Miracle-dz/UniFAR-FTUs huggingface dataset:
Dull to Social Acceptance Rather than Sensitivity to Social Ostracism in Interpersonal Interaction for Depression: Behavioral and Electrophysiological Evidence from Cyberball Tasks

Objectives: Impairments in interpersonal relationships in depression present as irritability, pessimism, and withdrawal, and play an important role in the onset and maintenance of the disorder. However, we know little about the neurological causes of this impaired interpersonal function. This study used the event-related brain potential (ERP) version of the Cyberball paradigm to investigate the emotions and neural activities in depressive patients during social inclusion and exclusion simultaneously to explore neuropsychological mechanisms. Methods: Electrophysiological data were recorded when 27 depressed patients and 23 healthy controls (HCs) performed a virtual ball tossing game (Cyberball) during which the participants believed they were playing with two other co-players over the internet. The Cyberball paradigm included two other conditions; inclusion during which participants received the ball with the same probability as the other players to experience a feeling of acceptance, and exclusion during which the participants experienced a feeling of ostracism when the other two players threw the ball with each other. The Positive and Negative Affect Schedule (PANAS) was used as a baseline and after each block during the Cyberball to assess positive and negative effects. In addition, a brief Need-Threat Scale (NTS) was used to assess the fulfillment of basic needs of subjects after each block and 10 min after ostracism. Moreover, the relationship between the ERP data of depression and clinical symptoms was analyzed. Results: Exclusion compared to inclusion Cyberball caused a decrease in positive affect and an increase in negative affect. The group differences were only found in the positive affect. Moreover, patients reported a lower level of basic needs than did HCs after social inclusion, but a similar level of basic needs after social exclusion. At the electrophysiological level, patients showed decreased P3 amplitudes compared to HCs in social inclusion, and P3 amplitudes were borderline negatively correlated with their scores of anhedonia symptoms. Limitations: A limitation of our study was that the subjects' criteria were different. Conclusions: The behavioral and electrophysiological results indicated that the interpersonal problems in depressive patients were mainly due to deficits in processing the pleasurable social stimuli rather than aversive social cues.
Interactive Coin Addition: How Hands Can Help Us Think

Does using our hands help us to add the value of a set of coins? We test the benefits and costs of direct interaction with a mental arithmetic task in a computerized yoked design in which groups of participants vary in their interactive mode (move vs. look) and the initial configuration of coins (pseudo-random vs. another mover’s final layout). By assessing performance and conducting a microgenetic analysis of the strategies employed we argue that the purpose of movement is the result, rather than the process of moving. Participants move coins in order to sort, rather than to mark, and select them by value, rather than by location. They spontaneously create remarkably smart solutions, thereby incidentally creating physical configurations that can help other problem solvers.
A confidence measure for vehicle tracking based on a generalization of Bayes estimation

In safety-critical driver assistance systems such as automatic emergency braking that require the estimation of the vehicle's environment usually a measure of confidence or probability of existence for tracked objects is required. We review and assess existing approaches of obtaining such measures. We propose a new method of computing a probability of existence by relaxing the underlying assumption of a Bayes estimator. The benefits of this approach compared to a standard Bayes estimator are demonstrated and illustrated by experimental results.
Bilateral Primary Pterygia: An Occupational Disease?

The authors report on a case of bilateral pterygia that the Israeli Social Security Service acknowledged to be an occupational disease. The question of whether certain occupations are risk factors for pterygia has important medico-legal implications. The authors sought to shed more light on this issue through a case report of bilateral simultaneous pterygia in an Israeli tennis instructor and through a literature review. Results indicate that most studies show a strong relation between pterygia formation and outdoor work with exposure to UV rays. Also, the patient refused to use protective eyewear during his long outdoor working hours and, by doing so, exposed his eyes to excessive sunlight, which led to occupational disease.
Investigation in a Model System of the Effects of Combinations of Anthrax and Pertussis Vaccines Administered to Service Personnel in the 1991Gulf War

