Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of information and communication technology on the quality of family relationships: A systematic review

Information and communication technology (ICT) facilitates communication within families but may also displace face-to-face communication and intimacy. The aims of this systematic review were to investigate what positive and negative relationship outcomes are associated with ICT use in families, and whether and how the outcomes differ depending on relationship type (romantic relationship, parent–child relationship, or sibling). Included in the review were research published in English between 2009 and 2019 studying the effects of ICT on family relationships with quantitative data. 70 peer-reviewed articles (73 studies) were retrieved and categorized based on four types of ICT variables: personal use, personal use in the presence of a family member (technoference), communication between family members, and co-use with family members. Personal use and technoference were mostly related to negative outcomes due to, for example, displaced attention and more frequent conflicts. Romantic partners were especially strongly negatively affected displaying stressors unique to romantic relationships, such as infidelity. By contrast, communication and co-use showed mostly positive effects across all relationship types. In particular, “rich” communication media resembling face-to-face interaction were strongly associated with positive outcomes. We conclude that ICT impacts family relations in different ways, depending on both the type of relationship and type of ICT use. Personal ICT use tends to weaken both parenting and romantic relationships in ways that can partly be mitigated by co-use and communication. Directions for future research include, assessing how often ICT is used in relationship-strengthening versus relationship-interfering ways, investigating causal pathways between ICT use and relationship quality, and focusing on understudied relationship types, such as siblings and grandparents.
Application of intraoperative navigation in 3D laparoscopic pancreaticoduodenectomy: A case report

Laparoscopic pancreaticoduodenectomy is one of the most challenging operations in abdominal surgery, with a high risk and numerous potential complications. Laparoscopy can magnify the surgical field, improving vision, but it cannot see through and identify the internal structures of the surgical field. Intraoperative navigation is a technology currently being developed; it projects the three-dimensional (3D) image established before surgery onto the surgical area during surgery, locates the anatomical landmarks, matches the 3D image with the actual image, and then displays the relationship between the tumor and the surrounding blood vessels. The important structures such as tumors, blood vessels, bile ducts and pancreatic ducts are quickly identified. Secondary injuries are reduced, the operation speed is increased and the surgical safety is improved. The present study describes the use of surgical navigation technology in the 3D laparoscopic pancreaticoduodenectomy of a 64-year-old man. The present paper reports the treatment process of the case, the application of surgical navigation technology in the operation and discusses the advantages of surgical navigation technology in 3D laparoscopic pancreaticoduodenectomy.
Volatiles Accumulation during Young Pomelo (Citrus maxima (Burm.) Merr.) Fruits Development

As widely planted fruits with high nutritional and medical values, pomelos are managed systematically to achieve the largest economic benefits. But the annual shedding of young pomelos, which could be applied as feedstocks for essential oil extraction with their abundant volatiles, leads to a waste of source. The present study selected two commonly planted pomelo (Citrus maxima (Burm.) Merr. ) varieties in Southern China, to investigate the volatile profiles during young pomelo fruits development. Combing transcriptomic analysis, this study aimed at identifying the prominent volatile components in young pomelo fruits in order to preferably extract profitable volatiles, as well, increasing the knowledge concerning regulatory roles of transcription factors (TFs) on volatiles accumulation in young pomelos. Totally 29 volatiles were identified, including 14 monoterpenoids and 13 sesquiterpenoids. Diprene was the principal component with the highest amount. Volatiles were generally decreased during fruits development but preferable stages were figured out for volatile collections. 12 and 17 TFs were related to developing time while ERF003 and MYC2 were highly correlated to monoterpenoids. These findings put forward the comprehensive usages of young pomelos and enriched the regulatory roles of TFs on both fruit development and volatiles metabolism.
An Equivalent Hybrid Model for a Large-scale Modular Multilevel Converter and Control Simulations

Modular multilevel converter (MMC) is adopted mainly for high voltage applications with many power blocks per arm. Before commissioning a large-scale MMC application, it is vital to simulate and study internal and system-level dynamics. However, it is challenging to simulate an MMC with many SMs in EMT simulation tools due to simulation time and computation burden. Therefore, several simplified modeling techniques are proposed to reduce the challenges. Even though the existing models reasonably reduce the computation complexity and simulation time, there are still challenges as the internal dynamics of an MMC cannot be fully captured. On the other hand, the detailed equivalent models capture the internal dynamics, but the simulation complexity and the time increase. Therefore, it is still a need for better, faster, and more accurate simulation models to study the system-level and internal dynamics of an MMC. Therefore, this paper proposes a hybrid simulation model for a large-scale MMC application using a scale-up control structure method. The proposed method is verified in the MATLAB/Simulink simulation tool. Besides, the proposed model is tested and verified at the Real-Time Digital Simulator (RTDS) in a Hardware-in-Loop (HIL) environment.
Activity fingerprints in DNA based on a structural analysis of sequence information.

