bluuebunny/crossref_metadata_2025 huggingface dataset:
The role of healthcare practitioners in managing chronic disease: Best practices and challenges
Authors: Al-Otaibi ‏Afaf Snitan , Alsoulaimi ‏Reham Mohammad , Okal Hatem Osama , Aldawsari Abdullah Hassan Abdullah , Alqahtani ‏Mohammed Hamed , Al-Dahamashi ‏Faiz , Alanazi ‏Maryam Helal , Alruhaymi ‏Adel Abdulaziz , Iogbi ‏Asmaa Yahya , Alharbi ‏Abdulrahman Marzooq , Aldawsari ‏Abdullah Mohammed , Aldhahri ‏Mohammed Rashed , Alotaibi Adil Mubarak F , Jabal Afnan Mohammed Bin , Alruqaie Nourah Ibrahim Mohammed , Albalawi Mohammed Faraj , Alhawiti Mohammed Eid
Published: December 2024

Background: Non-communicable diseases are considered a major global public health problem and hence, are best tackled. Several chronic disease interventions require teamwork involving different practitioners in the delivery of services. Aim: The purpose of this paper is to identify the implication of interprofessional relationships in chronic illnesses and in relation to teamwork and patient centered care. Methods: A literature review on the cross-disciplinary collaborative care models, position description of the healthcare practitioners come under and the influence of teamwork in chronic disease management. Results: The studies give emphasis that partnerships enhance quality, patient satisfaction, as well as health care productivity. But, for instance, issues like lack of effective communication were noted. Conclusion:  There is indication that inter-disciplinary teamwork effort of different personnel in the management of chronic diseases result in good patient care goals hence better result.
Mujeres esclavas en la Alcaldía Mayor de Tegucigalpa, periodo 1808-1821: estudio de casos
Authors: McCarthy García Natalie Gabriela
Published: December 2024

En el presente artículo se propone como objetivo examinar el papel de las mujeres esclavas en la Alcaldía Mayor de Tegucigalpa durante el periodo 1808-1821, mediante la exposición de sus condiciones de vida previo a las Cortes de Cádiz y la identificación de las distintas formas de dominación y explotación desde una nueva perspectiva de análisis sobre la esclavitud en la provincia de Honduras. Se ha optado por emplear la microhistoria y la metodología de la interseccionalidad para el análisis e interpretación de las fuentes primarias documentales que resguardan información respecto a la última etapa de la época colonial. Los documentos con los cuales se estructura este trabajo corresponden a escrituras de compra y venta, escrituras de manumisión, peticiones de libertad, litigios, notas y reglamentos albergados en el Archivo Nacional de Honduras. Como hallazgos preliminares se visibiliza el papel de las mujeres esclavas en un ámbito urbano como el de la antigua Alcaldía Mayor de Tegucigalpa en un contexto de difusión de ideas de liberalismo e ilustración, revelando situaciones de sus vidas cotidianas comprendidas en las fuentes documentales: sus quehaceres y relaciones producidas en las esferas domésticas de sus amos, así como sus posibilidades y limitaciones en la búsqueda de la libertad.
GUÍA TÉCNICA DE PROTOCOLOS RADIOLÓGICOS PARA DETECCIÓN DE PATOLOGÍAS MAMARIAS
Authors: Pacheco-Guerrero María Gabriela , Ayala-Cerón Gerardo Alexander , Mendoza-Ríos Sara Daniela , Reyes-Paredes Teresa de los Ángeles
Published: December 2024

Dedicado a todos los estudiantes y profesionales en Radiología e Imágenes de la Universidad de El Salvador, que este documento sea de utilidad en la práctica profesional y así avanzar juntos hacia un futuro que permita la detección oportuna de patologías mamarias. La existencia de patologías mamarias, y la importancia de explorar su naturaleza, ha trascendido con el paso de los años la necesidad de la detección temprana del cáncer de mama. El diagnóstico para determinar la existencia del cáncer de mama cambió radicalmente. Estudios especializados en morfología y estructura de la mama han dado origen a la mamografía, estudio que hoy en día sigue siendo un método eficaz para la detección temprana del cáncer de mama. En el país, los hospitales que realizan estudios mamográficos han introducido nuevas tecnologías para el diagnóstico mamario, es por ello que dentro de los avances más recientes se encuentra el ingreso de la mamografía digital con la capacidad de realizar diversos procedimientos como la tomosíntesis, biopsias guiadas por mamografía, entre otros. Esta guía técnica es el resultado de la investigación de seminario de grado; trabajo enfocado en mamografía que propone   protocolos radiológicos eficaces en la detección de patologías mamarias, tomando como punto de referencia aquellos estudios y procedimientos mamográficos que se realizan actualmente en el Hospital Materno Infantil Primero de Mayo del Instituto Salvadoreño del Seguro Social. La guía técnica contiene protocolos y proyecciones, que se realizan en el área de mamografía para el diagnóstico de patologías mamarias con su respectiva crítica radiológica. Los protocolos son divididos en proyecciones de rutina y proyecciones adicionales, también, se describen los estudios y procedimientos mamográficos especializados con sus respectivas particularidades, incluyendo los tipos de biopsias y la descripción de pasos a seguir para realizar el estudio o procedimiento a partir de la participación del profesional de radiología. Así mismo se describe la terminología radiológica, ética profesional, protección radiológica y patologías más frecuentes de las glándulas mamarias, con el fin de fortalecer todos los aspectos básicos necesarios para un buen diagnóstico en el área de mamografía.
The Effects of Development Control Policy Implementation on Investor Attraction in Nairobi City County
Authors:   Zetech University, Kithu Josephine M.
Published: December 2024

