Miracle-dz/UniFAR-FTUs huggingface dataset:
Complete Response To Tislelizumab In A Muscle-Invasive Urothelial Carcinoma After Surgery Associated With Tumor Mutational Burden High: A Case Report

Muscle-invasive urothelial carcinoma (MIUC) is a highly aggressive urothelial carcinoma. Radical cystectomy (RC) is standard of treatment, but still more than 50% patients with cancer invading the muscularis propria or involving the regional lymph nodes will have metastatic recurrence. In CheckMate274 study, programmed cell death-1 (PD-1) inhibitor nivolumab as adjuvant treatment has shown effective for patients with MIUC. Tislelizumab is an anti-human PD-1 monoclonal IgG4 antibody which was specifically engineered to minimize FcɣR macrophage binding to abrogate antibody-dependent phagocytosis. But there is no report of tislelizumab as adjuvant treatment in MIUC currently. Here, we report a case of MIUC in a patient with PD-L1-negative, microsatellite stable (MSS), high tumor mutational burden (TMB-H) obtained complete response (CR) receiving tislelizumab therapy after surgery. Progression-free survival (PFS) exceeded 6 months since tislelizumab treatment. To our knowledge, this is the first reported case of MIUC patient with PD-L1-negative, MSS and TMB-H who responded well to tislelizumab as adjuvant treatment. However, we still need more studies to assess the efficacy of tislelizumab as adjuvant treatment in MIUC and to confirm that TMB is a predicted biomarker of tislelizumab for efficacy.
Costos de plantación y siembra directa de Prosopis flexuosa var. depressa (Fabaceae) para restauración ecológica

Antecedentes y Objetivos: La capacidad para llevar a cabo una restauración ecológica en forma práctica requiere que sea considerada tanto la probabilidad de éxito en términos ecológicos como los costos económicos. Como aporte al estudio que integra dichos aspectos, los objetivos de este trabajo fueron: (i) estimar los costos directos de la siembra de semillas y la plantación de ejemplares de vivero de P. flexuosa var. depressa, una especie considerada “marco” o “fundante” de la restauración en zonas áridas del territorio biogeográfico del Monte de Argentina, (ii) evaluar la incidencia de los porcentajes de germinación y/o establecimiento de plántulas en los resultados, y (iii) comparar dos escenarios económicos, uno rural y otro petrolero. Métodos: Los cálculos se efectuaron a partir de costos directos. Para determinar la incidencia en el porcentaje de establecimiento, se realizó una reducción a valores unitarios (una semilla o planta). Se apropiaron costos para cada insumo y/o actividad de siembra de semillas o plantación a estas unidades, considerando la mortalidad. Para obtener el costo total, se redujo a valor unitario (una semilla o plántula) la incidencia de cada actividad o insumo, y se multiplicó por la cantidad de ejemplares esperados por hectárea. Resultados clave: Si bien el establecimiento en campo de plántulas de vivero de P. flexuosa var. depressa es muy superior al porcentaje de sobrevivencia a partir de siembras de semillas (91% vs. 11%), la siembra resultó en una reducción de costos de 40% en relación con la plantación. La diferencia muy notable de salarios de empresas privadas del sector hidrocarburífero vs. empleados rurales, genera un incremento de cuatro veces el valor directo en dólares en el escenario petrolero. Conclusiones: Se concluye que la siembra directa debe recibir prioridad en investigación científica y asistencia técnico-económica para productores rurales.
Designing Disease-Specific mHealth Apps for Clinical Value

mHealth apps for patient use are promising but continue to face a plateau in usage. Current apps work for a limited segment of the patient population, i.e., those who enjoy tracking for intrinsic rewards. There are many opportunities to support patient care in between health care provider visits that are not currently being met for many diseases and patient types (personas). This is an area of great potential growth for mHealth apps and could contribute greatly to patient health and wellness. In this chapter, we propose a framework for how to think about the between-visit needs of patients that would motivate continued use of mhealth apps. We view the app design process from the following perspectives: 1) disease-specific needs, 2) non-disease specific needs, 3) behavioral theoretical aspects of app usage and 4) app-intrinsic usage motivators. Myasthenia gravis serves as the use case for illustrating these perspectives and how to use them in designing a disease-specific mHealth app.
Foot-and-Mouth Disease Virus 3A Hijacks Sar1 and Sec12 for ER Remodeling in a COPII-Independent Manner

