bluuebunny/crossref_metadata_2025 huggingface dataset:
EKSPLORASI PEMBELAJARAN ORGANISASI MENGGUNAKAN FRAMEWORK 4I (INTUITING, INTERPRETING, INTERGRATING DAN INSTITUTIONALIZING) Studi Kasus pada UMKM Batik Tulis Lasem di Kabupaten Rembang
Authors: Rosyidi Syaiko
Published: December 2024

MSMEs have a significant role in the economy in Indonesia. Micro, Small and Medium Enterprises (MSMEs), is one of the leading driving forces in economic development (LPPI and BI, 2015). In Indonesia itself, the existence of small industries is very important in saving the national economy. In Indonesia MSMEs have become an important part of the economic system. MSMEs are also able to create considerable employment opportunities for domestic workers, so it is very helpful in reducing the number of unemployed.This study aims to examine organizational learning with the 4I framework (intuiting, interpreting, integrating and institutionalizing) that is applied and carried out by Batik Tulis Lasem MSMEs in Rembang District based on the business scale of small business groups and medium business groups. As well as examining the factors that become obstacles and driving the success of organizational learning in Batik Tulis Lasem MSMEs in Rembang District.The results of the study show that: 1) The intuitive factors of individual SMEs in Batik are triggered by their level of experience, and subjective perceptions that lead to leaps of success. 2) The learning of organizational interpreting from Lasem Batik Entrepreneurs is mostly obtained from the feedback of interaction with stakeholders. 3) Integrating learning of the Batik Tulis Lasem MSMEs  organization  that  is  more  sharing  among  fellow  batik  entrepreneurs,  enriching  their insights and knowledge, so that it becomes an awareness and shared learning that with a solid community (Cluster) Batik Tulis Lasem MSME can enhance mutual competitiveness. 4) Institalizing organizational learning in the form of a joint commitment to maintain handmade batik that is loaded with designs that contain artistic and philosophical values as well as ancestral cultural reflections that have high economic values that are preserved in clusters and instill in generations that occur by individuals and groups in organizations that include systems, structures, procedures, and strategies with a framework of cultural wisdom and values.
Analysis of Red Brick Product Quality Improvement at UD. Batu Bata Bulan Using CRISP-DM and C4.5 Algorithm
Authors: Septiana Widya , Tsani Farhan , Utami Silvia Firda , Andani Rina Meri
Published: December 2024

UD Batu Bata Bulan is a home industry in Batu Bulan Village that produces red bricks. The industry has been operating for 20 years and has been producing bricks every day. The home industry is facing problems related to the quality of red bricks that require appropriate action to improve to meet the desired quality. In addition, the home industry is still experiencing difficulties in conducting product quality inspections due to the lack of inspection technology to help the process. The problems faced can be detrimental to UD. Batu Bata Bulan. Therefore, it is necessary to analyze the causes of defective products in the process of producing red bricks and improve the quality of red brick products. Therefore, the researcher conducted an analysis to address the problems that occurred in the company related to product quality. The solution that can be given is to classify the type of defective product using the role of data mining. In this study, the standard Cross Industry Standard Process For Data Mining (CRISP-DM) procedure and C.45 Algorithm were used in data processing.The result of this research indicate significant knowledge in classifying black color defect in data this could facilitate the quality inspection department in making accurate decisions.
UI/UX Design of Stunting Survey Application Prototype User Centreed Design Method
Authors: Pawenrusi Esse Puji , Kamariana Kamariana , Kasma Andi Yulia , Wahyuni Eka , Aman Andryanto
Published: December 2024

The purpose of this research is to design UI/UX prototype of the stunting survey application according to user needs, namely (a) users can manage family data, (b), manage prospective bride data, (c) users can input questionnaire data, (d) search data, (e) see evaluation of questionnaire survey results, and (f) users can see the coordinate points of the survey results. The method used in the research is User Centered Design (UCD) which consists of 4 stages, namely Understand context of use, Specify user requirements, Design solutions, Evaluate against requirements. This research successfully designed the design and prototype of a stunting survey application that focuses on user needs and convenience. The prototype testing scenario was carried out with 2 experts who each have expertise in the field of UI/UX Designers and in the field of Public Health, the test results showed that the application interface was well received by the testers, and most tasks could be completed smoothly. This shows that the stunting survey application prototype has been made according to user needs, functional suitability, and easy to navigate by users. The results of this research are expected to be implemented in the actual environment so as to get feedback from users, in this case public health officers as surveyors.
Development Of A Web-Based E-Presence Application For Tracking Maps And Selfies Using Laravel
Authors: Suherman Asep , Ibrahim Rohmat Nur , Seftiansyah Rifan , Idzharulhaq Zaidan
Published: December 2024