The function of a DNA sequence is commonly predicted by measuring its nucleotide similarity to known functional sets. However, the use of structural properties to identify patterns within families is justified by the discovery that many very different sequences have similar structural properties. The aim of this thesis is to develop tools that detect any unusual structural characteristics of a particular sequence or that identify DNA structure-activity fingerprints common to a set. This work uses the Octamer Database to describe DNA. The database's contents are split into two categories: those parameters that describe minimum energy structure and those that measure flexibility. Information from both of these categories has been combined to describe structural tendencies, offering an alternative measure of sequence similarity. A structural DNA profile gives a graphical illustration of how a parameter from the Octamer Database varies across either a single sequence's length or across a set of sequences. Profile Manager is an application that has been developed to automate single sequence profile generation and is used to study the A-tract phenomenon. The use of profiles to explore patterns in flexibility across a set of pre-aligned promoters is then investigated with interesting transitions in decreasing twist flexibility discovered. Multiple sequence queries are harder to solve than those of single sequences, due to the inherent need for the sequences to be aligned. It is only under rare circumstances that sequences are pre-aligned by an experimentally determined position. More commonly a multiple alignment must be generated. An extended, structure-based, hidden Markov model technique that successfully generates structural alignment~ is presented. Its. application is tested on four DNA protein binding site datasets with comparisons made to the traditional sequence method. Structural alignments of two out of the four datasets were comparable in performance to sequence with useful insights into underlying structural mechanisms.
Management of Non-Mass Enhancement at Breast Magnetic Resonance in Screening Settings Referred for Magnetic Resonance-Guided Biopsy

Rationale and Objectives: According to the Breast Imaging and Reporting Data System (BI-RADS), one of the main limitations of MRI is diagnosing the non-mass enhancement (NME). The NME lesion is challenging since it is unique to the MRI lexicon. This study aims to report our experience with NME lesions diagnosed by MRI referred for MRI-guided biopsies and discuss the management and follow-up of these lesions. Materials and Methods: We retrospectively evaluated all MRI-guide breast biopsies. We included all patients referred for NME breast MRI-guided biopsy in screening settings. All patients had a negative second-look mammography or ultrasonography. We correlated the distribution and internal enhancement pattern (IEP) of the NME lesions with histology. Invasive ductal carcinomas (IDC) of no special type and ductal carcinoma in situ (DCIS) were considered malignant lesions. Results: From January-2018 to July-2021, we included 96 women with a total of 96 lesions in the study. There were 90 benign and 6 malignant lesions with DCIS prevalence (5/6 cancers). The most frequent benign lesion type was fibrocystic changes. There were no NME lesions with diffuse or multiple area distribution features referred to MRI-guided biopsy. The positive-predictive values (PPV) were respectively 0.0%, 2.5%, 9.0%, and 11.0% for linear, focal, regional, and segmental distribution describers, and 0.0, 3.0%, 7.9%, and 50% for homogenous, heterogeneous, clumped, and clustered-ring enhancement patterns. Conclusion: We observe the high potential risk for malignancy in the clustered-ring enhancement followed by the clumped pattern. Segmental distribution presented the highest predictive-positive values.
Cumulative advantages and disadvantages in attainment of higher education: Set-analytic comparison of asymmetric inequalities in six European countries

This article explores how parental resources work together to secure higher education for their offspring. It does so by, first, mapping the linkages between cumulative advantages and disadvantages of respondents’ parental resources and educational attainment across countries and cohorts. Second, investigating under which institutional setup of education systems these linkages between parental background and educational attainment are the weakest. At both levels, the set-analytic approach is applied. We show that disadvantages tend to cumulate to a much greater extent than advantages and their role in hindering higher educational attainment is much stronger than advantages to enable it. The only configuration of educational system that is sufficient to mitigate linkages between cumulative background and educational attainment in both directions, that is, advantageous background to enable and disadvantageous background to hinder higher educational attainment, combines high levels of standardization and decommodification.
RLP‐VIO: Robust and lightweight plane‐based visual‐inertial odometry for augmented reality

We propose RLP‐VIO—a robust and lightweight monocular visual‐inertial odometry system using multiplane priors. With planes extracted from the point cloud, visual‐inertial‐plane PnP uses the plane information for fast localization. Depth estimation is susceptible to degenerated motion, so the planes are expanded in a reprojection consensus‐based way robust to depth errors. For sensor fusion, our sliding‐window optimization uses a novel structureless plane‐distance error cost, which prevents the fill‐in effect that poisons the BA problem's sparsity and permits the use of a smaller sliding window while maintaining good accuracy. The total computational cost is further reduced with our modified marginalization strategy. To further improve the tracking robustness, the landmark depths are constrained using the planes during degenerated motion. The whole system is parallelized with a three‐stage pipeline. Under controlled environments, this parallelization runs deterministically and produces consistent results. The resulting VIO system is tested on widely used datasets and compared with several state‐of‐the‐art systems. Our system achieves competitive accuracy and works robustly even on long and challenging sequences. To demonstrate the effectiveness of the proposed system, we also show the AR application running on mobile devices in real‐time.
The Role of Rhythm and Vowel Space in Speech Recognition

