Miracle-dz/UniFAR-FTUs huggingface dataset:
The local TV station as an organizational self: Promoting corporate image via Instagram

ABSTRACT Television stations are increasingly using social media platforms for a variety of reasons. This study examined more than 4,300 visuals posted to the Instagram sites of 383 local TV stations in the United States. The analysis found that news and promotion were the top themes of the posts. Using Goffman’s (1959) presentation of self as a theoretical foundation, this study found that visuals coded as frontstage received more likes and comments than backstage visuals. Small market stations featured more promotion visuals than large and medium markets. Large market stations featured more lifestyle, community, and news posts than the other market sizes.
Multipath TCP Architecture for Infotainment Multimedia Applications in Vehicular Networks

The large deployment of Internet resources has facilitated the accelerated development of Intelligent Transport Systems (ITS) including a large diversity of distributed applications such as non-safety infotainment vehicular applications. In vehicular networks, nodes can connect to Internet using Road Side Units (RSUs), but the complete deployment of RSUs along all the transport network seems unfeasible. So, we can take advantage of multihomed devices using complementary access network technologies, such as satellite networks, in order to maintain the connectivity. Several solutions have been implemented in order to take advantage of multihoming and multipath capabilities of mobile nodes. However, in dynamic network scenarios involving multipath communication channels, the QoS requirements of these applications is not always globally managed and guaranteed. Moreover, specific multimedia semantics of the transmitted data is not usually considered by the available transmission mechanisms and protocols. In this work, we present a Multipath TCP communication architecture that take full advantage of the intrinsic multimedia QoS semantics based in Deep Packet Inspection in order to self-manage the available resources and to provide a more compliant e2e transport service.
A convex approach to steady state moment analysis for stochastic chemical reactions

Model-based prediction of stochastic noise in biomolecular reactions often resorts to approximation with unknown precision. As a result, unexpected stochastic fluctuation causes a headache for the designers of biomolecular circuits. This paper proposes a convex optimization approach to quantifying the steady state moments of molecular copy counts with theoretical rigor. We show that the stochastic moments lie in a convex semi-algebraic set specified by linear matrix inequalities. Thus, the upper and the lower bounds of some moments can be computed by a semidefinite program. Using a protein dimerization process as an example, we demonstrate that the proposed method can precisely predict the mean and the variance of the copy number of the monomer protein.
When Incentives Clash Fair-Play

The ill-designed scoring method in the NHL incentivizes the teams to reach overtimes in matches against rivals from the other conference. In this paper, I find a statistically significant higher percentage of matches that go into overtime against rivals from the other conference than the percentage of matches that go into overtime against rivals from the same conference for two NHL teams. From the economic aspect, the behavior of those two teams is rational. All the other teams in the league may not maximize their chances to qualify to the playoffs, but their behavior is in line with the “Fair-Play” principle.
Passive Recovery Is Superior to Active Recovery During a High-Intensity Shock Microcycle

Abstract Wahl, P, Zinner, C, Grosskopf, C, Rossmann, R, Bloch, W, and Mester, J. Passive recovery is superior to active recovery during a high-intensity shock microcycle. J Strength Cond Res 27(5): 1384–1393, 2013—The purpose was to examine the effects of a 2-week high-intensity shock microcycle on maximal oxygen consumption and parameters of exercise performance in junior triathletes on the one hand and to evaluate the long-term effects of active (A) vs. passive (P) recovery on the other hand. Sixteen healthy junior triathletes participated in the study. For the assignment to the A or P group, the subjects were matched according to age and performance. Within 2 weeks, a total of 15 high-intensity interval sessions within three 3-day training blocks were performed. Before and 1 week after the last training session, the athletes performed a ramp test to determine V[Combining Dot Above]O2max, a time trial (TT) and a Wingate test. Furthermore, total hemoglobin (Hb) mass was determined. The results of the whole group, independent of the arrangement of recovery, were analyzed at first; second, the A and P groups were analyzed separately. Peak power output (PPO) during the ramp test and TT performance significantly increased in the whole group. The comparison of the 2 groups revealed increases for the mentioned parameters and for V[Combining Dot Above]O2 and power output at VT2 for the P group only. The V[Combining Dot Above]O2max did not change. Wingate performance increased in the A group only. The tHb mass slightly decreased. The main finding of this study was that a 14-day shock microcycle is able to improve TT performance and PPO in junior triathletes in a short period of time. Furthermore, not only the intensity but also the arrangement of interval training seems to be important as well, because only the P group showed improvements in endurance performance, despite a slightly lower training volume. These findings might be relevant for future arrangements of high-intensity interval training.
Biogenesis of sperm acrosome is regulated by pre-mRNA alternative splicing of Acrbp in the mouse

