bluuebunny/crossref_metadata_2025 huggingface dataset:
What causes reticence in publicly correcting false information online? A case study from the Philippines
Authors: Asprer Jessica , Escalante Eleanor Marie , Opiniano Jeremaiah
Published: February 2025

News audiences on social media succumb to filtering systems to navigate the overabundance of information. However, filtering systems get bolstered by echo chambers, increasing social media polarization, especially when false information hinders better-informed viewpoints. Reticence, though understudied, has the ability to hamper the spread of factual information. Hence, this study aims to investigate why social media users showcase reticence toward publicly correcting false information on their feeds, and how this disposition can affect ideological polarization. Eight interviews were conducted through criterion-based and referral sampling methods, and the resulting transcripts were analyzed through a combination of inductive and deductive approaches. Findings showed that reticence is driven by three interrelated factors: relational, proximal, and cognitive and emotional. This study contributes to the almost-forgotten research theme of reticence in communication and journalism studies, showing why such behavior and its considerations inadvertently contribute to polarization on social media.
Book Review Digital Fever: Taming the Big Business of Disinformation, by Bernhard Poerksen
Authors: Toader Florența
Published: February 2025

The book titled Digital Fever: Taming the Big Business of Disinformation, written by Bernard Poerksen offers a critical analysis of the many crises public discourse faces in the digital age. In addressing the shifting media landscape heavily influenced by the advent of social media, the book reflects on trends like digital disinformation, emotional manipulation, or the erosion of traditional media gatekeepers. Poerksen is a media theorist, who teaches Media studies at the University of Tu¨bingen, and whose works on the new media age have largely been appreciated in Germany.
Isolation, purification and identification of cyanobacterium Tolypothrix sp. KJE1
Authors:   Banaras Hindu University, Jalaludin Jalaludin , Gupta Rajan Kumar ,   Banaras Hindu University
Published: February 2025

A cyanobacterial strain, KJE1, was isolated from rice fields of Banaras Hindu University, Varanasi, during the monsoon of 2019. Morphological analysis and 16S rRNA phylogenetic studies identified it as Tolypothrix sp., known for nitrogen fixation. The partial 16S rRNA gene sequence (1283 bps) was submitted to NCBI (Accession Number OP353555). This study underscores Tolypothrix’s role in sustainable agriculture, contributing to soil fertility and reducing dependency on synthetic fertilizers, with potential applications in biofertilization.
Unraveling clay-mineral genesis and climate change on Earth and Mars using machine learning-based VNIR spectral modeling
Authors: Zhao Lulu , Deng Anbei , Hong Hanlie , Zhao Jiannan , Algeo Thomas J. , Liu Fuxing , Luozhui Nanmujia , Fang Qian
Published: February 2025

Clay minerals are common in martian geological units and are globally widespread on Earth. Understanding the origin, formation, and alteration of clay minerals is crucial for unraveling past environmental conditions on Earth and Mars, in which the composition and crystallinity of clay minerals serve as important surrogate indicators for addressing these issues. Here, 621 soil and sediment samples from five chronosequences representing different climatic zones of China were investigated using visible to near-infrared reflectance (VNIR) in combination with X-ray diffraction (XRD) analysis. The crystallinity of clay minerals (i.e., illite crystallinity, illite chemistry index, kaolinite crystallinity) and clay mineral alteration index (CMAI) were analyzed with conventional methods and then predicted through a spectral modeling approach. Our results show that kaolinite with a pedogenic or sedimentary origin is characterized by a broad crystallinity range and a poorly ordered structure, especially when generated in an intense weathering environment. Predictive models were constructed with data-mining methods, including partial least-squares regression (PLSR), random forest (RF), and Cubist algorithms. The predictive performance of the crystallinity and CMAI proxies is robust, with an overall accuracy of 78% and a residual prediction deviation (RPD) of 2.57. We also found that the model’s accuracy in predicting clay-mineral-related proxies increased by 45% using random forest (RF) and Cubist compared to the PLSR models. We suggest that VNIR spectroscopy combined with RF and Cubist methods has the potential to be an alternative and broadly applicable tool for analyzing typical clay-mineral proxies, substituting for a series of common mineralogic analyses. Spectral modeling can reveal genetic and climatic information at both field and regional scales, which has profound implications for Mars missions and other space exploration programs.
Gowerite, Ca[B5O8(OH)][B(OH)3]·3H2O: Revisiting the crystal structure and exploring its formation context
Authors: Kyono Atsushi , Yamaguchi Kosuke
Published: February 2025

