bluuebunny/crossref_metadata_2025 huggingface dataset:
Examining the Similarities between a Theocratic State and a Monarchical State through a Socio-political Lens
Authors: Gunawan Nanda Permana , Muthmainah Nida Ghoida , Ruslan Ahmad
Published: July 2024

The objective of this study is to investigate the parallels between theocracy and monarchy from a socio-political perspective. Despite their distinct historical origins and sources of legitimacy, both forms of governance exhibit numerous similarities in their structural framework, leadership roles, legitimacy bases, and societal influences. Employing a socio-political approach, this research aims to explore how these systems impact societal dynamics, cultural values, and social structures.
Initially, the study delves into the organizational structures of theocratic regimes and monarchies. It highlights the pivotal role of leaders as authoritative figures possessing ultimate executive authority. Examination of the presence of legislative bodies or advisory committees supporting decision-making processes reveals shared structural patterns across these governmental frameworks.
Subsequently, the research scrutinizes the similarities in leadership roles and legitimacy sources. In monarchies, leaders often derive legitimacy from their royal lineage, whereas in theocracies, spiritual beliefs and religious credentials are instrumental in legitimizing rulership. Through this analysis, the study probes how both systems cultivate a socially acceptable perception of authority and legitimacy.
Furthermore, the socio-political dimension of the research encompasses the impact on economic and social aspects of society. Leaders in theocratic and monarchical regimes significantly influence economic policies, wealth distribution, and social and cultural development. The study investigates how these policy decisions can contribute to economic disparities or shape the social and cultural fabric of society. Additionally, the research underscores the influence of theocratic and royal governments on cultural values and social norms. Leaders in both systems contribute to shaping societal perspectives on art, education, and social conventions. The study examines how leadership policies contribute to the formation of cultural identities and societal norms.
Ultimately, this research aims to enhance understanding of the social and political dynamics within the contexts of theocracy and monarchy. By analyzing these similarities through a socio-political lens, the study seeks to elucidate the societal impacts of both governance models and identify potential implications for social and political progress.
Tafsir Intelektual Qur’an Karim: Epistemologi Keunikan dan Kebaruan Karya Mahmud Yunus
Authors: Rosyida Amalia  , Abad Badruzaman  , Salamah Noorhidayati  , Eko Zulfikar  , Rumi Chafidhoh
Published: July 2024

تتناول هذه المقالة تفسير عمل عالم باتوسانجكار والأكاديمي محمود يونس، أي القرآن الكريم، باعتباره رائد كتابة التعليقات الأولى باستخدام اللغة الإندونيسية في القرن الحادي والعشرين. ويستخدم هذا التعليق على نطاق واسع من قبل الجمهور باعتباره المرجع الرئيسي فهو يحتوي على قيم تختلف عن التفسيرات الأخرى. المشكلة الأساسية هي كيف تمت كتابة خلفية هذا التفسير، وما هو الأسلوب والطريقة ومصدر التفسير واستيعاب قيمة الجدة الواردة في تفسير كريم للقرآن. وباستخدام المنهج الوصفي النوعي المعتمد على البحث المكتبي، تم عرض البيانات الأولية لهذا البحث وهي تفسير القرآن الكريم. نتائج البحث التي تم الحصول عليها هي في شكل خلفية لكتابة التفسير، باستخدام الأسلوب العلمي الأدبي الاجماعي، مصدره مجموعتين من بالمأثور وبرأي، وهما خصائص فريدة في التفسير مصحوبة باستنتاجات تفسيرية. . ويمكن ملاحظة تفرد تفسير محمود يونس من طريقة تقديم التفسير التي تؤكد على المعنى المعجمي للآيات، على سبيل المثال في سورة القدر، في حين يمكن رؤية شكل الجدة في هذا التفسير في قسم الخاتمة حيث محمود يونس يشتمل على عناصر الحداثة، أحدها من حيث العلم والأخلاق.
Etika Mengkritik Pemerintah Menurut Buya Hamka dan Wahbah Az-Zuhaili atas QS. Thaha Ayat 43-48
Authors: Cintana Ayu , Ahmad Zainal Abidin  , Muhammad Ridho  , Nurul Hidayat  , Zunita Lut Fiana Pangesti
Published: July 2024

This article discusses the ethics of criticizing the government in Thaha's letter verses 43-48 from the perspective of Buya Hamka and Sheikh Wahbah az-Zuhaili. This is based on the thoughts of Buya Hamka and Wahbah who provide different examples of the ethics of criticizing the government. This article will compare thoughts on the ethics of government criticism between Buya Hamka and Wahbah az-Zuhaili in their respective interpretations. The method used in this article is comparative descriptive, namely explaining the differences and similarities between the interpretations of the two commentators.  The findings reveal that there are similarities as well as differences between the interpretations of Buya Hamka and Wahbah az-Zuhaili. The similarities found in the two interpretations are the meaning of the characteristics of mastery that goes beyond limits, the meaning of the technique of hitting with soft language, the content of the criticism conveyed by Musa Harun to Pharaoh, as well as the validity of the criticism conveyed by both of them to Pharaoh. The difference in the two interpretations is the style of language used by both of them in explaining the characteristics of those in authority and when hitting them using gentle language, then the meaning contained in fear when hitting people with high power, also presents different supporting data.
Tafsir Politik: Studi terhadap Pemikiran Politik Hamka dan Pengaruhnya dalam Tafsir Al-Azhar
Authors: Halimatussa'diyah Halimatussa'diyah , Kher Abdul , Hidayat Rahmat , Sulaiman Mohammad Nur
Published: July 2024

