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| 1 | Neural Mechanisms of Mental Fatigue Revisited: New Insights from the Brain Connectome显示文摘Maintaining sustained attention during a prolonged cognitive task often comes at a cost: high levels of mental fatigue. Heuristically, mental fatigue refers to a feeling of tiredness or exhaustion, and a disengagement from the task at hand;it manifests as impaired cognitive and behavioral performance. In order to effectively reduce the undesirable yet preventable consequences of mental fatigue in many real-world workspaces, a better understanding of the underlying neural mechanisms is needed, and continuous efforts have been devoted to this topic. In comparison with conventional univariate approaches, which are widely utilized in fatigue studies, convergent evidence has shown that multivariate functional connectivity analysis may lead to richer information about mental fatigue. In fact, mental fatigue is increasingly thought to be related to the deviated reorganization of functional connectivity among brain regions in recent studies. In addition, graph theoretical analysis has shed new light on quantitatively assessing the reorganization of the brain functional networks that are modulated by mental fatigue. This review article begins with a brief introduction to neuroimaging studies on mental fatigue and the brain connectome, followed by a thorough overview of connectome studies on mental fatigue. Although only a limited number of studies have been published thus far, it is believed that the brain connectome can be a useful approach not only for the elucidation of underlying neural mechanisms in the nascent field of neuroergonomics, but also for the automatic detection and classification of mental fatigue in order to address the prevention of fatigue-related human error in the near future. | Peng Qi Hua Ru Lingyun Gao Xiaobing Zhang Tianshu Zhou Yu Tian Nitish Thakor Anastasios Bezerianos Jinsong Li Yu Sun | 2019 | Engineering2019，5，2： | 5 |
| 2 | Exploring a need for improved preclinical models of post-stroke depression显示文摘Depression is one of the most common neuropsychiatric disorders associated with stroke.One in three patients who suffer from a stroke,report having depression-like symptoms.The mean prevalence for major and minor depression amongst stroke in patients is 21.6%and 20.0%respectively;the | Nitish Mittal Patricia D.Hurn Timothy Schallert | 2016 | Neural Regeneration Research2016，11，4： | 4 |
| 3 | Systems Neuroengineering: Understanding and Interacting with the Brain显示文摘In this paper, we review the current stateof-the-art techniques used for understanding the inner workings of the brain at a systems level. The neural activity that governsour everyday lives involves anintricate coordination of many processes that can be attributed to a variety of brain regions. On the surface, many of these functions can appear to be controlled by speciflc anatomical structures; however, in reality, numerous dynamic networks within the brain contribute to its function through an interconnected web of neuronal and synaptic pathways. The brain, in its healthy or pathological state, can therefore be best understood by taking a systems-level approach. While numerous neuroengineering technologies exist, we focus here on three major thrusts in the field of systems neuroengineering: neuroimaging, neural interfacing, and neuromodulation. Neuroimaging enables us to delineate the structural and functional organization of the brain, which is key in understanding how the neural system functions in both normal and disease states. Based on such knowledge, devices can be used either to communicate with the neural system, as in neural interface systems, or to modulate brain activity, as in