Investigations into the crystal structure of gowerite are limited, and a comprehensive understanding of the H positions is lacking. Hence, in this study, we synthesized single crystals of gowerite under hydrothermal conditions and obtained reliable single-crystal X-ray diffraction data to determine the H positions, thereby facilitating elucidation of the structural characteristics and formation environment of gowerite. The crystal structure of synthetic gowerite, Ca[B5O8(OH)][B(OH)3]·3H2O, is monoclinic with unit-cell parameters: a = 12.872(4), b = 16.326(4), c = 6.5634(18) Å, and β = 121.319(3)°, and volume V = 1178.3(6) Å3. The crystal symmetry corresponds to the space group P21/a; the unit cell contains four formula units (Z = 4). The structure is refined via full-matrix least-squares on F2 to a final R1 index of 4.13% for 1730 unique observed [Fo ≥ 4σ(Fo)] reflections, measured with MoKα radiation. The locations of the H atoms are identified on the difference Fourier maps and refined considering constraints on O-H distances together with interatomic distances between the H atoms. The crystal structure is characterized by a curved, corrugated, two-dimensional sheet in the a-c plane, composed of double three-membered borate rings and Ca atoms coordinated to six O atoms from the double three-membered rings. The Ca atom is further coordinated to a H2O molecule, and an isolated B(OH)3 triangle is oriented approximately perpendicular to the sheets. Hydrogen-bonding interactions solely govern the linkages between the sheets. Consequently, three H2O groups are accommodated in the spaces between the sheets. An important feature of gowerite is that within the triangle geometry, the B-O bond length between the B atom and the hydroxyl group cannot be clearly distinguished from that between the B and O atoms. Ab initio quantum chemical calculations reveal that the molecular orbitals are spatially well spread over the three-membered borate ring, indicating that the B atoms are connected to the O atoms through covalent bonding. During the secondary mineralization process, the structural units of the fundamental building blocks (FBBs) are released from parent borate minerals, such as colemanite, priceite, and hydroboracite, by mineral weathering and inherited by the FBBs in gowerite. In addressing gaps in the existing literature, this study provides further information on the crystal structure and structural characteristics of gowerite, shedding light on its possible formation environment and growth conditions.
Characteristics of the distribution of minerals among the space groups
Authors: Drummond Carl N. , Sarpong Princess N.
Published: February 2025

The RRUFF online database (a project by Robert Downs, University of Arizona) catalogs the occurrence of point and space group symmetries of over 4800 of the nearly 6000 currently accepted mineral species. Of these, over 90% are monomorphic, while the remaining species have been recognized to be polymorphic. To avoid issues of reliability and inconsistency of characterization, the 4499 monomorphic minerals are the subject of this analysis. It has long been recognized that minerals are non-uniformly distributed among the space groups as well as their corresponding point groups and crystal systems. However, this non-uniformity is not non-systematic. A random distribution of minerals among the space groups would result in an average of about 20 species per group. In fact, the observed distribution of minerals is highly skewed. Analysis of the frequency distribution of minerals among the space groups reveals three distinct populations: those without currently known monomorphic species (52), those sparsely populated by minerals that exhibit an exponential distribution of species abundances (170), and those most populous space groups (8) that are differentiated from the others by an inflection in the slope of the species frequency distribution. Additionally, a series of relationships have been identified, and they collectively characterize crystallographic controls on and resultant distributions of mineral occurrence. First, there is a strong preference across all crystal systems for minerals to exhibit structures associated with the holohedral space groups relative to those pedial groups of the lowest symmetry. Second, mineral species exhibit a strong preference for the Laue class space groups over their paired Sohncke groups. Furthermore, it is recognized that the space groups that make up the 11 enantiomorphic pairs are either sparsely populated or devoid of known mineral species. Third, the centering types of the Bravais lattices and structures defined by the Wyckoff multiplicities of the various space groups are recognized to strongly influence the distribution of mineral species such that more structurally and symmetrically complex space groups (those with non-primitive lattice structures) tend to be represented by more minerals. Fourth, when considering the 73 arithmetic space group classes, in most cases non-symmorphic space groups are more richly populated than their linked symmorphic space groups, and in those cases where both hemisymmorphic and asymmorphic space groups are present in the same arithmetic class, the asymmorphic space groups typically contain more species. Together, these observations and interpretations augment and advance previously achieved understandings of mineral frequency distributions among the point groups and imply four future lines of inquiry: extending consideration to polymorphic species as well as relating distributions among the space groups to terrestrial mineral species abundance, mineral chemistry, as well as the evolution of mineral chemistry and paragenesis.
The relationship between big data analytics and financial performance in the Vietnamese banking sector
Authors:   Faculty of Business Administration, Ho Chi Minh University of Banking, Ho Chi Minh City, Vietnam, Dang Nhan Truong Thanh , Ha Van Dung ,   Faculty of International Economics, Ho Chi Minh University of Banking, Ho Chi Minh City, Vietnam, Nguyen Van Thu ,   Faculty of International Economics, Ho Chi Minh University of Banking, Ho Chi Minh City, Vietnam
Published: February 2025

