Miracle-dz/UniFAR-FTUs huggingface dataset:
After-Sales Service and HRM Strategies for Small Appliances Enterprises: Creating a Sustainable Competitive Advantage for SUNHOW in Taiwan

The small appliance industry is a completely mature industry. Its functional products are always with a long life cycle. If a corporation wants to make its brand keep sustainable development, it needs to pursue good After-Sales Service strategies so as to keep the value of its products long or forever. However, conventional After-Sales Service has been a serious financial black hole or expense for the small appliance industry, and is hard to control. With many depth interviews, this study was done through the researcher¡¦s 15-year experiences and participant observation for their after-sales strategies of six operators of the small appliance Enterprises. Then the study tries to deal with the research, analysis, coordination, and summary of the After-Sales Service and HRM strategies for SH company, SH has existed in the small appliance industry for over 20 years. According to its entrepreneurial characteristics, it develops its customer-first core theme mode for fix-up and After-Sales Service. Through effective HRM strategies, SH has made its customer services reasonable, standardized, and simplified, which effectively enhance its service efficiency and lower down its corporate average management cost, and ensure its leadership position. The study also provides suggestions to researchers, other corporations, and small appliance industry companies in making after-sales strategies.
Parecoxib Reduces Systemic Inflammation and Acute Lung Injury in Burned Animals with Delayed Fluid Resuscitation

Burn injuries result in the release of proinflammatory mediators causing both local and systemic inflammation. Multiple organ dysfunctions secondary to systemic inflammation after severe burn contribute to adverse outcome, with the lungs being the first organ to fail. In this study, we evaluate the anti-inflammatory effects of Parecoxib, a parenteral COX-2 inhibitor, in a delayed fluid resuscitation burned rat model. Anaesthetized Sprague Dawley rats were inflicted with 45% total body surface area full-thickness scald burns and subsequently subjected to delayed resuscitation with Hartmann's solution. Parecoxib (0.1, 1.0, and 10 mg/kg) was delivered intramuscularly 20 min after injury followed by 12 h interval and the rats were sacrificed at 6 h, 24 h, and 48 h. Burn rats developed elevated blood cytokines, transaminase, creatinine, and increased lung MPO levels. Animals treated with 1 mg/kg Parecoxib showed significantly reduced plasma level of CINC-1, IL-6, PGEM, and lung MPO. Treatment of 1 mg/kg Parecoxib is shown to mitigate systemic and lung inflammation without significantly affecting other organs. At present, no specific therapeutic agent is available to attenuate the systemic inflammatory response secondary to burn injury. The results suggest that Parecoxib may have the potential to be used both as an analgesic and ameliorate the effects of lung injury following burn.
Clinical picture Reverse halo sign in pulmonary mucormyosis Learning Point for Clinicians

Reverse halo sign (RHS), also called the atoll sign, was described as a rim of consolidation surrounding a center of ground-glass opacity on computed tomography (CT). Although RHS was previously considered as non-specific sign for various disorders, recent study showed that it is a strong indicator of pulmonary mucormycosis (PM). We present a case of PM with typical imaging presentation on CT, which highlights the importance of RHS in predicting PM, especially in patients with acute leukemia and immunocompromised status.
Detecting Communities on Topic of Transportation With Sparse Crowd Annotations

Social networks contain a large amount of information on transportation, e.g., traffic accidents, congestions, and vehicles. Such information is the original ideas of people with respect to real-world transportation issues, and detecting communities on the topic of transportation from the information will benefit many ITS applications. However, real-world social network nodes often contain multiple attributes, and the network can be very large. The two properties can lead to confusion and unscalability problem to clustering methods. In this paper, we propose a semisupervised method, namely, <inline-formula><tex-math notation="LaTeX">$\underline{Tra}$</tex-math></inline-formula>nsportation <inline-formula><tex-math notation="LaTeX">$\underline{C}$</tex-math></inline-formula>ommunity <inline-formula><tex-math notation="LaTeX">$\underline{De}$</tex-math></inline-formula>tection (TRACED), to address this problem. TRACED allows multiple individuals to select their familiar nodes as the participants of a certain community, and thus, the confusion of multiple attributes can be largely reduced. Moreover, the proposed method can be expanded to large networks since it is able to conduct an effective clustering with low time complexity. With the help of TRACED, we can detect densely connected communities on the topic of transportation for further studies.
Neuroimaging in Investigation of Patients With Epilepsy

