bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Application of Multi-modal Large Model in Robot Control
Authors: Su Xiran
Published: May 2024

This study discusses the application of multi-modal large model in robot control. With the rapid development of AI and robotics, multi-modal large-scale model, as a large-scale deep learning model integrating multiple sensing modes, provides new ideas and methods for intelligent control of robots in complex environments. Firstly, this paper introduces the basic principle and technical characteristics of multi-modal large-scale model, including its structure, training methods and application scenarios. Then, aiming at the specific application scenarios in smart home environment, this paper designs a series of experiments to evaluate the performance of multi-modal large model in path planning, task effect and generalization ability. The experimental results show that the multi-modal large model can achieve more accurate and efficient path planning and task execution in smart home environment, and has strong generalization ability, which can adapt to the needs of different environments and tasks. Finally, this paper summarizes and looks forward to the application of multi-modal large model in robot control, and points out its important significance and potential application prospect in the development of intelligent robot technology.
Using Artificial Intelligence to Refine the Implementation Trajectory of Digital Image Processing Technology
Authors: Li Chen , Huang Zengyi
Published: May 2024

Artificial intelligence introduces a fresh research perspective to digital image processing. However, its integration into the curriculum of colleges and universities for teaching digital image processing remains scarce. This lack of incorporation results in outdated course content, reliance on singular teaching methods, and simplistic course experiments, consequently impeding effective teaching and hindering the development of well-rounded and innovative individuals. Digital image processing technology expands the horizons of communication engineering, facilitating more convenient modes of communication for people. For instance, video calls and photo transmissions diversify everyday communication methods, transcending the constraints of time and space by enabling online meetings and fostering enhanced communication possibilities. Despite these advancements, numerous challenges and methodologies merit thorough exploration. Therefore, this paper aims to comprehensively grasp both traditional and deep learning approaches to digital image processing, enhancing practical project proficiency and fostering scientific research exploration capabilities, thus serving as a valuable reference for similar research endeavors.
Correlation Study between Body Mass Index and Serum Uric Acid Level in Patients with ST-segment Elevation Myocardial Infarction
Authors: He Yinyan , Qin Weiwei , Yang Ruiting , Shang Xianjing , Yang Ruihong , Xu Yufei
Published: May 2024

Background Although significant progress has been made in the treatment of acute ST-segment elevation myocardial infarction, acute myocardial infarction remains a common cause of heart failure, and the correlation between body mass index and serum uric acid levels in patients with acute ST-segment elevation myocardial infarction is unclear. Objective To analyze the relationship between body mass index and serum uric acid levels in hospitalized patients with acute ST-segment elevation myocardial infarction and to preliminarily investigate whether body mass index is independently associated with serum uric acid levels in patients with myocardial infarction. Methods This was a retrospective study. Patients with acute ST-segment elevation myocardial infarction hospitalized in the Department of Cardiology from January 2022 to December 2022 were selected. General information gender, age, height, weight, blood pressure, body mass index, history and related metabolic indexes were collected and recorded, and Spearman correlation analysis was used to analyze the correlation between body mass index and serum uric acid, and to analyze the independent risk factors of patients with acute ST-segment elevation myocardial infarction according to linear regression. Results A total of 875 patients with acute ST-segment elevation myocardial infarction were collected in this study, with a mean age of (62.22±12.06) years, of which 73.6% were men and 26.4% were women. The mean body mass index was (25.00±3.93) kg/m2 and the mean serum uric acid was (297.72±95.37) μmol/l. Spearman's correlation analysis showed a negative correlation between age, left ventricular ejection fraction, and serum uric acid, and a significant positive correlation between cardiac function, triglycerides, body mass index, and serum uric acid in patients with acute ST-segment elevation myocardial infarction. significant positive correlation. Linear regression models showed that gender, hypertension, cardiac function, triglycerides, left ventricular ejection fraction and body mass index were independent risk factors for serum uric acid in patients with acute ST-segment elevation myocardial infarction. Conclusion Body mass index is associated with the development and progression of hyperuricemia in patients with acute ST-segment elevation myocardial infarction, and the higher the body mass index, the higher the serum uric acid level in patients with acute ST-segment elevation myocardial infarction. Clinical weight management is needed for patients with acute ST-segment elevation myocardial infarction, and patients with acute ST-segment elevation myocardial infarction who have a normal body mass index are encouraged to maintain their current weight.
Analysis of Dispersibility and Mechanical Properties of Lignin Modified Dispersive Soil
Authors: Yu Zhongyu , Xu Xin , Liu Hao , Wu Zeju
Published: May 2024

Dispersive soil is a kind of special soil with water sensitivity, which is easy to produce ravages such as gully and piping when encountering water in engineering. In order to improve the poor engineering properties of dispersive soil, a kind of lignin was selected to improve the dispersibility and mechanical properties of dispersive soil in western Jilin Province. Pinhole test, fragment test, unconfined compressive strength test and resistivity test were carried out on the improved soil samples with different lignin content. The results showed that lignin could significantly reduce the dispersibility of dispersive soil. With the increasing of curing time, the unconfined compressive strength of the improved soil samples increased gradually. With the increase of lignin content, the unconfined compressive strength of the improved soil first increased and then decreased, and the peak strength appeared when the lignin content was 3%. In the resistivity test, the resistivity of the improved soil decreased gradually with the increase of lignin content. Through microscopic analysis of lignin improved soil samples, it can be concluded that lignin fibers play a stereograin-like bridging role in soil, which promotes the formation of larger aggregates, weakens the dispersion of single soil particles, and thus reduces the dispersion of soil mass and improves the strength of soil mass. This study can provide a basis for the improvement of dispersive soil in seasonal freezing area and has practical engineering significance.
Improved Multi-attention Neural Networks for Image Emotion Regression and the Initial Introduction of CAPS
Authors: Wang Rending , Ma Dongmei
Published: May 2024