This article aims to reveal Hamka's political thoughts and their influence on interpretation. Many  predictions  can  be made to the figure of Hamka. Hamka is not only known as a writer, columnist, but Hamka is also popular as a scholar, mufassir and politician. Hamka in conveying his ideas, not only verbally but also in writing. This is  evident  in  the  large  number  of Hamka's  works  from various scholars. Hamka's popular and phenomenal work is Tafsir al-Azhar. As someone involved in practical politics, gave Hamka an influence in interpreting the Koran. Among Hamka's ideas in Tafsir al-Azhar are related to politics. The findings of this study are that according to Hamka, the order for deliberation is contained in the al-Qur'an, however al-Qu'an does not explain in detail the implementation of the deliberation. The implementation of deliberations depends on the situation and condition of the community. In the election of the head of state, Hamka argued that the requirements for the head of state were people of faith. The reason Hamka is the head of state chosen by a believer is because the head of state is not a believer (non-Muslim) can invite him to taghout. There is no separation between state and religion in the relationship between state and religion. Islam requires a harmonious relationship between religion and state.
Gender Based Violence: Reflections on the World Envisaged in “After Dark” by Jayne Cowie: Using Literature to Critically Explore Current Legal Responses to GBV in the Home and in Public
Authors: Bessant Claire , Richardson Kayliegh
Published: July 2024

This special issue of The International Journal of Gender, Sexuality and Law, edited by Claire Bessant and Kayliegh Richardson, brings together academic voices from across law and criminology in discussion of the issue of gender-based violence (GBV). Many of the ideas included in this special issue were presented previously at a 2022 conference funded by the Society of Legal Scholars, titled ‘Gender Based Violence: Reflections on the world envisaged in “After Dark” by Jayne Cowie’. That conference sought to use the book ‘After Dark’ as a focal point for a multi-disciplinary discussion about how society and the law should respond to tragedies such as the deaths of Sarah Everard and Ashling Murphy but also to the issue of violence against women. Building on the academic discussion that took place at that conference, this special edition firstly considers some of the legal interventions discussed in After Dark and their potential application within the real world. The second part of the special edition, then considers the potential benefits of using literature and other fictional works to stimulate discussion around legal issues.
Identity, Representation, and Agency: Narrative Constructs of Filipino Teachers in Taiwan’s Bilingual Nation 2030 Policy
Authors: Yeh Aiden
Published: July 2024

As Taiwan embraces the race towards improving its citizens’ English language skills through the Bilingual Nation 2030 policy, so does the need for teachers who can teach English as a Foreign Language (EFL) and subjects like Science and Math using English as medium of instruction (EMI). Attracting native speakers of English is a challenge, hence the government opened its doors for teachers with (near) native proficiency from countries where English is spoken as the mother tongue/official language e.g., the Philippines. This article sheds light on the plight of Filipino teachers in Taiwan hired through the Taiwan Foreign English Teachers Program (TFETP). Using the narrative inquiry approach, data were gathered from selected Youtube videos i.e., user-generated content of Filipino teachers in Taiwan and Filipino news networks. They were transcribed, coded, and analyzed, developing core narratives embedded in the discourse. Findings suggest multitude facets of teacher experiences that range in complexity, particularly what teaching in a migratory context is and what it means to them. Filipino educators must navigate bureaucracies, relocate, adapt, and fight racism and prejudice. Exemplary teaching qualifications and possession of standard English accent and proficiency are their professional armory. However, underneath these narratives are evidence of constant rallying for agency in owning their (non-)native identity and authenticity, establishing credibility as EFL/EMI teachers, and contesting representation of Filipino teachers amid Taiwan’s changing social and educational landscape.
ENHANCING FARMER GROUPS’ STRENGTH: HOW EFFECTIVE IS THAILAND’S PROJECT ON STRENGTHENING AGRICULTURAL PRODUCTION GROUPS?
Authors:   Centre for Project and Programme Evaluation, Office of Agricultural Economics, Phahon Yothin, Bangkok, 10900, Thailand, Jansuwan Para
Published: July 2024

