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单模电注入面发射激光器研究进展

激光与光电子学进展 2024年第17期 1-14页

作者：艾星辰田思聪 mansoor ahamed 孙家辉王宇昊潘绍驰佟存柱王立军 Bimberg Dieter 中国科学院长春光学精密机械与物理研究所Bimberg中德绿色光子学研究中心中国科学院大学中国科学院长春光学精密机械与物理研究所发光学及应用国家重点实验室柏林工业大学固体物理研究所纳米光学中心

互联网、超算中心、数据中心光互连等高速光通信领域，以及激光雷达、显示等应用，均对半导体激光器提出单模、单偏振态、高速、高功率等更高性能要求。本文梳理了以垂直腔面发射激光器（VCSEL）、光子晶体面发射激光器等为主的电注入... 详细信息

互联网、超算中心、数据中心光互连等高速光通信领域，以及激光雷达、显示等应用，均对半导体激光器提出单模、单偏振态、高速、高功率等更高性能要求。本文梳理了以垂直腔面发射激光器（VCSEL）、光子晶体面发射激光器等为主的电注入表面发射型半导体激光器的研究进展，包括：为了同时实现单模和单偏振性，设计表面光栅、浮雕和高折射率对比度光栅VCSEL；为了实现单模高速特性，引入锌扩散区、建立横向耦合腔、构建多孔结构氧化限制VCSEL；为了实现单模、高功率性，采用构建慢光表面光栅负载VCSEL、引入锌扩散区、设计多结或多氧化孔径VCSEL等方式；为了实现突破性的单模、高功率、极小发散角等性能，采用光子晶体面发射激光器。最后对面发射激光器发展趋势做出展望。

关键词：垂直腔面发射激光器单模光高速传输高功率激光光子晶体面发射激光器

Understanding neuroendocrine regulatory pathways of sexual behavior in teleosts

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Aquaculture and Fisheries 2024年第3期9卷 447-454页

作者： Saokat ahamed Toshinobu Tokumoto Department of Bioscience Graduate School of Science and TechnologyShizuoka UniversityOhya 836Suruga-kuShizuoka422-8529Japan

The main neuroendocrine pathways of induction of reproductive behavior in fish are elucidated.17α,20β-dihydroxy-4-pregnen-3-one (17,20β-DHP),an oocyte maturation-inducing hormone,was found to act as a pheromone to induce male reproductive behavior.17α,20β-DHP-sulfate (17,20β-DHP-S),a derivative of 17,20β-DHP,was also identified as a later-acting *** addition,prostaglandin F2 alpha (PGF2α),which is synthesized during female ovulation,has been shown to also act as a pheromone,inducing the final oviposition-inducing behavior to make fertilization *** appears that these molecular events are initiated by stimuli from the *** neuropeptides have been discovered that promote the initiation of reproductive ***,with the proliferation of genome editing technology,a detailed analysis of the molecules involved in these pathways is *** of gene knockout in zebrafish and medaka is actively *** the other hand,many research reports have shown that the induction pathways of male reproductive behavior are adversely affected by chemical *** of the adverse effects of chemical substances is not only useful as information to prevent their mixing from the viewpoint of protecting the natural environment and as a point of caution in fish farming,but also provides clues for elucidating the pathways of reproductive behavior *** elucidation of the pathways of reproductive behavior induction is also important from the point of view of breeding technology for fish farming and biodiversity *** this review,we summarize recent research on the pathways of male reproductive behavior induction in fish and the possibility of developing new aquaculture techniques depending on the results.

关键词： Fish male reproductive behavior Steroid hormone Pheromone 17,20β-DHP Prostaglandin Goldfish Zebrafish CRISPR/Cas9

Borderline lepromatous leprosy:A case report

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Asian Pacific Journal of Tropical Medicine 2024年第7期17卷 329-332页

作者： Nilshan Fernando Chiranthi Welhenge Ranjan Premaratna ahamed Uwyse Registrar in Medicine University Medical UnitColombo North Teaching HospitalRagamaSri Lanka Honorary Consultant Physician in Medicine University Medical UnitColombo North Teaching HospitalRagamaSri Lanka Department of Medicine Faculty of MedicineUniversity of KelaniyaP.O Box 6Thalagolla RoadRagamaSri Lanka Department of Dermatology Colombo North Teaching HospitalRagamaSri Lanka

