Miracle-dz/UniFAR-FTUs huggingface dataset:
Resolving Cache-Load Imbalance Bottleneck of Stochastic Shared-Cache Networks

This work proposes a two-layered coded caching scheme to resolve the cache-load imbalance bottleneck of the coded caching in a stochastic shared-cache network where the association between users and shared caches is random, i.e., for the scenario where each user can appear within the coverage area of – and subsequently is assisted by – a specific cache-enabled helper node based on a uniform probability distribution. To insightfully capture the effectiveness of our scheme in mitigating the adverse effect of randomness in shared-cache networks, we derive the exact scaling laws of the average delivery time. In the scenario of an error-free broadcast channel of bounded capacity per unit of time where the delivery involves K users and Λ cache-enabled helper nodes, we show that empowering users with an additional layer of caching can significantly mitigate, and in certain memory regimes completely nullify the adverse effects of the cache-load imbalance bottleneck.
Improving BiDAF: Character Embedding, Self-Attention, and Answer Pointer

Question answering (QA) is one of the most important challenges in machine comprehension as an increasingly diverse array of natural language processing tasks are being framed as QA problems. This work explores several different strategies for enhancing the performance of the popular Bi-Directional Attention Flow (BiDAF) QA model. Adding a character embedding layer to better extract word meaning and a self-attention layer to capture structures within the context passage successfully led to an improved BiDAF model. In contrast, an Answer Pointer output layer, designed to produce end point predictions conditioned upon start point predictions, did not offer performance benefits. The final model (with hyperparameter tuning) achieved 67.40 F1/64.36 EM on the dev set and 65.84 F1/62.30 EM on the test set.
Shelf life extension and food waste reduction

Waste is a significant problem in food supply chains. There is potential for spoilage of food products at any stage of the supply chain when the products reach their “best before” or “salable date”. As a key to the food waste problem, there is a trend towards developing shelf life extension solutions that are intended to allow products not only to last longer but also to improve their quality and nutritional benefits. The objective of this study is to explore whether shelf life extension actually results in the expected reductions of food waste. This issue is motivated by potential problems related to complexity in supply chains and consumer behavior. The study is based on a comprehensive literature review and empirical findings from several studies of the structure and functioning of food supply chains undertaken by a food research institute. This work concluded that the relation between shelf life extension and food waste reduction does not appear to be straightforward. Complex consumption behavior (e.g. shopping in larger volume results in longer storage periods at households), in combination with long supply chains and several storage points, implies that shelf life extension may not guarantee consumption before products have reached the “best before date”. Another important factor is the increasing demand for so-called “fresh products”, which may lead to the perception that products with longer shelf life are considered less fresh. This study has shown the need to more closely investigate the effects of various measures (such as shelf life extension) that are applied to reduce food waste. To that end, it would be beneficial to develop a method to investigate and monitor the effectiveness of proposed shelf life extension solutions for the purpose of food waste reduction with a holistic system perspective. This would also help policymakers in their decision-making process as well as solution providers to improve the effectiveness of such solutions. With this perspective in place, the effectiveness of such solutions could be improved. This would also help policymakers in their decision-making process.
Electronic Article Surveillance: management learning in curbing theft

Electronic article surveillance (EAS) colloquially known as 'tagging' involves the use of a relatively simple group of radio frequency technologies by retailers to prevent merchandise from being stolen from shops. The use of EAS is growing rapidly in the UK, especially amongst department stores and shops selling clothing, do-it-yourself (DIY) products, and recorded music, although a 1991 EAS survey showed that lise of EAS in British clothing and department stores lagged behind that of comparable retailers in France and northern Europe (Bamfield, 1992). Thirty per cent of respondents to the National Survey of Retail Theft and Security (Bamfield, 1994) claimed to use EAS systems in their stores. Although EAS is relatively expensive, it has been taken up quickly by smaller retailers, particularly in clothing and fashion stores. This is very different from the spread of electronic point of sale devices (EPoS) which were first used by large companies and later trickled down to smaller ones (Jones, 1992).
Why people listen: Motivations and outcomes of podcast listening

