Miracle-dz/UniFAR-FTUs huggingface dataset:
A Systematic Characterization of Mitochondrial Proteome from Human T Leukemia Cells*S

Global understanding of tissue-specific differences in mitochondrial signal transduction requires comprehensive mitochondrial protein identification from multiple cell and tissue types. Here, we explore the feasibility and efficiency of protein identification using the one-dimensional gel electrophoresis in combination with the nano liquid-chromatography tandem mass spectrometry (GeLC-MS/MS). The use of only 40 μg of purified mitochondrial proteins and data analysis using stringent scoring criteria and the molecular mass validation of the gel slices enables the identification of 227 known mitochondrial proteins (membrane and soluble) and 453 additional proteins likely to be associated with mitochondria. Replicate analyses of 60 μg of mitochondrial proteins on the faster scanning LTQ mass spectrometer validate all the previously identified proteins and most of the single hit proteins except the 81 single hit proteins. Among the identified proteins, 466 proteins are known to functionally participate in various processes such as respiration, tricarboxylic acid cycle (TCA cycle), amino acid and nucleotide metabolism, glycolysis, protection against oxidative stress, mitochondrial assembly, molecular transport, protein biosynthesis, cell cycle control, and many known cellular processes. The distribution of identified proteins in terms of size, pI, and hydrophobicity reveal that the present analytical strategy is largely unbiased and very efficient. Thus, we conclude that this approach is suitable for characterizing subcellular proteomes form multiple cells and tissues.
Etiology of severe sensorineural hearing loss in children: independent impact of congenital cytomegalovirus infection and GJB2 mutations.

BACKGROUND Sensorineural hearing loss (SNHL) is the most common congenital disease. Longitudinal studies of infants with congenital cytomegalovirus (CMV) infection have demonstrated an association between CMV and SNHL. However, because of the lack of suitable neonatally collected specimens, the proportion of CMV-associated SNHL has not been defined, nor has the relationship between CMV and the major genetic causes of SNHL, such as mutations in the GJB2 gene. METHODS Sixty-seven children with severe SNHL were analyzed for CMV and human herpesvirus 6 (HHV-6) infections and for GJB2 mutations. DNA specimens were prepared from dried umbilical cords, which are available for everyone born in Japan. Four children with typical symptomatic infection at birth served as positive control subjects. RESULTS Congenital CMV infection and GJB2 mutations were identified in 15% and 24% of the patients, respectively. HHV-6 was not detected. All children with CMV-associated cases developed SNHL before they were 2 years old. Most children with CMV-associated SNHL had no obvious clinical abnormality at birth, and their viral loads were lower than those of symptomatic children. CONCLUSIONS Congenital CMV infection is an important cause of severe SNHL, and it has an incidence comparable to that of GJB2-associated SNHL.
The Effect of Marketer-Suggested Serving Size on Consumer Responses: The Unintended Consequences of Consumer Attention to Calorie Information

Nutritional labels are mandatory on virtually all packaged food items sold in the United States. The nutritional information on these labels is reported on a “per-serving-size” basis. However, unbeknownst to many consumers, current Food and Drug Administration regulations allow manufacturers some discretion in setting serving sizes—a factor that the authors hypothesize has implications for consumer behavior. For example, adopting a smaller serving size allows marketers to reduce the reported calories, fat, sugar, and carbohydrates in a product serving, which in turn can influence the anticipated consequences of consumption. Three studies show that manipulating the serving size, and thus calories per serving, for equivalent consumption amounts influences the anticipated guilt of consumption, purchase intentions, and choice behavior. However, the results also show that individual difference and context variables, which heighten consumer attention to nutritional information in general, often focus attention on calorie information but not serving size. This leads to the counterintuitive finding that more nutritionally vigilant consumers are more heavily influenced by serving size manipulations. The authors discuss the managerial and public policy implications.
Real-time system design tools for RTO.e (real-time object.extended)

