Miracle-dz/UniFAR-FTUs huggingface dataset:
Predicting Diabetes Disease Evolution Using Financial Records and Recurrent Neural Networks

Managing patients with chronic diseases is a major and growing healthcare challenge in several countries. A chronic condition, such as diabetes, is an illness that lasts a long time and does not go away, and often leads to the patient's health gradually getting worse. While recent works involve raw electronic health record (EHR) from hospitals, this work uses only financial records from health plan providers (medical claims) to predict diabetes disease evolution with a self-attentive recurrent neural network. The use of financial data is due to the possibility of being an interface to international standards, as the records standard encodes medical procedures. The main goal was to assess high risk diabetics, so we predict records related to diabetes acute complications such as amputations and debridements, revascularization and hemodialysis. Our work succeeds to anticipate complications between 60 to 240 days with an area under ROC curve ranging from 0.81 to 0.94. In this paper we describe the first half of a work-in-progress developed within a health plan provider with ROC curve ranging from 0.81 to 0.83. This assessment will give healthcare providers the chance to intervene earlier and head off hospitalizations. We are aiming to deliver personalized predictions and personalized recommendations to individual patients, with the goal of improving outcomes and reducing costs
Mating Effort Predicts Human Menstrual Cycle Frequency

The human menstrual cycle is characterized by substantial variability both within and between women. Here, we sought to account for such variability by examining whether human menstrual cycle frequency varies as a function of the projected fitness payoffs associated with investment in mating effort. We used structural equation modeling to test the prediction that women whose environmental conditions or life histories favor heavier investment in mating effort would have shorter, more regular cycles. Results supported our hypothesis, revealing that women who project more mating success and have faster life history strategies exhibit greater mating effort and shorter, more regular menstrual cycles. An alternative model that specified cycle frequency as a predictor of mating effort was a poor fit for the data, lending support for the hypothesized directionality of the path between these variables. Together, these results provide some of the first empirical evidence that the length and regularity of the human menstrual cycle may be calibrated to investment in mating effort.
PydMobileNet: Improved Version of MobileNets with Pyramid Depthwise Separable Convolution

Convolutional neural networks (CNNs) have shown remarkable performance in various computer vision tasks in recent years. However, the increasing model size has raised challenges in adopting them in real-time applications as well as mobile and embedded vision applications. Many works try to build networks as small as possible while still have acceptable performance. The state-of-the-art architecture is MobileNets. They use Depthwise Separable Convolution (DWConvolution) in place of standard Convolution to reduce the size of networks. This paper describes an improved version of MobileNet, called Pyramid Mobile Network. Instead of using just a $3\times 3$ kernel size for DWConvolution like in MobileNet, the proposed network uses a pyramid kernel size to capture more spatial information. The proposed architecture is evaluated on two highly competitive object recognition benchmark datasets (CIFAR-10, CIFAR-100). The experiments demonstrate that the proposed network achieves better performance compared with MobileNet as well as other state-of-the-art networks. Additionally, it is more flexible in fine-tuning the trade-off between accuracy, latency and model size than MobileNets.
ADNP Regulates Cognition: A Multitasking Protein

With the advantage of rapid progress of DNA/RNA sequencing techniques, it has become feasible to identify the cause of developmental disorders encompassing intellectual disabilities to single de novo mutated genes (e.g., Larsen et al., 2016; Deciphering Developmental Disorders, 2017; Stessman et al., 2017). It is my opinion that we should study in depth, the leading identified genes, to acquire better understanding of the molecular basis for human cognitive functions. Furthermore, from a translational science point of view, understanding genes regulating cognition will facilitate drug development to currently untreatable devastating disease, which hamper cognition. Here, I focus on activity-dependent neuroprotective protein (ADNP) (Gozes et al., 2018) showing a tight association with cognition, and in my opinion, a key gene regulating cognitive functions.
Second-Order Agents on Ring Digraphs