The toxicity and immunogenicity of the anthrax and pertussis vaccine combinations used in the 1991 Gulf War was assessed in NIH, A/J and Balb/c mice. Inoculation of pertussis vaccines, vaccine combinations, or aluminium salt caused illness, splenomegaly and significant weight loss. Although some animals recovered eventually, a lethal form of ascites developed in some NIH mice and body weights of A/J and Balb/c mice remained below normal levels. Inoculation of anthrax vaccine produced little effect. Exposure to diluted vaccine combinations produced less serious side effects of shorter duration. Single vaccinations induced specific IgG1 antibodies whereas a mixture of IgG1 and IgG2a was produced after multiple injections. Antigen stimulation of spleen cells from mice exposed to pertussis vaccines induced high levels of NO and IL-6, whereas stimulated spleen cells from mice exposed to anthrax vaccine produced only low levels of IL-6. In mice, pertussis vaccines act as an adjuvant for anthrax vaccine, but these vaccines are also the major cause of toxicity of the vaccine combination. The relatively high vaccine dose used, together with the low sensitivity of mice to anthrax toxin, emphasises that caution should be exercised in applying these results to human recipients of these vaccines.
Multiple Unit Pooled Umbilical Cord Blood is a Viable Source of Therapeutic Regulatory T Cells

Background Regulatory T cells (Treg) are potentially a useful therapeutic option for the treatment of immunopathological conditions including graft-versus-host disease. Umbilical cord blood (UCB) offers certain advantages over adult peripheral blood (APB) as a source of Treg for cellular therapy but yields far fewer Treg per unit. Pooling of Treg from multiple donors may overcome this challenge. Methods In this study, we assessed the in vitro and in vivo efficacy of multiple donor pooled UCB or APB-derived Treg. Results In vitro, pooled freshly isolated UCB-derived Treg were as suppressive as APB-derived Treg. However, in a mouse model of human skin allodestruction, pooled UCB-derived Treg were more potent at suppressing alloresponses and prolonging skin survival compared with pooled APB-derived Treg. Improved survival of UCB Treg in an in vivo cell survival assay and their lower expression of human leukocyte antigen-ABC suggested that lower immunogenicity may account for their superior efficacy in vivo. Conclusion Multiple-unit UCB is therefore a viable source of human Treg for cellular therapy, and pooling of Treg from multiple donors offers a useful strategy for achieving required therapeutic doses.
Increased Anatomical Specificity of Neuromodulation via Modulated Focused Ultrasound

Transcranial ultrasound can alter brain function transiently and nondestructively, offering a new tool to study brain function now and inform future therapies. Previous research on neuromodulation implemented pulsed low-frequency (250–700 kHz) ultrasound with spatial peak temporal average intensities (ISPTA) of 0.1–10 W/cm2. That work used transducers that either insonified relatively large volumes of mouse brain (several mL) with relatively low-frequency ultrasound and produced bilateral motor responses, or relatively small volumes of brain (on the order of 0.06 mL) with relatively high-frequency ultrasound that produced unilateral motor responses. This study seeks to increase anatomical specificity to neuromodulation with modulated focused ultrasound (mFU). Here, ‘modulated’ means modifying a focused 2-MHz carrier signal dynamically with a 500-kHz signal as in vibro-acoustography, thereby creating a low-frequency but small volume (approximately 0.015 mL) source of neuromodulation. Application of transcranial mFU to lightly anesthetized mice produced various motor movements with high spatial selectivity (on the order of 1 mm) that scaled with the temporal average ultrasound intensity. Alone, mFU and focused ultrasound (FUS) each induced motor activity, including unilateral motions, though anatomical location and type of motion varied. Future work should include larger animal models to determine the relative efficacy of mFU versus FUS. Other studies should determine the biophysical processes through which they act. Also of interest is exploration of the potential research and clinical applications for targeted, transcranial neuromodulation created by modulated focused ultrasound, especially mFU’s ability to produce compact sources of ultrasound at the very low frequencies (10–100s of Hertz) that are commensurate with the natural frequencies of the brain.
WHAT IMPACT DOES TRAINING HAVE ON EMPLOYEE COMMITMENT AND EMPLOYEE TURNOVER

