bluuebunny/crossref_metadata_2025_split huggingface dataset:
Growth, mortality and stock status of five fin fish species from a tropical estuary Snigdhodeb Dutta Department of Industrial Fisheries, CUSAT, Kerala –682022
Authors: Dutta Snigdhodeb 
Published: April 2022

Abstract

Data from Cochin Estuary for five fin fish species were collected from January to December 2019. This study provides the first results on fishery dynamics of the species in this estuary and is aimed at estimating important population dynamic parameters and assessing the stock of this economically important fish species by the help of length frequency data collected. FiSAT II software was used for different analyses. The asymptotic length (L∞) and growth constant (K) of C.chanos were 421.05 mm and 0.71 year− 1, whereas for D.insidiator the asymptotic length (L∞) and growth constant (K) were 110.25 mm and 0.81 year− 1. The age at zero length (t0) was calculated for all examined species, ranged from − 0.07 to -0.19. The longevity (tmax) and growth performance index (ϕ) of P.planiceps were reported as 7.31 years and 4.81 whereas for M.cephalus were 2.14 and 4.6 respectively. The estimated total mortality (Z), natural mortality (M) and fishing mortality (F) of C.praesteus were 4.04, 1.37 and 2.67 year − 1, respectively, contrarily, for P.planiceps those values were 0.89, 0.49 and 0.4. The relative yield per recruit (Y/R) analysis revealed that the current exploration level is higher than the optimum exploitation rate, indicating an overexploitation of all examined fin fish species. Accordingly, needed management measures should include restrictions on fishing gear mesh sizes, reduced fishing effort and declaration of closed seasons and sanctuaries to protect these species from extinction.
Formulation and Repurposing of Mefloquine loaded Nanoemulsion against A549 -Lung carcinoma cells with the comparison on HaCaT cells
Authors: MOHAPATRA PRIYADARSHINI , Mukherjee Amitava , Chandrasekaran Natarajan 
Published: April 2022

Abstract
Combining multiple anticancer agents in a nanocarrier can result in a formula with a low dose and few undesirable side effects.The purpose of the study was to formulate Garlic oil-loaded Mefloquine and Tamoxifen (TQ) in an oil-based nanoemulsion and evaluate its potential for inhibiting growth of lung cancer cells and normal skin cells.The antimalarial drug Mefloquine was repurposed using garlic oil nanoemulsion, which demonstrated better anti-cancer effects against A549 cell lines than Tamoxifen loaded nanoemulsion. The Mefloquine-loaded garlic nanoemulsion significantly reduced cell viability and promoted apoptosis in A549 cells in cytotoxic experiments. Physicochemical characterization, drug release tests, and cytotoxic studies were used to compare the drug-loaded nano emulsions. Mefloquine indicated less variance in hydrodynamic size, with a value of 1.01 ±0.13nm, than Tamoxifen-loaded nanoemulsion. Mefloquine loaded nanoemulsion showed better-sustained release, lower coarsening and constant colour stability. n simulated intestinal fluid, the drug release study of Mefloquine loaded nanoemulsion is 53.5% at 12 hours and Tamoxifen loaded nanoemulsion is 26.3 % at 8 hours (SIF). The percentage of cell viability of Mefloquine loaded Garlic oil nanoemulsion and Tamoxifen loaded Garlic oil nanoemulsion against lung cancer cells was 75.65 % and 64.35 %, respectively (A549). In normal cells, the cell viability of Mefloquine loaded Garlic oil nanoemulsion was lower than that of Tamoxifen loaded Garlic oil nanoemulsion. The findings imply that the Mefloquine-loaded Garlic oil nanoemulsion could be used as a nanotherapeutic carrier to target cancer cell without hampering the normal cells.
Comparison between Three Cannulated Screws and Targon Locking Plate for Displaced Intracapsular Hip Fracture: A Retrospective Study
Authors: Hou Xiuxiu , Shi Guojun , Zhang Yadi , Xing Baorui , Xu Dingli 
Published: April 2022