The paper addresses the problem of consensus Seeking among second-order linear agents interconnected in a specific ring topology. Unlike the existing results in the field dealing with one-directional digraphs arising in various cyclic pursuit algorithms or two-directional graphs, we focus on the case where some arcs in a two-directional ring graph are dropped in a regular fashion. The derived condition for achieving consensus turns out to be independent of the number of agents in a network.
Community acquired pneumonia among adult patients at an Egyptian university hospital: bacterial etiology, susceptibility profile and evaluation of the response to initial empiric antibiotic therapy

Background Effective empirical antibiotic therapy for community acquired pneumonia (CAP), based on frequently updated data about the pattern of bacterial distribution and their antimicrobial susceptibilities, is mandatory. Aim To identify the bacterial etiology of CAP in adults and their antibiotic susceptibility patterns and to evaluate the response to initial empirical antibiotic therapy in an Egyptian university hospital. Settings and design A cross-sectional hospital-based study. Patients and methods CAP cases were selected by systemic random sampling from those admitted to the chest department. All were evaluated at admission and 4 days after starting empiric therapy. Typical bacteria were isolated, identified and tested for their antibiotic susceptibility. An indirect IF assay was used to diagnose atypical bacteria. Clinical response to initial empiric antibiotic therapy was clinically, laboratory and radiologically evaluated. Results Two hundred and seventy CAP patients were included. Bacteria represented 50.4% of them. Klebsiella pneumoniae was the most prevalent bacterium (10.37%) followed by Streptococcus pneumoniae and P. aeruginosa (7.78% each). Overall, 76.2% of isolates showed a multidrug resistant phenotype: 82.61% (19/23) S. pneumoniae, 89.66 % (26/29) K. pneumoniae, 65.22% (15/23) Pseudomonas aeruginosa, 87.50% (7/8) Escherichia coli and 81.25 % (13/16) Staphylococcus aureus. Broad spectrum β-lactams, especially carbapenems, and moxifloxacin showed in vitro efficacy on most of the tested isolates. Forty-three cases (15.9%) were nonresponders, 37 (86%) of them showed bacterial etiology. The highest rate of nonresponsiveness (30.43%) was observed in cases receiving antipseudomonal/antipneumococcal β-lactam plus a fluoroquinolone for suspected P. aeruginosa infection. Conclusion Multidrug resistance in bacteria causing CAP and high frequency of isolation of hospital pathogens are prominent features of this study. Azithromycin containing regimens were associated with the lowest rates of nonresponsiveness. Development and implementation of an antibiotic stewardship program are highly recommended for CAP management.
Preventing and treating kidney disease in patients with type 2 diabetes

ABSTRACT Introduction: Chronic kidney disease (CKD) represents a huge burden in patients with type 2 diabetes (T2DM). This review therefore has the aim of assessing the add-on value of new glucose-lowering agents compared or combined with inhibitors of the renin angiotensin aldosterone system (RAAS) on renal outcomes in T2DM patients. Areas covered: This article first summarizes the results reported with RAAS inhibitors, mainstay of nephroprotection in T2DM with albuminuria. Second, it describes the positive results with glucagon-like peptide-1 receptor agonists (GLP-1RAs) and, even more impressive, sodium-glucose cotransporter type 2 inhibitors (SGLT2is). Third, besides the potential of combined therapies, it briefly considers some new approaches currently in development. Expert opinion: RAAS inhibitors exert renoprotective effects beyond their blood pressure lowering effects while SGLT2is, and possibly GLP-1RAs, exert nephroprotection independently of their glucose-lowering activity. These effects were demonstrated not only on surrogate endpoints such as albuminuria and estimated glomerular filtration rate decline, but also on hard endpoints, including progression to end-stage renal disease requiring replacement therapy. The underlying mechanisms are different and potentially complementary on glomerular hemodynamics, arguing for combined therapies. Nevertheless, there is still room for new emerging drugs to tackle CKD in T2DM.
Brief Exposure to Pictures Depicting Poor Environments Leads to Increased Consumption of Beer in Adult Social Drinkers

