bluuebunny/crossref_metadata_2025 huggingface dataset:
Conversaciones
Authors: Becerra Mayorga Witton
Published: November 2023

Estas páginas muestran una reflexión de lo que es para mí la conversación, que la entiendo como la posibilidad que tiene el escritor de interpretar la alteridad de diferentes maneras.En un principio pretendí hacer conversaciones con la escritura literaria, exclusivamente, con las fuentes de donde bebo, a saber, la obra de Jorge Luis Borges, Horacio Quiroga y Julio Cortázar. De esa relación de alteridad con otras escrituras y de establecer la intertextualidad con la obra de otros autores surgen los cuentos “El progreso”, “El veneno”, “Otro encuentro” y “En casa de Benito Quinquela Martín”. Uno de los aspectos de la escritura que más me ha convencido es escribir partiendo de las obras que lo marcan a uno y que cuando uno lee siente que queda la posibilidad de decir algo de aquellas, o que lo que escribimos puede enlazarse de manera dichosa con lo ya escrito, allá están los otros que inspiran y la escritura se vuelve, en el sentido borgiano, una extensión de nuestras lecturas.
Non-Muslims and Sharia-Based Regional Government; Comparison between Aceh, Indonesia and Selangor, Malaysia
Authors: Harahap Burhanudin , Handayani I Gusti Ayu Ketut Rachmi , Lego Karjoko
Published: November 2023

One plausible challenge that may emerge throughout the application of sharia law in Aceh, for instance, is the presence of interreligious disputes. The fact that not all members of communities are Muslims poses an inquiry. This research examines how Sharia law is enforced in Aceh; how legal protection for non-Muslims is affected by the enforcement, as well as, to the same topic, how the comparison between Aceh and of Selangor, Malaysia is. According to this empirical study, Qanun was created in Aceh to secure adherence to sharia law, so that Qanun Jinayat applies to community members identified as Muslim. In contrast, Malaysia is a multiethnic and multiracial nation governed by the supreme law, namely the Federal Constitution, which protects its diverse religion and communities. Sharia law applies exclusively to Muslims in Selangor, in stark contrast to jinayah law in Aceh which apply this to Aceh citizen. Hence, stakeholders in Aceh must collaborate to assess and fortify legal safeguards for non-Muslim inhabitants, extending beyond the freedom to select the form of justice they prefer. The objective is to guarantee the rights of each citizen in a manner that is devoid of violence or any indications of human rights violations.
Peran Kepemimpinan Dalam Meningkatkan Etos Kerja Islam Terhadap Pegawai Negeri Sipil Lingkup Kantor Kementerian Agama Kabupaten Mamasa
Authors: Sulaiman Fauziah , Rifai Mesrawati , Makduani Rivai
Published: November 2023

Tujuan penelitian ini untuk mendeskripsikan peran kepemimpinan dalam meningkatkan etos kerja Islam terhadap pegawai negeri sipil lingkup Kementerian Agama Kabupaten Mamasa. Jenis penelitian yang digunakan dalam penelitian ini adalah lapangan atau field research, sedangkan sifat penelitian bersifat deskriptif, Penelitian ini menggunakan teknik pengumpulan data dengan wawancara dan dokumentasi. Wawancara, sumber data yang peneliti gunakan yaitu sumber data primer dan sumber data sekunder, adapun yang menjadi sumber data primer yakni kepada Kepala Kementerian Agama Kabupaten Mamasa H. Ramli L, S.Ag., M.Pd, Sub Bagian Tata Usaha Usama Majid, S.Ag., M.M, dan Plt. Seksi Pendidikan Islam, Kepala Seksi Bimbingan Masyarakat Islam H. Anwar, S.Ag., dan Penyelenggara Haji dan Umrah Hj. Sumarnih, S.Ag. Hasil penelitian yang dilakukan oleh peneliti, kepemimpinan yang ada di Kementerian Agama Kab. Mamasa secara keseluruhan sudak cukup memenuhi dari indikator-indikator serta fungsi kepemimpinan berdampak pada etos kerja pegawai yaitu menjadi lebih bersemangat dalam menjalankan tugas maupun pekerjaan yang diberikan serta berpengaruh pada tanggung jawab kepada Kementerian Agama Kab. Mamasa sehingga dapat bekerja secara maksimal dan mencapai tujuan bersama yang ditetapkan oleh Kementerian Agama Kab. Mamasa
Diversité morphométrique intra-population du mouton Djallonké du Bénin
Authors: Monkotan Kuassi Ramsès Eden , Vissoh Durand , Kouato Orou Gédéon , Dahouda Mahamadou , Senou Marcel
Published: November 2023

