bluuebunny/crossref_metadata_2025 huggingface dataset:
PENERAPAN SISTEM AKUNTANSI DASAR SEBAGAI SARANA DALAM PENYUSUNAN LAPORAN KEUANGAN DI BJ-X AGEN PURWOHARJO
Authors: Wardani Pramita Sukma
Published: January 2024

Pengiriman Barang ke luar negeri “BJ-X” Agen Purwoharjo merupakan salah satu agen pengiriman barang ke luar negeri yang berada di Kabupaten Banyuwangi.  Pendirian bermula atas permasalahan tidak adanya agen pengiriman barang ke luar negeri di kecamatan tersebut. Atas permasalahan itu, akhirnya tercetus untuk mengelola dan berkerjasama dengan BJ-X yang berpusat di Malang agar tenaga kerja di Indonesia dapat dengan mudah mengirimkan barang ke keluarga dan sebaliknya. Namun, Pencatatan setiap transaksi di BJ-X agen Purwoharjo masih menggunakan cara manual setiap minggunya. Hal ini di karenakan masih minimnya literasi tentang akuntansi sebagai dasar penyusunan laporan keuangan serta resi yang diberikan pihak pengiriman kepada konsumen masih manual. Oleh sebab itu, pengabdi pada kesempatan ini akan melakukan pelatihan dan pendampingan bagi BJ-X agen Purwoharjo agar dapat membuat laporan keuangan secara benar, terutama dalam hal penerapan sistem akuntansi dasar dan pelaporan keuangan.
STRATEGI INOVASI PRODUK DIVERSIFIKASI UNTUK MENCIPTAKAN KEUNIKAN DALAM BRANDING UMKM DI DESA TUNDAGAN
Authors: Andini Risa Nur , Muldan Dadan , Marpuah Ismi , Yusup Andika Maulana , Melani Nia , Giselawati Yesi , Agustin Aulia Magfiro , Komalasari Siti , Fadia Reza Aqilla , Rohmati Islah , Chantiago Bryan Firstio , Nurjaman Jajang , Andrean Diky , Sulaeman Ibnu
Published: January 2024

Gula aren merupakan salah satu produk lokal yang dihasilkan oleh UMKM di Desa Tundagan, Kecamatan Hantara, Kabupaten Kuningan. Dalam menjalankan usahanya, UMKM ini masih menghadapi permasalahan, yaitu bidang produksi dan pengemasan produk. KKN STKIP Muhammadiyah Kuningan melakukan kegiatan Pengabdian kepada Masyarakat yang bertujuan untuk memperbaiki dan meningkatkan produksi serta pengemasan produk. metode kualitatif dan observasi secara langsung serta wawancara yang dilakukan kepada pelaku UMKM gula aren Desa Tundagan. Data dikumpulkan dan dianalisis dengan pendekatan deskriptif kualitatif. Hasil pengabdian menunjukkan bahwa produk gula aren mendapatkan respon dan penjualan yang sangat signifikat dengan adanya inovasi baru dalam segi kemasan yang diubah sedemikian sehingga dibuat lebih menarik. Dengan pengemasan ini gula aren dapat dipasarkan ke berbagai wilayah. Hasil pengabdian, juga menunjukan terjadinya peningkatan permintaan dari wilayah di luar lokasi produksi. Hal ini menunjukkan bahwa gula aren memiliki potensi untuk dikembangkan lebih lanjut dan memerlukan dukungan sisi pemasaran secara online.
PELATIHAN DAN PENDAMPINGAN PENCIPTAAN GERAK TARI SEDERHANA BERBASIS DIGITAL BAGI GURU SEKOLAH DASAR
Authors: Mariati Pance , Nafiah  , Hartatik Sri , Sunanto  , Alistiana Lisa
Published: January 2024

Pengabdian kepada masyarakat ini bertujuan untuk memberikan pelatihan dan pendampingan kepada guru-guru Sekolah Dasar dalam penggunaan teknologi digital untuk menciptakan gerak tari yang menarik dan edukatif. Melalui serangkaian pelatihan dan pendampingan, para guru akan dibekali dengan pengetahuan dan keterampilan dalam mengintegrasikan elemen-elemen tari dengan teknologi digital, termasuk penggunaan aplikasi dan perangkat lunak khusus. Selain itu, mereka juga akan diajarkan cara memilih musik, mengarahkan siswa, dan mengedit hasil karya mereka. Metode yang akan diterapkan dalam kegiatan pengabdian kepada masyarakat ini adalah pelatihan dan pendampingan dengan peserta pelatihan yakni guru-guru Sekolah Dasar. Tahapan pelaksanaan meliputi Pra Kegiatan, Rapat Strategi Pelaksanaan, Pelaksanaan Kegiatan, dan Evaluasi Kegiatan. Berdasarkan hasil evaluasi, menunjukkan bahwa setelah mengikuti pelatihan dan pendampingan ini, guru-guru Sekolah Dasar mampu menciptakan gerak tari sederhana berbasis digital yang lebih menarik dan bermakna. Selain itu, mereka juga melaporkan peningkatan motivasi belajar siswa dalam bidang seni tari. Pengabdian ini menjadi bukti konkret bahwa pengintegrasian teknologi digital dalam pendidikan seni dapat memberikan dampak positif bagi proses pembelajaran di tingkat dasar. Oleh karena itu, kegiatan pelatihan dan pendampingan ini tidak hanya memberikan manfaat kepada guru dan siswa saja, akan tetapi juga berkontribusi pada pengembangan pendidikan yang lebih inklusif dan beragam yang akan membawa dampak positif dalam masyarakat dan budaya pendidikan.
IMPLEMENTASI ASPEK-ASPEK KESEHATAN DAN KESELAMATAN KERJA (K3) PERKANTORAN DI INSTANSI X
Authors: Tisna Nur Sri
Published: January 2024