Abstract Previous studies have suggested a trait-like association between neighborhood deprivation and alcohol consumption. However, it is not known whether temporarily manipulating poverty and affluence states by exposure to stimuli signifying resource-scarcity or resource-wealth would influence alcohol-seeking behavior. Here, we aimed to investigate whether implicit exposure to affluence and poverty-related pictures would influence beer consumption. Participants in a “poverty” group viewed pictures depicting impoverished environments, and participants in an “affluence” group viewed images of wealthy environments. After priming, participants were provided with nonalcoholic beer (which they were told was alcohol-containing beer) and orange juice under the guise of a bogus taste test, to measure their alcohol-seeking behavior. Results showed that priming participants with a resource-scarce environment led to an increase in beer consumption (as a percentage of total fluid consumed), compared to priming with a resource-rich environment. The same pattern of results was obtained in both a Western European sample (Experiment 1) and a West Indian sample (Experiment 2). In Experiment 2, we also tested whether risk-taking behavior, measured by the Balloon Analogue Risk Task, was influenced by the environmental priming; no differences between groups were observed. These results provide the first experimental evidence that manipulation of poverty-affluence state, by brief exposure to pictures of impoverished or wealthy neighborhoods, can influence alcohol-seeking behavior in adult social drinkers.
The Antidepressant-Like Effect of Lactate in an Animal Model of Menopausal Depression

Background: This study aimed to investigate the antidepressant-like effect of lactate and elucidate its mechanisms in ovariectomized rats with repeated stress. Methods: Two experiments were conducted on female rats in which all groups, except normal, were ovariectomized and underwent immobilization for 14 days. Lactate was administered orally (100, 250, and 500 mg/kg) for 14 consecutive days, and the rats’ cutaneous body temperature was measured during the same period. Depression-like behavior in rats was assessed by the tail suspension test (TST) and forced swimming test (FST). Furthermore, enzyme-linked immunosorbent assay (ELISA) and immunohistochemistry were conducted to evaluate the changes that occurred in the neurotransmitter levels and activity. Results: The lactate 100 and 250 groups had reduced time spent immobile in TST and FST and decreased peripheral body temperature. In ELISA tests, the lactate 250 group expressed elevated levels of serotonin and dopamine in many brain areas. Tyrosine hydroxylase (TH), tryptophan hydroxylase (TPH), and protein kinase C (PKC) immunoreactive cells showed increased density and cell counts in lactate administered groups. Conclusion: Results indicated that lactate has an antidepressant effect that is achieved by activation of PKC and upregulation of TH and TPH expression, which eventually leads to enhanced serotonin and dopamine levels in the menopausal rat’s brain.
Complications of traditional bone setters (TBS) treatment of musculoskeletal injuries: experience in a private setting in Warri, South-South Nigeria

Introduction Complications arising from the practice of traditional bone setting is a major contributor to the challenges the orthodox orthopaedic practitioner in Nigeria faces. We share our experience at a multi-specialist private health facility in Warri, South-south, Nigeria. Methods Case notes of patients with musculoskeletal injuries who had prior treatment by traditional bone setters with resulting complications before presenting at our health facility for treatment were reviewed and relevant information extracted and entered in an already prepared proforma. Data were analysed using SPSS version 17 and results presented in form of means, percentages, ratios and tables. Results 43 cases were reviewed in a period of 8 years. There were 21 males and 22 females. The average age of patients was 44.8 ± 20.3 years. The most frequent age group affected was that of 40-49 years. 45.8% of the initial injuries were due to road traffic accidents while 39.5% resulted from falls. Femoral fractures and humeral fractures formed 20.4% and 14.8% of cases respectively. 40.8% of traditional bone setters complications observed were non-union of fractures of various bones followed by mal-union in 24.5% of cases. Conclusion The observed complications of traditional bone setters practice in this study were similar to those previously reported in the literature. These complications constitute a significant challenge to the orthopaedic practitioner in Africa with associated negative socioeconomic impact on our society. Government and other relevant stakeholders need to unite and take decisive actions to mitigate this problem.
TIRADS Interobserver Variability Among Indeterminate Thyroid Nodules: A Single‐Institution Study

