bluuebunny/crossref_metadata_2025 huggingface dataset:
Influencing factors, diagnosis and prevention strategies of psychological problems of medical staff during the COVID-19 epidemic
Authors: Zhou Chengyu
Published: February 2025

It is essential to pay attention to the mental health of healthcare workers during the COVID-19 pandemic. At present, existing studies mainly describe the problems existing in various regions and countries, and there are few summaries on the mental health of medical staff. This article analyzes and summarizes the influencing factors, diagnosis, and prevention and treatment strategies of mental health problems of medical staff during the COVID-19 outbreak. The key factors include insufficient social support, high-risk exposure in the clinical environment, and heavy workload, especially in intensive care. In addition, women, young staff, nurses, and people with a history of mental illness are more susceptible to psychological distress. This article also discusses diagnostic methods and outlines prevention strategies, including policy intervention, strengthening social and emotional support, equitable workload distribution, and reducing stigma. The results can be applied to the care of medical staff, the formulation of public health strategies, and provide some reference for future research.
Integrating Big Data Analytics and Visualization in Ocean Circulation Modeling for Climate and Ecosystem Insights
Authors: Liu Jiongyu
Published: February 2025

Ocean circulation plays a key role in the global climate system and marine ecosystems. Accurate monitoring and modelling of ocean circulation not only contributes to an in-depth understanding of climate dynamics, but also has important applications in marine biodiversity conservation, shipping route optimization, and early warning of natural disasters (e.g., storm surges and tsunamis). With the rise of big data technologies, the volume of ocean circulation data has increased dramatically, and traditional analytical methods are difficult to cope with these complex datasets. The efficiency and accuracy of ocean circulation studies can be significantly improved by introducing big data analysis and visualisation techniques. This paper provides an overview of the application of big data analytics and visualisation methods in ocean circulation research, discusses various analysis techniques used to handle big data sets, evaluates their effectiveness, and looks at future trends and challenges in the field, future research will aim to further improve the accuracy and efficiency of ocean circulation data processing.
Research on Intelligent Supply Chain Forecasting Based on Multi-Model Hyperparameter Optimization
Authors: Guo Yize , Xu Zixin
Published: February 2025

In the e-commerce supply chain, transportation cost is one of the key factors affecting the overall supply chain cost. Reasonable planning of transportation routes and warehousing layout can effectively reduce transportation costs, thereby improving supply chain efficiency and benefits. Accurate demand forecasting plays a core role in determining the appropriate location and number of warehousing sites. Accurate forecasting can greatly enhance decision-making processes such as inventory optimization and distribution planning. This paper uses optimization algorithms and multi-model ensemble learning to accurately predict future demand, aiming to improve the adaptability and competitiveness of the supply chain. For this issue, the dataset is first standardized, and outliers are identified and removed. Subsequently, visual analysis of different data dimensions is conducted to preliminarily identify the influencing factors and features of demand forecasting. Based on the combination of merchants, warehouses, and products, demand quantity characteristics and structural features are quantified from three dimensions: central tendency, data distribution, and dispersion. The SSA Sparrow Search Algorithm-optimized KMeans clustering is used to process the quantity and structural features of historical demand, and sequence decomposition is applied to identify the demand patterns for each category, as shown in Figure 15. Finally, the paper evaluates the advantages and disadvantages of the constructed model and the handling of issues, proposes improvements to the model, and extends the model.
The Damage and Treatment of Foot Pronation
Authors: Xu Yulang
Published: February 2025

Foot pronation is a motional pattern, defined as the inward rolling of the foot while walking or running, can trigger a variety of health problem in lower limb, including plantar fasciitis, Achilles tendinopathy, and knee pain. This disorder alters natural biomechanics by disturbing the line of force in lower-limb and putting unnecessary strain on both muscles and joints. Effective treatment options to the problem include physical therapy, custom orthotics, and specific strengthening exercises. Additionally, proper footwear can assist people who participate in sports alleviate the negative consequences of pronation by providing extra support and suitable cushioning to the foot structure. This study emphasizes the need of personalized approaches for the best possible rehabilitation and prevention by thoroughly examining the processes of foot pronation, the injuries resulting from it, and current evidence-based treatment options. It aims to helps optimize patient outcomes and overall life quality using scientific method and intervention tactics.
Investing the combination of Age-related and the symptoms, treatments of knee
Authors: Wang Junxi
Published: February 2025

This study focuses on the symptoms and treatment of knees in different age groups. As knee joints face different problems at different ages, such as children prone to injury and congenital diseases, adolescent sports injuries and adolescent growth imbalance, adults often have chronic strain and acute trauma, and the elderly suffer from osteoarthritis and rheumatoid arthritis, this study is conducted. The paper comprehensively explores the knee related problems in children, adolescents, adulthood, and old age, covering physiological characteristics, common symptoms, diagnostic methods, and treatment methods. During research, literature review, clinical case data analysis, expert consultation and experience exchange were used. The common symptoms of knees in all age groups, such as growth pain in children, the corresponding diagnosis methods according to the characteristics of different age groups, and the precise treatment measures, including physics, medicine, surgery and rehabilitation training, which are of great significance to improve the quality of life of patients and reduce the social medical burden.
Biomechanics of the Ankle
Authors: Lin Siyi
Published: February 2025