Une caractérisation morphométrique utilisant des approches multivariées a été réalisée sur des ovins Djallonké au Bénin afin d’apprécier la diversité intraraciale et d’orienter efficacement les schémas d’amélioration génétique. Au total, 488 femelles et 74 mâles ont été phénotypés en utilisant 15 variables quantitatives. L’étude a été réalisée dans la zone agroécologique des pêcheries (ZP), celle des terres de barre (ZTB) et la zone cotonnière du centre Bénin (ZC). L’influence des facteurs sexe, zone agroécologique, et classe d’âge a été appréciée en utilisant une analyse de variance. Les différentes analyses discriminantes réalisées à l’aide du logiciel SAS 9.2 ont permis d’identifier les variables qui ont un fort pouvoir discriminant. Les distances biométriques de Mahalanobis ont été calculées et le degré de similarité ou de dissemblance morphologique des animaux des différentes zones agroécologiques a été déterminé en utilisant la méthode de classification ascendante hiérarchique. Les résultats indiquent que la zone agroécologique exerce une influence significative (p < 0,05) sur les paramètres mesurés. In fine, les analyses discriminantes révèlent que les variables profondeur de poitrine, profondeur du flanc, longueur scapulo-ischiale, largeur de la tête, circonférence de la cuisse et longueur des oreilles, sont celles qui discriminent au mieux les populations ovines Djallonké. Les valeurs de distances de Mahalanobis entre les trois zones agroécologiques présentant des différences hautement significatives (p < 0,001), justifient la catégorisation de leurs populations ovines en deux écotypes morphologiquement distincts. Le pourcentage d’individus correctement classés dans leur zone d’origine est respectivement de 97,7 %, 60,3 % et 63,3 % pour la ZC, la ZP et la ZTB. Ces résultats révèlent aussi que les ovins de la zone cotonnière du Centre Bénin pourraient être soumis à des phénomènes d’introgression au profit des races sahéliennes ou montreraient des capacités d’adaptation aux conditions climatiques.
SOFT SKILLS FOR THE SUCCESS OF INTERNATIONAL COLLABORATIVE PROJECTS: AN EMPIRICAL STUDY
Authors:   Full Professor in Applied Linguistics, College of Education, INSPÉ de l’Académie de Bordeaux, Lab.E3D, University of Bordeaux, France, Châteaureynaud Dr. Marie-Anne , Deyrich Dr. Marie-Christine ,   Professor Emerita in Applied Linguistics, College of Education,  INSPÉ de l’Académie de Bordeaux, LACES EA 7437, University of Bordeaux, France, Burgain Dr. Marie-France ,   Senior Lecturer in Applied Linguistics, College of Education, University of Bordeaux INSPÉ de l’Académie de Bordeaux, Lab.E3D Université de Bordeaux, France
Published: November 2023

Research collaboration is expected to offer many advantages, including the pooling of ideas, the creation of a shared identity and efficiency in the production of resources. This viewpoint has led to the development of a Europe-wide project involving several partner universities over 9 years. Many researchers are joining forces to work on collaborative projects, in the hope of benefitting science and the common good. However, these projects can be hampered by a number of difficulties, including too little recognition of the importance of cross-disciplinary skills in bringing a group project to a successful conclusion. Our presentation will review the specific features of the collaborative research context and focus on the specific cross-disciplinary skills required with the objective to successfully complete collaborative research projects. Our methodology based on qualitative research will show our experience of several international collaborative projects, which we will supplement with a corpus of exchanges and interviews. Our findings from this project show that among the causes of the difficulties encountered, those relating to cross-disciplinary skills are central and among the skills required for collaborative research projects to run smoothly, our results highlight some of them. Our research shows the importance of the social link and soft skills in collaborative research projects and could be useful in future to those who want to start a new project and who may have underestimated the central importance of these soft skills.
Immunotherapy as a promising treatment strategy for dmmr colorectal cancer with brain metastasis: a case report
Authors: Cheng Xiaofei , He Wenguang , Zhong Weixiang , Tong Congke , Wu Guosheng
Published: November 2023

Brain metastasis in colorectal cancer is a rare occurrence with poor prognosis and limited treatment options. This case report presents a unique and previously unreported case of brain metastasis in a patient with dMMR (DNA mismatch repair-deficient) colorectal cancer. The patient, a 70-year-old male, initially presented with abdominal pain and was diagnosed with moderately differentiated adenocarcinoma of the right colon. Following surgical resection and adjuvant chemotherapy, the patient developed cognitive decline and was found to have a metastatic lesion in the left temporal lobe. Immunohistochemical analysis revealed MSH2 positivity and MSH6, MLH1, and PMS2 negativity, indicating dMMR status. Further genetic testing showed wild-type Kras, Nras, and Braf, and high tumor mutational burden (TMB). The patient was subsequently treated with pembrolizumab immunotherapy, resulting in a significant improvement of symptoms and a reduction in the size of brain metastasis. This case highlights the rarity and challenging management of brain metastasis in colorectal cancer, particularly in the context of dMMR tumors. The successful use of immunotherapy in this case provides valuable insights into the potential efficacy of immune-based treatments for dMMR colorectal cancer with brain metastasis, underscoring the need for further research in this field.
The role of microbiota in tumorigenesis, progression and treatment of bladder cancer
Authors: Peng Zijing , Zhuang Jingming , Shen Bing
Published: November 2023

For decades, the urinary system was regarded as a sterile environment due to the absence of any bacterial growth in clinical standard urine cultures from healthy individuals. However, a diverse array of microbes colonizes the urinary system in small quantities, exhibiting a variable compositional signature influenced by differences in sex, age, and pathological state. Increasing pieces of evidence suggest microbiota exists in tumor tissue and plays a crucial role in tumor microenvironment based on research in multiple cancer models. Current studies about microbiota and bladder cancer have preliminarily characterized the bladder cancer-related microbiota, but how the microbiota influences the biological behavior of bladder cancer remains unclarified. This review summarizes the characteristics of microbiota in bladder cancer, aims to propose possible mechanisms that microbiota acts in tumorigenesis and progression of bladder cancer based on advances in gut microbiota, and discusses the potential clinical application of microbiota in bladder cancer.
Entropy and Its Application to Number Theory
Authors: Fujino Seiji
Published: November 2023

In this paper, we propose an extension of the Planck distribution function derived from the Boltzmann principle. That is, we consider extending Planck's law with new distribution functions. In addition, using ideas applied to the expansion of the Planck distribution function, Von Koch's inequality is derived without using the Riemann hypothesis, showing that the abc conjecture is negated. We also describe some challenges for the future. Namely, we will discuss that Entropy is related to dynamical systems described by logistic function models, such as the bacterial and the population growth.
Hyperparameter Optimization and Combined Data Sampling Techniques in Machine Learning for Customer Churn Prediction: A Comparative Analysis
Authors: Imani Mehdi , Arabnia Hamid Reza
Published: November 2023

