Miracle-dz/UniFAR-FTUs huggingface dataset:
Virtual reality in retirement communities: Technology acceptance and tourist destination recommendation

Despite the importance of analysing virtual reality (VR) technology acceptance by older adults and investigating the use of this technology as a marketing tool to enhance destination tourism word of mouth (WOM), no study seems to have addressed these issues. Thus, this study explores how the technology acceptance model (TAM) and anxiety regarding the use of VR after virtually visiting a tourist destination influence older adults’ intention to reuse VR for tourism. Most importantly, this study examines whether this intention is related to WOM recommendations of a virtually visited tourist destination. Using a combination of quantitative (PLS) and qualitative (thematic analysis) methods, this study uses data gathered from older adults living in four continuing care retirement communities. VR glasses (Oculus Go Standalone) were used to virtually visit the Carnival of Venice. Results show that the TAM factors are key drivers of older adults’ use of VR, which in turn influences tourist destination recommendations. Anxiety was found to reduce the VR device's perceived ease of use, but it was not found to be related to perceived usefulness. Implications for practitioners and possible directions for future research are discussed.
Intravitreal Administration Effect of Adipose-Derived Mesenchymal Stromal Cells Combined with Anti-VEGF Nanocarriers, in a Pharmaceutically Induced Animal Model of Retinal Vein Occlusion

Antiangiogenic therapeutic agents (anti-VEGF) have contributed to the treatment of retinal vein occlusion (RVO) while mesenchymal stromal cell- (MSCs-) mediated therapies limit eye degeneration. The aim of the present study is to determine the effect of adipose-derived MSCs (ASCs) combination with nanocarriers of anti-VEGF in a pharmaceutically induced animal model of RVO. Nanoparticles (NPs) of thiolated chitosan (ThioCHI) with encapsulated anti-VEGF antibody were prepared. ASCs were isolated and genetically modified to secrete the green fluorescence GFP. Twenty-four New Zealand rabbits were divided into the I-IV equal following groups: ASCs, ASCs + nanoThioCHI-anti-VEGF, RVO, and control. For the RVO induction, groups I-III received intravitreal (iv) injections of MEK kinase inhibitor, PD0325901. Twelve days later, therapeutic regiments were administered at groups I-II while groups III-IV received BSS. Two weeks later, the retinal damage evaluated via detailed ophthalmic examinations, histological analysis of fixed retinal sections, ELISA for secreted cytokines in peripheral blood or vitreous fluid, and Q-PCR for the expression of related to the occlusion and inflammatory genes. Mild retinal edema and hemorrhages, limited retinal detachment, and vasculature attenuation were observed in groups I and II compared with the pathological symptoms of group III which presented a totally disorganized retinal structure, following of positive immunostaining for neovascularization and related to RVO markers. Important reduction of the high secreted levels of inflammatory cytokines was quantified in groups I and II vitreous fluid, while the expression of the RVO-related and inflammatory genes has been significantly decreased especially in group II. GFP+ ASCs, capable of being differentiated towards neural progenitors, detected in dissociated retina tissues of group II presenting their attachment to damaged area. Conclusively, a stem cell-based therapy for RVO is proposed, accompanied by sustained release of anti-VEGF, in order to combine the paracrine action of ASCs and the progressive reduction of neovascularization.
Comparison of outcomes between pessary use and surgery for symptomatic pelvic organ prolapse: A prospective self-controlled study