Image sentiment analysis is a large class of tasks for classifying or regressing images containing emotional stimuli, and it is believed in psychological research that different groups produce different emotions for the same stimuli. In order to study the influence of cultural background on image sentiment analysis, it is necessary to introduce a dataset of image sentiment stimuli that can represent cultural groups. In this paper, we introduce the Chinese Affective Picture System (CAPS), which represents Chinese culture, and revise and test this dataset. The PDANet model has the best performance among the current image sentiment regression models, but due to the difficulty of extracting cross-channel information from the attention module it uses, image long-distance information correlation and other shortcomings, this paper proposes an image emotion regression multiple attention networks, introduces the SimAM attention mechanism, and improves the loss function to make it more consistent with the psychological theory, and proposes a 10-fold cross-validation for CAPS. The network achieves MSE=0.0188, R2=0.359 on IAPS, and MSE=0.0169, R2=0.463 on NAPS, which is better than PDANet; the best training result of CAPS is MSE=0.0083, R2=0.625, and the paired-sample t-test of the results shows that all the three dimensions are significantly positively correlated, with correlation coefficients r=0.942, 0.895 and 0.943, respectively, showing good internal consistency and excellent application prospect of CAPS.
Research on Development of Generative Artificial Intelligence
Authors: Wang Junliang
Published: May 2024

Machine Learning, as one of the key technologies in the field of artificial intelligence, has made significant advancements in recent years. This study provides a relatively systematic introduction to machine learning. Firstly, it gives an overview of the historical development of machine learning, and then focuses on the analysis of classical algorithms in machine learning. Subsequently, it elucidates the latest research advancements in machine learning, aiming to comprehensively explore the applications of machine learning in various domains and discuss potential future directions.
The Development of the Integrated Media Teaching Materials of Linux Network Operating System with "Paper-based Teaching Materials + Electronic Loose-leaf Pages"
Authors: Liu Yingfang , Dai Wanchang , Wang Yuli
Published: May 2024

This paper focuses on the development of the integrated media teaching materials for the Linux network operating system that combines "paper-based teaching materials + electronic loose-leaf pages". It thoroughly analyzes the characteristics and advantages of this teaching material model, elaborating on its application and impact in the teaching process. Additionally, it delves into the challenges encountered during the development and presents corresponding solutions. By conducting this research, we aim to provide valuable references for enhancing the quality and effectiveness of teaching materials, and to facilitate better teaching and learning outcomes in the field of Linux network operating systems, ultimately contributing to the improvement of the overall teaching quality and learning efficiency.
Thermographic analysis of physiological conditions and after exercise in classic equestrian horses
Authors: Costa Guilherme Gonçalves , Passini Roberta
Published: May 2024

Few studies have associated horse skin temperature with the thermal environment, physiology and exercise. This study aimed to use infrared thermography to analyze thermoregulation in horses during training and the efficiency of bathing time in restoring normal physiological conditions. A completely randomized design was used, with 2 treatments and 6 replications. The treatments were different bathing times, after exercise: BE – Before exercise (Control – resting animal); T2 – 2-minute shower, after exercise; T5 – 5-minute shower, after exercise. Six Brazilian Sport (BH) and six Thoroughbred (TB) horses were studied, with average age and weight of 8.5 years and 415 kg respectively, ridden over a classic showjumping course for 50 minutes. The variables were collected from 13h00 to 15h00 over 3 nonconsecutive days, before jump training, prior to bathing (post-training) and after bathing. The environmental variables (wet bulb temperature, black globe temperature, relative air humidity and dry bulb temperature) were determined in the external (track) and internal (bathroom) environments. Thermal comfort indexes were calculated: Temperature and Humidity Index (THI), Black Globe Temperature and Humidity Index (BGHI). Were collected the rectal temperature, respiratory rate and body surface temperature. A significant effect was observed for the rectal temperature, respiratory rate and surface temperature (P<0.05) between the pre- and post-training and before and after bathing. Training for around 50 minutes increased respiratory rate as well as rectal and skin temperatures. Bathing times of 2 or 5 minutes promote equivalent reductions in the animals' respiratory rate and skin temperatures, reaching values below those observed before training. The rectal temperature of the animals remained high even after bathing, indicating delayed recovery in relation to the other variables.
Peranan Mahasiswa PkM UHN Medan dalam Menciptakan Desa Bersih dan Masyarakat Cerdas di Desa Banjaran Raya Kabupaten Langkat
Authors: Manullang Dapot Tua , Situmorang Yuli Fransiska , Rajagukguk Fratiwi Juita , Sitohang Septiyana Hotmoia Br. , Siringoringo Widi L.
Published: May 2024

