bluuebunny/crossref_metadata_2025 huggingface dataset:
A Review of Antidepressant Effects and Mechanisms of Three Common
Herbal Medicines: Panax ginseng, Bupleurum chinense, and Gastrodia
elata
Authors: Mu Dan , Ma Qin
Published: November 2022

Objectives:

Major depressive disorder (MDD) has been reported to affect an increasing
number of individuals due to the modern lifestyle. Because of its complicated mechanisms and recurrent
attacks, MDD is considered a refractory chronic disease. Although the mainstream therapy for
MDD is chemical drugs, they are not a panacea for MDD because of their expensiveness, associated
serious adverse reactions, and endless treatment courses. Hence, we studied three kinds of herbal medicines,
namely, Panax ginseng C.A. Mey (PGM), Bupleurum chinense DC (BCD), and Gastrodia elata
Blume (GEB), and reviewed the mechanisms underlying their antidepressant properties to provide a
reference for the development of antidepressants and clinical medications.

Methods:

An extensive range of medicinal, clinical, and chemistry databases and search engines were
used for our literature search. We searched the literature using certain web literature search engines,
including Google Scholar, PubMed, Science Direct, CNKI (China National Knowledge Infrastructure),
and Web of Science

Results:

Experimental research found that active compounds of these three medicines exhibited good
antidepressant effects in vivo and in vitro. Clinical investigations revealed that single or combined
treatment of these medicines improved certain depressive symptoms. Antidepressant mechanisms are
summarized based on this research.

Conclusion:

The antidepressant mechanism of these three medicines includes but is not limited to
ameliorating inflammation within the brain, reversing the hypothalamic-pituitary adrenal axis (HPA)
system hyperfunction, inhibiting monoamine neurotransmitters reuptake, anti-neuron apoptosis and
preventing neurotoxicity, and regulating depressive-related pathways such as the BDNF pathway and
the PI3K/Akt/mTOR pathway.
Relationship Between Dark Triad, Coping Styles, Sensation Seeking And Substance Use Among Youth
Authors: Brajković Lovorka , Jelinčić Klara , Kopilaš Vanja
Published: November 2022

Aims:

This study aimed to analyze the frequency of substance use in young people and to determine to what extent consumption is defined by the Dark triad of Personality, sensation seeking and stress coping styles.

Methods:

The study was conducted on 367 participants aged 18 to 30 years. The questionnaire was composed of the sociodemographic questionnaire, the Short Dark Triad (SD-3), Coping Orientation to Problems Experienced Inventory (COPE), and the Sensation Seeking Scale (SSS-V).

Results:

Our results showed that young people most frequently use marijuana, followed by psychostimulants (cocaine, speed, crystal methamphetamine), psychostimulants with hallucinogenic properties (MDMA) and finally hallucinogenic drugs (LSD, PCP). Reported alcohol use was moderate to frequent. Hierarchical regression analysis showed that statistically significant predictors of psychoactive substance use explaining 45.1% of total variance were age, gender, psychopathy, Machiavellianism, boredom susceptibility, disinhibition and experience seeking. Statistically significant predictors of alcohol use explaining 19.6% of total variance were avoidant coping, disinhibition and sensation seeking.

Conclusion:

These findings are useful in both the theoretical and practical domains of psychology in detecting groups at risk for later development of psychoactive substance use.
Meloxicam Performances for Copper Corrosion Inhibition in 1M
HNO3: Experimental and Theoretical Approaches
Authors: Donatien Ehouman Ahissan , Amara Bamba , Kalifa Mariko , Eric Kouakou , Massogbè Diabate , Ali Sanou , Rodrigue Kouakou Adjoumani , Marius Niamien Paulin
Published: November 2022

Background:

Copper is a metal that is widely used in many fields such as industry
and construction, etc. These different industrial sectors use acid solutions such as
nitric acid and hydrochloric acid, etc. The use of acid solutions in the industrial environment
causes degradation of materials. In recent decades, the use of corrosion inhibitors
has become very essential.

Objective:

The objective of our study is to test the performance of meloxicam as a copper
corrosion inhibitor in a nitric acid medium.

Methods:

The studies were conducted using the gravimetric method and density functional
theory (DFT) at B3LYP/6-311G (d, p) level of theory. The inhibitory efficiency
of the molecule increases with increasing concentration of Meloxicam, but decreases
with increasing temperature. The adsorption of the molecule on the copper surface follows
the Villamil model.

Results:

The thermodynamic quantities of adsorption and activation were determined
and discussed. Quantum chemical calculations have allowed determining the molecular
descriptors.

