This study analyzes the sample influx (samples per case file) into forensic science laboratory (FSL) and the corresponding analysis costs and uses arbitrary re-sampling plans to establish the minimum cost function. Th...This study analyzes the sample influx (samples per case file) into forensic science laboratory (FSL) and the corresponding analysis costs and uses arbitrary re-sampling plans to establish the minimum cost function. The demand for forensic analysis increased for all disciplines, especially biology/DNA between 2014 and 2015. While the average distribution of case files was about 42.5%, 40.6% and 17% for the three disciplines, the distribution of samples was rather different being 12%, 82.5% and 5.5% for samples requiring forensic biology, chemistry and toxicology analysis, respectively. Results show that most of the analysis workload was on forensic chemistry analysis. The cost of analysis for case files and the corresponding sample influx varied in the ratio of 35:6:1 and 28:12:1 for forensic chemistry, biology/DNA and toxicology for year 2014 for 2015, respectively. In the two consecutive years, the cost for forensic chemistry analysis was comparatively very high, necessitating re-sampling. The time series of sample influx in all disciplines are strongly stochastic, with higher magnitude for chemistry, biology/DNA and toxicology, in this order. The PDFs of sample influx data are highly skewed to the right, especially forensic toxicology and biology/DNA with peaks at 1 and 3 samples per case file. The arbitrary re-sampling plans were best suited to forensic chemistry case files (where re-sampling conditions apply). The locus of arbitrary number of samples to take from the submitted forensic samples was used to establish the minimum and scientifically acceptable samples by applying minimization function developed in this paper. The cost minimization function was also developed based on the average cost per sample and choice of re-sampling plans depending on the range of sample influx, from which the savings were determined and maximized. Thus, the study gives a forensic scientist a business model and scientific decision making tool on minimum number of samples to analyze focusing on savings on analysis cost.展开更多
This paper analyzes the effect of subgroup size on the x-bar chart characteristics using sample influx (SIF) into forensic science laboratory (FSL). The characteristics studied include changes in out-or-control points...This paper analyzes the effect of subgroup size on the x-bar chart characteristics using sample influx (SIF) into forensic science laboratory (FSL). The characteristics studied include changes in out-or-control points (OCP), upper control limit UCLx, and zonal demarcations. Multi-rules were used to identify the number of out-of-control-points, Nocp as violations using five control chart rules applied separately. A sensitivity analysis on the Nocp was applied for subgroup size, k, and number of sigma above the mean value to determine the upper control limit, UCLx. A computer code was implemented using a FORTRAN code to create x-bar control-charts and capture OCP and other control-chart characteristics with increasing k from 2 to 25. For each value of k, a complete series of average values, Q(p), of specific length, Nsg, was created from which statistical analysis was conducted and compared to the original SIF data, S(t). The variation of number of out-of-control points or violations, Nocp, for different control-charts rules with increasing k was determined to follow a decaying exponential function, Nocp = Ae–α, for which, the goodness of fit was established, and the R2 value approached unity for Rule #4 and #5 only. The goodness of fit was established to be the new criteria for rational subgroup-size range, for Rules #5 and #4 only, which involve a count of 6 consecutive points decreasing and 8 consecutive points above the selected control limit (σ/3 above the grand mean), respectively. Using this criterion, the rational subgroup range was established to be 4 ≤ k ≤ 20 for the two x-bar control chart rules.展开更多
Objective:To investigate the effect of Rosa moschata(R.moschata)extract on haloperidol-induced Parkinson’s disease(PD)in rats.Methods:Haloperidol(1 mg/kg)was given to rats intraperitoneally for 3 weeks for induction ...Objective:To investigate the effect of Rosa moschata(R.moschata)extract on haloperidol-induced Parkinson’s disease(PD)in rats.Methods:Haloperidol(1 mg/kg)was given to rats intraperitoneally for 3 weeks for induction of PD.R.moschata extract(150,300 and 600 mg/kg)was administered orally for 21 days.The neuroprotective role of R.moschata leaf extract in PD was explored by performing neurobehavioral tests and RT-PCR analysis and measuring neurotransmitters and oxidative stress biomarkers.Results:An improvement in motor functions and muscle strength was observed in PD rats treated with R.moschata extract.The levels of dopamine,serotonin,noradrenaline,superoxide dismutase,catalase,glutathione,and superoxide dismutase were significantly increased(P<0.001),whereas acetylcholinesterase and malondialdehyde levels were markedly decreased by treatment with R.moschata extract(P<0.001).The extract also markedly downregulated the mRNA expressions of IL-1β,α-synuclein,IL-1α,and TNF-αin brain tissue.Moreover,histopathological analysis indicated that neurofibrillary tangles and plaques were noticeably decreased in a dose-dependent manner in PD rats treated with R.moschata extract.Conclusions:R.moschata extract alleviates haloperidol-induced PD in rats by reducing oxidative stress and neurodegeneration.It may be used for management and treatment of PD.However additional studies are required to confirm its efficacy and molecular mechanisms.展开更多
AIM: To demonstrate the potential of using 2-aminothiazoline-4-carboxylic acid(ATCA) as a novel biomarker/forensic biomarker for cyanide poisoning. METHODS: A sensitive method was developed and employed for the identi...AIM: To demonstrate the potential of using 2-aminothiazoline-4-carboxylic acid(ATCA) as a novel biomarker/forensic biomarker for cyanide poisoning. METHODS: A sensitive method was developed and employed for the identification and quantification of ATCA in biological samples, where the sample extraction and clean up were achieved by solid phase extraction(SPE). After optimization of SPE procedures, ATCA was analyzed by high performance liquid chromatographytandem mass spectrometry. ATCA levels following the administration of different doses of potassium cyanide(KCN) to mice were measured and compared to endogenous ATCA levels in order to study the significance of using ATCA as a biomarker for cyanide poisoning.RESULTS: A custom made analytical method was established for a new(mice) model when animals were exposed to increasing KCN doses. The application of this method provided important new information on ATCA as a potential cyanide biomarker. ATCA concentration in mice plasma samples were increased from 189 ± 28 ng/mL(n = 3) to 413 ± 66 ng/mL(n = 3) following a 10 mg/kg body weight dose of KCN introduced subcutaneously. The sensitivity of this analytical method proved to be a tool for measuring endogenous level of ATCA in mice organs as follows: 1.2 ± 0.1 μg/g for kidney samples, 1.6 ± 0.1 μg/g for brain samples, 1.8 ± 0.2 μg/g for lung samples, 2.9 ± 0.1 μg/g for heart samples, and 3.6 ± 0.9 μg/g for liver samples. CONCLUSION: This finding suggests that ATCA has the potential to serve as a plasma biomarker / forensic biomarker for cyanide poisoning.展开更多
