bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH PERSEPSI AUTENTIK, KESADARAN MEREK, CITRA MEREK, KUALITAS YANG DIRASAKAN DAN LOYALITAS TERHADAP NIAT PILIHAN PADA RUMAH MAKAN JEPANG MARUGAME UDON
Authors: Annisa Intan Tri
Published: November 2023

Penelitian ini bertujuan untuk mengetahui pengaruh persepsi autentik, kesadaran merek, citra merek, kualitas yang dirasakan dan loyalitas terhadap niat pilihan serta tinjauannya dalam sudut pandang Islam. Sampel yang digunakan dalam penelitian ini adalah konsumen yang pernah melakukan pembelian ke restoran Marugame Udon dan Tempura di DKI Jakarta dengan jumlah sampel sebanyak 165 orang. Teknik pengambilan sampel yang digunakan adalah purposive sampling. Data dikumpulkan menggunakan metode survey dengan instrument kuesioner. Metode analisis data yang digunakan yaitu Partial Least Square Structural Equation Modeling (PLS-SEM). Hasil penelitian menunjukkan bahwa: (1) persepsi autentik berpengaruh positif dan signifikan terhadap kesadaran merek (2) persepsi autentik berpengaruh positif dan signifikan terhadap citra merek (3) persepsi autentik berpengaruh positif dan signfikan terhadap kualitas yang dirasakan (4) kesadaran merek berpengaruh positif dan signifikan terhadap loyalitas merek (5) citra merek berpengaruh positif dan signifikan terhadap loyalitas merek (6) kualitas yang dirasakan berpengaruh positif dan signifikan terhadap loyalitas merek (7) loyalitas merek berpengaruh positif dan signifikan terhadap niat pilihan merek.
PENGARUH KREDIBILITAS MEREK DAN CITRA MEREK TERHADAP EKUITAS MEREK PRODUK “SAVER” PT CEMAKO LESTARI INDONESIA
Authors: Putra Caezar Arbianto Pradana
Published: November 2023

Abstrak: Kredibilitas merek digunakan oleh pemasar untuk menyampaikan pesan dari suatu merek. Saver sebagai merek minyak pelumas dan bahan kimia menggunakan nama mereka sebagai nilai untuk meningkatkan citra dan ekuitas merek mereka. Penggunaan kredibilitas merek dan citra merek ini diharapkan dapat meningkatkan ekuitas merek dari Saver bagi konsumen mereka. Ini sangat penting dalam industri B2B ini karena semua konsumen sangat unik.Responden dalam penelitian ini adalah 100 pria dan wanita yang merupakan konsumen produk Saver di Jawa Timur, Indonesia. Penelitian ini menggunakan pendekatan kuantitatif yang menguji beberapa hipotesis menggunakan analisis PLS SEM (Structural Equation Modeling). Hasil penelitian ini menunjukkan bahwa kredibilitas merek mempengaruhi ekuitas merek Saver secara signifikan dengan probabilitas sebesar 1,964, dan citra merek Saver sebesar 16,814. Citra merek juga mempengaruhi ekuitas merek Saver secara signifikan sebesar 6,06. Maka dari itu citra merek dari Saver juga akan membantu meningkatkan ekuitas.

 

Kata kunci: Ekuitas Merek, Kredibilitas Merek, Citra Merek, Pelumas dan Oli Kimia

 

Abstract: Brand credibility are used by marketers to convey messages from a brand. Saver as a lubricant and chemical oil brand uses their name as a value to increase their brand image and equity. The use of these brand credibliity and brand image is expected to increase brand equity from Saver for their consumers. It’s really important in this B2B industry because all consumer is very unique.Respondents in this study were 100 men and women who is a consumer of the Saver product in East Java, Indonesia. This study uses a quantitative approach that tests several hypotheses using SEM (Structural Equation Modeling) PLS analysis. The results of this study indicate that the brand credibility affect the Saver brand equity significantly with probability 1,964 and also affects 16,814 the establishment of Saver brand image. Brand image is affect as much 6,06 the equity of the Saver brand. Then brand image from Saver also help improve the equity.

 

Keywords: Brand Equity, Brand Credibility, Brand Image, Lubricant and Chemical Oil
Diversity and novel lineages of black yeasts in Chaetothyriales from freshwater sediments in Spain
Authors: Torres-Garcia D. , García D. , Réblová M. , Jurjević Ž. , Hubka V. , Gené J.
Published: November 2023

