Miracle-dz/UniFAR-FTUs huggingface dataset:
"Giving a little 'ayyy, I feel ya' to someone's personal post"

Social media platforms offer people a variety of ways to interact, ranging from public broadcast posts, to comments on posts, to private messages, to paralinguistic interactions such as "liking" posts. In 2015, the commenting function "replies" was temporarily removed from Tumblr, providing a unique opportunity to study the deprivation of a standard social media feature. We administered a survey to investigate Tumblr users' perceptions and use of replies. Respondents reported that they used replies to simultaneously support others' performance and their own. Respondents compared replies to other digital interaction channels such as paralinguistic interactions, the sharing feature "reblogs", and "direct messages" (DMs), citing social considerations and norms around each. We used Goffman's performance theory to draw insights on the perceived semi-public / semi-private space of replies, which enabled users to perform supportive actions that did not belong in their main blogging identity frontstage but that were not backstage either. We discuss the limitation of performance theory to describe a presentation to a limited but unknown audience, and we describe how replies enabled new frontstages such as the delicate ramp up to the performance of intimacy in DMs. We discuss implications for performing support and identity on social media with audiences that are perceived as limited but are unknown.
Of 11 candidate steroids, corticosterone concentration standardized for mass is the most reliable steroid biomarker of nutritional stress across different feather types

Abstract Measuring corticosterone in feathers has become an informative tool in avian ecology, enabling researchers to investigate carry‐over effects and responses to environmental variability. Few studies have, however, explored whether corticosterone is the only hormone expressed in feathers and is the most indicative of environmental stress. Essential questions remain as to how to compare hormone concentrations across different types of feathers and whether preening adds steroids, applied after feather growth. We used liquid chromatography coupled to tandem mass spectrometry to quantify a suite of 11 steroid hormones in back, breast, tail, and primary feathers naturally grown at overlapping time intervals by rhinoceros auklet Cerorhinca monocerata captive‐reared fledglings and wild‐caught juveniles. The captive‐reared birds were raised on either a restricted or control diet. Measured steroids included intermediates in the adrenal steroidogenesis pathway to glucocorticoids and the sex steroids pathway to androgens and estrogens. Corticosterone was detected in the majority of feathers of each type. We also detected cortisone in back feathers, androstenedione in breast feathers, and testosterone in primary feathers. Captive fledglings raised on a restricted diet had higher concentrations of corticosterone in all four feather types than captive fledglings raised on a control diet. Corticosterone concentrations were reliably repeatable across feather types when standardized for feather mass, but not for feather length. Of the seven hormones looked for in uropygial gland secretions, only corticosterone was detected in one out of 23 samples. We conclude that corticosterone is the best feather‐steroid biomarker for detection of developmental nutritional stress, as it was the only hormone to manifest a signal of nutritional stress, and that exposure to stress can be compared among different feather types when corticosterone concentrations are standardized by feather mass.
Backscatter Based Cooperative Transmission in Wireless-Powered Heterogeneous Networks

In this paper, we propose backscatter based cooperative transmission for wireless-powered heterogeneous networks (WPHetNets). In WPHetNets, where various kinds of nodes such as high-power base station (e.g., TV tower, macro base station) and small-power access point (e.g., WiFi) coexist, we aim to increase transmission range and support fair communication for battery-free internet-of-things (IoT) devices through user cooperation. For this, we propose long-range bistatic backscatter (BB) based distributed beamforming (DTB) where ambient backscatter (AB) supports short-range information exchange between devices for energy neutral operation, which is termed 'Cooperation mode'. In order to ensure fairness between devices, we formulate common-throughput maximization problem, where an algorithm for optimal time allocation is presented. Comparing with 'Non-Cooperation mode' (i.e., no information exchange via AB) and active RF based cooperation schemes, the proposed scheme is shown to increase both coverage and fairness between IoT devices for low-power wide area network (LP-WAN).
Respiratory syncytial virus increases eosinophil extracellular traps in a murine model of asthma

