Miracle-dz/UniFAR-FTUs huggingface dataset:
The dust attenuation of star-forming galaxies at z ˜ 3 and beyond: New insights from ALMA observations

We present results on the dust attenuation of galaxies at redshift ˜3-6 by studying the relationship between the UV spectral slope (βUV) and the infrared excess (IRX ; LIR/LUV) using Atacama Large Millimeter/submillimeter Array (ALMA) far-infrared continuum observations. Our study is based on a sample of 67 massive, star- forming galaxies with a median mass of M* ˜ 1010.7 M⊙ spanning a redshift range z = 2.6-3.7 (median z = 3.2) that were observed with ALMA at λ _{;rest};=300 {;μ m};. Both the individual ALMA detections (41 sources) and stacks including all galaxies show the IRX-βUV relationship at z ˜ 3 is mostly consistent with that of local starburst galaxies on average. However, we find evidence for a large dispersion around the mean relationship by up to ±0.5 dex. Nevertheless, the locally calibrated dust correction factors based on the IRX-βUV relation are on average applicable to main-sequence z ˜ 3 galaxies. This does not appear to be the case at even higher redshifts, however. Using public ALMA observations of z ˜ 4-6 galaxies we find evidence for a significant evolution in the IRX-βUV and the IRX-M* relations beyond z ˜ 3 towards lower IRX values. We discuss several caveats that could affect these results, including the assumed dust temperature. ALMA observations of larger z > 3 galaxy sample spanning a wide range of physical parameters (e.g. lower stellar mass) will be important to investigate this intriguing redshift evolution further.
Activation of single heteromeric GABAA receptor ion channels by full and partial agonists

The linkage between agonist binding and the activation of a GABAA receptor ion channel is yet to be resolved. This aspect was examined on human recombinant α1β2γ2S GABAA receptors expressed in human embryonic kidney cells using the following series of receptor agonists: GABA, isoguvacine, 4,5,6,7‐tetrahydroisoxazolo[5,4‐c]pyridin‐3‐ol (THIP), isonipecotic acid, piperidine‐4‐sulphonic acid (P4S), imidazole‐4‐acetic acid (IAA), 5‐(4‐piperidyl)‐3‐isothiazolol (thio‐4‐PIOL) and 5‐(4‐piperidyl)‐3‐isoxazolol (4‐PIOL). Whole‐cell concentration–response curves enabled the agonists to be categorized into four classes based upon their maximum responses. Single channel analyses revealed that the channel conductance of 25–27 pS was unaffected by the agonists. However, two open states were resolved from the open period distributions with mean open times reduced 5‐fold by the weakest partial agonists. Using saturating agonist concentrations, estimates of the channel shutting rate, α, ranged from 200 to 600 s−1. The shut period distributions were described by three or four components and for the weakest partial agonists, the interburst shut periods increased whilst the mean burst durations and longest burst lengths were reduced relative to the full agonists. From the burst analyses, the opening rates for channel activation, β, and the total dissociation rates, k−1, for the agonists leaving the receptor were estimated. The agonist efficacies were larger for the full agonists (E∼7−9) compared to the weak partial agonists (∼0.4–0.6). Overall, changes in agonist efficacy largely determined the different agonist profiles with contributions from the agonist affinities and the degree of receptor desensitization. From this we conclude that GABAA receptor activation does not occur in a switch‐like manner since the agonist recognition sites are flexible, accommodating diverse agonist structures which differentially influence the opening and shutting rates of the ion channel.
What Factors Drive IPO Prices: An Empirical Study of Alternative Factors

IPO pricing is an emerging field in Finance that contains elements of Economics. It has been studied by researchers frequently over the past two decades. With availability of data and standardization of accounting norms, we can now study share prices in much greater detail. Few (or no) studies have so far touched the aspects of the "objectives of the IPO" or "type of industry" for the firm. Pricing of an IPO is governed by behavioral factors, and companies do try to induce investors to rush for their stocks. In this paper, we attempt to draw a relation between IPO pricing and the variables that we have introduced in this analysis.
Contribution to COBS synchronization with PTP IEEE std. 1588

This work presents a cabled system for collecting real-time seismic data on the coastal zones. It is deployed in the Western Mediterranean Cabled Observatory, OBSEA (www.obsea.es). A key component in this cabled system, COBS, is the use of IEEE standard 1588 that serves as a clock synchronization mechanism for the seismometer with Universal Time Coordinates (UTC) clock. Delivering of accurate timing to the seismometer, the seismic data can be time stamped using a UTC clock which is traceable to within the desired level of precision of sub milliseconds necessary for an accurate location of an earthquake.
Does the stock market punish corporate malfeasance?: A case study of Citigroup

