Miracle-dz/UniFAR-FTUs huggingface dataset:
Two Sides of the Coin Problem

In the coin problem, one is given n independent flips of a coin that has bias b > 0 towards either Head or Tail. The goal is to decide which side the coin is biased towards, with high confidence. An optimal strategy for solving the coin problem is to apply the majority function on the n samples. This simple strategy works as long as b > c(1/sqrt n) for some constant c. However, computing majority is an impossible task for several natural computational models, such as bounded width read once branching programs and AC^0 circuits. Brody and Verbin proved that a length n, width w read once branching program cannot solve the coin problem for b < O(1/(log n)^w). This result was tightened by Steinberger to O(1/(log n)^(w-2)). The coin problem in the model of AC^0 circuits was first studied by Shaltiel and Viola, and later by Aaronson who proved that a depth d size s Boolean circuit cannot solve the coin problem for b < O(1/(log s)^(d+2)). This work has two contributions: 1. We strengthen Steinberger's result and show that any Santha-Vazirani source with bias b < O(1/(log n)^(w-2)) fools length n, width w read once branching programs. In other words, the strong independence assumption in the coin problem is completely redundant in the model of read once branching programs, assuming the bias remains small. That is, the exact same result holds for a much more general class of sources. 2. We tighten Aaronson's result and show that a depth d, size s Boolean circuit cannot solve the coin problem for b < O(1/(log s)^(d-1)). Moreover, our proof technique is different and we believe that it is simpler and more natural.
AN ITERATIVE LEARNING CONTROL APPROACH TO IMPROVING FIDELITY IN INTERNET-DISTRIBUTED HARDWARE-INTHE-LOOP SIMULATION

One of the main challenges of co-simulating hardware-inthe-loop systems in real-time over the Internet is the fidelity of the simulation. The dynamics of the Internet may significantly distort the dynamics of the network-integrated system. This paper presents the development of an iterative learning control based approach to improve fidelity of such networked system integration. Towards this end, a new metric for characterizing fidelity is proposed first, which, unlike some existing metrics, does not require knowledge about the reference dynamics (i.e., dynamics that would be observed, if the system was physically connected). #ext, using this metric, the problem of improving fidelity is formulated as an iterative learning control problem. Finally, the proposed approach is illustrated on a purely simulation-based case study. The conclusion is that the proposed approach holds significant potential for achieving high fidelity levels.
Switching Characteristics of SiC-MOSFET and SBD Power Modules

Prototype SiC power modules are fabricated using our class 10 A, 1.2 kV SiC-MOSFETs and SiC-SBDs, and their switching characteristics are evaluated using a double pulse method. Switching waveforms show that both overshoot and tail current, which induce power losses, are suppressed markedly compared with conventional Si-IGBT modules with similar ratings. The total switching loss (MOSFET turn-ON loss, turn-OFF loss and SBD recovery loss) of SiC power modules is measured to be about 30% of that of Si-IGBT modules under the generally-used switching condition (di/dt ~250A/μs). The three losses of SiC modules decrease monotonically with a decrease in gate resistance, namely switching speed. The result shows the potential of unipolar device SiC power modules.
Interstitial cells of Cajal in health and disease. Part I: Normal ICC structure and function with associated motility disorders

Ramon y Cajal (1852–1934) is considered to be one of the founders of the field of neuroscience. In 1911, he described interstitial neurons in the gut, noting that they were primitive accessory components that perhaps modify smooth muscle contraction, themselves subject to regulation from principle neurons. The accuracy of his description of their appearance and activities has led to these cells now being called the interstitial cells of Cajal (ICC). Thuneberg and Faussone‐Pellegrini were instrumental in bringing these cells to the attention of gastroenterologists and pathologists in the early 1980s. Subsequently, the development of antibodies to c‐kit has allowed routine identification of the ICC in pathology specimens. c‐Kit is a transmembrane protein kinase which has as ligand stem cell factor and is involved in cell development in a variety of cell lineages. In the gut musculature, ICC and mast cells are the only cells that have prominent c‐kit expression. The ICC are now known to play an important role in gut motility and absent or disordered ICC networks have been identified in a variety of motility disorders.
Managing Key Business-to-Business Relationships

