Miracle-dz/UniFAR-FTUs huggingface dataset:
Mapping Psilocybin-Assisted Therapies: A Scoping Review

We conducted a scoping review on psilocybin-assisted therapy for addiction, depression, anxiety and post-traumatic stress disorder. Psilocybin is a naturally-occurring tryptophan derivative found in species of mushroom with psycho-active properties. From 2022 records identified by database searching, 40 publications were included in the qualitative synthesis from which we identified 9 clinical trials with a total of 169 participants. Trials used a peak-psychedelic model of therapy, emphasizing inward journey through the use of eyeshades, set musical scores and with medium to high doses of psilocybin. No serious adverse effects were reported; mild adverse effects included transient anxiety, nausea and post-treatment headaches. Overall, the 9 trials all demonstrated safety, tolerability and preliminary efficacy in the treatments of obsessive-compulsive disorder, substance use disorder, treatment-resistant unipolar depression, anxiety or depression in patients with life-threatening cancer and demoralization among long-term AIDS survivors.The literature was found to be early and exploratory, with several limitations: only 5 were randomized controlled trials, small and homogenous patient sample size, difficulties in blinding, and the confounding influence of psychological supports provided. Further research is indicated to establish effectiveness for these and other indications, with a more diverse range of patients, and with differing program and dosing modalities. Keywords: psilocybin, psychedelic, psychedelic-assisted therapy, scoping review, depression, anxiety, obsessive-compulsive disorder, end-of-life distress, substance use disorder
Set of Approaches Based on Position Specific Scoring Matrix and Amino Acid Sequence for Primary Category Enzyme Classification

The last decade has witnessed an unprecedented accumulation of proteins in large online databases which has led to the need for automatic prediction of protein function essential for massive and timely annotations of the proteins in these datasets. Protein databases, combined with functional annotations and machine learning (ML) techniques, offer many potential benefits, including significantly facilitating rapid pharmacological target identification. The main objective of this study is to identify, for the problem of enzyme classification, the most powerful combinations of descriptors taken from different protein representations. To achieve this objective, four approaches for representing the Position-Specific Scoring Matrix (PSSM) combined with three methods for representing the Amino Acid Sequence (AAS) are evaluated with the aim of experimentally producing a powerful ensemble of descriptors for enzyme function prediction. Each protein descriptor is classified by a Support Vector Machine (SVM), with the set of SVMs finally combined by sum rule. Cross-validation experiments using these descriptors on single-functional enzymes (n=44,661) extracted from the PDB database demonstrate that the ensemble proposed here achieves superior classification rates compared to state-of-the-art ML techniques reported in the literature on the same dataset. Although the proposed ensemble strongly outperforms these other techniques, it is computationally much heavier, mainly because the PSSM extraction process is time consuming. However, there is a growing repository of proteins where PSSM has already been extracted, making the proposed method more practical and attractive. The MATLAB code and the dataset used in the experiments reported here are available at https://github.com/LorisNanni.
A Comparative Analysis of the Black-Scholes- Merton Model and the Heston Stochastic Volatility Model

This paper compares the performance of two different option pricing models, namely, the Black-Scholes-Merton (B-S-M) model and the Heston Stochastic Volatility (H-S-V) model. It is known that the most popular B-S-M Model makes the assumption that volatility of an asset is constant while the H-S-V model considers it to be random. We examine the behavior of both B-S-M and H-S-V formulae with the change of different affecting factors by graphical representations and hence assimilate them. We also compare the behavior of some of the Greeks computed by both of these models with changing stock prices and hence constitute 3D plots of these Greeks. All the numerical computations and graphical illustrations are generated by a powerful Computer Algebra System (CAS), MATLAB. GANIT J. Bangladesh Math. Soc.Vol. 39 (2019) 127-140
Does the duration of mobile phone usage affect the human auditory system? A middle latency auditory-evoked potential study in young adults

