bluuebunny/crossref_metadata_2025_split huggingface dataset:
When is the optimum time for the initiation of early rehabilitative exercise on the postoperative functional recovery of peri-ankle fractures? A network meta-analysis
Authors: Zhao Ke , Dong Shilei , Wang Wei 
Published: August 2022

ObjectiveThe purpose of this study was to explore the safe and most effective initiation time for the functional recovery of patients with peri-ankle fractures after surgery.MethodWe searched electronic databases, including the Cochrane Library, Embase, PubMed and the reference lists of relevant articles published from inception to October 30, 2021. Two researchers independently performed literature screening and data extraction and evaluated the quality of the included literature using the Newcastle–Ottawa Scale. Network meta-analysis, including consistency testing, publication bias, and graphical plotting, was performed using Stata (v16.0).ResultsA total of 25 articles involving 1756 patients were included in this study. The results of the meta-analysis showed that functional exercise within 2 days after surgery may result in lower VAS scores compared to other techniques (P &lt; 0.05). Functional exercise within 12 months may lead to higher AOFAS scores than that of other techniques (P &lt; 0.05). The total postoperative complication rate, including deep vein thrombosis, showed no statistically significant differences between any two interventions (P &gt; 0.05). The results of the surface under the cumulative ranking (SUCRA) showed that functional exercise within two days postoperatively may have the lowest VAS scores (SUCRA = 82.8%), functional exercise within 1 week postoperatively may have the lowest deep vein thrombosis rate (SUCRA = 66.8%), functional exercise within 10 days postoperatively may have the fewest total postoperative complication rate (SUCRA = 73.3%) and functional exercise within 12 months postoperatively may contribute to the highest AOFAS scores (SUCRA = 85.5%).ConclusionThe results of this study suggest that initiation of rehabilitation within two days after surgery may be the best time to reduce postoperative pain; rehabilitation interventions within 10 days after surgery may be the optimal time for reducing the total postoperative complication rate, including deep vein thrombosis; and continued functional exercise within 12 months after surgery may steadily and ideally improve the function of the ankle joint.Systematic Review Registration: doi: 10.37766/inplasy2021.12.0030, identifier: INPLASY2021120030
Non-Compaction Cardiomyopathy: Diagnostic Opportunities Based on Imaging Technologies (Literature Review)
Authors: Ринейская Н.М. 
Published: August 2022

Некомпактная кардиомиопатия (НКМП) характеризуется уникальной морфологией миокарда, в основе которой лежит двуслойное строение миокарда: один слой образован компактным миокардом, другой слой представляет собой некомпактную структуру с множественными трабекулами и межтрабекулярными лакунами, сооб- щающимися с полостью левого желудочка. Классической триадой клинических проявлений НКМП в настоящее время считается развитие сердечной недостаточности, желудочковых тахиаритмий и системных тромбоэмболий. Диагностика НКМП основана преимущественно на данных методов визуализации (ЭхоКГ, МРТ сердца). В настоящее время нет единственных общепринятых диагностических критериев для НКМП и существует по меньшей мере шесть групп критериев – три для ЭхоКГ, три для МРТ сердца. Однако для постановки диагноза НКМП недостаточно только визуализирующих критериев, необходимо учитывать проявления заболевания во всех его аспектах (семейный анамнез, генетические, клинические и инструментальные данные), которые позволили бы различить доброкачественную гипертрабекулярность и НКМП. Разработан алгоритм, включающий как критерии визуализации, так и другие, более специфические параметры, который поможет клиницисту эффективнее диагностировать пациентов с НКМП. Целью данной статьи были обзор литературы по диагностическим критериям НКМП и предоставление простого и доступного диагностического алгоритма для различения фенотипа гипертрабекулярности и НКМП.
Non-compaction cardiomyopathy (NCCM) is characterized by a unique morphology of the myocardium, which is based on a two-layer structure: one layer is formed by a compact myocardium, the other layer is a non-compact structure with multiple trabeculae and intertrabecular recesses communicating with left ventricular cavity. The classic triad of clinical manifestations of NCCM is currently considered to be the development of heart failure, ventricular tachyarrhythmias and systemic thromboembolism. Diagnosis of NCCM is based mainly on data from imaging methods (EchoCG, CMR). Currently, there are no single generally accepted diagnostic criteria for NCCM and there are at least six groups of criteria: three for EchoCG and three for CMR. However, for the diagnosis of NCCM, only visual criteria are not enough, it is necessary to take into account the manifestations of the disease in all its aspects (family history, genetic, clinical and instrumental data), which would make it possible to distinguish between benign hypertrabeculation and NCCM. An algorithm has been developed that includes both visualization criteria and other, more specific parameters, which will help the clinician diagnose patients with NCCM more effectively. The purpose of this article was to review the literature on the diagnostic criteria of NCCM and provide a simple and accessible diagnostic algorithm for distinguishing the phenotype of hypertrabeculation and NCCM.
صناعة الزيتون في الأردن
Authors: قرنفلة مصطفى 
Published: August 2022