The distal tibiofibular joint (DTFJ), talocrural joint (TCJ), and subtalar joint (STJ) make up the ankle joint complex (AJC). This review examines the biomechanics of the AJC, focusing on joint anatomy, ligament stabilization, and the role of external muscles in foot and ankle movements. The AJC is essential for transferring weight, facilitating movement, and maintaining stability. The TCJ facilitates dorsiflexion (DF) and plantar flexion (PF), while the STJ primarily supports inversion (IV) and eversion (EV). The oblique axis of rotation gives rise to multi-planar motions, such as supination and pronation in ankle movements. Range of motion (ROM) varies across planes and is influenced by age, gender, and sport-specific demands. Variations in ROM also have implications for injury risk and athletic performance. By discussing ankle joint complex, this review provides a clear understanding of ankle biomechanics, thus enabling more effective training and rehabilitation protocols, and injury prevention strategies for athletes and general population.
CRISPR technology advances immunotherapy in cancer research: Research progress
Authors: Li Yuzhu
Published: February 2025

CRISPR-Cas9 technology is profoundly revolutionizing adoptive cell immunotherapy in the field of cancer treatment, especially CAR-T and TCR-T cell therapy. The technology enables highly customized modification of T cells through precise gene editing, solving some of the challenges that exist in traditional therapies. This review mainly introduces the application progress of CRISPR-Cas9 in CAR-T and TCR-T therapy, as well as related technical principles, and provides reference for future adoptive cell immunotherapy for cancer and other related diseases. With more in-depth research and clinical practice, CRISPR-Cas9 is expected to become a sword in the field of cancer treatment, bringing significant improvements in long-term survival and fundamental improvements in quality of life to countless cancer patients, marking the arrival of a new era of personalized medicine. In summary, CRISPR-Cas9 technology is leading adoptive cell immunotherapy into a new stage of development with its unique advantages and excellent results, and constantly expanding the boundaries of the possibility of human victory over cancer.
Research on News Text Classification Method Based on Hybrid Neural Networks
Authors: Zhao Meijie , Liu Guozhu
Published: February 2025

With the rapid advancement of Internet technologies, news websites and online media platforms have become crucial components of the news dissemination landscape. Online news has also become one of the primary sources for people to obtain information. To meet the needs of numerous internet news readers and ensure that content providers can efficiently deliver personalized news recommendations, the effective control and utilization of internet news information have become essential. In this context, a news text classification method based on hybrid neural networks has emerged. Addressing the limitations of E-TF-IDF in neglecting positional relationships, this paper proposes a function that incorporates positional variables, denoted as P, based on readers' habits and the normal distribution. This study integrates the advantages of Bert, CNN, and BiLSTM. First, the preprocessed data is fed through the E-TF-IDF-P algorithm into the Bert model. Then, local features are extracted via TextCNN, and global features are captured via BiLSTM. These features are fused and input into the softmax layer for text classification.
Comparative Analysis of Traditional Machine Learning and Deep Learning Methods: Performance on Datasets of Varying Complexity
Authors: Jiang Kaitao
Published: February 2025

This study presents a comparative analysis of traditional machine learning and deep learning methods, evaluating their performance on datasets of varying complexity. Traditional methods such as Random Forests and Naive Bayes exhibit high accuracy and computational efficiency for low-complexity tasks, making them suitable for real-time applications. In contrast, deep learning techniques, including Convolutional Neural Networks (CNNs) and Autoencoders, excel in high-complexity tasks such as image and speech processing but require significant computational resources and longer training times. By analyzing their respective strengths and limitations, this research provides insights into selecting the appropriate algorithm based on dataset complexity and task requirements. The findings highlight opportunities for hybrid models to combine the benefits of both approaches, addressing computational efficiency and accuracy. Future research directions include enhancing deep learning model interpretability and optimizing preprocessing techniques to improve performance in data-scarce scenarios.
Investigating the Potential of Brain-Computer Interfaces in Controlling Smart Home Devices for Individuals with Mobility Impairments
Authors: Zhou Huiying
Published: February 2025

Patients with spinal cord injuries and other similar conditions experience limited mobility and thus more difficulties with performing certain daily tasks independently. The investigation on the unification of Brain-Computer Interfaces (BCIs) with smart home systems aims to present a substitute method of control that is based on signals from the brain. The investigation one undertakes seeks to unmask the effectiveness, functionality, and shortcomings of BCI-smart home systems in actual social circumstances. Participants consisted of healthy individuals and impaired individuals who performed basic and complex operations using BCI systems. The results demonstrated 85% success for movement-impaired users and 92% for healthy individuals in simple tasks, but the rate decreased for the complex ones due to problems, including cognitive load and signal precision. The approach involved conducting experiments on various BCI paradigms, such as imaging tasks related to motor activities and SSVEP. Research brought to the surface the first inklings towards recognizing BCIs as tools to enhance the levels of autonomy and accessibility in patients with mobility impairments, shaping the ground where such technology will flourish, but more must be done in the field of signal processing, interface design, and hybrid control over multiple modalities before wider adoption of BCIs can be achieved.
From Vision to Precision: Enhancing Object Detection Robustness in Autonomous Driving
Authors: Cao Hengchen
Published: February 2025

