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Clinical and biochemical predictors of intensive care unit admission among patients with diabetic ketoacidosis

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World Journal of Diabetes 2023年第3期14卷 271-278页

作者： adeel Ahmad khan Fateen Ata Phool Iqbal Mohammed Bashir Anand Kartha Department of Endocrinology Hamad Medical CorporationDoha 00000Qatar Department of Medicine Metropolitan Hospital CenterNew YorkNY 10595United States Department of Medicine Hamad Medical CorporationDoha 00000Qatar

BACKGROUND Diabetic ketoacidosis(DKA)contributes to 94%of diabetes-related hospital admissions,and its incidence is *** to the complexity of its management and the need for rigorous monitoring,many DKA patients are managed in the intensive care unit(ICU).However,studies comparing DKA patients managed in ICU to non-ICU settings show an increase in healthcare costs without significantly affecting patient *** is,therefore,essential to identify suitable candidates for ICU care in DKA *** To evaluate factors that predict the requirement for ICU care in DKA *** This retrospective study included consecutive patients with index DKA episodes who presented to the emergency department of four general hospitals of Hamad Medical Corporation,Doha,Qatar,between January 2015 and March *** adult patients(>14 years)fulfilling the American Diabetes Association criteria for DKA diagnosis were *** We included 922 patients with DKA in the final analysis,of which 229(25%)were managed in the *** to non-ICU patients,patients admitted to ICU were older[mean(SD)age of 40.4±13.7 years vs 34.5±14.6 years;P<0.001],had a higher body mass index[median(IQR)of 24.6(21.5-28.4)kg/m2 vs 23.7(20.3-27.9)kg/m2;P<0.030],had T2DM(61.6%)and were predominantly males(69%vs 31%;P<0.020).ICU patients had a higher white blood cell count[median(IQR)of 15.1(10.2-21.2)×103/uL vs 11.2(7.9-15.7)×103/uL,P<0.001],urea[median(IQR)of 6.5(4.6-10.3)mmol/L vs 5.6(4.0-8.0)mmol/L;P<0.001],creatinine[median(IQR)of 99(75-144)mmol/L vs 82(63-144)mmol/L;P<0.001],C-reactive protein[median(IQR)of 27(9-83)mg/L vs 14(5-33)mg/L;P<0.001]and anion gap[median(IQR)of 24.0(19.2-29.0)mEq/L vs 22(17-27)mEq/L;P<0.001];while a lower venous pH[mean(SD)of 7.10±0.15 vs 7.20±0.13;P<0.001]and bicarbonate level[mean(SD)of 9.2±4.1 mmol/L vs 11.6±4.3 mmol/L;P<0.001]at admission than those not requiring ICU management of DKA(P<0.001).Patients in the ICU group had a longer LOS[median(IQR)of

关键词： Diabetic ketoacidosis Type 1 diabetes mellitus Type 2 diabetes mellitus Intensive care unit Critical care outcomes Length of stay

Psychometric properties of the Urdu version of the Hospital Anxiety and Depression Scale(HADS)among pregnant women in Abbottabad,Pakistan

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General Psychiatry 2020年第5期33卷 311-318页

作者： Fahad Saqib Lodhi Aymen M Elsous Saadia Irum adeel Ahmed khan Unaib Rabbani Community Medicine Department Women Medical CollegeAbbottabadPakistan School of public Health Department of Epidemiology and BistatisticsTehran University of Medical SciencesTehranIran Unit of Planning and Policy Formulation Ministry of HealthGaza StripPalestine College of medical sciences Israa universityGaza stripPalestine Department of Gynecology and Obstetrics Ayub Medical CollegeAbbottabadPakistan Ministry of Health Saudi Board Preventive MedicineMeccaSaudi Arabia Ministry of Health Family Medicine AcademyQassimSaudi Arabia