Kesehatan dan Keselamatan Kerja (K3) Perkantoran penting untuk diterapkan karena kantor memiliki potensi bahaya dan risiko. Penelitian ini bertujuan untuk menganalisis implementasi aspek-aspek Kesehatan dan Keselamatan Kerja (K3) Perkantoran di instansi X. Penelitian ini menggunakan metode kualitatif deskriptif, yaitu mengumpulkan data melalui observasi, analisis dokumen dan wawancara terkait aspek-aspek K3 Perkantoran yaitu Aspek Kebijakan, Keselamatan, Kesehatan, Ergonomi, dan Lingkungan Kerja. Data yang terkumpul dianalisis menggunakan metode triangulasi yaitu membandingkan data hasil observasi dan wawancara dengan standar K3 Perkantoran, serta hasil observasi dibandingkan dengan wawancara dan dokumen yang berkaitan. Data dianalisis melalui tiga tahap, yaitu data reduction, data display, conclusion-drawing, dan dilakukan membercheck. Berdasarkan hasil penelitian bahwa sosialisasi dan penerapan mengenai aspek K3 di instansi X masih belum optimal. Aspek kebijakan terkait K3 yaitu masih pada tahap draft dan belum diterapkan sepenuhnya. Aspek keselamatan, di mana belum dilakukannya pengujian dan pemeliharaan secara berkala terhadap alarm kebakaran dan instalasi penangkal petir.
Modeling Binary Asteroids: Integrating Orbital and Rotational Motion for Physical Property Inversion
Authors: Lu Xiao-Ping , Zhang Yong-Xiong , Zhao Hai-Bin , Zheng Hua , Di Kai-Chang
Published: January 2024

The field of space science places significant emphasis on deep space exploration, with a particular focus on asteroids as a potential hazard to humanity. Inverting their physical characteristics from photometric observations is essential for uncovering their origins and evolution. This article attempts to present a solution to the challenging task of estimating the physical properties of binary asteroids, which are common in near-Earth asteroids larger than 200 meters. A novel model for binary asteroids is proposed, which integrates orbital and rotational motions to simulate brightness variations based on two Cellinoid shapes. The model combines the projection and occultation effects of the shapes to generate the simulated brightness. The inversion of determining physical properties is optimized based on the Levenberg–Marquardt algorithm through a simulation process involving several parameter corrections. Finally, the performance of the proposed model is demonstrated through numerical experiments and applications to two real binary asteroids, namely, asteroid (317) Roxane and asteroid (624) Hektor. The derived results are nearly identical to those from other publications, which confirms that the proposed model provides reliable and accurate estimations of the physical properties of binary asteroids. Additionally, this method has a potential application in supporting the development of effective strategies for the Double Asteroid Redirection Test (DART) project, the first planetary defense experiment in space undertaken by humans.
First Systematic Study Reporting the Changes in Eclipse Cutoff Frequency for Pulsar J1544+4937
Authors: Kumari Sangita , Bhattacharyya Bhaswati , Sharan Rahul , Kansabanik Devojyoti , Stappers Benjamin , Roy Jayanta
Published: January 2024

We present results from long-term monitoring of frequency-dependent eclipses of the radio emission from PSR J1544+4937, which is a black widow spider millisecond pulsar (MSP) in a compact binary system. The majority of such systems often exhibit relatively long-duration radio eclipses caused by ablated material from their companion stars. With the wide spectral bandwidth of the upgraded Giant Metrewave Radio Telescope, we present the first systematic study of temporal variation of eclipse cutoff frequency. With decade-long monitoring of 39 eclipses for PSR J1544+4937, we notice significant changes in the observed cutoff frequency ranging from 343 ± 7 to ≥740 MHz. We also monitored changes in eclipse cutoff frequency on timescales of tens of days and observed a maximum change of ≥315 MHz between observations that were separated by 22 days. In addition, we observed a change of ∼47 MHz in eclipse cutoff frequency between adjacent orbits, i.e., on timescales of ∼2.9 hr. We infer that such changes in the eclipse cutoff frequency depict an eclipse environment for the PSR J1544+4937 system that is dynamically evolving, where, along with the change in electron density, the magnetic field could also be varying. We also report a significant correlation between the eclipse cutoff frequency and the mass-loss rate of the companion. This study provides the first direct evidence of mass-loss rate affecting the frequency-dependent eclipsing in a spider MSP.
Early Growth of the Star Formation Rate Function in the Epoch of Reionization: An Approach with Rest-frame Optical Emissions
Authors: Asada Yoshihisa , Ohta Kouji
Published: January 2024