The rise of big data has brought both significant advantages and challenges, as nearly all research fields now face large, unpredictable volumes of data at varying speeds. The banking sector, in particular, has gained attention from researchers due to its reliance on data, driven by advancements in computer science. Although big data presents numerous opportunities and challenges across industries, research on this topic in banking remains limited and requires further exploration. To address this gap, this study investigates the relationship between big data analytics (BDA) factors and banks' financial performance, while offering managerial recommendations to improve the use of BDA in managing bank performance. A quantitative research method was applied, using convenience sampling to distribute survey questionnaires to 250 bank employees in Ho Chi Minh City, from junior staff to senior managers. The results indicate that BDA factors, including technological capability, talent capability, and bank capability, have a significant impact on banks' financial performance. This study contributes to raising research awareness on BDA methodologies and provides insights into the relationship between these factors and financial performance.
Emerging Advances in 3-D & 4-D Printing of Polymeric Nanoarchitectures & Multifacet Applications
Authors: Idumah Christopher Igwe , Okoye Ifeanyi Emmanuel , Ikebudu Chioma Joan
Published: February 2025

3-Dimension printing (3-DPT) or additive manufacturing (AM) technology has been utilized for a while in the construction of customized 3-D objects utilizing computer software such as computer-aided design (CAD). However, the emergence of an innovative and new four-dimensional printing (4-DPT) has enabled the synergy of AM technology with programmable materials in transforming digital processes virtually into physical entities, thereby providing innovation and advanced functionalities. 4-DPT is a procedure facilitating 3-DPT components to undergo programming in order to enable the transformation of their shape with time on exposure to external stimuli such as physical stimuli, including light-responsivity, chemical responsivity, magnetic/electrical responsivity, pH response, thermo-sensitive as well as biological stimulation such as biomolecular responsivity. The inherent difference between 3-DPT and 4-DPT is premised on the shape-changing material (SCM) utilized during manufacturing, depicting the advanced material exhibiting the specified changes in responsivity to external parameters. Therefore, this elucidation presents emerging 4-DPT technology in manufacturing polymeric nanoarchitectures and applications. Furthermore, insight into 4-DPT techniques, including extrusion, direct ink writing (DIW), fused filament fabrication (FFF), and vat photo-polymerization strategies (digital light processing (DLP), stereo-lithography (SLA), and multi-photon polymerization (MPP), are also presented.
Academic procrastination and its relationship to neurotic perfectionism among university students
Authors: Muhammed Nazanin Othman
Published: February 2025

This study explores the relationship between academic procrastination and neurotic perfectionism on a sample consisting of (200) male and female students from the University of Sulaymaniyah, as well as identifying the differences in the level of both academic procrastination and neurotic perfectionism among the research sample according to the variables: (social gender, academic stage, academic specialization, And the place of residence. The descriptive correlational approach was used, and the academic procrastination measure of Abu Ghazal (2012) was applied. The researcher prepared a measure for neurotic perfectionism consisting of (22) items and applied it to the sample after extracting the validity, and reliability. The results showed the following: - There was a low level of academic procrastination and a high level of neurotic perfectionist tendencies among the research sample. The results also showed that there were no statistically significant differences on the academic procrastination scale due to the variables (gender, academic major, place of residence), but there were statistically significant differences on the academic procrastination scale due to the variables (the academic stage in favor of the third stage), and significant differences were found. Statistics on the neurotic perfectionism scale are due to the variables (gender in favor of students, academic stage in favor of the third stage, specialization in favor of scientific specialization, and place of residence in favor of students living with their families). Finally, a significant positive correlation was found between academic procrastination and neurotic perfectionism among students at Sulaymaniyah University. In light of these results, the researcher presented some recommendations and proposals.
Skin of color representation in publicly accessible patient related health materials: An analysis of leading dermatology organizations (Preprint)
Authors: Adebiyi Olumayowa , Revan Dominique , Pei Susan
Published: February 2025

BACKGROUND

In recent years, there has been evidence of inadequate representation of skin of color (SOC) in dermatology resources. This inadequate representation of SOC may lead to underdiagnosis or misdiagnosis by clinicians. In addition, there is anecdotal evidence of lack of SOC representation in patient oriented educational materials, leading to patient frustration and delayed or missed diagnoses.

OBJECTIVE

Analysis of SOC representation in images used for publicly available patient dermatology educational resources from four prominent dermatology organizations between April and November 2023: the American Academy of Dermatology (AAD), American Osteopathic College of Dermatology (AOCD), the Society for Pediatric Dermatology (SPD), and the Skin Cancer Foundation (SCF).

METHODS

To analyze available images on each organization’s website search terms such as "handouts," "pamphlets," "educational material," "educational brochure," and "patient educational material were searched. We determined whether images depicted clinicians and/or patients in stock photography, and/or images of clinical dermatoses. Each image was then identified in terms of Fitzpatrick skin type I-VI.

RESULTS

Only two (AAD and AOCD) out of the four organizations depicted an array of clinical dermatoses images (Table 1). Out of the 86 clinical dermatoses images from AAD, 64 (74%) represented Fitzpatrick skin types I-III, while 22 (26%) represented skin types IV-VI. Out of the 491 clinical dermatoses images from AOCD, 414 (84%) represented Fitzpatrick skin types I-III, while 77 (16%) represented skin types IV-VI. In addition, AAD's patient educational pamphlet cover pages included stock photography images of clinicians and patients. Among the 35 images analyzed, 7 (20%) featured patients, while 28 (80%) depicted clinicians. Among the 7 patients featured on the cover pages, 4 (57%) represented skin types I-III, while 3 (43%) represented skin types IV-VI. Of the 28 clinicians shown on the cover pages, 13 (46%) represented skin types I-III, while 15 (54%) represented skin types IV-VI.