This article aims to find out the role of pkm uhn medan students in creating clean villages and smart communities in Banjaran Raya village, Langkat Regency. The type of approach used is qualitative through descriptive methods. This method is used to directly describe the factual conditions that occur in the field. Data collection is done through observation, interviews, and documentation. Data analysis is carried out qualitatively through data reduction, data presentation, and conclusions. The results of data analysis show that maintaining environmental cleanliness can be applied by the community. This can be proven from the community's activeness in carrying out mutual assistance to maintain the cleanliness of the village environment
Identification of Optimum Retrofitting Approach for Strengthening RC Beams using CFRP Sheets
Authors: Gandla Nanabala Sreekanth , S Balamurugan
Published: May 2024

Recently the formation of disasters like earthquakes, Tsunami, etc., are quite common in all parts of the world. Due to the disasters the existence of loss to property as well as human life is quite common and more to avoid/decrease the damage due to disasters, strengthening a structure is one parameter. Retrofitting is the use of revolutionary technology to reinforce the structural elements to resist the upcoming damage due to disaster. In this paper carbon fiber reinforced polymer strengthening is considered for retrofitting technique. Carbon fiber reinforced polymer sheets of 50 mm width are used and wrapped on the beams with four different orientations like 00, 450, 600 and 900. Experimentally ten beams are casted in which two beams are marked as control beams and in remaining eight beam, every two beams are used for each orientation. The beams are subjected to four-point loading, and the greatest deflections and cracks at the beam center are recorded. The beams are tested for flexural loading and studied different parameters like maximum deflection, maximum load, Initial crack load etc are compared. With an emphasis on RC beams specifically, the goal of this work is to close the current research gap by examining the behavior of fiber reinforced polymer orientation in concrete elements. A beam covered with 50 mm strips at a 45-degree angle produced better results than the remaining beams.
Sự hài lòng của khách hàng đối với chất lượng dịch vụ của chuỗi cửa hàng tiện lợi tại Thành phố Hồ Chí Minh
Authors: Dương Thị Hồng Nhung , Phạm Hùng Cường , Đặng Kiên Bình
Published: May 2024

Bài viết nhằm tìm hiểu các nhân tố ảnh hưởng đến Sự hài lòng của khách hàng đối với chất lượng dịch vụ của chuỗi cửa hàng tiện lợi tại Thành phố Hồ Chí Minh. Thông qua khảo sát thực tế trên google form với 235 khách hàng đã thử mua sắm hoặc sử dụng dịch vụ của chuỗi cửa hàng tiện lợi tại Thành phố Hồ Chí Minh trong thời gian tháng 10 năm 2023, bài viết đánh giá các yếu tố ảnh hưởng đến sự hài lòng của khách hàng đối với chất lượng dịch vụ của chuỗi cửa hàng tiện lợi. Kết quả nghiên cứu cho thấy có 7 yếu tố ảnh hưởng đến sự hài lòng của khách hàng, trong đó: (1) Giá cả có mức ảnh hưởng cao nhất. Các yếu tố khác ảnh hưởng theo thứ tự giảm dần là: (2) Phân phối, (3) Dịch vụ, (4) Cơ sở vật chất, (5) Hàng hóa, (6) Trưng bày và (7) Nhân viên có ít ảnh hưởng nhất. Căn cứ vào kết quả nghiên cứu, bài viết đã đề xuất một số kiến nghị giúp nâng cao sự hài lòng của khách hàng đối với chất lượng dịch vụ của chuỗi cửa hàng tiện lợi tại Thành phố Hồ Chí Minh.
Phân tích ảnh hưởng của trải nghiệm dịch vụ xe đạp công cộng lên thái độ, truyền miệng điện tử và dự định tiếp tục sử dụng: nghiên cứu tại thành phố Đà Nẵng
Authors: Trần Xuân Quỳnh , Vương Ngọc Duy
Published: May 2024

Trong thời đại hiện nay việc sử dụng xe đạp công cộng đã trở thành một lựa chọn phổ biến và được khuyến khích ở nhiều thành phố trên thế giới, đặc biệt là các thành phố du lịch như Đà Nẵng. Mục đích của nghiên cứu là nhận diện và phân tích ảnh hưởng của các nhân tố chính của trải nghiệm dịch vụ xe đạp công cộng lên thái độ, truyền miệng điện tử và dự định tiếp tục sử dụng. Dữ liệu nghiên cứu được thu thập từ 301 cá nhân đã và đang sử dụng xe đạp công cộng tại Đà Nẵng trong thời gian gần đây. Đối tượng hướng đến là du khách và người dân địa phương. Kết quả nghiên cứu xác định chi phí dịch vụ, chất lượng dịch vụ, chất lượng app và khả năng tiếp cận là những nhân tố chính của trải nghiệm dịch vụ xe đạp công cộng và có ảnh hưởng tích cực lên thái độ dịch vụ. Nghiên cứu cũng xác nhận mối quan hệ giữa thái độ dịch vụ, truyền miệng điện tử và dự định tiếp tục sử dụng dịch vụ.
A Comprehensive Study for Malware Detection through Machine Learning in Executable Files
Authors: Ahmad Zohaib
Published: May 2024

Two methods are frequently used to analyze malware and start specimens: static analysis and dynamic analysis. Following analysis, distinct characteristics are retrieved to distinguish malware from benign samples. The detection capacity of malware is contingent upon the effectiveness with which discriminative malware characteristics are retrieved through analysis methods. While conventional approaches and techniques were used inadvertently, machine learning algorithms are now utilized to classify malware, which can deal with the complexity and velocity of malware creation. However, even though a few research papers have been published, recent classifications of signature, behavioral and hybrid machine learning is not introduced well. Based on this demand, we provide a comprehensive analysis of malware detection using machine learning, as well as address the different difficulties associated with building the malware classifier. Finally, future work is addressed to build an effective malware detection system by addressing different malware detection problems.
BİR KIYMETLİ EVRAK TÜRÜ OLARAK SUKUKUN SÜRDÜRÜLEBİLİR HEDEFLER İÇİN KULLANILMASI: YEŞİL SUKUK ÜZERİNE BİR ANALİZ
Authors: Karatepe Kaya Meltem
Published: May 2024