الأردن هو أحد بلدان الشرق الأوسط والذي يقع ما بين خطي عرض 29 و33 درجة شمالا وخطي طول 34 و39 درجة شرقا إذ تمكن ظروفه المناخية من زراعة أشجار الزيتون، لقد شهدت صناعة الزيتون في الأردن تقدما هائلا في آخر أربعين سنة الماضية (2020-1980)، ولقد شمل التقدم نواحي عدة منها على سبيل المثال استخدام التقانات الحديثة في إنتاج الغراس في المشاتل وتبني الزراعة المكثفة للأشجار وأنظمة التربية والتقليم. لقد كان لتبني إدارة بساتين الزيتون في كل نواحي مظاهر الإنتاج بدءً باختيار موقع البستان واستخدام الأسمدة والتسميد والري التكميلي وطرق الري واختيار أصناف الزيتون المناسبة للمواقع واستخدام الحصاد نصف الآلي وإنتاج الزيتون العضوي والمكافحة المتكاملة لآفات شجرة الزيتون ونهاية بتصنيع الزيتون واستخلاص الزيت.
لقد نتج عن التبني الصارم لإدارة بساتين الزيتون في مظاهرها آنفة الذكر وصول الأردن حالة الاكتفاء الذاتي بل إنه أصبح مصدرا. وبإجراء مقارنة بسيطة بين عامي 1997و2007, فقد قفز عدد الأشجار من 346,148 عام 1987 الى 11,127,000 في عام 2007, كما أن إنتاجية الزيتون ازدادت من 82,003 طن متري في عام 1997 إلى 138,689 طنا في عام 2008 وقفزت المساحة المزروعة بأشجار الزيتون من 94,139 الى 127,572 هكتار ولنفس الفترة الزمنية. من ناحية أخرى، تعزى الزيادة في الإنتاجية مباشرة لاستخدام الري التكميلي الذي مكن من زراعة أشجار الزيتون في الجزء الشرقي من المملكة باستخدام المياه الجوفية. لقد تغير إنتاج زيت الزيتون وزيتون المائدة والزيتون المصدر والمستورد تغيرا ملحوظا خلال الفترة ما بين عام 1986 و2006, وعلى سبيل المثال لا الحصر، بلغت الإنتاجية في زيتون المائدة والزيتون المصدر والمستورد عام 1986, 31,800 و1200 و300 طن على الترتيب، بينما في عام 2006 تغيرت هذه الارقام الى 146,800 و 2,700 وصفر طن على الترتيب، وأما بالنسبة لزيت الزيتون، بلغت الكمية التي تم تصديرها وتلك المستوردة 1,900 و 7,400 طن على الترتيب ولنفس العام 1986, بينما بلغت الكمية المصدرة 2500 طنا في عام 2006 والمستوردة صفر طناً.
مما تقدم، يستنتج أن مستقبل صناعة الزيتون في الأردن واعدة على المديين القصير والطويل.
Sources and Risk factors of a Novel MRSA Spa Type Circulating in Neonatal Intensive Care Unit
Authors: Darwish Rula , Abu-Qatouseh Luay , Badran Eman 
Published: August 2022

