Miracle-dz/UniFAR-FTUs huggingface dataset:
Depression in migrant workers and nationals of Qatar: An exploratory cross-cultural study

Background: The aim of this study was to compare the prevalence of depressive symptoms among migrants and non-migrants living in Qatar and identify variables associated with depressive symptomology in these groups, including culture of origin, time living in country and perceived quality of life. In addition, we tested if the latter two variables moderated the effect of culture of origin on depressive symptomology in the migrant groups. Subject and Methods: A telephone survey of a probability-based sample of 2,520 participants was conducted in February 2016. The sample was divided into three groups based on nationality and income: labour migrants (LMs), white-collar migrants (WCMs) and non-migrants or Qatari nationals (QNs). Participants completed the Whooley two-question test for depression. Results: The odds of depression were significantly increased in LMs (OR = 3.31, 95% CI = 2.36–4.65) and WCMs (OR = 1.40, 95% CI = 1.04–1.90) compared with non-migrants. Among LMs, having a problem with current employer in the last 3 months was also associated with depressive symptoms (OR = 2.10, 95% CI = 1.14–3.84). Culture of origin was significantly associated with depressive symptoms including South Asians (OR = 3.12, p < .001), East Asians (OR = 0.52, p = .013) and Westerners (OR = 0.45, p = .044) relative to Arabs. LM status remained strongly associated with depressive symptoms independent of culture of origin (OR = 2.02, p < .001). Conclusion: Perceived quality of life, but not length of stay, appears to be an important variable in explaining differences in symptoms between some cultural groups. Findings from this study highlight the importance of the context of migration and culture of origin as potential determinants of depressive symptomology in the host country.
Predicting Glycemic Index and Glycemic Load from Macronutrients to Accelerate Development of Foods and Beverages with Lower Glucose Responses

Low glycemic index (GI) and/or low glycemic load (GL) are associated with decreased risks of type-2 diabetes and cardiovascular disease. It is therefore relevant to consider GI and GL in the early phases of the development of packaged foods and beverages. This paper proposes a model that predicts GI and GL from macronutrient composition, by quantifying both the impact of glycemic carbohydrates and the GI-lowering effects of nutrients such as proteins, fats and fibers. The precision of the model is illustrated using data on 42 breakfast cereals. The predictions of GI (r = 0.90, median residual = 2.0) and GL (r = 0.96, median residual = 0.40 g) compete well with the precision of the underlying in-vivo data (Standard Error SE = 3.5 for GI). This model can guide product development towards lowering GI and GL, before final confirmation by in vivo testing.
Intention to Treat Laparoscopic Versus Open Hemi-Hepatectomy: A Paired Case-Matched Comparison Study

Background: The benefits of laparoscopic hemi-hepatectomy compared to open hemi-hepatectomy are not clear. Objective: This study aims to share our experience with the laparoscopic hemi-hepatectomy compared to an open approach. Methods: A total of 40 consecutive laparoscopically started hemi-hepatectomy (intention-to-treat analysis) cases between August 2012 and October 2015 were matched against open cases using the following criteria: laterality of surgery and pathology (essential criteria); American Society of Anesthesiologists score, body mass index, pre-operative bilirubin, neo-adjuvant chemotherapy, additional procedures, portal vein embolization, and presence of cirrhosis/fibrosis on histology (secondary criteria); age and gender (tertiary criteria). Hand-assisted and extended hemi-hepatectomy cases were excluded from the study. The two groups were compared for blood loss, operative time, hospital stay, morbidity, mortality, and oncological outcomes. All complications were quantified using the Clavien–Dindo classification. Results: Two groups were well matched (p = 1.00). In the two groups, 10 patients had left and 30 had right hemi-hepatectomy. Overall conversion rate was 15%. Median length of hospital and high dependency unit stay was less in the intention to treat laparoscopic hemi-hepatectomy group: 6 versus 8 days, p = 0.025 and 1 versus 2 days, p = 0.07. Median operative time was longer in the intention to treat laparoscopic hemi-hepatectomy group: 420 min (range: 389.5–480) versus 305 min (range: 238.8–348.8; p = 0.001). Intra-operative blood loss was equivalent, but the overall blood transfusions were higher in the intention to treat laparoscopic hemi-hepatectomy (50 vs 29 units, p = 0.36). The overall morbidity (18 vs 20 patients, p = 0.65), mortality (2.5%), and the positive resection margin status were similar (18% vs 21%, p = 0.76). The 1- (87.5% vs 92.5%, p = 0.71) and 3-year survival (70% vs 72.5%, p = 1.00) was also similar. Conclusions: We observed lower hospital and high dependency unit stay in the laparoscopic group. However, the laparoscopic approach was associated with longer operating time and a non-significant increase in blood transfusion requirements. There was no difference in morbidity, mortality, re-admission rate, and oncological outcomes.
Subtypes of Alzheimer's Disease Display Distinct Network Abnormalities Extending Beyond Their Pattern of Brain Atrophy