In 2021, the Thai government implemented the project on strengthening agricultural production groups to enhance their operational strength through providing them with required supports. This study aimed to evaluate if the project contributes to improving the groups’ strength, the group members’ income and the application of knowledge gained in their households. Logic model was applied as this evaluation’s conceptual framework and a Propensity Score Matching method was applied to analyse the project’s impact. Data were collected from the project participants (265 people) and non-participants (241 people) through a survey in 12 provinces in four regions of Thailand. The results revealed that 53.50% and 28.12% of the group members reported that their group was the strongest and very strong, respectively. This is because most members (86.27%) provide assistance to each other and most (86.22%) cooperate in carrying out the groups’ activities. Participating group members who received land allocation from the Agricultural Land Reform Office earned an average of 28,482 baht more per year than non-participating members. Participating farmer housewife group members earned an average of 12,638 baht more per year than non-participating members. Participating farm youth was 24.19% more likely to apply the knowledge gained in their household than non-participating youth. In conclusion, the project was effective and should therefore be continuously extended its results. Its bottom-up approach should be applied to other projects with similar characteristics. In addition, budgets from various sources should be integrated to provide different farmer groups with more opportunities to participate in the future projects.
CONSUMER PREFERENCES FOR DIFFERENT TYPES OF COFFEE
Authors:   Department of Tourism, Food & Beverage Management, Chang Jung Christian University, Tainan City, 71101, Taiwan, Lin Chien-Chi
Published: July 2024

This study aims to investigate whether there are differences in preferences for different types of hand-drip and Italian-style coffees across genders and age groups. The findings indicate that gender plays a significant role in coffee preferences, suggesting that café operators should tailor their product promotion strategies based on whether their target demographic is predominantly male or female. Additionally, age-related differences in coffee preferences identified through one-way analysis of variance (ANOVA) underscore the importance of age-specific marketing strategies.
DRIVERS & OUTCOMES OF HUMAN CAPITAL ANALYTICS
Authors:   NUST Business School (NBS), National University of Sciences and Technology (NUST), Islamabad, Pakistan, Faiz Misbah , Sarwar Naukhez ,   NUST Business School (NBS), National University of Sciences and Technology (NUST), Islamabad, Pakistan, Tariq Adeel ,   LUT Kouvola Unit, LUT University, Finland
Published: July 2024

The current article analyzes human capital analytics and develops a model for the drivers and outcomes of human capital analytics. A total of 81 articles have been analyzed using content analysis and a model has been developed for drivers and outcomes of human capital analytics. The model identifies four drivers and seven outcomes of human capital analytics. The drivers include organizational culture, employee hard & soft skills, employee competencies and skilled workforce. The outcomes include stronger inter-departmental relationships, improved employee experience and behavior, knowledge-based decisions, improved company performance, provision of competitive edge, risk reduction and enhancement of strategic organizational capability. We see that human capital analytics is an emerging phenomenon and yet much literature does not exist on the phenomenon. Considering minimal exploration of HR data analytics and its hidden role in the company's performance, the area has been less approached. Our review addresses the mentioned shortcomings and provides a roadmap for future research.
El español en las enseñanzas de idiomas de régimen especial
Authors: Tejero López José Ángel
Published: July 2024

El presente artículo examina la situación de la lengua española en las enseñanzas de idiomas de régimen especial. Para ello, a través de un estudio cuantitativo con carácter descriptivo, se ha realizado una encuesta a 44 Escuelas Oficiales de Idiomas (EOI) de las 71 que ofrece la posibilidad de estudiar español como lengua extranjera (62%). Los resultados indican resultados pioneros sobre la temática de estudio, por ejemplo, que la enseñanza de español representa alrededor del 8% de la oferta total que existe en las EOI. A pesar de los desafíos y las limitaciones, el estudio destaca el potencial de las EOI como institución única en el marco europeo para promover la lengua española. Por tanto, se aboga por futuras investigaciones en este campo con el objeto de mejorar la calidad de las enseñanzas especializadas en general, y de la lengua española en particular.
Attitude and assertiveness in the classroom in the use of spoken Catalan
Authors: Rius-Escudé Agnès , Royo i Bieto Carles , Mañas Navarrete Iban
Published: July 2024

Analizar la actitud y la asertividad en el uso del catalán oral que muestran en el aula 44 alumnos del grado de Educación Primaria de la UB y de la URV durante las prácticas de 2021-2022, en 34 escuelas. Se comparan datos cuantitativos y cualitativos de una acción formativa sobre asertividad lingüística, gracias a un cuestionario de observación que cumplimentaron dos veces los tutores de los centros educativos, antes de la acción formativa (Q1) y después (Q2). Cuantitativamente, existe una diferencia estadísticamente significativa entre el Q2 respecto al Q1 en dos de las cuatro dimensiones que hemos estudiado: la frecuencia de uso de la lengua catalana y la competencia lingüística de los futuros maestros. Cualitativamente, se analizan las estrategias que estos alumnos utilizan en el aula para fomentar el uso del catalán: se observa un aumento en el Q2 de las estrategias más asertivas y una disminución de las menos asertivas.
Occurrence and identification of microplastics retained in corrosion deposits of drinking water transmission pipes
Authors: Magnucka Marta , Świetlik Joanna , Lembicz Agata , Nawrocki Piotr , Fijołek Lilla
Published: July 2024