Attendance is an activity aimed at assessing the level of employee presence and discipline within an organization or company. The E-Presence application is developed as a tool to enhance efficiency, accountability, and transparency in employee attendance, as well as to facilitate the processing of attendance data The E-Presence application aims to reduce errors and improve the accuracy of employee attendance records, which are crucial for the decision-making process. The development of the E-Presence application uses the Laravel framework, MySQL database, and UML (Unified Modeling Language) tools to design Use Case Diagrams, Activity Diagrams, and Class Diagrams. The system development method follows the waterfall model, and Black Box Testing is employed as the testing method. The urgency of this research lies in the system's ability to perform real-time attendance tracking that can be conducted outside the office within a maximum distance of 20 meters. With the implementation of tracking maps, employees do not need to queue, thereby increasing work efficiency. Attendance recording can be done in real time, is flexible, easily accessible, improves efficiency in attendance recording, reduces the potential for errors, enhances human resource management, and provides attendance reports in Excel format. The novelty of this research is the development of a web-based application that incorporates Tracking Maps and Selfie features, ensuring that employees must be in a designated area to check in. Thus, the company/organization can easily analyze and evaluate employee discipline. The testing results indicate that the application functions well and meets user needs.
Cyber Pandemic – The New Cybersecurity Risks
Authors: Sukenda Sukenda , Zulpratita Ulil Surtia , Muttaqin Helmy Faisal , Wahyu Ari Purno , Yustim Benny
Published: December 2024

We are amidst a digital pandemic. In 2020, COVID-19 sped up a change towards remote working and the product being utilized for these assaults has become more straightforward to execute, ransom ware assaults have risen quickly and keep on speeding up in 2021. The COVID-19 pandemic has changed both the actual world and the computerized space, where organizations and associations are being gone up against with overwhelming online protection challenges for which not many were prepared or prepared to confront. Attributable to the extreme change in working conditions, cyber attacks and information extortion presently rank third among the best worries of business pioneers, as detailed in the World Economic Forum's COVID-19 Risks Outlook. The likelihood of malignant digital movement is considerably more upsetting thinking about that 53% of organizations have never pressure tried their systems. The key focus point from these and a large group of other alarming probabilities is that readiness for any kind of digital emergency whatsoever levels of an association is critical. Top administration, network protection trained professionals and each representative should know how to treat an emergency hit. Cyber security centers around securing information, yet it is presently not adequate; organizations need cyber resilience.
Leveraging Machine Learning for Sentiment Analysis in Hotel Applications: A Comparative Study of Support Vector Machine and Random Forest Algorithms
Authors: Suryadi Suryadi , Syahputra Dedek , Astrianda Nica , Syahputra Rizki Agam , Suhendra Rivansyah
Published: December 2024

This research aims to conduct sentiment analysis on user reviews of hotel booking applications such as Trivago, Tiket, Booking, Traveloka, and Agoda, collected from the Google Play Store. The dataset used consists of 5,000 user reviews, with 80% of the data allocated for training and 20% for testing. Two algorithms applied in this study are Support Vector Machine (SVM) and Random Forest, with performance evaluation based on accuracy, precision, recall, and F1-score metrics. The test results show that the Random Forest algorithm delivers the best performance on the Trivago application with 94% accuracy, 94% precision, 100% recall, and a 97% F1-score. Random Forest proves to be more effective in handling diverse review data, while the Support Vector Machine (SVM) algorithm also produces good results in sentiment classification. This research contributes to the development of sentiment analysis based on user reviews, which can be utilized by app developers and hotel management to improve service quality and user experience.
Solar Purchase Volume Prediction Using The K-Nearest Neighbor Algorithm Based On Backward Elimination
Authors: Prasetyo Aries Alfian , Pramono Yudi , Ulfiyah Laily , Fattah Misbakhul
Published: December 2024

The profit earned by a Public Filling Station or gas station comes from the purchase of fuel per period and sales in accordance with the volume amount. So the exact purchase volume will determine the turnover of each month. But the profit or turnover is often irregular, there are several causes such as the price of fuel that tends to change, the volume of orders that are not in accordance with consumer demand. With these prediction methods, the expected turnover is increased with more efficient purchases. This research was conducted to study about k-NN Algorithm and then apply k-NN Algorithm in data prediction. The data used are secondary data in the form of data on the number of purchases of BBM in volume liter in the period January 2012 - December 2024. The k values used are k = 1, K = 4, k = 5 and k = 7. Before calculation with k = 1 is done, determined the data of training and data testing, in this research determined as much 70% training data and 30% for data testing. Then the initial cluster determination of the training data based on the interval class. While the cluster in the data testing is determined based on testing with K = 4, k = 5 and k = 7. From the process of analysis and evaluation of the research predicted the volume of fuel purchases using the data ransed dataset that processed data into multivariate data, the process of analysis using K-NN method using 2,3,4 and 5 periods produce the smallest K located in the period to 3, so that the 3rd period will be predicted by K-NN based backward elimination. With the aim of finding the best method to predict the volume of fuel purchases, generate predictions with backward elimination, that the attribute weights in the period xt - 3 and in the period xt 1 selected as the reference in the prediction process, since the weight is 1. K = 13 is the K best way to perform the Analyzing process with K-NN for the prediction of fuel purchase volume, with K = 4 value of 45556,788. So in the analysis and prediction of oil fuel purchasing volume data, for the type of diesel, K is best K = 13 with K-NN analysis method with backward elimination process. The above results show that xt3 or week 3 and week xt1 to 1 in the last period of 2024 can be used as a reference in the purchase in the next year that is 2025.
Development of a multiplex real-time PCR assay for the detection of three species of bovine pestiviruses
Authors: Koteneva S.V. , Nefedchenko A.V. , Glotova T.I. , Glotov A.G.
Published: December 2024