Conclusion:

There is a good agreement between the experimental and theoretical results.
Electrochemical studies are envisaged.
Centrifugal and Solution Blow Spinning Techniques in Tissue Engineering
Authors: Aslam Khan Muhammad Umar , azak Saiful Izwan Abd R. , Khan Rawaiz , Haider Sajjad , Ali Raza Mohsin , Amin Rashid , Shah Saqlain A. , Hasan Anwarul
Published: November 2022

Nanofibers are a necessary source for fibrous materials and other useful
applications such as tissue engineering, filtration, safety fabrics, batteries for the
production of nanofibers so far. However, due to its low production rate, the wide
commercial use of electrospinning is minimal. Almost all nanofiber fabrication
techniques (e.g., melt blowing, two-component processes, phase splitting, template
synthesis, and self-assembly, etc.) are used to produce nanofibers from a limited
number of polymeric materials. Centrifugal spinning (CS) and solution blow spinning
(SBS) are advanced replacement processes to fabricate nanofibers with full
performance from various low-cost raw materials. This chapter focuses on a
comprehensive overview of CS and SBS as well as various other aspects of the
fabrication of nanofibers.
3D Printed Biomaterials and their Scaffolds for Biomedical Engineering
Authors: Zehra Raza Rabail , Jaiswal Arun Kumar , Faheem Muhammad , Tiwari Sandeep , Khan Raees , Castro Soares Siomar de , Ullah Khan Asmat , Azevedo Vasco , Jamal Syed Babar
Published: November 2022

Over the past decade, three-dimensional printing (3DP) has gained
popularity among the public and the scientific community in a variety of disciplines,
including engineering, medicine, manufacturing arts, and, more recently, education.
The advantage of this technology is that it is capable of designing and printing almost
any object shape using various materials such as ceramics, polymers, metals and bio.inks. This has further favored the use of this technology for biomedical applications in
both clinical and research settings. In biomedicine, there has been a remarkable
development of a variety of biomaterials, which in turn has accelerated the significant
role of this technology as synthetic scaffolds in various forms such as scaffolds,
constructs or matrices. In this chapter, we would like to review the trailblazing
literature on the application of 3DP technology in biomedical engineering. This chapter
focuses on various 3DP techniques and biomaterials for tissue engineering applications
(TE). 3DP technology has a variety of applications in biomedicine and TE (B- TE).
Customized structures for B- TE applications using 3DP have several advantages, e.g.,
they are easy to fabricate and are inexpensive. On the other hand, conventional
technologies, which are costly, time-consuming, and labor intensive, are generally not
compatible with 3DP. Therefore, the capabilities of 3DP, which is a novel fabrication
technology, need to be explored for many other potential applications. Here, we
provide a comprehensive overview of the different types of 3DP technologies and how
they can potentially be used.
Principles of Supra Molecular Self Assembly and Use of Fiber mesh Scaffolds in the Fabrication of Biomaterials
Authors: Ahsan Haseeb , Ul Islam Salman , Bilal Ahmed Muhammad , Shehzad Adeeb , Ul Islam Mazhar , Sup Lee Young , Kyung Sonn Jong
Published: November 2022

Tissue engineering techniques aim to create a natural tissue architecture
using biomaterials that have all the histological and physiological properties of human
cells to replace or regenerate damaged tissue or organs. Nanotechnology is on the rise
and expanding to all fields of science, including engineering, medicine, diagnostics and
therapeutics. Nanostructures (biomaterials) specifically designed to mimic the
physiological signals of the cellular/extracellular environment may prove to be
indispensable tools in regenerative medicine and tissue engineering. In this chapter, we
have discussed biomaterial design from two different perspectives. Supramolecular
self-assembly is the bottom-up approach to biomaterials design that takes advantage of
all the forces and interactions present in biomolecules and are responsible for their
functional organization. This approach has the potential for one of the greatest
breakthroughs in tissue engineering technology because it mimics the natural, complex
process of coiling and folding biomolecules. In contrast, a fiber mesh scaffold is a top.down approach in which cells are seeded. The scaffolds form the cellular scaffold
while the cells produce and release the desired chemical messengers to support the
regeneration process. Therefore, both techniques, if efficiently explored, may lead to
the development of ideal biomaterials produced by self-assembly or by the fabrication
of optimal scaffolds with long shelf life and minimal adverse reactions.
Understanding financial strategy and management efforts to improve business operational efficiency in the era of multi-financial crisis
Authors: Muhani Urai , Nurmala Nurmala
Published: November 2022

Efforts to understand this financial strategy is one of the most important actions when these multiple financial crises hit the government, conditions, and even individuals. To discuss getting an understanding of the strategy in question, we have reviewed several documents that we believe can answer the core problems, and to prove our assumptions and findings, we examine them under a mandatory convenience approach which involves a data coding system conducting in-depth interventions and drawing conclusions to see if these findings are relevant and also valid answers. After a series of studies and discussions, we can finally conclude that an understanding of financial strategy in times of crisis to improve the efficiency of all operational sectors, both business and government, requires an understanding of appreciation and then invites to collaborate in setting economic priorities and opening opportunities for investors, and strategies intensive, and go green project. Hopefully, these findings will add input for similar studies in the future.
Early detection of high risk of pregnant women in Asia
Authors: Agustini Yova , Sulistyaningsih Sulistyaningsih
Published: November 2022