This report examines the impact of development control policy implementation on investor attraction in Nairobi City County. The rapid urbanization and economic dynamism of Nairobi City County present both opportunities and challenges in attracting investment. This study aimed at assessing the impact of development control policy implementation on investor attractions in the region. As the capital of Kenya, Nairobi serves as a significant economic and cultural hub in East Africa, yet it faces competition from other emerging markets and struggles with the complexities of urban growth. The specific objectives included assessing the impact of development regulations on investment decisions, exploring the role of stakeholder engagement in shaping these policies, and analyzing how policy enforcement affects investor confidence. The methodology employed in this study is a mixed-methods approach, combining qualitative and quantitative research techniques. The findings revealed a relationship between development control policy implementation and investor attraction. Effective policy enforcement and clarity significantly enhance investor confidence, leading to increased project initiation and completion rates. Conversely, poorly defined regulations and inconsistent enforcement can deter investment, creating a perception of risk among potential investors. The study concludes that there is a positive relationship between robust development control policies and investment attraction in Nairobi City County. The study recommends the need for streamlined approval processes, enhanced communication between government and investors, and consistent policy enforcement. By prioritizing effective policy implementation, Nairobi can solidify its position as a premier investment destination in East Africa, driving sustainable economic growth while improving the quality of life for its residents.
Keywords: Development control policies, investor attraction, urbanization, policy implementation, stakeholder engagement
Guide pour les utilisateurs de la tablette et de la plateforme Formation À Distance
Authors: Ranaivosamoelina Tokiniaina , Rasolohery Hasiniavo
Published: December 2024

An output of the EdTech Hub, https://edtechhub.org/
Analisis Hubungan Nilai Noise Citra dan Computed Tomography Dose Index (CTDI) Pada Variasi Pitch Protokol CT Abdomen Rutin di RSUD Koja Jakarta Utara
Authors:   Teknik Radiodiagnostik dan Radioterapi, Politeknik Kesehatan Kementerian Kesehatan Jakarta II, Jl. Hang Jebat III blok F3 Kebayoran Baru, Jakarta Selatan, Kamila Kamila , Nurbaiti Nurbaiti , Hidayat Wahyu , Heru Nursama , Syarif Hidayat Eka Putra , Rizqi Muhammad , Ansory Khaeroel ,   Instalasi Radiologi RSUD Koja Jakarta Utara
Published: December 2024

Computed Tomography (CT) has become one of the primary diagnostic methods in modern medicine, allowing detailed and accurate visualization of the internal structures of the human body. In its use, the pitch value can affect the radiation dose received by the patient and the quality of the resulting image. This study aims to analyze the effect of pitch variations on the Computed Tomography Dose Index (CTDI) and image noise in Routine Abdominal CT to achieve the best image quality with minimal patient dose. This research method uses a quantitative design using a 32 cm diameter PMMA water phantom as a model. Eight pitch variations (0.40, 0.55, 0.60, 0.80, 0.90, 1.00, 1.35, and 1.50) were evaluated using a Siemens Somatom Perspective 128 Slice CT-Scan. Data were collected through experiments on the water phantom and analyzed using descriptive analysis, normality tests, and correlation tests. The results showed no significant relationship between CTDI values and image noise with pitch variations. Increasing the pitch value contributed to increasing CTDI but decreased image noise. These results indicate that a pitch of 0.60 has an optimal image noise value and minimal CTDI in the Routine CT Abdomen protocol at RSUD Koja, North Jakarta. This study provides a deeper understanding of the importance of selecting the correct pitch value in minimizing patient radiation dose while maintaining good image quality. The practical implication is using a pitch of 0.60 as the optimal value for the Routine CT Abdomen protocol, which can reduce the risk of excessive radiation exposure to patients.
Keywords: CT-Scan, pitch, water phantom, CT Abdomen, noise, computed tomography dose index (CTDI)
Pengembangan Metode Cepat Pengukuran 131I di Organ Tiroid Staf Kedokteran Nuklir Menggunakan Surveimeter
Authors:   Departemen Fisika, Fakultas Sains dan Analitika Data, ITS, Surabaya, Dwi P. N. Tasya , Endarko Endarko , Bunawas Bunawas ,   NuklindoLab-Koperasi JKRL, Tangerang Selatan, Banten, Massora Stepanus ,   RSUD Dr. Soetomo, Surabaya
Published: December 2024