The article presents the results of development of multiplex polymerase chain reaction in real time for detection and differentiation of three species of bovine pestiviruses (Pestivirus A, B and H). Synthetic oligonucleotide primers and probes complementary to the highly conserved 5/-UTR region of the genome, specific for all species of the genus Pestivirus and for each species separately were selected. The main parameters of the reaction were worked out. The analytical sensitivity of the developed real-time PCR was 1,6×102 GE for Pestivirus spp., 7,2×10 GE for Pestivirus A, 9,0×10 GE for Pestivirus B and 1.5×103 GE for Pestivirus H. PCR has high specificity and does not detect RNA of other viruses. Using the developed method, 18 samples of embryonic serum, 12 types of continuous cell culture lines, 10 series of live vaccines for immunization of cattle, 3050 samples of biomaterial from sick animals were studied. As a result of the studies, the Pestivirus H genome was detected in 7 samples of embryonic serum, 18 samples of internal organs of calves and 1 live vaccine. Pestivirus A and Pestivirus B RNA were detected in 173 and 5 samples of biomaterial from animals, 2 and 1 samples of continuous cell lines, respectively. Multiplex real-time PCR can be used for express diagnostics of cattle diseases caused by pestiviruses and control of biological products.
Freeze Drying Rabies virus
Authors: Komissarov A.V. , Generalov S.V. , Abramova E.G. , Badarin S.A. , Loginova N.M. , Bibikov D.N. , Sinitsina N.V. , Glazkova E.A. , Ginenko G.N. , Kostyleva N.I.
Published: December 2024

The parameters of freeze-drying of substances of organ-tissue and cultural origin containing a fixed rabies virus were determined. The objects of the research were the «Moscow 3253», CVS and «Saratov» rabies virus strains used in the production of commercial and experimental batches of rabies immunoglobulin from horse blood se-rum. For substances containing strains of the rabies virus «Moscow 3253», СVS and «Saratov», the freezing temperature and eutectic temperature are constant. The tested lyophilization mode made it possible to obtain samples in the form of a well-formed po-rous tablet. The infectious activity of the virus of freeze-dried strains «Moscow 3253», CVS and «Saratov» is 6,2 lg LD50/ml, 7,1 lg LD50/ml, 6,8 lg ID50/ml, respectively. Thus, the proposed freeze-drying regime is acceptable for obtaining samples of rabies virus strains used for the production of rabies immunoglobulin for the purpose of long-term storage.
Advances in biotechnology in the industrial production of immunobiological drugs
Authors: Eremets V.I. , Mishchenko A.V. , Grin S.A.
Published: December 2024

The article is devoted to a review of the literature on the formation of biotechnology as a science. The most significant, in the opinion of the authors, discoveries that have made a significant contribution to the development of biotechnological processes are presented. The achievements of biotechnology in the field of animal and human vaccine prophylaxis were noted separately. The main types of vaccines are described in brief. Examples of the creation of classic whole-virion vaccines are given (using the example of FMD vaccines). The main critical points in the technological chain (strains, cultivation, adjuvants, sorbents, inactivants, etc.) that ensure the creation of highly effective, harmless and avirulent vaccines are indicated.
Experimental evaluation of the immunotoxic effect of a new muscle relaxant
Authors: Khalikova K.F. , Yamalova G.R. , Mishina N.N. , Malanev A.V. , Aslanov R.M. , Aleev D.V.
Published: December 2024

Currently, the use of muscle relaxants is becoming important in the immobilization of animals in veterinary medicine. A new muscle relaxant with muscle relaxant properties has been synthesized by the staff of the Department of Toxicology of the Federal State Budgetary Budgetary Institution "FCTRB-VNIVI". The introduction of a new compound into veterinary practice usually occurs after a number of preclinical studies. One of the important parts of preclinical toxicological studies is the study of immunotoxicity, aimed at identifying possible negative effects of the drug on the immune system. Experiments on preclinical studies were conducted according to the meth-odological recommendations for evaluating the immunotoxic effect of drugs. Immuno-toxicity was assessed on laboratory white mice with a live weight of 20-22 g, 3 groups of animals with 10 heads each were formed. Cellular immunity was assessed using a de-layed hypersensitivity reaction with the introduction of certain classes of antigens (sheep erythrocyte). The results of the conducted studies allow us to conclude that the new syn-thesized muscle relaxant, when administered once in the range of studied doses, does not have an immunotoxic effect on the cellular link of immunity.
Quantitative analysis of veterinary medicines in animal products by immunominomicchip analysis
Authors: Denisova E.A. , Goryainova G.M. , Arsenyeva L.V.
Published: December 2024

