian ini bertujuan untuk mencari solusi pengolahan limbah padat yang dihasilkan dari produksi kerupuk rambak di Desa Brontokan, Kelurahan Danurejo, Kecamatan Mertoyudan, Magelang. Penelitian yang dilakukan selama hampir tiga bulan  mulai dari Februari hingga April 2019 ini juga dilakukan untuk memenuhi tugas mata kuliah Praktikum Ilmu Lingkungan. Penelitian ini dilangsungkan di salah satu rumah produksi milik Pak Naim dan menyelidiki baik limbah cair maupun limbah padat, tetapi lebih terkonsentrasi pada limbah padat yang dihasilkan.Hasil penelitian menunjukkan bahwa suhu di dalam pabrik mencapai 310C dengan intensitas cahaya 949 x 100 lux pada saat penjemuran kerupuk rambak. Flora yang berada di dalam lingkungan pabrik antara lain lumut, gulma, pohon pepaya, tanaman cabai, dan tanaman pandan, sedangkan fauna yang berada di dalam lingkungan pabrik antara lain capung, ayam, lalat, laba-laba, dan hewan air yang tidak teridentifikasi. Sementara itu, suhu di luar lingkungan pabrik sekitar 290C dengan intensitas cahaya 0.32 x 100 lux dan ditemukan banyak tanaman seperti pohon jambu, pisang, mangga, rambutan, dan hewan seperti ayam, laba-laba, lalat, dan lain-lain. Pemanfaatan limbah padat dari pabrik adalah sebagai pelet untuk pakan ikan lele karena masih mengandung nutrisi yang bila dicampur dengan beberapa bahan lain akan menjadi pakan yang memadai untuk tumbuh kembang ikan lele. Diharapkan penelitian ini mampu memberikan informasi pada masyarakat yang ini mencari alternatif pakan ikan lele sekaligus mengurangi limbah padat dari produksi kerupuk rambak itu sendiri.
Sosialisasi Rekayasa Prototipe Kelompok Masyarakat Tanpa Sampah Buangan di Kota Yogyakarta
Authors: Ariswan Ariswam , Dwandaru Wipsar Sunu Brams , Sudarsono Sudarsono , Sutrisno Hari
Published: October 2024

Telah dilaksanakan kegiatan pengabdian kepada masyarakat (PPM) kelompok dosen tahun anggaran 2022 dalam bentuk sosialisasi sistem manajemen sampah. Persoalan sampah tetap akan menjadi persoalan dalam kehidupan bermasyarakat terutama di masyarakat kota baik kota kecil, sedang, maupun kota besar. Aktivitas PPM ini menjelaskan penyelesaian masalah sampah melalui sebuah inovasi berbasis Hukum Termodinamika, sehingga diharapkan kelompok masyarakat mitra PPM tidak lagi menghasilkan sampah buang. Hal ini disebabkan sampah mereka diolah menjadi bahan yang bermanfaat bagi ekosistem. Tentu saja produk PPM ini berupa produk yang laku jual. Prinsip dasar PPM ini adalah menyadarkan setiap warga masyarakat agar melakukan pemilahan sampah menjadi sejumlah kelompok sampah karakteriktik yang kemudian setiap kelompok sampah tersebut diberi perlakuan tertentu. Perlakuan yang diberikan tentu saja sesuai karakteristik material sampahnya sehingga seluruh sampah akan dapat termanfaatkan.
Pengembangan Outbound Sains untuk Anak-anak di Hutan Wisata Wana Rahayu Sleman Yogyakarta
Authors: Marwati Siti , Salirawati Das , Purtadi Sukisman
Published: October 2024