Iodine-131 (131I) is an unsealed and volatile radioactive source that has the potential to contaminate air around the work area of nuclear medical staff. Potential contamination needs to be monitored so that the dose received by staff does not exceed the dose limit of radiation workers. This research developed a rapid method for measuring 131I in the thyroid organ of nuclear medical staff using a beta–gamma surveymeter with a Geiger Muller (GM) detector. The Ranger surveymeter was calibrated using anthropomorphic phantoms of adult male and female thyroids created with a 3D printer and injected with a standard 131I with an initial activity (A0) of 4.44 kBq. Exposure rates were measured over 5 days. The calibration factors for male and female thyroid phantoms were 15.47±0.24 μSv/h/kBq and 10.09±0.25 μSv/h/kBq, and the detection limits were 77±3 Bq and 121±21 Bq. Based on the measurement results of 5 nuclear medicine staff, information was obtained that the level of 131I contamination in the thyroid organ was between undetectable and 309 Bq. Low levels of contamination (below the detection limit) were present in measurements of radiographers, radiation protection officers (RPO), and cleaners. The contamination levels above the detection limit were present in nurse and radiopharmacist measurements, with estimated internal doses of 0.238–0.927 mSv/year. The level of contamination increased during the patient therapy day of 131I. This potential can be minimized by installing 131I air cleaners in the therapy room and hotlab.
Keywords: 131I, contamination, nuclear medicine, radiation protection, surveymeter, thyroid phantom.
Climate Change Impact on Leh, A Glacier – Reliant Town: Adapative Responses, Impacts, and Solutions
Authors:   Guest Faculty, Department of Geography & Geoinformatics, Bangalore University, Bengaluru, Kumar R Shiva , Yangchan Padma
Published: December 2024

It is an apparent and now well-documented fact that climate change and water cycles are closely interrelated. This study focuses on the effects of climate change on water supplies in the Ladakh region. Snowfall and glacial retention change in groundwater resource levels, unpredictable rainfall patterns, and coping with the resulting water scarcity are the area’s current major problems. The main sources of water are the Himalayan glaciers, streams, springs and hand pumps that draw up water from the groundwater table. Climate change and resultant temperature rise have caused rapid melt water runoff in Ladakh, while erratic rainfall & groundwater vulnerability has reduced water supply. Climate change due to the rapid urbanization and global cycles of weather is not the only problem that the locals have to deal with. The high and naturally arid climate of the area has forced residents to acclimatize and adapt to difficult weather circumstances, including frigid winters, water scarcity, soil erosion, and various other natural hazards.

Keywords: Climate change; Groundwater; Natural glacier; Artificial glacier; Solar greenhouse
Sex Composition of Population: An Analysis of NFHS – 5 data
Authors:   Associate Professor, Department of Geography, S.V. University, Tirupati, A.P­, 517502, Chenrayudu N , Chandrasekarayya T
Published: December 2024

The sex of a person is a biological character. Balanced sex composition of the Population is essential for growth of human population in any country. But, male dominance had been always recorded in India. Hence, sex ratio and sex ratios at birth trends have been worse in the past lead to a deficit of females thereby cause for many severe issues. The sex ratio in rural India has remained consistently above 900 women for every 1,000 men since 1901. But the ratio in urban areas fell from 910 women in 1901 to about 858 on average over the next nine decades. It was only in 2001 that a turnaround was seen, with the ratio returning to 901. In 2011, the ratio was at a century high of 929 women for every 1,000 men. The natural sex ratio at birth usually has higher male births. It ranges between 943 and 954. But the advantage of higher sex ratio at birth (SRB) is neutralized due to higher male infant mortality in the normal population. In recent period, the sex ratio and sex ratio at birth has been increased significantly. This paper is aimed at examining the increase in sex ratios and sex ratio at birth in India based on secondary data collected from National Family Health Survey-5 (NFHS-5 of 2019-20) and civil registration system, 2018. However, NFHS-5 reveals that these two ratios had increased in recent period results in more female than males.

Keywords: Sex ratio, Sex ratio at birth, sex selective abortion and female mortality rate, mortality, demographic characteristics
Decadal Growth of Population in Mandya District – A Geogrpahical Analysis
Authors:   Guest Faculty, Department of Studies in Geography, University of Mysore, Mysuru, 570006, Karnataka, India, Minutha V , Ramya R , Jayashree P
Published: December 2024

Population is an essentially required for economic development of the country, but it should not be optimum in relation to the availability of natural resources. Population growth varies from one region to another. The rapid growth has created many problems. Population growth is an index of its economic development, social awakening, cultural background, and historical events. In this paper an attempt has been made to analyze the growth aspects and all the components and structure of population in Mandya District. The comparisons are summarized here for two periods i.e., 2001 and 2011. The present study is based on Secondary source of Data. The Secondary data related to population are collected from Census office Bangalore, District Census handbook and other various sources of secondary data. The Base Map of study area has been Geo-referenced and digitized using GIS Software. Data is analyzed through simple quantitative techniques like percentage index method. The results show that in the two decades trend of population was gradually increasing in the district, but it varies from one taluk to another.