This paper explores the application of various machine learning techniques for predicting customer churn in the telecommunications sector. We utilized a publicly accessible dataset and implemented several models, including Artificial Neural Networks, Decision Trees, Support Vector Machines, Random Forests, Logistic Regression, and gradient boosting techniques (XGBoost, LightGBM, and CatBoost). To mitigate the challenges posed by imbalanced datasets, we adopted different data sampling strategies, namely SMOTE, SMOTE combined with Tomek Links, and SMOTE combined with Edited Nearest Neighbors. Moreover, hyperparameter tuning was employed to enhance model performance. Our evaluation employed standard metrics such as Precision, Recall, F1-Score, and the Receiver Operating Characteristic Area Under Curve (ROC AUC). Regarding the F1-Score metric, CatBoost demonstrates superior performance compared to other machine learning models, achieving an outstanding 93% following the application of Optuna hyperparameter optimization. In the context of the ROC AUC metric, both XGBoost and CatBoost exhibit exceptional performance, recording remarkable scores of 91%. This achievement for XGBoost is attained after implementing a combination of SMOTE with Tomek Links, while CatBoost reaches this level of performance after the application of Optuna hyperparameter optimization.
Business Analysis of Waqf-Based Business Enterprises at Pesantren Moden Gontor Putri 3
Authors: triyawan andi
Published: November 2023

The purpose of this study was to determine the income, costs and revenue of the Gontor Putri 3 bakery. Want to know the efficiency of the bakery business in Karangbanyu Regency. The method used in this research is analytical descriptive by conducting a survey. The data used in this research is primary data. Data collection techniques use observation, interviews and documentation, while the process of analysis is quantitative descriptive. Using the R/C ratio, a value of 1.72 per month is obtained. This value indicates that the bakery factory in Karangbanyu is efficient because the value is more than one.
White Paper Textile Fibre Recycling Technologies
Authors: Stubbe Birgit , Van Vrekhem Stijn , Huysman Sofie , Tilkin Rémi G. , De Schrijver Isabel , Vanneste Myriam
Published: November 2023

As both governments and customers push for sustainable and recyclable textile products, textile companies will have to change their linear business model to a circular one. The aim of the present work is to help these companies take action by providing an update of the state-of-the-art of textile recycling technologies. Extensive desktop research was performed in order to prepare an overview of existing textile recycling technologies, their current state and prognosis, including also facilitating technologies for sorting and disintegration of textile products as well as virtual platforms that connect stakeholders and inform consumers.
Evolution and Equilibrium of a Low Carbon E-commerce Closed-Loop Supply Chain Recycling System: An Evolutionary Game Approach
Authors: Ruimin Ma , Lifei Yao
Published: November 2023

The rapid advancement of technology has led to increased electronic consumption and a corresponding rise in e-waste generation. To address this issue, this study develops a low-carbon e-commerce closed-loop supply chain (LCE-CLSC) system with remanufacturer, platform, and the government as key stakeholders. An evolutionary game approach is employed to investigate the system's dynamics, analyzing the impact of stakeholder strategies on system equilibrium. Numerical simulations reveal important findings: Firstly, government initiatives promoting recycling, carbon taxes on traditional products, can incentivize remanufacturers to produce low-carbon items and encourage platform investment in recycling services. Secondly, higher sales revenues motivate remanufacturers to produce low-carbon products. Thirdly, consumer sensitivity to recycling services strengthens waste recovery when platforms increase investments in these services, leading to remanufacturers choosing low-carbon production. Lastly, government subsidies may become ineffective if the cost of remanufacturers' carbon reduction and platforms' recycling services exceeds their affordability. These findings offer insights for the sustainable development of obsolete electronic product recycling systems.
Effects of the Abandonment of Traditional Cultural Practices on Epiphytic Bryolichenic Communities in Chestnut Orchards in NW Spain
Authors: Paz-Bermúdez Graciela , Fernández-Salegui Ana Belén , Hespanhol Helena , López de Silanes Mª Eugenia , Vieira Cristiana , Calviño-Cancela María
Published: November 2023

This study delves into the impact of contrasting management practices on epiphytic bryolichenic communities, shedding light on their divergent responses to management regimes on Castanea sativa orchards. Lichens and bryophytes were sampled in managed and abandoned plots, in 95 trees, in north and south sides and at two heights in Galicia (NW Spain). The studied groups exhibit opposing reactions to these management practices, bryophytes suffer adverse effects in managed stands, experiencing reduced cover and species richness compared to abandoned orchards, while lichens displayed heightened cover and species diversity. The size of trees, included as a covariate in our analyses, displayed no significant impact on the overall species richness of lichens or bryophytes, although it did influence the cover of specific functional traits. These differing outcomes are linked to alterations in environmental conditions brought by management interventions. Furthermore, the study uncovers divergent responses within the taxonomic and functional composition of epiphytic communities. Different species and functional groups exhibit varying reactions to changing environmental conditions, making predictions a complex endeavor. In conclusion, this research emphasizes the need for management strategies that account for the diverse ecological requirements of different species and functional groups. Since no single management regime will suit all species or functional groups.
An Efficient Closed-form Formula for Evaluating r-flip Moves in Quadratic Unconstrained Binary Optimization
Authors: Alidaee Bahram , Wang Haibo , S.Sua Lutfu
Published: November 2023