This paper presents an approach to developing Real-time Dependable Systems (RDSs) based on a real-time object model. A system development process can be divided into two phases, that is, Specification Phase and Construction Phase. In the Specification Phase, especially for an RDS, system requirements are decomposed into a group of Real-Time Objects (RTOs) and appropriate objects are identified by means of a decomposition scheme such as Multi-Dimensional Decomposition (MDD). In the Construction Phase, the identified objects are instantiated and combined. RTO.e, which is an extension of the RTO.k model proposed earlier by Kim and Kopetz (1994), plays the role of a connector and also that of a firewall between the two phases. In this paper, we present design tools that are required in developing RDSs. The tools provide a seamless system implementation method and an information base that can be utilized through the development process.
Energy Efficient Sensor Activation for Water Distribution Networks Based on Compressive Sensing

The recent development of low cost wireless sensors enables novel internet-of-things (IoT) applications, such as the monitoring of water distribution networks. In such scenarios, the lifetime of the wireless sensor network (WSN) is a major concern, given that sensor node replacement is generally inconvenient and costly. In this paper, a compressive sensing-based scheduling scheme is proposed that conserves energy by activating only a small subset of sensor nodes in each timeslot to sense and transmit. Compressive sensing introduces a cardinality constraint that makes the scheduling optimization problem particularly challenging. Taking advantage of the network topology imposed by the IoT water monitoring scenario, the scheduling problem is decomposed into simpler subproblems, and a dynamic-programming-based solution method is proposed. Based on the proposed method, a solution algorithm is derived, whose complexity and energy-wise performance are investigated. The complexity of the proposed algorithm is characterized and its performance is evaluated numerically via an IoT emulator of water distribution networks. The analytical and numerical results show that the proposed algorithm outperforms state-of-the-art approaches in terms of energy consumption, network lifetime, and robustness to sensor node failures. It is argued that the derived solution approach is general and it can be potentially applied to more IoT scenarios such as WSN scheduling in smart cities and intelligent transport systems.
Responsiveness to anti-TNFα therapy is related to pre-treatment tissue inflammation levels in Rheumatoid Arthritis patients

Objective: The response of rheumatoid arthritis (RA) patients to treatment with neutralizing antibodies to TNFα is highly variable. The underlying mechanism for therapy responsiveness is currently unknown. We therefore evaluated the relationship between baseline molecular profiles of synovial tissues from RA patients and the clinical response to treatment with infliximab. Methods: Synovial biopsies were obtained by arthroscopy from 18 RA patients with active disease (DAS28 ≥ 3.2) before initiation of treatment with infliximab. All patients were on stable methotrexate treatment. Clinical response at 16 weeks was defined as a reduction in DAS28 of ≥ 1.2, non-response as reduction in DAS28 Results: A total of 12 patients responded to therapy, while 6 patients failed to fulfil the response criteria. We identified several biological processes, related to inflammation, which were upregulated in patients who responded to therapy, compared to those who did not show clinical improvement. Conclusion: These results indicate that patients with a high level of tissue inflammation are more likely to benefit from anti-TNFα treatment.
Statistical Analysis of the Use and Impact of Government Business Programs

This paper uses statistical evidence from a unique longitudinal data set for Australian firms to examine the use and impact of some major R&D and export facilitation programs from 1994-98. The programs examined included the EMDG (Export Market Development Grants) scheme, Export Access, Austrade services, ITES (International Trade Enhancement Scheme) (now discontinued), the R&D tax concession and R&D grants. The paper examines the attributes of firms that participate in government business programs, their patterns of use and the effects these programs have on their performance.
Overview of Pharmacokinetics

