Miracle-dz/UniFAR-FTUs huggingface dataset:
A Systematic Review and Meta-Analysis of Personality Disorder Prevalence and Patient Outcomes in Emergency Departments.

The objectives of this study were to perform a systematic review and meta-analysis of studies reporting prevalence of personality disorders (PDs) in emergency departments (EDs) and evaluate the effect of comorbid PDs on clinical outcomes. A systematic search of five databases along with manual searching and expert consultation was performed. A quality appraisal was conducted. A total of 29 articles were included. Prevalence of PDs in ED attendees varied depending on presenting complaint, Q(4) = 577.5, p < . 01, with meta-analytic prevalence rates of suicide and self-harm at 35% and 22%, respectively. The assessment method had a significant effect on prevalence rates, Q(3) = 17.36, p < . 01. Comorbid PD was a risk factor for repeating presenting complaint, subsequent ED return, and hospitalization. Better identification of PDs using screening tools in EDs could improve patient management and clinical outcomes. Future research should focus on PD prevalence in unselected ED populations using validated diagnostic interviews.
A Low-Back Exoskeleton can Reduce the Erector Spinae Muscles Activity During Freestyle Symmetrical Load Lifting Tasks

Low-back wearable robots are emerging tools to provide support to operators during handling of goods and repetitive operations. In this paper, we present and validate a novel control strategy for an active pelvis orthosis, which operates intuitively and effectively to assist workers during lifting operations. The proposed control strategy has a hierarchical architecture: the first layer (the intention-detection module) aims to detect online the onset of the lifting movement; the second layer (the assistive strategy) computes the reference torque profile to assist the movement, after the movement onset is detected; the third layer (the low-level control layer) aims at setting the current to drive the actuators. The control strategy relies on the angle measurements acquired by the encoders integrated in the robotic device and does not need additional sensors to detect the event. The system was tested on a pool of five healthy subjects, who were requested to perform repetitive lifting movements: first, the subject was requested to bend the trunk, grasp the box, lift it up and place it on a table; second, the subject was requested to grasp the object from the table, lower it down, place it on the floor and get up without the load. The tasks were executed with the exoskeleton controlled in transparent and assistive modes. Results show that the assistive action allows to perform the lifting movement faster. Significant reductions of the activity of the Lumbar Erector Spinae muscles were observed in the assistive mode compared to the transparent mode: a 16% reduction was observed when extending the trunk while holding the weight and a 33% reduction when extending the trunk without holding the load.
Non-persistence to antiretroviral therapy among adults receiving HIV medical care in the United States

ABSTRACT Not taking medicine over a specific period of time—non-persistence to antiretroviral therapy (ART)—may be associated with higher HIV-viral load. However, national estimates of non-persistence among U.S. HIV patients are lacking. We examined the association between non-persistence and various factors, including sustained HIV-viral suppression (VS) stratified by adherence, and assessed reasons for non-persistence using Medical Monitoring Project (MMP) data. MMP conducts clinical and behavioral surveillance among cross-sectional representative samples of adults receiving HIV care in the U.S. We analyzed weighted MMP interview and medical record abstraction data collected between 6/2011–5/2015 from 18,423 patients self-reporting ART use. We defined non-persistence as a self-initiated decision to not take ART for ≥2 consecutive days in the past 12-months, non-adherence as missing ≥1 ART dose during the past 3-days and sustained VS as all HIV-viral loads documented in medical record during the past 12-months as undetectable or <200 copies/mL. We used Rao-Scott chi-square tests to examine the association between non-persistence and sociodemographic, behavioral, clinical, and medication-related factors. We examined the association between non-persistence and sustained VS, stratified by adherence, and present prevalence ratios (PRs) with 95% confidence intervals (CIs). Reasons for non-persistence were assessed. Overall, 7% of patients reported non-persistence. Drug use, depression and medication side effects were associated with non-persistence (P < 0.01). Non-persistence was associated with the lack of sustained VS (PR: .66, CI:63-.70); this association did not differ by adherence level. However, VS was lower among the non-persistent/adherent compared with the persistent/non-adherent [51% (CI:47–54) versus 61% (CI:36–46), P < 0.01]. The most prevalent reason for non-persistence was treatment fatigue (38%). Though few persons in HIV care reported non-persistence, our findings suggest that non-persistence is associated with lack of sustained VS, regardless of adherence. Routine screening for non-persistence during clinical appointments and counseling for those at risk for non-persistence may help improve clinical outcomes.
Region-specific susceptibility change in cognitively impaired patients with diabetes mellitus

