bluuebunny/crossref_metadata_2025 huggingface dataset:
Anwendung des Process Data Twin/Application of Process Data Twin
Authors: Leinenbach Andreas , Wagner Marcel , Oettl Fabio , Schilp Johannes
Published: March 2024

Der digitale Zwilling wird als virtuelle Abbildung von bestehenden oder entstehenden Produktionsanlagen eingesetzt. Die Nutzung für tiefergreifende Anwendungen erfordert einen datengetriebenen Zwilling basierend auf dynamischen Daten. Hierfür wird der Process Data Twin (PDT) eingeführt und die dafür entwickelte Open-Source-Technologieumgebung beschrieben. Die Anwendung, seine Mehrwerte sowie weiterführende Entwicklungsschritte zeigen abschließend die vielfältigen Möglichkeiten des PDT.

 

The digital twin is used as a virtual representation of existing or emerging production facilities. The use for deeper applications requires a data-driven twin based on dynamic data. The Process Data Twin (PDT) is distinguished from the previous definitions of the digital twin and its application is presented. Finally, the added values show the manifold possibilities of the PDT and the further development steps.
Auswahlmethode für bedarfsgerechte Assistenzroboter/Method for selecting a needs-based assistance robot
Authors: Lottermoser Albrecht , Parpoulas Sophia , Zeller Stefan , Berger Julia
Published: March 2024

In diesem Beitrag wird eine Methode vorgestellt, wie basierend auf körperlichen Einschränkungen ein geeigneter Assistenzroboter ausgewählt werden kann. Hierzu werden zunächst die Körperfunktionen einer leistungsgewandelten Person mit den Anforderungen an einen Montageprozess verglichen und ermittelt, an welchen Stellen eine Unterstützung erforderlich ist. Für diese Schritte wird daraufhin ein passender Assistenzroboter und je nach Vorliebe der Person die entsprechende Interaktionsform bestimmt.
Demand Side Management bis zur Anlage/Demand side management right down to the plant
Authors: Lodwig Ragnar , Stetter Fabian
Published: March 2024

Der Beitrag gibt einen kurzen Überblick zur Einbindung von Maschinen in die Energieflexibilität von Unternehmen, also der Fähigkeit, sich schnell und prozesseffizient an den Energiemarkt anzupassen. Im Fokus steht der „Smart Konnektor“, wie er im Kopernikus-Projekt „SynErgie“ entwickelt und eingesetzt wird. Er stellt die direkte Verbindung zu den Anlagen her und setzt Steuersignale um. Darüber hinaus berechnet er erste Kennzahlen und bietet Möglichkeiten zur Erfolgskontrolle und Fehleranalyse.
Kollaborative Geschäftsmodelle im Maschinenbau/Collaborative business models in mechanical engineering – Methodology for conceptual design of collaborative industrial product service systems
Authors: Renz Alexander , Heidelbach Joachim , Schmitt Jan Lukas , Nebauer Stephan , Aydin Fatma , Galante Carina , Altmann Stephan
Published: March 2024

In der Maschinenbaubranche bieten Dienstleistungen eine wichtige Möglichkeit, sich vom Umfeld abzuheben und die eigene Leistungsfähigkeit zu steigern. Die stark produktorientierten Unternehmen der Branche stehen bei dieser Portfolioergänzung vor neuen Herausforderungen. Die Einbindung von Kollaborationspartnern bietet die Chance, diese Kompetenzlücke zu schließen. Auf Basis einer Mehrfachfallstudie wird eine Methodik entwickelt, um die entsprechenden kollaborativen Geschäftsmodelle zu erstellen.
A Secure Image Cryptographic Algorithm Based on Triple Incorporated Ciphering Stages
Authors: F. Yousif Sura , Salman Hameed Abbas , T. Al-Zuhairi Dheyaa
Published: March 2024

Lately, image encryption has stand out as a highly urgent demand to provide high security for digital images against use and unauthorized distribution. A lot of existing researches use chaotic systems, symmetric or asymmetric schemes for image encryption, but cryptosystem based on one encryption technique only, faces many challenges like weak security and low complexity. Therefore, incorporating two or more different ciphering methods yields a secure and efficient algorithm to protect image information. In this work, a new image cryptosystem is suggested by joining zigzag scan technique, RSA algorithm and chaotic systems. These three security factors introduce Triple Incorporated Ciphering stages system (TIC). Initially, the plaintext image is divided into $8\times 8$ non-overlapping blocks, then the odd blocks are isolated from the even blocks. After that, a new modified zigzag scan in two different directions is adopted for shuffling pixels in the odd and even blocks. This operation effectively enhances the shuffling degree. Next, the RSA algorithm is utilized after combining the scrambled blocks in one matrix. Finally, chaotic systems are implemented on the resultant encrypted matrix to complete the ciphering process. The chaos is implemented in two steps; confusion and diffusion. Duffing map is exploited in the confusion stage, whereas L"u system is adopted on the shuffled matrix in the diffusion stage. The simulation results show the superiority of TIC in both security and attacks robustness compared to other cryptographic algorithms. Therefore, TIC can be exploited in real-time communication systems for secure image transmission.
The Most Likely Flooded Soil in Terengganu State During Historically Greatest Rainfall Intensity
Authors: Sunny Goh Eng Giap  , Amirul Asyraf Zakaria  , Mohammad Fadhli Ahmad  , Muhammad Zamir Abdul Rasid  , Chee-Ming Chan  , Mohd Sofiyan Sulaiman  , Rudiyanto  , Khasifah Muhamad  , Ting Chee Ling  , Hanhan Maulana
Published: March 2024

