bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancing Lubrication Efficiency and Wear Resistance in Mechanical Systems through the Application of Nanofluids: A Comprehensive Review
Authors: Lingenthiran Samylingam  , Navid Aslfattahi  , Chee Kuang Kok  , Kumaran Kadirgama  , Norazlianie Sazali  , Kia Wai Liew  , Michal Schmirler  , Devarajan Ramasamy  , Wan Sharuzi Wan Harun  , Mahendran Samykano  , A.S.Veerendra  , Semin  , Subramaniam Sivaraos
Published: April 2024

Due to its potential to increase lubrication effectiveness and reduce wear, nanofluids have drawn substantial interest in the field of mechanical systems. Colloidal suspensions of nanoparticles dispersed across a base fluid to create nanofluids. This comprehensive study's goal is to examine recent developments, scientific discoveries, and possible applications of nanofluids in tribology. The scientific and technical characteristics of materials which move in relation to one another are the subject of the academic topic of tribology. The aim of this review paper includes a thorough investigation of phenomena like lubrication mechanism, wear and friction. Because of their unique features at the nanoscale, nanoparticles offer a special opportunity to mitigate enduring problems in tribological systems. This review critically evaluates the process utilized to create nanofluids, examines their tribological properties, and considers how they affect the effectiveness of how mechanical systems function. The higher lubrication effectiveness and wear resistance are the main points of attention. This study also investigates several methods for characterizing nanofluids to examine their behavior. The assessment also emphasizes important elements that affect the effectiveness of nanofluids, including the composition, concentration, size, and choice of nanoparticles, in addition to the choice of the base fluid. This study examines many problems and probable future endeavors within the industry, encompassing inquiries pertaining to long-term durability, and scalability. The primary objective of this review paper is to conduct a comprehensive analysis of the current state of nanofluid research within the domain of tribology. The objective is to foster further progress and encourage the extensive adoption of nanofluids as an innovative lubricating technology.
CFD Based on The Visualisation of Aortic Valve Mechanism in Aortic Valve Stenosis for Risk Prediction at The Peak Velocity
Authors: Nur'Afifah Yousri  , Nabilah Ibrahim  , Nur Amani Hanis Roseman  , Ishkrizat Taib  , Shahnoor Shanta
Published: April 2024

Aortic valve disease plays a crucial role in the development of cardiovascular disease (CVD), leading to increased rates of mortality and morbidity. Two diseases, aortic valve regurgitation and aortic valve stenosis are known to occur in the aortic valve. However, aortic valve stenosis is gaining attention due to its severe impact on the patient. The malfunction of the aortic valve might be affected by blood flow, which leads to stenosis. This study aims to investigate the blood flow re-circulation on the aortic valve in different stenotic regions when the blood’s velocity reaches the pick flow of the time in the systole phases. Four different models of aortic valve stenotic are designed using computer-aided design (CAD) software. The computational fluid dynamics (CFD) approach governed by the Navier-Stokes equation is imposed to identify the characteristics of the blood backflow at the left ventricle. Several hemodynamic factors are considered, such as time-averaged wall shear stress (TAWSS), oscillatory shear index (OSI) and relative residence time (RRT). The blood flow characteristic is expected to be chaotic, especially at the highest percentages of aortic valve stenosis, presenting the worst condition to the heart. This finding supports healthcare providers in foreseeing the deterioration of the patient’s condition and opting for aorta valve surgery replacement.
Sosyal Bilgiler Öğretmenlerinin Mekânsal Becerilere İlişkin Görüşlerinin Belirlenmesi
Authors: Yıldırım Damla , Akbaba Bülent
Published: April 2024

Bu araştırmanın amacı sosyal bilgiler öğretmenlerinin mekânsal becerilere ilişkin görüşlerini belirlemektir. Bu amaç doğrultusunda, araştırma nitel araştırma yöntemlerinden temel nitel desen kullanılarak gerçekleştirilmiştir. Araştırmanın çalışma grubunu 2022-23 eğitim-öğretim yılında Millî Eğitim Bakanlığı’na bağlı devlet ortaokullarında görev yapmakta olan 9 sosyal bilgiler öğretmeni oluşturmaktadır. Araştırmanın verileri araştırmacılar tarafından hazırlanan yarı yapılandırılmış görüşme formu aracılığıyla toplanmıştır. Araştırmada verilerin analizinde içerik analizi tekniği kullanılmıştır. Araştırmanın sonucunda; sosyal bilgiler öğretmenlerinin mekânsal becerilerinin ne olduğuna ilişkin olarak; mekânı tanımlama, eğitsel ortam olarak mekânı kullanma, konum bilgisi, günlük yaşam problemi çözme, mekânı algılama, insan ve mekân etkileşimi, bilişsel beceri olarak tanımlamışlardır. Katılımcılar SBDÖP’da yer alan mekânsal becerileri ilişkin olarak ise; harita okuryazarlığı, mekânı algılama, grafik okuma, konum analizi, değişim ve sürekliliği algılama, çevre okuryazarlığı ve gözlem olarak görüş belirtmişlerdir. Bununla birlikte, katılımcılar, sosyal bilgiler dersinde mekânsal becerilere yer verilmesine ilişkin olarak uygulama az, günlük yaşamdan kopuk, alt becerileri az, öğrenim kademesi ilerledikçe azalır, yakından uzağa ilkesi ve kazanım azdır yönünde görüş belirtmişlerdir. Katılımcıların, mekânsal becerilerin öğrenciye kazandırılmasına yönelik olarak etkinliklere ilişkin olarak harita, kroki okuma ve yorumlama, mekânsal problem çözme, tablo, grafik oluşturma ve yorumlama, küre kullanma, gezi, yaşadığı çevreyi gözlemleme, müze ve tarihi mekân kullanma olarak görüş belirtmişlerdir. Katılımcılar, mekânsal becerileri ölçme ve değerlendirilmesine ilişkin olarak ise performans görevi, portfolyo, gösterip yaptırma, gözlem raporu, açık uçlu, yoruma dayalı sınav, beceri ölçeği ve sunum şeklinde görüş belirtmişlerdir. Araştırma sonucunda, SBDÖP ve sosyal bilgiler ders kitaplarında mekânsal becerilere yer verilme durumlarına, mekânsal becerilerin ölçme ve değerlendirilmesine yönelik ve mekânsal becerilerin önemli yer tuttuğu coğrafya ve okul öncesi alanında da benzer araştırmalar yapılması önerilmektedir.
Effect Of Heat And Time On A 5 Kg Capacity Clothes Dryer Machine
Authors: Boki Meki Alfonsus Ferdinan , Muharom Muharom , Riyadi Slamet , Siswadi Siswadi , Setyono Gatot
Published: April 2024

