Miracle-dz/UniFAR-FTUs huggingface dataset:
Prenatal diagnosis of placenta accreta spectrum

Purpose of review Placenta accreta spectrum (PAS) is a major cause of severe maternal morbidity. Perinatal outcomes are significantly improved when PAS is diagnosed prenatally. However, a large proportion of cases of PAS remain undiagnosed until delivery. Recent findings The prenatal diagnosis of PAS requires a high index of suspicion. The first step is identifying maternal risk factors. The most significant risk factor for PAS is the combination of a prior caesarean delivery and a placenta previa. Other major risk factors include a prior history of PAS, caesarean scar pregnancy (CSP), uterine artery embolization (UAE), intrauterine adhesions (Asherman syndrome) and endometrial ablation. Ultrasound is the preferred imaging modality for the prenatal diagnosis of PAS and can be highly accurate when performed by a provider with expertise. PAS can be diagnosed on ultrasound as early as the first trimester. MRI may be considered as an adjunct to ultrasound imaging but is not routinely recommended. Recent consensus guidelines outline the ultrasound and MRI markers of PAS. Summary Patients with major risk factors for PAS warrant dedicated ultrasound imaging with a provider experienced in the prenatal diagnosis of PAS.
Adsorption studies on coir pith for heavy metal removal

Abstract Biosorption efficiency of coir pith, a waste product from coir industry, was investigated in this study for the removal of metallic pollutants such as Ni, Cu and Zn from aqueous solutions. The disposal of coir pith is a major problem associated with the coir industries, especially working in the small-scale sector. The present study explores the effectiveness of utilization of coir pith, an accumulating waste, as a biosorbent for heavy metal removal. Batch mode studies were done to evaluate the efficiency of removal of metals under varying adsorption conditions of pH, metal concentration and contact time. Characterization studies of the biosorbent and SEM analysis were done. Kinetic modelling studies were tried using Lagergren pseudo-first-order and second-order models. Equilibrium studies were done using well-known Freundlich, Langmuir and D–R isotherm models. It was found that all isotherms are fitting well indicating the efficiency of coir pith as an adsorbent of heavy metals. The applicability of all the three isotherms to the sorption processes shows that both monolayer adsorption and heterogeneous energetic distribution of active sites on the surface of the adsorbent are possible. Due to the abundance and low cost of these materials, adsorption technologies developed can act as good sustainable options for the future in heavy metal removal from industrial effluents.
Electrical and Low Frequency Noise Characterization of Graphene Chemical Sensor Devices Having Different Geometries

Chemiresistive graphene sensors are promising for chemical sensing applications due to their simple device structure, high sensitivity, potential for miniaturization, low-cost, and fast response. In this work, we investigate the effect of (1) ZnO nanoparticle functionalization and (2) engineered defects onto graphene sensing channel on device resistance and low frequency electrical noise. The engineered defects of interest include 2D patterns of squares, stars, and circles and 1D patterns of slots parallel and transverse to the applied electric potential. The goal of this work is to determine which devices are best suited for chemical sensing applications. We find that, relative to pristine graphene devices, nanoparticle functionalization leads to reduced contact resistance but increased sheet resistance. In addition, functionalization lowers 1/f current noise on all but the uniform mesa device and the two devices with graphene strips parallel to carrier transport. The strongest correlations between noise and engineering defects, where normalized noise amplitude as a function of frequency f is described by a model of AN/fγ, are that γ increases with graphene area and contact area but decreases with device total perimeter, including internal features. We did not find evidence of a correlation between the scalar amplitude, AN, and the device channel geometries. In general, for a given device area, the least noise was observed on the least-etched device. These results will lead to an understanding of what features are needed to obtain the optimal device resistance and how to reduce the 1/f noise which will lead to improved sensor performance.
DISTRIBUTED METAGRAPH DBMS BASED ON BLOCKCHAIN TECHNOLOGY