Purpose of Review: This review discusses the MRI and functional imaging findings in patients with focal seizures, practical ways to improve the detection of subtle lesions, and limitations and pitfalls of the various imaging techniques in this context.Recent Findings: A proper MRI investigation of patients with focal epilepsy requires the use of specific protocols, selected based on identification of the region of onset by clinical and EEG information. For practical purposes, the focal epilepsies are divided here into mesial temporal lobe epilepsies and neocortical epilepsies. The majority of patients with mesial temporal lobe epilepsies associated with hippocampal sclerosis undergoing presurgical evaluation will have a clear-cut unilateral atrophic hippocampus with increased T2 signal and a normal-appearing contralateral hippocampus. Among the several types of neocortical lesions, focal cortical dysplasias deserve especial attention because these lesions are often missed on routine MRIs. The focal cortical dysplasias include a gradient of morphologic changes from dysplastic lesions that can be easily identified by conventional MRI techniques to minor structural abnormalities with small areas of discrete cortical thickening and blurring of the gray/white matter interface that often go unrecognized.Summary: The use of MRI protocols targeted for the study of patients with epilepsy allows the diagnosis of the etiology of epilepsy in most patients with focal seizures. However, in a considerable number of patients with epilepsy, MRI results are considered normal. Although the etiology remains unclear in these cases, the malformations of cortical development (mainly focal cortical dysplasias) have been identified as most likely pathologic substrates. The effort involved in trying to increase the detection of these “invisible” lesions involves the improvement of structural imaging techniques and the combination of metabolic and functional studies, including 18F-fluorodeoxyglucose–positron emission tomography (18F-FDG-PET), ictal single-photon emission computed tomography (SPECT), diffusion MRI, and magnetic resonance spectroscopy (MRS). The methods used to enhance the detection of subtle cortical abnormalities by improving the structural images have addressed two basic aspects of the examination by MRI: signal acquisition and imaging postprocessing.
An empirical study on the usage of testability information to fault localization in software

When failures occur during software testing, automated software fault localization helps to diagnose their root causes and identify the defective statements of a program to support debugging. Diagnosis is carried out by selecting test cases in such way that their pass or fail information will narrow down the set of fault candidates, and, eventually, pinpoint the root cause. An essential in gredient of effective and efficient fault localization is knowledge about the false negative rate of tests, which is related to the rate at which defective statements of a program will exhibit failures. In current fault localization processes, false negative rates are either ignored completely, or merely estimated a posteriori as part of the diagnosis. In this paper, we study the reduction in diagnosis effort when false negative rates are known a priori. We deduce this information from testability, following the propagation-infection-execution (PIE) approach. Experiments with real programs suggest significant improvement in the diagnosis process, both in the single and the multiple-fault cases. When compared to the next-best technique, PIE-based false negative rate information yields a fault localization effort reduction of up to 80% for systems with only one fault, and up to 60% for systems with multiple faults.
A black hen lays white eggs. Bipartite multiplier out of Montgomery one for on-line RSA verification

This paper proposes novel algorithms for computing double- size modular multiplications with few modulus-dependent precomputations. Low-end devices such as smartcards are usually equipped with hardware Montgomery multipliers. However, due to progresses of mathematical attacks, security institutions such as NIST have steadily demanded longer bit-lengths for public-key cryptography, making the multipliers quickly obsolete. In an attempt to extend the lifespan of such multipliers, double-size techniques compute modular multiplications with twice the bit-length of the multipliers. Techniques are known for extending the bit-length of classical Euclidean multipliers, of Montgomery multipliers and the combination thereof, namely bipartite multipliers. However, unlike classical and bipartite multiplications, Montgomery multiplications involve modulus-dependent precomputations, which amount to a large part of an RSA encryption or signature verification. The proposed double-size technique simulates double-size multiplications based on single-size Montgomery multipliers, and yet precomputations are essentially free: in an 2048-bit RSA encryption or signature verification with public exponent e = 2/sup 16/ + 1, the proposal with a 1024-bit Montgomery multiplier is 1.4 times faster than the best previous technique.
Light propagation and large-scale inhomogeneities

We consider the effect on the propagation of light of inhomogeneities with sizes of order 10 Mpc or larger. The Universe is approximated through a variation of the Swiss-cheese model. The spherical inhomogeneities are void-like, with central underdensities surrounded by compensating overdense shells. We study the propagation of light in this background, assuming that the source and the observer occupy random positions, so that each beam travels through several inhomogeneities at random angles. The distribution of luminosity distances for sources with the same redshift is asymmetric, with a peak at a value larger than the average one. The width of the distribution and the location of the maximum increase with increasing redshift and length scale of the inhomogeneities. We compute the induced dispersion and bias of cosmological parameters derived from the supernova data. They are too small to explain the perceived acceleration without dark energy, even when the length scale of the inhomogeneities is comparable to the horizon distance. Moreover, the dispersion and bias induced by gravitational lensing at the scales of galaxies or clusters of galaxies are larger by at least an order of magnitude.
Continuous Dependence Estimates for Nonlinear Fractional Convection-diffusion Equations