This paper examines how well the market anticipates regulatory sanction. We look at key dates of SEC, NASD, FTC, Congressional and foreign investigations and their subsequent resolution. Our event study confirms that the settlements provide little new information to the market. In six major case groupings, we find highly accurate predictions from market capitalization changes of settlements and associated private litigation.
A machine learning approach to fall detection algorithm using wearable sensor

Falls are the primary cause of accidents for the elderly in living environment. Falls frequently cause fatal and non-fatal injuries that are associated with a large amount of medical costs. Reduction hazards in living environment and doing exercise for training balance and muscle are the common strategies for fall prevention. But falls cannot be avoided completely; fall detection provides the alarm in time that can decrease the injuries or death caused by no rescue. We propose machine learning-based fall detection algorithm using multi-SVM with linear, quadratic or polynomial kernel function, and k-NN classifier. Eight kinds of falling postures and seven types of daily activities arranged in the experiment are used to explore the performance of the machine learning-based fall detection algorithm. The emulated falls were performed on a soft mat by ten healthy young subjects wearing protectors. The k-nearest neighbor method with 0.1 second window size has the highest accuracy, which is 96.26%. The results show that the proposed machine learning fall detection algorithm can fulfill the requirements of adaptability and flexibility for the individual differences.
Adoption Patterns of New Banking Technology in Southeast Asia

ATM cardholders and nonholders in the Republic of Singapore have been researched. Cardholders and nonholders are contrasted in their demographic, attitudinal and social characteristics and in their experience with technical products. The findings indicate considerable differences between cardholders and nonholders on most measures. Further, the profile of ATM cardholders appears to be consistent with Rogers' (1983) generalisation of the early adopters of innovations.
Relationship between body composition measures and AAHPER test performances in young boys.

Abstract Relationships between total body density, total body potassium, skinfold thickness measurements and aahper Youth Fitness Test performances were determined on 49 prepubescent boys, 8 to 11 yr of age. Zero-order correlations between body composition measures and performance scores were low or moderate; however, using multiple regression analysis it was found that body composition measures significantly (p < .05) increased the variance accounted for above that explained by age, height, and weight in predicting all performance items except sit-ups. In general, body density, body potassium, and skinfold thickness predicted performances equally well when age, height, and weight were held constant. A canonical correlation analysis of the relation between the aahper Test items and the physical development variables demonstrated that there was a large proportion of common variance between the two sets of variables and significant relationships existed along two independent dimensions. It was concluded tha.
Stock Market Manipulation on the Hong Kong Stock Exchange

This study is the first to empirically examine stock market manipulation on the Hong Kong Stock Exchange. The dataset contains 40 cases of market manipulation from 1996 to 2009 that were successfully prosecuted by the Hong Kong Securities & Futures Commission. Manipulation is found to negatively impact market efficiency measures such as the bid-ask spread and volatility. Markets appear incapable of efficiently responding to the presence of manipulators and are characterised by information asymmetry. Manipulators were successfully able to raise prices and exit the market. This finding contradicts views that trade-based manipulation is entirely unprofitable and self-deterring. The victimisation of information-seeking investors and the market as a whole provides a strong rationale for all jurisdictions, including Australia, to have effective laws that prohibit manipulation and for robust enforcement of those laws to further deter market manipulation.
Minor hallucinations occur in drug‐naive Parkinson's disease patients, even from the premotor phase

The description of minor hallucinatory phenomena (presence, passage hallucinations) has widened the spectrum of psychosis in Parkinson's disease (PD). Minor hallucinatory phenomena seem to antedate the development of more severe hallucinations. Early detection of minor hallucinations may be useful for screening patients with more severe endophenotypes. Motivated by the observation of “de novo,” drug‐naive PD patients reporting minor hallucinations, we aimed to prospectively identify “de novo” untreated PD patients experiencing hallucinatory phenomena, and to compare their clinico‐demographic characteristics with those of untreated PD patients without hallucinations and healthy controls.
A study on higher education institutions' influence towards competitive strategy development in an ICT cluster

Abstract The objective of this research was to study the UK government's strategic policy development in the information and communications technology (ICT) industry, in particular the role of higher education institutions (HEIs). Information gathered from nine universities in one region demonstrates their impact in driving local economy. The collaborations between universities and small and medium enterprises (SMEs) reveal a dynamic approach towards encouraging innovation activities. Also deliberated are issues relating to the role of HEIs in economic development and the challenges that both SMEs and universities face, with the biggest challenge being a positive change in attitude. In a climate where many information systems(IS) students remain close to home, there may also be a potential correlation between courses delivered in local proximity that have an impact on competitive advantage.
A cloud service for robotic mental simulations

