Miracle-dz/UniFAR-FTUs huggingface dataset:
Social Media Strategy: Marketing and Advertising in the Consumer Revolution

Social Media Strategy is your guide to practicing marketing, advertising, and public relations in a world of social media-empowered consumers. Grounded in a refreshing balance of concept, theory, industry statistics, and real-world examples, Keith Quesenberry introduces readers to the steps of building a complete social media plan and how companies can integrate the social media consumer landscape.This simple, systematic textleads readers through core marketing concepts and how to think critically about the competitive marketplaceeven as it shifts the perspective from an outdated communications-control model to a more effective consumer engagement methodprovides a step-by-step roadmap for planning social media marketing strategyemphasizes the need to apply solid marketing principles to social mediaexplores how to integrate social media throughout an entire organizationgives students and other readers skills vital for leveraging consumer knowledge and influence for the good of a brand.The end result delivers the context, process and tools needed to create a comprehensive and unique social media plan for any business or organization.
Progressive Partitioning for Parallelized Query Execution in Google's Napa

Napa holds Google's critical data warehouses in log-structured merge trees for real-time data ingestion and sub-second response for billions of queries per day. These queries are often multi-key look-ups in highly skewed tables and indexes. In our production experience, only progressive query-specific partitioning can achieve Napa's strict query latency SLOs. Here we advocate good-enough partitioning that keeps the per-query partitioning time low without risking uneven work distribution. Our design combines pragmatic system choices and algorithmic innovations. For instance, B-trees are augmented with statistics of key distributions, thus serving the dual purpose of aiding lookups and partitioning. Furthermore, progressive partitioning is designed to be "good enough" thereby balancing partitioning time with performance. The resulting system is robust and successfully serves day-in-day-out billions of queries with very high quality of service forming a core infrastructure at Google.
Real-time object segmentation based on convolutional neural network with saliency optimization for picking

: This paper concerns the problem of object segmentation in real-time for picking system. A region proposal method inspired by human glance based on the convolutional neural network is proposed to select promising regions, allowing more processing is reserved only for these regions. The speed of object segmentation is signi ﬁ cantly improved by the region proposal method. By the combination of the region proposal method based on the convolutional neural network and superpixel method, the category and location information can be used to segment objects and image redundancy is signi ﬁ cantly reduced. The processing time is reduced considerably by this to achieve the real time. Experiments show that the proposed method can segment the interested target object in real time on an ordinary laptop.
Forward Error Correction for Reliable e-MBMS Transmissions in LTE Networks

The Long Term Evolution (LTE) project focuses on enhancing the Universal Terrestrial Radio Access (UTRA) and optimizing 3rd Generation Partnership Project (3GPP) radio access architecture. A key new feature of LTE is the possibility to exploit the Orthogonal Frequency-Division Multiplexing (OFDM) radio interface to transmit multicast or broadcast data as a multicell transmission over a synchronized Single Frequency Network (SFN): this is known as Multimedia Broadcast and Multicast Service (MBMS) over Single Frequency Network (MBSFN) operation. MBSFN transmission enables a more efficient operation of the MBMS (3GPP, 2008a), allowing over-the-air combining of multi-cell transmissions towards the User Equipments (UEs). This fact makes the MBSFN transmission appear to the UE as a transmission from a single larger cell. Transmission on a dedicated carrier for MBSFN with the possibility to use a longer Cyclic Prefix (CP) with a sub-carrier bandwidth of 7.5 kHz is supported as well as transmission of MBSFN on a carrier with both MBMS transmissions and point-to-point (PTP) transmissions using time division multiplexing. MBMS service defines two delivery methods: the download and the streaming delivery. There are many ways to provide reliability in multicast transmission. The best-known method that operates efficiently for unicast transmission is the Automatic Repeat re-Quest (ARQ). When ARQ is applied in a multicast session, receivers send requests for retransmission of lost packets over a back channel towards the sender. Although ARQ is an effective and reliable tool for point-to-multipoint (PTM) transmission, when the number of receivers increases, it reveals its limitations. One major limitation is the feedback implosion problem which occurs when too many receivers are transmitting back to the sender. A second problem of ARQ is that for a given packet loss rate and a set of receivers experiencing losses, the probability that every single data packet needs to be retransmitted quickly approaches unity as the number of receivers increases. In other words, a high average number of transmissions are needed per packet. In wireless environments, ARQ has another major disadvantage. On most wired networks the feedback channel comes for free, but on wireless networks the transmission of feedback from the receiver can be expensive, either in terms of power consumption, or due to limitations of the communication infrastructure. Thus, due to its requirement for a bidirectional communication link, the
Fault Diagnosis of Lead-Zinc Smelting Furnace based on Multi-Class Support Vector Machines

