bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rhetoric in Times of Conflict: A Study of Famous War-Time Speeches
Authors: Oneţ Alina-Elena 
Published: July 2024

Abstract
This article focuses on the profound impact of rhetoric in times of armed conflict, with a special focus on some of the most famous war-time speeches throughout history. By means of a comprehensive analysis, the present study aims to shed light on the rhetorical strategies employed by leaders in order to inspire, unite, and mobilize people in times of war. By dissecting the language, structure, and delivery of these speeches, we analyzed the powerful role of rhetoric in shaping historical narratives and fostering collective action. Through the lens of communication theory and historical context, the paper explores the enduring influence of these speeches on public discourse and their significance in the annals of human conflict. War-time speeches have long served as powerful tools of persuasion, shaping the course of history. From the compelling rhetoric of Winston Churchill during World War II to the impassioned calls to arms by leaders throughout the ages, these speeches have forged bonds of solidarity and fortitude in the face of adversity. Therefore, this article embarks on a journey through time to analyze the rhetorical competence of leaders in times of crisis, dissecting the linguistic devices and strategic appeals that have defined some of the most iconic war-time speeches in history.
Modeling Scenarios Combining Cyber Intelligence Procedures, Methods, Technologies and Techniques
Authors: Atanasov Atanas , Gagamova Veselina , Hristozov Ivan , Pavlova Elitsa 
Published: July 2024

Abstract
This paper presents the capabilities of specialized simulation software to develop a visual model that represents a cyber intelligence scenario. The architecture development method is applied to create an operational view for the tactics to conduct an intelligence attack by a team in the Computer Security Incident Response Centre in the structures related to crisis management and response. For this purpose, a prognostic scenario for reconnaissance attack tactics was developed using the toolkit of the simulation software, in which the Gather information about the victim’s network techniques are applied.
Methods, Models, and Methodologies for Numerical Modeling of Projectile Impact on a Plate
Authors: Badea Mihaela-Cristiana , Hadăr Anton , Năstăsescu Vasile , Bârsan Ghiţă , Adetu Alina , Adetu Cătălin 
Published: July 2024

Abstract
This article presents the most modern and efficient methods for numerical computation of structures. Analyzing the impact phenomenon requires a special approach with high-performance software products capable of modeling complex phenomena, such as the impact of kinetic projectiles on armor plates. The numerical methods for structural analysis considered and presented in this report include the finite element method, the Galerkin’s free element method (ELG), and the free particle method (MPL) - also known as the Smoothed Particle Hydrodynamics (SPH) method. In addition to using these methods, consideration was given to using the most efficient software product, selecting the ANSYS/LS-DYNA program for this purpose.
Panels Made of Composite Coated Aramid Fabrics, Under Spike Weapon Attack
Authors: Deleanu Lorena , Rusu Viorel Totolici , Ojoc George Ghiocel , Cristea George Cătălin , BoȚan Mihail , Vasiliu Alexandru Viorel , Popescu Christian 
Published: July 2024

Abstract
This paper presents the results of puncture tests on panels made of Twaron® fabrics SRM509. Tests were done with the help of the Instron 9340 drop-test machine for evaluating the influence of the number of layers and the striking energy level on the panel. There were tested panels with 16 layers to 40 layers and the energy levels were 24 J, 33 J and 43 J. The spike has the geometry recommended in NIJ Standard 0115.00 Stab Resistance of Body Armor. The failure mechanisms of the panels are presented at macro to micro levels, with the help of photos and images obtained with a scanning electron microscope.
Development and Characterization of Novel Illumination Pyrotechnic Formulations
Authors: Dîrloman Florin , Noja Gabriel-Flavius , Rotariu Adrian , Rotariu Traian , Trană Eugen , Iorga Ovidiu , Gîlcă Narcis 
Published: July 2024

Abstract
This paper describes the investigations related to the development and characterization of various illumination pyrotechnic compositions based on polyurethane binders synthesized from commercial isocyanates and polyols, an oxidizer, two types of metallic powder and a burning catalyst. These types of binders improve the processability and minimize the risk associated with the manufacture process. The performance and safety characteristics of the novel pyrotechnic formulations were evaluated through various analytical techniques (DTA) and specific tests (rate of combustion, heat of combustion, specific volume, chemical stability, sensitivity to impact stimuli), according to NATO standards, providing promising preliminary results for further experimental investigations.
Portable Isolation Unit with Positive and Negative Pressure, for Contaminated People’s Transportation
Authors: Său Ciprian , Ginghină Raluca-Elena , Alexe Florentina , Călinescu Dan 
Published: July 2024