Wana Rahayu merupakan salah satu jenis wisata alam yang berkonsep hutan mini. Wana Rahayu telah dirintis sejak tahun 2005 oleh Kelompok Tani Hutan (KTH) yang berjumlah 30 orang. Kelompok ini memanfaatkan tanah kas desa seluas 2 ha untuk menanam tanaman keras. Setelah tumbuh dengan subur kawasan tersebut menjadi seperti hutan mini. Oleh warga setempat dan KTH, tempat tersebut dikembangkan menjadi tempat yang berkonsep sebagai destinasi wisata dengan berbagai fasilitas dan wahana. Oleh karena itu diperlukan upaya pengembangan yang memanfaatkan konsep yang ada berupa pengembangan outbound sains. Pengembangan ini dilakukan dengan memberikan pelatihan kepada Kelompok Sadar Wisata (Pokdarwis) Wana Rahayu dan pemuda. Pelatihan diikuti oleh 17 orang peserta. Materi pelatihan adalah konsep dasar, eksplorasi lokasi sebagai media outbound sains dan manajemen pengembangan outbound sains. Kegiatan ini dilengkapi dengan praktek langsung percobaan sains sederhana. Semua peserta sangat antusias mengikuti kegiatan ini dari awal sampai akhir. Hasil pelatihan diimplementasikan kepada anak-anak SD di lingkungan Moyudan berupa kegiatan outbound sains di Wana Rahayu. Secara keseluruhan, lebih dari 80% peserta dapat memahami dan memperaktekkan semua materi yang disampaikan. Hasil pelatihan ini diperoleh volunteer pendamping outbound sains dan manajemen outbound sains yang lebih baik serta kerjasama antara perguruan tinggi dan mitra khalayak sasaran yaitu pemerintah Desa Sumberrahayu.
Workshop Pengembangan Diagnostic Assessment Untuk Mengukur Kesiapan Peserta Didik SMP Menghadapi Asesmen Kompetensi Minimum (AKM) Dan Programme For International Student Assessment (PISA) Bagi Guru IPA SMP di Sleman-Yogyakarta
Authors: Setyawarno Didik , Widodo Eko , Rosana Dadan , Maryati Maryati
Published: October 2024

Adanya PISA (The Programme for International Student Assessment ) dan AKM (Asesmen Kompetensi Minimum) mendorong terlaksananya pembelajaran dan sistem asesmen inovatif yang berorientasi pada pengembangan kemampuan berpikir tingkat tinggi yaitu kemampuan bernalar dan bukan berfokus pada hafalan. Kegiatan yang telah dilaksanakan adalah kegiatan pelatihan secara luring di SMPN 4 Pakem Yogyakarta dan daring dengan zoom meeting ditujukan bagi guru- guru IPA tingkat SMP di Kabupaten Sleman Yogyakarta yang diikuti secara luring 30 guru IPA dan daring 41 guru IPA. Kegiatan PPM dilaksanakan dengan model workshop, penugasan terstruktur, dan konsultasi dengan rincian sebagai berikut. Tutorial dan workshop yaitu penyampaian materi 1 adalah sistem penilaian berdasarkan kurikulum 2013 dan konsep dasar penilaian IPA model PISA dan AKM serta kemampuan literasi sains. Tugas Terstruktur yaitu penyusunan model penilaian hasil belajar siswa untuk mata pelajaran IPA berdasarkan kurikulum 2013 model AKM dan PISA untuk mengukur kemampuan literasi sains. Konsultasi tugas yaitu konsultasi dilakukan via email/HP, khususnya bagi peserta pelatihan yang mengalami kesulitan dalam menyelesaian tugas terstruktur. Hasil kegiatan ini telah dievaluasi berdasarkan masukkan dari guru IPA SMP dapat meningkatkan kemampuan kualitas penilaian peserta didik sehingga dapat menerapkan penilaian IPA model PISA untuk mengukur kemampuan literasi sains
Tobacco Use, Risk Perceptions, and Characteristics of Adults Who Used a Heated Tobacco Product (IQOS) in the United States: Cross-Sectional Survey Study
Authors: Cheng Hui G , Noggle Brendan , Vansickel Andrea R , Largo Edward G , Magnani Pierpaolo
Published: October 2024

Background

The Tobacco Heating System (THS; commercialized as IQOS) is a smoke-free heated tobacco product introduced in the United States in 2019 and authorized by the US Food and Drug Administration as a modified risk tobacco product (MRTP) in 2020. THS consists of a holder and specially designed tobacco sticks that are heated instead of burned to produce a nicotine-containing aerosol. THS was available in Atlanta, Georgia; Richmond, Virginia; Charlotte, North Carolina; the Northern Virginia region; and South Carolina before its market removal in November 2021.

Objective

This study aims to describe selected sociodemographic characteristics and self-reported health history of adults who used IQOS (AUIs), their tobacco use patterns (eg, tobacco use history, exclusive and dual-use, and switching from cigarette smoking), their risk perceptions of the product, and their understanding of MRTP messages.

Methods

The IQOS Cross-Sectional Postmarket Adult Consumer Study was a study of AUIs aged 21 years or older who were recruited from a consumer database via direct postal mail and emails. Participants completed the online survey between September and November 2021.