Water infiltration in the soil is an essential topic for investigation because soil fully saturated with water forms standing water that leads to flooding on top of the soil. Soil investigation is vital for agricultural study due to the necessity to know soil carrying capacity in holding water, field capacity, and also the soil temperature for biological activities and chemical reactions. However, human urbanization and expansion into previously unexplored soil areas could lead to unnecessary environmental stress, such as floods. Floodwater forms when the rainfall intensity exceeds soil water infiltration. The flood event is crucial since it affects the human livelihood and facility damages. Therefore, a good understanding of soil hydraulic water infiltration helps better understanding the cause of flood occurrence. The current study examines the soil series in Terengganu state with its soil properties concerning the soil water characteristics curve, which indicates the soil's ability to absorb and allow water movement in the ground. The equation used was the improved Richards’ equation that can be applied to examine the standing water or floodwater impacts on water infiltration. Also, the unsaturated soil moisture movement conditions can be investigated. The simulation equation verifies with benchmark datasets that was solved on Richards’ equation using a different numerical method. The twelve-soil series of Terengganu state subjected to water infiltration study subjected to flooded conditions, by exposing the soil to the highest rainfall identified in the history of Kuala Terengganu from 1985 to early 2023. The results reveal Jambu, Rhu Tapai and Rudua soil series' water infiltration rate was greater than the rainfall intensity, whereas other soil series could not accommodate the rainfall intensity. Thus, other soil series areas will likely encounter flooded conditions when exposed to heavy rainfall, as has occurred in history.
Development of Second Order High Frequency Filter for Partial Discharge Measurement
Authors: Syed Akhmal Syed Jamalil  , Zalikha Shamsul  , Muzamir Isa  , Ahmad Zaidi Abdullah  , Ayob Nazmi Nanyan
Published: March 2024

Partial discharge (PD) can occur on any high-voltage equipment. This study is particularly concerned with the PD that occurs on underground cables. Researchers frequently struggle to isolate interference noise from the PD signal when doing PD measurements. Therefore, to reduce the interference noise during PD measurements, Sallen-Key high-pass filters with a 500 kHz, or a little bit higher cut-off frequency are designed. This filter is designed with a designated cut-off frequency value because the frequency range of the PD signal is between 1 MHz to 1 GHz. Based on the results of experimental testing for actual filters, the designed filter is a high-pass filter with a cut-off frequency of 500KHz. When the generator function's input frequency values are set between 500 kHz and 2.4 MHz, the signal will pass the filter and provide output values for both frequencies and amplitude. However, at frequencies lower than 500 kHz, the signal is beginning to be filtered and the output signal's amplitude is getting close to zero. Based on the PD testing results, there is interference on the PD signal shown on the oscilloscope when a 1kV supply is applied to an underground cable without using a filter. But, when the proposed filter is used in PD testing, the ripple voltage is reduced from 123 mV to 67 mV. This proves that when the designed filter is used in PD testing, it can reduce interference noise on the PD signal.
Study on Wave Overtopping Discharge Affected by Guiding Wall Angle of Wave Dragon Device Using FLOW-3D Software
Authors: Mohammad Fadhli Ahmad  , Mohd Azlan Musa  , Muhammad Faris Roslan  , Sunny Goh Eng Giap  , Effi Helmy Ariffin  , Yasser Waleed Sayed Ahmed Eissa  , Mohd Huzmin Mohamed Salleh  , Fatin Alias
Published: March 2024

The Wave Energy Converters (WECs) have become the main attraction in producing electricity by converting the wave's energy to electricity. The focus of the WECs is the overtopping of the wave. The higher of overtopping water collected in the basin, the higher the power produced. Producing the higher overtopping also requires higher wave flow rate entry. In the Wave Dragon system, the rate of wave flow entering the reservoir is influenced by the guiding wall (reflector) angles and wave height. Hence, most overtopping concepts have tried to increase the water addition into the pool studying their geometrical parameter, mainly on the guiding wall of Wave Dragon. The unknown effect of the guiding wall angles on the overtopping and effect of the wave characteristic remained. Thus, this study aims to investigate the appropriate guiding wall angle on the influence of different wave heights affecting the performance of the Wave Dragon unit. Then, using FLOW 3D software to apply different guiding wall angles and wave characteristics to the device parameters for investigation. The numerical result highlights that the higher overtopping discharge is obtained during the upper limit of wave height and guiding wall angle. Besides, percentage different between the simulations model and experimental observation, was found at 15%. The result of this study will be beneficial to the industry related to wave potential energy, especially Wave Dragon, and it will also help them improve their device performance.
Advancement of Underwater Surveying and Scanning Techniques: A Review
Authors: Wan Hafiza  , Mahfuzah Md Shukor  , Faezah Jasman  , Zaiton Abdul Mutalip  , Mohd Shafizal Abdullah  , Sevia Mahdaliza Idrus
Published: March 2024

