Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of (99m)Tc-ciprofloxacin scintigraphy in a rabbit model of Staphylococcus aureus prosthetic joint infection.

UNLABELLED Ciprofloxacin, a quinolone antibiotic drug, binds to DNA topoisomerase IV and DNA gyrase of various bacteria. Thus ciprofloxacin labeled with (99m)Tc could potentially act as a specific marker allowing discrimination between infection and sterile inflammation. We evaluated these properties on a rabbit model of prosthetic joint infection previously validated. We compared the images obtained in 2 groups of animals: rabbits with infected (G1; n = 6) and uninfected (G2; n = 7) prosthesis. METHODS Partial right-knee arthroplasty was performed on 13 New Zealand White female rabbits, with a tibial silicone-elastomer implant fitting into the intramedullary canal of the tibia. After the surgical wound was closed, 10(7) cfu of a clinical strain of methicillin-susceptible Staphylococcus aureus were injected into the joint in G1 rabbits. G2 rabbits were injected with sterile saline. No antibiotic therapy was given to the animals. (99m)Tc-ciprofloxacin planar imaging was performed on days 5, 12, and 19 after surgery, and after 3 mo in 1 uninfected rabbit. Images were obtained 1, 4, and 24 h after injection (147 +/- 13 MBq). RESULTS In G1, increased right knee (99m)Tc-ciprofloxacin uptake was observed in 3 of 5 rabbits on day 5, and in all cases on days 12 and 19. Killing of the animals revealed purulent arthritis, osteitis, and tibial myelitis. In G2, significant right-knee uptake was found on days 12 and 19 in 5 of 6 rabbits, and after 3 mo in 1; all sets of images were negative in 1 animal. Bacteriologic studies after the animals were killed were negative in G2. Mean right/left knee uptake ratios on day 19 (4-h images) were 1.8 +/- 0.4 in G1 versus 1.4 +/- 0.3 in G2 (not significant). Late images did not discriminate between infected and uninfected arthroplasty. CONCLUSION Results of (99m)Tc-ciprofloxacin imaging in rabbits with infected/uninfected knee prosthesis suggest good sensitivity but lack of specificity for the detection of S. aureus infection.
Accounting Information Systems and System of Systems: Assessing Security with Attack Surface Methodology

Accounting Information Systems are playing the protagonist role in enterprise. This is because they provide the necessary financial information required by law. At the same time there is an increasingly cyber security risk for AIS, which can be considered part of critical infrastructure, in that sense assessing cybersecurity risks is essential. The contribution of the paper is twofold. Firstly, in this paper the authors apply the attack surface methodology and further develop it to assess such risks. Secondly, the attack surface methodology has been expanded to include related systems to AIS.
A SURVEY ON RELATIONSHIP BETWEEN JOB STRESS AND THREE DIMENSIONS OF ORGANIZATION COMMITMENT AMONG NURSING MANAGERS IN EDUCATIONAL HOSPITALS OF ISFAHAN UNIVERSITY OF MEDICAL SCIENCES

Background : One of the effective factors in human resources in hospitals is organization commitment. The most common definition for organization commitment is considering it as "a kind of emotional dependence in organization" or "a kind of loyalty feeling to organization". Methods: This was a descriptive analytic survey. The population of study was all 110 nursing managers of 9 educational hospitals. Data gathering was done via Job Stress questionnaire and organization commitment questionnaire. Data analysis was done in SPSS software. Results: The mean score of organization commitment was 65.6 (12.1) among nursing mangers. There was a significant relationship between organization commitment and age and also job experience based on ANOVA test. There was not any relationship between job stress and job experience. Generally there was a relationship between job stress and organizational commitment. Conclusion: Study results showed that organization commitment is in a good level among nursing mangers of educational hospitals of Isfahan University of Medical Sciences. The study also revealed that there was a significant correlation between job stress and organization commitment. An organization cannot be successful without managers' commitment, so the organizations especially hospitals should plan for more commitments. On the other hand a stressful work environment can influence on mangers' organization commitment and if the stress in work decreases, the positive effects on organization commitment will happen. KEY WORDS: Organization commitment, job stress, nursing managers, educational hospitals
On the Feasibility of Wi-Fi Based Material Sensing