Utilization of natural energy sources such as solar thermal energy and geothermal energy converted into electrical energy through appropriate technology has been widely used and cannot be separated from the climate. One of them is the process of drying clothes. The drying process used by many people is still simple, namely by drying directly under the sun. This method is less effective because it takes a long time and still depends on the weather. So from here, we will innovate in making a clothes dryer that uses a heating element as a heat source and a fan. The purpose of using a heating element and fan is to help speed up the process of drying clothes in a short time without having to wait a long time and to be able to control the temperature of clothes.
Sistem Informasi PPDB Dengan Menerapkan Metode Simple Additive Weight (SAW) Dalam Sistem Pendukung Keputusan Pemilihan Sekolah
Authors: Putra Candra Novaliandi Pranata , Ritonga Alven Safik
Published: April 2024

This research proposes and implements a web-based New Student Admission Information System (PPDB) using the Simple Additive Weight (SAW) method as a decision support system for school selection. The case study was conducted at the Lidah Kulon I/464 Surabaya Elementary School. The background of this research is driven by the significant impact of information technology advancements in the education sector. Lidah Kulon I/464 Surabaya Elementary School, as an educational institution committed to achieving excellence, discipline, faith, science and technology (IPTEK), as well as environmental awareness, strives to reduce paper usage in the new student registration process by transitioning to a more efficient administrative information system. The results of the tests state that the system has succeeded in various aspects, including the use of the Certainty Factor Method, diagnosis menu, information menu, login menu, and others. The conclusion of this research is that the system has been implemented successfully, supporting the efficiency of the PPDB process, and providing easy access to users. System development recommendations for the future include flexibility without hard coding, more comprehensive user management, the development of a more advanced school selection system, more accurate entrance fee calculations, and considerations for seasonal factors and school promotions.
Keyword: PPDB Information System, Simple Additive Weight (SAW), Method Student Registration, Efficiency Educational Administration
Sistem Pendukung Keputusan Penyesuaian Harga Dan Penambahan Stok Barang Sewa Berbasis Web Menggunakan Metode SAW Pada Studi Kasus Perusahaan Doctor COS
Authors: Khurniawan Wahyu , Widhiyanta Nurwahyudi
Published: April 2024

Penyewaan kostum saat ini merupakan bisnis jasa persewaan yang sedang
berkembang, namun pengelolaan data umumnya dilakukan1secara1manual. Pada
awalnya1tidak1ditemukan1masalah1dengan1manajemen manual, namun seiring
dengan meningkatnya jumlah kostum yang ada dan jumlah kostum yang
disewakan, jumlah data yang harus dikelola bertambah, dan pengelolaan data
secara manual menjadi sulit, transaksi yang tercatat juga tidak efisien. perlu
dibangun sistem pendukung pengambilan keputusan yang terkomputerisasi,
seperti penyesuaian harga pakaian dan jumlah barang di pasaran, serta ketepatan
dan kecepatan penyajian informasi. Membangun sistem ini dimulai dengan
pendataan tentang sistem yang akan dibangun, menganalisanya, dan merancang
sistem berdasarkan hasil tersebut menggunakan metode Simple Additive
Weighting (SAW). Metode ini dipilih karena metode saw lebih populer sebab
proses hitungnya lebih mudah dipahami, lebih cepat dan lebih sederhana. Langkah
selanjutnya program dapat dibuat sesuai dengan hasil desain. Setelah program
dibangun, pengujian dijalankan untuk mengecek bahwa program yang dibangun
seperti dengan yang diharapkan. Langkah terakhir dalam kegiatan ini dengan
membuat dokumentasi sistem yang diwujudkan dalam bentuk laporan penelitian.
Hasil dari penelitian ini adalah sebuah aplikasi pendukung keputusan berbantuan
komputer yang apabila diimplementasikan diharapkan dapat mengatasi semua
permasalahan manajemen data pada bisnis sewa-menyewa.
Rancang Bangun Wind Tunnel Spesifikasi Kecepatan Angin Rendah Terhadap Intensitas Turbulensi Aliran Udara
Authors: Ulum Miftahul , Firmansyah M. Adie , Riani Novi Indah
Published: April 2024