The detection of residual amounts of medicinal substances in food products of animal origin remains an urgent issue, which requires the constant introduction and adaptation of new methods of indication. Our studies have shown the effectiveness of determining the residual amounts of medicines using immunomicrochip technology test systems.
Sağlık Sektöründe Karar Destek Araçları: İş Zekâsı, Makine Öğrenmesi, Derin Öğrenme ve Yapay Zeka Uygulamaları
Authors: Damar Muhammet
Published: December 2024

Bilgi ve iletişim teknolojileri tüm sektörleri olduğu gibi sağlık sektörünü de dönüştürmekte ve şekillendirmektedir. Bu muazzam dönüşüm içinde her geçen gün sağlık sektörü yönetim süreçlerinden günlük operasyonel süreçlerine kadar bilgi ve iletişim teknolojilerinden faydalanmakta ve karar süreçlerinde teknolojinin imkanlarından faydalanmaktadır. Çalışmamız kapsamında son yıllarda sağlık sektöründe önemi gittikçe artan iki farklı teknolojik gelişmeyi karar destek aracı olarak kapsamlı bir şekilde değerlendirmekteyiz. Yapay zeka ve iş zekası teknolojileri merkeze alınarak bu iki önemli kavramın kavramsal boyutları, sağlık sektörü için oluşturduğu değer kapsamlı bir şekilde değerlendirilmektedir. Yapay zeka içerisinde, makine öğrenmesi ve derin öğrenme gibi iki kritik kavram da değerlendirilmektedir. Makine öğrenmesi, yapay zeka, derin öğrenme ve iş zekası konuları pek çok farklı çalışmada farklı başlıklarda değerlendirmiştir. Fakat literatürde ilgili teknolojileri toplu olarak kapsamlı bir şekilde değerlendiren bir çalışmaya rastlanmamıştır. Aynı zamanda ilgili konu başlıklarının sağlık bilimleri alanında tartışıldığı bir çalışmaya da rastlanmamıştır. Çalışmamız bu boşluğu gidermeyi hedeflemektedir. Özellikle son yıllarda pek çok ülkenin yapay zeka konusunda önemli yatırımlar yaptığı günümüz koşullarında Türkiye’de bir ekonomik çıktı olarak yapay zeka uygulamaları konusunda ne tür kazanımlar elde edebileceğimizi konu kapsamında değerlendirilmektedir. Geleceğe dönük sağlık politikaları için kural koyucular ve politika yürütücüleri için çözüm önerileri ve örnek uygulama önerileri ortaya konmaktadır.
Impact of Smart Irrigation Systems on Water Resource Sustainability in India
Authors: Nureen Puteri
Published: December 2024

Purpose: The purpose of this article was to examine impact of smart irrigation systems on water resource sustainability
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: The study found that Smart irrigation systems enhance water sustainability by improving water use efficiency, reducing wastage, and supporting aquifer recharge. Technologies like soil moisture sensors, weather-based controllers, and precision irrigation reduce water consumption by up to 30% while boosting crop yields. In developed economies, adoption has led to significant groundwater conservation, while challenges like cost and accessibility hinder widespread use in developing regions. Despite these barriers, smart irrigation offers long-term benefits, including improved water availability, climate resilience, and reduced environmental stress, making it vital for sustainable water management.
Unique Contribution to Theory, Practice and Policy: Diffusion of innovations theory, socio-ecological systems framework & sustainability transitions theory may be used to anchor future studies on the impact of smart irrigation systems on water resource sustainability. Training initiatives and demonstration sites will familiarize end-users with interpreting sensor data, adjusting irrigation schedules, and maintaining equipment.  Regulatory frameworks can mandate the integration of precision irrigation technologies into new agricultural developments and reward compliance through certification schemes.
Effectiveness of Community-Based Water Conservation Programs on Groundwater Levels in Argentina
Authors: Alberto Carlos
Published: December 2024

Purpose: The purpose of this article was to examine effectiveness of community-based water conservation programs on groundwater levels in Argentina.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: Community-based water conservation programs in Argentina have shown significant effectiveness in improving groundwater levels in regions facing water scarcity. These programs, which involve local stakeholders in water management, emphasize sustainable practices such as rainwater harvesting, efficient irrigation methods, and reforestation. Studies reveal that areas adopting these initiatives have experienced a 10-15% improvement in groundwater recharge rates over five years. Key factors contributing to success include active community participation, government support, and education campaigns to promote conservation awareness.
Unique Contribution to Theory, Practice and Policy: Common-pool resource (CPR) theory, social-ecological systems (SES) framework & collective action theory may be used to anchor future studies on the effectiveness of community-based water conservation programs on groundwater levels in Argentina. Integrating indigenous knowledge systems and traditional water stewardship practices can enhance the effectiveness and cultural relevance of conservation programs. Offering financial incentives, training grants, or matching funds for community-led conservation initiatives can lower participation barriers and encourage broader engagement.
Influence of Green Roofs on Urban Heat Island Mitigation in Canada
Authors: David Benjamin
Published: December 2024

