Miracle-dz/UniFAR-FTUs huggingface dataset:
Delay of 1-MCP Treatment on Post-Harvest Quality of ‘Bosc Kobak’ Pear

Information about 1-MCP application time on pears is crucial to optimize the schedule of treatment in commercial practice. In the present work, the effect of a 3, 5 and 7 d delay of 1-MCP treatment after harvest on ‘Bosc Kobak’ pears was investigated, with an emphasis on shelf life. Fruit was treated with 1-MCP (625 ppm) on the 3rd, 5th and 7th d after harvest for 24 h and then kept at 20 ◦C for 14 d or stored at 1 ◦C in normal atmosphere for 6 months. Ethylene, carbon dioxide production, flesh firmness, soluble solid content and color index was determined after 4 and 6 months of cold storage and an additional 7 d of shelf-life at 20 ◦C. Pears treated with 1-MCP had lower values in ethylene and carbon dioxide production after storage compared to the control group; in particular, fruit treated on the 3rd d after harvest obtained the lowest values. Moreover, flesh firmness of treated samples had a higher value than that of the others after cold storage and subsequent 7 d of shelf life at 20 ◦C. In addition, fruit treated on the 3rd d after harvest exhibited the slower change in surface color than that of other groups. However, 1-MCP treatment on the 5th and 7th d after harvest had a minor effect on firmness and surface color change after a long storage period. The effect of 1-MCP treatment depends on the time from harvest to application. The application of 1-MCP on the 3rd d after harvest obtained the highest efficacy. The results of this study provided information on scheduling the commercial 1-MCP application for ‘Bosc Kobak’ pears.
Efficient VLSI Design Ofconstant Multiplier Architecture Based on Vertical-Horizontal Binary Common Sub-Expression Elimination Algorithm Forreconfigurable FIR Filter Synthesis

: In Finite Impulse Response (FIR) filter, the multiplication operation is performed between a particular input variable and many coefficient constants. This is known as the Multiple Constant Multiplication (MCM) concept. The prior algorithms to implement this MCM for an efficient FIR filter are divided into two groups: Graphical algorithms and Common Sub-expression Elimination (CSE) algorithms. Graph based algorithms didn’t consider about the delay which is the most important parameter in high performance systems. Canonic Signed Digit (CSD) based CSE methods requires more memory to store the signed bits. Both graph based and CSE algorithms run on a fixed set of coefficients which is not suitable for the application like SDR system. CSE algorithm using binary representation of coefficients known as Binary Common Subexpression Elimination (BCSE) for the implementation of higher order reconfigurable FIR filters resulted in less complexity when compared to CSD based CSE. In BCSE, number of unpaired bits is less when compared to CSD based CSE These 2-bit and 3-bit BCSE based multiplier architectures lack optimization of adder tree. Vertical-Horizontal Binary Common Sub-expression Elimination (VHBCSE) algorithm has been applied to a multiplier of reconfigurable FIR filter whose coefficients change in real time. The proposed VHBCSE algorithm incorporates 2-bit BCSE algorithm being applied vertically across adjacent coefficients on the coefficient matrix initially, followed by applying variable-bit BCSE (4-bit and 8-bit) algorithm horizontally within each coefficient. Experimental results shows efficient power and area consumption.
iPLA 2 β Contributes to ER Stress ‐ Induced Apoptosis during Myocardial Ischemia / Reperfusion Injury