Background Respiratory viral infections are the leading cause of asthma exacerbations. Eosinophil activation results in the formation of eosinophil extracellular traps (EETs), which release web-like structures of DNA and proteins that bind, disarm and extracellularly kill pathogens. Objective We investigated whether the respiratory syncytial virus (RSV) in vitro could induce EETs in bronchoalveolar lavage fluid eosinophils in a murine model of asthma. Methods BALB/cJ mice (6–8 weeks old) were sensitized with 2 subcutaneous injections of ovalbumin (20 μg) on days 0 and 7, followed by three intranasal challenges with ovalbumin (100 μg) on days 14, 15, and 16 of the protocol. The control group received Dulbecco's phosphate-buffered saline. Bronchoalveolar lavage fluid eosinophils of ovalbumin group or control group were stimulated with RSV (103 PFU/mL) in vitro for 3 hours. After that, culture supernatant was collected to perform the analyses proposed in this study. Results We verified an increase in extracellular DNA concentration in bronchoalveolar lavage fluid eosinophils from ovalbumin group stimulated with RSV (103 PFU/mL) in vitro, which was confirmed by confocal microscopy. We demonstrated that most cells are negative for annexin V and propidium iodide in all groups evaluated. Also, RSV in vitro decreased interferon-ɣ in culture supernatant when compared to the ovalbumin group. Conclusion In this study, we demonstrated for the first time that RSV in vitro induces EETs formation in eosinophils from asthmatic mice.
Energy Savings Using Wake-Up Receivers - An Analysis of Optimal Designs

With increasing number of wirelessly connected devices having limited energy resources, energy efficient solutions become more and more important. Many studies have addressed schemes where low-power wake-up receivers are used to improve energy efficiency in networks with low traffic intensity (per node) and demands on availability. One such scheme is the duty-cycled wake-up receiver medium access (DCW-MAC) scheme, for which we have detailed understanding of achievable energy savings. In this paper we combine these with recent bounds on the characteristics of optimal low-power receiver designs. What we find is that network energy savings are always achievable with optimally designed wake-up receivers. Moreover, potential network energy savings increase as wake-up receiver power consumption decreases, despite the associated degradation in performance. The lowest network energy consumption, for this type of network, is reached for wake-up receivers pushed to the limit of functioning.
Neutrophil-To-Lymphocyte Ratio Predicted Long-Term Chemotherapy Benefits In Stage IIIB-IV Non-Squamous Non-Small Cell Lung Cancer Patients Without Sensitive Mutations

Purpose To investigate the predictive capability of clinical parameters for long-term chemotherapy benefits among stage IIIB-IV non-squamous non-small cell lung cancer (NSCLC) patients without sensitive mutations. Patients and methods We investigated the clinical features of 206 stage IIIB-IV non-squamous NSCLC patients without sensitive mutations and assessed their predictive value for disease control rate (DCR) at 6 and 12 months post-treatment. Results Seventy-two patients received docetaxel and platinum-based chemotherapy while 134 received pemetrexed and platinum-based chemotherapy. The 6-month and 12-month DCR were 33 (45.8%) and 6 (8.3%) in the docetaxel group and 69 (51.5%) and 19 (14.2%) in the pemetrexed group, respectively. Univariate Cox regression revealed that age, sex, smoking history, adrenal gland metastasis, stage IV disease, neutrophil-to-lymphocyte ratio (NLR), and serum albumin were associated with unfavorable progression-free survival (PFS). Age, stage IV disease, and NLR were identified as independent predictors of PFS using multivariate analysis. NLR was the only parameter that could predict 3-month and 6-month DCRs. NLR and age were able to predict 12-month DCR, with NLR presenting a larger area under the curve. Kaplan–Meier curves demonstrated that patients with NLR > 2.231 displayed significantly reduced long-term disease control. The group with higher NLR had more male patients, lower ALB levels, and serum sodium levels as well as higher platelet counts. Conclusion NLR was an independent predictor of long-term chemotherapy benefits among non-squamous NSCLC patients without sensitive mutations. Patients with lower NLR were optimal candidates for chemotherapy. Patients with high NLR may receive alternative treatments or be included in clinical trials.
DynaBurst: Dynamically Assemblying DRAM Bursts over a Multitude of Random Accesses