Background:In recent years,there has been increased research interest in both smartphone addiction and social media addiction as well as the development of psychometric instruments to assess these constructs.However,t...Background:In recent years,there has been increased research interest in both smartphone addiction and social media addiction as well as the development of psychometric instruments to assess these constructs.However,there is a lack of psychometric evaluation for instruments assessing smartphone addiction and social media addiction in Thailand.The present study evaluated the psychometric properties and gender measurement invariance of the Thai version of the Smartphone Application-Based Addiction Scale(SABAS)and Bergen Social Media Addiction Scale(BSMAS).Method:A total of 801 Thai university students participated in an online survey from January 2022 to July 2022 which included demographic information,SABAS,BSMAS,and the Internet Gaming Disorder Scale-Short Form(IGDS9-SF).Results:Confirmatory Factor Analyses(CFAs)found that both the SABAS and BSMAS had a one-factor structure.Findings demonstrated adequate psychometric properties of both instruments and also supported measurement invariance across genders.Moreover,scores on the SABAS and BSMAS were correlated with scores on the IGDS9-SF.Conclusion:The results indicated that the SABAS and BSMAS are useful psychometric instruments for assessing the risk of smartphone addiction and social media addiction among Thai young adults.展开更多
Arrhythmogenic cardiomyopathy(ACM)is an inherited cardiomyopathy characterized pathologically by fibrofatty myocardial replacement,and clinically by prominent ventricular arrhythmias and impairment in ventricular syst...Arrhythmogenic cardiomyopathy(ACM)is an inherited cardiomyopathy characterized pathologically by fibrofatty myocardial replacement,and clinically by prominent ventricular arrhythmias and impairment in ventricular systolic function[1].The prevalence of ACM among people experiencing sudden cardiac death is quite high.In the Veneto region of Italy,an autopsy investigation of 60 young people with sudden death identified that 12%had ACM on autopsy[2,3].展开更多
Background:Sudden cardiac death(SCD),unexpected death based on sudden cardiac ejection cessation,accounts for 15–20%of unnatural deaths in developed countries.Primary electrical disorders(PEDs),a group of cardiac rhy...Background:Sudden cardiac death(SCD),unexpected death based on sudden cardiac ejection cessation,accounts for 15–20%of unnatural deaths in developed countries.Primary electrical disorders(PEDs),a group of cardiac rhythm abnormalities without detectable structural heart disease,are a major cause of SCD in people younger than 35 years of age.Cardiac muscle contraction and relaxation are triggered by the action potential(AP),which is generated by ionic changes across the cell membrane.Thus,PEDs are influenced by mutations in AP-associated genes,such as KCNE1 and RYR2.Methods:We recruited six patients with SCD and 42 patients with arrhythmia with onset under the age of 25,and used targeted sequencing to determine the genetic etiologies.Results:We identified five mutations(RYR2:c.12269C>T,p.P4090L;KCNE1:c.169T>C,p.F57L;KCNQ1:c.853A>C,p.K285Q;KCNH2:c.793T>C,p.C265R,and TRPM4:c.2985_3012del,p.E996Gfs*118)in five families with PED/SCD.Conclusions:We detected five mutations and expanded the mutation spectrum of PED-associated genes,thus con-tributing to the clinical diagnosis of PED.展开更多
Cholesterol is an important component of plasma membranes and participates in many basic life functions,such as the maintenance of cell membrane stability,the synthesis of steroid hormones,and myelination.Cholesterol ...Cholesterol is an important component of plasma membranes and participates in many basic life functions,such as the maintenance of cell membrane stability,the synthesis of steroid hormones,and myelination.Cholesterol plays a key role in the establishment and maintenance of the central nervous system.The brain contains 20%of the whole body’s cholesterol,80%of which is located within myelin.A huge number of processes(e.g.,the sterol regulatory element-binding protein pathway and liver X receptor pathway)participate in the regulation of cholesterol metabolism in the brain via mechanisms that include cholesterol biosynthesis,intracellular transport,and efflux.Certain brain injuries or diseases involving crosstalk among the processes above can affect normal cholesterol metabolism to induce detrimental consequences.Therefore,we hypothesized that cholesterol-related molecules and pathways can serve as therapeutic targets for central nervous system diseases.Intracerebral hemorrhage is the most severe hemorrhagic stroke subtype,with high mortality and morbidity.Historical cholesterol levels are associated with the risk of intracerebral hemorrhage.Moreover,secondary pathological changes after intracerebral hemorrhage are associated with cholesterol metabolism dysregulation,such as neuroinflammation,demyelination,and multiple types of programmed cell death.Intracellular cholesterol accumulation in the brain has been found after intracerebral hemorrhage.In this paper,we review normal cholesterol metabolism in the central nervous system,the mechanisms known to participate in the disturbance of cholesterol metabolism after intracerebral hemorrhage,and the links between cholesterol metabolism and cell death.We also review several possible and constructive therapeutic targets identified based on cholesterol metabolism to provide cholesterol-based perspectives and a reference for those interested in the treatment of intracerebral hemorrhage.展开更多
Background:Using a comprehensive approach that combines Thin Layer Chromatography(TLC),UV-visible spectroscopy,and Adobe Photoshop image manipulation,this study aims to authenticate and identify Gen gel pens.Aim and O...Background:Using a comprehensive approach that combines Thin Layer Chromatography(TLC),UV-visible spectroscopy,and Adobe Photoshop image manipulation,this study aims to authenticate and identify Gen gel pens.Aim and Objectives:The principal objective is to describe gel pen ink compositions and develop an authentication process for them.Thirty gel pen ink samples total-ten of each for the colors red,black,and blue-are the subject of the study.Goals include applying Adobe Photoshop for improved visual differentiation and using TLC and UV-visible spectroscopy for preliminary characterization.Materials and Methods:To characterize the compositions of thirty gel pen ink samples,Thin Layer Chromatography and UV-visible spectroscopy were applied.To improve the visuals,images were turned upside down and their brightness was changed using Adobe Photoshop.Gel pen ink matching was tested in a blind trial that combined analytical findings with Photoshop-enhanced visual differentiation.Results:76%of samples could be distinguished clearly,according to analytical data,and 40%of samples showed UV absorption at 237.5 nm regardless of the colour of the ink.Remarkably,on the UV Visible Spectrum,76.6%showed distinct peaks.A major factor in the ability to visually distinguish ink samples was Adobe Photoshop.Different ink samples could be identified using UV-visible spectroscopy peak variations;23.3%of the samples showed nonspecific peak patterns that could be seen in photos that had been Photoshopped.Conclusion:The combined findings provide insightful information about gel pen ink differentiation and suggest a possible approach for model identification and authentication.This method combines Adobe Photoshop image manipulation with analytical methods like TLC and UV-visible spectroscopy.展开更多
