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基于旅游生态足迹模型的山地型景区绿色发展状态评估（英文）

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Journal of Resources and Ecology 2024年第5期15卷 1324-1334页

作者：刘忠秀 Nor Kalsum mohd ISA 苏丹依德里斯教育大学人文科学学院地理与环境系临沂大学土木工程与建筑学院

本研究采用旅游生态足迹模型，对山地风景区的绿色发展状况进行细致评估，其整体目标在于全面分析旅游活动对生态环境所带来的影响。评估过程包括对生态足迹、生态承载力以及生态盈余的计算和分析。在文峰山风景区的个案研究中，研究结... 详细信息

本研究采用旅游生态足迹模型，对山地风景区的绿色发展状况进行细致评估，其整体目标在于全面分析旅游活动对生态环境所带来的影响。评估过程包括对生态足迹、生态承载力以及生态盈余的计算和分析。在文峰山风景区的个案研究中，研究结果显示，当前文峰山风景区旅游业发展阶段呈现出显著的生态盈余状态。生态足迹的盈余意味着旅游活动对文峰山风景区生态环境的影响并未超过其可持续承载能力。这说明尽管旅游活动蓬勃发展，但文峰山风景区的生态环境仍然得到有效保护和维护。生态盈余的存在标志着旅游业发展与当地生态系统保护之间的平衡，这对于该地区的可持续发展至关重要。此外，本研究对旅游生态足迹组成部分进行深入分析，提供关于各种旅游相关活动（如住宿、交通、餐饮、观光和购物等）所带来的生态足迹的详细细分。这些细致的分析为了解不同旅游相关因素所带来的生态动态提供深入分析。对文峰山风景区绿色发展状况的精细评估具有重要意义，决策者可以从中获得旅游促进和环境保护之间微妙平衡的见解。所发现的生态盈余表明目前的做法符合可持续发展目标，并为类似地区提供了一个典范。然而，本研究也凸显运用旅游生态足迹模型进行计算的关键局限性，详细的结果揭示模型适用性、数据收集以及计算方法等方面存在的挑战，强调有必要对旅游生态足迹模型进行进一步完善和验证。认识到这些限制对于改进模型并确保其在不同地理环境中的稳健应用至关重要。本研究提供对山地型风景区，尤其是文峰山风景区的绿色发展状况的深入理解。研究结果为决策者和研究人员提供丰富的参考资料，提供有关旅游相关生态影响特定方面的见解。未来的研究可以在完善评估指标和改进数据收集以及分析方法方面继续努力，以提高绿色发展评估的准确性和可靠性。

关键词：绿色发展旅游生态足迹文峰山风景区

Isolation,characterization and identification of plant growth-promoting rhizobacteria from the rhizosphere of Acacia mangium at sandy BRIS soil

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Frontiers of Agricultural Science and Engineering 2024年第3期11卷 499-513页

作者： Zakiah MUSTAPHA Radziah OTHMAN Nik Nurnaeimah NIK MUHAMMAD NASIR Dhiya Dalila ZAWAWI mohd Khairi CHE LAH Hafizan JUAHIR School of Agriculture Science and Biotechnology Faculty of Bioresources and Food IndustryUniversiti Sultan Zainal AbidinBesut Campus22200 BesutTerengganuMalaysia Department of Land Management Faculty of AgricultureUniversiti Putra Malaysia43400 SerdangSelangorMalaysia Faculty of Plantation and Agrotechnology Universiti Technologi MARA Cawangan Pahang26400 JengkaPahangMalaysia

