Miracle-dz/UniFAR-FTUs huggingface dataset:
Splenium development and early spoken language in human infants.

The association between developmental trajectories of language-related white matter fiber pathways from 6 to 24 months of age and individual differences in language production at 24 months of age was investigated. The splenium of the corpus callosum, a fiber pathway projecting through the posterior hub of the default mode network to occipital visual areas, was examined as well as pathways implicated in language function in the mature brain, including the arcuate fasciculi, uncinate fasciculi, and inferior longitudinal fasciculi. The hypothesis that the development of neural circuitry supporting domain-general orienting skills would relate to later language performance was tested in a large sample of typically developing infants. The present study included 77 infants with diffusion weighted MRI scans at 6, 12 and 24 months and language assessment at 24 months. The rate of change in splenium development varied significantly as a function of language production, such that children with greater change in fractional anisotropy (FA) from 6 to 24 months produced more words at 24 months. Contrary to findings from older children and adults, significant associations between language production and FA in the arcuate, uncinate, or left inferior longitudinal fasciculi were not observed. The current study highlights the importance of tracing brain development trajectories from infancy to fully elucidate emerging brain-behavior associations while also emphasizing the role of the splenium as a key node in the structural network that supports the acquisition of spoken language.
Occupancy Estimation in Smart Building using Hybrid CO2/Light Wireless Sensor Network

Smart building, which delivers useful services to residents at the lowest cost and maximum comfort, has gained increasing attention. HVAC equipment is a particularly expensive and energy consuming of building operation. A variety of emerging information technologies has been adopted. As a result, the concept of “demanddriven HVAC control” is a hot research topic. In this work, we investigated the issue of building occupancy estimation by using a wireless CO2 sensor network. The concentration level of indoor CO2 is a good indicator of the number of room occupants while protecting the personal privacy of building residents. Once indoor CO2 level is observed, HVAC equipment is aware of the number of room occupants. HVAC equipment can adjust its operation parameters to fit demands of these occupants. Thus, the desired quality of service is guaranteed with minimum energy dissipation. Excessive running of HVAC fans or pumps will be eliminated to conserve energy. Hence, the energy efficiency of smart buildings is improved significantly. The wireless sensor network was selected because it is tiny, cost effective, non-intrusive, easy to install and configure. We integrated CO2 and light sensors with a wireless sensor platform from Texas Instruments. Compare with existing occupancy detection methods, our proposed hybrid scheme achieves higher accuracy while keeping low cost and non-intrusiveness. Experimental results in an office environment show full functionality and validate benefits. This study paves the way for future research, where a wireless CO2 sensor network is connected with HVAC systems to realize fine-grained, energy efficient smart building.
Acromiohumeral distance in patients with rotator cuff tears and shoulder impingement

Objective: The aim of this study is to establish whether or not there is a relationship between acromiohumeral distance (AHD) and rotator cuff injury. Method: The study population consists of 50 patients (27 males, 23 females). AHD was measured using anteropsterior plain radiographs of the affected shoulder for each subject. It was compared with MRI findings of the same shoulder using the Chi-squared test. Results: From the Chi-squared test, it is found that Sig. = 0.370 which is < α/2=0.025. This means the naught hypothesis (there is no relationship between AHD and Rotator cuff injury) should be accepted with refusal of the alternative hypothesis (there is a relationship between AHD and rotator cuff injury). Conclusion: A correlation between AHD and rotator cuff injury was not found. It was slightly larger in males compared to females.
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time

User experience in modern content discovery applications critically depends on high-quality personalized recommendations. However, building systems that provide such recommendations presents a major challenge due to a massive pool of items, a large number of users, and requirements for recommendations to be responsive to user actions and generated on demand in real-time. Here we present Pixie, a scalable graph-based real-time recommender system that we developed and deployed at Pinterest. Given a set of user-specific pins as a query, Pixie selects in real-time from billions of possible pins those that are most related to the query. To generate recommendations, we develop Pixie Random Walk algorithm that utilizes the Pinterest object graph of 3 billion nodes and 17 billion edges. Experiments show that recommendations provided by Pixie lead up to 50% higher user engagement when compared to the previous Hadoop-based production system. Furthermore, we develop a graph pruning strategy at that leads to an additional 58% improvement in recommendations. Last, we discuss system aspects of Pixie, where a single server executes 1,200 recommendation requests per second with 60 millisecond latency. Today, systems backed by Pixie contribute to more than 80% of all user engagement on Pinterest.
Analysis of creep behaviour of TiAl-8Ta intermetallic alloy

