bluuebunny/crossref_metadata_2025_split huggingface dataset:
Management model of caregiver’s grief in a tertiary oncological center Hospice: from anticipatory mourning to condolence conversation: preliminary observations
Authors: Gallio Ivan , Lorusso Marina , Moscato Matilde , Miranti Chiara , Pasalic Mirsad , Formaglio Fabio , Feltrin Alessandra , Ruggiero Elena 
Published: February 2024

Abstract

Background
Bereavement is a physiological process of great importance in palliative care; grief-processing disorders can be diagnosed after at least 6 months after death and have severe clinical or psychological consequences. Aim of the study is to verify how adequate management of anticipatory mourning and condolence conversation in the early grief stages can be protective.
Methods
Patients and caregivers are supported by the multidisciplinary team by semi structured interviews. In condolence conversation within 1 month of the death, we identify elements of suspicion of psychological fragility that require support for an adequate processing of the loss.
Results
From condolence conversation, only 3% of the caregivers who had been psychologically supported during the hospital stay and demonstrated a good level of acceptance of their relative's end of life, showed problems in grieving within 1 month of death; none showed excessive avoidance of memories, difficulties with trust and feelings of emotional loneliness.
Conclusions
Despite the limitations, the preliminary data of our study clearly suggests the protective potential of multidisciplinary support, particularly in the risk of developing grief processing disorders. These considerations encourage us to implement our model of clinical and psychological support system and develop paths dedicated to caregivers in greater difficulty.
Can the public debt of African countries be mitigated by migrant remittances?
Authors: AVOM Désiré , ONGO Bruno , NGUEMJOM Olivier , Ndjoua Ndumbe Abdelaziz , Henry Ngah Ntiga Louis 
Published: February 2024

Abstract

The aim of this article is to study the effect of migrant remittances (RFM) on the public debt of a sample of 48 African countries over the period 1990-2020. To achieve this, we specify a panel model that we estimate using the generalized method of moments. The results show that migrant remittances reduce public debt in Africa in such a way that a 1% increase in the level of RFM would allow a 0.015% reduction in the level of public debt of African countries. Indeed, RFM can reduce public debt levels by broadening the country's tax base, by increasing foreign exchange earnings and by misaligning the exchange rate, depending on whether or not the country's currency is pegged to a foreign currency. We recommend that decision-makers set up incentives for formal remittances via digital channels, in particular by simplifying costs and procedures, and pursue policies aimed at better inclusion of the diaspora in the realization of major development projects in Africa, with a focus of RFM on productive investments which, combined with local development policies, will in the long term make it possible to have an independent national currency.
Experimental tests and simulations about the efficiency of commercial hybrid inverters operating at variable power factor
Authors: Ventura Cristina , Tina Giuseppe Marco , De Benedetti Massimiliano Maurizio , Dugo Daniele , Abouchabana Nabil 
Published: February 2024

Abstract

The main problems of the non-programmable generation proliferation, mainly photovoltaic, are related to the angle and frequency stability of the power system. Therefore, new rules to make distributed generation participate in network stability are needed. Consequently, national and international grid codes have been updated requiring distributed generators to supply ancillary services, such as the voltage and frequency regulation. Most LV grid connected inverter based systems are only setup to inject power at unity power factor, meaning they only produce active power. However, the Italian Standards, and in particular the CEI 0–21, require to hybrid inverters of residential systems to include the possibility of being able to absorb or supply reactive energy. This allows to limit the over / under voltages problems. In this context, the inverters’ manufacturers have introduced the necessary changes in order to allow residential inverters to set the power factor. These new potentialities have been exploited in order to study the inverter performance with the variation of the power factor, considering both the inductive and the capacitive behaviour. In particular, the presented paper focuses on the experimental tests on a hybrid inverter based system for residential use with the aim of evaluating the dependence of the inverter efficiency on the power factor. Based on measured values, a Matlab/Simulink simulator has been developed for modelling the system with the aim of evaluating the control systems in order to participate in regulation services and to evaluate the inverter efficiency in case of power factor different from the unit.
Birefringence of Anomalous Rotary Photon Drag Trough Induced Chiral Atomic Medium.
Authors: BILAL MUHAMMAD 
Published: February 2024

