Miracle-dz/UniFAR-FTUs huggingface dataset:
Non-Cardiac Cause of Death in Selected Group Children with Cardiac Pathology: A Retrospective Single Institute Study

Background: Pediatricians and pediatric surgeons often face children with cardiomegaly and dilatative or hypertrophic cardiomyopathies presenting with or without symptoms. Some of these patients have already been diagnosed and received medication, and some present with completely unrelated pathologies. Methods: We performed a 4-year retrospective study on the causes and mechanisms of death of children with cardiac pathology who died outside the cardiology clinic of our hospital by studying the hospital charts and necropsy reports. All children who were in this situation in our hospital were included. Results: Most children in our study group were infants (81.82%), most were boys (81.82%), and in most cases, the cause or mechanism of death was unrelated to their heart condition, whether it had already been diagnosed or not (one case probably died as a result of a malignant ventricular arrhythmia). Additionally, 27.27% of children died as a consequence of bronchopneumonia, the same percentage died as a consequence of an acquired non-pulmonary disease or after surgery, and 18.18% died as a consequence of congenital malformations. Conclusions: Cardiac disease needs to be thoroughly investigated using multiple tools for all children presenting with heart failure symptoms, those with heart murmurs, and children scheduled for surgery of any type. The intensive care specialist and surgeon need to be aware of any heart pathology before non-cardiac surgical interventions.
TetraFLEX: Design and kinematic analysis of a novel self‐aligning family of 3T1R parallel manipulators

A new family of 3T1R parallel manipulators (PMs) with self‐aligning property, named TetraFLEX, is presented. 3T1R manipulators have many applications in different fields. Moreover, self‐aligning property refers to the presence of passive joints in the PM limbs that are conceived to compensate for possible misalignments between the sliding directions of the actuated prismatic(P)‐pairs. This property allows the fixation of the limbs in different frame geometries. Thus, this advantage broadens the PM applications to field robotics in several scenarios. Here, the position and singularity analyses of the new family of self‐aligning PMs is addressed with a unified approach. The results are that both the direct and the inverse position analyses have simple closed‐form solutions and that wide free‐from‐singularity regions of TetraFLEX PMs' workspace exist. The effectiveness of the technical proposal is also illustrated by discussing their design criteria and kinetostatics performances in a case study.
Phytoremediation Capability and Copper Uptake of Maize (Zea mays L.) in Copper Contaminated Soils

Copper is a frequently used heavy metal worldwide and known to be an essential micronutrient for most living organisms including plants. However, excessive levels of copper in soil may adversely affect plant growth and survival. The continuing introduction of copper to soil, e.g., through excessive utilization of agrochemicals has raised serious environmental concerns throughout the world. A variety of plants have the capability to eliminate pollutants from soil through different mechanisms; however, limited information is reported on phytoremediation potential of maize (Zea mays L.) and its uptake and the accumulation potential in copper-containing soils. The effects of additions of 0, 50, 100, 200 and 300 mg kg−1 of copper to soil on growth parameters of Z. mays, copper uptake from soil and accumulation in roots and shoots, and phytoremediation potential of Z. mays were investigated in this research. Copper content in soil and plant samples were determined using atomic absorption spectrophotometry. The addition of 50 mg kg−1 Cu stimulated Z. mays growth parameters, while higher content of Cu exhibited inhibitory effects of plant growth. Results indicated that roots accumulated significantly higher levels of Cu than shoots in all treatments, suggesting dominancy of phytostabilization mechanism in remediation of Cu-polluted soil by Z. mays. However, translocation of Cu from the roots to the aerial parts enhanced to some extent with copper level in soil. The greatest Cu accumulation capacity of 5210 µg per pot was gained in Z. mays cultivated in soil treated with 200 mg kg−1 copper. Results demonstrated that Z. mays can promisingly remediate low to moderately copper-contaminated soils.
Asynchronous telehealth visits for the treatment of overactive bladder