Rationale:Lepromatous leprosy can have many atypical presentations,obscuring early *** present a case of lepromatous leprosy,presenting with atypical features,which made a diagnostic *** concerns:A 48-year-old man presented with bilateral lower limb oedema and scaly“ichthyosis like”skin rash in both hands and feet,hepatosplenomegaly and pancytopenia,over a course of three months,without any classical features of leprosy.A skin biopsy revealed an unexpected diagnosis of borderline lepromatous ***:Lepromatous ***:Multi-drug regimen treatment with rifampicin,dapsone and clofazimine for lepromatous ***:The patient made a good clinical ***:In endemic settings,clinicians should be aware of similar atypical manifestations of leprosy to face the global challenge of eradicating this chronic deforming disease.

关键词： Lepromatous leprosy Hepatosplenomegaly Hemophagocytosis Pancytopenia Ichthyosis

Pharmacokinetics and Bioequivalence of Dienogest in Healthy Bangladeshi Female Volunteers: An Open-Label, Single-Dose, Randomized, Two-Way Crossover Study

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Open Journal of Obstetrics and Gynecology 2024年第5期14卷 779-789页

作者： Nusrat Mahmud Nafisa ahamed Uttom Kumar Bhowmik Sabrina Akter Tushi Nayan Ghosh Nithon Chandra Sahana Arifa Akram Md. Alimur Reza BIRDEM General Hospital Dhaka Bangladesh Medical College for Women & Hospital Dhaka Bangladesh Novus Clinical Research Services Ltd. Dhaka Bangladesh National Institute of Laboratory Medicine & Referral Centre (NILMRC) Dhaka Bangladesh

Background: Dienogest is a potential treatment for pelvic pain associated with endometriosis, a condition of significant concern in gynaecology. The current study was conducted as a crossover-randomized bioequivalence assessment of two oral Dienogest 2 mg formulations, aiming to provide valuable insights for healthcare professionals and researchers in this field. Objective: The primary aim of this research was to evaluate and compare the pharmacokinetic characteristics of Dienogest 2 mg tablets. Dinogest (Dienogest 2 mg) tablets, manufactured by Nuvista Pharma Limited in Bangladesh, and Visanne (Dienogest 2 mg) tablets, manufactured by Bayer Pharma in Germany, were the test and reference formulations, respectively. Materials and Method: The study was an open-label, balanced, randomized, two treatments, two sequences, two periods, two-way crossover, laboratory blind, single oral dose bioequivalence study conducted in healthy adult females under fasting conditions. The study was carried out on 13 healthy, non-pregnant female subjects, and all the subjects completed both study periods with a 15-day washout in between. Randomization was used to assign the test and reference formulations to the subjects. Following each oral administration, a series of blood samples were obtained at different time intervals from pre-dose to 72 hours post-dose and analyzed for Dienogest concentrations using a validated bio-analytical method. A standard non-compartmental model was used to analyze the pharmacokinetic parameters. The primary pharmacokinetic parameters were peak plasma drug concentration (Cmax), the area under the plasma concentration-time curve from time zero to time t (AUC0–t), and AUC from t = 0 to infinity (AUC0–∞). The other PK parameters included time to reach Cmax (Tmax), terminal elimination rate constant (Kel), and half-life (t1/2). Result: The ratios and 90% CI for the geometric mean test/re

关键词： Dienogest Bioequivalence Study Endometriosis Novus CRSL

Pharmacokinetic Comparison and Bioequivalence Evaluation of Two 20-mg Vonoprazan Fumarate Tablets in Bangladeshi Healthy Male Subjects

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Journal of Biosciences and Medicines 2024年第8期12卷 230-243页

作者： Md. Alimur Reza Uttom Kumar Bhowmik Sabrina Akter Tushi Nayan Ghosh Nithon Chandra Sahana Md. Ashraful Islam Nafisa ahamed Arifa Akram Novus Clinical Research Services Ltd. Dhaka Bangladesh Medical College for Women & Hospital Dhaka Bangladesh National Institute of Laboratory Medicine & Referral Centre (NILMRC) Dhaka Bangladesh