This study has isolated,characterized,and identified potential plant growthpromoting rhizobacteria(PGPR)with multiple PGP characteristics(N_(2)-fixation,P-and K-solubilization,IAA,and siderophores production)from the rhizosphere BRIS soil of Acacia mangium.A total of 24 pure colonies were isolated and only 8 colonies were selected for further evaluation of the growth rate in 5%organic molasses medium supplemented with 2%KNO_(3).Based on the biochemical,potential PGP characteristics and growth performance,3 superior PGPR strains were selected and identified as Paraburkholderia unamae(UA1),Bacillus amyloliquefaciens(UA6),and Enterobacter asburiae(UAA2)by partial sequencing of the 16S rRNA *** selected bacterial strains either in single or mixed(UA1+UA6+􀀁UAA2)cultures have shown a significant biochemical estimation of the PGP *** strain has its own PGPR traits superiority with UA1 showing the best PGP characteristic followed by UA6 and *** use of mixed bacterial strains was beneficial as it showed the best performance in N_(2)-fixation,siderophores production,and significant effect on corn phenology,growth and yield compared to using a single *** types of microbes showed potential to be used as biofertilizer and should be exploited more.

关键词： Biofertilizer corn organic molasses medium PGP characteristic phytohormone potassium nitrate siderophores

Acute Transverse Myelitis in Pregnancy—A Case Report and a Literature Review

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Open Journal of Obstetrics and Gynecology 2024年第9期14卷 1512-1521页

作者： Huda Abbas Ali Isa Fatema Hasan Zainab mohd Al Aswad Naeema Ahmed Abdulkareem Salmaniya Medical Complex Manama Bahrain Ob Gyn Faculty Arabian Gulf University Manama Bahrain

Purpose: This case report highlights a rare instance of a 26-week pregnant woman presenting with limb numbness, diagnosed with acute transverse myelitis (ATM) following COVID-19 vaccination. Notably, she tested positive for neuromyelitis optica (NMO) but did not exhibit the typical symptoms of blurred vision. Methods: Data were collected from I Seha in governmental hospitals in Bahrain, providing a comprehensive overview of the patient’s clinical journey. Results: The patient was treated with carbamazepine, steroids, and clexane, leading to the successful delivery of a healthy baby at 34 weeks. However, two years postpartum, she reported new episodes of blurred vision and numbness. Subsequent treatment with Rituximab resulted in significant improvement, with a diagnosis of Devic’s disease established. Conclusion: Acute transverse myelitis is a rare condition, particularly during pregnancy, and in this case, symptoms of Devic’s disease were masked by the absence of blurred vision. This condition predominantly affects females in their 20s during childbearing years and can lead to complications such as premature delivery. Effective management includes steroids and antiepileptic drugs, with clexane playing a crucial role in preventing embolisms. A delivery mode may vary based on obstetric factors, and MRI remains the gold standard for diagnosis. Close follow-up is essential for optimal patient outcomes.

关键词： Acute Transverse Myelitis (ATM) COVID-19 Devic’s Syndrome Neuromyelitis Optica (NMO) Obstetric Management of ATM

Emerging Novel Therapeutic Approaches for the Treatment of Alzheimer’s Disease

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Advances in Alzheimer's Disease 2024年第3期13卷 65-94页

作者： Amit Panwar mohd. Imran Khan Rajesh Kumar Rakesh Kumar Santosh Kumar Rai Anil Kumar New Drug Discovery Research Mankind Research Centre Mankind Pharma Limited Gurugram India

Alzheimer’s disease (AD) is caused by synaptic failure and the excessive accumulation of misfolded proteins especially Aβ and tau, and associated with memory loss and cognitive impairment. Treatment of AD mainly consists of symptomatic therapy and disease-modifying therapy (DMT). Several monotherapies including small molecules or antibodies have been evaluated through multiple clinical trials, but a very few have been approved by the USFDA to intervene the disease’s pathogenesis. Past research has shown multifactorial nature of AD, therefore, multi-target drugs were proposed to target different pathways at the same time, however, currently no rationally designed multi-target directed ligand (MTDL) has been clinically approved. Different combinations and bispecific antibodies are also under development. Novel approaches like stem cell-based therapies, microRNAs, peptides, ADCs and vaccines cast a new hope for AD treatment, however, a number of questions remained to be answered prior to their safe and effective clinical translation. This review explores the small molecules, MTDL, and antibodies (monospecific and bispecific) for the treatment of AD. Finally, future perspectives (stem cell therapy, PROTAC approaches, microRNAs, ADC, peptides and vaccines) are also discussed with regard to their clinical applications and feasibility.

