Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Maternal Separation and Subsequent Stress on Behaviors and Brain Monoamines in Rats

Childhood adversity can induce maladaptive behaviors and increase risk for affective disorders, post-traumatic stress disorder, personality disorders, and vulnerability to stress in adulthood. Deprivation of maternal care interrupts brain development through the disturbance of various neurotransmitters, however, the details remain unclear. The features of the symptoms of disorders are largely determined by early stress protocol, genetic characteristics (line), and the sex of the animals. The purpose of current study was (1) to assess behavioral changes in adult Wistar rats of both sexes after early life stress; (2) to determine the levels of monoamines in brain structures involved in the motor, emotional, and social reactions in rats aged 1 and 2 months; and (3) to determine the level of monoamines after physical or emotional stress in adult rats. The rat pups were separated from their dams and isolated from siblings in tight boxes at a temperature of 22–23 °C for 6 h during postnatal days 2–18. The data were processed predominantly using two-way analysis of variance and the Newman–Keys test as the post hoc analysis. The adult rats demonstrated an increase in motor activity and aggressiveness and a decrease in levels of anxiety and sociability. Behavioral disturbances were accompanied by region-, sex-, and age-dependent changes in the levels of monoamines and their metabolites. The dopaminergic and noradrenergic systems were found to be sensitive to psycho-emotional stress.
Application of Viscose-Based Porous Carbon Fibers in Food Processing—Malathion and Chlorpyrifos Removal

The increasing usage of pesticides to boost food production inevitably leads to their presence in food samples, requiring the development of efficient methods for their removal. Here, we show that carefully tuned viscose-derived activated carbon fibers can be used for malathion and chlorpyrifos removal from liquid samples, even in complex matrices such as lemon juice and mint ethanol extract. Adsorbents were produced using the Design of Experiments protocol for varying activation conditions (carbonization at 850 °C; activation temperature between 670 and 870 °C; activation time from 30 to 180 min; and CO2 flow rate from 10 to 80 L h−1) and characterized in terms of physical and chemical properties (SEM, EDX, BET, FTIR). Pesticide adsorption kinetics and thermodynamics were then addressed. It was shown that some of the developed adsorbents are also capable of the selective removal of chlorpyrifos in the presence of malathion. The selected materials were not affected by complex matrices of real samples. Moreover, the adsorbent can be regenerated at least five times without pronounced performance losses. We suggest that the adsorptive removal of food contaminants can effectively improve food safety and quality, unlike other methods currently in use, which negatively affect the nutritional value of food products. Finally, data-based models trained on well-characterized materials libraries can direct the synthesis of novel adsorbents for the desired application in food processing.
Divergent Transcriptomic Effects of Allopregnanolone in Postpartum Depression

Brexanolone, a formulation of the neurosteroid allopregnanolone (ALLO), is approved for treating postpartum depression (PPD) and is being investigated for therapeutic efficacy across numerous neuropsychiatric disorders. Given ALLO’s beneficial effects on mood in women with PPD compared to healthy control women, we sought to characterize and compare the cellular response to ALLO in women with (n = 9) or without (n = 10, i.e., Controls) past PPD, utilizing our previously established patient-derived lymphoblastoid cell lines (LCLs). To mimic in vivo PPD ALLO-treatment, LCLs were exposed to ALLO or DMSO vehicle for 60 h and RNA-sequenced to detect differentially expressed genes (DEGs, pnominal < 0.05). Between ALLO-treated Control and PPD LCLs, 269 DEGs were identified, including Glutamate Decarboxylase 1 (GAD1), which was decreased 2-fold in PPD. Network analysis of PPD:ALLO DEGs revealed enriched terms related to synaptic activity and cholesterol biosynthesis. Within-diagnosis analyses (i.e., DMSO vs. ALLO) detected 265 ALLO-induced DEGs in Control LCLs compared to only 98 within PPD LCLs, with just 11 DEGs overlapping. Likewise, the gene ontologies underlying ALLO-induced DEGs in PPD and Control LCLs were divergent. These data suggest that ALLO may activate unique and opposing molecular pathways in women with PPD, which may be tied to its antidepressant mechanism.
Reduced Resting-State EEG Power Spectra and Functional Connectivity after 24 and 36 Hours of Sleep Deprivation