Son yıllarda sürdürülebilir bir dünya hedefinin önem kazanmasıyla birlikte bankacılıkta da bu hedefe uygun yatırım araçları ortaya çıkmıştır. Yeşil sukuk bankacılık alanında ortaya çıkan ve yeşil projelere katkı sağlamayı amaçlayan önemli faizsiz yatırım araçlarından biridir. 2017 yılında Malezya merkezli bir yenilenebilir enerji şirketi olan Tadau Energy’nin dünyanın ilk yeşil sukukunu ihraç etmesiyle birlikte faizsiz bir yatırım aracı olan yeşil sukuk piyasalarda yerini almıştır. Bu makalede, yeşil sukuk gibi faizsiz finansal araçların ülkelerin sürdürülebilirlik hedeflerine ulaşmasında nasıl bir rol oynadığı ve bu çabaları nasıl desteklediği incelenmektedir. Makalede öncelikle sukukun Türk kıymetli evrak hukukundaki ve bankacılıktaki yeri incelenmektedir. Devamında yeşil sukuka ilişkin detaylı bilgi verilerek yeşil projelere yatırım yapmak için tercih edilen yeşil sukukun çevre dostu projelerin finansmanında nasıl kullanılabileceği ve sürdürülebilirlik ilkesiyle uyumlu olarak nasıl faaliyet gösterebileceği değerlendirilmektedir. Bu kapsamda yeşil sukuk ihracına ilişkin karşılaşılan zorluklar da çalışmada ele alınmaktadır. Son olarak, yeşil sukukun ülkemiz ve dünya piyasaları için önemi ve potansiyeli üzerinde durulmakta ve sürdürülebilir yatırımlara olan ilginin artmasıyla birlikte yapılan analizlerin literatüre katkı sağlaması amaçlanmaktadır.
Política nacional de atenção integral a saúde da mulher: revisão de literatura
Authors: Silva Luciano Cicero da , Eduardo António Pascoal , Nogueira Gracielle Conseição , Melo Juciane Lima do Nascimento , Pontes Maria Terezinha Gomes , Palmeira Sebastiana Pessoa , Machado Sérgio Raimundo Ernesto , Silva Sônia Maria Alves da
Published: May 2024

Este artigo analisa os desafios enfrentados na implementação da política de saúde da mulher, comparando-a com o Plano Nacional de Políticas para as Mulheres (PNPM). O objetivo é investigar a eficácia do PNPM e identificar possíveis lacunas na aplicação da política de saúde da mulher. Foi realizada uma revisão da literatura para contextualizar os desafios da política de saúde da mulher e analisar o PNPM. Além disso, foram comparados os princípios, objetivos, metas e linhas de ação de ambas as políticas. Os resultados indicam que, embora o PNPM represente um avanço na promoção da igualdade de gênero, sua eficácia é limitada devido a desafios como falta de recursos, resistência institucional e falta de participação das mulheres nas decisões políticas. A política de saúde da mulher também enfrenta dificuldades semelhantes, incluindo acesso limitado aos serviços de saúde e falta de investimentos adequados. Conclui-se que tanto o PNPM quanto a política de saúde da mulher enfrentam desafios significativos na sua implementação, destacando a necessidade de medidas adicionais para promover a igualdade de gênero e garantir o acesso universal aos serviços de saúde.
CARACTERIZAÇÃO DA FERRAMENTA DA QUALIDADE PDCA: UMA PESQUISA BIBLIOGRÁFICA
Authors: Costa Tiago Rodrigues da , Costa Taís Rodrigues da
Published: May 2024

Atualmente, a qualidade é um objetivo buscado pela grande maioria das empresas. É necessário não somente proporcionar produtos e serviços que estejam em conformidade com os órgãos reguladores, mas que atendam às necessidades dos clientes. Para garantir o alcance da qualidade, a organização precisa ter seus processos otimizados, de forma que o alcance da qualidade seja rentável para os objetivos da empresa. Para garantir uma boa gestão dos processos, as corporações buscam melhorar e aprimorar atividades e procedimentos continuamente. A Gestão da Qualidade possui conhecimentos e metodologias que podem auxiliar na busca pela melhoria dos processos. Uma metodologia bastante difundida e aplicada globalmente é o Kaizen, também conhecida como Melhoria Contínua. Na aplicação desta metodologia, pode-se utilizar também outras metodologias e também as ferramentas da qualidade. Dentre as ferramentas da qualidade, uma muito utilizada é o ciclo PDCA. O ciclo PDCA é uma ferramenta muito versátil, pois possibilita o alcance da melhoria de processos e solução de problemas. Este trabalho trata-se de uma pesquisa bibliográfica, cujo objetivo foi descrever o ciclo PDCA e verificar sua aplicabilidade na Gestão da Qualidade para a promoção da Melhoria Contínua.
O USO DE INTELIGÊNCIA ARTIFICIAL NO CONTEXTO EMPRESARIAL: UM ESTUDO SOBRE A IA NAS PRÁTICAS DE RH E DE DESENVOLVIMENTO HUMANO
Authors: Pinheiro Weider Silva
Published: May 2024