Purpose: The purpose of this article examined influence of green roofs on urban heat island mitigation
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: The study found that Green roofs significantly reduced the urban heat island (UHI) effect by lowering surface temperatures by 15–30°C and ambient air temperatures by 2–4°C through insulation, solar reflection, and evapotranspiration. Their effectiveness depends on factors like vegetation type, coverage, and local climate. Beyond cooling, green roofs provide benefits such as improved air quality, energy savings, and enhanced urban biodiversity. Large-scale adoption can make cities more sustainable and resilient to climate change.
Unique Contribution to Theory, Practice and Policy: Urban heat island (UHI) theory, ecosystem services theory & biophilia hypothesis may be used to anchor future studies on the influence of green roofs on urban heat island mitigation. Training programs for architects, engineers, and facility managers can enhance technical proficiency, ensuring that installation and upkeep practices maximize thermal performance. Policymakers can facilitate knowledge exchange through publicly accessible databases that document best practices, long-term performance outcomes, and innovative design solutions.
Effect of Eco-Tourism Initiatives on Biodiversity Conservation in Protected Areas in Japan
Authors: Humaira Alya
Published: December 2024

Purpose: The aim of the study was to investigate the effect of eco-tourism initiatives on biodiversity conservation in protected areas in Japan.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: Eco-tourism positively supports biodiversity conservation by raising awareness, generating funding, and promoting community involvement, especially in areas like Yakushima and Shiretoko. However, challenges such as over-tourism and weak enforcement can harm sensitive habitats. Effective management through zoning, visitor education, and stakeholder collaboration is key to ensuring eco-tourism’s sustainability and conservation benefits.
Unique Contribution to Theory, Practice and Policy: Stakeholder theory, common-pool resource (CPR) theory & social exchange theory (SET) may be used to anchor future studies on the effect of eco-tourism initiatives on biodiversity conservation in protected areas in Japan. Effective eco-tourism initiatives must prioritize participatory governance, ensuring that all stakeholders, particularly local communities, are actively involved in decision-making processes. Governments should strengthen legal frameworks to ensure eco-tourism operations are conducted responsibly and sustainably.
Breaking the Monoliths: Architecting the Cloud-First Approach for Low Latency Critical Applications
Authors: Ahuja Ashutosh
Published: December 2024

Purpose: This paper introduces the new framework, Phased Parallel Transition Framework (PPTF), to transform monolithic architecture into cloud-first systems. The focus will be on low-latency critical applications while trying to achieve seamless migration without many traditional limitations of different migration strategies so that operational continuity can be achieved for an organization with better scalability and performance.
Methodology: The development of PPTF involved a mixed-method research design, combining a review of existing migration strategies and architectural patterns with empirical analysis of real-world implementations. Data was collected through case studies of enterprises undergoing cloud transitions, performance benchmarks of critical applications, and expert interviews with cloud architects. Information was analyzed using comparative evaluation to identify gaps in current strategies and refine the PPTF structure. The framework was further validated through simulations of latency-critical use cases, ensuring scalability and resilience while balancing performance and cost-efficiency.
Findings: By embedding these strategies and tools within an integrated framework, the research provides recommendations for an organization pursuing a cloud-first strategy. Early assessment suggests that PPTF improves response times, reduces operational risk, and enhances resilience, particularly in applications sensitive to latency.
Unique Contribution to Theory, Practice, and Policy: This work contributes to contemporary architectural practices by introducing PPTF as a transforming approach for cloud-first modernization. To theory, it provides formalization of a structured method to the migration of monolithic systems. In practice, this enables an enterprise to modernize architectures, reduce latency, and unlock innovation opportunities. From the perspective of policy, it gives organizations a pathway to meet the demand of modern applications without breaking continuity and resilience in environments that are critical.
The Infantry Barracks from 1889 and the competition for a secondary city center at French Republic Square from 1977 - roles in the urban development of the western part of Zagreb
Authors: Ivanković Vedran
Published: December 2024

Abstract: Shortly after the Law on Military Housing came into force in 1879, the city designated locations for the construction of new barracks. The infantry barracks initially planned at the beginning of Savska Street were relocated due to plans to establish educational and cultural facilities in that area. The new location was confirmed in the Regulatory Plan of 1887 at the western edge of the Lower Town. The barracks were built in 1889 based on a design by Rupert Melkus, inspired by a project by Gruber & Völckner Office from 1881. After World War II, the barracks were abandoned. The 1865 Urban Development Program for the City of Zagreb and the 1971 General Urban Plan proposed the creation of a secondary city center on the site. In 1977 a competition was held, and the following year, most of the former barracks complex (eight out of 13 buildings) was demolished. The 1986 General Urban Plan proposed a park for the area. The park, inadequately designed and urbanistically unresolved for a central city location, still occupies the site today.