Emerging evidence suggests that diabetes mellitus (DM) is associated with iron and calcium metabolism. However, few studies have investigated the presence of DM in cognitively impaired patients and its effect on brain iron and calcium accumulation. Therefore, we assessed the effects of DM on cognitively impaired patients using quantitative susceptibility mapping (QSM). From June 2012 to Feb 2014, 92 eligible cognitively impaired patients underwent 3T magnetic resonance imaging (MRI). There were 46 patients with DM (DM+) and 46 aged matched patients without DM (DM-). QSM was obtained from gradient echo data and analyzed by drawing regions of interest around relevant anatomical structures. Clinical factors and vascular pathology were also evaluated. Measurement differences between DM+ and DM- patients were assessed by t tests. A multiple regression analysis was performed to identify independent predictors of magnetic susceptibility. DM+ patients showed lower susceptibility values, indicative of lower brain iron content, than DM- patients, which was significant in the hippocampus (4.80 ± 8.31 ppb versus 0.22 ± 10.60 ppb, p = 0.024) and pulvinar of the thalamus (36.30 ± 19.88 ppb versus 45.90 ± 20.02 ppb, p = 0.023). On multiple regression analysis, microbleed number was a predictor of susceptibility change in the hippocampus (F = 4.291, beta = 0.236, p = 0.042) and DM was a predictor of susceptibility change in the pulvinar of the thalamus (F = 4.900, beta = - 0.251, p = 0.030). In cognitively impaired patients, presence of DM was associated with lower susceptibility change in the pulvinar of the thalamus and hippocampus. This suggests that there may be region-specific alterations of calcium deposition in cognitively impaired subjects with DM.
Toward High Throughput Core-CBCM CMOS Capacitive Sensors for Life Science Applications: A Novel Current-Mode for High Dynamic Range Circuitry

This paper proposes a novel charge-based Complementary Metal Oxide Semiconductor (CMOS) capacitive sensor for life science applications. Charge-based capacitance measurement (CBCM) has significantly attracted the attention of researchers for the design and implementation of high-precision CMOS capacitive biosensors. A conventional core-CBCM capacitive sensor consists of a capacitance-to-voltage converter (CVC), followed by a voltage-to-digital converter. In spite of their high accuracy and low complexity, their input dynamic range (IDR) limits the advantages of core-CBCM capacitive sensors for most biological applications, including cellular monitoring. In this paper, after a brief review of core-CBCM capacitive sensors, we address this challenge by proposing a new current-mode core-CBCM design. In this design, we combine CBCM and current-controlled oscillator (CCO) structures to improve the IDR of the capacitive readout circuit. Using a 0.18 μm CMOS process, we demonstrate and discuss the Cadence simulation results to demonstrate the high performance of the proposed circuitry. Based on these results, the proposed circuit offers an IDR ranging from 873 aF to 70 fF with a resolution of about 10 aF. This CMOS capacitive sensor with such a wide IDR can be employed for monitoring cellular and molecular activities that are suitable for biological research and clinical purposes.
Using deep autoencoders to identify abnormal brain structural patterns in neuropsychiatric disorders: A large‐scale multi‐sample study

Machine learning is becoming an increasingly popular approach for investigating spatially distributed and subtle neuroanatomical alterations in brain‐based disorders. However, some machine learning models have been criticized for requiring a large number of cases in each experimental group, and for resembling a “black box” that provides little or no insight into the nature of the data. In this article, we propose an alternative conceptual and practical approach for investigating brain‐based disorders which aim to overcome these limitations. We used an artificial neural network known as “deep autoencoder” to create a normative model using structural magnetic resonance imaging data from 1,113 healthy people. We then used this model to estimate total and regional neuroanatomical deviation in individual patients with schizophrenia and autism spectrum disorder using two independent data sets (n = 263). We report that the model was able to generate different values of total neuroanatomical deviation for each disease under investigation relative to their control group (p < .005). Furthermore, the model revealed distinct patterns of neuroanatomical deviations for the two diseases, consistent with the existing neuroimaging literature. We conclude that the deep autoencoder provides a flexible and promising framework for assessing total and regional neuroanatomical deviations in neuropsychiatric populations.
Exploring the Inhibitory and Antioxidant Effects of Fullerene and Fullerenol on Ribonuclease A

Fullerene–protein interaction studies have been a key topic of investigation in recent times, but the lower water solubility of fullerene somewhat limits its application in the biological system. In this work, we have compared the activities of fullerene and its water-soluble hydrated form, that is fullerenol, on ribonuclease A (RNase A) under physiological conditions (pH 7.4). The interaction studies of fullerene and fullerenol with protein suggest that the binding depends on the hydrophobic interactions between the protein and the ligand. In addition, fullerene and fullerenol slow down the ribonucleolytic activity of RNase A through noncompetitive and mixed types of inhibition, respectively. This precisely gives the idea about the ligand-binding sites in RNase A, which has further been explored using docking studies. Both these nanoparticles show a reduction in dityrosine formation in RNase A caused due to oxidative stress and also prevent RNase A dimer formation to different extents depending on their concentration.
A Lightweight and Secure Data Sharing Protocol for D2D Communications