This paper explores the role of rhythm and vowel space in automatic speech recognition (ASR), with a particular focus on Midland and Southern American English in the Appalachian region. Three sets of analysis were conducted. First, we computed the word error rates between the ground truth and the transcripts generated by DARLA. Consistent with previous studies, the results show higher error rates for Southern English (59.5%) than for Midland English (47.2%), suggesting a dialect gap in speech recognition. Next, we examined whether the error rates are influenced by rhythm. The results show that neither %V nor ΔV reliably predicted ASR performance. We also sought to draw a link between vowel space, speech intelligibility, and ASR performance. Three vowel space metrics were considered: convex hull, formant dispersion, and the polygon area. We noticed that as convex hull and formant dispersion increase, the error rates decrease, particularly for Midland speakers. This aligns with our hypothesis that more expanded vowel space enhances speech intelligibility, thus reducing the error rate for the Midland cohort. No clear connection between the polygon area, speech intelligibility, and error rates was found. These results, albeit suggestive, point out some promising directions for improving acoustic modeling in speech recognition.
PUBLIC SPACE FUNCTION TRANSFORMATION (CASE STUDY: ENGKU PUTERI SQUARE IN BATAM CITY)

Engku Puteri Square is an open field which is usually called “Alun-Alun”, located next to the mayor's office of Batam which was originally planned as a public open space and venue for the ceremony ground of the Batam City civil servants. The concept of structuring the city square in several cities in Indonesia has been started since a long time ago, the city square has a potential role to be one of the city identities. This is important because we are now experiencing an identity crisis, especially in the field of architecture or urban planning.Engku Puteri square became a different public space when in 2003 the Municipality of Batam decided to construct the fence around the square area, especially when the Alun-Alun was decided to be the location for the implementation of the National MTQ when the Riau Islands Province hosted the event in 2014. A few months before National Level MTQ being held, there were a large renovation done, such as the addition of towers and gates permanently. The pulpit and Astaka used as the main arena of MTQ activities are also built magnificently. The Engku Puteri, which used to have an open concept now becomes more intimate and different from the initial concept, all might be due to the lack of awareness of the public and policy makers about the concept of public open space. The purpose of this paper is to find a concept of the city square that will be compared with the existing conditions as a consideration to restore the actual function of the Engku Puteri City Square.
Loss of Renewal of Extracellular Vesicles: Harmful Effects on Embryo Development in vitro

Background Extracellular vesicles (EVs), as a promising platform for drug delivery, have attracted much attention. Degradation and regeneration of EVs maintain their homeostasis in vivo, but this regeneration is missing in the in vitro culture (IVC) system, which is likely to lead to negative effects. It is particularly concerning that most studies involving the addition of EVs in IVC seem to overlook this point. Methods We used rabbit embryos and oviduct fluid EVs as a model of embryo development to examine the effect of loss or gain of EV functionality in an IVC system. Embryonic development ratios were determined in each group. Malondialdehyde and ammonium ions in the culture medium were measured. RNA-seq, reactive oxygen species (ROS) staining, immunofluorescence of LC3 and H3K36me3, and qPCR of oxidative stress-related genes and autophagy-related genes of blastocysts in the in vivo group, non-EVs group, con-EVs group, and R-EVsM group was implemented. Results Incubation of embryos with 9.1×1011 EV particles/mL had a positive effect at 48 h and 72 h, which disappeared by 96 h, however. EVs at a concentration of 9.1×1012 particles/mL even showed a negative effect at 96 h. As culture time in the IVC system was increased, the amount of malondialdehyde and ammonium ions in the culture medium was increased, and there was a decrease in embryonic development activity of EVs. Lack of EV renewal in the IVC system impaired embryonic development competence, while replacement of EVs and medium during IVC could sustain embryonic development. Loss or gain of renewal in the IVC system affected EVs’ influence on embryo transcriptome, embryonic ROS, autophagy, epigenetic state and apoptosis. Conclusion Loss of renewal in the IVC system affected EVs’ role in embryonic development by causing an imbalance in ROS, autophagy, abnormal H3K36me3 levels and apoptosis, while gain of renewal in the IVC system reduced these adverse effects and ensured the beneficial function of EVs.
Organic Vegetable Production