Significance Mammalian sperm possess a Golgi-derived exocytotic organelle, the acrosome, located on the apical region of the head. Proper biogenesis of the acrosome is essential for the fertilization process because the aberrant acrosome formation results in the sterility or subfertility of males. Here, we show that the acrosome formation is governed by two forms of proacrosin-binding protein ACRBP, wild-type ACRBP-W and variant ACRBP-V5, which are generated by pre-mRNA alternative splicing of Acrbp. ACRBP-V5 is involved in the formation and configuration of the acrosomal granule during early spermiogenesis, whereas the inactive status of proacrosin in the acrosome is maintained by ACRBP-W until acrosomal exocytosis. Proper biogenesis of a sperm-specific organelle, the acrosome, is essential for gamete interaction. An acrosomal matrix protein, ACRBP, is known as a proacrosin-binding protein. In mice, two forms of ACRBP, wild-type ACRBP-W and variant ACRBP-V5, are generated by pre-mRNA alternative splicing of Acrbp. Here, we demonstrate the functional roles of these two ACRBP proteins. ACRBP-null male mice lacking both proteins showed a severely reduced fertility, because of malformation of the acrosome. Notably, ACRBP-null spermatids failed to form a large acrosomal granule, leading to the fragmented structure of the acrosome. The acrosome malformation was rescued by transgenic expression of ACRBP-V5 in ACRBP-null spermatids. Moreover, exogenously expressed ACRBP-W blocked autoactivation of proacrosin in the acrosome. Thus, ACRBP-V5 functions in the formation and configuration of the acrosomal granule during early spermiogenesis. The major function of ACRBP-W is to retain the inactive status of proacrosin in the acrosome until acrosomal exocytosis.
A Study on Customer Behavior towards Banking Services with Special Reference to Public Sector Banks in Sivagangai Dist

The banking system forms the important role in the financial sector of an economy. The role of commercial banks is particularly important in third world countries through (i) The Mobilization of resource. (ii) Better allocation. (iii) The development process of under developed countries. (iv) By giving attractive saving schemes (v) And ensuring safety of deposits commercial banks encourage willingness (vi) To save among the people in rural areas. (vii) They help to convert idle saving in to effective one. (viii) Commercial banks improve the allocation of resources by lending money to priority sectors of the economy.
Evaluating the Time Dimension for Cultural Separation Using Food Habits

In this study we evaluate a methodology for identifying cultural boundaries, which explores users' drink and food preferences extracted from the Social Web. We focus mainly on the better understanding of the importance of the time dimension on that methodology. Our results indicate that, in fact, take the time dimension into account helps to increase the precision of the results. Automatic identification of cultural differences might be useful to complement large-scale studies on cultural differences, process that can be costly using traditional methods, such as questionnaires. Besides that, it can help the development of new ubiquitous applications and services for the Social Web.
Taylor-Couette flow of unmagnetized plasma