In the ever-evolving landscape of autonomous driving, object detection serves as the backbone of perception, dictating the safety and reliability of entire systems. Yet, navigating the complexities of real-world environmentsranging from adverse weather and occlusions to sensor noise and unknown objectsremains a formidable challenge. These obstacles underscore the urgent need to enhance the robustness of object detection systems, a cornerstone for the advancement of autonomous driving technologies. This survey delves into the latest research aimed at strengthening object detection robustness and explores critical aspects, such as advanced data augmentation methods, resilient model architectures, multi-modal feature representation, and emerging learning paradigms. Large-scale pre-trained models, comprehensive evaluation metrics, and testing protocols are also discussed to assess robustness under diverse conditions. By synthesizing existing research, this paper identifies current gaps and proposes pathways to balance performance and robustness while ensuring scalability. This work provides actionable insights for researchers and engineers, aiming to inspire the development of safer, more reliable, and adaptive object detection technologies for autonomous driving.
Progress in the application of deep learning in medical image recognition
Authors: Tian Haoyu
Published: February 2025

With the continuous progress of deep learning technology, its application in the field of medical image recognition has made remarkable progress. The purpose of this review is to discuss the effectiveness, application value and future prospects of deep learning in current medical image recognition tasks. The application of deep learning technology in medical image recognition has shown broad prospects, and it is expected to play an important role in more practical scenarios in the future and promote the further development of intelligent vision technology. This paper first introduces the optimization methods, data sets and evaluation indicators of medical image recognition in detail, then reviews the commonly used technologies of medical image recognition, and finally summarizes the existing limitations and prospects for the future, and makes a summary of this paper. In conclusion, deep learning has shown great potential in medical image recognition and is expected to play a key role in advancing the field, with promising prospects for future applications in clinical practice.
A review of space robotic arm technology
Authors: Su Zihan
Published: February 2025

This paper summarizes the development of space manipulator technology at home and abroad, analyzing the trend of space manipulator technology is analyzed on task type, configuration, and operation mode. It also summarizes key technologies in mission planning, system control, path planning, vision perception, teleoperation control, and ground test verification. Finally, it summarizes the problems in the current space robotic arm technology and suggests solutions for developing China's space robotic arm.
Matamaterial development for Terahertz absorber with dynamic tunable property
Authors: Tan Yunxin
Published: February 2025

Typical metamaterials which could achieve dynamic tunable property of terahertz absorption such as VO2, STO and graphene were reviewed. VO2, STO, Graphene are typical terahertz dynamic tunable absorbing metamaterial. Their unique optoelectronic properties can alter the properties of the material itself under changing external conditions, thereby achieving dynamic modulation of absorbed terahertz waves. The reasons of metamaterials could be used as terahertz dynamic absorbers were analyzed from the aspects of lattice structure, material properties, and electrical properties. The adjustable properties of each of the three materials and the external conditions required for tunable properties were explained. Simultaneously demonstrate the structure of metamaterials composed of three materials and their respective terahertz absorption properties. The advantages and disadvantages of three materials as terahertz dynamic absorbers were analyzed and discussed. The future development of three materials as terahertz dynamic absorbers was discussed, and the challenges and development of metamaterials in terahertz absorption dynamic modulation were reviewed.
Facial Deepfake Detection Based on Spactial Image Features
Authors: Cao Xiuqi
Published: February 2025

With the continuous development of deepfake technology, led by "ai in face" many depth of forged related technology began to fill in the line of sight of the public, its not only in the entertainment industry provides extremely convenient function, but also brought including but not limited to information fraud many malignant events, so the depth of forged detection technology is particularly important. This article begins by reviewing the history of deep forgery, And the most common reproduction, editing, replacement and synthesis, Following up with examples and comparisons of data sets emerging in recent years, Then, the face depth forgery detection technology based on spatial image features based on attention network, based on autoencoder, based on vision Transformer and based on data enhancement of four directions are roughly introduced, Finally, the paper explores some of the problems in the field, and with the existing challenges, Some future development directions are proposed, The full text is also summarized.
Constructing a mental health analysis system for social media using large language models
Authors: Liang Jinming Zion
Published: February 2025

As social media platforms have penetrated every aspect of peoples lives, many mental health problems have also arisen along with them. In todays digital age, analyzing mental health trends through these platforms has become critical. In this study, we present a system designed to identify the mental health trends of Weibo users by extracting and analyzing the content posted by users on Weibo, Chinas leading social media platform. The system is mainly composed of two parts: a data acquisition module and an analysis module. The data collection module uses the Python-based web scraping tool Scrapy to scrape comments from popular topics on Weibo. At the heart of the analysis module is a large language model fine-tuned from a psychological database. The module assesses the topic and specific content of the posts, scoring comments based on criteria such as positivity, alignment with mood disorders, and potential signs of psychoactive substance use. This data is stored and mediated using the relational database MySQL, and then analyzed and visualized using advanced data analysis tools. Through this method, we can timely and comprehensively monitor the mental health status of social media platforms, and provide a solid foundation for further academic research on public mental health.
Recent developments in phosphorus-containing ester prodrugs and its prospectives
Authors: Huang Xiao , Fu Jing
Published: February 2025