Purpose We compared the degree of pelvic floor symptom improvement between pessary use and prolapse surgery. Materials and Methods Pessary-naïve women who elected prolapse surgery were enrolled and used a pessary preoperatively (for ≥7 days and ≤30 days). Pelvic floor symptoms were assessed at baseline, after pessary use, and at 3 months postoperatively. The primary outcome was concordance in the degree of symptoms improvement between pessary use and surgery, as assessed by Patient Global Impression of Improvement (PGI-I). Secondary outcomes were related to prolapse specific symptoms on validated questionnaires (POPDI-6, PFIQ-7). The McNemar test was used for comparisons of discordant pairs for comparisons of the PGI-I ratings after pessary use and surgery. Results Sixty-one participants were enrolled (March 2016 through April 2019) and 58 patients used a pessary. Mean±standard deviation age was 60.7±10.7 years; 24.1% had prior hysterectomy, and 13.8% had prior prolapse surgery. While both treatments demonstrated symptomatic improvement, concordance in the degree of overall improvement on the PGI-I score was poor (n=40); responses significantly favored more improvement postoperatively (p<0.001). Pessary use and surgery were associated with significant improvements in prolapse symptoms from baseline on POPDI-6 (both p<0.001) and POPIQ-7 (pessary, p=0.002; surgery, p<0.001). The degree of improvement was larger postoperatively compared to post-pessary use on POPDI-6 (p<0.001) and PFIQ-7 (p=0.004). Conclusions Both pessary use and surgery significantly improved pelvic floor symptoms from baseline. However, concordance in degrees of improvement between these treatments was poor, with more favorable outcomes after surgery for prolapse symptoms.
Review: Induced Seismicity During Geoenergy Development—A Hydromechanical Perspective

The basic triggering mechanism underlying induced seismicity traces back to the mid‐1960s that relied on the process of pore‐fluid pressure diffusion. The last decade has experienced a renaissance of induced seismicity research and data proliferation. An unprecedent opportunity is presented to us to synthesize the robust growth in knowledge. The objective of this article is to provide a concise review of the triggering mechanisms of induced earthquakes with a focus on hydro‐mechanical processes. Four mechanisms are reviewed: pore‐fluid pressure diffusion, poroelastic stress, Coulomb static stress transfer, and aseismic slip. For each, an introduction of the concept is presented, followed by case studies. Diving into these mechanisms sheds light on several outstanding questions. For example, why did some earthquakes occur far from fluid injection or after injection stopped? Our review converges on the following conclusions: (a) Pore‐fluid pressure diffusion remains a basic mechanism for initiating inducing seismicity in the near‐field. (b) Poroelastic stresses and aseismic slip play an important role in inducing seismicity in regions beyond the influence of pore‐fluid pressure diffusion. (c) Coulomb static stress transfer from earlier seismicity is shown to be a viable mechanism for increasing stresses on mainshock faults. (d) Multiple mechanisms have operated concurrently or consecutively at most induced seismicity sites. (e) Carbon dioxide injection is succeeding without inducing earthquakes and much can be learned from its success. Future research opportunities exist in deepening the understanding of physical and chemical processes in the nexus of geoenergy development and fluid motion in the Earth’s crust.
Clinical Care of Hyperthyroidism Using Wearable Medical Devices in a Medical IoT Scenario

This paper presents an in-depth study and analysis of clinical care of patients with hyperthyroidism using wearable medical devices in the context of medical IoT scenarios. According to the use scenario of the gateway and the connectivity of the equipment, the hardware architecture, hardware interfaces, functionality, and performance of the gateway were briefly designed, so as to monitor patients with hyperthyroidism more comprehensively and save labor costs. The gateway can provide access to different devices and adaptation functions to different hardware interfaces and provide hardware support for the subsequent deployment of the proposed new medical communication protocols and related information systems. A medical data convergence information system based on multidevice management and multiprotocol parsing was designed and implemented. The system enables the management and configuration of different medical devices and access to data through the targeted parsing of the underlying medical device communication protocols. The system also provides the automatic adaptation of multiple types of underlying medical device communication protocols and automatic parsing of multiple versions and can provide multiple devices to process fused data streams or device information and data from a single device. The use of event-driven asynchronous communication eliminates the tight dependency on service invocation in the synchronous communication approach. The use of a metadata-based data model structure enables model extensions to accommodate the impact of iterative business requirements on the database structure. Real-time patient physiological data transmission for intraoperative monitoring based on the MQTT protocol and video transmission for intraoperative patient monitoring based on the RTMP protocol were implemented. The development of the intelligent medical monitoring service system was completed, and the system was tested, optimized, and deployed. The functionality and performance of the system were tested, the performance issue of slow query speed was optimized, and the deployment of the project using Docker containers was automated.
Prediction of bug‐fixing time based on distinguishable sequences fusion in open source software