CONCLUSIONS

There is a lack of diverse representation of SOC in images of clinical dermatoses images used in patient educational materials from dermatologic organizations, including AAD and AOCD. However, there is greater diversity in SOC representation in stock photography of clinicians and patients in AAD patient educational pamphlets. It may be that clinical dermatoses images depicting a range of SOC may not be as readily commercially available for use in patient educational materials when compared to stock photography depicting diverse cast of clinicians and patients. A limitation of our study is that Fitzpatrick skin phototype may not adequately represent ethnic and racial skin diversity. Further effort is needed to ensure diverse SOC representation in patient education materials as this can empower patients to better understand their skin conditions.
Balancing considerations for virtual and in-person mental health treatment options for children and adolescents: A qualitative analysis of client, caregiver, and clinician perspectives. (Preprint)
Authors: Daneff Miriam , Chorney Jill , Clark Sharon E , Emberly Debbie , Carrey Normand , Bagnell Alexa , Blenus Jaime , Campbell Leslie Anne
Published: February 2025

BACKGROUND

Mental health and addictions services increasingly recommend offering both virtual and in-person care modalities. Understanding when virtual care is appropriate requires careful consideration of individual needs and recognition of potential tensions among clients, caregivers, and clinicians to balance varying perspectives and considerations.

OBJECTIVE

To explore how varying perspectives on virtual and in-person mental health care can be balanced to support shared decision-making in child and adolescent mental health and addictions services.

METHODS

We conducted semi-structured interviews with clients, caregivers, clinicians, and staff across child and adolescent mental health and addictions services. We coded data using the Consolidated Framework for Implementation Research (CFIR), and performed thematic analysis to identify core themes, focusing on areas where the perspectives of participants converged or diverged on key aspects of service delivery.

RESULTS

Participants’ perspectives diverged or converged across CFIR and outcome domains in terms of 1) trade-offs between advantages and disadvantages of care modalities, reflecting divergent views on the best choices for different scenarios; 2) the importance of client-centered care, which all participants agreed was essential to service delivery; and 3) equity of access to services, a shared priority across participants groups.

CONCLUSIONS

A transparent, balanced approach in selecting mental health care modalities is necessary to respect and address diverse and sometimes divergent needs of clients, caregivers, and clinicians. Shared decision-making that communicates the therapeutic value of each modality while accommodating accessibility and personal preferences may support equitable, client-centered care.
Researchers and Research Data: Improving and Incentivising Sharing and Archiving
Authors: Ventsel Minna , Montague-Hellen Beth
Published: February 2025

There has been a lot of discussion within the scientific community around the issues of reproducibility in research, with questions being raised about the integrity of research due to failure to reproduce or confirm the findings of some of the studies. Researchers need to adhere to the FAIR (findable, accessible, interoperable, and reusable) principles to contribute to collaborative and open science, but these open data principles can also support reproducibility and issues around ensuring data integrity. This article uses observations and metrics from data sharing and research integrity related activities, undertaken by a Research Integrity and Data Specialist at the Francis Crick Institute, to discuss potential reasons behind a slow uptake of FAIR data practices. We then suggest solutions undertaken at the Francis Crick institute which can be followed by institutes and universities to improve the integrity of research from a data perspective. One major solution discussed is the implementation of a data archive system at the Francis Crick Institute to ensure the integrity of data long term, comply with our funders’ data management requirements, and to safeguard our researchers against any potential research integrity allegations in the future.
In Sharing We Trust. Taking Advantage of a Diverse Consortium to Build a Transparent Data Service in Catalonia
Authors: Llebot Clara , Alcalá Mireia , Anglada i de Ferrer Lluís M.
Published: February 2025

The Consorci de Serveis Universitaris de Catalunya (CSUC) is a consortium that serves 13 universities and 33 research centers in Catalonia and neighboring communities. In 2017 the Consortium created an Open Science department to collaborate with universities and research centers on facilitating the adoption of Open Science requirements. Even though CSUC also offers services to researchers directly (for example, its supercomputing resources), this report will focus on CSUC’s work with its member institutions to create and offer data management services. We will explain how CSUC has led the creation of a robust shared governance system, and how it takes advantage of the diversity of its members to create useful, high quality, and transparent services for all researchers in the Catalan research system. Through sharing each other’s experiences, values and priorities, the result is better than separate ad-hoc solutions. The process also creates a community of practitioners that develop expertise together with the help of professional development opportunities organized by CSUC, like recurrent self-learning labs focused on data curation tools, techniques and processes.
The Environmentally Friendly Practices to Fight Plants’ Diseases: Scope Review
Authors: Al-Rawashdeh Ziad B.
Published: February 2025