O avanço tecnológico, principalmente quando se trata das inteligências artificiais, sempre trazem discussão acerca do lugar que vão ocupar na sociedade e da potencialidade de se substituir o trabalho humano. A questão central, ao menos até o ponto atual em que a tecnologia se encontra, as inteligências artificiais não foram capazes de substituir o ser humano de forma efetiva em nenhuma área, porém se tornam ferramentas úteis, sobretudo em atividades profissional. Ao analisar a possibilidade de uso de inteligência artificial que no contexto empresarial, explorando potencialidades como uma ferramenta que possa agilizar, complementar ou mesmo transformar o trabalho, assim como analisar possíveis riscos desse uso no setor de administração de pessoas, através de pesquisa exploratória com enfoque qualitativo, descobriu-se que a IA pode agilizar atividades de controle das rotinas de pessoal, tornando-as mais eficientes e eficazes. Porém, ao trazer ferramentas como essa para atividades como de recrutamento e seleção, desenvolvimento de pessoal e tomada de decisão sobre pessoas, o abandono do aspecto humano pode incorrer em reprodução de vieses e preconceitos, em desumanização e desvalorização das pessoas, ou mesmo na falta de transparência e erros possíveis em decisões tomadas a partir de orientações dadas por uma inteligência artificial. Apesar disso, o uso da IA é possível, desde que os profissionais de RH sejam capacitados, incentivados e que lhes sejam proporcionados ambientes que valorizem a inovação, sem que se perca o aspecto humano nas relações, o que é imprescindível em um setor que lida com pessoas.
PENERAPAN APLIKASI E-LERNING MAPEL MATEMATIKA UNTUK KELAS I SD NEGERI SIDOREJO 01 DENGAN METODE MDLC
Authors: Setiadi Teguh , Setiawan Alif
Published: May 2024

Conventional (traditional) learning tends to transfer the knowledge they have to students and students receive it passively and uncritically. This situation makes students use mathematical formulas without understanding where and how these formulas are formed. Students are often positioned as people who "don't know anything" who just wait for what the teacher gives. This causes students to become passive and less motivated in participating in learning. Motivation is one of the factors that influence the learning process and outcomes, one of which is at SD Negeri Sidorejo 01, Gringsing District, in the learning process there are still many obstacles, especially for class I. In the teaching and learning process the teacher always provides input that can provide motivation to students to function as a motivator. , director and driver of behavior. The reality that occurs is that students only learn by applying a system of sitting, being quiet, listening and taking notes. One strategy to increase students' learning motivation in learning mathematics is the application of learning media in the form of e-learning applications. Considering that young children are more interested in e-learning applications than just being given material and practice questions to note down. In this regard, by implementing the Demonstration Method, learning media as a medium for learning Mathematics will more easily attract children's attention to learning, as well as make it easier for teachers to teach because the appearance of the media with animations is made simpler and more attractive.
The impact of the Ontario quality-based procedures funding model on radical prostatectomy outcomes
Authors: Motamedi Nickan , McClure Andrew , Power Nicholas , Pautler Stephen , Gien Lilian , Welk Blayne , McGee Jacob
Published: May 2024

Introduction: In 2015, radical prostatectomy (RP) in Ontario transitioned to the quality-based procedures (QBP) funding model, which assigns disbursement from surgical quality indicator (QI) outcome performance. The objective of this study was to assess the QBP QI outcomes before and after implementation of the QBP funding model for RP, and to determine whether changes seen were attributable to the QBP model.
Methods: We conducted a population-based, retrospective cohort study including all men who underwent RP for prostate cancer in Ontario from 2010–2019. We used administrative data from Ontario’s health databases to gather surgical and QI outcome data. Our primary outcomes were the five measurable QBP QIs outlined by the province. We performed a pre- and post-intervention comparison, in addition to an interrupted-time series (ITS) analysis.
Results: Two of the five QIs improved after implementation of the QBP model (complication rate: 11.89% vs. 9.96%, p<0.001; proportion meeting length of stay target: 78.11% vs. 86.84%, p<0.001). ITS analysis revealed that there was no difference in trend in either outcome between pre- and post-implementation periods (p=0.913 and p=0.249, respectively). Two QIs were worse in the post-implementation period (unplanned visit rate: 23.45% vs. 25%, p=0.015; proportion meeting Wait 2 target: 94.39% vs. 92.88%, p<0.001). ITS revealed a significant trend changes post-implementation (p=0.260 and p=0.272, respectively). There was no difference in reoperation rate (2.84% vs. 2.45%, p=0.107).
Conclusions: The QBP model for RP corresponds with mixed QI changes, but further analysis suggests that these changes were pre-existing trends and not attributable to the model.
Could trainees’ finger placement at the surgeon’s console have any effect on the overall outcomes of robotic surgery specifically in radical prostatectomy?
Authors: Connelly Zachary M. , Moss Matthew , Paneque Tomas , McFerrin Coleman , Morgan Kevin , Ahmed Mohamed , Khater Nazih
Published: May 2024