The quadratic unconstrained binary optimization (QUBO) is a classic NP-hard problem with an enormous number of applications. Local search strategy (LSS) is one of the most fundamental algorithmic concepts that has been successfully applied to a wide range of hard combinatorial optimization problems. One LSS that has gained the attention of researchers is the r-flip (also known as r-Opt) strategy. Given a binary solution with n variables, the r-flip strategy ‘flips’ r binary variables to get a new solution if the changes improve the objective function. The main purpose of this paper is to develop several results for implementation of r-flip moves in QUBO, including a necessary and sufficient condition that when a 1-flip search reaches local optimality, the number of candidates for implementation of the r-flip moves can be reduced significantly. The results of the substantial computational experiments are reported to compare an r-flip strategy embedded algorithm and a multiple start tabu search algorithm on a set of benchmark instances and three very-large-scale QUBO instances. The r-flip strategy implemented within the algorithm makes the algorithm very efficient, very high-quality solutions within a short CPU time.
WhatsApp as a Tool for Customer Relationship Management in Education: Opportunities, Challenges, and Future Directions
Authors: Williams Ryan Thomas
Published: November 2023

The rapid expansion of social media and instant messaging applications, such as WhatsApp, has transformed how individuals and organizations communicate and engage. This think piece explores the potential of integrating WhatsApp as a customer relationship management (w-CRM) tool within the education sector to foster and sustain long-term relationships among students, teaching staff, and non-teaching staff. By leveraging real-time features and the widespread use of WhatsApp, educational institutions can create a more interactive and dynamic learning environment, benefiting all stakeholders involved. The literature highlights the importance of establishing clear frameworks for mutual engagement and interaction and the potential of w-CRM to improve communication between students' families and educational institutions. There are potential risks associated with the pervasive use of WhatsApp, and call for future research to explore strategies for mitigating these risks while maximizing the benefits of w-CRM in the education sector. Longitudinal studies are recommended to evaluate the long-term impact of w-CRM on stakeholder relationships, student outcomes, and overall institutional performance.
Effect of Re Addition on Microstructure and Oxidation Resistance of Co-Cr-Ta-Ti-C Alloys
Authors: Moreau Louis Etienne , Banoth Santhosh , Ishida Akira , Murakami Hideyuki
Published: November 2023

This study investigates the effect of Re addition on the microstructure evolution and oxidation resistance of Co-Cr-Ta-Ti-C alloys. The alloys tested in this study consist of a Co-rich matrix with mixed HCP and FCC phases, together with TaTiC2 and Ti-based carbides. The addition of Re promotes the precipitation and growth of a CoCr-rich σ phase. Differential thermal analysis (DTA) showed that the melting temperatures did not change drastically up to 10 at% Re addition, whereas 15 at% Re addition significantly increased the melting temperature of the alloys. Oxidation tests in air at 1200°C showed that excessive Re content could lead to deterioration in oxidation resistance, mainly due to the accelerated formation of volatile Re oxides.
PRIMPOL and POLI Deficiencies Differentially Affect DNA Repair and Post-Irradiation Survival of Non-Small Cell Lung Cancer Cell Lines
Authors: Pustovalova Margarita , Malakhov Philipp , Nofal Zain , Moroz Irina , Trubchenkova Taisia , Gromova Anastasia , Leonov Sergey
Published: November 2023

Radiation therapy (RT) is one of the main approaches of cancer therapy, including non-small cell lung cancer (NSCLC). Radiation-induced DNA double-stranded breaks (DSBs), single-stranded DNA breaks (SSBs) and oxidized nucleobases cause replication fork stalling, chromosomal instability or point mutagenesis and can lead to cell death. Translesion DNA synthesis (TLS) is one of the DNA damage tolerance (DDT) pathways promoting replication of damaged DNA. Here, we explored the effects of the knockout of primase-polymerase PRIMPOL (PRIMPOL −/−) and TLS polymerase POLI (POLI −/−) genes in two different monoclonal lines derived from human NSCLC A549 cells. Our study aimed to investigate the impact of their absence on the susceptibility of these cells to ionizing radiation (IR)-induced stress. Without IR, cells that do not have PRIMPOL or POLI experience a considerable rise in apoptosis by day 7 of continuous cultivation and a noteworthy decline in cell migration under spatial confinement when compared to the parental wild-type cells. Despite this, we have found that PRIMPOL −/− exhibited higher clonogenic survival compared to wild-type cell lines in response to IR stress. Both of these cell lines demonstrated remarkable resilience to radiation stress, surpassing the survival rate of the original A549 cells. POLI deficiency reduces cellular γH2AX foci accumulation, while the presence of highest number of γH2AX foci in PRIMPOL−/− cells was ATM-independent. We report for the first time that increased post-irradiation clonogenic survival of PRIMPOL −/− A549 cells might be associated with the increase of CD133+ but not CD44+ populations of cancer stem-like cells.
An Improved Ensemble Learning-Based Approach for Retail Product Recognition
Authors: Lin Huei-Yung , Hsieh Po-Yu , Chou Sen-Yih , Chang Chin-Chen
Published: November 2023

Due to the recent trend of unmanned economy, retail stores have gradually reduced their service and cashier manpower. The retail product recognition becomes one of key issues for unmanned shopping. Although the success of deep neural networks has made object recognition feasible in a variety of applications, it still struggles to perform well on a large number of classes of retail products. In this paper, we propose an improved ensemble learning-based approach for retail product recognition. In the proposed approach, the object classification network is first improved through feature extraction and block attention. An ensemble model is then built by integrating multiple network models and using loss selection as model weights. In the experiments, the feasibility of our ensemble learning-based approach has been evaluated through many production items. The results demonstrate the effectiveness of the proposed approach compared with previous retail product recognition methods.
Behavior of FRP-Retrofitted Wall-Like RC Columns after Preloading to Simulate In-Service Conditions
Authors: ELSANADEDY HUSSEIN , Abbas Husain , ALMUSALLAM TAREK , Al-Salloum Yousef
Published: November 2023