Black yeasts comprise a group of Ascomycota of the order Chaetothyriales with highly variable morphology, a great diversity of ecological niches and lifecycles. Despite the ubiquity of these fungi, their diversity in freshwater sediments is still poorly understood. During
a survey of culturable Ascomycota from river and stream sediments invarious sampling sites in Spain, we obtained 47 isolates of black yeasts by using potato dextroseagar supplemented with cycloheximide. Apreliminary morphological study and sequence analyses of the internal transcribed
spacerregion(ITS) and the large subunit (LSU) of the nuclear rDNA revealed that most of the isolates belonged to the family Herpotrichiellaceae. We have confidently identified 30 isolates representing the following species: Capronia pulcherrima, Cladophialophora emmonsii,
Exophiala equina, Exophiala pisciphila, Exophiala radicis, and Phialophora americana. However, we encountered difficulty in assigning 17 cultures to any known species within Chaetothyriales. combining phenotypic and multi-locus phylogenetic analyses based on
the ITS, LSU,β-tubulin (tub 2) and translation elongation factor1 - α( tef 1-α) genemarkers, we propose the new genus Aciculomyces in the Herpotrichiellaceae to accommodate the novel species Aciculomyces restrictus. Othernovel species
in this family include Cladophialophora denticulata, Cladophialophora heterospora, Cladophialophora irregularis, Exophiala candelabrata, Exophiala dehoogii, Exophiala ramosa, Exophiala verticillata and Phialophora submersa. The new species
Cyphellophora spiralis, closely related to Cyphellophora suttonii, is described, and the phylogeny of the genus Anthopsis in the family Cyphellophoraceae is discussed. By utilizing these four markers, we were able to strengthen the phylogeneticre solution and provide
more robust taxonomic assessments within the studied group. Our findings indicate that freshwater sediments may serve as are servoir for intriguing black yeasts, which warrant further investigation to address gaps in phylogenetic relationships, particularly within Herpotrichiellaceae.
PERANCANGAN GEREJA ALFA OMEGA SURABAYA OLEH RYAN EDGAR ARCHITECTS
Authors: Santoso Ryan Edgar , Indrawan Stephanus Evert
Published: November 2023

Pandemi COVID-19 menyebabkan terjadinya perubahan dalam kehidupan bermasyarakat dan berbagai kegiatan fundamental manusia lainnya. Termasuk terjadinya fenomena percepatan digital khususnya di Indonesia. Melihat tren peningkatan penggunaan teknologi digital dan melihat berbagai kelebihan yang mampu ditawarkan menyebabkan teknologi menjadi peluang yang jelas. Secara khusus dalam proses perancangan arsitektural, teknologi memberikan kemampuan efisiensi dan efektifitas serta mampu menggali lebih dalam proses perancangan dalam hal pencarian bentuk, simulasi performa bangunan hingga proses realisasi rancangan. Oleh karena itu Ryan Edgar Architects sebagai konsultan arsitektur interior mengambil posisi sebagai konsultan yang berfokus pada penggunaan teknologi digital dalam proses perancangan arsitektur interior. Ryan Edgar Architects melakukan pendekatan dengan penggunaan teknologi digital secara khusus dalam pencarian bentuk, simulasi dan proses realisasi terhadap proyek perancangan Gereja Alfa Omega Surabaya. Adapun tujuan yang ingin dicapai dalam perancangan ini adalah menciptakan desain gereja dengan pemanfaatan teknologi digital yang mampu mengakomodasi kebutuhan kegiatan gereja. Proses perancangan dimulai dengan melakukan penelitian secara kualitatif dengan melakukan penggalian data mengenai bentuk gereja, kebutuhan klien, observasi dan analisa lahan, ideasi dan pengajuan desain. Proses analisa lahan dapat dilakukan dengan pemanfaatan teknologi digital yang mampu menghasilkan data yang komprehensif. Secara khusus proses desain harus memperhatikan keinginan klien yaitu bangunan gereja harus mampu menampilkan nilai gereja dan terlihat megah. Proses pencarian bentuk diaplikasikan dalam pengolahaan desain fasade dan elemen pembentuk ruang seperti ceiling. Penggunaan teknologi digital dalam perancangan gereja Alfa Omega Surabaya akan menghasilkan sebuah desain dengan bentuk elemen yang unik dan tetap memperhatikan parameter lingkungan.
Dynamic triaxial test research on the effect of water content on the dynamic characteristics of rubber-sand particles
Authors: Wei Xiong
Published: November 2023

In order to understand the effect of moisture content on the dynamic characteristics of rubber-sand particles (Rubber-Soil Mixture, RSM), a dynamic triaxial test was carried out. Before the test, the rubber particles and sand were mixed according to the rubber volume ratio of 0%, 25%, 30%, 40%, 50%, 75%, and 100%, and the water content was 0%, 5%, and 10%. The confining pressure control of the triaxial test is 50, 100, 200, a total of 63 groups of tests. In the test, the effects of dynamic triaxial confining pressure, rubber particle content and moisture content on RSM were investigated respectively. The test results show that: (1) under the same rubber particle content, the dynamic shear modulus of the RSM sample increases with the increase of the confining pressure; (2) with the increase of the rubber particle content, the dynamic shear modulus of the RSM sample increases. The shear modulus decreased significantly; (3) The change of water content did not cause significant changes in the dynamic shear modulus of RSM samples. The test results can be used as a reference for the engineering application of RSM seismic isolation technology in the future.
Hubungan Tingkat Pengetahuan dengan Kepatuhan Minum Obat Pada Penderita Hipertensi Usia Produktif
Authors: Toar Jilly , Sumendap Gilbert
Published: November 2023

Hypertension is still a major health problem in Indonesia because it is a common cause of increased mortality and morbidity in the community due to uncontrolled hypertension. One of the causes of uncontrolled blood pressure is the lack of knowledge and awareness of hypertension sufferers. This study aims to determine whether there is a relationship between the level of knowledge and adherence to taking medication in people with hypertension of productive age in the work area of ​​the Rurukan Health Center. This type of research is a quantitative research with a correlational descriptive design with a cross-sectional approach. The sampling technique was random sampling with a total of 80 people. Data analysis using Chi Square. Results: There is no significant relationship between the level of knowledge and medication adherence with a p-value of 0.757 > 0.05. Conclusion: The level of patient knowledge has no relationship with medication adherence in hypertension sufferers. Suggestions for further research are to look at other variables such us economic factors and family support which are related to the level of medication adherence.

