bluuebunny/crossref_metadata_2025 huggingface dataset:
Linking the European Organisation for Research and Treatment of Cancer Item Library to the Common Terminology Criteria for Adverse Events
Authors: Gilbert Alexandra , Piccinin Claire , Velikova Galina , Groenvold Mogens , Kuliś Dagmara , Blazeby Jane M. , Bottomley Andrew
Published: August 2022

PURPOSE

The European Organisation for Research and Treatment of Cancer (EORTC) Item Library is an interactive online platform currently composed of 950 unique items (questions) derived from 67 patient-reported outcome (PRO) questionnaires. PROs complement clinician adverse event (AE) reporting classifications like the Common Terminology Criteria for Adverse Events (CTCAE). This work aims to create a standardized framework using the CTCAE to systematically classify symptomatic AEs from the EORTC Item Library through linking individual items to corresponding AEs.

METHODS

The EORTC Item Library items were searched for within the CTCAE (v5.0) and linked to an AE if they were described within the AE's title, description, or grading. Symptoms described in EORTC items but not located in the CTCAE were coded as missing symptoms. Other nonsymptom EORTC items, not described within the CTCAE were assigned a non-CTCAE descriptive classification. Further descriptive codes (eg, multiple issues) were allocated to enable descriptive analysis. Two raters independently coded 26.2% (n = 249) of the items. The remaining 701 items were coded by one rater and verified by the second, followed by discussion with two additional raters to reach consensus.

RESULTS

Overall, 625 (65.8%) EORTC items were linked to 208 different AEs. Three hundred sixty-nine items provide information about non-CTCAE cancer–related issues and were categorized into seven descriptive classifications, including body image; emotional impact of a symptom, diagnosis, or treatment; global health and quality of life; and impact on life and daily activities. Inter-rater agreement for independent coding was 79.1%. Bowel urgency and tenesmus were identified as missing symptoms in CTCAEv5.0.

CONCLUSION

The EORTC Item Library provides considerable coverage of CTCAE toxicities, along with other complementary issues important to patients with cancer. Using the CTCAE clinical framework to classify symptomatic PRO items may facilitate PRO selection and use in clinical trials and routine care.
Experimental observation of periodic Korteweg-de Vries solitons along a torus of fluid
Authors: Novkoski Filip , Pham Chi-Tuong , Falcon Eric
Published: August 2022

We report on the experimental observation of solitons propagating along a torus of fluid. We show that such a periodic system leads to significant differences compared to the classical plane geometry. In particular, we highlight the observation of subsonic elevation solitons, and a nonlinear dependence of the soliton velocity on its amplitude. The soliton profile, velocity, collision, and dissipation are characterized using high-resolution space-time measurements. By imposing periodic boundary conditions onto the Korteweg-de Vries (KdV) equation, we recover these observations. A nonlinear spectral analysis of solitons (periodic inverse scattering transform) is also implemented and experimentally validated in this periodic geometry. Our work thus reveals the importance of periodicity for studying solitons and could be applied to other fields involving periodic systems governed by a KdV equation.
MARK2 and MARK4 Regulate Sertoli Cell BTB Dynamics Through Microtubule and Actin Cytoskeletons
Authors: Tang Elizabeth I , Cheng C Yan
Published: August 2022

Microtubule affinity-regulating kinases (MARKs) are nonreceptor Ser/Thr protein kinases known to regulate cell polarity and microtubule dynamics in Caenorhabditis elegans, Drosophila, invertebrates, vertebrates, and mammals. An earlier study has shown that MARK4 is present at the ectoplasmic specialization and blood-testis barrier (BTB) in the seminiferous epithelium of adult rat testes. Here, we report the function of MARK4 and another isoform MARK2 in Sertoli cells at the BTB. Knockdown of MARK2, MARK4, or MARK2 and MARK4 by RNAi using the corresponding siRNA duplexes without apparent off-target effects was shown to impair tight junction (TJ)-permeability barrier at the Sertoli cell BTB. It also disrupted microtubule (MT)- and actin-based cytoskeletal organization within Sertoli cells. Although MARK2 and MARK4 were shown to share sequence homology, they likely regulated the Sertoli cell BTB and MT cytoskeleton differently. Disruption of the TJ-permeability barrier following knockdown of MARK4 was considerably more severe than loss of MARK2, though both perturbed the barrier. Similarly, loss of MARK2 affected MT organization in a different manner than the loss of MARK4. Knockdown of MARK2 caused MT bundles to be arranged around the cell periphery, whereas knockdown of MARK4 caused MTs to retract from the cell edge. These differences in effects on the TJ-permeability barrier are likely from the unique roles of MARK2 and MARK4 in regulating the MT cytoskeleton of the Sertoli cell.
Staple Security
Authors: Barnes Jessica
Published: August 2022