The aim of this preregistered study was to identify dispositional predictors of podcast listening and examine the associations between aspects of podcast listening, dispositional predictors, and psychological outcomes. Three hundred and six adults from a range of countries completed an online questionnaire that assessed individual difference predictors (the Big Five personality factors, curiosity, need for cognition, need to belong, age, and gender), aspects of podcast listening (amount, format, setting, device, and social aspects), and potential outcomes (autonomy, competence, relatedness, meaning, mindfulness, and smartphone addiction). As predicted, openness to experience, interest-based curiosity, and need for cognition positively predicted podcast listening. Contrary to predictions, need to belong negatively predicted podcast listening, and time spent listening to podcasts was not associated with autonomy, competence, relatedness, meaning, mindfulness, or smartphone addiction. However, certain aspects of podcast listening (e.g., parasocial relationships and social engagement) were related to positive outcomes and to our predictor variables. Furthermore, neuroticism negatively predicted podcast listening. Overall, the findings support the idea that informational motives can play a role in podcast listening, and that some aspects of listening are associated with positive outcomes.
Yield of Ultrasound Guided Fine-Needle Aspiration of Intraabdominal Masses and Lymph Nodes: A Prospective Cross-Sectional Study

Background Ultrasonography (USG) guided fine needle aspiration cytology (FNAC) is a safe, rapid and accurate procedure for establishing diagnosis of intraabdominal lesions. The aim of this study is to assess the efficacy, and factors affecting the yield of USG guided FNAC. In addition, we intent to analyze the various intraabdominal masses based on location and cytological features. Methods A prospective cross-sectional study was conducted in the department of radiology, between September 2019 – September 2020. Patients' preparation and USG guided FNAC procedures were performed according to the departments protocol. Chi-square test was used to assess the significance of association between independent and dependent variables. Results Seventy-four USG guided FNAC were performed. The liver was aspirated in 34 (45.9%) followed by omentum, nine (12.2%), abdominal lymph nodes in seven (9.5%) and ovaries in four (5.4%) of the cases. The sample was diagnostically adequate in 56 (75.7%). Malignancy was diagnosed in 52 (70.3%) followed by inflammatory 3(4.1%) and one (1.4%) case of indeterminate spindle cell neoplasm (1.4%). There were no statistically significant associations between the diagnostic yield and location of the lesion, the size of the lesion, the sampling technique, the number of needle passes and qualification of the operators. Conclusion USG guided FNAC provides a good diagnostic yield and there is no difference in diagnostic yield between the various location of the lesions, sampling techniques, number of needle passes and qualification of the operators. A larger size study is recommended to better analyze factors affecting the diagnostic yield of this procedure.
The epidemiology of multimorbidity in France: Variations by gender, age and socioeconomic factors, and implications for surveillance and prevention

Background Robust public health and health system response to the increasing burden of multimorbidity worldwide requires detailed epidemiological examination of its key sociodemographic and geographic determinants. We investigated the role of gender, age and socioeconomic and geographic factors on multimorbidity (i.e., having two or more conditions) in the adult population in France and examined implications for surveillance and prevention. Methods We used data from two large nationwide representative surveys with cross-sectional and longitudinal health and socio-demographic indicators, conducted in France between 2008 and 2014. Morbidity counts and frequent dyads/triads of conditions independently impacting mortality, activity limitations, and perceived health were investigated with regard to differences in gender, age, socioeconomic (education, occupation and income) and geography (size of the urban unit and region). Results The component conditions of multimorbidity varied with gender and age. Women experienced multimorbidity 23–31% more frequently and at a younger age (5–15 years earlier) than men. Multimorbidity increased with age while its associations with most health indicators weakened with it. Multimorbidity was strongly and independently associated with socioeconomic indicators, with a strong inverse dose-response relationship with education, but less consistently with geographic factors. Conclusions Multimorbidity has diverse and variable components and impacts across gender and age. It is strongly associated with socioeconomic factors, notably educational level, for which causality appears likely. Consideration of this diversity and variability, its common occurrence in dyads and triads, and its impact on health outcomes according to age and gender may contribute to efficient surveillance and support the identification of prevention strategies targeting middle-aged men and women.
A novel smartphone-based activity recognition modeling method for tracked equipment in forest operations