Background: Mobile phones emit microwave range of electromagnetic radiations. The human auditory cortex has a greater chance of being affected by these radiations due to the close proximity during usage. Middle latency auditory-evoked potential (MLAEP) recording helps in testing the integrity of the thalamo-cortical pathway of the human auditory system. Aims and Objectives: The aims and objectives are (1) to compare the latencies of MLAEPs in short- and long-term mobile phone users based on years of usage and (2) to compare the latencies of MLAEPs in mobile phone users grouped based on the duration of usage per day. Materials and Methods: MLAEP recording was done in 20 short- and long-term mobile users described as the history of usage of mobile phone less than and more than 1 year, respectively. Further, the group was categorized based on the duration of usage per day. Mean latencies of the MLAEP waves Na, Pa, and Nb were measured and compared statistically using Student’s t-test (two tailed, independent) and Mann–Whitney U test. Results: The mean latencies of MLAEP waveforms in both the ears were found to be significantly increased in long-term mobile phone users and in individuals who use mobile phones for more than 1 h per day. Conclusion: The study shows that long-term usage, as well as longer duration of usage of mobile phones, significantly affects the nerve conduction velocity in the thalamo-cortical region of the human auditory pathway.
Extraction of phycoerythrin from Kappaphycus alvarezii seaweed using ultrasonication

Kappaphycus alvarezii is type of red seaweed that widely cultivated in Indonesia. K. alvarezii contains phycobiliproteins mainly phycoerythrin which is commonly used as natural dyes in food and cosmetics, fluorescent, and analytical reagents. Phycoerythrin is generally extracted from red seaweed using buffer phosphate with freeze thawing process. The purpose of this study was to determine the effect of extraction time using ultrasonic waves on the characteristics of phycoerythrin. The maximum absorbance was formed at a wavelength of 499, 534, and 564 nm. Ultrasonic extraction treatment for 30 min and precipitation 60% ammonium sulfate were the best treatments, which had a pigment concentration of 1.9102 mg/mL, purity index 0.8311, and protein concentration of 0.5206 mg/mL. The antioxidant activity possessed by the phycoerythrin pigment is categorized as strong to very strong.
Longitudinal Neutron Resonance Spin Echo Spectroscopy under Large Energy Transfers

Longitudinal neutron resonance spin echo (LNRSE) spectroscopy offers very high energy resolution due to the self correction of the resonant spin flippers, and a wide dynamical range nominally exceeding six orders of magnitude in resolution down to sub-ps range. In this paper, the technical realisation how to achieve such low Fourier times at the spectrometer RESEDA at the MLZ Garching is described. The requirements of data collection and data analysis in the limit of very low Fourier times, notably those related to the breakdown of the spin echo approximation, are discussed. A method to infer the scattering function from the experimental data under large energy tansfers beyond the spin echo approximation is presented.
Comparative Analysis of On-Board Methane and Methanol Reforming Systems Combined with HT-PEM Fuel Cell and CO2 Capture/Liquefaction System for Hydrogen Fueled Ship Application

This study performs energetic and exergetic comparisons between the steam methane reforming and steam methanol reforming technologies combined with HT-PEMFC and a carbon capture/liquefaction system for use in hydrogen-fueled ships. The required space for the primary fuel and captured/liquefied CO2 and the fuel cost have also been investigated to find the more advantageous system for ship application. For the comparison, the steam methane reforming-based system fed by LNG and the steam methanol reforming-based system fed by methanol have been modeled in an Aspen HYSYS environment. All the simulations have been conducted at a fixed Wnet, electrical (475 kW) to meet the average shaft power of the reference ship. Results show that at the base condition, the energy and exergy efficiencies of the methanol-based system are 7.99% and 1.89% higher than those of the methane-based system, respectively. The cogeneration efficiency of the methane-based system is 7.13% higher than that of the methanol-based system. The comparison of space for fuel and CO2 storage reveals that the methanol-based system requires a space 1.1 times larger than that of the methane-based system for the total voyage time, although the methanol-based system has higher electrical efficiency. In addition, the methanol-based system has a fuel cost 2.2 times higher than that of the methane-based system to generate 475 kW net of electricity for the total voyage time.
Metabolite Fingerprinting Eleutherine palmifolia (L.) Merr. Using UPLC-QTOF-MS/MS

