Miracle-dz/UniFAR-FTUs huggingface dataset:
The Borderline Patient in Individual and Group Psychotherapy

THE borderline patient has a unique ego functions profile in that it is constant across situations and internal levels of organization. In our studies three ego functions rated significantly higher on disturbance: reality testing, object relations and defensive functions. The disturbance of these ego functions is characterized by a significant and pronounced difference between emotional and cognitive factors, the emotional factors being by far the more disturbed. Within this general descriptive frame individual differences are pronounced. Moreover, there are meaningful variations over time for each patient. An attempt to increase the effectiveness of psychotherapy for borderline patient necessitates on the one hand understanding the nature of the disturbance involved and on the other hand an evaluation of the specific emotional state of the individual.
TinyBox: Social, local, mobile content sharing

TinyBox is a mobile application for sharing contents within local social groups. TinyBox makes use of opportunistic communications, being able to exploit various connectivity options and to work in the absence of Internet connection. TinyBox allows users to easily create and manage shared repositories for multimedia contents, making use a rule engine for defining sharing attributes and rights. It features a peer-to-peer synchronization manager for ensuring up-todate contents are available to all participants in the group. TinyBox has been developed for both Android (smartphone version) and Mac OS 10.8 (laptop version). In the demo we will show live the functionality of the application, including its ability to work in the absence of Internet connectivity and to effectively exploit opportunistic communications, in particular when synchronizing multimedia files.
Accurate geolocation using network coordinates

Geolocation is an important factor in everyday life and used in location-based services, such as weather alerts and navigation. The most straightforward method is for the user to report its own location. However, this is not always possible. Attempts to geolocate users based on IP addresses and network measurements have resulted in fairly accurate geolocation, with low error. We show that newer network coordinate systems can provide even better accuracy in geolocating users. Compared to ping or older network coordinate systems, these new systems produce a much lower error in estimating the actual physical distance between a pair of IP addresses. The median error for direct network measurement is 4.2%, while the median error for Treeple is 1.0%. Our results for Treeple show a median localisation accuracy of 12.40 miles, more accurate compared to leading geolocation methods such as Octant.
Ligand-Dependent TrkA Activity in Brain Differentially Affects Spatial Learning and Long-Term Memory

In the central nervous system, the nerve growth factor (NGF) receptor TrkA is expressed primarily in cholinergic neurons that are implicated in spatial learning and memory, whereas the NGF receptor p75NTR is expressed in many neuronal populations and glia. We asked whether selective TrkA activation may have a different impact on learning, short-term memory, and long-term memory. We also asked whether TrkA activation might affect cognition differently in wild-type mice versus mice with cognitive deficits due to transgenic overexpression of mutant amyloid-precursor protein (APP mice). Mice were treated with wild-type NGF (a ligand of TrkA and p75NTR) or with selective pharmacological agonists of TrkA that do not bind to p75NTR. In APP mice, the selective TrkA agonists significantly improved learning and short-term memory. These improvements are associated with a reduction of soluble Aβ levels in the cortex and AKT activation in the cortex and hippocampus. However, this improved phenotype did not translate into improved long-term memory. In normal wild-type mice, none of the treatments affected learning or short-term memory, but a TrkA-selective agonist caused persistent deficits in long-term memory. The deficit in wild-type mice was associated temporally, in the hippocampus, with increased AKT activity, increased brain-derived neurotrophic factor precursor, increased neurotrophin receptor homolog-2 (p75-related protein), and long-term depression. Together, these data indicate that selective TrkA activation affects cognition but does so differently in impaired APP mice versus normal wild-type mice. Understanding mechanisms that govern learning and memory is important for better treatment of cognitive disorders.
Potential Deleterious Effects of Vasopressin in Chronic Kidney Disease and Particularly Autosomal Dominant Polycystic Kidney Disease