This research is a Scoping Review. This study aims to map research on the early detection of high-risk pregnant women. The research method used is to adapt the Prisma-ScR framework. PubMed Database, Scientific direct and Google Scholar; critical appraisal carried out in this review is to use the Joana Brigs checklist from the Joana Brigs Institute (JBI). Results: based on the search results of 541 there were 10 articles that matched the inclusion criteria and came from the Asian continent. This review raises two sub-themes, namely early detection of high-risk pregnant women by health workers and early detection of high-risk pregnant women by non-health workers. The results showed that early detection of high-risk pregnancies was related to activities to obtain information about pregnant women who were detected as at-risk populations. This can only be detected by health workers scientifically.
Estructura y diversidad arbórea en bosques de encino del centro de México
Authors: Rosaliano Evaristo Rubén , Ávila-Akerberg Víctor , Franco-Maass Sergio , Valencia-A. Susana , López Mathamba Luis Angel
Published: November 2022

Se caracterizó la estructura y diversidad arbórea de bosques de encino en dos microcuencas del centro de México. Se midieron los diámetros (≥ 5 cm) y alturas de los árboles en parcelas circulares de 1000 m2. La estructura horizontal se analizó con base en el valor de importancia relativa (VIR); se compararon los diámetros de seis especies que comparten ambos sitios con la prueba Mann-Whitney y para la estructura vertical se empleó el índice A de Pretzsch., mientras que para la diversidad alfa y beta se utilizó el software PAS 4.3. En ambos casos Quercus laurina y Quercus rugosa obtuvieron los valores más altos de densidad, dominancia y de VIR, aunque no existen diferencias entre los diámetros, predominan los ejemplares jóvenes (diámetros 5 cm – 23 cm) y presentan una distribución típica de J invertida, frecuente en bosques con regeneración natural. Sin embargo, Quercus crassipes muestra un descenso en individuos (< 15 cm), lo que sugiere un posible desplazamiento. La distribución vertical indica que la altura se distribuye principalmente en el estrato III (< 15 m). En cuanto a diversidad arbórea la diferencia no es significativa, aunque la riqueza específica fue de 22 y 12 especies en CPG y CRP, respectivamente, y hubo un recambio intermedio. Los resultados de este trabajo contribuyen a entender los procesos ecológicos de estructura, diversidad e interacción entre poblaciones de árboles de estas comunidades por lo que es necesario dar seguimiento sobre todo a especies con comportamientos como Q. crassipes.
Stress among staff in public service organizations: Mapping the relationship between team conflict, personality, and job demands towards job stress
Authors:   Faculty of Business, Economics and Social Development, University Malaysia Terengganu, 21030 Kuala Negus, Terengganu, Malaysia, Ahmad Rohana , Majid Wan Naqiyah Wan Abdul , Yasin Md. Aris Safree Md , Arifin Suhaili , Kamaruddin Siti Hajar
Published: November 2022

Since the beginning of time, we have had to deal with stress. Stress has been reported to be on the rise in the public sector because of new work strategies and a demand for excellence. According to the Congress of Unions of Employees in the Public and Civil Service of Malaysia (CUEPACS), nearly 400,000 civil servants in Malaysia have been identified as experiencing many types of stress. This study investigated the influence of team conflict and personality on job stress, as well as the mediating role of job demands in the context of stress in public service organizations (PSOs). The data for this study was gathered using a questionnaire survey administered to 656 public officials in seven PSOs in Putrajaya, Kuala Lumpur, Malaysia. The findings suggested a statistically significant association between personality and job demands and job stress. Additionally, this research exposes the mediating role of task demands in the relationship between team conflict, personality, and employee job stress in the public sector.
The integration of psychology and artificial intelligence in e-learning systems to guide the learning path according to the learner's style and thinking
Authors:   Applied College, Northern Border University, Arar, Saudi Arabia, Elhossiny Mohammed ,   Faculty of Specific Education, Mansoura University, Mansoura, Egypt, Eladly Rania ,   Faculty of Specific Education, Mansoura University, Mansoura, Egypt, Saber Abdelnasser ,   Applied College, Northern Border University, Arar, Saudi Arabia,   Faculty of Computer and Information Sciences, Mansoura University, Mansoura, Egypt
Published: November 2022

Traditional e-learning systems fall short in many respects when it comes to delivering content to learners in the most effective way. Research shows that e-learning systems are not accommodative of learners’ thinking and learning styles, which leads to poor performance. This paper proposes a way through which this problem can be addressed. The researcher believes that the technology of Artificial Intelligence can be integrated with the learning and thinking styles (Psychology) of learners in an e-learning system to provide an enriched learning experience. No attempts have been made so far to integrate Artificial intelligence and Psychology in an e-learning environment, making this paper unique. The paper explores this subject by designing a system that will be termed a “smart e-learning system.” The paper sought to propose Artificial Intelligence algorithms that will be applied to the learning and thinking styles of learners to come up with highly adaptive models for each student that enhances their learning experience. The significant difference in the performance of the control group and experimental group confirms that if psychology and AI are integrated, there is a significant improvement in the student learning experience in an e-learning system. This shows that Artificial Intelligence can work well with Psychology to enhance the learning experience in the e-learning environment.
Effect of Different Additives on the Structure and Activity of β-Galactosidase Immobilized on a Concanavalin A–Modified Silica-Coated Titanium Dioxide Nanocomposite
Authors: Shafi Azra , Husain Qayyum
Published: November 2022

