Miracle-dz/UniFAR-FTUs huggingface dataset:
Personality perception based on LinkedIn profiles

Purpose Job-related social networking websites (e.g. LinkedIn) are often used in the recruitment process because the profiles contain valuable information such as education level and work experience. The purpose of this paper is to investigate whether people can accurately infer a profile owner’s self-rated personality traits based on the profile on a job-related social networking site. Design/methodology/approach In two studies, raters inferred personality traits (the Big Five and self-presentation) from LinkedIn profiles (total n=275). The authors related those inferences to self-rated personality by the profile owner to test if the inferences were accurate. Findings Using information gained from a LinkedIn profile allowed for better inferences of extraversion and self-presentation of the profile owner (r’s of 0.24-0.29). Practical implications When using a LinkedIn profile to estimate trait extraversion or self-presentation, one becomes 1.5 times as likely to actually select the person with higher trait extraversion compared to the person with lower trait extraversion. Originality/value Although prior research tested whether profiles of social networking sites (such as Facebook) can be used to accurately infer self-rated personality, this was not yet tested for job-related social networking sites (such as LinkedIn). The results indicate that profiles at job-related social networks, in spite of containing only relatively standardized information, “leak” information about the owner’s personality.
Gain scheduler middleware: a methodology to enable existing controllers for networked control and teleoperation - part I: networked control

Conventionally, in order to control an application over a data network, a specific networked control or teleoperation algorithm to compensate network delay effects is usually required for controller design. Therefore, an existing controller has to be redesigned or replaced by a new controller system. This replacement process is usually costly, inconvenient, and time consuming. In this paper, a novel methodology to enable existing controllers for networked control and teleoperation by middleware is introduced. The proposed methodology uses middleware to modify the output of an existing controller based on a gain scheduling algorithm with respect to the current network traffic conditions. Since the existing controller can still be utilized, this approach could save much time and investment cost. Two examples of the middleware applied for networked control and teleoperation with IP network delays are given in these two companion papers. Part I of these two companion papers introduces the concept of the proposed middleware approach. Formulation, delay modeling, and optimal gain finding based on a cost function for a case study on DC motor speed control with a proportional-integral (PI) controller are also described. Simulation results of the PI controller shows that, with the existence of IP network delays, the middleware can effectively maintain the networked control system performance and stabilize the system. Part II of this paper will cover the use of the proposed middleware concept for a mobile robot teleoperation.
Virtual Training for a Manual Assembly Task

This paper describes an experiment conducted to investigate the benefits of force feedback for virtual reality training of a real task. Three groups of subjects received different levels of training before completing a manual task, the construction of a LEGO biplane model. One group trained on a Virtual Building Block (VBB) simulation, which emulated the real task in a virtual environment, including haptic feedback. A second group was also trained on the VBB system, but without the force feedback. The last group received no virtual reality training. Completion times were compared for these different groups in building the actual biplane model in the real world ANOVA analysis showed a significant change in performance due to training level.
Phycospheric Native Bacteria Pelagibaca bermudensis and Stappia sp. Ameliorate Biomass Productivity of Tetraselmis striata (KCTC1432BP) in Co-cultivation System through Mutualistic Interaction

Effective sustainable algal cultivation techniques are essential for mass production of the marine microalga Tetraselmis for biofuel and array of co-products. The phycospheric communities affect the microalgal growth and metabolism through various allelochemical and nutrient interactions; hence, their potential to affect the quantity and quality of both biomass and bioproducts is significant. In the present study, we have screened the phycospheric communities of biofuel producing Tetraselmis striata (KCTC1432BP). A total of 26 bacterial strains were isolated and identified from the phycosphere of T. striata mass culture. Then, each bacterial strain was tested in co-cultivation conditions with T. striata for evaluating its growth promoting and inhibitory effects. Among these all strains, two promising strains (Pelagibaca bermudensis KCTC 13073BP and Stappia sp. KCTC 13072BP) were selected because of their maximum growth promoting effects and mutualistic interactions. The growth rate, biomass productivity, lipid contents, and fatty acids were analyzed during their combined growth in O3 media and compared with axenic growth of T. striata. Later, growth promoting mechanisms in the co-cultivation environment were investigated for these promising bacterial strains under replete and limited conditions of nutrients (nitrate, phosphate, and vitamin B12). The growth promoting potential of P. bermudensis was illustrated by the two fold enhancement in biomass productivity. These bacteria are promising for microalgal cultivation without any negative effects on the native seawater bacterial communities, as revealed by next generation sequencing analysis. This study represents, to date, the first report highlighting the role of phycospheric growth promoting bacteria of promising biofuel feedstock T. striata.
The Influence of the Team Climate on Team Innovation performance: An Empirical Study Based on Chinese High Technology Innovation Teams