Different subtypes of Alzheimer's disease (AD) with characteristic distributions of neurofibrillary tangles and corresponding brain atrophy patterns have been identified using structural magnetic resonance imaging (MRI). However, the underlying biological mechanisms that determine this differential expression of neurofibrillary tangles are still unknown. Here, we applied graph theoretical analysis to structural MRI data to test the hypothesis that differential network disruption is at the basis of the emergence of these AD subtypes. We studied a total of 175 AD patients and 81 controls. Subtyping was done using the Scheltens' scale for medial temporal lobe atrophy, the Koedam's scale for posterior atrophy, and the Pasquier's global cortical atrophy scale for frontal atrophy. A total of 89 AD patients showed a brain atrophy pattern consistent with typical AD; 30 patients showed a limbic-predominant pattern; 29 patients showed a hippocampal-sparing pattern; and 27 showed minimal atrophy. We built brain structural networks from 68 cortical regions and 14 subcortical gray matter structures for each AD subtype and for the controls, and we compared between-group measures of integration, segregation, and modular organization. At the global level, modularity was increased and differential modular reorganization was detected in the four subtypes. We also found a decrease of transitivity in the typical and hippocampal-sparing subtypes, as well as an increase of average local efficiency in the minimal atrophy and hippocampal-sparing subtypes. We conclude that the AD subtypes have a distinct signature of network disruption associated with their atrophy patterns and further extending to other brain regions, presumably reflecting the differential spread of neurofibrillary tangles. We discuss the hypothetical emergence of these subtypes and possible clinical implications.
A Distributed Approach for Collision Avoidance between Multirotor UAVs Following Planned Missions

As the number of potential applications for Unmanned Aerial Vehicles (UAVs) keeps rising steadily, the chances that these devices get close to each other during their flights also increases, causing concerns regarding potential collisions. This paper proposed the Mission Based Collision Avoidance Protocol (MBCAP), a novel UAV collision avoidance protocol applicable to all types of multicopters flying autonomously. It relies on wireless communications in order to detect nearby UAVs, and to negotiate the procedure to avoid any potential collision. Experimental and simulation results demonstrated the validity and effectiveness of the proposed solution, which typically introduces a small overhead in the range of 15 to 42 s for each risky situation successfully handled.
Regulation of Tolerogenic Features on Dexamethasone-Modulated MPLA-Activated Dendritic Cells by MYC