We present a star formation rate function (SFRF) at z ∼ 6 based on star formation rates (SFRs) derived by spectral energy distribution fitting on data from rest-frame UV to optical wavelengths of galaxies in the CANDELS GOODS-South and North fields. The resulting SFRF shows an excess compared to the previous estimations by using rest-frame UV luminosity functions (LFs) corrected for the dust attenuation and is comparable to that estimated from a far-infrared LF. This suggests that the number density of dust-obscured intensively star-forming galaxies at z ∼ 6 has been underestimated in the previous approach based only on rest-frame UV observations. We parameterize the SFRF using the Schechter function and obtain the best-fit parameter of the characteristic SFR (SFR*) when the faint-end slope and characteristic number density are fixed. The best-fit SFR* at z ∼ 6 is comparable to that at z ∼ 2, when the cosmic star formation activity reaches its peak. Together with SFRF estimations with a similar approach using rest-frame UV to optical data, the SFR* is roughly constant from z ∼ 2 to ∼6 and may decrease above z ∼ 6. Since the SFR* is sensitive to the high-SFR end of the SFRF, this evolution of SFR* suggests that the high-SFR end of the SFRF grows rapidly during the epoch of reionization and reaches a similar level observed at z ∼ 2.
The Radial Interplanetary Field Strength at Sunspot Minimum as Polar Field Proxy and Solar Cycle Predictor
Authors: Wang Y.-M.
Published: January 2024

The minimum value of the geomagnetic aa index has served as a remarkably successful predictor of solar cycle amplitude. This value is reached near or just after sunspot minimum, when both the near-Earth solar wind speed and interplanetary magnetic field (IMF) strength fall to their lowest values. At this time, the heliospheric current sheet is flattened toward the heliographic equator and the dominant source of the IMF is the Sun’s axial dipole moment, which, in turn, has its source in the polar fields. As recognized previously, the success of

aa

min

as solar cycle precursor provides support for dynamo models in which the sunspots of a given cycle are produced by winding up the poloidal field built up during the previous cycle. Because they are highly concentrated toward the poles by the surface meridional flow, the polar fields are difficult to measure reliably. Here we point out that the observed value of the radial IMF strength at solar minimum can be used to constrain the polar field measurements, and that this parameter, which is directly proportional to the Sun’s axial dipole strength, may be an even better solar cycle predictor than geomagnetic activity.
The Gravitational Wave AfterglowPy Analysis (GWAPA) webtool
Authors: Eyles-Ferris R. A. J. , van Eerten H. , Troja E. , O’Brien P. T.
Published: January 2024

We present the first release of the Gravitational Wave AfterglowPy Analysis (GWAPA) webtool (Available at https://gwapa.web.roma2.infn.it/). GWAPA is designed to provide the community with an interactive tool for rapid analysis of gravitational wave afterglow counterparts and can be extended to the general case of gamma-ray burst afterglows seen at different angles. It is based on the afterglowpy package and allows users to upload observational data and vary afterglow parameters to infer the properties of the explosion. Multiple jet structures, including top hat, Gaussian and power laws, in addition to a spherical outflow model are implemented. A Python script for MCMC fitting is also available to download, with initial guesses taken from GWAPA.
Ultraviolet and Blue Optical Imaging of UVCANDELS
Authors: Wang Xin , Teplitz Harry I. , Sun Lei , Rafelski Marc , Grogin Norman , Prichard Laura , Sunnquist Ben , Alavi Anahita , Windhorst Rogier A. , Koekemoer Anton M. , Ashcraft Teresa , Bagley Micaela , Baronchelli Ivano , Barro Guillermo , Blanche Alex , Brammer Gabriel , Broussard Adam , Carleton Timothy , Chartab Nima , Cheng Yingjie , Codoreanu Alex , Cohen Seth , Colbert James , Conselice Christopher , Dai Y. Sophia , Darvish Behnam , Davé Romeel , DeGroot Laura , De Mello Duilia , Dickinson Mark , Emami Najmeh , Ferguson Henry , Ferreira Leonardo , Finkelstein Keely , Finkelstein Steven , Gardner Jonathan P. , Gawiser Eric , Gburek Timothy , Giavalisco Mauro , Grazian Andrea , Gronwall Caryl , Guo Yicheng , Arrabal Haro Pablo , Hathi Nimish P. , Hayes Matthew , Hemmati Shoubaneh , Howell Justin , Iyer Kartheik , Jansen Rolf A. , Ji Zhiyuan , Kaviraj Sugata , Kurczynski Peter , Lazar Ilin , Lucas Ray A. , MacKenty John , Mehta Vihang , Mantha Kameswara Bharadwaj , Martin Alec , Martin Garreth , McCabe Tyler , Mobasher Bahram , Nedkova Kalina V. , O’Connell Robert , Olsen Charlotte , Otteson Lillian , Ravindranath Swara , Redshaw Caleb , Robertson Brant , Rutkowski Michael , Sattari Zahra , Scarlata Claudia , Siana Brian , Smith Brent M. , Soto Emmaris , Vanzella Eros , Yung L. Y. Aaron , Zabelle Bonnabelle
Published: January 2024