Wireless sensing has demonstrated the potential of using Wi-Fi signals to track people and objects, even behind walls.Yet, prior work in this space aims to merely detect the presence of objects around corners, rather than their type. In this paper, we explore the feasibility of the following re-search question: ? Can commodity Wi-Fi radios detect both the location and type of moving objects around them? ". We present IntuWition, a complementary sensing system that can sense the location and type of material of objects in the environment, including those out of line-of-sight. It achieves this by sensing wireless signals reflected off surrounding objects using commodity Wi-Fi radios, whose signals penetrate walls and occlusions. At the core of IntuWition is the idea that different materials reflect and scatter polarized waves in different ways. We build upon ideas from RADAR Polarimetry to detect the material of objects across spatial locations, despite mobility of the sensing device and the hardware non-idealities of commodity Wi-Fi radios. A detailed feasibility study reveals an average accuracy of 95% in line-of-sight and 92% in non-line-of-sight in classifying five types of materials:copper, aluminum, plywood, birch, and human. Finally, we present a proof-of-concept application of our system on an autonomous UAV that uses its onboard Wi-Fi radios to sense whether an occlusion is a person versus another UAV.
Being a Social Worker in Homes for the Aged

Abstract Various theoretical research studies, both academic and professional, have considered the important role social work plays in institutional settings. However, worldwide, very little empirical research has been conducted to examine how social work actually functions in homes for the aged. The study considered here helps to address this, by describing three key aspects of this issue: (1) the function social workers in homes for the aged in Israel actually fulfill (their “real” function); (2) the role that these social workers think that they should be fulfilling (their “ideal” function); and (3) the gap that separates “the real” (what social workers actually do) from “the ideal” (what social workers feel they should be doing). The study's research findings show not only that a gap exists, but also its essence. In the case of both the real roles social workers play in homes for the aged and what they perceive to be the ideal roles they should play, as well as in the case of the gap between the two, “paternalistic” activities were emphasized far more than “empowering” activities, which advocate or promote autonomy. The data obtained outlines possible future research directions, identified while attempting to understand the factors that contribute to the current reality of care in homes for the aged.
Correlation of Fine Needle Aspiration Cytology and Histopathology Diagnosis in the Evaluation of Breast Lumps

Background: A large number of patients have been suffer from breast cancer worldwide and this trend is increasing. It is difficult to determine whether a lump is benign or malignant from clinical assessment; thus, the need for micropic and tissue analysis arises. Methods: This comparative retrospective cross sectional study was conducted in the Department of Pathology, Rehman Medical Institute, Peshawar, Pakistan from January 2006 to March 2013, to determine the value of fine needle aspiration cytology (FNAC) in the diagnosis of breast lump and to compare the result of FNAC with histological diagnosis to assess its accuracy. Results: Seventy-four cases with breast lumps were presented for FNAC. Of these, 32.4% were reported as a C2 lesion, 4.1% were reported as benign with atypical cells (C3), 8.1% cases were suspicious for malignancy (C4), and 55.4% were positive for malignancy (C5). On histopathology examination, out of 24 cases which were reported as C2 lesions, 95.8% were benign and 4.1% turned out to be invasive ductal carcinoma. Of the cases that presented as C3 lesions, one was diagnosed as benign duct ectasia, one with ductal carcinoma in situ, and one with invasive ductal carcinoma on histopathological examination. The cases that were diagnosed as C4 lesions all turned out to be carcinoma on histopathology. In this study, FNAC and histopathology diagnoses were strongly correlated [r 0.92, p <0.001]. Conclusion: Diagnosis of breast lump based on FNAC should be practiced as there is high correlation with histopathological finding. FNAC should be used as a routine diagnostic procedure due to its cost effectiveness, thus maximizing the availability of effective health care to patients with breast lesions.
New opinion dynamics theory considering interpersonal relationship of both trust and distrust

New opinion dynamics theory is presented where both trust and distrust are included in interpersonal relationship. Using this theory, we do not obtain consensus building if half of the human relationship are distrust. We also try to measure opinion distribution to compare with obtained opinion distribution obtained by this theory using the data of comments to news program on YouTube
Temporal Prefetching Without the Off-Chip Metadata

Temporal prefetching offers great potential, but this potential is difficult to achieve because of the need to store large amounts of prefetcher metadata off chip. To reduce the latency and traffic of off-chip metadata accesses, recent advances in temporal prefetching have proposed increasingly complex mechanisms that cache and prefetch this off-chip metadata. This paper suggests a return to simplicity: We present a temporal prefetcher whose metadata resides entirely on chip. The key insights are (1) only a small portion of prefetcher metadata is important, and (2) for most workloads with irregular accesses, the benefits of an effective prefetcher outweigh the marginal benefits of a larger data cache. Thus, our solution, the Triage prefetcher, identifies important metadata and uses a portion of the LLC to store this metadata, and it dynamically partitions the LLC between data and metadata. Our empirical results show that when compared against spatial prefetchers that use only on-chip metadata, Triage performs well, achieving speedups on irregular subset of SPEC2006 of 23.5% compared to 5.8% for the previous state-of-the-art. When compared against state-of-the-art temporal prefetchers that use off-chip metadata, Triage sacrifices performance on single-core systems (23.5% speedup vs. 34.7% speedup), but its 62% lower traffic overhead translates to better performance in bandwidth-constrained 16-core systems (6.2% speedup vs. 4.3% speedup).
Source Compression with Bounded DNN Perception Loss for IoT Edge Computer Vision

