Miracle-dz/UniFAR-FTUs huggingface dataset:
Moral and Affective Film Set (MAAFS): A normed moral video database

Moral psychology has relied nearly exclusively on text stimuli in the development and testing of theories. However, text stimuli lack the rich variety of morally-relevant social and contextual cues available in everyday interactions. A consequence of this pervasive ecological invalidity may be that moral psychological theories are mischaracterized by an overreliance on cue-impoverished moral stimuli. We address this limitation by developing a cue-rich Moral and Affective Film Set (MAAFS). We crowd-sourced videos of moral behaviours, using previously validated text stimuli and definitions of moral foundations as a guide for content. Crowd-sourced clips were rated by 322 American and 253 Australian participants on a range of moral and affective dimensions, including wrongness, moral foundation relevance, punishment, arousal, discrete emotion-relevance, clarity, previous exposure, and how weird/uncommon the moral acts were. The final stimulus set contained sixty nine moral videos. Ratings confirmed that the videos are reliably rated as morally wrong and feature a variety of moral concerns. The validation process revealed features that make the MAAFS useful for future research: (1) the MAAFS includes a range of videos that depict everyday transgressions, (2) certain videos evoke negative emotions at an intensity comparable to mood induction films, (3) the videos are largely novel: participants had never seen more than 90% of the videos. We anticipate the MAAFS will be a particularly valuable tool for researchers in moral psychology who seek to study morality in scenarios that approximate real-life. However, the MAAFS may be valuable for other fields of psychology, for example, affective scientists may use these videos as a mood induction procedure. The complete stimulus set, links to videos, and normative statistics can be accessed at osf.io/8w3en.
Printing High-Performance Tungsten Oxide Thin Film Ultraviolet Photodetectors on ZnO Quantum Dot Textured SiO2 Surface

A zinc oxide quantum dot (ZnO QD) texturing layer was printed on a SiO<sub>2</sub> surface to resolve the issue of ink drop aggregation during inkjet printing tungsten oxide precursor (WO<sub>3</sub>Pr) ink, made from ultrasonicating ammonium metatungstate [(NH<sub>3</sub>)<sub>6</sub>H<sub>2</sub>W<sub>12</sub>O<sub>40</sub>]in a mixture of Dimethylformamide and water, for high-performance ultraviolet (UV) WO<sub>3</sub> photoconductors. It was found that the ZnO QD textured surface offers a pinning effect of the WO<sub>3</sub>Pr ink and hence prevents the ink from aggregating and coagulating into large droplets, which prohibits formation of uniform WO<sub>3</sub>Pr films on hydrophobic SiO<sub>2</sub>/Si or glass substrates. With the ZnO QD texturing layer, a uniform WO<sub>3</sub> film can be obtained when printing WO<sub>3</sub>Pr at room-temperature (22 °C), which reduced cracks and eliminated the coffee ring effect that arises when printing at elevated temperature such as 50 °C. High crystallinity was confirmed on the printed WO<sub>3</sub> films, which leads to UV photoresponsivity up to 16.6 mA/W, which is comparable with the best reported on printed WO<sub>3</sub> UV detectors without a ZnO QD texturing layer. This result shows surface texturing using a pre-printed QD layer provides a facile and compatible approach in controlling inkjet printing for high-quality oxide films directly from precursor solutions.
Modeling and Analysis of Large-Signal RFI Effects in MOS Transistors

The ability of radio-frequency (RF) interference signals to upset or disrupt electronic equipment is a matter of concern, and identification of the physical mechanisms leading to device malfunction is of prime importance. This paper presents experimental and theoretical results and analyzes the effects of a large-signal microwave excitation up to 2 GHz on several commercial small-signal MOS transistors. For frequencies beyond the maximum operating frequency, experimental results show RF signal rectification in the devices, and these results are confirmed by SPICE simulations using extracted models for the transistors, including package and test circuit parasitics, with excellent agreement with experiments. Analysis of internal transistors currents and voltages finally leads to the conclusion that the observed rectification effect is not due to active nonlinearities of the devices, but rather due to the nonlinear overlap and parasitic drain–bulk diode capacitances of the MOS transistors. In particular, the role of the nonlinear voltage dependence of the junction capacitance is highlighted. Finally, a simplified model is proposed to reproduce this behavior.
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks

Much effort has been devoted to evaluate whether multi-task learning can be leveraged to learn rich representations that can be used in various Natural Language Processing (NLP) down-stream applications. However, there is still a lack of understanding of the settings in which multi-task learning has a significant effect. In this work, we introduce a hierarchical model trained in a multi-task learning setup on a set of carefully selected semantic tasks. The model is trained in a hierarchical fashion to introduce an inductive bias by supervising a set of low level tasks at the bottom layers of the model and more complex tasks at the top layers of the model. This model achieves state-of-the-art results on a number of tasks, namely Named Entity Recognition, Entity Mention Detection and Relation Extraction without hand-engineered features or external NLP tools like syntactic parsers. The hierarchical training supervision induces a set of shared semantic representations at lower layers of the model. We show that as we move from the bottom to the top layers of the model, the hidden states of the layers tend to represent more complex semantic information.
Focal Adhesion Genes Refine the Intermediate-Risk Cytogenetic Classification of Acute Myeloid Leukemia

In recent years, several attempts have been made to identify novel prognostic markers in patients with intermediate-risk acute myeloid leukemia (IR-AML), to implement risk-adapted strategies. The non-receptor tyrosine kinases are proteins involved in regulation of cell growth, adhesion, migration and apoptosis. They associate with metastatic dissemination in solid tumors and poor prognosis. However, their role in haematological malignancies has been scarcely studied. We hypothesized that PTK2/FAK, PTK2B/PYK2, LYN or SRC could be new prognostic markers in IR-AML. We assessed PTK2, PTK2B, LYN and SRC gene expression in a cohort of 324 patients, adults up to the age of 70, classified in the IR-AML cytogenetic group. Univariate and multivariate analyses showed that PTK2B, LYN and PTK2 gene expression are independent prognostic factors in IR-AML patients. PTK2B and LYN identify a patient subgroup with good prognosis within the cohort with non-favorable FLT3/NPM1 combined mutations. In contrast, PTK2 identifies a patient subgroup with poor prognosis within the worst prognosis cohort who display non-favorable FLT3/NPM1 combined mutations and underexpression of PTK2B or LYN. The combined use of these markers can refine the highly heterogeneous intermediate-risk subgroup of AML patients, and allow the development of risk-adapted post-remission chemotherapy protocols to improve their response to treatment.
Microendoscopic discectomy for lumbar disc herniations

Introduction: Lumbar disc herniation is one of the main causes of discogenic low back pain and reported to affect 60%–80% of people during their lifetime. The two main surgical modalities for intervertebral disc surgery are standard open discectomy and minimally invasive discectomy which include percutaneous endoscopic lumbar discectomy and microendoscopic discectomy (MED). We report our experience with the same technique of MED to evaluate the efficacy of MED for lumbar disc pathology. Aims and Objectives: The aims and objectives were to study the efficacy, advantages, and associated limitations and complications of MED in lumbar disc herniations. Materials and Methods: This study was carried out on 300 patients who had single-level herniated disc. The procedure was done by Microscopic Endoscopic Tubular Retraction System. Preoperative assessment of Visual Analog Scale (VAS) and modified Suezawa and Schreiber (MSS) clinical scoring system was documented 1 day prior to surgery. Postoperative results were determined to be excellent, good, fair, or poor according to MacNab criteria and also evaluated by MSS clinical scoring system on postoperative day 7 and after 6 months. Results: A total of 187 patients were males and 113 patients were females and a majority of patients were in the age group of 31–40 years. A total of 192 patients had disc herniations at L4–L5 level. The mean operative time was 82 min and the mean hospital stay was 5.3 days. Eighteen cases (6%) developed postoperative complications including discitis, dysesthesia, recurrent prolapsed intervertebral disc, residual disc, dural tear, and nerve root injury. Mean preoperative VAS score was 8.7 and the mean postoperative VAS scores at postoperative day 7 and at 6 months were 2.25 and 1.12, respectively. The mean preoperative MSS score was 3.27 and the MSS scores at postoperative day 7 and at 6 months were 7.42 and 8.2, respectively. The overall successful outcome of the endoscopic discectomy after 6-month follow-up on the basis of VAS improvement percentage was 87.6%, MSS scoring percentage was 91.6%, and MacNab scoring percentage was 92.67%. Conclusion: MED is a safe and effective technique. It offers decreased blood loss, shorter operative time, shorter in-hospital stay, decreased need for pain medication, decreased rate of infection, and a shorter return to work time. Limitations of this technique include a learning curve which is related to surgery time, complications, conversion to open procedures, and recurrent disc herniation.
More Is More: Semiannual Breast MRI Screening in BRCA1 Mutation Carriers