Prodrugs has been established as a strategy to improve the medical properties of their parent drugs, and thereby enhance the possibility of these potential drugs to cure the disease but this modified drugs should be cautious as their properties like issue distribution, efficacy and toxicity may change. In the current developed modifying strategies, esterification is among the most common ones, which masks charged hydrophilic groups with ester promoieties so that permeation ability of drugs through the membrane will enhance. Among various esters, phosphorus-containing ester prodrugs are attractive due to close relationship between atom phosphorus and key bioactive compounds including DNA or RNA, phospholipid, proteins. Herein, we will review the developments of these prodrugs, especially phosphate and phosphonate prodrugs, their synthetic methods, pros and cons, application and methods for characterization, with which specific examples or clinical trials will be attached for clearer description Ultimately, we prospect that the phosphorus-containing prodrugs will for certain be further studied and improved and be an indispensable role in medical cares.
Mechanism of melittin for anti-tumor effects: Research status and future perspectives
Authors: Li Yixuan
Published: February 2025

Cancer is a primary cause of mortality in humans. Conventional chemotherapy has hazardous side effects and numerous limitations, necessitating the urgent exploration of novel anti-cancer agents. Based on existing literature and data, this article reviews the anti-tumor mechanism, current application status, and future development of bee venom peptides. The research findings demonstrate that bee venom peptide, a natural cell lytic peptide, possesses many anti-tumor mechanisms, including the direct destruction of tumor cells, the induction of tumor cell apoptosis, and immunological modulation. It can disrupt the integrity of the cell membrane and lead to cell death. It can also activate apoptosis signaling pathways through endoplasmic reticulum, mitochondria, and death receptors, promoting apoptosis of tumor cells. Meanwhile, it can reshape the immune microenvironment and stimulate immune responses. The author also discussed issues such as poor stability, low bioavailability, lack of targeting, and potential safety of bee venom peptides. In the future, it is recommended to develop new derivatives of bee venom peptides and optimize combination therapy strategies.
KOMPARATIVNA ANALIZA MODELA KREDITNOG SKORINGA: KONVENCIJALNI VS MODELI BAZIRANI NA MAŠINSKOM I DUBOKOM UČENJU
Authors: Rankov Milovan
Published: February 2025

Ovaj istraživački rad predstavlja komparativnu analizu različitih modela kreditnog skoringa, fokusirajući se na poređenje logističke regresije sa naprednim modelima mašinskog i dubokog učenja. Kao indikatori performansi modela i osnova za poređenje njihove efikasnosti biće korišćeni tačnost, preciznost, F1, opoziv, Gini i AUC. Jedan od osnovnih ciljeva ovog rada jeste da na transparentan način prikaže efikasnost različitih model i ukaže na njihove prednosti odnosno nedostatke. Za emprijsku analizu biće korišćena „Kaggle” baza podataka o ponašanju dužnika, a samo modeliranje će biti rađeno u razvojnom okruženju PyCharm koristeći Python programski jezik. Jedan od osnovnih rezultata istraživanja jeste da su modeli bazirani na dubokom učenju daleko efikasniji od ostalih modela, posmatrano kroz prizmu pomenutih indikatora performansi.
Protecting whistle-blowers in the public service
Authors: Roche Maximilien ,   International Labour Organization. Sectoral Policies Department,
Published: February 2025

This paper provides an analysis of national laws relevant to whistle-blowers in the public sector across 67 ILO Member States. It studies each national law through a selection of indicators derived from reference frameworks and guidance by inter-governmental organizations (e.g. UNODC, OECD) and global civil society organizations (e.g. Transparency International, the International Bar Association). It aims at drawing a picture of each studied member state’s approach to specific questions such as which public sector employees should benefit from a statutory whistle-blower protection, under which conditions and what such protection entails. The study concludes by observing that although enacting national laws protecting whistle-blowers is a relatively recent trend, such laws present a broad diversity of approaches which contrasts with the relative consistency of institutional recommendations.
Comparing The Effect Of Office Hysteroscopy With Endometrial Injury Versus Office
Hysteroscopy In Gonadotropin-Induced Cycles Before Intrauterine Insemination
Outcome: A Randomized Controlled Trial
Authors: EGE Serhat , M Numan
Published: February 2025

Aim: The aim of this study was to evaluate the implantation success of local
endometrial injury in patients undergoing intrauterine insemination following ovulation
induction with gonadotropins.
Materials and methods: In this prospective randomized controlled trial, ovulation induction
was performed with gonadotropins in 30 patients following intrauterine insemination. Group
1 was comprised of 30 patients who underwent injury by hysteroscopy; the control group
(Group 2) consisted of 30 patients who underwent hysteroscopy only.
Results: There was no significant difference in the clinical pregnancy (16.6 % [5/30] versus
18.7% [6/32]; p = 0.8), abortion (3.3% [1/30] versus 3.1% [1/32]; p = 0.9) or multiple
pregnancy (3.3% [1/30] versus 3.1% [1/32]; p = 0.9) rates.
Conclusion: No significant difference was found in the clinical pregnancy, multiple
pregnancy or abortion rates between the intervention group, which underwent hysteroscopic
injury in the follicular phase before intrauterine insemination induced by gonadotropins, and
the control group, which underwent hysteroscopy only.
Transient and Dynamic Analysis of a Line-Start Radial Synchronous Reluctance Motor with Auxiliary Capacitive Winding
Authors: MUTEBA MBIKA
Published: February 2025