Positive-stranded RNA viruses modify host organelles to form replication organelles (ROs) for their own replication. The enteroviral 3A protein has been demonstrated to be highly associated with the COPI pathway, in which factors operate on the ER-to-Golgi intermediate and the Golgi. However, Sar1, a COPII factor exerting coordinated action at endoplasmic reticulum (ER) exit sites rather than COPI factors, is required for the replication of foot-and-mouth disease virus (FMDV). Therefore, further understanding regarding FMDV 3A could be key to explaining the differences and to understanding FMDV’s RO formation. In this study, FMDV 3A was confirmed as a peripheral membrane protein capable of modifying the ER into vesicle-like structures, which were neither COPII vesicles nor autophagosomes. When the C-terminus of 3A was truncated, it was located at the ER without vesicular modification. This change was revealed using mGFP and APEX2 fusion constructs, and observed by fluorescence microscopy and electron tomography, respectively. For the other 3A truncation, the minimal region for modification was aa 42–92. Furthermore, we found that the remodeling was related to two COPII factors, Sar1 and Sec12; both interacted with 3A, but their binding domains on 3A were different. Finally, we hypothesized that the N-terminus of 3A would interact with Sar1, as its C-terminus simultaneously interacted with Sec12, which could possibly enhance Sar1 activation. On the ER membrane, active Sar1 interacted with regions of aa 42–59 and aa 76–92 from 3A for vesicle formation. This mechanism was distinct from the traditional COPII pathway and could be critical for FMDV RO formation.
Cellular and Molecular Targets for Non-Invasive, Non-Pharmacological Therapeutic/Rehabilitative Interventions in Acute Ischemic Stroke

BACKGROUND: Cerebral circulation delivers the blood flow to the brain through a dedicated network of sanguine vessels. A healthy human brain can regulate cerebral blood flow (CBF) according to any physiological or pathological challenges. The brain is protected by its self-regulatory mechanisms, which are dependent on neuronal and support cellular populations, including endothelial ones, as well as metabolic, and even myogenic factors. OBJECTIVES: Accumulating data suggest that “non-pharmacological” approaches might provide new opportunities for stroke therapy, such as electro-/acupuncture, hyperbaric oxygen therapy, hypothermia/cooling, photobiomodulation, therapeutic gases, transcranial direct current stimulations, or transcranial magnetic stimulations. We reviewed the recent data on the mechanisms and clinical implications of these non-pharmaceutical treatments. METHODS: To present the state-of-the-art for currently available non-invasive, non-pharmacological-related interventions in acute ischemic stroke, we accomplished this synthetic and systematic literature review based on the Preferred Reporting Items for Systematic Principles Reviews and Meta-Analyses (PRISMA). RESULTS: The initial number of obtained articles was 313. After fulfilling the five steps in the filtering/selection methodology, 54 fully eligible papers were selected for synthetic review. We enhanced our documentation with other bibliographic resources connected to our subject, identified in the literature within a non-standardized search, to fill the knowledge gaps. Fifteen clinical trials were also identified. DISCUSSION: Non-invasive, non-pharmacological therapeutic/rehabilitative interventions for acute ischemic stroke are mainly holistic therapies. Therefore, most of them are not yet routinely used in clinical practice, despite some possible beneficial effects, which have yet to be supplementarily proven in more related studies. Moreover, few of the identified clinical trials are already completed and most do not have final results. CONCLUSIONS: This review synthesizes the current findings on acute ischemic stroke therapeutic/rehabilitative interventions, described as non-invasive and non-pharmacological.
Application of the Adaptive Kalman Filter in Metro Monitoring Data Processing