Egyptians often say that bread is life; most eat this staple multiple times a day, many relying on the cheap bread subsidized by the government. In Staple Security, Jessica Barnes explores the process of sourcing domestic and foreign wheat for the production of bread and its consumption across urban and rural settings. She traces the anxiety that pervades Egyptian society surrounding the possibility that the nation could run out of wheat or that people might not have enough good bread to eat, and the daily efforts to ensure that this does not happen. With rich ethnographic detail, she takes us into the worlds of cultivating wheat, trading grain, and baking, buying, and eating bread. Linking global flows of grain and a national bread subsidy program with everyday household practices, Barnes theorizes the nexus between food and security, drawing attention to staples and the lengths to which people go to secure their consistent availability and quality.
Extracranial-to-Intracranial Bypass for Distal Internal Carotid Artery and/or Proximal Middle Cerebral Artery Steno-Occlusive Disease: A Case Series of Clinical Outcomes at a Single, High-Volume Cerebrovascular Center
Authors: Housley Steven B. , Vakharia Kunal , Gong Andrew D. , Waqas Muhammad , Rho Kyungduk , Levy Elad I. , Davies Jason M. , Siddiqui Adnan H.
Published: August 2022

BACKGROUND:

Extracranial-to-intracranial (EC–IC) bypass was first described by Yasargil in the 1960s for treatment of symptomatic distal internal carotid artery (ICA) and/or proximal middle cerebral artery (MCA) steno-occlusive disease through direct anastomosis. Subsequent bypass trials failed to demonstrate benefit for overall outcomes and stroke rates compared with best medical therapy. However, the procedure remained in the neurosurgeon's armament, with studies showing benefits in select patient populations. With advancements in technology, patient selection has become more comprehensive.

OBJECTIVE:

To provide a contemporary evaluation of EC–IC bypass from our high-volume cerebrovascular center, focusing on associated clinical outcomes.

METHODS:

Consecutive patients who underwent direct EC–IC bypass surgeries for symptomatic distal ICA and/or proximal MCA steno-occlusive disease between April 2015 and September 2019 were identified retrospectively. Medical records were reviewed to collect demographics, clinical presentation, computed tomography perfusion imaging findings, transcranial Doppler results, procedure indication, donor vessel types, anastomosis site, bypass patency, periprocedural complications, postprocedural complications, symptom recrudescence, repeat or new interventions, subjective improvements, and modified Rankin Scale scores.

RESULTS:

We identified 27 patients who underwent 32 EC–IC bypass procedures. The rate of ipsilateral stroke was 9.4%, with a median follow-up of 8 months (IQR, 4-13 months). Patients experienced a 22.3% improvement in modified Rankin Scale scores, and 70.3% of patients reported subjective improvement and satisfaction at follow-up.

CONCLUSION:

Direct EC–IC bypass remains a viable option for revascularization in symptomatic patients with distal ICA and/or proximal MCA steno-occlusive disease.
Novel Use of the Aurora Surgiscope System for Minimally Invasive Resection of Intraparenchymal Lesions: A Case Series
Authors: Achey Rebecca L. , Soni Pranay , Kashkoush Ahmed , Davison Mark , Kondylis Efstathios , Moore Nina , Bain Mark
Published: August 2022

BACKGROUND:

Minimally invasive surgery (MIS) for intracranial pathology minimizes surgical morbidity but can come at the cost of operator ergonomics and technical surgical success. Here, the authors present a case series to report the first use of a novel 15-mm tubular retraction system with integrated lighting and visualization capabilities for MIS access to intracranial lesions.

OBJECTIVE:

To demonstrate feasibility and effectiveness of the 15-mm Aurora Surgiscope (Integra Lifesciences) for intracranial MIS approaches.

METHODS:

The 15-mm Aurora Surgiscope facilitated MIS approach to gain access to intraparenchymal pathologies. The device consists of a tubular access system with integrated light source and a reusable control unit that modifies video parameters. The port was inserted along a preplanned trajectory through a mini-craniotomy. Bimanual access allowed the surgeon to comfortably dissect/resect lesional tissue using high-quality video.

RESULTS:

Four patients are presented. In cases 1 and 2, the authors evacuated acute intracerebral hemorrhages. Both had <15 cc hemorrhage with improved or stable neurological examination. In case 3, the authors performed gross total resection of a cerebellar pilocytic astrocytoma. In case 4, the authors resected a mesial posterior temporal cavernoma. No perioperative/technical complications were noted.

CONCLUSION:

The Aurora Surgiscope system is a novel integrated tubular retraction, lighting, and visualization system that allows access to a wide variety of pathologies using a MIS approach. The Surgiscope allows the surgeon to use bimanual dexterity through a small access port while limiting the need for additional equipment such as microscope, exoscope, or endoscope.
Clonal behaviour of myogenic precursor cells throughout the vertebrate lifespan
Authors: Hughes Simon M. , Escaleira Roberta C. , Wanders Kees , Koth Jana , Wilkinson David G. , Xu Qiling
Published: August 2022

To address questions of stem cell diversity during skeletal myogenesis, a Brainbow-like genetic cell lineage tracing method, dubbed Musclebow2, was derived by enhancer trapping in zebrafish. It is shown that, after initial formation of the primary myotome, at least 15 muscle precursor cells (mpcs) seed each somite, where they proliferate but contribute little to muscle growth prior to hatching. Thereafter, dermomyotome-derived mpc clones rapidly expand while some progeny undergo terminal differentiation, leading to stochastic clonal drift within the mpc pool. No evidence of cell-lineage-based clonal fate diversity was obtained. Neither fibre nor mpc death was observed in uninjured animals. Individual marked muscle fibres persist across much of the lifespan indicating low rates of nuclear turnover. In adulthood, early-marked mpc clones label stable blocks of tissue comprising a significant fraction of either epaxial or hypaxial somite. Fusion of cells from separate early-marked clones occurs in regions of clone overlap. Wounds are regenerated from several local mpcs; no evidence for specialised stem mpcs was obtained. In conclusion, our data indicate that most mpcs in muscle tissue contribute to local growth and repair and suggest that cellular turnover is low in the absence of trauma.
Mechanical role of the submembrane spectrin scaffold in red blood cells and neurons
Authors: Leterrier Christophe , Pullarkat Pramod A.
Published: August 2022