neuromodulation systems. The consideration of these three fields is key to the development and application of neuro-devices. Feedback-based neuro-devices require the ability to sense neural activity(via a neuroimaging modality) through a neural interface(invasive or noninvasive) and ultimately to select a set of stimulation parameters in order to alter neural function via a neuromodulation modality. Systems neuroengineering refers to the use of engineering tools and technologies to image, decode, and modulate the brain in order to comprehend its functions and to repair its dysfunction. Interactions between these fields will help to shape the future of systems neuroengineering—to develop neurotechniques for enhancing the understanding of wholebrain function and dysfunction, and the management of neurological and mental disorders. | Bradley J.Edelman Nessa Johnson Abbas Sohrabpour Shanbao Tong Nitish Thakor Bin He | 2015 | Engineering2015，1，3： | 3 |
| 4 | 妊娠合并宫颈癌的诊疗进展显示文摘近年来由于高龄生育妇女比例增加,致使妊娠期合并妇科恶性肿瘤的发病率有所上升。其中最为常见的妊娠期妇科恶性肿瘤为宫颈癌,占71.6%;其次是卵巢恶性肿瘤,占7.0%。妊娠合并宫颈癌的发病率较低,且症状易与妊娠期疾病相混淆,妇科特殊检查也因妊娠而有所限制,因此误诊或漏诊率较高。妊娠期宫颈癌的治疗与患者肿瘤大小、病理类型、妊娠时间、淋巴结受累情况及患者维持妊娠的意愿等多种因素有关,故目前难以确定最佳治疗方案。为了在有效治疗肿瘤和保护胎儿健康之间取得平衡,避免延误治疗和早产,现就妊娠合并宫颈癌的诊治进展进行综述。 | 史著俊 王金华 吴东辰 Nitish Beharee | 2019 | 中国肿瘤外科杂志2019，11，3： | 2 |
| 5 | Role of angiotensin-converting enzyme inhibitors and angiotensin receptor blockers in cryoballoon ablation outcomes for paroxysmal atrial fibrillation显示文摘BACKGROUND Cryoballoon ablation(CBA)is recommended for patients with paroxysmal atrial fibrillation(AF)refractory to antiarrhythmic drugs.However,only 80%of patients benefit from initial CBA.There is growing evidence that pretreatment with angiotensin-converting enzyme inhibitors(ACEIs)and angiotensin receptor blockers(ARBs)decreases the recurrence of AF postablation,particularly in nonparoxysmal AF undergoing radiofrequency ablation.The role of ACEIs and ARBs in patients with paroxysmal AF in CBA remains unknown.We decided to investigate the role of ACEIs and ARBs in preventing the recurrence of atrial arrhythmia(AA)following CBA for paroxysmal AF.AIM To investigate the role of ACEIs and ARBs in preventing recurrence of AA following CBA for paroxysmal AF.METHODS We followed 103 patients(age 60.6±9.1 years,29%women)with paroxysmal AF undergoing CBA 1-year post procedure.Recurrence was assessed by documented AA on electrocardiogram or any form of long-term cardiac rhythm monitoring.A multivariable Cox proportional hazard model was used to assess if ACEI or ARB treatment predicted the risk of AA recurrence.RESULTS After a 1-year follow-up,19(18.4%)participants developed recurrence of AA.Use of ACEI or ARB therapy was noted in the study population.Patients on ACEI/ARB had a greater prevalence of hypertension and coronary artery disease.On a multivariate model adjusted for baseline demographics and risk factors for AF,ACEI or ARB therapy did not prevent recurrence of AA following CBA(P=0.72).Similarly,on Kaplan–Meier analysis pretreatment with ACEI/ARB did not predict the time to first recurrence of AA(P=0.2173).CONCLUSION In our study population,preablation treatment with an ACEI or ARB had no influence on the recurrence of AA following CBA for paroxysmal AF. | Ibragim Al-Seykal Abhishek Bose Parag A Chevli Zeba Hashmath Nitish Sharma Ajay K Mishra Douglas Laidlaw | 2022 | World Journal of Cardiology2022，14，10： | 2 |