Keywords

Availability, Population Growth, GIS, Social awakening
Research Progress on Water-Salt Dynamics in Coastal Saline-Alkali Land
Authors: Dai Yilun
Published: December 2024

Saline-alkali land is a widely distributed soil type on the Earth's land, and its special physicochemical properties restrict plant growth and agricultural production. As the largest developing country in the world, China has extensive saline-alkali land, accounting for nearly 10% of the total global saline-alkali land area. With population growth and economic development, how to effectively utilize and improve saline-alkali land to enhance its agricultural productivity has become an important topic in current agricultural sustainable development. This paper synthesizes recent research progress on water-salt dynamics and improvement and utilization of coastal saline-alkali land, providing a systematic review of water-salt movement patterns, soil improvement technologies, crop salt tolerance mechanisms, and planting patterns. The aim is to provide a scientific basis for the rational development and utilization of coastal saline-alkali land.
Effects of Radix Achyrandii Polysaccharide on Cartilage Morphology of Knee Osteoarthritis in Obese Mice Induced by High-fat Diet
Authors: Zhang Jiaqi , Deng Yaxuan , Chen Jiangyuan , Zhai Ying , Wang Fuyan , Yuan Fahu
Published: December 2024

Objective: To study the pathological changes of articular cartilage in the process of osteoarthritis induced by high-fat diet and the mechanism of Radix achyrandii polysaccharide on osteoarthritis cartilage, and to explore the protective effect of Achyrannosus achyrannosus polysaccharide on knee osteoarthritis cartilage, so as to provide effective experimental evidence for clinical treatment of knee osteoarthritis. Methods: OA model induced by anterior cruciate ligament transection was established in obese rats induced by high-fat diet. Thirty C57BL/6 J mice were randomly divided into normal diet group (CON), high fat diet group (OA) and high fat diet plus Radix achyrandii polysaccharide (RAP). The CON group was fed with a basal diet, and the OA and RAA groups were fed with a high-fat diet. After 8 weeks of feeding, the RAP group was treated with polysaccharide (200 mg/kg·d) by gavage once a day for 4 weeks, and the blank group and the model group were given the same volume of normal saline. At the end of the experiment, the serum levels of TG, TC, HDL-C and LDL-C were detected by biochemical methods. The activity of superoxide dismutase (SOD) and the levels of malondialdehyde (MDA), tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β) were measured by ELISA. H&E staining was used to observe the pathological changes of knee cartilage. Results: Compared with the CON group, the OA group had significantly higher serum levels of TG, TC, LDL-C, MDA, TNF-α and IL-1β, and significantly lower serum HDL-C level and SOD activity. The results of histopathological examination showed that there were pathological changes of cartilage tissue damage in OA group. Compared with the model group, the related indicators of the RA group were improved to varying degrees. Conclusion: Radix achyrandii polysaccharide can protect articular cartilage by improving OA cartilage damage caused by anterior cruciate ligament transection in obese rats, regulating blood lipid related indicators, and inhibiting inflammatory response and oxidation reaction.
Overview of Microgrids and Blockchain Technology
Authors: Liu Changxuan
Published: December 2024

This paper addresses the vital role of microgrids in the efficient utilization of renewable energy within the context of the evolving energy internet and electricity market reforms. In this work, we review the fundamental concepts of microgrids, their historical progression, energy storage technologies, and advanced control and scheduling techniques. We focus on the benefits of flexible interconnection in hybrid AC/DC microgrids and propose a decentralized energy trading system utilizing blockchain technology. Our findings demonstrate that implementing blockchain not only enhances trading efficiency and reduces costs but also facilitates secure peer-to-peer transactions between consumers and producers. This innovative approach resolves prevalent issues in traditional energy trading frameworks and fosters greater market dynamics. The significance of this research lies in its potential to inform the commercialization and sustainable development of microgrids, ultimately promoting optimal allocation and utilization of energy resources. By providing actionable insights, this work contributes to advancing the field of energy management and supports the transition towards a more resilient and decentralized energy landscape.
Recent Advances on Electrolyte Additives Regulating the Electrode/electrolyte Interface to Stabilize the Zinc Anode
Authors: Zhang Wenhao , Shao Aiquan , Lv Ke , Liu Jiangyong , Miao Qinpang , Zhang Ran , Song Ming
Published: December 2024

Energy and environment are the two most serious problems in todays social development. With the depletion of fossil resources such as coal and oil and the deterioration of the environment, the development of renewable energy has become a new trend. As an emerging energy storage technology, aqueous zinc-ion batteries (AZIBs) have attracted widespread attention due to their low cost, high safety, good environmental sustainability, and high energy density. However, problems such as dendrite growth in zinc anode, electrolyte decomposition and cathode dissolution limit its commercial application. In order to overcome these challenges, the research of electrolyte additives has become a hot field. Electrolyte additives can improve the cycle stability and efficiency of aqueous zinc-ion batteries by regulating the electrode/electrolyte interface, stabilizing the zinc anode, and improving the overall performance of the battery.
Comparison and Optimization of DSRC and C-V2X Technologies: Current Status, Challenges, and Future Prospects
Authors: Chen Jiahong
Published: December 2024

DSRC (Dedicated Short-Range Communication) and C-V2X (Cellular Vehicle-to-Everything) have emerged as two key communication technologies for vehicular networks. However, both technologies face challenges in terms of communication performance and integration. This paper presents a detailed comparison and optimization study of DSRC and C-V2X, focusing on their status, technical challenges, and future development trends. The study reviews recent advancements in enhancing the throughput, communication range, and resource allocation of both technologies. Moreover, we explore the potential of AI and 5G technologies in addressing the limitations of DSRC and C-V2X, offering insights into their integration in next-generation vehicular communication systems. Finally, this paper discusses the technical challenges and possible future directions for the convergence of these two technologies, aiming to enhance vehicular network efficiency and support advanced V2X applications.
Research on Multi-process Production Decision Optimization Based on Genetic Algorithm
Authors: Hui Jiyuan , Dai Zhiyuan , Chen Jinjin
Published: December 2024