Keywords: Hypertension, Knowledge, Medication Adherence.

Abstrak

Hipertensi masih menjadi masalah kesehatan utama di Indonesia karena merupakan penyebab umum terjadinya peningkatan angka mortalitas dan morbiditas pada masyarakat akibat dari tidak terkontrolnya hipertensi. Salah satu penyebab tekanan darah yang tidak terkontrol adalah kurangnya pengetahuan dan kesadaran dari penderita hipertensi. Penelitian ini bertujuan untuk mengetahui apakah terdapat hubungan antara tingkat pengetahuan terhadap kepatuhan minum obat pada penderita hipertensi usia produktif di wilayah kejra puskesmas rurukan. Jenis Penelitian adalah penelitian kuantitatif dengan rancangan deskriptif  korelasional dengan pendekatan cross-sectional. Teknik pengambilan sampel  adalah random sampling dengan jumlah 80 orang. Analisis  data menggunakan Chi-Square.  Hasil : Tidak ada hubungan yang signifikan antara tingkat pengetahuan dengan  kepatuhan minum obat dengan nilai p-value 0,757 > 0,05.  Kesimpulan: Tingkat pengetahuan pasien tidak memiliki hubungan dalam kepatuhan minum obat pada penderita hipertensi. Saran untuk penelitian lanjutan agar melihat variabel lain seperti faktor ekonomi dan dukungan keluarga yang berhubungan dengan tingkat kepatuhan minum obat.

Kata Kunci: Hipertensi, Kepatuhan Minum Obat, Pengetahuan
Shifts in drugs use after the COVID-19 pandemic based on the analysis of ABC, VEN and ABC-VEN matrix
Authors: Yulistiani Yulistiani , Hamidi Nur Fauzi , Utomo Febriansyah Nur , Hamidah Khusnul Fitri
Published: November 2023

Background: The existence of the COVID-19 pandemic has caused a shift in medicine use in patients.

Objective: This study aims to determine patterns and differences in medicine use at Airlangga University Hospital before (2018 and 2019) and after (2020–2022) the COVID-19 pandemic based on ABC, VEN and ABC-VEN matrix analysis.

Methods: This study is a retrospective cross-sectional study. Data on all patients’ medicine use items between January 1st, 2018 – December 31st, 2022 which obtained from the hospital information system will be analyzed according to category based on the principles of ABC analysis, VEN, and the ABC-VEN combination and a statistical t-test analysis in SPSS to find out differences in medicine use at the Universitas Airlangga Hospital in the pre-pandemic era of COVID-19 versus the era of the COVID-19 pandemic.

Results: Based on the results of the study, a total of 6893 drug items were obtained. There was a significant shift in the pattern of non-essential medicines use prescribed to patients after the COVID-19 pandemic (p < 0,05).

Conclusion: There was a shift in the pattern of use of prescribed non-essential medicines after the COVID-19 pandemic compared to before the pandemic occurred.
Assessment of occurrence, diversity, and biomass of macroinvertebrates in Swiss groundwater systems using citizen science data
Authors: Schneider Ana Sofia , Knüsel Mara , Altermatt Florian
Published: November 2023

Groundwater is a vast ecosystem harboring a high diversity of specialized taxa. Despite its diversity, groundwater is a still relatively unexplored and threatened ecosystem. Especially the linkage of groundwater with other ecosystems remains largely unknown from the perspective of groundwater fauna. Here, we used citizen science data to get a first baseline knowledge of the occurrence, diversity, and biomass of major macroinvertebrate groups found in shallow groundwater systems of Switzerland. We investigated all organisms collected from the groundwater in 346 spring catchment boxes of municipal drinking water providers. We morphologically identified the organisms on a broad taxonomic level and estimated their biomass and pigmentation using automated image processing. Crustaceans, particularly Niphargus and groundwater isopods, were the most common taxa of obligate groundwater organisms. We also found a surprisingly high number of macroinvertebrates associated with surface and subsurface ecosystems. These taxa might be accidentally entering the groundwater or use it as temporary habitat. In both cases they possibly contribute essential allochthonous energy imports from the surface. We found a positive relationship between the estimated biomass of macroinvertebrates in the samples and the occurrence and abundance of Niphargus. Owing to the widespread occurrences of surface and subsurface macroinvertebrates in our groundwater samples, our study provides evidence for common interactions between groundwater, soil, and surface ecosystems.
Two new species of the bamboo-feeding planthopper genus Neobelocera Ding & Yang from China (Hemiptera, Fulgoromorpha, Delphacidae)
Authors: Li Hong-Xing , Chen Xiang-Sheng , Yang Lin
Published: November 2023

Two new species of the bamboo-feeding genus Neobelocera Ding & Yang, 1986, N. furcatasp. nov. and N. parvulasp. nov., are described and illustrated from China. A key based on the male genitalia is given to distinguish species of this genus and a map provided to show their geographic distribution. Habitus photos for adults and illustrations of male genitalia are also given.
La fabrique d’un « bien commun » comme lutte de pouvoir : la pinède de Saint-Brévin, 1850-1900
Authors: Sébileau Arnaud
Published: November 2023

