Miracle-dz/UniFAR-FTUs huggingface dataset:
Relacks

The increasing number of embedded, plugged-in radios around homes and offices in everyday objects such as appliances, TVs, and smart speakers provides an excellent opportunity to bring ultra-low-power backscatter connectivity to billions of devices. However, backscatter links suffer from high loss due to two consecutive propagations and have to operate on narrow link-budget margins, which makes them more susceptible to multipath losses in indoor environments. To address this, we propose a closed-loop backscatter system that exploits diversity sources such as communication frequency and transceivers antennas based on the channel metrics to deliver reliable coverage over an entire area. We prototype a backscatter system with Bluetooth Low Energy (BLE) transceivers and BLE compatible tags and deploy it in several multipath rich indoor environments. Our evaluations show that we can successfully communicate with a backscatter tag in a 50m2 indoor area. The proposed algorithm for selecting communication parameters achieves an average 2.7 x success rate compared to the random selection while satisfying FCC output power requirements for frequency hopping transceivers.
MAIL

Knowing accurate indoor locations of pedestrians has great social and commercial values, such as pedestrian heatmapping and targeted advertising. Location estimation with sequential inputs (e.g., geomagnetic sequences) has received much attention lately, mainly because they enhance the localization accuracy with temporal correlations. Nevertheless, it is challenging to realize accurate localization with geomagnetic sequences due to environmental factors, such as non-uniform ferromagnetic disturbances. To address this, we propose MAIL, a multi-scale attention-guided indoor localization network, which turns these challenges into favorable advantages. Our key contributions are as follows. First, instead of extracting a single holistic feature from an input sequence directly, we design a scale-based feature extraction unit that takes variational anomalies at different scales into consideration. Second, we propose an attention generation scheme that identifies attention values for different scales. Rather than setting fixed numbers, MAIL learns them adaptively with the input sequence, thus increasing its adaptability and generality. Third, guided by attention values, we fuse multi-scale features by paying more attention to prominent ones and estimate current location with the fused feature. We evaluate the performance of MAIL in three different trial sites. Evaluation results show that MAIL reduces the mean localization error by more than 36% compared with the state-of-the-art competing schemes.
BodyCompass: Monitoring Sleep Posture with Wireless Signals

Monitoring sleep posture is important for avoiding bedsores after surgery, reducing apnea events, tracking the progression of Parkinson’s disease, and even alerting epilepsy patients to potentially fatal sleep postures. Today, there is no easy way to track sleep postures. Past work has proposed installing cameras in the bedroom, mounting accelerometers on the subject’s chest, or embedding pressure sensors in their bedsheets. Unfortunately, such solutions jeopardize either the privacy of the user or their sleep comfort. In this paper, we introduce BodyCompass, the first RF-based system that provides accurate sleep posture monitoring overnight in the user’s own home. BodyCompass works by studying the RF reflections in the environment. It disentangles RF signals that bounced off the subject’s body from other multipath signals. It then analyzes those signals via a custom machine learning algorithm to infer the subject’s sleep posture. BodyCompass is easily transferable and can apply to new homes and users with minimal effort. We empirically evaluate BodyCompass using over 200 nights of sleep data from 26 subjects in their own homes. Our results show that, given one week, one night, or 16 minutes of labeled data from the subject, BodyCompass’s corresponding accuracy is 94%, 87%, and 84%, respectively.
Pairwise Fairness in Ranking as a Dissatisfaction Measure