Training is of growing importance to companies seeking to gain an advantage among competitors. There is significant debate among professionals and scholars as to the affect that training has on both employee and organizational goals. One school of thought argues that training leads to an increase in turnover while the other states that training is a tool to that can lead to higher levels of employee retention (Colarelli & Montei, 1996; Becker, 1993). Regardless of where one falls within this debate, most professionals agree that employee training is a complex human resource practice that can significantly impact a company’s success. The training industry as a whole has shown significant growth through the years. Statistics indicate that investment in training is continuing to grow as more and more companies realize its importance. In 1995, $7.7 billion was spent on the wages and salaries of in-house company trainers and $2.8 billion was spent on tuition reimbursement (Frazis, Gittleman, Horrigan, Joyce, 1998). The American Society for Training and Development found that in 2004, the average annual training expenditure per employee was $955, which is an increase of $135 per employee from the previous year. The number of formal learning hours per employee also rose from 26 hours in 2003, to 32 hours in 2004 (atsd.com, 2005). As the investment in various training programs continue to rise, it becomes even more imperative for employers to understand the impact that training has on their organization.
Actor-Critic Algorithms for Risk-Sensitive

In many sequential decision-making problems we may want to manage risk by minimizing some measure of variability in rewards in addition to maximizing a standard criterion. Variance-related risk measures are among the most common risk-sensitive criteria in finance and operations research. However, optimizing many such criteria is known to be a hard problem. In this paper, we consider both discounted and average reward Markov decision processes. For each formulation, we first define a measure of variability for a policy, which in turn gives us a set of risk-sensitive criteria to optimize. For each of these criteria, we derive a formula for computing its gradient. We then devise actor-critic algorithms for estimating the gradient and updating the policy parameters in the ascent direction. We establish the convergence of our algorithms to locally risk-sensitive optimal policies. Finally, we demonstrate the usefulness of our algorithms in a traffic signal control application.
Antimicrobial Resistance Genotype Trend and Its Association with Host Clinical Characteristics in Respiratory Isolates of Haemophilus influenzae

Background: β-Lactam resistance genotype trends in clinical isolates of Haemophilus influenzae and their correlation with the clinical background were analyzed. Methods: Five hundred and ten respiratory isolates of H. influenzae collected during the period 2002–2009 were classified by PCR into gBLNAS (genotype for β-lactamase-negative ampicillin-susceptible), gBLNAR (genotype for β-lactamase-negative ampicillin-resistant) and 3 other genotypes. The associations with host clinical data and antimicrobial susceptibility were analyzed in all 144 isolates between 2008 and 2009. Results: The 8-year trend analysis detected an increase in gBLNAR with a decrease in gBLNAS. The probability of being a causative pathogen did not differ between genotypes. Host clinical characteristics such as age and gender did not differ with gBLNAR or gBLNAS, but the underlying respiratory diseases did differ. gBLNAR was found at the highest rate in 83% of isolates from patients with nontuberculous mycobacteriosis. In contrast, gBLNAR accounted for as little as 33% of isolates from chronic obstructive pulmonary disease. Conclusions: There were no differences in the pathogenicity of gBLNAR and gBLNAS. The underlying respiratory diseases may be related to the resistance genotype.
Gestures, Shapes and Multitouch Interaction

We discuss issues related to the design of a multitouch gesture sensing environment, allowing the user to execute both independent and coordinated gestures. We discuss different approaches, comparing frontal vs. back projection devices and gesture tracking vs. shape recognition. To compare the approaches we introduce a simple gesture language for drawing diagrams. A test multitouch device built around FTIR technology is illustrated; a vision system, driven by a visual dataflow programming environment, interprets the user gestures and classifies them into a set of predefined patterns, corresponding to language commands.
Standardized Protocol Stack for the Internet of (Important) Things