This paper deals with transient and dynamic analysis of a line-start radial synchronous reluctance motor (LSR-SynRM) with auxiliary stator capacitive winding (ASCW) suitable for direct drive industrial loads such as conveyor belts and centrifugal pumps. The machine which has been designed from an IE2-132S4 conventional foot mounted three-phase induction motor NEMA frame is modelled using Finite Element Method (FEM), then prototyped and tested for transient and dynamic capabilities. The stator slots house both main and auxiliary windings. The rotor laminations have two flux barriers, two radial magnetic ribs and four tangential magnetic bridges per pole. The upper and lower flux barriers accommodate copper bars, which are short circuited by common end rings. The time step Finite Element Model (FEM) coupled to an external capacitive circuit is utilized to analyze the transient behavior of LSR-SynRM. To validate the numerical method, a testbed is set up for experimental measurements. The measured results evidenced that for any given capacitance value connected to auxiliary winding, the LSR-SynRM successful pulled into synchronism when started with no-load and with light load up to 25% of the full load. The results further proved that the LSR-SynRM with ASCW may be started at no-load or light load, and successfully be fully loaded after it has reached the synchronous speed and still be able to meet the efficiency IE4, and while operating with excellent power factor
Güncel Olaylarla Çocuk Hakları Öğretimi
Authors: Dönmez Tuğba , Yel Selma
Published: February 2025

Demokrasinin ve sürdürülebilir kalkınmanın ana konusu:rnÇocuk HaklarırnKüresel değişimlerin hız kazandığı günümüzde, çocukrnhaklarını öğretmek ve öğrenmek her zamankinden daharnönemli hale geliyor. Çocuk Hakları Sözleşmesi'nin evrenselrnilkelerini temel alan bu kitap, çocuk hakları eğitimininrnolanaklarını ve sınırlarını anlamaya yönelik kapsamlı bir rehberrnsunuyor.rnİlkokul öğrencilerine yönelik geliştirilen etkinliklerle çocukrnhakları farkındalığını artırmayı amaçlayan bu eser, teorikrnbilgilerin yanı sıra, öğretmenler ve eğitimciler için pratik dersrnplanları ve çalışma yaprakları da içeriyor. Bu konunun ilkokulrnöğrencilerine öğretilmesinde rol model davranışlarırnpekiştirecek uygulamalara ihtiyaç vardır. Güncel olaylarlarnzenginleştirilen bu çalışma, çocukların kendilerini ifadernedebilecekleri bir öğrenme ortamı sunarken, onların haklarınırnsavunabilme becerilerini geliştirmelerine de katkı sağlıyor.rnÖğretmenlerden akademisyenlere, program geliştiricilerdenrnöğretmen adaylarına kadar geniş bir okuyucu kitlesine hitaprneden bu kitap, çocuk hakları öğretimine dair yenilikçi bir bakışrnaçısı sunuyor. Eğitimde kalıcı bir değişim yaratmak isteyenrnherkes için vazgeçilmez bir kaynak!
Development of a Vertical Acceleration Sensor Based on Embedded Systems
Authors: Qiu Zhi , Luo Yijiao
Published: February 2025

This paper analyzes the acceleration detection requirements of the traveling block system and proposes an acceleration detection scheme using the traveling block as the target. An implementation plan based on the STM32 microcontroller and RS485 wired communication was developed. The hardware circuit and PCB design were carried out using components such as the STM32 microcontroller and MPU6050 gyroscope chip. Data acquisition and display were achieved through SPI and I2C communication implemented in software, while data was transmitted via wired communication using hardware UART peripherals. An experimental platform was built to test acceleration detection and wired data transmission. Compared with other design schemes, this design fully considers the impact of attitude changes on vertical acceleration detection, optimizing the sensor's detection algorithm and hardware design. It provides a technically valuable reference for engineering applications in related fields.
Hướng tới tòa nhà phát thải ròng bằng “0” tại Việt Nam
Authors: Huyền Lê Thị , Lan Đinh Thị Phương , Trung Nguyễn Thành
Published: February 2025

Biến đổi khí hậu đang trở thành thách thức lớn, trong đó ngành xây dựng chiếm tỷ lệ đáng kể trong tổng lượng phát thải CO2. Để đạt mục tiêu phát thải ròng bằng "0" theo cam kết COP26, việc xây dựng công trình đạt phát thải ròng cacbon bằng “0” là giải pháp quan trọng trong thời gian từ nay đến 2050. Nghiên cứu đánh giá tổng thể phát thải cacbon trong suốt vòng đời tòa nhà, từ khai thác vật liệu, chế tạo, xây dựng, vận hành đến phá dỡ và phân tích các giải pháp giảm thiểu, bao gồm: sử dụng vật liệu ít cacbon, tối ưu hóa thiết kế, nâng cao hiệu suất năng lượng, tái chế vật liệu và phát triển năng lượng tái tạo. Từ đó đề xuất các giải pháp để thực hiện hóa mục tiêu này đối với Việt Nam là cần nhanh chóng xây dựng tiêu chuẩn Net Zero Carbon Building (NZCB), thử nghiệm công trình thí điểm và thiết lập hệ thống chứng nhận để thúc đẩy công phát thải ròng bằng “0”, góp phần giảm phát thải khí nhà kính và phát triển bền vững.
Adolescências e saúde mental: um diálogo a partir da estratégia do cine debate
Authors: Mancini Fabi Rafaela , Gasparini Danieli Amanda , Barboza Cid Maria Fernanda
Published: February 2025