Fairness and equity have become central to ranking problems in information access systems, such as search engines, recommender systems, or marketplaces. To date, several types of fair ranking measures have been proposed, including diversity, exposure, and pairwise fairness measures. Out of those, pairwise fairness is a family of metrics whose normative grounding has not been clearly explicated, leading to uncertainty with respect to the construct that is being measured and how it relates to stakeholders' desiderata. In this paper, we develop a normative and behavioral grounding for pairwise fairness in ranking. Leveraging measurement theory and user browsing models, we derive an interpretation of pairwise fairness centered on the construct of producer dissatisfaction, tying pairwise fairness to perceptions of ranking quality. Highlighting the key limitations of prior pairwise measures, we introduce a set of reformulations that allow us to capture behavioral and practical aspects of ranking systems. These reformulations form the basis for a novel pairwise metric of producer dissatisfaction. Our analytical and empirical study demonstrates the relationship between dissatisfaction, pairwise, and exposure-based fairness metrics, enabling informed adoption of the measures.
A SECURE DATA ROUTIN PROTOCOL IN HOMOGENE

— In this paper, we propose the encryption plan named (ECC Cryptography (ECC) and Homomorphic Encryption (HE) algorithm to make sure the transmitte Homogeneous Wireless sensor networks (HWSNs) are protected and confident. The proposed plan encryption is constructed under Artificial Bee Colony Routing Method (ABCRM). The ABCRM used to balancing node energy consumption due to get the higher pe additionally to low-end sensors as large number. To investigate the ability for providing the high data security with small size for key by using the ECC, because the ECC method for excha the sensor node identification number, and distance between this sensor nodes with to them cluster head (CH) using to produce the encryption plan key which represented to proposed the data security. To reduce the C energy consumption, using second part from this encryption method (HE encryption) to let the CH to aggregate the encrypted data. The Simulation proposed method results prove the greatly improve lifespan network performance established of energy consumpt
Decoupled Localization and Sensing with HMD-based AR for Interactive Scene Acquisition

Real-time tracking and visual feedback offer interactive AR-assisted capture systems as a convenient and low-cost alternative to specialized sensor rigs and robotic gantries. We present a simple strategy for decoupling localization and visual feedback in these applications from the primary sensor being used to capture the scene. Our strategy is to use an AR HMD and 6-DOF controller for tracking and feedback, synchronized with a separate primary sensor for capturing the scene. This approach allows for convenient real-time localization of sensors that cannot do their own localization (e.g., microphones). In this poster paper, we present a prototype implementation of this strategy and investigate the accuracy of decoupled tracking by mounting a high resolution camera as the primary sensor, and comparing decoupled runtime pose estimates to the pose estimates of a high-resolution offline structure from motion.
Saddlepoint approximations for the sum of independent non‐identically distributed binomial random variables

We discuss saddlepoint approximations to the distribution of the sum of independent non‐identically distributed binomial random variables. We examine the accuracy of the saddlepoint methods for a sum of 10 binomials with different sets of parameter values. The numerical results indicate that the saddlepoint approximations provide very accurate estimates for the probability mass function and the right‐tail probabilities for the cumulative distribution function of the sum.
Accelerated methotrexate, vinblastine, doxorubicin, and cisplatin is safe, effective, and efficient neoadjuvant treatment for muscle-invasive bladder cancer: results of a multicenter phase II study with molecular correlates of response and toxicity.

PURPOSE Neoadjuvant cisplatin-based chemotherapy is standard of care for muscle-invasive bladder cancer (MIBC); however, it is infrequently adopted in practice because of concerns regarding toxicity and delay to cystectomy. We hypothesized that three cycles of neoadjuvant accelerated methotrexate, vinblastine, doxorubicin, and cisplatin (AMVAC) would be safe, shorten the time to surgery, and yield similar pathologic complete response (pT0) rates compared with historical controls. PATIENTS AND METHODS Patients with cT2-T4a and N0-N1 MIBC were eligible and received three cycles of AMVAC with pegfilgrastim followed by radical cystectomy with lymph node dissection. The primary end point was pT0 rate. Telomere length (TL) and p53 mutation status were correlated with response and toxicity. RESULTS Forty-four patients were accrued; 60% had stage III to IV disease; median age was 64 years. Forty patients were evaluable for response, with 15 (38%; 95% CI, 23% to 53%) showing pT0 at cystectomy, meeting the primary end point of the study. Another six patients (14%) were downstaged to non-muscle invasive disease. Most (82%) experienced only grade 1 to 2 treatment-related toxicities. There were no grade 3 or 4 renal toxicities and no treatment-related deaths. One patient developed metastases and thus did not undergo cystectomy; all others (n = 43) proceeded to cystectomy within 8 weeks after last chemotherapy administration. Median time from start of chemotherapy to cystectomy was 9.7 weeks. TL and p53 mutation did not predict response or toxicity. CONCLUSION AMVAC is well tolerated and results in similar pT0 rates with 6 weeks of treatment compared with standard 12-week regimens. Further analysis is ongoing to ascertain whether molecular alterations in tumor samples can predict response to chemotherapy.
Swimming

