Miracle-dz/UniFAR-FTUs huggingface dataset:
Diffusion of conceptions of the enterprise as an aspect of globalization. A political/cultural perspective.

Diffusionsprozesse im Zusammenhang von Unternehmenskonzepten sind eine Facette der Globalisierung, an der die Wechselbeziehung von globalen und lokalen Kulturelementen verdeutlicht werden kann. Dabei geht es um die Identifizierung der Akteure, die diesen Diffusionsprozes aktiv bestimmen, und um die Ermittlung des Verlaufs des Prozesses der institutionellen und kulturellen Aneignung und deren Folgen. Die interkulturelle Verbreitung von Prinzipien und Konzepten der Unternehmensfuhrung und Geschaftsgebarung wird als Ausdruck und Resultat von Ideologien, Strategien und Aktionen transnationaler, aber dennoch kulturell eingebetteter Akteure verstanden. Als theoretische Perspektive wird ein Ansatz vorgeschlagen, der es erlaubt, sowohl Aktionen als auch Strukturen zu berucksichtigen. Dieser Anforderung kommt etwa die politisch- kulturelle Perspektive, wie sie Neil Fligstein im Rahmen der neuen Wirtschaftssoziologie anwendet, sehr entgegen. Bei Fligstein bezieht sich die politische Dimension in erster Linie auf das Staatshandeln; dies mus fur die gegenstandliche Untersuchung auf inter- und transnationale Akteure erweitert werden. Die Diffusion konkreter Unternehmenskonzepte wird aus dieser Sicht als politischer, von kollektiven Akteuren bestimmter, sowie als kultureller Prozes verstanden. Macht und Legitimitat sind die Instrumente oder Medien, die ihn bestimmen. Die Macht und der Einflus der Akteure bei der Verbreitung dieser Konzepte, wobei sowohl Unternehmen als auch Staaten eine Rolle spielen, und die Bedingungen der Legitimitat, also die Voraussetzungen, die fur die Akzeptanz dieser Konzepte auch bei Arbeitnehmern, Konsumenten, Zulieferern, etc. und in der Offentlichkeit verantwortlich sind, stellen die Objektbereiche einer derartigen Untersuchung dar. Die Ubernahme von Unternehmenskonzepten resultiert in Handlungsweisen und Entscheidungsprinzipien, die uber die Wirtschaftspraxis auch in institutionellen Strukturen ihren Niederschlag finden, und die daruber hinaus Vorstellungen und Rhetoriken und damit auch kulturelle Strukturen verandern. Ist ein Unternehmenskonzept einmal eingefuhrt, fuhrt es zu strukturellen und institutionellen Veranderungen, die seine Legitimitat uber die jeweiligen Unternehmensgrenzen hinaus begrunden. (Autorenref., bearb. v. M.Putz)
A scoping review of intimate partner violence educational programs for health care professionals

ABSTRACT Multiple intimate partner violence (IPV) educational programs have been developed for health care professionals (HCPs); however, program content and effectiveness vary substantially. The purpose of this scoping review was to identify and synthesize the literature evaluating IPV education programs for HCPs to identify key areas for potential evidence-based recommendations and focus future research priorities. We conducted a systematic literature search using broad eligibility criteria to identify studies published between January 2000 and July 2015 that evaluated the effectiveness of IPV education programs in health care settings. All potentially eligible references were screened independently by two reviewers. Data extraction was completed independently by two reviewers for all eligible studies. Descriptive statistics were used to summarize all data. We identified 65 eligible studies, 55% of which reported positive program effectiveness. Effective programs often reported the use of online training components, delivery by an IPV educator/expert or physician/surgeon, the inclusion of a treatment protocol and resources for patients and HCPs, and included more than five training sessions lasting no more than one hours each. Our results demonstrate that IPV educational programs are heterogeneous and that a wide variety of methodologies have been used to evaluate their effectiveness.
Cdk5/p25-Induced Cytosolic PLA2-Mediated Lysophosphatidylcholine Production Regulates Neuroinflammation and Triggers Neurodegeneration