Plant diseases reduce the production and affect the food security. The use of synthetic chemicals affects the environment and individual health quality. The environmentally friendly practices were found the solution to minimize the side effects of pesticides and herbicides. This review aims to investigate the impact of environmentally friendly practices on plant disease protection. The results showed that environmentally friendly practices are very effective in controlling plant diseases and the same time reducing the environmental impacts and the individual’s health. These practices were found to be effective in improving the plant product and maximizing the economic profitability of the agricultural practices. These practices will increase the sustainability of the agricultural processes.
Keywords: Environmentally friendly practices, plant diseases, cultural practices, biocontrol practices, economic profitability
Medi-Crypt: Patient Data Management System Using Blockchain
Authors: Mercy Dr. S , M Lavanya Y , Hegde Shreya Ganesh , N Bhanushree N , R Harshith
Published: February 2025

Abstract: In the era of digital healthcare, safeguarding patient data has become a challenge. MediCrypt leverages blockchain
technology to revolutionize the management of medical records, offering a decentralized and tamper-proof system that prioritizes
security, privacy, and accessibility. By integrating robust encryption mechanisms and smart contracts, MediCrypt ensures that
patient information remains confidential while enabling authorized access for healthcare providers. Alongside secure patient
data management, Medi-Crypt integrates insurance features, enabling personalized health coverage and efficient claims
processing. Patients can manage their policies as secure digital tokens, simplifying claim validation and payment settlements via
smart contracts. The system’s architecture promotes interoperability, allowing seamless data exchange across diverse platforms.
Designed with scalability and user empowerment in mind, MediCrypt establishes a new benchmark for efficient and secure
healthcare data management, transforming how sensitive medical information is handled and shared
Optimized High Speed VLSI Implementation of the RSA Algorithm
Authors: Munavalli Nandini V , Naik Pragati Suresh , Hiremath Pranamyadevi V , Biradar Ravikant Shri , N Prema K
Published: February 2025

Abstract: RSA, one of the most widely adopted public-key cryptographic algorithms, ensures secure communication by
leveraging the mathematical properties of modular exponentiation and large prime factorization. However, its computational
complexity and high resource demands pose significant challenges for real-time and high-speed applications. This paper
addresses these challenges by proposing an optimized Very-Large-Scale Integration (VLSI) design for RSA encryption and
decryption, focusing on accelerating the modular exponentiation process, which is the core of RSA computations.
The design incorporates Montgomery Modular Multiplication to eliminate time-intensive division operations, enabling efficient
computation in the modular arithmetic domain. It further integrates techniques such as pipelining, parallel processing, and
carry-save adders to reduce critical path delays and enhance throughput. Modular exponentiation is implemented using a
scalable iterative approach with the square-and-multiply method, optimized for hardware efficiency.
Hardware prototypes were synthesized and tested using FPGA and ASIC platforms, demonstrating superior performance in
terms of speed, area, and power consumption. The proposed architecture achieves high-speed operation while maintaining
security and scalability, making it suitable for real-time cryptographic applications such as secure communication, digital
signatures, and authentication systems. Comparative analysis with existing implementations highlights significant
improvements, establishing the proposed design as a viable solution for next-generation secure hardware accelerators.
An Overview on Commercial Cultivation and Collection Aspects of Wrightia tinctoria
Authors: S Hande Bhushan , D Suryawanshi Akshada
Published: February 2025

Abstract: Since ancient times human utilized the nature to cure various ailments. The knowledge of medicinal plants resulted in
the development of various indigenous systems of medicine worldwide. Serendipitous discovery as well as scientific approach on
the reason for medicinal properties of plants gave the knowledge of chemical constituents such as secondary metabolites in plants.
Wrightia tinctoria which is commonly known as ‘Danthapala’ is a known potential medicinal plant, the leaves of which is
traditionally used in the treatment of psoriasis and non-specific dermatitis in Siddha and Ayurvedic systems of medicine and
distributed in tropical region belongs to the family Apocynaceae. This plant is beneficial for the treatment of dandruff, various
scalp and skin disorders. Phytochemical and pharmacological investigation on the various parts of the plant showed anti-ulcer,
anti-inflammatory, analgesic, anthelmintic, anti-cancer, anti-dandruff, wound healing and anti-anxiety activity. The current
review focus on providing an update on the recent pharmacological and phytochemical investigations on the plant by researchers
around the globe with special emphasis on Antisporiatic, Antifungal, Antibacterial, Antiviral, Cytotoxic, Anti- inflammatory,
Anti-diabetic, Analgesic, Hepatoprotective, Anthelmintic, and Wound healing activities
Financial Performance Measurement and Analysis in Quick Service Restaurant
Authors: Deshmukh Sarthak , Kothavade Neha , Pagar Vedangi , Thakor Harshali , Jagale Prof. R. S.
Published: February 2025

