Miracle-dz/UniFAR-FTUs huggingface dataset:
SRCBTFusion-Net: An Efficient Fusion Architecture via Stacked Residual Convolution Blocks and Transformer for Remote Sensing Image Semantic Segmentation

Convolutional neural network (CNN) and transformer-based self-attention models have their advantages in extracting local information and global semantic information, and it is a trend to design a model combining stacked residual convolution blocks (SRCBs) and transformer. How to efficiently integrate the two mechanisms to improve the segmentation effect of remote sensing (RS) images is an urgent problem to be solved. An efficient fusion via SRCB and transformer (SRCBTFusion-Net) is proposed as a new semantic segmentation architecture for RS images. The SRCBTFusion-Net adopts an encoder–decoder structure and the Transformer is embedded into SRCB to form a double coding structure, then the coding features are upsampled and fused with multiscale features of SRCB to form a decoding structure. First, a semantic information enhancement module (SIEM) is proposed to get global clues for enhancing deep semantic information. Subsequently, the relationship guidance module (RGM) is incorporated to reencode the decoder’s upsampled feature maps, enhancing the edge segmentation performance. Second, a multipath atrous self-attention module (MASM) is developed to enhance the effective selection and weighting of low-level features, effectively reducing the potential confusion introduced by the skip connections between low- and high-level features. Finally, a multiscale feature aggregation module (MFAM) is developed to enhance the extraction of semantic and contextual information, thus alleviating the loss of image feature information and improving the ability to identify similar categories. The proposed SRCBTFusion-Net’s performance on the Vaihingen and Potsdam datasets is superior to the state-of-the-art methods. The code will be freely available at https://github.com/js257/SRCBTFusion-Net.
Investigation and analysis on the transmission of wheat blossom midge by cross-operating of combine harvester in Hebei province

Thorough investigation of the impacts on the transmission of wheat blossom midge by cross-operating of combine harvester in Hebei province was conducted. It showed that wheat blossom midge can be spread by cross-operating of combine harvester, which could make damages to agricultural production. And based on the investigation, several suggestions were proposed.
Pulmonary Rehabilitation with and without a Cognitive Behavioral Intervention for Breathlessness in People Living with Chronic Obstructive Pulmonary Disease: Randomized Controlled Trial

(1) Background: Most controlled trials of cognitive behavior therapy (CBT) in people living with chronic obstructive pulmonary disease (COPD) have targeted anxiety and depression. (2) Methods: This pragmatic randomized controlled trial explored whether a comprehensive pulmonary rehabilitation program (CPRP) with CBT for breathlessness or social group control (CPRP + SC) significantly improved health outcomes. (3) Results: People with moderate-to-severe COPD were block randomized (CPRP + CBT n = 52 or CPRP + SC n = 49). Primary outcomes (Hospital Anxiety and Depression scale (HADs), six-minute walk distance (6MWD)) and secondary outcomes (breathlessness, quality of life and habitual physical activity) were assessed before and 1, 6 and 12 months post intervention. Between-group differences were calculated with mixed models for each time point to baseline (intention to treat (ITT)). Participants (n = 101, mean ± SD age 70 ± 8.5 years, 54 (53%) males, FEV1% pred 47.7 ± 16.3) were similar between groups. Post intervention, primary outcomes did not differ significantly between groups at 1 (6MWD mean difference −7.5 [95% CI −34.3 to 19.4], HADs-A −0.3 [−1.4 to 0.9], HADs-D 0.2 [−0.8 to 1.3]), 6 (6MWD −11.5 [−38.1 to 15.1], HADs-A 1.1 [0.0 to 2.2], HADs-D 0.2 [−0.9 to 1.3]), or 12 months (6MWD −3.8 [−27.2 to 19.6], HADS-A −0.4 [−1.5 to 0.6], HADs-D −0.7 [−1.7 to 0.4]). (4) Conclusions: In this cohort, combining CBT with a CPRP did not provide additional health benefits beyond those achieved by a standard CPRP.
BCG Signal Quality Assessment Based on Time-Series Imaging Methods