This paper studies the decision optimization problem in the multi-process production process of an enterprise in the production of best-selling electronic products. Aiming at the assembly process of two kinds of key parts, this paper uses genetic algorithm, exhaustion method and other theories and methods to optimize it with the product multi-process production process. By establishing the decision model, the problems of calculating the number of sampling inspection under the condition of nominal value, making the optimal decision in the production process of the enterprise, the global optimal detection and processing decision under the condition of multi-process production, as well as recalculating the defective rate and solving it again through sampling inspection are solved respectively. The results show that the proposed model and method can significantly reduce the production cost and increase the profits of enterprises.
Research on Gait Recognition Based on Deep Transfer Features
Authors: Yu Xuedong , Peng Linxing , Ji Yangde , Jiang Ziheng
Published: December 2024

Gait recognition is to determine the identity information of pedestrians through the difference of their walking postures, which has received more and more attention from researchers in recent years. The current existing gait recognition methods have the situation of low recognition rate and difficult to be applied on the ground. This paper proposes a gait recognition method based on DenseNet201 deep network transfer features, aiming to improve the gait recognition rate and accelerate the rapid application of gait recognition. In this paper, a human body region segmentation method is first designed to divide the arm region and leg region from the whole pedestrian gait image. Then the pre-trained deep network model DenseNet201 after parameter fine-tuning is used to extract the depth transfer features of the whole human body region, the arm region, and the leg region in the three segmented regions, and do the sum-averaging fusion process for the depth transfer features of each segmented region. Finally, a discriminant analysis classifier is used to classify and recognize the fused depth migration features. After experiments on the CASIA-B gait database collected by the Institute of Automation of the Chinese Academy of Sciences, it is proved that the division of the arm region and the leg region has obvious effect on the improvement of the gait recognition rate, and the features extracted from the pedestrian gait images by using the deep transfer network have a good characterization performance.
Attention-Refined Two-Branch Networks for Real-Time Semantic Segmentation
Authors: Xu Shize , Dong Yongsheng
Published: December 2024

In real-time demanding scenarios as autonomous driving, real-time semantic segmentation is becoming more and more crucial. BiSeNetV2 has been shown to be an effective model, but its performance in improving speed is limited, especially while maintaining high accuracy. Furthermore, feature map detail loss results from combining high-level semantic and detail information, which is especially crucial for real-time semantic segmentation tasks. In this paper, an efficient Attention Refined Two-Branch Real-Time Semantic Segmentation Network (ARTRNet) is designed to alleviate the above challenges. Specifically, the whole network adopts a two-branch structure: a spatial detail branch and a lightweight dense connectivity context refinement branch, and the lightweight dense connectivity context refinement branch is composed of a novel downsampling module (DSM) and a lightweight dense feature module, which achieves high efficiency in terms of reduced computational cost and model size. In addition, the attention vector of each feature map is computed by residual linking of the Attention Refinement Module (ARM) to highlight the features. A low-resolution context aggregation module (LRCAM) consisting of lightweight Ghost modules is also proposed to enhance the spatial information processing capability of the lightweight densely connected context refinement branch. In the final fusion stage, the Deformed Convolutional Attention Refinement Fusion Module (DCARFM) is proposed, which can enhance the feature expression of the branch and improve the final segmentation results by performing the attention refinement operation on the dual branches separately. Finally, experiments on Cityscape and CamVid datasets show that ARTRNet achieves a good balance between segmentation accuracy and inference speed. On the Cityscapes dataset, we achieved 75.7% mIoU at 132 FPS and 76.9% mIoU at 96 FPS on higher resolution images.
Research on Dye-Sensitized Solar Cells (DSSC) and Perovskite Solar Cells (PSC)
Authors: Zhang Weichen
Published: December 2024

Solar energy has turned to be an crucial part of the global move towards a sustainable power source. Two key technologies, Dye-Sensitized Solar Cells (DSSCs) and Perovskite Solar Cells (PSCs), have lately attracted much attention from scholars in this field. Introduced in the 1990s, DSSCs laid a foundation for advances in solar-cell technology while PSCs have thus advanced quickly into high-efficiency next-generation cells.This paper reviews the history of DSSCs, from Michael Grätzel's first introduction to the transition towards solid-state designs. It also discusses PSC efficiency and stability, concentrating on Henry Snaith's 2012 breakthrough with solid state PSCs. Finally, current efforts to enhance PSC stability, scalability, and future potential hybrid materials as well as tandem cell innovations are introduced.The review points out that PSCs have achieved a laboratory power conversion efficiency (PCE) of up to 34.6% for tandem cells. Material composition adjustments and encapsulation techniques have increases PSC stability, while use of hybrid materials may further required to reach peak performance.To compare DSSCs with PSCs, we find that the peroveskite materials synthesized by scientists are more efficient and have stronger light-absorptie capabilities. PSCs have faced problems with long-term stability and poisoners such like lead but also face hope for their future development in ongoing research and cooperation efforts.As the next step past DSSC research, PSCs have a bright future and vast living space in renewable energy. Research must be continued into stability and adaptability in order to ensure the successful commercialization of this technology and more wide use in sustainable energy solutions.
Research on Optimal Crop Planting Strategy Based on Linear Programming with Sample Average Approximation
Authors: Chen Shi , Peng Kengtai
Published: December 2024