Spectrins are large, evolutionarily well-conserved proteins that form highly organized scaffolds on the inner surface of eukaryotic cells. Their organization in different cell types or cellular compartments helps cells withstand mechanical challenges with unique strategies depending on the cell type. This Review discusses our understanding of the mechanical properties of spectrins, their very distinct organization in red blood cells and neurons as two examples, and the contribution of the scaffolds they form to the mechanical properties of these cells.
Hobotnica: exploring molecular signature quality
Authors: Stupnikov Alexey , Sizykh Alexey , Budkina Anna , Favorov Alexander , Afsari Bahman , Wheelan Sarah , Marchionni Luigi , Medvedeva Yulia
Published: August 2022

A Molecular Features Set (MFS), is a result of a vast diversity of bioinformatics pipelines. The lack of a “gold standard” for most experimental data modalities makes it difficult to provide valid estimation for a particular MFS's quality. Yet, this goal can partially be achieved by analyzing inner-sample Distance Matrices (DM) and their power to distinguish between phenotypes.

The quality of a DM can be assessed by summarizing its power to quantify the differences of inner-phenotype and outer-phenotype distances. This estimation of the DM quality can be construed as a measure of the MFS's quality. 

Here we propose Hobotnica, an approach to estimate MFSs quality by their ability to stratify data, and assign them significance scores, that allow for collating various signatures and comparing their quality for contrasting groups.
Tracking human interactions with a commercially-available robot over multiple days
Authors: Hortensius Ruud , Chaudhury Bishakha , Hoffmann Martin , Cross Emily
Published: August 2022

Background: As research examining human-robot interaction moves from the laboratory to the real world, studies seeking to examine how people interact with robots face the question of which robotic platform to employ to collect data in situ. To facilitate the study of a broad range of individuals, from children to clinical populations, across diverse environments, from homes to schools, a robust, reproducible, low-cost and easy-to-use robotic platform is needed.

Methods: We describe how a commercially available off-the-shelf robot, Cozmo, can be used to study embodied human-robot interactions in a wide variety of settings, including the user’s home. We describe the steps required to use this affordable and flexible platform for longitudinal human-robot interaction studies. First, we outline the technical specifications and requirements of this platform and accessories. We then show how log files containing detailed data on the human-robot interaction can be collected and extracted. Finally, we detail the types of information that can be retrieved from these data.

Results: We present findings from a validation that mapped the behavioural repertoire of the Cozmo robot and introduce an accompanying interactive emotion classification tool to use with this robot. This tool combined with the data extracted from the log files can provide the necessary details to understand the psychological consequences of long-term interactions.

Conclusions: This low-cost robotic platform has the potential to provide the field with a variety of valuable new possibilities to study the social cognitive processes underlying human-robot interactions within and beyond the research laboratory, which are user-driven and unconstrained in both time and place.
A study on the mental health of students at a medical school during COVID-19 outbreak: a retrospective study
Authors: Kim Yu Ra , Park Hye Jin , Koo Bon-Hoon , Hwang Ji Young , Lee Young Hwan
Published: August 2022

Background: In this study, the degree of anxiety, depression, and stress caused by coronavirus disease 2019 (COVID-19) was identified, as well as the need for psychological prevention measures among medical students in the Daegu region that was designated the first special disaster area due to the spread of COVID-19.Methods: The subjects of this study were 318 medical students in Daegu who voluntarily participated in an online test using the Hospital Anxiety and Depression Scale and Impact of Event Scale-Revised Korean version. As a result of the test, risk students received immediate telephone counseling, and the effect of this telephone counseling was analyzed.Results: There were no differences in depression, anxiety, or stress according to gender and grade. As a result of immediate telephone counseling for risk students, significant differences were found in depression, anxiety, and stress, and the counseling was found to be effective.Conclusion: For medical students who are easily exposed to stress, the importance of psychological prevention measures and effectiveness of non-face-to-face counseling should be recognized. In the field of medical education, we must do our best to build a system that can be used immediately at the appropriate time for these programs.
Interference enhancement effect in a single Airyprime beam propagating in free space
Authors: Dan Wensong , Zang Xiang , Wang Fei , Zhou Yimin , Xu Yiqing , Chen Ruipin , Zhou Guoquan
Published: August 2022