D2D communications empower operators to offer their services at the highest level of quality provided that issues concerning availability and security are addressed first. The explosive amount of mobile data traffic, on one hand, and the growing demand for available services on the other hand, motivate us to propose a secure, lightweight and available data sharing scheme for D2D communications. Data sharing, an increasingly popular service among mobile users, could play a noticeable role in offloading the traffic data from operators if handled by D2D communications. In this paper, we propose an efficient protocol for secure data sharing in D2D communication. In the proposed protocol, the major security challenges about data sharing like, data confidentiality, integrity, detecting message modification, and preventing the propagation of malformed data are considered. Additionally, not only unauthorized users are banned from using our service, but also by keeping records about the history of the authorized users actions, we are able to punish misbehaving users, if their malicious behavior exceeds a threshold. The evaluation of the proposed protocol proves that it is more lightweight than the previous works and supports the security requirements of data sharing scheme.
Face Morphing Detection Using Fourier Spectrum of Sensor Pattern Noise

Morphing attack is becoming a serious challenge for the existing face recognition systems. Aiming at face morphing detection, a novel method is proposed by using Fourier spectrum of sensor pattern noise (FS-SPN). The sensor pattern noise of the facial image is first extracted based on guided image estimation, and the facial quantification statistics, which characterize the specific frequency difference in FS-SPN between the real face image and the morphed image, are obtained. With a linear support vector machine, morphed face image can be detected. Experimental results and analysis show that it outperforms the existing methods in detection accuracy for both complete morphing and splicing morphing.
Mechanisms and the clinical relevance of complex drug–drug interactions

As a result of an increasing aging population, the number of individuals taking multiple medications simultaneously has grown considerably. For these individuals, taking multiple medications has increased the risk of undesirable drug–drug interactions (DDIs), which can cause serious and debilitating adverse drug reactions (ADRs). A comprehensive understanding of DDIs is needed to combat these deleterious outcomes. This review provides a synopsis of the pharmacokinetic (PK) and pharmacodynamic (PD) mechanisms that underlie DDIs. PK-mediated DDIs affect all aspects of drug disposition: absorption, distribution, metabolism and excretion (ADME). In this review, the cells that play a major role in ADME and have been investigated for DDIs are discussed. Key examples of drug metabolizing enzymes and drug transporters that are involved in DDIs and found in these cells are described. The effect of inhibiting or inducing these proteins through DDIs on the PK parameters is also reviewed. Despite most DDI studies being focused on the PK effects, DDIs through PD can also lead to significant and harmful effects. Therefore, this review outlines specific examples and describes the additive, synergistic and antagonistic mechanisms of PD-mediated DDIs. The effects DDIs on the maximum PD response (Emax) and the drug dose or concentration (EDEC50) that lead to 50% of Emax are also examined. Significant gaps in our understanding of DDIs remain, so innovative and emerging approaches are critical for overcoming them.
Early adipose deposits in sheep: comparative analysis of the perirenal fat transcriptome of Assaf and Churra suckling lambs

Adipose deposits influence the quality of ruminant carcasses, and in suckling lambs, internal types of adipose deposits represent a notable proportion of total fat. The aim of this study was to perform a comparative analysis of the perirenal fat transcriptomes of suckling lambs from two breeds with different growth and carcass characteristics. The perirenal fat tissue from 14 suckling lambs (Assaf, n = 8; Churra, n = 6) was used for the RNA-seq analysis. The functional enrichment analysis of the 670 highly expressed genes (>150 fragments per kilobase of exon per million fragments mapped) in the perirenal fat transcriptome of both breeds revealed that the majority of these genes were involved in energy processes. The expression of the UCP1 gene, a classical biomarker of brown fat, and the presence of multilocular adipocytes in the two breeds supported the presence of brown fat at the transition stage towards white fat tissue. The differential expression analysis performed identified 373 differentially expressed genes (DEGs) between the two compared breeds. Brown/white fat gene biomarkers were not included in the list of DEGs. In Assaf lambs, DEGs were enriched in Gene Ontology (GO) biological processes related to fatty-acid oxidation, whereas in Churra lambs, the majority of the significantly enriched GO terms were related to cholesterol synthesis, which suggests that upregulated DEGs in Assaf lambs are implicated in fat burning, whereas the Churra upregulated DEGs are linked to fat accumulation. These results can help to increase knowledge of the genes controlling early fat deposition in ruminants and shed light on fundamental aspects of adipose tissue growth.
Active Adaptive Estimation and Control for Vehicle Suspensions With Prescribed Performance