The antidiuretic hormone vasopressin is crucial for regulating free water clearance in normal physiology. However, it has also been hypothesized that vasopressin has deleterious effects on the kidney. Vasopressin is elevated in animals and patients with chronic kidney disease. Suppression of vasopressin activity reduces proteinuria, renal hypertrophy, glomerulosclerosis and tubulointerstitial fibrosis in animal models. The potential detrimental influence of vasopressin is probably mediated by its effects on mesangial cell proliferation, renin secretion, renal hemodynamics, and blood pressure. In this review, we discuss the increasing body of evidence pointing towards the contribution of vasopressin to chronic kidney disease progression in general and to autosomal dominant polycystic kidney disease in particular. These data allude to the possibility that interventions directed at lowering vasopressin activity, for example by the administration of vasopressin receptor antagonists or by drinking more water, may be beneficial in chronic kidney disease.
Examining Lower Extremity Motor Activity Using Magnetoencephalography

EXAMINING LOWER EXTREMITY MOTOR ACTIVITY USING MAGNETOENCEPHALOGRAPHY Ruth M. Swedler, B.S. Marquette University, 2012 The role of the cortex during locomotion remains unclear, but recent advances in neural imaging technologies have aided in developing ways to measure brain activity during motor tasks. One method is by measuring activations produced by neural oscillations which have been associated with a variety of human behaviors, from sleep and rest to cognitive actions and movement. The physiological and functional methods in which oscillations contribute to cortical control are still largely unknown. In this study, we aim to expand that knowledge by examining human cortical activity in the sensory and motor cortices during pedaling using magnetoencephalography (MEG). We hypothesized that, if the sensory and motor cortices are important for controlling locomotion, then the MEG signal would differ during pedaling as compared to rest and would be modulated with the phase of the pedaling cycle. Moreover, if locomotorrelated brain activity is solely caused by sensory feedback, then the MEG signal would be the same during active and passive pedaling. We scanned eight healthy subjects using MEG while they pedaled a custom-made pedaling device. The subjects’ magnetocortical activity was measured in two minute recordings during rest, continuous, self-paced active pedaling, and passive pedaling. The passive condition consisted of the subject relaxing their leg muscles while the experimenter pedaled the device for them at a velocity matching that subject’s active pedaling bout. Task-dependent magnetocortical activity was examined in the primary sensorimotor cortex (M1 and S1), supplemental motor area (SMA), and premotor area (PMA). The power spectrum of the MEG signal during the different tasks was extracted using a Welch periodogram to examine the frequency content throughout each task. The power in the alpha and beta bands of all regions of interest decreased significantly during active and passive pedaling as compared to rest. No significant difference was found between any of the tasks in the gamma band. The temporal pattern of the beta frequency band was also examined across the pedaling cycle by performing a time-frequency decomposition using a Morlet wavelet. Both pedaling conditions demonstrated modulation of the beta band at twice the pedaling frequency. These fluctuations were not found in the rest condition. Our results showed that the brain becomes engaged during pedaling as compared to rest. The magnetocortical activity is different across the movement cycle, suggesting that the brain has input into the regulation of locomotor-like movement. There is also a strong sensory component during movement since the active and passive pedaling conditions are similar.
Penetration of topical, oral, and combined administered ofloxacin into the subretinal fluid

AIMS To assess the subretinal fluid (SRF) levels of ofloxacin following topical, oral or combined administration. METHODS 31 patients undergoing conventional retinal reattachment surgery were randomly assigned to three groups. Nine patients received topical ofloxacin, 11 patients received oral ofloxacin, and the other 11 patients received combined administration. Collected SRF samples were analysed for drug level by using high performance liquid chromatography. RESULTS SRF drug levels after oral and combined administration were significantly higher than that after topical administration (p=0.0002 and p=0.0002, respectively) while there was no significant difference between oral and combined administration (p=0.0844). CONCLUSIONS Ocular bioavailability of ofloxacin in SRF after oral and combined administration is equivalent. The addition of oral ofloxacin to topical therapy increased drug SRF penetration sixfold.
Energy-aware data diffusion protocol with reduced source-to-sink delay for wireless sensor network