Abstract This study examined the grab, track and handle swimming racing starts by elite‐level swimmers. Videography was used to analyse these starts before and after a period of dive start practice. Participants underwent 2‐4 sessions weekly until 14±2 practice sessions were completed. Practice sessions comprised 5 grab starts (preferred technique) and 10 handle starts; or 5 grab starts and 10 track starts. The performance criterion measure was time to 10 m. Reaction, movement, block and flight times, flight distance, and the centre of mass at the set position were measured. No significant differences between dive groups in time to 10 m were revealed pre‐ or post‐training. The training period further exaggerated the differences in centre of mass positions in the set position between the three techniques. The handle start revealed a significant change forward in the centre of mass that allowed for decreased movement and block times. The training period improved 10 m, reaction, movement, block and flight times irrespective of the technique used. Hence, regular dive start practice significantly improved the start performances of elite swimmers. Coaches should consider including regular dive practice sessions of approximately 15 minutes to improve dive start performances.
ACHIEVING INDIVIDUALLY SUSTAINED COMMITMENT TO TREATMENT THROUGH SELF-CONSTRUCTED MODELS OF MEDICAL ADHERENCE

One of the main challenges facing medication adherence research is to provide a framework that allows patients and practitioners to effectively use the many efficacious treatments that will undoubtedly be developed in the new millennium. This framework, especially for chronic disorders, must be based on requiring patients to make the long-term behavioral changes needed to achieve a high level of commitment to these treatments. The best way to generate this high level of commitment is through a paradigm shift away from medical and patient models toward models that incorporate the social psychological literature focusing on how people's sense of self is constructed, enacted, and sustained over the life course. This review demonstrates the need, value, and appearance of this shift. First, it describes a previous paradigm shift in the medication adherence literature and then argues that a new paradigm shift is necessary. Second, it identifies and describes the models currently used in adherence research and notes three critical shortcomings of these models. Finally, it demonstrates how symbolic interaction's identity theory may be used creatively to overcome these shortcomings and convert efficacious treatments into effective treatments. Developing such an approach would well position the medication adherence research field for excellent contributions to the treatment of chronic disorders in the twenty-first century.
A school‐based group experience on racial identity and race relations

Abstract By providing a space in which students can freely share their thoughts, feelings, and experiences related to race and racism, clinical practitioners validate that even though the topic may be painful and/or controversial, it is neither taboo nor unmanageable. This paper will describe and analyze the authors’ experiences in co‐facilitating two concurrent, school‐based psychoeducational groups designed to discuss race and racial identity. One group was composed entirely of Black, middle‐school students and the other entirely of White, middle‐school students. The groups were conducted in a therapeutic school setting. A general outline of the psychoeducational curriculum will be presented. Narratives from the group for Black students will be shared to illustrate themes of self‐identification, racial identity, reactions to cross‐cultural facilitation, and racial issues as the Black students experienced them within the therapeutic setting. Factors that contributed to the group for White students being less successful will be examined. The paper will conclude with personal reflections regarding the experience of cross‐cultural facilitation, and a discussion of how the racial identities, life experiences, and self‐awareness of clinicians affect their ability to facilitate racial identity development.
IEEE802.11p in fast fading scenarios: from traces to comparative studies of receive algorithms