Generally, open source software (OSS) has a longer bug‐fixing time. If the bug‐fixing time can be predicted accurately as early as possible, it will be beneficial to the efficiency of bug fixing. Traditional bug‐fixing time prediction models are usually based on static features of bug report. It is difficult to go into service due to inappropriate feature extraction of data and low prediction accuracy of models. The HMM prediction model can predict the bug‐fixing time accurately according to earlier fixing activities. However, this method of temporal sequence feature selection results in a large number of inconsistent samples, and the HMM prediction model can only capture the adjacent activity behavior information of one sequence, and hence, it will reduce the performance of bug‐fixing time prediction. By incorporating the activity information and time information of bug activity transfer, the proportion of inconsistent samples is reduced significantly. In this paper, a double‐sequence input LSTM model (LSTM‐DA) is designed to capture both sequences interaction features and long‐distance‐dependent features. The results of the experiments show that the proposed model can improve the F‐measure and accuracy indicators by about 10% compared with the HMM model in all dimensions, which demonstrates the effectiveness of our method.
Memristor-Based Neural Network Circuit of Memory With Emotional Homeostasis

Most artificial neural networks based on memristor only consider memory and ignore other factors that may affect memory, such as emotion. In this paper, a memristive neural network circuit that can realize memory with emotional homeostasis is designed. It mainly contains three modules: an auditory module, an emotion module and a memory module. The auditory module mimics the auditory receiver in the brain, which can receive external music stimuli and generate auditory voltage. The emotion module realizes a conversion mechanism from hearings to emotions. The extent of emotion will increase with the increase of auditory voltage. In addition, the function of emotional homeostasis is also implemented by the emotion module. If the auditory voltage exceeds a certain value, the extent of emotion will not increase but decrease. The memory module implements the function of learning and forgetting based on the biological synapse composed of memristors. The simulation results in PSPICE show that the proposed circuit can learn and forget under various types of music like humans. The memory neural network with emotional generation and homeostasis provides a reference for further development of brain-like systems.
Surgical Antimicrobial Prophylaxis in Patients of Neonatal and Pediatric Age Undergoing Orthopedic and Hand Surgery: A RAND/UCLA Appropriateness Method Consensus Study

Surgical site infections (SSIs) represent a potential complication in any type of surgery and can occur up to one year after the procedure in the case of implant placement. In the field of orthopedic and hand surgery, the rate of SSIs is a relevant issue, considering the need for the placement of synthesis devices and the type of some interventions (e.g., exposed fractures). This work aims to provide guidance on the management of peri-operative antibiotic prophylaxis for the pediatric and neonatal population undergoing orthopedic and hand surgery in order to standardize the management of patients and to reduce, on the one hand, the risk of SSI and, on the other, the development of antimicrobial resistance. The following scenarios were considered: (1) bloodless fracture reduction; (2) reduction of unexposed fracture and grade I and II exposed fracture; (3) reduction of grade III exposed fracture or traumatic amputation; (4) cruel fracture reduction with percutaneous synthesis; (5) non-traumatic amputation; (6) emergency intact skin trauma surgery and elective surgery without synthetic media placement; (7) elective orthopedic surgery with prosthetic and/or synthetic media placement and spinal surgery; (8) clean elective hand surgery with and without bone involvement, without use of synthetic means; (9) surgery of the hand on an elective basis with bone involvement and/or with use of synthetic means. This manuscript has been made possible by the multidisciplinary contribution of experts belonging to the most important Italian scientific societies and represents, in our opinion, the most complete and up-to-date collection of recommendations regarding the behavior to be adopted in the peri-operative setting in neonatal and pediatric orthopedic and hand surgery. The specific scenarios developed are aimed at guiding the healthcare professional in practice to ensure the better and standardized management of neonatal and pediatric patients, together with an easy consultation.
Modeling-Based EMG Signal (MBES) Classifier for Robotic Remote-Control Purposes