Abstract
Portable isolation units (PIUs) represent a critical component in the management of chemical, biological, radiological and nuclear (CBRN) threats, as well as for addressing broader medical needs during infectious disease outbreaks. These units are designed to offer a controlled environment that can be easily deployed to isolate individuals either suspected of carrying infectious agents or contaminated with hazardous materials. The functionality of PIUs is enhanced by their ability to maintain specific atmospheric conditions, such as positive or negative pressure, to prevent the spread of contaminants. In the context of CBRN threats, PIUs provide a safe space for decontamination and initial medical treatment, reducing the risk of broader environmental contamination and exposure. Similarly, during pandemics or outbreaks of highly infectious diseases, PIUs are indispensable for containing pathogens and protecting both healthcare personnel and the public. This study outlines the design and testing of the BIOEVAC portable isolation unit, which can operate with both positive and negative pressure for transporting contaminated individuals. Originally developed as a technological demonstrator during the COVID-19 pandemic for emergency use, its capabilities have been enhanced and it has now been transferred to the industry for mass production.
Enzymatic synthesis and parameters affecting on citronellyl acetate ester by trans-esterification reaction
Authors: Haq Naveed ul , Liaquat Muhammad , Jahangir Muhammad , Khan Abid , Khan Ayaz Ali , Haq Taqweem ul , Aziz Tariq , Alharbi Metab 
Published: June 2024

Abstract
Citronellyl acetate is a crucial component of flavor and fragrance in the food, cosmetic, and pharmaceutical sectors. In non-aqueous media, it can be successfully produced via lipase catalysis. This study focuses on the lipase-catalyzed trans-esterification of citronellol alcohol with geranyl acetate ester in a non-aqueous medium to produce citronellyl acetate. For the synthesis of citronellyl acetate, crude acetone powders isolated from several plant seedlings of black cumin, fenugreek, coriander, flax, and rape seed were examined for lipase activity. Black cumin seedling lipase had the highest level of citronella acetate production with a yield of 76.32% in 72 h of reaction time. To assess the impact of different reaction parameters on citronellyl acetate production in organic solvents, hexane was chosen as the best solvent, and black cumin seedling lipase was selected as the best biocatalyst. The highest conversion yield of ester (76.32%) was found when 0.25 M of geraniol acetate and 0.25 M of citronellol reacted at 41 oC after 72 h in the presence of 0.25 g of seedling lipase enzyme in n-hexane. It has been determined that crude black cumin seedling lipase is inexpensive yet effective and has the potential to be used industrially for the synthesis of terpene esters.
The study of the impact of murmurs on heart sounds by using multiple signal classification pseudo-spectrum
Authors: Souidi Abdelhakim , El Amine Debbal Sidi Mohammed , Meziani Fadia 
Published: June 2024

Abstract
The aim of this study was to present a novel framework for the analysis of the impact of murmurs on heart sounds recorded in real clinical environment. Heart sound records were rigorously selected from the PASCAL dataset using an automated signal quality assessment algorithm. Recordings from 159 patients were analyzed for spectral differences in normal, systolic and diastolic murmurs using a Multiple signal classification algorithm pseudo-spectrum. The spectral features evaluated for the first heart sound (S1) and the second heart sound (S2) were: energy, frequency and frequency density. Results show increased energy of fundamental heart sounds in systolic and diastolic murmurs similarly, whilst frequency is decreased inversely. Furthermore, the frequency density of the first and second heart sounds decreases in murmurs and it is shown to be the lowest in systolic murmur cases.
Book review: “Guidelines on professional ethics for medical physicists”, Training Course Series 78, Vienna, 2023
Authors: Jafri Mishkat Ali , Ulfat Intikhab 
Published: June 2024

Abstract
The International Atomic Energy Agency (IAEA) has published the document namely “Guidelines on professional ethics for medical physicists” in 2023. This document complements several other IAEA publications on similar topics like IAEA Human Health Series 25. The “code of ethics” in medical physics practices is an essentially important topic and this publication covers the topic comprehensively. However, a few areas of improvement like the correlation of this publication with the concepts of leadership, safety culture, etc. have been identified in this review.
ARDL Inference for Some Macroeconomic Variables on Nigerian Stock Prices
Authors: David Ikwuoche John , Nnamdi Sixtus Kenechukwu , Bamigbala Olateju Alao 
Published: June 2024