Eleutherine palmifolia (L.) Merr. (E. palmifolia) is an Indonesian native plant that has the potential to be developed into phytopharmaca. The differences in growth locations are thought to cause variation in the content of metabolite compounds which affect differences in pharmacological activity. This study aims to determine the profile of metabolites E. palmifolia bulb from several regions in Indonesia. The samples were collected from six different locations, namely East Java, Central Java, West Java, East Borneo, Central Borneo, and South Borneo. Sample extraction was carried out using Ultrasonic Assisted Extraction (UAE) method with 96% ethanol. The analysis of the content of metabolites was carried out using UPLC-QTOF-MS/MS with a stationary phase column C 18 (Okta Decyl Silica), mobile phase mixture of formic acid /water 0.1/99.9 (v/v), and formic acid/acetonitrile 0,1/99,9 (v/v). The results of the analysis were interpreted using software Masslynx and continued with chemometric analysis using the method Principle Component Analysis (PCA). The results showed that there were differences in the content of the metabolite compounds in E. palmifolia bulb originating from six different regions.
Insuffisance rénale aiguë chez les iléostomisés : revue rétrospective d'un événement significatif

Objectif : Determiner les facteurs predictifs d’insuffisance renale aigue (IRA) chez les patients porteurs d’une ileostomie a partir d’une cohorte retrospective bicentrique. Contexte : Les ileostomies sont connues pour induire des IRA et augmenter les nombre de readmissions compare aux autres populations chirurgicales mais les donnees sur les facteurs predictifs sont rares. Methodes : Un total de 919 dossiers cliniques issus de deux services hospitaliers universitaires francais ont ete revus entre 2013 et 2015. Le critere de jugement principal etait la survenue d’une IRA definie par une augmentation de la creatininemie sur une periode de 48 heures ou l’apparition d’une oligurie. Des regressions logistiques multiples ont ete realisees afin d’en identifier les facteurs predictifs independants. Resultats : 261 patients presentaient une premiere ileostomie sur la periode ; 62% etaient des hommes avec un âge median de 61 ans, 61% avaient un cancer colorectal, 20% une MICI et 10% une carcinose peritoneale ; 61% ont ete traite par une resection rectale anterieure basse, 16% par une colectomie et 17% par une resection ileo-caecale. La duree d’hospitalisation mediane etait de 11 jours. 23% des patients de la cohorte ont presente une IRA (n=61) a une mediane de 28 jours post operatoire avec une augmentation significative du nombre de readmissions (p Conclusion : Une insuffisance renale aigue apres la creation d’une ileostomie est frequente, une deshydratation et l’existence d’une demence en etant des facteurs predictifs forts. Les patients a haut risque devraient etre cibles en vue de mesures preventives d’hydratation.
Modeling the Heart and the Circulatory System

Computational simulation is increasingly recognized as an integral aspect of modern cardiovascular research. Realistic and biophysically detailed models of the cardio-circulatory system can help interpret complex experimental observations, dissect underlying mechanisms, and explain emerging organ-scale phenomena resulting from subtle changes at the tissue, cellular, and/or sub-cellular scales. This chapter provides an overview of recent advances in the simulation of cardiac electrical behavior, focusing specifically on detailed models of the initiation, perpetuation, and termination of ventricular arrhythmias, including fibrillation. The development and validation of such models has opened several noteworthy avenues of research, including close scrutiny of arrhythmia dynamics in healthy and diseased hearts, dissection of arrhythmogenic and cardioprotective properties of specialized cardiac tissue regions such as the Purkinje system, and exploration of emerging paradigms for anti-arrhythmia treatment, such as optogenetics. Excitingly, the clinical community is currently taking the first steps towards using patient-specific ventricular models to stratify arrhythmia risk, personalize treatment planning, and optimize device placement for difficult or unusual procedures.
Unravelling a Devonian–Triassic seamount chain in the South Tianshan high‐pressure/ultrahigh‐pressure accretionary complex in the Atbashi area (Kyrgyzstan)