Abstract
This study examines the phenomenon birefringence of anomalous rotary photon drag in a chiralatomic medium by analyzing the effects on left and right circularly polarized beams. The maximumanomalous rotary photon drags for RCP beam is measured to −6.2 nanoradian and for LCP beamis measured to −11 nanoradian. Detuning and Rabi frequencies of control fields reduce dragon LCP and RCP beams. The anomalous rotary photon drag for RCP beam maximized to −8nanoradian and LCP beam is maximized to −11 nanoradian at the control field Rabi frequency,while at other control Rabi frequency are maximized to −9.5 nanoradian and −30 nanoradianforRCP/LCP beams. The results shows signeficant application imaging coding technology.
Exploring the relationships between emotions in fake news
Authors: Rubio Luis Rojas , Villegas Claudio Meneses , Norambuena Brian Keith 
Published: February 2024

Abstract

Social media has emerged as one of the main conduits of information for individuals, owing to itsimmediacy and social interactivity, enabling users to share content they find relevant. However, thiswidespread use has given rise to the proliferation of fake news—publications that lack authenticity or areentirely false. In the state of the art, various approaches have been taken to address fake news, includinguser-centric, propagation-centric, interaction-centric, and textuality-centric perspectives. This articlecontributes to the latter by conducting empirical work that seeks to identify fake news and characterize theemotions associated to these fake news in a dataset comprising social media posts. Utilizing the datasetsGossipCop, PolitiFact, and CoronaFake, the objective is twofold: (1) train models for the identification offake news and (2) identify and characterize the emotions associated with fake news. This encompasseseverything from collecting tweets to characterizing emotions. The undertaken work concludes that, onaverage, the algorithms employed achieve an accuracy of 90.2% in identifying fake news. Furthermore, itprovides a characterization of the emotions associated with fake news within the datasets.
Ensemble Learning Method for Predicting Protein Submitochondrial Localization by Multi-type Feature Fusion
Authors: Ruan Xiaoli , Liu Keli , Yang Jing , Li Shaobo , Su Zhidong 
Published: February 2024

Abstract
Background
The mitochondria exist in most eukaryotic cells and mainly function as energy producer. Different mitochondrial structures have different functional areas. Abnormal mitochondrial structures not only cause diseases but also promote aging. In this regard, accurate prediction of protein submitochondrial locations could enhance the understanding of disease mechanisms and promote drug design. However, current mainstream method mainly adopts single attribute features and barely considers unbalanced samples, so, we introduce a method to resolve these problems and improve prediction accuracy in this work.
Results
We combined diverse types of features that were extracted based on sequence information, evolutionary information, and physicochemical property to enrich feature expression. The integrated class prediction information of each feature description was based on a two-layer support vector machine ensemble model to eliminate the heterogeneity of the feature fusion. Furthermore, resampling method was utilized to settle the unbalanced class. The jackknife test was employed to validate and compare the overall prediction framework with existing methods on M317 and M983 datasets. Independent test was applied on M495 to prove the generalization of the model. Experimental results revealed that the prediction performance for multi-source feature integration was higher than that for homologous feature fusion, and it improved the accuracy of the small class sample and surpassed other methods in terms of overall prediction accuracy. Finally, local software for resampling was built for reader’s convenience.
Conclusions
The results show that our method can not only effectively handle the problem of imbalanced samples, but also has good predictive performance and stability. The datasets and codes can be freely obtained at https://github.com/ruanxiaoli/Ensemble-Learning.
Maintenance treatment with oral anticancer agents after first-line chemotherapy in patients with recurrent or metastatic nasopharyngeal carcinoma: a systematic review and meta-analysis
Authors: Hu Longfei , Huang Yuxin , Zhang Ju 
Published: February 2024