Results

The survey was completed by 645 current and 43 former AUIs who had used at least 100 tobacco sticks (considered established THS use) before the assessment. Of the 688 participants, 424 (61.6%) were male, 502 (73.0%) were non–Hispanic White, and the mean age was 45 years. The vast majority (680/688, 98.8%) of AUIs had ever smoked combusted cigarettes before first trying THS and 628 (91.3%) had smoked cigarettes in the 30 days before first using THS. At the time of assessment, 161 (23.4%) reported using e-cigarettes (vs 229, 33.3%, before THS use), 92 (13.4%) reported smoking cigars (vs 114, 16.6%, before THS use), and 338 (49.1%) were still smoking after an average of 1 year of THS use. Among those currently using THS who were still smoking (n=298), 249 (83.6%) smoked fewer cigarettes compared with before first trying THS; 362 of 688 (52.6%) AUIs reported having no physical health conditions evaluated in this study and almost three-quarters reported having no mental health conditions. Among all AUIs, over 563 (81.8%) had never used a cessation treatment or had not used it in the past 12 months, and 555 (80.7%) AUIs demonstrated a correct understanding of the MRTP message and AUIs perceived THS as having a lower risk than cigarettes (43.8 vs 64.4 on a 100-point composite score scale).

Conclusions

This study provides evidence that THS can help adult smokers in the United States completely switch away from cigarettes or reduce smoking.
Computational Toxicology
Authors: Borude Priyanka Hari
Published: October 2024

Abstract: The discipline of “computational” toxicology has been studied thoroughly and its applications have been implemented in the field to the advantage of many individuals by providing cheap and rapid solutions for chemical screening.The current review focuses on the recent progress, obstacles, and use of computational toxicology with respect to various predicted within toxicity endpoints; carcinogenicity, mutagenicity and reproductive spanning toxicity in males. The combination of these approaches involving quantitative structure-activity relationship (QSAR) alongside machine learning (ML) and molecular docking methods has contributed to the improvement of the accuracy of the predictions. There are clear opportunities in the area of computional toxicity for example reduction in testing on animals and more rapid evaluation of the chemical safety of substances as well as improved drug design and in the recognition of threats. Another research will be focused on the integration of multi-omic data, accurate and interpretable model development, and also extension in applicability to new fields such as nanotoxicology. In this regard, computational toxicology allows factories and companies to accommodate only less toxic or more pharmaceutically active chemicals or drugs. The development of computer-aided drug designing alongside experimental screening practices has greatly enhanced methods used in evaluating the safety of chemicals and developing new drugs
Assessment of Municipal Solid Waste of the Karwi
Authors: Ray Yoshita , Gupta G. S.
Published: October 2024

Abstract: Due to rapid increasing population, urbanization and industrialization waste generation rate also increases but, Municipal authorities are not able to collect all waste and they are not having advance technology for treating such waste it gives result in form of pollution. The paper aims to characterize the waste generated in municipality of Karwi, in the state of Uttar Pradesh, India. Municipal Solid waste(MSW) is a heterogeneous waste and composition of the waste varied from place to place. First of all, the entire study area was surveyed to obtain essential information regarding waste generation areas and collection points. On the basis of information, representative sample were selected in each point. Collected samples were thoroughly mixed and segregated into different categories and data represented in percentage. The characteristics of the municipal solid waste were determined in terms of the components, average mass (kg) and percentage .Characterization of municipal solid waste shows Karwi waste comprise maximum plastic (29.01%), Metal (0.025%), Wood(0.0215%), Cardboard(3.77%), Rubber(1.9%), Paper(5.1%), Rags(3.22%), Packaging Material (11.02%), Glass (8.42%), Compost (8.025%). Thus, on the basis of this study we may conclude that solid waste management and recycling is major issue of Varanasi district. We can reuse various types of waste depending upon the nature of waste. We can also make alternate use of that waste like energy production. Community participation in solid waste management may be a better option
Optimizing IOT Network Performance: A Study on Low-Power Wide-Area Network (LPWAN) Technologies for Smart City Applications
Authors: Tripathi Dr. Diwakar Ramanuj , Kuthe Bharati Sitaram
Published: October 2024