Background:The nature of voice as forensic evidence holds immense value.The voice examination is highly influenced by various factors such as recording devices,environmental factors,and individual health conditions be...Background:The nature of voice as forensic evidence holds immense value.The voice examination is highly influenced by various factors such as recording devices,environmental factors,and individual health conditions beyond the norm.The rapid advancement of technology has led to the evolution of numerous recording devices including tape-based recorders,reel-to-reel-based recorders,and analog tape recorders which have transitioned into digital recording media.The widespread accessibility of mobile phone devices,be it Android,iOS,or Feature phone,has significantly increased the prevalence of voice evidence in criminal cases.Aims and Objectives:This study aims to determine the optimal sampling rate of various recording devices in forensic voice analysis,conduct qualitative and statistical comparisons of voice acoustic parameters acrossAndroid,iOS,and feature mobile phones,and identify the most suitable mobile device for forensic voice analysis.Materials and Methods:Sixty voice samples from twenty individuals(10 males and 10 females)were recorded across three different recording devices and,then examined and analyzed using Goldwave and Praat software,and statistical analyses was conducted.Results:It was observed that only a few parameters jitter local,jitter ddp,harmonic mean autocorrelation,mean noise-to-harmonic ratio,mean harmonic-to-noise ratio,and intensity exhibited notable statistical differences among the voice samples recorded on different devices.Conclusion:It was concluded that while different devices displayed variations in numerical parameter values,the speaker’s individual characteristics in perceptual identification remained largely intact.Thus,recordings from these devices can be utilized for forensic voice comparison,analysis,and identification.展开更多
Atomically precise metal nanoclusters(NCs)have been deemed as a new generation of metal nanomaterials in the field of solar energy conversion due to their unique atomic stacking manner,quantum confinement effects,ligh...Atomically precise metal nanoclusters(NCs)have been deemed as a new generation of metal nanomaterials in the field of solar energy conversion due to their unique atomic stacking manner,quantum confinement effects,light-harvesting capability and multitude of active sites.Nonetheless,wide-spread application of monometallic NCs is blocked by the ultrashort carrier lifespan,uncontrollable charge transport pathway,and light-induced poor stability,impeding the construction of robust and stable metal NC-based photosystems.Herein,we report the fabrication of stable alloy(Au_(1-x)Pt_(x))NCs photosystem,for which tailor-made negatively charged l-glutathione(GSH)-capped Au_(1-x)Pt_(x)NCs as the building blocks are controllably deposited on the Bi VO_(4)(BVO)by a self-assembly approach for steering enhanced light absorption and interfacial charge transfer over alloy NCs-based photoanodes(Au_(1-x)Pt_(x)/BVO).The self-assembled Au_(1-x)Pt_(x)/BVO composite photoanode exhibits the significantly enhanced photoelectrochemical water oxidation performances compared with pristine BVO and Au_(x)/BVO photoanodes,which is caused by the Pt atom doping into the Au_(x)NCs for elevating photosensitivity and boosting the stability.The synergy of Au and Pt atoms in alloy NCs protects the gold core from rapid oxidation,improving the photostability and accelerating the surface charge transfer kinetics.Our work would significantly inspire ongoing interest in unlocking the charge transport characteristics of atomically precise alloy NCs for solar energy conversion.展开更多
We analyzed the two hypervariable segments HVS-I and HVS-II of 108 Chinese Tu ethnic minority group samples for forensic and population genetics purposes, Comparing with Anderson sequence, 79 polymorphic loci in HVS-I...We analyzed the two hypervariable segments HVS-I and HVS-II of 108 Chinese Tu ethnic minority group samples for forensic and population genetics purposes, Comparing with Anderson sequence, 79 polymorphic loci in HVS-I and 40 in HVS-II were found in Chinese Tu ethnic minority group mtDNA sequences, and 90 and 64 haplotypes were then defined. Haplotype diversity and the mean pairwise differences were 0.9903±0.0013 and 5.7785 in HVS-I, and 0.9777±0.0013 and 3.5819 in HVS-II, respectively. By analyzing the hypervariable domain from nucleotide 1,6180 to 1,6193 in HVS-I, we defined some new types of sequence variations. We also compared the relationship between Tu population and other populations using mtDNA HVS-I sequences. According to Rst genetic distances, the phylogenetic tree showed that the Tu population, the Xi＇an Han population, the Chinese Korean, and the Mongol ethnic group were in a clade. This indicated a close genetic relationship between them. There were far relations between the Tu population and other Chinese southern Han populations, Siberian, European, African, and other foreign populations. The results suggest that Tu population has a multi-origin and has also merged with other local populations.展开更多
The prediction of human diseases,particularly COVID-19,is an extremely challenging task not only for medical experts but also for the technologists supporting them in diagnosis and treatment.To deal with the predictio...The prediction of human diseases,particularly COVID-19,is an extremely challenging task not only for medical experts but also for the technologists supporting them in diagnosis and treatment.To deal with the prediction and diagnosis of COVID-19,we propose an Internet of Medical Things-based Smart Monitoring Hierarchical Mamdani Fuzzy Inference System(IoMTSM-HMFIS).The proposed system determines the various factors like fever,cough,complete blood count,respiratory rate,Ct-chest,Erythrocyte sedimentation rate and C-reactive protein,family history,and antibody detection(lgG)that are directly involved in COVID-19.The expert system has two input variables in layer 1,and seven input variables in layer 2.In layer 1,the initial identification for COVID-19 is considered,whereas in layer 2,the different factors involved are studied.Finally,advanced lab tests are conducted to identify the actual current status of the disease.The major focus of this study is to build an IoMT-based smart monitoring system that can be used by anyone exposed to COVID-19;the system would evaluate the user’s health condition and inform them if they need consultation with a specialist for quarantining.MATLAB-2019a tool is used to conduct the simulation.The COVID-19 IoMTSM-HMFIS system has an overall accuracy of approximately 83%.Finally,to achieve improved performance,the analysis results of the system were shared with experts of the Lahore General Hospital,Lahore,Pakistan.展开更多