Using the classical Kalman filter and the adaptive Kalman filter,the dynamic data processing models w ere built,respectively. The subw ay deformation monitoring data w ere processed and compared w ith the manual measured values. It is found that using the classical Kalman filter to process data,the accuracy is increased by 38%,how ever,using the adaptive Kalman filter,the accuracy is increased by 55%. Results show that using the adaptive filter to eliminate noise is more efficient than using classical Kalman filter and the data change smoothly,w hich are in good agreement w ith the measured values. It indicates that using the adaptive Kalman filter is more effective than using the classical Kalman filter for monitoring data in Shenyang subw ay.
Analyzing the Impact of the Social Capital on the Performance of Rural Municipalities (Case Study: Sonqor and Kolyai County)

PurposeRural municipality, as an organization for sustainable rural development, is supposed to be a public entity for rural administration supervised by villagers through the Islamic Council. Capital inputs are vital for achieving the best performance of rural municipalities in order to realize the development in rural areas. The main purpose of this article was to investigate the effect of social capital on the performance of rural people. Design/methodology/approachThe study area of this research is located in the villages of Sonqor and Kolyai Counties in Kermanshah Province. The statistical population of this study is 180 villages with rural municipalities, and 123 samples were determined by Cochran's formula. 28 items for rural performance of rural municipalities and 30 items for social capital were utilized to design the questionnaire. Cronbach's alpha method was used for the reliability, and experts’ opinions were used for to determine the validity. The correlation for the collected data was analyzed by Pearson Correlation Coefficient. FindingThe findings confirm that there is a significant relationship between the level of social capital and the performance of the rural municipalities. Among the indicator of social capital, social participation has the highest correlation and social trust has the lowest correlation with the performance of rural municipalities. The variables entered in the regression equation were able to explain 32% of the variance of the dependent variable. In addition, among them, the dependent variable is affected by the social participation at the highest and the social trust at the lowest.
Assessment of the age and sex variation in the distal radius morphology: an observational study

Aim: To assess age and sex variation in the distal radius morphology in normal Indian population presents to secondary care centre. Material and method: A cross-sectional prospective study was conducted in the Department of Orthopedics, SDH, Bagaha, West Champaran, Bihar, India, Total 160 healthy individuals were included in this study. We investigated the radiological distal radius index changes between four age groups. The study population included 160 normal subjects who were equally divided into four age groups (below 10 years, 10-20 years, 20-50 years, and above 50) of 20 males and 20 females according to age and sex. Radial inclination (RI), radial length (RL), palmar tilt (PT), and ulnar variance (UV) were measured in millimeters by the investigators. The measurements were performed with an orthopedic goniometer and a ruler. Results: The average RI, PT, and RL was 24.11, 11.88 , and 11.22 mm, respectively. Also, the average UV was +1.22 in the two above 20-year-old age groups. There was not any significant difference between the age groups except for UV. The UV in the two groups below-20-years-old was significantly different from the two groups above-20-years-old. But, no significant difference was observed between the two groups below-20, as well as between the groups above 20 regarding UV variation. No significant difference was detected between the males and females in any of the age groups regarding the mean variables. Although the mean UV in males and females belonging to the group 10-20-year-olds was -2.41 and -0.79, respectively, and the difference was not statistically significant. Conclusion: There is significant ulnar variance change toward less negative ulnar variance with aging until maturity.
Conflict and Supplement between Formal and Informal Institutions of Prepackaged Food Labeling