Both calcium‐independent phospholipase A2 beta (iPLA2β) and endoplasmic reticulum (ER) stress regulate important pathophysiological processes including inflammation, calcium ho‐ meostasis and apoptosis. However, their roles in ischemic heart disease are poorly understood. Here, we show that the expression of iPLA2β is increased during myocardial ischemia/reperfusion (I/R) injury, concomitant with the induction of ER stress and the upregulation of cell death. We further show that the levels of iPLA2β in serum collected from acute myocardial infarction (AMI) patients and in samples collected from both in vivo and in vitro I/R injury models are significantly elevated. Further, iPLA2β knockout mice and siRNA mediated iPLA2β knockdown are employed to evaluate the ER stress and cell apoptosis during I/R injury. Additionally, cell surface protein biotinylation and immunofluorescence assays are used to trace and locate iPLA2β. Our data demon‐ strate the increase of iPLA2β augments ER stress and enhances cardiomyocyte apoptosis during I/R injury in vitro and in vivo. Inhibition of iPLA2β ameliorates ER stress and decreases cell death. Mechanistically, iPLA2β promotes ER stress and apoptosis by translocating to ER upon myocardial I/R injury. Together, our study suggests iPLA2β contributes to ER stress‐induced apoptosis during myocardial I/R injury, which may serve as a potential therapeutic target against ischemic heart dis‐
Biological Significance of F-FDG PET/CT Maximum Standard Uptake Value for Predicting EGFR Mutation Status in Non-Small Cell Lung Cancer Patients

*These authors contributed equally to this work Purpose: To investigate the potential of maximum standardized uptake value (SUVmax) in predicting epidermal growth factor receptor (EGFR) mutation status in non-small cell lung cancer (NSCLC) patients. Methods: Clinical data of 311 NSCLC patients who had undergone both EGFR mutation test and F-FDG PET/CT scans between January 2013 and December 2017 at our hospital were retrospectively analyzed. Patients were sub-grouped by their origin of SUVmax. Univariate and multivariate analyses were performed to investigate the association between clinical factors and EGFR mutations. Receiver operating characteristic curve (ROC) analysis was performed to confirm the predictive value of clinical factors. In vitro experiments were performed to confirm the correlation between EGFR mutations and glycolysis. Results: EGFR-mutant patients had higher SUVmax than the wild-type patients in both primary tumors and metastases. In the multivariate analysis, SUVmax, gender and histopathologic type were determined as independent predictors of EGFR mutation status for patients whose SUVmax were obtained from the primary tumors; while for patients whose SUVmax were obtained from the metastases, SUVmax, smoking status and histopathologic type were regarded as independent predictors. ROC analysis showed that SUVmax of the primary tumors (cut off >10.92), not of the metastases, has better predictive value than other clinical factors in predicting EGFR mutation status. The predict performance was improved after combined SUVmax with other independent predictors. In addition, our in vitro experiments demonstrated that lung cancer cells with EGFR mutations have higher aerobic glycolysis level than wild-type cells. Conclusion: SUVmax of the primary tumors has the potential to serve as a biomarker to predict EGFR mutation status in NSCLC patients.
Channels and Transporters in Cell Signaling Properties of single-channel and whole cell Cl (cid:2) currents in guinea pig detrusor smooth muscle cells

Properties of single-channel and whole cell Cl (cid:2) currents in guinea pig detrusor smooth muscle cells. Am J Physiol Physiol 316: C698–C710, 2019. doi:10.1152/ajpcell.00327. 2018. —Multi-ple types of Cl (cid:2) channels regulate smooth muscle excitability and contractility in vascular, gastrointestinal, and airway smooth muscle cells. However, little is known about Cl (cid:2) channels in detrusor smooth muscle (DSM) cells. Here, we used inside-out single channel and whole cell patch-clamp recordings for detailed biophysical and pharmacological characterizations of Cl (cid:2) channels in freshly isolated guinea pig DSM cells. The recorded single Cl (cid:2) channels displayed unique gating with multiple subconductive states, a fully opened single-channel conductance of 164 pS, and a reversal potential of (cid:2) 41.5 mV, which is close to the E Cl of (cid:2) 65 mV, conﬁrming preferential permeability to Cl (cid:2) . The Cl (cid:2) channel demonstrated strong voltage dependence of activation (half-maximum of mean open probability, V 0.5 , ~ (cid:2) 20 mV) and robust prolonged openings at depolarizing voltages. The channel displayed similar gating when exposed intracellularly to solutions containing Ca 2 (cid:3) -free or 1 mM Ca 2 (cid:3) . In whole cell patch-clamp recordings, macroscopic current demonstrated outward rectiﬁcation, inhibitions by 4,4 = -diisothiocyano-2,2 = -stilbene-disulfonic acid (DIDS) and niﬂumic acid, and insensitivity to chlorotoxin. The outward current was reversibly reduced by 94% replacement of extracellular Cl (cid:2) with I (cid:2) , Br (cid:2) , or methanesulfonate (MsO (cid:2) ), resulting in anionic permeability sequence: Cl (cid:2) (cid:4) Br (cid:2) (cid:4) I (cid:2) (cid:4) MsO (cid:2) . While intracellular Ca 2 (cid:3) levels (0, 300 nM, and 1 mM) did not affect the amplitude of Cl (cid:2) current and outward rectiﬁcation, high Ca 2 (cid:3) slowed voltage-step current activation at depolarizing voltages. In conclusion, our data reveal for the ﬁrst time the presence of a Ca 2 (cid:3) -independent DIDS and niﬂumic acid-sensitive, voltage-depen-dent Cl (cid:2) channel in the plasma membrane of DSM cells. This channel may be a key regulator of DSM excitability.
On the finite-sample analysis of -estimators