关键词： Alzheimer’s Disease (AD) Disease-Modifying Therapy (DMT) MicroRNAs PROTAC

Evaluation of Functional and Radiological Outcome of Arthroscopic-Assisted Anatomical Coracoclavicular (CC) and Acromioclavicular (AC) Ligament Reconstruction in Chronic AC Joint Dislocation

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Journal of Biosciences and Medicines 2024年第3期12卷 223-237页

作者： Muhammad Hafiz Daud Lim Wee Cheong Ang Xi Yuan Che Wan mohd Shaiful Nizam Siti Hawa Tahir Arthroscopy Sports Injury Unit Orthopedic Department Hospital Kuala Lumpur Kuala Lumpur Malaysia

Introduction: Acromioclavicular (AC) joint dislocation is a common shoulder injury, comprising 9% - 12% of shoulder girdle injuries. Optimal management remains challenging, with treatment decisions guided by the Rockwood classification system. Controversies surround grade III injuries, necessitating further classification. Non-operative treatment has shown favorable outcomes, while surgical interventions vary. Anatomical coracoclavicular reconstruction (ACCR) has demonstrated biomechanical advantages over traditional methods. Arthroscopic techniques offer advantages, minimizing deltoid detachment and allowing concurrent pathology identification. This study evaluates the outcomes of arthroscopic-assisted ACCR in chronic AC joint dislocation. Surgical Technique: Arthroscopic-assisted ACCR involves meticulous portal placement, tendon graft harvesting, diagnostic arthroscopy, and coracoid exposure. The clavicle tunnels were made to mimic the conoid and trapezoid ligament positions, using FibreTape#2 loop and Dog Bone Button for correct placement against the coracoid base, and passing the semitendinosus graft through to reconstruct the conoid ligament, reduction done and graft follow through for anatomical reconstruction. Methods: A retrospective cohort study at Hospital Kuala Lumpur analyzed 35 patients undergoing arthroscopic-assisted ACCR for Rockwood grade III - V AC joint dislocations. Inclusion criteria encompassed trauma ≥ 3 weeks prior, no prior shoulder injuries, and ≥12-month follow-up. Functional and radiological assessments utilized ASES scores and coracoclavicular distances, respectively. Statistical analysis employed descriptive statistics and logistic regression. Results: The mean age was 38.9 years (SD 11.26), and 34 of 35 patients were male. Grade IV injuries were predominant (37.1%). Waiting time for surgery averaged 234.9 days. Functional improvement was substantial postoperatively (ASES: 55.5 to 88.9). Radiological outcomes demonstrated reduced coraco

关键词： Arthroscopic-Assisted Anatomical Coracoclavicular and Acromioclavicular Ligament Reconstruction (AACR) Chronic Acromioclavicular Dislocation ASES Score Rockwood Classification

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生物质及生物质相关止血材料的研究进展

复合材料学报 2024年

作者：敖青张戈丁功涛王子凡 Teow Yeit Haan Sajab mohd Shaiful 马忠仁赵蕾西北民族大学生物医学研究中心马来西亚国立大学工程与建筑环境学院

伤口的快速止血和愈合对于解决意外事故造成的出血具有重要意义，相关止血材料的开发和应用一直备受关注。以角蛋白、丝素蛋白、胶原蛋白为代表的蛋白类和以纤维素、壳聚糖、海藻酸为代表的多糖类等生物质材料，因其无毒性、低抗原性、... 详细信息