This paper describes a signal quality classification method for arm ballistocardiogram (BCG), which has the potential for non-invasive and continuous blood pressure measurement. An advantage of the BCG signal for wearable devices is that it can easily be measured using accelerometers. However, the BCG signal is also susceptible to noise caused by motion artifacts. This distortion leads to errors in blood pressure estimation, thereby lowering the performance of blood pressure measurement based on BCG. In this study, to prevent such performance degradation, a binary classification model was created to distinguish between high-quality versus low-quality BCG signals. To estimate the most accurate model, four time-series imaging methods (recurrence plot, the Gramain angular summation field, the Gramain angular difference field, and the Markov transition field) were studied to convert the temporal BCG signal associated with each heartbeat into a 448 × 448 pixel image, and the image was classified using CNN models such as ResNet, SqueezeNet, DenseNet, and LeNet. A total of 9626 BCG beats were used for training, validation, and testing. The experimental results showed that the ResNet and SqueezeNet models with the Gramain angular difference field method achieved a binary classification accuracy of up to 87.5%.
Identification and Preliminary Clinical Validation of Key Extracellular Proteins as the Potential Biomarkers in Hashimoto’s Thyroiditis by Comprehensive Analysis

Hashimoto’s thyroiditis (HT) is an autoimmune disruption manifested by immune cell infiltration in thyroid tissue and the production of antibodies against thyroid-specific antigens, such as the thyroid peroxidase antibody (TPOAb) and thyroglobulin antibody (TGAb). TPOAb and TGAb are commonly used in clinical tests; however, handy indicators of the diagnosis and progression of HT are still scarce. Extracellular proteins are glycosylated and are likely to enter body fluids and become readily available and detectable biomarkers. Our research aimed to discover extracellular biomarkers and potential treatment targets associated with HT through integrated bioinformatics analysis and clinical sample validations. A total of 19 extracellular protein-differentially expressed genes (EP-DEGs) were screened by the GSE138198 dataset from the Gene Expression Omnibus (GEO) database and protein annotation databases. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were used to analyze the function and pathway of EP-DEGs. STRING, Cytoscape, MCODE, and Cytohubba were used to construct a protein–protein interaction (PPI) network and screen key EP-DEGs. Six key EP-DEGs (CCL5, GZMK, CXCL9, CXCL10, CXCL11, and CXCL13) were further validated in the GSE29315 dataset and the diagnostic curves were evaluated, which all showed high diagnostic accuracy (AUC > 0.95) for HT. Immune profiling revealed the correlation of the six key EP-DEGs and the pivotal immune cells in HT, such as CD8+ T cells, dendritic cells, and Th2 cells. Further, we also confirmed the key EP-DEGs in clinical thyroid samples. Our study may provide bioinformatics and clinical evidence for revealing the pathogenesis of HT and improving the potential diagnosis biomarkers and therapeutic strategies for HT.
Educational Innovation with a Multicultural Perspective

TEEM (Technological Ecosystems for Enhancing Multiculturality) Conference has the aim to deal with current complex problems regarding the Knowledge Society from a technological-based multicultural approach. This event is organized in thematic tracks in which ones different approaches and solutions are discussed. Educational innovation has been presented in all TEEM editions as a very key topic related to the way teaching and learning is tackled at this moment. Specifically, this special issue gathers four selected and extended papers from TEEM 2014 that present success educational cases that fully involve the use of technology in the educational processes from a multicultural perspective. Educational Innovation with a Multicultural Perspective
Dating and Petrochemistry of the Beijige Pluton in Siziwangqi,Inner Mongolia