L’article prend pour objet l’histoire sociale de la propriété et de l’usage d’une pinède située sur une commune éponyme – Saint-Brévin-les-Pins – dans les dernières décennies du xix e  siècle, sa genèse et son institutionnalisation en bien commun. À partir du dépouillement d’archives départementales et nationales visant à caractériser finement les catégories sociales engagées dans cette histoire, il s’agit d’interroger la fabrique localisée d’un bien commun et de montrer que la pinède, et son contrôle, offrent l’occasion de luttes à propos de l’exercice de la domination politique et de la maîtrise des sociabilités des catégories dominantes.
Développement de l’IA et questions éthiques : passage d’une perspective statique à une perspective dynamique
Authors: Sahut Jean-Michel , Braune Éric , Lissillour Raphael
Published: November 2023

L’utilisation éthique de l’IA dans les organisations pose de nombreux défis qui nécessitent que les parties prenantes débattent et expriment les valeurs relatives à leur position éthique. Ces débats donnent lieu à des tensions entre l’idéal de délibération inclusive issu de l’éthique du discours de Habermas, et la conception bourdieusienne de débats se déroulant dans des champs structurés avec des relations de pouvoir entre des parties prenantes concurrentes et inégales. En analysant 137 documents provenant de 21 pays, nous avons pu cartographier les facteurs influençant la prise en compte des questions d’éthique commerciale qui se posent au cours des deux principales étapes du développement d’un système d’IA, à savoir l’étape de sa conception et l’étape de son utilisation. Ensuite, nous élaborons trois dispositifs techniques pour résoudre les questions éthiques et les discutons à la lumière de la tension entre les conceptions idéales et pratiques des débats requis pour une utilisation éthique de l’IA.
More on complex hesitant fuzzy graphs
Authors: Alkouri AbdUlazeez , AbuHijleh Eman A. , Alafifi Ghada , Almuhur Eman , Al-Zubi Fadi M. A.
Published: November 2023

Correctly determining a company's market worth during an entire year or a certain period presents a difficulty to decision-makers. In the case of the merger of companies, the need performs heavier when both the companies' owners are attracted to establishing a fair price at the optimal time to merge. The effectiveness of representing, connecting and manipulating both uncertainty and periodicity information becomes highly required. Hence, study and nhance some properties and conditions of the algebraic structure of complex hesitant fuzzy graphs. Therefore, the degree of composition between two complex hesitant fuzzy graphs is proposed. Also, the formal definitions of union, joint and complement are presented to be covered in the realm of complex hesitant fuzzy graphs. A real-life application is illustrated to show the relation between vertices and edges in the form of complex hesitant fuzzy graphs.
Intuitionistic fuzzy monotonic DOWA operators
Authors: Xie Zhichun , Ma Rong , Li Deqing , Wan Qianhui , Zeng Wenyi , Yu Xianchuan , Xu Zeshui
Published: November 2023

A new measure for intuitionistic fuzzy numbers (IFNs) is proposed to reflect the magnitude of IFNs, and a novel ranking approach for IFNs is presented based on this measure. Furthermore, the theoretical basis of the ranking method is investigated, and several intuitionistic fuzzy monotonic dependent ordered weighted averaging (IFMDOWA) operators are developed, such as the conservative IFMDOWA (COV-IFMDOWA) operator, positive intuitionistic fuzzy monotonic DOWA (POS-IFMDOWA) operator, conservative intuitionistic fuzzy hybrid monotonic dependent order weighted averaging (COV-IFHMDOWA) operator, and positive intuitionistic fuzzy hybrid monotonic dependent order weighted averaging (POS-IFHMDOWA) operator. Finally, a numerical example is given to illustrate the flexibility of our proposed monotonic dependent order weighted averaging operators in a practical decision making process.
A heterogeneous signcryption scheme for smart grid with trusted multi-ciphertext equality test
Authors: Yang Xiaodong , Liu Ruixia , Shu Bin , Ren Ningning , Wang Wenjia
Published: November 2023

Energy utilization rates have been largely improved thanks to the wide application of smart grids, thereby realizing the reliable, economic and efficient operation of the grids. However, such an application is also accompanied by many security issues. In response to the many problems within existing security schemes, such as not supporting the communication between heterogeneous cryptosystems, low security levels and a low data retrieval efficiency, a heterogeneous signcryption (HSC) scheme that supports a trusted multi-ciphertext equality test (MET) is proposed. The adoption of the HSC helps to identify secure communications from identity-based cryptosystems to certificateless cryptosystem, eliminates the certificate management problems in the traditional public key cryptography scheme, and ensures the confidentiality and authentication of power data. The introduction of the MET technology can avoid the high cost of equality test calculations after grouping ciphertexts in pairs. Using blockchain and smart contract technologies ensure the credibility of test results and eliminates the reliance on trusted cloud servers. Under the random oracle model, on the basis of the bilinear Diffie-Hellman, the computational Diffie-Hellman and the q-strong Diffie-Hellman problems, this paper proves that the scheme proposed herein meets the requirements of indistinguishability and one-way security under adaptive choice ciphertext attacks, and the unforgeability under the adaptive choice message attack. From the findings of the analysis, it has been shown that the proposed scheme satisfies more security attributes and requires lower computational overhead compared to similar schemes.
Demand estimation with infrequent purchases and small market sizes
Authors: Hortaçsu Ali , Natan Olivia R. , Parsley Hayden , Schwieg Timothy , Williams Kevin R.
Published: November 2023