| 6 | An Analysis of Integrating Machine Learning in Healthcare for Ensuring Confidentiality of the Electronic Records显示文摘The adoption of sustainable electronic healthcare infrastructure has revolutionized healthcare services and ensured that E-health technology caters efficiently and promptly to the needs of the stakeholders associated with healthcare.Despite the phenomenal advancement in the present healthcare services,the major obstacle that mars the success of E-health is the issue of ensuring the confidentiality and privacy of the patients’data.A thorough scan of several research studies reveals that healthcare data continues to be the most sought after entity by cyber invaders.Various approaches and methods have been practiced by researchers to secure healthcare digital services.However,there are very few from the Machine learning(ML)domain even though the technique has the proactive ability to detect suspicious accesses against Electronic Health Records(EHRs).The main aim of this work is to conduct a systematic analysis of the existing research studies that address healthcare data confidentiality issues through ML approaches.B.A.Kitchenham guidelines have been practiced as a manual to conduct this work.Seven well-known digital libraries namely IEEE Xplore,Science Direct,Springer Link,ACM Digital Library,Willey Online Library,PubMed(Medical and Bio-Science),and MDPI have been included to performan exhaustive search for the existing pertinent studies.Results of this study depict that machine learning provides a more robust security mechanism for sustainable management of the EHR systems in a proactive fashion,yet the specified area has not been fully explored by the researchers.K-nearest neighbor algorithm and KNIEM implementation tools are mostly used to conduct experiments on EHR systems’log data.Accuracy and performance measure of practiced techniques are not sufficiently outlined in the primary studies.This research endeavour depicts that there is a need to analyze the dynamic digital healthcare environment more comprehensively.Greater accuracy and effective implementation of ML-based models are the need of the day for ensuring the confidentiality of EHRs in a proactive fashion. | Adil Hussain Seh Jehad F.Al-Amri Ahmad F.Subahi Alka Agrawal Nitish Pathak Rajeev Kumar Raees Ahmad Khan | 2022 | Computer Modeling in Engineering & Sciences2022，，3： | 1 |
| 7 | An Electrocardiographic Scoring System for Distinguishing Right Ventricular Outflow Tract Arrhythmias in Patientswith Arrhythmogenic Right Ventricular Cardiomyopathy from Idiopathic Ventricular Tachycardia显示文摘 | Kurt S. Hoffmayer Prashant D. Bhave Gregory M. Marcus Cynthia A. James Crystal Tichnell Nagesh Chopra Laura Wood Andrew D. Krahn Sanjay Dixit William Stevenson Hugh Calkins Nitish Badhwar Edward P. Gerstenfeld Melvin M. Scheinman | 2012 | Heart Rhythm2012，，： | 1 |
| 8 | A branch-and-price algorithm to solve the integrated berth allocation and yard problem in bulk ports显示文摘 | Tomas Robenek Nitish Umang Michel Bierlaire Stefan Ropke | 2014 | European Journal of Operational Research2014，，： | 1 |
| 9 | Urinary Melamine: The proposed parameter of melamine adulteration of food显示文摘 | Nitish Rai Dibyajyoti Banerjee Rajasri Bhattacharyya | 2013 | Nutrition2013，，： | 1 |
| 10 | A randomized controlled clinical trial on the clinical and microbiological efficacy of systemic satranidazole in the treatment of chronic periodontitis显示文摘 | AR Pradeep N Priyanka Nitish | 2013 | Journal of the International Academy of Periodontology2013，15，2： | 1 |
| 11 | Slope analysis of somatosensory evoked potentials in spinal cord injury for detecting contusion injury and focal demyelination显示文摘 | Gracee Agrawal David Sherman Anil Maybhate Michael Gorelik Douglas A. Kerr Nitish V. Thakor Angelo H. All | 2010 | Journal of Clinical Neuroscience2010，，9： | 1 |
| 12 | Electrophysiologic properties of para-Hisian atrial tachycardia 显示文摘 | SEI I NITISH B STEVEN M | 2011 | Heart Rhythm2011，8，8： | 1 |
| 13 | Characterization of Graded Multicenter Animal Spinal Cord Injury Study Contusion Spinal Cord Injury Using Somatosensory-Evoked Potentials显示文摘 | Gracee Agrawal Candace Kerr Nitish V. Thakor Angelo H. All | 2010 | Spine2010，，11： | 1 |