The fast-growing human–robot collaboration predicts that a human operator could command a robot without mechanical interface if effective communication channels are established. In noisy, vibrating and light sensitive environments, some sensors for detecting the human intention could find critical issues to be adopted. On the contrary, biological signals, as electromyographic (EMG) signals, seem to be more effective. In order to command a laboratory collaborative robot powered by McKibben pneumatic muscles, promising actuators for human–robot collaboration due to their inherent compliance and safety features have been researched, a novel modeling-based electromyographic signal (MBES) classifier has been developed. It is based on one EMG sensor, a Myotrac one, an Arduino Uno and a proper code, developed in the Matlab environment, that performs the EMG signal recognition. The classifier can recognize the EMG signals generated by three hand-finger movements, regardless of the amplitude and time duration of the signal and the muscular effort, relying on three mathematical models: exponential, fractional and Gaussian. These mathematical models have been selected so that they are the best fitting with the EMG signal curves. Each of them can be assigned a consent signal for performing the wanted pick-and-place task by the robot. An experimental activity was carried out to test and achieve the best performance of the classifier. The validated classifier was applied for controlling three pressure levels of a McKibben-type pneumatic muscle. Encouraging results suggest that the developed classifier can be a valid command interface for robotic purposes.
Medicinal Plants Diversity in Nashik District (Maharashtra: India)-Polypetalae& Gamopetalae

94 DOI: 10.37398/JSR.2021. 650720 Abstract: Botanical survey on medicinal plants and their indigenous uses was carried out in Nashik district, Maharashtra. These areas are floristically rich areas where plants of various categories are growing spontaneously in their natural habitat. The rural community of these regions uses some of the plants as medicine for the treatment of various diseases and ailments. In this paper 47 genus and 50 species of medicinal plants belonging to 11 families were recorded from Nashik district. These medicinal plants are listed according to Bentham and Hooker’s system such as Botanical name, local names along with family, Fruits and Flowers, part used and disease treated.
Regional Energy Planning: Optimising Geothermal Energy Production Under Natural Conditions

DOI: https://doi.org/10.46544/AMS.v26i4. 15 Abstract Geothermal energy can be an attractive source of renewable energy in many respects. The purpose of this paper is to assess the role of geothermal energy in the West Pomeranian Region of Poland. The article presents the key principles of geothermal energy development, its role, functions and perspectives in fostering renewable energy usage in the region in question. Strengths, weaknesses as well as opportunities and threats of using geothermal energy are analysed based on the literature review. A regional geothermal energy development model is proposed. The study is based on statistical data. The results of the conducted study show that geothermal energy can be an important source of regional energy supply in the West Pomeranian Region. However, advantages and shortcomings should be taken into account when deciding on the promotion of geothermal energy in the selected region.
Combining HDAC and MEK Inhibitors with Radiation against Glioblastoma-Derived Spheres