Background The Hospital Anxiety and Depression Scale(HADS)is a widely used instrument to measure anxiety and depression *** This study aimed to translate,validate and test the applicability of the Urdu version of the Hospital Anxiety and Depression Scale(HADS/UV)among pregnant *** The original English version of the HADS was translated into Urdu by three bilingual experts and retranslated to English using the forward-backward *** questionnaire was administered to a sample of 200 pregnant women availing obstetrics and gynaecology services for routine prenatal checkups of Ayub Teaching Hospital,Abbottabad,*** properties of the instrument,including reliability(internal consistency,test-retest analysis and interitems correlation),were *** and content validity were also *** Validity Index(CVI)was determined using the average approach and ItemLevel Content Validity Index(I-CVI)and Scale-Level Content Validity Index(S-CVI)were calculated *** validity was examined through exploratory factor *** Cronbach's alpha coefficient has been found to be 0.82 for the anxiety subscale and 0.64 for the depression subscale,while overall alpha of the HADS/UV is *** Urdu version is content valid,and the SCVI of anxiety subscale,depression subscale and HADS/UV are 0.947,948 and 0.947,***-retest reliability is 0.884 and 0.934 as measured by Pearson correlation and intraclass correlation,***/UV items correlated positively with the whole scale(p<0.001).Factor analysis with varimax rotation revealed that two factors explained 42.75%of the ***'distribution was quite similar to the original *** The HADS/UV is a psychometrically sound instrument with satisfactory measurement,including good internal *** instrument shows promise to be a sound tool to assess anxiety and depression in pregnancy.

关键词： instrument routine Abbott

Extracellular vesicles based electrochemical biosensors for detection of cancer cells:A review

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Chinese Chemical Letters 2020年第7期31卷 1737-1745页

作者： Hui Xie Kaili Di Rongrong Huang adeel khan Yanyan Xia Hongpan Xu Chang Liu Tingting Tan Xinyu Tian Han Shen Nongyue He Zhiyang Li Department of Clinical Laboratory Nanjing Drum Tower Hospital Clinical College of Xuzhou Medical UniversityNanjing 210008China Department of Clinical Laboratory Yizheng Hospital of Nanjing Drum Tower Hospital Group.Yizheng 211900China Department of Clinical Laboratory the Affiliated Drum Tower Hospital of Nanjing University Medical SchoolNanjing 210008China State Key Laboratory of Bioelectronics School of Biological Science and Medical EngineeringNational Demonstration Center for Experimental Biomedical Engineering Education(Southeast University)Southeast UniversityNanjing 210096China Economical Forest Cultivation and Utilization of 2011 Collaborative Innovation Center in Hunan Province Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhou 412007China

Extracellular vesicles(EVs)derived from cancer cells are considered as ideal biomarker for liquid biopsy in cancer diagnosis,and are stable and *** methods for the detection of EVs are prefe rred over co nventional methods such as Western blotting and enzyme-linked immunosorbent assay for their high sensitivity and real-time *** article summaries studies proposing the electrochemical methods utilizing immunological and molecular methodologies for detecting EVs derived biomacromolecules such as miRNAs and transme mbrane protein for cancer ***,the electrochemical detection methods are compared and future prospects for the development of electrochemical methods for EVs detection are concluded.

关键词： Cancerous Extracellular vesicles Electrochemical Biosensors Detection

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基于脑电图分析的音乐减轻心理压力的研究

基于脑电图分析的音乐减轻心理压力的研究

作者： Muhammad adeel khan 上海交通大学

学位级别：硕士

压力是人们在感受到威胁时产生的一种情绪反应,并且很多人都在遭受着压力情绪的折磨。有明确证据表明这种情绪可能会导致身心健康受损,而且如果处理不当,甚至可能导致严重的恶性和慢性疾病。压力情绪可以通过采用各种压力管理措施来进... 详细信息