IoT and deep learning based computer vision together create an immense market opportunity, but running deep neural networks (DNNs) on resource-constrained IoT devices remains challenging. Offloading DNN inference to an edge server is a promising solution, but limited wireless bandwidth bottlenecks its end-to-end performance and scalability. While IoT devices can adopt source compression to cope with the limited bandwidth, existing compression algorithms (or codecs) are not designed for DNN (but for human eyes), and thus, suffer from either low compression rates or high DNN inference errors. This paper presents GRACE, a DNN-aware compression algorithm that facilitates the edge inference by significantly saving the network bandwidth consumption without disturbing the inference performance. Given a target DNN, GRACE (i) analyzes DNN's perception model w.r. t both spatial frequencies and colors and (ii) generates an optimized compression strategy for the model -- one-time offline process. Next, GRACE deploys thus-generated compression strategy at IoT devices (or source) to perform online source compression within the existing codec framework, adding no extra overhead. We prototype GRACE on JPEG (the most popular image codec framework), and our evaluation results show that GRACE indeed achieves the superior compression performance over existing strategies for key DNN applications. For semantic segmentation tasks, GRACE reduces a source size by 23% compared to JPEG with similar interference accuracy (0.38% lower than GRACE). Further, GRACE even achieves 7.5% higher inference accuracy than JPEG with a commonly used quality level of 75 does. For classification tasks, GRACE reduces the bandwidth consumption by 90% over JPEG with the same inference accuracy.
Trace aware random testing for distributed systems

Distributed and concurrent applications often have subtle bugs that only get exposed under specific schedules. While these schedules may be found by systematic model checking techniques, in practice, model checkers do not scale to large systems. On the other hand, naive random exploration techniques often require a very large number of runs to find the specific interactions needed to expose a bug. In recent years, several random testing algorithms have been proposed that, on the one hand, exploit state-space reduction strategies from model checking and, on the other, provide guarantees on the probability of hitting bugs of certain kinds. These existing techniques exploit two orthogonal strategies to reduce the state space: partial-order reduction and bug depth. Testing algorithms based on partial order techniques, such as RAPOS or POS, ensure non-redundant exploration of independent interleavings among system events by imposing an equivalence relation on schedules and ideally exploring only one schedule from each equivalence class. Techniques based on bug depth, such as PCT, exploit the empirical observation that many bugs are exposed by the clever scheduling of a small number of key events. They bias the sample space of schedules to only cover all executions of small depth, rather than the much larger space of all schedules. At this point, there is no random testing algorithm that combines the power of both approaches. In this paper, we provide such an algorithm. Our algorithm, trace-aware PCT (taPCTCP), extends and unifies several different algorithms in the random testing literature. It samples the space of low-depth executions by constructing a schedule online, while taking dependencies among events into account. Moreover, the algorithm comes with a theoretical guarantee on the probability of sampling a trace of low depth---the probability grows exponentially with the depth but only polynomially with the number of racy events explored. We further show that the guarantee is optimal among a large class of techniques. We empirically compare our algorithm with several state-of-the-art random testing approaches for concurrent software on two large-scale distributed systems, Zookeeper and Cassandra, and show that our approach is effective in uncovering subtle bugs and usually outperforms related random testing algorithms.
Abstract T MP5: Factors Determining Consent in a Randomized Trial of Intra-Arterial Stem Cell Therapy for Sub-Acute Ischemic Stroke