Abstract
This study presents inferences about the effect of quarterly returns of some macroeconomic variables on Nigerian stock prices (NSP) by means of the autoregressive distributed lag (ARDL) model. Four models were studied using NSP, inflation rate (IFR), broad money supply (BMS), and exchange rate (EXR) data that spanned from 1999 to 2021. The rolling correlation was first carried out to test the significance of signals between each input variable and NSP. In testing for co-integration existence and to account for short- and long-term relationships between the study variables, the ARDL bounds test and error correction model (EMC) were utilized, respectively. Also, in determining the stability of the estimated parameters, the recursive cumulative sum (RCUSUM), RCUSUM of squares, and recursive moving sum (RMOSUM) charts were applied. The first model results revealed that at 5% IFR, it has no influence on NSP, both in the long run and short run. However, the second model revealed that BMS has a significant positive effect, both in the long run and short run, on NSP. The third model results showed that the EXR effect on NSP is not significant at 5% in the long run, but in the short run, it significantly negatively affects NSP in the second and third lags. Results from the fourth model revealed that IFR at lag one and BMS are positive and significant in influencing NSP in the long run. In contrast, EXR has a significant negative influence on NSP in the short run, but BMS has a positive and significant effect on NSP in the short run at 5%. The RCUSUM, RCSUMS, and RMOSUM charts revealed that the estimated parameters for the respective models are stable. The study concludes that NSP is influenced negatively by EXR and positively by IFR and BMS. The study recommends that the monetary policy rate should be controlled to lower the cost of borrowings, enhance liquidity levels in the stock market, and develop policies that can have a combined positive impact on stock prices.
Indeks Literasi Digital Kader TP PKK
Authors: Nurhopipah Ade , Arsi Primandani 
Published: July 2024

Peningkatan kualitas literasi digital merupakan upaya penting terbentuknya Masyarakat digital sehat. Langkah awal yang perlu dilakukan adalah identifikasi sejauh mana kompetensi pengguna dunia digital. Penelitian ini melakukan pengukuran Indeks Literasi Digital dengan target kader Tim Penggerak Pemberdayaan Kesejahteraan Keluarga (TP PKK) di Desa Tambaksari Kidul, Kembaran, Banyumas. Target ini dipilih karena mereka merupakan salah satu pihak yang berperan signifikan dalam menentukan keberhasilan pendidikan non-formal. Tujuan penelitian ini dilakukan untuk memberikan gambaran tentang tingkat literasi kader PKK dibandingkan dengan Indeks Literasi Digital nasional di Indonesia. Instrumen yang digunakan adalah survei yang mengadopsi instrumen Kementerian Komunikasi dan Informatika berdasarkan Road Map Literasi Digital Indonesia 2020-2024. Sebanyak 93 responden berpartisipasi dalam penelitian ini yang menggunakan jenis teknik total sampling. Hasil analisis menunjukan bahwa indeks tertinggi adalah pada pilar budaya digital dengan skor 4,05 dan indeks terendah adalah pada pilar keamanan digital dengan skor 2,83. Kesimpulan dari analisis yang dilakukan Skor total Indeks Literasi Digital responden adalah 3,52, sedikit di bawah indeks nasional pada tahun 2022 yaitu sebesar 3,54. Improving digital literacy quality is essential to create a healthy digital society. The first step is to identify the extent of the user's competence in the digital world. This research measures the Digital Literacy Index targeting the Family Welfare Empowerment Team (TP PKK) cadres, in Tambaksari Kidul Village, Kembaran, Banyumas. This target was chosen because they are one of the parties who play a significant role in determining the success of non-formal education. This research aims to provide an overview of the literacy level of PKK cadres compared to the national Digital Literacy Index in Indonesia. The instrument used was a survey that adopted the Ministry of Communications and Information Technology's instrument based on the Indonesian Digital Literacy Road Map 2020-2024. 93 respondents participated in this research using a total sampling technique. The results show that the highest index is in the digital culture pillar, with a score of 4.05, and the lowest index is in the digital security pillar, with a score of 2.83. The respondents' total Digital Literacy Index score is 3.52, slightly below the national index in 2022, which is 3.54.
Studi Komparasi Dukungan Sosial Teman Sebaya yang Dirasakan (Perceived Social Support) pada Mahasiswa Perantau & Lokal
Authors: Putri Freliska Adinda , Widodo Yohannes Heri 
Published: June 2024