Abstract
Purpose: The aim of this retrospective study was to compare the clinical and radiological outcomes between three cannulated screws (TCS) and two cannulated screws combined one fully threaded cannulated screw with TARGON locking plate (TCS-TLP) for the displaced intracapsular hip fracture.Methods: 75 patients underwent displaced intracapsular hip fracture were treated with operation from January 2013 to January 2019. 35 patients underwent TCS-TLP and others 40 patients treated with TCS. Injuries were assessed based on AO classification, and the outcomes measurements including modified Harris hip score (MHHS), visual analogue score (VAS) and the radiological data.Results: There were significantly better MHHS improvement in the TCS-TLP group than TCS group at the 12 months (85.6 VS 75.6, P<0.05) and 24 months (89.4 VS 81.1, P<0.05). And a total of 5 patients had complications in TCS-TLP group whilst 14 cases in the TCS group (P<0.05), similarly, the femoral neck shorten rate was significantly less in the TCS-TLP group at each follow-up visit (P<0.05).Conclusion: Patients treated with two cannulated screws combined one fully threaded cannulated screw with Targon locking plate can have better function improvement, less orthopedic complications and prevent femoral neck shorting.
Novel KMT2B Gene Mutation in MUC4 Positive Low-grade Fibromyxoid Sarcoma
Authors: Zhang Liying , Luo Luqiao , Liu Chao , Li Zhi 
Published: April 2022

Abstract
BackgroundLow-grade Fibromyxoid Sarcoma(LGFM)is a rare fibrosarcoma, which mainly occurs in young people and is mostly seen in the trunk and limbs. The tumor is usually FUS-CREB3L2 fusion caused by t(7;16)(q32-34;p11)chromosome translocation, and rarely FUS-CREB3L1and EWSR1-CREB3L1 fusion. MUC4 diffuse strong positive can be used as a specific index of LGFM. LGFM is similar to Sclerosing Epithelioid Fibrosarcoma(SEF)and may have the same origin. Case presentationWe report a case of LGFM in the chest wall. A female which is 59 years old. In 2016, CT showed dense nodule shadow and focal thickening of the left pleura, the patient underwent surgery, Pathological report: low to moderate malignant fibrosarcoma (fibromyxoid type). The CT re-examination in 2021 showed that the tumors on the left chest wall were significantly larger than before. Pathological examination showed the disease is composed of alternating collagen like and mucinous areas. Under high-power microscope, the tumor cells are consistent in shape, spindle or short spindle, and the tumor cells are arranged in bundles. In local areas, the density of tumor cells is significantly increased, mixed with collagen fibers, and small focal sclerosing epithelioid fibrosarcoma(SEF)appear. The result of immunohistochemistry showed that SMA, Desmin, CD34, STAT6, S100, SOX10, HMB45 and Melan A were negative, EMA was weakly positive, MUC4 was diffuse and strongly positive, and Ki67 index was low (3%). ConclusionSequencing results showed that MET, EGFR, KMT2B and RET gene were mutated in LGFM, and KMT2B gene had cancer promoting effect, but there was no literature report in LGFM, which may be of certain significance for the diagnosis and treatment of LGFM.
Ursolic Acid Suppresses Proliferation and Elicits Apoptosis of Laryngeal Carcinoma Cell HEp-2 through Activation of ROS Synthesis and Inhibition of Multiple Signaling Pathways
Authors: Wei Shuya , Zheng Nan 
Published: April 2022

Abstract
Laryngeal squamous cell carcinoma is one of the most common cancer-related causes of death worldwide. Thus, there is a constant need for improvement in drug development to promote treatment of this malignancy. In the present study, we identified a natural phytochemical, Ursolic acid, as a potent compound to counter laryngeal squamous cell carcinoma using HEp-2 cell line. Ursolic acid is capable of impeding proliferation and provoking apoptosis of HEp-2 cells. Interestingly, these anti-proliferative and proapoptotic effects is attributed to stimulation of ROS synthesis. In addition, we discovered that this UA-induced ROS stimulation is linked to the activation of MAPKs, PI3K/Akt, NF-κB and STAT3 signaling pathways. Our study characterized Ursolic acid as a potent anti-carcinoma drug with a multitargeting strategy, which enable it a novel and plausible treatment to laryngeal squamous cell carcinoma.
Structure-Based Virtual Screening, Molecular Docking, Molecular Dynamics Simulation of EGFR for the clinical treatment of Glioblastoma
Authors: Pande Aditi , Abdalla Mohnad , Madhavi Maddala , Chopra Ishita , Bhrdwaj Anushka , Soni Lovely , Vijayakumar Natchimuthu , Panwar Umesh , Khan Mohd. Aqueel , Prajapati Leena , Gujrati Deepika , Belapurkar Pranoti , Albogami Sarah , Hussain Tajamul , Selvaraj Chandrabose , Nayarisseri Anuraj , Singh Sanjeev Kumar 
Published: April 2022