Background: Vonoprazan fumarate, a novel potassium-competitive acid blocker, outperforms traditional proton pump inhibitors in acid suppression and can be effectively combined with antibiotics to eradicate Helicobacter pylori. Objective: The study aimed to determine if two Vonoprazan formulations—Vonoprazan Fumarate 20 mg Tablet of Beximco Pharmaceuticals Limited, Bangladesh (test product) and Takecab 20 mg Tablet of Takeda Pharmaceutical Company Limited, Japan (reference product)—met FDA’s bioequivalence requirements by comparing their pharmacokinetic characteristics in healthy Bangladeshi adults. Methods: This was a single-center, randomized, open-label, two-period, two-sequence, laboratory-blind, double-crossover experiment. After 10 hours of fasting, 18 subjects were randomly assigned to receive a single oral dose of either formulation. During each treatment period, blood samples were collected at specific times (pre-dose and up to 48 hours post-dose) to measure plasma Vonoprazan levels using liquid chromatography-tandem mass spectrometry. A non-compartmental model was used to calculate pharmacokinetic parameters using the plasma drug concentration-time profile. A statistical comparison of the pharmacokinetic parameters of the two formulations of the test and reference product was conducted using SAS® statistical software to assess the bioequivalence. Primary pharmacokinetic parameters (Cmax, AUC0-t, and AUC0-∞) and secondary parameters (Tmax, T1/2, Kel, and AUC extrapolation) were calculated for both drug formulations. If the confidence intervals for the natural log-transformed Cmax, AUC0-t, and AUC0-∞ values fell between 80% and 125%, the drug products would be considered bioequivalent. Result: The geometric mean ratio of Vonoprazan between the test and reference groups was found to be 109.04% (99.47% - 119.53%), 101.37% (95.58% - 107.50%), and 101.24% (95.43% - 107.41%), with 90% confidence intervals (CIs) for the Cmax, AUC0–t, and AUC0–∞, and these outcomes

关键词： Bioequivalence Vonoprazan Pharmacokinetics

Anomaly Detection Framework in Fog-to-Things Communication for Industrial Internet of Things

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Computers, Materials & Continua 2022年第10期73卷 1067-1086页

作者： Tahani Alatawi ahamed Aljuhani College of Computing and Information Technology University of TabukTabuk71491Saudi Arabia

The rapid development of the Internet of Things(IoT)in the industrial domain has led to the new term the Industrial Internet of Things(IIoT).The IIoT includes several devices,applications,and services that connect the physical and virtual space in order to provide smart,cost-effective,and scalable *** the IIoT has been deployed and integrated into a wide range of industrial control systems,preserving security and privacy of such a technology remains a big *** anomaly-based Intrusion Detection System(IDS)can be an effective security solution for maintaining the confidentiality,integrity,and availability of data transmitted in IIoT *** this paper,we propose an intelligent anomalybased IDS framework in the context of fog-to-things communications to decentralize the cloud-based security solution into a distributed architecture(fog nodes)near the edge of the data *** anomaly detection system utilizes minimum redundancy maximum relevance and principal component analysis as the featured engineering methods to select the most important features,reduce the data dimensionality,and improve detection *** the classification stage,anomaly-based ensemble learning techniques such as bagging,LPBoost,RUSBoost,and Adaboost models are implemented to determine whether a given flow of traffic is normal or *** validate the effectiveness and robustness of our proposed model,we evaluate our anomaly detection approach on a new driven IIoT dataset called XIIoTID,which includes new IIoT protocols,various cyberattack scenarios,and different attack *** experimental results demonstrated that our proposed anomaly detection method achieved a higher accuracy rate of 99.91%and a reduced false alarm rate of 0.1%compared to other recently proposed techniques.

关键词： Anomaly detection anomaly-based IDS fog computing Internet of Things(IoT) Industrial Internet of Things(IIoT) IDS Industrial Control Systems(ICSs)

Anomaly Detection for Internet of Things Cyberattacks

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Computers, Materials & Continua 2022年第7期72卷 261-279页

作者： Manal Alanazi ahamed Aljuhani College of Computing and Information Technology University of TabukTabuk71491Saudi Arabia