Underwater scanning and surveying (USS) play a significant role in tactical surveillance, offshore explorations, climate change monitoring, and oceanography research. USS are required to accurately obtain the 3-D geometry information of an underwater object and determine the underwater area of interest respectively. This paper reviews the state-of-the-art USS by discussing the operations, characters, advantages and disadvantages of the sensors used in each of the techniques. The paper classifies the sensors based on the carrier signals which are acoustics and optical signals. The hybrid technique is then proposed by integrating acoustics and optical approaches for the scanning technology and utilizing artificial intelligence and OWC technologies to improve the system’s accuracy and latency. The structured review of these techniques will give insight into the future advancement of USS and improve its quality of service.
Gen Z dan Perilaku Konsumsi Konten Influencer pada TikTok
Authors: Husna Arina Himatul , Mairita Desy
Published: March 2024

Pemasaran digital terus berkembang sejalan dengan penggunaan internet yang semakin masif di tengah masyarakat. Terlebih, media sosial telah membantu mengubah landskap pemasaran terbarukan. Pemasaran melalui influencer dianggap menjadi teknik pemasaran yang cukup efektif. Pengguna muda yang berusia 13-27 tahun atau dikenal dengan Gen Z, banyak melibatkan influencer dalam aktivitas digitalnya. Penelitian ini mengulas bagaimana keputusan gen Z setelah mengakses konten Influencer yang menyebut merek tertentu. Bagaimana pengguna ini mengambil keputusan pembelian melalui komunikasi persuasi yang diciptakan melalui konten tersebut. Penelitian ini menggunakan pendekatan fenomenologi yang dianalisa dengan konsep Elaboration Likelihood Model (ELM). Hasil penelitian menunjukkan bahwa terdapat dikotomi perilaku gen Z dalam mengonsumsi konten influencer. Pada rute sentral, pengguna gen Z memilih mencari beragam sumber eksternal terkait produk atau layanan selain TikTok. Kemudian pemahaman pesan produk menekankan pemahaman fitur, kelebihan dan kekurangan produk sebelum memutuskan pada perilaku tertentu. Sedangkan pada rute periferal, pengguna Z lebih menyukai konten menarik secara visual dan estetik untuk mengonsumsi konten influencer. Produk yang komunikasikan diadopsi jika dianggap sedang popular atau sesuai dengan manfaat sesaat yang ditawarkan.
Strategi Komunikasi Pemasaran Kelompok Tani Rubaru dalam Meningkatkan Penjualan Bawang Merah sebagai Komoditi Unggulan Kabupaten Sumenep
Authors: Kurli Anis , Haris Rillia Aisyah , Syafriyani Ida , Sari Raudhah Pattria , Putri Purnama Violita , Riady Rahman
Published: March 2024

Sumenep sebagai salah satu kabupaten paling timur di Pulau Madura memiliki potensi agropolitan paling menjanjikan. Sektor pertanian masuk mata pencaharian paling utama baik di daratan maupun di beberapa kepualuan. Berdasarkan data statistik Badan Pusat Statistik (BPS) Kabupaten Sumenep tahun 2021 kontributor terbesar produk Regional Domestik Bruto (PDRB) yaitu 39,41% sebagai penghasil agropolitan terbesar dibanding sektor lainnya. Agropolitan Kabupaten Sumenep mencapai 207.010 hektar dengan jumlah produksi 828.814 ton. Adapun tujuan dari penelitian ini adalah Bagaimana Strategi Komunikasi Pemasaran Kelompok Tani Rubaru dalam meningkatkan Penjualan Bawang Merah sebagai Komoditi Unggulan Kabupaten Sumenep. Metode yang digunakan dalam penelitian ini menggunakan deskriptif kualitatif dengan Teknik pengumpulan data wawancara mendalam dan observasi. Hasil penelitian menunjukkan strategi komunikasi pemasaran yang dilakukan Kelompok Tani Rubaru dalam meningkatkan penjualan Bawang Merah dengan pengembangan sarana dan prasarana kegiatan produksi, pengembangan olahan produk keberbagai varian, pengembangan sarana prasana dalam kegiatan pemasaran melalui media sosial.
Local Wisdom, Local Culture, and Global Market Post-Pandemic Covid-19: Rebranding the City of Tuban, Indonesia
Authors: Isnaini Santi , Septiani Dina , Wibawa Satrya , Rahmalia Aqila Nur
Published: March 2024

This study aims to describe the implementation of local wisdom in the imaging strategy of Tuban, East Java, after the Covid-19 pandemic. It is crucial to explore the understanding of implementing local wisdom in the imaging strategy of Tuban, East Java, after the COVID-19 pandemic. In this study, the theories used include the theory of city branding, city imaging strategies, and local wisdom. These three theories become the basis for understanding and explaining the implementation of local wisdom in the imaging strategy of the city of Tuban, East Java. The results showed that Tuban Regency carried out various city imaging efforts. Implementing local wisdom in urban imaging strategies includes history, processes, stakeholders, city branding elements, and events. The research model on the implementation of local wisdom in the imaging strategy of Tuban City is closely related to history, which includes branding initiatives in the city vision, tradition and culture, city regulations, and city vision.
Patriotic Internationalists and Free Immigration: The British Labour Party’s Internationalism in Debates on Immigration Restriction, 1918–1931
Authors: Park Eunjae
Published: March 2024