The UltraViolet Imaging of the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey Fields (UVCANDELS) survey provided ultraviolet F275W imaging with coordinated parallel optical F435W imaging in four of the five CANDELS fields: GOODS-N, GOODS-S, EGS, and COSMOS, covering a total area of ∼426 arcmin2. UVCANDELS takes primary WFC3/UVIS F275W exposures at a uniform 3-orbit depth and ACS F435W exposures (in parallel) at slightly varying depth due to the roll angle constraints and the overlap from the increased field of view of the ACS camera, reaching a limiting magnitude of ∼27 and ∼28 ABmag (5σ in 0.″2 apertures) for F275W and F435W, respectively. We present the results of the UVCANDELS observations, custom calibrations, and the creation of F275W and F435W imaging mosaics, which have been made publicly available on the Barbara A. Mikulski Archive for Space Telescopes.
The invasive blue crab Callinectes sapidus Rathbun, 1896 (Decapoda, Portunidae) is rapidly expanding its distributional range in the north-western Mediterranean coast of Morocco
Authors: Hamiche Fatima Zahra , Aksissou Mustapha
Published: January 2024

In this study, we report the first occurrence of Callinectes sapidus in the rivers of ‘Oued Tani’ (Martil) and ‘Oued Negro’ (Fnideq), based on 127 individuals of the blue crab caught from November 2022 to August 2023. Additionally, we were able to determine the potential consequences of C. sapidus on the indigenous species as well as the socioeconomic implications on artisanal fisheries activities. This research highlights further data that reinforces recent findings on recorded blue crab from various locations along the Moroccan coastline.
Parasitoid flies (Diptera, Tachinidae) in true crickets (Orthoptera, Grylloidea): New host records from Brazil, identification key to parasitoids, and revision of host-parasitoid interactions
Authors: Gudin Filipe Macedo , Campos Lucas Denadai de , Redü Darlan Rutz , de Mello Francisco de Assis Ganeo
Published: January 2024

True crickets (Orthoptera, Grylloidea) are often parasitized by tachinid flies (Diptera, Tachinidae). However, the diversity of these parasitoids and their oviposition strategies remain unclear. Although some flies are specialized in locating crickets by their calling songs, such as the phonotactic fly Ormia ochracea (Bigot, 1889), a large portion of the tachinids that attack true crickets show different host search strategies and are adapted to parasitize other orthopteroid insects as well. However, these parasitoids have a complex and challenging taxonomy that precludes further improvement in the understanding of Tachinidae-Orthoptera interactions. Here, we described and illustrated seven new host records in Gryllidae and Phalangopsidae species from Brazil, including notes on the diagnostic characters of each parasitoid and host. An illustrated identification key to Tachinidae genera recorded in Grylloidea is also provided. Finally, all published records of Tachinidae parasitism in true crickets were revised and are presented in an annotated catalog in order to understand the host range and different oviposition strategies of each parasitoid lineage.
Exploring content-based group recommendation for suggesting restaurants in Havana City
Authors: Pérez-Almaguer Yilena , Carballo-Cruz Edianny , Caballero-Mota Yailé , Yera Raciel
Published: January 2024

Recommender systems (RSs) are a relevant kind of artificial intelligence-based systems focused on providing users with the information that best fit their preferences and needs in a search space overloaded of possible options. Specifically, group recommender systems (GRSs) are a special type of RS centered on recommending items that are consumed in groups and not individually, being TV program and touristic packages key examples of such items. The current work is focused on proposing a content-based group recommendation approach (CB-GRS) contextualized to the restaurant recommendation domain. In contrast to previous content-based group recommendation models, the proposal incorporates novel stages such as restaurants feature imputation, the generation of a virtual group profile, the use of feature weighting, and the automatic selection of the most appropriate aggregation approach for composing group recommendations. The proposal is evaluated in an original recommendation scenario, related to restaurant from Havana City in Cuba, where several restaurant attributes are identified for applying the proposed CB-GRS approach. The experimental protocol evaluates individually each component of the proposal, evidencing their importance as part of the whole framework. Furthermore, the comparison with previous works has been also developed. The proposed approach can be applied in other recommendation scenarios, and in addition, the developed experimental protocol is generalizable for the evaluation of further content-based individual and group recommendation approaches in the tourism domain.
Investigation of the effect of different additives on the qualities, in vitro degradation, and rumen fermentation profile of indigo waste silage
Authors: Gunun Nirawan , Kaewpila Chatchai , Khota Waroon , Gunun Pongsatorn
Published: January 2024

Natural indigo dye production produces indigo waste as a by-product. Our purpose of this study was to examine the effects of calcium hydroxide (Ca(OH)2), cellulase (CE), molasses (MO), and their combinations on the silage quality, in vitro degradability, and rumen fermentation parameters of indigo waste silage. A completely randomized design (CRD) was used for the experiment. Indigo waste was chopped and ensiled in a small-scale silo with no additive (control), Ca(OH)2, MO, CE, Ca(OH)2:MO, Ca(OH)2:CE, MO:CE, and MO:CE:Ca(OH)2. After 30 days of storage, the silages were tested for quality and chemical composition, as well as an in vitro fermentation. The ruminal fluid inoculum was collected from two beef cattle with a body weight (BW) of 200±10 kg, and the inoculum had been pre-heated before being transported to the laboratory. Silage with MO, CE, or their combination increased the amount of lactic acid (p < 0.01). The silage pH was lowest in MO:CE (4.5) and was highest in Ca(OH)2:CE (10.6) in indigo waste (p < 0.01). In comparison to the control (19.5% CP), the CP content of all additives increased by 20.7% to 21.5% (p = 0.02). The addition of Ca(OH)2:MO and Ca(OH)2:CE resulted in a reduction of NDF content by 60.7% and 59.4%, respectively, in comparison to the control group (72.4%) (p < 0.01). Silage with additives had no effect on the cumulative gas production or gas kinetics, except that the constant rate of gas production for the insoluble fraction (c) was higher in MO (p = 0.03). In vitro dry matter degradability (IVDMD) was higher in CE and MO and highest in MO:CE-treated silage (p < 0.01). The in vitro organic matter degradability (IVOMD) increased in Ca(OH)2:MO compared with the control (p = 0.03). The additives alone or in their two combinations in silage reduced the ruminal ammonia-nitrogen (NH3-N) concentration (28.0 to 31.5 mg/dL) when compared to the control (32.7 mg/dL) (p < 0.01). In addition, the highest total volatile fatty acid (VFA) level was found in the silage of the MO (92.9 mmol/L) compared with the control (71.3 mmol/l) (p < 0.01). The proportion of propionic acid and butyric acid increased (p < 0.01) whereas acetic acid decreased (p < 0.01) in the rumen of silage with MO and CE. In summary, the addition of MO and CE has the potential to be used in the silage of indigo waste.
The defined contribution pension plan after retirement under the criterion of a revised loss considering the economic situation
Authors: Sun Zongqi , Yang Peng , Wu Jing , Fan Yunpeng
Published: January 2024

