Miracle-dz/UniFAR-FTUs huggingface dataset:
Super resolution image reconstruction via dual dictionary learning in sparse environment

Patch-based super resolution is a method in which spatial features from a low-resolution (LR) patch are used as references for the reconstruction of high-resolution (HR) image patches. Sparse representation for each patch is extracted. These coefficients obtained are used to recover HR patch. One dictionary is trained for LR image patches, and another dictionary is trained for HR image patches and both dictionaries are jointly trained. In the proposed method, high frequency (HF) details required are treated as combination of main high frequency (MHF) and residual high frequency (RHF). Hence, dual-dictionary learning is proposed for main dictionary learning and residual dictionary learning. This is required to recover MHF and RHF respectively for recovering finer image details. Experiments are carried out to test the proposed technique on different test images. The results illustrate the efficacy of the proposed algorithm.
Parallel Session – Wednesday , 9 June , 13 . 30-15 . 00 , Room 1 Persistence and Survival of Pathogens in Dry Food Processing Environments

Mr Brendan Smith TD, was appointed Minister for Agriculture, Fisheries and Food on 7 May 2008. Previously he had served as Minister for Children at the Department of Health and Children from 20th June 2007 and served as Minister of State at the Department of Agriculture and Food with special responsibility for Food and Horticulture from September, 2004. Brendan Smith has been a full-time Public Representative and a Dáil Deputy for the constituency of Cavan-Monaghan since 1992. He also served as a Co-Chairman of the British-Irish Inter-Parliamentary Body from 2002 to 2004. Brendan Smith has also served as a member of the Cavan Vocational Education Committee including Chairman of the Board of Management of Cavan College of Further Studies and Chairman of the Board of Management of Virginia College. Born in Co Cavan in June, 1956, he was educated in St. Camillus College, Killucan, Co Westmeath and graduated from UCD (BA in Politics and Economics).
TRAIL-TRACKER: ANTI-POACHING INTELLIGENCE USING AI AND IOT

: Poaching in today’s world is one of the most significant threats to wildlife. Poachers use different methods to capture animals. Many commercial poachers use military-grade weapons along with arrows and spears to hunt wildlife. Sometimes, objects called snares (a set of wires tied to trees configured to capture any animal by their leg or neck that gets into it) are also implemented. Poachers also trap the animal into large nets, known as trap nets, pitfall traps (a vast pit dug in the ground that is layered with leaves and plants) or baits. In this paper, we suggest a new solution that operates in real-time to pursue the cause of wildlife conservation by preventing the poaching of any species of animals - endangered or non-endangered by profit-hungry poachers with the help of Artificial Intelligence(AI) and Internet of Things(IoT). In comparison to previous methods in the same domain, it presents an alternate approach, in the form of a monitoring system that can track poaching activity and predict poachers’ behaviour and alert forest authorities for any suspicious crime.
EMPLOYEE OBSOLESCENCE AND COUNTERPRODUCTIVE WORK BEHAVIOUR AMONG EMPLOYEES OF SELECT GOVERNMENT ORGANIZATIONS

Survival of the fittest is the rule of the game. Two organizations can afford to have same amount of capital, infrastructure and technology. But one thing that differentiates them is their human resource. Employees are considered to be the most important asset of the organization. In today’s dynamic environment, employees can survive in the organizations only if they adapt themselves to this change. And those employees who are not able to keep themselves at pace with the change get frustrated, which in turn results into Counterproductive Work Behavior by employees. Present research has focused on the issues of Employee Obsolescence and Counterproductive Work Behavior among employees. To conduct the research, a sample of 103 employees working in NHPC and CGWB was selected randomly on availability basis. Chosen employees were tested for employee obsolescence and Counterproductive Work Behavior by using Professional Obsolescence Scale (Chauhan 2000) and Counterproductive Work Behavior Checklist (CWB-C) (Paul E. Spector, 2006) respectively. Tested employees were divided into two groups of obsolete and non-obsolete employees, who in turn were tested for their Counterproductive Work Behavior. Findings of the study show that mean value for Counterproductive Work Behavior of obsolete employee’s (121.34) was very high in comparison to the mean value (62.02) of non-obsolete employee’s. To examine the difference between mean values for Counterproductive Work Behavior among obsolete and non-obsolete employee’s, independent t-test was used. T-test value (t = 3.43, p < 0.05) shows that there was significant difference between the mean values of obsolete employee’s and non-obsolete employee’s which means there was positive and significant difference in the tendency of Counterproductive Work Behavior among obsolete and non-obsolete employee’s. Obsolete employees were having higher tendency of Counterproductive Work Behavior in comparison to non-obsolete employees.
A Probabilistic Deep Image Prior over Image Space