Abstract Objective: Overactive bladder affects 17% of women, and adherence to treatment is notoriously low. The objective of this pilot study is to investigate the efficacy and feasibility of the use of asynchronous telehealth visits for the treatment of women with overactive bladder. Methods: This is a pilot study of women who participated in the asynchronous telehealth program with a new diagnosis of overactive bladder presenting to the Massachusetts General Hospital from January of 2020 to March of 2021. Pre-post differences in Urogenital Distress Inventory score-6, and Incontinence Severity Index Scores were compared with paired t tests as coprimary endpoints. To assess potential mechanisms of association between asynchronous visits and patient-reported outcomes, total fluid intake, caffeinated beverage consumption, urinary frequency, episodes of urinary leakage were also compared as secondary endpoints. Results: A total of 23 women participated, with 50 e-visits completed. The first asynchronous visit was completed after a median of 42days (IQR 36, 51.5) from the initial visit. There was a decrease in the Urogenital Distress Inventory-6 score between the first asynchronous visit and the last (29 points, IQR 16, 37 vs 12 points, IQR 12, 25), respectively (P = 0.014). Similar findings were seen with the Incontinence Severity Index questionnaire, from three (IQR 2, 4) to three (IQR 1, 3) after the asynchronous visit (P = 0.002). Conclusion: We demonstrate the feasibility of asynchronous visits for the treatment of overactive bladder. Although our results suggest efficacy, given the prepost change in overactive bladder-related questionnaire scores following asynchronous visits, the comparative effectiveness of asynchronous visits versus regular care needs to be confirmed in a randomized trial. Video Summary:http://links.lww. com/MENO/A917.
Underweight in Child Aged 24-59 Months in North Sumatra: the 2014 Indonesia Family Life Survey Data

AbstractUnderweight has the biggest risk against burden of disease. The aim of the study was to determine the factors related with underweight in child aged 24-59 months lived in North Sumatra based on three characteristics caused an underweight; there are child characteristics, maternal characteristics, and parenting characteristics. This study used cross-sectional design and using chi-square statistical analysis. The sample used in this study was 280 child aged 24-59 months living in North Sumatra province, Indonesia. The data was obtained from 2014 Indonesian Family Life Survey collected by RAND Corporation. Prevalence of underweight in child aged 24-59 months lived in North Sumatra was 26% (Girls: 32,6%, Boys: 19,9%). The statistical analyses found that female child (OR 95% CI= 0,514: p=0,02), maternal low body mass index (OR 95% CI = 3,750: p=0,04) and cigarette expenditure (OR 95% CI = 1,800: p=0,040) contribute to underweight child aged 24-59 month in North Sumatra province. Child gender, maternal body mass index, and cigarette expenditure were the significant determinants for underweight in under-five children in North Sumatra. The intervention is necessary to be implemented by all parties to decrease the prevalence of underweight.AbstrakBerat badan kurang (underweight) memberikan risiko terbesar terhadap beban penyakit. Tujuan penelitian ini adalah mengetahui faktor yang berhubungan dengan kejadian underweight pada anak usia 24-59 bulan di Provinsi Sumatra Utara berdasarkan dengan tiga karakteristik, yakni karakteristik anak, ibu, dan pola asuh. Penelitian ini menggunakan desain studi potong lintang dan menggunakan analisis chi-square. Jumlah sampel yang digunakan sebanyak 280 anak berusia 24-59 bulan dan berdomisili di Sumatra Utara. Data yang digunakan berasal dari data Indonesia Family Life Survey tahun 2014 yang dikelola oleh RAND Corporation. Prevalensi kejadian underweight pada anak usia 24-59 bulan di Sumatra Utara sebesar 26% (perempuan: 32,6%, laki-laki: 19,9%). Analisis statistik menyatakan bahwa jenis kelamin perempuan (OR 95% CI= 0,514: p=0,02), indeks massa tubuh ibu yang rendah (OR 95% CI = 3,750: p=0,04) dan pengeluaran untuk rokok (OR 95% CI = 1,800: p=0,040) berkontribusi terhadap kejadian underweight pada anak usia 24-59 buan di Sumatra Utara. Jenis kelamin anak, indeks massa tubuh ibu, dan pengeluaran rokok merupakan faktor yang signifikan terhadap kejadian underweight pada anak usia di bawah lima tahun di Provinsi Sumatra Utara. Langkah intervensi diperlukan untuk dapat diimplementasikan oleh seluruh masyarakat untuk dapat menurunkan prevalensi kejadian underweight.
Depression in Tunisian University Residences and Its Links with Context, Metacognitive Beliefs and Alexithymia