The effective bandwidth of the FPGA external memory, usually DRAM, is extremely sensitive to the access pattern. Nonblocking caches that handle thousands of outstanding misses (miss-optimized memory systems) can dynamically improve bandwidth utilization whenever memory accesses are irregular and application-specific optimizations are not available or are too costly in terms of design time. However, they require a memory controller with wide data ports on the FPGA side and cannot fully take advantage of the memory interfaces with multiple narrow ports that are common on SoC FPGAs. Moreover, as their scope is limited to single memory requests, the access pattern they generate may cause frequent DRAM row conflicts, which further reduce DRAM bandwidth. In this paper, we propose DynaBurst, an extension of miss-optimized memory systems that generates variable-length bursts to the memory controller. By making memory accesses locally more sequential, we minimize the number of DRAM row conflicts, and by adapting the burst length on a per-request basis we minimize bandwidth wastage. On a multiple, narrow-ported DDR3 controller, we provide 28% geometric mean and up to 3.4x speedup compared to a traditional nonblocking cache of the same area, while the prior single-request approach would not have been cost-effective. On a controller with a single, wide port, we can further improve the performance of miss-optimized systems by up to 2.4x.
Nutritional Management of Fresh Cows: Helping for Smooth Take Off

 Increasing dietary starch content does not always increase milk production of fresh cows. Cows fed high-starch close-up diets may respond better to high starch diets postpartum, but cows fed low-starch controlled-energy diets before calving likely respond better to low starch diets during the fresh period. The fresh period is a part of the calving transition period, and optimum postpartum nutritional management is likely affected by nutritional management before calving.
"Coming Out Okay"

Online communities provide support for those who are vulnerable, such as LGBTQ people while coming out. Research shows that social support and personal narrative construction are important when recovering from personal crises and traumatic events. As an online community focused on writing fanfiction and also consisting of a large number of LGBTQ members, transformative fandom provides an opportunity to examine the relationship between support, crisis, and narrative. Through an interview study with 31 LGBTQ fanfiction authors, our findings mirror Herman's model of trauma recovery: these spaces self-organize to support recovery work through constructing "community narratives" that help LGBTQ people establish safety when exploring their identity and build LGBTQ support structures without publicly outing themselves before they are ready, challenge stereotypes, and support others through reshaping existing media that perpetuate inaccurate or harmful LGBTQ narratives. These online communities embody "selective visibility"--that is, though not specifically designed as support structures for identity work and recovery, their design allows people to selectively find and create communities of support for stigmatized issues that they might be unable to safely seek out in other spaces. Based on lessons learned, we generate insights that can inform the design of safe support spaces online.
SLAMBooster: An Application-Aware Online Controller for Approximation in Dense SLAM

Simultaneous Localization and Mapping (SLAM) is the problem of constructing a map of a mobile agent's environment while localizing the agent within the map. Dense SLAM algorithms perform reconstruction and localization at pixel granularity. These algorithms require a lot of computational power, which has hindered their use on low-power resource-constrained devices. Approximate computing can be used to speed up SLAM implementations as long as the approximations do not prevent the agent from navigating correctly through the environment. Previous studies of approximation in SLAM have assumed that the entire trajectory of the agent is known before the agent starts, and they have focused on offline controllers that set approximation knobs at the start of the trajectory. In practice, the trajectory is usually not known ahead of time, and allowing knob settings to change dynamically opens up more opportunities for reducing computation time and energy. In this paper, we describe SLAMBooster, an application-aware, online control system for dense SLAM that adaptively controls approximation knobs during the motion of the agent. SLAMBooster is based on a control technique called proportional-integral-derivative (PID) controller but our experiments showed this application-agnostic controller led to an unacceptable reduction in localization accuracy. To address this problem, SLAMBooster also exploits domain knowledge for controlling approximation by performing smooth surface detection and pose correction. We implemented SLAMBooster in the open-source SLAMBench framework and evaluated it on more than a dozen trajectories from both the literature and our own study. Our experiments show that on the average, SLAMBooster reduces the computation time by 72% and energy consumption by 35% on an embedded platform, while maintaining the accuracy of localization within reasonable bounds. These improvements make it feasible to deploy SLAM on a wider range of devices.
Vasculitic neuropathy associated with Rheumatoid Arthritis, a case report