Abstract: This paper presents a comprehensive review of Power BI to analyze the financial and operational performance of a
large fast-food chain in India, specifically in the Quick Service Restaurant (QSR) sector. It starts by explaining the company’s
structure and then focuses on analyzing its financial data, such as financial statements, budgeting, and future projections,
tailored tothe needs of the QSR industry. Key to the analysis is organizing and cleaning data, creating unique product IDs, and
ensuring accuracy for budget comparisons. The project covers in-depth data manipulation and modeling to ensure reliable
insights into key financial metrics, such as revenue and profit. Advanced visualizations, including charts and Pareto analysis,
help present a clear picture of the company’s performance. This research paper offers a detailed approach for using Power BI
in the QSR sector, providing insights for improving business operations and profitability.
Enhancing Roadway Efficiency with GPS Based Toll System
Authors: Gangurde Kalpesh Vilas , Hule Pratik Vilas , Gawali Shivraj Gorakhnath , Akhade Kalyani
Published: February 2025

Abstract: The traditional systems for toll collection are plagued with various problems, including traffic buildup at toll booths,
long waiting time on users, and administrative costs. This research proposes a GPS-Based Toll Collection System that would
help to solve these problems by using better location-based technologies for the automatic tolling of vehicles. This system
consists of a combination of a GPS receiver, a microprocessor, and a battery inside the vehicle. It can track the vehicle's course
in real-time and the position where the vehicle enters or exits the toll road zone is automatically detected and the toll amount
calculated per distance traveled using pre-defined rates or dynamic pricing models.
The user-friendly web interface allows vehicle owners to register their vehicles, maintain a digital wallet, and view transaction
histories. The deducting toll is automatic without the need for any toll booth physical interaction, efficiently accelerating the toll
collection process, thereby causing less traffic congestion, more throughput, and substantial operational cost reduction in staff
and manual handling.
Apart from better user convenience and operational benefits, the automated, highly accurate, and transparent toll collection
system assures equal opportunities for all persons entering the national highways by way of toll. This paper discusses the
architecture of this system, major components, critical challenges faced during its implementation, and its potential impact on
the transport sector. Comparison of the proposed GPS-based system with traditional tolling methods reveals advantages such as
lower maintenance costs, improved scalability, and real-time data processing. It also examines security protocols employed to
ensure data privacy and fraud prevention. Lastly, the study concludes with an account of the proposed improvements and the
possibility of the wide-scale deployment of the system in furtherance of smarter and more sustainable transportation
infrastructure development
THE CRITERIA FOR ZAKAH MANAGER, QUALIFICATION AND ORGANIZATIONAL CULTURE: A REVIEW OF SOME TRADITIONAL LITERATURE
Authors: Hakim Rahmad , Noviyanti Ririn
Published: February 2025

Zakah is one of the pillars of Islam, which aims to be an instrument of equal distribution of income between the rich and the poor. In order to arrange, collect and distribute zakah property, it so called zakah manager ('āmil) who works exclusively to take care of zakah. The command of a person who takes care of zakah is directly stated in the Qur'an (Surat At-Taubah [9]: 60). The role of zakah manager is one of the factors of success in the distribution of opinion in society. This paper aims to discuss in-depth analysis the criteria of zakah manager. This paper is qualitative using documentation method in data collection. It follows that the articles would be classified into four categories namely; the criteria for zakah manager, the appointement for zakah manager and its obligation, the qualification for zakah manager and its organizational culture.
OPTIMIZING ARTIFICIAL INTELLIGENCE IN FIDUCIARY SUPERVISION SYSTEMS IN ACCORDANCE WITH ISLAMIC LEGAL PRINCIPLES
Authors: Wazin  , Maskuroh Nihayatul , Ansori Aan
Published: February 2025

This research explores the optimization of Artificial Intelligence (AI) in fiduciary supervision systems aligned with Islamic law principles. The study is driven by the need for Sharia-compliant institutions to enhance efficiency and ensure adherence to Sharia principles in fiduciary oversight. AI has the potential to expedite analysis and accurately detect fiduciary breaches. The research examines both internal and external factors influencing AI adoption, while also identifying potential benefits and challenges. From an internal perspective, strengths such as operational efficiency and compliance with Sharia principles are predominant, with a total IFAS score of 1.17, indicating that strengths outweigh weaknesses in AI implementation. Externally, factors like government regulatory support for digitalization and the growth of Sharia fintech offer significant opportunities, reflected in an EFAS score of 1.23. However, there are threats to consider, including rapid regulatory changes and potential security risks. Overall, the application of AI in fiduciary supervision, in line with Islamic law principles, can have a positive impact on both conventional and Islamic financial sectors. With an effective implementation strategy, internal and external challenges can be managed, allowing for the optimization of AI technology that aligns with principles of justice and transparency in Islamic law, thereby enhancing accountability and public trust in Sharia compliant institutions.
MODEL FOR FORMER TERRORISM CONVICTS: A LEGAL PERSPECTIVE ON DERADICALISATION LAW IN INDONESIA
Authors: Fakhri  , Fairus  , Jarnawi  , Ramdan Arif , Ibrahim Nur Saady
Published: February 2025