Differentially rotating flows of unmagnetized, highly conducting plasmas have been created in the Plasma Couette Experiment. Previously, hot-cathodes have been used to control plasma rotation by a stirring technique [C. Collins et al., Phys. Rev. Lett. 108, 115001 (2012)] on the outer cylindrical boundary—these plasmas were nearly rigid rotors, modified only by the presence of a neutral particle drag. Experiments have now been extended to include stirring from an inner boundary, allowing for generalized circular Couette flow and opening a path for both hydrodynamic and magnetohydrodynamic experiments, as well as fundamental studies of plasma viscosity. Plasma is confined in a cylindrical, axisymmetric, multicusp magnetic field, with Te < 10 eV, Ti < 1 eV, and ne<1011 cm−3. Azimuthal flows (up to 12 km/s, M = V∕cs ∼ 0.7) are driven by edge J × B torques in helium, neon, argon, and xenon plasmas, and the experiment has already achieved Rm ∼ 65 and Pm∼0.2−12. We present measurements of a self-consistent, rot.
Investigation of soft error rate including multi-bit upsets in advanced SRAM using neutron irradiation test and 3D mixed-mode device simulation

We investigated the SRAM soft error rate (SER) by using neutron irradiation testing and computational modeling. Experimentally observed multibit-error patterns can be clarified by our detailed SRAM upset model derived from the 3D device-circuit mixed-mode simulation. This work describes several essential key issues for predicting SER accounting for practical SRAM circuit-layout design issues.
Reverse engineering biomolecular systems using -omic data: challenges, progress and opportunities

Recent advances in high-throughput biotechnologies have led to the rapid growing research interest in reverse engineering of biomolecular systems (REBMS). 'Data-driven' approaches, i.e. data mining, can be used to extract patterns from large volumes of biochemical data at molecular-level resolution while 'design-driven' approaches, i.e. systems modeling, can be used to simulate emergent system properties. Consequently, both data- and design-driven approaches applied to -omic data may lead to novel insights in reverse engineering biological systems that could not be expected before using low-throughput platforms. However, there exist several challenges in this fast growing field of reverse engineering biomolecular systems: (i) to integrate heterogeneous biochemical data for data mining, (ii) to combine top-down and bottom-up approaches for systems modeling and (iii) to validate system models experimentally. In addition to reviewing progress made by the community and opportunities encountered in addressing these challenges, we explore the emerging field of synthetic biology, which is an exciting approach to validate and analyze theoretical system models directly through experimental synthesis, i.e. analysis-by-synthesis. The ultimate goal is to address the present and future challenges in reverse engineering biomolecular systems (REBMS) using integrated workflow of data mining, systems modeling and synthetic biology.
BUILDING SPATIAL DATABASE FOR CUTTACK MUNICIPAL CORPORATION: A GEOSPATIAL TECHNOLOGICAL APPROACH

Decentralized governance necessitates participatory approach which is crucial for realizing sustainable development. Accordingly, the concerned government as well as non-government agencies assume responsibility to plan, execute, manage and monitor social welfare schemes in a coordinated manner. This in turn, relies on integrated information in the form of database which plays a vital role in the process of decision making. Despite significant improvements made in the field of database creation and management, problems of availability and organization of accurate data in the country continue to persist. In this context, the present study is taken up for building a reliable and accurate geo-database for Cuttack Municipal Corporation, Odisha. The database thus created will enable information flow for planning and monitoring of various government schemes. The study involves acquisition and integration of spatial and non-spatial data derived from multiple sources. More often than not, data from these sources suffer from various types of errors embedded in it. Lack of availability of cutting edge technologies within government enterprises as well as absence of appropriate manpower with specialized expertise are the underlying reasons of errors in existing databases of Cuttack Municipal Corporation. The present study proposes a methodological framework towards removal of these errors in spatial information. The study is based on geospatial technologies of Remote Sensing, Geographic Information System and Global Positioning System in generating a desired accurate and common geo-database for planning and implementation of social welfare schemes. While Global Positioning System and Remote Sensing imageries can help enhance the positional accuracies of spatial entities, data management, analysis and visualization capabilities of Geographic Information System can help build the standard geo-database which can be shared by policy makers for better implementation of the schemes.
MULTIPLE SCLEROSIS AND CANNABIS: A COGNITIVE AND PSYCHIATRIC STUDY