В статье приводятся архитектурные и технические решения, принятые в ходе исследовательского проекта по разработке метаграфовой СУБД с групповым подтверждением вносимых данных. Для этой СУБД рассмотрены различные варианты реализации метаграфовой модели, выбран реляционный подход и предложена даталогическая модель, состоящая из шести таблиц. В качестве среды хранения выбрана PostgreSQL. Приведены оценки сложности и обзор возможных ограничений реализации физической модели хранения метаграфа на программном уровне, выбрано решение на основе списков смежности. Для обеспечения высокой скорости доступа на чтение используется распределенное хранение и распространение копий базы данных на основе технологии блокчейн с алгоритмом консенсуса Proof of Stake, что позволяет обеспечить высокий уровень защиты базы данных от несанкционированных изменений. Предложены структуры данных для хранения изменений БД в рамках последовательности записей блокчейн. Выбран стойкий алгоритм проверки и подписания транзакции. В заключении рассмотрены направления дальнейших исследований и условия использования результатов исследования при проектировании и разработке индустриальных программных продуктов. The article provides architectural and technical solutions adopted within a research project to develop a metagraph DBMS with a group confirmation of the entered data. For this DBMS, various options for implementing the metagraph model are considered, a relational approach is chosen, and a logical data model consisting of six tables is proposed. PostgreSQL was chosen as the storage environment. Estimates of the complexity and an overview of possible limitations of the implementation of the physical model of storing the metagraph at the software level are given; a solution based on adjacency lists is chosen. To ensure high speed of read access, distributed storage and distribution of database copies based on blockchain technology with the Proof of Stake consensus algorithm is used, which ensures a high level of database protection against unauthorized changes. Data structures are proposed for storing database changes within a sequence of blockchain records. A robust algorithm for verifying and signing the transaction has been selected. In conclusion, the directions of further research and the conditions for using the research results in the design and development of industrial software products are considered.
Transcranial Direct Current Stimulation on Different Targets to Modulate Cortical Activity and Dual-Task Walking in Individuals With Parkinson’s Disease: A Double Blinded Randomized Controlled Trial

Background Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation to modulate cortical activity for improving motor function. However, the information of tDCS stimulation on different brain regions for dual-task walking and cortical modulation in Parkinson’s disease (PD) has not yet been compared. Objective The objective of this study was to investigate the effects of different tDCS targets on dual-task gait performance and cortical activity in patients with PD. Methods A total of 36 participants were randomly assigned to primary motor cortex (M1) tDCS, dorsal lateral prefrontal cortex (DLPFC) tDCS, cerebellum tDCS, or Sham tDCS group. Each group received 20 min of tDCS stimulation, except for the Sham group. Gait performance was measured by the GAITRite system during dual-task walking and single walking. Corticomotor activity of the tibialis anterior (TA) was measured using transcranial magnetic stimulation (TMS). The functional mobility was assessed using the timed up and go (TUG) test. Results All participants showed no significant differences in baseline data. Following the one session of tDCS intervention, M1 (p = 0.048), DLPFC (p < 0.001), and cerebellum (p = 0.001) tDCS groups demonstrated significant improvements in dual-task gait speed compared with a pretest. The time × group interaction [F(3, 32) = 5.125, p = 0.005] was detected in dual-task walking speed. The post hoc Tukey’s test showed that the differences in gait speed were between the Sham tDCS group and the DLPFC tDCS group (p = 0.03). Moreover, DLPFC tDCS also increased the silent period (SP) more than M1 tDCS (p = 0.006) and Sham tDCS (p = 0.002). Conclusion The results indicate that DLPFC tDCS exerted the most beneficial effects on dual-task walking and cortical modulation in participants with PD. Clinical trial registration [http://www.thaiclinicaltrials. org/show/TCTR20200909005], Thai Clinical Trials Registry [TCTR20200909005].
Computerized emotional content analysis: empirical findings based on charity social media advertisements