Robotic agents that do everyday manipulation tasks can hugely benefit from being able to predict consequences of their actions just before the execution. However, such a simulation technique is usually computationally-expensive and may not be achieved with agents' self computing power. For this problem, cloud robotics may offer a solution. Cloud robotics is an emerging field in the intersection of robotics and cloud computing which enables robots to access a greater amount of processing power and storage capacity than it can employ within itself. In this work, we introduce a mental simulation service to, one of the cloud engines, openEASE [1]. Using this service, researchers and robots can describe the world model, the state of the agent and the problem that is being dealt with. In return, it simulates the world and runs a learning algorithm and suggests a solution how the robotic agent can handle the problem. This service does not only offer a free remote access to simulation which is computationally expensive but also thanks to OPEnEASE's rich reasoning techniques these simulated experiments can be reasoned later on using prolog queries.
Training Adult Entrepreneurs in an Emerging Economy: The Case of Namibia

The training of adult entrepreneurs in emerging countries remains a challenge as there is no consensus as to the components that should be included in such training initiatives. This research investigates an adult entrepreneurship training programme in terms of its content, delivery methods and outcomes. Surveys were distributed to a convenience sample of Entrepreneurs (N= 102) who participated in the training programme. The results showed that the trainees benefitted from the knowledge base of training modules and that the training methods applied were effective in the transfer of relevant business knowledge. The results also showed that the training programme contributed to improved business performance, an increased client base, improved work attitude and overall entrepreneurial skills. This research advances the current knowledge in terms of training entrepreneurs effectively in emerging markets such as Namibia. DOI: 10.5901/mjss.2014. v5n3p298
Skill requirements of senior‐level logisticians: a longitudinal assessment

Purpose – The logistics discipline has been characterized by tremendous change since the early 1990s. One result is that the logistician's relevant skill set has likely changed as well. To this end, the present paper aims both to update, and to provide a longitudinal perspective of, a 1991 study that investigated the skill requirements of senior‐level logistics managers using the business, logistics, management (BLM) framework.Design/methodology/approach – Both studies used survey research of executive search firms to collect the relevant data. The surveys were transmitted via postal mail in the 1991 study and were transmitted electronically in the present study.Findings – The results from the current study reinforce the 1991 study, which suggested that logisticians should be managers first and logisticians second. Comparison between the earlier and current study suggest a high degree of similarity in terms of the most important logistics skills, with less similarity in terms of business and management sk.
A Novel PTPN11 mutation in LEOPARD syndrome

PTPN11 gene mutations are common to both patients with Noonan (NS) and LEOPARD syndrome (LS). So far only two recurrent mutations have been identified in LS patients by different research groups, i.e., Tyr279Cys and Thr468Met. In this work we describe the third PTPN11 mutation that has been found in a single LS patient. The mutation (c.1517A>C) substitutes a proline for a glutamine at amino acid 506 (Gln506Pro) in the phosphatase domain (PTP) of the PTPN11 peptide SHP2. This region is a mutation hotspot. Changes at amino acids 501 to 504 cause NS. Gln506Pro is predicted, by modeling analysis, to seriously disrupt the normal contacts between the regulating N‐SH2 and the active PTP domains, leading to hyperactivity of the phosphatase. This report demonstrates that rarer mutations other than Tyr279Cys and Thr468Met can be found in LS patients and the need of screening the whole gene in those negative for the commonest mutations. © 2003 Wiley‐Liss, Inc.
Advertising on Social Network Sites: A Structural Equation Modelling Approach

Social networking sites (SNSs) emerged as one of the most powerful media for advertising across the globe. Globally, companies are shifting a larger pie of their advertising budgets towards social networking sites for better reach and interactive platform. The companies are also looking at it as a low-cost model, which could reap results in minimum time possible for the targeted ‘Facebook generation’. These very facts motivate researchers to study the value of advertisements on social networking sites like Facebook, LinkedIn, Twitter and others. The article is an empirical study to understand the implications of different variables in advertisements on the delivery of advertising value to the respondents. Confirmatory factor analysis (CFA) has been conducted to test the reliability of instrument being used for data collection. Further, a model has been proposed for measuring advertising value through structural equation modelling. The predicted results confirm the roles of different variables, namely, information, entertainment and irritation, in accessing value of advertisements displayed on social networking sites.
Significance of Word and Syllable Level Information for Expressive Speech Processing

In general, human beings make use of expressions (emotions) through speech, facial movements and gestures for conveying the crucial information. Mostly, expressions in speech can be attributed to longer segments, i.e., suprasegmental features also known to be prosodic features. In this paper we analyze the expressions in speech using prosodic features from utterance level, word level and syllable level. The emotions considered for the analysis are anger,compassion, happy and neutral. The prosodic features used in the analysis are duration, intonation (pitch) and energy. The analysis is performed on SUSE (Speech Under Simulated Emotion) database. The results of the analysis are used for synthesizing the expressions in neutral speech. The synthesis experiments using the features from utterance level to syllable level showed that a steady improvement in the quality of speech for the desired expressions.
Lrp, a major regulatory protein in Escherichia coli, bends DNA and can organize the assembly of a higher‐order nucleoprotein structure.