A high proportion of cytologically indeterminate, Afirma Gene Expression Classifier “suspicious” thyroid nodules are benign. The Thyroid Imaging Reporting and Data System (TIRADS), was proposed by the American College of Radiology in 2017 to help classify thyroid nodules based on ultrasound characteristics in a standardized fashion to guide management. We aim to determine the interobserver variability of TIRADS classification among cytologically indeterminate and Afirma suspicious nodules.
Effects of a combined strength and conditioning training program on physical abilities in adolescent male basketball players.

BACKGROUND The aim of this study was to evaluate the effects of an in-season strength and conditioning program on physical abilities in under-16 sub-elite basketball players. METHODS Sixteen young male basketball players were assessed using countermovement jump (CMJ), squat jump (SJ), 10-meters sprint and Pro Agility test, before and after an 8-week in-season strength and conditioning program. Both the control group (BASK; n = 7) and the experimental group (SC; n = 9) were involved in regular basketball practice; additionally, the SC group performed 4 sessions per week of training intervention considering post-match days and prior days to next match. The training protocol consisted of three components: a stabilization block, a neuromuscular/strength block (i.e. circuit of mobility, plyometric, coordination, reaction, and stability exercises) and a power block (i.e. resisted movement training performed with VertiMax V6 platform). RESULTS Substantial improvements in CMJ (likely; d=0.30-0.47) were found in both groups. Moreover, the SC group displayed substantial increase in SJ (likely; d=0.07-1.26) and also in 10 m-sprint (d=-0.13-1.34). The between-group analysis also revealed greater improvements for the SC group in 10-m sprint (d=1.37) and SJ (d=0.50). CONCLUSIONS In-season regular basketball practice plus strength and conditioning training program can lead to a greater improvements on jumping and sprinting abilities in male young basketball players comparing to the regular basketball training.
Retrospective comparative analysis of risk factors and outcomes in patients with carbapenem-resistant Acinetobacter baumannii bloodstream infections: cefoperazone–sulbactam associated with resistance and tigecycline increased the mortality

Background Carbapenem-resistant Acinetobacter baumannii (CRAB) is a rapidly emerging, life-threatening nosocomial infection. This study aimed to explore the risk factors, clinical features, antimicrobial therapy, and outcomes of CRAB bloodstream infections (BSIs). Methods This is a retrospective, comparative analysis of data from patients with A. baumannii BSI, treated from 2012 to 2015 at a tertiary teaching hospital. Risk factors associated with CRAB BSI and factors associated with the 28-day mortality were evaluated using logistic analyses. Results Data from 293 patients with confirmed A. baumannii BSI were included; 242 (82.6%) patients had CRAB BSI and 51 (17.4%) patients had non-CRAB BSI. Risk factors significantly associated with CRAB BSI were a previous intensive care unit (ICU) stay (P=0.029), cefoperazone–sulbactam use (P=0.030), and carbapenem use (P=0.004). Among 236 patients with A. baumannii BSI who were evaluable at 28 days after receiving antibacterial therapy, there were 86 deaths. Factors associated with the 28-day mortality were ICU stay after BSI (P=0.040), readmission within 90 days (P=0.029), Acute Physiology and Chronic Health Evaluation II (APACHE II) score at diagnosis >19 (P=0.012), tigecycline therapy (P=0.021), presence of septic shock (P=0.029), and multiple organ failure (P=0.016). Death rates in patients treated with tigecycline were 53.5% vs 24.1% in patients treated with other agents. Among 186 patients with CRAB BSI evaluable at 28 days, 84 patients died. The associated risk factors were an ICU stay after BSI (P=0.036), APACHE II score >19 at diagnosis (P = 0.002), presence of septic shock (P=0.030), and multiple organ failure (P=0.007). Conclusion This study demonstrated that an ICU stay and cefoperazone–sulbactam or carbapenem use were seen to be the risk factors associated with the development of CRAB BSI. Critical illness and tigecycline therapy were significantly associated with higher mortality of patients with A. baumannii BSI.
Subclinical atherosclerosis in psoriatic disease: relation to endocan, TNF‐α, age of onset, and body fat