ABSTRACT Rheumatoid vasculitis which affects small-to-medium-sized vessels is a rare and late complication of rheumatoid arthritis. It is defined histologically as immune complex deposition in venules, capillaries and arterioles.1 Vasculitis in the vasa nervorum leads to infarction of peripheral nerves which leads to neuropathy. We present a case of mononeuritis multiplex due to rheumatoid vasculitis.
Characterization of IL-17-producing T helper cells-like autoreactive T cells in aged mice

IL-17-producing T helper cells (Th17) are attracting attention as a new CD4-positive subset of T cells, reported to be responsible for various autoimmune diseases through stimulation of the release of inflammatory cytokines from target cells. However, most investigations of Th17 mediation of autoimmune diseases have focused on the experimental autoimmune models derived from young animals, with few studies that have analyzed physiological factors such as aging. The present study analyzed autoreactive T cells established in a syngeneic mixed lymphocyte culture (sMLC) from aged mice and examined their similarity with Th17. IL-17-producing autoreactive CD4-intermediate T cells were observed in the sMLC; these expressed several stem cell markers or an immunosuppressive receptor PD-1 on the cell surface and so seemed to be different to typical Th17 cells. RT-PCR analysis revealed that purified Th17-like cells also expressed Il17a, Il17f, Il23r, Rorc and Tdt mRNA, but not Rag1 or Rag2 mRNA. These findings that it is likely that Th17-like cells are involved in autoimmune responses in aged mice.
Extreme root resorption in orthodontic practice: teeth do not have to be replaced with implants

ABSTRACT The replacement of natural teeth that have extreme external apical root resorption, induced by orthodontic treatment, with osseointegrated implants is not justifiable biologically or clinically. These teeth should be preserved and keep their normal functions, as there is no greater mobility, pain or color change. They may undergo usual procedures, such as bleaching, restorations with veneers and other esthetic procedures that may be necessary along life. The pulp of these teeth is normal. If mobility of a tooth with extreme resorption is identified, the cause of mobility should be investigated, as it is not associated with resorption, not even at advanced stages. Tooth mobility may be associated with recent removal of orthodontic appliance, occlusal trauma, chronic inflammatory periodontal disease, or even severe cervical bone loss. In such cases, the cause of mobility should be eliminated and possible sequelae should be corrected, because these, and not root resorption, may actually require retention.
Applying Machine Learning to Identify Autism With Restricted Kinematic Features

Existing diagnosis of the autism spectrum disorder (ASD) heavily depends on the informant’s evaluation of the patient’s behavior, which is both time consuming and labor demanding. In order to develop a rapid diagnostic tool with high accuracy, machine learning (ML) approaches have been proposed to explore the feasibility of identifying ASD with a limited number of features extracted from behavioral evaluation, neuroimaging and kinematic data. Though restricted and repetitive behavior (RRB) is one of the cardinal symptoms of ASD, no study has been conducted to investigate whether restricted kinematic features (RKF) could be used to identify ASD. The present study aimed to address this question. Twenty children with high functioning autism and twenty-three children with typical development (TD) were recruited. They were instructed to perform a motor task that required the execution of the utmost variant movement. Entropy and 95% range of the movement amplitude, velocity and acceleration were computed as indices of RKF. Five ML classifiers were trained and tested including support vector machine (SVM), Linear Discriminant Analysis (LDA), Decision tree (DT), Random forest (RF), and K nearest neighbor (KNN). Results showed that the KNN algorithm ( $k = 1$ ) yielded the highest classification accuracy with four kinematic features (accuracy: 88.37%, specificity: 91.3%, sensitivity: 85%, AUC: 0.8815). Our study demonstrated that RKF could help robustly identify ASD. It is inferred that the application of ML on genetic, neuroimaging, psychological and kinematic features might pose a considerable challenge to the current diagnostic criteria of ASD, and might potentially lead to an automated and objective diagnosis of ASD.
Determinan Perilaku Tes HIV pada Ibu Hamil