The deregulation of cyclin-dependent kinase 5 (Cdk5) by p25 has been shown to contribute to the pathogenesis in a number of neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS), Parkinson's disease (PD) and Alzheimer's disease (AD). In particular, p25/Cdk5 has been shown to produce hyperphosphorylated tau, neurofibrillary tangles as well as aberrant amyloid precursor protein processing found in AD. Neuroinflammation has been observed alongside the pathogenic process in these neurodegenerative diseases, however the precise mechanism behind the induction of neuroinflammation and the significance in the AD pathogenesis has not been fully elucidated. In this report, we uncover a novel pathway for p25-induced neuroinflammation where p25 expression induces an early trigger of neuroinflammation in vivo in mice. Lipidomic mass spectrometry, in vitro coculture and conditioned media transfer experiments show that the soluble lipid mediator lysophosphatidylcholine (LPC) is released by p25 overexpressing neurons to initiate astrogliosis, neuroinflammation and subsequent neurodegeneration. Reverse transcriptase PCR and gene silencing experiments show that cytosolic phospholipase 2 (cPLA2) is the key enzyme mediating the p25-induced LPC production and cPLA2 upregulation is critical in triggering the p25-mediated inflammatory and neurodegenerative process. Together, our findings delineate a potential therapeutic target for the reduction of neuroinflammation in neurodegenerative diseases including AD.
Social Clustering-based Similar User Indexing for Large Recommender System

The tremendous growth of data in recent years poses some key challenges for recommender systems. Theses keys are related with producing high quality recommendations and fast performing the composition recommended items. In this paper, we propose social clustering-based similar user index to not only improve the prediction of recommendations, but also compose personalized recommendations in fast. Through the experimental result, we show that proposed clustering method is more accurate than k-means which is prevalent clustering techniques. And, we reduce computation time needed for composing recommendation. That is, proposed clustering-based indexing method improves the performance of recommender systems which deals with a very large data.
Down-Regulation of IL-2 Production in T Lymphocytes by Phosphorylated Protein Kinase A-RIIβ1

The β isoform of the type II regulatory subunit (RIIβ) of protein kinase A suppresses CREB transcriptional activity and c-Fos production in T cells following activation via the TCR. Because CREB is an integral nuclear transcription factor for IL-2 production by T cells, we tested the hypothesis that RIIβ down-regulates IL-2 expression and IL-2 production in T cells. Stable transfection of RIIβ in Jurkat T cells led to an ∼90% reduction in IL-2 mRNA and IL-2 protein following T cell activation. The inhibition of IL-2 production was associated with phosphorylation of the RIIβ subunit at serine 114 (pRIIβ) and localization of pRIIβ in intranuclear clusters. A serine 114 phosphorylation-defective mutant, RIIβS114A, did not form these intranuclear clusters as well as wild-type RIIβ, and did not inhibit IL-2 mRNA and protein synthesis, indicating that serine 114 phosphorylation is required for both nuclear localization and down-regulation of IL-2 production by RIIβ. In contrast to its effect on IL-2, RIIβ induced constitutive up-regulation of CD154 mRNA and cell surface expression. Thus, pRIIβ differentially regulates gene expression following T cell activation. Unexpectedly, we also found that stable overexpression of another protein kinase A regulatory subunit, RIα, had the opposite effect on IL-2 expression, causing a 3- to 4-fold increase in IL-2 production following stimulation. In summary, our data demonstrate a novel mechanism by which serine 114 phosphorylation and nuclear localization of RIIβ controls the regulation of gene expression in T cells.
Is Corruption Detrimental to International Trade?