Tujuan dari penelitian ini ialah: 1) Menemukan perbedaan perceived social support pada mahasiswa perantau & lokal, 2) Mengukur tingkat PSS mahasiswa perantau, 3) Mengukur tingkat PSS mahasiswa lokal, 4) Mengidentifikasi skor rendah pada butir skala PSS sebagai topik bimbingan klasikal. Jenis & desain penelitian yang digunakan adalah kuantitatif komperasi. Terdapat 105 responden yang terlibat, seluruhnya merupakan mahasiswa aktif di Yogyakarta. Pengambilan data memuat 2 jenis kuesioner, yaitu kuesioner terbuka sebagai penentu asal daerah responden dan kuesioner tertutup dengan Skala Likert yang berfungsi mengukur item Perceived Social Support mahasiswa antar kelompok sampel. Terdapat 40 item valid yang terbagi ke dalam 4 aspek, yaitu: 1) Penerimaan bantuan emosional; 2) Penerimaan bantuan informasi; 3) Penerimaan bantuan instrumental; 4) Penerimaan bantuan penilaian. Indeks reliabilitas Alpha Cronbach dari kuesioner ini sebesar 0,951. Pengujian selanjutnya memperoleh data yang berdistribusi tidak normal dan homogen. Karena hasil asumsi tidak terpenuhi, peneliti menggunakan uji beda non-parametrik Mann Whitney dengan bantuan program SPSS 26.0 for windows.Pemaparan hasil dari studi ini ialah: 1) Tidak ada perbedaan Perceived Social Support yang signifikan antara kelompok mahasiswa perantau & lokal; 2) Tingkat Perceived Social Support rata-rata mahasiswa perantau cenderung pada kategori tinggi; 3) Tingkat Perceived Social Support mahasiswa lokal cenderung pada kategori tinggi; 4) Terdapat 4 item kuesioner dengan jumlah capaian skor yang teridentifikasi rendah, sehingga topik bimbingan yang bisa diusulkan bertema “Aku & Mereka: Batasan Sosial & Personal.”.
Detection of Zn Water Pollution by a Biosensor Based on Alkaloids Derived from Iraqi Catharanthus Roseus
Authors: Al-Azzawi Marwah A. , Saleh Wasan R. 
Published: June 2024

In this work, the detection of zinc (Zn) ions that cause water pollution is studied using the CSNPs- Linker-alkaloids compound that was prepared by linking extracted alkaloids from Iraqi Catharanthus roseus plant with Chitosan nanoparticles (CSNPs) using maleic anhydride. This compound is characterized by an X-ray diffractometer (XRD) which shows that it has an orthorhombic structure with crystallite size in the nano dimension. Zeta Potential results show that the CSNPs-Linker-alkaloids carried a positive charge of 54.4 mV, which means it possesses high stability. The Fourier transform infrared spectroscopy (FTIR) shows a new distinct band at 1708.93 cm-1 due to C=O esterification. Scanning electron microscope (SEM) images show that the CSNPs- Linker- alkaloids compound have two shapes in the nano dimension: spherical particles and nanotubes, which may be due to nuclei and growth processes, respectively. The energy gap calculated from the photoluminescence spectrum is equal to 2.5 eV. The Hall effect measurements prove that the synthesized CSNPs- Linker-alkaloids compound is a p-type semiconductor. The cycle voltammetry technique was used to detect the Zn ions in different concentrations in the water by modifying the electrochemical system's glassy carbon electrode (GCE) with a CSNPs-Linker-alkaloids compound. The modified electrode was used to detect Zn ions in the range of (1-8) ppm, which causes water pollution. The best sensor sensitivity R² equals 0.997 for oxidation and 0.993 for reduction. This modified electrode (GCE /CSNPs- Linker-alkaloids) acts as a good biosensor for heavy metals detection in water as well as for biophysics applications.
On Soft Strongly Ƅ*-Separation Axioms
Authors: Hameed Saif Z. , Radwan Abdelaziz E. , El-Seidy Essam 
Published: June 2024

In this paper, we study some new types of soft separation axioms called soft strongly Ƅ*-separation axioms. We show that, the properties of soft strongly Ƅ*-T_i space (i =0, 1,2) are soft topological properties under the bijection, soft irresolute and soft continuous mapping. Furthermore, the property of being soft strongly Ƅ*-regular and soft strongly Ƅ*-normal are soft topological properties under bijection, soft continuous functions. Moreover, their relationships with existing spaces are studied.
Enriching Culinary Variety through Ice Cream Innovation with Traditional Herbal Medicine Turmeric Acid at Jinggo Café & Restaurant
Authors: Dwi Nur Hidayati Shinta , Randhi Nanang Darmawan  , Wiralatief Sanjaya Aditya 
Published: June 2024