| 14 | A randomized con- trolled clinical trial on the clinical and microbiological effi- cacy of systemic satranidazole in the treatment of chronic periodontitis显示文摘 | A R Pradeep N Priyanka Nitish | 2013 | Journal of the International Academy of Periodontology2013，15，2： | 1 |
| 15 | Structural and electrical properties of ferroelectric BiFeO_(3)/HfO_(2) gate stack for nonvolatile memory applications显示文摘Difficulties in the fabrication of direct interface of ferroelectric BiFeO_(3)/HfO_(2) on the gate of ferroelectric field effect transistor(FeFET)is well known.This paper reports the optimization and fabrication of ferroelectric/dielectric(BiFeO_(3)/HfO_(2))gate stack for the FeFET applications.RF magnetron sputtering has been used for the deposition of BiFeO_(3),HfO_(2) films and their stack.X-Ray diffraction(XRD)analysis of BiFeO_(3) shows the dominant perovskite phase of(104),(110)orientation at 2θ=32°at the annealing temperature of 500℃.XRD analysis also confirms the amorphous nature of the HfO2 film at annealing temperature of 400℃,500℃ and 600℃.Multiple angle analysis shows the variation ion the refractive index between 2.98–3.0214 for BiFeO_(3) and 2.74–2.9 for the HfO2 film with the annealing temperature.Metal/Ferroelectric/Silicon(MFS),Metal/Ferroelectric/Metal(MFM),Metal/Insulator/Silicon(MIS),and Metal/Ferroelectric/Insulator/Silicon(MFIS)structures have been fabricated to obtain the electric characteristic of the ferroelectric,dielectric and their stacks.Electrical characteristics of the MFIS structure show the memory improvement from 2.7 V for MFS structure to 4.65 V for MFIS structure with 8 nm of buffer dielectric layer.This structure also shows the breakdown voltage of 40 V with data retention capacity greater than 9×10^(9)iteration cycles. | Nitish Yadav Kamal Prakash Pandey Pramod Narayan Tripathiy | 2018 | Journal of Advanced Dielectrics2018，8，5： | 1 |
| 16 | Supraventricular Tachycardia-Part II:History,Presentation,Mechanism,and Treatment显示文摘 | Ken W Lee Nitish Badhwar Melvin MScheinman | 2008 | Current Problems in Cardiology2008，33，10： | 1 |
| 17 | Pericardial decompression syndrome: A comprehensive review显示文摘Pericardial decompression syndrome(PDS)is an infrequent,life-threatening complication following pericardial drainage for cardiac tamponade physiology.PDS usually develops after initial clinical improvement following pericardiocentesis and is significantly underreported and may be overlooked in the clinical practice.Although the precise mechanisms resulting in PDS are not well understood,this seems to be highly associated with patients who have some underlying ventricular dysfunction.Physicians performing pericardial drainage should be mindful of the risk factors associated with the procedure including the rare potential for the development of PDS. | Yougeesh Prabhakar Amandeep Goyal Nauman Khalid Nitish Sharma Raj Nayyar David H Spodick Lovely Chhabra | 2019 | World Journal of Cardiology2019，11，12： | 1 |
| 18 | An adaptive estimation of peri- odic signals using a Fourier linear combiner显示文摘 | Vaz C Kong X Thakor Nitish | 1994 | /EEE Trans on Signal Processing1994，42，1： | 1 |
| 19 | Spectral analysis methods for neurological signals 显示文摘 | Jitendran M Thakor Nitish V | 1998 | Journal of Neuroscience Methods1998，83，1： | 1 |
| 20 | Efficient Differentiation of Human Embryonic Stem Cells into Oligodendrocyte Progenitors for Application in a Rat Contusion Model of Spinal Cord Injury显示文摘 | Candace L. Kerr Brian S. Letzen Christine M. Hill Gracee Agrawal Nitish V. Thakor Jared L. Sterneckert John D. Gearhart Angelo H. All | 2010 | International Journal of Neuroscience2010，，4： | 1 |
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