Aliran udara dalam padangan fenomena mekanika fluida sangat penting dipelajari, untuk itu banyak peneliti melakukan eksperimen dalam membuktikan aliran udara yang memiliki berbagai karakter dalam aerodinamika. Pada penelitian ini, peneliti mencoba untuk membuat alat uji aliran udara yaitu Win Tunnel dengan kapasitas angin rendah yang biasa disebut sebagai subsonic, sebagai media pembelajaran dalam mengukur aliran udara kapasitas laboratorium. Metode yang digunakan pada penelitian ini adalah dengan cara eksperimen, dimana terlebih dahulu membuat rancang bangun Wind Tunnel Subsonic yang dapat digunakan sebagai alat uji, sebelum alat uji dapat digunakan dengan semestinya. Pada penelitian ini parameter yang digunakan dalam menentukan kelayakan alat adalah mengukur nilai intensitas turbulensi dengan penempatan posisi pada test section, yaitu bagian depan, tengah, dan belakang lokasi test section. Dengan menggunakan variasi putaran fan inverter pada frekuensi 15 Hz, 30 Hz, dan 45 Hz. Hasil dari penelitian ini didapat nilai Mach Number dibawah 0,3 dimana itu membuktikan bahwa Wint Tunnel  yang dibuat memiliki spesifikasi yang benar yaitu subsonic. Dari hasil penempatan posisi pada test section untuk mendapatkan intensitas turbulensi didapatkan hasil 11.15%, 7.83%, dan 12.5% pada f15 Hz, 6.54%, 2%, dan 2.76% pada f30 Hz, sedangkan pada f45 Hz didapat 2.47%, 0.87%, dan 1.67%. Posisi penempatan pitot tube terbaik adalah pada posisi ditengah tengah test section
Optimasi Biaya Transportasi Logistik Dan Penentuan Lokasi Gudang Baru Menggunakan Metode Center Of Gravity (COG)
Authors: Dewi Fitriya Gemala , Aprisi Anansyah M. Dikya , Hindratmo Astria , Wahyu Oktavia Chendrasari
Published: April 2024

To support product delivery, there is a need for distribution centers to send in a timely manner to various regions in Java Island. Research at PT. XYZ has a goal to determine the location of distribution centers that are effective and efficient in terms of minimizing transportation costs, because currently there are only old warehouses that are too far from distributors, with this distribution center, we can find out the cost comparison of product delivery to the intended distributor, and can also find out whether the center of gravity method can be applied to PT. XYZ or not. The case study of this research is product delivery in the East Java region by collecting product delivery data at PT. XYZ. This study uses Google Maps software to determine the coordinates of each customer, then calculates and processes the data using the Center of Gravity method. The research results obtained are the location of the new distribution center which is located in Kebontemu Hamlet, Peterongan District, Jombang Regency. With the new distribution center optimized by grouping, the effect on reducing transportation costs is 47%, and distances are 54%.
REASON FOR GUARDIANSHIP DUE TO MENTAL DISORDERS, ONE OF THE CASES REQUIRING GUARDIAN
Authors: Çınar Ceyda
Published: April 2024

Aim:
The aim of our study is to examine guardianship, which is the legal protection provided to individuals who lose their power of discrimination due to mental illness, from the perspective of the cause of mental illness.

Materials and Methods:
The article examines mental illnesses requiring guardianship under Article 405 of the Turkish Civil Code and mental disorders that may lead to restrictions within the scope of legal regulations.

Results:
It was determined that the mental illnesses examined necessitate guardianship under Article 405 of the Turkish Civil Code. Additionally, the effects of mental disorders specified within legal regulations on individuals' restrictions were investigated.

Conclusion:
As a result of the study, it was concluded that guardianship is an important legal tool for protecting individuals who lose their power of discrimination due to mental illness, and the effective use of this tool is crucial. However, further research is recommended to evaluate the effectiveness of current legal regulations in this field.
Centenary Paper: El indio-máquina y la contaminación minera en
Junín
(1930) de Enrique Bustamante y Ballivián
Authors: ARIAS JACK MARTÍNEZ
Published: April 2024

Este trabajo estudia el poemario
Junín
(1930), del peruano Enrique Bustamante y Ballivián (1883–1937). Mientras parte de la vanguardia latinoamericana expresa su fascinación por el auge de las nuevas máquinas de las metrópolis, este artículo muestra que Bustamante y Ballivián responde a esta tendencia con la representación de otro tipo de maquinarias –las extractivistas– en otro tipo de espacio: los Andes. El autor también responde a las propuestas poéticas vanguardistas indigenistas de sus contemporáneos peruanos. A diferencia de éstos, el poeta no pretende darle voz al sujeto indígena. Tampoco lo idealiza ni lo vincula exclusivamente con la naturaleza, sino que lo representa ‘acoplado’ a la maquinaria extractora de minerales. Asimismo, el poeta retrata a esta maquinaria como invasora, contaminante y destructora del paisaje y sus habitantes. Este trabajo argumenta que
Junín
aparece como la primera representación poética de los impactos ecológicos ocasionados por la explotación minera a gran escala en los Andes.
Centenary Paper: Juan Lorenzo Palmireno and the Practical Application of Humanistic Study
Authors: SCHMITZ RYAN
Published: April 2024