A quantitative structure-retention relationship（QSRR） study has been carried out on the gas chromatograph-mass spectrometry（GC-MS） system retention time（RT） of two sets of illicit drugs by using molecular struct...A quantitative structure-retention relationship（QSRR） study has been carried out on the gas chromatograph-mass spectrometry（GC-MS） system retention time（RT） of two sets of illicit drugs by using molecular structural descriptors.Heuristic method（HM） was utilized to construct the linear models.Appropriate models with low standard errors and high correlation coefficients were obtained（R2=0.9873,F=390.18 for data set 1 and R2=0.9881,F=749.13 for data set 2）.The results of leave-one-out cross validation showed good predictive ability of these proposed models（R c2v= 0.9812 and R c2v= 0.9824,respectively）.Each molecular descriptor in the two models was disputed to unfold the relationship between the molecular structures and RT.展开更多
Novel Coronavirus-19(COVID-19)is a newer type of coronavirus that has not been formally detected in humans.It is established that this disease often affects people of different age groups,particularly those with body ...Novel Coronavirus-19(COVID-19)is a newer type of coronavirus that has not been formally detected in humans.It is established that this disease often affects people of different age groups,particularly those with body disorders,blood pressure,diabetes,heart problems,or weakened immune systems.The epidemic of this infection has recently had a huge impact on people around the globe with rising mortality rates.Rising levels of mortality are attributed to their transmitting behavior through physical contact between humans.It is extremely necessary to monitor the transmission of the infection and also to anticipate the early stages of the disease in such a way that the appropriate timing of effective precautionary measures can be taken.The latest global coronavirus epidemic(COVID-19)has brought new challenges to the scientific community.Artificial Intelligence(AI)-motivated methodologies may be useful in predicting the conditions,consequences,and implications of such an outbreak.These forecasts may help to monitor and prevent the spread of these outbreaks.This article proposes a predictive framework incorporating Support Vector Machines(SVM)in the forecasting of a potential outbreak of COVID-19.The findings indicate that the suggested system outperforms cutting-edge approaches.The method could be used to predict the long-term spread of such an outbreak so that we can implement proactive measures in advance.The findings of the analyses indicate that the SVM forecasting framework outperformed the Neural Network methods in terms of accuracy and computational complexity.The proposed SVM system model exhibits 98.88%and 96.79%result in terms of accuracy during training and validation respectively.展开更多
The Ni（Ⅱ） complex with ligand 2-N-（2-hydroxy-benzylidene） furanmethanoamine has been synthesized and characterized by elemental analysis, IR and single-crystal X-ray diffraction. It crystallizes in the monoclinic...The Ni（Ⅱ） complex with ligand 2-N-（2-hydroxy-benzylidene） furanmethanoamine has been synthesized and characterized by elemental analysis, IR and single-crystal X-ray diffraction. It crystallizes in the monoclinic system, space group C2/c with a = 2.0280（4）, b =0.57700（12）, c = 1.7340（4） nm, β = 94.74（3）°, Z = 4, Dc = 1.508 g/cm^3, the final R = 0.0434 and wR = 0.1112 for 1843 observed reflections with 1 〉 2σ（I）. X-ray analysis revealed that the Ni（Ⅱ） ion is coordinated by two nitrogen atoms of Schiff base and two oxygen atoms of salicylaldehyde in the equatorial plane, and the coordination geometry can be described as a square.展开更多
Objective To study the genetic relationship between Kirgiz individuals living in Sinkiang China and analyze the difference among Kirgiz and the other population with STR polymorphisms.Methods PCR amplification was per...Objective To study the genetic relationship between Kirgiz individuals living in Sinkiang China and analyze the difference among Kirgiz and the other population with STR polymorphisms.Methods PCR amplification was performed using PE9700,the PCR products were typed by automated sequencer and genescan.Results A database of nine STR loci of Kirgiz was established.It shows there are at least 73 STR alleles and 191 genotypes in Kirgiz.Genotype frequencies distribution showed no deviation from Hardy-Weinberg equilibrium by χ2-test.Kirgiz was compared with the other Chinese ethnic groups,then the American Black and the White.Conclusion These results suggested that the nine STR loci and Amelogenin locus were very useful in human identification,biological archaeology and gene resource studies.展开更多
A photoinduced reaction of potassium alkyltrifluoroborates,sulfur dioxide,and para-quinone methides under visible light irradiation at room temperature is developed,giving rise to diarylmethyl alkylsulfones in moderat...A photoinduced reaction of potassium alkyltrifluoroborates,sulfur dioxide,and para-quinone methides under visible light irradiation at room temperature is developed,giving rise to diarylmethyl alkylsulfones in moderate to good yields.This reaction works well under photocatalysis with a broad substrate scope by using DABCO·(SO_(2))_(2)as the source of sulfur dioxide.Mechanistic study shows that this transformation is initiated by alkyl radicals generated in situ from potassium alkyltrifluoroborates in the presence of photocatalyst.The subsequent insertion of sulfur dioxide and radical 1,6-addition of para-quinone methides with alkylsulfonyl radical intermediates afford the corresponding diarylmethyl alkylsulfones.展开更多
Aim： To investigate the frequency of atypical adenomatous hyperplasia （AAH） and its associations with benign prostate hypertrophy （BPH） and latent histological carcinoma of the prostate （LPC） in autopsy materia...Aim： To investigate the frequency of atypical adenomatous hyperplasia （AAH） and its associations with benign prostate hypertrophy （BPH） and latent histological carcinoma of the prostate （LPC） in autopsy material. Methods： Two hundred and twelve prostate specimens obtained from autopsy material were subjected to whole mount analysis in an attempt to investigate the associations among BPH, AAH and LPC. Results： Most histological carcinomas and AAH lesions were found in enlarged prostates with intense hypertrophy. No statistically significant relation was found between BPH and the main characteristics of LPC, such as tumor volume, histological differentiation and biological behavior. Our data regarding multi-focal tumors showed a tendency for multi-focal carcinomas to develop in larger prostates, and a tendency of AAH lesions to develop in larger prostates. No statistically significant relation was found between AAH and LPC. Conclusion： There seems not any causative aetiopathogenetical or topographical relation between AAH lesions and prostate adenocarcinoma. AAH lesion seems to be a well-defined mimicker of prostatic adenocarcinoma, and the reported association of AAH with prostatic carcinoma could probably be an epiphenomenon.展开更多
