Miracle-dz/UniFAR-FTUs huggingface dataset:
Social media analytics and internet of things: survey

Due to the emergence of social media, there is a paradigm shift in the area of information production, processing and consumption. Hence, investigation in the utilization of open social media data is a relevant research topic. The openness of data, social media data, enables innovation and societal value creation. Social media analytics is an evolving research domain with interdisciplinary methods that are common in data mining such as text mining, social network analysis, trend analysis, and sentiment analysis. Also, social media analytics deals with development and evaluation of frameworks and informatics tools to process noisy and unstructured social media data. On the other hand, Internet of Things (IoT) enables the utilization of digital artifacts with well-established solutions and allows things to be connected regardless of location and time. However, a literature review about social media analytics and IoT integration is missing. In this paper, we conducted a systematic literature review of social media analytics and IoT integration. The literature review indicates that there are fewer research works done in the area of social media analytics and IoT compared to Data Mining and IoT. This paper facilitates discussion and elicits research potentials in social media analytics and IoT integration.
A novel concept for determining the direction of implanted hair in hairline correction surgery in East Asian women

Modern hair transplant surgery is based on follicular unit transplantation [1]. The four major concepts describing the direction of an implanted hair’s growth that are applied in the clinic are angle, direction, curl, and flow. Among these, angle and direction are the most basic and important. Hair angle refers to the angle at which a hair shaft exits the scalp; hair direction refers to whether the angle is to the left or the right [2,3]. Hair curliness varies according to race and genetic factors, and from person to person [4]. Every person has a unique curl, and the curl of all hairs is not the same in any one person; each individual’s hair has a wide variety of curl patterns. East Asians’ hair is neither straight nor curly, but has properties of both moderately wavy and straight hair. Nagase et al. [5] reported that 53% of Japanese women had straight hair, while the remaining 47% had curved hair, ranging from slightly wavy to frizzy. Transplanted curly or wavy hair does not grow with the angle and direction of the implanted follicle; instead, it grows according to its own curl after the hair shaft exits the skin. Flow refers to the pattern of directionality of a group of hairs in a region, rather than to the directionality of individual hair shafts. Hair flow along the frontal hairline is completely different in females and males. Hair flow does not follow a single pattern over the entire scalp; in particular, the hair flow pattern varies around the parietal whorl. Even when the angle, direction, curl and, flow of a transplanted follicle are exactly matched with the natural angle and direction of the preexisting adjacent hairs, the transplanted hair can show a different growth direction, which results in an awkward appearance (Figs. 1, 2). To solve this problem, the author has developed the new concept of the hair growth vector. By applying this concept to hair transplant surgery, problems with awkward directions of hair growth are resolved. Fig. 1. Incongruence of growth vectors, example 1. A 48-year-old female patient had undergone hairline correction surgery from the frontotemporal recess area to the side hairline 3 years previously. The implantation was performed in accordance with the angle and direction of the preexisting hair. However, unlike thin, frontal hairs (red arrows), which easily bend downwards under the influence of gravity, the thick, implanted hairs (blue arrows) created an awkward result by projecting outwards, more horizontally.
Novel applications of array comparative genomic hybridization in molecular diagnostics

ABSTRACT Introduction: In 2004, the implementation of array comparative genomic hybridization (array comparative genome hybridization [CGH]) into clinical practice marked a new milestone for genetic diagnosis. Array CGH and single-nucleotide polymorphism (SNP) arrays enable genome-wide detection of copy number changes in a high resolution, and therefore microarray has been recognized as the first-tier test for patients with intellectual disability or multiple congenital anomalies, and has also been applied prenatally for detection of clinically relevant copy number variations in the fetus. Area covered: In this review, the authors summarize the evolution of array CGH technology from their diagnostic laboratory, highlighting exonic SNP arrays developed in the past decade which detect small intragenic copy number changes as well as large DNA segments for the region of heterozygosity. The applications of array CGH to human diseases with different modes of inheritance with the emphasis on autosomal recessive disorders are discussed. Expert commentary: An exonic array is a powerful and most efficient clinical tool in detecting genome wide small copy number variants in both dominant and recessive disorders. However, whole-genome sequencing may become the single integrated platform for detection of copy number changes, single-nucleotide changes as well as balanced chromosomal rearrangements in the near future.
Prenatal Perfluorooctyl Sulfonate Exposure and Alu DNA Hypomethylation in Cord Blood