Total sleep deprivation (TSD) leads to cognitive decline; however, the neurophysiological mechanisms underlying resting-state electroencephalogram (EEG) changes after TSD remain unclear. In this study, 42 healthy adult participants were subjected to 36 h of sleep deprivation (36 h TSD), and resting-state EEG data were recorded at baseline, after 24 h of sleep deprivation (24 h TSD), and after 36 h TSD. The analysis of resting-state EEG at baseline, after 24 h TSD, and after 36 h TSD using source localization analysis, power spectrum analysis, and functional connectivity analysis revealed a decrease in alpha-band power and a significant increase in delta-band power after TSD and impaired functional connectivity in the default mode network, precuneus, and inferior parietal lobule. The cortical activities of the precuneus, inferior parietal lobule, and superior parietal lobule were significantly reduced, but no difference was found between the 24 h and 36 h TSD groups. This may indicate that TSD caused some damage to the participants, but this damage temporarily slowed during the 24 h to 36 h TSD period.
The Interplay Effects between Feed-Gas Composition and Bias Plasma Condition during Active-Screen Plasma Nitrocarburizing with a Solid Carbon Source

Recent technological development of utilizing an active screen made of solid carbon for plasma-assisted thermochemical diffusion treatments opens up new possibilities for control over the in situ generated treatment environment to guarantee reproducible treatment conditions and material responses. Until now, the investigations of active-screen plasma nitrocarburizing (ASPNC) using an active screen manufactured from solid carbon focused on the influence of a single treatment parameter variation on the material response. In this systematic study, experiments were conducted to vary the H2-N2 feed-gas composition while varying the bias plasma power. The experiments served to better understand a simultaneous variation in the mentioned parameters on the resulting treatment environment and material response during ASPNC of AISI 316L austenitic stainless steel. Therefore, nitriding and carburizing effects in the expanded austenite layer can be obtained. It is shown that an increased nitriding effect, i.e., nitrogen diffusion depth and content, was achieved in case of biased conditions and for H2-N2 feed-gas compositions with higher N2 amounts. On the contrary, an increased carburizing effect, i.e., carbon diffusion depth and content, was achieved in nonbiased conditions, independent from the H2-N2 feed-gas composition.
Personality-Based Emotion Recognition Using EEG Signals with a CNN-LSTM Network

The accurate detection of emotions has significant implications in healthcare, psychology, and human–computer interaction. Integrating personality information into emotion recognition can enhance its utility in various applications. The present study introduces a novel deep learning approach to emotion recognition, which utilizes electroencephalography (EEG) signals and the Big Five personality traits. The study recruited 60 participants and recorded their EEG data while they viewed unique sequence stimuli designed to effectively capture the dynamic nature of human emotions and personality traits. A pre-trained convolutional neural network (CNN) was used to extract emotion-related features from the raw EEG data. Additionally, a long short-term memory (LSTM) network was used to extract features related to the Big Five personality traits. The network was able to accurately predict personality traits from EEG data. The extracted features were subsequently used in a novel network to predict emotional states within the arousal and valence dimensions. The experimental results showed that the proposed classifier outperformed common classifiers, with a high accuracy of 93.97%. The findings suggest that incorporating personality traits as features in the designed network, for emotion recognition, leads to higher accuracy, highlighting the significance of examining these traits in the analysis of emotions.
Unraveling the Mechanism of StWRKY6 in Potato (Solanum tuberosum)’s Cadmium Tolerance for Ensuring Food Safety

