Clear Boundaries Research Articles

Effects of transition metal ions migration at the cathode|electrolyte interface on the performance of thin-film Lithium-ion batteries with NCM cathodes

The advent of all-solid-state thin-film lithium-ion batteries (LIBs) has revolutionized the powering of microsystems due to their miniaturization ease and seamless integration capabilities. Despite the pressing demand for LIBs with higher energy density and enhanced safety, the performance of these devices has been consistently hindered by the complex interfacial dynamics at the cathode|electrolyte boundary. This study delves into the nuanced characterization of transition metal (TM) ions at the cathode|electrolyte interface, utilizing LiNi0.5Co0.2Mn0.3O2 (NCM523) thin films as the cathode material for LIBs. We meticulously explored the profound impact of NCM523|LiPON interfacial properties on the LIBs' overall performance, uncovering that the migration of TM ions and the emergence of TM–O spinel phases, induced by targeted annealing treatments of the cathodes, play pivotal roles in dictating the battery's capacity density and cycling stability. Heat treatments at 600 and 800 °C led to the formation of inhomogeneous spinel-phase nanolayers on the surfaces of NCM523 thin films, which hindered Li+ transport and affected the LIBs. In stark contrast, the 700 °C treatment yielded a pristine layered structure with clear boundary against LiPON, culminating in a battery with outstanding capacity density and remarkable cycle stability. Our theoretical calculations have unraveled that the temperature-dependent migration of TM ions is intricately linked to the varying strengths of TM–O bonds and the associated Jahn-Teller effects, providing a novel perspective on the design of high-performance LIBs.

Analysis on the ultrasonic characteristics of tonsillar lymphoma

Objective: To analyze the ultrasonic features of tonsillar lymphoma to improve the diagnostic accuracy. Methods: The clinical, pathological and ultrasonic data of nine patients with tonsillar lymphoma confirmed by pathology at Tianjin Medical University Cancer Institute and Hospital during June 2015 and June 2022 were analyzed retrospectively, and the characteristics of their ultrasonic images were summarized. Results: All 9 cases of tonsil lymphoma were unilateral tonsil disease, including 4 cases on the left side and 5 cases on the right side. The average maximum diameter of tonsil lymphoma in 9 cases was 4.32 cm. There were 3 cases with simultaneous involvement of tonsil and cervical lymph nodes, all of which were ipsilateral lymph nodes. Gray scale ultrasound showed that the lesions were hypoechoic, with clear boundaries in 7 cases and unclear boundaries in 2 cases. The shape was full and irregular in 5 cases and oval in 4 cases. The echo was uniform in 7 cases and uneven in 2 cases. Color Doppler ultrasonography showed abundant internal blood flow signal in 1 case, a little dotted linear internal blood flow signal in 5 cases, and no obvious internal blood flow signal in 3 cases. Conclusions: The ultrasonic features of tonsillar lymphoma include hypoechoic area, clear boundary, full shape, irregular and uniform internal echo, no or low linear signal of internal blood flow. Ultrasonography is of great value in the diagnosis of this disease and can help clinical decision-making.

Single-cell analysis of a progressive Rosai–Dorfman disease affecting the cerebral parenchyma: a case report

Neurologic Rosai–Dorfman disease (RDD) is a rare type of non-Langerhans cell histiocytosis that affects the central nervous system. Most neurologic RDDs grow like meningiomas, have clear boundaries, and can be completely resected. However, a few RDDs are invasive and aggressive, and no effective treatment options are available because the molecular mechanisms involved remain unknown. Here, we report a case of deadly and glucocorticoid-resistant neurologic RDD and explore its possible pathogenic mechanisms via single-cell RNA sequencing. First, we identified two distinct but evolutionarily related histiocyte subpopulations (the C1Q+ and SPP1+ histiocytes) that accumulated in the biopsy sample. The expression of genes in the KRAS signaling pathway was upregulated, indicating gain-of-function of KRAS mutations. The C1Q+ and SPP1+ histiocytes were highly differentiated and arrested in the G1 phase, excluding the idea that RDD is a lympho-histio-proliferative disorder. Second, although C1Q+ histiocytes were the primary RDD cell type, SPP1+ histiocytes highly expressed several severe inflammation-related and invasive factors, such as WNT5A, IL-6, and MMP12, suggesting that SPP1+ histiocytes plays a central role in driving the progression of this disease. Third, oligodendrocytes were found to be the prominent cell type that initiates RDD via MIF and may resist glucocorticoid treatment via the MDK and PTN signaling pathways. In summary, in this case, we report a rare presentation of neurologic RDD and provided new insight into the pathogenic mechanisms of progressive neurologic RDD. This study will also offer evidence for developing precision therapies targeting this complex disease.