Background: Perfluoroalkyl substances (PFASs) are stable and persistent in the environment, animals, and humans. PFASs can penetrate placenta and affect fetal growth. We investigated associations between prenatal exposure to perfluorooctanoic acid (PFOA), perfluorooctyl sulfonate (PFOS), perfluorononanoic acid (PFNA), and perfluoroundecanoic acid (PFUA) and global methylation levels. Specific Aims and Methods: The study used the subjects from Taiwan Birth Panel birth cohort study, including all pregnant women who gave birth between July 2004 and June 2005 in four hospitals in Taipei city and New Taipei City. A total of 363 mother-infant pairs were included in the final analyses. PFOA, PFOS, PFNA, and PFUA were measured by UPLC-MS/MS in cord blood. LINE-1 and Alu repeated elements from cord blood was used to represent global DNA methylation levels. Multivariable regression models were used to adjust potential confounders. Results: After controlling for potential confounders, each unit increase in the natural log-transformed PFOS exposure was associated with an adjusted OR of 1.72 (95% CI: 1.03, 2.88) for low Alu methylation level when dichotomized methylation level by medium. No significant effects between PFOA, PFNA, PFUA and methylation levels in the multivariable regression models were observed. Conclusions: Our findings suggest that prenatal PFOS exposure may be associated with low Alu methylation level.
Visualizing Patient Timelines in the Intensive Care Unit

Electronic Health Records (EHRs) contain a large volume of heterogeneous patient data, which are useful at the point of care and for retrospective research. These data are typically stored in relational databases. Gaining an integrated view of these data for a single patient typically requires complex SQL queries joining multiple tables. In this work, we present a visualization tool that integrates heterogeneous health care data (e.g., clinical notes, laboratory test values, vital signs) into a single timeline. We train risk models offline and dynamically generate and present their predictions alongside patient data. Our visualization is designed to enable users to understand the heterogeneous temporal data quickly and comprehensively, and to place the output of analytic models in the context of the underlying data.
Evidence for Mitochondrial Genome Methylation in the Yeast Candida albicans: A Potential Novel Epigenetic Mechanism Affecting Adaptation and Pathogenicity?

The commensal yeast Candida albicans is an opportunistic pathogen. In order to successfully colonize or infect the human body, the fungus must adapt to the host’s environmental conditions, such as low oxygen tension (hypoxia), temperature (37°C), and the different carbon sources available. Previous studies demonstrated the adaptive importance of C. albicans genetic variability for its pathogenicity, although the contributions of epigenetic and the influence of environmental factors are not fully understood. Mitochondria play important roles in fungal energetic metabolism, regulation of nuclear epigenetic mechanisms and pathogenicity. However, the specific impact of inter-strain mitochondrial genome variability and mitochondrial epigenetics in pathogenicity is unclear. Here, we draw attention to this relevant organelle and its potential role in C. albicans pathogenicity and provide preliminary evidence, for the first time, for methylation of the yeast mitochondrial genome. Our results indicate that environmental conditions, such as continuous exposure for 12 weeks to hypoxia and 37°C, decrease the mitochondrial genome methylation in strains SC5314 and L757. However, the methylation decrease is quantitatively different in specific genome positions when strains SC5314 and L757 are compared. We hypothesize that this phenomenon can be promising for future research to understand how physical factors of the host affect the C. albicans mitochondrial genome and its possible impact on adaptation and pathogenicity.
Promoting eyewitness testimony quality: Warning vs. reinforced self-affirmation as methods of reduction of the misinformation effect