Many regard corruption to be detrimental to international trade. Some, however, think that corruption greases commerce in case of low-quality institutions. Others argue that arbitrary corruption is more damaging to trade than predictable corruption. This is the first paper to test these hypotheses empirically with trade-related measures of corruption. It finds that in general, corruption is detrimental to international trade. However, bribe paying may be beneficial in countries with very long waiting-times at the border or low-quality customs. Moreover, the nature of corruption matters: more uncertainty in advance about the bribe to be paid reduces trade.
Clinical and Physiologic Evaluation of Stellate Ganglion Blockade for Complex Regional Pain Syndrome Type I

Objective: The efficacy of peripheral sympathetic interruption after stellate ganglion blockade was assessed by a sympathetic function test. Results were compared with clinical signs such as temperature changes, pain reduction, and the development of Horner syndrome to evaluate the correlation with clinical investigations. Design: Stellate ganglion blockade with local anesthetics was carried out via an anterior paratracheal approach in 33 patients suffering from complex regional pain syndrome type I. Patients were examined before and after the procedure. For assessment of sympathetic nervous function, the vasoconstrictor response to sympathetic stimuli was assessed using laser Doppler flowmetry. Clinical parameters like surface temperature changes (thermography), pain relief (visual analogue scale), and Horner syndrome were monitored. Results: Twenty-three (70%) of 33 patients developed an increase in temperature difference between the treated hand and the contralateral hand of more than 1.5°C after the procedure, which is a clinical sign of sympathicolysis. In 48% (n = 11) of these patients, the sympathetic function test showed an undisturbed sympathetic nervous function. In 10 patients, no significant increase in temperature difference was observed. Although these patients presented with a normal sympathetic vasoconstrictor response, 4 felt pain relief of more than 50%, suggesting a placebo effect. Only 7 patients with pain relief revealed both clinical sympathicolysis and extinguished sympathetic nervous function and qualified for sympathetically maintained pain. Conclusions: Clinical investigation is not reliable in the assessment of stellate ganglion blockade. Proof of sympathetically maintained pain based on pain relief after stellate ganglion blockade is not conclusive.
Fatty Acids Change the Conformation of Uncoupling Protein 1 (UCP1)*

Background: Fatty acids activate UCP1 to catalyze mitochondrial proton leak. Results: Palmitate changed the kinetics of two processes: mant-GDP binding to UCP1 and enzymatic proteolysis of UCP1. Conclusion: We present the first demonstration that fatty acids induce a conformational change in UCP1. Significance: The finding has profound implications for the mechanism of UCP1, providing crucial insights into cellular metabolic inefficiency. UCP1 catalyzes proton leak across the mitochondrial inner membrane to disengage substrate oxidation from ATP production. It is well established that UCP1 is activated by fatty acids and inhibited by purine nucleotides, but precisely how this regulation occurs remains unsettled. Although fatty acids can competitively overcome nucleotide inhibition in functional assays, fatty acids have little effect on purine nucleotide binding. Here, we present the first demonstration that fatty acids induce a conformational change in UCP1. Palmitate dramatically changed the binding kinetics of 2′/3′-O-(N-methylanthraniloyl)-GDP, a fluorescently labeled nucleotide analog, for UCP1. Furthermore, palmitate accelerated the rate of enzymatic proteolysis of UCP1. The altered kinetics of both processes indicate that fatty acids change the conformation of UCP1, reconciling the apparent discrepancy between existing functional and ligand binding data. Our results provide a framework for how fatty acids and nucleotides compete to regulate the activity of UCP1.
Deep learning is competing random forest in computational docking

Computational docking is the core process of computer-aided drug design; it aims at predicting the best orientation and conformation of a small drug molecule when bound to a target large protein receptor. The docking quality is typically measured by a scoring function: a mathematical predictive model that produces a score representing the binding free energy and hence the stability of the resulting complex molecule. We analyze the performance of both learning techniques on the scoring power, the ranking power, docking power, and screening power using the PDBbind 2013 database. For the scoring and ranking powers, the proposed learning scoring functions depend on a wide range of features (energy terms, pharmacophore, intermolecular) that entirely characterize the protein-ligand complexes. For the docking and screening powers, the proposed learning scoring functions depend on the intermolecular features of the RF-Score to utilize a larger number of training complexes. For the scoring power, the DL\_RF scoring function achieves Pearson's correlation coefficient between the predicted and experimentally measured binding affinities of 0.799 versus 0.758 of the RF scoring function. For the ranking power, the DL scoring function ranks the ligands bound to fixed target protein with accuracy 54% for the high-level ranking and with accuracy 78% for the low-level ranking while the RF scoring function achieves (46% and 62%) respectively. For the docking power, the DL\_RF scoring function has a success rate when the three best-scored ligand binding poses are considered within 2 A root-mean-square-deviation from the native pose of 36.0% versus 30.2% of the RF scoring function. For the screening power, the DL scoring function has an average enrichment factor and success rate at the top 1% level of (2.69 and 6.45%) respectively versus (1.61 and 4.84%) respectively of the RF scoring function.
Graded Egfr activity patterns the Drosophila eggshell independently of autocrine feedback