Estudos sobre a promoção da saúde mental de adolescentes no contexto escolar são escassos, especialmente quando se considera a participação ativa dessa população. Esta pesquisa qualitativa tem como objetivo compreender e analisar, em parceria com adolescentes de uma escola pública, aspectos relacionados à saúde mental por meio da metodologia do Cine Debate. Foram realizados dois encontros com exibição de filmes seguidos de debates, os quais foram transcritos e considerados pela Análise Temática de Bardin. A partir dos resultados, observou-se que os/as participantes apresentaram suas perspectivas sobre relacionamentos interpessoais, salientando dificuldades e facilidades, bem como características da vivência do adolescer. Além disso, avaliaram positivamente a estratégia do Cine Debate. O estudo contribuiu para a apresentação das perspectivas dos/as adolescentes sobre esse momento de vida, o apoio social e as formas possíveis de realizar atividades de debate sobre a temática da saúde mental no contexto escolar.
Tren kepatuhan wajib pajak dengan adanya penurunan tarif pajak penghasilan wajib pajak badan di KPP Pratama Palembang Ilir Timur
Authors: Marfiana Andri , Andani Evi
Published: February 2025

This study investigates the trends in corporate taxpayer compliance following the reduction in Corporate Income Tax rates at the Palembang Ilir Timur Tax Office. A mixed-method approach was adopted, utilizing primary data collected through interviews and questionnaires from 30 respondents, alongside secondary data spanning 2018 to 2022. The analysis, employing descriptive statistics and simple linear regression, reveals a significant yet multifaceted impact of tax rate reductions on compliance levels. Material compliance, reflected in timely tax payments, demonstrated improvement, whereas formal compliance, pertaining to the submission of annual tax returns, showed a decline, especially during the COVID-19 pandemic. Key factors influencing compliance include economic conditions, taxpayer perceptions of fairness, and the efficiency of tax administration and outreach initiatives. These findings underline the critical need for integrated strategies, such as enhanced taxpayer engagement and streamlined administrative processes, to sustain and improve compliance levels. This research contributes valuable insights for policymakers aiming to refine tax regulations and foster a more effective tax system.
Penelitian ini mengkaji tren kepatuhan wajib pajak badan setelah penurunan tarif Pajak Penghasilan Badan di Kantor Pelayanan Pajak Pratama Palembang Ilir Timur. Pendekatan metode campuran digunakan dengan data primer yang dikumpulkan melalui wawancara dan kuesioner dari 30 responden, serta data sekunder yang mencakup periode 2018 hingga 2022. Analisis yang menggunakan statistik deskriptif dan regresi linier sederhana menunjukkan dampak yang signifikan namun kompleks dari penurunan tarif pajak terhadap tingkat kepatuhan. Kepatuhan material yang tercermin dalam pembayaran pajak tepat waktu mengalami peningkatan, sedangkan kepatuhan formal yang terkait dengan pelaporan Surat Pemberitahuan Tahunan menunjukkan penurunan, terutama selama pandemi COVID-19. Faktor utama yang memengaruhi kepatuhan meliputi kondisi ekonomi, persepsi wajib pajak terhadap keadilan tarif, dan efektivitas administrasi pajak serta kegiatan sosialisasi. Temuan ini menyoroti pentingnya strategi terpadu, seperti peningkatan keterlibatan wajib pajak dan penyederhanaan proses administrasi untuk mempertahankan dan meningkatkan tingkat kepatuhan. Penelitian ini memberikan wawasan berharga bagi pembuat kebijakan dalam menyempurnakan regulasi perpajakan dan menciptakan sistem perpajakan yang lebih efektif.
Chitosan–Silica Composite Aerogel for the Adsorption of Cupric Ions: Isothermal Remodeling and MOORA-Based Model Selection
Authors: Shukor Mohd Yunus
Published: February 2025