Scholars have been paying contiguous attention to the topic of discussion of the relationship between the formal institution and the informal institution in the academic community. Through the case study and practical investigation, this paper discusses the integrated present of the boundary and relationship between food label system and informal system. The boundary between a dominant formal system and a hidden informal system is not static and the informal system may be transformed into a formal one, provided that the informal system must be based fully on indigenous cultural characteristics. The relationship between the formal and informal institutions is not simply one kind of relationship existing, but the integrated presence of complex relationships. On the one hand, the formal system excludes the informal system, squeezing the space for informal institutional practice and impacting local knowledge. On the other hand, the informal system practices protect small-scale producers, maintain local knowledge and build other trust systems that are different from the mainstream system. Informal food labeling practice is supplement to formal system.
PR‐NET: Progressively‐refined neural network for image manipulation localization

Current deep learning‐based image manipulation localization methods achieve impressive performance when rich spatial features and information are fully utilized. However, most of them suffer from the irrelevance of semantic awareness when identifying various manipulation categories. This leads to false alarms on recognizing forged regions. In this paper, we propose a Progressively‐Refined Neural Network (PR‐Net), to localize the tampered regions progressively under a coarse‐to‐fine workflow. Specifically, PR‐Net is composed of a Feature Extractor (FE) that captures feature intrinsic correlations and a Mask Generation Module (MGM) with three refining generators. The FE takes a CNN to extract the image features and introduces an attention mechanism Convolution Block Attention Module (CBAM) to suppress the image content and guide the extractor in exploring the inconsistencies between the manipulated and authentic regions. The MGM comprises three generators where the Coarse Mask RR‐Generator generates a localization result roughly, the Candidate Mask RR‐Generator generates a possible tampered region according to the rough localization measure, and the Fine Mask RR‐Generator produces the final prediction of manipulated regions. We also utilize the Rotated Residual (RR) structure to suppress the image content during the generative process. The extensive experimental results on four benchmark data sets (NIST16, COVER, CASIA v1.0, and In‐The‐Wild) demonstrate the superior performance of PR‐Net compared with the state‐of‐the‐art methods in localizing the manipulated regions.
Attributing of global evapotranspiration trends based on the Budyko framework

Abstract. Actual evapotranspiration (ET) is an essential variable in the hydrological process, linking the carbon, water, and energy cycles. Global ET has significantly changed in the warming climate. Although increasing vapour pressure deficit (VPD) due to global warming enhances atmospheric water demand, it remains unclear how the dynamics of ET are affected. In this study, using multiple datasets, we disentangled the relative contributions of precipitation, net radiation, air temperature (T1), VPD, and wind speed on affecting annual ET linear trend using an advanced separation method that considers the Budyko framework. It is found that the precipitation variability dominantly controls global ET in the dry climates, the net radiation has substantial control over ET in the tropical regions, and VPD is impacting ET trends in boreal mid-latitude climate. The critical role of VPD in controlling ET trends is particularly emphasized due to its influence in controlling the land-atmosphere interactions.
LUMP REVEALING AND ORGANIZATION OF MRI IMAGE USING SUPPORT VECTORMACHINE

The Magnetic Resonance Imaging (MRI) had been applied in numerous clinical researches in the recent past computer science applications. For analysing tumor without human intervention will be taken into an account as a major space of analysis as a result of the extracted brain images is needed to be optimized mistreatment segmentation rule that will be having high resilient towards noise and cluster size sensitivity problem with automatic region of Interest (ROI) detection. Throughout the analysis, an improved Region Based machine-learning approach is employed for analysing the under segment and over segments of the tumor regions for finding the abnormality with automatic ROI detection. After the successful detection of tumor parts we are going to classify the two different classes of brain tumors such as benign and malignant. For that different feature extraction and (SVM) classification method are used for identifying the tumor. The exploration pays its ability within the field of brain abnormality detection and analysis could be implemented in the field of health care sector without human intercession.
Therapeutic Potential of Naturally Occurring Small Molecules to Target the Wnt/β-Catenin Signaling Pathway in Colorectal Cancer