We present an approach for using signal traces from Field Operational Tests (FOTs) for later evaluations and comparative studies of receive algorithms for the IEEE 802.11p PHY. In particular, we use Software Defined Radios (SDRs) to record the raw signal, i.e., complex baseband samples, from IEEE 802.11p transmissions during an experiment on the road. These samples are later used with our GNU Radio-based IEEE 802.11p implementation for studying different receive algorithms -- allowing for optimal comparability and repeatability. We exemplarily evaluate four typical algorithms ranging from simple ones currently used in commodity WLAN chips to more sophisticated ones proposed specifically for vehicular applications. We can show that fast fading scenarios lead to a significant packet error rate when using the standard algorithms. For better comparability, we make both our GNU Radio implementation as well as the collected traces publicly available.
Options…

DA 46 1231 12/2015 Material: 1.4571, ball valve 1.4408 Seals: PTFE/Graphite/1.4404 Max. working pressure: 85 psig Heater 115-230 V, 50/60Hz Temperature: self-regulating 250°F T3 / 160°F T4 Low temperature alarm: Contact is open at operating temperature, closes at < 200°F (T3) / < 115°F (T4); simple apparatus according to EN 60079-11; U 15 V, I = 22 mA; C/L~0 Ambient temperature: -5 to 175°F II 3G Ex nA IIC T3 Gc X II 3G Ex nA IIC T4 Gc X
Mapping the Dimensions of Successful Public Participation in Messy Natural Resources Management Situations

It is not an eye-opening statement to suggest that natural resource management increasingly occurs in turbulent, contentious settings. These settings are often typified by contested or ambiguous goals and lack of scientific agreement on cause? effect relationships. These settings are termed messy problems. The research reported here asked the question, What dimensions characterize successful public participation in a messy setting? Two ecosystem-based planning projects located in western Montana served as the research context for this study. Both projects contained a number of typically contentious resource management issues, such as logging, vegetation management, and fire as a management practice. Forty-two scientists, managers, and members of the public who participated in the two ecosystem-based planning processes were interviewed to address this question. Results indicated that participants provided answers reflecting several dimensions: writing a plan and implementing it; learning; interest representation; relationship building; creating responsibility; and gaining social and political acceptability.
From the Guest Editors

As members of the broader community call for and develop new ways to participate in civic arenas, we also see a parallel response in community engagement activity and communityengaged scholarship to support new types of public interaction. Community engagement activity and community-engaged scholarship are beginning to create opportunities to generate, mobilize, and evaluate knowledge in ways that align with emerging modes of public participation. An excerpt from Tina Nabatchi and Matt Leighninger’s (2015) new book entitled “Public Participation for 21 Century Democracy” effectively captures how access, ability, and interest to generate and mobilize new knowledge are setting the conditions for new types of public participation:
Editorial

Abstract In this editorial we summarise and comment on papers published in issue 8.4. The first paper is by Frederick Guy, entitled ‘Small, Local and Cheap? Walkable and Car-oriented Retail in Competition’. Secondly we have the paper by Nicola Francesco Dotti, Ugo Fratesi, Camilla Lenzi & Marco Percoco entitled ‘Local Labour Markets and the Interregional Mobility of Italian University Students’. The third paper is ‘Detecting Dependence Between Spatial Processes’ by Marcos Herrera, Manuel Ruiz & Jesus Mur. Fourthly, we have the paper entitled ‘Space-varying Coefficient Simultaneous Autoregressive Models for the Structural Analysis of Residential Water Demand’ by Koji Miyawaki. The final paper is by An-Ming Wang & Chung-Hsin Yang and entitled ‘The Price Effect on Spatial Structure: Revisiting the New Economic Geography Model’.
Community healing rituals for survivors of rape