Abstract: This research explores with a specific focus on smart city applications, how to optimise the execution of Web of Things (IoT) networks by utilising breakthroughs in Low-Powered Wide Area Networks (LPWAN). As IoT devices proliferate and generate vast amounts of data, having a competent network becomes essential, especially when dealing with low device thickness and limited power availability. This analysis provides a detailed energy consumption model tailored to LoRaWAN, based on a deeper understanding of its functional components in Internet of Things scenarios. The review uses MATLAB for replication and looks at two clear scenarios: the standard allocation of spreading factors without optimisation and an improved method that uses particle swarm optimisation (PSO) for dynamic spreading factor work. The results show that the network energy consumption dropped significantly, from 6.3997×10^ (- 17) Joules to 2.5230×10^(- 17) Joules, along with increased throughput, decreased parcel misfortune, and decreased idleness. Through a detailed analysis of several parameters, such as network density and data transfer efficiency, this study demonstrates the feasibility of the suggested optimisation model in terms of improving battery efficiency and overall network performance. Finally, the findings demonstrate how efficient LPWAN systems may provide robust and useful IoT environments, which are essential for the successful implementation of smart city initiatives.
Investigating the Impact of Cloud Computing on Environmental Sustainability
Authors: Tripathi Dr. Diwakar Ramanuj , Sarve Dipali Ishwar , Khobragade Shweta Rajesh
Published: October 2024

Abstract: It discusses the effects of cloud computing on the environmental aspect of sustainability by focusing specifically on carbon emission reduction, cost-cutting, and exploiting renewable sources of energy. Using only hypothetical data obtained from TechCorp Solutions, Global Data Inc., InnovaTech Ltd., and NextGen Systems, this paper reveals strong decreases in energy usage - between 38.89 percent to 45 percent in cost savings following the implementation of cloud computing. The study also records remarkable carbon emission reductions. The cuts in drops range between 42.86% and 45%. Not only this, but on implementation, every firm asserted a flat rate cut of 40% in operating costs. The second investment area the research probes is the commitment of the major cloud providers to renewable energy sources. It finds some using up to 100% from renewable sources. Cloud data centers are much more efficient than traditional data centers, as the PUE comparison indicates, and hence produce maximum energy efficiency with the least negative impact on the environment. The results represent important implications regarding cloud computing in light of sustainability goals and revenue generation. This implies that cloud technology will be used much more widely within various industries going forward.
Edge-Cloud Continuum: Integrating Edge Computing and Cloud Computing for IOT Applications
Authors: Tripathi Dr. Diwakar Ramanuj , Deshlahare Harish Tikam , Markhande Roshan Ramdas
Published: October 2024

Abstract: This research will use a mixed-method approach with qualitative understanding and the quantitative analysis of data to examine how edge and cloud computing blend into the frame of an edge-cloud continuum for IoT applications. It adopts an exploratory and descriptive approach to research in carrying out a holistic assessment of the edge-cloud continuum in efficiency, scalability, and performance. The data required for collection was obtained through simulations using the IoTSim-Osmosis framework and also through the use of other case studies and literature published elsewhere before preparing this document. The data is usual to what has been used in several IoT deployments, including smart cities, the health sector, and industrial automation. Based on those KPIs - latency, 70.83%; bandwidth utilization, 40% reduced; energy consumption, 25% reduced; and task completion rate improved by 18.75% - the edge-cloud continuum significantly outperforms traditional cloud-only systems. Especially a very big reduction in latency is significantly important for real-time applications as it would drive the potential ability to improve responsiveness in those applications, like autonomous cars and smart healthcare. The current study demonstrates that the edge-cloud continuum can efficiently enhance resource allocation and enhance the effectiveness of complex IoT systems. This has wide implications for designing and implementing IoT solutions across industry domains
Data Quality and Data Governance: Investigating the Impact on Data Science Outcomes
Authors: Tripathi Dr. Diwakar Ramanuj , Jain Mansi Mukesh , Kharche Poonam Gajanan
Published: October 2024

Abstract: The purpose of this study is to evaluate the effects that high data quality and effective data governance have on the outcomes of data science, with a particular emphasis on the vital roles that these factors play in improving decision-making within businesses. The rising use of data science projects by enterprises for the purpose of digital transformation presents major hurdles, particularly with regard to the trustworthiness of data and compliance with appropriate legal frameworks. A high data quality improves model accuracy, decision-making efficiency, and error reduction, while good governance boosts compliance with rules, data security, and accessibility, according to the findings of the study, which were derived from an analysis of data collected from professionals working in data science and related sectors. These findings demonstrate the synergy that exists between data quality and governance, underscoring the fact that businesses may obtain more dependable and trustworthy outcomes by prioritizing these components, which in turn supports digital transformation programs that are effective and responsible.
Enhancing IOT Security: Investigating Lightweight Encryption Algorithms for Resource-Constrained Devices
Authors: Tripathi Dr. Diwakar Ramanuj , Akhtar Huzaifa Naz Nasim , Bhandarkar Rohit Rajendra
Published: October 2024