The potential of tolerogenic dendritic cells (tolDCs) to shape immune responses and restore tolerance has turn them into a promising therapeutic tool for cellular therapies directed toward immune regulation in autoimmunity. Although the cellular mechanisms by which these cells can exert their regulatory function are well-known, the mechanisms driving their differentiation and function are still poorly known, and the variety of stimuli and protocols applied to differentiate DCs toward a tolerogenic phenotype makes it even more complex to underpin the molecular features involved in their function. Through transcriptional profiling analysis of monocyte-derived tolDCs modulated with dexamethasone (Dex) and activated with monophosphoryl lipid A (MPLA), known as DM-DCs, we were able to identify MYC as one of the transcriptional regulators of several genes differentially expressed on DM-DCs compared to MPLA-matured DCs (M-DCs) and untreated/immature DCs (DCs) as revealed by Ingenuity Pathway Analysis (IPA) upstream regulators evaluation. Additionally, MYC was also amidst the most upregulated genes in DM-DCs, finding that was confirmed at a transcriptional as well as at a protein level. Blockade of transactivation of MYC target genes led to the downregulation of tolerance-related markers IDO1 and JAG1. MYC blockade also led to downregulation of PLZF and STAT3, transcription factors associated with immune regulation and inhibition of DC maturation, further supporting a role of MYC as an upstream regulator contributing to the regulatory phenotype of DM-DCs. On the other hand, we had previously shown that fatty acid oxidation, oxidative metabolism and zinc homeostasis are amongst the main biological functions represented in DM-DCs, and here we show that DM-DCs exhibit higher intracellular expression of ROS and Zinc compared to mature M-DCs and DCs. Taken together, these findings suggest that the regulatory profile of DM-DCs is partly shaped by the effect of the transcriptional regulation of tolerance-inducing genes by MYC and the modulation of oxidative metabolic processes and signaling mediators such as Zinc and ROS.
Design of Improved Remote Data Transfer Using Concurrent Multipath through Mobile Device

With faster growth of mobile technology and internet more and more technical features are provided through mobile devices which made the ease of day to day activities of the users of mobile devices. Millions of users are making use of mobile devices for making faster communication, sending and receiving of data or information seamlessly from remote places. Today’s mobile devices are having the features of personal computers (pcs) and hence the integration of the devices between mobile and pcs can be monitored and better interaction can be accomplished. Due to the widespread use of wireless technologies convergence of wired and wireless networks made easy to perform tasks on mobile devices. Today’s corporate world is handling most of the work through remote place by controlling the activities over different networks. Administrator of the network will handle all the activities of network through mobile device without his presence in a server room of the network. Research activities are being carried out that allow remote control of devices. An effort is made to explore multipath aggregation problem in order to get solutions which will improve throughput by making effective use of multiple paths of heterogeneous wireless networks concurrently. This work is mainly tested at application layer by forwarding single data transport connection over the multiple paths. The purpose of logical segmentation of a file streaming is made by using multi-homed clients is to be developed at application layer. The new approach uses CMT-SCTP protocol with existing server infrastructure client based manner.
Chinese prosodic phrasing with the source-channel model

The prosodic phrasing is a classic problem in nature language process, which is not only useful for text-to-speech(TTS), but for speech recognition, statistic machine learning etc. This paper introduces and discusses the source-channel model for Chinese prosodic phrasing. Based on the basic idea, the Hidden Markov Model (HMM) and the improved source-channel model are both used to describe the phrasing problem. In the improved source-channel model, maximum entropy model is used, and the discriminative training is introduced. And the rhythm model is proposed to describe the property of the utterance. The phrase-length model and the foot-pattern model both are used to describe the rhythm model, respectively. The experiments show that this approach achieved a good performance for prosodic phrasing. The improved source-channel model achieve a better performance than the Hidden Markov Model. And the foot-pattern model is the better one as a rhythm model.
Biogas‐producing microbial composition of an anaerobic digester and associated bovine residues