Student life is full of transitions and challenges, it requires a combination of motivation and adaptation skills, otherwise it may lead to depression, which is the most observed psychological trouble among students in several countries. Knowing the "contagious" aspect of vulnerability to depression, one wonders how alarming the issue is in university residences. Our study aims to see how the student's interpretations of their own skills can be related to depression? Does the ability to express and understand his own emotions help to prevent depression? How might lifestyle and environment be related to depression in this context? Explicitly the objective is to explore the links between depression, metacognitive beliefs, alexithymia and student environment. We conducted a cross-sectional study on 79 students aged between 19 and 26 years from 07 university residences, depression was assessed through the Beck depression inventory, metacognitive beliefs through the metacognitions questionnaire and alexithymia through the Torrento alexithymia scale. We developed a 15-item socio-demographic questionnaire that explores the student's lifestyle and environment. As results,46.9% of students suffer from moderate to severe depression; 49.4% of them experience’s alexithymic disorders. Correlation analysis reveals that depression is significantly correlated to alexithymia and metacognitive beliefs. It is also significantly related to gender, sports and leisure activities. This study presents the (TAS-20) as a possible prognostic tool for depression in university residences. It can inspire future research related to depression in this context hoping to improve student wellness which is often reduced to summary and non-specific awareness campaigns
Leveraging a Joint learning Model to Extract Mixture Symptom Mentions from Traditional Chinese Medicine Clinical Notes

This paper addresses the mixture symptom mention problem which appears in the structuring of Traditional Chinese Medicine (TCM). We accomplished this by disassembling mixture symptom mentions with entity relation extraction. Over 2,200 clinical notes were annotated to construct the training set. Then, an end-to-end joint learning model was established to extract the entity relations. A joint model leveraging a multihead mechanism was proposed to deal with the problem of relation overlapping. A pretrained transformer encoder was adopted to capture context information. Compared with the entity extraction pipeline, the constructed joint learning model was superior in recall, precision, and F1 measures, at 0.822, 0.825, and 0.818, respectively, 14% higher than the baseline model. The joint learning model could automatically extract features without any extra natural language processing tools. This is efficient in the disassembling of mixture symptom mentions. Furthermore, this superior performance at identifying overlapping relations could benefit the reassembling of separated symptom entities downstream.
New Signature Scheme Based on Elliptic Curve and Factoring Problems Using Chaotic Map

Abstract In this paper, we present the new signature scheme based on elliptic curve (EC) and factoring (FAC) problems using chaotic maps (CMs). The newly developed scheme requires only minimal and low-complexity computations, which makes it very efficient. We compare our scheme with the other schemes with respect to signature generation cost, signature size, and verification cost and show that our scheme is superior to the other schemes. To the best of our knowledge, this is the first time a signature scheme based on EC and FAC problems using CMs has been proposed.
Biosynthesis of silver nanoparticles from Pseudomonas fluorescens and their antifungal activity against Aspergillus niger and Fusarium udum