The deep image prior regularises under-specified image reconstruction problems by repara-metrising the target image as the output of a CNN. We induce a prior over images by scoring CNN outputs using a classical image reconstruction regulariser. We translate this functional prior into weight space using a change of variables and propose an efficient linearised Laplace inference algorithm. Hyperparameters are optimised with Type-II MAP. We obtain pixel-wise uncertainty estimates, which we show to be calibrated to the reconstruction error
In-vitro Gas Production and Digestibility of Indian Marsh Fleabane (Pluchea indica L.) and Portia Tree Leaves

Corresponding Author: Tossaporn Incharoen Faculty of Agriculture Natural Resources and Environment, Naresuan University, Phitsanulok, Thailand Email: tossaporni@nu.ac. th Abstract: The use of plant leaves as an alternative roughage is an effective feeding strategy under a limited supply or lack of feed resources for small ruminants. Thus, this study aimed to investigate the potential of Indian Marsh Fleabane (Pluchea indica L.) Leaf (IMFL) and Portia Tree (Thespesia populnea) Leaf (PTL) as roughage sources. This experiment was carried out to determine the effects of different ratios of IMFL or PTL to concentrate on degradability and in-vitro gas production. A completely randomized design with 5 replicates per treatment was used to determine the effect of different ratios of IMFL or PTL to concentrate (12.66% CP) as Dry Matter (DM) basis. The tested treatments of IMFL were 100:0 (T1), 60:40 (T2) and 50:50 (T3) and of PTL were 100:0 (T4), 60:40 (T5) and 50:50 (T6). The results showed that gas production from soluble fractions, gas production from insoluble fractions, the potential extent of gas production and the gas production rate among all treatments were not significantly different. In-vitro gas production at 4, 8, 12, 24, 48, 72 and 96 h. and metabolized energy in the T1 group was significantly higher (P<0.05) than in other groups. However, NH3-N and In-vitro True Digestibility (IVTD) were not significant among treatments. Compared to other treatments, In-vitro Organic Matter Digestibility (IVOMD) was significantly the lowest in the T4 group (P<0.05). The obtained results indicated that the optimal ratios of IMFL or PTL to concentrate were 60:40 and 50:50 on a DM basis. Therefore, we concluded that IMFL and PTL had the potential to be used as alternative roughage sources for ruminants without negative impact on gas production, In-vitro digestibility and NH3-N assessment.
Strategies for enhancing immunity against avian influenza virus in chickens: a review

ABSTRACT Poultry infection with avian influenza viruses (AIV) is a continuous source of concern for poultry production and human health. Uncontrolled infection and transmission of AIV in poultry increase the potential for viral mutation and reassortment, possibly resulting in the emergence of zoonotic viruses. To this end, implementing strategies to disrupt the transmission of AIV in poultry, including a wide array of traditional and novel methods, is much needed. Vaccination of poultry is a targeted approach to reduce clinical signs and shedding in infected birds. Strategies aimed at enhancing the effectiveness of AIV vaccines are multi-pronged and include methods directed towards eliciting immune responses in poultry. Strategies include producing vaccines of greater immunogenicity via vaccine type and adjuvant application, and increasing bird responsiveness to vaccines by modification of the gastrointestinal tract (GIT) microbiome and dietary interventions. This review provides an in-depth discussion of recent findings surrounding novel AIV vaccines for poultry, including reverse genetics vaccines, vectors, protein vaccines and virus-like particles, highlighting their experimental efficacy among other factors such as safety and potential for use in the field. In addition to the type of vaccine employed, vaccine adjuvants also provide an effective way to enhance AIV vaccine efficacy; therefore, research on different types of vaccine adjuvants and vaccine adjuvant delivery strategies is discussed. Finally, the poultry gastrointestinal microbiome is emerging as an important factor in the effectiveness of prophylactic treatments. In this regard, current findings on the effects of the chicken GIT microbiome on AIV vaccine efficacy are summarized here.
Serum thymus and activation-regulated chemokine level is associated with the severity of chronic kidney disease-associated pruritus in patients undergoing peritoneal dialysis