The creep behaviour of a high Ta containing ? -TiAl alloy was investigated in the temperature range of 700? 850? C with applied stresses in order to have rupture times up to 3000 h. Decelerating primary and accelerating tertiary regimes dominated the experimental curves, whilst the secondary regime with constant minimum creep rates was absent. Reporting the experimental data in plot log vs. the tertiary data lie on lines with similar slopes at all temperature and load conditions, indicating that a damage mechanism, depending only on the accumulated creep strain causes the accelerating tertiary regime. Creep tests with step like changes in load and/or temperature changes were run and microstructure investigations were performed through X ray diffraction, scanning and transmission electron microscopy to have an insight on the nature of the damage mechanisms that control the accelerating tertiary regime.
Sequential Bargaining in the Field: Evidence from Millions of Online Bargaining Interactions

We study patterns of behavior in bilateral bargaining situations using a rich, new dataset describing over 88 million listings from eBay's Best Offer platform, with back-and-forth bargaining occurring in over 25 million of these listings. We document patterns of behavior and relate them to "rational" and "psychological" theories of bargaining and find that bargaining patterns are consistent with elements of both approaches. Most notably, players with more bargaining strength typically receive better outcomes, and players exhibit equitable behavior by making offers that split-the-difference between negotiating positions. We are publicly releasing this new dataset to support additional empirical bargaining research.
Use of robotic colonoscopy in patients with previous incomplete colonoscopy.

OBJECTIVE Conventional colonoscopy (CC) is the gold standard to diagnostic and therapeutic approach to colon. However, in few cases, cecal intubation could fail due to colon anatomy, patient compliance and physician expertise. Endotics robotic colonoscopy is a novel, safe, mini-invasive modality to explore the entire colon. Our aim was to assess, in a retrospective study, Endotics ability of cecal intubation in all cases in which CC failed. PATIENTS AND METHODS Between January 2008 and December 2012, 276 Endotics robotic colonscopy examinations were performed at the Gastroenterology and Metabolic Diseases Unit of Pisa University Hospital, Pisa, Italy, in a series of consecutive patients who had undergone CC and failed cecal intubation. RESULTS We assessed the cecal intubation rate in 102 patients addressed to Endotics after previous incomplete CC. Overall, endotics system was successful in 93.1% of the incomplete conventional colonoscopy cases (95% performance). CONCLUSIONS Whenever the intended exploration of the entire colon with CC failed, the endotics robotic endoscopy represented a useful tool as it helped examine the entire colon in almost all cases.
Dissociating Linguistic and Task-related Activity in the Left Inferior Frontal Gyrus

The left inferior frontal gyrus (LIFG) has long been claimed to play a key role in language function. However, there is considerable controversy as to whether regions within LIFG have specific linguistic or domain-general functions. Using fMRI, we contrasted linguistic and task-related effects by presenting simple and morphologically complex words while subjects performed a lexical decision (LD) task or passively listened (PL) without making an overt response. LIFG Brodmann's area 47 showed greater activation in LD than PL, whereas LIFG Brodmann's area 44 showed greater activation to complex compared with simple words in both tasks. These results dissociate task-driven and obligatory language processing in LIFG and suggest that PL is the paradigm of choice for probing the core aspects of the neural language system.
Integrated Change Detection and Classification in Urban Areas Based on Airborne Laser Scanning Point Clouds

This paper suggests a new approach for change detection (CD) in 3D point clouds. It combines classification and CD in one step using machine learning. The point cloud data of both epochs are merged for computing features of four types: features describing the point distribution, a feature relating to relative terrain elevation, features specific for the multi-target capability of laser scanning, and features combining the point clouds of both epochs to identify the change. All these features are merged in the points and then training samples are acquired to create the model for supervised classification, which is then applied to the whole study area. The final results reach an overall accuracy of over 90% for both epochs of eight classes: lost tree, new tree, lost building, new building, changed ground, unchanged building, unchanged tree, and unchanged ground.
Understanding Immune Resistance to Infectious Bronchitis Using Major Histocompatibility Complex Chicken Lines

SUMMARY Genetic resistance or susceptibility to infectious diseases has been largely associated with the avian major histocompatibility complex (MHC) genes. Our goal was to determine resistance and susceptibility of MHC B haplotype in congenic and inbred chicken lines in order to establish a resistant–susceptible model. Eight congenic lines (253/B18, 254/B15, 330/B21, 312/B24, 331/B2, 335/B19, 336/B21, and 342/BO), two inbred lines (003/B17 and 077/B19), and three commercial lines (white leghorn, brown layers, and broilers) were used in two experiments. We analyzed and compared immunologic responses and the effect of challenge by measuring viral load, IgG and IgA humoral responses, histopathology and histomorphometry, clinical signs, and immune cell populations in the different MHC B haplotype lines. We found that respiratory signs, tracheal deciliation and inflammation, airsacculitis, viral shedding in tears, and local humoral responses were good parameters to determine resistance or susceptibility. Based on these results, we identified 331/B2 as the most resistant and 335/B19 as the most susceptible congenic chicken lines. These two lines will be used as an animal model in subsequent experiments to understand the mechanisms by which the immune system in chickens generates resistance to infectious bronchitis virus.
8.6 A 2.5-to-5.75GHz 5mW 0.3psrms-jitter cascaded ring-based digital injection-locked clock multiplier in 65nm CMOS