Influenced by feedstock type and microbial inoculum, different microbial groups must precisely interact for high‐quality biogas yields. As a first approach for optimization, this study aimed to identify through time the biogas‐producing microbial community in a 10‐ton dry anaerobic digester treating cattle manure by denaturing gradient gel electrophoresis (DGGE) and metagenomics. Moreover, the associated bovine residues or feedstocks (leachate, manure, oxidation lagoon water, rumen) were also characterized to determine their contribution. A diverse and dynamic community characterized by Bacteria (82%–88%) and a considerable amount of Archaea (8%–15%) presented profiles particular to each stage of biogas production. Eukaryotes (2.6%–3.6%), mainly fungi, were a minor but stable component. Proteobacteria represented 47% of the community at the start of the run but only 18% at the end, opposite to the Bacteroidetes/Chlorobi group (8% and 20%, respectively), while Firmicutes (12%–18%) and Actinobacteria (12%–32%) remained relatively constant. Methanogens of the order Methanomicrobiales represented by several species of Methanoculleus were abundant at the end of the run (77%) contrary to Methanosarcinales (11%) and Methanobacteriales (0.7%). Therefore, methanogenesis mainly occurred by the hydrogenotrophic pathway. Manure and oxidation lagoon water seemed to contribute key microorganisms, while rumen dominated by Methanobrevibacter (72%) did not proliferate in the digester. Manure particularly possessed Methanoculleus (24%) and uncultured methanogens identified by DGGE, whereas oxidation lagoon was exclusively abundant in Methanolinea (18%) and Methanosaeta (19%). Leachate, as the microbial inoculum from a previous run, adequately preserved the biogas‐producing community. These results could lead to higher biogas yields through bioaugmentation strategies by incorporating higher proportions or an enriched inoculum from the relevant feedstocks.
Differential roles of gestures on spatial language in neurotypical elderly adults and individuals with focal brain injury

ABSTRACT Gestures might serve communicative functions by supplementing spoken expressions or restorative functions by facilitating speech production. Also, speakers with speech deficits use gestures to compensate for their speech impairments. In this study, we examined gesture use in speakers with and without speech impairments and how spoken spatial expressions changed when gestures were restrained. Six patients with speech problems and with left frontal and/or temporal lesions and 20 neurotypical controls described motion events in 3 different conditions (spontaneous gesture, only speech, and only gesture). In addition to the group analyses, we ran case analyses. Results showed that patients used more gestures compared to controls. Gestures served both communicative and restorative functions for patients whereas controls only used gestures for communicative purposes. Case analyses revealed that there were differential patterns among patients. Overall, gesture production is multifunctional and gestures serve different functions for different populations as well as within a population.
Evaluating a new method for reconstructing forest conditions from General Land Office survey records.

Historical forest conditions are often used to inform contemporary management goals because historical forests are considered to be resilient to ecological disturbances. The General Land Office (GLO) surveys of the late 19th and early 20th centuries provide regionally quasi-contiguous data sets of historical forests across much of the Western United States. Multiple methods exist for estimating tree density from point-based sampling such as the GLO surveys, including distance-based and area-based approaches. Area-based approaches have been applied in California mixed-conifer forests but their estimates have not been validated. To assess the accuracy and precision of plotless density estimators with potential for application to GLO data in this region, we imposed a GLO sampling scheme on six mapped forest stands of known densities (159-784 trees/ha) in the Sierra Nevada in California, USA, and Baja California Norte, Mexico. We compared three distance-based plotless density estimators (Cottam, Pollard, and Morisita) as well as two Voronoi area (VA) estimators, the Delincé and mean harmonic Voronoi density (MHVD), to the true densities. We simulated sampling schemes of increasing intensity to assess sampling error. The relative error (RE) of density estimates for the GLO sampling scheme ranged from 0.36 to 4.78. The least biased estimate of tree density in every stand was obtained with the Morisita estimator and the most biased was obtained with the MHVD estimator. The MHVD estimates of tree density were 1.2-3.8 times larger than the true densities and performed best in stands subject to fire exclusion for 100 yr. The Delincé approach obtained accurate estimates of density, implying that the Voronoi approach is theoretically sound but that its application in the MHVD was flawed. The misapplication was attributed to two causes: (1) the use of a crown scaling factor that does not correct for the number of trees sampled and (2) the persistent underestimate of the true VA due to a weak relationship between tree size and VA. The magnitude of differences between true densities and MHVD estimates suggest caution in using results based on the MHVD to inform management and restoration practices in the conifer forests of the American West.
Presence of a family history and excessive pressure on the first toe pad during walking in female subjects with pincer nails