The development of the religious moderation model has been stronger strength and more communicative with integrating former terrorism convicts into Indonesian society. This study aims to explore the promotion of religious moderation and tolerance among former terrorism convicts in Aceh through the principles of wasathiyyah Islam. A qualitative method with an ethnographic approach was employed, allowing researchers to engage directly with former convicts in Aceh during data collection. The findings reveal that all former terrorism convicts in Aceh have successfully reintegrated into society, with no incidents of recidivism in radicalism. Having repented and returned to the Republic of Indonesia, these individuals now exemplify moderate Islamic teachings (wasathiyyah Islam). To advance the religious moderation model within their communities, former terrorism convicts have introduced several initiatives, including peace dialogues, campaigns to counter radicalism, podcasts, book publications, and establishing a peace foundation. Their involvement in promoting religious moderation nationally and internationally is driven solely by humanitarian and economic considerations. The participation of former terrorism convicts in these efforts serves as a valuable model for future educational programs on religious moderation.
Abstrak: Model moderasi beragama belakangan ini semakin menguat dan komunikatif seiring dengan kehadiran komunitas mantan narapidana terorisme di tengah -tengah masyarakat Indonesia. Penelitian ini bertujuanuntuk memperperdalam pengembangan moderasi beragama dan  toleransi mantan narapidana terorisme Aceh melalui ajaran Islam wasathiyyah. Metodologi yang digunakan dalam penelitian ini adalah kualitatif dengan pendekatan etnografi di mana dalam menggali data dan informasi peneliti berinteraksi langsung dengan mantan narapidana di Aceh. Hasil penelitian menunjukkan bahwa seluruh mantan narapidana terorisme Aceh telah berintegrasi dengan masyarakat, bahkan tidak ada satupun mantan napiter Aceh yang mengulangi perbuatan radikalisme. Sebagai mantan napiter yang sudah sadar, taubat dan kembali ke NKRI telah menunjukkan sikap ajaran Islam yang moderat (Islam wasathiyyah). Dalam pengembangan model moderasi beragama di kalangan masyarakat, para mantan narapidana terorisme telah melakukan beberapa inovasi, diantaranya dialog perdamaian, sosialisasi antisipasi radikalisme, podcast, penulisan buku dan membentuk yayasan jalin perdamaian. Keterlibatan mantan narapidana terorisme Aceh, baik tingkat nasional dan internasional semata-mata karena faktor kemanusiaan dan ekonomi. Kehadiran mantan narapidana terorisme dalam pengembangan moderasi beragama menjadi role model edukasi pada masa depan.
Kata Kunci: Model, moderasi beragama, mantan narapidana, terorisme.
TARGETED KILLINGS IN COUNTERTERRORISM: A COMPARATIVE ANALYSIS UNDER INTERNATIONAL LAW AND ISLAMIC JURISPRUDENCE
Authors: Almohawes Mohamad
Published: February 2025

In more recent times, targeted killings of non-state armed groups have become central to the most global counter-terrorism strategies since the US operation leading to the killing of Osama Bin Laden. This paper therefore examines the legality of such operations through comparative perspectives under international law and Islamic law. It uses a comparative approach in analyzing two case studies: the war in Afghanistan and the Pakistan raid, to bring into significant debate on sovereignty breaches and proportionality of using force. Findings show that though targeted killing reduces broader civilian damage, unlike the massive war that results in massive destruction, it still has complex legal and ethical dimensions. This paper concludes that despite the apprehensions of violations of sovereignty, targeted operations can be regarded as a more regulated form of warfare and, potentially, less destructive than a full-scale conflict. According to the right to self-defense and under the principles of choosing the lesser evil and the necessities permits prohibitions, these operations can be argued as legal and justified under international customary rule and Islamic jurisprudence. However, reforming international law to legalize targeted killings of non-state actors, constituting a threat to international peace and security, is needed to prevent tensions between states due to the violation of a state’s sovereignty.
A Transdisciplinary Approach of the Role of Consciousness and Spirituality in Physics and Healing
Authors: Martins Paulo , Matos Luís , Moreira António , Simões Mário , Silva Bruno
Published: February 2025

Transdisciplinary research represents a paradigm shift in healing practice. This paper deepens the theme of the article, titled “The usefulness of integrative medicine in contemporary society”, that was published in Transdisciplinary Journal of Engineering&Science (TJES). Thus, this paper aims to highlight the role of consciousness and spirituality in physics and healing. Therefore, some classical healing methods are discussed, including the therapeutic effectiveness of Chinese medicine in alleviating the symptoms of some diseases. Also, we refer to some contemporary healing methods and relate them to the “spontaneous healing” experienced by Sister Bernardette Moriau, a phenomenon for which conventional medicine offers no explanation. In this regard, morphogenic fields have been described as a possible mechanism that might explain the efficiency of Chinese medicine. Also, the altered, modified and amplified states of consciousness (A/M/ASC) are described in detail as a potential explanation for the occurrence of “spontaneous healing”. Finally, the concept of biofield was related with the new healing paradigm proposed by the integrative medicine model.
Collaborative Transdisciplinary Research, Knowledge Sharing and Governance for Disaster Prevention and Mitigation
Authors: Butt Anosh Nadeem , Dimitrijević Branka
Published: February 2025