The WRKY transcription factor plays a crucial role in plant stress adaptation. Our research has found that WRKY6 in Solanum tuberosum (potatoes) is closely related to cadmium (Cd) tolerance. Therefore, investigating the mechanism of StWRKY6 in plant resistance to Cd toxicity is of great scientific importance for food safety. This research further analyzed the gene structure and functional regions of the nuclear transcription factor WRKY6 in potatoes, discovering that StWRKY6 contains W box, GB/box, ABRE, and other elements that can act as a nuclear transcription regulatory factor to execute multiple functional regulations. The results of the heterologous expression of StWRKY6 in Arabidopsis under Cd stress showed that the overexpression line (StWRKY6-OE) had significantly higher SAPD values and content of reactive oxygen species scavenging enzymes than the wild type, indicating that StWRKY6 plays a crucial role in protecting the photosynthetic system and promoting carbohydrate synthesis. Transcriptome analysis also revealed that the Cd-induced expression of StWRKY6 up-regulated many potential gene targets, including APR2, DFRA, ABCG1, VSP2, ERF013, SAUR64/67, and BBX20, which are involved in Cd chelation (APR2, DFRA), plant defense (VSP2, PDF1.4), toxic substance efflux (ABCG1), light morphology development (BBX20), and auxin signal (SAUR64/67). These genes coordinate the regulation of Cd tolerance in the StWRKY6 overexpression line. In summary, this study identified a potential gene set of the co-expression module of StWRKY6, providing useful evidence for the remediation of Cd-contaminated soil and the genetic breeding of low Cd-accumulating crops, thereby ensuring food safety.
The effect of music therapy on delirium in patients receiving mechanical ventilatory support in the Intensive Care Unit: A protocol for systematic review and meta-analysis

Background: Delirium is a very common sick syndrome in patients receiving mechanical ventilatory support in the Intensive Care Unit (ICU). Music therapy is a promising non-pharmacological intervention. However, its effect on the duration, incidence and severity of delirium is unknown. So we will perform a systematic review and meta-analysis to evaluate the effect of music therapy on delirium in patients receiving mechanical ventilatory support in the ICU. Methods: This systematic review was registered in the PROSPERO. We will follow the Preferred Reporting Items for Systematic Reviews and Meta-analysis Protocol to accomplish the systematic review protocol. Searches of PubMed, EMbase, the Cochrane library, CBM, CNKI and Wanfang databases will be conducted through computer to collect randomized controlled trials (RCTs) on the effects of music therapy on delirium in patients receiving mechanical ventilatory support in the ICU. The search time will be all from database establishment to April 2023. Two evaluators will independently screen the literature, extract information and evaluate the risk of bias of included studies, then data analysis will be performed using Stata 14.0 software. Results: The results of this systematic review and meta-analysis will be publicly available and published in a peer-reviewed journal. Conclusion: This study will provide evidence-based medical evidence for music therapy to control delirium in patients receiving mechanical ventilatory support in the ICU.
Effects of continuous bicycle ergometer and step exercises from admission to discharge in a patient with myelodysplastic syndrome undergoing myeloablative conditioning and hematopoietic stem cell transplantation: A case report

Background: In myelodysplastic syndromes (MDS), in addition to disease-related symptoms, many adverse events are associated with anticancer agents, myeloablative conditioning (MAC), and allogeneic hematopoietic stem cell transplantation (allo-HSCT). Isolation and bed rest in a clean room severely limit physical activity, resulting in cardiopulmonary and muscle weakness. In addition, post-transplant patients may experience general fatigue, gastrointestinal symptoms, and infections associated with a weakened immune system, as well as graft-versus-host disease, which causes further decline in physical function and activities of daily living (ADL). Most reports on the rehabilitation of patients with hematopoietic tumors involve interventions before and after chemotherapy or transplantation. However, an important issue is to establish effective and feasible exercise programs in a clean room setting, where activity is severely limited and physical function is most likely to decline. Case report: This case report describes the treatment progress of a 60-year-old man with MDS and thrombocytopenia scheduled to receive MAC and allo-HSCT, who continued bicycle ergometer and step exercises from admission to discharge. The patient was admitted for allo-HSCT, and on day 4, he started bicycle ergometer and step exercise in a clean room and continued until discharge. As a result, exercise tolerance and lower-extremity muscle strength were maintained at the time of hospital discharge. Furthermore, the patient was able to continue rehabilitation in a restricted environment without adverse events. Conclusions: The rehabilitation and treatment course of this case may provide valuable information for patients with MDS and thrombocytopenia.
A 12-Port MIMO Antenna System for 5G/WLAN Applications