This paper proposes an adaptive control for vehicle active suspensions with unknown nonlinearities (e.g., nonlinear springs and piecewise dampers). A prescribed performance function that characterizes the convergence rate, maximum overshoot, and steady-state error is incorporated into the control design to stabilize the vertical and pitch motions, such that both the transient and steady-state suspension response are guaranteed. Moreover, a novel adaptive law is used to achieve precise estimation of essential parameters (e.g., mass of vehicle body and moment of inertia for pitch motion), where the parameter estimation error is obtained explicitly and then used as a new leakage term. Theoretical studies prove the convergence of the estimated parameters, and compare the suggested controller with generic adaptive controllers using the gradient descent and e-modification schemes. In addition to motion displacements, dynamic tire loads and suspension travel constraints are also considered. Extensive comparative simulations on a dynamic simulator consisting of commercial vehicle simulation software Carsim 8.1 and MATLAB Simulink are provided to show the efficacy of the proposed control, and to illustrate the improved performance.
Error of Proposal Writing by Students

The development of knowledge and technology must be followed by the development of good and right language. Especially in the use of written language. In Higher Education the use of written language must be mastered by every student. A person's academic ability will be seen from the language used. This paper aims to see errors in the use of writing procedures when writing research proposals written by students. Qualitative descriptive research method. The results of the study show that the errors that occur in writing scientific papers are on the written system (letters, words and sentences) and contents. Font errors that are often written are when writing standard words. Whereas in word writing it often happens, students do not distinguish between oral and written language, and standard and non-standard words. In sentence writing tends to be unstructured and difficult to understand by others. Writing a research proposal requires several times of guidance and is read by others. Errors that occur in writing can be avoided by knowing and understanding the rules of standard scientific writing. Keywords—error; proposal writing; research
Rapid antibiotic susceptibility testing on blood cultures using MALDI-TOF MS

Antibiotic resistance is a major public health problem requiring the early optimization of antibiotic prescriptions. Matrix-Assisted Laser Desorption Ionization-Time Of Flight Mass Spectrometry (MALDI-TOF MS) has been shown to accurately identify bacteria from positive blood culture. Here, we developed a rapid detection of Escherichia coli resistance to amoxicillin (AMX) and cefotaxime (CTX) from positive blood culture based on MALDI-TOF MS. Potential sparing of broad-spectrum antibiotics was also evaluated. We tested 103 E. coli-positive blood cultures. Blood cultures were subculture 1-hour in antibiotic-free rich liquid media before further incubation with and without AMX for 2.5 h or CTX for 2 h. Protein extracts associated with an internal control were spotted on a MALDI-TOF target and spectra were analyzed with the MBT-ASTRA prototype software (Bruker Daltonik GmbH, Bremen, Germany). Bacterial growth ratio was calculated from the AUC spectra obtained in the presence and absence of the antibiotic and compared to a threshold which classified E. coli as susceptible or resistant. Results were interpreted with MICs determined using agar dilution method as reference technique. MBT-ASTRA recognized 95% and 84% of the AMX- and CTX-susceptible isolates, respectively. Overall, quantitative analysis of mass spectra allows susceptibility testing within 4 hours after the positivity of blood culture with E. coli. At the first report of positive blood culture, MALDI-TOF MS would then provide the prescribers with the bacterial identification and the susceptibility to AMX and CTX, thus limiting the use of broad-spectrum compounds.
Making sense of recovery after traumatic brain injury through a peer mentoring intervention: a qualitative exploration

Objective To explore the acceptability of peer mentoring for people with a traumatic brain injury (TBI) in New Zealand. Design This is a qualitative descriptive study exploring the experiences reported by mentees and mentors taking part in a feasibility study of peer mentoring. Interviews with five mentees and six mentors were carried out. Data were analysed using conventional content analysis. Setting The first mentoring session took place predischarge from the rehabilitation unit. The remaining five sessions took place in mentees’ homes or community as preferred. Participants Twelve people with TBI took part: six mentees (with moderate to severe TBI; aged 18–46) paired with six mentors (moderate to severe TBI >12 months previously; aged 21–59). Pairing occurred before mentee discharge from postacute inpatient brain injury rehabilitation. Mentors had been discharged from rehabilitation following a TBI between 1 and 5 years previously. Intervention The peer mentoring programme consisted of up to six face-to-face sessions between a mentee and a mentor over a 6-month period. The sessions focused on building rapport, exploring hopes for and supporting participation after discharge through further meetings and supported community activities. Results Data were synthesised into one overarching theme: making sense of recovery. This occurred through the sharing of experiences and stories; was pivotal to the mentoring relationship; and appeared to benefit both mentees and mentors. Mentors were perceived as valued experts because of their personal experience of injury and recovery, and could provide support in ways that were different from that provided by clinicians or family members. Mentors required support to manage the uncertainties inherent in the role. Conclusions The insight mentors developed through their own lived experience established them as a trusted and credible source of hope and support for people re-engaging in the community post-TBI. These findings indicate the potential for mentoring to result in positive outcomes.