Abstract
Objective: Maintenance therapy following first-line chemotherapy is of particular significance in patients diagnosed with recurrent or metastatic nasopharyngeal carcinoma (NPC). We conducted a meta-analysis to investigate the impact of maintenance therapy (MT) on the survival prognosis of individuals with recurrent or metastatic NPC.
Methods: The databases Embase, PubMed, and the Cochrane Library were thoroughly searched in a comprehensive manner. Prospective studies of MT for recurrent or metastatic NPC are required. Study endpoints included progression-free survival (PFS) and overall survival (OS).
Results: Two randomized controlled clinical trials, with a total of 294 participants, were analyzed. The maintenance therapy group consisted of 140 participants, while the remaining participants were in the non-maintenance therapy (non-MT) group. The MT group showed a notable enhancement in PFS compared to the non-MT group, with a hazard ratio(HR) of 0.44 and a 95% Confidence interval [CI] of 0.34-0.58 (p< 0.0001). Overall survival was also significantly improved (HR0.42, 95% CI 0.30-0.58; p<0.0001). The incidence of grade 3 or 4 side effects in the MT group was leukopenia (2.9%), thrombocytopenia (0.7%), and anemia (4.3%), hand-foot syndrome (5.8%), and thrombocytopenia (0.7%). oral mucositis (1.5%), and nausea and vomiting (2.2%).
Conclusions: Maintenance therapy with S-1 (tegafur/gimeracil/oltiracetam) or capecitabine following first-line chemotherapy significantly enhanced OS and PFS in patients with recurrent or metastatic nasopharyngeal carcinoma, while exhibiting minimal incidence of grade 3-4 side effects.
Development of a complete automatic weather station for irrigation management via IoT
Authors: Azevedo Angelo Tiago , Coelho Rubens Duarte , Carnervisk Elizabeth , Maciel Ailson , Tabile Rubens Andre 
Published: February 2024

Abstract
Water management in irrigated agriculture, from the perspective of water balance based on meteorological data, demands data collection and transmission systems with high reliability and capacity to represent the physical phenomenon occurring in the agricultural environment. Thus, aiming to manage irrigation using smart devices, this article presents the development of the hardware and software of a complete automatic meteorological station based on IoT, from the calibration of the sensor elements, to the development of the final device, which operates with the routine of reading variables at intervals of 10 seconds, followed by online storage of average and extreme data every 10 minutes, followed by estimation of daily evapotranspiration using the Penmam Monteith method. The device has a user communication interface via a messaging application, through which the current weather condition can be requested remotely and receive daily data collected. The final version had its operation analyzed continuously, for a period of one year, together with a commercial automatic station, where a correlation was found between its estimates (R2) of evapotranspiration of 0.93, together with an average absolute error of 0.30 mm, obtaining an excellent classification in the capacity to estimate evapotranspiration.
Safety Profile of Paxlovid in the Treatment of COVID-19
Authors: Lv Bing , Gao Xin , Zeng Guoqiang , Guo Hui , Li Faping 
Published: February 2024

Background:
With the urgent and widespread application of Paxlovid, a novel antiviral drug for
Coronavirus Disease 2019 (COVID-19) in clinical practice, concerns regarding its actual efficacy and safety
have emerged. In order to provide more evidence to support its clinical application, we sought to perform a descriptive
analysis of cases who experienced at least one Paxlovid-related adverse event (AEs) and reported to
the FDA Adverse Event Reporting System (FAERS) in the post-marketing period.

Methods:
Individual adverse event reports between January 1, 2022 and September 30, 2022, were downloaded
from the FAERS website. We completed a descriptive study about the safety of Paxlovid in the treatment
of COVID-19. Further, we also analyzed the onset time of Paxlovid-related AEs.

Results:
As of 30 September 2022, 16,529 de-duplicated cases were submitted to the FDA, and 5,860
(35.45%) were female. The average age was 58.38 years (S.D. 15.50). Most reports (12,390, 74.96%) were
submitted by consumers and 1,436 (8.68%) concerned serious outcomes. The most frequently reported AEs
were disease recurrence (7,724, 16.23%), dysgeusia (2,877, 6.05%), and diarrhoea (1,448, 3.04%). The median
onset time of Paxlovid-related AEs was 8 days (interquartile range,1-10 days), and most of the cases
(2,629, 19.12%) occurred on the day after Paxlovid initiation.