As highlighted in the recent controversies over European immigrants and the refugee ‘crisis’ that culminated in Brexit, Labour’s struggle in balancing its internationalist principles with policy administration has been a constant theme in the party’s immigration and refugee policy. This article situates the Labour Party’s discussion on the 1919 Aliens Act in the context of post-war internationalism, and contends that the change in focus from pre-war advocacy of the British liberal tradition to internationalist concerns reflected both the socialist proclamation of the Labour Party and the liberal internationalism of the time. The 1919 Aliens Act was deemed an example of selfish nationalism likely to undermine international peace and workers’ solidarity. At the same time, however, Labour also sought to shake off the suspicion that advocacy of free immigration could pose – that the party prioritized foreigners over Britons – by reconciling internationalism with patriotism. Insisting that true internationalism be built upon love of one’s home country, Labour politicians did not give up their patriotic and national claims, and accepted that a state could restrict the inflow of foreigners in times of national difficulty.
In Defence of Steel: The Expulsion of Alfred Edwards MP and His Campaign against Steel Nationalization, 1948–1951
Authors: Massey Christopher
Published: March 2024

Alfred Edwards, MP for Middlesbrough East from 1935 to 1950, has been subject to only cursory academic attention during the lifetime of the 1945–51 Labour governments. Consequently, this article provides the first detailed study of Edwards’s parliamentary career. It is argued that Edwards was a significant national figure due to both his expulsion from the Labour Party in 1948 and the campaign he subsequently waged against Labour’s policy of steel nationalization in 1949. This article further argues that steel nationalization was the most controversial measure enacted from Labour’s 1945 manifesto, as it was neither a failing industry nor a public utility. As such, steel nationalization sparked huge internal debates about Labour’s future direction and, in Parliament, provoked the largest anti-government vote of Clement Attlee’s 1945–50 administration. In these years, Edwards played a substantial role in harnessing forces against steel nationalization, culminating in his campaign of 1949. Through an investigation of Edwards’s parliamentary conduct, expulsion from the Labour Party, and Steel Defence Campaign, this article concludes that, even if speaking on only one issue and for a short period of time, Edwards was a headline-generating figure whose absence from the historiography of these years is worthy of reassessment.
2023
Labour History Review
Essay Prize Winner
Authors: Crespo Manuel Herrera
Published: March 2024

The relatively new bundle of scholarship gathered under the notion of a ‘global 1989’ has produced an innovative field of research that highlights the necessity of a global approach towards the implosion of state socialism in Central and Eastern Europe. Yet this literature has neglected the broad range of international and transnational organizations which had an indispensable role during, but also after, the Cold War. Therefore this article attempts to approach the ‘global 1989’ from the vantage point of the International Confederation of Free Trade Unions (ICFTU). The analysis of this large trade union confederation sheds new light on post-Cold War labour internationalism, which has often been overshadowed by the developments leading up to the establishment of the ITUC in 2006. Furthermore, the article uncovers how the end of state socialism and its global reverberations engendered new fissures, debates, and tensions within the organization. While there might have been a ‘rush to the East’ during the immediate aftermath of the Cold War, globalization – which within the trade union landscape was accelerated by the global 1989 – became a far more pressing challenge during the 1990s.
New faunistic data on Diptera (Hexapoda, Insecta) from the Ziarat Juniperus forest ecosystem (Pakistan)
Authors: Khan Qaiser , Kakar Asmathullah , Kamran Kashif
Published: March 2024

This study presents the first faunistic record and DNA barcoding for some Diptera species recorded from the Juniperus forest ecosystem of Balochistan, Pakistan. DNA barcoding was used to explore species diversity of Dipterans and collections carried out using a Malaise trap between December 2018 to December 2019. This process involved sequencing the 658 bp Cytochrome Oxidase I (COI) gene.

Amongst the collected Diptera specimens, nine families were identified, representing 13 genera. These species include Atherigona soccata (Rondani, 1871), Atherigona varia (Schiner, 1868), Chironomus dorsalis (Meigen, 1818), Eupeodes corollae (Linnaeus, 1758), Eristalis tenax (Linnaeus,1758), Gonia ornata (Meigen, 1826), Lucilia sericata (Meigen, 1826), Paragus quadrifasciatus (Linnaeus, 1758), Pollenia rudis (Fabricius, 1794), Ravinia pernix (Thompson, 1869), Sarcophaga dux (Thompson, 1869), Trupanea amoena (Schiner, 1868) and Wohlfahrtia bella (Linnaeus, 1758). The families Syrphidae and Sarcophagidae exhibited the highest representation, each comprising three genera and three species. They were followed by the family Muscidae, which had a single genus and two species. Anthomyiidae, Chironomidae, Calliphoridae, Polleniidae, Tachinidae and Tephritidae were represented by only one genus and one species. A nique Barcode Index Number (BIN) was allotted to Tachinidae (specie i.e Gonia ornata). The results indicated that barcoding through cytochrome oxidase I is an effective approach for the accurate identification and genetic studies of Diptera species. This discovery highlights the significant diversity of this insect order in study region. Furthermore, a comprehensive list of other Diptera species remains elusive because of difficulties in distinguishing them, based on morphology and a lack of professional entomological knowledge.
Application of extended depth of field 3D imagery to tackle the challenges of cryptic species: a use case in the genus Betiscoides Sjöstedt, 1924 (Orthoptera, Caelifera, Lentulidae) and its taxonomic implications
Authors: Matenaar Daniela
Published: March 2024