Support vector machine (SVM) is powerful for the problem with small sampling, nonlinear and high dimension. A multi-class SVM classifier is applied to fault diagnosis of imperial smelting furnace in this paper. The input data is preprocessed through a special method based on the data reliability analysis technology, and six features are extracted as the input to multiple fault classifier for identify faults, which adapt an improved 'one to others' algorithm. The real application results show that the classifier has an excellent performance on training speed and reliability.
Long-Term Earnings Forecasts, Sentiment-Manipulation, and Stock Returns

We link stock mispricing driven by long-term earnings growth expectations to managerial “sentiment manipulation” in conglomerates. Conglomerates with high forecasted earnings growth and sentiment manipulation have low abnormal stock returns. This predictive relation is robust across estimation methods and when compared to pseudo-conglomerates. Specifically, high-growth conglomerates engaging in sentiment manipulation earn significant alpha of -11% per annum when accompanied by positive change in investor sentiment. The differenceindifference analyses based on the granular disclosure requirements of SFAS 131 show that analysts’ expectations of firm earnings are unaffected by manipulation, distinguishing sentiment manipulation from biased earnings expectations. Additionally, we find that mutual funds actively invest in high growth conglomerates with managerial distortion of earnings and underperform in the long run.
What Warnings Do Engineers Really Fix? The Compiler That Cried Wolf

—Build logs from a variety of Continuous Integration (CI) systems contain temporal data about the presence and distribution of compiler warnings. Results from the analysis and mining of that data will indicate what warnings engineers find useful and fix, or continuously ignore. The findings will include resolution times and resolution types for different warning categories. That data will help compiler developers adjust the warning levels according to the ground truth, clarify the diagnostic messages, and improve the non-actionable warnings. The empirical findings will also help engineers to decide what warnings are worth fixing and which ones are not.
Metagenomic analyses reveal the influence of depth layers on marine biodiversity in tropical and subtropical regions

The emergence of open ocean global-scale studies provided important information about the genomics of oceanic microbial communities. Metagenomic analyses shed a light on the structure of marine habitats, unraveling the biodiversity of different water masses. Many biological and environmental factors can contribute to marine organism composition, such as depth. However, much remains unknown about the taxonomic and functional features of microbial communities in different water layer depths. Here, we performed a metagenomic analysis of 76 samples from the Tara Ocean Project, distributed in 8 collection stations located in tropical or subtropical regions, and sampled from three layers of depth (surface water layer – SRF, deep chlorophyll maximum layer – DCM, and mesopelagic zone – MES). In total, we assigned genomic sequences to 669.713. 333 organisms. The SRF and DCM depth layers are similar in abundance and diversity, while the MES layer presents greater diversity than the other layers. Diversity clustering analysis shows differences regarding the taxonomic content of samples. At the domain level, bacteria prevail in the majority of samples, and the MES layer presents the highest proportion of archaea among all samples. A core of essential biological functions was identified between the depth layers, such as DNA replication, translation, transmembrane transport, and DNA repair. However, some biological functions were found exclusively in each depth layer, suggesting different functional profiles for each of them. Taken together, our results indicate that the depth layer influences microbial sample composition and diversity.
Taxonomic review of the genus Capoeta Valenciennes, 1842 (Actinopterygii, Cyprinidae) from central Iran with the description of a new species

The genus Capoeta in Iran is highly diversified with 14 species and is one of the most important freshwater fauna components of the country. Central Iran is a region with high number of endemism in other freshwater fish species, though the present species was recognized as C. aculeata (Valenciennes, 1844), widely distributed within Kavir and Namak basins. However previous phylogenetic and phylogeographic studies found that populations of Nam River, a tributary of the Hableh River in central Iran are different from the other species. In this study, the mentioned population is described as a new species based on morphologic and genetic characters.
Impelling Factors for Contracting COVID-19 Among Surgical Professionals During the Pandemic: A Multinational Cohort Study