Glioblastoma stem-like cells (GSLCs) in glioblastoma limit effective treatment and promote therapeutic resistance and tumor recurrence. Using a combined radiation and drug-screening platform, we tested the combination of a histone deacetylase inhibitor (HDACi) and MAPK/ERK kinase inhibitor (MEKi) with radiation to predict the efficacy against GSLCs. To mimic a stem-like phenotype, glioblastoma-derived spheres were used and treated with a combination of HDACi (MS-275) and MEKi (TAK-733 or trametinib) with 4 Gy irradiation. The sphere-forming ability after the combined radiochemotherapy was investigated using a sphere formation assay, while the expression levels of the GSLC markers (CD44, Nestin and SOX2) after treatment were analyzed using Western blotting and flow cytometry. The combined radiochemotherapy treatment inhibited the sphere formation in both glioblastoma-derived spheres, decreased the expression of the GSLC markers in a cell-line dependent manner and increased the dead cell population. Finally, we showed that the combined treatment with radiation was more effective at reducing the GSLC markers compared to the standard treatment of temozolomide and radiation. These results suggest that combining HDAC and MEK inhibition with radiation may offer a new strategy to improve the treatment of glioblastoma.
FTICR/MS Analysis of Micromeria Fruticosa and Teucrium Polium Growing in Lebanon

Plants are considered as significant source of natural bioactive substances with a wide range of applications in pharmaceutical, food, and cosmetic industries and have been used in traditional medicine since ancient times.1 Herbal medicine is used by 78 percent of the world's population (in Latin America and Asia) and has been shown to have few negative side effects.2 However, the use of natural products has several drawbacks, the most significant of which are the limited availability of the compounds and their minute quantities, which is not usually sufficient for commercial extraction.3
Organoleptic and Physicochemical Properties of Soy‐Milk Yoghurt Enriched with Moringa Oleifera Root Powder

The organoleptic and physicochemical properties of soy‐milk yoghurt enriched with moringa root powder are evaluated here. Moringa oleifera soy‐milk yoghurt is produced at different formulations blended from cow milk: soymilk: Moringa in a ratio of A (100%:0%:0%; B (60%:39.9%:0.1%); C (50%:49.9%:0.1%), D (40%:59.9%:0.1%), and E (0%:99.9%:0.1%) with sample A serving as the control. Sensory analysis is done for each formulation and the physicochemical properties of the preferred formulations are performed. The pH and titratable acidity are measured by a pH meter and titration respectively. Proximate composition is measured according to Association of Official Analytical Chemists methods. The mineral content is determined by atomic spectrophotometry. Results show that soy‐milk Moringa enriched yoghurts (B and C) are preferred after choosing the control (A) as the best. The incorporation of the soy‐milk Moringa significantly increases the fat, fiber, protein, copper manganese, and iron content in the samples (p < 0.05). Thus Moringa enriched soy‐milk yoghurts (B and C) represent a cheaper alternative to the control (A) providing protein‐energy for low income families that is expected to help reduce the occurrence of kwashiorkor and wasting. The presence of zinc and calcium is expected to help in bone growth and development hence preventing stunting in children under five years and iron is expected to help reduce the prevalence of anemia among pregnant women.
Performansi Response Time Query Pada Hadoop-Hive Menggunakan Metode Partition

Hive menggantikan teknik pemrosesan tradisional RDBMS yang tidak dapat digunakan pada big data. Tetapi, Hive dengan kondisi default akan mencari data secara menyeluruh saat mengeksekusi query. Metode partition mampu mengelompokkan data, sehingga dilakukan pengujian untuk mengetahui apakah dengan mengelompokkan data akan memberikan peningkatan performansi response time query atau sebaliknya. Pada penelitian ini, dibangun infrastruktur Hadoop cluster dengan sistem multi node menggunakan virtual machine. Dataset yang digunakan adalah dataset Movielens dengan kardinalitas atribut yaitu 5, 50 dan 100. Tiap dataset terdiri dari 15 juta records data. Berdasarkan hasil penelitian, metode partition selain mampu mengelompokkan data juga memberikan performansi response time query yang lebih cepat sebesar 30.8% dibandingkan kondisi default. Selain itu, Metode partition saat kardinalitas 100 lebih baik dibandingkan dua kardinalitas yang lebih kecil yaitu kardinalitas 5 dan kardinalitas 50.