Discovering and handling cryptic diversity among species challenges taxonomists around the world. This is particularly true for the most diverse animal class – the insects – with cryptic diversity, apart from vast species numbers, being one of the main factors that hamper the description of new species. The biodiversity hotspot Cape Floristic Region of South Africa harbors many endemic and yet undescribed insect species, inter alia, Orthoptera. In this study, extended depth of field and 3D imagery enabled for a novel assessment of the external morphological characteristics used for defining and describing the genetically highly diverse genus Betiscoides Sjösdtedt, 1924, leading to a new definition of the genus’ characteristics as well as a revision of character traits of the known species. Two new species are described and a key to all five recognized Betiscoides species is provided. Application standards are derived to enable replicable and reliable image acquisition and measuring. These findings shall contribute to promote efforts being made to establish image based taxonomic identification for researchers worldwide. High-resolution images provide the basis to train deep learning algorithms/ tools, to detect the smallest differences in highly morphologically alike species, and to implement this knowledge in global species monitoring and conservation action to prevent further species loss.
At home in Jiangsu: Environmental niche modeling and new records for five species of amphibian and reptile in Jiangsu, China
Authors: Kohler Dallin B. , Zhang Xiaoli , Messenger Kevin R. , Chin Yu An Kenneth , Ghosh Deyatima , Othman Siti N. , Wang Zhenqi , Amin Hina , Prasad Vishal Kumar , Wu Zhichao , Borzée Amaël
Published: March 2024

Environmental niche models are useful tools for generating hypotheses for the distribution of species and informing conservation planning, especially at the edge of species’ ranges and for those with limited data. Here we report on the recent documentation of four species of amphibian (Hylarana latouchii, Odorrana tianmuii, Polypedates braueri, and Zhangixalus dennysi) and one reptile (Protobothrops mucrosquamatus) with few or no previous geolocated records from Jiangsu, China. We combined our opportunistic field sampling data from Jiangsu, which is at the edge of each of these species’ ranges, with publicly available occurrence records and climatic data to generate environmental niche models for these five species using Maxent. All models showed good model performance with AUC values ranging from 0.899 to 0.983. Additional potentially suitable areas within southern Jiangsu were predicted for the four amphibian species, although the significant anthropogenic habitat modifications in the province may limit their contemporary distributions. For all five species, the climatic variable that contributed most to the model was the precipitation of the driest month (Bio 14), indicating they are limited by moisture availability. Our study adds new information about the climatic preferences of these five species and highlights the value of complementing environmental niche modeling with field surveys for robust inferences and conservation planning, particularly at the edge of species’ ranges.
Pharmacists’ burnout and motivation for pharmaceutical care in chronically ill patients – a pilot study for the north-eastern region of Bulgaria
Authors: Todorova Anna , Ivanova Mariya , Petkova Valentina
Published: March 2024

Medical professionals are the most susceptible to professional burnout. An anonymous survey of master pharmacists was conducted to assess burnout with the MBI-HSS-MP tool and analyse the challenges of working in community pharmacies.

Burnout affected 53% of the 127 pharmacists surveyed. Factors influencing the scales forming burnout emotional exhaustion (EE) depersonalisation (DP), and personal accomplishment (PA) were: administrative difficulties in servicing the prescriptions of chronically ill patients: affected 57% of respondents and influenced EE (p = 0.036); lack of precise instructions at work (38% of respondents, influenced DP, p = 0.007) and (EE, p = 0.000); lack of prior information about innovations 38% (EE p = 0.002). Lack of time to carry out pharmaceutical care (PhC) influenced EE (p = 0.019) and DP (p = 0.006) and DP was associated with lower empathy for patients, Lack of perceived professional satisfaction (PA; p = 0.042) was increased.

The increased administrative duties shifted the focus away from PhC and decreased pharmacists’ motivation.
A new species of terrestrial toad of the Rhinella festae group (Anura, Bufonidae) from the highlands of the Central Cordillera of the Andes of Colombia
Authors: Caicedo-Martínez Luis Santiago , Henao-Osorio Jose J. , Arias-Monsalve Héctor Fabio , Rojas-Morales Julián Andrés , Ossa-López Paula A. , Rivera-Páez Fredy A. , Ramírez-Chaves Héctor E.
Published: March 2024

The genus Rhinella (Bufonidae) comprises 92 species of Neotropical toads. In Colombia, Rhinella is represented by 22 recognized species, of which nine belong to the Rhinella festae group. Over the past decade, there has been increasing evidence of cryptic diversity within this group, particularly in the context of Andean forms. Specimens of Rhinella collected in high Andean forests on both slopes of the Central Cordillera in Colombia belong to an undescribed species, Rhinella kumandaysp. nov. Genetic analyses using the mitochondrial 16S rRNA gene indicated that the individuals belong to the festae species group. However, they can be distinguished from other closely related species such as Rhinella paraguas and Rhinella tenrec by a combination of morphological traits including the presence of tarsal fold, a moderate body size, and substantial genetic divergence in the 16S rRNA gene (> 5%). Through this integrative approach, the specimens from the Central Cordillera of Colombia are considered an evolutionary divergent lineage that is sister to R. paraguas, and described as a new species. Rhinella kumandaysp. nov. is restricted to the Central Cordillera of Colombia inhabiting both slopes in the departments of Caldas and Tolima, in an elevational range between 2420 and 3758 m. With the recognition of this new species, the genus Rhinella now comprises 93 species with 23 of them found in Colombia, and ten species endemic to the country.
Existence of infinitely many solutions for critical sub-elliptic systems via genus theory
Authors: Jiao Hongying , Zhu Shuhai , Zhang Jinguo
Published: March 2024