The pattern of the Drosophila eggshell is determined by the establishment of a complex and stereotyped pattern of cell fates in the follicular epithelium of the ovary. Localized activation of the Epidermal growth factor receptor (Egfr) is essential for this patterning. Modulation of Egfr pathway activity in time and space determines distinct fates at their appropriate locations, but the details of how Egfr signaling is regulated and how the profile of Egfr activity corresponds to cell fate remain unclear. Here we analyze the effect of loss of various Egfr regulators and targets on follicle cell patterning, using a marker for follicle cell fate, and on the mature eggshell phenotype, using a novel eggshell marker. We show, contrary to current patterning models, that feedback regulation of Egfr activity by the autocrine ligand Spitz and the inhibitor Argos is not necessary for patterning. Given the cell-autonomous nature of the mutant phenotypes we observed, we propose instead that the pattern of cell fates is generated by spatial information derived directly from the germline ligand Gurken, without a requirement for subsequent patterning by diffusible Egfr regulators in the follicular epithelium.
Metrics of software evolution as effort predictors - a case study

Despite its importance, cost estimation in the context of continuing software evolution has been relatively unexplored. This paper addresses this omission by describing some models that predict effort as a function of a suite of metrics of software evolution. It presents a case study relating to the evolution of the kernel of a mainframe operating system. Six models based on eight different indicators of evolution activity are proposed, and their predictive power is examined and compared to that of two baseline models. Predictions with errors of the order of 20% of the actual values have been obtained from the models, when fitted to and tested against historical data over a segment of 10 years of the kernel's continuing evolution. The appropriateness of the proposed models as predictors appears to be restricted to homogeneous evolution segments, i.e. periods with relatively small variations in the level of effort applied. It was found that models based on coarse granularity measures, such as "subsystem counts", provided a mean magnitude of relative error which was similar to those based on finer alternatives, such as "module counts".
Game-theoretic resource allocation and decoding order control in OFDMA based multihop networks

It is well known that the information theoretic multiple access channel capacity region is known to be achieved by successive decoding schemes. In this paper, we study a distributed multiple access scheme in OFDMA-based wireless multihop networks. As a solution, we propose a game-theoretic resource allocation and decoding order control scheme, which is based on iterative multi-unit second price auction. The key concept of the proposed scheme is to update the auction value based on the difference between current and target bidding efficiency. We prove our proposal's convergence and stability through analysis and show its performance using simulation. It achieves around 80% of the full-search-based sum throughput while providing inter-user and inter-subchannel fairness.
A Five-Year Survivor without Recurrence Following Robotic Anterior Radical Antegrade Modular Pancreatosplenectomy for a Well-Selected Left-Sided Pancreatic Cancer

Radical antegrade modular pancreatosplenectomy (RAMPS) is regarded as a reasonable approach for margin-negative and systemic lymph node clearance in left-sided pancreatic cancer. We present a patient with more than 5 years disease-free survival after robotic anterior RAMPS for pancreatic ductal adenocarcinoma in the body of the pancreas. The distal part of pancreas, soft tissue around the celiac trunk, and the origin of splenic vessels was dissected with the underlying fascia between the pancreas and adrenal gland. Resected specimen was removed through small vertical abdominal incision. Robot working time was about 8 hours, and blood loss was about 700 mL without blood transfusion. He returned to an oral diet on the postoperative first day and recovered without any clinically relevant complications. There was no lymph node metastasis, perineural or lymphovascular invasion. Both the pancreatic resection margin and the tangential posterior margin were free of carcinoma. The patient received only postoperative adjuvant radiotherapy around the tumor bed. The patient has survived for more than 5 years without evidence of cancer recurrence. Minimally invasive radical left-sided pancreatectomy with splenectomy may be oncologically feasible in well-selected pancreatic cancer.
Nucleocytoplasmic Shuttling of the Zinc Finger Protein EZI Is Mediated by Importin-7-dependent Nuclear Import and CRM1-independent Export Mechanisms*