Keywords: Wall-like RC columns; Strengthening; FRP; NSM rebars; Steel plates; Testing; FE modeling; Preloading.
Combined Prognostic Value of Pre-procedural Protein-Energy Wasting and Inflammation Status for Amputation and/or Mortality After Lower Extremity Revascularization in Hemodialysis Patients With Peripheral Arterial Disease
Authors: Kumada Yoshitaka , Kawai Norikazu , Ishida Narihiro , Nakamura Yasuhito , Takahashi Hiroshi , Ohshima Satoru , Ito Ryuta , Izawa Hideo , Murohara Toyoaki , Ishii Hideki
Published: November 2023

Background: Although lower extremity revascularization is commonly performed in hemodialysis patients, poor prognosis remains a major problem. Protein-energy wasting is reportedly associated with chronic inflammation and advanced atherosclerosis in hemodialysis patients. We investigated the association between the geriatric nutritional risk index (GNRI) as a surrogate marker of protein-energy wasting, C-reactive protein (CRP), and their joint roles in the prediction of amputation and/or mortality. Methods: We enrolled 800 patients successfully underwent lower extremity revascularization. Patients were divided into low, middle and high tertile (T1, T2 and T3) according to GNRI and CRP levels, respectively. Results: Amputation-free survival rates for 8 years were 47.0%, 56.9%, and 69.5% in T1, T2, and T3 of the GNRI, and 65.8%, 58.7%, and 33.2% for T1, T2, and T3 of CRP, respectively (p<0.0001 for both). Declined GNRI [adjusted hazard ratio (aHR) 1.78, 95% confidence interval (CI) 1.24-2.59, p=0.0016 for T1 vs. T3] and elevated CRP (aHR 1.86, 95%CI 1.30-2.70, p=0.0007 for T3 vs. T1) were independent predictors of amputation and/or mortality. In the combined setting of both variables, the risk was 3.77-fold higher (95% CI 1.97-7.69, p<0.0001) in the T1 of GNRI with T3 of CRP than in the T3 of GNRI with T1 of CRP. Conclusions: Patients with pre-procedural decreased GNRI and elevated CRP levels frequently experienced amputation and/or mortality, and a combination of both variables could more accurately stratify the risk.
The Potential Use of Blockchain Technology in Public Service A Systematic Literature Review
Authors: Riyoldi Riyoldi , Muhtar Entang Adhy , Karlina Nina
Published: November 2023

Blockchain is considered a technological trend with a unique and unprecedented foundation of ways of working, and has the potential to fundamentally change society in conducting activities related to the public or private sector. Although the academic literature on blockchain is generally focused on cryptocurrencies, in recent years, literature with different perspectives has begun to emerge regarding the use of blockchain in the context of the public sector. The unique characteristics of how blockchain technology works make it an innovation that is expected to change many activities, structures, and processes related to the implementation of public sector activities, especially in public services such as administrative processes, welfare provision, and regulatory practices. This article discusses through a systematic literature review about the potential use of blockchain in public services. This literature review identifies the types of public services most likely affected by the introduction of blockchain. In addition, this article highlights the benefits, potentials, and challenges and risks of blockchain for governments and citizens/society in general. Governments, in general, can optimize efficiency and tracking through the use of blockchain, but regulatory uncertainty and scalability capabilities being major challenges, which are still poorly researched in the literature, can benefit from reduced bureaucracy and improved coordination through blockchain adoption, despite the lack of blockchain knowledge and skills being significant barriers to its implementation. For citizens or the public, security and transparency are key benefits, while the main risk lies in data security concerns. The article closes by noting a number of limitations in the existing literature and providing suggestions and recommendations for future research.
Optimization of the Culture Conditions of Bacterial Strains (Escherichia coli LR0250096.1 and Pseudomonas aeruginosa CP031449.2) to Produce Lignin Peroxidase
Authors: Dube Sindiswa Lungile , Osunsanmi Foluso Oluwagbemiga , Ikhane Albert Oluwafemi , Mosa Rebamang Anthony , Opoku Andrew Rowland
Published: November 2023

Lignin, and its by-products in the effluent of most agrochemical-based industries like pulp and paper, increase environmental pollution. There is, therefore, an increasing demand to degrade lignin and its derivatives using bacteria-produced ligninolytic enzymes. This study focused on optimizing growth and lignin peroxidase production of ligninolytic potential bacterial strains (E. coli accession no: LR0250096.1 and P. aeruginosa accession no: CP031449.2) for the first time. A submerged fermentation process was used to simultaneously optimize growth and crude lignin peroxidase production using kraft lignin as the substrate. The E. coli and P. aeruginosa were separately cultured under different pH, temperature, lignin (substrate) concentration and incubation periods. It was observed that the enzyme production was growth dependent. The optimum conditions for E. coli were pH 7.5, temperature 30 °C and lignin concentration 1 g/L. For P. aeruginosa the best conditions were pH 6.5, temperature 40 °C and lignin concentration 1 g/L. The enzyme production peaked after 7 days of incubation for both organisms were 21.53 ± 3.11 mg/ml and 18.13 ± 2.1 mg/ml respectively. It is apparent that both E. coli (LR0250096.1) and P. aeruginosa (CP031449.2) are mesophiles bacteria. E. coli function best in alkaline pH while P. aeruginosa prefers a slightly acidic environment. Hence, they are promising candidates in the reduction of lignocellulosic wastes.
Thermal, Spectroscopy, and Mechanical Properties of Biodegradable Polymers and Reinforcements: A Green Approach
Authors: Melo dos Santos João J. , Sabino da Evanimek B. , Paskocimasa Carlos A.
Published: November 2023