Conclusion:
This study indicates that the most common AEs reported with Paxlovid in post-marketing experience
are consistent with the safety assessment of antiviral drugs. Even without emerging apparent safety concerns,
the incidence of serious outcomes was unexpectedly high, and a few cases of potential new AEs occurred.
The Potential of Natural Products in the Management of Cardiovascular Disease
Authors: Singhai Harshita , Rathee Sunny , Jain Sanjay K. , Patil Umesh Kumar 
Published: February 2024

Abstract:
Cardiovascular Disease (CVD) is one of the most prevalent diseases in the world, comprising a
variety of disorders such as hypertension, heart attacks, Peripheral Vascular Disease (PVD), dyslipidemias,
strokes, coronary heart disease, and cardiomyopathies. The World Health Organization (WHO) predicts that
22.2 million people will die from CVD in 2030. Conventional treatments for CVDs are often quite expensive
and also have several side effects. This potentiates the use of medicinal plants, which are still a viable alternative
therapy for a number of diseases, including CVD. Natural products' cardio-protective effects result from
their anti-oxidative, anti-hypercholesterolemia, anti-ischemic, and platelet aggregation-inhibiting properties.
The conventional therapies used to treat CVD have the potential to be explored in light of the recent increase
in the popularity of natural goods and alternative medicine. Some natural products with potential in the management
of cardiovascular diseases such as Allium sativum L., Ginkgo biloba, Cinchona ledgeriana, Ginseng,
Commiphoramukul Digitalis lanata, Digitalis purpurea L. Murrayakoenigii, Glycyrrhiza glabra, Polygonum
cuspidatum, Fenugreek, Capsicum annum, etc. are discussed in this article.
A Review on Folklore Uses, Phytoconstituents and Pharmacological Activities of the Genus Berberis
Authors: Nooreen Zulfa , Rai Awani Kumar , Jaisal Poonam , Sumayya Fariha , Wal Ankita , Siddique Nasir A. 
Published: February 2024

Abstract:Genus berberis, an evergreen shrub of about 500 plant species found in subtropical and temperate regions but only some of them are investigated and evaluated for their phytochemistry and bioactivity. These plants are spread worldwide and help in the nourishment of humans and animals. Almost all parts of the plant are investigated for pharmacological and phytochemical purposes, including, roots, fruits, stems, buds, seeds, branches, flowers, leaves, and whole plant. Rasaut, an extract of either the stem or root of Berberis aristata is mentioned in the ancient Ayurvedic literature of India for treating indolent ulcers and eye disorders, and B. vulgaris is still used to treat malaria in North America. They have many medicinal properties and compounds that are bioactive like berberine. Berberine possesses anticancer, antimicrobial, and other activities. The plants contain a number of alkaloids, tannins, flavonoids, carotenoids, terpenoids, and other categories of chemical constituents. The alkaloidal compounds are isolated and evaluated for various activities and are found to be active. The researchers are continuously working to get novel exploration regarding the Genus Berberis . Here in the review, traditional and folkloric uses of the genus were also described. Apart from this, they possess numerous activities like anticancer, antimicrobial, antioxidant, anti-inflammatory, antidiabetic, antiulcer, antiviral and, wound healing and many more. These activities were authenticated by in-vitro and in-vivo methods. The aim of this review is to update and systematically arrange information in one platform. In this review, we extracted the current information from Pubmed, Googlescolar, Scifinder and many more databases.
Quercetin Prevents Hypertension in Dahl Salt-sensitive Rats F ed a
High-salt Diet Through Balancing Endothelial Nitric Oxide Synthase and
Sirtuin 1
Authors: Wu Guanji , Liu Fuqiang , Cui Qing , Zhang Tao , Bao Jianjun , Hao Junjun 
Published: February 2024

Background:
A high-salt diet is a leading dietary risk factor for elevated blood pressure
and cardiovascular disease. Quercetin reportedly exhibits cardioprotective and antihypertensive
therapeutic effects.

Objectives:
The objective of this study is to examine the effect of quercetin on high-salt dietinduced
elevated blood pressure in Dahl salt-sensitive (SS) rats and determine the underlying
molecular mechanism.

