Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of a Copper (II) Complex on The Induction of Apoptosis in Human Hepatocellular Carcinoma Cells

Objectives: In the present study, we aimed to identify the anti-proliferative potential of [Cu(L)(2imi)] complex [L = 2-(((5-chloro-2-oxyphenyl)imino)methyl)phenolato) and 2imi = 2-methyl imidazole] against HepG2 cells as an in vitro model of human hepatocellular carcinoma and normal mouse fibroblast L929 cells. Methods: The cytotoxic and apoptotic effects of [Cu(L)(2imi)] complex on HepG2 cells and normal fibroblasts (L929) were examined by MTT assay and flow cytometry, respectively. Results: Cytotoxicity induced by [Cu(L)(2imi)] complex was time dependent. Also, there was a positive correlation between cytotoxicity and an increase in Cu complex concentration. For HepG2 cells, the cell viability percentage was 50% at 58 μg/mL after 24 h treatment, whereas in the same concentration and conditions, the viability percentage was surprisingly higher (about 100%) for L929 cells. Also, after 48 h treatment, the viability percentage of HepG2 cells at 55 μg/mL concentration was 50% in contrast with 89.3% for L929 cells in the same conditions. Flow cytometry findings suggest that [Cu(L)(2imi)] complex is capable of decreasing cancer cell viability through apoptosis and did not efficiently activate the necrosis process. Conclusions: Finally, we found that [Cu(L)(2imi)] complex possess the potential for development as an anti-cancer drug for human hepatocellular carcinoma.
Nonlinear Interaction Analysis of Cardiovascular-Respiratory Data by Means of Convergent Cross Mapping

Appropriate analyses of directed complex interactions within the cardiovascular-respiratory system are of growing interest for a better understanding of physiological regulatory mechanisms in healthy subjects and diseased persons. There are various concepts to analyze such interactions. Convergent Cross Mapping (CCM) provides the possibility to define directed interactions in terms of nonlinear stability. A proof-of-principle approach is introduced to apply CCM to cardiovascular-respiratory data of healthy subjects during resting state period. Showing group results of time-invariant as well as single subject results of interval-based CCM, the introduced approach was able to quantify correct directionality and strength of interactions within the cardiovascular-respiratory system and to provide statistical thresholds for significant interactions. These results may serve as a methodological base to compare healthy subjects and diseased persons.
Towards Finger Motion Capture System Using FBG Sensors

This paper introduces a novel finger motion capture system using FBG (fiber Bragg grating) optical sensors. We develop two types of sensors to seamlessly reconstruct finger motion from strains induced in the FBGs. First, the shape sensor incorporates three optical fibers with multiple FBGs to reconstruct the position and orientation of a finger joint in 3D. In addition, the angle sensor is designed to measure the high curvature of bending on the finger joints. By deploying the two types of sensors on the fingers, we can reconstruct various finger motion in real time without drift over time. The accuracies of the fabricated FBG sensors are evaluated, resulting in an average error of 1.49 mm for the shape sensor at the distal tip (1.9% for the full length of the sensor) and 0.21° error for the angle sensor. We finally demonstrate finger motion tracking with the FBG sensors in real time, while measuring the multi-DOF motion at the carpometacarpal joint of the thumb and also the high curvatures of bending motion at the metacarpophalangeal and interphalangeal joints of the thumb and the index finger.
一个类遗传性血小板无力症家系及其分子发病机制研究

目的 报告一个遗传性血小板功能障碍家系并探索其分子发病机制。 方法 收集该家系临床资料，采用二代高通量测序法进行遗传性血液病和血小板功能相关近600种基因突变筛查。 采用RT-PCR及一代测序法检测先证者及其父母RASGRP2基因部分转录本序列。 结果 该遗传性血小板功能障碍家系临床表现符合变异型血小板无力症，表现为反复皮肤黏膜严重出血，先证者血小板对多种不同浓度的生理性诱聚剂反应低下甚至缺如。 先证者未检出整合素αⅡbβ3基因突变，而存在RASGRP2 IVS3-1C>G纯合突变，其父母均为该位点杂合突变。 先证者在扩增区检测出2种转录本，功能型RASGRP2蛋白对应的正常转录本未检出，其父母同时存在正常转录本及异常转录本，但以正常转录本为主。 结论 RASGRP2基因IVS3-1C>G纯合突变是导致该家系先证者发生血小板功能障碍性出血的原因。 RASGRP2基因IVS3-1C>G突变导致RASGRP2异常剪接，发挥激活Rap1的RASGRP2蛋白缺失，进而导致血小板功能障碍。 本研究为国内首次报道RASGRP2基因异常导致血小板功能障碍性出血，也是国际上首次报道该突变类型。
Modeling Cardiac Hemodynamic Response During Exercise in Health and Hypertrophic Cardiomyopathy