Abstract
Glioblastoma (GBM) is a WHO Grade IV tumor with poor visibility, a high risk of comorbidity, and limited treatment options. Resurfacing from second-rate glioma was originally classified as either mandatory or optional. Recent interest in personalized medicine has motivated research toward biomarker stratification-based individualized illness therapy. GBM biomarkers have been investigated for their potential utility in prognostic stratification, driving the development of targeted therapy, and customizing therapeutic treatment. Due to the availability of a specific EGFRvIII mutational variation with a clear function in glioma-genesis, recent research suggests that EGFR has the potential to be a prognostic factor in GBM, while others have shown no clinical link between EGFR and survival. The pre-existing pharmaceutical lapatinib (PubChem ID: 208908) with a higher affinity score is used for Structure-based Virtual Screening. As a result, the current study revealed a newly screened chemical (PubChem CID: 59671768) with a higher affinity than the previously known molecule. When the two compounds are compared, the former has the lowest re-rank score. The time-resolved features of a virtually screened chemical and an established compound were investigated using Molecular Dynamics Simulation. Both compounds are equivalent, according to the ADMET study. This report implies that the virtual screened chemical could be a promising Glioblastoma therapy.
Origin of Probability in Quantum Mechanics and the Physical Interpretation of the Wave Function
Authors: Wen Shuming 
Published: April 2022

Abstract
The theoretical results of quantum mechanics (QM) have been verified by experiments, but the probabilistic Copenhagen interpretation is still controversial, and many counterintuitive phenomena are still difficult to understand. To trace the origin of probability in QM, we construct the superimposed amplitudes of a space-time position in a multiparticle quantum objective system and find that the probability in QM originates from the particle number distribution rate in a unit volume near position r at time t in the multiparticle quantum objective system. Based on the origin of probability, We find that the state function of an elementary particle (hereinafter called particle for short) has precise physical meaning; that is, the particle periodically and alternately exhibits the particle state and wave state in time and space, obtain the localized and nonlocalized spatiotemporal range of the particle, the apparent trajectory of the particle motion. Based on this, through rigorous mathematical derivation and analysis, we propose new physical interpretations of the quantum superposition state, wave-particle duality, the double-slit experiment, the Heisenberg uncertainty principle, and the quantum tunnelling effect, and these interpretations are physically logical and not counterintuitive.
Cardiac arrhythmias in patients with bronchial asthma
Authors: Uryasev O. M. , Shakhanov A. V. , Sudakova I. Yu. , Korshunova L. V. , Sidorova V. P. 
Published: April 2022

Introduction. According to modern data, bronchial asthma (BA) is an independent risk factor for the development of cardiac arrhythmias (CA), and the use of long-acting β2-agonists (LABA) in basic therapy may further increase the risks of CA.Aim. To study the structure and risk factors of cardiac arrhythmias in patients with bronchial asthma. Materials and methods. A retrospective study included 181 patients aged 69.4 ± 0.8 years, hospitalized for asthma, with the presence a CA in medical documentation.Results. Among BA patients with CA, supraventricular CA were found in 71.3% (129) patients, ventricular CA in 16.6% (30), combined CA in 12.2% (22). In 52.5% (95) patients, supraventricular extrasystole was detected, in 35.9% (65) – atrial fibrillation, in 28.7% (52) – ventricular extrasystole, in 1.1% (2) – paroxysmal supraventricular tachycardia, in 0.6% (1) – paroxysmal ventricular tachycardia. It was found that supraventricular CA was significantly more frequent among women (χ2 = 5.974, p = 0.05). The severity of BA and the level of control are not related to the type of observed CA (χ2 = 0.755, p = 0.685 and χ2 = 3.003, p = 0.557, respectively).Discussion. The use of a combination of ICS and LABA in basic BA therapy versus the use of ICS alone does not have a significant effect on the frequency and structure of cardiac arrhythmias (χ2 = 1.172, p = 0.556).Conclusion. In hospitalized BA patients, supraventricular cardiac arrhythmias are most often detected, among which supraventricular extrasystole and atrial fibrillation take the main place.
Possibilities of information systems for prediction of outcomes of new coronavirus infection COVID-19
Authors: Demko I. V. , Korchagin E. E. , Cherkashin O. A. , Gordeeva N. V. , Anikin D. A. , Anikina D. A. 
Published: April 2022