伤口的快速止血和愈合对于解决意外事故造成的出血具有重要意义，相关止血材料的开发和应用一直备受关注。以角蛋白、丝素蛋白、胶原蛋白为代表的蛋白类和以纤维素、壳聚糖、海藻酸为代表的多糖类等生物质材料，因其无毒性、低抗原性、良好的生物相容性、生物可降解性等优点在止血领域展现了前所未有的应用价值。基于此，本文对生物质止血材料的设计、制备及止血应用的最新研究进展进行了全面综述，并对其发展前景做了展望，以期为新型高效止血材料的开发和实际应用提供思路。

关键词：生物质材料蛋白质多糖止血性能伤口止血

Adverse drug reactions of first-line antitubercular drugs:A retrospective study on characteristics,management,factors,and impacts

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Asian Pacific Journal of Tropical Medicine 2024年第10期17卷 456-464页

作者： Ai Ling Oh mohd Makmor-Bakry Farida Islahudin Chuo Yew Ting Swee Kim Chan Siew Teck Tie Centre of Quality Management of Medicines Faculty of PharmacyUniversiti Kebangsaan MalaysiaKuala LumpurMalaysia Department of Pharmacy Sarawak General HospitalMinistry of Health MalaysiaKuchingSarawakMalaysia Faculty of Pharmacy Universitas AirlanggaSurabayaIndonesia Department of Sarawak State Health Ministry of Health MalaysiaKuchingSarawakMalaysia Division of Respiratory Medicine Department of Internal MedicineSarawak General HospitalMinistry of Health MalaysiaKuchingSarawakMalaysia

Objective:To elucidate the characteristics,management strategies,risk factors,and clinical impacts associated with adverse drug reactions(ADRs)induced by first-line antitubercular drugs to enhance tuberculosis(TB)***:A retrospective cohort study was conducted by retrieving drug-susceptible TB records among adult patients who received TB treatment from 2018 to 2021 at 10 public health clinics in Sarawak,*** the initial TB treatment and occurrence of specific ADRs within the study period were *** analysis was performed to identify the risk factors associated with both overall ADRs and individual types of ***:Among 2953 cases,705(23.9%)developed *** reactions were the most prevalent(47.1%),followed by hepatotoxicity(32.8%)and gastrointestinal disturbances(29.8%).Six out of seven types of ADRs investigated occurred within the intensive phase,mostly manifesting at approximately 2 weeks of *** resulted in the majority(85.3%)of treatment discontinuations,while vision problems led to treatment modifications in half of the *** factors for all ADRs included age≥60 years,females,illicit drug use,and comorbidities such as HIV-positive,diabetes,and chronic liver *** consumption was independently associated with *** caused around one-third of interruptions exceeding 2 weeks(33.0%)and subsequently necessitated treatment restarts(34.5%).Conclusions:Understanding these various aspects contributes to improving the overall management of ADRs in TB *** ADR monitoring and reporting are essential to strengthen ADR management.

关键词： Adverse events Cutaneous reactions Hepatotoxicity Gastrointestinal disturbances Risk factors Tuberculosis

A Framework for Driver DrowsinessMonitoring Using a Convolutional Neural Network and the Internet of Things

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Intelligent Automation & Soft Computing 2024年第2期39卷 157-174页

作者： Muhamad Irsan Rosilah Hassan Anwar Hassan Ibrahim Mohamad Khatim Hasan Meng Chun Lam Wan mohd Hirwani Wan Hussain School of Computing Telkom UniversityBandung40257Indonesia Faculty of Information Science and Technology Universiti Kebangsaan MalaysiaBangi43600Malaysia Department of Electrical Engineering College of EngineeringQassim UniversityAl-Gassim51411Saudi Arabia Graduated School of Business Universiti Kebangsaan MalaysiaBangi43600Malaysia