An analytical expression of a single Airyprime beam propagating in free space is derived. Upon propagation in free space, a single Airyprime beam in arbitrary transverse direction is the coherent superposition of the Airyprime and the Airy-related modes, which results in the interference enhancement effect under the appropriate condition. The Airy-related mode is the conventional propagating Airy mode with an additional π/2 phase shift and a weight coefficient of half the normalized propagation distance. Due to the peak light intensity in the initial plane being set to be 1, the strength of interference enhancement effect is characterized by the maximum light intensity. The maximum light intensity of a single Airyprime beam propagating in free space is independent of the scaling factor and is only decided by the exponential decay factor. When the exponential decay factor is above the saturated value, the interference enhancement effect disappears. When the exponential decay factor decreases from the saturated value, the maximum light intensity of a single propagating Airyprime beam increases, and the position of maximum light intensity is getting farther away. With the increase of the scaling factor, the position of maximum light intensity of a single propagating Airyprime beam is extended. The intensity distribution and the transverse Poynting vector of a single propagating Airyprime beam are demonstrated in different observation planes of free space. The flow direction of transverse energy flux effectively supports the interference enhancement effect of a single propagating Airyprime beam. The Airyprime beam is experimentally generated, and the interference enhancement effect is experimentally confirmed. The interference enhancement effect is conducive to the practical application of a single Airyprime beam.
Design, analysis and optimization of a waveguide-type near-eye display using a pin-mirror array and a concaved reflector
Authors: Zhang Qingtian , Piao Yongri , Ma Shining , Liu Yue , Wang Yongtian , Song Weitao
Published: August 2022

Waveguides have become one of the most promising optical combiners for see-through near-eye displays due to the thickness, weight, and transmittance. In this study, we propose a waveguide-type near-eye display using a pin-mirror array and a concaved reflector with a compact outlook, optimized image uniformity and stray light. Issues have been discussed in detail, which include field of view (FOV), eye-box, resolution, depth of field (DOF), display uniformity and stray light artifacts. It can be shown that the DOF can be extended (when compared with traditional waveguide-type near-eye displays) to alleviate the vergence-accommodation conflict (VAC) problem, and the uniformity & stray light can be improved with an optimal structure. Moreover, reflective surfaces have been introduced as the input and output coupling with a compact outlook, an easy-processing structure and the achromatic performance. A prototype based on the proposed method have been successfully developed, and virtual images with an extended DOF can be shown along with the real-world.
Simple amplifier configuration algorithm for dynamic C + L-band systems in the presence of stimulated Raman scattering
Authors: Song Yuchen , Fan Qirui , Lu Chao , Wang Danshi , Lau Alan Pak Tao
Published: August 2022

We propose a simple two-step amplifier configuration algorithm based on signal power across different channels to improve the generalized signal-to-noise ratio (GSNR) performance of dynamic C + L-band links in the presence of amplifier spontaneous emission (ASE) noise, Kerr nonlinearity, and stimulated Raman scattering (SRS) using erbium-doped fiber amplifiers (EDFA). In step 1, ASE noise and Kerr nonlinearity are taken into account to derive sub-optimal signal power profiles at the beginning of each span using the local optimization global optimization (LOGO) strategy. The effect of SRS is compensated through amplifier gain pre-tilt in step 2. Simulations for links with homogeneous/heterogeneous spans, static full-channel loading, and dynamic loading due to gradual channel additions for C + L-band upgrades show that the proposed algorithm can achieve similar GSNR performance, but requires much less execution time, compared to other iterative methods that target for improving the GSNR across the C + L band, thus making it a fast and efficient GSNR management strategy for future dynamic C + L-band networks.
Speckle spatial correlations aiding optical transmission matrix retrieval: the smoothed Gerchberg–Saxton single-iteration algorithm
Authors: Ancora Daniele , Dominici Lorenzo , Gianfrate Antonio , Cazzato Paolo , De Giorgi Milena , Ballarini Dario , Sanvitto Daniele , Leuzzi Luca
Published: August 2022

The estimation of the transmission matrix of a disordered medium is a challenging problem in disordered photonics. Usually, its reconstruction relies on a complex inversion that aims at connecting a fully controlled input to the deterministic interference of the light field scrambled by the device. At the moment, iterative phase retrieval protocols provide the fastest reconstructing frameworks, converging in a few tens of iterations. Exploiting the knowledge of speckle correlations, we construct a new phase retrieval algorithm that reduces the computational cost to a single iteration. Besides being faster, our method is practical because it accepts fewer measurements than state-of-the-art protocols. Thanks to reducing computation time by one order of magnitude, our result can be a step forward toward real-time optical imaging that exploits disordered devices.
High-precision whispering gallery microsensors with ergodic spectra empowered by machine learning
Authors: Duan Bing , Zou Hanying , Chen Jin-Hui , Ma Chun Hui , Zhao Xingyun , Zheng Xiaolong , Wang Chuan , Liu Liang , Yang Daquan
Published: August 2022