We develop a general framework for finding error estimates for convection-diffusion equations with nonlocal, nonlinear, and possibly degenerate diffusion terms. The equations are nonlocal because they involve fractional diffusion operators that are generators of pure jump Levy processes (e.g., the fractional Laplacian). As an application, we derive continuous dependence estimates on the nonlinearities and on the Levy measure of the diffusion term. Estimates of the rates of convergence for general nonlinear nonlocal vanishing viscosity approximations of scalar conservation laws then follow as a corollary. Our results both cover and extend to new equations a large part of the known error estimates in the literature.
An Effective C, C++, PHP, Perl, Ruby, Python Compiler using Cloud Computing

Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and unconfined with minimal management effort. Our work mainly targets the learning community by providing an efficient cloud compiler as SaaS by coalescing the two major concepts called cloud computing and open source which helps to diminish the troubles of portability, compatibility, power and storage space by making use of the concept of cloud compiler. The basic underlying architecture to deploy a cloud compiler is the establishment of private cloud under linux environment, which provides hosted services to a limited number of people and the service is distributed in the heterogeneous manner. Private cloud makes the cloud infrastructure based on Ubuntu Enterprise Cloud (UEC) scalable as per the requirement. And our cloud compiler allows a programmer to pick up the fastest or the most convenient tool to compile the code and remove the errors. The validity of our approach is then verified with the experimental results. Also we have made a performance analysis and the experimental results shows that the performance of cloud compiler is more efficient compared to all other normal compiler. Hence our proposed cloud compiler is considered to be the best performers among the various compilers.
Early postoperative intraperitoneal chemotherapy as an adjuvant therapy to surgery for peritoneal carcinomatosis from gastrointestinal cancer: pharmacological studies.

Gastrointestinal malignancy may spread to peritoneal surfaces in the absence of lymphatic or hematogenous metastases. To treat peritoneal carcinomatosis, a uniformly lethal disease process, extensive cytoreductive surgery and i.p. chemotherapy were combined. Early postoperative i.p. chemotherapy was instilled in the first few days after the surgical procedure in an attempt to treat anatomic sites that would be sealed off by postoperative adhesions. Mitomycin C was given on the first postoperative day at two doses, 10 and 12 mg/m2. 5-Fluorouracil was given on postoperative days 2-5 at 15 and 20 mg/kg, respectively. Median area under the curve ratio i.p./i.v. was 117 for 5-fluorouracil and 21.6 for mitomycin C. Elevated intraportal levels of drug were observed for i.p. 5-fluorouracil but not for mitomycin C. The marked pharmacokinetic advantage of postoperative i.p. suggests that this treatment strategy should be considered in a clinical trial in patients at risk for progression of peritoneal carcinomatosis.
Memory priming during light anaesthesia with desflurane and remifentanil anaesthesia.

BACKGROUND Previous studies of memory priming during anaesthesia with EEG monitoring have observed implicit memory effects for words presented during light and deep anaesthesia with and without surgical stimulation. We hypothesized that memory priming occurs under each of five different combinations of anaesthesia and surgery, and no significant differences occur in memory priming among the five conditions or between the two test points such as, 12 vs 24 h after surgery. METHODS Forty gynaecological patients (aged between 28 and 66 yr, median 44.5 yr) were included in the study. They received propofol and remifentanil induction followed by desflurane and remifentanil anaesthesia in conjunction with neuromuscular blocking agents. Each patient was exposed to 60 of 120 nouns in a double-blind randomized design. These 60 nouns were divided into 5 groups of 12 words, presented under one of the five different conditions, namely, intubation, skin incision, deep anaesthesia and moderate anaesthesia (both during surgery), and light anaesthesia during the emergence phase. The depth of anaesthesia was measured using the EEG monitor, Narcotrend. RESULTS No explicit memories were observed in a free recall or in a yes-no recognition test. A word-stem completion test revealed a significant implicit priming only for light anaesthesia (P < 0.01). No significant differences were detected among the five conditions. An overall implicit memory effect occurred for the second test point (P < 0.05). CONCLUSIONS Our hypotheses could not be verified. Implicit memory priming occurred only under light anaesthesia, when the patients were most probably conscious. Priming effects may be enhanced after night's sleep.
An emerging need for developing new models for myocardial infarction as a chronic complex disease: lessons learnt from animal vs. human studies on cardioprotective effects of Erythropoietin in reperfused myocardium