In large-scale modern data analysis, first-order optimization methods are usually favored to obtain sparse estimators in high dimensions. This paper performs theoretical analysis of a class of iterative thresholding based estimators defined in this way. Oracle inequalities are built to show the nearly minimax rate optimality of such estimators under a new type of regularity conditions. Moreover, the sequence of iterates is found to be able to approach the statistical truth within the best statistical accuracy geometrically fast. Our results also reveal different benefits brought by convex and nonconvex types of shrinkage. MSC 2010 subject classifications: Primary 62J07, 90C26; secondary 68Q87.
Fusion of Active Appearance Model and Histogram of Oriented Gradient for Age Estimation

In recent years, automated age estimation through face images has attracted the interest among the research due to its variety applications in law enforcement, human computer interaction etc. This paper presents the fusion of Active Appearances Model (AAM) with Histo-gram of Oriented Gradients (HOG) to form the face descriptors for automatic age estimation. AAM and HOG are known to be reliable feature extraction techniques for shape and texture images. The weaknesses of both are minimized and the strengths of both are utilized in the proposed method for better age estimation model. The proposed method is evaluated using two benchmarked age estimation datasets and promising results is generated.
COVID-19 PANDEMIC AND ITS IMPACT

Novel corona virus was identified in Wuhan, a city of China at the end of 2019. Followed to rapid spread in China resulting in epidemic, increased number of cases was identified in other countries throughout the world. Measures taken to prevent the spread of infection of SARS CoV-2 virus have a significant impact on the health systems, economies and society as well all over the world. Health care workers are at significant risk for adverse psychological impact during the pandemic. The crisis of the pandemic has profound effect on children and chronic ill patients. Children are affected due to risk of infection, immediate socio economic impact and long term impacts of pandemic on the development. In addition to ensuring availability of essential medicines, chronic diseases which rely heavily on adherence to medical facility for need to be emphasised during outbreak. As for the health sector, restoring general medical services to full strength should be a primary goal, so that co morbid conditions can be checked to decrease future casualties due to COVID-19.
Calculation of Conversion Coefficient for Effective Dose to Patient and Physician in Interventional Cardiology Procedure Using the Monte Carlo Method

Radiation doses to patients and to medical staff from coronary angiography procedures are relatively high when compared to conventional radiographic procedures. Due to the long image obtainment time, the high doses of radiation can result in deterministic and stochastic effects. In this work, the effective and equivalent tissue doses for the patient and medical staff were calculated and normalized to kerma-area product, to produce kerma-area to an equivalent dose in tissue conversion coefficients for this procedure. Simulations were carried out for four X-ray spectra (60, 70, 80 and 90 kVp) using the radiation transport MCNPX2.7. 0 code. The physician in the standing position and the patient in the supine position were represented by a pair of adult mathematical anthropomorphic phantoms. The Conversion Coefficients (CCs) were obtained for irradiation geometry Antero-Posterior (AP), Postero-Anterior (PA), Left Anterior Oblique (LAO90º) and Right Anterior Oblique (RAO90º). The computational results demonstrated that the estimated organ dose values for the physician and patient vary significantly with the organ location and X-ray spectrum. The CCs of effective doses for the patient and physician determined in this study were compared to previous experimental and calculated results presented in the literature and found to be similar. (CCs) obtained in are to dosimetric quantities be obtained direct as the Kerma-Area Product (KAP), can be obtained from the ionization chamber installed in the X-ray equipment used in the procedure. the measured KAP, it to calculate the dose that patients and physician staff are exposed to during the coronary angiography procedure.
SARFA: S ALIENT AND R ELEVANT F EATURE A TTRIBUTION