Biocomposite membranes based on polylactic acid (PLA) and cellulose nanocrystals (CNCs) were developed using a scientific approach. Dicumyl peroxide (DCP) was used as a polymerization ini-tiator, while tin octoate (Sn(Oct)2) and triphenylphosphane (P(C6H5)3) were used as catalysts. A torque rheometer was used to mix the components of the biocomposite, and thin films was prepared by solvent casting. Fourier transform infrared (FTIR) spectroscopy confirmed the coupling between the PLA and CNCs. Field emission scanning electron microscopy (FESEM) showed that the CNCs were well-dispersed in the PLA matrix with an unimodal particle size distribution and a maximum particle size of around 200 nm. Thermogravimetric analysis (TGA) and differential scanning calo-rimetry (DSC) analysis demonstrated good thermal stability and improved biodegradability of the biocomposite membrane compared to pure PLA. Mechanical characterization showed a Young's modulus of 1.65 GPa, which is comparable to that of other composite materials, and a maximum tensile strength of 20.31 MPa, which is higher than that of pure PLA. These results suggest that the developed biocomposite membrane has potential applications in water filtration, food packaging, and biomedical devices.
Regulation Law of Tempering Cooling Rate on Toughness of Medium Carbon Medium
Authors: Yang Chao , Xu Ting-ting , Zhao Hong-shan , Hu Chun-dong , Dong Han
Published: November 2023

Temper embrittlement is a major challenge encountered during the heat treatment of high-performance steels for large forgings. This study investigates the microstructural evolution and mechanical properties of Cr-Ni-Mo-V thick-walled steel, designed for new large forgings with a tensile strength of 1500 MPa, under different tempering cooling rates. Optical microscopy (OM), scanning electron microscopy (SEM), and electron backscatter diffraction (EBSD) were employed to analyze the microstructural features. The results demonstrate that the embrittlement occurring during air cooling after tempering is attributed to the concentration of impurities near Fe3C at the grain boundaries. The low-temperature impact toughness at -40°C after water quenching reaches 29 J due to the accelerated cooling rate during tempering, which slows down the diffusion of impurity elements towards the grain boundaries, resulting in reduced concentration and dislocation density, and increased stability of the grain boundaries, thereby enhancing toughness. the bainite content decreases and the interface between martensite and bainite undergoes changes after water quenching during tempering. These alterations influence the crack propagation direction within the two-phase microstructure, further modifying the toughness. These findings contribute to the understanding of temper embrittlement and provide valuable guidance for optimizing heat treatment processes to enhance the performance of high-performance steels in large forgings.
Development and Psychometric Test of The Salutogenic Survey on Sustainable Working Life for Nurses: Identifying Resistance Resources Against Stress
Authors: Eriksson Monica , Kerekes Nóra , Emilsson Maria , Pennbrant Sandra , Nunstedt Håkan
Published: November 2023

Abstract:
Extensive research shows nurses’ work environment to be particularly stressful. This study develops, explores, and psychometrically tests a new profession specific ques-tionnaire identifying generalized and specific resistance resources, that make it possible to measure resources to manage work-related stress. An exploratory study design was em-ployed. The questionnaire was developed inspired by the MEASURE approach and the salutogenic theory of health. Building on the results from a literature review of nursing re-search and salutogenesis, supplemented by twelve interviews with hospital nurses, an item pool was generated. A first version was pilot tested in a group of nurses who were studying to become specialist nurses. A second version of the questionnaire was psycho-metrically tested on nurses in close patient care (n = 475), analysed using Principal Com-ponent Analysis as the extracting technique to identify the underlying structure of the questionnaire. The Principal Component Analysis revealed a four-component model of 19 items. “Manageability as a resource for handling the workload” was the strongest compo-nent, accounting for 21 % of the explained variance. “Contacts with patients as resources for nurses’ job satisfaction” (17.8 %). “Professional attitudes are labelled as resources to nursing” (15 %). “Colleagues are important resources for remaining in the nursing profes-sion” (11 %). The structure of the questionnaire indicates its usefulness in clinical practice for measuring resistance resources.
Efektifitas Promosi Kesehatan Menggunakan Video Senam Rehabilitasi Vestibuler untuk Mengurangi Keluhan Vertigo di Masa Pandemik
Authors: Mirawati Diah Kurnia , Tedjo Raden Andi Ario , Budianto Pepi , Prabaningtyas Hanindia Riani , Ristinawati Ira , Subandi Subandi , Danuaji Rivan , Hafizhan Muhammad , Putra Stefanus Erdana
Published: November 2023

Vertigo merupakan sensasi gerakan atau rasa gerak dari tubuh seperti sensasi berputar namun tanpa adanya sensasi berputar yang sebenarnya. Vertigo paling sering disebabkan oleh disfungsi pada sistem vestibular dari lesi perifer maupun sentral. pada masa pandemi COVID-19 sebagian besar pasien vertigo mengalami kesulitan untuk rutin memeriksakan diri di rumah sakit. Oleh karena itu, dicari alternatif berupa perawatan non farmakologis agar pasien bisa tetap mengontrol keluhan penyakitnya di masa pandemi ini. Senam rehabilitasi vestibular melatih otak melalui petunjuk visual dan proprioseptif alternatif untuk menjaga keseimbangan. Penelitian ini dibuat untuk mengetahui efektifitas promosi kesehatan menggunakan video senam rehabilitasi vestibuler untuk mengurangi keluhan vertigo. Penyelenggaran penyuluhan pada anggota posyandu lansia ANTHURIUM, Kelurahan Tegalrejo yang diikuti sebanyak 47 orang. Sebelum dan sesudah penyuluhan dilakukan evaluasi terkait pengetahuan peserta mengenai vertigo melalui pretest dan posttest. Data hasil evaluasi menunjukkan adanya perbaikan pengetahuan peserta dari skor rata rata awal 62.4 menjadi 83.7.
Implementasi Sistem Penyiraman Otomatis Pada Kumbung sebagai Upaya Peningkatan Hasil Budi Daya Jamur Tiram Desa Menawan
Authors: Wibowo Budi Cahyo , Rozaq Imam Abdul
Published: November 2023