We have witnessed the Fixed Internet emerging with virtually every computer being connected today; we are currently witnessing the emergence of the Mobile Internet with the exponential explosion of smart phones, tablets and net-books. However, both will be dwarfed by the anticipated emergence of the Internet of Things (IoT), in which everyday objects are able to connect to the Internet, tweet or be queried. Whilst the impact onto economies and societies around the world is undisputed, the technologies facilitating such a ubiquitous connectivity have struggled so far and only recently commenced to take shape. To this end, this paper introduces in a timely manner and for the first time the wireless communications stack the industry believes to meet the important criteria of power-efficiency, reliability and Internet connectivity. Industrial applications have been the early adopters of this stack, which has become the de-facto standard, thereby bootstrapping early IoT developments with already thousands of wireless nodes deployed. Corroborated throughout this paper and by emerging industry alliances, we believe that a standardized approach, using latest developments in the IEEE 802.15. 4 and IETF working groups, is the only way forward. We introduce and relate key embodiments of the power-efficient IEEE 802.15. 4-2006 PHY layer, the power-saving and reliable IEEE 802.15. 4e MAC layer, the IETF 6LoWPAN adaptation layer enabling universal Internet connectivity, the IETF ROLL routing protocol enabling availability, and finally the IETF CoAP enabling seamless transport and support of Internet applications. The protocol stack proposed in the present work converges towards the standardized notations of the ISO/OSI and TCP/IP stacks. What thus seemed impossible some years back, i.e., building a clearly defined, standards-compliant and Internet-compliant stack given the extreme restrictions of IoT networks, is commencing to become reality.
Novel Biological Approaches for Testing the Contributions of Single DSBs and DSB Clusters to the Biological Effects of High LET Radiation

The adverse biological effects of ionizing radiation (IR) are commonly attributed to the generation of DNA double-strand breaks (DSBs). IR-induced DSBs are generated by clusters of ionizations, bear damaged terminal nucleotides, and frequently comprise base damages and single-strand breaks in the vicinity generating a unique DNA damage-clustering effect that increases DSB “complexity. ” The number of ionizations in clusters of different radiation modalities increases with increasing linear energy transfer (LET), and is thought to determine the long-known LET-dependence of the relative biological effectiveness (RBE). Multiple ionizations may also lead to the formation of DSB clusters, comprising two or more DSBs that destabilize chromatin further and compromise overall processing. DSB complexity and DSB-cluster formation are increasingly considered in the development of mathematical models of radiation action, which are then “tested” by fitting available experimental data. Despite a plethora of such mathematical models the ultimate goal, i.e., the “a priori” prediction of the radiation effect, has not yet been achieved. The difficulty partly arises from unsurmountable difficulties in testing the fundamental assumptions of such mathematical models in defined biological model systems capable of providing conclusive answers. Recently, revolutionary advances in methods allowing the generation of enzymatic DSBs at random or in well-defined locations in the genome, generate unique testing opportunities for several key assumptions frequently fed into mathematical modeling – including the role of DSB clusters in the overall effect. Here, we review the problematic of DSB-cluster formation in radiation action and present novel biological technologies that promise to revolutionize the way we address the biological consequences of such lesions. We describe new ways of exploiting the I-SceI endonuclease to generate DSB-clusters at random locations in the genome and describe the possible utility of Zn-finger nucleases and of TALENs in generating DSBs at defined genomic locations. Finally, we describe ways to harness the revolution of CRISPR/Cas9 technology to advance our understanding of the biological effects of DSBs. Collectively, these approaches promise to improve the focus of mathematical modeling of radiation action by providing testing opportunities for key assumptions on the underlying biology. They are also likely to further strengthen interactions between experimental radiation biologists and mathematical modelers.
A study of biofilm-based wound management in subjects with critical limb ischaemia.