Background: Methicillin-Resistant Staphylococcus aureus is a major source of colonization and infection affecting premature neonates in Neonatal Intensive Care Unit. Objectives: to determine the prevalence, risk factors, and resistant profiles in neonates, their mothers, and healthcare personnel. In addition, to confirm the clonal similarity of neonatal Methicillin-Resistant S. aureus to their mothers or healthcare personnel. Materials and Methods: Samples were screened and identified for Methicillin-Resistant S. aureus colonization by gram stain, biochemical tests, oxacillin disk diffusion test, and resistance pattern. PCR was used to detect the presence of nuc and mecA gene. DNA fingerprinting was conducted using a standard spa typing technique. Results: Healthcare personnel colonization was high (27.9%) compared to neonatal and maternal colonization (15F%, 9.7%, respectively) and was found to be the only significant risk factor for neonatal MRSA colonization. Fifteen different spa types were identified and the novel t12492 was predominant among neonates and was reported for the first time. There was no demonstrated distribution correlation with sources of colonization. Colonization appeared to originate from multiple sources. Conclusion: Findings suggest conducting periodical molecular investigations of colonization of MRSA in healthcare personnel. Surveillance, molecular analysis of strains, reinforcement of an inclusive infection control program and antibiotic control could be useful in preventing MRSA transmission.
Everolimus loaded NPs with FOL targeting: preparation, characterization and study of its cytotoxicity action on MCF-7 breast cancer cell lines
Authors: Kzar Hamzah H. , Al-Gazally Moaed E. , Wtwt Moshtak A. 
Published: August 2022

Background and objective: The mortality cases of breast cancer (BC) are probably caused by inadequate of the benefits of treatment and early detection, moreover the lack of appropriate facilities for diagnosis and detection, also high cost effective of the treatment. The preparation of Everolimus (EV) loaded PLGA-TPGS NPs (nano-EV) targeting with folate (PLGA-TPGS-EV-FOL) and investigate their toxicity effect on human MCF-7 BC cell lines may be given an appropriate lines in BC treatment. Methods: EV loaded NPs were prepared by combination of sonication and emulsification/solvent evaporation method with slight modifications into four formulations A, B, C , and D. EV loaded NPs were characterized by FESEM and TEM for particle size (PS) and zeta potential (ZP), FT-IR, drug loading (DL%), encapsulation efficiency (EE%), In vitro drug release, inhibition concentration IC50 and cell viability%, apoptosis, angiogenesis, glucose transporting, and HIF-1A mRNA gene expression. Results: Formulation B of EV loaded NPs was found to be lowest PS 100±12.7 nm, PDI 0.152, and have ZP, -23.2.5. The higher DL% content of EV was detected as 7.32±1.1% and EE% was 87± 2.6% in formulation B. The results suggested that the free EV dissolution was 80% within 4h but release profile of A, B, C, and D formulations within 4h were 34, 23, 26, 30%, respectively. EV formulated in NPs showed better effects against the MCF-7 BC cell line than EV free and EV loaded NPs formulation B achieved even better therapeutic effect than A, C, and D formulations. HIF-1A mRNA gene expression was decreased when treated the MCF-7 BC cells with EV loaded NPs formulation B compare to expression in untreated cells. Conclusion: EV loaded NPs may be useful in lowering the cost of treatment and may be involved in the decline of chemotherapy side effects.
Electronic Prescribing System and electronic health record priorities for antimicrobial stewardship
Authors: Albahar Fares , Alhamad Hamza , Abu-Farha Rana K , Alsalamat Husam , Jaber Deema , Albsoul-Younes Abla M. 
Published: August 2022

Rationale, aims, and objectives: This study provided a platform for electronic prescribing design features that may facilitate antimicrobial stewardship. This study aimed to identify software features within electronic prescribing systems and to assign priorities to these software features according to the opinions of the infection specialist health care professionals. Also, to identify any differences in priorities according to a professional group and experience in using electronic prescribing and communicate research findings to policy-makers and electronic prescribing manufacturers.
Methods: The study was conducted in a large (600-bed) governmental tertiary and teaching hospital in Amman, Jordan. The survey was delivered by hand to antimicrobial prescribers (internists, surgeons, paediatricians, infectious diseases specialists, and critical care specialists) and non-prescribers (medical interns, clinical pharmacists, nurses, and other allied health care professionals) who filled out the survey face to face. The delivery of the survey started on March 15, 2020, and was closed on April 7, 2020.
Results: Responses were received from 210 individuals. Interns represented more than one-third of respondents (n= 79, 37.6%), with 15.7% were internal medicine physicians. Among the healthcare professionals, around 44.7% (n= 94) are considered prescribers to antimicrobials, while others are considered non-prescribers (n= 116, 55.2%). The majority of respondents (n= 205, 97.6%) reported using an electronic prescribing and electronic health record system for part or all in their hospital, with 35.7% (n= 75) of them reported using these systems for more than one year. The prompt prescribing feature having the highest assigned priority was the allergy checker (n= 193, 91.9%) followed by the dose checker (n= 192, 91.4%).
Conclusion: This study demonstrates the first attempt to describe views of healthcare professionals in Jordan about the potential significance of prescribing prompt and active prescription surveillance software features on clinical, microbiological and process outcomes to support antimicrobial stewardship. Findings from this study reveal considerable demand for additional software features expressed by the healthcare professionals charged with promoting rational use of antimicrobials and a consensus of anticipated positive impact on patient safety and efficiency outcomes.
Synergistic effects of neem (Azadirachta indica L.) leaves extract with conventional antibiotic against gram positive and negative microorganism
Authors: Bhinge Somnath D. , Randive Dheeraj S. , Bhutkar Mangesh A , Shejwal Kiran P , Jadhav Amit D. , Jadhav Rahul P. 
Published: August 2022