压力是人们在感受到威胁时产生的一种情绪反应,并且很多人都在遭受着压力情绪的折磨。有明确证据表明这种情绪可能会导致身心健康受损,而且如果处理不当,甚至可能导致严重的恶性和慢性疾病。压力情绪可以通过采用各种压力管理措施来进行控制,比如冥想、瑜伽、均衡饮食、运动以及听音乐等这些没有副作用的方法。而其中听音乐可以通过让人产生强烈的情绪反应来缓解压力情绪,并且听音乐可以和其他日常工作同时进行,不需要专门安排时间,所以是一种很好的减压方式。以前的大多数研究都关注于利用EEG信号研究音乐对减压的作用,但在这里我们对听音乐的时间顺序以及不同类型音乐的减压作用进行了研究。为了实现该目标,本文通过分析由脑电图（EEG）记录的神经活动变化情况,研究了是否听音乐、所听音乐的流派（例如,古典音乐与个人首选音乐）以及听音乐的时序安排（例如,在激发压力情绪的时段之前,期间以及之后听音乐）对压力情绪的协同作用效果。本研究使用一组神经源性应激刺激（如stroop颜色词任务,心算任务和语音）来激发压力情绪,并对56名健康参与者进行了测试,每名参与者都被要求根据由斯皮尔伯格得出的状态-特质焦虑量表（STAI）中的Y-1表来标记他们的压力水平。本研究采用一套八通道的商业检测装置（Starstim,NeuroElectric,Barcelona Spain）记录 EEG 数据。EEG信号由以下五个频带组成;α,β,0,δ和γ带。本文利用一种名为额叶α波不对称性（FAA）的EEG生物标记值来区分受压状态和正常状态,FAA可以通过计算右侧采样位置相对左侧采样位置的α波强度的自然对数差值得到。除此之外,本文还计算了 θ波,α波和β波的强度平均值。根据提取的特征和统计参数,可以清楚地看到,与自选音乐和静音休息相比,听古典音乐能够更好更有效地缓解压力情绪。本文使用最小显着性差异（LSD）事后检验以及方差分析方法（ANOVA）来分析实验结果。而双向ANOVA测试显示,听音乐的时序,即在压力激发时段之前、期间或之后听音乐对减压效果都没有太大影响。实验结果表明,与以前其他的研究相比,我们设计的实验研究方法的条理更加明晰,且操作方式也更加简洁。

关键词：压力情绪音乐流派额叶不对称性小波特征提取脑电图

Progress in electrocatalytic nitrate reduction for green energy:Catalyst engineering,mechanisms,and techno-economic feasibility

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Journal of Energy Chemistry 2024年第8期95卷 380-406,I0009页

作者： Hafiz Muhammad adeel Sharif Hafiz Muhammad Farooq khan Sadeeq Ullah Yuwei Wang Muhammad Ahmad Bo Yang Changping Li Muhammad Bilal Asif Research Center for Eco-Environmental Engineering Dongguan University of TechnologyDongguan 523808GuangdongChina College of Chemistry and Engineering Shenzhen UniversityShenzhen 518060GuangdongChina FMH College of Medicine and Dentistry LahorePakistan School of Environment and Civil Engineering Research Center for Eco-Environment EngineeringDongguan University of TechnologyDongguan 523106GuangdongChina Advanced Membranes and Porous Materials Center(AMPMC) Physical Sciences and Engineering(PSE)King Abdullah University of Science and Technology(KAUST)Thuwal 23955Saudi Arabia

Ammonia(NH_(3))is an irreplaceable chemical that has been widely demanded to keep the sustainable development of modern ***,its industrial production consumes a huge amount of energy and releases extraordinary greenhouse gases(GHGs),leading to various environmental *** the green production of ammonia is a great challenge,which has been extensively pursued in the last *** this review,the most promising strategy,electrochemical nitrate reduction reaction(e-NO_(3)RR),is comprehensively investigated to give a complete understanding of its development and mechanism and provide guidance for future ***,owing to the complex reactions and limited selectivity,a comprehensive understanding of the mechanisms is crucial to further development and ***,NO_(3)^(-)RR is a promising strategy for simultaneous water treatment and NH_(3)production.A detailed overview of the recent progress in NO_(3)^(-)RR for NH_(3)production with nontransition and transition metal based electrocatalysts is *** addition,critical advanced techniques,future challenges,and prospects are discussed to guide future research on transition metal-based catalysts for commercial NH_(3)synthesis by NO_(3)^(-)reduction.