: In a typical experiment on the misinformation effect, subjects ﬁ rst watch some event, afterwards read a description of it which in the experimental group includes some incorrect details, and answer questions relating to the original event. Typically, subjects in the misled experimental group report more false details than those from the control group. The main purpose of the presented study was to compare two methods of reducing the misinformation effect, namely – warning against misinformation and reinforced self-af ﬁ rmation. The reinforced self-af ﬁ rmation consists of two elements: the participants recall their greatest achievements of life, and are being given a positive feedback about their performance in a memory task. The obtained results showed that the reinforced self-af ﬁ rmation was more effective than warning, although the latter also caused a signi ﬁ cant reduction of the vulnerability to misinformation.
A Cross-Sectional Study of the Association between Autoantibodies and Qualitative Ultrasound Index of Bone in an Elderly Sample without Clinical Autoimmune Disease

Bone loss is characteristic of the ageing process and a common complication of many autoimmune diseases. Research has highlighted a potential role of autoantibodies in pathologic bone loss. The confounding effects of immunomodulatory drugs make it difficult to establish the contribution of autoantibodies amongst autoimmune disease sufferers. We attempted to examine the relationship between autoantibodies and bone mass in a population of 2812 elderly participants without clinical autoimmune disease. Serum samples were assayed for a panel of autoantibodies (anti-nuclear, extractable nuclear antigen, anti-neutrophil cytoplasmic, thyroid peroxidase, tissue transglutaminase, anti-cardiolipin, rheumatoid factor, and cyclic citrullinated peptide). Bone mass was measured using quantitative ultrasound (QUS) of the calcaneus. The relationship between each autoantibody and bone mass was determined using linear regression models. Anti-nuclear autoantibodies were the most prevalent, positive in approximately 11%, and borderline in roughly 23% of our sample. They were also the only autoantibody observed to be significantly associated with QUS index in the univariate analysis (n = 1628; r = −0.20; 95% CI: −0.40–0.00; p = 0.046). However, statistical significance was lost after adjustment for various other potential confounders. None of the other autoantibodies was associated with QUS index in either univariate or multivariate analysis. We are limited by the cross-sectional nature of the study and the low prevalence of autoantibodies in our nonclinical sample.
Short-Term Load Forecasting With Deep Residual Networks

We present in this paper a model for forecasting short-term electric load based on deep residual networks. The proposed model is able to integrate domain knowledge and researchers’ understanding of the task by virtue of different neural network building blocks. Specifically, a modified deep residual network is formulated to improve the forecast results. Further, a two-stage ensemble strategy is used to enhance the generalization capability of the proposed model. We also apply the proposed model to probabilistic load forecasting using Monte Carlo dropout. Three public datasets are used to prove the effectiveness of the proposed model. Multiple test cases and comparison with existing models show that the proposed model provides accurate load forecasting results and has high generalization capability.
3D Comparison of Mandibular Response to Functional Appliances: Balters Bionator versus Sander Bite Jumping

Aim To assess the three-dimensional (3D) maxillomandibular and dental response to Balters Bionator (BB) and the Sander Bite Jumping Appliance (SBJA) in growing patients. Materials and Methods Twenty-seven Class II division 1 patients (13 males, 14 females), consecutively treated with either the BB (9 females, 7 males; 10.1 ± 1.6 years) or SBJA (5 females, 6 males; 11 ± 1.9 years), were collected from a single orthodontic practice. All patients presented overjet ≥5 mm, full Class II or end-to-end molar relationship, mandibular retrusion. CBCT scans were available at T1 and after removal of the functional appliances (T2) with a mean interval of 18 months. The 3D location and direction of skeletal and dental changes with growth and treatment were quantitatively assessed. Statistical analysis was performed by means of Mann–Whitney U test (p < 0.05). Results Patients treated with the SBJA and BB orthopedic appliances presented, respectively, 4.7 mm and 4.5 mm of 3D displacement of the chin, with marked ramus growth of, respectively, 3.7 mm and 2.3 mm. While the mandible and maxilla grew downward and forward, no opening of the mandible plane was observed. Both appliances adequately controlled labial inclination of lower incisors (1.3° and 0.3°, for the SBJA and BB groups, resp.). No significant between-group differences were found for the T2−T1 changes for any of the variables, with the exception of molar displacements (significantly greater in the SBJA group than in the BB group, 1.2 mm and 0.9 mm, resp.). Conclusions The maxillomandibular and dental growth responses to BB and SBJA therapies are characterized by vertical ramus growth and elongation of mandible that improve the maxillomandibular relationship with adequate control of lower incisor position.
Population Characteristics and Needs of Informal Caregivers Associated With the Risk of Perceiving a High Burden: A Cross-Sectional Study