We propose a demand estimation method that allows for a large number of zero‐ sale observations, rich unobserved heterogeneity, and endogenous prices. We do so by modeling small market sizes through Poisson arrivals. Each of these arriving consumers solves a standard discrete choice problem. We present a Bayesian IV estimation approach that addresses sampling error in product shares and scales well to rich data environments. The data requirements are traditional market‐level data as well as a measure of market sizes or consumer arrivals. After presenting simulation studies, we demonstrate the method in an empirical application of air travel demand.
Robust contracting under double moral hazard
Authors: Carroll Gabriel , Bolte Lukas
Published: November 2023

We study contracting when both principal and agent have to exert noncontractible effort for production to take place. An analyst is uncertain about what actions are available and evaluates a contract by the expected payoffs it guarantees to each party in spite of the surrounding uncertainty. Both parties are risk‐neutral; there is no limited liability. Linear contracts, which leave the agent with a constant share of output in exchange for a fixed fee, are optimal. This result holds both in a preliminary version of the model, where the principal only chooses to supply or not supply an input, and in several variants of a more general version, where the principal may have multiple choices of input. The model thus generates nontrivial linear sharing rules without relying on either limited liability or risk aversion.
Design of a Voice-Based Automated Enquiry System for Public Transport
Authors: Agbonifo Oluwatoyin Catherine , Olotu Samuel Ibukun , Oluwatusin Toyosi Ayo
Published: November 2023

Public transportation provides opportunities for mobility, access to basic services, work, and studying. It is of great benefit to those who choose to ride as well as those who have no other choice. Generally, commuters often experience waiting at a transport terminal to get information from transport controllers about transport facilities. The transport enquiry system is useful to provide bus details necessary to plan travel and save the waiting time for the user at the bus station. This chapter aims to develop a voice-based automated transport enquiry system. The need for the voice application is borne out of the desire to assist people, especially those with visual impairments, to have access to the functionality of the transport enquiry system. A test case of the Federal University of Technology Akure (FUTA) shuttle system is used. A survey is carried out to evaluate the performance of the system among users of the proposed system and the obtained response time, efficiency, and functionality metrics is presented.
A Systematic Review of Literature for Technology Adoption and Use
Authors: Etim James S.
Published: November 2023

Digital technologies can allow for more proactive and engaged learning for students. The study analyzed recent publications related to technology use at all levels in Nigerian classrooms. The PRISMA Guideline was followed to analyze 25 quantitative studies published between 2015 to 2023. Five thematic areas related to ICT implementation in schools were explored. The review showed that there was some adoption of technology, but the level of adoption would increase with the provision of hardware for faculty, a steady supply of electricity, and professional development for teachers.
The Suggested Use of Big Data in Medical Analytics by Fortis Healthcare Hospital
Authors: Veeraiah Vivek , Thejaswini K. O. , Dilip R. , Jain Sanjiv Kumar , Sahu Aradhana , Pramanik Sabyasachi , Gupta Ankur
Published: November 2023

The chapter describes how clinical data may be stored in digital formats, such as patient reports, as electronic health records, and how meaningful information from these records may be created using data analytics methods and tools that may assist patients and physicians to save time and money. The Apollo Hospital in Kolkata, West Bengal, India is the subject of this study. Apollo Hospital is the biggest hospital in West Bengal. It collects a huge quantity of heterogeneous data from various sources, including patient health records, lab test results, digital diagnostic supplies, healthcare insurance data, social media data, pharmaceutical data, gene expression records, transactions, and data from MY hospital's Mahatma Gandhi Memorial Medical College. Data analytics could be used to organise this data and make it retrievable. As a result, the term “big data” may be used. Big data is defined as exceptionally big datasets which may be analysed computationally to uncover trends, patterns, and relationships, visualisation, information privacy, and predictive analytics on a huge dataset.
The Aesthetics of Natural Black Hairstyles
Authors: Allen Carolyn
Published: November 2023

The chapter considers the three African aesthetic principles of polyrhythm, curvilinearity, and repetition and applies the aesthetic principles to natural Black hairstyles. Aesthetics are associated with the conception of beauty or what is considered beautiful. Afros, locs, twists, braids, and Bantu knots are natural hairstyles considered beautiful in the African aesthetic. However, natural Black hairstyle have been disparaged in the American workplace. Discrimination and bias against natural Black hairstyles will be reviewed. The purpose of the chapter is to discuss the links between African aesthetics and natural Black hairstyles. Further, the chapter explores bias against natural Black hairstyles and the rejection of African aesthetics by European standards.
“Professionalism” and the Contentious Relationship With Black Hair
Authors: Diggs Schnequa Nicole , Diggs Christine Heath
Published: November 2023

