Miracle-dz/UniFAR-FTUs huggingface dataset:
Pharmacogenetic‐based management of depression: Role of traditional Persian medicine

Depression is one of the most common mental disorders worldwide. The genetic factors are linked to depression and anti‐depressant outcomes. Traditional Persian medicine (TPM) manuscripts have provided various anti‐depressant remedies, which may be useful in depression management. This review has studied the bioactive compounds, underlying mechanisms, and treatment outcomes of the medicinal plants traditionally mentioned effective for depression from “The storehouse of medicament” (a famous pharmacopeia of TPM) to merge those with the novel genetics science and serve new scope in depression prevention and management. This review paper has been conducted in two sections: (1) Collecting medicinal plants and their bioactive components from “The storehouse of medicament,” “Physician's Desk Reference (PDR) for Herbal Medicines,” and “Google scholar” database. (2) The critical key factors and genes in depression pathophysiology, prevention, and treatment were clarified. Subsequently, the association between bioactive components' underlying mechanism and depression treatment outcomes via considering polymorphisms in related genes was derived. Taken together, α‐Mangostin, β‐carotene, β‐pinene, apigenin, caffeic acid, catechin, chlorogenic acid, citral, ellagic acid, esculetin, ferulic acid, gallic acid, gentiopicroside, hyperoside, kaempferol, limonene, linalool, lycopene, naringin, protocatechuic acid, quercetin, resveratrol, rosmarinic acid, and umbelliferone are suitable for future pharmacogenetics‐based studies in the management of depression.
Two new sesquiterpenes from Sonchus oleraceus and inhibitory mechanism on murine haemangioendothelioma (EOMA) cell lines

Abstract Sonchus oleraceus is a kind of medicinal and edible plant which is widely distributed. In this study, two new sesquiterpenes 1 and 2 along with three known compounds 3-5 were isolated from Sonchus oleraceus by the methods of column chromatography. The structures of the two novel compounds were constructed on the basis of HR-MS and NMR spectra. Cytotoxicities of 1 and 2 were assayed on EOMA cell lines and 1 exhibited no inhibitory effect while 2 elicited moderate inhibitory effect on EOMA cells with IC50 value of 26.5 μM. Western Blot assay indicated that 2 could suppress EOMA cell proliferation by inducing apoptosis through Bax/caspase-3 pathway. Graphical Abstract
Tumor suppressor miR‐192‐5p targets TRPM7 and inhibits proliferation and invasion in cervical cancer

Cervical cancer is the fourth highest mortality cancer among women worldwide. Many researchers have discovered the major anticancer role of miR‐192‐5p. However, no study has revealed the effect of miR‐192‐5p on cervical cancer and its molecular mechanism. Therefore, in this study, we aimed to explore the role of miR‐192‐5p in proliferation, invasion of cervical cancer, and its regulatory mechanism. Firstly, the expression level of miR‐192‐5p was examined by real‐time quantitative polymerase chain reaction. Cell counting kit‐8 analysis was applied to detect the proliferation of transfected Caski and SiHa cells. Flow cytometry assay was applied to detect the apoptosis of transfected Caski and SiHa cells. Our result showed that miR‐192‐5p restrained cervical cancer cell proliferation and induced apoptosis. Then we employed wound healing and transwell assays to analyze the migration and invasion abilities of Caski and SiHa cells in vitro. The results showed that miR‐192‐5p had an inhibitory effect on cervical cancer migration and invasion. The results of in vivo experiment demonstrated that miR‐192‐5p also inhibited tumor development in nude mice. We further detected that the binding of transient receptor potential melastatin‐subfamily member 7 (TRPM7) to miR‐192‐5p using bioinformatic methods and dual‐luciferase reporter assay. Finally, we found that TRPM7 overexpression reversed the inhibitory effects of miR‐192‐5p on proliferation, migration, and invasion on cervical cancer cells. In conclusion, the findings of the present study revealed that miR‐192‐5p performs an inhibitory role in cervical cancer proliferation and invasion by targeting TRPM7.
Factors associated with hospital readmissions among patients with COVID‐19: A single‐center experience