As deep reinforcement learning (RL) is applied to more tasks, there is a need to visualize and understand the behavior of learned agents. Saliency maps explain agent behavior by highlighting the features of the input state that are most relevant for the agent in taking an action. Existing perturbation-based approaches to compute saliency often highlight regions of the input that are not relevant to the action taken by the agent. Our approach, SARFA generates more focused saliency maps by balancing two aspects (specificity and relevance) that capture different desiderata of saliency. The first captures the impact of perturbation on the relative expected reward of the action to be explained. The second downweighs irrelevant features that alter the relative expected rewards of actions other than the action to be explained. We compare SARFA with existing approaches on agents trained to play board games (Chess and Go) and Atari games (Breakout, Pong and Space Invaders). We show through illustrative examples (Chess, Atari, Go), human studies (Chess), and automated evaluation methods (Chess) that SARFA generates saliency maps that are more interpretable for humans than existing approaches.
THE PURDUE UNIVERSITY GRADUATE SCHOOL STATEMENT OF THESIS APPROVAL

Park Jee Hwan MS, Purdue University, August 2020. Grid-based Cyclic Multi-robot Allocation for Object Carrying. Major Professors: Galen King, Byung-Cheol Min. In this thesis, we are addressing new method of object transportation using multi-robot system. The new method of object transportation is called A grid-based cyclic robot allocation (GCRA) method which consists multiple spherical robots. The object is placed on top of group of spherical robots before the transportation. The rotation of the multiple spherical robots cause the displacement of the object and reach the goal location based on the direction and speed of the rotation of the robots. The GCRA method for spherical robots is proposed along with specific stability criterion, which designs the formation of the multi-robot system. The formation is created based on the customized grid which is to be modified based on the properties of the object. The shape and the center of gravity of the shape define the horizontal gap, gx and vertical gap, gy. All the possible locations of spherical robots is the cross points of grid which implies that gx and gy defines the distance between the robots and based on the boundary of the robots placed underneath the object, the condition of the stability is defined. It also identifies minimum number of robots required based on the arbitrary shape of an object for stable omni-directional translation of the object on a 2 dimensional space. The desired positions and formation of the robots is identified based goal position of the object. Under centralized system, position control is applied to drive the robots to the desired positions. The position control simultaneously makes the object mobile and maintain the stability of the object. Mathematical proof of the proposed method is shown verifying the stability of the transportation process with the assumptions of no slip between the robots and the object. 2 Dimensional Simulation results of robot allocation using GCRA for several arbitrary shapes certify the proposed method.
Impacts of founder management on the operational efficiency of enterprises in different regions in China

ABSTRACT Under the influence of the severe downturn in the global economic situation, China’s economy is currently in a difficult and long transition period. How an enterprise maintains high operational efficiency is especially important. As a key management position, the founder has a strong sense of corporate responsibility. Therefore, this study conducted an empirical analysis of the impact of founder management on the enterprises operational efficiency using data on private listed companies in China’s from 2010 to 2019. The results showed that founder management could improve the operational efficiency of enterprises compared with non-founder management. The economic gap between China’s western region and the central and eastern regions has not significantly improved, which will directly affect the development of private enterprises in the western region. We compared the enterprises in western region with non-western regions, and showed that enterprises managed by founders in the western region, compared with those in non-western regions, have reduced positive effects of founder management on their operating efficiency. In China, these conclusions have important theoretical value and practical significance for clarifying the relationship between founder management and operating efficiency because the system is different from that of western countries.
TCPS: a task and cache-aware partitioned scheduler for hard real-time multi-core systems