Background Medical workers, including surgical professionals working in coronavirus disease 2019 (COVID-19) treating hospitals, were under enormous stress during the pandemic. This global study investigated factors endowing COVID-19 amongst surgical professionals and students. Methods This global cross-sectional survey was made live on February 18, 2021 and closed for analysis on March 13, 2021. It was freely shared on social and scientific media platforms and was sent via email groups and circulated through a personal network of authors. Chi-square test for independence, and binary logistic regression analysis were carried out on determining predictors of surgical professionals contracting COVID-19. Results This survey captured the response of 520 surgical professionals from 66 countries. Of the professionals, 92.5% (481/520) reported practising in hospitals managing COVID-19 patients. More than one-fourth (25.6%) of the respondents (133/520) reported suffering from COVID-19 which was more frequent in surgical professionals practising in public sector healthcare institutions (P = 0.001). Thirty-seven percent of those who reported never contracting COVID-19 (139/376) reported being still asked to practice self-isolation and wear a shield without the diagnosis (P = 0.001). Of those who did not contract COVID-19, 75.7% (283/376) were vaccinated (P < 0.001). Surgical professionals undergoing practice in the private sector (odds ratio (OR): 0.33; 95% confidence interval (CI): 0.14 - 0.77; P = 0.011) and receiving two doses of vaccine (OR: 0.55; 95% CI: 0.32 - 0.95; P = 0.031) were identified to enjoy decreased odds of contracting COVID-19. Only 6.9% of those who reported not contracting COVID-19 (26/376) were calculated to have the highest “overall composite level of harm” score (P < 0.001). Conclusions High prevalence of respondents got COVID-19, which was more frequent in participants working in public sector hospitals. Those who reported contracting COVID-19 were calculated to have the highest level of harm score. Self-isolation or shield, getting two doses of vaccines decreases the odds of contracting COVID-19.
What is prenatal stress? A scoping review of how prenatal stress is defined and measured within the context of food insecurity, housing instability, and immigration in the United States

Background: Stress during pregnancy can lead to significant adverse outcomes for maternal mental health. Early evaluation of prenatal stress can help identify treatment needs and appropriate interventions. Disparities in the social determinants of health can contribute to stress, but what constitutes stress during pregnancy within the social determinants of health framework is poorly understood. Objective: To scope how prenatal stress is defined and measured among pregnant people exposed to three prominent social stressors in the United States: insecurity pertaining to food, housing, and immigration. Eligibility Criteria: We included all studies that focused on stress during pregnancy in the context of food insecurity, housing instability, and immigration, given their recent policy focus due to the COVID-19 pandemic and ongoing political discourse, in addition to their importance in American College of Obstetricians and Gynecologists (ACOG’s) social determinants of health screening tool. Sources of Evidence: We searched PubMed, Scopus, and Web of Science for articles published between January 2012 and January 2022. Charting Methods: Using a piloted charting tool, we extracted relevant study information from the selected articles and analyzed the content pertaining to stress. Results: An initial search identified 1,023 articles, of which 24 met our inclusion criteria. None of the studies defined prenatal stress, and only one used the Prenatal Distress Questionnaire, a prenatal stress-specific tool to measure it. The Perceived Stress Scale was the most common instrument used in seven studies. Fifteen studies measured over 25 alternative exposures that researchers theorized were associated with stress, and 4 of the 15 studies did not explain the association between the measure and stress. Conclusions: Our findings demonstrate a fundamental inconsistency in how prenatal stress is defined and measured in the context of social determinants of health, limiting the comparison of results across studies and the potential development of effective interventions to promote better maternal mental health.
Cannabidiol and Cannabigerol, Nonpsychotropic Cannabinoids, as Analgesics that Effectively Manage Bone Fracture Pain and Promote Healing in Mice

Bone fractures are among the most prevalent musculoskeletal injuries, and pain management is an essential part of fracture treatment. Fractures heal through an early inflammatory phase, followed by repair and remodeling. Nonsteroidal anti‐inflammatory drugs (NSAIDs) are not recommended for fracture pain control as they potently inhibit the inflammatory phase and, thus, impair the healing. Opioids do not provide a better alternative for several reasons, including abuse potential. Accordingly, there is an unmet clinical need for analgesics that effectively ameliorate postfracture pain without impeding the healing. Here, we investigated the analgesic efficacy of two nonpsychotropic cannabinoids, cannabidiol (CBD) and cannabigerol (CBG), in a mouse model for tibial fracture. Mice with fractured tibiae exhibited increased sensitivity to mechanical, cold, and hot stimuli. Both CBD and CBG normalized pain sensitivity to all tested stimuli, and their analgesic effects were comparable to those of the NSAIDs. Interestingly, CBD and CBG promoted bone healing via multiple mechanisms during the early and late phases. During the early inflammatory phase, both cannabinoids increased the abundance of periosteal bone progenitors in the healing hematoma and promoted the osteogenic commitment of these progenitors. During the later phases of healing, CBD and CBG accelerated the fibrocartilaginous callus mineralization and enhanced the viability and proliferation of bone and bone‐marrow cells. These effects culminated in higher bone volume fraction, higher bone mineral density, and improved mechanical quality of the newly formed bone. Together, our data suggest CBD and CBG as therapeutic agents that can replace NSAIDs in managing postfracture pain as both cannabinoids exert potent analgesic effects and, at the same time, promote bone healing. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
Spatial and developmental patterns of the vegetation of Black Butte, Oregon

approved: AN ABSTRACT OF THE THESIS OF ROBERT JAMES SHERMAN for the DOCTOR OF PHILOSOPHY (Name) (Degree) in BOTANY presented on (Maj or) \ \ batej Title: SPATIAL AND DEVELOPMENTAL PATTERNS OF THE VEGETATION OF BLACK BUTTE, OREGON
Performance of Fracture Risk Assessment Tools by Race and Ethnicity: A Systematic Review for the ASBMR Task Force on Clinical Algorithms for Fracture Risk