In this paper, a 12-port MIMO antenna system for 5G/WLAN applications is proposed. The proposed antenna system consists of two types of antenna modules: an L-shaped antenna module covering the C-band (3.4–3.6 GHz) for 5G mobile applications and a folded monopole module for the 5G/WLAN mobile application band (4.5–5.9 GHz). Each two antennas form a pair, six pairs in total, forming a 12 × 12 MIMO antenna array, and the elements between the antenna pairs can achieve an isolation of 11 dB or more without additional decoupling structures. Experimental results show that the antenna can cover the 3.3–3.6 GHz and 4.5–5.9 GHz bands with an overall efficiency greater than 75% and an envelope correlation coefficient less than 0.04. Finally, the one-hand holding mode and two-hand holding mode are discussed to demonstrate their stability in practical applications, and the results show that they still exhibit good radiation and MIMO performance when operating in both modes.
A non-linear complex diffusion-based edge and structure preserving zooming technique for MRI and ultrasound images

In this paper, a non-linear complex diffusion-based edge and structure preserving image zooming technique for Magnetic Resonance Imaging (MRI) and ultrasound images is proposed. The proposed method performs regularisation, edge and structure preservation of digital medical MRI and ultrasound images, which were initially zoomed using one of the linear interpolation methods such as nearest-neighbour, bilinear and bi-cubic. For digital implementations, the proposed model is discretised using finite differences schemes. The scheme is implemented in MATLAB 7.0 and tested for various MRI and ultrasound images. A comparative analysis of the proposed scheme with the standard existing schemes have been performed in terms of Mean Square Error (MSE), Peak Signal-to-Noise Ratio (PSNR), Correlation Parameter (CP), Mean Structure Similarity Index Map (MSSIM) and histogram analysis. The obtained results justify the applicability of the proposed scheme.
THE EFFECT OF ITEM POSITION ON STATE MATHEMATICS ASSESSMENT

Purpose In this study, the goal is to investigate the effect of item position on students' performance on Mathematics assessments. This study focuses on grade 7 students who took Mathematics assessments in Spring 2009. The Mathematics assessment is part of a statewide assessment system in a Midwestern state. Items were arranged in two different ways to create two different test forms with the exact same items. Item difficulty (p-value) for each item will be calculated and examined. In addition, items were grouped by states content standards, and the average p-value of the grouped items was calculated and compared across test forms. Furthermore, the differences of item parameters between test forms were investigated using the Mantel-Haenszel method to assess the presence of differential item function (DIF). Perspective In testing situations, the use of alternate test forms constructed with the same items presented in different order is one of the strategies for deterring copying and enhancing test security in test administrations. Scrambling, the rearrangement of the same set of items within a test form, is often used to discourage examinee copying (Harris, 1991). However, the psychometric literature has shown that varied item and section orders can affect item and section characteristics (such as difficulty) and as a result have unintended effects on test scores These effects can make claims of test form interchangeability questionable, possibly violating testing industry standards (Moses, Yang, & Wilson, 2007). Newman, Kundert, Lane, and Bull (1988) found that students (enrolled in an undergraduate educational psychology class) who received the forms with items in an increasing cognitive order scored higher on hard items, no matter what order of statistical difficulty; while Chiu 3 students who received items in an decreasing cognitive order and statistical difficulty orders scored the highest on medium difficulty level items. Hambleton and Traub (1974) studied 11 th graders' performance on an Algebra II Mathematics Test. They discovered the average number of correct answers for test questions arranged from easy-to-difficult was significantly higher than the test questions arranged from difficult-to-easy. Newman, Kundert, Lane, and Bull (1988) also found that students (enrolled in an undergraduate educational psychology class) who received the tests with items ordered in an increasing cognitive order (knowledge, comprehension, application, Bloom's (1956) taxonomy) received higher scores on hard items, no matter what order of statistical difficulty (easy, medium, hard or reversed order); while student who received items in an decreasing cognitive order and statistically …
A Blind Symbol Rate Estimation of Weak Signal Based on Cyclic Spectrum and Wavelet Transform