The Beijige pluton is located in the Siziwangqi area,Inner Mongolia,tectonically belongs to the Xing-Meng orogenic belt,lying on the southern margin of the Erdaojing-Chaganwula-Honggeer suture zone.It is predominantly composed of syenogranite.LA-ICP-MS U-Pb zircon dating and petrochemical analysis have been carried out in order to understand the formation age and natures of the pluton.As a result,zircons from syenogranite give a LA-ICP-MS mean U-Pb age of(264.0±3.4)Ma(MSWD =1.5). Petrochemical data indicate that syenogranite belong to high-alkaline series(K2O+Na2O=8.0%-9.29 %,K2O/Na2O=1.20-2.59),low Rb/Sr ratios(2.4-4.2),rich in LILE((La/Yb)N =3.1-13.6),deplete in HFSE show an affinity to I-type granite.The main dark mineral and accessory mineral of syenogranite are biotite and sphere,with abundant mafic microgranular enclaves,a common feature of KCG,which formed in the transition stage of continental subduction and collision.In the discrimination diagrams,all samples fall into the syn-collision area.Geochronological and petrochemical data imply that the Beijige pluton is related to a syn-collisional regime,maybe triggered by an extensive underplating.
THE BIOLOGICAL CHARACTERISTIC OF ATLANTIC BLACK SKIPJACK (EUTHYNNUS ALLETTERATUS) OF THE EASTERN ATLANTIC OCEAN

SUMMARY The Atlantic black skipjack (Euthynnus alletteratus) biological characteristic in Eastern Atlantic Ocean has been researched on the basis of the Russian investigation. The research of some biological parameters (morphometric characteristics, length structure, seasonal dynamics of sex maturity, sex ratio and feeding rate) has been made for two areas and the length-weight relationship was determined. The differences in tuna morphometric and biological characteristics revealed in the study areas indicate the availability of two groups in the Eastern Atlantic Ocean. RESUME
Aumento de la vida útil y microbiología de la carne de pavo envasada en atmósferas modificadas Shelf life extension and microbiology of turkey meat packaged in modified atmosphere

63 almacenada a 2oC (Barnes et ai., 1979) y en carne de palio envasada en las mismas atmósferas y almacenada a 3oC (Kakouri y Nychas, 1994). Todos estas autores ofrecen recuentos bastante escasos en estas atmósferas; es decir, las pseudomonas están inhibidas por la reducida tensión de 0 2, pera aún pueden multiplicarse. En este trabajo se apreciá el desarrollo de los microorganismos que crecen en agar PSD en muestras envasadas en atmósferas enriquecidas en C0/02, y recuentos en fase estacionaria incluso por encima de 1 07 ufc/cm2 (Tabla 2). El hecho de haberse observado crecimiento en carne de pavo (pH 6,0) induce a pensar que el microorganismo responsable de dicho recuento fuera Shewanella putrefaciens, ya que esta bacteria se multiplica en carne refrigerada ( < 4oC) con pH elevado (Hood y Mead, 1993). Además, es la única bacteria de las ensayadas por Mead y Adams (1977) que crecía perfectamente, igual que las pseudomonas, en agar PSD. En resumen, las pseudomonas, como aerobias estrictas, se desarrollan extraordinariamente bien en aire, siendo las responsables de la alteración de la carne en aerobiosis, mientras que en anaerobiosis (atmósfera de nitrógeno) o en atmósferas enriquecidas en C0/02 pueden detectarse de forma ocasional.
Factors Affecting the Distribution of CERs : A Cross-Sectional Empirical Analysis

The CDM has promoted GHG reduction activities in developing countries. There is, however, a controversial issue of an unequal distribution of CDM benefits among developing nations. To date, some emerging economies have been receiving the majority of CERs while most LDCs have few of them. This paper, hence, attempts to empirically identify determinants of the amount of CERs in order to suggest potential approaches for LDCs. Consequently, this paper finds that GHG reduction potentials, governance levels, and science and technical levels have significant positive effects on the amount of CERs. In contrast, looking at host countries in LDCs, ODA is the only factor having significant positive effects. This seems to show that CDM activities in LDCs have been implemented against the principle of market mechanism. Ultimately, this paper suggests that, LDCs ought to ameliorate their endogenous factors (i.e., governance levels and science and technical levels), and that international organization and advanced nations should further encourage LDCs by providing finance and capacity development programs.
Comparing real-world outcomes of total neoadjuvant treatment and CRT at a tertiary medical center