Key account management (KAM) is a rapidly growing area of interest in business-to-business marketing. However, unnoticed by marketing, a quiet revolution has taken place in supply chain management (SCM), where the traditional emphasis on least-cost transactions has given way to a focus on long-term relationships with a few key suppliers. It is thus apparent that the two disciplines are converging. This article uses a cross-disciplinary approach to explore whether these developments from the field of SCM provide insights into key business-to-business relationships. A detailed case study of a long-term relationship between a business-to-business services provider and a key customer in the construction industry suggests there is a definable overlap. The supply chain model illuminates five important elements of KAM and offers a promising method for the evaluation of such relationships. As a result of the research, both supplier and customer companies implemented actions to improve and strengthen this important relationship.
Influence of primary prey on home-range size and habitat-use patterns of northern spotted owls (Strix occidentalis caurina)

433 Abstract: Correlations between the home-range size of northern spotted owls (Strix occidentalis caurina) and proportion of their range in old-growth forest have been reported, but there are few data on the relationship between their home-range size and prey. The primary prey of spotted owls are wood rats and northern flying squirrels (Glaucomys sabrinus). Wood rats are larger and heavier than flying squirrels, and their population densities tend to be much greater than those of flying squirrels. We present data indicating that the home ranges of spotted owls are smaller where their diet consists predominantly of wood rats than where it consists predominantly of flying squirrels, and the proportion of the diet consisting of wood rats and flying squirrels explained significant variation in home-range size. We also found a significant correlation between home-range size and abundance of wood rats. These data indicate that prey species are a better predictor of home-range size than the proportion of older forest within spotted owl home ranges in the Klamath Province of northwestern California and southwestern Oregon, an area that is predominantly late-successional forest. Differences in habitat use were also related to prey species. Where spotted owls foraged for wood rats, the results indicated a preference for habitat edges, but where they utilized flying squirrels no such patterns were apparent.
Are Features Equally Representative? A Feature-Centric Recommendation

Typically a user prefers an item (e.g., a movie) because she likes certain features of the item (e.g., director, genre, producer). This observation motivates us to consider a feature-centric recommendation approach to item recommendation: instead of directly predicting the rating on items, we predict the rating on the features of items, and use such ratings to derive the rating on an item. This approach offers several advantages over the traditional item-centric approach: it incorporates more information about why a user chooses an item, it generalizes better due to the denser feature rating data, it explains the prediction of item ratings through the predicted feature ratings. Another contribution is turning a principled item-centric solution into a feature-centric solution, instead of inventing a new algorithm that is feature-centric. This approach maximally leverages previous research. We demonstrate this approach by turning the traditional item-centric latent factor model into a feature-centric solution and demonstrate its superiority over item-centric approaches.
Decision-making about children’s mental health care: ethical challenges

Children and young people are usually referred to specialist child and adolescent mental health services (CAMHS) by adults because of concerns raised by other adults. Most CAMHS consider them from a developmental perspective and as individuals in the context of their families and other relationships/systems. In this article I discuss ethical and legal challenges posed by making decisions with and about children and young people within CAMHS, with particular reference to duty of care; the rights of minors’ and parents’; capacity and consent; and disagreement between decision-makers. It is important to involve children and young people in decision-making, and I suggest ways of acheiving this.
Damage to the skin by repetitive washing

Damage to the skin following the repeated use of 2 different wash solutions was investigated. Stratum corneum capacitative resistance, stratum corneum lipids, transepidermal water loss, skin surface pH, laser Doppler flow and skin reddening were determined. All skin function parameters already showed a marked change after a single wash (e.g., the median of TEWL values increased by more than 0.5 g/m2 h). Repetitive washing for 1 week led to a further deterioration of TEWL and corneometry values (e.g., TEWL increased for about 2.9 g/m2 h after repetitive washing with sodium lauryl sulfate). The rate of skin function regeneration after repetitive washing was unaltered compared to regeneration after a single wash. The surfactants used showed quantitatively differing effects on corneometry, TEWL and laser Doppler flow (e.g., after repetitive washing with Geli‐derm, the median of TEWL values increased only up to 1.55 g/m2 h). However, damage arising from repetitive washing could not be completely prevented by the selection of a mild surfactant. Skin function regeneration showed no difference with the 2 surfactants used.
Class-I human leukocyte alleles in leprosy patients from Southern Brazil.