Identify factors associated with readmission after an index hospital admission for coronavirus disease 2019 (COVID‐19) infection in a single center serving an underserved and predominantly minority population. This retrospective descriptive study included 275 patients who tested COVID‐19 positive via reverse transcriptase‐polymerase chain reaction assay at our institution and who survived the index hospitalization. The main outcomes were 1‐ and 6‐month readmission rates after an index hospitalization for COVID‐19. The mortality rate among the readmitted patients was also determined. Factors independently associated with readmission were investigated using multivariable logistic regression. A final sample of 275 patients was included. The mean age was 64.69 ± 14.64 (SD), 133 (48%) were female and 194 (70%) were African American. Their chronic medical conditions included hypertension 203 (74%) and diabetes mellitus 121 (44%). After the hospitalization, 1‐month readmission rate was 7.6%, while 6‐month readmission rate was 24%. Nine percent of patients who were readmitted subsequently died. Coronary artery disease (CAD) was significantly associated with 6‐month readmission odds ratio (OR), 2.15 (95% confidence interval [CI]: 1.04–4.44; p = 0.039) after adjustment for age, gender, ethnicity, and comorbidities. Readmissions were due to cardiac, respiratory, and musculoskeletal symptoms. Hispanic ethnicity was associated with increased readmission OR, 3.16 (95% CI: 1.01–9.88; p = 0.048). No significant difference was found between inflammatory markers or clinical outcomes during the index hospitalization among patients who were readmitted compared to those who were not. A significant number of patients hospitalized for COVID‐19 may be readmitted. The presence of CAD is independently associated with high rates of 6‐month readmission.
Does the COVID‐19 seroconversion in older adults resemble the young?

High antibody titers have been found to correlate with the severity of coronavirus disease 2019 (COVID‐19) disease. Therefore, antibody titers may be higher in older adults, whose disease is known to have a more severe course than younger ones. This study aimed to compare the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) immunoglobulin G (IgG) antibody level in the reverse transcription‐polymerase chain reaction (RT‐PCR) to test positive older adults with young. Patients aged ≥18 with positive RT‐PCR and checked serum IgG antibodies between November 1, 2020 and January 13, 2021 were included. The IgG antibody levels and the time between RT‐PCR positivity with the antibody levels were recorded. A total of 1071 patients were divided into two groups as Group 1 <60 years old (n = 902) and Group 2 ≥60 years old (n = 169). The SARS‐CoV‐2 IgG antibody titers were higher in Group 2 (p = 0.001). This height was present in the first 3 months after positive RT‐PCR. While the antibody titers were compared by dividing Group 2 into the three groups according to age ranges (60–69, 70–79, and ≥80 years), the antibody titer was higher in ≥80 years patients (p = 0.044). High COVID‐19 IgG antibody levels may be associated with the severity of the disease. Also, the humoral immunity advantage was seen in the first 3 months in the older patients, which suggests that older adults with COVID‐19 may develop reinfection in the long term.
The relationship between working alliance with peer mentors and eating psychopathology in a digital 6‐week guided self‐help intervention for anorexia nervosa

Abstract Objective The quality of working alliance (WA) is associated with treatment outcomes across several types of psychiatric disorders and psychological interventions. This study examined the role of WA with peer mentors (people with lived experience of illness) and student mentors (graduated psychology students) in a 6‐week, digital, guided self‐help (GSH) intervention for anorexia nervosa. Method Ninety‐nine patients rated weekly, for 6 weeks: (a) eating psychopathology using the short version of the Eating Disorder Examination Questionnaire (EDE‐QS) and (b) WA with a student mentor (n = 14) or a peer mentor (n = 10). WA was assessed by asking patients the extent to which they felt comfortable working with their mentor and the extent to which they agreed with them on the goals for support. WA with mentors and the association with eating psychopathology change were measured on a session‐by‐session basis. The analysis involved a random intercepts cross‐lagged panel model. Results WA with peer mentors was slightly higher than WA with students (ES = 0.3). Peer mentors' WA in the previous session was significantly associated with eating psychopathology ratings in the next session. No significant relationship was found between the previous session's EDE‐QS scores and peer mentor alliance in the following session. In the student mentor group, there were no session‐by‐session associations between WA and eating psychopathology. However, greater WA with the student mentor across sessions was associated with less eating psychopathology. Discussion These findings suggest that clinical outcomes are in part associated with the characteristics of the mentor delivering guidance in an online GSH for eating disorders.
[Post-COVID-19 syndrome: epidemiology, diagnostic criteria and pathogenic mechanisms involved].