The irregular structure and high porosity of corrosion deposits create suitable conditions for the retention, accumulation and adsorption of microplastics (MPs) and nanoplastics (NPs) transported by distributed water. Due to the low mass and continuous degradation of MPs, under certain conditions (e.g., changes in water composition or hydraulic conditions, network failures), these particles can be re-released into the water, causing secondary contamination. This paper presents preliminary results on the degree of MP contamination of sediments lining the inner surface of metal alloy pipes taken from a municipal drinking water distribution network. The isolated particles were assessed in terms of number, shape, residence time in the network, and origin. Plastic fragments classified as MPs and NPs were found in all analyzed corrosion deposits. Fragments smaller than 50 μm predominated, indicating a high level of plastic fragmentation associated with advanced degradation and prolonged residence in the environment. The predominant plastics identified were polyethylene (PE), polyethylene terephthalate (PET), and polyamides. High-carbon particles, most likely NP particles, whose presence in drinking water may pose a high health risk to consumers due to their potential to migrate into body tissues, were very abundant in the sediments but impossible to count with the techniques used. The results indicate the need to intensify research on the content of MPs and NPs not only in drinking water, but also in the sediments covering the interior of distribution pipes, and to identify factors that may cause their secondary release into bulk water.
EPR Correlations Using Quaternion Spin
Authors: Sanctuary Bryan
Published: July 2024

{We present a statistical simulation replicating the correlation observed in EPR coincidence experiments without needing non-local connectivity. We define spin coherence as a spin attribute that complements polarization by being anti-symmetric and generating helicity. Point particle spin becomes structured with two orthogonal magnetic moments, each with a spin of $\frac{1}{2}$—these moments couple in free flight to create a spin-1 boson. Depending on its orientation in the field, when it encounters a filter, it either decouples into two independent fermion spins of $\frac{1}{2}$, or it remains a boson and precesses without decoupling. The only variable in this study is the angle that orients a spin on the Bloch sphere, first identified in the 1920s. There are no hidden variables. The new features introduced in this work result from changing the spin symmetry from SU(2) to the quaternion group, $Q_8$, which complexifies the Dirac field. The transition from a free-flight boson to a measured fermion is the reason for the observed violation of Bell's Inequalities and resolves the EPR paradox.
China's Legal Practices for Challenges of Artificial General Intelligence
Authors: Chen Bing , Chen Jiaying
Published: July 2024

The artificial general intelligence (AGI) industry, represented by ChatGPT, has impacted social order during its development, and also brought various risks and challenges such as ethical concerns in science and technology, attribution of liability, intellectual property monopolies, data security, and algorithm manipulation. The development of AI is currently facing a crisis of trust. Therefore, the governance of AGI industry must be prioritized and the opportunity of the implementation of the Interim Administrative Measures for Generative Artificial Intelligence Services should be taken. It is necessary to enhance the norms for the supervision and management of scientific and technological ethics within the framework of the rule of law. Additionally, it is also essential to continuously improve the regulatory system for liability, balance the dual values of fair competition and innovation encouragement, and strengthen data security protection systems in the field of AI. All of these will enable coordinated governance across multiple domains, stakeholders, systems, and tools.
Case Studies (CS) Method: Perspectives from Learning Plant Nutritional Biology with CS Applications
Authors: Hacisalihoglu Gokhan
Published: July 2024

Case studies (CS) attempt to help students increase critical thinking skills and engagement while working through a real-life scenario in various disciplines, including medicine, law, and business. However, the CS method has not been heavily utilized in biological sciences. The present study investigated the effect of the CS method on undergraduate biology students’ conceptual understanding, academic outcomes, and perspectives. A case study was applied in a one-semester undergraduate biology course, which was compared to ten semesters of standard sections. Participants completed course pre- and post-tests, pre- and post-case tests, and an online survey to assess their conceptual understanding and engagement. The initial lowest quartiles were determined from the individual course pre-test scores, which were lower than class averages. Results suggested that the CS method helped students in learning outcomes, critical thinking, and conceptual understanding toward biology. In post-test learning gains, the CS group did 20% better than the non-CS group, with the largest benefit seen in the initially lowest pre-test quartile of the class. Moreover, post-case learning gains were 55% improved in the case test. Survey results indicated that students had positive attitudes toward CS for their engagement in plant biology content. Overall, the distribution of A grades improved by 2.6-fold from standard to CS groups. We conclude that the use of CS may address course content engagement and have the potential to effectively boost academic performance, especially for the initially lowest quartile in undergraduate plant biological sciences courses.
Explicit Analysis for the Ground Reaction of a Circular Tunnel Excavated in Anisotropic Stress Fields based on Hoek–Brown Failure Criterion
Authors: Lee Yu-Lin , Chen Chih-Sheng , Hsu Tseng-Hsing , Lee Chi-Min
Published: July 2024