INTRODUCTION The present study was designed to investigate a possible role of HLA (histocompatibility leucocyte antigen) class-I alleles (HLA-A, -B, and -C) in leprosy patients from Southern Brazil. METHODS Two hundred and twenty-five patients with leprosy and 450 individuals for the control group were involved in this research. HLA genotyping was performed through PCR-SSO protocols (One Lambda, USA); the frequency of these alleles was calculated in each group by direct counting, and the frequencies were then compared. RESULTS There was an association between HLA-A*11 (6.9% vs 4.1%, p=0.0345, OR=1.72, 95% CI=1.05-2.81), HLA-B*38 (2.7% vs. 1.1%, p=0.0402, OR=2.44, 95% CI=1.05-5.69), HLA-C*12 (9.4% vs. 5.4%, p=0.01, OR=1.82, 95% CI=1.17-2.82), and HLA-C*16 (3.1% vs. 6.5%, p=0.0124, OR=0.47, 95% CI=0.26-0.85) and leprosy per se. In addition, HLA-B*35, HLA-C*04, and HLA-C*07 frequencies were different between lepromatous (LL) and tuberculoid (TT) patients. However, after adjusting for the number of alleles compared, Pc values became nonsignificant. CONCLUSIONS Although our results do not support the previous findings that HLA class-I alleles play a role in leprosy pathogenesis, we suggest new studies because of the importance of the association between the HLA and KIR in the innate immune response to leprosy.
Identification of image fragments for file carving

Recovering images intact is an important process in digital forensics, as they may represent primary evidences in crime cases such as child pornography. Due to file syetems' fragmentation mechanisms, images may be split into several fragments on a physical storage. As such, recovering images fragments and reconstructing the original images embody challenges for file carving tools particularly when the filesystem metadata are not available. In this paper, we propose a method for image fragment identification using a machine learning approach. Our method exploits features in unknown images fragments, and applies various machine learning algorithms to reconstruct the original images by identifying to which particular image a fragment belongs. We provide the details of our methods as well as a validation of its effectiveness.
Using AR to support cross-organisational collaboration in dynamic tasks

This paper presents a study where Augmented Reality (AR) technology has been used as a tool for supporting collaboration between the rescue services, the police and military personnel in a crisis management scenario. There are few studies on how AR systems should be designed to improve cooperation between actors from different organizations while at the same time support individual needs. In the present study an AR system was utilized for supporting joint planning tasks by providing organisation-specific views of a shared working. The study involved a simulated emergency event conducted in close to real settings with representatives from the organisations for which the system is developed. As a baseline, a series of trials without the AR system was carried out. Results show that the users were positive towards the AR system, and would like to use it in real work. They also experience some performance benefits of using the AR system compared to their traditional tools. Finally, the problem of designing for collaborative work as well as the benefits of using an iterative design processes is discussed.
Chlamydia trachomatis genital infection in apparently healthy adult population of Tamil Nadu, India: a population-based study

Since the epidemiology of Chlamydia trachomatis infection in apparently healthy population has not been studied in India, a population-based study was conducted in the state of Tamil Nadu, India in order to analyse the prevalence of genital chlamydial infections in the community and to implement control programmes. A representative sample was taken from three randomly selected districts by using the 'probability proportional to size' cluster survey method. Households were the basic units of clusters. Adults aged 15-45 years, pre-identified from the selected households were enrolled during the medical camps conducted for a major study on community prevalence of sexually transmitted diseases in Tamil Nadu. Blood and urine samples collected from the study subjects were tested by enzyme-linked immunosorbent assay (ELISA) for anti-chlamydial IgM antibodies and by the commercial Amplicor polymerase chain reaction (PCR) test for chlamydial DNA. The prevalence of anti-C. trachomatis antibodies determined by IgM-ELISA was 2.4% (95% CI 1.6%-3.2%). The prevalence of genital chlamydial infection determined by PCR was 1.1% (95% CI 0.5%-1.7%). Majority of the detected infections (68.8%) were asymptomatic. This is the first Indian report on the prevalence of genital chlamydial infections in the general population. It is concluded that this study provides evidence for a substantial burden of approximately 10 million asymptomatic genital chlamydial infection cases in the sexually active age groups in the general population of India.
Enhancing intensity and refractive index sensing capability with infrared plasmonic perfect absorbers.