We are devoted to the study of the following sub-Laplacian system with Hardy-type potentials and critical nonlinearities

   \begin{document}$ \begin{equation*} \left\{\begin{aligned} -\Delta_{\mathbb{G}}u-\mu_{1}\frac{\psi^{2}u}{\text{d}(z)^{2}} = \lambda_{1}\frac{\psi^{\alpha}|u|^{2^*(\alpha)-2}u}{\text{d}(z)^{\alpha}}+\beta p_{1}f(z)\frac{\psi^{\gamma}|u|^{p_{1}-2}u|v|^{p_{2}}}{\text{d}(z)^{\gamma}}\,\,\, \text{in } \mathbb{G},\\ -\Delta_{\mathbb{G}}v-\mu_{2}\frac{\psi^{2}v}{\text{d}(z)^{2}} = \lambda_{2}\frac{\psi^{\alpha}|v|^{2^*(\alpha)-2}v}{\text{d}(z)^{\alpha}}+\beta p_{2}f(z)\frac{\psi^{\gamma}|u|^{p_{1}}|v|^{p_{2}-2}v}{\text{d}(z)^{\gamma}}\,\,\, \text{in } \mathbb{G}, \end{aligned}\right. \end{equation*} $\end{document}

where $ -\Delta_{\mathbb{G}} $ is the sub-Laplacian on Carnot group $ \mathbb{G} $, $ \mu_{1} $, $ \mu_{2}\in [0, \mu_{\mathbb{G}}) $, $ \alpha, \, \gamma\in (0, 2) $, $ \lambda_{1} $, $ \lambda_{2} $, $ \beta $, $ p_{1} $, $ p_{2} > 0 $ with $ 1 < p_{1}+p_{2} < 2 $, $ \text{d}(z) $ is the $ \Delta_{\mathbb{G}} $-gauge, $ \psi = |\nabla_{\mathbb{G}}\text{d}(z)| $, $ 2^*(\alpha): = \frac{2(Q-\alpha)}{Q-2} $ is the critical Sobolev-Hardy exponents, and $ \mu_{\mathbb{G}} = (\frac{Q-2}{2})^{2} $ is the best Hardy constant on $ \mathbb{G} $. By combining a variant of the symmetric mountain pass theorem with the genus theory, we prove the existence of infinitely many weak solutions whose energy tends to zero when $ \beta $ or $ \lambda_{1} $, $ \lambda_{2} $ belong to a suitable range.
A hybrid IDM using wavelet transform for a synchronous generator-based RES with zero non-detection zone
Authors: Mishra Mamun , Pati Bibhuti Bhusan
Published: March 2024

Increased use of renewable energy sources in distribution grids has led to the growing concern over unintentional islanding. Among the available islanding detection methods, the passive methods have larger non-detection zones and are susceptible to system faults. However, they have no effect on power quality like active methods. We present a hybrid method for the islanding detection of synchronous generator-based renewable energy sources. Here, the larger non-detection zone issue of the passive islanding detection method was reduced by combining it with a wavelet transform. The rate of change of a voltage unbalanced factor was computed from the sequence components of the renewable energy source terminal voltage. Then, the factor was analyzed using a wavelet transform, and a threshold for the factor was found. The robustness of the method was tested for several islanding as well as non-islanding situations. The efficacy of the method was also tested in multi-source test systems. From the analysis, it was observed that the proposed method was fast, reliable, and had a zero non-detection zone.
Weighted spectral geometric means and matrix equations of positive definite matrices involving semi-tensor products
Authors: Ploymukda Arnon , Tansri Kanjanaporn , Chansangiam Pattrawut
Published: March 2024

We characterized weighted spectral geometric means (SGM) of positive definite matrices in terms of certain matrix equations involving metric geometric means (MGM) $ \sharp $ and semi-tensor products $ \ltimes $. Indeed, for each real number $ t $ and two positive definite matrices $ A $ and $ B $ of arbitrary sizes, the $ t $-weighted SGM $ A \, \diamondsuit_t \, B $ of $ A $ and $ B $ is a unique positive solution $ X $ of the equation

   \begin{document}$ A^{-1}\,\sharp\, X \; = \; (A^{-1}\,\sharp\, B)^t. $\end{document}

We then established fundamental properties of the weighted SGMs based on MGMs. In addition, $ (A \, \diamondsuit_{1/2} \, B)^2 $ is positively similar to $ A \ltimes B $ and, thus, they have the same spectrum. Furthermore, we showed that certain equations concerning weighted SGMs and MGMs of positive definite matrices have a unique solution in terms of weighted SGMs. Our results included the classical weighted SGMs of matrices as a special case.
Sonic Branding in the Telecom Sector
Authors: Saqib Natasha , Dhull Hardik , Agrawal Sanskriti
Published: March 2024

The purpose of this study is to explore the strategic utilization of sound and music in brand communication, known as sonic branding, with a particular emphasis on the telecom sector. This research aims to investigate the profound impact of Airtel's jingle on the development of brand identity and its influence on consumer engagement within the telecom industry. This research employs an exploratory case study approach. The jingle was found to evoke both emotional and cognitive associations with the brand, contributing significantly to consumer engagement. The findings emphasize the critical role of sonic branding in the telecom sector and its potential to create a distinctive sonic identity. This study contributes to the growing body of knowledge on the significance of sonic branding in contemporary marketing. It adds value by specifically examining the telecom sector and Airtel's jingle as a case study, offering insights that can be valuable to both academics and practitioners in the field.
Harmonizing Brand Experience
Authors: Abdelrazek Mohamed Adel , Tourky Marwa , Harvey William S.
Published: March 2024