Considering the economic situation, we investigate the optimal asset allocation of defined contribution pension funds with random payouts after retirement under a modified criterion of quadratic loss. The HJB equation is derived adhering to the dynamic programming principle, and the time-consistent optimal investment strategy is designed based on the calculus theory. Finally, under two different risk attitudes, namely surplus preference and risk aversion, the impact of key parameters on the optimal investment strategy and the function of minimum loss at the initial moment is compared and analyzed, the economic significance is demonstrated, and the rationality of the model is verified.
A state-dependent impulsive system with ratio-dependent action threshold for investigating SIR model
Authors: Li Yongfeng , Huang Song , Xiang Zhongyi
Published: January 2024

In general, there is an imperative to amalgamate timely interventions and comprehensive measures for the efficacious control of infectious diseases. The deployment of such measures is intricately tied to the system's state and its transmission rate, presenting formidable challenges for stability and bifurcation analyses. In our pursuit of devising qualitative techniques for infectious disease analysis, we introduced a model that incorporates state-dependent transmission interventions. Through the introduction of state-dependent control, characterized by a non-linear action threshold contingent upon the combination of susceptible population density and its rate of change, we employ analytical methods to scrutinize various facets of the model. This encompasses addressing the existence, stability, and bifurcation phenomena concerning disease-free periodic solutions (DFPS). The analysis of the established Poincaré map leads us to the conclusion that DFPS indeed exists and maintains stability under specific conditions. Significantly, we have formulated a distinctive single-parameter family of discrete mappings, leveraging the bifurcation theorems of discrete maps to dissect the transcritical bifurcations around DFPS with respect to parameters such as $ ET $ and $ \eta_{1} $. Under particular conditions, these phenomena may give rise to effects like backward bifurcation and bistability. Through the analytical methodologies developed in this study, our objective is to unveil a more comprehensive understanding of infectious disease models and their potential relevance across diverse domains.
The sum of a hybrid arithmetic function over a sparse sequence
Authors: Liu Huafeng , Liu Rui
Published: January 2024

Let $ \lambda_{f}(n) $ be the $ n $-th normalized Fourier coefficient of $ f $, which is a primitive holomorphic cusp form of even integral weight $ k\geq2 $ for the full modular group $ SL_2(\mathbb{Z}) $. Let also $ \sigma(n) $ and $ \phi(n) $ be the sum-of-divisors function and the Euler totient function, respectively. In this paper, we are able to establish the asymptotic formula of the sum of the hybrid arithmetic function $ \lambda_{f}^{l}(n)\sigma^{c}(n)\phi^{d}(n) $ over the sparse sequence $ \{n: n = a^2+b^2\} $, namely, $ \sum_{n\leq x} \lambda_{f}^{l}(n)\sigma^{c}(n)\phi^{d}(n)r_2(n) $ for $ 1\leq l\leq 8 $, where $ x $ is a sufficiently large real number, the function $ r_2(n) $ denotes the number of representations of $ n $ as $ n = a^2 + b^2 $, $ a, b, l\in \mathbb{Z} $ and $ c, d \in \mathbb{R} $.
MDKLoss: Medicine domain knowledge loss for skin lesion recognition
Authors: Zhang Li , Xiao Xiangling , Wen Ju , Li Huihui
Published: January 2024

Methods based on deep learning have shown good advantages in skin lesion recognition. However, the diversity of lesion shapes and the influence of noise disturbances such as hair, bubbles, and markers leads to large intra-class differences and small inter-class similarities, which existing methods have not yet effectively resolved. In addition, most existing methods enhance the performance of skin lesion recognition by improving deep learning models without considering the guidance of medical knowledge of skin lesions. In this paper, we innovatively construct feature associations between different lesions using medical knowledge, and design a medical domain knowledge loss function (MDKLoss) based on these associations. By expanding the gap between samples of various lesion categories, MDKLoss enhances the capacity of deep learning models to differentiate between different lesions and consequently boosts classification performance. Extensive experiments on ISIC2018 and ISIC2019 datasets show that the proposed method achieves a maximum of 91.6% and 87.6% accuracy. Furthermore, compared with existing state-of-the-art loss functions, the proposed method demonstrates its effectiveness, universality, and superiority.
Compassion-Based Training for Cultivating Well-Being and Building Resilience in Online Adjunct Faculty
Authors: Rahmat Mindith R.
Published: January 2024