Introduction: Robotic surgery for localized prostate cancer offers a greater range of motion attributed to the EndoWrist instruments. Postoperative outcomes are linked to the quality of vesico-urethral anastomosis. Trainees frequently complain of suturing difficulty in a back-handed fashion. We aimed to analyze wrist motion using the DaVinci simulator. We hypothesized that using the thumb and index finger would allow superior surgical proficiency when compared to the middle finger.
Methods: After institutional review board approval, we recruited 42 medical students in one academic medical center. Students were randomly assigned to start with their thumb and index finger (1&2) or thumb and middle finger (1&3). Three standardized modules were used with nine metrics calculated, including: score, total time, economy of motion, efficiency score, collisions, inaccurate puncture, wound approximation, out of view, and penalty subtotal. Statistical analysis of the metrics was calculated using SPSS.
Results: Three metrics were found to have differences between the finger placement of 1&3 compared to 1&2. The number of collisions, wound approximation, and penalty score where 1&3 were used had a lower score in each. The number of collisions was 5.7 less in the 1&3 finger placement (p=0.046). This metric was found to have statistically significant differences between finger placement where 1&3 had a lower score compared to 1&2. The wound approximation score was 0.2 points lower when using the 1&3 placement (p=0.075). Lastly, the penalty assigned was 6.5 points lower when using 1&3 (p=0.069).
Conclusions: Although finger placement did not affect the overall score of the completed simulation, instrument collisions and unnecessary wound complications may lead to adverse outcomes when using 1&2 despite offering a wider range of motion. This may be due to decreased comfort in hand position. Trainees may be able to improve the effectiveness of their vesico-urethral anastomosis during robotic-assisted radical prostatectomy.
Програмний підхід в реформуванні сфери охорони здоров’я: практика України
Authors: Горбань Д. А.
Published: May 2024

У статті зосереджена увага на розкритті змісту основних програм, реалізованих внаслідок реформування сфери охорони здоров’я. У роботі запропоновано систематизацію основних результатів впроваджених програм та узагальнені причинно-наслідкові зв’язки при їх появи в ході формування охорони здоров’я в Україні, від початку незалежності до сучасного періоду. Висвітлені ключові аспекти таких головних програм як «Доступні ліки», «Гроші ходять за пацієнтом», «Електронне здоров’я». Акцентовано, що кожна з проаналізованих програм містить в своїх результатах ознаки системної трансформації сфери охорони здоров’я, які вплинули на загальний перебіг та результати реформування в цілому. Узагальнені основні здобутки виділених програм для реформування охорони здоров’я та суспільства в цілому. У статті проаналізовано особливості кожної програми, їхні впливи на зміни в сфері охорони здоров’я в Україні. Визначено, що головними перевагами реалізації програми «Доступні ліки» є забезпечення безкоштовних або зі значною знижкою лікарських засобів для покращення доступу до лікування хронічних та поширених захворювань серед населення України. Переваги програми «Гроші ходять за пацієнтом» полягають у змозі вільного вибору лікарів та медичних закладів, що посприяло більшому задоволенню потреб пацієнтів, підвищенню конкуренції серед медичних закладів, стимулюванню їх до покращення якості послуг та обслуговування, зменшенню випадків нераціонального використання обмежених бюджетних ресурсів. Основні позитивні зміни для охорони здоров’я внаслідок реалізації програми «Електронне здоров’я» пов’язані зі створенням єдиної національної цифрової системи, що включає всі аспекти медичного обслуговування через цифровізацію процесів та інформації, спрямована на покращення обміну медичною інформацією між медичними закладами та полегшення доступу громадян до медичних послуг. Узагальнюючи основні переваги та позитивні зміни від запровадження у практику програмного підходу та реалізації основних програм удосконалення охорони здоров’я, визначені ризикові аспекти кожної з таких програм. На основі виділених проблемних аспектів та ризиків реалізації програм у роботі обґрунтовано низку пропозицій для унеможливлення негативних наслідків зриву запровадження програмного підходу в сфері охорони здоров’я. Висновки статті сприятимуть подальшому розвитку стратегій та політик у галузі охорони здоров’я в Україні та інших країнах, які стикаються з подібними викликами у сфері охорони здоров’я.
Ретроспектива трансформації моделі охорони здоров’я в Україні
Authors: Горбань Д. А.
Published: May 2024

У статі зосереджена увага на ретроспективному аналізі трансформації моделі охорони здоров’я в Україні. Дослідження пропонує глибокий аналіз етапів реформування системи охорони здоров’я в Україні, від початку незалежності до сучасного періоду. Висвітлені ключові аспекти кожного етапу, виявлені системні віхи, які вплинули на результати реформування та трансформаційні зміни. Узагальнені основні здобутки реформування для системи охорони здоров’я та суспільства в цілому. На основі системного підходу та аналізу основних результатів реформування з 1991 року до тепер, обґрунтовано висновок, що загальний процес реформування системи охорони здоров’я налічує вісім основних системних віх, які суттєво змінили характер сфери охорони здоров’я та основи її функціонування в нових умовах. Так, у дослідженні запропоновано виділення наступних восьми ключових етапів трансформації охорони здоров’я: 1) 1991-2000 – започаткування ринкових засад функціонування системи охорони здоров’я; 2) 2000-2010 - створенням загальнообов’язкового медичного страхування; 3) 2010-2014 - реалізація масштабної медичної реформи під назвою «Ваше Здоров'я»; 4) 2014-2016 - створення Національної служби здоров'я України; 5) 2017-2018 - реформа первинної ланки охорони здоров’я та запровадження моделі фінансування охорони здоров'я «гроші йдуть за пацієнтом»; 6) 2018-2020 – цифровізація медичної допомоги «система електронного здоров'я»; 7) 2021-2022 – модернізація екстреної медичної допомоги; 8) лютий 2022- до тепер - адаптаційний військовий етап реформування охорони здоров’я. У статті детально проаналізовано особливості кожного етапу та їхні впливи на стан системи охорони здоров’я в Україні. Зокрема, висвітлено прогрес у досягненні основних цілей реформи, а також ідентифіковано незавершені завдання та виклики, що залишаються перед медичною системою країни. Висновки статті сприятимуть подальшому розвитку стратегій та політик у галузі охорони здоров’я в Україні та інших країнах, які стикаються з подібними викликами у сфері охорони здоров’я.
The Influence Of Financial Performance And Tax Avoidance On Company Value In Mining Companies Listed On The Indonesian Stock Exchange 2017-2022
Authors: Dinarjito Agung
Published: May 2024