Wireless sensor network (WSN) is made up of large numbers of sensor nodes. Each sensor node possesses the ability to monitor some aspect of its environment. Since data diffusion is vital in WSN, optimized protocols need to be used to guarantee an energy efficient operation of the network by extending the lifetime of individual sensors. To achieve this goal, the transmission range of sensors is first decomposes into certain ranges based on a minimal distance between consecutive forwarding sensors and then classifies these ranges due to Degree of Interest. The work also focuses on the selection of sensors as forwarders which lie on or closely to the shortest path between a source sensor and the sink to yield minimum energy consumption and delay. The energy-aware challenge is presented through the computation of lower and upper bounds on energy consumption and source-to-sink delay.
From X to Pi; Representing the Classical Sequent Calculus in the Pi-calculus

We study the Pi-calculus, enriched with pairing and non-blocking input, and define a notion of type assignment that uses the type constructor "arrow". We encode the circuits of the calculus X into this variant of Pi, and show that all reduction (cut-elimination) and assignable types are preserved. Since X enjoys the Curry-Howard isomorphism for Gentzen's calculus LK, this implies that all proofs in LK have a representation in Pi.
Evaluating FrameNet-style semantic parsing: the role of coverage gaps in FrameNet

Supervised semantic role labeling (SRL) systems are generally claimed to have accuracies in the range of 80% and higher (Erk and Pado, 2006). These numbers, though, are the result of highly-restricted evaluations, i.e., typically evaluating on hand-picked lemmas for which training data is available. In this paper we consider performance of such systems when we evaluate at the document level rather than on the lemma level. While it is well-known that coverage gaps exist in the resources available for training supervised SRL systems, what we have been lacking until now is an understanding of the precise nature of this coverage problem and its impact on the performance of SRL systems. We present a typology of five different types of coverage gaps in FrameNet. We then analyze the impact of the coverage gaps on performance of a supervised semantic role labeling system on full texts, showing an average oracle upper bound of 46.8%.
A Classical Analog to Entanglement Reversibility

In this Letter we study the problem of secrecy reversibility. This asks when two honest parties can distill secret bits from some tripartite distribution p(XYZ) and transform secret bits back into p(XYZ) at equal rates using local operation and public communication. This is the classical analog to the well-studied problem of reversibly concentrating and diluting entanglement in a quantum state. We identify the structure of distributions possessing reversible secrecy when one of the honest parties holds a binary distribution, and it is possible that all reversible distributions have this form. These distributions are more general than what is obtained by simply constructing a classical analog to the family of quantum states known to have reversible entanglement. An indispensable tool used in our analysis is a conditional form of the Gács-Körner common information.
Is autostereoscopy useful for handheld AR?

Some recent mobile devices have autostereoscopic displays that enable users to perceive stereoscopic 3D without lenses or filters. This might be used to improve depth discrimination of objects overlaid to a camera viewfinder in augmented reality (AR). However, it is not known if autostereoscopy is useful in the viewing conditions typical to mobile AR. This paper investigates the use of autostereoscopic displays in an psychophysical experiment with twelve participants using a state-of-the-art commercial device. The main finding is that stereoscopy has a negligible if any effect on a small screen, even in favorable viewing conditions. Instead, the traditional depth cues, in particular object size, drive depth discrimination.
Silk Fibroin Based Porous Materials

Silk from the Bombyx mori silkworm is a protein-based fiber. Bombyx mori silk fibroin (SF) is one of the most important candidates for biomedical porous material based on its superior machinability, biocompatibility, biodegradation, bioresorbability, and so on. In this paper, we have reviewed the key features of SF. Moreover we have focused on the morphous, technical processing, and biocompatibility of SF porous materials, followed by the application research. Finally, we provide a perspective the potential and problems of SF porous materials.
Papillary neoplasia of the breast: immunohistochemically defined myoepithelial cells in the diagnosis of benign and malignant papillary breast neoplasms.