Activity recognition modelling using smartphone Inertial Measurement Units (IMUs) is an underutilized resource defining and assessing work efficiency for a wide range of natural resource management tasks. This study focused on the initial development and validation of a smartphone-based activity recognition system for excavator-based mastication equipment working in Ponderosa pine (Pinus ponderosa) plantations in North Idaho, USA. During mastication treatments, sensor data from smartphone gyroscopes, accelerometers, and sound pressure meters (decibel meters) were collected at three sampling frequencies (10, 20, and 50 hertz (Hz)). These data were then separated into 9 time domain features using 4 sliding window widths (1, 5, 7.5 and 10 seconds) and two levels of window overlap (50% and 90%). Random forest machine learning algorithms were trained and evaluated for 40 combinations of model parameters to determine the best combination of parameters. 5 work elements (masticate, clear, move, travel, and delay) were classified with the performance metrics for individual elements of the best model (50 Hz, 10 second window, 90% window overlap) falling within the following ranges: area under the curve (AUC) (95.0% - 99.9%); sensitivity (74.9% - 95.6%); specificity (90.8% - 99.9%); precision (81.1% - 98.3%); F1-score (81.9% - 96.9%); balanced accuracy (87.4% - 97.7%). Smartphone sensors effectively characterized individual work elements of mechanical fuel treatments. This study is the first example of developing a smartphone-based activity recognition model for ground-based forest equipment. The continued development and dissemination of smartphone-based activity recognition models may assist land managers and operators with ubiquitous, manufacturer-independent systems for continuous and automated time study and production analysis for mechanized forest operations.
Prevalence and Impact of Preexisting Comorbidities on Overall Clinical Outcomes of Hospitalized COVID-19 Patients

COVID-19 risk increases with comorbidities, and the effect is magnified due to the contribution of individual and combined comorbidities to the overall clinical outcomes. We aimed to explore the influence of demographic factors, clinical manifestations, and underlying comorbidities on mortality, severity, and hospital stay in COVID-19 patients. Therefore, retrospective chart reviews were performed to identify all laboratory-confirmed cases of SARS-CoV-2 infection in Apollo Hospitals, Hyderabad, between March 2020 and August 2020.A total of 369 confirmed SARS-CoV-2 cases were identified: 272 (73.7%) patients were male, and 97 (26.2%) were female. Of the confirmed cases, 218 (59.1%) had comorbidities, and 151 (40.9%) were devoid of comorbidities. This study showed that old age and underlying comorbidities significantly increase mortality, hospital stay, and severity due to COVID-19 infection. The presence of all four comorbidities, diabetes mellitus (DM) + Hypertension (HTN) + coronary artery disease (CAD) + chronic kidney disease (CKD), conferred the most severity (81%). The highest mortality (OR: 44.03, 95% CI: 8.64-224.27) was observed during the hospital stay (12.73 ± 11.38; 95% CI: 5.08-20.38) in the above group. Multivariate analysis revealed that nonsurvivors are highest (81%) in (DM + HTN + CAD + CKD) category with an odds ratio (95% CI) of 44.03 (8.64-224.27). Age, gender, and comorbidities adjusted odds ratio decreased to 20.25 (3.77-108.77). Median survival of 7 days was observed in the (DM + HTN + CAD + CKD) category. In summary, the presence of underlying comorbidities has contributed to a higher mortality rate, greater risk of severe disease, and extended hospitalization periods, hence, resulting in overall poorer clinical outcomes in hospitalized COVID-19 patients.
Sex classification using the human sacrum: Geometric morphometrics versus conventional approaches