Background: Thymus and activation-regulated chemokine (TARC), which induces a Th2-dominated inflammation, is a well-known biomarker that reflects the severity of atopic dermatitis. The present study aimed to evaluate TARC as a Th2-associated marker with chronic kidney disease-associated pruritus (CKD-aP) in patients with peritoneal dialysis (PD). Methods: This single-centre cross-sectional study included patients who underwent PD in our hospital between August 2020 and July 2021. The severity and impaired quality of life (QOL) of CKD-aP were assessed using the visual analogue scale (VAS) and Japanese version of the 5-D itch scale (5D-J), respectively. Results: A total of 48 patients with PD were included in the present study. Age and dialysis vintage were (mean ± SD) 64.8 ± 12.0 year and (median (IQR)) 38.5 (11.5–91.5) month, respectively. VAS and 5D-J scores were 3.3 ± 2.0 and 10.5 (9.0–12.0), respectively. Serum TARC level was 481.5 (278.9–603.4) pg/mL (upper limits of normal 450 pg/mL) and significantly correlated with VAS (r = 0.39, p = 0.006) and 5D-J score (r = 0.37, p = 0.009). Multivariate linear analysis revealed that higher serum TARC level was significantly associated with VAS (p < 0.001) and 5D-J score (p < 0.001). Furthermore, the serum brain natriuretic peptide level tended to be associated with VAS (p = 0.060) and 5D-J score (p = 0.029). Conclusion: Serum TARC level is an independent predictor of the severity and impaired QOL of CKD-aP in patients with PD, and TARC might be involved in the pathogenesis of CKD-aP.
Mental health among patients with non‐Hodgkin lymphoma: A Danish nationwide study of psychotropic drug use in 8750 patients and 43 750 matched comparators

Psychological distress following cancer diagnosis may lead to mental health complications including depression and anxiety. Non‐Hodgkin lymphomas (NHLs) include indolent and aggressive subtypes for which treatment and prognosis differ widely. Incident use of psychotropic drugs (PDs—antidepressants, antipsychotics, and anxiolytics) and its correlation to lymphoma types can give insights into the psychological distress these patients endure. In this prospective matched cohort study, we used nationwide population‐based registries to investigate the cumulative risk of PD use in NHL patients compared to a sex‐ and age‐matched cohort from the Danish background population. In addition, contact patterns to psychiatric departments and incident intentional self‐harm or completed suicide were explored. In total, 8750 NHL patients and 43 750 matched comparators were included (median age 68; male:female ratio 1.6). Median follow‐up was 7.1 years. Two‐year cumulative risk of PD use was higher in NHL patients (16.4%) as compared to the matched comparators (5.1%, p < .01); patients with aggressive NHL subtypes had the highest incidence. Prescription rates were higher in the first years after diagnosis but approached the rate of the matched population 5 years into survivorship in aggressive NHLs, whereas patients with indolent subtypes continued to be at higher risk. NHL patients had a slightly higher two‐year risk of suicide/intentional self‐harm (0.3%) as compared to the matched comparators (0.2%, p = .01). These results demonstrate that mental health complications among NHL patients are frequent. Routine assessment for symptoms of depression and anxiety should be consider as part of standard follow‐up of NHL patients.
Selective ablation of Nfix in macrophages attenuates muscular dystrophy by inhibiting fibro‐adipogenic progenitor‐dependent fibrosis