Seamounts are common occurrences on the extant oceanic floors of the earth, and accreted single seamounts are also widely distributed on the modern active margins, but recognition of single seamounts is an uneasy job in the ancient orogens, and the detection of a chain of accreted seamounts is even harder, therefore understanding the multiple accretion of ancient seamounts is nearly negligible. A combined analysis of geochronology and geochemistry was conducted on the basic eclogitic rocks from the Atbashi Accretionary Complex in the Kyrgyz South Tianshan, in a bid to unravel the accretion process of a chain of seamounts in the Paleo‐Asian Ocean in the southern Altaids. A set of reliable U–Pb zircon ages of 397.6 ± 8 Ma age for a basaltic andesite, 353 ± 8 Ma for a gabbro, and 317.1 ± 9 Ma for a diorite were obtained in this study. Both unmetamorphosed basic rocks and eclogites carry geochemical signatures of plume‐derived seamounts that were influenced by their respective mantle source. Taken together with previously published age data, the spatial and temporal features of these Atbashi rocks indicate the timing and sequence of formation, subduction, and extrusion of the South Tianshan oceanic remnants in the Early/Middle Devonian to Late Triassic. The integrated data indicate the existence of a seamount chain composed of Early/Middle Devonian–Late Triassic seamounts in the Atbashi Complex. The paleogeographic pattern and analysis of these fragments derived from the ocean‐type seamounts enable the reconstruction of tectonic models of that portray, magmatism, mantle‐derived plumes, subduction and exhumation of this Devonian–Triassic ocean floor.
Lithium deposits from the T-10 tokamak after experiments with lithium capillary-porous system

The structure of lithium deposited specimens at the T-10 tokamak vessel after examination of lithium capillary porous system were analysed. Scanning electron microscopy have been used to analyse the deposits. Composites of lithium carbonate LixCOy have been found by analysis. Plasma irradiation of these lithium specimens have been carried out in the PLM plasma device with plasma parameters similar to the tokamak divertor plasma. Stationary plasma load up to 1 MW/m2 during 200 minutes in the PLM provided the change of surface morphology revealed by post-mortem analysis.
Video Stabilization for Camera Shoot in Mobile Devices via Inertial-Visual State Tracking

Due to the sudden movement during the camera shoot, the videos retrieved from the hand-held mobile devices often suffer from undesired frame jitters, leading to the loss of video quality. In this paper, we present a video stabilization solution in mobile devices via inertial-visual state tracking. Specifically, during the video shoot, we use the gyroscope to estimate the rotation of camera, and use the structure-from-motion among the image frames to estimate the translation of camera. We build a camera projection model by considering the rotation and translation of the camera, and the camera motion model to depict the relationship between the inertial-visual state and the camera's 3D motion. By fusing the inertial measurement (IMU)-based method and the computer vision (CV)-based method, our solution is robust to the fast movement and violent jitters, moreover, it greatly reduces the computation overhead in video stabilization. In comparison to the IMU-based solution, our solution can estimate the translation in a more accurate manner, since we use the feature point pairs in adjacent image frames, rather than the error-prone accelerometers, to estimate the translation. In comparison to the CV-based solution, our solution can estimate the translation with less number of feature point pairs, since the number of undetermined degrees of freedom in the 3D motion directly reduces from 6 to 3. We implemented a prototype system on smart glasses and smart phones, and evaluated the performance under real scenarios, i.e., the human subjects used mobile devices to shoot videos while they were walking, climbing or riding. The experiment results show that our solution achieves 32 percent better performance than the state-of-art solutions in regard to video stabilization. Moreover, the average processing time latency is 32.6ms, which is lower than the conventional inter-frame time interval, i.e., 33ms, and thus meets the real-time requirement for online processing.
Mount Rogers Combined School: The Experiences and Perspectives of Students and Staff When a Community School Closed.