Simple Summary Colorectal cancer (CRC) is an emerging public health problem and the second leading cause of death worldwide, with a significant socioeconomic impact in several countries. The 5-year survival rate is only 12% due to the lack of early diagnosis and resistance to available treatments, and the canonical Wnt signaling pathway is involved in this process. This review underlines the importance of understanding the fundamental roles of this pathway in physiological and pathological contexts and analyzes the use of naturally occurring small molecules that inhibits the Wnt/β-catenin pathway in experimental models of CRC. We also discuss the progress and challenges of moving these small molecules off the laboratory bench into the clinical platform. Abstract Colorectal cancer (CRC) ranks second in the number of cancer deaths worldwide, mainly due to late diagnoses, which restrict treatment in the potentially curable stages and decrease patient survival. The treatment of CRC involves surgery to remove the tumor tissue, in addition to radiotherapy and systemic chemotherapy sessions. However, almost half of patients are resistant to these treatments, especially in metastatic cases, where the 5-year survival rate is only 12%. This factor may be related to the intratumoral heterogeneity, tumor microenvironment (TME), and the presence of cancer stem cells (CSCs), which is impossible to resolve with the standard approaches currently available in clinical practice. CSCs are APC-deficient, and the search for alternative therapeutic agents such as small molecules from natural sources is a promising strategy, as these substances have several antitumor properties. Many of those interfere with the regulation of signaling pathways at the central core of CRC development, such as the Wnt/β-catenin, which plays a crucial role in the cell proliferation and stemness in the tumor. This review will discuss the use of naturally occurring small molecules inhibiting the Wnt/β-catenin pathway in experimental CRC models over the past decade, highlighting the molecular targets in the Wnt/β-catenin pathway and the mechanisms through which these molecules perform their antitumor activities.
FACE RECOGNITION USING MAHALANOBIS DISTANCE IN MATLAB

: Face is recognized after being requested from biometrics and has various uses in modern life. The problem of face recognition attracts researchers working on biostatistics, pattern recognition, and computer vision. Many face recognition algorithms are used in many different applications, regardless of biometrics such as video compression, indexing, etc. we can also use it to categorize multimedia content to quickly and effectively search interesting materials. An effective face recognition system can be very useful for forensic, law enforcement, surveillance, bank system authentication and security systems, and priority access to authorized users, i.e., access control to secure areas. With the recent increase in terrorism related cases, the problem of face recognition has become more important. While some of the latest face recognition algorithms, including machine learning tools, work well, unfortunately the training period and processing time are large enough to limit usage in real applications. Therefore, an ongoing struggle exists to propose an effective face recognition system with high precision and acceptable processing time.
WIRELESS SENSOR NETWORKS: A COMPLETE REVIEW

Wireless Sensor Network (WSN) has attracted many concerns in different domains because of its special features. A WSN is a set of a large number of resource constrained sensor nodes which have abilities for information detection, data processing, and short-range radio communication.WSN can be used for both military applications and civil applications with the tasks such as detection and monitoring of significant events in different environments or large areas. How to improve the reliability of WSN is one of the essential challenges for WSN from theoretical research to actual application. Reliability is the main issue in the Wireless Sensor Networks (WSN). Reliable data transport is an important facet of dependability and quality of service in wireless sensor networks. In this paper, the various techniques proposed for minimizing the energy consumption have been discussed. This is done primarily to give an overview of the various techniques known today for reliable data transport problem and minimizing the energy consumption in wireless sensor
REPLICATE TRANQUILITY WORDS EXPOSURE ON OSN WITH SEMANTIC ENRICHMENT

: One fundamental issue in today’s Online Social Networks (OSNs) is to give users the ability to control the messages posted on their own private space to avoid that unwanted content is displayed. Up to now, OSNs provide little support to this requirement. To fill the gap, in this paper, we propose a system allowing OSN users to have a direct control on the messages posted on their walls. This is achieved through a flexible rule-based system, that allows users to customize the filtering criteria to be applied to their walls, and a Machine Learning-based soft classifier automatically labeling messages in support of content-based filtering.