Abstract: In this work, we examine three LWCs: namely AES-128, SPECK, and ASCON, considering their presentation on resource-constrained IoT devices. With the large-scale deployment of IoT in all areas of industry, ensuring the security and efficiency of cryptographic implementations has become highly critical because typical IoT devices are usually characterized by limited memory, processing power, and energy resources. The study ascertains the memory usage, throughput, energy efficiency, and strength of security in the chosen algorithms by highly popular resource-constrained boards such as Arduino Nano and Arduino Micro. The benchmarks have shown that SPECK has the highest throughput, which is much efficient for constrained environments. One of the significant features of ASCON is that it has minimized memory usage and high energy efficiency. Therefore, it suits for long-term usage in IoT. AES-128 is secure but resource-intensive, so its usage may be irrelevant in very constrained environments. The results are of great value for IoT developers as a contribution to the selection of cryptographic algorithms based on the conditions and resource restrictions of the IoT devices involved so that optimized security solutions are achieved.
Panorama dos principais estudos clínicos sobre medicamentos contra tuberculose no Brasil e no mundo
Authors: Pereira da Silva Santos Sílvia , Maria Lins Mendes Flavia , Borges Gouvea Barroso Wanise Borges Gouvea Barroso
Published: October 2024

Introduction: This article provides a comprehensive overview of tuberculosis (TB) drug clinical trials conducted in Brazil and globally. TB is highlighted as one of the leading lethal infectious diseases, facing the growing challenge of drug resistance. Objective: The study aims to map recent advances and identify gaps and challenges in the search for effective treatments for TB, emphasizing Brazil’s contribution, which is known for its research in tropical diseases. Method: An analysis of clinical trials related to TB was conducted, focusing on the geographical diversity of the studies and the intersectoral collaboration between governments, academic institutions, and non-governmental organizations. The survey covered research at both national and international levels. Results: The results indicate a significant increase in the number of clinical trials, reflecting a growing interest and investment in research and development (R&D) aimed at combating TB. Regions with high disease incidence have received special attention. Collaboration between different sectors has been crucial in promoting progress. Conclusions: Despite the advances, the study underscores important challenges, such as the need for more R&D investments and the urgency of public policies to facilitate access to new drugs. The article highlights the importance of continuous and collaborative efforts in developing safe and accessible treatments, as well as the effective integration of innovations into the healthcare system, with special attention to vulnerable populations.
Feuerbach: ética, antropologia e crítica da religião
Authors: Bittencourt Antônio Adriano de Meneses , Chagas Eduardo Ferreira , Lopes Jorge Luís Carneiro , Sousa Raylane Marques
Published: October 2024

No ano em que se completa 200 anos do nascimento de Feuerbach, esta obra dedica-se a apresentar uma ampla e rica visão sobre o filósofo. Os textos que o leitor agora tem em mãos diferenciam-se por atualizar – por meio de novos estudos de sua obra – a percepção quanto à sua recepção aos problemas enfrentados em seu tempo, seja no campo do debate entre espiritualismo e materialismo, seja na discussão sobre a natureza orgânica e inorgânica, seja sobre a natureza humana, seja no tocante à esfera ético-política. Esta obra é, também, um convite indispensável a todos que se interessam pelo pensamento filosófico e, em especial, pela história da filosofia alemã do século XIX, ao oferecer-se como oportunidade para o conhecimento dos intrigantes argumentos de Feuerbach - muitos deles pensados para responder a provocações de diferentes naturezas, refutar conceitos de filósofos que ele desacreditava ou delimitar o seu próprio itinerário teórico. A obra distingue-se, finalmente, por servir de consulta para estudos e pesquisas sobre Ludwig Feuerbach no Brasil.
Pierre Shlag. The Science of Law and Postmodernism: Introduction to Discourse
Authors: Samokhina E. G. , Khmelevsky A. M.
Published: October 2024