Application of ultrasonic diagnostics in the study of urogenital organs of birds

Ultrasound examination is one of the most accessible and having a high probability of competence of research of diagnostics of diseases of internal organs, which are carried out mainly in small pets. The aim of the study is to obtain information about parenchymatous organs in birds in norm and in case of pathologic changes for making or confirming clinical diagnosis. Material and methods. Ultrasound diagnostics of avian oviduct was carried out on ultrasonic diagnostic scanner ETS-D-05 "Raskan", ~ 220V, 50 Hz, 100 VA, class 1. The transducer is microconvex 7.5 MHz. Results. At ultrasound examination of the kidneys in the chicken, it was noted that the kidneys had smooth, clear boundaries. The echostructure of cortical and brain layers in the median plane is heterogeneous, echogenicity of parenchyma corresponds to the norm. The capsule is not visualized. The presence of lighter and darker areas in the parenchyma is clearly visible, which is associated with filtration of mineral substances contained in the blood. Ultrasound examination of the genitalia in the chicken was carried out in several stages. At the first stage, the presence of a mature follicle was noted. Localized volumetric formations of rounded shape - follicles at different stages of development were revealed. They have homogeneous echogenicity and echostructure of hyperechogenic character, giving a weak acoustic shadow. In the second stage of the study we noted the presence of yolk covered with vitelline shell, which is located in the central part of the albumen section of the oviduct, has a high density and good echogenicity. In the third stage, the yolk is located in the caudal part of the albumen section. At its periphery, the albumen with several layers is located. Protein section is displaced somewhat to the left, has strongly tortuous loops. The wall of the albumen is well structured, the expression of layers is weakly marked. In the cavity of the oviduct, the content of the oviduct is homogeneous with a small amount of content of liquid consistency. At the fourth stage of the study in the uterus of the oviduct, an anechogenic formation - an egg - is visualized on the echogram. In its center, a hypoechogenic structure with indistinct contours - yolk is detected. The contours of the egg are smooth, borders are indistinct. The egg completely fills the uterine cavity, the lumen between the egg and the uterine wall is absent, the uterine wall contours are clear and even with homogeneous echogenic structure, no nodular formations are detected, uterine vessels are not dilated.

Defining plastic pollution hotspots

Plastic pollution in the natural environment poses a growing threat to ecosystems and human health, prompting urgent needs for monitoring, prevention and clean-up measures, and new policies. To effectively prioritize resource allocation and mitigation strategies, it is key to identify and define plastic hotspots. UNEP's draft global agreement on plastic pollution mandates prioritizing hotspots, suggesting a potential need for a defined term. Yet, the delineation of hotspots varies considerably across plastic pollution studies, and a definition is often lacking or inconsistent without a clear purpose and boundaries of the term. In this paper, we applied four common definitions of hotspot locations to plastic pollution datasets ranging from urban areas to a global scale. Our findings reveal that these hotspot definitions encompass between 0.8 % to 93.3 % of the total plastic pollution, covering <0.1 % to 50.3 % of the total locations. Given this wide range of results and the possibility of temporal inconsistency in hotspots, we emphasize the need for fit-for-purpose criteria and a unified approach to defining plastic hotspots. Therefore, we designed a step-wise framework to define hotspots by determining the purpose, units, spatial scale, temporal scale, and threshold values. Incorporating these steps in research and policymaking yields a harmonized definition of hotspots, facilitating the development of effective plastic pollution prevention and reduction measures.