The development of Tourism encourages the development of health tourism (wellness tourism and herbal tourism) by re-socializing herbal medicine, by innovating the utilization of sour turmeric herbal medicine into sour turmeric herbal ice cream so that it becomes a culinary alternative. This study aims to determine the manufacturing process, the level of public liking and cost analysis. The type of approach used is research and development (R&D) with the 4D development model (Define, Design, Development and Dissemination) which uses hedonic and hedonic quality organoleptic tests. The results showed that the best recipe used a ratio of 40% herbal medicine: 100% milk with a favorability level of 86.7%. In the process of making sour turmeric herbal ice cream through several stages, namely preparation of ingredients, mixing ingredients, pasteurization, homogenization, aging or freezing, packaging and storage. With the selling price of the Sour Turmeric Herb Ice Cream product IDR 6,000 / portion.
Translation Challenges in Children's Literature: A Comparative Study of Story Narratives
Authors: Saeed Haneen Qasim 
Published: July 2024

This paper presents the intricate issues and strategies related to the translation of children's books, and it particularly focuses on the comparative analysis of "The Tale of Peter Rabbit" by Beatrix Potter and "Le Petit Prince" (The Little Prince) by Antoine de Saint-Exupéry. The study finds that the typical problems in translation are, idiomatic expressions, cultural reference, and the voice preservation, along side-sheet-specific challenges which each of the text faces. The translator of Potter's work should have skills of transposing all culturally oriented peculiarities of the UK land to the international audience to keep it accessible. On the contrary, "Le Petit Prince" translation will be the process of capturing the abstract philosophical themes in the simple yet profound language. It is also stressed that the role of the translation as a cultural mediator similarly requires the use of innovative techniques adapted to indigenous culture. Among the next steps for research is the extension of comparative studies to the text of diverse cultures and an inclusion of interdisciplinary approaches, incorporation of technological support and finally an empirically study of the impact of texts. This study is also the fuel for the development of the understanding of translating children's literature and to make these stories more accessible and educational throughout the whole world.
Comparative host transcriptomics as a tool to identify candidate biomarkers for immune reactions in leprosy using meta-analysis
Authors: Mavlankar Anuj , Sharma Mukul , Ansari Afzal , Singh Pushpendra 
Published: July 2024

Background
Leprosy is no longer considered an imprecation, as an effective multidrug therapy regimen is available worldwide for its cure. However, its diverse clinical manifestations sometimes involve acute inflammatory reactions. These complications result in irreversible nerve damage, neuritis and anatomical deformities that emerge before, during the treatment or after the completion of treatment. Reversal reaction (Type-I) and erythema nodosum leprosum (Type-II) are the leprosy reactions generally seen in patients with lepromatous and borderline forms of leprosy. At present, there is no accurate diagnostic test available to detect these leprosy reactions.

Objectives
To identify potential biomarkers indicative of Type-I and Type-II leprosy reactions that could help in their early diagnosis.

Methods and Results
Host-transcriptomics investigations have been utilised in this study to decipher a correlation between host-gene expression-based biomarkers and exacerbation of leprosy reactions. We present a comparative analysis of publicly available host transcriptomics datasets (from Gene Expression Omnibus) related to leprosy reactions. Individual datasets were analysed and integration of results was carried out using meta-analysis. Common differentially expressed genes (DEGs) were identified using the frequentist and Bayesian ratio association test methods. We have identified several genes – ADAMTS5, ADAMTS9, IFITM2, IFITM3, KIRREL, ANK3, CD1E, CTSF, DOCK9 and KRT73 to name a few – which can serve as potential biomarkers for Type-II reaction. Similarly, ACP5, APOC1, CCL17, S100B, SLC11A1 among others may likely serve as biomarkers for Type-I reaction.

Limitations
The number of datasets related to leprosy reactions found after the systematic search is less (n = 4) and may limit the accuracy of identified biomarker genes. This could be resolved by including more studies in the data analysis.

Conclusion
We provide a comprehensive list of gene candidates which could be prioritised further in research focusing on immune reactions in leprosy, as they are likely important in understanding its complexities and could be useful in its early diagnosis.