In recent years, emerging plant diseases have posed a significant danger to global economies. Fungicide resistance and climate change are the two primary sources of pathogen outbreaks. The silver nanoparticles have been demonstrated to restrain pathogenic bacteria, fungi, and viruses with minimal risk of developing resistance and phytotoxicity. The synthesis of silver nanoparticles via chemical and physical methods raises concerns about environmental safety and production costs. The microbial bio-fabrication of silver nanoparticles is simple, cost-effective, and ready-to-use technology. In the current investigation, we used Pseudomonas fluorescens cell filtrates for the synthesis of silver nanoparticles. The silver nanoparticles were characterized using Dynamic Light Scattering (DLS), zeta potential (ζ), UV-Vis spectroscopy, SPR analysis, Transmission Electron Microscopy. Both silver nanoparticles and AgNO3 were tested for their ability to inhibit two phytopathogenic fungi, i.e., Fusarium udum and Aspergillus niger. Potent inhibition of mycelial growth was observed when silver nanoparticles were used at a concentration of 150 ppm. However, further research is needed to assess the toxicity of AgNPs before they are mass-produced and used in agricultural applications.
Characterization and reliability of blue and white GaN-based LEDs submitted to current and thermal stress

The aim of this thesis work is to analyze reliability of blue and white GaN-based commercial LEDs. Reliability is indeed one of the key factors for devices success in the market of lighting solutions. Temperature and driving current are the main causes of degradation of LEDs. In order to understand the degradation mechanisms of these devices two types of stresses have been carried out, current and thermal stress and pure thermal stress, and electrical, optical and thermal measurements have been performed. The results obtained at the end of this work show several types of degradation mechanisms which influence LEDs both electrical and optical properties / Caratterizzazione e affidabilita di LED blu e bianchi basati su nitruro di gallio sottoposti a stress in corrente ed in temperatura
A Digital Perspective on Entrepreneurship

The wider impact of digital technologies on entrepreneurship has only recently begun to surface in the entrepreneurship literature. This situation invites for re-examining theory on digital technologies and theory on entrepreneurship while at the same time asking where to find critical bridging points that may allow for integrating the two domains. This paper answers this question by reviewing and subsequently analyzing core constituents of digital entrepreneurship and its modus operandi. Our analyses show that digital entrepreneurship not only involves entrepreneurial agency and digital technologies, it also affects previous conceptualizations of artifacts and of its modus operandi by applying a broader repertory of architectural arrangements. This implies that the employment of digital technologies in entrepreneurial ventures has effects that go well beyond using digital technology as a means-to-an-end. Before closing, implications for future research and relevant policy makers will be briefly sketched out.
INCORPORATING MACHINE VISION IN PRECISION DAIRY FARMING TECHNOLOGIES

OF DISSERTATION INCORPORATING MACHINE VISION IN PRECISION DAIRY FARMING TECHNOLOGIES The inclusion of precision dairy farming technologies in dairy operations is an area of increasing research and industry direction. Machine vision based systems are suitable for the dairy environment as they do not inhibit workflow, are capable of continuous operation, and can be fully automated. The research of this dissertation developed and tested 3 machine vision based precision dairy farming technologies tailored to the latest generation of RGB+D cameras. The first system focused on testing various imaging approaches for the potential use of machine vision for automated dairy cow feed intake monitoring. The second system focused on monitoring the gradual change in body condition score (BCS) for 116 cows over a nearly 7 month period. Several proposed automated BCS systems have been previously developed by researchers, but none have monitored the gradual change in BCS for a duration of this magnitude. These gradual changes infer a great deal of beneficial and immediate information on the health condition of every individual cow being monitored. The third system focused on automated dairy cow feature detection using Haar cascade classifiers to detect anatomical features. These features included the tailhead, hips, and rear regions of the cow body. The features chosen were done so in order to aid machine vision applications in determining if and where a cow is present in an image or video frame. Once the cow has been detected, it must then be automatically identified in order to keep the system fully automated, which was also studied in a machine vision based approach in this research as a complimentary aspect to incorporate along with cow detection. Such systems have the potential to catch poor health conditions developing early on, aid in balancing the diet of the individual cow, and help farm management to better facilitate resources, monetary and otherwise, in an appropriate and efficient manner. Several different applications of this research are also discussed along with future directions for research, including the potential for additional automated precision dairy farming technologies, integrating many of these technologies into a unified system, and the use of alternative, potentially more robust machine vision cameras.
Google Earth-aided visualization and interpretation of geochemical survey data