Introduction For years, standard treatment for locally advanced rectal cancer (LARC) has included neoadjuvant chemoradiotherapy (CRT), followed by surgery and adjuvant chemotherapy. Although CRT has helped reduce local recurrence rates, it hasn’t consistently improved overall survival. Recent trials have unveiled a different approach called total neoadjuvant treatment (TNT), involving pre-surgery radiotherapy followed by chemotherapy (CAPOX/FOLFOX). TNT shows promise with improved treatment response and lower distant metastasis rates without compromising local control. Consequently, many healthcare institutions have adopted TNT as their preferred neoadjuvant treatment. This study, conducted at a tertiary center, compares the real-world outcomes of both CRT and TNT protocols. Methods In this retrospective study of 390 patients treated between 2015 and 2021, aged 18 or older with LARC and tumors within 12 cm of the anal verge, we compared treatment outcomes. We assessed factors like pathological complete remission (pCR), three-year event-free survival (EFS), and overall survival (OS) between the two treatment groups using the Chi-squared test. Results Out of the 390 eligible patients, 256 underwent CRT, while 84 received TNT. Surgery was performed on 215 (84%) patients in the CRT group, compared to 55 (65.5%) in the TNT group. Notably, 33 (12.8%) achieved pCR in the CRT group, whereas 23 (27.7%) achieved pCR in the TNT group (P <.001). Regardless of whether surgery was performed or not, the TNT group exhibited lower recurrence rates (12.7% vs. 18.6% with surgery, 28.6% vs. 45% without surgery). The 3-year EFS rate was 80% in the CRT group and 90% in the TNT group (P = .05). Additionally, the 3-year OS rates favored the TNT group, standing at 96.4% compared to 84.4% in the CRT group (P = .005). Conclusion Our findings indicate that patients who underwent TNT demonstrated a higher likelihood of achieving pCR and experienced lower recurrence rates compared to those in the CRT group. Additionally, the TNT group exhibited superior 3-year EFS and OS. It is important to note, however, that a longer follow-up period is required to further validate these results.
Patterns Of Tourist Expenditure And Types Of Vacation Across The Family Life Cycle

This study examined the relationship between the family life cycle and tourist behavior, and found that stages in the family life cycle are reflected in both the type of vacation taken and financial expenditure made. Social orientation of young singles is evident, as are constraints imposed by children. Vacation activities correlate with the age of adult members of the group. Data are presented for accommodation, travel, meals, tours, shopping and entertainment, and reveal strong and consistent patterns of use for market segmentation.
Work, Training and Life Stress in ITU World Olympic Distance Age-Group Championship Triathletes

We assessed the training, work and Life Stress demands of a mixed gender group of 48 top amateur short-distance triathletes using an online retrospective epidemiological survey and the Life Events Survey for Collegiate Athletes. On superficial inspection, these mainly masters athletes appeared to undergo all the types of training that are recommended for the aging athlete. However, there were significant scheduling differences between their weekday vs. their weekend training, suggesting that age-groupers’ outside sports commitments may affect their training efficacy. The triathletes claimed to periodize, to obtain feedback on and to modify their training plans when appropriate—and some evidence of this was obtained. Over the year preceding the ITU World Age-Group Championships, they averaged 53%, 33% and 14% of their combined swim, cycle and run training time, respectively, within intensity zones 1, 2 and 3. Although the triathletes specifically stated that their training was focused on preparation for the ITU World Age-Group Championships, the way that they modified their training in the month before the event suggested that this aim was not necessarily achieved. Sports-related stress accounted for most—42.0 ± 26.7%—of their total Life Stress over the preceding year (vs. 12.7 ± 18.6% for Relationship-, 31.3 ± 25.9% for Personal- and 14.0 ± 21.1% for Career-related Stress). It affected most athletes, and was overwhelmingly negative, when it related to failure to attain athletic goal(s), to injury and/or to illness.
High resting energy expenditure in women with episodic migraine: exploring the use of predictive formulas