Whispering gallery mode (WGM) microcavities provide increasing opportunities for precision measurement due to their ultrahigh sensitivity, compact size, and fast response. However, the conventional WGM sensors rely on monitoring the changes of a single mode, and the abundant sensing information in WGM transmission spectra has not been fully utilized. Here, empowered by machine learning (ML), we propose and demonstrate an ergodic spectra sensing method in an optofluidic microcavity for high-precision pressure measurement. The developed ML method realizes the analysis of the full features of optical spectra. The prediction accuracy of 99.97% is obtained with the average error as low as 0.32 kPa in the pressure range of 100 kPa via the training and testing stages. We further achieve the real-time readout of arbitrary unknown pressure within the range of measurement, and a prediction accuracy of 99.51% is obtained. Moreover, we demonstrate that the ergodic spectra sensing accuracy is∼11.5%higher than that of simply extracting resonating modes’ wavelength. With the high sensitivity and prediction accuracy, this work opens up a new avenue for integrated intelligent optical sensing.
All-cause excess mortality across 90 municipalities in Gujarat, India, during the COVID-19 pandemic (March 2020-April 2021)
Authors: Acosta Rolando J. , Patnaik Biraj , Buckee Caroline , Kiang Mathew V. , Irizarry Rafael A. , Balsari Satchit , Mahmud Ayesha
Published: August 2022

Official COVID-19 mortality statistics are strongly influenced by local diagnostic capacity, strength of the healthcare and vital registration systems, and death certification criteria and capacity, often resulting in significant undercounting of COVID-19 attributable deaths. Excess mortality, which is defined as the increase in observed death counts compared to a baseline expectation, provides an alternate measure of the mortality shock—both direct and indirect—of the COVID-19 pandemic. Here, we use data from civil death registers from a convenience sample of 90 (of 162) municipalities across the state of Gujarat, India, to estimate the impact of the COVID-19 pandemic on all-cause mortality. Using a model fit to weekly data from January 2019 to February 2020, we estimated excess mortality over the course of the pandemic from March 2020 to April 2021. During this period, the official government data reported 10,098 deaths attributable to COVID-19 for the entire state of Gujarat. We estimated 21,300 [95% CI: 20, 700, 22, 000] excess deaths across these 90 municipalities in this period, representing a 44% [95% CI: 43%, 45%] increase over the expected baseline. The sharpest increase in deaths in our sample was observed in late April 2021, with an estimated 678% [95% CI: 649%, 707%] increase in mortality from expected counts. The 40 to 65 age group experienced the highest increase in mortality relative to the other age groups. We found substantial increases in mortality for males and females. Our excess mortality estimate for these 90 municipalities, representing approximately at least 8% of the population, based on the 2011 census, exceeds the official COVID-19 death count for the entire state of Gujarat, even before the delta wave of the pandemic in India peaked in May 2021. Prior studies have concluded that true pandemic-related mortality in India greatly exceeds official counts. This study, using data directly from the first point of official death registration data recording, provides incontrovertible evidence of the high excess mortality in Gujarat from March 2020 to April 2021.
An XAI method for convolutional neural networks in self-driving cars
Authors: Kim Hong-Sik , Joe Inwhee
Published: August 2022

eXplainable Artificial Intelligence (XAI) is a new trend of machine learning. Machine learning models are used to predict or decide something, and they derive output based on a large volume of data set. Here, the problem is that it is hard to know why such prediction was derived, especially when using deep learning models. It makes the models unreliable in the case of reliability-critical applications. So, it is required to explain how they derived such output. It is a reliability-critical application for self-driving cars because the mistakes made by the computers inside them can lead to critical accidents. So, it is necessary to adopt XAI models in this field. In this paper, we propose an XAI method based on computing and explaining the difference of the output values of the neurons in the last hidden layer of convolutional neural networks. First, we input the original image and some modified images of it. Then we derive output values for each image and compare these values. Then, we introduce the Sensitivity Analysis technique to explain which parts of the original image are needed to distinguish the category. In detail, we divide the image into several parts and fill these parts with shades. First, we compute the influence value on the vector indicating the last hidden layer of the model for each of these parts. Then we draw shades whose darkness is in proportion to the influence values. The experimental results show that our approach for XAI in self-driving cars finds the parts needed to distinguish the category of these images accurately.
The potential role of serum expression profile of long non coding RNAs, Cox2 and HOTAIR as novel diagnostic biomarkers in systemic lupus erythematosus
Authors: Mahmoud Rania H. , Fouad Nermeen A. , Hefzy Enas M. , Shaker Olfat G. , Ahmed Tarek I. , Hussein Hoda A. , Nasr Maha H. , Zaki Othman M. , Abdelghaffar Noha K. , Abdelaleem Omayma O.
Published: August 2022

Background

The role of the long non-coding RNAs (lncRNAs) in the pathogenesis of systemic lupus erythematosus (SLE) is mostly unknown, despite increasing evidence that lncRNAs extensively participate in physiological and pathological conditions.

Aim

To detect the level of lncRNA-Cox2, HOTAIR, IL-6, and MMP-9 in the serum of SLE patients and to correlate these levels with disease activity and patients’ clinical and laboratory data to evaluate the value of these biomarkers for SLE diagnosis and assessment of disease activity.

Methods

Blood samples from 58 SLE patients, and 60 healthy controls (HCs) were used for detection of lncRNAs-Cox2 and HOTAIR expression levels by real-time polymerase chain reaction. Both IL-6 and MMP-9 serum levels were assayed by enzyme-linked immunosorbent assay. Lupus activity was assessed with the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI).