Abstract There has been a long debate about effective emotional appeals on charity advertisements. While many charity organizations recently shifted from negative emotions to happy emotions on their social media, it is not clearly proven whether this strategy is more effective. The objective of this study is to find more detailed unknown information to optimally use emotional charity advertisements on social media. We investigate the effect of 1) emotional valence, 2) their match between images and textual descriptions, 3) their length, and 4) their post timing on social media engagement. By automatically extracting emotions expressed both in facial images and textual descriptions from 3,066 charity posts from Save the Children’s official Instagram account using the computerized emotional content analysis, we provide findings on what, how much, when, and how charity managers can come up with a clear configuration for their social media advertisements.
The Gut Microbiome in Psoriasis and Crohn’s Disease: Is Its Perturbation a Common Denominator for Their Pathogenesis?

Psoriasis and inflammatory bowel disease (IBD), including ulcerative colitis (UC) and Crohn’s disease (CD), are interlinked. In fact, the prevalence of IBD is higher in patients with psoriasis, with a risk of ulcerative colitis of 1.6-times higher than in the general population. Analogously, patients with psoriasis have a greater risk of developing IBD. Furthermore, they share some clinical features and pathogenic mechanisms. Both are chronic inflammatory diseases with a relapsing-remitting condition that persists for the patient’s whole life and exhibit increased permeability of the mucosal barrier of skin and gut, allowing an increased interaction of pathogens with inflammatory receptors of the immune cells. A key element in the pathogenesis of these diseases is represented by the microbiota; in particular, the gut microbiota is an important driver of CD pathogenesis, while in psoriasis changes in gut and skin microbiota have been described without a defined pathogenic function. Furthermore, genetic predispositions or environmental factors contribute to disease manifestation, with a central role attributed to the immune responses and, in particular, to a dysregulated role played by T helper 17 cells both in psoriasis and IBD. The purpose of this review was to summarize present information about the links between psoriasis, inflammatory bowel disease, in particular Crohn’s disease, and changes in gut and/or skin microbiome.
Molecular Prevalence of Entamoeba Species among Diarrheal Patients in Eastern Kenya

Data on the epidemiology of Entamoeba infections in Eastern part of Kenya is scanty. Diagnostic tests in use have limited capacity to differentiate common infecting species. The performance of Polymerase Chain Reaction (PCR) to differentiate between pathogenic Entamoeba histolytica and two nonpathogenic species E. dispar and E. moshkovskii is largely undetermined. Therefore, this study sought to determine the prevalence and associated factors for Entamoeba infections and evaluate the performance of PCR to differentiate Entamoeba complex species among diarrheal patient in Eastern region of Kenya. Stool samples were obtained from 400 patients attending Meru Teaching and Referral Hospital (MTRH) presenting with diarrhea. Samples were processed by direct wet mount using normal saline and iodine stain for microscopic examination. Entamoeba species differentiation was done using PCR targeting the 16S rRNA gene. A total of 33 (8.3%) samples had Entamoeba cysts/trophozoites by microscopy while 29 (7.3%) were identified as E. histolytica by PCR. Entamoeba infections was most common among adults 23 (5.8%) and in females 20(5%). The sensitivity of microscopy was 29/29 (100%; 95% CI 88.1% - 100%) with a specificity 367/371 (98.9%; 95% CI 97.3 % - 99.7%). In multivariate analysis, factors that independently influenced Entamoeba infection included sources of drinking water, use of toilet with water, regular use of soap or sanitizer, having diarrhea that persists for two weeks and stool consistency. Entamoeba infection was found to be responsible for most diarrhea condition especially among children. Patients hygienic and sanitation characteristics contributes significantly to Entamoeba infection. The performance of microscopy to detect Entamoeba infection is comparable to those of PCR except for the lack of species differentiation. Molecular species differentiation will improve disease diagnosis, control and management. Continuous monitoring of patient presenting with diarrhea for Entamoeba infection would improve treatment outcomes.
Extracts from Environmental Strains of Pseudomonas spp. Effectively Control Fungal Plant Diseases