Materials and Methods:
Rats of the Dahl SS and control SS-13 BN strains were separated into
five groups, SS-13 BN rats fed a low-salt diet (BL group), SS-13 BN rats fed a high-salt diet
(BH group), Dahl SS rats fed a low-salt diet (SL group), Dahl SS rats fed a high-salt diet (SH
group), and SH rats treated with quercetin (SHQ group). Blood pressure was checked three
weeks into the course of treatment, and biochemical markers in the urine and serum were examined.
Additionally, western blot was done to evaluate the sirtuin 1 (SIRT1) and endothelial
nitric oxide synthase (eNOS) expression levels. Immunohistochemical analysis was performed
to verify SIRT1 levels.

Results:
We demonstrated that a high-salt diet elevated blood pressure in both SS-13 BN and
Dahl SS rats, and quercetin supplementation alleviated the altered blood pressure. Compared
with the SH group, quercetin significantly elevated the protein expression of SIRT1 and eNOS.
Immunohistochemistry results further confirmed that quercetin could improve the protein expression
of SIRT1.

Conclusion:
Quercetin reduced blood pressure by enhancing the expression of SIRT1 and
eNOS in Dahl SS rats fed a high-salt diet.
An Alternative Method for the Selective Synthesis of Ortho-nitro Anilines Using Bismuth Nitrate Pentahydrate
Authors: Loera-Garcia Brenda V. , Leyva-Ramos Socorro , Cardoso-Ortiz Jaime , Noriega Saul , Romo-Mancillas Antonio , Baines Kim M. , McOnei Sarah L. 
Published: February 2024

Background:
Nitroaromatic compounds are important scaffolds used for the syn-thesis of a variety of compounds, such as explosives, herbicides, dyes, perfumes and phar-maceuticals. Bismuth nitrate pentahydrate is a widely used reagent in organic synthesis; how-ever, its utility as a nitrating agent for anilines is underexplored.

Objective:
The aim of this work is to propose and find the proper reaction conditions of an alternative nitrating agent constituted by a mixture of bismuth nitrate / acetic anhydride in DCM with a series of substituted anilines under mild reflux.

Methods:
Several anilines having both activating and deactivating substituents in the ortho, meta and para positions were the substrate for the nitration reaction. Experimental conditions were performed in “one-pot” conditions before product purification.

Results:
Bi(NO3)3•5H2O demonstrated to be effective and somehow regioselective when it came to the nitration of anilines in the ortho position. Although other products were also identified under these conditions, in most cases, the ortho derivative was the major or even the only product obtained with moderate to high yields in the range of 50% – 96%.

Conclusion:
Bi(NO3)3•5H2O is an efficient and safe nitrating agent since the use of concen-trated and corrosive acids like sulfuric and nitric is avoided; furthermore, bismuth nitrate is low-priced and no special care nor equipment is required.
Network Subgraph-based Method: Alignment-free Technique for Molecular Network Analysis
Authors: Zaenudin Efendi , Wijaya Ezra B. , Mekala Venugopal Reddy , Ng Ka-Lok 
Published: February 2024

Background:
Comparing directed networks using the alignment-free technique offers the
advantage of detecting topologically similar regions that are independent of the network size or
node identity.

Objective:
We propose a novel method to compare directed networks by decomposing the network
into small modules, the so-called network subgraph approach, which is distinct from the network
motif approach because it does not depend on null model assumptions.

Methods:
We developed an alignment-free algorithm called the Subgraph Identification Algorithm
(SIA), which could generate all subgraphs that have five connected nodes (5-node subgraph). There
were 9,364 such modules. Then, we applied the SIA method to examine 17 cancer networks and
measured the similarity between the two networks by gauging the similarity level using Jensen-
Shannon entropy (HJS).

Results:
We identified and examined the biological meaning of 5-node regulatory modules and
pairs of cancer networks with the smallest HJS values. The two pairs of networks that show similar
patterns are (i) endometrial cancer and hepatocellular carcinoma and (ii) breast cancer and pathways
in cancer. Some studies have provided experimental data supporting the 5-node regulatory modules.

Conclusion:
Our method is an alignment-free approach that measures the topological similarity of
5-node regulatory modules and aligns two directed networks based on their topology. These modules
capture complex interactions among multiple genes that cannot be detected using existing
methods that only consider single-gene relations. We analyzed the biological relevance of the regulatory
modules and used the subgraph method to identify the modules that shared the same topology
across 2 cancer networks out of 17 cancer networks. We validated our findings using evidence from
the literature.