In the sixteenth century in Valencia, Spain, Juan Lorenzo Palmireno wrote self-help manuals aimed at the ‘literate country lad of slender means and few connections who plans to better his lot by moving to the city’, in the words of Richard Preto-Rodas. In
Estudioso de aldea
(1571) and its sequel
El estudioso cortesano
(1573), Palmireno guides his rustic reader in the art of self-fashioning and the presentation of a polished image, in speaking well to prosper in his urban milieu. The success of his books provides a historical, real-life connection to the struggles of many literary characters of the period, including Sancho Panza’s social-climbing ambitions, pícaros and pseudo-pícaros, courtiers and would-be courtiers. Today, the pragmatic objective to articulate clearly and project an image of culture, sophistication and clear thinking dovetails with students’ aims with their university education. At a time of crisis in the humanities, with student debt making US academia increasingly vocational, convincing students of the importance of studying Early Modern Spanish literature can be challenging. Palmireno’s manuals are immediately relatable given the parallels to students’ educational goals and views on the purpose of a liberal arts education, and they give historical context to the ‘great works’ of Golden Age Spanish literature.
ENTREPRENEURSHIP AND DIGITALISATION IN EU: TWINNING INSIGHTS THROUGH A PANEL THRESHOLD REGRESSION
Authors: Nicolescu Ana-Cristina , Lobonț Oana-Ramona , Vătavu Sorana , Bozga Emilia
Published: April 2024

The study methodologically employs, in a novel perspective, the panel threshold analysis, considering the time frame 2006–2020, to capture the relationship between new business density rate, as a proxy for entrepreneurship, and individuals’ digital inclusion, as a proxy for digitalisation in EU countries. Based on the human capital theory, the results indicated a strong single threshold effect between individuals’ digital inclusion and new business creation, confirming that entrepreneurship is influenced by the skills, knowledge, and experience of the entrepreneurs, including their education, training, and work history. For EU countries, individuals’ digital inclusion boosts business creation only after reaching a certain level. When separating the EU countries from the perspective of their Innovation Index performance, the threshold effect was statistically evidenced in all categories but with different values. The strongest positive influence from digitalisation towards entrepreneurship was visible in emerging countries, while the lowest was for countries classified as moderate innovators. The research provides an original framework for understanding the complex factors that drive entrepreneurship and can help researchers and practitioners develop strategies for promoting entrepreneurial activity. Digitalisation’s opportunities are significant, and entrepreneurial individuals and organisations able to adapt and innovate are more likely to be successful.
A tentative list of reptilian fauna of Algeria and their conservation status
Authors: Rouag Rachid , Ziane Nadia , De Sousa Marcos
Published: April 2024

Algeria is situated at the crossroads between Europe and Africa. The northern part of the country is listed as an area of high biodiversity. Currently, the ecosystems (rivers, lakes, deserts, forests etc.) and the species are under more pressure than ever. The impact of humans is significant and many factors constitute a strong threat to this fauna, especially reptiles, which are the most vulnerable because of their low mobility. Thus, pollution, the drying up of wetlands and their conversion to agriculture have clearly affected the existence of many species. The herpetofauna of Algeria is one of the most diversified in the Mediterranean Basin, consisting of 104 species of which 16.98% are endemic. We suppose that the present list of reptilian fauna provided in this paper is not exhaustive and it is expected to include more species given the lack of research on reptiles in Algeria and its large area.

Our dataset contains information on reptile occurrences in Algeria. The dataset is based on original research by the staff of the Laboratory of Environmental Sciences and Agroecology of Chadli Bendjedid University in Algeria. The conservation status of all recorded species is given.
A new Psammitis species (Araneae, Thomisidae) from an extinct volcano in Georgia with reevaluation of the generic position of Xysticus marmoratus Thorell, 1875
Authors: Seropian Armen , Mumladze Levan
Published: April 2024

A new species, Psammitis abuliensissp. nov., from Didi Abuli Mt. (Georgia, Samtskhe-Javakheti region), is described based on two male specimens. Diagnostic drawings, measurements, collecting data, diagnosis, and DNA barcodes are given. A new combination, Psammitis marmoratus (Thorell, 1875), comb. nov. (ex. Xysticus), is proposed based on the COI subunit barcode results and morphological characters.
A comparison of surgical treatments for tertiary hyperparathyroidism. A systematic review
Authors: Oikonomou Panagoula , Nikolaou Christina , Romanidis Konstantinos , Pitiakoudis Michael , Kesisoglou Isaak , Sapalidis Konstantinos
Published: April 2024

Introduction: Tertiary hyperparathyroidism develops in patients who have secondary hyperparathyroidism that persists despite successful kidney transplantation or in patients who are on chronic dialysis.