Abstract The use of rituals for healing purposes is documented in anthropological contexts and within Eastern and Western religions. Therapeutic rituals are used in a variety of clinical social work contexts, most notably with individuals, groups, and families. This article explores the use of therapeutic ritual on a community level with survivors of rape. This collective context promotes intrapersonal and interpersonal healing, challenges rape myths, and allows the expression of group values and shared meanings. The candlelight vigil and the stone‐throwing ceremony, two community healing rituals developed by the author, are presented as a method to promote individual and community growth.
CSR in the UK Water Industry: ‘Doing the Right Thing’? A Case Study

All large business organisations consider corporate social responsibility (CSR) as an important part of business strategy. While this is not disputed, there are doubts over the effectiveness of these strategies and their contribution to a more sustainable development. For, despite all progress, environmental and social problems still exist or seem exacerbated (Meadows et al., 2004) and there are calls for new analytical lenses and approaches (Gladwin et al., 1995; Bebbington, 2007) to disentangle the interrelationships between CSR and sustainable development as a business practice. This paper presents selected key issues, which emerged from comprehensive grounded analysis within a UK water company as a manager and provider of a resource that is a necessary ‘social good’ whose availability and supply is increasingly affected by climate change. The case study consisted of an intra-organisational analysis but also included extensively the stakeholders involved in a wider analysis on the drivers and barriers to corporate sustainability. The analysis revealed that undoubtedly there has been progress in promoting sustainable development in the regulated water industry in which the organisation is based. This is evident in requirements for the preparation of 25-year strategic direction statements by water companies, aimed specifically at promoting a more long-term strategic (business) approach and the need to include substantial sustainability targets to demonstrate, for example, how they are responding to the challenges posed by climate change. In order to do so, the industry has not broken with a ‘business as usual’ ideology. It is necessary therefore to engage critically with business organisations in order to advance the agenda for sustainable development. Further, this paper suggests, it is essential to incorporate the complex interdependencies and conceptual ambiguities into analytical frameworks as individual companies seek to address sustainable development through CSR activities. Significantly, it seems evident that more leadership is necessary by government and regulators to ensure that more sustainable business organisations are not impeded by the business case for CSR.
Deployment and Families: Hero Stories and Horror Stories

Families who experience the deployment of their military member are exposed to unique stressors, are able to take advantage of military specific resources for support and coping, and experience a wide range of adaptational outcomes, from growth and resilience to dysfunction and disintegration. This article applies McCubbin's Family Resilience Model to the unique demands of each of the three phases in the military deployment cycle.
Mimetic finite-difference coupled-domain solver for anisotropic media

Accurately modeling full-wavefield solutions at and near the seafloor is challenging for conventional single-domain elastic finite-difference (FD) methods. Because they treat the fluid layer as a solid with zero shear-wave velocity, the energy partitioning for body and surface waves at the seafloor is distorted. This results in incorrect fluid/solid boundary conditions, which has significant implications for imaging and inversion applications that use amplitude information for model building. To address these issues, here we use mimetic FD (MFD) operators to develop and test a numerical approach for accurately implementing the boundary conditions at a fluid/solid interface. Instead of employing a single “global” model domain, we partition the full grid into two subdomains that represent the acoustic and elastic (possibly anisotropic) media. A novel split-node approach based on one-sided MFD operators is introduced to distribute grid points at the fluid/solid interface and satisfy the wave equation and the boundary conditions. Numerical examples demonstrate that such MFD operators achieve stable implementation of the boundary conditions with the same (fourth) order of spatial accuracy as that inside the split-domain interiors. We compare the wavefields produced by the MFD scheme with those from a more computationally expensive spectral-element method to validate our algorithm. The modeling results help analyze the events associated with the fluid/solid (seafloor) interface and provide valuable insights into the horizontal displacement or velocity components (e.g., recorded in ocean-bottom-node data sets). The developed MFD approach can be efficiently used in elastic anisotropic imaging and inversion applications involving ocean-bottom seismic data.