Team has become one of the most important strategic resources in the organization. However, the overall effect of team is often difficult to achieve in the practical application of team in China's enterprises. According to the investigation of high technology innovation teams and the relative literature reviews, the team climate is an important influencing factor for achieving the overall effect of team. Therefore, a conceptual model including five components of team climate (which are Leadership Behavior, Member Heterogeneity, Role Expectation, Team Trust, Team Commitment), and Team Innovation Performance, were set up. Further questionnaire survey was done, data were collected from 137 high-tech innovation teams in China and analyzed statistically using the Structural Equation Model (SEM) for testing the theoretical hypotheses. The conclusions were drawn that the components of team climate has interaction: Leadership Behavior, Member Heterogeneity and Role Expectation have significant influence on Team Trust and Team Commitment, Team Trust has a significant positive effect on Team Commitment. Moreover, the team climate has the strongly positively effect on team innovation performance, specifically, Member Heterogeneity and Role Expectation have significant positive effect on Team Innovation Performance through the full mediate impact of Team Trust and Team Commitment, while, Leadership Behavior have significant positive effect on Team Innovation Performance through the semi mediate impact of Team Trust and Team Commitment, namely, Leadership Behavior has directly impact on Team Innovation Performance as well as has indirectly impact on Team Innovation Performance by the mediate impact of Team Trust and Team Commitment.
Optimal high-frequency trading with limit and market orders

We propose a framework for studying optimal market-making policies in a limit order book (LOB). The bid–ask spread of the LOB is modeled by a tick-valued continuous-time Markov chain. We consider a small agent who continuously submits limit buy/sell orders at best bid/ask quotes, and may also set limit orders at best bid (resp. ask) plus (resp. minus) a tick for obtaining execution order priority, which is a crucial issue in high-frequency trading. The agent faces an execution risk since her limit orders are executed only when they meet counterpart market orders. She is also subject to inventory risk due to price volatility when holding the risky asset. The agent can then also choose to trade with market orders, and therefore obtain immediate execution, but at a less favorable price. The objective of the market maker is to maximize her expected utility from revenue over a short-term horizon by a trade-off between limit and market orders, while controlling her inventory position. This is formulated as a mixed regime switching regular/impulse control problem that we characterize in terms of a quasi-variational system by dynamic programming methods. Calibration procedures are derived for estimating the transition matrix and intensity parameters for the spread and for Cox processes modelling the execution of limit orders. We provide an explicit backward splitting scheme for solving the problem and show how it can be reduced to a system of simple equations involving only the inventory and spread variables. Several computational tests are performed both on simulated and real data, and illustrate the impact and profit when considering execution priority in limit orders and market orders.
The Effect of the Sales Tax on Retail Prices and Employment : Evidence from Exemptions on Clothing

Using frequent state and local policy revisions of apparel tax exemptions in Connecticut, New York and Vermont, I study how the sales tax affects the retail market for apparel. First, I present new evidence on the effect of the sales tax on pre-tax prices, the pass-through rate. Unlike the previous literature on this topic, I employ detailed item-level data on prices, use large good-specific changes in the tax rate and explicitly control for policy endogeneity related to business cycles. Using triple-difference IV estimation, I find that the pass-through rate is generally small and negative. This implies that consumers fully bear the burden of the sales tax with some exceptions. The burden partially shifts onto suppliers for certain apparel groups—non-seasonal goods, girls apparel, and footwear—with arguably higher elasticities of demand. The almost full shifting onto consumers is surprising given the well-documented fact that the demand for apparel at local stores is quite elastic. The lack of response suggests even more elastic supply and also that equilibrium output and, hence, inputs should decrease in response to a tax increase. I use the Quarterly Census of Employment and Wages along with apparel exemptions and estimate that county employment in the retail apparel sector decreases by 0.40% following a one percentage point increase in the sales tax. This effect indicates that a 4% sales tax exemption in New York State leads to about 2,150 new jobs, which is approximately the average county employment in this sector. To my knowledge, this is the first evidence of a strong connection between sales tax and employment. Finally, using the Consumer Expenditure Survey data, I find that a 5% sales tax rate generates a 17 average deadweight loss for every tax dollar collected.
Learning globally consistent maps by relaxation

Mobile robots require the ability to build their own maps to operate in unknown environments. A fundamental problem is that odometry-based dead reckoning cannot be used to assign accurate global position information to a map because of drift errors caused by wheel slippage. The paper introduces a fast, online method of learning globally consistent maps, using only local metric information. The approach differs from previous work in that it is computationally cheap, easy to implement and is guaranteed to find a globally optimal solution. Experiments are presented in which large, complex environments were successfully mapped by a real robot, and quantitative performance measures are used to assess the quality of the maps obtained.
Targeting tumor-associated macrophages in an orthotopic murine model of diffuse malignant mesothelioma