Aim: This study aims to present a comparison of surgical treatments of tertiary hyperparathyroidism.

Materials and methods: A systematic review of studies published in English that reported on the surgical management of tertiary hyperparathyroidism was conducted using PubMed databases in accordance with the PRISMA guidelines. Two authors independently reviewed the full text of potentially selectable articles and selected appropriate studies. Surgical treatment options were evaluated.

Results: This review contains thirteen relevant studies. The treatments recommended by the studies included limited parathyroidectomy, subtotal parathyroidectomy, total parathyroidectomy with autotransplantation, and total parathyroidectomy without autotransplantation. The choice of the appropriate surgical technique demands individualization of the treatment and depends mainly on the experience of the surgeon.

Conclusion: The predominant treatment options appear to be subtotal parathyroidectomy and total parathyroidectomy with autotransplantation.
New record of Gracilaria phuquocensis (Gracilariaceae, Rhodophyta) in the Philippines
Authors: Dumilag Richard V. , Liao Lawrence M. , Kato Aki , Brodie Juliet , Muangmai Narongrit
Published: April 2024

While reliance on morphology has been at the expense of clearly distinguishing gracilarioid species, molecular data have proven to be more reliable in discriminating between taxa. Gracilaria phuquocensis was originally described, based on materials collected from Vietnam. Since it was described in 2020, there have been no further reports of this species. Meanwhile, a question has been raised as to whether the identity of a rhodophyte gracilarioid alga collected from the Philippines that has been referred to as an unidentified species of Gracilaria, could be G. phuquocensis. Based on comparative morpho-anatomical features and a molecular phylogeny based on rbcL gene sequences, establishing the identity of the Philippine material has led to the finding of the new record of G. phuquocensis outside its type locality. In addition to the discovery of G. phuquocensis in the Philippines, the species here is also identified as a newly-reported host for the adelphoparasite resembling Gracilaria babae.
Do work-life balance measures influence the performance of Spanish listed companies?
Authors: Calzón-Menéndez Faustino Manuel , Sacristán-Navarro Maria , Cabeza-García Laura
Published: April 2024

Purpose: This paper analyses the effect on economic profitability of the adoption of work-life balance practices.Design/Methodology/Approach: Based on a sample of Spanish listed companies during the period 2015-2019, the aim was to contrast the effect of a work-life balance index on economic profitability.Findings: The regression analysis clustered at firm level, shows a positive and significant effect of the index on economic profitability, suggesting that companies' practices to achieve a work-life balance can be a source of motivation for their human resources.Originality/Value: Investigating the consequences of work-life balance practices at company level not at individual level and, performing a longitudinal study as opposed to cross-sectional studies, more frequent in the literature. Adding evidence in a Continental European country, Spain, as opposed to previous studies carried out mainly in Anglo-Saxon countries so like considering the work-life balances actually used by listed firms in the Spanish market.
Post-Exam Wrappers: A Tool for Critical Reflection
Authors: Chin Emily G. , Schroers Ginger , Gonzalez Laura , Hauser Lise , Lazala Olga , Yi Yeyin
Published: April 2024

Background

Post-exam review sessions that reveal a completed exam to students can be time-consuming and ineffective. Additionally, the review may jeopardize exam integrity by exposing the individual items.

Method

To promote critical reflection, an exam wrapper, without the return of a completed exam, was implemented. Students were encouraged to take deeper ownership of learning and be active in the process of exam review.

Results

Most students strongly agreed or agreed that they adjusted their study strategies based on their self-reflection (68.5%) or on the instructor feedback (66.7%) provided through the wrapper. All faculty stated the process of using wrappers was much more or more valuable and efficient, compared to prior post-exam feedback methods.

Conclusion

Using an exam wrapper as a stand-alone, post-exam debrief, students assume a more proactive role by reflecting on individual exam preparation and learning strategies without the return of a completed exam.

[
J Nurs Educ
. 2025;64(1):48–51.]
Efficient spectral collocation method for nonlinear systems of fractional pantograph delay differential equations
Authors: Zaky M. A. , Babatin M. , Hammad M. , Akgül A. , Hendy A. S.
Published: April 2024

Caputo-Hadamard-type fractional calculus involves the logarithmic function of an arbitrary exponent as its convolutional kernel, which causes challenges in numerical approximations. In this paper, we construct and analyze a spectral collocation approach using mapped Jacobi functions as basis functions and construct an efficient algorithm to solve systems of fractional pantograph delay differential equations involving Caputo-Hadamard fractional derivatives. What we study is the error estimates of the derived method. In addition, we tabulate numerical results to support our theoretical analysis.
Nonlinear contractions on directed graphs with applications to boundary value problems
Authors: Filali Doaa , Akram Mohammad , Dilshad Mohammad
Published: April 2024

This article contains some outcomes on fixed points for a graph preserving nonlinear contraction in a metric space endued with a transitive directed graph. Our results improved, enriched, and subsumed various known fixed point theorems. To argue for reliability of our results, we presented two examples. We concluded the manuscript to investigate a unique solution of a certain first-order boundary value problem by means of our results.
Exploring Employee Retention in the Era of Industry 5.0
Authors: Kumar Amit , Thakur Tanisha , Azad Yashpal , Kaur Anupriya , Sandhu Shaweta
Published: April 2024