This chapter deconstructs assumptions and standards of Black hairstyles in professional settings. Using an intersectional perspective, the authors review Black hair, culture, and identity by examining how hair takes on multiple meanings and can be used to grant or deny access to employment opportunities. The authors explore influences on socially acceptable “professional” hair through a content analysis of articles and media by decoding language, narratives, and depictions of hair with the hope of supporting claims on the ways Black women experience and internalize external pressures to conform with whitewashed standards of professional and self-identity. Authors also highlight hair discrimination lawsuits to show the complexity of grooming decisions for Black women in professional settings. The chapter proceeds with discussion on the increased visibility of Black natural hair as a means of changing perceptions of professionalism narrative and concludes with equity-focused strategies.
A Comprehensive Review on Cyber Security and Online Banking Security Frameworks
Authors: Mohanty Suneeta , Sharma Sourav , Pattnaik Prasant Kumar , Hol Ana
Published: November 2023

The rapid growth of online banking and financial transactions has increased the risk of cyber threats and attacks on financial institutions. Cyber security and online banking security frameworks are essential in mitigating these threats and securing sensitive information. This chapter provides a detailed examination of the cyber security and online banking security frameworks utilized by financial institutions to safeguard their assets and clients. The study identifies common threats to online banking systems and discusses the various security measures that can be implemented to prevent these threats. The chapter also evaluates the effectiveness of existing security frameworks and proposes a comprehensive security framework that combines multiple layers of protection to enhance the security of online banking transactions.
A Hybrid Reinforcement Learning and PSO Approach for Route Discovery of Flying Robots
Authors: Maity Ritu , Mishra Ruby , Pattnaik Prasant Kumar , Linh Nguyen Thi Dieu
Published: November 2023

Route discovery for flying robots is one of the major concerns while developing an autonomous aerial vehicle. Once a path planning algorithm is built and the flying robot reaches the destination point from the target point successfully, it is again important for the flying robot to come back to its original position and that is done through route discovery algorithms. Reinforcement learning is one of the popular machine learning methods in which the flying robot has to interact with the environment and learn by exploring the possibilities and maximum reward point method, without the requirement of a large amount of prior training data. Particle swarm optimization is an artificial intelligence inspired algorithm which finds optimal solution in a multi-dimensional space. This chapter has discussed a random exploration reinforcement learning approach combined with PSO algorithm that has been used to discover the optimum path for a flying robot to return from the destination point to the target point after it had traversed its best path from an already defined swarm intelligence technique. PSO+Reinforcement Learning (RL-PSO) is an optimization technique that combines the global search capability of PSO with the exploitation and exploration strategy of RL. Here higher reward points were assigned to the already defined best path obtained from the path planning technique, so that while returning from the destination point it will try to find the route with the highest reward point. With several iterations, it will optimize and find the best route for backpropagation. The algorithm is built using a python environment and the convergence result with the number of iterations has been validated.
Assessing the Impact of GeoAI in the World of Spatial Data and Energy Revolution
Authors: Chavan Shradha , Mulay Preeti
Published: November 2023

Geospatial is going to be the absolute heart of making sense of trillions of bits of data that are going to be surveyed by big machines. The buzz word of the last 4-5 years has been artificial intelligence (AI) and is influencing every marketplace including GIS, healthcare, pollution, and the list is truly endless. It is the world of collaborative and multidisciplinary research where technology is applied in almost every domain and has proved extremely useful to end-users. The diversity of themes identified in this chapter can be grouped into the categories of renewable energy mapping: spatiotemporal analysis, and data mining. This chapter gives a comprehensive account of transformation from the classical ML clustering techniques with the potential of quantum clustering (QC) which can be applied or mapped to renewable energy solutions driven by use of GIS, or narrating the importance of GIS and quantum. This chapter highlights the relationship between GeoAI, cybersecurity, and quantum computing in the world of spatial data.
Cyber Security Risk Assessment and Management Using Artificial Intelligence and Machine Learning
Authors: Ganesan Sangeetha , Indumathi A. , Subramani Kumaravel , Uma N. , Sugacini M. , Kavishree S.
Published: November 2023

The threat of cyber-attacks and wireless communication technologies are now affecting a number of private and public organizations around the world. It is a challenge to protect today's data from cyber-attacks since it is highly dependent on electronic technology. It is possible to mitigate or reduce these risks by identifying them. Risk assessments can help to develop a plan for responding to and recovering from a cyber attack. It is crucial to continuously monitor and assess the risk environment to identify any changes in the organization's context and to keep track of the entire risk management process. Researchers from all around the world have proposed a number of methods to thwart cyber-attacks or minimize the harm they do. The aim of this chapter is to present in-depth analysis of the typical improvements achieved in the field of cyber security risk assessment and management and examines the impact of artificial intelligence and machine learning in cyber security risk assessment, and management.
Profile Clone Detection on Online Social Network Platforms
Authors: Eklah Anthony Doe , Yaokumah Winfred , Appati Justice Kwame
Published: November 2023

Successful profile cloning attacks have far-reaching consequences for the victims. People whose profiles are cloned suffer defamation, mistrust, loss of job, interdiction, public disgrace, dent of reputation, and defrauding. This chapter aims to identify and propose a model that detects profile cloning attacks on online social network platforms. The proposed model is based on unsupervised machine learning clustering and statistical similarity verification methods for the filtration of profiles. The model computes statistical values for attribute similarity measure (ASM) and friends network similarity measure (FNSM). The model has a precision score of 100%. The attribute weight and friends network similarity measures show percentile figures ranging from 0.45 to 1.00. Profile accounts that fall within this range for both ASM and FNSM measures are likely to turn out to be cloned. The higher the figures, the more the suspicion of being a fake account to the supposed original one. The strength of the model is that it exposes the actual clone using the outcome of the computation.
Exploring the Role of OpenStreetMap in Mapping Religious Tourism in Pakistan for Sustainable Development
Authors: Ahmad Munir
Published: November 2023