Results

The serum expression levels of lncRNA-Cox2 and HOTAIR were significantly up-regulated in SLE patients vs HCs (fold change [median (IQR) was 1.29(0.81–1.71, P<0.0001) and 2.68(0.95–3.67), P = 0.038) for lncRNA-Cox2 and HOTAIR, respectively. Serum levels of both IL-6 and MMP-9 were significantly high in SLE patients compared with HCs (P≤0.001 for each). The up-regulated lncRNA-Cox2 was positively associated with the presence of neurological manifestations in SLE patients (P = 0.007). Furthermore, HOTAIR expression level had significantly positive correlation with IL-6 (r = 0.578, P<0.0001), MMP-9 level (r = 0.762, P<0.0001), nephritis grades (r = 0.296, P = 0.024) and proteinuria (r = 0.287, P = 0.035). LncRNA-Cox2 showed sensitivity and specificity 72.4%, and 100.0% respectively. HOTAIR sensitivity was 60.3%, and specificity was 100.0%. By multiple logistic regression analysis, lncRNA-Cox2 and HOTAIR were found as SLE independent predictors.

Conclusion

LncRNA-COX2 and HOTAIR can be used as new non-invasive biomarkers for the diagnosis of SLE.
A prospective follow-up study on how long newborns are fasting in Debre Markos Comprehensive Specialized Hospital, Ethiopia, 2020
Authors: Kassie Bekalu , Wube Tejitu , Jara Dube , Teshome Muluken , Shiferaw Aster , Getaneh Sefinew , Desta Melaku
Published: August 2022

Background

At birth, continuous flow of nutrients to the fetus in utero interrupted due to cut of the route /umbilical cord/. Instead of the cord, breast-mouth connection will be the next route in the extra uterine life. Nevertheless, limited data in our locality show the duration for how long immediate newborns are fasting.

Objective

This study aimed to assess time to initiation of breastfeeding and its predictors among postnatal mothers within 12 hours of birth in Debre Markos Comprehensive Specialized Hospital, North West Ethiopia, 2020.

Methods

A Facility based prospective follow-up study was conducted among 475 participants who were selected using systematic random sampling techniques. To collect the data, techniques including interview, chart review and observation were used. Data was entered to Epi-data version 3.1 and analyzed by STATA 14 software. A cox proportional hazards regression model was fitted to identify predictors for survival time. Results of the final model were expressed in terms of adjusted hazard ratio (AHR) with 95% confidence interval, statistical significance was declared with P-value is less than 0.05.

Results

Newborns were fasting breast-milk for the median time of 2 hours. In this study, 25% of participants initiated breastfeeding within 1 hour, pre-lacteal while 75% initiated within 3 hours. Gave birth to multiple babies (AHR 0.37, 95% CI (0.19, 0.69)), operative delivery (AHR 0.77, 95% CI (0.62, 0.96)), got advice on timely initiation of breastfeeding immediately after delivery (AHR 0.79, 95% CI (0.63, 0.97)), pre-lacteal feeding initiation (AHR 10.41, 95% CI (2.82, 38.47)) and neonatal sickness (AHR 0.08, 95% CI (0.03–0.19)) were statistically significant predictors for time to initiation of breastfeeding.

Conclusion

Fifty percent of mothers initiated breastfeeding within 2 hours. Most of them didn’t initiate breastfeeding based on world health organization’s recommendation, within one hour after delivery. Multiple birth, operative delivery, getting advice on timely initiation of breastfeeding immediately after delivery, giving pre-lacteal feeding and neonatal sickness were found to be predictors of time to initiation of breastfeeding.
Can Machine Learning classifiers be used to regulate nutrients using small training datasets for aquaponic irrigation?: A comparative analysis
Authors: Dhal Sambandh Bhusan , Bagavathiannan Muthukumar , Braga-Neto Ulisses , Kalafatis Stavros
Published: August 2022

With the recent advances in the field of alternate agriculture, there has been an ever-growing demand for aquaponics as a potential substitute for traditional agricultural techniques for improving sustainable food production. However, the lack of data-driven methods and approaches for aquaponic cultivation remains a challenge. The objective of this research is to investigate statistical methods to make inferences using small datasets for nutrient control in aquaponics to optimize yield. In this work, we employed the Density-Based Synthetic Minority Over-sampling TEchnique (DB-SMOTE) to address dataset imbalance, and ExtraTreesClassifer and Recursive Feature Elimination (RFE) to choose the relevant features. Synthetic data generation techniques such as the Monte-Carlo (MC) sampling techniques were used to generate enough data points and different feature engineering techniques were used on the predictors before evaluating the performance of kernel-based classifiers with the goal of controlling nutrients in the aquaponic solution for optimal growth.[27–35]
Critical analysis on the reproducibility of visual quality assessment using deep features
Authors: Götz-Hahn Franz , Hosu Vlad , Saupe Dietmar
Published: August 2022

Data used to train supervised machine learning models are commonly split into independent training, validation, and test sets. This paper illustrates that complex data leakage cases have occurred in the no-reference image and video quality assessment literature. Recently, papers in several journals reported performance results well above the best in the field. However, our analysis shows that information from the test set was inappropriately used in the training process in different ways and that the claimed performance results cannot be achieved. When correcting for the data leakage, the performances of the approaches drop even below the state-of-the-art by a large margin. Additionally, we investigate end-to-end variations to the discussed approaches, which do not improve upon the original.
Influence of reduced graphene oxide addition on kerf width in abrasive water jet machining of nanofiller added epoxy-glass fibre composite
Authors: V. Kavimani , P. M. Gopal , B. Stalin , V. Balasubramani , V. Dhinakaran , N. Nagaprasad , Jule Leta Tesfaye , Ramaswamy Krishnaraj
Published: August 2022