文摘This study analyzes the sample influx (samples per case file) into forensic science laboratory (FSL) and the corresponding analysis costs and uses arbitrary re-sampling plans to establish the minimum cost function. The demand for forensic analysis increased for all disciplines, especially biology/DNA between 2014 and 2015. While the average distribution of case files was about 42.5%, 40.6% and 17% for the three disciplines, the distribution of samples was rather different being 12%, 82.5% and 5.5% for samples requiring forensic biology, chemistry and toxicology analysis, respectively. Results show that most of the analysis workload was on forensic chemistry analysis. The cost of analysis for case files and the corresponding sample influx varied in the ratio of 35:6:1 and 28:12:1 for forensic chemistry, biology/DNA and toxicology for year 2014 for 2015, respectively. In the two consecutive years, the cost for forensic chemistry analysis was comparatively very high, necessitating re-sampling. The time series of sample influx in all disciplines are strongly stochastic, with higher magnitude for chemistry, biology/DNA and toxicology, in this order. The PDFs of sample influx data are highly skewed to the right, especially forensic toxicology and biology/DNA with peaks at 1 and 3 samples per case file. The arbitrary re-sampling plans were best suited to forensic chemistry case files (where re-sampling conditions apply). The locus of arbitrary number of samples to take from the submitted forensic samples was used to establish the minimum and scientifically acceptable samples by applying minimization function developed in this paper. The cost minimization function was also developed based on the average cost per sample and choice of re-sampling plans depending on the range of sample influx, from which the savings were determined and maximized. Thus, the study gives a forensic scientist a business model and scientific decision making tool on minimum number of samples to analyze focusing on savings on analysis cost.
文摘This paper analyzes the effect of subgroup size on the x-bar chart characteristics using sample influx (SIF) into forensic science laboratory (FSL). The characteristics studied include changes in out-or-control points (OCP), upper control limit UCLx, and zonal demarcations. Multi-rules were used to identify the number of out-of-control-points, Nocp as violations using five control chart rules applied separately. A sensitivity analysis on the Nocp was applied for subgroup size, k, and number of sigma above the mean value to determine the upper control limit, UCLx. A computer code was implemented using a FORTRAN code to create x-bar control-charts and capture OCP and other control-chart characteristics with increasing k from 2 to 25. For each value of k, a complete series of average values, Q(p), of specific length, Nsg, was created from which statistical analysis was conducted and compared to the original SIF data, S(t). The variation of number of out-of-control points or violations, Nocp, for different control-charts rules with increasing k was determined to follow a decaying exponential function, Nocp = Ae–α, for which, the goodness of fit was established, and the R2 value approached unity for Rule #4 and #5 only. The goodness of fit was established to be the new criteria for rational subgroup-size range, for Rules #5 and #4 only, which involve a count of 6 consecutive points decreasing and 8 consecutive points above the selected control limit (σ/3 above the grand mean), respectively. Using this criterion, the rational subgroup range was established to be 4 ≤ k ≤ 20 for the two x-bar control chart rules.
基金This work was supported by the Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2025R73)Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia,and researchers supporting project number(RSPD2025R885)at King Saud University Riyadh Saudi Arabia。
文摘Objective:To investigate the effect of Rosa moschata(R.moschata)extract on haloperidol-induced Parkinson’s disease(PD)in rats.Methods:Haloperidol(1 mg/kg)was given to rats intraperitoneally for 3 weeks for induction of PD.R.moschata extract(150,300 and 600 mg/kg)was administered orally for 21 days.The neuroprotective role of R.moschata leaf extract in PD was explored by performing neurobehavioral tests and RT-PCR analysis and measuring neurotransmitters and oxidative stress biomarkers.Results:An improvement in motor functions and muscle strength was observed in PD rats treated with R.moschata extract.The levels of dopamine,serotonin,noradrenaline,superoxide dismutase,catalase,glutathione,and superoxide dismutase were significantly increased(P<0.001),whereas acetylcholinesterase and malondialdehyde levels were markedly decreased by treatment with R.moschata extract(P<0.001).The extract also markedly downregulated the mRNA expressions of IL-1β,α-synuclein,IL-1α,and TNF-αin brain tissue.Moreover,histopathological analysis indicated that neurofibrillary tangles and plaques were noticeably decreased in a dose-dependent manner in PD rats treated with R.moschata extract.Conclusions:R.moschata extract alleviates haloperidol-induced PD in rats by reducing oxidative stress and neurodegeneration.It may be used for management and treatment of PD.However additional studies are required to confirm its efficacy and molecular mechanisms.
基金Supported by NIH:NIAID/USAMRICD Interagency Agreements(W911NF-07-D-0001)the USAMRICD under the auspices of the US Army Research Office Scientific Services Program administered by Battelle(Delivery order 0557,Contract No TCN 08284)the Robert A.Welch Foundation at Sam Houston State University,Huntsville,TX,United States
文摘AIM: To demonstrate the potential of using 2-aminothiazoline-4-carboxylic acid(ATCA) as a novel biomarker/forensic biomarker for cyanide poisoning. METHODS: A sensitive method was developed and employed for the identification and quantification of ATCA in biological samples, where the sample extraction and clean up were achieved by solid phase extraction(SPE). After optimization of SPE procedures, ATCA was analyzed by high performance liquid chromatographytandem mass spectrometry. ATCA levels following the administration of different doses of potassium cyanide(KCN) to mice were measured and compared to endogenous ATCA levels in order to study the significance of using ATCA as a biomarker for cyanide poisoning.RESULTS: A custom made analytical method was established for a new(mice) model when animals were exposed to increasing KCN doses. The application of this method provided important new information on ATCA as a potential cyanide biomarker. ATCA concentration in mice plasma samples were increased from 189 ± 28 ng/mL(n = 3) to 413 ± 66 ng/mL(n = 3) following a 10 mg/kg body weight dose of KCN introduced subcutaneously. The sensitivity of this analytical method proved to be a tool for measuring endogenous level of ATCA in mice organs as follows: 1.2 ± 0.1 μg/g for kidney samples, 1.6 ± 0.1 μg/g for brain samples, 1.8 ± 0.2 μg/g for lung samples, 2.9 ± 0.1 μg/g for heart samples, and 3.6 ± 0.9 μg/g for liver samples. CONCLUSION: This finding suggests that ATCA has the potential to serve as a plasma biomarker / forensic biomarker for cyanide poisoning.