Adjunct faculty are a growing population in higher education, making up over half of all faculty in some institutions. However, adjunct faculty often face a number of challenges that can negatively impact their well-being, including low pay, lack of benefits, and limited job security. Online adjunct faculty face the additional stressors of technological innovations, remote isolation, institutional othering, and disconnection. The well-being of adjunct faculty is essential to the success of academic institutions and student learning. This chapter provides a template for key stakeholders to implement compassion-based professional development programs in online educational environments, cultivating well-being and fostering resilience among adjunct faculty.
Emotional Intelligence and Online Learning
Authors: Walker-Andrews Laura M.
Published: January 2024

This chapter will focus on emotional intelligence (EI) and its role in online education, as well as its utilization by adjunct instructors to more fully engage adult learners. An outline of the components of EI, how to gain EI, and the benefits of EI in online instruction will be shared, as well as a discussion of current issues in online education, including artificial intelligence (AI). The author will share specific EI skills and techniques for adjunct instructors to understand learners, communicate effectively, enhance student engagement, and present tangible content. Meaningful strategies to improve the connection between the instructor and the student in the online environment, as well as overall student course engagement, will be delineated. Adjunct instructors can significantly benefit from understanding and effectively using EI in online instruction, and in turn, provide a unique and holistic experience to adult learners.
Exploring the Role of Technology in Enhancing Adult Education and Skills Development in Urban Areas of South Africa
Authors: Monyai Reginald Botshabeng
Published: January 2024

This study investigates how technology can be used to better educate and train adults in South African cities. It takes a look at how digital tools like e-learning platforms, mobile apps, and online resources might help meet the specific needs of older students in metropolitan areas while also providing them with new options. To fully grasp how technology affects the results of adult education, this chapter explores the literature, analyses case studies, and uses qualitative research methods. This study's findings add to the existing body of information and can be used to better tailor adult education programmes to the needs of urban South Africans by those responsible for their development and implementation.
Professional Development and Adjunct Perspectives
Authors: Jackson Nikkita , Harris Karleah , Trauth Jonathan
Published: January 2024

This chapter shows the importance of professional development and why educators, specifically online adjuncts, must participate in ongoing professional development to improve their pedagogical skills. This chapter will highlight the importance of professional development, the challenges of online adjuncts, the styles of professional development, and why professional development is necessary for adjunct faculty. Therefore, universities and institutions can use professional development to support online adjuncts in their role further and ensure they are prepared to teach students successfully. Professional development is proven to streamline information to faculty and ensure they understand the expectations of their role and the university's requirements. Online adjuncts are a particular faculty group that requires more support because they tend to be off-campus and not entrenched in the university's culture. Therefore, professional development can keep adjuncts current and increase a sense of belonging to the university.
Seismic Shifts in the Online Learning Environment in Higher Education
Authors: Davis Clifford
Published: January 2024

Significant shifts have occurred in higher education over the last two decades. The number of online courses colleges and universities offer has been increasing exponentially. Notably, addressing the increasing number of students enrolling in these online programs has heightened the need for more adjunct instructors teaching in online learning environments. To promote student success in these virtual environments, colleges and universities recognize the necessity of providing support such as professional development to online adjunct instructors. This chapter provides an overview of how higher education institutions can help adjunct instructors succeed in these virtual learning environments while improving student experiences and academic outcomes. Additionally, this chapter presents recommendations for adjunct instructors regarding how to teach successfully in nontraditional classroom environments.
Structural Empowerment
Authors: Sprute Katie MacDonald , Underdown Kimber O.
Published: January 2024

Higher education has been transformed by access to online degree programs, with millions of students across various academic levels taking courses online. The increase in online enrollment has also led to an increase in the use of geographically dispersed adjunct faculty. Extant literature shows that online adjunct faculty experience feelings of isolation, and want a stronger sense of collegiality and community with their full-time counterparts. This chapter presents the theoretical foundation of Kanter's structural empowerment (1993) as a framework for use in the context in higher education that can empower online adjunct faculty. A case study is presented on how this framework was implemented at one institution and could be replicated in other institutions to support online adjunct faculty.
Environment Education Through Experiential Learning
Authors: Bamrara Atul , Bamrara Poonam
Published: January 2024

Environmental education (EE) has become an essential component of the curriculum from primary to higher education. It connects the students to the world around us, making them aware about both natural and built environments. It heaves awareness of issues impacting the environment upon which we all depend, as well as actions we can take to improve and sustain it. Environmental education has a lot of advantages to students, teachers, schools, and the society as a whole. The curriculum attempts to incorporate the components of environmental education either in language, science, mathematics, or a complete subject as well. The teachers can deliver such knowledge by bringing nature into the classroom, take students outside to learn, or find impromptu teachable moments on an eco-trail. The present study explores the awareness level of students using new ecological paradigm (NEP) scale after and before implementation of an EE program. Further, it differentiates their environmental awareness with respect to their demography.
Exploring Sustainability Education in the Business Schools of Australian Branch Campuses in Malaysia
Authors: Fung Chorng Yuan , Heng Kiat Sing , Sim Chia Hua
Published: January 2024