关键词： Nitrate reduction Electrolysis Pollution to solution Transition metal catalysts Ammonia synthesis Green energy

Revisiting the N=1 supersymmetric trinification models from intersecting D6-branes

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Communications in Theoretical Physics 2024年第9期76卷 27-36页

作者： adeel Mansha Tianjun Li Mudassar Sabir Department of Physics Zhejiang Normal UniversityJinhua 321004China Zhejiang Institute of Photoelectronics Zhejiang Normal UniversityJinhua 321004China Centre For High Energy Physics University of the PunjabLahore 54590Pakistan CAS Key Laboratory of Theoretical Physics Institute of Theoretical PhysicsChinese Academy of SciencesBeijing 100190China School of Physical Sciences University of Chinese Academy of SciencesBeijingChina School of Physics University of Electronic Science and Technology of ChinaChengduSichuan 611731China

We revisit the construction of the N=1 supersymmetric trinification models with gauge group U(3)_(C)×U(3)_(L)×U(3)_(R) in TypeⅡA string theory on T^(6)(Z_(2)×Z_(2))orientifold with intersecting *** non-trivial K-theory conditions and tadpole cancellation conditions severely restrict the number of allowed models even for the case of rectangular *** a supervised search algorithm,we find a few four-family models where the highest wrapping number is *** these models,we present the complete particle spectra and the gauge coupling relations at the string-scale.

关键词： string phenomenology D branes trinification

Comparative Study on Quantitative and Qualitative Characters of Different Oat (<i>Avena sativa</i>L.) Genotypes under Agro-Climatic Conditions of Sargodha, Pakistan

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American Journal of Plant Sciences 2014年第20期5卷 3097-3103页

作者： adeel khan Maqbool Hussain Anjum Muhammad Khashi U. Rehman Qamar uz Zaman Raza Ullah Department of Plant Breeding and Genetics University of Agriculture Faisalabad Pakistan Fodder Research Institute Sargodha Pakistan Department of Horticulture PMAS-Arid Agriculture University Rawalpindi Pakistan Department of Agronomy University of Agriculture Faisalabad Pakistan

An experiment was conducted to compare the forage yield and qualify of oat (Avena sativa L.) genotypes (F-413, SGD-46, F-408, F-301, SGD-2011, SGD-3, SGD-37, SGD-40, SGD-5 and S-2000) at Fodder Research Institute, Sargodha, Pakistan during the year 2011 to 2012. Experiment was laid out in randomized complete block design (RCBD) having three replications and a net plot of size 1.6 × 5 m. The varieties were differed significantly (P ≤ 0.05) in yield, growth and quality parameters. The variety SGD-40 produced significantly higher green forage yield (80.00 t·ha-1) and dry matter yield (10.95 t·ha-1) than other varieties due to taller plants (145.73 cm), more number of tillers (7.78 m-2) and leaf area per plant (95.08 cm2). It also had the highest crude protein percentage (13.84%). Correlation analysis of quantitative and qualitative characters indicated the strongly positive association of green forage yield with dry matter, crude protein and ash content. While green forage yield was negatively correlated with the number of tillers per plant, keeping in view both forage yield and crude protein contents the genotype SGD-40 grown under the condition of Sargodha (Pakistan).