Key words: the western part of Zagreb, Infantry Barracks, Prince Rudolph Barracks, competition for the secondary city center, French Republic Square, dr. Franjo Tuđman Square
Analysis of the burned area in Grebaštica using Sentinel-2 satellite imagery and vegetation indices
Authors: Trninić Veronika , Bjelotomić Oršulić Olga , Šamanović Sanja , Markovinović Danko
Published: December 2024

Abstract: This study analyzed the area of Grebaštica, located in the Šibenik-Knin County, before and after a major fire that occurred on 13 July 2023, with the aim of calculating the extent of the burned area using Sentinel-2 satellite imagery and QGIS software. Three vegetation indices were used for the analysis: the Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and the Normalized Burn Ratio (NBR). Low values of these indices indicate significant damage to vegetation and soil. The analysis revealed that the NBR index was the most effective for detecting burned areas due to the high reflectance of vegetation in the near-infrared and shortwave infrared regions of the electromagnetic spectrum, while the NDVI index proved to be the least effective. To calculate the area affected by the fire, the delta Normalized Burn Ratio (dNBR or ΔNBR) was also computed. Using the ΔNBR index, different levels of vegetation damage and fire hazard were identified. These indices enabled clear differentiation between damaged and undamaged areas, based on the specific reflectance characteristics of materials affected by fire.

Key words: burned area, Grebaštica, vegetation indices, NBR, satellite imagery
An atypical presentation of Todd’s Paralysis
Authors: Brahim Rashad , Mack Narine , Gopaul Darren , Rampersad Jessica
Published: December 2024

Stroke mimics (SM) such as Todd’s paralysis pose a major diagnostic challenge and may be difficult to distinguish from Transient Ischemic Attacks (TIA). The aim of this case presentation was to highlight a case where the presentation made it difficult to ascertain the true cause of patients' quadriplegia.
Impact of Phenomenon-Based Learning on High School Physics Education in Shymkent, Kazakhstan
Authors: Ualikhanova Bayan , Ormanova Ganya , Berdaliyev Dauletbay , Mussakhan Nurken , Bakdaulet Anas , Güdekli Ertan
Published: December 2024

Traditional teaching methods have become obsolete in modern society, and require people with high efficiency, cooperation, and active participation. Consequently, a new approach to education should provide necessary information and abilities for further progress on a global scale. This study aims to examine the beneficial effects of using phenomenon-based learning (PhBL) as a pedagogical approach for teaching physics to high school students in Shymkent, the Republic of Kazakhstan. The research also aims to examine the influence of PhBL on students’ motivation to study physics and improve their knowledge of the subject. The fundamental approach to teaching physics was to introduce lessons through phenomena and use interdisciplinary communication as a universal approach. In addition, a survey was conducted to determine the rationale for the interaction of students with physics both in the academic environment and in practical use as well as to assess the longevity of these acquired abilities in the memory of students. The results show that the introduction of PhBL led to an enhancement in student performance, with an increase of more than 10%. This indicates the high efficiency of the proposed approach. In addition, the introduction of phenomenon-based learning contributes to an increase in retention and stable assimilation of information received over a long period. The use of PhBL to teach physics through interdisciplinary courses significantly improves students’ skills and contributes to long-term preservation of their acquired abilities.
Green manuring and fertilization on rice (Oryza sativa L.): a peruvian Amazon study
Authors: Arévalo-Aranda Yuri , Rodríguez Toribio Elmer , Rosillo Cordova Leodan , Díaz-Chuquizuta Henry , Torres Chávez Edson E. , Cruz-Luis Juancarlos , Siqueira Bahia Rita de Cássia , Pérez Wendy E.
Published: December 2024

The study was conducted in Juan Guerra district, province and region of San Martin, Peru; it assessed two treatment sets: (1) nitrogen fertilizer dose (FN75, FN100); (2) green manure Crotalaria juncea (CroJ), Canavalia ensiformis (CanE), and without green manure. It was arranged in a split-plot design with four replications. During the experiment, we observed an important fluctuation in soil parameters. Notably, there was a decrease in soil carbon and nitrogen levels, likely attributed to microorganism metabolism. On the other hand, we observed that CanE significantly reduced the diseased tillers through “White Leaf Virus” (RHBV) by 2.82% compared to the control, and significant panicle fertility was achieved by CroJ (91.88%). No significant differences were obtained in yields during this first campaign; however, the highest reported yield was 8.36 t ha-1 with the CanE - FN100 treatment. Additionally, the nutritional quality of the rice was not affected by either green manuring or the application of chemical nitrogen fertilization. These findings allow deeper studies to consider strategic alternatives to reducing dependency on inorganic fertilizers among the poorest communities.
Highlights:

A reduced incidence of White Leaf Virus (RHBV) was observed with the use of green manures.
Rice variety INIA 507 "La Conquista'' reached 8.36 t ha-1 under tropical climate conditions.
Canavalia ensiformis accompanied by nitrogen fertilization produced the highest yield.
Replacing 25% of chemical nitrogen fertilization with Canavalia or Crotalaria green manures did not significantly affect rice yield.
Replacing chemical nitrogen fertilization with green manure did not affect the nutritional quality of rice.
Incidence of Fusarium graminearum and DON in malting barley grains (Hordeum vulgare L.)
Authors: Manno Carolina , Martinez Maria Florencia , Stenglein Sebastián Alberto , Castañares Eliana
Published: December 2024