Over the past decade, sustainability education has been an essential subject that many universities have infused into their curricula. However, no research has analysed the infusion of sustainability education in the curriculum. Such knowledge is essential for educators and policy-makers to develop relevant and contemporary curricula to produce future-ready graduates. This chapter is closing this gap by tracing sustainability education in the business schools of two Australian university branch campuses in Malaysia. An exploratory case study approach was used. The unit course details have been analysed thematically according to sustainability education literature. It was discovered that most keywords were found in the core and capstone units across a three-year bachelor's degree but with a higher emphasis on year-one units. This finding suggests that building the fundamentals of sustainability education from year one is essential.
Integration of Conservation Studies in Library and Information Science Curriculum in the Eastern and Southern African Region
Authors: Segaetsho Thatayaone
Published: January 2024

Despite the eloquent strives to improve education in library and information sciences, the insidious challenges in preservation and conservation education and training continue to traumatize the world, especially in Africa. This chapter weaves together literature on preservation and conservation curriculum in library and information sciences education in the Eastern and Southern Africa Regional Branch of the International Council of Archives (ESARBICA) member states. The chapter then explores the challenges observed and proposes a sustainable framework for integrating conservation in the preservation curriculum in library and information studies education. The chapter concludes by offering recommendations for improvement.
Using Mother Tongue in Teaching of STEM for Sustainable Development in Zimbabwe
Authors: Chakabwata William
Published: January 2024

This chapter submits that the teaching of science, technology, engineering, and mathematics (STEM) is perceived as one of the key to the economic development of Africa. Africa is grappling with the challenge of economic development, and strengthening the teaching of STEM across the curriculum can have a positive effect on the continent. The chapter submits that teaching STEM in a foreign language hinders the sustainable development and the opportunity for learners to acquire knowledge in mother tongue and also to innovate in critical areas that are desperately needed in Zimbabwe as they spent a lot of time learning English in STEM at the expense of acquiring scientific knowledge. The chapter advocates the use of tranlanguaging and multilingualism in order to improve student performance in the teaching of STEM.
Smart Contracts for Enhanced Water Resource Management
Authors: Kanimozhi P. , Jayasri A. R. , Ananth Kumar T. , Arunmozhiselvi S.
Published: January 2024

Water management is critical for long-term development and the preservation of essential natural resources. Traditional water management strategies are becoming increasingly ineffective in dealing with developing water shortages and the need for efficient resource allocation. The incorporation of smart contracts, which are supported by blockchain technology, presents a viable answer for reshaping water management techniques. When combined with internet of things (IoT) devices that give real-time data on water use, quality, and environmental conditions, a powerful alliance is formed that has the potential to alter traditional water management practices. The concept of smart contracts self-executing agreements with established rules that trigger automatic activities upon the fulfillment of specific criteria lies at the heart of this fusion. The use of blockchain technology has emerged as a disruptive option to alleviate water scarcity and ensure equal distribution in the goal of sustainable water management.
IFML-Based Graphical User Interfaces Generated From BPMN up to PSM Level
Authors: Sajji Abir , Rhazali Yassine , Hadi Youssef
Published: January 2024

The model-driven architecture (MDA) approach revolves around the development of multiple models, including the computation independent model (CIM), the platform independent model (PIM), and the platform specific model (PSM). Web applications have gained popularity for their capabilities. To address the need for robust user interfaces independent of technical details, the interaction flow modeling language (IFML) was introduced. This study focuses on model transformations within MDA, specifically from CIM to PSM via PIM. Metamodels for BPMN and IFML were created using Eclipse, and shift rules were applied with ATL. Webratio, an IFML implementation tool, was used to generate GUIs. A case study on after-sales service with CRUD features demonstrated the practical application of MDA. This research enhances understanding of MDA in web application development, enabling developers to create user-friendly interfaces. It serves as a valuable resource for software engineering professionals, providing insights into MDA's practical implementation and impact on web application development.
Efficient Parking Solutions Powered by IoT and Transportation Integration
Authors: Jothy N. , James Komala , Subhashini N. , Mariselvam A. K.
Published: January 2024

In the modern era, the issue of vehicle parking has become a significant concern in substantial investments. The conventional approach of locating available parking spaces by manually searching through multiple lanes has proven to be both time-consuming and labor-intensive. Furthermore, it requires parking safely and securely, eliminating the risk of being towed, and at a reduced cost. To tackle this challenge, a cutting-edge parking control system has been developed. This system incorporates secure devices, parking control gates, time and attendance machines, and car counting systems. These features play a crucial role in ensuring the safety of parked vehicles and effectively managing the fee structure for every vehicle's entry and exit. By leveraging IoT-powered technologies, it simplifies the process of locating available parking spaces by providing real-time information, reducing the manual effort required. With IoT, parking management is revolutionized, offering drivers a seamless and secure parking experience while optimizing operational efficiency for parking operators.
Design of a Real-Time-Integrated System Based on Stereovision and YOLOv5 to Detect Objects
Authors: Rachidi Oumayma , Chafik Ed-Dahmani , Bououlid Badr
Published: January 2024