基金This research was funded by the Ministry of Science and Technology,Taiwan(MOST 110-2410-H-006-115)the Higher Education Sprout Project,Ministry of Education to the Headquarters of University Advancement at National Cheng Kung University(NCKU)the 2021 Southeast and South Asia and Taiwan Universities Joint Research Scheme(NCKU 31),and the E-Da Hospital(EDAHC111004).
文摘Background:In recent years,there has been increased research interest in both smartphone addiction and social media addiction as well as the development of psychometric instruments to assess these constructs.However,there is a lack of psychometric evaluation for instruments assessing smartphone addiction and social media addiction in Thailand.The present study evaluated the psychometric properties and gender measurement invariance of the Thai version of the Smartphone Application-Based Addiction Scale(SABAS)and Bergen Social Media Addiction Scale(BSMAS).Method:A total of 801 Thai university students participated in an online survey from January 2022 to July 2022 which included demographic information,SABAS,BSMAS,and the Internet Gaming Disorder Scale-Short Form(IGDS9-SF).Results:Confirmatory Factor Analyses(CFAs)found that both the SABAS and BSMAS had a one-factor structure.Findings demonstrated adequate psychometric properties of both instruments and also supported measurement invariance across genders.Moreover,scores on the SABAS and BSMAS were correlated with scores on the IGDS9-SF.Conclusion:The results indicated that the SABAS and BSMAS are useful psychometric instruments for assessing the risk of smartphone addiction and social media addiction among Thai young adults.
基金supported by the Key Research and Development Program of Hunan Province(2022sk2034)Natural Science Foundation of Hunan Province(2022JJ30058)+1 种基金Natural Science Foundation of Hunan Province(2023JJ20078)Inner Mongolia Science and Technology Innovation Guidance Project(NM-KJCXYD-018).
文摘Arrhythmogenic cardiomyopathy(ACM)is an inherited cardiomyopathy characterized pathologically by fibrofatty myocardial replacement,and clinically by prominent ventricular arrhythmias and impairment in ventricular systolic function[1].The prevalence of ACM among people experiencing sudden cardiac death is quite high.In the Veneto region of Italy,an autopsy investigation of 60 young people with sudden death identified that 12%had ACM on autopsy[2,3].
基金supported by the National Natural Science Foundation of China(82170598,81970403,82000427,and 82072114)Key Research and Development Program of Hunan Province(2022sk2034)+4 种基金Natural Science Foundation of Hunan Province(2022JJ30058)Research Project of the Hunan Provincial Health Commission(202103012102)China Postdoctoral Science Foundation(2023M743949)Postdoctoral Fellowship Program of CPSF(GZC20233175)Natural Science Project of Changsha City(kq2202117).
文摘Background:Sudden cardiac death(SCD),unexpected death based on sudden cardiac ejection cessation,accounts for 15–20%of unnatural deaths in developed countries.Primary electrical disorders(PEDs),a group of cardiac rhythm abnormalities without detectable structural heart disease,are a major cause of SCD in people younger than 35 years of age.Cardiac muscle contraction and relaxation are triggered by the action potential(AP),which is generated by ionic changes across the cell membrane.Thus,PEDs are influenced by mutations in AP-associated genes,such as KCNE1 and RYR2.Methods:We recruited six patients with SCD and 42 patients with arrhythmia with onset under the age of 25,and used targeted sequencing to determine the genetic etiologies.Results:We identified five mutations(RYR2:c.12269C>T,p.P4090L;KCNE1:c.169T>C,p.F57L;KCNQ1:c.853A>C,p.K285Q;KCNH2:c.793T>C,p.C265R,and TRPM4:c.2985_3012del,p.E996Gfs*118)in five families with PED/SCD.Conclusions:We detected five mutations and expanded the mutation spectrum of PED-associated genes,thus con-tributing to the clinical diagnosis of PED.
基金supported by the National Natural Science Foundation of China,No.82072110Suzhou Municipal Science and Technology Bureau,No.SKJY2021046+1 种基金Shanghai Key Lab of Forensic Medicine&Key Lab of Forensic Science,Ministry of Justice,China(Academy of Forensic Science),No.KF202201a Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)(all to TW).
文摘Cholesterol is an important component of plasma membranes and participates in many basic life functions,such as the maintenance of cell membrane stability,the synthesis of steroid hormones,and myelination.Cholesterol plays a key role in the establishment and maintenance of the central nervous system.The brain contains 20%of the whole body’s cholesterol,80%of which is located within myelin.A huge number of processes(e.g.,the sterol regulatory element-binding protein pathway and liver X receptor pathway)participate in the regulation of cholesterol metabolism in the brain via mechanisms that include cholesterol biosynthesis,intracellular transport,and efflux.Certain brain injuries or diseases involving crosstalk among the processes above can affect normal cholesterol metabolism to induce detrimental consequences.Therefore,we hypothesized that cholesterol-related molecules and pathways can serve as therapeutic targets for central nervous system diseases.Intracerebral hemorrhage is the most severe hemorrhagic stroke subtype,with high mortality and morbidity.Historical cholesterol levels are associated with the risk of intracerebral hemorrhage.Moreover,secondary pathological changes after intracerebral hemorrhage are associated with cholesterol metabolism dysregulation,such as neuroinflammation,demyelination,and multiple types of programmed cell death.Intracellular cholesterol accumulation in the brain has been found after intracerebral hemorrhage.In this paper,we review normal cholesterol metabolism in the central nervous system,the mechanisms known to participate in the disturbance of cholesterol metabolism after intracerebral hemorrhage,and the links between cholesterol metabolism and cell death.We also review several possible and constructive therapeutic targets identified based on cholesterol metabolism to provide cholesterol-based perspectives and a reference for those interested in the treatment of intracerebral hemorrhage.