A large number of studies are currently focused on diagnosis, prevention, and treatment of complex disorders. Animal studies are generally utilized as basic models for in-vivo studies and support subsequent clinical trials. Although animal models have so far been fruitful in understanding the mechanism of several diseases and testing the likely prevention and treatment strategies; some of them do not appropriately mimic complex disorders. There is an emerging need for developing new models for chronic complex diseases. Simplifying a complex system is needed for studying the basis of a complex phenomenon (i.e., Gregor Johann Mendel studies on Pisum sativum to discover genetic inheritance roles); however, these models do not reflect all aspects of a complex system (i.e., epistasis or inter/intra-allelic gene suppression). When an animal model is used as the basis of a clinical trial, it is needed to mimic all complex features of the patients. Myocardial infarction (MI) as a leading cause of mortality and morbidity worldwide has been extensively studied in medicine. MI is an acute phenomenon; however usually it comes after a prolonged period of atherosclerosis which is accompanied by hypoperfusion, hypoxia, and probably degrees of heart failure. As a matter of fact acute MI is the final sequence of the atherosclerosis as a chronic process. Animal models of MI generally do not completely mimic MI process. Although atherosclerosis models are currently available (Fuster et al., 2012; Getz and Reardon, 2012), usually MI animal models are surgically mimicked by clumping-reperfusion process (Moon et al., 2003, 2006; Prunier et al., 2007; Doue et al., 2008; Roubille et al., 2013b). Here, as an example, I have tried to discuss the paradoxical positive results of animal studies on protective effects of Erythropoietin (EPO) administration in reperfused myocardium vs. negative consequences in clinical setting. It seems that the main fault has been occurred in MI modeling for EPO treatment at the level of animal experimental studies, and followed imprecisely without considering the nature of EPO as a cytokine which is naturally secreted in human, and the pathophysiologic state of EPO and EPO receptor in atherosclerotic patients. This article will emphasize on the need of developing new models for MI which mimic its complex character rather than criticizing studies on cardioprotective effects of EPO after percutaneous coronary intervention (PCI) in MI.
Fine Microaneurysm Detection from Non-dilated Diabetic Retinopathy Retinal Images Using a Hybrid Approach

Microaneurysms are the first clinical sign of diabetic retinopathy, a major cause of vision loss in diabetic patients. Early microaneurysm detection can help reduce the incidence of blindness. Automatic detection of microaneurysms is still an open problem due to their tiny sizes, low contrast and also similarity with blood vessels. It is particularly very difficult to detect fine microaneurysms, especially from non-dilated pupils and that is the goal of this paper. The process in this paper has two main segmentation steps. They are coarse segmentation using mathematic morphology and fine segmentation using naive Bayes classifier. A total of 18 microaneurysms features are proposed in this paper and they are extracted for naive Bayes classifier. The detected microaneurysms are validated by comparing at pixel level with ophthalmologists' hand-drawn ground-truth.
"Cool" Load Balancing for High Performance Computing Data Centers

As we move to exascale machines, both peak power demand and total energy consumption have become prominent challenges. A significant portion of that power and energy consumption is devoted to cooling, which we strive to minimize in this work. We propose a scheme based on a combination of limiting processor temperatures using dynamic voltage and frequency scaling (DVFS) and frequency-aware load balancing that reduces cooling energy consumption and prevents hot spot formation. Our approach is particularly designed for parallel applications, which are typically tightly coupled, and tries to minimize the timing penalty associated with temperature control. This paper describes results from experiments using five different Charm++ and MPI applications with a range of power and utilization profiles. They were run on a 32-node (128-core) cluster with a dedicated air conditioning unit. The scheme is assessed based on three metrics: the ability to control processors' temperature and hence avoid hot spots, minimization of timing penalty, and cooling energy savings. Our results show cooling energy savings of up to 63 percent, with a timing penalty of only 2-23 percent.
Optimal Time-Consistent Macroprudential Policy

Collateral constraints widely used in models of financial crises feature a pecuniary externality: Agents do not internalize how borrowing decisions made in “good times” affect collateral prices during a crisis. We show that under commitment the optimal financial regulator’s plans are time inconsistent and study time-consistent policy. Quantitatively, this policy reduces sharply the frequency and magnitude of crises, removes fat tails from the distribution of asset returns, and increases social welfare. In contrast, constant debt taxes are ineffective and can be welfare reducing, while an optimized “macroprudential Taylor rule” is effective but less so than the optimal time-consistent policy.
Debugging Program Loops using Approximate Modeling Tracking Number C 0777

Developing model-based automatic debugging strategies has been an active research area for several years. We analyze shortcomings of previous modeling approaches when dealing with objectoriented languages and present a revised modeling approach. We employ Abstract Interpretation, a technique borrowed from program analysis, to improve the debugging of programs including loops, recursive procedures, and heap data structures. Together with heuristic model refinement, our approach delivers superior results than the previous models. The principle of our approach is demonstrated on a set of examples.