Religious tourism in Pakistan is a diverse and culturally rich sector poised for growth, yet facing numerous challenges, including infrastructure deficiencies, maintenance issues, security concerns, undiscovered potential, economic factors, cultural disparities, and data gaps. OpenStreetMap (OSM), a community-driven mapping platform, offers transformative solutions. OSM can empower users to map religious sites, provide information, improve accessibility, and advocate for cultural preservation. It can help in route planning, community engagement, tourism promotion, and economic empowerment. OSM can address Pakistan's challenges by mapping infrastructure, supporting maintenance, ensuring safety, promoting lesser-known sites, enhancing economic inclusivity, and fostering cultural harmony. Real-time data from OSM has the potential to empower sustainable tourism development.
The Sacred Paths
Authors: Zreik Mohamad
Published: November 2023

The pilgrimage routes of Southeast Asia are discussed in this chapter, with emphasis on Thailand. It examines the paths that already exist and suggests new ones that incorporate cultural, gastronomic, and ecological elements. The chapter also analyzes the regional impact, particularly the relationship between pilgrimage, cultural heritage, and tourism, and the growth of local economies. It sheds light on the connections between pilgrimage sites and their routes using the Temple of the Emerald Buddha in Bangkok and Phra That Doi Suthep in Chiang Mai as case examples. The goal is to educate those who care about sustainable regional development in Southeast Asia on the best practices for managing and upgrading these sacred paths.
Assessing the Alignment Between Existing Finnish Patient Portals and the Newly Implemented Finnish Well-Being Reform
Authors: Machal Marlon Luca
Published: November 2023

Due to the recent implementation of the Finnish well-being reform, there is limited research discussing the reform's aims and its alignment with existing Finnish patient portals. The objective of this research is to assess the alignment between existing Finnish patient portals and the newly implemented well-being reform. This research is supported by the insights gained from monitoring the US health reform survey that was conducted in 2021. By Aligning patient portals with the well-being reform, there is an opportunity to achieve patient-centered care and facilitate improved communication between patients and healthcare providers.
Digital Technologies and COVID-19 Vaccine Acceptance
Authors: Wamba Samuel Fosso , Guthrie Cameron , Queiroz Maciel M. , Twinomurinzi Hossana
Published: November 2023

In light of the controversies surrounding COVID-19 vaccines, this study explored vaccine adoption through a theoretical model, focusing on France (n=2001) and South Africa (n=1107). Analysis using structural equation modelling and hierarchical cluster analysis revealed that social influences, personal opinions on vaccines, perceived severity of the pandemic, and perceived benefits of vaccination were primary drivers of adoption in both countries. Belief in conspiracy theories and perceptions of social distancing and stay-at-home measures had no influence on acceptance. Trust significantly influenced adoption intentions only in South Africa. Cluster analysis revealed four distinct opinion groups—“enthusiasts,” “doubters,” “followers,” and “conspirationists”—each preferring different health information sources and technologies, with a common preference for traditional media over social media. These findings have implications for developing targeted health policies, communication, and trust-building strategies.
Evaluation of interleukin-33 & sST2 levels in type-2 diabetic mellitus patients with or without metabolic syndrome
Authors: Singh Himadri , Khadanga Sagar , Goel Sudhir K. , Majumder Syamantak , Baig Mirza S. , Bhatia Vikas , Chaudhary Neha , Saluja Rohit
Published: November 2023

Background & objectives:

Diabetes mellitus (DM) is characterized by increase in blood glucose levels due to defective insulin secretion or insulin sensitivity. Interleukins (ILs) are known to play an important role in the pathogenesis of DM. The aim of this study was to investigate the serum concentration of IL-33 and its receptor soluble ST2 (sST2) in patients with diabetes and draw a correlation between their serum levels and different standard glycaemic indices of patients affected with type-2 diabetes with or without metabolic syndrome.

Methods:

Thirty type-2 diabetic individuals and 30 healthy controls were recruited for this study. Serum and plasma were separated by centrifugation of blood for quantitative measurement of IL-33, sST2 and other biochemical parameters.

Results:

It was observed that serum IL-33 levels were significantly less and sST2 levels were significantly high in type-2 diabetic individuals as compared to healthy controls. A significant correlation between the serum IL-33 concentration and fasting plasma glucose (FPG) and postprandial plasma glucose (PPG) levels were also found. Additionally, data also elucidated that serum levels of high-density lipoprotein, low-density lipoprotein or triglyceride in type-2 diabetics did not influence the serum levels of IL-33 and sST2, thereby excluding these factors as the major drivers of changes in serum IL-33 and sST2 concentration.