Muscular dystrophies are genetic diseases characterized by chronic inflammation and fibrosis. Macrophages are immune cells that sustain muscle regeneration upon acute injury but seem deleterious in the context of chronic muscle injury such as in muscular dystrophies. Here, we observed that the number of macrophages expressing the transcription factor Nfix increases in two distinct mouse models of muscular dystrophies. We showed that the deletion of Nfix in macrophages in dystrophic mice delays the establishment of fibrosis and muscle wasting, and increases grasp force. Macrophages lacking Nfix expressed more TNFα and less TGFβ1, thus promoting apoptosis of fibro‐adipogenic progenitors. Moreover, pharmacological treatment of dystrophic mice with a ROCK inhibitor accelerated fibrosis through the increase of Nfix expression by macrophages. Thus, we have identified Nfix as a macrophage profibrotic factor in muscular dystrophies, whose inhibition could be a therapeutic route to reduce severity of the dystrophic disease. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
On the evaluation model and method of safety hazard integration management maturity of coal mine

The present paper takes it as the target to improve the safety risk integrationmanagement competence of the coal mine enterprises.For the given purpose,we have summarized the reasons of the coal mining accidents through literature review,including how to heighten the safety awareness and enhance the management experience for the coal miners aswell as make up for the insufficient safety investment and game theory to strengthen the leadership of the mining practices among the stakeholders.Through the investigation of 11 coal mine enterprises,we have found that the radical problem leading to production accidents and unexpected disasters come mainly from the low coal mining safety risk integration management competence and resolution.We have also made clear that there have not been established mature evaluation model in the field of coal mining safety and securityworked out by the relevant scholars,which is likely to account for the immature management of the coal mines in China.On the basis of our investigation,we have indentified 6 index through logic analysis,which include five sections,thatis,the safety and security target,method,analysis,evaluation and optimization.For doing our research,we have referred to over 30 experts for consulting and inquisition on the existing 11 coal mine enterprises,we constructed coal mine safety risk integrationmanagementmaturity evaluation modelwhich contains35 evaluation indices.Afterwards,we have done delivered 330 copies of survey questionnaires,and received the valid response rate of 80.3%. Subsequently,we have made exploratory factor analysis and confirmatory factor analysis to test the reliability and the validity of the 35 evaluation indices,respectively.The results of ourinvestigation demonstrate that the evaluation indices can be used to account for the above said 6 index.And,the next,AHP method has been adopted to determine the weights of 35 evaluation indices,which has enabled us to choose the weighted product sums method to evaluate the level of the coal mine safety risk integration management maturity.And,last of all,we have introduced the case of Y coal mine and tested the effect of the evaluation model and the method which we have constructed in this paper.Thus,it can be said that the coal mine safety risk integration managementmaturity evaluation model and the corresponding method we have developed are both scientific and feasible for its purposes.
Prognostic Role of Albumin-Bilirubin Grade in Hepatocellular Carcinoma After Ultrasound-guided Percutaneous Radiofrequency Ablation: A Single-center Experience Over a Decade

Background: The albumin-bilirubin (ALBI) grade has been proposed to evaluate liver function and predict prognosis in patients with hepatocellular carcinoma (HCC). Data are scarce in terms of the clinical application of ALBI score in patients with HCC undergoing radiofrequency ablation (RFA). The current study sought to assess the prognostic efficacy of ALBI grade in early-stage HCC after RFA. Methods: We retrospectively reviewed 344 treatment-naive patients, whereby the overall survival (OS), recurrence-free survival (RFS), local tumor progression, and intrahepatic distant recurrence were assessed using Kaplan-Meier analysis. Predictors determining OS and RFS after RFA were analyzed using Cox proportional hazards analysis. Results: During a median follow-up time of 48.0 months (range: 2 to 158 mo), 48 patients had died because of tumor progression or liver failure. Patients with ALBI grade 2 had poorer OS (P=0.033) and RFS (P=0.002), and higher intrahepatic distant recurrence rate (P<0.001) than those with ALBI grade 1. Local tumor progression rates were comparable between the 2 groups (P=0.801). Multivariate analyses showed that ABLI grade 2 was the only independent risk factor for poor OS (hazard ratio=1.850, 95% confidence interval: 1.041-3.286, P=0.036) and poor RFS (hazard ratio=1.467, 95% confidence interval: 1.094-1.968, P=0.011) after RFA. For Child-Pugh grade A group, patients divided by ALBI grade 1 versus grade 2 showed significant differences in both OS and RFS (P=0.039 and 0.002). Conclusion: The ALBI grade can be used to discriminate long-term prognosis in patients with HCC following RFA and to further stratify prognosis in those with Child-Pugh grade A.
Cardiovascular disease risk in liver transplant recipients transplanted due to chronic viral hepatitis