The use of synthetic chemical products in agriculture is causing severe damage to the environment and human health, but agrochemicals are still widely used to protect our crops. To counteract this trend, we have been looking for alternative strategies to control plant diseases without causing harm to the environment or damage to our health. However, these alternatives are still far from completely replacing chemical products. Microorganisms have been widely known as a biological tool to control plant diseases, but their use is still limited due to the high variability in their efficacy, together with issues in product registration. However, the metabolites produced by these microorganisms can represent a novel tool for the environment-friendly management of plant diseases, while reducing the issues mentioned above. In this study, we explore the soil microbial diversity in natural systems to look for microorganisms with the potential to be used in pre- and post-harvest protection against fungal plant pathogens. Using a simple workflow, we isolated 22 bacterial strains that were tested both in vitro and in vivo for their ability to counteract the growth of common plant pathogens. The three best isolates, identified as members of the bacterial genus Pseudomonas, were used to produce a series of alcoholic extracts, which were then tested for their action against plant pathogens in simulated real-world applications. Results show that extracts from these isolates have an exceptional biocontrol activity and can be successfully used to control plant pathogens in operational setups. Thus, this study shows that the environmental microbiome is an important source of microorganisms producing metabolites that might provide an alternative strategy to synthetic chemical products.
2.5 mW 2.73 GHz non-overlapping multi-phase clock generator with duty-cycle correction in 0.13 µm CMOS

A high-speed low power multi-phase clock generator with a simple duty-cycle correction circuit is presented. By adding tail transistors driven by the out-phase signal as a discharge path to correct the phase overlapping in the conventional design, 25% duty cycle multi-phase clocks are obtained with <1° phase error. Thanks to this simple topology, the proposed work is featured with fast-speed, low power with a small silicon area. Fabricated in a 0.13 µm RF CMOS process, the proposed clock generator has a measured operating frequency up to 2.73 GHz with a maximum power consumption of 2.5 mW from a 1.2 V supply.
Blind interference alignment: A comprehensive survey

Interference is a crucial impairment for trustworthy wireless communication. To overcome this interference problem, many interference management strategies have been established. Interference alignment (IA) is one such significant interference management approach that handles the positioning of signals so that they form an overlapping shadow at the unintended receivers; the desired interference‐free signals remain separable at the intended receivers. However, the need for global channel state information at the transmitter (CSIT) acts as a practical limitation for IA in the real‐world wireless communication system. IA can mitigate this limitation associated with channel state information with no CSIT, also termed as blind IA (BIA). Therefore, BIA is an interference management strategy that utilizes the concept of IA with no knowledge of CSIT. Therefore, based on the plethora of prevailing significant works, the objective of our paper is to provide a comprehensive survey to draw a picture of BIA in terms of network topologies, applications in different networks, trending research areas, degrees of freedom (DoF), open‐research problems, and future research directions.
THE RELIGION-DEVELOPMENT DOMAIN OF WAHANA VISI INDONESIA CONCERNING CHILD EDUCATION IN ALOR – EAST NUSA TENGGARA