Jamur tiram atau dalam bahasa latin disebut Pleurotus ostreatus adalah jamur dengan ciri fisik berbentuk cekung seperti cangkang tiram. Konsumsi jamur tiram yang semakin meningkat tiap tahunnya dan potensi pasar luar negeri yang tinggi untuk konsumsi jamurnya menjadikan produksi jamur tiram perlu ditingkatkan. Petani jamur tiram di desa menawan mengalami permasalahan dalam peningkatan produksi jamur diantaranya adalah proses perawatan budidaya jamur yang memerlukan perhatian khusus, diantaranya adalah proses penyiraman yang rutin dan terjadwal sehingga petani harus secara rutin melakukan penyiraman untuk menjaga kelembaban kumbung jamur tiram sehingga tidak efisien dari segi waktu dan tenaga. Berdasarkan permasalahan tersebut maka diperlukan teknologi tepat guna untuk melakukan penyiraman secara otomatis berbasis IoT melalui smartphone yang telah diimplementasikan pada kumbung jamur tiram di desa menawan kabupaten kudus. Dengan implementasi teknologi ini maka penyiraman jamur tiram dapat dilakukan melalui jarak jauh sehingga petani jamur tiram tidak harus datang ke kumbung untuk melakukan penyiraman. Sistem penyiraman otomatis ini bekerja berdasarkan kondisi kelembaban udara pada kumbung yang terbaca oleh sensor pH. Hasil panen jamur dengan menerapkan sistem penyiraman otomatis berhasil meningkatkan hasil panen dalam waktu 14 hari dengan kenaikan 83% atau naik 1.209 gram dari hasil panen dengan  penyiraman konvensional pada media uji 15 baglog jamur tiram.
Diseminasi Riset Kecerdasan Buatan Untuk Diagnosis Medis Berbasis Elektrokardiogram di Universitas Duta Bangsa
Authors: Nuryani Nuryani , Purnama Budi , Legowo Budi , Utari Utari , Riyatun Riyatun , Suharno Suharno , Yunianto Mohtar , Lestari Wiji
Published: November 2023

Kegiatan pengabdian masyarakat ini memaparkan diseminasi riset yang bertujuan untuk memperkenalkan konsep kecerdasan buatan (artificial intelligence/AI) dalam diagnosis medis berbasis elektrokardiogram (EKG) kepada para dosen di Fakultas Ilmu Komputer, Universitas Duta Bangsa. Kegiatan ini bertujuan untuk meningkatkan pemahaman para dosen tentang potensi aplikasi AI dalam bidang kesehatan dan memberikan wawasan baru mengenai penggunaan EKG dalam diagnosis gangguan kesehatan. Para dosen diajak untuk mempelajari aplikasi AI dan teknik-teknik yang digunakan dalam analisis EKG. Hasil dari kegiatan ini menunjukkan bahwa para dosen memiliki minat yang tinggi dalam menerapkan kecerdasan buatan dalam bidang medis, khususnya dalam diagnosis penyakit jantung melalui EKG. Mereka memahami potensi besar yang dimiliki oleh AI dalam meningkatkan akurasi dan kecepatan diagnosis, serta membantu dalam pengambilan keputusan klinis yang lebih baik.
Collaborative Filtering with q-Divergence-Based Relational Fuzzy c-Means Clustering
Authors: Kanzawa Yuchi , Atsuta Kaoru , Midorikawa Genki
Published: November 2023

This paper presents a collaborative filtering (CF) algorithm for a recommendation system motivated by the need for higher recommendation accuracy. Cluster analysis captures information from a group of users such that users within a given cluster are more similar to each other than to those in other clusters. Therefore, clustering helps to detect similar users. However, inconsistent similarity measures have been applied during the clustering and prediction stages in the literature. Hence, this study resolves such discrepancies through the proposed CF algorithm, which uses fuzzy clustering for relational data such that a common similarity measure is applied to both the clustering and prediction stages. Experiments were conducted with ten datasets based on an artificial dataset and 40 datasets based on eight real datasets to demonstrate that the proposed algorithm could achieve a higher CF accuracy than conventional methods.
Türkiye’de Kamu Harcamaları ve İşsizlik Arasındaki İlişkilerin Fourier Eşbütünleşme Testi ile Analizi
Authors: DOĞANER Ayça
Published: November 2023

Makroekonomi için en önemli unsurlardan bir tanesi kamu sektörüdür. Kamu harcamalarının etkin olup olmadığı tüm ülke ekonomilerinde araştırmacılar tarafından çalışılan önemli bir husustur. Bu çalışmada, Türkiye ekonomisindeki kamu harcamalarının işsizlik oranları üzerindeki etkilerinin 1980-2020 dönemi için araştırılması amaçlanmaktadır. Araştırma kapsamında, kamu harcamaları ve işsizlik oranı değişkenlerinin durağanlıklarını sınamak için Fourier fonksiyonlarına dayalı birim kök testi yapılmıştır. Yapılan Fourier KPSS birim kök testine göre, kamu harcamaları ve işsizlik oranı değişkenlerinin düzeyde durağan olmadıkları, birinci mertebeden durağan oldukları sonucuna ulaşılmıştır. Modeldeki trigonometrik terimlerin istatistiksel açıdan anlamlı olduğu belirlendikten sonra değişkenler arasındaki ilişkilerin tespiti için Tsong, Leei Tsai ve Hu (2016) Fourier Eşbütünleşme testi uygulanmıştır. Çalışmadan elde edilen sonuçlarda, Türkiye’de kamu harcamaları ile işsizlik oranlarında meydana gelen artış ve azalışların birbirlerini etkilediği tespit edilmiştir. Söz konusu etkinin işsizlik oranlarında meydana gelen 1 birim artışın, kamu harcamalarını 0.38 birim oranında artırdığı şeklinde ifade edilebilir.
Geleneksel ve İslami Hisse Senedi Endekslerinin COVID-19 Öncesi ve COVID-19 Dönemi Getiri Performanslarının Değerlendirilmesi
Authors: KANDEMİR Tuğrul , UÇAR Gözde
Published: November 2023