DP-DDCL: A discriminative prototype with dual decoupled contrast learning method for few-shot object detection

Few-shot object detection (FSOD) can effectively improve object detection performance with limited training data, attracting increasing interest from researchers. Due to the limited sample size, there is often a large variance in the learned features, resulting in deviating from the class center and being confused with other classes. People are often able to accurately identify few-shot objects based on discriminative information. Motivated by it, we propose a discriminative prototype with dual decoupled contrast learning (DP-DDCL) method to address the issue of limited training data in FSOD. By introducing domain knowledge comprising the CLIP and attribute knowledge graph to obtain explicit and implicit semantic and visual information, we construct a novel discriminative prototype that enhances the representation of different classes (especially few-shot samples). Simultaneously, dual decoupled contrast learning consists of the decoupled of positive and negative samples, and the decoupled of discriminative prototype and instance contrast learning is proposed. It makes samples of the same class cluster around their respective class prototype while maintaining a clear semantic boundary between different classes. Extensive experiments demonstrate the efficacy of our method, surpassing the current state-of-the-art in any-shot and all-data splits, with maximum performance gains of up to +9.15% on the standard PASCAL VOC benchmark and +2.5% on the challenging COCO benchmark.

Radial Variation and Early Prediction of Wood Properties in Pinus elliottii Engelm. Plantation

To explore the radial variation in wood properties of slash pine (Pinus elliottii Engelm.) during its growth process and to achieve the early prediction of these properties, our study was carried out in three slash pine harvest-age plantations in Ganzhou, Jian, and Jingdezhen, Jiangxi province of South China. Wood core samples were collected from 360 sample trees from the three plantations. SilviScan technology was utilized to acquire wood property parameters, such as tangential fiber widths (TFWs), radial fiber widths (RFWs), fiber wall thickness (FWT), fiber coarseness (FC), microfibril angle (MFA), modulus of elasticity (MOE), wood density (WD) and ring width (RD). Subsequent systematic analysis focused on the phenotypic and radial variation patterns of wood properties, aiming to establish a clear boundary between juvenile and mature wood. Based on determining the boundary between juvenile and mature wood, a regression equation was used to establish the relationship between the properties of juvenile wood and the ring ages. This relationship was then extended to the mature wood section to predict the properties of mature wood. Our results indicated significant differences in wood properties across different locations. The coefficients of variation for RD and MOE were higher than other properties, suggesting a significant potential for selective breeding. Distinct radial variation patterns in wood properties from the pith to the bark were observed. The boundary between juvenile and mature wood was reached at the age of 22. The prediction models developed for each wood property showed high accuracy, with determination coefficients exceeding 0.87. Additionally, the relative and standard errors between the measured and predicted values were kept below 10.15%, indicating robust predictability. Mature wood exhibited greater strength compared to juvenile wood. The approach of using juvenile wood properties to predict those of mature wood is validated. This method provides a feasible avenue for the early prediction of wood properties in slash pine.

Prognostic value and drug sensitivity of F‑box and leucine‑rich repeat protein 6 in glioma.

Gliomas are highly malignant and invasive tumors lacking clear boundaries. Previous bioinformatics and experimental analyses have indicated that F-box and leucine-rich repeat protein 6 (FBXL6), a protein crucial for the cell cycle and tumorigenesis, is highly expressed in certain types of tumors. The high expression level of FBXL6 is reported to promote tumor growth and adversely affect patient survival. However, the molecular mechanism, prognostic value and drug sensitivity of FBXL6 in glioma remain unclear. To address this, the present study analyzed FBXL6 expression in gliomas, utilizing data from The Cancer Genome Atlas and Chinese Glioma Genome Atlas databases. Analysis of FBXL6 mRNA expression levels, combined with patient factors such as age, sex and tumor grade using Kaplan-Meier plots and nomograms, demonstrated a strong correlation between FBXL6 expression and glioma progression. Co-expression networks provided further insights into the biological function of FBXL6. Additionally, using CIBERSORT and TISDB tools, the correlation between FBXL6 expression correlation tumor-infiltrating immune cells and immune genes was demonstrated to be statistically significant. These findings were validated by examining FBXL6 mRNA and protein levels in glioma tissues using various techniques, including western blot, reverse transcription-quantitative PCR and immunohistochemistry. These assays demonstrated the role of FBXL6 in glioma progression. Furthermore, drug sensitivity analysis demonstrated a strong correlation between FBXL6 expression and various drugs, which indicated that FBXL6 may potentially act as a future promising therapeutic target in glioma treatment. Therefore, the present study identified FBXL6 as a diagnostic and prognostic marker in patients with gliomas and highlighted its potential role in glioma progression.