The presence or absence of myoepithelial cells (ME) has been considered as an important feature in the differential diagnosis of benign and malignant papillary lesions of the breast. We evaluated the distribution of myoepithelial cells in formalin-fixed paraffin-embedded tissue sections of 25 papillomas and 18 papillary carcinomas by ABC immunoperoxidase technique with antibodies to muscle actin (HHF-35) and high molecular weight (HMW) keratin (clone 34BE12, cytokeratins 1, 5, 10, and 14; reacting preferentially with ME cells) and an antiserum to S-100 protein. Also included in the study were eight cases of micropapillary ductal carcinoma in situ (DCIS) having a few fibrovascular cores and five peripheral papillomas with accompanying ductal carcinoma in situ or atypical hyperplasia. The antibodies to muscle actin were sensitive and relatively specific for ME cells of the breast and uniformly labeled ME cells in all 25 papillomas. ME cells were absent or extremely sparse in papillary carcinomas. They were present focally in some of the fibrovascular cores of the micropapillary DCIS, and a mixed pattern was observed in peripheral papillomas with areas of carcinoma. HMW keratin was variably expressed in ME cells in most cases with positive internal controls and was present in several normal ductal and papilloma epithelial cells but not in epithelial cells of papillary carcinomas. HMW keratin, although less specific for ME cells, was a useful adjunct because of its reactivity with ME cells as well as hyperplastic epithelial cells in papillomas, which resulted in a combined positive reaction. (ABSTRACT TRUNCATED AT 250 WORDS)
The Glycosyltransferase Gene Encoding the Enzyme Catalyzing the First Step of Mycothiol Biosynthesis (mshA)

ABSTRACT Mycothiol is the major thiol present in most actinomycetes and is produced from the pseudodisaccharide 1d-myo-inosityl 2-acetamido-2-deoxy-α-d-glucopyranoside (GlcNAc-Ins). A transposon mutant of Mycobacterium smegmatis shown to be GlcNAc-Ins and mycothiol deficient was sequenced to identify a putative glycosyltransferase gene designated mshA. The ortholog in Mycobacterium tuberculosis, Rv0486, was used to complement the mutant phenotype.
Accelerating RTL Fault Simulation through RTL-to-TLM Abstraction

Different fault injection techniques based on simulation have been proposed in the past for functional verification of register transfer level (RTL) IP models. They allow designers to model any type of fault and provide the quality of test patterns through the fault coverage estimation. Nevertheless, the low speed of such a cycle-accurate RTL simulation involves a trade-off between the simulation time and the achieved fault coverage. On the other hand, Transaction-level modeling (TLM) allows a simulation speed-up up to 1000x with respect to RTL. This paper presents a methodology to accelerate RTL fault simulation through automatic RTL-to-TLM abstraction. The methodology abstracts injected RTL models into equivalent injected TLM models thus allowing a very fast automatic test pattern generation at TLM level. The paper shows how the generated TLM test patterns can be automatically synthesized into RTL test patterns by exploiting the structural information of the RTL model extracted during the abstraction process. Experimental results have been applied to several designs of different size and complexity to show the methodology effectiveness.
KISS: Knowing Camera Prototype System for Recognizing and Annotating Places-of-Interest

This paper presents a project called KnowIng camera prototype SyStem (KISS) for real-time places-of-interest (POI) recognition and annotation for smartphone photos, with the availability of online geotagged images for POIs as our knowledge base. We propose a “Spatial+Visual” (S+V) framework which consists of a probabilistic field-of-view (pFOV) model in the spatial phase and sparse coding similarity metric in the visual phase to recognize phone-captured POIs. Moreover, we put forward an offline Collaborative Salient Area (COSTAR) mining algorithm to detect common visual features (called Costars) among the noisy photos geotagged on each POI, thus to clean the geotagged image database. The mining result can be utilized to annotate the region-of-interest on the query image during the online query processing. Besides, this mining procedure also improves the efficiency and accuracy of the S+V framework. Furthermore, we extend the pFOV model into a Bayesian FOV(<inline-formula><tex-math notation="LaTeX"> $\beta$</tex-math><alternatives><inline-graphic xlink:type="simple" xlink:href="peng-ieq1-2489647.gif"/></alternatives></inline-formula> FOV) model which improves the spatial recognition accuracy by more than 30 percent and also further alleviates visual computation. From a bayesian point of view, the likelihood of a certain POI being captured by phones is a prior probability in pFOV model which is represented as a posterior probability in <inline-formula> <tex-math notation="LaTeX">$\beta$</tex-math><alternatives><inline-graphic xlink:type="simple" xlink:href="peng-ieq2-2489647.gif"/> </alternatives></inline-formula>FOV model.Our experiments in the real-world and Oxford 5K datasets show promising recognition results. In order to provide a fine-grained annotation ground truth, we labeled a new dataset based on Oxford 5K and make it public available on the web. Our COSTAR mining techniqueoutperforms state-of-the-art approach on both dataset.
3-D System Integration of Processor and Multi-Stacked SRAMs Using Inductive-Coupling Link