In this paper, the authors attempt to examine the impact postmodernism has had on the theory of law. Since the implementation of postmodern methodology in legal science in its most serious form occurred in the United States, the authors place the main emphasis in their analysis on American legal thought. The authors consider how the main provisions of postmodernism are reflected in legal theory: the textuality of the world; freedom from grand narratives; death of the subject, etc. The authors emphasize that if from the point of view of ontology, postmodernism was not able to give law some new theory that explains its essence; in terms of axiology and epistemology, it nevertheless enriched jurisprudence. It seems that postmodernism received its most striking development within the framework of the school of critical legal studies and was reflected in the works of D. Kennedy and P. Schlag.
Идея правовой коммуникации как новый органон юридической науки
Authors: Разуваев Н. В.
Published: October 2024

Выходящий в свет очередной номер журнала «Теоретическая и прикладная юриспруденция» является наглядным свидетельством успешной реализации тех принципов, изначально положенных в основу редакционной политики, о которых нам уже приходилось писать ранее.
An Empirical Study on the Impact of Upzoning on House Prices: Focusing on the Naebang Station Intersection in Seoul
Authors:   Konkuk Research Institute of Real Estate and Urban Studies, Choi Won-Joon , Lee Seong-won , Lee Seong-won
Published: October 2024

This study uses the Differences-in-Differences (DID) method to examine the impact of upzoning announcements on house prices near Naebang Station. Data were analyzed using two models: apartments and townhouse & multi-family based on Chow Test result. We find that the upzoning announcement significantly increased house prices within 200 meters of Naebang Station upzoning area with statistically significant rises for townhouses and multi-family units, suggesting a positive externality. Apartments did not show significant effects, however we found significant price rise for townhouse and multi-family units due to substantial future development potential. Housing redevelopment projects also statistically significantly impacted house prices and there is much greater price increase in the redevelopment project. These findings highlight the need for policy-makers to anticipate varied market responses to rezoning initiatives and tailor policies to different housing types and neighborhood characteristics, contributing to a better understanding of upzoning policy impacts on housing markets.
English Pronunciation: A Manual to Understand and Communicate Effectively
Authors: Pelayo Sañudo Eva
Published: October 2024

This Manual aims to introduce the formal teaching and learning of pronunciation within the basic English subjects at the University of Cantabria. The main goal is that students acquire some elementary knowledge about phonetics in order to improve their oral skills and their overall linguistic competence in English. Thus, innovative and interactive materials will be designed for teaching the pronunciation of the English language. Students are expected to master or correct their pronunciation by knowing the phonetic rules and features of English. This essential knowledge of the language, particularly when it comes to communicating properly, will be addressed through a series of contents that exhaustively but simply collect the main elements on pronunciation, including the multiple differences between English and the Spanish sounds. This proposal has a wide-ranging application within all basic English subjects at the University of Cantabria and is interested in the linguistic immersion as a complement to the academic instruction in the classroom. In particular, the development of oral skills (speaking and listening) is promoted.
Educação midiática antirracista
Authors: Vieira Amanda , Barros Kelly Ayanna Peters , Geisler Maeles Carla , Bona Rafael José
Published: October 2024

A cidade de Blumenau, situada no estado de Santa Catarina, é conhecida nacionalmente por sediar a Oktoberfest – uma festa que celebra a cultura alemã. A partir de uma notícia lida em um jornal online que relata um caso de racismo cotidiano sofrido por blumenauenses negros, na festa Oktoberfest, objetiva-se compartilhar a experiência de produzir um videocast sobre o tema “mídias e ações antirracistas”. O episódio aborda a importância das mídias no combate ao racismo e a relevância de obras de escritoras negras africanas. Os resultados mostram que o videocast possibilita discussões contemporâneas relevantes, amplia o acesso do público a conteúdos descentralizados e diversos.
Thermal Science Journal: Foundation, history of development, and scientific contribution
Authors: Oka Simeon
Published: October 2024

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Value of real-time tissue elastography diffusion quantitative analysis combined with tumor markers for differential diagnosis of benign and malignant breast nodules
Authors: Zhu Ling , Mei Lina , Pan Xuekui
Published: October 2024