Background: Neem has been known to possess several complex phytoconstituent(s) and exhibits wide array of medicinal and household uses that are attributed to its active isolate(s) that possesses an ability to cure many chronic disease(s) and disorder(s). The current investigation aimed to study the combined antimicrobial effect of crude Neem extract and selected antibiotics namely Ciprofloxacin, Cefixime, Chloramphenicol, Ampicillin, Sulfamethoxazole, Tetracycline and Ofloxacin on selected Gram’s positive and negative micro organism. Crude alcoholic Neem leaf extract was used for the study.
Method: Solution A containing Neem extract 5 mg mL-1 alone, Solution B comprising of Standard antibiotics alone 5 mg mL-1 and Solution C containing combination of 2.5 mg mL-1 of Neem extract and selected standard antibiotic at a concentration of 2.5 mg mL-1 were tested for their antibacterial potential against selected strain of micro-organisms namely Klebsiella pneumoniae, Staphylococcous aureus, Pseudomonas aeruginosa, E. coli and Bacillus subtilis using agar plate technique.
Results: The obtained results indicated the synergistic activity of the Neem extract and the selected antibiotics. It was observed that half concentration of antibiotic was sufficient to exert the antimicrobial effect when they were combined with Neem extract. Thus, the dose of standard antibiotics may be marginally reduced to almost half in concentration when combined with the Neem extract without compromising the efficacy. The zones of inhibition indicated that the combination of Neem extract and antibiotic exerted a synergistic effect which will facilitate to achieve reduction of the dose of standard antibiotics.
Conclusions: It can be concluded from the research that Neem extract when combined with the conventional antibiotic(s) can be used as a novel antimicrobial agent which exhibits a synergistic effect and also helpful to achieve a dose reduction of conventional antibiotic(s).
Psychological impact and mental health effect of COVID-19 among Jordanian population
Authors: Qasem Nuha , Al-Ali Mahmoud , Sanwar Mohammad , Aquily Mohammad 
Published: August 2022

Background
During public health emergencies, the major efforts of policy makers are directed towards physical and medical consequences, and little is directed towards the psychological impact of these outbreaks.
Aim
To assess the psychological impact and mental health effects of the current pandemic of Corona virus (COVID 19) on the general population in Jordan.
Methodology
A cross-sectional study was conducted using an online survey directed towards the general population in Jordan during the period March 25th to April 2nd, 2020. Mental health effect was measured using the Arabic version of the Depression, Anxiety and Stress Scale (DASS-21), while the psychological impact was measured using questions from the Arabic version of the Impact of Event Scale-Revised (IES-R). Total number of respondents was 1946.
Results
The levels of depression, anxiety and stress as measured by DASS-21 questionnaire showed that 13% had severe depression, 10% had severe anxiety, and 6.3% had severe stress. There was more psychological impact compared with mental health effects on the study population, as more than quarter of the sample (26.7%) reported severe psychological impact (score >38).
Factors associated with higher psychological impact and mental health effects include younger age group, being female, childless, living in the remote areas, being a bachelor’s degree student or graduate, having low monthly income and having physical symptoms in the 14 days prior to the study.
Conclusion
Findings of this study can inspire health projects at the national level to better deal with these psychological issues in response to the current or any future health emergencies in Jordan.
Bayesian Cramer-Rao Lower Bound for Magnetic Field-based Localization
Authors: Siebler Benjamin , Sand Stephan , Hanebeck Uwe D. 
Published: August 2022