This study investigated the factors affecting employee retention in the Indian automobile industry in the era of Industry 5.0, including the factors such as organizational culture and climate, reward recognition and pay, leadership style and quality, job security, work-life balance, training and development, autonomy, promotions, and career growth. The convenience sampling technique was used to collect data from 141 employees of selected automobile companies using a self-administered questionnaire. The data were analyzed by employing multiple regression and multivariate analysis of variance (MANOVA). The findings of the study revealed that all the selected factors significantly affect employee retention. Training and development is the most influencing factor affecting employee retention in the Indian automobile industry. Additionally, the demographic variables taken in this study have demonstrated differential effects in context of the factors affecting employee retention. This study has also offered insights to automobile industry on Industry 5.0 interventions for employee retention.
Unveiling and Mapping the Human Resource Technologies and Industry 5.0
Authors: A. Rajagopalan , C. Vijayabanu
Published: April 2024

Industries play a huge role in economic development. However, changes are due to the launch of modern technologies and the increasing complexity of new products, and it manufactures directly to the workers. Advanced technologies like artificial intelligence characterize the launch of Industry 5.0 which are useful in redesigning human resource technologies. The chapter helps to know about the technologies that improve HR processes and decision-making. The study consists of various technologies applied in human resource management to Industry 5.0 and its focus area. Then introduction to the concepts and technologies of this new 5.0 in HRM has evolved from different era. The convergence of this 5.0 is an increasing trend. There are many new and innovative methods to enhance the technologies. The chapter aims to understand the importance of applying technologies to various HR practices and it will be an eye-opener for students, research scholars, consultants, and practitioners based on various secondary sources and company practices.
The Role of ITS Systems on Sustainable Urban Logistics and Transport (SULT)
Authors: Aydin Metin Mutlu
Published: April 2024

The increasing world population due to developing technology and other opportunities causes serious problems. In particular, serious increases in people's transportation demands due to the increasing population cause significant problems in freight and public transportation in cities. In the last two decades, especially with the significant increase in technology, people have entered into new interactions in transportation with the new opportunities provided by these facilities. Again, evolving economic conditions and technological developments have significantly increased people's demands for both access from one place to another and access to the product. In particular, with the new transportation and transportation concept created by COVID-19, people's desire to access products using a transportation system has triggered the emergence of many new and original solutions in the sector. For this reason, planners and decision-makers have started to use intelligent transportation systems (ITS) effectively to solve this problem quickly and safely.
Social Logic of Space, Public Transport Accessibility, and Urban Logistics Interaction in Refugee Dense Districts of Izmir
Authors: Görgülü Çağla , Görgülü Lale
Published: April 2024

Refugees are an important issue in terms of the socioeconomic aspects of sustainable urban logistics. Uncertainties in their population sizes, places of residence and work make transportation decisions difficult. This chapter aims to examine access to public transportation and predict potential human movement in the refugee-dense districts of İzmir, which is the 8th city with the highest Syrian population in Türkiye. In this chapter, Syrians are considered refugees due to mass-forced displacement and social conditions. Using space syntax methods, segregated or integrated areas were identified, and the accessibility was measured by network analysis. Spatial configurations were evaluated based on population size and land use. Considering the size of the refugee population, the social logic of space is understood more realistically. Comprehensive strategies are needed for reducing spatial segregation and social exclusion of refugees, including land use planning, public spaces, and transportation services. Additionally, it is important to consider urban logistics ethics in this process.
Designing Sustainable Transport Centers
Authors: Ülkü Gözde Kan
Published: April 2024

'Speed' and therefore 'movement', which emerged as one of the important problems of the age, have entered our lives as concepts imposed on urban dwellers, especially by metropolises. Places such as transfer centers and stations constitute the nodes of this movement. As we have witnessed the pandemic era, mobility became a critical topic. We had to think about numerous measures that support rebuilding with green, sustainable approaches to be healthier. From traffic-free zones to pedestrian areas to implementing cycling and walking schemes have became the major concerned issues to allow people to move around urban spaces more safely and sustainably. The study aims to discuss the applications of a UNStudio approach for designing infrastructural projects in Netherlands (Arnhem Central Station, Hardt Hyperloop) and Izmir Metropolitan Municipality's approach for Evka-3 Social Center and Transfer Station Architectural Project Competition and Transportation Master Plan for the city of İzmir.
From the Edge of Extinction to International Acclaim
Authors: Austin William J.
Published: April 2024

Warren County Community College emerged from the edge of extinction when the board made the decision to hire 33-year-old first time president Dr. William Austin. Twenty years later and after many national and international accolades, the same board (different members) not only convinced a now much older and wiser president to continue his work but gave him the rest, resources, and unwavering support that many other leaders can only dream of in their career. While the road was certainly not easy, he had to first win back the support of the community while building financial reserves, he kept his most precious goal near and dear to his heart: student success. The community support and financial stability allowed for a reorganization that focused on students. The college emerged from COVID stronger and now has the programs, resources, and staff in place to meet the challenge of an increasingly technological world.
A Vibrant Community for All
Authors: White Marisa Vernon , Dryden Jonathan N.
Published: April 2024