Considering a range of possible natural and anthropogenic hazards and socio-economic disruptions, the article hypothesis is that the planning of their prevention and mitigation requires transdisciplinary collaboration of science, governance organisations, affected population, and civil society. The literature review enabled identifying types and causes of disruption threats, their scale, governance approaches and recommendations for collaboration in transdisciplinary research, knowledge sharing and governance. Qualitative analysis of the recommendations given in the above studies confirms validity of the above hypothesis. The findings indicate the significance of developing knowledge and skills needed for effective transdisciplinary collaboration. The research value is in providing evidence related to the need for building capacities and capabilities for transdisciplinary collaboration in science, at all levels of governance, and in communities.
LEVERAGING IOT DATA FOR ACCURATE TEMPERATURE FORECASTING IN THE FOOD AND BEVERAGE INDUSTRY
Authors:   Lviv Polytechnic National University, Andrushko Andriy , Tomiuk Vasyl ,   Lviv Polytechnic National University
Published: February 2025

In the food and beverage industry, maintaining optimal temperature conditions is
crucial for ensuring product quality and safety. The advent of the Internet of Things (IoT) has
enabled real-time temperature monitoring through sensor networks, providing a wealth of data that
can be harnessed for predictive analytics. This study presents a robust method for analyzing and
forecasting IoT temperature data, specifically tailored to the operational dynamics of the food and
beverage sector. By leveraging exponential smoothing techniques and a learning approach, we aim
to present an algorithm capable of delivering accurate temperature forecasts to support proactive
decision-making.
3D MODELLING OF UAV AND CREATING IT`S SYSTEM OF CONTROL
Authors:   Lviv Polytechnic National University, Syrotynskyi Taras , Kolesnyk Kostiantyn ,   Lviv Polytechnic National University, Kozemchuk Ivan ,   Lviv Polytechnic National University, Holovatyy Andriy ,   Lviv Polytechnic National University, Andrzej Lukaszewicz Andrzej ,   Bialystok University of Technology
Published: February 2025

This paper presents a 3D modelling approach for developing Unmanned Aerial
Vehicles (UAVs) aimed at increasing UAV availability in Ukraine. Using CAD (Computer-Aided
Design) tools, particularly SolidWorks, a prototype based on the F-15 aircraft was created, followed
by CNC (Computer Numerical Control) machining and the use of composite materials for a
lightweight frame. For this UAV, laser guidance technology was implemented with software
controlling navigation adjustments, ensuring high precision in target tracking. Laser guidance is
interference-resistant, making it ideal for detecting and intercepting fast and small drones. This
efficient and cost-effective design enables the rapid creation of an accurately laser-guided UAV.
ROBOTIC MOBILE PLATFORM FOR CONTAINERS STORAGE SYSTEM
Authors:   Lviv Polytechnic National University, Mazur Vitaliy , Panchak Roman ,   Lviv Polytechnic National University
Published: February 2025

Unjustified concentration of intelligent control functions and means for loa-
ding/unloading operations and moving containers worsens the technical and economic performance

of anthropomorphic robotic mobile platforms of the AMR (Autonomous Mobile Robot) class. In this
work, a promising approach is proposed, which is based on the complex development of an
automated containers storage system and a specialized robotic mobile platform to take into account
the peculiarities and increase the efficiency of their joint operation. The proposed structure and
organization of the automated containers storage system are considered in this work. For the
effective functioning of this system, a specialized robotic mobile platform has been developed. An
experimental model of the robotic mobile platform for researching the implementation peculiarities
of its units and the control system is presented. The solutions to ensure the accuracy of platform and container positioning during their movement are proposed.
DEVELOPMENT OF A PROGRAM FOR MODELING AND SIMULATING A COLLABORATIVE ROBOT WORKSPACE
Authors:   Kharkiv National University of Radio Electronics, Nevliudov Igor , Yevsieiev Vladyslav ,   Kharkiv National University of Radio Electronics, Maksymova Svitlana ,   Kharkiv National University of Radio Electronics, Chala Olena ,   Kharkiv National University of Radio Electronics, Gurin Dmytro ,   Kharkiv National University of Radio Electronics
Published: February 2025

The article presents the software development for modeling and simulating the
workspace of a collaborative robot taking into account the presence of people. This is an important
step in creating safe and efficient robotic systems within Industry 5.0 concept. The problem is posed
by the need to ensure safety during the interaction of the robot with the operator, which is relevant
for modern production processes with high human participation.
The purpose of the study is to create a tool for dynamic modeling of the environment, capable
of detecting people in the robot's workspace and avoiding potential collisions. In the process of the
study, computer vision methods and image processing algorithms were applied to determine the
location of a person in three-dimensional space, using libraries such as PyBullet and OpenCV.
The main results of the work are experimental data confirming the effectiveness of the
developed system in detecting objects and preventing collisions. The novelty of the research lies in
the application of a potential field model that combines the repulsive force from a person and the
gravity force to the target point, which allows adaptively adjusting the robot’s trajectory. The
practical significance of the work lies in increasing the safety and efficiency of collaborative robots
in industrial conditions, which helps reduce risks for the operator.
The scope of further research involves optimizing the algorithm for detecting people, taking
into account changes in the environment, in particular, illumination, as well as the introduction of
adaptive thresholds for object detection.