This paper describes a three-dimensional (3-D) system integration of a full-fledged processor chip and two memory chips using inductive coupling. To attain a 3-D communication link with a smaller area and lower power-consumption, shortening the link distance and preventing signal degradation due to unused inductors are important challenges. Therefore, we developed a new 3D-integrated wire-penetrated multi-layer structure for a shorter link distance and an open-skipped-inductor scheme for suppressing signal degradation. In addition, to avoid undefined-value propagation in stacking multi-memories using an inductive-coupling link, we proposed a memory-access-control scheme with a pinpoint-data-capture scheme. We demonstrate that three fabricated chips can be successfully AC-coupled using inductive coupling. The power and area efficiency of the link are 1 pj/b and 0.15 mm2 /Gbps, respectively, which are the same as those of two-chip integration.
Prevalence of Multiple Drug Resistant Pathogenic Bacteria in Cultured Black Tiger Shrimp (Penaeus monodon Fabricius)

The shrimp sector is the second largest export earner for Bangladesh, which is a major contributor in the national economy of Bangladesh. It also provides millions of employment. Every year a huge amount of shrimps are rejected to export due to its pathogenic bacterial contamination. A comparative study regarding prevalence and antimicrobial susceptibility of pathogenic bacteria in the black tiger shrimp (Penaeus monodon Fabricius) were analyzed in terms of coliform, fecal coliform, Salmonella-Shigella and Vibrio spp. Total coliform, total faecal coliform, total Salmonella-Shigella and total vibrio counts were ranged from 6×10 to 8.6×10 cfu/gm, 25 0.0 to 3.8×10 cfu/gm, 0.0 to 3.7×10 cfu/gm and 0.0 to 2.5×10 cfu/gm, respectively. Among 11 tested isolates 55 3 selected from shrimp, 7 isolates displayed multidrug resistance to more than three antibiotics. Inadequate fish storage facilities, limited use of ice to preserve the shrimp, improper and unhygienic handling of shrimp could be considered as some of the factors contributing to the occurrence of these pathogens. The main reason of antibiotic resistance could be the contamination of shrimps with the antibiotic resistant bacteria through the environment and human handling.
Enhanced lytic activity of cytokine-induced killer cells against multiple myeloma cells after co-culture with idiotype-pulsed dendritic cells.

BACKGROUND AND OBJECTIVES There are numerous reports of in vitro and in vivo usage of dendritic cells (DC) pulsed with idiotype, the tumor-specific antigen of multiple myeloma (MM), for immunotherapy of MM. Data suggest that not only T-cells, but also the innate immune system reacts against MM. Here, we examined the cytotoxic activity of cytokine-induced killer (CIK) cells against myeloma cells. This heterogeneous effector population consists of T-, NK- and NKT-cells. DESIGN AND METHODS CIK cells generated from buffy coats or blood from patients with MM were co-cultured with autologous idiotype-pulsed DC. The cytotoxic activity was investigated in lactate dehydrogenase release assays against cell lines or autologous CD138 positive cells from bone marrow. RESULTS CIK cells were able to lyse MM cells at low effector to target ratios. This effect was significantly enhanced by co-culturing with specifically pulsed DC (83.8% lysis at an effector to target ratio of 16:1). Using an interferon-g secreting MACS separation assay, the cytotoxic activity of CIK cells was enhanced to maximal lysis at the lower effector to target ratio of 5:1. High cytotoxic activity was also shown in a completely autologous setting against enriched CD138+ cells from a patient with MM (54.4% lysis at an effector to target ratio of 6:1). Interestingly, there was no cytotoxic activity against the CD138- fraction of the bone-marrow. INTERPRETATION AND CONCLUSIONS Using a heterogeneous population of effector cells, we were able to activate the innate and the adoptive immune-system against myeloma cells. CIK cells showed high lytic activity against MM cells, which could be enhanced by co-culturing with antigen-specific pulsed DC.