This chapter analyses the pivotal role of sound in shaping the customer journey and elevating brand experiences. We explain the profound influence of auditory elements, in particular sound, music, silence, or noise, on consumer perception and behavior. By demystifying sonic branding and its implications for brand experiences, we highlight the often-overlooked potency of sound in creating memorable customer experiences. Finally, we draw on a real-world case study of Intel to illustrate sound strategies that have been successful for businesses.
Parkinson's Disease
Authors: de Paula Brandão Pedro Renato
Published: March 2024

This chapter offers a comprehensive review of Parkinson's disease (PD), spanning from epidemiology to advanced treatment options. It delves into the neuropathology and the evolution of etiological theories, elucidating the genetic mechanisms and clinical subtypes of PD. The text outlines criteria for clinical diagnosis, including essential markers and exclusion factors, while introducing innovative diagnostic frameworks. The chapter is also an integrated guide discussing future research avenues for optimizing patient treatment and outcomes.
Sleep Disorders and Neurodegeneration
Authors: de Almondes Katie Moraes , Paiva Teresa
Published: March 2024

Dementia affects millions of people around the world each year. At this moment, 55.2 million people are living with dementia in the world, with an estimated social cost of US$1.3 trillion. Dementia associated with Alzheimer's disease and other forms of dementia was ranked as the 7th leading cause of death. One of the risk factors for developing neurodegenerative disorders is sleep disorders. Scientific evidence shows that sleep impairment accelerates cognitive decline by up to three years. Taken together, a better understanding of age-related changes in sleep architecture, their potential impact on cognition, and their underlying mechanisms are essential to developing an efficient treatment of sleep disorders in older people, serving as a promising target for dementia prevention. This chapter will discuss sleep changes and sleep disorders that are predictors of cognitive decline in aging, explaining the pathophysiological mechanisms, and pointing out the gaps that still need to be answered in this area through future research perspectives.
Implementation of Virtual High Speed Data Transfer in Satellite Communication Systems Using PLC and Cloud Computing
Authors: Kaliappan Seeniappan , Ragunthar T. , Ali Mohammed , Murugeshwari B.
Published: March 2024

This research article presents a novel approach for achieving high-speed data transfer in satellite communication systems using power line communication (PLC) and cloud computing. The use of satellite communication systems is growing in various fields, such as remote sensing and telecommunications, which requires high-speed data transfer to support the increasing demand for data transmission. The proposed approach utilizes PLC technology to transfer data over power lines, which provides a high-speed, reliable, and cost-effective alternative to traditional wireless data transfer methods. Additionally, cloud computing is used to manage and process the large amount of data transmitted by the satellite communication system. The results of the research show that the proposed approach is able to effectively transfer data at high speeds and with low latency, making it suitable for use in satellite communication systems.
Exploratory Data Analysis and Energy Predictions With Advanced AI and ML Techniques
Authors: Santhoshkumar T. , Vanila S.
Published: March 2024

Solar and wind energy forecasting is vital for efficient energy management and sustainable power grid operations. This chapter explores machine learning (ML) algorithms for solar and wind energy forecasting using a dataset comprising power generation data and relevant environmental parameters. The Random Forest model demonstrates robust accuracy, signifying its potential for precise wind power prediction. The SVR model also performs well, affirming its aptitude for accurate wind power prediction. However, the XGBoost model stands out, achieving the lowest MAE, minimal RMSE, and exceptionally high R-squared values. These findings showcase the effectiveness of ML algorithms in harnessing data-driven insights for precise solar and wind energy forecasting, contributing to a sustainable and reliable energy future.
Optimizing Power Usage in Wearable and Edible Devices for Railroad Operations Study on Renewable Power Integration and Storage
Authors: Angalaeswari S. , Seeniappan Kaliappan
Published: March 2024

This study introduces an innovative approach to optimizing power usage in wearable and edible devices designed for railroad operations, focusing on the integration and storage of renewable power sources. The primary objective of this research is to minimize the total fuel costs associated with an electrified rail network, which includes various sources of power generation and storage. Specifically, this includes the costs of electricity production from the common power framework, the cost of power acquired from renewable energy resources (RERs) like offshore wind and solar PV power generation, and the expenses associated with obtaining strength from microgrids, such as battery banks and ultracapacitors. Additionally, the revenue generated from selling excess energy back to the electricity network is considered. The problem is formulated as an electric enhanced power channel flow with linear constraints. Probability density functions (PDFs) are utilized to model the variability associated with renewable and PV generation.
Characterisation, Evolution, and Economic Development of Portuguese Business Over the Last Decade in the European Union Reality
Authors: Oliveira Francisco Loureiro , Pereira Elisabeth T.
Published: March 2024