In addition to having selective potency against the molecular target(s), a compound must be able to reach its intended site of action in vivo in sufficient quantity and for the appropriate duration of time to exert a biological effect. The fate of a compound after in vivo administration depends upon its absorption, distribution, metabolism, and excretion (ADME), as well as its target residence time. The concentration of the compound in the blood, plasma, and other tissues represents the sum of all of these processes. Described in this unit are protocols for administering a compound by various routes to rats and for collecting the appropriate samples to determine the pharmacokinetics profile. The basic terms used in pharmacokinetics studies are defined, and representative examples are given to illustrate important variables to consider. Curr. Protoc. Pharmacol. 66:7.1. 1‐7.1. 31. © 2014 by John Wiley & Sons, Inc.
Selection of Multi-Genre Broadcast Data for the Training of Automatic Speech Recognition Systems

Copyright © 2016 ISCA. This paper compares schemes for the selection of multi-genre broadcast data and corresponding transcriptions for speech recognition model training. Selections of the same amount of data (700 hours) from lightly supervised alignments based on the same original subtitle transcripts are compared. Data segments were selected according to a maximum phone matched error rate between the lightly supervised decoding and the original transcript. The data selected with an improved lightly supervised system yields lower word error rates (WERs). Detailed comparisons of the data selected on carefully transcribed development data show how the selected portions match the true phone error rate for each genre. From a broader perspective, it is shown that for different genres, either the original subtitles or the lightly supervised output should be used for model training and a suitable combination yields further reductions in final WER.
Research on Enterprise Tolerance based on the Uncertain Environment

The enterprise tolerance is study the enterprise's bearing capacity and reaction capacity when faced the uncertainty environment,it has two close relationed main points:First is critical point in enterprise's development.It refers to turning point caused by indefinite environment during the enterprise's development.second is tolerance.This article first introduced the connotation of the uncertainty environment and the tolerance,next elaborated the relationship between critical point and enterprise's tolerance.Then used catastrophe theory forecast the critical point in the enterprise's development.Finally gave the tolerance evaluation model and method,and forecast the enterprise tolerance's prospects for development.
Decoupled Z-axis Microgyroscope Using Oblique Comb for Frequency Tuning

This paper presents a novel decoupled microgyroscope. The oblique comb electrode within the device has the ability to tune the frequency of the sensing mode. The simulation results show that the driving mode and the sensing mode are well decoupled. The measurement results show that with the dc voltage of 21 V, the sensing mode frequency can be tuned about 51 Hz.
The Influence of Service Recovery Evaluation on Customer Post-Complaint Behavior

Several studies have focused on the influence of service recovery efforts on customers’ post-complaint responses. However, customer outcomes consisting of responses that can lead to long-term buyer-seller relationships have not been thoroughly investigated. Using a customer sample in an emerging economy,Chile, this paper studies the relationship between service recovery evaluation (SRE) and a long-term customer post-complaint behavior (LTC-PCB) consisting of customer trust, relationship commitment, and loyalty. With regard to SRE dimensions, the study shows that compensation and employee behavior are directly related to trust and indirectly related to both commitment and loyalty. The study also shows that another dimension, promptness, is not significant for customers. In other words, customers do not give great importance to the amount of time that companies take to handle complaints as long as the complaints are resolved.
Zoning Aggregated Hypercolumns for Keyword Spotting

In this paper we present a novel descriptor and method for segmentation-based keyword spotting. We introduce Zoning-Aggregated Hypercolumn features as pixel-level cues for document images. Motivated by recent research in machine vision, we use an appropriately pretrained convolutional network as a feature extraction tool. The resulting local cues are subsequently aggregated to form word-level fixed-length descriptors. Encoding is computationally inexpensive and does not require learning a separate feature generative model, in contrast to other widely used encoding methods (such as Fisher Vectors). Keyword spotting trials on machine-printed and handwritten documents show that the proposed model gives very competitive results.
Weak subtyping-yet another notion of inheritance