Using linear programming, sample average approximation and other methods, this paper mainly focuses on the optimization of crop planting strategies in China, and conducts in-depth research to formulate the optimal planting scheme for the period from 2024 to 2030. Firstly, we preprocesses data on rural plot types and crop characteristics, and proposes the optimal crop planting scheme based on linear programming by considering crop sales, planting costs, mu yield, etc. Subsequently, this paper introduces uncertainties such as fluctuations in market demand and climate change, and constructs a dynamic planning model of planting scheme through the Sample Average Approximation (SAA) method. Finally, combined with the correlation analysis between crops, this paper proposes a comprehensive optimization model of planting scheme based on Spearman correlation, which effectively improves the overall return and ensures the robustness of the scheme.
Liberi o vincolati? Professionisti autonomi o societari?
Authors: Cesetti Giulia
Published: December 2024

In late 13th-early 14th century Rome, the three painters Pietro Cavallini, Filippo Rusuti and Jacopo Torriti worked for about fifteen baronial families, the same ones that dominated the city. By sifting through their commissions, I tried to understand whether political relationships existed between artists and patrons, whether the former were conditioned by family and baronial alignments in Rome.
The analysis of the topography of the works, both autograph and linked to the workshops of Cavallini, Rusuti and Torriti, has highlighted a peculiar modus operandi of the three masters that seems to be marked by a district subdivision of the city. A division perhaps instrumental in avoiding any kind of competition between the three workshops.
Through the examination of documentary, textual and visual sources, the social and economic background in which the Roman painters operated was analysed in an attempt to understand whether they had already come together in a widespread organisation between the 13th and 14th century, well before the Guild of 1478.
Starting with the testimonies of the two capomagister Giovanni da Capranica and Matteo Giovannetti regarding the two papal workshops, the Vatican and Avignonese, and from the analysis of two other great painting workshops, Cavallini's in S. Cecilia in Trastevere and Giotto's in Assisi, an attempt was made to finally frame the dynamics and articulation of medieval painting workshops.
ritratto di Niceforo II Foca (963-969) nella Grande Piccionaia a Çavuşin.
Authors: Abbate Giorgia
Published: December 2024

This article intends to highlight the historical significance and unique aspects of the pictorial cycle in the Great Pigeon House church at Çavuşin, Cappadocia. The church's paintings, commissioned by local leaders, celebrate the Byzantine army's victories over the Arabs and glorify Emperor Nicephorus II Phocas (963-969). Central to the decoration is a large portrait of Nicephorus and his imperial entourageplaced in the prothesis apse, aiming to sanctify the emperor and emphasize his role as God's representative on earth.
The ‘image network’ on the northeast wall features unprecedented iconography depicting the triumph of John I Tzimisce and General Melias on horseback, followed by the Forty Martyrs of Sebaste. The relocation of the Baptism scene and parallels with figures like Constantine the Great present Nicephorus as a pious general and New Constantine, reflecting the duality of his personality. Overall, the pictorial cycle stands out as a distinctive artistic creation of 10th-century Byzantine art, set in a local context of military notables who emerge as creators of a sacred space, mediating between central power and provincial reality.
Smart Grid intrusion detection system based on AI techniques
Authors:   Department of Electronics  Communications, Faculty of Engineering Egypt, Helwan University, Egypt, Mounir Mounir ,   Professor, Department of Electronics and communication Engineering, Helwan University, Egypt,   Assistant Professor, Department of Electronics and Communications Engineering, Helwan, Egypt, Sayed Samir G. , El-Dakroury Mohamed M. El
Published: December 2024

Smart grids (SGs) are integral to modern utility systems, managing power generation, energy consumption, and communication networks. However, as these systems become increasingly interconnected, they are exposed to sophisticated cyber threats that can compromise their functionality and security. To address these challenges, this paper presents an AI-driven detection framework designed to significantly enhance cybersecurity in smart grids. The proposed system combining Recurrent Neural Networks (RNNs) with Support vector classifier to improve detection accuracy, recognition capabilities, and system robustness. The methodology comprises four main stages: (1) data preprocessing to ensure high-quality input for analysis, (2) traffic detection using RNNs to capture temporal patterns, (3) classification of traffic as normal or abnormal via support vector classifier (SVC), and (4) identification of specific attack types through another SVC for refined threat categorization. This integrated approach enables real-time detection of both known and emerging threats, focusing on minimizing false positives and maximizing detection precision. The system was evaluated on three comprehensive benchmark datasets: UNSW_NB15 and BoT-IoT, achieving an average accuracy of 100%. These results underscore the superiority of this AI-based solution over traditional intrusion detection systems, providing a robust and scalable framework for securing smart grids and other critical infrastructures.
The Use of Artificial Intelligence-Enabled Systems by Modern Armed Forces and Some Related Concerns
Authors: Prezelj Iztok
Published: December 2024

Artificial intelligence (AI) is a new technology permeating several civilian and military aspects of human life. In the military and defence sectors, it is regarded as a game-changing technology that will affect the distribution of strategic power among major countries and improve efficiency at the tactical level by performing various specialised tasks. This paper tests and confirms the hypothesis that the emergence of AI introduces new possibilities to improve military and defence capabilities (benefits), alongside a broad range of concerns, challenges, and risks. This paper positions AI as a wave of revolution in military affairs, analyses a broad spectrum of potential and actual applications of AI by armed forces and defence establishments, and identifies several geopolitical and strategic concerns related to the development and use of AI systems. Based on these identified concerns, several regulatory approaches are proposed in the conclusion.
Study on the Impact of Operating Room Nursing Process Optimization on Surgical Safety
Authors: Liu Dezhen
Published: December 2024