Introduction: Hypertrophic cardiomyopathy (HCM) is associated with altered hemodynamics in the left ventricular outflow tract and tissue abnormalities. Exercise testing has become an integral and powerful tool for the noninvasive evaluation of HCM and, in some patients, it could define a treatment strategy. Obiective: To model the hemodynamic alterations during exercise in healthy and HCM patients, obtained by noninvasive methods. Methods: Cardiac output (CO), heart rate (HR), arterial blood pressure (ABP) and Total Peripheral Resistance (TPR) were assessed during exercise. The evaluation included a curve-fitting approach (sigmoidal model) that allowed a quantitative comparison of CO profiles. Results: When compared to controls, patients with HCM showed reduced peak exercise cardiac output and demonstrated high peripheral resistance during exercise. Analysis of modeled it CO curves revealed a higher maximum rate of recovery in healthy individuals than in HCM patients. Conclusion: The application of the sigmoidal model showed to be efficient in the characterization of CO dynamics for the different studied groups.
Modeling of Molded Electronic Package Warpage Characteristic with Cure Induced Shrinkage and Viscoelasticity Properties

One of the challenges for developing an electronic package is to understand the dynamic warpage behavior of the package even before having the real physical sample. Hence, industry relies on the use of simulation tools, be it the finite element model and analytical equations, to refine the design options to obtain a high confidence warpage prediction. However, this is never consistently predictable because of the underlying assumptions where the actual assembly process is a lot more complex. In this paper, the comparison of assembly process steps and modeling method is discussed coupled with a demonstration of the use of Moldex3D to predict the mold flow pattern and warpage prediction by leveraging the mold cure kinetics, PVTC (Pressure Volume Temperature Cure) and viscoelasticity material properties of the mold. Effect of mesh detail, mold shrinkage percentage and glass transition temperature were considered to provide some general trend of these parameters impacting the package warpage prediction. The use of analytical equation in managing the material properties transition from uncured to cured mold was demonstrated. Even with existing modeling capabilities, there is no one common modeling method and capability to capture all the potential package assembly process interaction. Hence, this is the motivation for further development.
Platelet-rich plasma to rescue an ulcerated orbital dermal fat graft

Introduction: Central graft ulceration is a rare complication of an orbital dermal fat graft caused by diminished blood supply to the implant. This study reports on the efficacy and safety of the use of a single subconjunctival injection of autologous platelet-rich plasma to rescue an ulcerated orbital dermal fat graft. Methods: Three patients, who had undergone autologous dermal fat graft to treat their anophthalmic socket, were given a 2-mL subconjunctival platelet-rich plasma injection in the exposed graft margins. Demographic and clinical features, treatment protocol, clinical course, complications and follow-up time are reported. In the preoperative examination, all the patients presented a primary epithelial defect of the dermal fat graft. Results: There were no major complications such as necrosis or infection. One patient presented a small conjunctival granuloma at 1-month follow up. Mean postoperative follow-up duration was 13 (range: 10–16) months. By 1 month, the chronic epithelial defect had resolved with the graft integrated within the orbital tissues in all cases. All patients were referred for artificial prosthesis placement. Conclusion: Although further work is needed, our findings suggest that a single subconjunctival platelet-rich plasma injection could be an effective, safe and economic alternative to surgery to rescue an ulcerated orbital dermal fat graft.
Speaking Ability while Using an Inductive Tongue-Computer Interface for Individuals with Tetraplegia: Talking and Driving a Powered Wheelchair - a Case Study