<p>Magnetic field-based localization is a finger-printing technique using position-dependent distortions of the Earth magnetic field that enables localization in GNSS-denied areas like indoor environments. In addition, magnetic localization is passive and does not require dedicated devices in the infrastructure as it would be the case for comparable RF-based techniques. In this paper, we show how to analyze the achievable position accuracy of magnetic localization based on Bayesian Cramer-Rao lower bounds. The derivation of the bound requires an analytical model, e.g., a map or database, that links the position that is to be estimated to the corresponding magnetic field value. Unfortunately, finding an analytical model from the laws of physics in not feasible due to the complexity of the involved differential equations and the required knowledge about the environment. In this paper, we therefore use a Gaussian process (GP) that approximates the true analytical model based on training data. The GP ensures a smooth, differentiable likelihood and allows a strict Bayesian treatment of the estimation problem. </p>
<p>Based on measurements in an indoor environment, the bound is evaluated for different sensor heights and is compared to the mean squared error of a particle filter. Furthermore, the bound is calculated for the case when only the magnetic magnitude is used for positioning and the case when the whole vector field is considered. For both cases, the resulting position bound is below 10 cm indicating an high potential accuracy of magnetic localization.</p>
Hybrid IRS-Assisted Secure Satellite Downlink Communications: A Fast Deep Reinforcement Learning Approach
Authors: Ngo Quynh , Phan Tran Khoa , Mahmood Abdun , Xiang Wei 
Published: August 2022

<p>This paper studies a secure satellite-terrestrial communication system assisted by a hybrid intelligent reflecting surface (IRS). The hybrid IRS, which composes of active and passive reflecting elements, is deployed to enhance the secure communication from the satellite to multiple users against multiple eavesdroppers. A joint design optimization problem for the satellite beamforming and the hybrid IRS interaction is formulated to maximize the system worst-case secrecy rate under time-varying channel conditions. With high system dynamic and complexity, deep reinforcement learning (DRL) is employed to solve the non-convex optimization problem. We propose a fast DRL algorithm, namely deep PDS-DPG, to obtain the robust secure beamforming design for satellite and hybrid IRS. Numerical results show a better learning efficiency of the proposed algorithm as to the state-of-the-art deep deterministic policy gradient (DDPG) algorithm with comparable system secrecy performance. </p>
Hybrid IRS-Assisted Secure Satellite-Terrestrial Communications: A Fast Deep Reinforcement Learning Approach
Authors: Ngo Quynh , Phan Tran Khoa , Mahmood Abdun , Xiang Wei 
Published: August 2022

<p>This paper studies a secure satellite-terrestrial communication system assisted by a hybrid intelligent reflecting surface (IRS). The hybrid IRS, which composes of active and passive reflecting elements, is deployed to enhance the secure communication from the satellite to multiple users against multiple eavesdroppers. A joint design optimization problem for the satellite beamforming and the hybrid IRS interaction is formulated to maximize the system worst-case secrecy rate under time-varying channel conditions. With high system dynamic and complexity, deep reinforcement learning (DRL) is employed to solve the non-convex optimization problem. We propose a fast DRL algorithm, namely deep PDS-DPG, to obtain the robust secure beamforming design for satellite and hybrid IRS. Numerical results show a better learning efficiency of the proposed algorithm as to the state-of-the-art deep deterministic policy gradient (DDPG) algorithm with comparable system secrecy performance. </p>
UAV-Assisted-Smart Farming for Agricultural Monitoring in a Large Scale WSN area
Authors: Leranso Mesfin 
Published: August 2022

<p>With the aid of multiple autonomous unmanned aerial vehicles (UAVs), data collection from the large-scale Wireless Sensor Network (WSN) is a highly efficient, but challenging solution. In this paper, to minimize the total energy consumption of both UAVs, and the effective use of sink nodes' power, we optimize both the number of sink nodes and the trajectories of multiple UAVs in WSN. To do this, the UAV can start from the docking station and come back to the same dock station after the completion of the mission. To increase the lifetime WSN, we specifically use the Genetic Algorithm to choose the number of sink nodes. Then, we utilize a Deep Q-network-based method providing a Markov decision pr to establish all trajectory paths. We can show that our method can expedite the process of identifying the best answers by simulating its performance and contrasting it with other traditional heuristic benchmark techniques.</p>