Lorain County Community College (LCCC) is known as a trailblazing institution focused on access, equity, and student success. But behind its national recognition as a leader in community college transformation, LCCC's local roots run deep, and its community's trust has cultivated a unique leadership culture based on mission, stewardship, and spirit of innovation. Located in Northeast Ohio, the region is a manufacturing, invention, and makers' hub on the shores of Lake Erie, and the characteristics of the region are reflected in LCCC's approach to transformation. Embracing the college's role in advancing economic vibrancy, college leadership promotes design thinking, learning through iteration, and future-focused planning at all levels. Beyond its early adoption of guided pathways, LCCC overall functions as a research hub, seeding through experimentation and quickly scaling effective initiatives. As a trusted asset in the region, LCCC's unique culture reflects an unwavering commitment to community collaboration and transformational change designed to impact generations to come.
Culture Leads to Transformational Student, Employee, and Community Success
Authors: Rivas Robert , Jones Brian
Published: April 2024

Never let a good crisis go to waste. The headlines read, “Odessa Community College will close.” This headline was on every news station and media outlet after the Texas state legislature released a list of colleges that would not be funded, due to poor outcomes and budget constraints. This was 2011 during the Great Recession when tough funding decisions were being made across the nation. In Texas, specifically the Permian Basin, Dr. Gregory D. Williams, was faced with horrendous news. This was Dr. Williams second presidency and just four years into his administration at Odessa College. It was at a pivotal moment in the history of the college, a watershed moment that would determine the trajectory of Odessa College for the next few decades to come.
The Evolution of a Successful International Education Program at a Community College
Authors: Kahn Jack , Pardanani Samira
Published: April 2024

This chapter documents the history of International Education at Shoreline Community College. Rather than capturing every detail, the chapter intends to highlight major leadership themes that have contributed to the success of the program for over fifty years. Fifty years of history is organized through several periods where leadership themes are highlighted. The conclusion of the chapter integrates these themes in a summary to argue for an overall evolving leadership strategy for community colleges. These themes are argued to be applicable for various projects to assist community colleges in developing and transforming institutions to better meet the needs of a diverse community and student body.
Introduction to Data Processing
Authors: Yada Abhinay
Published: April 2024

In the digital age, data has become a cornerstone of modern society, driving decision-making processes across industries and sectors. As such, understanding the fundamentals of data processing and modeling is crucial for professionals in various fields, from business analytics to artificial intelligence development. This chapter serves as an introductory guide to these essential concepts. The chapter begins by elucidating the significance of data processing in today's information-driven world. It explores the evolution of data processing techniques, from traditional batch processing to real-time data streams, highlighting the challenges and opportunities presented by each paradigm shift. Subsequently, the focus shifts to data modeling, a fundamental aspect of structuring and organizing data for analysis and interpretation. The chapter delves into the principles of data modeling, elucidating concepts such as entities, attributes, relationships, and normalization.
Optimizing With Intelligence
Authors: Kolasani Saydulu
Published: April 2024

As the realms of artificial intelligence (AI) and machine learning (ML) continue to redefine our technological landscape, this chapter embarks on a comprehensive exploration of how these cutting-edge algorithms can be harnessed to address real-world challenges. The chapter unfolds with a foundational understanding of AI and ML, providing readers with insights into the core principles that drive intelligent optimization. From there, it navigates through a diverse array of real-world applications, illuminating how AI and ML algorithms optimize processes in fields such as finance, healthcare, marketing, and more. The chapter goes beyond theoretical frameworks, offering practical insights into the implementation of these algorithms. Through illustrative examples and case studies, readers witness the transformative impact of intelligent optimization on decision-making processes, efficiency improvements, and the overall advancement of various industries.
Green and Sustainable Supply Chain in Agriculture 6.0
Authors: Movahed Aminmasoud Bakhshi , Movahed Ali Bakhshi , Aliahmadi Bentolhoda , Nozari Hamed
Published: April 2024

The agriculture industry has experienced new developments due to the world's population increasing and the lack of food. For this reason, farmland management is done by artificial intelligence and the internet of things with the aim of agriculture industry smartization. Quantity and quality product improvement, energy consumption optimization, reducing emissions, and reducing the number of workers in the production process are the results of advanced industrialization in agriculture. In this regard, the production of healthy and sustainable food seems vital, because nutritional health is one of the lofty goals of the modern industrial revolution. Supply chain cycle improvement of the agriculture industry to increase sustainability and environmental security is one of the concepts that will be important in Industry 6.0.
The Dimensions and Components of Marketing 5.0
Authors: Nozari Hamed , Chobar Adel Pourghader
Published: April 2024

In today's era, businesses are mixed with technologies. Industry 4.0 added the presence of roaming technologies with the power of extracting, analyzing, and fast data calculations to businesses. Therefore, the data with high transparency and accuracy increased the performance power of the marketing department and adopted powerful strategies. In the fifth generation of the emerging industry, in addition to analytical power, stability, resilience, and human-centeredness, the capabilities of transformative technologies have also been added. For this reason, marketing by refining the data that comes from the actions of humans, multiplied intelligence. Examining this ability in smart Marketing 5.0 will have tremendous effects on the entire supply chain and the value chain of organizations. Therefore, this research has tried to examine the dimensions and components of fifth-generation marketing. In this regard, an analytical framework is also provided for the smart marketing system. This framework has been approved by some active experts in the field of marketing.
ANN Model for Predicting the Natural Disaster
Authors: A. Gobinath , P. Rajeswari , M. Anandan , N. Suresh Kumar
Published: April 2024