关键词： Crude Protein Crude Fiber Forage Yield Genotypes

Neurological diseases caused by coronavirus infection of the respiratory airways

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Brain Science Advances 2020年第4期6卷 324-343页

作者： Waqas Ahmed adeel khan Wish Hal Sundar Humaira Naseem Wanghao Chen Jia Feng Samran Durrani Lukui Chen Department of Neurosurgery Neuroscience CenterCancer CenterIntegrated Hospital of Traditional Chinese MedicineSouthern Medical UniversityGuangzhou 510310GuangdongChina School of Medicine Southeast UniversityNanjing 210009JiangsuChina School of Biological Science and Medical Engineering Southeast UniversityNanjing 210009JiangsuChina Department of Medicine Dow University of Health SciencesKarachiSindhPakistan Department of General Surgery Allied Hospital FaisalabadPunjabPakistan

Infections of the central nervous system(CNS)infections are critical problems for public *** are caused by several different organisms,including the respiratory coronaviruses(Co Vs).Co Vs usually infect the upper respiratory tract causing the common ***,in infants,and in elderly and immunocompromised persons,they can also affect the lower respiratory tract causing pneumonia and various syndromes of respiratory *** Vs also have neuroinvasive capabilities because they can spread from the respiratory tract to the *** infection begins in the CNS cells,it can cause various CNS problems such as status epilepticus,encephalitis,and long-term neurological *** neuroinvasive properties of Co Vs may damage the CNS as a result of misdirected host immune response,which could be associated with autoimmunity in susceptible individuals(virus-induced neuro-immunopathology)or associated with viral replication directly causing damage to the CNS cells(virus-induced neuropathology).In December 2019,a new disease named COVID-19 emerged which is caused by Co *** significant clinical symptoms of COVID-19 are related to the respiratory system,but they can also affect the CNS,causing acute cerebrovascular and intracranial *** describe the possible invasion routes of coronavirus in this review article,and look for the most recent findings associated with the neurological complications in the recently published literature.

关键词： human coronavirus respiratory viral infection neuroinvasion CNS infection neurological diseases COVID-19

Deep-learning-assisted online surface roughness monitoring in ultraprecision fly cutting

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Science China(Technological Sciences) 2024年第5期67卷 1482-1497页

作者： SHEHZAD adeel RUI XiaoTing DING YuanYuan ZHANG JianShu CHANG Yu LU HanJing CHEN YiHeng Institute of Launch Dynamics Nanjing University of Science and TechnologyNanjing210094China National Key Laboratory of Complex Multibody System Dynamics Nanjing210094China Automotive Engineering Centre University of Engineering and TechnologyLahore54890Pakistan School of Science Nanjing University of Science and TechnologyNanjing210094China College of Engineering Peking UniversityBeijing100871China

Surface roughness is one of the most critical attributes of machined components,especially those used in high-performance *** surface roughness monitoring offers advancements comparable to post-process inspection methods,reducing inspection time and costs and concurrently reducing the likelihood of ***,online monitoring approaches for surface roughness are constrained by several limitations,including the reliance on handcrafted feature extraction,which necessitates the involvement of human experts and entails time-consuming ***,the prediction models trained under one set of cutting conditions exhibit poor performance when applied to different experimental *** address these challenges,this work presents a novel deep-learning-assisted online surface roughness monitoring method for ultraprecision fly cutting of copper workpieces under different cutting *** acceleration signals were acquired during each cutting experiment to develop two datasets,and no handcrafted features were *** deep learning models were developed and evaluated using standard performance metrics.A convolutional neural network stacked on a long short-term memory network outperformed all other network models,yielding exceptional results,including a mean absolute percentage error as low as 1.51%and an R2value of 96.6%.Furthermore,the robustness of the proposed model was assessed via a validation cohort analysis using experimental data obtained using cutting parameters different from those previously *** performance of the model remained consistent and commendable under varied conditions,asserting its applicability in real-world scenarios.

关键词： online surface roughness monitoring UPFC deep learning CNN-LSTM vibration signal