Although annual MRI screening has improved early diagnosis of hereditary breast cancer, fast growth rates of BRCA1-associated cancers can still lead to interval cancers and/or node-positive disease. Using MRI with shorter screening intervals helps to effectively avoid both interval cancers and node-positive stages, whereas there is no role for mammography in these women. See related article by Guindalini et al., p. 1786
Factors in healthcare violence in care of pregnancy termination cases: A case study

Background Workplace violence is a widely-reported phenomenon among healthcare providers and negatively affects quality of care and treatment. This study aims to understand the potential factors related to HCV through the experiences of women who have undergone a pregnancy termination due to fetal anomaly. Methods Qualitative interview was used to collect data in this case study. Forty-one pregnant women who decided to terminate their pregnancy due to fetal anomaly were recruited from four Chinese hospital facilities, including three general hospitals and one specialty hospital in Changsha, Hunan, China. In-depth interviews were conducted from May to September 2017. Content analysis was used to analyze the data. Results Several potential factors related to violence in healthcare facilities were identified, including preventive factors, which possibly relieve healthcare violence; and negative experiences, which potentially related to healthcare violence. Preventive factors include healthcare providers gaining patient trust with detailed observation, expressing patient-centered care through discreet behavior, and showing patience and professionalism. Factors related to violence include busy work schedules, hurried visits, mechanized process, patients’ scant medical knowledge and mental distress. Conclusions This study highlights potential factors related to healthcare violence. The results will be submitted to the Chinese government’s policy making department in order to improve the healthcare system. We also suggest several important strategies to prevent HCV in a healthcare setting, both in China and globally.
Effects of Probiotic Supplementation on the Gut Microbiota and Antibiotic Resistome Development in Preterm Infants

Objectives: In 2014 probiotic supplementation (Lactobacillus acidophilus and Bifidobacterium longum subspecies infantis; InfloranⓇ) was introduced as standard of care to prevent necrotizing enterocolitis (NEC) in extremely preterm infants in Norway. We aimed to evaluate the influence of probiotics and antibiotic therapy on the developing gut microbiota and antibiotic resistome in extremely preterm infants, and to compare with very preterm infants and term infants not given probiotics. Study design: A prospective, observational multicenter study in six tertiary-care neonatal units. We enrolled 76 infants; 31 probiotic-supplemented extremely preterm infants <28 weeks gestation, 35 very preterm infants 28–31 weeks gestation not given probiotics and 10 healthy full-term control infants. Taxonomic composition and collection of antibiotic resistance genes (resistome) in fecal samples, collected at 7 and 28 days and 4 months age, were analyzed using shotgun-metagenome sequencing. Results: Median (IQR) birth weight was 835 (680–945) g and 1,290 (1,150–1,445) g in preterm infants exposed and not exposed to probiotics, respectively. Two extremely preterm infants receiving probiotic developed NEC requiring surgery. At 7 days of age we found higher median relative abundance of Bifidobacterium in probiotic supplemented infants (64.7%) compared to non-supplemented preterm infants (0.0%) and term control infants (43.9%). Lactobacillus was only detected in small amounts in all groups, but the relative abundance increased up to 4 months. Extremely preterm infants receiving probiotics had also much higher antibiotic exposure, still overall microbial diversity and resistome was not different than in more mature infants at 4 weeks and 4 months. Conclusion: Probiotic supplementation may induce colonization resistance and alleviate harmful effects of antibiotics on the gut microbiota and antibiotic resistome. Clinical Trial Registration: Clinicaltrials.gov: NCT02197468. https://clinicaltrials.gov/ct2/show/NCT02197468
Current and emerging drug therapies for the treatment of depression in adults with epilepsy