Reuse in polymorphic systems strongly depends on correct use of inheritance. There have been many efforts to check whether or not subtyping is correct. All of these approaches either restrict the use of inheritance customize the class hierarchies in an application specific way or use proof theoretical techniques. This is often too restrictive or even impossible-at least for practical use. In order to provide both flexibility and robustness the paper introduces the concept of weak conformance. This concept allows the specification of specialized classes that may be used in a polymorphic context. The main idea is to check conformance in the context of a concrete application. Furthermore, the paper demonstrates how the proposed concept can easily be integrated into any programming language and introduces an algorithm for checking robustness of an application. This algorithm detects all critical and illegal polymorphic method calls that may violate the robustness. Finally the paper discusses ways of handling critical calls, i.e., calls that can be proven correct by the developer but not by the type system.
Sexual functions and depressive symptoms after photodynamic therapy for vulvar lichen sclerosus in postmenopausal women from the Upper Silesian Region of Poland.

INTRODUCTION Although lichen sclerosus (LS) may affect women's physical functioning, mood, and quality of life, restricting their physical activities, sexual, and non-sexual contacts, there are limited data on the sexual functioning of women diagnosed with LS. AIMS The aim of the study was to evaluate the influence of photodynamic therapy for vulvar LS on sexual functions and depressive symptoms in postmenopausal women from the Upper Silesian Region of Poland. METHODS A total of 65 women aged 50-70 visiting an outpatient clinic for assessment of vulvar dermatoses were screened for the clinical trial. Finally, 37 women who met all the inclusion/exclusion criteria were included in the study. All the subjects were treated by topical laser therapy (photodynamic therapy). Sexual functions and depressive symptoms were assessed before and after the therapy using Female Sexual Function Index and Beck Depression Inventory, respectively. MAIN OUTCOME MEASURES Sexual behaviors, sexual functions, and depressive symptoms in females after photodynamic therapy for vulvar LS. RESULTS The total FSFI score was significantly lower after the treatment of vulvar LS as compared with the baseline (median 24.6 vs. 15.9). However, the prevalence of clinically significant FSD was stable throughout the medical intervention except lubrication disorders (higher prevalence after the treatment: 40% vs. 68.57%). Although the scores of BDI at the baseline dropped significantly after the photodynamic therapy (median 12.0 and 9.0, respectively), there were no significant differences in the prevalence of depressive symptoms (48.65% vs. 45.94%). CONCLUSIONS Topical laser therapy for vulvar LS has a good clinical outcome, especially in the context of no major negative effects on sexual functioning and the positive impact on the severity of depressive symptoms in postmenopausal women. However, patients should be informed about the possible lubrication disorders following the treatment.
Learning Speed Enhancement of Iterative Learning Control with Advanced Output Data based on Parameter Estimation

Learning speed enhancement is one of the most important issues in learning control. If we can improve both learning speed and tracking performance, it will be helpful to the applicability of learning control. Considering these facts, in this paper, we propose a learning speed enhancement scheme for iterative learning control with advanced output data (ADILC) based on parameter estimation. We consider linear discrete-time non-minimum phase (NMP) systems, whose model is unknown, except for the relative degree and the number of NMP zeros. In each iteration, estimates of the impulse response are obtained from input-output relationship. Then, learning gain matrix is calculated from the estimates, and by using new learning gain matrix, learning speed can be enhanced. Simulation results show that the learning speed has been enhanced by applying the proposed method.
Effective Business Plan Evaluation using an Evolutionary Ensemble

The paper proposes the use of evolving intelligent techniques, for effective business decision making related to strategic management. Under the current competitive environment, business plans appraisal arises as an important task for bankers, investors, venture capital fund managers and consultants among others. The process of business plans assessment requires various technical competencies, market awareness and adequate experience, thus increasing the relevant operating costs. A conceptual model for the evaluation of business plans is being proposed, with the use of both numerical and qualitative parameters, clustered under four headings. The input data is processed with the comparative use of ensembles of evolutionary classifiers, and an intelligent model of business plans’ appraisal is built. The reliability and the accuracy of the results are considered satisfactory by the subject matter experts.
The Case Of Apple, Inc., and Fintech: Managerial Psychology, Corporate Governance and Business Processes.