Tax avoidance is an interesting research theme to discuss. This is because it will provide benefits to the company, but on the other hand, tax avoidance is an action that tends to be detrimental to the company. People tend to think that this action is a negative action whose impact will be detrimental to the company, both in terms of financial performance and company value. This research aims to analyze whether financial performance as measured by Return on Assets (ROA) and Return on Equity (ROE) has a significant effect on company value. This research also aims to analyze whether tax avoidance has a significant effect on company value. This research is quantitative research analyzed using multiple linear regression. The research samples are mining sector companies listed on the Indonesian Stock Exchange from 2017 to 2022. The research results show that tax avoidance and financial performance have a significant effect on company value. Tax avoidance as measured by the effective tax rate has a positive effect on company value. Financial performance measured using ROA has a negative effect on company value and ROE has a positive effect on company value. This research is expected to contribute to increasing knowledge regarding the topic of tax evasion in relation to financial performance and company value. For companies, this research is expected to provide additional considerations if companies carry out tax avoidance actions.
Deep Learning Approach for Intrusion Detection System
Authors:   Department of CSE JNN College of Engineering,, A P Niharika
Published: May 2024

The rapid growth of the Internet and communications has resulted in a huge increase in transmitted data. These data are coveted by attackers and they continuously create novel attacks to steal or corrupt these data. The growth of these attacks is an issue for the security of our systems and represents one of the biggest challenges for intrusion detection. An intrusion detection system (IDS) is tool that helps to detect intrusions by inspecting the network traffic. A system called an intrusion detection system (IDS) observes network traffic for malicious transactions and sends immediate alerts when it is observed. It is software that checks a network or system for malicious activities or policy violations. Each illegal activity or violation is often recorded and notified to an administrator. IDS monitors a network or system for malicious activity and protects a computer network from unauthorized access from users, including perhaps insiders. The intrusion detector learning task is to build a predictive model capable of distinguishing between ‘malicious connections’ and ‘genuine connections’. Keywords: Cyber security, intrusion detection, malware, machine learning, deep learning, deep neural networks, CNN,
IoT based Water Tank Cleaner using STM32
Authors:   Department of Electronics & Telecommunication Engineering Sir Visvesvaraya Institute of Technology, Chincholi, Nashik, Maharashtra, India, Rutuja Gite
Published: May 2024

Water tanks are essential for storing and supplying clean water in both residential and industrial settings. However, over time, these tanks can accumulate sediment, algae, and other contaminants that can compromise water quality. Cleaning and maintaining water tanks is a critical task to ensure the supply of safe and clean water to consumers. The IoT-Based Water Tank Cleaner using STM32 project aims to address this issue by developing an innovative solution that automates the cleaning process of water tanks. This project leverages the power of the Internet of Things (IoT) and the capabilities of the STM32 microcontroller to create an intelligent and efficient water tank cleaning system. This project presents an innovative solution for water tank cleaning using the STM32 microcontroller and IoT (Internet of Things) technology. The proposed system automates the process of cleaning and monitoring water tanks, ensuring efficient operation and minimizing manual intervention. Water scarcity is a pressing global issue, necessitating efficient management of water resources. One significant aspect of water management is maintaining the cleanliness of water storage tanks, which often harbor contaminants due to neglect or inadequate cleaning procedures. This project introduces an IoT-based solution leveraging the STM32 microcontroller to automate the cleaning process of water tanks. The system employs sensors to monitor water quality, an actuator for tank cleaning, and IoT connectivity for remote monitoring and control. Key Words: Water tank cleaning, IoT-based solution, STM32, Water quality, Sediment removal
Smart Container System
Authors:   Department of Computer Science & Engineering (AIML) & Information Technology, Inderprastha Engineering College,, Taneja Bhavya
Published: May 2024

This paper focuses on developing an affordable and user-friendly smart container system to address a common household challenge. Many households experience the need for constant monitoring of kitchen supplies, especially groceries. Often, the responsibility falls on the family's female to track the diminishing stock, eventually resulting in an ever- growing shopping list on the fridge. This leads to frequent visits to supermarkets which is slightly difficult for working females. Leveraging the capabilities of the Internet of Things (IoT) this project introduces the concept of a "Smart Container" to automate and streamline this process. Keywords: Load cell, Weight sensor module HX711, Arduino Uno, LCD, GSM modem, GSM module SIM900.
SMART AUTOMATED PESTICIDE SPRINKLING ROBOT
Authors: A M Sindhu Jain
Published: May 2024