Background: Obtaining consent from eligible patients in randomized stroke trials can be challenging. Stem cells are controversial in general and may add further hurdles to consent. We investigated the rate of patient and legally authorized representative (LAR) consent and factors determining consent in the first US intra-arterial autologous stem cell Phase 2 multicenter trial: RECOVER Stroke. Methods: In this trial, eligible patients were identified at one week from stroke onset. We performed a retrospective analysis of all eligible patients who were approached for consent at 2 out of 8 actively recruiting centers in the trial. Analyzed data including age, gender, race, NIHSS, lesion location, prior recanlization therapy and mode of consent (self-consent, LAR-consent). Results: Of the 44 patients approached for consent at the two centers, 22 (50%) agreed to participate in the clinical research trial. A trend for higher rate of consent refusal in older patients was noted (mean age of consented patients was 61±11 vs 69±12 on patients with declined consent; p=0.06). The mode of consenting (self-consent vs. LAR-consent) had no impact consenting/refusal rates. Males gender was associated with a significantly higher rate of consent, as well as patients with lower NIHSS. Race and lesion location had no impact on the rates of consent refusal. The multivariate logistic regression analysis revealed male gender as the only variable independently associated with higher rate of consent (OR 7.2; 95%CI 1.6-31.5; p=0.008). The only variable independently associated with LAR-consenting after multivariate binary logistic regression was NIHSS (OR 1.15; 95%CI 1.01-1.31; p=0.03). Conclusions: There was a high rate of consent among eligible patients in the first US intra-arterial trial of stem cell therapy for stroke. Male gender was significantly associated with higher overall consent rate and lower NIHSS with proxy consenting.
Comparison of the Effect of Human Interaction, Animal-Assisted Therapy, and AIBO-Assisted Therapy on Long-Term Care Residents with Dementia

ABSTRACT The number of elderly people in the United States is projected to more than double to 80 million by the year 2050, which will likely result in an increased incidence of dementia. Although AAT programs have been instituted as therapeutic activities for residents of long-term care facilities, there is little research documenting their effectiveness, especially in patients with dementia, who have difficulty maintaining contact with the external world. In addition, some long-term care facilities may be reluctant to include AAT in their facilities due to concerns about infection, injury, animal care, or cleanliness. The use of Sony's computerized, or robotic, “pet” called AIBO, may be a means of stimulating social interaction in residents with dementia without the drawbacks associated with live animal visitation. This study compares the effects of visitation by a person, a person accompanied by a live dog, and a person accompanied by an AIBO, on behavioral indicators of social interaction among female nursing home residents with dementia. All three types of visits stimulated residents to initiate conversation, touches, and looks at other individuals (human, dog, and AIBO) and provided contacts with the outside world. Both the live dog and AIBO stimulated resident social interaction beyond that stimulated by the visitor alone. The AIBO induced longer looks and more resident-initiated conversation than the live dog and provided a positive source of social interaction. While all three types of visits stimulated nursing home resident social interaction, the success of the robotic dog in stimulating social interaction by dementia residents suggests that it may provide a viable alternative to live animal visitations.
Salud mental de migrantes centroamericanos indocumentados en tránsito por la frontera sur de México

Objective. To identify the perception and needs in mental health of Central American migrants in transit through Tapachula, Chiapas. Materials and methods. Qualitative study in a migrant shelter in Tapachula, Chiapas. In 20 semi-structured interviews with migrant men and women, we explored their perceptions on mental health and expectations on care. We used basic notions of phenomenology to guide the analysis. Results. Migrants had several mental health problems related to the conditions at their country of origin and due to their initial transit through Mexico. Their perception on mental health problems was heavily influenced by the biomedical health paradigm. The expectations they had on the provision of services were related to the satisfaction of basic needs. Conclusions. It is necessary to strengthen the governmental response to mental health needs through collaborative strategies. Also, actions are needed to further the understanding of mental health in order to transcend the biomedical notions that stigmatize, segregate and create a barrier to accessing services.
A Time-Series Analysis of Crime and Drug Use in New York City

This report summarizes the results of a project which investigated the time series interrelationships between crime, drug use, police, and arrests in New York City. We use monthly data from 1970 through 1990 for New York City. We plot the individual time series for five different non-drug crimes, arrest rates for these crimes, drug deaths, number of police officers, and drug arrests in New York City. We find that drug usage, as proxied by drug deaths, increased from the mid-1980's to about 1988-1989. At the same time, felony drug arrests increased substantially. During the mid-1980's, there were increases in murders, assaults, and motor vehicle thefts. Robberies increased in the later 1980s and burglaries declined throughout the 1980s. Arrest rates and total arrests for non-drug crimes did not decline during this period of increased drug arrests. In a multivariate analysis, we found that the three property crimes investigated - robberies, burglaries and motor vehicle thefts - increased when there were unexpected increases in drug usage. We did not find such a relationship between drug use and murders or assaults, holding constant arrest rates and police. In addition, we found evidence of police deterrence, either directly, or through arrests, of property-related and assault offenses, but not for murders. Thus, in a time-series approach, we are able to find a causal relationship between drug usage and property-related felonies.