Ring oscillator (RO)-based clock multipliers are traditionally used for clocking digital systems such as processors. While they are most commonly implemented using PLLs, it is becoming increasingly difficult to design them in a power efficient manner, as their jitter requirements grow more stringent. Recognizing that the main limitation of PLLs arises from limited RO noise suppression bandwidth (NBW = FREF/10), multiplying delay-locked loops (MDLLs) that suppress noise by replacing a RO's noisy edge with a clean reference clock edge have gained prominence [1–3]. Such an edge replacement operation suppresses RO noise with an increased NBW of about FREF/4 [1]. However, imperfections of edge replacement logic have limited the output frequency of MDLLs [1, 2] or degraded their jitter performance at frequencies beyond 2.5GHz [3]. Furthermore, MDLLs are susceptible to transistor non-idealities and require elaborate analog calibration schemes that are prone to circuit imperfections [2, 3]. In contrast to PLLs and MDLLs, injection-locked clock multipliers (ILCMs) lock RO frequency to an integer multiple (N) of FREF by injecting narrow pulses at FREF into the RO whose free running frequency is about NF REF [4]. Because ILCMs do not require logic that needs to adhere to stringent timing requirements (like MDLLs) they are better suited for generating high frequencies. However, their jitter performance is limited by: (i) smaller NBW (≈ FREF/6) compared to MDLLs, (ii) limited suppression of RO flicker noise due to their Type-I response, and (iii) the need for RO free running frequency, FFR, to be close to NFREF for maintaining low jitter performance across voltage and temperature. These factors limit the multiplication factor (usually to less than 10) and degrade power efficiency [4,5]. In this paper, we present an ILCM architecture that achieves a NBW of close to FREF/3 with a jitter of 335fsrms at 5GHz, while operating with FREF = 125MHz and consuming 5.3mW.
New atypical antipsychotics for schizophrenia: iloperidone

The optimal treatment of schizophrenia poses a challenge to develop more effective treatments and safer drugs, to overcome poor compliance, discontinuation and frequent switching with available antipsychotics. Iloperidone is a new dopamine type 2/serotonin type 2A (D2/5-HT2A) antagonist structurally related to risperidone, expected to give better efficacy with less extrapyramidal symptoms than D2 receptor antagonist antipsychotics. In double-blind phase III trials iloperidone reduced the symptoms of schizophrenia at oral doses from 12 to 24 mg. It was more effective than placebo in reducing positive and negative syndrome total score and Brief Psychiatric Rating scale scores; it was as effective as haloperidol and risperidone in post-hoc analysis. Its long-term efficacy was equivalent to that of haloperidol. The most common adverse events were dizziness, dry mouth, dyspepsia and somnolence, with few extrapyramidal symptoms and metabolic changes in short- and long-term studies in adults. Akathisia was rare, but prolongation of the corrected QT (QTc) interval was comparable to haloperidol and ziprasidone, which is of particular concern. Further comparative studies are needed to clarify the benefit/risk profile of iloperidone and its role in the treatment of schizophrenia.
A Proximal Bundle Method with Approximate Subgradient Linearizations

We give a proximal bundle method for minimizing a convex function $f$ over a closed convex set. It only requires evaluating $f$ and its subgradients with an accuracy $\epsilon>0$, which is fixed but possibly unknown. It asymptotically finds points that are $\epsilon$-optimal. When applied to Lagrangian relaxation, it allows for $\epsilon$-accurate solutions of Lagrangian subproblems and finds $\epsilon$-optimal solutions of convex programs.
Is the Tax Credit for SME in Chile an Effective Policy to Boost Investment

This paper evaluates the effect of the investment tax credit on investment decisions of small and medium enterprises (SME) and recommends future steps to the Chilean Government. Although this instrument has existed since 1990 and is available to all firms, the investment tax credit rate has recently been temporarily increased from 6% to 8% exclusively for SME. Using a sharp discontinuity regression design and administrative data, we estimate that this policy increased investment among non credit constrained firms by 30%. Our estimates suggest that 14.7% of the additional investment was financed with fiscal resources. The analysis also shows that the investment tax credit is more effective in targeting resources towards SME than alternative polices such as a bonus depreciation allowance, a cash flow based system and a corporate tax reduction.
Data Centers as Dispatchable Loads to Harness Stranded Power