Real-time object detection represents a major part in the development of advanced driver assistance systems (ADAS). Pedestrian detection has become one of the most important tasks in the field of object detection due to the increasing number of road accidents. This study concerns the design and implementation of a Raspberry Pi 4-based embedded stereovision system to detect 80 object classes including persons and estimate 3D distance for traffic safety. Stereo camera calibration and deep learning algorithms are discussed. The study shows the system's design and a custom stereo camera designed and built using 3D printer as well as the implementation of YOLOv5s in the Raspberry Pi 4. The object detector is trained on the context object detection task (COCO) 2020 dataset and was tested using one of the two cameras. The Raspberry Pi displays a live video including bounding boxes and the number of frames per second (FPS).
Literature Review on the Study of Non-Qualities of a Product Using Neural Networks
Authors: Zaizoune Marouane , Herrou Brahim , Khadiri Hassan , Sekkat Souhail
Published: January 2024

The purpose of this study is to use the neural networks method in order to build a neural network system that studies and determines the cause of non-conformities. Companies are regularly confronted with quality problems stemming both from assembly mistakes and also during upstream stages in the process, like design, logistics, technical, and industrial support. These problems would sometimes reach the end customer inducing huge losses for the companies in term of costs and reputation. Therefore, an improvement of non-conformities detection systems as well as the identification of their causes is necessary, which is the purpose of this chapter. First, per the authors, this chapter discusses non-conformities in the industrial field and the management of quality problems. Then, the neural networks method is presented, as well as a review in its recent development and its applications. As a result, the steps to building the neural network system to study non-conformity causes are defined and described.
Educational Theories Related to Early Schooling Systems
Authors: Langa Claudiu , Lazar Adriana Nicoleta
Published: January 2024

In an analytical approach, this chapter analyzes the educational paradigms and pedagogical premises of early education, which reinforce and support that the education and protection of early childhood favors individual development. The core of these approaches is the promotion and practice of a child-centered education, which contributes to healthy physical and mental development, and to the solid social and emotional development of the future adult. In this chapter, several dimensions outlined by the educational paradigms regarding early education will be analyzed, highlighting at the same time the open character of the approaches towards scientific research and later educational theories. The authors believe that some conceptual delineations regarding early education are useful, at least as a summary sequence to provide a basis for the arguments presented. The need for early intervention in child development has not been contested, but the support from some pedagogical theories completes the objectives assumed by educational policies.
Guiding Psycho-Pedagogical Landmarks in Preschooler Understanding and Assessment
Authors: Tudorache Gina Florentina , Stan Angela
Published: January 2024

The foundational premise that a preschooler represents a universe to discover underscores the profound significance of comprehending the young child. This chapter, recognizing the manifold benefits derived from understanding the very young child, presents a varied inventory of psychopedagogical methods intended to guide educators in the discovery and evaluation of the children with whom they engage. The methods highlighted include observation, conversation, medical history, analysis of preschoolers' activity products, sociometric tests, with a particular emphasis on children's drawings, and projective tests (such as the human figure test, the tree test, the house test, and the family test). Each method is delineated to provide an overarching image through a description that encompasses multiple dimensions, including specificity, advantages and limitations, and examples of application in working with preschoolers.
Projective Techniques Used in Children's Assessment
Authors: Claudia Mihai Elena
Published: January 2024

Educators, researchers, and psychologists often find themselves in situations where they must assess the causes of children's many unwanted or unusual behaviors to take the appropriate intervention measures. Especially at an early age, psychometric tests cannot offer accurate or detailed answers in order to clarify all the questions. This is due to the lack of or reduced possibility of the children to investigate themselves or analyze their reactions. Their responses to various situations are habitually emotional, not rational. Because of these considerations, the investigative approach becomes difficult and also the therapeutic intervention. Projective techniques, although they do not replace standardized tests, are proving their utility, especially in this situation. This chapter aims to describe the importance of using projective techniques in children's assessment. It also explains the particularity of these techniques and presents a few illustrative case studies – the use of the Rorschach test in the psychological assessment of children.
Psycho-Pedagogical and Methodological Premises Specific to Learning English at Preschool Age
Authors: Suditu Mihaela , Badea Mihaela
Published: January 2024

There has always been a special interest in learning foreign languages. It is recommended to start the learning process as early as possible. It can also be added the knowledge and compliance with pedagogical requirements - the use of interactive teaching-learning methods, the identification and/or development of appropriate didactic resources with the role of facilitating and stimulating language acquisitions, other than those involving writing and reading, the teacher's ability to provide the most suitable contexts for children, with an anchor role for learning English. The authors intend to address the issue of learning English from preschool age through the analytical presentation of several areas of interest: early education frameworks and psycho-pedagogical principles, explanatory pedagogical mechanisms and theories of learning at preschool age, applications for learning foreign languages, specific didactic strategies and resources for learning English in preschool, and applications for learning English at preschool age: examples, proposals, suggestions.
Representations of Child/Childhood in the Romanian Context
Authors: Ghiță Iulia Adelina , Stan Angela
Published: January 2024

The aim of this chapter is to draw attention to the necessity and importance of educators becoming aware of the role that their representations of children and childhood play in the effectiveness and quality of the instructional-educational process. These variables are often unfairly neglected. Progressing gradually through the presentation of elements related to general characteristics, functions, and structure of social representations, all particularized to the type of representations of interest here, the chapter continues with a brief overview of how the child and childhood have been perceived over time, attempting to outline a historical and cultural perspective on how these concepts have evolved. As a natural consequence, the chapter then highlights specific aspects related to representations of the child/ childhood in the Romanian context and the final part present the potential implications of exploring representations of children and childhood in the training of future educators.