This paper assesses the ability of speaking while using an inductive tongue-computer interface. Lately, tongue- computer interfaces have been proposed for computer/robotic interfacing for individuals with tetraplegia. To be useful in home settings these interfaces should be aesthetic and interfere as little as possible with the limited preserved functionality of individuals with tetraplegia. As tongue interfaces from an aesthetical point of view are preferred to be entirely intra-oral it is relevant to address their effect on speech. Here we show that reading more than 566 words while using an inductive tongue-computer interface results in a maximum sensor activation time of less than 0.6 s, which means that false activations can be avoided by a sensor dwell time of 0.6 s. Furthermore, we show that it is possible to speak while controlling a powered wheelchair with the inductive tongue computer interface.
Disruptions in the reproductive system of female rats after prenatal lipopolysaccharide-induced immunological stress: role of sex steroids

Abstract Stress signals during fetal or early postnatal periods may disorganize reproductive axis development at different levels. This study was aimed to test the hypothesis that prenatal immunological stress induced by bacterial endotoxin, lipopolysaccharide (LPS), has impact on structure and function of the reproductive system in female offspring. Adult female Wistar rats were divided into two groups, a control group (n = 5) and a LPS group (n = 12). Rats were injected with LPS 50 μg/kg body or 0.9% saline intraperitoneally on the 12th day of pregnancy. After birth the female pups (n = 20 in each group) were divided into four groups: (group 1) 0.9% saline prenatally, sesame oil (vehicle) postnatally; (group 2) LPS prenatally, sesame oil postnatally; (group 3) LPS prenatally, fulvestrant postnatally; (group 4) LPS prenatally, flutamide postnatally. Pups were injected subcutaneously into the neck with fulvestrant (estrogen receptor antagonist), 1.5 mg/kg in sesame oil, from postnatal day (PND) 5 to PND14; or flutamide (androgen receptor antagonist), 20 mg/kg in sesame oil, from PND14 to PND30. Rats of the control group were injected with sesame oil during the same time period. Parameters were evaluated by ELISA (serum estradiol and testosterone) and ovarian histology. The main findings were: (1) prenatal stress during the critical period resulted in delayed vaginal opening, decreased body weight and serum concentrations of sex steroids, and significant disorders in ovarian development; (2) postnatal estradiol and testosterone antagonist treatments decreased follicular atresia through increasing the number of healthy follicles and restored endogenous steroid production. Lay summaryImmunological stress, caused by simulating infection through exposure to a bacterial toxin (LPS), during a critical period of fetal development in laboratory rats results in delayed reproductive maturity, decreased body weight and decreased secretion of sex steroids in female offspring, and abnormalities in the ovaries like those in polycystic ovarian syndrome. These prenatally toxin-induced sexual disorders in females could be corrected by estradiol/testosterone antagonists during the postnatal period.
Human-Robot Trust Integrated Task Allocation and Symbolic Motion planning for Heterogeneous Multi-robot Systems

This paper presents a human-robot trust integrated task allocation and motion planning framework for multi-robot systems (MRS) in performing a set of parallel subtasks. Parallel subtask specifications are conjuncted with MRS to synthesize a task allocation automaton. Each transition of the task allocation automaton is associated with the total trust value of human in corresponding robots. A dynamic Bayesian network (DBN) based human-robot trust model is constructed considering individual robot performance, safety coefficient, human cognitive workload and overall evaluation of task allocation. Hence, a task allocation path with maximum encoded human-robot trust can be searched based on the current trust value of each robot in the task allocation automaton. Symbolic motion planning (SMP) is implemented for each robot after they obtain the sequence of actions. The task allocation path can be intermittently updated with this DBN based trust model. The overall strategy is demonstrated by a simulation with 5 robots and 3 parallel subtask automata.
Comparative effects of proximal and distal small intestinal administration of metformin on plasma glucose and glucagon‐like peptide‐1, and gastric emptying after oral glucose, in type 2 diabetes

The gastrointestinal tract, particularly the lower gut, may be key to the anti‐diabetic action of metformin. We evaluated whether administration of metformin into the distal, vs the proximal, small intestine would be more effective in lowering plasma glucose by stimulating glucagon‐like pepetide‐1 (GLP‐1) and/or slowing gastric emptying (GE) in type 2 diabetes (T2DM).
Pediatric Case Series of Cystic Fibrosis, Diabetes, and Islet Cell Autoimmunity