This study explored the population characteristics and needs of informal caregivers reporting a low or high burden. A cross-sectional study was conducted in the Netherlands to explore the associations between the characteristics and needs of informal caregivers and the burden they perceive and to assess the variance in perceived burdens that is explained by these variables. Three thousand sixty-seven adult informal caregivers and 1936 senior informal caregivers participated, almost 15% of whom perceived a high burden. Particularly caregivers in the 40 to 54 age group perceived a high burden, while caregivers with an intermediate educational level reported a low burden. Higher burden was also reported by caregivers who spent more time on the care provision tasks, had a high level of depressive symptoms, or reported loneliness. The explored variables seem to be important to explain caregiver burden. Longitudinal research is warranted to establish the causal directions of these associations.
Molecular Typing and Carbapenem Resistance Mechanisms of Pseudomonas aeruginosa Isolated From a Chinese Burn Center From 2011 to 2016

Pseudomonas aeruginosa is the leading cause of infection in burn patients. The increasing carbapenem resistance of P. aeruginosa has become a serious challenge to clinicians. The present study investigated the molecular typing and carbapenem resistance mechanisms of 196 P. aeruginosa isolates from the bloodstream and wound surface of patients in our burn center over a period of 6 years. By multilocus sequence typing (MLST), a total of 58 sequence types (STs) were identified. An outbreak of ST111, a type that poses a high international risk, occurred in 2014. The isolates from wound samples of patients without bacteremia were more diverse and more susceptible to antibiotics than strains collected from the bloodstream or the wound surface of patients with bacteremia. Importantly, a large proportion of the patients with multisite infection (46.51%) were simultaneously infected by different STs in the bloodstream and wound surface. Antimicrobial susceptibility testing of these isolates revealed high levels of resistance to carbapenems, with 35.71% susceptibility to imipenem and 32.14% to meropenem. To evaluate mechanisms associated with carbapenem resistance, experiments were conducted to determine the prevalence of carbapenemase genes, detect alterations of the oprD porin gene, and measure expression of the ampC β-lactamase gene and the mexB multidrug efflux gene. The main mechanism associated with carbapenem resistance was mutational inactivation of oprD (88.65%), accompanied by overexpression of ampC (68.09%). In some cases, oprD was inactivated by insertion sequence element IS1411, which has not been found previously in P. aeruginosa. These findings may help control nosocomial P. aeruginosa infections and improve clinical practice.
Scattering analysis of silver nanoparticles for solar cell applications using integral equations

Plasmonic nanoparticles (NPs) can be used to improve the efficiency of solar cells. Analysis of electromagnetic scattering from NPs is often carried out under the assumptions that they reside in air and have “ideal” shapes (sphere, cube, etc.) However, in a realistic setup, nanoparticles are fabricated on a substrate and their shape and size cannot be controlled precisely. In this work, a surface integral equation solver is used to accurately characterize the scattering from a realistic system, where silver hemispheres of varying sizes are fabricated on an indium tin-oxide substrate. Results obtained by the solver are compared to the experimental results obtained for a similar system.
Suppression of respiratory growth defect of mutant deficient in mitochondrial phospholipase A1 by overexpression of genes involved in coenzyme Q synthesis in Saccharomyces cerevisiae