A remodeling evaluation was conducted on the sorption isotherm data for copper adsorption onto chitosan–silica composite aerogel (Vareda et al., 2024) using nonlinear regression due to the irregular manner in which the regression was done and reported. The remodelling exercise results showed that the top five were Koble-Corrigan, Brouers–Sotolongo, Fritz-Schlunder III, Hill, and Sips models. The Brouers–Sotolongo model was the most precise in estimating the maximum adsorption capacity (qm) because it considers the surface's heterogeneity and offers narrow confidence intervals. On the other hand, the Langmuir model chosen in the original publication had wide confidence intervals, which means that it was less precise. In addition, the study also stresses the need to use various error functions to improve the model selection and increase the validity of the models. In addition, for the first time, to the best of our knowldege, this study reported on the first use of Multiobjective Optimization by Ratio Analysis (MOORA) method for isothermal model selection and ranking in the adsorption field. This approach simplifies the selection process by systematically evaluating and ranking the numerous isotherm and kinetic models that are commonly used in adsorption research. Therefore, this study recommends using advanced and flexible isotherm models such as Brouers-Sotolongo for accurate adsorption modeling but also stresses the need for rigorous statistical validation in adsorption research. The results of this study can be used to enhance the accuracy of adsorption studies in wastewater treatment, environmental remediation, and material science applications.
Cardiac transplantation: A review of current status and emerging innovations
Authors: Sundararaju Umashri , Rachoori Srinivas , Mohammad Abdulkader , Rajakumar Hamrish Kumar
Published: February 2025

Heart transplantation (HTx) is a life-saving procedure for patients with end-stage heart failure and has undergone remarkable advancements since the first successful transplant in 1967. The introduction of cyclosporine in the 1970s significantly improved patient outcomes, leading to a global increase in transplants, including in India, where the practice has grown despite initial challenges. This review provides an extensive overview of HTx, focusing on current practices, technological advancements, and the ongoing challenges the field faces today. It explores the evolution of surgical techniques, such as minimally invasive and robotic-assisted procedures, and the management of posttransplant rejection through tailored immunosuppressive strategies, including new monoclonal antibodies and personalized therapies. The review also highlights emerging innovations such as mechanical circulatory support devices and xenotransplantation as potential solutions to donor shortages while acknowledging the ethical and logistical challenges these approaches entail. Furthermore, the analysis delves into the implications of using extended-criteria donors and the role of multidisciplinary teams in evaluating absolute and relative contraindications. Despite the progress made, the persistent issues of organ scarcity and ethical concerns underscore the need for ongoing research and innovation to further enhance the efficacy, safety, and accessibility of HTx.
Prevalence and risk of progression of pancreatic cystic lesions in immunosuppressed patients: A systematic review and meta-analysis
Authors: Kießler Maximilian , Friess Helmut , Assfalg Volker
Published: February 2025

BACKGROUND

Pancreatic cystic lesions are common in patients eligible for solid organ transplantation. It has been shown that the need for immunosuppression after organ transplantation increases the rate of malignancies in organ recipients. However, the impact of immunosuppression on pancreatic cystic lesions is yet unknown.

AIM

To evaluate the prevalence of pancreatic cystic lesions and the risk of cyst progression in immunosuppressed patients.

METHODS

A systematic literature search was performed in relevant databases. Studies reporting either on the prevalence and/or the incidence of pancreatic cyst progression compared to a control group were implemented in the first systematic review and meta-analysis on this topic.

RESULTS

The prevalence of pancreatic cystic lesions was comparable with 7% (95%CI: 5%-11%) in the immunosuppressed cohort and 9% (95%CI: 5%-16%) in the control cohort. The mean cyst size increase in the immunosuppression group was 3.2 mm (range 1.0-5.2mm) compared to 3.5 mm (1.0-6.9) in the control group (standardized mean difference 0.0 mm, 95%CI: -0.3-0.2 mm, P = 0.72). There was also no significant increase in the development of resection criteria or worrisome features under immunosuppression either [relative risk 1.1 (fixed effect model), 1.2 (random effects model), P = 0.61].

CONCLUSION

Immunosuppression does not increase the prevalence of pancreatic cystic lesions, nor does it increase the risk of cyst progression in terms of cyst size and development of resection criteria. Therefore, pancreatic cystic lesions in transplant candidates should not be a contraindication for solid organ transplantation.
Upper limit of normothermic machine preservation of liver grafts from donation after circulatory death yet to be defined
Authors: Archie William H , Baimas-George Maria , Haynes Nathanael , Kundu Souma , Peterson Katheryn , Wehrle Chase J , Huckleberry Damien , Eskind Lon , Levi David , Soto Jose R , Denny Roger , Casingal Vincent , Cochran Allyson , Rein Erin H , Vrochides Dionisios
Published: February 2025

BACKGROUND

The normothermic machine perfusion pump (NMPP) could shape the future of transplantation. Providing ex-vivo optimization, NMPP attenuates ischemic insult while replenishing energy. An understanding of machine perfusion time (MPT) impact and potential clinical benefits is paramount and necessitates exploration.

AIM

To investigate the relationship between MPT and post-transplant graft function.

METHODS

Retrospective review of the first 50 donation after circulatory death (DCD) grafts preserved using NMPP in a tertiary institution was performed. Essential preservation time points, graft parameters, recipient information, and postoperative outcomes were prospectively recorded. Early allograft dysfunction (EAD), L-Graft7 score and 90-day outcomes were collected for all grafts. The first 20 recipients were allocated into the early group, considered the learning curve population for the center. The subsequent 30 were allocated into the late group. Recipients were also stratified into cohorts depending on MPT, i.e. , short (< 8 hours), medium (8-16 hours) and long (> 16 hours).

RESULTS

NMPP operational parameters were not predictive of EAD, L-GrAFT7 or 90-day outcomes. The early group had significantly less MPT and cold ischemia time than the late group (553 minutes vs 850 minutes, P < 0.001) and (127.5 minutes vs 154 minutes, P = 0.025), respectively. MPT had no impact in either group.