Natural disasters have been an enduring and formidable challenge throughout human history, causing widespread devastation to communities and ecosystems. The significance of predicting these events lies in the ability to mitigate their impact on human lives, infrastructure, and the environment. Timely and accurate prediction empowers communities to take proactive measures, enabling better preparedness, response, and recovery. In the absence of such forecasting capabilities, the toll of natural disasters can be catastrophic, leading to loss of life, displacement of populations, and economic setbacks. Therefore, the development of predictive models, such as artificial neural networks (ANNs) and other data-driven approaches, is pivotal in addressing the escalating threats posed by natural disasters.
Predicting Rainfall by Fuzzy Logic
Authors: Santos-Reyes Jaime , Garcia-Pimentel Yunue
Published: April 2024

Water is vital to all living things; water is life. According to the UNDP water scarcity affects more than two billion people and it is projected to rise as temperatures do due to climate change. The chapter presents some preliminary results of rainfall prediction for the case of Mexico City by considering two input variables, temperature (T) and wind speed (WS). A fuzzy logic rule-based approach was employed in the analysis. The presented fuzzy logic model has the potential not only to predict rainfall but also drought. Moreover, it has also been highlighted that it becomes necessary to address droughts by designing and implementing drought disaster management systems to mitigate the impact of such events. Therefore, rainfall prediction, as an early warning, plays a key role in designing measures to achieve this. More generally, it is hoped that approaches such as the presented herein may contribute to a better understanding and management of water to mitigate the impacts of droughts in regions, cities, communities prone to the hazard.
Prediction of Earthquakes, Volcanic Eruptions, Tornadoes, Wildfires, and Droughts Through Artificial Intelligence
Authors: P. Selvakumar , G. Vijayakumar , P. Vigneshkumar , M. S. Umamaheswari , C. Selvamurugan , P. Satheesh kumar
Published: April 2024

The growing economic and organizational relevance of artificial intelligence has garnered a lot of attention in the past ten years. Through the use of processing algorithms that are especially pertinent in emergency, extreme weather, and disaster relief operation situations, artificial intelligence's information processing capabilities assist in converting inputs. Assessing and meeting the needs of people trapped in catastrophes may take longer under older, manual approaches. Furthermore, the typical hierarchical structure approach takes longer to repair infrastructure, leaving those affected exposed. AI can, however, assist in reducing and repairing damage by more precisely and efficiently allocating resources because of its fast and accurate processing capabilities. Artificial intelligence (AI) can help rescue workers evaluate requirements and deliver supplies to various locations more swiftly and accurately.
Wearable Sensor and AI Algorithm Integration for Enhanced Natural Disaster Preparedness and Response
Authors: A. Gobinath , P. Rajeswari , N. Suresh Kumar , M. Anandan
Published: April 2024

This chapter explores the innovative fusion of wearable sensor technologies and artificial intelligence (AI) algorithms in the context of natural disaster preparedness and response. Wearable sensors, designed to be seamlessly integrated into clothing or accessories, offer a dynamic and personal approach to monitoring individuals in disaster-prone areas. Coupled with advanced AI algorithms, these sensors empower individuals and authorities with real-time data, early warning capabilities, and personalized assistance during critical events. The chapter begins by examining the functionalities of wearable sensors specifically engineered for disaster scenarios. These sensors include biometric monitors measuring vital signs such as heart rate, body temperature, and respiratory rate. Additionally, environmental sensors incorporated into wearables detect changes in air quality, temperature, and humidity, providing a comprehensive understanding of immediate surroundings. The integration of AI algorithms into wearable sensor systems is a central focus of this chapter.
A Novel Approach on IoT-Based Natural Disaster Prediction and Early Warning Systems (EWS)
Authors: Pathinettampadian Karthikeyan , N. Nagarani , S. Shivani Suvatheka , A. Al Mohamed Bilal
Published: April 2024

Natural disasters cause significant damage and human losses, emphasizing the need for predictive systems and efficient warning mechanisms. Exploring the potential of an internet of things (IoT)-driven early warning system (EWS) is crucial for detecting and notifying individuals about diverse disasters like earthquakes, floods, tsunamis, and landslides. In a disaster, the device transmits data to the microcontroller, where it undergoes validation and processing using ML algorithms to predict disaster possibilities. Data from edge nodes reaches the cloud via a gateway, with fog nodes filtering and accessing it. After verification, persistent alarming weather conditions trigger a warning alert, conveyed promptly to individuals in disaster-prone regions through diverse communication channels. An IoT-based open-source application with a user-friendly interface continuously monitors parameters like water intensity and rainfall during floods, and ground vibrations for earthquakes. Alerts are generated when parameters exceed set thresholds, providing a cost-effective disaster detection solution with timely alerts to vulnerable communities.