文摘Background:Using a comprehensive approach that combines Thin Layer Chromatography(TLC),UV-visible spectroscopy,and Adobe Photoshop image manipulation,this study aims to authenticate and identify Gen gel pens.Aim and Objectives:The principal objective is to describe gel pen ink compositions and develop an authentication process for them.Thirty gel pen ink samples total-ten of each for the colors red,black,and blue-are the subject of the study.Goals include applying Adobe Photoshop for improved visual differentiation and using TLC and UV-visible spectroscopy for preliminary characterization.Materials and Methods:To characterize the compositions of thirty gel pen ink samples,Thin Layer Chromatography and UV-visible spectroscopy were applied.To improve the visuals,images were turned upside down and their brightness was changed using Adobe Photoshop.Gel pen ink matching was tested in a blind trial that combined analytical findings with Photoshop-enhanced visual differentiation.Results:76%of samples could be distinguished clearly,according to analytical data,and 40%of samples showed UV absorption at 237.5 nm regardless of the colour of the ink.Remarkably,on the UV Visible Spectrum,76.6%showed distinct peaks.A major factor in the ability to visually distinguish ink samples was Adobe Photoshop.Different ink samples could be identified using UV-visible spectroscopy peak variations;23.3%of the samples showed nonspecific peak patterns that could be seen in photos that had been Photoshopped.Conclusion:The combined findings provide insightful information about gel pen ink differentiation and suggest a possible approach for model identification and authentication.This method combines Adobe Photoshop image manipulation with analytical methods like TLC and UV-visible spectroscopy.
文摘Background:The nature of voice as forensic evidence holds immense value.The voice examination is highly influenced by various factors such as recording devices,environmental factors,and individual health conditions beyond the norm.The rapid advancement of technology has led to the evolution of numerous recording devices including tape-based recorders,reel-to-reel-based recorders,and analog tape recorders which have transitioned into digital recording media.The widespread accessibility of mobile phone devices,be it Android,iOS,or Feature phone,has significantly increased the prevalence of voice evidence in criminal cases.Aims and Objectives:This study aims to determine the optimal sampling rate of various recording devices in forensic voice analysis,conduct qualitative and statistical comparisons of voice acoustic parameters acrossAndroid,iOS,and feature mobile phones,and identify the most suitable mobile device for forensic voice analysis.Materials and Methods:Sixty voice samples from twenty individuals(10 males and 10 females)were recorded across three different recording devices and,then examined and analyzed using Goldwave and Praat software,and statistical analyses was conducted.Results:It was observed that only a few parameters jitter local,jitter ddp,harmonic mean autocorrelation,mean noise-to-harmonic ratio,mean harmonic-to-noise ratio,and intensity exhibited notable statistical differences among the voice samples recorded on different devices.Conclusion:It was concluded that while different devices displayed variations in numerical parameter values,the speaker’s individual characteristics in perceptual identification remained largely intact.Thus,recordings from these devices can be utilized for forensic voice comparison,analysis,and identification.
基金The support by the award Program for Minjiang scholar professorship is greatly acknowledgedfinancially supported by the National Natural Science Foundation of China(Nos.21703038,22072025)The financial support from State Key Laboratory of Structural Chemistry,Fujian Institute of Research on the Structure of Matter,Chinese Academy of Science is acknowledged(No.20240018)。
文摘Atomically precise metal nanoclusters(NCs)have been deemed as a new generation of metal nanomaterials in the field of solar energy conversion due to their unique atomic stacking manner,quantum confinement effects,light-harvesting capability and multitude of active sites.Nonetheless,wide-spread application of monometallic NCs is blocked by the ultrashort carrier lifespan,uncontrollable charge transport pathway,and light-induced poor stability,impeding the construction of robust and stable metal NC-based photosystems.Herein,we report the fabrication of stable alloy(Au_(1-x)Pt_(x))NCs photosystem,for which tailor-made negatively charged l-glutathione(GSH)-capped Au_(1-x)Pt_(x)NCs as the building blocks are controllably deposited on the Bi VO_(4)(BVO)by a self-assembly approach for steering enhanced light absorption and interfacial charge transfer over alloy NCs-based photoanodes(Au_(1-x)Pt_(x)/BVO).The self-assembled Au_(1-x)Pt_(x)/BVO composite photoanode exhibits the significantly enhanced photoelectrochemical water oxidation performances compared with pristine BVO and Au_(x)/BVO photoanodes,which is caused by the Pt atom doping into the Au_(x)NCs for elevating photosensitivity and boosting the stability.The synergy of Au and Pt atoms in alloy NCs protects the gold core from rapid oxidation,improving the photostability and accelerating the surface charge transfer kinetics.Our work would significantly inspire ongoing interest in unlocking the charge transport characteristics of atomically precise alloy NCs for solar energy conversion.
文摘We analyzed the two hypervariable segments HVS-I and HVS-II of 108 Chinese Tu ethnic minority group samples for forensic and population genetics purposes, Comparing with Anderson sequence, 79 polymorphic loci in HVS-I and 40 in HVS-II were found in Chinese Tu ethnic minority group mtDNA sequences, and 90 and 64 haplotypes were then defined. Haplotype diversity and the mean pairwise differences were 0.9903±0.0013 and 5.7785 in HVS-I, and 0.9777±0.0013 and 3.5819 in HVS-II, respectively. By analyzing the hypervariable domain from nucleotide 1,6180 to 1,6193 in HVS-I, we defined some new types of sequence variations. We also compared the relationship between Tu population and other populations using mtDNA HVS-I sequences. According to Rst genetic distances, the phylogenetic tree showed that the Tu population, the Xi＇an Han population, the Chinese Korean, and the Mongol ethnic group were in a clade. This indicated a close genetic relationship between them. There were far relations between the Tu population and other Chinese southern Han populations, Siberian, European, African, and other foreign populations. The results suggest that Tu population has a multi-origin and has also merged with other local populations.
文摘The prediction of human diseases,particularly COVID-19,is an extremely challenging task not only for medical experts but also for the technologists supporting them in diagnosis and treatment.To deal with the prediction and diagnosis of COVID-19,we propose an Internet of Medical Things-based Smart Monitoring Hierarchical Mamdani Fuzzy Inference System(IoMTSM-HMFIS).The proposed system determines the various factors like fever,cough,complete blood count,respiratory rate,Ct-chest,Erythrocyte sedimentation rate and C-reactive protein,family history,and antibody detection(lgG)that are directly involved in COVID-19.The expert system has two input variables in layer 1,and seven input variables in layer 2.In layer 1,the initial identification for COVID-19 is considered,whereas in layer 2,the different factors involved are studied.Finally,advanced lab tests are conducted to identify the actual current status of the disease.The major focus of this study is to build an IoMT-based smart monitoring system that can be used by anyone exposed to COVID-19;the system would evaluate the user’s health condition and inform them if they need consultation with a specialist for quarantining.MATLAB-2019a tool is used to conduct the simulation.The COVID-19 IoMTSM-HMFIS system has an overall accuracy of approximately 83%.Finally,to achieve improved performance,the analysis results of the system were shared with experts of the Lahore General Hospital,Lahore,Pakistan.