This study aims to explore the impact of optimizing the operating room nursing process on surgical safety. In the current healthcare environment, surgical safety is a core aspect of clinical work, and optimizing nursing processes is a key factor in enhancing surgical safety. By analyzing the current situation of nursing processes in Chinas operating rooms, this study identifies certain issues and deficiencies in the existing processes. Based on optimization principles, a scientifically designed nursing process optimization plan was developed and empirically tested. The results of the study indicate that the optimized nursing process significantly improved safety indicators, nursing efficiency, and patient satisfaction. This research provides theoretical support and practical guidance for the optimization of operating room nursing processes, which has significant practical implications for enhancing surgical safety.
Advanced progress in Pharmacotherapy Research for ADHD
Authors: Jiang Peifu
Published: December 2024

Currently, the most popular method of curing ADHD is pharmacotherapy. The mechanism of ADHD is the key to decide how to cure it. The actual mechanism of ADHD has been widely discussing and hasnt reached the end. Pharmacotherapy is the therapy with the most significant efficacy in a short period of time. Moreover, its easier for the patients to access the drugs. However, there are some existing problems. There are side effects of ADHD such as poor appetite. Additionally, some of the patients may be resistant to central agonists. CBT aims to cure ADHD patients by treating their behaviors decently and is the most likely therapy that can fully cure ADHD. The problem of CBT is that it needs a systematic schedule designed by professionals and takes a lot of time. Recent researches show that BCI is an effective way to relieve the symptoms of ADHD as well as a promising future. On the contrary, BCI cost highly that the normal families can hardly afford it. Whats more, the efficacy of BCI is still investigating. This paper aims to review the mechanism of ADHD and the current therapies for curing ADHD, involving the most widely used one, pharmacotherapy, behavioral therapy (mainly discussing cognitive behavioral therapy (CBT)) as well as brain-computer interface (BCI) by analyzing their main mechanism, advantages and disadvantages towards curing ADHD.
On Generalized Ricci-Recurrent Trans-Sasakian Indefinite Finsler Manifolds
Authors: Sağlamer Ayşe Funda , Kalkan Altıntaş Aslı
Published: December 2024

In this paper generalized Ricci-recurrent trans-Sasakian indefinite Finsler manifolds are studied.These structures are established on the 〖(M^0)〗^h and 〖(M^0)〗^v vector subbundles, where M is an (2n+1) dimensional C^∞ manifold, M^0=〖(M^0)〗^h⊕ 〖(M^0)〗^v is a non-empty open submanifold of TM. F^* is the fundamental Finsler function and〖 F〗^(2n+1)=(M,M^0,F^*) is an indefinite Finsler manifold. We use the Sasaki Finsler metric
G=G^H+G^V=g_ij^(F^* ) dx^i⊗dx^j+g_ij^(F^* ) δy^i ⊗δy^i . Furthermore, we give some formulas for α-Sasakian and β-Kenmotsu Finsler manifolds with pseudo-Finsler metric. It is also provided that If ((M^0 )^h,ϕ^H,ξ^H,η^H,G^H ) and (〖(M^0 )^v,ϕ〗^V,ξ^V,η^V,G^V ) are one of the (ε)- α-Sasakian,(ε)-Sasakian, (ε)- β-Kenmotsu and (ε)-Kenmotsu manifolds, which are generalized Ricci- recurrent with cyclic Ricci tensor and non-zero A^H (ξ^H ),〖 A〗^V (ξ^V ) everywhere, then they are Einstein and Ricci symmetric manifolds, where α,β are constant functions defined on (M^0 )^h and (M^0 )^v.
Efficiency of cultivation of agricultural crops in short rotation crop rotations of the Left Bank Forest-Steppe
Authors: Tsymbal Ya. S.
Published: December 2024

Аіm.To determine the influence of the structure, recruitment and placement of field crops in short-rotation crop rotations on productivity and economic efficiency depending on predecessors and different intensification systems. Methods. Field, laboratory-field, calculation-comparative. The study was carried out in the subzone of unstable moisture of the Left Bank Forest-Steppe of Ukraine on typical low-humus chernozem of the Panfil Research Station of the NSC «IA NAAS».The technology of growing agricultural crops in the experiment is generally accepted and recommended for the research area. Chemical plant protection agents were used to grow competitive commercial products of short-rotation agricultural crops. Results. The results of research conducted in a long-term stationary field experiment, which was established in 2001, on the study of crop rotations on typical chernozems of unstable moisture in the Left Bank Forest Steppe, convincingly show that during the 2016–2020 research period, a 4-field crop rotation turned out to be the most rational in this subzone (peas – winter wheat – corn for grain – spring barley) under the organic system of intensification (by-products of the predecessor), where the conditional net profit was 14,73 thousand UAH/ha with a profitability of 142 %. Conclusions. Indicators of the economic efficiency of growing short-rotation crops with their appropriate set showed a direct dependence on fertilization systems and were at the level of: conditionally net profit – 12,11–14,73 thousand UAH/ha at the level of profitability – 83–144 %.Among the studied crops of 4-field crop rotations, growing corn for grain turned out to be the most economically profitable (16,04–21,34 thousand UAH/ha) for the highest indicator when introducing by-products of the predecessor – 21,34 thousand UAH/ha of conditional net profit and profitability level of 180 %.
Yield and quality of sunflower hybrid seeds NK Condi under different cultivation technologies
Authors: Matusevych G.D. , Kichigina O.O. , Smulska I.V. , Shatsman D.O.
Published: December 2024