One of the major causes of road accidents is sleepy *** accidents typically result in fatalities and financial losses and disadvantage other road *** studies have been conducted to identify the driver’s sleepiness and integrate it into a warning *** studies have examined how the mouth and eyelids ***,this limits the system’s ability to identify drowsiness ***,this study designed an Accident Detection Framework(RPK)that could be used to reduce road accidents due to sleepiness and detect the location of *** drowsiness detectionmodel used three facial parameters:Yawning,closed eyes(blinking),and an upright head *** model used a Convolutional Neural Network(CNN)consisting of two *** initial phase involves video processing and facial landmark coordinate *** second phase involves developing the extraction of frame-based features using normalization *** these phases used OpenCV and *** dataset contained 5017 images with 874 open eyes images,850 closed eyes images,723 open-mouth images,725 closed-mouth images,761 sleepy-head images,and 1084 non-sleepy head *** dataset of 5017 images was divided into the training set with 4505 images and the testing set with 512 images,with a ratio of 90:*** results showed that the RPK design could detect sleepiness by using deep learning techniques with high accuracy on all three parameters;namely 98%for eye blinking,96%for mouth yawning,and 97%for head ***,the test results have provided an overview of how the developed RPK prototype can accurately identify drowsy *** findings will have a significant impact on the improvement of road users’safety and mobility.

关键词： Drowsy drivers convolutional neural network openCV microprocessor face detection

Extended Deep Learning Algorithm for Improved Brain Tumor Diagnosis System

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Intelligent Automation & Soft Computing 2024年第1期39卷 33-55页

作者： M.Adimoolam K.Maithili N.M.Balamurugan R.Rajkumar S.Leelavathy Raju Kannadasan mohd Anul Haq Ilyas Khan ElSayed M.Tag El Din Arfat Ahmad Khan Department of Computer Engineering Government Polytechnic CollegeSevvapetTiruvallurTamil Nadu602025India Department of Computer Science and Engineering KG Reddy College of Engineering and TechnologyHyderabadTelangana500075India Department of Computer Science and Engineering Sri Venkateswara College of EngineeringSriperumbudurChennai602117India Department of Computer Science and Engineering Annamalai UniversityChidambaramTamil Nadu608002India Department of Computer Science and Engineering Aarupadai Veedu Institute of TechnologyVinayaka Mission Research FoundationPaiyanurTamil Nadu603104India Department of Electrical and Electronics Engineering Sri Venkateswara College of EngineeringSriperumbudur602117India Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia Electrical Engineering Department Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer Science College of ComputingKhon Kaen UniversityKhon Kaen40002Thailand

At present,the prediction of brain tumors is performed using Machine Learning(ML)and Deep Learning(DL)*** various ML and DL algorithms are adapted to predict brain tumors to some range,some concerns still need enhancement,particularly accuracy,sensitivity,false positive and false negative,to improve the brain tumor prediction system ***,this work proposed an Extended Deep Learning Algorithm(EDLA)to measure performance parameters such as accuracy,sensitivity,and false positive and false negative *** addition,these iterated measures were analyzed by comparing the EDLA method with the Convolutional Neural Network(CNN)way further using the SPSS tool,and respective graphical illustrations were *** results were that the mean performance measures for the proposed EDLA algorithm were calculated,and those measured were accuracy(97.665%),sensitivity(97.939%),false positive(3.012%),and false negative(3.182%)for ten *** in the case of the CNN,the algorithm means accuracy gained was 94.287%,mean sensitivity 95.612%,mean false positive 5.328%,and mean false negative 4.756%.These results show that the proposed EDLA method has outperformed existing algorithms,including CNN,and ensures symmetrically improved *** EDLA algorithm introduces novelty concerning its performance and particular activation *** proposed method will be utilized effectively in brain tumor detection in a precise and accurate *** algorithm would apply to brain tumor diagnosis and be involved in various medical diagnoses *** the quantity of dataset records is enormous,then themethod’s computation power has to be updated.

关键词： Brain tumor extended deep learning algorithm convolution neural network tumor detection deep learning