Сoncept of the draft normative-legal act аs a law-making phenomenon

In the article, the author focuses on the relevance of the conceptual and categorical analysis of any phenomena and processes of legal reality, especially the phenomenon of the concept, which is today the basis of improving the functioning of jurisprudence. It was noted that due to constant changes in the socio-economic situation, technological progress, as well as foreign policy factors, it is important to adapt the legislation to new realities. Understanding and studying various concepts of the development of legislation, as well as their impact on legal practice, allows you to effectively analyze and improve the country's legal system. This approach helps to ensure legal stability, protection of citizens' rights, and increased confidence in the legal system in general. First of all, in cognitive terms, it is important to conduct an analysis of the studied phenomenon of the concept through the prism of its conceptual-categorical dimension, which will allow to generalize its properties and improve the definition. The indicated vector of scientific knowledge will first of all strengthen the methodological basis for further research of concepts as a law-making phenomenon, define clear boundaries of the subject of scientific knowledge, establish cognitive regularities of concepts, putting them in the basis of a corresponding unified doctrinal understanding of them. In the content of the work, an analysis of the concept as a special law-making phenomenon, determination of approaches to its understanding that have developed in legal science, clarification of the features of the concept of the project of a normative-legal act, and improvement of the definition of the concept as a component of the conceptual and categorical apparatus of legal science are carried out. It was concluded that in the process of preparing a draft of a comprehensive normative legal act, one cannot do without a preliminary conclusion of its concept. In addition, the concept of writing a normative legal act can be brought up for discussion. In this way, it is proved that the concept of a normative legal act is an important stage and component of the normative design process, because the development of the correct concept allows to further formulate the provisions of the text of the normative act more clearly.

Unsupervised Domain Adaptation Depth Estimation Based on Self-attention Mechanism and Edge Consistency Constraints

In the unsupervised domain adaptation (UDA) (Akada et al. Self-supervised learning of domain invariant features for depth estimation, in: 2022 IEEE/CVF winter conference on applications of computer vision (WACV), pp 3377–3387 (2022). 10.1109/WACV51458.2022.00107) depth estimation task, a new adaptive approach is to use the bidirectional transformation network to transfer the style between the target and source domain inputs, and then train the depth estimation network in their respective domains. However, the domain adaptation process and the style transfer may result in defects and biases, often leading to depth holes and instance edge depth missing in the target domain’s depth output. To address these issues, We propose a training network that has been improved in terms of model structure and supervision constraints. First, we introduce a edge-guided self-attention mechanism in the task network of each domain to enhance the network’s attention to high-frequency edge features, maintain clear boundaries and fill in missing areas of depth. Furthermore, we utilize an edge detection algorithm to extract edge features from the input of the target domain. Then we establish edge consistency constraints between inter-domain entities in order to narrow the gap between domains and make domain-to-domain transfers easier. Our experimental demonstrate that our proposed method effectively solve the aforementioned problem, resulting in a higher quality depth map and outperforming existing state-of-the-art methods.

Moving from the Environment of Death to the Environment of the Living

The daily reminders of life’s fragility can lead to moral, emotional, and psychological distress. Establishing clear boundaries between work and non-work environments is a suggested approach to mitigate these adverse effects. Drawing on van Gennep’s work on rites of passage, this paper explores the rituals and strategies employed by professionals dedicated to the dying/deceased to transition between their work and home environments. Through a qualitative interpretive phenomenological analysis of 23 in-depth semi-structured interviews with Israeli hospice social workers and undertakers, two main strategies emerged as “rites of passage”: Physical Purification and Escapism. However, participants noted that these rituals were not always foolproof, with instances of “leakage” where elements from the realm of death and dying carried over into their personal lives. The study suggests that engaging in idiosyncratic rituals plays a crucial role in facilitating the reintegration of professionals involved in the care of the dead and dying, offering a means of expressing and containing challenging emotions and providing structure during the transitional phase.

An Indocyanine Green-Based Nanocluster for Imaging Orthodox Endometriosis Lesions with Negative Contrast.

Indocyanine green (ICG), as the sole near-infrared dye FDA-approved, is limited in biomedical applications because of its poor photostability, lack of targeting, and rapid removal in vivo. Herein, we presented a nanoformulation of poly-l-lysine-indocyanine green-hyaluronic acid (PIH) and demonstrated that it can image orthodox endometriosis (EM) lesions with a negative contrast. The PIH nanocluster, with an average diameter of approximately 200 nm, exhibited improved fluorescence photostability and antioxidant ability compared to free ICG. In the in vivo imaging, EM lesions were visualized, featuring apparent voids and clear boundaries. After colocalizing with the green fluorescent protein, we concluded that the contrast provided by PIH peaked at 4 h postinjection and was observable for at least 8 h. The negative contrast, clear boundaries, and enhanced observable time might be due to the low permeation of PIH to lesions and the enhanced retention on the surfaces of lesions. Thus, our findings suggest an ICG-based nanoprobe with the potential to diagnose abdominal diseases.