The pandemic of coronavirus infection COVID-19 (Coronavirus Disease 2019), caused by a new strain of coronavirus SARSCoV-2 (severe acute respiratory syndrome coronavirus 2), has caused high mortality worldwide. The clinical manifestations of COVID-19 are nonspecific. Diagnostics includes clinical, laboratory and radiological data. The importance of introducing information systems into medical practice in order to improve the quality of medical care is noted. It is stated that the development of medical artificial intelligence is associated with the development of artificial intelligence programs designed to help the clinic in making a diagnosis, prescribing treatment, as well as predicting the outcome of the disease. Such systems include artificial neural networks, fuzzy expert systems, and hybrid intelligent systems. The article analyzes data from a number of studies on the use of artificial intelligence for diagnosing COVID-19, predicting the risk of mortality and studying risk factors for severe course and lethal outcome in various groups. Using clusters of predictors, models have been developed to predict mortality and understand the relationship of various characteristics and diseases with mortality from COVID-19. The article also summarizes the key factors that worsen the prognosis for COVID-19. Scales for detecting or predicting the development of COVID-19-induced “cytokine storm” are marked as a separate item.
Astenic syndrome in you students with different online-behaviors during the pandemic of new coronavirus infection COVID-19
Authors: Evert L. S. , Grishkevich N. Yu. , Kostyuchenko Yu. R. , Seren-ool S. S. , Bakhshieva S. A. 
Published: April 2022

Introduction. An urgent problem in many countries of the world is the growth of comorbid diseases and conditions associated with the pathological use of the Internet, including functional somatic disorders, which include asthenic syndrome.Purpose of the study. To study the frequency of occurrence of asthenic syndrome schoolchildren with different online behavior during the coronavirus pandemic.Materials and methods. The method of random sampling was used to examine 1 148 adolescents at the age of 11–18 years, of which 535 (46.6%) were boys and 613 (53.4%) were girls. The frequency of occurrence was analyzed in the entire sample of the surveyed, as well as in the comparison groups, formed by gender: 1 gr. – boys (n = 535), 2 gr. – girls (n = 613), age: 1 gr. – 11–14 years old (m + d) (n = 837) and 2 gr. – 15–18 years old (m + d) (n = 311), type of online behavior: 1 gr. – with adaptive use of the Internet, 2 gr. – with maladaptive internet use, 3 gr. – with pathological use of the Internet and type of Internet addiction.Results. The frequency of adaptive use of the Internet was 37.0%, with maladaptive – 49.9% and with pathological – 13.1% of the total sample of the surveyed. The content structure of the online behavior of Tuvan schoolchildren includes the presence of a game Internet addiction in 4.4% of the surveyed, dependence on social networks – in 12.5%, mixed IА – in 2.4% and undifferentiated IА – in 5.0%. The frequency of asthenic syndrome is 12.2% of all surveyed.Conclusion. A more pronounced association of asthenic syndrome in schoolchildren with maladaptive online behavior indicates the negative impact of the computer and the Internet on the body and justifies the need for a personalized approach to these contingents.
Bedaquiline in the treatment of extensively drugresistant tuberculosis
Authors: Morozova T. I. , Doktorova N. P. , Otpushchennikova O. N. , Nikolenko N. Yu. 
Published: April 2022