An infrared refractive index sensor based on plasmonic perfect absorbers for glucose concentration sensing is experimentally demonstrated. Utilizing substantial absorption contrast between a perfect absorber (∼98% at normal incidence) and a non-perfect absorber upon the refractive index change, a maximum value of figure of merit (FOM*) about 55 and a bulk wavelength sensitivity about 590 nm/RIU are achieved. The demonstrated sensing platform provides great potential in improving the performance of plasmonic refractive index sensors and developing future surface enhanced infrared spectroscopy.
Bioerodible calcium sulfate bone grafting substitutes with tailored drug delivery capabilities

OF DISSERTATION BIOERODIBLE CALCIUM SULFATE BONE GRAFTING SUBSTITUTES WITH TAILORED DRUG DELIVERY CAPABILITIES Bone regeneration or augmentation is often required prior to or concomitant with implant placement. With the limitations of many existing technologies, a biologically compatible synthetic bone grafting substitute that is osteogenic, bioerodible, and provides spacing-making functionality while acting as a drug delivery vehicle for bioactive molecules could provide an alternative to ‘gold standard’ techniques. In the first part of this work, calcium sulfate (CS) space-making synthetic bone grafts with uniformly embedded poly(β-amino ester) (PBAE) biodegradable hydrogel particles was developed to allow controlled release of bioactive agents. The embedded gel particles’ influence on the physical and chemical characteristics of CS was tested. Namely, the compressive strength and modulus, dissolution, and morphology, were studied. All CS samples dissolved via zero-order surface erosion consistent to one another. Compression testing concluded that the amount, but not size, of embedded gel particles significantly decreased (up to 75%) the overall mechanical strength of the composite. Release studies were conducted to explore this system’s ability to deliver a broad range of drug types and sizes. Lysozyme (model protein for larger growth factors like bone morphogenic protein [BMP]) was loaded into PBAE particles embedded in CS matrix. The release of simvastatin, a small molecule drug capable of up regulating BMP production, was also examined. The release of both lysozyme and simvastatin was governed by dissolution of CS. The second part of this work proposed a bilayered CS implant. The physical and chemical properties were characterized similarly to the CS composites above. Release kinetics of directly loaded simvastatin in the shell, core, or both layers was investigated. A sequential release of simvastatin was witnessed giving foresight of the composite’s tunability. The sequential release of an antibacterial, metronidazole, loaded into poly(lactic-co-glycolic acid) (PLGA) particles embedded into the shell along with directly loaded simvastatin either in the shell, core, or both layers was also observed. Through controlled release of bioactive agents, as well as a tunable layered geometry, CS-based implants have the potential to be optimized in order to help streamline the steps required for the healing and regeneration of compromised bone tissue.
Toward psycho-robots

We try to perform geometrization of psychology by representing mental states, “ideas,” by points of a metric space-mental space. Evolution of ideas is described by dynamical systems in metric mental space. We apply the mental space approach for modeling of flows of unconscious and conscious information in the human brain. In a series of models, Models 1–4, we consider cognitive systems with increasing complexity of psychological behavior determined by the structure of flows of ideas. Since our models are in fact models of the AI-type, one immediately recognizes that they can be used for creation of AI-systems, which we call psycho-robots, exhibiting important elements of the human psyche. Creation of such psycho-robots may be useful in the improvement of domestic robots. At the moment domestic robots are merely simple working devices (e.g. vacuum cleaners or lawn mowers). However, in future one can expect demand for systems which can not only perform simple work tasks, but also have elements of human self-developing psyche. Such AI-psyche could play an important role both in relations between psycho-robots and their owners as well as between psycho-robots. Since the presence of a huge numbers of psycho-complexes is an essential characteristic of human psychology, it would be interesting to model them in the AI-framework.
Androgen Receptor Promotes the Oncogenic Function of Overexpressed Jagged1 in Prostate Cancer by Enhancing Cyclin B1 Expression via Akt Phosphorylation

The Jagged1, a Notch signaling pathway ligand, had been shown to have a positive correlation with prostate cancer development. Our study for Jagged1 expression in 218 prostate cancer tissue samples also supports this conclusion. However, the detailed molecular mechanism of Jagged1 in promoting the progression of prostate cancer is still unclear. Through cell proliferation examination, androgen receptor (AR) was found to promote the oncogenic function of Jagged1 to enhance the cell proliferation rate by comparing four prostate cancer cell lines, LNCaP, LAPC4, DU145, and PC3, which was further validated through analyzing the survival of 118 patients treated with androgen-deprivation therapy (ADT) with different expression levels of Jagged1 and AR. More importantly, our data showed that Jagged1 combined with AR could increase the phosphorylation level of Akt and, in turn, phosphorylated Akt plays an important role in regulating the expression level of cyclin B1 by interacting with AR and increasing the transcriptional activity of AR. These data indicate that prostate cancer progression regulated by Jagged1 can be dramatically enhanced by combining with AR through promoting Akt activity. Implications: This study could benefit our clinical treatments for patients with prostate cancer with overexpressed Jagged1 by targeting AR and Akt. Mol Cancer Res; 12(6); 830–42. ©2014 AACR.