Background Cardiovascular disease (CVD) is a major cause of morbidity and mortality after liver transplantation, mostly in patients transplanted for nonalcoholic steatohepatitis, obesity and diabetes. Few data exist on cardiovascular diseases among patients transplanted for viral hepatitis. Objective Our aim is to clarify the cardiovascular risk and subclinical vascular damage among liver transplant recipients for chronic viral hepatitis (i.e. hepatits C virus, hepatis B virus and hepatitis D virus infection). Methods Adult patients (age ≥ 18 years) with orthotopic liver transplants (OLT) due to viral hepatitis who signed informed consent, and were admitted for a routine follow-up between June 2019 and September 2020 at the Infectious Disease outpatient clinic of the University of Campania Luigi Vanvitelli, Naples, Italy, were prospectively enrolled. An estimation of cardiovascular risk was assessed using three main risk charts, echocolor-Doppler of epiaortic vessels was performed to assess subclinical Intima-Media changes. Results A total of 161 patients were evaluated; of these 15 were excluded because not affected by viral hepatitis. 146 patients were considered. 83 patients (56.8%) were considered at high cardiovascular risk according to Framingham, 54 patients (36.9%) to American Heart Association Arteriosclerotic Cardiovascular Disease (ASCVD) score and 19 (13.0%) to Heart Score. Only 8 patients (5.4%) showed a normal carotid ultrasound, while 52 patients (35.6%) had a carotid artery Intima-Media Thickness (IMT) and 86 (58.9%) an atherosclerotic plaque. Conclusions Liver transplant recipients for virus-related associated liver disease are, in light of the high percentage of carotid lesions, at high risk of CVD. Risk charts compared to subclinical carotid lesions which represent damage already established and a real localization of the disease, seem to underestimate the cardiovascular risk. A chronic inflammatory status, could play a key role. It’s important to raise the awareness of cardiovascular risk in liver transplant patients to prevent cardiovascular diseases and improve the timing of early diagnosis of premature vascular lesions.
Dust Controlling in Demolition Blasting of Guangzhou Gymnasium

A sense technical measurements of dust-layer in demolition blasting of building of sport center in Guangzhou are introduced in this paper. The comprehensive measurements involve in high pressure sprinkling water film ,which is produced by pipe network of 410 m in length ,extinguishing water bomb dropping from helicopter. Therefore ,dust occurring and its diffusion have been efficiently controlled. Dust pollution to down-town district has been reduced.
Brain tumor magnetic resonance image segmentation by a multiscale contextual attention module combined with a deep residual UNet (MCA-ResUNet)

Background and Objective. Automatic segmentation of MRI brain tumor area is a key step in the diagnosis and treatment of brain tumor. In recent years, the improved network based on UNet encoding and decoding structure has been widely used in brain tumor segmentation. However, due to continuous convolution and pooling operations, some spatial context information in existing networks will be discontinuous or even missing. It will affect the segmentation accuracy of the model. Therefore, the method proposed in this paper is to alleviate the lack of spatial context information and improve the accuracy of the model. Approach. This paper proposes a context attention module (multiscale contextual attention) to capture and filter out high-level features with spatial context information, which solves the problem of context information loss in feature extraction. The channel attention mechanism is introduced into the decoding structure to realize the fusion of high-level features and low-level features. The standard convolution block in the encoding and decoding structure is replaced by the pre-activated residual block to optimize the network training and improve the network performance. Results. This paper uses two public data sets (BraTs 2017 and BraTs 2019) to evaluate and verify the proposed method. Experimental results show that the proposed method can effectively alleviate the lack of spatial context information, and the segmentation performance is better than other existing methods. Significance. The method improves the segmentation performance of the model. It will assist doctors in making accurate diagnosis and provide reference basis for tumor resection. As a result, the proposed method will reduce the operation risk of patients and the postoperative recurrence rate.