Diabetes is the most common comorbidity in individuals with cystic fibrosis (CF). Among people with CF, the prevalence of CF-related diabetes (CFRD) is estimated to be 2% in children, 19% in adolescents, 40% in individuals in their 20s, and 45–50% in those ≥30 years of age (1). CFRD shares some aspects with type 1 diabetes in that it is primarily due to insulin deficiency, but it is distinguished from type 1 diabetes because of its insidious onset over years and the persistence of some insulin production long after diagnosis, which makes diabetic ketoacidosis (DKA) very rare in CFRD (2). Routine screening for type 1 diabetes autoantibodies is not recommended for patients with CF and hyperglycemia (3). However, the following three cases illustrate certain instances that may warrant checking for type 1 diabetes autoantibodies (i.e., hyperglycemia before age 10, symptomatic presentation, and DKA; increasing insulin requirement; or presence of other autoimmune diseases or family history of autoimmune diseases in a CF patient). ### Patient 1 Patient 1 is a non-Hispanic white male with CF (genotype delta F508 homozygous), pancreatic insufficiency, and CF-related liver disease who presented at 16 years of age with polyuria, polydipsia, dry mouth, and weight loss of 5 kg over 3 months. His family history was positive for hypothyroidism in his father and CF in his sister and negative for diabetes. His height was 152 cm (<1st percentile), his weight was 41.6 kg (<1st percentile), and his BMI was 18.0 kg/m2 (12th percentile). Physical examination showed normal mental status, no Kussmaul breathing, dry mucous membranes, and clubbing. Laboratory evaluation revealed fasting glucose of 350 mg/dL, pH 7.42, bicarbonate 24 mEq/L, blood urea nitrogen (BUN) 22 mg/dL, and creatinine 0.6 mg/dL. Urinalysis showed +3 glucose and +1 ketones. His C-peptide level was 1.1 ng/mL (normal range 1.1–4.4 ng/mL), and his …
Medical Student Use of Electronic and Paper Health Records During Inpatient Clinical Clerkships: Results of a National Longitudinal Study

Purpose An important goal of medical education is to teach students to use an electronic health record (EHR) safely and effectively. The purpose of this study is to examine medical student accounts of EHR use during their core inpatient clinical clerkships using a national sample. Paper health records (PHRs) are similarly examined. Method An online survey about health record use within the inpatient component of six core clerkships was administered to medical students after they completed Step 2 Clinical Knowledge of the United States Medical Licensing Examination. The sample included 17,202 U.S. medical students graduating between 2012 and 2016. Mean percentages of clerkships in which students engaged in various health record activities were computed, and analysis of variance was used to examine differences. Results The mean percentages of clerkships in which a student accessed or entered information into an EHR increased from 78% to 93% and 59% to 72%, respectively. For students who used an EHR, the mean percentage of clerkships in which they entered information remained constant at 76%. Students entered notes during the majority of their clerkships, with increases over time. However, students entered orders in less than a quarter of their clerkships, with decreases over time. The percentage of clerkships in which students used PHRs was lower and declining. Conclusions Although students used an EHR in the majority of their inpatient core clerkships, they received limited educational experiences related to order and note writing, which could translate into a lack of preparedness for future training and practice.
A Q-Learning Method for Scheduling Shared EVs Under Uncertain User Demand and Wind Power Supply

The last few years have witnessed the fast rise of sharing economy around the world. Thanks to the rapid development of electric vehicle industry and its higher market share, the business of shared electric vehicles (EVs) gains the opportunity to expand. With the improvements in charging facilities, wind power generation of high-rise buildings is expected to be a major technology to utilize renewable energy in cities. While the intermittence of wind power makes it hard to be used. Shared EVs are the perfect users of wind power for their flexibilities in using and charging. However, the scheduling of shared EVs is highly challenging because of the randomness both in wind power supply and the user demand. We address this important problem in this paper. We formulate the scheduling of shared EVs in the framework of Markov decision process. An agent-based state is defined, based on which a distributed optimization algorithm can be applied. We propose a Q-learning algorithm to solve the problem of scheduling shared EVs to maximize the global daily income. Both the users' uncertain demand and stochastic wind power supply are considered. The performance of the proposed algorithm is illustrated by numerical experiments.
Provision of Sexually Transmitted Infection Services in a Mobile Clinic Reveals High Unmet Need in Remote Areas of South Africa: A Cross-sectional Study