Interpreting the relationship between the activity and structure of β-galactosidase is necessary to perceive the impact of the enzyme’s conformation on its catalysis. The current study thoroughly explains the effects of additives such as ethylenediaminetetraacetic acid (EDTA), sodium dodecyl sulfate (SDS), dithiothreitol (DTT), and urea on β-galactosidase activity and structure. β-Galactosidase activity was determined at various ionic strengths and temperatures as a function of time. Structural studies evaluating changes in the secondary and tertiary structures of the enzyme in the presence of the additives were conducted using ultraviolet (UV)-visible and intrinsic fluorescence spectroscopy. The immobilized enzyme showed enhanced stability under different environmental conditions. Activity assays demonstrated concentration-dependent inactivation of β-galactosidase in the presence of SDS and urea, which suggests that hydrophobic and charged residues are present near the active site. In the presence of EDTA, loss in activity was noted, which confirms that β-galactosidase is a metalloenzyme. Enhancement in enzyme activity in the presence of DTT suggests the presence of a cysteine residue near the catalytic center. In UV-visible and intrinsic fluorescence spectroscopy studies, the native enzyme showed significant conformational transitions in the presence of DTT, SDS, and urea and very few changes in the presence of EDTA. However, the immobilized enzyme could resist significant structural changes. In conclusion, this study provides a detailed description of the association between the activity and conformational stability of β-galactosidase.
Thermometer-based fever surveillance and COVID-19 lead time in California, New York, Ohio, Pennsylvania, and Texas, November 2021 - March 2022 (Preprint)
Authors: Tonzel Julius L , Sloughy Alicia , Bloch Danielle , Schaffner William
Published: November 2022

BACKGROUND

Current public health surveillance infrastructure primarily relies on laboratory reporting of COVID-19 to assess the burden of disease. A combination of limited diagnostic testing capacity, reporting delays, and the increased use of non-reportable at-home tests have hindered the ability to track the spread of COVID-19. Novel epidemiological approaches have been implemented to supplement gaps in the current public health surveillance system.

OBJECTIVE

To investigate if there is a lead time and determine the correlation between population-level fever incidence recorded by smartphone-connected thermometers and reported COVID-19 case incidence in five US states

METHODS

To compare the incidence curves of fever-based surveillance and reported COVID-19 cases from November 2, 2021 - March 30, 2022 in five states, we compared their respective maxima (“peak-to-peak” analysis) and conducted a cross-correlation analysis.

RESULTS

A total of 276,981 temperatures were recorded in the study population, of which 48,091 were febrile and the plurality of which were from California. Using both the peak-to-peak analysis and cross correlation analysis, fever incidence preceded COVID-19 cases in all five states. For the peak-to-peak method, lead times ranged from 2 (Texas) to 15 days (Ohio). In the cross-correlation analysis, lead time ranged from 6 to 8 days, with Ohio having the shortest lead time and New York, Pennsylvania, and Texas having the longest. Fever incidence and reported COVID-19 cases were highly correlated in all five states (r ≥ 0.9).

CONCLUSIONS

Thermometer-based fever incidence consistently produced a lead time with a high correlation of COVID-19 cases in the five states that were studied. In conjunction with early warning and laboratory diagnostic data, these results can inform health policies and resource allocation of vaccines and testing. Future studies can analyze lead time in other states and scales of geography, compare fever surveillance to other surveillance sources, and stratify fever data by age, gender, and race and/or ethnicity, if available, to identify any sentinel groups.
Protecting the Deity Called Neoliberalism from Shame: Uganda’s 2020 Covid-19 Lockdown and Violations of the Right to Health
Authors: George Kizito Michael
Published: November 2022

The Covid-19 pandemic struck Uganda like a storm. On 18 March 2020, President Museveni ordered the closure of schools and suspended religious gatherings, public rallies and cultural meetings with effect from 20 March. This was aimed at safeguarding the right to health in general, and the right to life in particular, of all Ugandans. By 30 June 2020, Uganda had not registered a single Covid-19 death and had had less than 1 000 infections. The Covid-19 pandemic, however, created great panic among the leadership of Uganda’s neoliberal regime. For three decades, the Ugandan state has deliberately underfunded the health sector, using the neoliberal logic that the market will address the challenges of the health sector. The state has treated economic and social rights as mere aspirations and not as genuine human entitlements. Museveni’s regime has rejected pleas from civil society organisations to allocate 15% of the budget to the health sector, as per the Abuja Declaration. The New Public Management philosophy of neoliberalism advocates for public hospitals and health facilities to be run like private-sector enterprises that employ fewer personnel in order to cut the costs of salaries and wage expenses. This article argues that the Ugandan state violated the right to health of Ugandans during the 2020 Covid-19 lockdown. It contends that the ruthless enforcement of the lockdown in Uganda in the wake of the coronavirus pandemic aimed to protect the neoliberal state from embarrassment occasioned by the prioritisation of markets over people’s social and economic rights.
Brazilian Indigenous Pregnant Women: Relationship between Prenatal assistance and the Numbers of normal and c-sections between 2010 and 2019
Authors: Halmenschlagerv Isabel Helena Forster , Garcia Edna Linhares , Campos Deivis de
Published: November 2022