Geochemical prospecting is an important and effective approach for discovering mineral deposits. Collection, management, visualization, interpretation, modelling and publishing of geochemical survey data remain challenging. The main aim of this study is to illustrate the application of Google Earth in the visualization and interpretation of geochemical survey data using a dataset collected from the Daqiao district, Gansu Province, China. Google Earth, a free web-based program that provides a rich set of global images along with satellite and map data, can be applied to design geochemical sampling strategies, display geochemical sampling location landscapes, collect and manage geochemical survey data, visualize and publish 0D (point), 1D (profile), 2D (raster map) and 3D (superposition of multiple maps) geochemical maps, and interpret and model geochemical patterns using various Google Earth functions and the Keyhole Markup Language. Thematic collection: This article is part of the Applications of Innovations in Geochemical Data Analysis collection available at: https://www.lyellcollection. org/cc/applications-of-innovations-in-geochemical-data-analysis
Improving users’ product acceptability: an approach based on Bayesian networks and a simulated annealing algorithm

Developing products that are properly suited to users’ needs and preferences in order to be accepted is one of the main challenges designers and engineers face constantly. Evaluating and improving users’ product acceptability has become an important research question. Many approaches leave the acceptability evaluation question for the last phases of the New Product Development process (NPD), when an almost finished prototype is available and when there is no time left for important modifications. In the early phase of the NPD process, the project managers need models and methods to evaluate the potential acceptability of the new concept and if required, to define actions to improve this concept. In this paper, a method with two main goals is proposed to tackle this problem. Its first goal consists in evaluating an index of users’ product acceptability. When this index is too low, the second goal concerns the optimal selection of the most appropriate actions (improvement scenario) to increase this previously assessed index and to optimise the supplementary cost. As information collected from users in the early phase is subject to uncertainty, the proposed method exploits the inference properties of Bayesian networks making it possible to make useful estimations of the acceptability index. Furthermore, the improvement scenarios are composed of actions that make it possible to improve different criteria composing the users’ acceptability index. The improvement problem is formulated as an optimisation problem to be solved by a simulated annealing algorithm. In order to illustrate its interest, the proposed method is applied to a real case concerning the design of a medical-stocking threading device.
Estimation of source parameters and scaling relations for local earthquakes of Lohit Valley in Arunachal Himalaya, Northeast India

We estimate the source parameters (stress drop, corner frequency, source radius and scalar seismic moment) for local earthquakes that occurred during 2007–2008 in the Lohit Valley, Arunachal Himalaya in northeast India. The source parameters of 33 selected earthquakes (2.0 ≤ ML ≤ 4.4) are estimated by spectral analysis of P‐waves of the vertical component. The results are authenticated further by spectral analysis of S‐waves of horizontal component seismograms. Both P‐ and S‐wave spectral analyses show comparable results. The earthquakes' seismic moment varies from 2.66 × 1012 to 1.16 × 1015 N.m. The estimates of stress drop and source radius range from ~0.145 to 31.85 bar and ~242 to 647 m, respectively. The majority of the earthquakes show a low‐stress drop (≤10 bar). We interpret that the low‐stress drop is plausibly due to the presence of creeping patches in the thrust sheets in the study area within the upper ~10 km depth, which is not able to withstand much stress and release it in the forms of micro‐earthquakes. The scaling relations have been developed between important source parameters (ML, Mw, M0, ∆σ, and fc), which can serve as useful inputs for the assessment of earthquake hazards in the region.