The present study aims to develop a novel hybrid polymer composite with reduced graphene oxide (rGO) as filler and optimize its Abrasive Water Jet Machining (AWJM) parameters for reduced kerf width. The influence of rGO addition on kerf width is analysed in detail along with Pump pressure (bar), Transverse speed (mm/min) and Standoff distance(mm). The experiments are designed based on Taguchi’s orthogonal array techniques in which L27 is adopted for three input parameters at three levels. The influence of each factor is used to identify the significance of selected parameters over kerf width, and it was found that stand of distance has a major effect over kerf width irrespective of rGO %. The addition of rGO filler has a significant effect on kerf width, which decreases with the addition of rGO up to 0.2% and kerf width increases for further addition of rGO.
Study on air temperature estimation and its influencing factors in a complex mountainous area
Authors: Runke Wang , Xiaoni You , Yaya Shi , Chengyong Wu , Baokang Liu
Published: August 2022

Near-surface air temperature (Ta) is an important parameter in agricultural production and climate change. Satellite remote sensing data provide an effective way to estimate regional-scale air temperature. Therefore, taking Gansu section of the upper Weihe River Basin as the study area, using the filtered reconstructed high-quality long-time series normalized difference vegetation index (NDVI), interpolated reconstructed land surface temperature (LST), surface albedo, and digital elevation model (DEM) as the input data, the back-propagation artificial neural network algorithm (BP-ANN) was combined with a multiple linear regression method to estimate regional air temperature, and the influencing factors of air temperature estimation were analyzed. This method effectively compensates for the fact that air temperature data provided by a single station cannot represent regional air temperature information. The result shows that the temperature estimation accuracy is high. In terms of interannual variation, the air temperature in the study area showed a slightly increasing trend, with an average annual increase of 0.047°C. The calculation results of the interannual variation rate of temperature showed that the area with increased air temperature accounted for 75.8% of the total area. In terms of seasonal variation, compared with that in summer and winter, the air temperature rising trend in autumn was obvious, and the air temperature in the middle of the study area decreased in spring, which is prone to frost disasters. LST and NDVI in the study area were positively correlated with air temperature, and their positive correlation distribution areas accounted for 93.62% and 94.34% of the total study area, respectively. NDVI, LST and DEM influence the temperature change in the study area. The results show that there is a significant positive correlation between NDVI and air temperature, and the change of NDVI has a positive effect on the spatiotemporal variation of air temperature. The correlation coefficient between LST and air temperature in the southeast of the study area is negative, and there is a difference. In addition, the correlation coefficient between LST and air temperature in other areas of the study area is positive. The air temperature decreased with elevation, air temperature decreases by 0.27°C every hundred meters.
Assembly of ordered DNA-curli fibril complexes during Salmonella biofilm formation correlates with strengths of the type I interferon and autoimmune responses
Authors: Nicastro Lauren K. , de Anda Jaime , Jain Neha , Grando Kaitlyn C. M. , Miller Amanda L. , Bessho Shingo , Gallucci Stefania , Wong Gerard C. L. , Tükel Çagla
Published: August 2022

Deposition of human amyloids is associated with complex human diseases such as Alzheimer’s and Parkinson’s. Amyloid proteins are also produced by bacteria. The bacterial amyloid curli, found in the extracellular matrix of both commensal and pathogenic enteric bacterial biofilms, forms complexes with extracellular DNA, and recognition of these complexes by the host immune system may initiate an autoimmune response. Here, we isolated early intermediate, intermediate, and mature curli fibrils that form throughout the biofilm development and investigated the structural and pathogenic properties of each. Early intermediate aggregates were smaller than intermediate and mature curli fibrils, and circular dichroism, tryptophan, and thioflavin T analyses confirmed the establishment of a beta-sheet secondary structure as the curli conformations matured. Intermediate and mature curli fibrils were more immune stimulatory than early intermediate fibrils in vitro. The intermediate curli was cytotoxic to macrophages independent of Toll-like receptor 2. Mature curli fibrils had the highest DNA content and induced the highest levels of Isg15 expression and TNFα production in macrophages. In mice, mature curli fibrils induced the highest levels of anti-double-stranded DNA autoantibodies. The levels of autoantibodies were higher in autoimmune-prone NZBWxF/1 mice than wild-type C57BL/6 mice. Chronic exposure to all curli forms led to significant histopathological changes and synovial proliferation in the joints of autoimmune-prone mice; mature curli was the most detrimental. In conclusion, curli fibrils, generated during biofilm formation, cause pathogenic autoimmune responses that are stronger when curli complexes contain higher levels of DNA and in mice predisposed to autoimmunity.
Characterization of ultrashort double pulses and their application in attosecond physics
Authors: Gulyás Oldal Lénárd
Published: August 2022