OBJECTIVE Bacterial biofilms cause or complicate numerous medical conditions, including chronic wounds. Biofilm-based wound care (BBWC) management strategies that suppress biofilm have been designed and are used extensively at the Southwest Regional Wound Care Center in Lubbock, Texas and are described in this article. This retrospective single-centre study was designed to evaluate the frequency of complete healing in subjects with a chronic wound in a limb with critical limb ischaemia (CLI) when managed using BBWC. METHOD Of the 4500 subjects admitted with wounds between August 2002 and January 2006, 1400 subjects' TCpO2 levels were measured, and 266 included were identified as having CLI (TCpO2 < 20mmHg). Of these, 190 subjects were considered in the analysis because they received a substantial course of therapy (more than five visits). Each subject was individually managed to reinforce natural healing and suppress bacterial biofilm. Successful healing was defined as complete closure by March 2007. RESULTS Of the 190 subjects with CLI, 146 (77%) healed completely, and 44 (23%) were categorised as non-healing. The healed group included 47% (68/146) with osteomyelitis and 69% (101/146) with diabetes mellitus. In the non-healed group, 75% (33/44) had osteomyelitis and 77% (34/44) had diabetes mellitus. Ninety-one per cent (30/33) of the subjects without osteomyelitis or diabetes mellitus healed, and 67% (53/79) of the subjects with both osteomyelitis and diabetes mellitus healed. CONCLUSION When comparing the healing frequency in this study with a previously published study, BBWC strategies significantly improved healing frequency. These findings demonstrate that effectively managing the biofilm in chronic wounds is an important component of consistently transforming 'non-healable' wounds into healable wounds.
Achievable rates and energy efficiency in cognitive radio channels with sensing errors

In this paper, achievable rates and energy efficiency in cognitive radio channels are analyzed in the presence of sensing errors. The cognitive secondary users are initially assumed to perform channel sensing and then enter into data transmission phase. Under sensing uncertainty and Gaussian primary user interference assumptions, additive disturbance experienced at the secondary receiver is seen to have a Gaussian mixture density. Achievable rates under such assumptions are examined and a closed-form rate expression is determined. An outage capacity formulation is also derived. Finally, energy efficiency is analyzed by investigating the minimum energy per bit and wideband slope expressions in the low-SNR regime. Through this analysis, tradeoffs and interactions between sensing parameters, sensing performance, throughput, transmission energy, and energy efficiency are identified.
Immunoneutralization of Endogenous Glucagon Reduces Hepatic Glucose Output and Improves Long-Term Glycemic Control in Diabetic ob/ob Mice

In type 2 diabetes, glucagon levels are elevated in relation to the prevailing insulin and glucose levels. The relative hyperglucagonemia is linked to increased hepatic glucose output (HGO) and hyperglycemia. Antagonizing the effects of glucagon is therefore considered an attractive target for treatment of type 2 diabetes. In the current study, effects of eliminating glucagon signaling with a glucagon monoclonal antibody (mAb) were investigated in the diabetic ob/ob mouse. Acute effects of inhibiting glucagon action were studied by an oral glucose tolerance test (OGTT) and by measurement of HGO. In addition, the effects of subchronic (5 and 14 days) glucagon mAb treatment on plasma glucose, insulin, triglycerides, and HbA1c (A1C) levels were investigated. Glucagon mAb treatment reduced the area under the curve for glucose after an OGTT, reduced HGO, and increased the rate of hepatic glycogen synthesis. Glucagon mAb treatment for 5 days lowered plasma glucose and triglyceride levels, whereas 14 days of glucagon mAb treatment reduced A1C. In conclusion, acute and subchronic neutralization of endogenous glucagon improves glycemic control, thus supporting the contention that glucagon antagonism may represent a beneficial treatment of diabetes.
Construction of a hierarchical classifier schema using a combination of text-based and image-based approaches

Web document hierarchical classification approaches often rely on textual features alone even though web pages include multimedia data. We propose a new hierarchical integrated web classification approach that combines image-based and text-based approaches. Instead of using a flat classifier to combine text and image classification, we perform classification on a hierarchy differently on different levels of the tree, using text for branches and images only at leaves. The results of our experiments show that the use of the hierarchical structure improved web document classification performance significantly.