In the paper, we propose a new blind symbol rate estimation of weak signal with fixed sampling rate based on cyclic spectrum and wavelet transform. Firstly, the FFT characteristics is used to estimate the carrier frequency and the received signal is moved to the baseband by Digital Down Converter (DDC). Then, the wavelet transform is used for pre-estimating the symbol rate. Thirdly, the symbol rate estimation is proposed on the basis of cyclostationary theory and pre-estimated symbol rate. Simulation results verified the correctness of this method with MPSK signal. When the Signal to Noise Ratio (SNR) is −10 db, the approach proposed in this paper can accurately estimate the varied symbol rate with fixed sampling rate.
Pharmacological and Endoscopic Interventions for Prophylaxis of Post-Endoscopic Retrograde Cholangiopancreatography Pancreatitis

Background Post-endoscopic retrograde cholangiopancreatography pancreatitis (PEP) represents the most common serious complication after endoscopic retrograde cholangiopancreatography (ERCP). Rectal non-steroidal anti-inflammatory drugs (NSAIDs) and pancreatic duct stenting (PDS) are the prophylactic interventions with more evidence and efficacy; however, PEP still represents a significant source of morbidity, mortality, and economic burden. Chronic statin use has been proposed as a prophylactic method that could be cheap and relatively safe. However, the evidence is conflicting. We aimed to evaluate the impact of endoscopic and pharmacological interventions including chronic statin and aspirin use, on the development of PEP. Methods A retrospective cohort study evaluated consecutive patients undergoing ERCP at John H. Stroger, Jr. Hospital of Cook County in Chicago from January 2015 to March 2018. Univariate and multivariate analyses were performed using logistic regression. Results A total of 681 ERCPs were included in the study. Twelve (1.76%) developed PEP. Univariate, multivariate, and subgroup analyses did not show any association between chronic statin or aspirin use and PEP. PDS and rectal indomethacin were protective in patients undergoing pancreatic duct injection. Pancreatic duct injection, female sex, and younger age were associated with a higher risk. History of papillotomy was associated with lower risk only in the univariate analysis (all P values < 0.05). Conclusion Chronic use of statins and aspirin appears to add no additional benefit to prevent ERCP pancreatitis. Rectal NSAIDs, and PDS after appropriate patient selection continue to be the main prophylactic measures. The lower incidence at our center compared with the reported data can be explained by the high rates of rectal indomethacin and PDS, the use of noninvasive diagnostic modalities for patient selection, and the expertise of the endoscopists.
LAND BREEZES AND NOCTURNAL THUNDERSTORMS

Abstract After extension of the definition of land breeze and introductory discussion of the problem of nocturnal thunderstorms, tables are presented for Lydda Airport, Israel, showing the diurnal variation of thunderstorms and the associated surface wind-directions. There is a notable excess of nocturnal thunderstorms with wind directions in the quadrant from which the land breeze blows. The fundamental fact is pointed out that, because of the curvature of the coast of the eastern Mediterranean (concave toward the sea), the fields of the land breezes and the diurnal winds in the friction layer constitute a convergent wind field, particularly pronounced in the winter. The type of low over the eastern Mediterranean in which land-breeze convergences make an important contribution toward the formation of nocturnal thunderstorms is discussed briefly. A diagram shows the divergent nature of the sea breezes in summer, again, first and foremost, because of the concave curvature of the coast. A number of stations.
Understanding heavy lake-effect snowfall: The vertical structure of radar reflectivity in a deep snowband over and downwind of lake Ontario

AbstractThe distribution of radar-estimated precipitation from lake-effect snowbands over and downwind of Lake Ontario shows more snowfall in downwind areas than over the lake itself. Here, two nonexclusive processes contributing to this are examined: the collapse of convection that lofts hydrometeors over the lake and allows them to settle downwind; and stratiform ascent over land, due to the development of a stable boundary layer, frictional convergence, and terrain, leading to widespread precipitation there. The main data sources for this study are vertical profiles of radar reflectivity and hydrometeor vertical velocity in a well-defined, deep long-lake-axis-parallel band, observed on 11 December 2013 during the Ontario Winter Lake-effect Systems (OWLeS) project. The profiles are derived from an airborne W-band Doppler radar, as well as an array of four K-band radars, an X-band profiling radar, a scanning X-band radar, and a scanning S-band radar.The presence of convection offshore is evident from dee.