Psoriasis is a common multisystem inflammatory disease with several associated comorbidities. Serological markers to detect associated subclinical atherosclerosis in psoriatic patients are needed. We aimed to study serum endocan levels in psoriasis vulgaris and its relation to severity of psoriasis, systemic inflammation, associated atherosclerosis, obesity, and the possible factors affecting its level in psoriatic patients.
Long-Term Cancer Survivors’ Everyday Embodiment

ABSTRACT Long-term survivors of cancer (LTS) face daunting challenges to their physical, emotional, and cognitive well-being in the years following completion of cancer treatment. Most LTS face a new reality shaped by chronic “late effects” of treatments, or illnesses and conditions caused by chemotherapy, radiation, surgery, medications, and other treatments. Copious biomedical research explores the health challenges of patients undergoing cancer treatment, yet relatively little investigates the lived experience of LTS from a health communication perspective. Using Managing Meaning of Embodied Experience Theory (Field-Springer & Striley, 2018) as a critical embodiment lens, this study describes LTS’ embodiment of health and illness. Critical qualitative analyses produced three themes: Bodies-in-relation, bodies entangled with biomedical actants, and dynamic embodiment. We discuss implications for health communication research and theorizing and for healthcare practice.
Domain Adaptive Transfer Learning with Specialist Models

Transfer learning is a widely used method to build high performing computer vision models. In this paper, we study the efficacy of transfer learning by examining how the choice of data impacts performance. We find that more pre-training data does not always help, and transfer performance depends on a judicious choice of pre-training data. These findings are important given the continued increase in dataset sizes. We further propose domain adaptive transfer learning, a simple and effective pre-training method using importance weights computed based on the target dataset. Our method to compute importance weights follow from ideas in domain adaptation, and we show a novel application to transfer learning. Our methods achieve state-of-the-art results on multiple fine-grained classification datasets and are well-suited for use in practice.
Neuroprogression: the hidden mechanism of depression

For many years, depressive disorder (DD) was considered a transient and natural disease of people’s mood. Its etiology had been attributed mainly to biochemical alterations of the monoamines and their receptors. Nevertheless, its prevalence and considerable impact on the family and social environment of those afflicted by it have placed the disease as a global public health problem. Neuroprogression is the term used to describe the changes in several psychiatric conditions evidenced and observed in the clinical manifestations, biochemical markers, and cerebral structures of the patients with major depressive disorder (MDD), which frequently overlap with neurodegenerative disorders. DD is considered a potentially aggressive state of neuronal deterioration involving apoptosis, reduced neurogenesis, decreased neuronal plasticity, and increased immune response. Clinically, it encompasses a poor response to treatment and an increase in depressive episodes, both of which bring about vulnerability and decline of functions associated with structural changes in the brain. The interest of this work is to review the metabolic processes involved in the morphologic alterations in the limbic system reported in patients with MDD, as well as the neurologic bases of this complex pathology that include environmental stress, genetic vulnerability, alterations in the neurotransmission, and changes in the neuroplasticity, all of which today bring into limelight a mechanism of progressive neuronal damage.
Posterior uveal melanoma in adolescents and children: current perspectives

Recognizing that <1% of all uveal melanomas occur in young persons, and that very few clinicians encounter more than a few such cases over an extended career, we felt that a retrospective review of literature and sharing of our clinical experience would be appropriate to remind readers about this age subgroup of patients with posterior uveal melanoma. This interest stems from the increase in reported cases of uveal melanoma in younger individuals and recent advances in the field.