Temporal double pulses, produced in femtosecond laser laboratories, sometimes positively, sometimes negatively affect the outcome of an experiment. In my research I have improved an already existing femtosecond laser pulse characterization technique, called SRSI to be able to reconstruct femtosecond double-pulse structures. In addition, I have investigated the impact of the double pulses on the spectral characteristics of high-order harmonics, generated in gaseous material, by changing the delay between the constituting pulses of the double-pulse structure.
Evaluating pinhão conservation by using ionizing radiation and refrigeration
Authors: Barcellos Carrasco Pérsia , Pacheco da Cruz Élder , Mello El Hallal Shanise Lisie , Da Rocha Faes Altair Delfino , Avila Gandra Eliezer , Barboza Mendonça Carla Rosane , Borges Caroline Dellinghausen
Published: August 2022

Pinhão is highly perishable due to its high water activity, being easily affected by fungi during storage and also susceptible to infestation by larvae. This seed is usually marketed in the pinhão cones itself, or bulk threshed, and packed in plastic bags, chilled or ground frozen. Pinhão conservation and industrialization techniques should be developed to promote its commercialization and consumption at other times of the year, besides the seasonal period, encouraging its sustainable production, extraction and commercialization, considering its essentially extractive character. The objective of this study was to evaluate the conservation of pinhão by the use of gamma radiation and refrigeration. The pinhões were irradiated with a cobalt–60 source at a dose rate of 1 kGy. A non-irradiated sample was used as a control. The pinhões were packed in high-density polyethylene bags and stored at ambient temperature and refrigerated at 4 ºC, during 90 days. Pinhões were evaluated for weight loss, acidity, reducing sugars, vitamin C, firmness, color, total phenolic compounds, antioxidant activity and microbiological analyzes. The isolated use of gamma radiation was not effective for the maintenance of the evaluated parameters. However, when used in conjunction with refrigerated storage, it reduced the growth of aerobic fungi, as well as mesophilic and psychrotrophic microorganisms. The isolated use of refrigeration showed a reduction in weight loss, reducing sugars and an increase in vitamin C content and antioxidant activity. Thus, to increase the benefits, we suggest evaluating higher doses of radiation as a function of the thick pinhão shell.
Influence of spatial variability of soil chemical attributes on the nutritional status and growth of the rubber tree
Authors: Anderson Ribeiro Diniz  , Camila Santos da Silva  , Pereira Marcos Gervasio , Everaldo Zonta  , Douglath Alves Corrêa Fernandes  , Ana Carolina Oliveira Sousa  , André Geraldo Lima de Moraes
Published: August 2022

The productive potential of the rubber tree (Hevea brasiliensis) is dependent on its genetic composition, in addition to edaphoclimatic factors and management practices. However, as soil properties are not homogenous, knowing the spatial variability of soil attributes would be important to increase productivity and reduce production costs. In this context, the objective of this study was to determine the spatial variability of chemical attributes of the soil and its influence on the nutritional status and growth of rubber tree clones. Clones FX 3864, FDR 5788, CDC 312, and RRIM 600 were planted at Jaturnaíba Farm, in the municipality of Silva Jardim, Rio de Janeiro State, Brazil. The sampling sites were distributed at a spacing of 20 × 20 m on the northern and southern sides of the relief. The chemical attributes of the soil (pH, Ca2+, Mg2+, K+, P, Al3+, H+Al, sum of bases, cation exchange capacity, and base saturation) were evaluated at a depth of 0–20 cm in the different clone plantations. Additionally, the N, P, K, Ca, and Mg content as well as trunk circumference and total plant height, were also evaluated. Geostatistics was used to determine the spatial variability of the soil and clone attributes, while Ordinary Kriging was used to draw variability maps of the variables. A difference in the distribution of the variables, which was dependent on the slope of the relief, was detected through the maps. The southern side presented better conditions as some degradation was observed on the northern side. Certain soil characteristics influenced the distribution of the attributes of the planted clones; for example, the low concentration of Ca2+ in the soil caused Ca deficiency in the FX clone on the southern slope, indicating that liming did not supply enough nutrients for this clone. Our results showed that the variability in soil attributes influenced the nutritional status and growth of the rubber tree clones, indicating that variability maps can guide the planting and management of the rubber tree, providing more efficient management.
Improvement on dimensional stability and mold resistance of wood modified by tannin acid and tung oil
Authors: Wang Yujiao , Zhang Runhua , Yang Mengqi , Peng Yao , Cao Jinzhen
Published: August 2022

In this study, two plant derived compounds, namely tannin acid (TA) and tung oil (TO) were used to modify southern yellow pine wood (Pinus spp.) to enhance its durability. Wood samples were firstly impregnated with aqueous TA solutions at 5, 10 and 15%, respectively, and then impregnated with TO. Samples treated by TA or TO alone were also prepared. The dimensional stability, hydrophobicity, mold resistance, and thermal stability of both treated and untreated wood were evaluated. The results showed that the dimensional stability and hydrophobicity of wood treated with 10% TA and TO (T10+TO group) improved significantly. Compared with control group, the water absorption of T10+TO group decreased by 80.0% after 192 h immersion, and the antiswelling efficiency reached up to 90.7%, with the contact angle of 118° at 50 s. The mold resistance of wood after 5% TA and TO treatment presented an effectiveness of 87.5%. Meanwhile, T10+TO group presented better thermal stability. Overall, this study revealed that wood impregnated by TA and TO exhibited excellent dimensional stability and anti-mold properties, which could be applicable to indoor environment.