INTRODUCTION Many patients with mild or severe COVID-19 do not make a full recovery and have a wide range of chronic symptoms for weeks or months after infection, often of a neurological, cognitive or psychiatric nature. The epidemiological evidence, diagnostic criteria and pathogenesis of post-COVID-19 syndrome are reviewed. DEVELOPMENT Post-COVID-19 syndrome is defined by persistent clinical signs and symptoms that appear while or after suffering COVID-19, persist for more than 12 weeks and cannot be explained by an alternative diagnosis. The symptoms can fluctuate or cause relapses. It is a heterogeneous condition that includes post-viral chronic fatigue syndrome, sequelae in multiple organs and the effects of severe hospitalisation/post-intensive care syndrome. It has been reported in patients with mild or severe COVID-19 and irrespective of the severity of the symptoms in the acute phase. Between 10% and 65% of survivors who had mild/moderate COVID-19 present symptoms of post-COVID-19 syndrome for 12 weeks or more. At six months, subjects report an average of 14 persistent symptoms. The most common symptoms are fatigue, dyspnoea, anxiety, depression, and impaired attention, concentration, memory and sleep. The underlying biological mechanisms are unknown, although an abnormal or excessive autoimmune and inflammatory response may play an important role. CONCLUSIONS Clinical manifestations are diverse, fluctuating and variable, although fatigue and neurocognitive complaints predominate. There is no defined consensus on post-COVID-19 syndrome and its diagnostic criteria have not been subjected to adequate psychometric evaluation.
From UML Modeling to UPPAAL Model checking of 5G Dynamic Service Orchestration

The new 5G technology has the ability to create logical communication networks, called network slices, which are specifically carved to serve particular application domains. Due to the mix of applications criticality, it becomes crucial to verify if the applications’ service level agreements are met, especially for the mission-critical scenarios, before the system is up and running. In this paper, we propose a novel framework for modeling and verifying 5G orchestration of dynamic services, which considers simultaneous access of network slices, admission of new requests to slices, virtual network function scheduling, and routing. Due to the dynamic nature of the problem such verification becomes a challenging issue. By combining the benefits of modeling in user-friendly UML, with model checking using UPPAAL, our framework helps to address the issue by enabling both modeling and formal verification at design stage. We demonstrate our approach on a case study that involves: (i) a mission-critical 5G-assisted robot surgery e-health application, accomplished by using a health slice that is simultaneously accessed by various health professionals using a 5G-enabled camera, and (ii) a less critical video streaming application using a video slice, accessed via various 5G-enabled mobile phones, within the same area as the robotic application. By employing our approach, one can verify that the critical health application meets its timeliness requirements, but also that all slices are eventually served in the system.
The Determination of the Solubility of Amorphous UO 2 (Sn and the Mononuclear Hydrolysis Constants of Uranium(IV) at 25° C.

We have measured the solubility 8f amorphous UO 2 in a wide pH range (2 to 10.5), in 0.5 M NaClO, at T=25 C. The species responsible for the solubility are U(OH) + and U'0H)h, with the stability constants lo:1,3=-1.1± 0.1 and log, 4 =- 5. 4_. O. 2, respectively. No evidence for U(OH) is f6und up to pH=10.5. The same model explains satisfactorily the solubility data obtained by Parks and Pohl(5) at T=100 0 C. , in the pH range 1 to 10. The measured solubility of amorphous UO 2 (s) in the pH_ýange 6 to 10.5, under reducing conditions, is rather high,. U(IV) =5 10 mols/l. This is in good agreement with previous data of Gayer and Leider(6) and Galkin and Stepanov(9).
Patterns of co‐occurrence and body size in dragonflies and damselflies (Insecta: Odonata) in preserved and altered Amazonian streams