The study aims to utilize the convergence-confinement method (CCM) by considering non-hydrostatic stress assumptions in the analysis of the surrounding rock in a circular tunnel. The rock mass properties should adhere to the criteria of the non-linear Hoek-Brown failure criterion. Through a thorough theoretical analysis approach, an analytical solution is derived to determine the stress and displacement induced by tunnel excavation, particularly in the elastic and plastic zones. This solution, applicable under anisotropic stress conditions, involves accounting for confinement loss incrementally for computational feasibility. The implementation of this analytical solution, facilitated by a straightforward spreadsheet, was validated against existing data to evaluate the impact of non-linear failure criteria on ground reaction behavior. The study scrutinizes the mechanical response at the tunnel's inner curve and assesses stress-displacement distribution across the tunnel cross-section. A comparison between the proposed solution and published results demonstrates a consistent and promising correlation.
Transorbital Alternating Current Stimulation in Glaucoma: From Neurophisiological Bases to Clinical Practice. A Clinical Review.
Authors: Granata Giuseppe , Delicati Sharon , Falsini Benedetto
Published: July 2024

Recovery after visual loss is a key goal of neuroscience and treatments able to improve visual function are still largely lacking. Glaucoma, one of the leading causes of visual disability in the world, is usually associated with elevated intraocular pressure (IOP) but a subset of “normal tension glaucoma” patients develops damage without ever manifesting high IOP. Sometimes, even in patients with a good control of IOP, the retinal ganglion cell degeneration can progress forward the blindness. Moreover usually the damage already caused by the disease remains. These considerations underline the needs to find new effective treatments and solution to add to the standard ones. In this paper, we expose the most important data supporting the use of alternating current stimulation, a relatively new option for treating low vision, in glaucoma including the theoretical bases of this approach.
DFLM-YOLO: A Lightweight YOLO Model with Multiscale Feature Fusion Capabilities for Open Water Aerial Imagery
Authors: Sun Chen , Zhang Yihong , Ma Shuai
Published: July 2024

Object detection algorithms for open water aerial images present challenges such as small object size, unsatisfactory detection accuracy, numerous network parameters, and enormous computational demands. Current detection algorithms struggle to meet the accuracy and speed requirements while being deployable on small mobile devices. This paper proposes DFLM-YOLO, a lightweight small-object detection network based on the YOLOv8 algorithm with multiscale feature fusion. Firstly, to solve the class imbalance problem of the SeaDroneSee dataset, we propose a data augmentation algorithm called Small Object Multiplication (SOM). SOM enhance dataset balance by increasing the number of objects in specific categories, thereby improving model accuracy and generalization capabilities. Secondly, we optimize the backbone network structure by implementing Depthwise Separable Convolution (DSConv) and the newly designed FC-C2f, which reduces the model's parameters and inference time. Finally, we design the Lightweight Multiscale Feature Fusion Network (LMFN) to address the challenges of multiscale variations by gradually fusing the four feature layers extracted from the backbone network in three stages. In addition, LMFN incorporates the Dilated Re-param Block structure to increase the effective receptive field and improve the model's classification ability and detection accuracy. Experimental results on the SeaDroneSea dataset indicate that DFLM-YOLO improves mAP by 12.4% compared to the original YOLOv8s, while reducing parameters by 67.2%. This achievement provides a new solution for UAVs to conduct object detection missions in open water efficiently.
Development and Design Perspective of a Model for Analyzing the Social Life Cycle of Public Organizations: Examination of Existing Models
Authors: Libom Bernadette Sidonie , Traverso Marzia , Nangah Mankaa Rose , Manzardo Alessandro
Published: July 2024

Background: This study aims to develop a research framework for the Social Life Cycle Assessment (S-LCA) of public services by conducting a systematic review of existing literature from 2013 to 2022. The research question focuses on how the results of the literature review can inform the advancement of S-LCA for public services. Methods: To answer this question, a qualitative and quantitative analysis of data from the Web of Science and Scopus databases was carried out. The quantitative analysis determined the total number of S-LCA and SO-LCA papers published by main journals, and main authors. The qualitative analysis highlighted the different themes and research objectives addressed in the work relating to the S-LCA of products/services and organizations. Results: The results show that 222 papers dealing with S-LCA were published in 94 journals and revealed a scarcity of work on public services, with most papers focusing on products/services and organizations. While there is a lack of direct scientific data, the study identified 17 actors, 74 impact sub-categories, and 178 indicators that could be considered for the S-LCA of public services. Conclusions: Due to the diverse nature of public services, it is crucial to develop specific stakeholder categories, sub-categories, and performance indicators for each public service. This will support the scientific community and S-LCA practitioners in applying assessing the social impacts of public services.
Tidal Flat Extraction and Analysis in China Based on Multi-source Remote Sensing Image Collection and MSIC-OA Algorithm
Authors: Sun JiXiang , Tang Cheng , Mu Ke , Li Yanfang , Zheng Xiangyang , Zou Tao
Published: July 2024