Çalışmanın amacı Borsa İstanbul'da işlem gören BIST-50 ve BIST-30 geleneksel hisse senedi endeksleri ile KAT-50 ve KATLM-30 İslami endekslerinin getiri performanslarını, BIST-100 piyasa endeksinin performansı temelinde değerlendirmektir. Çalışmanın örneklemi 9 Temmuz 2014-10 Mart 2020 COVID-19 pandemi öncesi ve 11 Mart 2020-30 Eylül 2021 COVID-19 pandemi dönemi olarak iki alt dönemden oluşmaktadır. Endekslerin günlük kapanış değerlerinin ele alındığı çalışmada getiri performansları, Riske Göre Düzeltilmiş performans ölçütleri olan Sharpe, Treynor ve Jensen Alfa analizleriyle değerlendirilmiştir. Elde edilen bulgulara göre COVID-19 öncesi dönemde en yüksek ortalama kazanç geleneksel endekslerden, COVID-19 döneminde ise İslami endekslerden sağlanmıştır. COVID-19 öncesi dönemde geleneksel endekslerin getirileri, COVID-19 döneminde ise İslami endekslerin getirileri piyasa dalgalanmalarına karşı daha duyarlı olarak tespit edilmiştir. Bu bakımdan sistematik riski ve getirisi en yüksek yatırım araçları COVID-19 öncesi dönemde geleneksel endeksler iken, COVID-19 döneminde İslami endeksler olarak belirlenmiştir. Son olarak her bir performans ölçütüne göre pandemi öncesi dönemde geleneksel endeksler daha yüksek getiri performansı sergilerken, COVID-19 döneminde ise İslami endekslerin daha yüksek performans sergilediği ortaya konulmuştur. Sonuç olarak endeks yatırımları değerlendirildiğinde pandemi öncesi dönemde geleneksel endekslerin, volatilitenin yüksek olduğu çalkantılı dönemlerde ise İslami endekslerin yatırımcılar için daha iyi bir seçenek olacağı öngörülmüştür.
Geological Aspects of the Formation and Distribution of Gas Anomalies in Bottom Sediments of the New Siberian Sedimentary Basin and Adjacent Geostructures of the East Siberian Sea
Authors: Gresov A.I. , Yatsuk A.V.
Published: November 2023

—In bottom sediments of the New Siberian sedimentary basin and adjacent geostructures of the East Siberian Sea, we identified СН4, as well as its limit and unsaturated homologues (up to and including C5H12), CO2, CO, H2, He, H2S, O2, N2, and Ar. Isotope-gas-geochemical parameters δ13С СО2, СН4 and С2Н6, of the molecular mass of hydrocarbon fraction and genetic coefficients indicate the presence of both syngenetic and epigenetic gases of various gas sources in sediments, including recent sediments, peatlands, coal-bearing and gas-bearing formations, solid bitumen, igneous formations, accumulations of gas hydrates and prognostic condensate-gas, condensate, oil-and-gas and gas-and-oil reservoirs. Concentrations of CO2 and CO reach 29.25 and 0.06 cm3/kg, CH4 and the sum of its homologues – 5.93 and 0.031, Н2 and He – 0.78 and 0.318, H2S – 0.092 cm3/kg; this indicates that gas-geochemical anomalies, exceeding the anomaly criteria by 6–124 times, form in bottom sediments. The formation and distribution of abnormal concentrations of natural gases depend on the complex influence of gas-controlling factors – geological structure, fold and fault tectonics, magmatism, coal-oil-gas content, bituminous content, organic saturation, lithological composition, water-physical and reservoir properties of sediments, hydrogeological, geocryological and other conditions for accumulation of natural gases or their degassing.
Geographic Object-Based Image Analysis (GEOBIA) for Landslide Identification using Machine Learning on Google Earth Engine (GEE)
Authors: Khadka Diwakar , Zhang Jie
Published: November 2023

Landslides significantly threaten human life and infrastructure, requiring accurate and timely identification for effective hazard assessment and management. In this study, we propose a novel approach for landslide identification by integrating Geographic Object-Based Image Analysis (GEOBIA) with advanced techniques and machine learning algorithms. Our methodology includes Simple Non-iterative Clustering (SNIC) segmentation, which divides the image into super-pixels, enabling a detailed analysis at the object level, Gray Level Co-occurrence Matrix (GLCM) feature extraction, which is employed to capture important textural information, Principal Component Analysis (PCA) for dimensionality reduction which helps to reduce the dataset's complexity by transforming the original set of variables into smaller sets of uncorrelated variables recognized as principal components, and the utilization of various machine learning algorithms such as (i) Support vector machine (SVM), (ii) Random Forest (RF), and (iii) Classification and Regression Trees (CART). We utilize the Google Earth Engine (GEE) platform to leverage extensive geospatial data and computational power. The performance of SVM, RF, and CART algorithms is evaluated for landslide detection. SVM demonstrates superior accuracy in detecting landslides, achieving an overall accuracy of 89.01%, surpassing RF (87.82%) and CART (73.31%). The effectiveness of our proposed approach, which involves integrating SNIC segmentation, GLCM feature extraction, PCA analysis, and SVM classification, has been underscored in accurately and efficiently identifying landslides. Combining advanced techniques and machine learning algorithms within the GEOBIA framework with the GEE platform offers promising results for improving landslide identification, monitoring, risk assessment, supporting proactive measures, and mitigating landslide risks.