Pincer nails (PN) are defined as a transverse overcurvature of the nail plate. Although there have been advancements in therapeutic approaches, the precise underlying mechanisms for the development of PN are still not fully understood. Currently, PN are assumed to develop due to lack of upward mechanical force on the toes. We developed a novel wireless device to observe detailed gait motion. We analyzed trends of gait motion in healthy individuals without PN, healthy individuals with PN without a family history of PN, and healthy individuals with PN and a family history of PN. We found that a family history of PN is an independent risk factor for PN, irrespective of gait motion. Moreover, healthy individuals with PN but without a family history of PN exhibit strong and concentrated pressure on the first toe pad during walking. In sum, a family history of PN and excess upward mechanical forces on the first toe pad during walking may be risk factors for the development of PN.
Insomnia in Patients Seeking Care at an Orofacial Pain Unit

Introduction: Orofacial pain and dysfunction include a broad range of disturbances among which pain and insomnia are some of the most common complaints. Sleep strengthens physiological and psychological resilience and is an absolute requirement for health. Insomnia is a common symptom or sleep disorder, yet data on its prevalence is sparse. Here we extracted data from the insomnia severity index which was part of the web-based interdisciplinary symptom evaluation (WISE) tool given to a large sample of patients seeking care at an orofacial pain unit for analyzing insomnia prevalence in this clinical population. Material and methods: Anonymized data were available from 952 patients who consulted the Orofacial Pain Unit at the Center of Dental Medicine, University of Zurich, Zurich, Switzerland between January 2017 and December 2018. Prevalence data for insomnia stratified by gender and 10 age groups (decades) were calculated. The distribution of four insomnia severity grades was determined, also stratified by age and gender. Results: 952 patients (290 men: 30.5%) with a mean age of 44.8 ± 17.4 years completed a WISE. Three hundred and fifty-two (37.0%) patients with a mean age of 45.8 ± 16.7 years positively responded to a screening question for insomnia and/or hypersomnia. Insomnia was severe in women from the 2nd to 8th decade, ranging from 4.3% (3rd decade) to 14.5% (6th decade), and moderately severe from the 2nd to 9th decade, ranging from 18.8% (6th decade) to 27.8% (2nd decade). In men, severe insomnia was present from the 3rd to 7th decade, ranging from 2.3% (7th decade) to 4.4% (4th decade) and moderately severe insomnia from the 3rd to 7th decade, ranging from 4.6% (7th decade) to 12.2% (5th decade). Conclusions: This is the first study reporting on insomnia in a large sample of patients seeking care at an orofacial pain unit. One in three patients reported some form of sleep disturbances, which for almost half of them was moderate to severe insomnia. The gender ratio was almost equal throughout adulthood, yet younger and older women were more frequently affected and experienced higher insomnia severity than men.
Considerations of Mutual Exchange in Prosocial Decision-Making

Research using economic decision-making tasks has established that direct reciprocity plays a role in prosocial decision-making: people are more likely to help those who have helped them in the past. However, less is known about how considerations of mutual exchange influence decisions even when the other party’s actions are unknown and direct reciprocity is therefore not possible. Using a two-party economic task in which the other’s actions are unknown, Study 1 shows that prosociality critically depends on the potential for mutual exchange; when the other person has no opportunity to help the participant, prosocial behavior is drastically reduced. In Study 2, we find that theories regarding the other person’s intentions influence the degree of prosociality that participants exhibit, even when no opportunity for direct reciprocity exists. Further, beliefs about the other’s intentions are closely related to one’s own motivations in the task. Together, the results support a model in which prosociality depends on both the social conditions for mutual exchange and a mental model of how others will behave within these conditions, which is closely related to knowledge of the self.