Tumors are a mixture of neoplastic and host stromal cells, which establish a microenvironment that contributes to tumor progression. In this study, the contribution of tumor-associated macrophages (TAMs) to tumor growth and metastasis was examined using an orthotopic, immunocompetent murine model of diffuse malignant peritoneal mesothelioma. The expression profile of cytokines and chemokines in solid tumors was consistent with a M2-polarized, TAM-mediated immunosuppressive microenvironment. TAMs were targeted using liposome-encapsulated clodronate (CLIP). Exposure of tumor spheroids to CM-DiI-labeled CLIP in situ confirms targeting of macrophages and not mesothelioma cells. Intraperitoneal (i.p.) delivery of CLIP produced apoptosis in tumor spheroids and solid tumors in contrast to delivery of liposome-encapsulated PBS or PBS. Mice received an i.p. injection of mesothelioma cells with CLIP delivered i.p. every 5 days. This treatment protocol produces a 4-fold reduction in the number of tumors, a 17-fold reduction in the relative tumor burden, and a 5-fold reduction in invasion and metastasis when compared with mice exposed to liposome-encapsulated PBS or PBS. Following transplantation of tumor spheroids and treatment with CLIP, mice showed a 4-fold reduction in the number of tumors and a 15-fold reduction in relative tumor burden. Mice bearing established tumors showed a 2-fold reduction in the number of tumors and relative tumor burden when exposed to half the previous dose of CLIP delivered by repeated i.p. injection. These reductions in tumor burden are statistically significant and identify TAMs as an important host-derived cell that contributes to growth, invasion, and metastasis in diffuse malignant peritoneal mesothelioma. [Mol Cancer Ther 2008;7(4):788–99]
Nutritional status, feeding practice and incidence of infectious diseases among children aged 6 to 18 months in northern mountainous Vietnam.

OBJECTIVE To assess the prevalence of undernutrition, incidence of infectious diseases and the situation of feeding practices to determine the risk factors for undernutrition among children aged 6 to 18 months in rural Vietnam. DESIGN A cross-sectional study was conducted among one hundred eighty-eight mother-child pairs in Bac Giang, Vietnam. Weight and height of the children were measured and referred to data from the WHO/CDC/NCHS. Incidence of infectious diseases was diagnosed based on the WHO Recommended Surveillance Standards. Data on socio-demographic variables and feeding practices were obtained through a structured questionnaire. RESULT The prevalence of underweight, stunting and wasting was 19.7%, 23.4% and 5.3%, respectively. The incidence of diarrhea and acute respiratory infections (ARIs) during the last 14 days of the interview was 12.2% and 20.2%, respectively. Although 99% of the children were breastfed, the prevalence of exclusive breastfeeding in the first 4 mo was 21.3%. Non-exclusive breastfeeding in the first 4 month (OR 3.95, p=0.025) and low birth weight (OR 4.38, p=0.009) were associated with underweight in the children, while incidence of infectious disease was not (OR 1.16, p=0.734). CONCLUSION Undernutrition is highly prevalent in the study site and non-exclusive breast feeding is one of the risk factors.
Adaptive rate DS-CDMA systems using variable spreading factors

In this contribution, adaptive rate transmissions are investigated in the context of direct-sequence code-division multiple-access (DS-CDMA) systems using variable spreading factors (VSFs). In the context of the recently established family of adaptive rate-transmission schemes, the transmission rate is typically adapted in response to the channel's fading-induced quality fluctuation. By contrast, in this contribution the transmission rate is adapted in response to the multiuser interference fluctuations encountered. We present the philosophy of the proposed adaptive rate-transmission scheme and analyze the effective throughput as well as the achievable bit error rate (BER) performance, when communicating over additive white Gaussian noise channels. Our study shows that by employing the proposed VSF-assisted adaptive rate-transmission scheme, the effective throughput may be increased by up to 40%, when compared to that of DS-CDMA systems using constant spreading factors. This increased throughput is achieved without wasting power, without imposing extra interference upon other users, and without increasing the BER.
Body Size, but Not Cooling Rate, Affects Supercooling Points in the Red Imported Fire Ant, Solenopsis invicta