In the last decade, Portugal was marked by a series of events that had a strong impact and marked the national economy. Started by a financial crisis in the banking sector that forced the government to request an intervention from the International Monetary Fund (IMF), passing through the world pandemic crisis of COVID-19, still with visible consequences in the companies, and culminating with the war in Europe that has marked and pressured the economy, the main focus of this chapter is to give a vision of entrepreneurship in Portugal, through a collection and statistical analysis of data, allowing the establishment of interconnection and relationship with the data of the European Union (EU), providing the evolution and consequent economic effects in the entrepreneurship in Portugal over the last decade, and exposing sectors and types of business that have had and have a special impact at the national level, like in the tourism, hospitality, catering, culture and, the terrestrial traffic itself, amongst several other businesses.
Leading and Learning in Inhospitable Terrain
Authors: Sabeena G. , Jain Sunitha Abhay
Published: March 2024

This chapter explores the obstacles that minority women in K–12 education leadership must overcome, emphasizing the critical importance of acknowledging barriers and prejudices. Notwithstanding its underrepresentation, their leadership demonstrates a steadfast dedication to diversity and offers distinctive viewpoints. Mentorship programs, educational institutions, and policymakers all play a crucial role in promoting diversity via inclusive practices and supportive policies. The recommendations include fostering an environment of inclusiveness, providing training on diversity, implementing precise career trajectories, and acknowledging and commemorating the accomplishments of a wide range of individuals. Collaborative endeavours and inclusive approaches aim to establish educational leadership that is fair, diverse, and student-focused. Addressing inequalities is critical to establishing inclusive and resilient educational environments where mental health should be regarded as a fundamental right, highlighting the convergence of mental health and human rights.
Leadership Coaching and Mentorship
Authors: Arzu Ethel Mae
Published: March 2024

Not all Black women in K-12 educational leadership have the same opportunities and experiences. Importantly, context matters. Black women's ethnic values and racialized experiences can impact how they view themselves as leaders, how they socialize and adapt to their roles, and how they process their experiences. Nonetheless, thoughtful coaching and mentorship can help them feel satisfied, fulfilled, and accomplished in both their professional and personal lives. This chapter focuses on the significance of coaching and mentorship as avenues of support for a Black Garifuna woman in K-12 educational leadership at a West Texas University. Deliberate coaching and mentorship matter. They facilitate socialization, psychological adjustment, and learning, and they also prepare her for the execution of new roles and responsibilities. Notably, self-will and determination are also important for leadership development. These two traits allow the Black Garifuna woman to experience autonomy and a sense of ownership over her work.
Perceptions and Assumptions About Women From Backward and Minority Class in Indian Educational Leadership Positions
Authors: Chakraborty Oindrila
Published: March 2024

This chapter discusses the K-12 equivalent education system in India- which is known as 10+2 education system, its uniqueness, advantages and limitations, as well as the assumptions and perceptions and other associated factors like trends, issues, and challenges surrounding the women from backward communities serving in senior positions of the education system. This chapter also highlights the probable solutions against the prejudices. The study examines the situation through literature review along a survey of the women from the backward communities and outside the communities to get a more holistic view of the situation.
Overcoming Challenges
Authors: Walters Annette G.
Published: March 2024

Education leaders are tasked with the responsibility of guiding and shaping the future of their communities through effective leadership. They must effectively navigate and conquer obstacles in order to succeed. Allies and advocates can provide a support system by offering encouragement, guidance, and mentorship, including valuable insights, resources, and assistance in overcoming challenges and finding innovative solutions. By building a network of supporters, minority female education leaders can tap into a wealth of knowledge and expertise that can help them navigate the complexities of their roles. They can harness the support of their allies to amplify their impact and drive meaningful change within their communities. This brief analysis extrapolates historical and current research on education leadership challenges as experienced by minority female leaders. This work is separated into three sections: overcoming challenges, allies and advocates, and resilience and strength.
Factor Analysis of the Intercultural Sensitivity, Ethnocentrism, Social Media by the Means of Structural Equation Modelling
Authors: Sobczak-Michalowska Marzena , Aykil Laçin , Yildirim Osman , Ilyash Olha
Published: March 2024

The purpose of this research is to investigate the interaction between intercultural sensitivity, ethnocentrism, and social media use by using structural equality modeling method. To this end, the survey was designed by using intercultural sensitivity, ethnocentrism, and social media data scales available in the literature. The expressions in the survey were translated and re-translated by two foreign language teachers. Then, the two translations obtained were applied to a test group of 20 people, and the most accurate translation was used to collect data by easy sampling method. Data were calculated for verifier factor analysis through SPSS for Windows 22.00 and Amos 22.0 and Cronbach's Alpha. Average variety extracted (AVE) and composite reliability (CR) values were also calculated. In addition, the effects mediated by structural equality modeling were also analyzed in the Amos program using the bootstrap method.
Tools to Create Synthetic Data for Brain Images
Authors: Sindhu S. , Vijayalakshmi N.
Published: March 2024

In the areas of neuroscience, medical imaging, and machine learning, the creation of synthetic data for brain scans has become a key approach. This chapter explores the concept and significance of synthetic data generation for brain images. In tasks like brain picture segmentation, disease detection, and image analysis, machine learning models perform better when using synthetic data as a catalyst for data augmentation. A wide range of methods and resources including MRI simulators, 3D modeling software, deep learning frameworks, and medical imaging software are used to create synthetic brain images. To guarantee the validity and applicability of synthetic data, however, ethical issues, data representativeness, and transparency in the generation process continue to be essential factors. Synthetic brain data are becoming more useful and realistic as technology develops, and this has the potential to completely change the fields of neuroscience and medical imaging.