Fusarium graminearum is a fungal species affecting the quality and safety of malting barley grains, one of the most important cereals worldwide. Fungal growth and mycotoxin production vary among growing seasons and sowing locations, mainly due to weather conditions. This work aimed to assess the incidence of F. graminearum and the contamination with Deoxynivalenol (DON) in 40 barley grain samples from different Buenos Aires, Argentina localities during the 2017 and 2018 growing seasons. F. graminearum was identified in 80% of the samples. It was isolated in eight of eleven localities in the first and ten in the second growing seasons, with a similar maximum incidence (20% and 17%, respectively). On the other hand, all samples were contaminated with DON, and 75% exceeded the maximum limits established by The European Union (EC 1126/2007). The level of DON contamination was significantly higher in the second growing season, which was rainier and had a higher mean temperature (an average of 2.5 ppm in 2017 and 3.75 ppm in 2018). The results obtained in the present study show the need to establish regulations in Argentina on maximum limits of Fusarium mycotoxins in barley.
Highlights:

Barley is the main raw material in the brewing industry and is often associated with F. graminearum infection.
Fusarium graminearum was isolated from 80 % of the barley samples analyzed whereas all samples were contaminated with DON.
DON level in most of the barley samples exceded the maximun limits of 1.25 ppm established by The European Union.
The level of DON varied among growing season been higher in the rainiest growing season.
The protein content and the incidence of F. graminearum showed a low correlation (r = 0.226, p >0.05).
Morphophysiological and biochemical responses of Schedonorus arundinaceus to Zinc (II) excess: insights from biomarkers and elemental accumulation
Authors: Gonzalez Matias Alberto , Bernardo Valeria , Garita Sebastián , Cazón Josefina Plaza , Arango Cecilia , Hernández Marcelo Paulo , Ruscitti Marcela
Published: December 2024

Excessive levels of zinc have detrimental effects on plant physiology and morphology, hindering growth and development. This study aimed to elucidate the morphophysiological and biochemical mechanisms of Schedonorus arundinaceus in response to high concentrations of zinc exposure and to investigate the correlation between these parameters to identify potential stress biomarkers in this species. Plants were exposed to seven zinc concentrations (0-500-1000-1500-2000-2500-3000 μM) for 50 days. The results showed decreased dry weight, root area, photosynthetic pigments, root soluble proteins and stomatal conductance with increasing zinc concentrations. Conversely, proline, malondialdehyde and leaf-soluble protein content increased. Histological observations revealed altered stomata size and abnormalities in root tissue. Zinc accumulation exceeded phytotoxic thresholds (100-400 mg kg-1) even at lower concentrations, reaching a maximum of 3432 mg kg-1 in shoots. Visible Zn-P crystals were observed on leaf surfaces at the highest zinc treatment. These results suggest that S. arundinaceus possesses a notable capacity to bioaccumulate zinc, particularly in the roots. Furthermore, the strong correlation between proline levels and zinc biomass concentration suggests its potential use as a stress biomarker for zinc-induced stress in this species.
Highlights:

Schedonorus arundinaceus demonstrated high zinc bioaccumulation, reaching up to 3432 mg kg-1 in shoots, surpassing phytotoxic thresholds by approximately 9 times.
Exposure to high zinc concentrations led to reductions in dry weight, root area, photosynthetic pigments, stomatal conductance and roots soluble proteins content, while increasing proline, malondialdehyde (MDA) and leaves soluble protein content.
At the highest zinc concentration, visible Zn-P crystals were observed on leaf surfaces, highlighting a unique physiological response.
Histological observations revealed altered stomata size and, indicating significant morphological adaptations in response to zinc stress.
The strong correlation between proline levels and zinc bioaccumulation suggests proline as a potential biomarker for zinc-induced stress in Schedonorus arundinaceus.
Food labeling in Argentina. Decoding impacts on the Argentine Food Code
Authors: Pinto Mauricio , Buccheri Mauricio , Martín David
Published: December 2024

This work aims to analyze the characteristics of the legislative codification technique in Argentina, and whether, since the enactment of the Food Code to the present, this technique has been affected by a decoding normative evolution, considering the food labeling regime a particular study case. As a result, three lines of legislative alteration or modification distorting the mentioned technique re identified. This generates inconsistencies and ambiguities in the legislation, and consequent negative effects on the application, compliance and understanding of food regulations in the industry.
Highlights:

The Argentine Food Regime was based on the legislative technique of codification.
It can be stated that the Argentine Food Code has legislative action lines in tension with the codification legislative technique.
Since the enactment the Food Code there has been a decoding evolution, with negative effects on the application, compliance and understanding of the regulations in the food industry.
In vitro efficacy testing of citronella grass oil against Tritrichomonas foetus trophozoites
Authors: Ramirez María Rosana , Sereno Bruno Estefanía , Manuale Debora , Yori Juan Carlos , Oyhenart Jorge
Published: December 2024