We sought to verify the performance of prenatal care by indigenous pregnant women and the numbers of vaginal and cesarean deliveries in Rio Grande do Sul in relation to Brazil, from 2010 to 2019. Based on ecological or correlation studies, it was carried out if the searches in the free access database of DATASUS, carried out between December 01 and 15, 2021 in the aforementioned system, being researched on the numbers of vaginais deliveries and cesarean sections among indigenous and non-indigenous pregnant women in Brazil and in the state from Rio Grande do Sul for a time span of ten years - 2010 to 2019. For the analysis, it used the quantitative and qualitative descriptive analysis technique. As main results, it was evidenced that indigenous women perform more normal deliveries, when compared to non-indigenous pregnant women. Cultural factors and distances from health centers may be a factor that corroborates the data found. Another point worth mentioning about the findings refers to: although the number of normal births in indigenous people is greater, we still need to move forward to obtain the recommendation.
Mother rejection/overprotection and adolescent deviant peer affiliation: Violence exposure and teacher–student relationship as mediators
Authors: Ni Hubo , Su Chunjing , Xue Yan , Huang Jin
Published: November 2022

Previous studies have found that mothers' use of a negative parenting style is a risk factor for adolescent deviant peer affiliation, but it is not clear if mother rejection and overprotection affect deviant peer affiliation similarly, or if the mechanism is different for these two
parenting styles. Through a survey of 856 high school students in eastern China we measured mothers' rejection or overprotection and students' violence exposure, teacher–student relationship, and deviant peer affiliation. The results showed that in the link between mother's rejection
and adolescents' deviant peer affiliation, the mediating effect of both violence exposure and the teacher–student relationship was significant, and the mediating effect of the teacher–student relationship was significantly greater than that of violence exposure. In the link between
mother's overprotection and adolescent deviant peer affiliation, the mediating role of violence exposure was significant. These results show that mothers' rejection and overprotection each affect adolescent deviant peer affiliation via different mechanisms and suggest that targeted interventions
in adolescents' deviant peer affiliation should distinguish between rejection and overprotection.
Reliability and validity of a Chinese version of the State Feelings of Fat Scale
Authors: Yuan Weizhuo , Jiang Yuan , Zhou Xuan , Lin Qiuying , Chen Chunchun , Lu Yuxi , Pu Yinji , Gui Junxiao
Published: November 2022

In this study the State Feelings of Fat Scale (SFF) was translated into Chinese, and its reliability and validity were tested with a sample of 539 Chinese female undergraduates. Participants completed the Chinese version of the SFF Scale, the Eating Disorder Examination Questionnaire,
the Social Physique Anxiety Scale, the General Physical Self-Worth Scale, and the attraction body subscale of the Physical Self-Perception Profile. These variables and body mass index were selected as criterion measurements. Two weeks later, 94 participants were recalled to respond to the
SFF Scale again. The results of factor analysis supported the unidimensional structure model. Cronbach's alpha coefficient was .87 and the test–retest reliability was .91. The total score for the SFF Scale exhibited a significant correlation with all the criteria. It can be concluded
that the Chinese version of the SFF Scale has good reliability and validity and can be used in correlational studies.
Despossessão, violências e a potência transformadora: um olhar interseccional sobre as remoções
Authors: Lacerda Larissa Gdynia , Santoro Paula Freire , Alho Isabella Berloffa , Brito Gisele Aparecida de Sá , Harkot Marina Kohler
Published: November 2022

O presente artigo parte da seguinte questão: o que significa pensar a remoção e suas consequências com base na narrativa de mulheres que enfrentam esses processos? Ao recuperar as narrativas e as reflexões de mulheres que sofreram remoção ou se encontram em situação de ameaça, é possível iluminar dimensões do processo que podem passar despercebidas ou ser encobertas por análises cujo enfoque recai sobre outras dimensões, que não passam por uma reflexão sobre as características de quem está sendo removido, e sobre o significado disso diante da totalidade do fenômeno. Ao lançar luz sobre a multiplicidade dos impactos decorrentes dos processos de remoção, pode-se retomar a própria noção conceitual para, então, formulá-la desde baixo, quer dizer, a partir das várias experiências que a compõem. Afinal, o que é remoção? O que significa viver sob a ameaça de perder o lugar onde se vive?
AGREEMENT ON PAYMENT OF ALIMONY: ESSENTIAL AND OTHER CONDITIONS
Authors:   Saratov State Academy of Law, Ladochkina L.V. , Khmeleva T.I. ,   Saratov State Academy of Law
Published: November 2022

Controversial issues of essential and other conditions of alimony payment are considered. It is proposed to specify at the legislative level the conditions of alimony payment and the order of payment.
Vietnamese Diasporic Voices: Exploring Yellow Music in a Liminal Space.
Authors: Nguyen Thanh Thuy
Published: November 2022