India is the second most populated country with a constant increase in the population. But day-by-day the cultivated lands are getting shrunken. Agriculture is the backbone of India. To meet the demand for food, fodder, fuel, fibre and other needs for increasing population the agriculture productivity and soil health are required to be improved. In ancient times farming has been done organically through the fertilizers derived from animals and plants. From the middle of 19th century, farmers started using inorganic fertilizers or synthetic biocides. However, in past two decades nearly, people become conscious regarding the ill effect of chemical fertilizer towards human health and started to move towards the organic cultivation. Organic cultivation is found to be one among the key to attain sustainable agriculture. It refers to the farming without pesticides and fertilizers use. It is a remarkable form of the diversified agriculture that aims in producing nutritious high quality food with higher employment and income generation. They are based upon several laws and certification programs that forbid the use of most of the synthetic inputs and soil health is the central theme recognized in this method. Organic agriculture employs the use of some new varieties, precision and higher efficient technology, cover crops, mulching, crop rotations and other natural based techniques for enhancing and maintaining soil fertility. It emphasizes conservation of water, soil and energy, use of some renewable energy sources, environment enhancement and maintenance along with the optimum quality produce without synthetic or Organic Vegetable Production
How prosody affects ASR performance in conversational Austrian German

Currently available Automatic Speech Recognition (ASR) systems achieve good word error rates (WER) for read speech ( 2 − 10% ), but not for conversational speech ( 20 − 40% ), a speaking style especially relevant for dialogue systems, as they become more conversational and interactional. Here, we analyse how prosody affects WER in a Kaldi-based speech recognition system for a corpus of conversational Austrian German. This analysis is a step towards improving ASR systems and increasing our knowledge about which aspects are relevant to consider for ASR of conversational speech. For this purpose, we compare a typical language model (LM) with an oracle LM trained on the utterances from the whole corpus, thus knowing each possible N -gram in advance. We find that short, deac-cented words have the lowest recognition accuracy, which also cannot be compensated for by the oracle LM. Despite our over-all high WERs, the highly prominent words were recognised significantly better. Our findings suggest that reporting global WERs for an ASR system of conversational speech does not predict its usefulness in dialogue systems. Given the role of prominent words in carrying meaning and function in conversation, our analysis is relevant for researchers developing automatic speech understanding systems.
A Review on Mandibular Buccal Shelf Miniscrew

Buccal shelf area of mandible is a recent addition to temporary anchorage device proposed by John Jin-Jong Lin and Chris Chang, in 2010.Anatomically Buccal shelf is located bilaterally in the posterior part of the mandibular body, buccal to the roots of the first and second molars and anterior to the oblique line of the mandibular ramus and is a very safe site for extra radicular temporary anchorage devices because of increased cortical bone thickness and density. There is a positive association between primary stability of implant and cortical bone thickness. CBCT helps to quantify the skeletal anatomy of the buccal shelf, placement angle of the TADs, and amount of cortical bone engagement at the TAD interface.
Full-Length Transcriptional Analysis of the Same Soybean Genotype With Compatible and Incompatible Reactions to Heterodera glycines Reveals Nematode Infection Activating Plant Defense Response

Full-length transcriptome sequencing with long reads is a powerful tool to analyze transcriptional and post-transcriptional events; however, it has not been applied on soybean (Glycine max). Here, a comparative full-length transcriptome analysis was performed on soybean genotype 09-138 infected with soybean cyst nematode (SCN, Heterodera glycines) race 4 (SCN4, incompatible reaction) and race 5 (SCN5, compatible reaction) using Oxford Nanopore Technology. Each of 9 full-length samples collected 8 days post inoculation with/without nematodes generated an average of 6.1 GB of clean data and a total of 65,038 transcript sequences. After redundant transcripts were removed, 1,117 novel genes and 41,096 novel transcripts were identified. By analyzing the sequence structure of the novel transcripts, a total of 28,759 complete open reading frame (ORF) sequences, 5,337 transcription factors, 288 long non-coding RNAs, and 40,090 novel transcripts with function annotation were predicted. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of differentially expressed genes (DEGs) revealed that growth hormone, auxin-activated signaling pathway and multidimensional cell growth, and phenylpropanoid biosynthesis pathway were enriched by infection with both nematode races. More DEGs associated with stress response elements, plant-hormone signaling transduction pathway, and plant–pathogen interaction pathway with more upregulation were found in the incompatible reaction with SCN4 infection, and more DEGs with more upregulation involved in cell wall modification and carbohydrate bioprocess were detected in the compatible reaction with SCN5 infection when compared with each other. Among them, overlapping DEGs with a quantitative difference was triggered. The combination of protein–protein interaction with DEGs for the first time indicated that nematode infection activated the interactions between transcription factor WRKY and VQ (valine-glutamine motif) to contribute to soybean defense. The knowledge of the SCN–soybean interaction mechanism as a model will present more understanding of other plant–nematode interactions.