ABSTRACT Introduction: Depression is the most frequent psychiatric comorbidity among people with epilepsy. It can impact on quality of life and increases the risk of morbidity and premature mortality. Areas covered: The authors review the available data on current and emerging drug treatments for depression in epilepsy. Sources have been identified through Medline/PubMed searches while ongoing clinical trials have been identified through a ClinicalTrials.gov search. Expert opinion: SSRIs are the drug class with the largest amount of data. Though promising, the level of evidence provided by these studies is still low as the majority have relevant methodological limitations. Antiepileptic drugs under development have the unique opportunity to be of multi-use in the treatment of epilepsy and depression. The serotoninergic system has already been identified as a potential area of interest, but new targets are still needed in epilepsy and depression. For this reason, it is important that basic scientists working on these two conditions develop collaborative projects and integrate findings.
Fundamental Limits of Caching in Heterogeneous Networks with Uncoded Prefetching

The work explores the fundamental limits of coded caching in heterogeneous networks where multiple ($N_0$) senders/antennas, serve different users which are associated (linked) to shared caches, where each such cache helps an arbitrary number of users. Under the assumption of uncoded cache placement, the work derives the exact optimal worst-case delay and DoF, for a broad range of user-to-cache association profiles where each such profile describes how many users are helped by each cache. This is achieved by presenting an information-theoretic converse based on index coding that succinctly captures the impact of the user-to-cache association, as well as by presenting a coded caching scheme that optimally adapts to the association profile by exploiting the benefits of encoding across users that share the same cache. The work reveals a powerful interplay between shared caches and multiple senders/antennas, where we can now draw the striking conclusion that, as long as each cache serves at least $N_0$ users, adding a single degree of cache-redundancy can yield a DoF increase equal to $N_0$, while at the same time --- irrespective of the profile --- going from 1 to $N_0$ antennas reduces the delivery time by a factor of $N_0$. Finally some conclusions are also drawn for the related problem of coded caching with multiple file requests.
Golay Complementary Sequence Sets With Large Zero Correlation Zones

Zero correlation zone (ZCZ) sequence sets and Golay complementary sets (GCSs) have different correlation properties and hence have different engineering applications. A number of constructions of ZCZ sequence sets and GCSs have been proposed, respectively, in the literature. In addition, some ZCZ sequence sets can be constructed from mutually orthogonal GCSs. In this paper, the relationship between GCSs and ZCZ sets is discovered further. We propose a new type of sequence sets which are ZCZ sequence sets and also GCSs. They are called the Golay-ZCZ sequence sets in this paper. Therefore, they have low peak-to-average power ratios when employed in OFDM systems due to the good autocorrelation properties of GCSs. Besides, the Golay-ZCZ sets possess zero autocorrelations and cross-correlations within their ZCZ and hence have the potential application to synchronization. Furthermore, a construction of Golay-ZCZ sequence family with flexible set sizes, various sequence lengths, and large ZCZ widths is proposed in this paper.
Impact of Beneficial Microorganisms on Strawberry Growth, Fruit Production, Nutritional Quality, and Volatilome