The purpose of the study was to document and examine the experiences and perspectives of students and staff who were affected by the closure of Mount Rogers Combined School in 2010. Mount Rogers Combined School was established in Grayson County, Virginia, by the concerted efforts of volunteers and community members who valued education and considered schooling a top priority for the area. The original four-room school was built of rocks and housed grades 1 through 11, taught by four teachers, one of whom also served as the principal (Grayson County School Board [GCSB], 1993). In 1990, it was the smallest school in the Commonwealth of Virginia (United States Department of Agriculture, 1990). A review of early education in Virginia and early education in Grayson County is documented to place the study in historical context. A brief history of Grayson County is also included in this paper. The qualitative case study documents the experiences and perspectives of the students and staff who went through the school’s closure. Both primary and secondary sources were used to complete the study including interviews of students and staff who worked at or attended the school, reviews of official records and documents found in archives, examination of personal manuscripts, inspection of artifacts, and study of general histories. School divisions close and consolidate schools to improve instructional programs for students, offset student enrollment declines, provide adequate facilities for learning, and for economic savings. Communication, developing relationships, transportation, extracurricular activities and course offerings are variables that should be considered when planning a school closure. While transportation and changes in relationships are particular challenges, the overall benefits for former staff members include better access to more resources and professional development opportunities. Former students tend to adapt better than staff members when schools close due to more course offerings and access to a broader range of extracurricular activities. The findings are aligned with the literature that was reviewed for the study.
The use of product scarcity in marketing

Purpose As a frequently observed business phenomenon, the use of product scarcity to improve a product’s market performance has received increasing attention from both academics and practitioners. The resulting literature has covered a wide variety of issues based on various theories, using different research methods, in a diverse range of settings. However, this diversity also makes it difficult to grasp the core themes and findings, and to see the outstanding knowledge gaps. This paper aims to review previous studies on the use of product scarcity in marketing and identifies new directions for future research. Design/methodology/approach A systematic review was conducted to identify and analyse 66 research papers published in business and management journals between 1970 and 2017. Findings The authors examined the underlying theories of scarcity-based marketing, and developed a conceptual framework that describes the key factors of product scarcity and how they influence both consumers and the market. They also highlighted some key achievements in modelling the processes involved in using product scarcity in marketing. Originality/value This analysis of the identified papers suggests that there are substantial gaps in our knowledge of this field, which opens up new paths for future research. For future research, the authors identified three directions aimed at: addressing the practical needs of firms in understanding product scarcity; guiding the implementation of scarcity-based strategies; and measuring, monitoring and predicting the level of product scarcity and its impacts during implementation.
A preliminary study on primary physical educators' attitudes toward integrated physical education: Hong Kong perspectives

The aim of the survey was to examine the attitudes of general primary PE teachers toward integrated PE and the relationships of gender, teaching experience, and class size. Eighty three teachers participated in the survey. The results indicated a neutral attitude towards integrated PE by teachers. There was a significant difference between male and female teachers in their perception of whether “students with disabilities like my teaching” (p = 0.018), but no significant differences with other attitudes by gender. There was a significant difference between teachers’ teaching experiences and their perceptions of whether “Little support offered to integrated PE” (p = 0.006), however, no significant differences with other items by experience. There was also a relationship between perceived teaching competency and class size (p < 0.001, r = 0.454). The results were mainly discussed in relation to teaching competency, support, teaching experience and class size.