As an important part of coastal wetlands, tidal flats provide unique ecosystem services and functions. China's tidal flats are significantly threatened by industrialization, urbanization, aquaculture expansion and coastline reconstruction, and there is an urgent need for sustainable strategies to balance the protection and utilization of tidal flats. Remote sensing technology can realize large-scale spatiotemporal research of tidal flats, comprehensively improve the ecological environment of coastal zones, and help achieve the overall planning goals of major projects for the protection and restoration of important ecosystems in China. In this study, based on GEE (Google Earth Engine) platform, Sentinel-2 (MSI), Landsat 8 (OLI) and Landsat 9 (OLI-2) remote sensing images were used to construct multi-source intensive time series remote sensing image collection, combined with MSIC-OA algorithm. The tidal flat data of China in 2018 and 2023 are extracted and analyzed. The results show as follows: 1) The overall classification accuracy of the tidal flat in 2023 is 95.19%, and the Kappa coefficient is 0.89; In 2018, they were 92.77% and 0.83 respectively. 2) The total tidal flat area in 2018 and 2023 is 8300.34km2 and 8151.54km2, respectively, a decrease of 148.80km2; 3) In 2023, estuarine and bay tidal flats will account for 54.88% of the total area, and most of the tidal flats will be distributed near river inlets and bays; 4) In 2023, the total length of the coastline adjacent to the tidal flat is 10196.17km, of which the artificial shoreline accounts for 67.06%, and the development degree of the tidal flat is 2.04, indicating that most of the tidal flat has been developed and utilized. The research results provide valuable reference for the scientific planning and rational utilization of tidal flat resources in China.
Hybridized Shock Filtering and High Order Partial Differential Equation for Preserving the Legacy of Historical Document from Degradation and Distortion
Authors: Ajao Jumoke F. , Yusuff Shakirat R. , Isiaka Rafiu M. , Ajao Abdulazeez O. , Yahaya Abdullahi
Published: July 2024

Image restoration plays a vital role in image processing and pattern recognition in producing better recognition accuracy. It was observed that, most of the traditional restoration algorithms were meant for removing a single type of noise and efforts have been made towards the use of partial differential equation model (PDE), to restore different types of images such as super-resolution, bleeding through and deblurring. This research work deployed hybridized shock filter, shock diffusion of higher order PDE to remove degraded images that have been affected by atmospheric turbulence and water smear images. Degraded images of different types were acquired from various sources. The degraded images were subjected to shock filter algorithm, shock diffusion of higher order PDE. The shock filter was combined with PDE, likewise the shock diffusion was also combined with PDE, and the three algorithms were also combined to test the efficiency of the hybridized method on different degraded images. The result was validated using Mean Square Error, Structural Similarity Index Measure (SSIM), Peak-to-Noise-Signal -Ratio (PNSR) and universal quality index (UQI). From the result, it was observed that the combination of many image restoration algorithms does not give better results whereas, the combination of two of the algorithms has really proved effective.
The Potential of Listed Buildings to Create Living Space
Authors: Hanus Christian , Sonnleithner Manfred
Published: July 2024

Stagnating low renovation rates, vacancies and underused town centers, unprecedentedly high levels of land sealing and excessive consumption of resources through the construction of new buildings and infrastructure as well as the effects of climate change were some of the reasons for carrying out the monumentum ad usum research project.Thermodynamic simulations were used to carry out in-depth analyses of specific building parameters such as energy balances and how they are influenced by the effects of climate change. Life cycle analyses under ecological and economic aspects examined the aspects of sustainability and the individual behaviour of predominantly listed existing buildings under standardized conditions.The project results show that sustainable refurbishment can significantly increase the attractiveness of using historic and listed buildings for non-profit building owners. The results and conclusions of the project are as varied as the recommendations derived from them. In practice, old buildings consume significantly less energy than predicted in the structural calculations. Correction factors are to be developed and thermodynamic simulation calculations are to be used instead of energy performance certificates for more realistic forecasts of energy requirements and emission savings potential. The aspects of sustainability in refurbishment are essential for the protection of our architectural heritage.
The Paradigms of P53: From Viral Manipulation to Immunomodulation of the Tumor Immune Microenvironment
Authors: Trovato Maria , Valenti Andrea
Published: July 2024

Protein 53 (P53) shows different functions either to support or to contrast malignant growth. P53 history tells that discoveries of molecular features have contributed to the emergence of P53 functions. Conversely, the shift of paradigms demonstrates that P53 functions coexist even if are in conflict with one another.
Since 1979, five paradigms have been assembled then deconstructed by taking into account P53 functions of viral protein, oncogene, tumor suppressor gene, transcription factor, apoptotic factor.
By summarizing the past five disassembled P53 paradigms, in this investigation the current paradigm involving P53 in the modulation of a composite bio-morphological entity namely, tumor immune microenvironment (TIME) is analyzed.
The aims of this investigation were to provide an overview of solid and validated knowledge occurring in all P53 paradigms and to determine P53 abilities to modify TIME through manipulation of viruses.
As a result, definitive P53 evidence concerns its genetic localization, amino acids composition, its isoforms and subcellular expression in organelles. P53 “mutome” assembles all mutations affecting this complex protein. Lastly, both categories of tumor promoting and non-oncogenic viruses related to P53 were scrutinized.
In conclusion, paradigms teach that P53 is undruggable because its drugs inevitably target all P53 functions.
Enhancing Dermatological Diagnostics with EfficientNet: A Deep Learning Approach
Authors: Manole Ionela , Butacu Alexandra- Irina , Bejan Raluca Nicoleta , Tiplica George Sorin
Published: July 2024