CONCLUSION

Increased MPT of DCD liver grafts had no adverse recipient results for the times utilized in this population, indicating its upper limits, likely beyond 24 hours, are not demonstrated within this study. Future studies are necessary to determine whether longer MPT is beneficial or detrimental to graft function and, if the latter, what is the maximum safe duration. Further studies of the effect of normothermic machine perfusion pump duration on long-term outcomes are also needed.
Venous thromboembolism following lung transplantation
Authors: Sunder Thirugnanasambandan , Thangaraj Paul Ramesh , Kuppusamy Madhan Kumar
Published: February 2025

Lung transplantation (LT) is currently a surgical therapy option for end-stage lung disease. Venous thromboembolism (VTE), which can occur after LT, is associated with significant morbidity and mortality. Because of improved outcomes, increasing numbers of patients are receiving LT as treatment. Patients on the waitlist for LT tend to be older with weakness and frailty in addition to pulmonary symptoms. These factors contribute to a heightened risk of postoperative VTE. Furthermore, patients who clinically deteriorate while on the waitlist may require extra corporeal membrane oxygenation as a bridge to LT. Bleeding and thromboembolism are common in these patients. Pulmonary embolism (PE) in a freshly transplanted lung can have significant effects leading to morbidity and mortality. PE typically leads to impairment of gas exchange and right ventricular strain. In LT, PE can affect healing of bronchial anastomosis and may even contribute to the development of chronic allograft lung dysfunction. This article discussed the incidence, clinical features and diagnosis of VTE after LT. Furthermore, the treatment modalities, complications, and outcomes of VTE were reviewed.
Urinary tract infections in kidney transplant patients admitted to hospital: A real-life experience
Authors: Pinchera Biagio , Carrano Rosa , Schettino Elisa , D'Agostino Alessia , Trucillo Emilia , Cuccurullo Federica , Salemi Fabrizio , Piccione Amerigo , Gentile Ivan
Published: February 2025

BACKGROUND

Urinary tract infections (UTIs) in kidney transplant patients are a challenge.

AIM

To evaluate epidemiology, clinical status, therapeutic management, and clinical outcome of kidney transplant patients in a university hospital for UTI.

METHODS

We conducted a retrospective observational study, enrolling all kidney transplant patients hospitalized for UTI, with the objective to evaluate the epidemiology, clinical status, therapeutic management, and clinical outcome of kidney transplant patients.

RESULTS

From our real-life experience, infection with multidrug-resistant germs was confirmed as a risk factor for the severe evolution of the infection. At the same time, the re-evaluation of immunosuppressive therapy could be an important therapeutic strategy in the course of infection.

CONCLUSION

Prompt initiation of empiric antibiotic therapy upon initiation of microbiological investigations may reduce the risk of severe infection progression.
PLANEJAMENTO E GESTÃO DEMOCRÁTICA: a criação e atuação de Conselhos Municipais de Educação em Mato Grosso do Sul
Authors: Caldas Haiduck Carmen Lígia , Cestari de Oliveira Regina Tereza
Published: February 2025

Neste artigo, analisa-se a influência do Plano de Ações Articuladas (PAR), um instrumento de planejamento estratégico decorrente do Plano de Metas Compromisso Todos Pela Educação, instituído pelo governo federal por meio do Decreto n. 6.094/2007, na criação de Conselhos Municipais de Educação (CME) no período de 2007 a 2014, especificamente em dois municípios sul-mato-grossenses: Três Lagoas e Sidrolândia. Analisa também a composição e atuação dos Conselhos. Os procedimentos metodológicos utilizados compreenderam pesquisa bibliográfica, pesquisa documental, por meio de fontes provenientes do governo federal e dos governos locais; e entrevistas de caráter semiestruturado com representantes do CME dos municípios analisados. A análise mostra que nos municípios pesquisados a criação de CME ocorreu via ação do PAR. A gestão democrática por meio da ação dos Conselhos Municipais de Educação é um processo em construção.
Parcerias Público-Privadas brasileiras: uma história de concessões
Authors: Nassif Thaís
Published: February 2025

Este artigo examina a evolução e as transformações históricas dos instrumentos jurídicos voltados à terceirização de obras e serviços públicos conhecidos como concessões, no Brasil, desde o século XIX até os dias atuais. O estudo destaca, em particular, as condições oferecidas historicamente pelo Estado aos capitais investidos nesses contratos, que se expressam na extensão de garantias e na redução de riscos financeiros, como o fator constitutivo de um mercado brasileiro de concessões. Do contexto contemporâneo, o artigo analisa como o direito administrativo brasileiro tem sido flexionado nas últimas décadas para favorecer a criação e expansão desse mercado, em consonância com as tendências globais do campo associadas ao processo de neoliberalização. Além disso, o estudo se aprofunda na forma de operação das concessões vigentes no país, observando o fenômeno crescente de sua difusão entre as chamadas Parcerias Público-Privadas, e avalia os impactos financeiros, fiscais e políticos dessas concessões na produção de infraestruturas e na provisão de serviços públicos no país.