ABSTRACT DDL1 encodes a mitochondrial phospholipase A1 involved in acyl chain remodeling of mitochondrial phospholipids and degradation of cardiolipin in Saccharomyces cerevisiae. The deletion of DDL1 leads to respiratory growth defects. To elucidate the physiological role of DDL1, we screened for genes that, when overexpressed, suppress the respiratory growth defect of the DDL1 deletion mutant. Introduction of COQ8, COQ9, or COQ5, which are involved in coenzyme Q (CoQ) synthesis, using a multicopy vector suppressed the respiratory growth defect of the DDL1 deletion mutant. In contrast, introduction of COQ8 using a multicopy vector did not accelerate the growth of the deletion mutants of TAZ1 or CLD1, which encode an acyltransferase or phospholipase A2, respectively, involved in the remodeling of cardiolipin. These results suggest genetic interactions between the mitochondrial phospholipase A1 gene and the genes involved in CoQ synthesis. Graphical Abstract Abbreviations: CoQ: coenzyme Q; CL: cardiolipin; ORF: open reading frame; PA: phosphatidic acid; PC: phosphatidylcholine; PE: phosphatidylethanolamine; PG: phosphatidylglycerol; PLA1: phospholipase A1; iPLA1: intracellular PLA1; PLA2: phospholipase A2 Genetic interaction between DDL1 encoding a mitochondrial phospholipase A1 and genes involved in coenzyme Q synthesis.
A new method on reconstructing protein structure from NOESY distances

Motivation: The protein structure reconstruction from Nuclear Magnetic Resonance (NMR) experiments heavily relies on computational algorithms, such as matrix completion (MC). Recently, some effective low-rank matrix completion methods, like ASD and ScaledASD, have been successfully applied in image processing, which inspired us to apply them in protein structure reconstruction. Results: Here we present an efficient method for determining protein structures from experimental NOESY distances, by combining the ASD/ScaledASD algorithm with several afterwards procedures including chirality refinement, distance lower (upper) bound refinement and forcefield-based energy minimization (EM). By comparing several metrics on conformation evaluation between our results and the PDB deposits, including RMSD, TMscore, MPscore, secondary structures and Ramachandran Plot, we conclude that our method is consistent with the popular used methods. In particular, the MPscore comparison indicates that our results generally have higher validity than PDB. In the end, we compared the EM results under different forcefields, showing that our reconstructed configurations are robust to the forcefields selection. Availability and implementation: The software and its MATLAB source codes are available at this https URL Contact: qzhaoyuping@bit.this http URL or xubiaopeng@bit.this http URL. Supplementary: Supplementary data are available at Bioinformatics online.
Terabit Faster-Than-Nyquist PDM 16-QAM WDM Transmission With a Net Spectral Efficiency of 7.96 b/s/Hz

In this paper, we experimentally demonstrate a 1.28 Tb/s faster-than-Nyquist (FTN) wavelength division multiplexing (WDM) system with polarization division multiplexed (PDM) 16-ary quadrature amplitude modulation (16-QAM) signal and coherent detection. Note that intersymbol interference (ISI) and intercarrier interference (ICI) are two major problems in FTN-WDM systems. In our experiment, we use a digital brick-wall filter at the transmitter to reduce the signal bandwidth and fit the FTN-WDM channel spacing. In doing so, the ICI can be mostly suppressed when aggregating the WDM channels. The aggressive filtering induced ISI is compensated based on duobinary signal processing at the receiver. Through numerical simulation, we evaluate the robustness of the receiver-side duobinary signal processing against bandwidth truncation ratio of the digital brick-wall filter, the ICI from neighboring channels, and laser phase noise. The FTN WDM transmission is based on five-channel 32 Gbaud PDM 16-QAM signal with 29 GHz channel spacing. The gross data capacity is 1.28 Tb/s (5 × 256 Gb/s). After 80 km standard single-mode fiber transmission, the bit-error rates of the five WDM channels are all below than 7% hard-decision forward error correction threshold of 4.5 × 10−3. The net bit rate is 1.15 Tb/s and the net optical spectral efficiency achieves a record of 7.96 b/s/Hz for PDM 16-QAM format. To our best knowledge, our work is the first report of Terabit FTN-WDM system with high-order modulation of PDM 16-QAM signal.