Study of Celie's Portrayal in "The Color Purple" Under the Theory of Androgyny

The classic novel The Color Purple by black American author Alice Walker outlines the journey of Celie, a black woman in the Southern part of America in the early 20th century, as she grows up under the triple oppression of race, gender and class. Celie is abused by her stepfather and then forced to marry Mr. ____, a widower who already has four children, and lives in daily slave-like worry. However, with the help of other women, Celie gradually awakens from her numb and closed state, thinks about her gender and identity, and finally grows up to be an independent woman with individuality, dignity, and self-confidence. Therefore, based on the theory of androgyny, this paper analyzes in depth the development process of Celie's gender consciousness, revealing that her gender consciousness goes from clear boundaries to blurring, and finally achieves integration through self-awakening. In the novel, Celie experiences the questioning and redefinition of her own gender awareness, from the initial limitation of social expectations to the gradual escape from the traditional gender boundaries, and finally realizes the comprehensive awareness of gender. Through an in-depth analysis of the image of Celie and the evolution of her gender cognition in The Color Purple, the author hopes to better help readers understand the plurality of individual gender cognition, and to provide useful literary references for the promotion of gender harmony.

Establishing Boundaries to Combat Tax Crimes in Indonesia

Enforcing criminal tax law in Indonesia presents a critical yet challenging task, because of the intricate interplay between tax and criminal law interests. The Indonesian Government has introduced leniency in tax criminal law enforcement, guided by the ultimum remedium principle, where criminal sanctions are considered as a last resort. Under this policy, tax offenders can absolve themselves from legal liability. However, such leniency throughout the enforcement process can lead to perceptions of injustice within society. This research uses descriptive, evaluative, and normative juridical methods to examine Indonesia’s approach to enforcing criminal tax laws within the framework of tax and legal interests. Our findings reveal that the current policies heavily favor taxpayer interests by providing numerous concessions to offenders. This trend is concerning, as it may result in a surge of tax crime cases. Conversely, adopting the primum remedium principle, where criminal sanctions are the initial response, poses the risk of harsh legal consequences. In light of these challenges, we propose a balanced approach incorporating elements of both ultimum and primum remedium principles to establish clear boundaries and provisions within criminal tax law enforcement policies. By doing so, we aim to accommodate tax interests while upholding legal interests.

Facial nerve protection in surgery for rare tumors of the internal auditory canal

Objective:To explore strategies for preserving facial nerve function during surgeries for rare tumors of the internal auditory canal. Methods:A total of 235 cases of internal auditory canal tumors treated between 2010 and 2023 were included, encompassing vestibular schwannomas, cavernous hemangiomas, meningiomas, and other rare tumors. Various data, including clinical presentations, imaging classifications, and treatment processes, were meticulously analyzed to delineate the characteristics of rare tumors and assess pre-and postoperative facial nerve function. Results:Among all internal auditory canal tumors, vestibular schwannomas accounted for 91.9%. In rare tumors, facial nerve schwannomas constituted 5.3%, cavernous hemangiomas 26.3%, meningiomas 15.8%, and arterial aneurysms 10.5%. Significantly, patients with cavernous hemangiomas displayed pronounced invasion of the facial nerve by the tumor, in contrast to other tumor types where clear boundaries with the facial nerve were maintained. During surgery, individualized approaches and strategies for facial nerve protection were implemented for different tumor types, involving intraoperative dissection, tumor excision, and facial nerve reconstruction. Conclusion:Preservation of the facial nerve is crucial in the surgical management of rare tumors of the internal auditory canal. Accurate preoperative diagnosis, appropriate timing of surgery, selective surgical approaches, and meticulous intraoperative techniques can maximize the protection of facial nerve function. Personalized treatment plans and strategies for facial nerve functional reconstruction are anticipated to enhance surgical success rates, reduce the risk of postoperative facial nerve dysfunction, and ultimately improve the quality of life for patients.