We analyze how traditional data center placement and optimal placement of dispatchable data centers affect power grid efficiency. We use detailed network models, stochastic optimization formulations, and diverse renewable generation scenarios to perform our analysis. Our results reveal that significant spillage and stranded power will persist in power grids as wind power levels are increased. A counter-intuitive finding is that collocating data centers with inflexible loads next to wind farms has limited impacts on renewable portfolio standard (RPS) goals because it provides limited system-level flexibility. Such an approach can, in fact, increase stranded power and fossil-fueled generation. In contrast, optimally placing data centers that are dispatchable provides system-wide flexibility, reduces stranded power, and improves efficiency. In short, optimally placed dispatchable computing loads can enable better scaling to high RPS. In our case study, we find that these dispatchable computing loads are powered to 60-80% of their requested capacity, indicating that there are significant economic incentives provided by stranded power.
Effects of climate‐driven primary production change on marine food webs: implications for fisheries and conservation

Climate change is altering the rate and distribution of primary production in the world's oceans. Primary production is critical to maintaining biodiversity and supporting fishery catches, but predicting the response of populations to primary production change is complicated by predation and competition interactions. We simulated the effects of change in primary production on diverse marine ecosystems across a wide latitudinal range in Australia using the marine food web model Ecosim. We link models of primary production of lower trophic levels (phytoplankton and benthic producers) under climate change with Ecosim to predict changes in fishery catch, fishery value, biomass of animals of conservation interest, and indicators of community composition. Under a plausible climate change scenario, primary production will increase around Australia and generally this benefits fisheries catch and value and leads to increased biomass of threatened marine animals such as turtles and sharks. However, community composition is not strongly affected. Sensitivity analyses indicate overall positive linear responses of functional groups to primary production change. Responses are robust to the ecosystem type and the complexity of the model used. However, model formulations with more complex predation and competition interactions can reverse the expected responses for some species, resulting in catch declines for some fished species and localized declines of turtle and marine mammal populations under primary productivity increases. We conclude that climate‐driven primary production change needs to be considered by marine ecosystem managers and more specifically, that production increases can simultaneously benefit fisheries and conservation. Greater focus on incorporating predation and competition interactions into models will significantly improve the ability to identify species and industries most at risk from climate change.
The transtheoretical model of behavior change: a meta-analysis of applications to physical activity and exercise

The purpose of this study was to summarize findings from empirical applications of the transtheoretical model (TTM) (Prochaska & DiClemente, 1983) in the physical activity domain by using the quantitative method of meta-analysis. Ninety-one independent samples from 71 published reports were located that present empirical data on at least one core construct of the TTM applied to exercise and physical activity. In general, results support the application because core constructs differ across stages and most changes are in the direction predicted by the theory. Three general conclusions are offered. First, existing data are unable to confirm whether physical activity behavior change occurs in a series of stages that are qualitatively different or along adjacent segments of an underlying continuum. Second, the growing number of studies that incorporate TTM concepts means that there is an increasing need to standardize and improve the reliability of measurement. Finally, the role of processes of change needs reexamining because the higher order constructs are not apparent in the physical activity domain and stage-by-process interactions are not evident. There now are sufficient data to confirm that stage membership is associated with different levels of physical activity, self-efficacy, pros and cons, and processes of change. Further studies that simply stage participants or examine cross-sectional differences between core constructs of the TTM are of limited use. Future research should examine the moderators and mediators of stage transition.
Smokers’ Views on Personal Carbon Monoxide Monitors, Associated Apps, and Their Use: An Interview and Think-Aloud Study

Smartphone-based personal carbon monoxide (CO) monitors and associated apps, or “CO Smartphone Systems” (CSSs) for short, could enable smokers to independently monitor their smoking and quitting. This study explored views and preferences regarding CSSs and their use among 16 adult, UK-based smokers. First, semi-structured interviews explored participants’ expectations of CSSs. Secondly, a think-aloud study identified participants’ reactions to a personal CO monitor and to existing or prototype apps. Framework Analysis identified five themes: (1) General views, needs, and motivation to use CSSs; (2) Views on the personal CO monitor; (3) Practicalities of CSS use; (4) Desired features in associated apps; and (5) Factors affecting preferences for CSSs and their use. Participants had high expectations of CSSs and their potential to increase motivation. Priority app features included: easy CO testing journeys, relevant and motivating feedback, and recording of contextual data. Appearance and usability of the personal CO monitor, and accuracy and relevance of CO testing were considered important for engagement. Participants differed in their motivation to use and preferences for CSSs features and use, which might have non-trivial impact on evaluation efforts. Personal CO monitors and associated apps may be attractive tools for smokers, but making CSSs easy to use and evaluating these among different groups of smokers may be challenging.