This study tries to explain the role of faith-based organizations in achieving Sustainable Development Goals (SDGs) in Indonesia by showing the role of Wahana Visi Indonesia in education. Claiming themselves as Christian Faith-Based Organization that works according to the Christian Faith (Iman Kristen), WVI has huge impact on the sustainable development in Indonesia, including the education. By focusing this study to the case of Wahana Visi Indonesia (WVI), author aims to explain profoundly the effect religious actor has in development, particularly child education in Alor – East Nusa Tenggara. This study uses qualitative methods and literature study as an approach, in which authors did one-on-one interview as data collection technique, and examine through critical analysis to develop initial understanding in specified areas: religion and development and education. On the ground of major role of WVI as faith-based organization in the issue of SDGs, the author will discuss it accordingly in two main analysis as follows, the nexus of faith and development in Wahana Visi Indonesia in education field. Secondly, the author will examine the encounter and engagement that happened between religious actors (national and international), International Organizations, religious-affiliated schools and churches to understand how FBO operates in international development to achieve more effective and efficient in developing advocacy within religious-civil-society in Indonesia. Final result showed that religious is transformational, seen from the dynamic in three levels (macro-level, meso-level, micro-level) which outlined the progress of Wahana Visi Indonesia in intensifying child education in Alor – East Nusa Tenggara. The study concludes that Wahana Visi Indonesia as Faith-Based Organizations has successfully aligned ‘Christian Faith’ without the aim of proselytization in the realm of Child Education, as it works as catalyst of development for which it has influenced people-centered development regarding child education. It proves that WVI is catalyst to development, and study case of Alor – East Nusa Tenggara is an evidence how ‘faith’, ‘dialogue’ and ‘networks in religion-development domain’ has successfully made significant contribution in improving child education.
Groundwater quality evaluation for potable and irrigation uses in the semi‐arid region of southern Iran

Iran is in a serious freshwater shortage crisis because its major part is located in arid and semi‐arid areas. This research evaluated the groundwater quality in terms of potable and irrigation uses in the wet and dry seasons in the Kazeroon plain, southern Iran. In this study, a total of 408 groundwater samples were gathered from 68 boreholes to measure water quality indices, such as acidity (pH), electrical conductivity (EC), total dissolved solids (TDS), total hardness (TH), bicarbonate (HCO3−), chloride (Cl−), sulphate (SO42−), calcium (Ca2+), magnesium (Mg2+), sodium (Na+) and potassium (K+). Geographical information system technology was also applied to draw maps of spatial changes of water quality parameters. The results showed that groundwater quality indices had the minimum and maximum values of pH (6.9–8.6), EC (414–9,813 μmho cm−1) and TDS (278–6,180), TH (175–3250), HCO3− (152–518), Cl− (5–1950), SO42− (17–2371), Ca2+ (30–681), Mg2+ (12–607), Na+ (1–1303) and K+ (0.8–18) (mg L−1). Based on World Health Organization standards, the results indicated that all of the aquifer water in the plain except for the northern region was of poor and very poor quality for potable usages. Also, the United States Salinity Laboratory diagram showed that the groundwater quality is doubtful for irrigation. Therefore, the cultivation pattern in this plain should be switched towards salt‐tolerant crops.
Doublecortin in the Fish Visual System, a Specific Protein of Maturing Neurons

Simple Summary Doublecortin (DCX) is an essential protein in the development of the central nervous system and in lamination of the mammalian cortex. It is known that the expression of DCX is restricted to newborn neurons. The visual system of teleost fish has been postulated as an ideal model since it continuously grows throughout the animal’s life. Here, we report a comparative expression analysis of DCX between two teleost fish species as well as a bioinformatic analysis with other animal groups. Our results demonstrate that DCX is very useful for identifying new neurons in the visual systems of Astatotilapia burtoni, but is absent in Danio rerio. Abstract Doublecortin (DCX) is a microtubule associated protein, essential for correct central nervous system development and lamination in the mammalian cortex. It has been demonstrated to be expressed in developing—but not in mature—neurons. The teleost visual system is an ideal model to study mechanisms of adult neurogenesis due to its continuous life-long growth. Here, we report immunohistochemical, in silico, and western blot analysis to detect the DCX protein in the visual system of teleost fish. We clearly determined the expression of DCX in newly generated cells in the retina of the cichlid fish Astatotilapia burtoni, but not in the cyprinid fish Danio rerio. Here, we show that DCX is not associated with migrating cells but could be related to axonal growth. This work brings to light the high conservation of DCX sequences between different evolutionary groups, which make it an ideal marker for maturing neurons in various species. The results from different techniques corroborate the absence of DCX expression in zebrafish. In A. burtoni, DCX is very useful for identifying new neurons in the transition zone of the retina. In addition, this marker can be applied to follow axons from maturing neurons through the neural fiber layer, optic nerve head, and optic nerve.