To determine the influence of plant protection products and fertilizers on the yield and quality of sunflower hybrid NK Kondi seeds. Methods. The research was conducted at the SFH “Golden Ear” in the Chortkiv district of the Ternopil region. The study examined the mid-ripening sunflower hybrid NK Kondi and 3 schemes of application of plant protection products, fertilizers, and growth stimulants: 1) Verno FG (0.5 kg/ha) + Nordox 75 WG (0.3 kg/ha); 2) Verno FG (0.5 kg/ha), Mira, RK (0.75 l/ha) + Nordox 75WG (0.3 kg/ha), Mira, RK (0.75 l/ha); 3) Nordox 75WG (0.3 kg/ha) + Nordox 75WG (0.3 kg/ha). The products were applied twice, at the 4–6 leaf stage and at the bud stage. Control – standard cultivation technology, including the application of plant protection products (fungicides and insecticides) and plant growth regulator. Results. The study showed that the highest quality and yield of sunflower seeds were found in the variant with the twice application of the contact fungicide Nordox 75. The lowest yield was recorded in the control variant – 2.9 t/ha, and the highest in the variant with the application of the contact fungicide Nordox 75, with a consumption rate of 0.3 kg/ha – 3.94 t/ha. The oil content in the variants using micro-fertilizer Verno FG, contact fungicide Nordox 75, and growth stimulator Mira RK ranged from 52.0 to 53.6%, corresponding to class 1 of sunflower seed quality according to DSTU 7011:2009. It is worth noting that the twice application of the contact fungicide Nordox 75 in the 4–6 leaf and bud stages contributed to a 9% increase in oil yield compared to the control variant. The quality indicator of sunflower seeds - the acid number of the oil in all study variants varied from 4.1 to 4.8 mg KOH/g. The weight of 1000 seeds also depended on the cultivation variant. With the twice application of the contact fungicide Nordox 75, seeds with the highest weight of 1000 seeds were obtained – 71.9 g, and the control had the lowest – 66.8 g. The germination energy of the investigated sunflower seeds ranged from 94 to 96%, and similarity ranged from 95 to 97%. Conclusions. The research results justify the conclusion that high yield and quality of sunflower seeds can be achieved through intensive cultivation technologies, which include the use of chemical plant protection products, fertilizers, and plant growth stimulants. The obtained data regarding the yield level and quality indicators of sunflower hybrid NK Kondi seeds indicate the prospects of its cultivation in the Western Forest-Steppe zone of Ukraine.
Agroeconomic justification of technologies of distributed application of the herbicide corum in soybean agrocenoses
Authors: Dykun O.V. , Panasiuk M.O. , Ostapiuk B.V.
Published: December 2024

Aim. The article analyses the feasibility of using a system of distributed application of insurance herbicides in intensive soybean cultivation technologies. Methods. The aim of the research was to establish the biological and economic performance of two-time consecutive sprayings of soybean crops with reduced norms of Corum herbicide. The three-year (2018–2020) field experiments were conducted in a stationary crop rotation at the separate subdivision of the National University of Life and Environmental Sciences "Agronomic Research Station". The effectiveness of the insurance herbicide Corum (l. c., 48% bentazon + 2.24% imazamox) was studied at application rates (1.5; 2.0 and 2.5 l/ha) and two consecutive sprayings of 0.75 l/ha in tank mixtures with the surfactant Metolat (1.0 l/ha). The insurance herbicides Bazagran (a. s., 48% bentazon) and Pulsar (w. s. c., 4% imazamox) were used as reference ones at the recommended application rates of 2.5 and 1.0 l/ha, respectively. Results. The results of the research established that the herbicide Corum together with the surfactant Metolat provided effective control of the dominant segetal vegetation in soybean crops at all rates and methods of application with a biological efficiency of more than 85%, which is by 5–10% higher than the indexes of reference insurance herbicides. A two-time sequential spraying with the herbicide at a rate of 0.75 l/ha was the most effective, which ensured almost complete elimination of dicotyledonous juveniles and 75–92% of cereal annuals, which is equal to the effectiveness of the maximum single rate (2.5 l/ha). The high biological efficiency of Corum herbicide in tank mixtures with surfactant Metolat with two consecutive applications provided the largest increase in the marketable crop of soybeans — 1.46 t/ha or 77% compared to the level of an untreated control in the absence of quantitative changes in the protein and oil content in seeds. Conclusions. A significant increase in crop and low additional investment in the system ensured obtaining a maximum net profit per 1 ha (UAH 12155). At the same time, the profitability of growing the crop reached 49.0% with a six-fold return on the funds invested in the technology. Given the combination of household, economic and environmental factors of the innovative system of distributed application of the herbicide Corum, it is advisable to introduce it into production.