Tritrichomonas foetus, a sexually transmitted parasitic protozoan, causes abortion in cattle. Nitroimidazoles, such as metronidazole, treat bovine trichomonosis, but their use is precluded. Plant extracts might have antiparasitic effects. This study aimed to assess Cymbopogon nardus oil activity against T. foetus as an alternative to metronidazole. T. foetus trophozoites were incubated in culture medium containing serial dilutions of C. nardus oil. Cytotoxicity was assessed 24 hours later. C. nardus oil killed T. foetus cells. Half maximal effective concentration (EC50) was 0.4 μg/mL. These findings suggest that C. nardus oil could be exploited for discovery and compound isolation of plant derived phytopharmaceuticals for bovine trichomoniasis and other protozoan diseases.
Highlights:

Tritrichomonas foetus causes abortion in cattle.
Effective drugs are available but treatment is precluded.
Cymbopogon nardus oil kills foetus trophozoites in a dose-dependent manner.
Plant derived material could be used for bovine trichomonosis and other protozoan diseases.
Antibacterial activity and physicochemical characterization of bioplastic films based on cassava (Manihot esculenta Crantz) starch and rosemary (Salvia rosmarinus) essential oil
Authors: Navia Porras Diana Paola , Poveda Perdomo Luis Gabriel , Cuervo Mulet Raul Alberto , Esparza Estrada Jessica , Hernández Umaña Joaquin
Published: December 2024

Bioplastics composed of renewable sources and antimicrobial components are desirable in food packaging. This study prepared bioplastic films with cassava starch and rosemary essential oil using a casting methodology. Film antibacterial activity, water vapour transmission (Wvt), mechanical resistance, and microstructure were measured after exposure to pathogenic bacteria such as Salmonella enterica, Escherichia coli, Staphylococcus aureus, and Bacillus cereus. Antibacterial activity was evidenced against the pathogens evaluated except for B. cereus. The films showed average values of Wvt 3.6988 (10-14 g/Pa s m), tensile strength 8.90 MPa, young modulus 1679.72 MPa, and elongation at break 4.33%. Film microstructure showed good adhesion to bioplastic components in the matrix. Bioplastics of cassava starch and rosemary oil constitute potential food packaging solutions mainly for fruits, egg-based products or chicken.
Highlights:

Cassava starch, glycerol, tween-80, and rosemary essential oil produced proper antimicrobial films.
Rosemary essential oil promoted antimicrobial action against coli S. entérica and S. aureus in films
The high glycerol/tween-80 increased the flexibility and water vapor transmisión.
Casting method promoted adhesion of the combined components and homogeneous film surface.
Design and Developmentof Solar (Photo-Voltaic)-Based Insecticide Sprayer
Authors: Saminu Umar  , Abdulrahim Muhammad Danjuma
Published: December 2024

Agriculture plays a vital role in global food security but faces significant challenges, particularly pest infestations that threaten crop quality and productivity. Conventional pest control methods, particularly the use of chemical pesticides, have been effective but are associated with significant environmental and health hazards. This study aims to design and develop a solar photovoltaic (PV)-based insecticide sprayer that utilizes renewable energy to improve pest management in agriculture. The system integrates solar panels, batteries, DC motors and adjustable spray nozzles, all mounted on a mobile chassis for ease of use. The research emphasizes the importance of adopting sustainable agricultural practices and highlights the potential of solar energy in reducing dependency on fossil fuels while promoting eco-friendly solutions. The findings provide insights into the viability of renewable energy technologies in enhancing pest control efficiency, supporting sustainability and addressing the energy needs of agriculture, particularly in resource-limited regions
Forest Fire Detection using Optimized Solar Powered Zigbee Wireless Sensor Networks
Authors: Srujan H R  , Srushti S M  , Sai Hitesh Gowda  , Prof. Sudhakara H M
Published: December 2024

This paper focuses on creating a comprehensive system for detecting forest fires. Forest fires are a significant and frequent type of disaster, and this specific application aims to address the limitations of MODIS and Basic Wireless Sensor Networks. To facilitate gradual development and integration as additional sensors are added alongside the temperature sensor, the system is divided into five distinct components. It introduces a new operational model for detecting forest fires and employs zero models for wireless sensor networks using ZigBee, in line with industry standards. Given the rapid spread of forest fires, the system is designed to operate in near real-time, minimizing any delay. The implementation uses three fire sensors, which trigger a water pump when fire is detected, and send the data to the base station via ZigBee. An IoT-based ZigBee Wireless Sensor Network (WSN) was developed for a smart forest fire alarm system. All output parameters are tested, and using ZigBee wireless communication technology, the system can automatically detect and respond to flames. This approach ensures that ZigBee meets the fire parameter coverage requirements while maintaining low power consumption and efficient wireless communication
Using the Anne Finch Digital Archive as a Teaching Text
Authors: Bowden Martha F.
Published: December 2024

In the course of my teaching career, I have used the Anne Finch Digital Archive in two different classes in the English major at my university: the gateway and capstone courses. In the gateway course, it functions as one of several sites in a module on the Digital Humanities, and as a required text in the capstone course. The essay investigates the Digital Archive’s strengths both as an example of a high-quality digital humanities project and as a rich site for the investigation and analysis of Finch’s poetry. Assignment guidelines for the gateway module and the reading list for the capstone courses are included, as are illustrative screen shots from the site itself.