During 2009-2015, Apple defied all expectations and its reported announced operating performance exceeded all records (and were questioned by a few researchers). During 1990-2015 there was substantial debate about the nature and extent of earnings management by SP and surveys some of the interactions between Apple’s litigation and corporate governance policies; ii) explains how Apple may have perpetrated earnings management and asset quality management; iii) explains how actual/implied and perceived/un-perceived Strategic Alliance structures used in Apple’s corporate governance systems failed and facilitated earnings management and asset quality management by Apple; iv) explains why Accelerated Share Repurchase programs are problematic and why the generally accepted accounting methods for ASRs are wrong; v) explains why Dividend-Equivalent Rights may be illegal; vi) provides evidence of, and surveys endemic earnings management, asset-quality management and tax-evasion by SP vii) introduces new theories of Corporate Governance and Enterprise Risk Management.
Morphological changes induced in the pig kidney by extracorporeal shock wave lithotripsy: nephron injury.

While shock wave lithotripsy (SWL) is known to cause significant damage to the kidney, little is known about the initial injury to cells along the nephron. In this study, one kidney in each of six juvenile pigs (6-7 weeks old) was treated with 1,000 shock waves (at 24 kV) directed at a lower pole calyx with an unmodified HM-3 lithotripter. Three pigs were utilized as sham-controls. Kidneys were fixed by vascular perfusion immediately after SWL or sham-SWL. Three of the treated kidneys were used to quantitate lesion size. Cortical and medullary samples for light (LM) and transmission electron microscopy (TEM) were taken from the focal zone for the shock waves (F2), the contralateral kidney, and the kidneys of sham-SWL pigs. Because preservation of the tissue occurred within minutes of SWL, the initial injury caused by the shock waves could be separated from secondary changes. No tissue damage was observed in contralateral sham-SWL kidneys, but treated kidneys showed signs of injury, with a lesion of 0.2% +/- 0.1% of renal volume. Intraparenchymal hemorrhage and injury to tubules was found at F2 in both the cortex and medulla of SWL-treated kidneys. Tubular injury was always associated with intraparenchymal bleeding, and the range of tissue injury included total destruction of tubules, focal cellular fragmentation, necrosis, cell vacuolization, and membrane blebbing. The initial injury caused by SWL was cellular fragmentation and necrosis. Cellular vacuolization, membrane blebbing, and disorganization of apical brush borders appear to be secondary changes related to hypoxia.
The Relationship Between Institutional Investment and Earnings Management: Empirical Evidence from Turkey

The emergence of corporate scandals at the end of the 20th and beginning of the 21th century raised doubts regarding the integrity of financial reporting and the soundness of firms’ corporate governance practices. The practice of earnings management is considered to be one of the important causes of these scandals due to its harm to the transparency and quality of financial statements. The discretion exercised by managers in accounting result in agency costs arising from the mismatch between the goals and desires of the principle and the agent causing investors to make suboptimal decisions. The recent surge in institutional investors’ shares and associated degree of activism increased their importance as an external control mechanism of corporate governance. Accordingly, the primary purpose of this study is to evaluate the role of these investors on earnings management and alignment of the interests of owners and managers within the context of agency theory. Consequently, two main hypotheses; namely, active monitoring and managerial myopia induced by institutional investors are tested by panel data analysis utilizing data belonging to the firms listed on Borsa Istanbul during the 7 year period between 2005 and 2011, inclusive. The absolute value of discretionary accruals obtained from the performance adjusted cross-sectional industry based accrual model proposed by Kothari, Leone and Wasley (2005) is used as the proxy of earnings management to evaluate whether the presence of institutional investors mitigate or stimulate managers’ discretionary accounting practices. Additionally, further analysis is conducted to evaluate the existence of monitoring and clientele effects to better interpret the direction of the relationship between the associated variables of interest. The Relationship Between Institutional Investment and Earnings Management: Empirical Evidence from Turkey