The human pelvis shows marked sexual dimorphism that stems from the conflicting selective pressures of bipedal locomotion and parturition. The sacrum is thought to reflect this dimorphism as it makes up a significant portion of the pelvic girdle. However, reported sexual classification accuracies vary considerably depending on the method and reference sample (54%-98%). We aim to explore this inconsistency by quantifying sexual dimorphism and sex classification accuracies in a geographically heterogeneous sample by comparing 3D geometric morphometrics with the more commonly employed linear metric and qualitative assessments. Our sample included 164 modern humans from Africa, Europe, Asia, and America. The geometric morphometric analysis was based on 44 landmarks and 56 semilandmarks. Linear dimensions included sacral width, corpus depth and width, and the corresponding indices. The qualitative inspection relied on traditional macroscopic features such as proportions between the corpus of the first sacral vertebrae and the alae, and sagittal and coronal curvature of the sacrum. Classification accuracy was determined using linear discriminant function analysis for the entire sample and for the largest subsamples (i.e., Europeans and Africans). Male and female sacral shapes extensively overlapped in the geometric morphometric investigation, leading to a classification accuracy of 72%. Anteroposterior corpus depth was the most powerful discriminating linear parameter (83%), followed by the corpus-area index (78%). Qualitative inspection yielded lower accuracies (64–76%). Classification accuracy was higher for the Central European subsample and diminished with increasing geographical heterogeneity of the subgroups. Although the sacrum forms an integral part of the birth canal, our results suggest that its sex-related variation is surprisingly low. Morphological variation thus seems to be driven also by other factors, including body size, and sacrum shape is therefore likely under stronger biomechanical rather than obstetric selection.
What should be tested in patients with suspected mold exposure? Usefulness of serological markers for the diagnosis

The associations of mold exposure, IgE-mediated sensitization, inflammatory markers, and respiratory symptoms were analyzed in 46 exposed and 23 non-exposed individuals. Both exposure and clinical symptoms were assessed by questionnaire. Specific (s)IgE to mold mixture (mx1) was significantly higher and found more frequently in exposed (41%) than non-exposed individuals (17%), which was not observed for sIgG to mold mix (Gmx6). Notably, exposed asthmatics were more frequently sensitized to molds (55%) compared to exposed non-asthmatics (18%). In addition, the serum concentrations of club cell protein (CC16) were significantly lower in exposed subjects, especially in asthmatics. Positive associations were observed among mold sensitization, asthma, and mold exposure, but not in subjects with predominantly environmental sensitizations without mold sensitization. Thus, sIgE to mx1 but not sIgG to Gmx6 is a useful diagnostic marker to verify mold-associated respiratory symptoms.
A novel CD4 knockout mouse strain with a spontaneous frameshift mutation in the CD4 locus

T cells express co-receptors CD4 and CD8, which are involved in the recognition of antigen presented to T cell receptors. The expression of CD4 in thymic hematopoietic cells is crucial for the thymic development and selection of T cells. In this study, we identified a novel CD4 mutant allele that emerged spontaneously in our mouse colony. The frameshift mutation led to a truncated CD4 protein which failed to reach the plasma membrane resulting in impaired development of CD4+ helper T cells. The CRISPR mediated correction of mutant allele restored the membrane CD4 expression. Further, using an adoptive transfer of T cells, we show that this model is an ideal recipient mouse for the study of CD4+ T cells.
Comparison of Intravenous Ketamine with Intrathecal Meperidine in Prevention of Post-anesthetic Shivering after Spinal Anesthesia for Lower Limb Orthopedic Surgeries: A Double-blind Randomized Clinical Trial