The American Society of Bone and Mineral Research (ASBMR) Professional Practice Committee charged an ASBMR Task Force on Clinical Algorithms for Fracture Risk to review the evidence on whether current approaches for differentiating fracture risk based on race and ethnicity are necessary and valid. To help address these charges, we performed a systematic literature review investigating performance of calculators for predicting incident fractures within and across race and ethnicity groups in middle‐aged and older US adults. We included English‐language, controlled or prospective cohort studies that enrolled US adults aged >40 years and reported tool performance predicting incident fractures within individual race and ethnicity groups for up to 10 years. From 4838 identified references, six reports met eligibility criteria, all in women. Just three, all from one study, included results in non‐white individuals. In these three reports, non‐white women experienced relatively few major osteoporotic fractures (MOFs), especially hip fractures, and risk thresholds for predicting fractures in non‐white women were derived from risks in the overall, predominantly white study population. One report suggested the Fracture Risk Assessment Tool (FRAX) without bone mineral density (BMD) overestimated hip fracture similarly across race and ethnicity groups (black, Hispanic, American Indian, Asian, white) but overestimated MOF more in non‐white than White women. However, these three reports were inconclusive regarding whether discrimination of FRAX or the Garvan calculator without BMD or of FRAX with BMD for MOF or hip fracture differed between white versus black women. This uncertainty was at least partly due to imprecise hip fracture estimates in black women. No reports examined whether ratios of observed to predicted hip fracture risks within each race or ethnicity group varied across levels of predicted hip fracture risk. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR). This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.
Kawasaki Disease, Multisystem Inflammatory Syndrome in Children: Antibody-Induced Mast Cell Activation Hypothesis

Multisystem Inflammatory Syndrome in Children (MIS-C) is appearing in infants, children, and young adults in association with COVID-19 (coronavirus disease 2019) infections of SARS-CoV-2. Kawasaki Disease (KD) is one of the most common vasculitides of childhood. KD presents with similar symptoms to MIS-C especially in severe forms such as Kawasaki Disease Shock Syndrome (KDSS). The observed symptoms for MIS-C and KD are consistent with Mast Cell Activation Syndrome (MCAS) characterized by inflammatory molecules released from activated mast cells. Based on the associations of KD with multiple viral and bacterial pathogens, we put forward the hypothesis that KD and MIS-C result from antibody activation of mast cells by Fc receptorbound pathogen antibodies causing a hyperinflammatory response upon second pathogen exposure. Within this hypothesis, MIS-C may be atypical KD or a KD-like disease associated with SARS-CoV-2. We extend the mast cell hypothesis that increased histamine levels are inducing contraction of effector cells with impeded blood flow through cardiac capillaries. In some patients, pressure from impeded blood flow, within cardiac capillaries, may result in increased coronary artery blood pressure leading to aneurysms, a well-known complication in KD.
Strategic use of SARS-CoV-2 wastewater concentration data could enhance, but not replace, high-resolution community prevalence survey programmes

Wastewater-based epidemiology (WBE) has been proposed as a tool for public health authorities to monitor community transmission of SARS-CoV-2 and other agents. Here, we review the utility of WBE for estimating SARS-CoV-2 prevalence using wastewater data from the Environmental Monitoring for Health Protection (EMHP) programme and prevalence data from the REal-time Assessment of Community Transmission-1 (REACT-1) study in England. Our analysis shows a temporally evolving relationship between wastewater and prevalence which limits the utility of WBE for estimating SARS-CoV-2 prevalence in high spatial resolution without a concurrent prevalence survey. We further characterise WBE for SARS-CoV-2 prevalence as i) vaccination-coverage-dependent and ii) variant-specific. Our work provides a gesopatial framework to map wastewater concentrations to public health boundaries, enabling public health authorities to interpret the relationship between wastewater and prevalence. We demonstrate that WBE can improve the cost efficiency and accuracy of community prevalence surveys which on their own may have incomplete geographic coverage or small sample sizes.