Background/Aim. Serum tumor markers (TMs) are commonly combined with imaging examinations to differentiate benign and malignant breast nodules (BNs), but there are still limitations. The aim of the study was to determine the value of real-time tissue elastography (RTE) diffusion quantitative analysis combined with serum TMs for the differential diagnosis of benign and malignant BNs. Methods. A total of 149 patients with BNs were included in this study. They were assigned to the benign BN group (n = 87) and malignant BN group (n = 62). All patients were examined using RTE diffusion quantitative analysis. Venous blood was collected to detect the levels of TMs carcinoembryonic antigen-CAE, cancer antigen (CA) 153, and CA 199. The value of RTE diffusion quantitative analysis parameters, TMs, and their combination for the differentiation of benign and malignant BNs was analyzed using the receiver operating characteristic-ROC curve. Results. Among all the above indicators, the area ratio of the blue region (AREA%) had the highest differential value, with an area under the curve (AUC) of 0.916 [95% confidence interval (CI): 0.812? 0.967], while sensitivity and specificity were 88.90% and 86.79%, respectively (p < 0.05). Compared to RTE diffusion quantitative analysis parameters or TMs alone, the combination of the two showed the highest value for the differentiation of benign and malignant BNs, with an AUC of 0.957 (95% CI: 0.834?0.982), while sensitivity and specificity were 95.50% and 94.33%, respectively (p < 0.05). Conclusion. RTE diffusion quantitative analysis combined with TMs has a high value for the differentiation of benign and malignant BNs.
A Modified Bubnov-Galerkin Method for Solving Boundary Value Problems with Linear Ordinary Differential Equations
Authors: Volosova N. K. , Volosov K. A. , Volosova A. K. , Pastukhov D. F. , Pastukhov Yu. F.
Published: October 2024

Introduction. The paper considers the solution of boundary value problems on an interval for linear ordinary differential equations, in which the coefficients and the right-hand side are continuous functions. The conditions for the orthogonality of the residual equation to the coordinate functions are supplemented by a system of linearly independent boundary conditions. The number of coordinate functions m must exceed the order n of the differential equation.

   Materials and Methods. To numerically solve the boundary value problem, a system of linearly independent coordinate functions is proposed on a symmetric interval [−1,1], where each function has a unit Chebyshev’s norm. A modified Petrov-Galerkin method is applied, incorporating linearly independent boundary conditions from the original problem into the system of linear algebraic equations. An integral quadrature formula with twelfth-order error is used to compute the scalar product of two functions.

   Results. A criterion for the existence and uniqueness of a solution to the boundary value problem is obtained, provided that n linearly independent solutions of the homogeneous differential equation are known. Formulas are derived for the matrix coefficients and the coefficients of the right-hand side in the system of linear algebraic equations for the vector expansion of the solution in terms of the coordinate function system. These formulas are obtained for second- and third-order linear differential equations. The modified Bubnov-Galerkin method is formulated for differential equations of arbitrary order.

   Discussion and Conclusions. The derived formulas for the generalized Bubnov-Galerkin method may be useful for solving boundary value problems involving linear ordinary differential equations. Three boundary value problems with second- and third-order differential equations are numerically solved, with the uniform norm of the residual not exceeding 10–11.
Construction of Second-Order Finite Difference Schemes for Diffusion-Convection Problems of Multifractional Suspensions in Coastal Marine Systems
Authors: Sidoryakina V. V.
Published: October 2024

Introduction. This paper addresses an initial-boundary value problem for the transport of multifractional suspensions applied to coastal marine systems. This problem describes the processes of transport, deposition of suspension particles, and the transitions between its various fractions. To obtain monotonic finite difference schemes for diffusion-convection problems of suspensions, it is advisable to use schemes that satisfy the maximum principle. When constructing a finite difference scheme that adheres to the maximum principle, it is desirable to achieve second-order spatial accuracy for bothinterior and boundary points of the domain under study.

   Materials and Methods. This problem presents certain difficulties when considering the boundaries of the geometric domain, where boundary conditions of the second and third kinds are applied. In these cases, to maintain second-order approximation accuracy, an “extended” grid is introduced (a grid supplemented with fictitious nodes). The guidelineis the approximation of the given boundary conditions using the central difference formula, with the exclusion of the concentration function at the fictitious node from the resulting expressions.

   Results. Second-order accurate finite difference schemes for the diffusion-convection problem of multifractional suspensions in coastal marine systems are constructed.

   Discussion and Conclusion. The proposed schemes are not absolutely stable, and a detailed analysis of stability and convergence, particularly concerning the grid step ratio, remains an important problem that the author plans to address in the future.