For a long time, agriculture has been the main industry in our nation. But there are currently obstacles in agriculture because of the migration of people from rural to urban areas. Therefore, we use Internet of Things-based smart agriculture solutions to solve this issue. This project has a number of characteristics, including security, appropriate watering facilities, moisture and temperature sensors, GSM-based remote controlled monitoring, and intruder frightening. It uses wireless sensor networks to record the characteristics of the soil. Different sensor nodes are placed across the farm at various points. Sensors, cellular data, cameras, and microcontrollers are interfaced to perform operations, and these parameters can be controlled by any remote device or internet service. This idea is developed into a product and provided for the wellbeing of farmers. Keywords- IoT, Agribot, Sprayer, Pesticides, wireless controller
Investigating the Influence of Decisive Variables on Employee Attrition in Special Needs Schools
Authors:   Research Scholar, Faculty of Management, Bhagwant University, Ajmer, Rajasthan, India., Mungamuru Nirmala
Published: May 2024

Human Resources are backbone for any organisation. Special educators play a substantial role in empowering the differently-abled. Acquiring and retaining the qualified workforce in the field of special education is a question of concern. Attrition across-the-board threatens not only their quality of education, but also leads to moral and psychological and emotional disturbance of differently abled. Special educators who are effectively trained and are conscious of the challenges are the need-of-the-hour. More of the prevailing papers in this context are the outcome of multifaceted investigations performed all over the world other than India. To fill the gap, the current study aims to investigate the contributing factors for the high attrition of educators engaged in mentoring and nurturing special children. The proposed research methodology is twofold - descriptive research methodology followed by empirical study. For determining the factors influencing the employee turnover, the researcher has used excel and Python. The results explored the relationship between selected factors and employee attrition viz. Work-life balance, Organizational culture, Remuneration, Superior- Subordinate relationship. It’s not only a grueling state for parents but also proves to be a curse for innocent gifted students to get adapted. If this question is not suitably addressed and explored right now, the lives of exceptional learners will be at stake. Key Words: Employee churn, Special Education, Differently abled, HR Analytics.
DNA Barcoding based Species Classification Using Deep Learning
Authors:   Vidya Pratishthan’s Kamalnayan Bajaj Institute of Engineering and Technology, Baramati, Gawade .Pooja
Published: May 2024

The field of species classification and identification has long relied on various methods, including traditional taxonomy, morphology, and molecular techniques. One of the revolutionary molecular methods that has gained prominence is DNA barcoding. DNA barcoding involves the use of a short standardized DNA sequence from a specific genomic region to identify and classify species. The ”Deep Barcoding” project introduces a novel approach to species classification by leveraging the power of deep learning techniques. Deep learning, a subset of machine learning, has shown remarkable success in various domains, particularly in image and text recognition. This project aims to harness the potential of deep learning in the realm of DNA barcoding, where the traditional methods might face limitations in accuracy, speed, or scalability. Keywords: DNA sequence, Species Identification, One hot encoding, CNN
COMPREHENSIVE STUDY ON PROSPECTS AND CHALLENGES OF WOMEN ENTREPRENEURSHIP IN INDIA
Authors:   Department of Commerce, Christ Church College, Kanpur, Singh Ashutosh
Published: May 2024

This research study thoroughly examines the situation of female entrepreneurship in India, focusing on its evolution, present state, challenges, and promising prospects. It meticulously examines the socio-cultural, economic, and regulatory barriers women entrepreneurs face, as well as the significant, positive impact of government efforts and policy assistance specifically designed to support female-led firms. It also highlights the socioeconomic contributions of women entrepreneurs, particularly in terms of economic growth, social empowerment, and community development. The study concludes with a set of recommendations for improving access to funding, mentorship, regulatory reforms, and cultural change in India, all aimed at fostering a more conducive environment for women entrepreneurs. The findings highlight the significant advancements in women's entrepreneurship in India, characterised by burgeoning participation and expansion into diverse industries. Female entrepreneurs are not just making socio-economic contributions; they are also driving economic expansion, promoting social empowerment, and fostering community development. Despite these achievements, they face persistent obstacles such as socio-cultural impediments, budgetary limitations, a lack of guidance, and regulatory hurdles. However, the potential of women entrepreneurs to overcome these challenges and contribute even more to India's progress is immense. Addressing these issues through ongoing government assistance, legislative overhauls, inclusion in financial services, skill enhancement, and societal transformation is crucial for establishing a more comprehensive and vibrant entrepreneurial environment. The promotion of the economic and social advancement of women entrepreneurs is not just a necessity but a beacon of hope for achieving long-term and equitable progress in India. Key Words: Women Entrepreneurs, Women Empowerment, Entrepreneurship
Futsal Extracurricular Management Junior High School
Authors: Filli Azandi  , Mawardinur Mawardinur
Published: May 2024

The purpose of this study is basically to find answers to the problems that have been formulated above, namely how to manage futsal sports management at SMP Negeri 27 Medan so that it can continue to maintain the tradition of winning every tournament. Based on the results of the questionnaire calculations that have been carried out, it is known that the average questionnaire results measure futsal management starting from planning 84.09%, organizing 60.41%, implementing 78.03%, supervising 61.11%. From the results of the questionnaire test, it can be concluded that the extracurricular management of SMP Negeri 27 Medan researchers can conclude that the extracurricular management of futsal SMP Negeri 27 Medan has mostly been implemented with a percentage of 73.57% so extracurricular management is mostly implemented.