This exposition seeks to identify artistic strategies and challenges in intercultural experimentation with nhạc vàng (yellow music)—a Vietnamese popular music genre. It builds on the author’s experience as a professional musician and đàn tranh player on the Vietnamese traditional music scene, and on her long-term international and intercultural collaborations with performers and composers, as a member of the Vietnamese/Swedish group The Six Tones. In three video essays, the exposition presents the artistic process developed by the participating artists, and an analysis of how these strategies relate to the rule systems of traditional and popular music in Vietnam.
Atomic connectivity group contribution (ACGC) method for the phase transition properties part 1: critical properties
Authors: Yan Fangyou , Cao Dongdong , Feng Xiaojie , Xiong Jialiang , Wang Qiang , Jia Qingzhu , Shuqian Xia
Published: November 2022

In this work, atomic connectivity group contribution (ACGC) method is
developed for predicting critical properties of organic compounds.
Herein, a new group defining method, namely atomic adjacent group (AAG)
method, is proposed to describe the relationship between core atom and
its adjacent atoms. For distinguishing isomers effectively, the shape
factor (SF) is used to describe the effect of molecular shape on group,
and atomic connectivity factors (ACF) are defined for describing the
position of each group in a molecule. The external and internal
verification methods were utilized during the modelling process.
Compared with AAG model, ARE decreased by 6.82-42.57 % when SF was
considered and, ARE decreased by 24.19-62.25 % when both SF and ACF
were applied as using the ACGC method. Accordingly, SF and ACF are
effective in improving the group contribution method and ACGC method is
accurate in calculating the properties of organic compounds.
Techno-economic analysis of CO2 absorption into a promising blended amine of DEEA-HMDA
Authors: Bai Liju , Zhao Dongfang , Zhong Xinkai , Dong Shoulong , Liu Helei
Published: November 2022

The techno-economic analysis is vital for the large-scale
industrialization of a particular potential amine solvent. This paper
proposes a techno-economic evaluation method to assess amine-based CO2
capture processes rapidly. The method’s validity is verified by using
the DEEA-HMDA blend as an example. The DEEA-HDMA blend was also compared
with various conventional amine solutions in terms of the CO2
solubility, KGav, reaction heat technical indicators and its
corresponding economic indicators. Operating expenditure (OPEX) included
both solvent consumption and energy requirements, and capital
expenditure (CAPEX) was mainly for packed column construction. CAPEX
(0.989 MUSD/tCO2) and OPEX (0.196 MUSD/tCO2) of using DEEA-HMDA as a CO2
absorbent were lower than MEA solutions with percentages of 23.3% and
1.2%, respectively. In conclusion, using the techno-economic method
proposed in this paper for the economic evaluation of seven amine
solvents shows that DEEA-HMDA is a potential carbon capture alternative
solvent.
Long-term warming increased richness in the asymmetric mutualism between bacteria and microalgae
Authors: Agusti Susana , Jin Peng , Stanschewski Clara , Diaz-Rua Ruben
Published: November 2022

Microalgae, the ocean’s primary producers, have proven a large capacity
for adaptation, but the implications for species interactions are rarely
examined. In a 2-year experiment, we exposed the marine diatom
Chaetoceros tenuissmus to warming and examined the responses of its
mutualistic bacterial community. The diatom adapted to warming by
increasing its temperature optimum and maximum growth rate, whereas the
microbiota increased its maximum growth rate without changing its
temperature optimum. Rhodobacteria dominated the diatom-associated
communities at ambient temperatures and this dominance did not diminish
under warming conditions. Extinctions occurred in low-abundance genera,
but under warming conditions, new partners appeared. The warming
consortium was stable when transplanted to ambient temperatures,
indicating a strong association. Duration of exposure to temperature
appeared relevant, highlighting the consequences of short-warming
events. Our results agree with predictions that long-term evolution of
asymmetric mutualistic associations increases strength and diversity,
particularly under warming.
Natural disasters generate heterogeneity in individual life histories
Authors: Diaz Alexis A , Steiner Ulrich K , Tuljapurkar Shripad , ZUO WENYUN , Hernández-Pacheco Raisa
Published: November 2022

Extreme climatic events may influence individual-level variability in
phenotypes, survival, and reproduction, and thereby drive the pace of
evolution. Here, we quantify how experiencing major hurricanes
influences individual life courses in the Cayo Santiago rhesus macaques.
Our results show that major hurricanes increase heterogeneity in
reproductive life courses despite an average reduction in mean fertility
and survival, i.e. shortened life courses. In agreement with this, the
population is expected to achieve stable population dynamics faster
after a hurricane. Our work suggests that natural disasters force
individuals into new niches to potentially reduce strong competition
during poor environments where mean reproduction and survival are
compromised. We also demonstrate that variance in lifetime reproductive
success and longevity are differently affected by hurricanes, and such
variability is mostly driven by survival.
Risk of liver injury after tigecycline therapy in China: real-world evidence based on large samples
Authors: zuo chengchun , Shi Xiaoping , Lv Qian , Li Xiao , Xu Qing
Published: November 2022