Interpretation & conclusions:

This study demonstrated alteration in serum levels of IL-33 and sST2 in type-2 diabetic individuals. Further mechanistic studies, focusing on the progression of type-2 diabetes could elucidate the involvement of IL-33 in the cellular acquisition of insulin resistance as observed in type-2 diabetics.
Causes of late-presenting developmental dislocation of the hip beyond 12 months of age: A pilot study
Authors: Johari Ashok N. , Pandey Ritesh Arvind , Mahapatra Sudhir Kumar , John Bobby
Published: November 2023

Background & objectives:

Developmental dysplasia of the hip (DDH), when detected early, can usually be managed effectively by simple methods. A delayed diagnosis often makes it a complex condition to treat. Late presentation of DDH is fairly common in developing countries, and there is scarcity of literature regarding the epidemiology and reason for late presentation. Through this study, we attempted to identify the reasons for late presentation of DDH in children more than 12 months of age.

Methods:

Fifty four children with typical DDH and frank dislocation of hip in whom treatment was delayed for 12 months or more were included. Parents were interviewed with a pre-structured questionnaire and data were collected for analysis with Microsoft Excel 2016 and SPSS version 26.

Results:

Diagnostic delay was the most common reason for late presentation and was observed in 52 children (96.2%). The mean age at diagnosis was 24.7 months. The mean age at treatment was 37.3 months with a mean delay of 12.5 months from diagnosis and 22.1 months from initial suspicion. Physician-related factors contributed 55.3 per cent, while family and social issues accounted for 44.7 per cent of overall reasons for diagnostic and treatment delays.

Interpretation & conclusions:

Late presentation of DDH in walking age is common. Physician- and family-related factors accounted for most of these cases. Failure or inadequate hip screening at birth by the attending physician is a common reason for late diagnosis. The family members were unaware about the disorder and developed suspicion once child started walking with an abnormal gait.
The Monodromy Map from Differential Systems to the Character Variety Is Generically Immersive
Authors: Biswas Indranil , Dumitrescu Sorin
Published: November 2023

Let

G

be a connected reductive affine algebraic group defined over

\mathbb C

and

\mathfrak g

its Lie algebra. We consider all pairs of the form

(Y, D)

, where

Y

is a complex structure on a compact oriented

C^\infty

surface

\Sigma

, and

D

is a holomorphic connection on the trivial holomorphic principal

G

-bundle

Y\times G

on

Y

; these are known as

\mathfrak g

-differential systems. We study the monodromy map from the space of

\mathfrak g

-differential systems to the character variety of

G

-representations of the fundamental group of

\Sigma

. If the complex dimension of

G

is at least three, and

\operatorname{genus}(\Sigma) \geq 2

, we show that the monodromy map is an immersion at the generic point.
Profit, Tradition, and African Wildlife: Examining Animal Commodification Through Eco-Bio-Communitarianism
Authors: Turner Carla
Published: November 2023

In Southern Africa, there exists a large-scale commodification of fauna, extending to the utilisation of animals in traditional medicine. In  South Africa alone, 1,175 documented cases of rhinoceros poaching transpired in a single annum, and analogously, an estimated 100,000  pangolins are smuggled from there to Asia annually. These and myriad other species, whether intact, in part, or processed into  medicaments, are vented either in their country of origin for application in traditional medicine or exported illicitly across the globe for  similar purposes. In this paper, I posit that this large-scale commodification conflicts with a relational African environmental ethic. To  substantiate this claim, I consider two cardinal concepts in African ecological ethics, which will illuminate how animals should be utilised  and considered morally. Firstly, the Shona concept of Ukama employs Felix Murove’s exegesis. Secondly, I explore eco-bio- communitarianism, precisely the Nso worldview of Godfrey Tangwa. Upon applying these concepts to the utilisation of fauna in  traditional medicine by traditional healers and to the current largescale commercial exploitation of animals in conventional medicine, this  thesis concludes that only the profit-driven use opposes an African environmental ethic.
Nano-Zirconia Synthesis Methods and their Pioneering Applications in Dentistry
Authors: H Ifijen Ikhazuagbe , M Uzoekwe Ngozi , B Ohiocheoya Ewanole , A Osarobo John , I Omonmhenle Selina
Published: November 2023

Nano-zirconia, also known as nanocrystalline zirconia or zirconia nanoparticles, is a versatile material with numerous applications in various fields, including catalysis, sensors, energy storage, and biomedical engineering. This review manuscript explores the synthesis methods of nano-zirconia, focusing on the sol-gel method, precipitation method, hydrothermal method, flame spray pyrolysis, and template-assisted synthesis. Each method is discussed in detail, highlighting its advantages and disadvantages. The selection of a synthesis approach depends on factors such as desired properties, scalability, cost, and equipment availability. Furthermore, the study examines specific dental applications where nano-zirconia materials find utility. In dental implantology, nano-zirconia implants have shown promising results in terms of osseointegration, with comparable or superior performance to titanium implants. Surface modifications, such as bioactive coatings, have been explored to enhance osseointegration and long-term success. Additionally, nano-zirconia ceramics have been utilized in dental prostheses, such as crowns, due to their biocompatibility and exceptional strength. Studies have evaluated the mechanical properties and translucency of different zirconia compositions for dental restorations. Moreover, improvements in the sol-gel process have led to the development of zirconia-silica glass ceramics with enhanced aesthetics and corrosion resistance. Lastly, the impact of professional tooth cleaning on zirconia dental prostheses has been investigated, providing insights into surface properties and bacterial adherence. Overall, nano-zirconia materials offer great potential in various dental applications, and their synthesis methods can be tailored to obtain desired properties for specific uses. Further research and optimization are required to fully explore and exploit the capabilities of nano-zirconia in dental settings.