The level of an animal’s stress resistance is set by multiple intrinsic physiological and extrinsic environmental parameters. Body size is a critical intrinsic parameter that affects numerous fitness-related organismal traits including fecundity, survival, mating success, and stress resistance. The rate of cooling is a critical extrinsic environmental factor that can affect thermal stress resistance. Workers of the red imported fire ant, Solenopsis invicta Buren (Hymenoptera: Formicidae), display considerable variation in adult body size. Therefore, developing ecologically realistic models of thermotolerance in this species requires a consideration of body size. We tested the hypothesis that body size and cooling rate would interact to set the supercooling point in fire ant workers by exposing workers of a range of body sizes to three different cooling regimens: a very fast ramp of −10°C/min, an intermediate ramp of −1°C/min, and an ecologically relevant slow ramp of −0.1°C/min. Specifically, we asked whether large workers were more susceptible to differences in cooling rate than smaller workers. We found that body size had a considerable effect on supercooling point with the largest workers freezing at a temperature ∼3°C higher than the smallest workers. Cooling rate had a very small effect on supercooling point, and there was no interaction between the two factors. Therefore, the allometry of supercooling points across the range of worker body sizes does not change with cooling rate.
Surplus Free Cash Flow, Earnings Management and Audit Committee

The objective of this study is to examine whether high surplus free cash flow is related to earnings management. This study hypothesizes managers of high surplus free cash flow companies have incentive to engage in earnings management. However, earnings management occurs less frequently when the audit committee is more independent. Independent audit committees provide an effective monitoring over earnings management practices. This study expects that the positive relationship between surplus free cash flow and earnings management is moderated by independent audit committee. Using a sample of 155 companies listed on the main board of Bursa Malaysia in 2001, this study obtains empirical evidence consistent with the prediction in all hypotheses. This study shows that independent audit committee help companies with high surplus free cash flow to reduce income increasing earnings management practices.
The Response of Infants to a Large Dose of Water

Whatever the mechanisms involved, the response of the adult kidney to a large dose of water has three characteristics: (1) a great increase in the flow of urine; (2) an extensive fall in its osmolar concentration; (3) the excretion of a volume of urine within a few hours and before the flow of urine subsides which is roughly equal to that of the water administered.
The proteome of the heterocyst cell wall in Anabaena sp. PCC 7120

Abstract Anabaena sp. PCC 7120 is a filamentous cyanobacterium that serves as a model to analyze prokaryotic cell differentiation, evolutionary development of plastids, and the regulation of nitrogen fixation. The cell wall is the cellular structure in contact with the surrounding medium. To understand the dynamics of the cell wall proteome during cell differentiation, the cell wall from Anabaena heterocysts was enriched and analyzed. In line with the recently proposed continuity of the outer membrane along the Anabaena filament, most of the proteins identified in the heterocyst cell-wall fraction are also present in the cell wall of vegetative cells, even though the lipid content of both membranes is different.
Relations between Privacy Behaviors and Social Capital on Facebook

Abstract Based on the premises of Social Exchange theory, we set out to explore the nature of the relationships between users’ privacy behaviors and social capital on Facebook to determine whether decreasing user privacy contributes to achieving more social capital and, if so, how that mechanism of exchange works. The research was conducted with 140 Israeli Facebook users via questionnaires. A quantitative analysis employing the statistical package SPSS was carried out. Four privacy behaviors were measured, reflecting users’ privacy “investments”: friend selectivity, number of friends, privacy control settings and personal information exposure. User benefit from the network was assessed using two variables: bonding and bridging social capital. Privacy was found to be associated with social capital in a complex way which includes mediation effects, supporting the concept of balance and regulation between privacy behaviors. Privacy has some sway over the creation of social capital in online social networks, as part of a complex model of balance and adjustment. This study’s results suggest possible future applications by online social network designers and users.
What is the evidence for chronic concussion-related changes in retired athletes: behavioural, pathological and clinical outcomes?

Objective The purpose of this paper was to review the current state of evidence for chronic traumatic encephalopathy (CTE) in retired athletes and to consider the potential differential diagnoses that require consideration when retired athletes present with cognitive and psychiatric problems. Data sources MEDLINE, CINAHL, EMBASE, Mosby's Index, PsycEXTRA, PsycINFO and Scopus. Key words included CTE, dementia pugilistica, punch drunk syndrome, traumatic encephalopathy, CTE, repetitive head injury, sports concussion, multiple concussions, chronic concussions, subconcussive blow and sports-related traumatic brain injury. Results At present, there are no published epidemiological, cross-sectional or prospective studies relating to modern CTE. Owing to the nature of the published studies, being case reports or pathological case series, it is not possible to determine the causality or risk factors with any certainty. As such, the speculation that repeated concussion or subconcussive impacts cause CTE remains unproven. The extent to which age-related changes, psychiatric or mental health illness, alcohol/drug use or coexisting dementing illnesses contribute to this process is largely unaccounted for in the published literature. Conclusions At present, the interpretation of causation in the modern CTE case studies should proceed cautiously. The causal assumptions require further prospective or longitudinal studies on the topic.
Mobile Outdoor Gaze-Based GeoHCI

This position paper considers location-aware mobile gazebased interaction. In this form of interaction three types of spatial information can be used: a) the user’s location, b) gazes at the geo-content displayed on the screen, c) gazes at objects in the real world. We summarize current work and outline future challenges.