Introduction. Extensive drug resistance (XDR) M. Tuberculosis (MBT) is considered the main factor that reduces the effectiveness of the treatment of TB patients around the world, including Russia. A significant role in improving the effectiveness of chemotherapy (CT) in people with resistant TB belongs to the introduction of new anti-TB drugs, the first of which was bedaquiline (LP-002281).Objective. To assess the profile of an XDR-TB patient receiving bedaquiline and the efficacy of chemotherapy regimens including bedaquiline in patients with XDR pulmonary tuberculosis.Materials and methods. The study is retrospective, non-comparative, descriptive. The data of 88 patients who received bedaquiline in the XDR-TB treatment regimen in anti-tuberculosis institutions of the Saratov region in 2017–2018.Results. Patients with chronic TB prevailed – 50/88 [56.8%, 95% CI 46.3–67.4], every fourth patient had a history of surgery. The cessation of bacterial excretion, confirmed by bacterioscopy, was achieved in 51/67 [76.1%, 95% CI 65.7–86.5] patients; by cultural method – in 47/67 [70,1%, 95% CI 59.0–81.3]. Negative sputum smear in a significant proportion of patients 43/51 [84.3%, 95% CI 52.4–75.9] was observed after 12 weeks of therapy, negative cultures in 36/47 [76.6%, 95% CI 41.6–65.9] – after 16 weeks.Discussion. Compared to individual patient analyzes – 43% success rate in the treatment of XDR-TB, in our cohort of XDR-TB patients treated with bedaquiline, the success rate was 53.4%, which is consistent with data from a large study describing the safety in 2017, tolerability and efficacy of bedaquiline and could be higher in the absence of “discontinuations from treatment”.Conclusion. The regimens of treatment of patients with XDR-tuberculosis with the inclusion of bedaquiline are effective in terms of the termination of bacterial excretion, confirmed by bacterioscopy and culture in patients with a complex course of a specific process with previous ineffective therapy.
Smartphone Apps for Diabetes Medication Adherence: Systematic Review
Authors: Islam Sheikh Mohammed Shariful , Mishra Vinaytosh , Siddiqui Muhammad Umer , Moses Jeban Chandir , Adibi Sasan , Nguyen Lemai , Wickramasinghe Nilmini 
Published: April 2022

Background
Diabetes is one of the leading noncommunicable chronic diseases globally. In people with diabetes, blood glucose levels need to be monitored regularly and managed adequately through healthy lifestyles and medications. However, various factors contribute to poor medication adherence. Smartphone apps can improve medication adherence in people with diabetes, but it is not clear which app features are most beneficial.

Objective
This study aims to systematically review and evaluate high-quality apps for diabetes medication adherence, which are freely available to the public in Android and Apple app stores and present the technical features of the apps.

Methods
We systematically searched Apple App Store and Google Play for apps that assist in diabetes medication adherence, using predefined selection criteria. We assessed apps using the Mobile App Rating Scale (MARS) and calculated the mean app-specific score (MASS) by taking the average of app-specific scores on 6 dimensions, namely, awareness, knowledge, attitudes, intention to change, help-seeking, and behavior change rated on a 5-point scale (1=strongly disagree and 5=strongly agree). We used the mean of the app’s performance on these 6 dimensions to calculate the MASS. Apps that achieved a total MASS mean quality score greater than 4 out of 5 were considered to be of high quality in our study. We formulated a task-technology fit matrix to evaluate the apps for diabetes medication adherence.

Results
We identified 8 high-quality apps (MASS score≥4) and presented the findings under 3 main categories: characteristics of the included apps, app features, and diabetes medication adherence. Our framework to evaluate smartphone apps in promoting diabetes medication adherence considered physiological factors influencing diabetes and app features. On evaluation, we observed that 25% of the apps promoted high adherence and another 25% of the apps promoted moderate adherence. Finally, we found that 50% of the apps provided low adherence to diabetes medication.

Conclusions
Our findings show that almost half of the high-quality apps publicly available for free did not achieve high to moderate medication adherence. Our framework could have positive implications for the future design and development of apps for patients with diabetes. Additionally, apps need to be evaluated using a standardized framework, and only those promoting higher medication adherence should be prescribed for better health outcomes.