Introduction Migraine is a common and disabling primary headache, and its pathophysiology is not fully understood. Previous studies have suggested that pain can increase humans’ Resting Energy Expenditure (REE). However, no previous study has investigated whether the REE of individuals with migraine differs from the general population. Therefore, this study aims to assess whether the REE of women with migraine differs from that of women without headaches. We also tested the accuracy of REE predictive formulas in the migraine patients. Methods This cross-sectional study involves 131 adult women aged between 18 and 65 years, 83 with migraine and 48 without (controls). We collected clinical, demographic, and anthropometric data. Migraine severity was measured using the Migraine Disability Test and Headache Impact Test, version 6. The REE was measured by indirect calorimetry, and it was compared with the predicted REE calculated by formulas. Results Patients with migraine had higher REE when compared to controls (p < 0.01). There was a positive correlation between REE and the patient-reported number of migraine attacks per month (Rho = 0.226; p = 0.044). Mifflin-St Jeor and Henry and Rees were the predictive formulas that have more accuracy in predicting REE in women with migraine. Discussion Considering the benefits of nutritional interventions on treating migraines, accurately measuring REE can positively impact migraine patient care. This study enhances our understanding of the relationship between pain and energy expenditure. Our results also provide valuable insights for healthcare professionals in selecting the most effective predictive formula to calculate energy expenditure in patients with migraine.
Game On: Designing and Analysing an RPG Educational Game for Compilers Algorithm Understanding in the Metaverse

This paper explores the design, implementation, and evaluation of an educational game in the context of computer science education, using a Role-Playing Game (RPG) format and deploying it through a metaverse platform. Although gamification and game-based learning have shown promise in raising student motivation and engagement, the integration of the metaverse into these educational games has yet to be fully explored. This study fills this gap by describing the development of an RPG educational game, with a particular emphasis on the compilers design unit of a Computer Science course. The game incorporates educational elements alongside gameplay components to capitalize on the inherent motivation that games inspire. This study explores the feasibility of using widely available platforms like Gather and Google Docs Editor to develop interactive and engaging learning experiences, drawing on the literature on games, play, motivation, and the potential of the metaverse in education. Additionally, the research seeks to analyse student feedback through thematic analysis, providing insights into the utility and educational value of the game. This study contributes to the educational game design field by investigating the use of metaverse platforms for educational game design and evaluating students' opinions. It also offers advice for educators and instructional designers in improving online learning experiences.
Ten-day Response of vegetation NDVI to the Variations of Temperature and Precipitation in Eastern China

This paper analyzed the temporal and spatial responses of vegetation NDVI to the variations of temperature and precipitation in each ten-day period in the whole year,spring,summer and autumn covering 1998 to 2007 based on the SPOT VGT-NDVI data and daily temperature and precipitation data from 205 meteorological stations in eastern China.The results indicate that on the whole,the response of vegetation NDVI to the variation of temperature is greater than to that of precipitation in eastern China.Vegetation NDVI maximally responds to the variation of temperature with a lag of about 10 days,and it maximally responds to the variation of precipitation with a lag of about 30 days.The response of vegetation NDVI to temperature and precipitation is the greatest in autumn,and the lag time is longer in summer.Spatially,the maximum response of vegetation NDVI to the variation of temperature is greater in the northern and central parts than in the southern part of eastern China.The maximum response of vegetation NDVI to the variation of precipitation is greater in the northern part than in the central and southern parts of eastern China.There is more lag time of vegetation NDVI to the variation of temperature in the northern and southern parts,while less in the central part.The lag time of vegetation NDVI to the variation of precipitation gradually increases from the northern to the southern part according to the latitude.The response of vegetation NDVI to the variations of temperature and precipitation in eastern China is mainly consistent with other results obtained in eastern and southern China.
Polarimetric imaging based on coherent lidar for target detection

We experimentally construct a polarimetric imaging architecture based on coherent lidar by using the frequency modulated continuous wave (FMCW) and the Risley prism beam steering technology for target identification. By combining coherent detection and multi-channel point cloud fusion, the proposed polarimetric imaging design is exploited to not only achieve the large-scale scene reconstruction in complex environments, but also distinguish the target from other objects with diverse structural materials or camouflage. An outdoor polarimetric imaging experiment which has an imaging scene of ±30° and an angular resolution of 0.1°, is also performed utilizing the proposed architecture. Furthermore, the structures with different polarization characteristics can be displayed by selecting different polarization parameter images, which greatly improves the information dimension of target identification. The polarimetric imaging architecture provides a multi-dimensional perception and open new opportunities for remote sensing, autonomous driving, and military reconnoitering.