munity is not restricted to an arbitrary panel of antigens. It is an algorithmic cascade which includes reflexive testing prompted by findings on a standardized immunofluorescence assay (screening for IgG binding selectively to neural tissues) and RIAs for cation channel autoantibodies. It is our experience that patients for whom VGKC autoantibody testing is physician-requested on the basis of “syndromic” neurologic presentation are frequently seronegative. Supporting our recommendation for a comprehensive serologic evaluation when an autoimmune neurologic disorder is suspected, 46% of patients with Isaacs syndrome are VGKC antibody negative and 19% of those are ganglionic neuronal acetylcholine receptor antibody positive. Our study avoided the bias inherent in defining the clinical spectrum associated with VGKC autoantibodies because testing by RIA was performed algorithmically without knowledge of clinical presentation, prompted strictly by detection of a VGKCcompatible staining pattern in immunofluorescence screening. We do not suggest that immunofluorescence is the most sensitive method for detecting VGKC autoantibodies. Our data support our conclusion “that VGKC autoantibody testing [is justified] in evaluation of patients with idiopathic neurologic disorders of subacute onset. ”
Expression and Clinical Significance of Pepsinogen C in Resectable Pancreatic Cancer

Pepsinogen C is an aspartyl-proteinase usually involved in the digestion of proteins in the stomach, and an androgen- inducible protein in breast cancer cells. In this study we evaluated its expression and clinical significance in patients with resectable pancreatic cancer. Pepsinogen C expression was examined by immunohistochemical methods in a series of 73 pancreatic carcinomas. The prognostic value of pepsinogen C was retrospectively evaluated by multivariate analysis. A total of 21 (28.8%) pancreatic carcinomas stained positively for pepsinogen C. The percentage of pepsinogen C-positive tumors was significantly higher in well-differentiated tumors (38.3%) than in moderately differentiated (15.8%) and poorly differentiated (0%) tumors (p<0.05). In addition, statistical analysis revealed that pepsinogen C expression was associated with clinical outcome. Thus, patients with pepsinogen C-negative tumors have a poorer overall survival than those with pepsinogen C-positive tumors. Our results led us to consider that the expression of pepsinogen C may represent a useful biological marker in pancreatic cancer. Expression of this protein may be a marker of gastric-type differentiation of the tumors and it might also reflect the existence of a complete hormone receptor pathway in a subset of pancreatic carcinomas.
Defining Objectives For Securing The Internet Of Things: A Value-Focused Thinking Approach

Over the past few years Internet of Things (IoT) has touched most people. Companies have been competing with each other in inventing new IoT based products and services. It has become a real business opportunity for various companies and a luxury for end users. Yet, the research on securing the Internet of Things (IoT) is in its infancy. In this study, we use the “value-focused thinking” approach to systematically identify IoT security values and objectives from 58 IT professionals. This study provides a foundation for strategically planning and thinking about IoT security. We present four fundamental objectives and thirteen means objectives. The results of this qualitative study will help researchers and practitioners identify and prioritize key IoT security issues.
Operational inductance of DFIG-based wind turbines for fault current analysis during LVRT

As doubly fed induction generator (DFIG) based wind turbines (WTs) have already become a significant power source in modern power systems, characterizing its fault current is one of the basic requirements for system analysis. However, due to various fault ride through strategies and flexible switching schemes, this research is of less progress under severe grid fault conditions. In this paper, the operational inductance of DFIG-based WT is proposed for extracting the influence of various ride through strategies on fault current characteristics. Furthermore, a uniform and simple analytical expression is developed under the switch of three typical ride through strategies. Based on the obtained analytical expression, the allocation of initial value, damping and frequency deviation of stator current are identified and described clearly. Finally, the analytical results are verified with the mathematic solution and the IGBT-detailed simulation of a commercial GE 1.5MW WT.
Fibroscan for assessing liver fibrosis: An acceptable alternative for liver biopsy