Background: Despite recent advancements, medical technology has not yet reached its peak. Precision medicine is growing rapidly, thanks to machine learning breakthroughs powered by increased computational capabilities. This article explores a deep-learning application for computer-aided diagnosis in dermatology. Methods: Using a custom model based on EfficientNetB3 and deep learning, we propose an approach for skin lesion classification that offers superior results with smaller, cheaper, and faster inference times compared to other models. The skin images dataset used for this research includes 8,222 files selected from the authors' collection and the ISIC2019 archive, covering six dermatological conditions. Results: The model achieved 95.4% validation accuracy on four categories—melanoma, basal cell carcinoma, benign keratosis-like lesions, and melanocytic nevi—using an average of 1,600 images per category. Adding two categories with fewer images (about 700 each)—squamous cell carcinoma and actinic keratoses—reduced the validation accuracy to 88.8%. The model maintained accuracy on new clinical test images taken under the same conditions as the training dataset. Conclusions: The custom model demonstrated excellent performance on the diverse skin lesions dataset, with significant potential for further enhancements.
Degnala in Buffaloes: A Review on a Neglected Disease?
Authors: Lins André De Medeiros Costa , Salvarani Felipe Masiero
Published: July 2024

Degnala is one of the main mycotoxicoses that affects buffaloes, and the fungus Fusarium spp. is the main causative agent. This disease is strongly related to the supply of rice straw to buffaloes and is considered endemic to regions where this crop is cultivated. Cases of the disease are concentrated in the winter, when conditions favour fungal growth in inadequately stored rice straw. Degnala is characterized by necrosis and gangrene of the extremities, including the tail, lower limbs, ears, tongue, muzzle and teats. The pelvic limbs are more affected than the thoracic limbs. A tortuous appearance of the tail is very common, and cracks or corneal loss of the hooves may occur, with exposure of the blades and even the bones. There is no diagnostic method for identifying the disease in animals other than the clinical and epidemiological criteria associated with fungal culture of rice straw samples. There is no treatment that neutralizes the effects of the toxins, and the treatment currently used is a palliative and supportive method consisting of pentasulfate solution, anti-Degnala liquid, 2% nitroglycerin ointment and broad-spectrum antibiotics for secondary infections. In addition, the management of drying straw and proper storage are essential for controlling this disease.
Comparative Analysis of Machine Learning Algorithms for Heart Disease Prediction Using the Cleveland Heart Disease Dataset
Authors: Shrestha Dhadkan
Published: July 2024

Predicting heart disease is crucial for early diagnosis and intervention, significantly improving patient outcomes and reducing mortality rates. This study compares various machine learning models, including Logistic Regression, Random Forest, Gradient Boosting, XGBoost, and Long Short-Term Memory (LSTM) networks, using the Cleveland Heart Disease dataset. Comprehensive preprocessing steps were undertaken, such as handling missing values, converting categorical variables to numeric forms, and binarizing the target variable for binary classification. Each model was rigorously evaluated using performance metrics, including accuracy, precision, recall, F1-score, and the area under the receiver operating characteristic curve (AUC-ROC). SHapley Additive exPlanations (SHAP) values were employed to provide insights into feature importance, ensuring model transparency and interpretability. The results indicate that XGBoost outperformed all other models, achieving an accuracy of 90% and an AUC-ROC of 0.94, demonstrating its superior ability to capture complex patterns in the data through advanced optimization techniques and regularization. This study highlights the significant potential of advanced machine learning techniques, particularly ensemble methods like Gradient Boosting and XGBoost, in enhancing heart disease prediction. These models offer higher accuracy and valuable interpretability, making them practical tools for early diagnosis in clinical settings. Future research should focus on integrating these models into healthcare systems and exploring hybrid approaches to further improve predictive performance and clinical applicability.
Ensuring Quality Medicine is not a Single Event Rather Combine Effects of a Pharmaceutical Company
Authors: Ahmed Rashed
Published: July 2024

The article "Ensuring Quality Medicine is Not a Single Event but a Combined Effort of a Pharmaceutical Company" explores the multifaceted approach required to maintain high standards in pharmaceutical manufacturing. It emphasizes that quality assurance in medicine production is not an isolated event but a continuous, integrated process involving multiple departments and stages. The article highlights the roles of research and development, rigorous clinical trials, regulatory compliance, and robust manufacturing practices in ensuring the efficacy and safety of medicines. It also discusses the importance of quality control measures, such as stringent testing protocols and regular audits, to detect and mitigate potential issues early. The collaboration between different teams within a pharmaceutical company, including scientists, engineers, and quality assurance professionals, is crucial for sustaining quality throughout the product lifecycle. Moreover, the article addresses the necessity of adhering to global standards and guidelines, such as Good Manufacturing Practices (GMP), to ensure consistency and reliability in drug production. By fostering a culture of continuous improvement and vigilance, pharmaceutical companies can effectively safeguard public health and maintain trust in their products. This holistic approach underscores that delivering quality medicine is an ongoing commitment requiring coordinated efforts across the entire organization.
Exploring the Impact of Mindful Leadership on Employee Green Creativity in Manufacturing Firms: A Social Information Processing Perspective
Authors: Sun Baiqing , Xi Yuze
Published: July 2024