Nucleocytoplasmic translocation constitutes a foundation for nuclear proteins to exert their proper functions and hence for various biological reactions to occur normally in eukaryotic cells. We reported previously that EZI/Zfp467, a 12 zinc finger motif-containing protein, localizes predominantly in the nucleus, yet the underlying mechanism still remains elusive. Here we constructed a series of mutant forms of EZI and examined their subcellular localization. The results delineated a non-canonical nuclear localization signal in the region covering the 9th to the 12th zinc fingers, which was necessary for nuclear accumulation of EZI as well as sufficient to confer nuclear localizing ability to a heterologous protein. We also found that the N-terminal domain of EZI is necessary for its nuclear export, the process of which was not sensitive to the CRM1 inhibitor leptomycin B. An interaction proteomics approach and the following co-immunoprecipitation experiments identified the nuclear import receptor importin-7 as a molecule that associated with EZI and, importantly, short interfering RNA-mediated knockdown of importin-7 expression completely abrogated nuclear accumulation of EZI. Taken together, these results identify EZI as a novel cargo protein for importin-7 and demonstrate a nucleocytoplasmic shuttling mechanism that is mediated by importin-7-dependent nuclear localization and CRM1-independent nuclear export.
Trend analysis techniques for incipient fault prediction

This paper extends the application of the Laplace Test Statistic for trend analysis and prediction of incipient faults for power systems. The extensions proposed in this paper consider the situation where two parameters believed to contribute explicitly to the eventual failure are monitored. The developed extensions applied to actual incipient failure events provide promising results for prediction of the impending failure. It is demonstrated that by incorporating two parameters in the trend analysis, the robustness to outliers is increased and the flexibility is augmented by increasing the degrees of freedom in the generation of the alarm signal.
RIPT: A Receiver-Initiated Reservation-Based Protocol for Underwater Acoustic Networks

Although there are many MAC protocols that have been proposed for terrestrial wireless networks with a wide variety of aspects, these protocols cannot be applied directly in underwater acoustic networks due to the channel's uniqueness of having low data rate and long propagation delay. In order to achieve a high throughput, both characteristics must be taken into account in the MAC design. We propose a random access MAC protocol for multi-hop underwater acoustic networks based on receiver reservation, which we shall call the "Receiverinitiated Packet Train" (RIPT) protocol. It is a handshakingbased protocol that addresses the channel's long propagation delay characteristic by utilizing receiver-initiated reservations, as well as by coordinating packets from multiple neighboring nodes to arrive in a packet train manner at the receiver. Our simulation results have confirmed that the RIPT protocol can achieve our goal of having high and stable throughput performance while maintaining low collision rate.
VISP: An Ecosystem for Elastic Data Stream Processing for the Internet of Things

The Internet of Things is getting more and more traction, nevertheless, state-of-the-art approaches only focus on specific aspects, like the integration of heterogeneous devices or the processing of sensor data emitted by these devices. However, such domain-specific approaches slow the adoption rate of the Internet of Things, because users need to select and integrate different approaches in order to build a solution that fits all their requirements. To resolve this shortcoming, we have designed and implemented the VISP ecosystem, which provides a holistic approach for elastic data stream processing in Internet of Things scenarios by supporting the complete lifecycle of designing, deploying, and executing such scenarios. VISP further tackles the challenges of data privacy as well as software reuse, including monetization aspects in today's service landscapes. This paper analyzes challenges for creating solutions for the Internet of Things, presents the VISP ecosystem, and discusses its applicability for use case specific data stream processing topologies.