Shared caches in multi-core processors seriously complicate the timing verification of real-time software tasks due to the task interference occurring in the shared caches. Explicitly calculating the amount of cache interference among tasks and cache partitioning are two major approaches to enhance the schedulability performance in the context of multi-core processors with shared caches. The former approach suffers from pessimistic cache interference estimations that subsequently result in suboptimal schedulability performance, whereas the latter approach may increase the execution time of tasks due to a lower cache usage, also degrading the schedulability performance. In this paper, we propose a heuristic partitioned scheduler, called TCPS, for real-time non-preemptive multi-core systems with partitioned caches. To achieve a high degree of schedulability, TCPS combines the benefits of partitioned scheduling, relieving the computing resources from contention, and cache partitioning, mitigating cache interference, in conjunction with exploiting task characteristics. A series of comprehensive experiments were performed to evaluate the schedulability performance of TCPS and compare it against a variety of global and partitioned scheduling approaches. Our results show that TCPS outperforms all of these scheduling techniques in terms of schedulability, and yields a more effective cache usage and more stable load balancing.
A multimodal emotion recognition model based on deep neural network with cross-media data feature fusion

Affective computing is an interdisciplinary research area that includes machine learning and pattern recognition, psychology, and cognitive science. The aim is to research and develop theories, methods and systems that can recognize, interpret, process and simulate human emotions. In this article we propose a neural network model for multimodal emotion recognition based on cross-media data-feature fusion. Multimodal data fusion can effectively improve the accuracy of emotion recognition. We extract features from EEG data and facial images using a deep double-stream neural network and then merge them in a medium-term feature layer to identify three categories of emotions (sadness, calm, and happiness). The experimental results show that the detection accuracy can reach over 95%. Compared to the traditional single-modal emotion recognition method, the accuracy rate of emotion recognition based on EEG data and facial images has been significantly improved. It also proves that the multimodal medium-term feature layer fusion method has good applicability for emotion recognition.
CRITICAL SUCCESS FACTORS IN ERP INFOR SYSTEM IMPLEMENTATION AT PT. BALRICH LOGISTICS

Abstract. Enterprise Resource Planning (ERP) systems have become vital strategic tools in today‟s competitive business environment. This research attempts to identify the most ERP Critical Success Factors (CSF) from some literature which is suitable for PT. Balrich Logistics and to measure impact of each factor in order to have a better understanding and a clearer picture of the factors that are considered to be vital for a successful ERP INFOR implementation at PT. Balrich Logistics. The sample of this research consisted of the user who implemented ERP systems. Data collected through a questionnaire which distribution to 80 people. Research carried out by using Structural Equation Modeling (SEM) which was run by AMOS Program. The results of this research showed that vendor support is the vital variable for supporting the successful implementation of ERP systems, and then followed by other variables sorted by score from highest to lowest, namely: top management support, education and training, suitability of software and hardware with company need, and the last one is effective project management. Theoretical implications and suggestions for the company from this study have been elaborated at the end of this study Keywords: ERP, Top Management, Project Management, Software and Hardware, Education and Training, Vendor, SEM
Prophylactic thoracic duct obliteration and resection during esophagectomy: What is the impact on perioperative risks and long‐term survival? A systematic review and meta‐analysis

There is no agreement whether prophylactic thoracic duct ligation (TDL), with or without resection, during esophagectomy for patients with cancer is beneficial. The effects of these procedures on postoperative complications and overall survival remain unclear. This systematic review included 16 articles. TDL did not influence short‐ and long‐term outcomes. However, thoracic duct resection increased postoperative chylothorax and overall complications, with no improvement in survival.
Timing of resection of synchronous colorectal liver metastasis: A systematic review and meta‐analysis

The resection of the primary colorectal tumor and liver metastases is the only potentially curative strategy. In such cases, there is no consensus on whether the resection of the primary tumor and metastases should be performed simultaneously or whether a staged approach should be performed (resection of the primary tumor and after, hepatectomy, or the “liver first” approach). The aim of this study is to evaluate the results of hepatectomy associated with colectomy in colorectal neoplasms, comparing simultaneous and staged resection.