基金supported by the key program of National Natural Science Foundation of China (No. 90612016)
文摘A quantitative structure-retention relationship（QSRR） study has been carried out on the gas chromatograph-mass spectrometry（GC-MS） system retention time（RT） of two sets of illicit drugs by using molecular structural descriptors.Heuristic method（HM） was utilized to construct the linear models.Appropriate models with low standard errors and high correlation coefficients were obtained（R2=0.9873,F=390.18 for data set 1 and R2=0.9881,F=749.13 for data set 2）.The results of leave-one-out cross validation showed good predictive ability of these proposed models（R c2v= 0.9812 and R c2v= 0.9824,respectively）.Each molecular descriptor in the two models was disputed to unfold the relationship between the molecular structures and RT.
文摘Novel Coronavirus-19(COVID-19)is a newer type of coronavirus that has not been formally detected in humans.It is established that this disease often affects people of different age groups,particularly those with body disorders,blood pressure,diabetes,heart problems,or weakened immune systems.The epidemic of this infection has recently had a huge impact on people around the globe with rising mortality rates.Rising levels of mortality are attributed to their transmitting behavior through physical contact between humans.It is extremely necessary to monitor the transmission of the infection and also to anticipate the early stages of the disease in such a way that the appropriate timing of effective precautionary measures can be taken.The latest global coronavirus epidemic(COVID-19)has brought new challenges to the scientific community.Artificial Intelligence(AI)-motivated methodologies may be useful in predicting the conditions,consequences,and implications of such an outbreak.These forecasts may help to monitor and prevent the spread of these outbreaks.This article proposes a predictive framework incorporating Support Vector Machines(SVM)in the forecasting of a potential outbreak of COVID-19.The findings indicate that the suggested system outperforms cutting-edge approaches.The method could be used to predict the long-term spread of such an outbreak so that we can implement proactive measures in advance.The findings of the analyses indicate that the SVM forecasting framework outperformed the Neural Network methods in terms of accuracy and computational complexity.The proposed SVM system model exhibits 98.88%and 96.79%result in terms of accuracy during training and validation respectively.
文摘The Ni（Ⅱ） complex with ligand 2-N-（2-hydroxy-benzylidene） furanmethanoamine has been synthesized and characterized by elemental analysis, IR and single-crystal X-ray diffraction. It crystallizes in the monoclinic system, space group C2/c with a = 2.0280（4）, b =0.57700（12）, c = 1.7340（4） nm, β = 94.74（3）°, Z = 4, Dc = 1.508 g/cm^3, the final R = 0.0434 and wR = 0.1112 for 1843 observed reflections with 1 〉 2σ（I）. X-ray analysis revealed that the Ni（Ⅱ） ion is coordinated by two nitrogen atoms of Schiff base and two oxygen atoms of salicylaldehyde in the equatorial plane, and the coordination geometry can be described as a square.
基金This work was supported by the National Natural Science Foundation of China(No.39940401).
文摘Objective To study the genetic relationship between Kirgiz individuals living in Sinkiang China and analyze the difference among Kirgiz and the other population with STR polymorphisms.Methods PCR amplification was performed using PE9700,the PCR products were typed by automated sequencer and genescan.Results A database of nine STR loci of Kirgiz was established.It shows there are at least 73 STR alleles and 191 genotypes in Kirgiz.Genotype frequencies distribution showed no deviation from Hardy-Weinberg equilibrium by χ2-test.Kirgiz was compared with the other Chinese ethnic groups,then the American Black and the White.Conclusion These results suggested that the nine STR loci and Amelogenin locus were very useful in human identification,biological archaeology and gene resource studies.
基金Financial support from the National Natural Science Foundation of China(Nos.22007017 and 21871053)the Talents'Startup Fund of Gannan Medical University(No.QD201831)+3 种基金the Education Bureau of Jiangxi Province(No.GJJ190799)the Research Fund of Gannan Medical University(No.ZD201905)the Leading Innovative and Entrepreneur Team Introduction Program of Zhejiang(No.2019R01005)the Open Research Fund of School of Chemistry and Chemical Engineering,Henan Normal University(No.2020ZD04)。
文摘A photoinduced reaction of potassium alkyltrifluoroborates,sulfur dioxide,and para-quinone methides under visible light irradiation at room temperature is developed,giving rise to diarylmethyl alkylsulfones in moderate to good yields.This reaction works well under photocatalysis with a broad substrate scope by using DABCO·(SO_(2))_(2)as the source of sulfur dioxide.Mechanistic study shows that this transformation is initiated by alkyl radicals generated in situ from potassium alkyltrifluoroborates in the presence of photocatalyst.The subsequent insertion of sulfur dioxide and radical 1,6-addition of para-quinone methides with alkylsulfonyl radical intermediates afford the corresponding diarylmethyl alkylsulfones.
文摘Aim： To investigate the frequency of atypical adenomatous hyperplasia （AAH） and its associations with benign prostate hypertrophy （BPH） and latent histological carcinoma of the prostate （LPC） in autopsy material. Methods： Two hundred and twelve prostate specimens obtained from autopsy material were subjected to whole mount analysis in an attempt to investigate the associations among BPH, AAH and LPC. Results： Most histological carcinomas and AAH lesions were found in enlarged prostates with intense hypertrophy. No statistically significant relation was found between BPH and the main characteristics of LPC, such as tumor volume, histological differentiation and biological behavior. Our data regarding multi-focal tumors showed a tendency for multi-focal carcinomas to develop in larger prostates, and a tendency of AAH lesions to develop in larger prostates. No statistically significant relation was found between AAH and LPC. Conclusion： There seems not any causative aetiopathogenetical or topographical relation between AAH lesions and prostate adenocarcinoma. AAH lesion seems to be a well-defined mimicker of prostatic adenocarcinoma, and the reported association of AAH with prostatic carcinoma could probably be an epiphenomenon.