The Internet of Things(IoT)has been deployed in diverse critical sectors with the aim of improving quality of service and facilitating human *** IoT revolution has redefined digital services in different domains by improving efficiency,productivity,and *** service providers have adapted IoT systems or plan to integrate them as integral parts of their systems’operation;however,IoT security issues remain a significant *** minimize the risk of cyberattacks on IoT networks,anomaly detection based on machine learning can be an effective security solution to overcome a wide range of IoT *** various detection techniques have been proposed in the literature,existing detection methods address limited cyberattacks and utilize outdated datasets for *** this paper,we propose an intelligent,effective,and lightweight detection approach to detect several IoT *** proposed model includes a collaborative feature selection method that selects the best distinctive features and eliminates unnecessary features to build an effective and efficient detection *** the detection phase,we also proposed an ensemble of learning techniques to improve classification for predicting several different types of IoT *** experimental results show that our proposed method can effectively and efficiently predict several IoT attacks with a higher accuracy rate of 99.984%,a precision rate of 99.982%,a recall rate of 99.984%,and an F1-score of 99.983%.

关键词： Anomaly detection anomaly-based IDS cybersecurity feature selection Internet of Things(IoT) intrusion detection

cis-trans Engineering： Advances and Perspectives on Customized Transcriptional Regulation in Plants

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Molecular Plant 2018年第7期11卷 886-898页

作者： Ankita Shrestha ahamed Khan Nrisingha Dey Division of Microbial and Plant Biotechnology Institute of Life Sciences Department of Biotechnology Government of India Chandrasekharpur Bhubaneswar Odisha India These authors contributed equally to this article.

Coordinated transcriptional control employing synthetic promoters and transcription factors （TFs） can be used to achieve customized regulation of gene expression in planta. Synthetic promoter technology has yielded a series of promoters with modified cis-regulatory elements that provide useful tools for efficient modulation of gene expression. In addition, the use of zinc fingers （ZFs）, transcription activator-like effectors （TALEs）, and catalytically inactive clustered regularly interspaced short palindromic repeats （CRISPR）-associated protein 9 （dCas9） has made it feasible to engineer TFs that can produce targeted gene expression regulation; these approaches are particularly effective when artificial TFs are coupled with transcriptional activators or repressors. This review focuses on strategies used to engineer both promoters and TFs in the context of targeted transcriptional regulation. We also discuss the creation of synthetic inducible platforms, which can be used to impart stress tolerance to plants. We propose that combinatorial ＂cis-trans engineering＂ using a CRISPR-dCas9-based bipartite module could be used to regulate the expression of multiple target genes. This approach provides an attractive tool for introduction of specific qualitative traits into plants, thus enhancing their overall environmental adaptability.

关键词： cis engineering trans engineering synthetic TFs dCas9 bipartite module

Anomaly Detection for Industrial Internet of Things Cyberattacks

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Computer Systems Science & Engineering 2023年第3期44卷 2361-2378页

作者： Rehab Alanazi ahamed Aljuhani College of Computing and Information Technology University of TabukTabuk71491Saudi Arabia

The evolution of the Internet of Things(IoT)has empowered modern industries with the capability to implement large-scale IoT ecosystems,such as the Industrial Internet of Things(IIoT).The IIoT is vulnerable to a diverse range of cyberattacks that can be exploited by intruders and cause substantial reputational andfinancial harm to *** preserve the confidentiality,integrity,and availability of IIoT networks,an anomaly-based intrusion detection system(IDS)can be used to provide secure,reliable,and efficient IIoT *** this paper,we propose an anomaly-based IDS for IIoT networks as an effective security solution to efficiently and effectively overcome several IIoT *** proposed anomaly-based IDS is divided into three phases:pre-processing,feature selection,and *** the pre-processing phase,data cleaning and nor-malization are *** the feature selection phase,the candidates’feature vectors are computed using two feature reduction techniques,minimum redun-dancy maximum relevance and neighborhood components *** thefinal step,the modeling phase,the following classifiers are used to perform the classi-fication:support vector machine,decision tree,k-nearest neighbors,and linear discriminant *** proposed work uses a new data-driven IIoT data set called *** experimental evaluation demonstrates our proposed model achieved a high accuracy rate of 99.58%,a sensitivity rate of 99.59%,a specificity rate of 99.58%,and a low false positive rate of 0.4%.

关键词： Anomaly detection anomaly-based IDS Industrial Internet of Things(IIoT) IoT industrial control systems(ICSs) X-IIoTID