A Section Location Method of Single-Phase Short-Circuit Faults for Distribution Networks Containing Distributed Generators Based on Fusion Fault Confidence of Short-Circuit Current Vectors

A Section Location Method of Single-Phase Short-Circuit Faults for Distribution Networks Containing Distributed Generators Based on Fusion Fault Confidence of Short-Circuit Current Vectors

Multiscale design based on non-penalization smooth-edged material distribution for optimizing topology (SEMDOT)

This paper presents a concurrent topology optimization method for macro and micro phases based on non-penalization smooth-edged material distribution for optimization topology (SEMDOT) method. Although there is existing research on the multiscale design method, grayscale elements are always emerged especially for penalization method for example the solid isotropic material penalization (SIMP) method, also high computational cost are required when large scale of elements are utilized for obtaining high resolution structures. The methodology proposed here aims to apply a new tech called non-penalization SEMDOT method to find the optimum layout on both scales of elements, it is assumed that the macro structure is composed of periodic materials and both element scales are optimized through their linearly interpolated grid points. The effective macroscopic properties are evaluated by the homogenization method. The approach could provide smooth and clear boundaries for multiscale system without grayscale elements or high computational cost. A series of numerical examples are presented to demonstrate the effectiveness and the efficiency of the proposed method.

Effect mechanism of manganese on hydrogen-based reduction behavior of magnetite pellet

In the ironmaking industry, using hydrogen energy as a reducing agent or fuel instead of fossil energy has emerged as the primary development direction in future. This study investigates the action mechanism of Mn3O4 in manganese-bearing magnetite pellets during hydrogen-based shaft furnace direct reduction (HSFDR). The findings indicated that with the increase of Mn3O4 addition, the content of MnxFe1-xO and Mn-rich silicate phases in the reduced pellets gradually increased, while the metallization rate of pellets decreased. With the augmentation of Mn-rich silicate phases, numerous metallic iron particles were wrapped by them, which resulted in the loss of clear boundaries between the metallic iron particles and the silicate phases. Concurrently, the MnxFe1-xO inhibited the growth of metallic iron whiskers, altered their growth structure, and reduced the reduction swelling index (RSI) of pellets. This study provides theoretical and practical insights into the hydrogen-based shaft furnace reduction of manganese-containing magnetite pellets.

Analysis on the Behavior Characteristics and Application of the Crime of Network Insult and Libel

Under the background of the large-scale popularization of network technology, the crime of network insult and libel has become a new form of the traditional crime of insult and libel in the network environment. The number of related cases has increased year by year, encroaching on the network security environment and affecting the social order. However, the two problems exist in the identification of disputes and the application of charges. In order to maintain social governance, it is necessary to provide clear boundaries for identification and to provide applicable charges to avoid cases where convictions are not possible or unclear. This paper mainly analyzes and studies the cases of online insults and defamation published in recent years by means of desktop research. This paper analyzes the behavior characteristics and regulation status of the crime of network insult and libel, and puts forward countermeasures and applicable charges, and distinguishes the applicable situations of the above different charges. It is clear that crimes in the network era should continue to follow up the legal construction, deepen the awareness of legal research, and at the same time, enhance the legal awareness of citizens to build a better society.

AFMUNet: Attention Feature Fusion Network Based on a U-Shaped Structure for Cloud and Cloud Shadow Detection

Cloud detection technology is crucial in remote sensing image processing. While cloud detection is a mature research field, challenges persist in detecting clouds on reflective surfaces like ice, snow, and sand. Particularly, the detection of cloud shadows remains a significant area of concern within cloud detection technology. To address the above problems, a convolutional self-attention mechanism feature fusion network model based on a U-shaped structure is proposed. The model employs an encoder–decoder structure based on UNet. The encoder performs down-sampling to extract deep features, while the decoder uses up-sampling to reconstruct the feature map. To capture the key features of the image, Channel Spatial Attention Module (CSAM) is introduced in this work. This module incorporates an attention mechanism for adaptive field-of-view adjustments. In the up-sampling process, different channels are selected to obtain rich information. Contextual information is integrated to improve the extraction of edge details. Feature fusion at the same layer between up-sampling and down-sampling is carried out. The Feature Fusion Module (FFM) facilitates the positional distribution of the image on a pixel-by-pixel basis. A clear boundary is distinguished using an innovative loss function. Finally, the experimental results on the dataset GF1_WHU show that the segmentation results of this method are better than the existing methods. Hence, our model is of great significance for practical cloud shadow segmentation.