There is now adequate evidence to indicate that liver fi-brosis is a dynamic rather than a static process and as effec-tive antiviral and other specific therapies became available, fibrosis and even cirrhosis could become reversible (1, 2). Effective and early therapy of viral and autoimmune hepa-titis could result in reversibility of cirrhosis in addition to clinical cure (1-3). Therefore, we urgently need to be able to follow the progression or regression of fibrosis in response to therapy in addition to initial assessment of fibrosis by liver biopsy. Liver biopsy which was first introduced in 1923 has been used widely in the diagnosis of liver diseases and is still the gold standard reference for the assessment of liver fibrosis during the course of chronic liver diseases (4, 5). But this procedure is costly, painful and runs a small risk of sever complications like hemorrhage and even death; there-fore, it is unacceptable to patients and doctors alike (5). It is also time-consuming and labor-intensive; the assessment is subjective and due to small size of the specimen in setting of heterogeneity of liver fibrosis is prone to sampling error. There is now increasing evidence that sampling error (up to 35%), inter- and intra-observer variability (up to 20%) for a particular stage between pathologist are major problems which may preclude accurate fibrosis staging for individual patients with liver biopsy (4-6). For the said reasons and especially in chronic liver disease where monitoring the evolution of disease or response to treatment may require repeated assessments, the discipline of hepatology need
Analysis of the Planning and Development of Employee Career Paths in the Job Placement for a Supervisor Position in Badan Kepegawaian Negara

This study aims to analyze planning and development of employee career path in job placement for supervisor position in Badan Kepegawaian Negara (BKN) Indonesia. This study uses postpositivisme approach. The result shows there is not yet alignment between Career Planning and Career Management in the State Employment Agency, employee career planning is unplanned and does not have a clear career purpose because career management in BKN does not set out an employee career path that is in accordance with qualification and competence. The career management in BKN has not composed an employee career pattern that is in accordance with the potential of the employees and the needs of the organization. Therefore, job placement for supervisor position does not have correlation with planning and development of employee or even organizations needs and goals. Keywords—career planning, career development, career management, job placement
Analysis of the IPO Valuation Premium Puzzle: the Factor of Information Asymmetry

Bazując na wynikach badan empirycznych i modelu Akerlofa (1970), artykul przedstawia wyjaśnienie anomalii wyceny ofert publicznych. Wybierając miedzy pierwotną ofertą publiczną a przejeciem przez inną spolke, coraz wieksza liczba firm wybiera te ostatnią opcje, mimo ze IPO potencjalnie oferuje wyzszą premie cenową. Wnioski wyciągniete na podstawie krytycznego przeglądu literatury empirycznej sugerują, ze badane zjawisko jest spowodowane czynnikiem asymetrii informacji, co z kolei powoduje analogie z modelem Akerlofa, ktory pomaga wyjaśnic anomalie wyceny pierwotnych ofert publicznych. Jednak w praktyce są obserwowane znaczące odchylenia rezultatow firm sprzedawanych w ramach IPO od wnioskow analizy normatywnej (gorsze w porownaniu do oczekiwan wskaźniki dzialalności operacyjnej; zbyt wysokie premie przy przejeciach), ktore mogą byc wywolane wplywem czynnikow behawioralnych. Przedstawione argumenty wskazują, ze poprawnośc modeli teoretycznych analizowanych w artykule zalezy od zalozen odnośnie efektywności informacyjnej rynku finansowego oraz racjonalności jego uczestnikow. Artykul zawiera rowniez systematyzacje tych zalozen oraz prezentuje wnioski odnośnie ich trafności przy analizie przedstawionych anomalii wyceny, a takze pokazuje, jak mechanizmy rynkowe takie jak ‘dual- -track’ IPO pomagają rozwiązac problem asymetrii informacji i wyeliminowac anomalie wyceny.