Abstract: Minor hepatic impairment might already exist before meeting
the diagnostic criteria for tigecycline-induced liver injury. To clarify
the process, we performed a retrospective study among 1054 adult
inpatients treated with tigecycline to evaluate characteristics of each
indicator for liver function tests (LFTs) during the course. Indicators
of LFTs contained serum alanine aminotransferase (ALT), aspartate
aminotransferase (AST), alkaline phosphatase (ALP),
gamma-glutamyltransferase (GGT), and total bilirubin (TB). Incidence of
each indicator abnormality and dynamic changes of severity grading
during the course were evaluated respectively. Multiple logistic
analysis was applied to identify independent risk factors associated
with abnormal LFTs. 798 patients were finally included. Values of first
and peak abnormalities were significantly increased compared with those
at baseline. Gender was considered an independent factor for abnormal
ALT (OR=0.544, P=0.001), AST (OR=0.652, P=0.012) and GGT (OR=0.582,
P=0.006). High maintenance dosage (100mg twice daily) and prolonged
duration (>14 days) were independent risk factors for
abnormal ALT, AST, ALP, and GGT (P=0.000 for all parameters).
Furthermore, surgery (OR=1.513, P=0.005) and abnormal baseline LFTs
(OR=1.372, P=0.037) were independent risk factors for abnormal TB. The
current study first depicted characteristics of abnormal LFTs during
tigecycline therapy, facilitating early detection of liver injury.
Concurrent immunotherapy and re-irradiation utilizing stereotactic body radiotherapy for recurrent high-grade gliomas
Authors: Mahase Sean , Roytman Michelle , O’Brien Diana Roth , Ivanidze Jana , Schwartz Theodore , Pannullo Susan , Ramakrishna Rohan , Magge Rajiv , Williams Nicholas , Fine Howard , Chiang Gloria , Knisely Jonathan
Published: November 2022

Background: Clinical trials evaluating immune checkpoint inhibition
(ICI) in recurrent high-grade gliomas (rHGG) report 7-20% 6-month
progression-free survival (PFS), while re-irradiation demonstrates
28%-39% 6-month PFS. Aims: We evaluate outcomes of patients treated
with ICI and concurrent re-irradiation utilizing stereotactic body
radiotherapy / fractionated stereotactic radiosurgery (SBRT) compared to
ICI monotherapy. Methods and Results: Patients
>18-years-old with rHGG (WHO grade III and IV) receiving
ICI+SBRT or ICI monotherapy between 1/1/16-1/1/19 were included. Adverse
events, 6-month PFS and overall survival (OS) were assessed. Log-rank
tests were used to evaluate PFS and OS. Histogram analyses of apparent
diffusion coefficient maps and dynamic contrast-enhanced magnetic
resonance perfusion metrics were performed. Twenty-one patients with
rHGG (ICI+SBRT: 16; ICI: 5) were included. The ICI+SBRT and ICI groups
received a mean 7.25 and 6.2 ICI cycles, respectively. There were five
grade 1, one grade 2 and no grade 3-5 AEs in the ICI+SBRT group, and
four grade 1 and no grade 2-5 AEs in the ICI group. Median PFS was 2.85
and 1 month for the ICI+SBRT and ICI groups; median OS was 7 and 6
months among ICI+SBRT and ICI groups, respectively. There were
significant differences in pre- and post-treatment tumor volume in the
cohort (12.35 vs. 20.51; p=0.03), but not between treatment groups.
Conclusions: In this heavily pretreated cohort, ICI with re-irradiation
utilizing SBRT was well tolerated. Prospective studies are warranted to
evaluate potential therapeutic benefits to re-irradiation with ICI+SBRT
in rHGG.
Integration of biosensors and deep learning for assessing food quality
Authors: han wei , Zhu Zhiyuan
Published: November 2022

With the rapid expansion of food trade, there is a growing concern about
health issues. As a result, consumer demand for high quality food is
increasing and food quality analysis has become a very important and
interesting area of research. The application of biosensors in food
analysis is promising because specific biosensors can be used to easily
access the nutritional composition inside food products, including
macronutrients, trace elements and other bioactive substances. Deep
learning includes many different types of artificial neural networks,
and convolutional neural networks can be used to extract external
features of food products from images, such as shape, size, color, etc.
Deep neural networks are able to generate predictive models using
different food properties. In this paper, we aim to show how to combine
biosensors and deep learning to assess food quality. We first focus on
the process of generating predictive models by deep neural networks and
the datasets required to train the models. Secondly, we focus on how to
use convolutional neural networks to extract external features of food
products and representative research work on biosensors for food
nutrient content analysis. Finally, the paper summarizes and looks at
the challenges and possible solutions of the approach in the field of
food quality assessment.
Pollinator's sex-specific visiting preference mediates competition and coexistence of co-flowering plants
Authors: Nakazawa Takefumi , Kishi Shigeki
Published: November 2022