Arbuscular mycorrhizal fungi (AMF) colonize the roots of most terrestrial plant species, improving plant growth, nutrient uptake and biotic/abiotic stress resistance and tolerance. Similarly, plant growth promoting bacteria (PGPB) enhance plant fitness and production. In this study, three different AMF (Funneliformis mosseae, Septoglomus viscosum, and Rhizophagus irregularis) were used in combination with three different strains of Pseudomonas sp. (19Fv1t, 5Vm1K and Pf4) to inoculate plantlets of Fragaria × ananassa var. Eliana F1. The effects of the different fungus/bacterium combinations were assessed on plant growth parameters, fruit production and quality, including health-promoting compounds. Inoculated and uninoculated plants were maintained in a greenhouse for 4 months and irrigated with a nutrient solution at two different phosphate levels. The number of flowers and fruits were recorded weekly. At harvest, fresh and dry weights of roots and shoots, mycorrhizal colonization and concentration of leaf photosynthetic pigments were measured in each plant. The following fruit parameters were recorded: pH, titratable acids, concentration of organic acids, soluble sugars, ascorbic acids, and anthocyanidins; volatile and elemental composition were also evaluated. Data were statistically analyzed by ANOVA and PCA/PCA-DA. Mycorrhizal colonization was higher in plants inoculated with R. irregularis, followed by F. mosseae and S. viscosum. In general, AMF mostly affected the parameters associated with the vegetative portion of the plant, while PGPB were especially relevant for fruit yield and quality. The plant physiological status was differentially affected by inoculations, resulting in enhanced root and shoot biomass. Inoculation with Pf4 bacterial strain increased flower and fruit production per plant and malic acid content in fruits, while decreased the pH value, regardless of the used fungus. Inoculations affected fruit nutritional quality, increasing sugar and anthocyanin concentrations, and modulated pH, malic acid, volatile compounds and elements. In the present study, we show for the first time that strawberry fruit concentration of some elements and/or volatiles can be affected by the presence of specific beneficial soil microorganisms. In addition, our results indicated that it is possible to select the best plant-microorganism combination for field applications, and improving fruit production and quality, also in terms of health promoting properties.
Efficient Antenna Design for Platform-Mounted HF Antennas Using Characteristic Mode Theory

Many high-frequency (HF) antennas have significantly smaller dimension than the wavelength at which they operate and thus suffer from narrow bandwidth. In many military applications, such HF antennas are mounted on relatively large metallic platforms. In this paper, we examine how a platform mounted antenna can be used to excite the characteristic modes (CM) of the platform itself to increase the overall bandwidth of the system. In this case, the platform will act as the main radiator and the mounted antennas act primarily as the coupling mechanism between the antenna and the external circuit. We use the theory of CM to identify the appropriate platform modes and determine the practical means of exciting them.
Data Mining for the Analysis of Eye Tracking Records

It is proposed the implementation of a methodology for the analysis and classification of large volumes of records. It is studied and evaluated the application of DM as a tool to analysis qualitatively and quantitatively the register obtained by an eye movement tracking device, eye-tracking, when bring under to people with different levels of orthographic knowledge (OK: High, Medium and Low), in the face of two tasks; (i) detection of spelling error and (ii) in the detection of a simple character, in the brief exposure (1500 milliseconds) of words without and with misspelling. It used some analytical procedure series of DM such as: the search for response patterns; the creation of secondary variables; the use of classification of trees and grouping the data (k-means). New models were created as of the distance between the position of the spelling error and the position of the gaze of the participants. Differences in the visual attention were found between the participants; in the same way, it was observed that the misspelling influences the performance of the task (ii), diverting visual attention to spelling error, in the participants with High OK. It is concluded that the DM helps to find the particularities of eye movements from large volumes of data that generates eye-tracking, which cannot be analysed with simple procedures.
Structure-Guided Image Inpainting Using Homography Transformation

In this paper, we present a novel structure-guided framework for exemplar-based image inpainting to maintain the neighborhood consistence and structure coherence of an inpainted region. The proposed method consists of a data term for pixel validity and boundary continuity, a smoothness term to depict the compatibility of neighboring pixels for contextual continuity, and a coherence term to investigate image inherent regularities to ensure image self-similarity. To better reconstruct image structures, the method utilizes image regularity statistics to extract dominant linear structures of the target image. Guided by these structures, homography transformations are estimated and combined to globally repair the missing region using the Markov random field model. To reduce computational complexity, a hierarchical process is implemented to utilize the regularity effectively. The experimental results demonstrate that our method yields better results for various real-world scenes than existing state-of-the-art image inpainting techniques.