Lrp (Leucine‐responsive regulatory protein) is a global regulatory protein that controls the expression of many operons in Escherichia coli. One of those operons, ilvIH, contains six Lrp binding sites located within a several hundred base pair region upstream of the promoter region. Analysis of the binding of Lrp to a set of circularly permuted DNA fragments from this region indicates that Lrp induces DNA bending. The results of DNase I footprinting experiments suggest that Lrp binding to this region facilitates the formation of a higher‐order nucleoprotein structure. To define more precisely the degree of bending associated with Lrp binding, one or two binding sites were separately cloned into a pBend vector and analyzed. Lrp induced a bend of approximately 52 degrees upon binding to a single binding site, and the angle of bending is increased to at least 135 degrees when Lrp binds to two adjacent sites. Lrp‐induced DNA bending, and a natural sequence‐directed bend that exists within ilvIH DNA, may be architectural elements that facilitate the assembly of a nucleoprotein complex.
MiRPara: A SVM-based software for prediction of mature miRNAs

miRPara, is a new software tool that predicts mature miRNA in a species specific manner based on three SVM trained models from a comprehensive set of different parameters related to the physical properties of the pre-miRNA and its miRNAs. It achieves an accuracy of up to 80% for animal and virus sequences against experimentally verified mature miRNAs predicted from long genome sequences, making it one of the most accurate methods available. Because of the greater diversity of the plant miRNAs, only 70% accuracy was achieved, but this was nevertheless more accurate than results obtained with other prediction software.
The Affordable Care Act and the Growth of Involuntary Part-Time Employment

This study tests whether the employer mandate under the Affordable Care Act (ACA) increased involuntary part-time (IPT) employment. Using data from the Current Population Survey between 1994 and 2015, the authors find that IPT employment in 2015 exceeded predictions based on economic conditions and the structure of the labor market. Of greater importance, using difference-in-difference methods, they find that the increase in the probability of IPT employment since passage of the ACA was greater in occupations with a larger share of workers affected by the mandate. The authors’ estimates suggest that approximately 700,000 additional workers without a college degree are in IPT employment as a result of the ACA employer mandate.
Evaluation of service quality of Nigerian airline using servqual model.

The study tries to evaluate the service quality of a Nigerian Airline with objectives todetermining what constitutes the service variables in the Nigerian air transport Industry, how satisfied are the passengers with the services of the above mentioned airline and suggest to managers of these airlines on how to improve and promote satisfaction level of passengers. Data was collected from the respondent using a well structured questionnaire to discover the perception of the passengers of the airline under study. The “SERVQUAL” model was utilized to analyze and determine the service quality gaps between the customer’s expectation and its perception of the service attributes. It was discovered from the result that aerocotractors airline exhibited a good service quality in the empathy, responsiveness and the technical dimension of their services but the reliability; tangible dimension needs a lot of improvement and generally a mean score of -5.71 showed a poor service level. On this ground, recommendations were made for airline managers to improve the service that exhibited a below expectation level of service and regular survey of their performance from their customers should be carried out to stay informed with the current needs of its passengers. Key words: Servqual, Tangibles, reliability, responsiveness, empathy, Technical and assurance.
Business Models for E-Commerce Data Translation Web Service Providers

This paper outlines different business models for e-commerce B2B Web service providers. Each model is described in terms of the technological solution, customer base, and capital investment. Even though the core engine for these providers is the data translator, there are different approaches to assemble a complete e-commerce data translation solution on the Web: software acquisition, in-house development, and outsourcing. Each approach leads to a different customer base and different capital development. Advantages and disadvantages of each model are thoroughly discussed, and the outlook of each model is projected in this current economy.
The effect of sports event tourism on event attitude and the brand equity of sportswear sponsors

The present study aims to understand the process through which sports event tourism experiences mediate event attitude and, consequently, the brand equity of sportswear sponsors. First, the results of the study show that of the four experiential components of sports event tourism (i.e., “sense”, “feel”, “think”, and “relate”), the “feel” and “relate” components were identified as antecedent variables that create positive event attitudes. Second, event attitude was found to have a significant effect on brand awareness and brand image, but the relationship between event attitude and brand loyalty was rejected. Third, for the brand equity of sportswear sponsors, brand awareness positively affected brand image and loyalty, and brand image positively affected brand loyalty. The results of the present study provide foundational data for sportswear marketers that engage in sports event sponsorship as a strategic marketing tool and for those who seek to devise effective communication strategies to increase brand equity through sports event tourism.