Background Post-anesthetic shivering is one of the most common complications after anesthesia. Ketamine has been considered to be an effective treatment for post-anesthetic shivering, but the evidence for its therapeutic benefit after spinal anesthesia is limited. The aim of this study was to compare the effects of intravenous ketamine with intrathecal meperidine in the prevention of post-anesthetic shivering after spinal anesthesia for lower limb orthopedic surgeries. Methods In a double-blind randomized parallel-group clinical trial, a total of 150 patients scheduled for lower limb orthopedic surgeries under spinal anesthesia were selected and randomly divided into three equally sized groups of intravenous ketamine (0.5 mg/kg), intrathecal meperidine (0.2mg/kg) or intravenous normal saline (as placebo). The intensity of shivering in patients were evaluated during surgery and after transfer into the post anesthesia care unit. Also, changes in patients' drowsiness, nausea, vomiting, pruritus, mean arterial pressure, heart rate, and arterial oxygen saturation (SPO2) during surgery and until the end of anesthesia were evaluated. Results In all times of evaluation (20, 60, 80, 100 and 120 minutes after onset of spinal anesthesia) patients in control group showed a greater intensity of shivering compared to other groups. However, patients who received intrathecal meperidine experienced significantly lower intensity of post anesthetic shivering (p<0.05). The results showed a significant mean arterial pressure and heart rates differences between the three groups, only on 20 and 60 minutes after initiation of spinal anesthesia. The incidence of nausea, vomiting, and pruritus was not significantly different in all three groups, although all patients who received ketamine experienced drowsiness after surgery (p<0.001). Conclusion The results of the present study showed that, although both intrathecal meperidine and intravenous ketamine could effectively prevent postoperative shivering after spinal anesthesia in lower limb orthopedic surgeries, intrathecal meperidine was associated with more efficacy benefits and a lower frequency of side effects such as post-anesthesia drowsiness.
Longitudinal shear wave elasticity measurements of millimeter-sized biomaterials using a single-element transducer platform

Temporal variations of the extracellular matrix (ECM) stiffness profoundly impact cellular behaviors, possibly more significantly than the influence of static stiffness. Three-dimensional (3D) cell cultures with tunable matrix stiffness have been utilized to characterize the mechanobiological interactions of elasticity-mediated cellular behaviors. Conventional studies usually perform static interrogations of elasticity at micro-scale resolution. While such studies are essential for investigations of cellular mechanotransduction, few tools are available for depicting the temporal dynamics of the stiffness of the cellular environment, especially for optically turbid millimeter-sized biomaterials. We present a single-element transducer shear wave (SW) elasticity imaging system that is applied to a millimeter-sized, ECM-based cell-laden hydrogel. The single-element ultrasound transducer is used both to generate SWs and to detect their arrival times after being reflected from the side boundaries of the sample. The sample’s shear wave speed (SWS) is calculated by applying a time-of-flight algorithm to the reflected SWs. We use this noninvasive and technically straightforward approach to demonstrate that exposing 3D cancer cell cultures to X-ray irradiation induces a temporal change in the SWS. The proposed platform is appropriate for investigating in vitro how a group of cells remodels their surrounding matrix and how changes to their mechanical properties could affect the embedded cells in optically turbid millimeter-sized biomaterials.
A comparative assessment of two different front-of-package nutrition label designs: A randomized experiment in Brazil

This study compares the effectiveness of different front-of-package label designs in a Brazilian sample (n = 1384). Eligible adults were randomized to one of two study arms and viewed images of snacks with either a triangular warning label (TL) or a rectangular ‘high in’ label with a magnifying glass (ML). They responded to a series of questions that captured label usefulness, understanding, and purchase intentions. Compared to participants in the ML arm, those in the TL arm agreed that the TL communicated important information [Mean (SD) - 5.47 (0.07) vs 4.49 (0.08), p-value <0.001], was a useful tool [Mean (SD) - 6.12 (0.06) vs 5.75 (0.07), p-value <0.001], and was easier to understand as measured subjectively [Mean (SD) - 4.96 (0.07) vs 4.44 (0.08), p-value <0.001]. However, both the TL and the ML performed similarly in communicating nutrient information as measured by the objective understanding of nutrient content [57.09% vs 54.65%, p-value 0.259]. The ML performed marginally better at improving purchase intentions [Mean (SD) - 2.57 (0.07) vs 2.79 (0.08), p-value <0.049]. The current study adds to the growing evidence base on the pathways through which FoP labels, particularly ‘high in’ labels, might influence consumer perceptions and behavior. It is also one of the first studies to provide evidence on the utility of the ML design for Brazil.