Interspecific interactions, such as competition, are among the key factors that determine the distribution, abundance and diversity of organisms in natural communities of aquatic ecosystems. However, a marked reduction in the environmental integrity of streams may lead to modifications of the natural dynamics of these communities, including co‐occurrence patterns and body size. In the Amazon, the replacement of forests by production systems is one of the leading causes of alterations to riverine ecosystem. The insects of the order Odonata (dragonflies and damselflies) are predators known to compete for environmental resources but are also sensitive to environmental changes such as those caused by shifts in land use. In this scenario, the present study evaluated species co‐occurrence and body size patterns in adult odonates found at preserved and altered Amazonian streams, to determine whether there are morphological differences among the species that enable their coexistence. During the study, 98 streams in the eastern Amazon region were sampled, and a habitat integrity index (HII) was used to evaluate the integrity of each stream (based on variables such as the condition of the riparian vegetation and channel, and land use). Ten male individuals were selected from each species, and nine morphometric measurements were taken from each individual. A total of 3588 specimens were collected and distributed in nine families, 49 genera and 134 species. We found a non‐random pattern of co‐occurrence in the species of the odonate suborder Zygoptera and a random pattern in the suborder Anisoptera, in both preserved and altered streams. We found morphological divergence between pairs of zygopteran species, in the whole sample and both categories of stream integrity separately. No such morphological divergence was found in the pairs of anisopteran species. The distribution patterns of odonate species are limited by specific environmental processes, especially in preserved environments and in specialists, such as most zygopterans. Zygopteran species have more specific microhabitat requirements, which could explain this pattern, whereas anisopterans prefer open environments, which usually have a greater supply of resources, although there tends to be less microhabitat heterogeneity, which leads to reduced competition. Given this, future studies should use limiting similarity (e.g. morphological attributes) in addition to environmental and spatial factors to better understand the factors structuring these communities. Among these mechanisms, the effects of common ancestry (phylogenetic inertia) and biogeography are important factors that should also be considered in future studies.
Molecular scattering and fluorescence in strongly confined optical fields: spectroscopy, sensing and signal processing

Common treatments of light-matter interaction in free space consider an electromagnetic beam homogeneous over a transverse area A and use the concept of a cross section σ to arrive at the probability σ/A for coupling light with a quantum emitter, like an atom or a molecule. In conventional spectroscopy experiments this ratio is very small and a single emitter is expected to have a weak effect on the light incident on it. However, recent experiments have shown that extinctions up to 12% can be attained in free space simply by focusing light or using small apertures. A fundamental question is how close these values are to the theoretical limits. We investigate the interaction of a single oscillating dipole with tightly confined optical fields and demonstrate that light can be perfectly reflected under appropriate conditions. In particular, we find that a focused plane wave can be extinguished up to 85%. We also discuss possibilities for modifying light-matter interaction using concepts from surface-enhanced spectroscopy. Recent progress in nanotechnology has enabled us to fabricate nanoscale systems that could function as antennas for enhancing the excitation and emission of optical energy by atoms and molecules. We discuss the main features of an optical antenna and show how they can improve the coupling and the radiation properties of molecules. In particular, we present realistic designs that increase fluorescence by more than three orders of magnitude in the ultraviolet up to the near-infrared spectral range. An important point of concern is whether one could transfer the designs found in many electrical engineering textbooks into the optical domain to control lightmatter interaction at the nanometer scale. Moreover, since metals exhibit absorption losses at optical frequencies, it is not obvious that antennas are suitable for light management at the single-photon level and that they achieve performances comparable to those of optical resonators. These concerns go beyond the scope of field-enhanced spectroscopy and sensing, and take us to the ultimate limits of information processing.
Effectiveness of BNT162b2 and mRNA-1273 covid-19 vaccines against symptomatic SARS-CoV-2 infection and severe covid-19 outcomes in Ontario, Canada: test negative design study