Manufacturing enterprises are increasingly compelled to pursue innovative solutions to environmental issues. Addressing such issues requires mindful leadership to support employees and organizations in maintaining awareness during complex situations, thereby promoting environmental sustainability. Drawing on social information processing theory, this study theorizes and tests the relationships mindfulness leadership, employee moral reflectiveness, environmental passion, and employee green creativity. To test the model, we utilize a two-wave multi-source dataset comprising 215 workers from manufacturing firms in China. The findings demonstrate that mindful leadership is positively related to employee green creativity. Additionally, our research reveals that both moral reflectiveness and environmental passion serve as mediators in linking mindful leadership to employee green creativity. Crucially, our empirical analysis suggests a serial mediation model, examining the sequential role of moral reflectiveness and environmental passion in the relationship between mindful leadership and employee green creativity. The findings provide a new viewpoint on employees' eco-friendly behaviors and have practical implications for improving environmental sustainability within organizations.
DFly: A Publicly Auditable and Privacy-Preserving UAS Traffic Management System on Blockchain
Authors: BAPTISTA Frederico , DEHEZ-CLEMENTI Marina , DETCHART Jonathan
Published: July 2024

The integration of Unmanned Aircraft Systems (UAS) into the current airspace poses significant challenges in terms of safety, security and operability. As an example, the European Union has defined in 2019 a set of rules to support the digitalization of UAS Traffic Management (UTM) systems and services, namely the U-Space regulations. Current propositions opted for a centralized and private model, concentrated around governmental authorities (e.g., AlphaTango provides the Registration service and depends on the French government). In this paper, we advocate in favor of a more decentralized and transparent model in order to improve safety, security and operability among UTM stakeholders. As such, we propose DFly, a Publicly Auditable and Privacy-preserving UAS Traffic Management system on Blockchain, and developed two initial services: Registration and Flight Authorization. We demonstrate that the use of a blockchain guarantees the public auditability of the two services and corresponding service providers’ actions. In addition, it facilitates the comprehensive and distributed monitoring of airspace occupation and the integration of additional functionalities (e.g., the creation of a live UAS tracker). The combination with zero knowledge proofs enable the deployment of an automated, distributed, transparent and privacy-preserving flight authorization service, performed on-chain thanks to the blockchain logic. In addition to its construction, this paper details the instantiation of the proposed UTM system with the Ethereum Sepolia’s testnet and the Groth16 ZK-SNARK protocol. On-chain (gas cost) and off-chain (execution time) performance analyses confirm that the proprosed solution is a viable and efficient alternative in the spirit of digitalization and offers additional security guarantees.
Research on Genome Data Recognition and Analysis based on Louvain Algorithm
Authors: Huang Danyi , Xu Lidong , Tao Weilun , Li Yizhou
Published: July 2024

In genomics analysis, with the development of sequencing technology and the rapid growth of data volume, how to effectively identify and analyze important information in genomic data from massive data has become an important challenge. Identify key patterns and features in genomic data through advanced community testing methods. First, genomic data often contains a lot of noise and redundant information that needs to be processed through steps such as normalization, filtering, and dimensionality reduction. Normalization makes data at different scales comparable, filtering out data points with low quality or missing values, and dimensionality reduction reduces data dimensions through principal component analysis (PCA) and retains the main information. The gene co-expression network establishes the connection relationship between genes by calculating the expression similarity matrix between genes, and applies the Louvain algorithm to maximize the modularity of the network, aggregate nodes layer by layer, form a community structure, and identify the complex relationship and potential structure between genes. Finally, we utilize the cancer dataset to evaluate the proposed model. From our extensive experimental results, we can observe that Louvain's algorithm indicates outperformances and accuracy in the recognition and analysis of genomic data.
Nuancing 'Emotional' Social Play: Does Play Behaviour Always Underlie a Positive Emotion?
Authors: Cordoni Giada , Norscia Ivan
Published: July 2024

This review focuses on social play, a complex behavior that is often difficult to categorize. Although play has been typically associated with positive emotions, emerging research indicates that it relates to various emotional systems, ranging from attachment to conflict. Play oscillates between compe-tition and cooperation, and includes a spectrum in-between, thus quantitatively identifying and demonstrating the emotional nature of play remains challenging. We examined some examples from human and non-human animal studies and explored the emotional and neuro-hormonal systems involved in play. We considered ethological data possibly indicating the emotional states underlying play and we focused on the cooperative and competitive elements of play. We investigated the relationship between play and affiliative/aggressive behaviours, the communicative meaning of play signals (especially primate play faces), and the motor and possibly emotional contagion func-tion of rapid motor mimicry during play. Of all the literature on play, this review selects and com-bines the studies in an innovative way, to present the methods, tools, and evidence indicative of the emotional nature underlying play, which is much more complex than previously thought.