Human immunodeficiency virus (HIV) dan Acquired immune deficiency syndrome (AIDS) merupakan salah satu sorotan dalam pencapaian target Millenium Development Goals (MDGs). Ibu hamil dengan HIV akan berisiko menularkan kepada bayinya. Tes HIV merupakan gerbang pembuka status HIV yang sangat penting dilakukan pada ibu hamil. Penelitian ini bertujuan untuk menentukan determinan perilaku tes HIV pada ibu hamil yaitu tingkat pendidikan, tingkat pengetahuan, persepsi kerentanan diri tertular HIV, sikap, Provider-Initiated Testing and Counselling (PITC) dan ketersediaan sumber informasi (keluarga dan kader kesehatan). Jenis penelitian adalah potong lintang dengan metode survei. Penelitian ini dilakukan di Puskesmas Mantrijeron dan Puskesmas Sleman yang telah memiliki sarana pemeriksaan tes HIV dan telah menjalankan program Pencegahan Penularan dari Ibu ke Anak (PPIA). Subjek penelitian adalah ibu hamil yang berkunjung ke puskesmas tersebut pada bulan Agustus sampai dengan Oktober 2014 yang berjumlah 54 orang. Pengumpulan data menggunakan kuesioner. Analisis yang digunakan univariat, bivariat, dan multivariat. Hasil penelitian menunjukkan tidak ada hubungan tingkat pendidikan, tingkat pengetahuan tentang HIV dan AIDS, persepsi kerentanan diri dan sikap ibu. Ada hubungan antara PITC, ketersediaan sumber informasi tentang HIV dan AIDS dari keluarga dan kader kesehatan dengan perilaku tes HIV pada ibu hamil. PITC merupakan variabel yang paling berpengaruh terhadap perilaku tes HIV pada ibu hamil. Determinant of HIV Testing Behavior among Pregnant Women Human immunodeficiency virus (HIV) and Acquired immune deficiency syndrome (AIDS) is one of highlighted issues in accomplishing Millenium Development Goals (MDGs) target. Pregnant women with HIV will transmit the virus to their babies. HIV testing is such an opening gate of HIV status that is very important to be conducted on pregnant women. This study aimed to determine the determinant of HIV testing behaviour among pregnant women including education level, knowledge level, perception of selfvulnerability to be HIV-infected, attitudes, Provider-Initiated Testing and Counseling (PITC) and availability of information (family and health workers). This study was cross sectional using a survey method. This study was conducted in Mantrijeron and Sleman Primary Health Care that had HIV testing facilities and executed prevention of mother to child transmission program. The subjects of this study were pregnant women visiting such primary health care on August up to October 2014, as much as 54 people. Data collecting used questionnaire. Analysed used were univariate, biviariate, and multivariate. The results showed no relation between educational level, knowledge level about HIV and AIDS, perception of self-vulnerability and attitudes of women.There was a relation between PITC, information source availability about HIV and AIDS from the family and health workers with HIV testing behaviour among pregnant women. PITC is the most influencing variable toward HIV testing behaviour among pregnant women.
Enhanced AoA Estimation Using Localized Hybrid Dual-Polarized Arrays

With balanced system performance, implementation complexity and hardware cost, hybrid antenna array is regarded as an enabling technology for massive multiple-input and multiple-output communication systems in millimeter wave (mmWave) frequencies. Angle-of-arrival (AoA) estimation using a localized hybrid array faces the challenges of the phase ambiguity problem due to its localized nature of array structure and susceptibility to noises. This paper discusses AoA estimation in an mmWave system employing dual-polarized antennas. We propose an enhanced AoA estimation algorithm using a localized hybrid dual-polarized array for a polarized mmWave signal. First, the use of dual-polarized arrays effectively strengthens the calibration of differential signals and resulting signal-to-noise ratio with coherent polarization combining, leading to an enhanced estimate of the phase offset between adjacent subarrays. Second, given the phase offset, an initial AoA estimate can be obtained, which is used to update the phase offset. By employing the updated one, the AoA is re- estimated with improved accuracy. The closed-form mean square error (MSE) lower bounds of AoA estimation are derived and compared with simulated MSEs. The simulation results show that the proposed algorithm in combination with hybrid dual- polarized arrays significantly improves the estimation accuracy compared with the state of the art.