Abstract Objective To estimate the effectiveness of mRNA covid-19 vaccines against symptomatic infection and severe outcomes (hospital admission or death). Design Test negative design study. Setting Ontario, Canada between 14 December 2020 and 19 April 2021. Participants 324 033 community dwelling people aged ≥16 years who had symptoms of covid-19 and were tested for SARS-CoV-2. Interventions BNT162b2 (Pfizer-BioNTech) or mRNA-1273 (Moderna) vaccine. Main outcome measures Laboratory confirmed SARS-CoV-2 by reverse transcription polymerase chain reaction (RT-PCR) and hospital admissions and deaths associated with SARS-CoV-2 infection. Multivariable logistic regression was adjusted for personal and clinical characteristics associated with SARS-CoV-2 and vaccine receipt to estimate vaccine effectiveness against symptomatic infection and severe outcomes. Results Of 324 033 people with symptoms, 53 270 (16.4%) were positive for SARS-CoV-2 and 21 272 (6.6%) received at least one dose of vaccine. Among participants who tested positive, 2479 (4.7%) were admitted to hospital or died. Vaccine effectiveness against symptomatic infection observed ≥14 days after one dose was 60% (95% confidence interval 57% to 64%), increasing from 48% (41% to 54%) at 14-20 days after one dose to 71% (63% to 78%) at 35-41 days. Vaccine effectiveness observed ≥7 days after two doses was 91% (89% to 93%). Vaccine effectiveness against hospital admission or death observed ≥14 days after one dose was 70% (60% to 77%), increasing from 62% (44% to 75%) at 14-20 days to 91% (73% to 97%) at ≥35 days, whereas vaccine effectiveness observed ≥7 days after two doses was 98% (88% to 100%). For adults aged ≥70 years, vaccine effectiveness estimates were observed to be lower for intervals shortly after one dose but were comparable to those for younger people for all intervals after 28 days. After two doses, high vaccine effectiveness was observed against variants with the E484K mutation. Conclusions Two doses of mRNA covid-19 vaccines were observed to be highly effective against symptomatic infection and severe outcomes. Vaccine effectiveness of one dose was observed to be lower, particularly for older adults shortly after the first dose.
Phase transition properties of ferroelectric and antiferroelectric liquid crystals

ABSTRACT Thermodynamic models based on the Landau free-energy density are popular and well suited to study the phase transition properties of ferroelectric and antiferroelectric liquid crystals. Ferroelectric and antiferroelectric liquid crystals have molecular chirality which play an important role in the technology of liquid crystals for the application of devices performance. The structural properties of ferroelectric phase transitions which give rise to the macroscopic tensors coupled to the macroscopic fields, the parameters describing the antiferroelectric phase transitions are still under investigation due to the lack of precise symmetrical properties characterising their existence. The study of ferroelectric and antiferroelectric liquid crystals has been substantial experimental strides. In theoretical approach, there has been relatively inappreciable work on this fascinating class of material. The present review paper focused on a comprehensive overview of the current scenario of the phase transition properties of ferroelectric and antiferroelectric liquid crystals for the fundamental and technological applications. The Landau Ginzburg theory of the phase transitions between ferroelectric and antiferroelectric liquid mesophases is investigated. The important experimental and theoretical developments of ferroelectric and antiferroelectric mesogens are also summarised.
Ions substitution effect on the magnetic phase transition temperature of 0.5BiFeO3-0.5Pb1-xSrxTiO3 multiferroic solid solutions

Abstract 0.5BiFeO3-0.5Pb1-xSrxTiO3 (0 ≤ x ≤ 1) solid solution compositions were synthesized using solid phase reactions route from high-purity oxides. Mössbauer studies showed that for 0.5BiFeO3-0.5PbTiO3 (x = 0) the magnetic phase transition temperature T M value was about 130 K. Substitution of Sr for Pb led to a dramatic decrease in T M, though the Fe content did not change with x and for 0.5BiFeO3-0.5SrTiO3 (x = 1) T M was only ≈20 K. This dramatic difference in T M values seems to be due to additional contribution of the magnetic superexchange between Fe3+ ions via the empty 6p states of Bi3+ and Pb2+ ions to the overall superexchange.