Background The burden of sexually transmitted infections (STIs) in areas of sub-Saharan Africa with poor access to health care services is not well documented. In remote areas of South Africa, we investigated the prevalence of STIs and approaches to providing STI services through a mobile clinic. Methods We recruited 251 adult women visiting a mobile clinic that normally provides general health education and screening services, but not STI care. Clinical and sexual history was obtained and vaginal specimens were tested for Chlamydia trachomatis, Neisseria gonorrhoeae, Trichomonas vaginalis, and Mycoplasma genitalium infection and for Candida albicans and bacterial vaginosis. Results Laboratory test was positive for 133 (53%) of 251 women for at least 1 STI: C. trachomatis was observed in 52 (21%) women, N. gonorrhoeae in 39 (16%) women, T. vaginalis in 81 (32%) women and M. genitalium in 21 (8%) women. Eighty-one (32%) women met the criteria for vaginal discharge syndrome, of which 58% (47/81) would have been treated accurately. Among asymptomatic women 84 (49%) of 170 were diagnosed with an STI but untreated under the syndromic approach. We could not identify factors associated with asymptomatic STI infection. Conclusions There is a high unmet need for STI care in rural South African settings with poor access to health care services. Provision of STI services in a mobile clinic using the syndromic management approach provides a useful approach, but would have to be enhanced by targeted diagnostics to successfully address the burden of infection.
Robust Pattern Recognition Myoelectric Training for Improved Online Control within a 3D Virtual Environment

It has been shown that maintaining a neutral arm position during collection of pattern recognition training data for myoelectric prosthesis control results in high offline classification accuracies; however, that precision does not translate to real-time applications, when the arm is used in different positions. Previous studies have shown that collecting training data with the arm in a variety of positions can improve pattern recognition control systems. In this work, we extended these findings to real-time myoelectric control in an immersive testing environment using virtual reality. We show that collecting training data for a pattern recognition algorithm under dynamic conditions, where the user moves their arm, significantly improves control efficiency and achievement of testing metrics.
Preliminary Study of Time to Recovery of Rat Sciatic Nerve from High Frequency Alternating Current Nerve Block

High-Frequency alternating current nerve block has great potential for neuromodulation-based therapies. However, no precise measurements have been made of the time needed for nerves to recover from block once the signal has been turned off. This study aims to characterise time to recovery of the rat sciatic nerve after 30 seconds of block at varying amplitudes and frequencies. Experiments were carried out invivo to quantify recovery times and recovery completeness within 0.7 s from the end of block. The sciatic nerve was blocked with an alternating square wave signal of amplitude and frequency ranging from 2 to 9mA and 10 to 50 kHz respectively. To determine the recovery dynamics the nerve was stimulated at 100 Hz after cessation of the blocking stimulus. Electromyogram signals were measured from the gastrocnemius medialis and tibialis anterior muscles during trials as indicators of nerve function. This allowed for nerve recovery to be measured with a resolution of 10 ms. This resolution is much greater than previous measurements of nerve recovery in the literature. Times for the nerve to recover to a steady state of activity ranged from 20 to 430 milliseconds and final relative recovery activity at 0.7 seconds spanned 0.2 to 1 approximately. Higher blocking signal amplitudes increased recovery time and decreased recovery completeness. These results suggest that blocking signal properties affect nerve recovery dynamics, which could help improve neuromodulation therapies and allow more precise comparison of results across studies using different blocking signal parameters.
Proposal for Economic Analysis of Cloud Computing in the Technical Wholesale

Cloud computing is becoming increasingly important as it is recognizable in the growing market of services in the IT infrastructure, development platforms and software sectors. For companies in the technical wholesale sector, this results in new opportunities to reorient their IT needs. The central assessment criterion here is the economic benefits that arise from the use of cloud offerings in comparison to the acquisition and operation of company-owned it. A comprehensive assessment by the company includes both quantitative and qualitative factors, which suggests an enhanced cost-benefit analysis for cloud computing. For this reason, these contributions formulate approaches that enable a costeffectiveness view of cloud computing in enterprise use and support the comparison to the acquisition and operation of company-owned systems.