Male and female pollinators often exhibit sex-specific preferences for
visiting different flowers. Recent studies have shown that these
preferences play an important role in shaping the network structure of
pollination mutualism, but little is known about how they can mediate
plant-plant interactions and population dynamics of competing plants.
Inter-plant competition occurs not only directly (e.g. for nutrients,
water, and habitats) but also indirectly through pollination. The
ecological consequences of sex-specific pollination can be complex. For
example, a plant favoured by female pollinators contributes to the
production of male pollinators, who may prefer visiting other competing
plants and intensify the negative effects of inter-plant competition.
Here, we analysed a simple two-plant-one-pollinator model with the sex
structure of the pollinator. We observed that (i) sex-specific
pollination can have complex consequences for inter-plant competition
and coexistence (e.g. the occurrence of non-trivial alternative stable
states in which one plant excludes or coexists with the other depending
on the initial conditions), (ii) male and female pollinators have
distinct ecological consequences because female pollinators have a
demographic impact owing to reproduction, and (iii) plants are likely to
coexist when male and female pollinators prefer different plants. These
results suggest that sex-specific pollination is crucial for competition
and coexistence of co-flowering plants. Future, pollination research
therefore should more explicitly consider the sex-specific behaviour of
pollinating animals.
Fuel Cell: Challenges and Roles of Artificial Intelligence for Performance Improvement
Authors: Dubey Pankaj Kumar , Singh Bindeshwar , Kumar Varun
Published: November 2022

Fuel cells are used in many applications, from personal use to energy
generation stations. The fuel cell 2
The entire system is
efficient at maximum and half load, scales to a variety of sizes, is
eco-friendly and has potentially comparable initial costs to
conventional technologies. Portable electricity, mobility, cogeneration
in buildings, and distributed electricity for utilities are promising
applications for fuel cells. The vital barriers to the money orientation
of fuel cells are pricing and longevity. We will talk about fuel cells,
the classification of fuel cells, fuel cell problems, and how artificial
intelligence can help improve the performance of fuel cells.
Power Electronic Circuit Fault Diagnosis Method Based on GADF and Channel Split Residual Network
Authors: Jiang Yuanyuan , Xie Jinyang
Published: November 2022

Power electronic circuits play an extremely important role in
industrial systems. Parametric failure of components in these circuits
are extremely prone to occur, which can easily evolve into catastrophic
failures with time. Hence fault diagnosis of circuits can avoid
catastrophic failures. In this paper, we propose a channel segmentation
residual network (CSRN) for circuit fault diagnosis, in which Gram
angular difference filed (GADF) is used to convert the original fault
signal into a two-dimensional feature map for input into the CSRN. The
channels of the input feature map are distinguished by selecting the
main working channels through a channel segmentation mechanism and a
Darwin selection mechanism for feature retention and deletion
operations. The diagnostic performance of the proposed method is
verified on the DC-DC circuit fault dataset, and the results show that
the proposed CSRN achieves 97.92% fault classification accuracy for
this circuit, which is 1.98%, 13.34% and 6.67% higher than other
models, respectively.
Exploring Grassroots Renewable Energy Transitions:	Developing a Community-Scale Energy Model
Authors: Codrington Lia , Haghi Ehsan , Moo Yi Kwang , McPherson Madeleine
Published: November 2022

Decarbonizing energy systems through the integration of decentralized renewable energy generators creates opportunities for community-scale actors to participate in energy system decision-making. However, typical modelling approaches exclude community stakeholders, causing a loss of local knowledge. This exclusion is problematic for Indigenous peoples in so-called Canada where the natural resource industry harms their land and communities. The Exploring Grassroots Renewable Energy Transitions (EGRET) platform introduced in this work presents an alternative to typical energy system modelling because it facilitates community participation throughout the model development and application process. This platform was developed in partnership with a local First Nation's energy specialist to assess whether solar panels could increase community energy sovereignty. The platform's user interface, visualization suite, and high-speed machine learning models make energy system modelling accessible to community members through interactive workshops. In the future, the EGRET approach could be generalized for stakeholder-led renewable energy exploration in other community settings.
Distribuição de medicamentos em serviço de saúde de um município do Rio Grande do Norte, Brasil
Authors: Ricardo de Paiva Cleyton , Mariz Batista Almária
Published: November 2022

Objetivo: Eficiência do gerenciamento da distribuição de medicamentos é fundamental para suprir necessidades desses produtos às unidades consumidoras, além de colaborar para o controle de recursos. Este trabalho objetiva analisar o processo de distribuição de medicamentos na atenção primária à saúde de Arez, RN. Método: Estudo descritivo, transversal, de caráter exploratório. Os dados foram coletados no almoxarifado central de uma unidade básica de saúde, por meio de roteiro de inspeção. Resultado: Percebeu-se que a unidade desenvolve atividades inerentes a uma central de abastecimento farmacêutico, além de dispensar medicamentos para pacientes abrangidos por sua área de cobertura, sendo responsável por toda logística de distribuição de medicamento do município. Apenas essa unidade possui farmacêutico responsável na farmácia. O município não dispõe de cronograma de distribuição de medicamentos, desta forma, não há data específica para solicitação de medicamentos. A falta de documentos padrão para registro e controle de atividades impossibilita a geração de relatórios aos gestores municipais. A farmácia desta UBS está mais qualificada para o armazenamento, pois há equipamentos e infraestrutura necessários à conservação destes produtos. Conclusão: Considerando a problemática, a elaboração de formulário padrão para solicitação de medicamentos/correlatos surge como proposta para contribuir não apenas com a logística de distribuição e como instrumento para melhoria da gestão da assistência farmacêutica. A avaliação do processo de distribuição de medicamentos indica que há disponibilidade de medicamentos, entretanto, são necessários investimentos em recursos humanos e físicos para torná-lo mais eficiente.