bluuebunny/crossref_metadata_2025 huggingface dataset:
Measuring Post-Disaster Accessibility to Essential Goods and Services: Proximity, Availability, Adequacy, and Acceptability Dimensions
Authors: Enderami S. Amin , Sutley Elaina , Helgeson Jennifer , Dueñas-Osorio Leonardo , Watson Maria , de Lindt John W. van
Published: January 2024

Rapid restoration of access to essential goods and services has long been regarded as paramount for community recovery. Yet, there remains ambiguity in how access should be defined, measured, or operationalized. Defining accessibility as the ability to use available goods and services with a reasonable effort and cost requires evaluating it across six dimensions (proximity, availability, adequacy, acceptability, affordability, and awareness) while considering the perspective of both users and providers in the evaluation. But common distance-based metrics that focus solely on physical access and travel time often fall short of fully capturing these requirements, overlooking the user's perception. This paper introduces a new spatio-temporal accessibility metric that combines four out of these six dimensions, including proximity, acceptability, adequacy, and availability. The metric considers uncertainty in measuring each dimension and addresses both user and provider perspectives in measuring the acceptability and adequacy dimensions. The variation in the metric across the disaster timeline serves as a proxy for community recovery. The metric aligns with common engineering-oriented functionality-based resilience frameworks as the functionality level of the providers has been incorporated in its development. Operating at the household level, the metric determines the ratio of post-disruption access time to the intended good or service against its pre-disruption access time and yields a unitless ratio between zero and one, with zero expressing a total loss in accessibility and one signifying the same level of accessibility as pre-disruption. The proposed metric, while being scientifically principled, is a practical tool whose output is easily understood even by non-expert individuals. The metric is illustrated for schools and pharmacies using the Lumberton Testbed and data collected following the 2016 flood in Lumberton, North Carolina after Hurricane Matthew. Findings provide new insight into recovery plan prioritization and can be used to trigger protective actions. The paper concludes by discussing issues and barriers related to developing and validating accessibility metrics while highlighting areas for future research.
Molecular detection of tick-borne pathogens from ticks infesting domestic ruminants in Malawi
Authors: Chikufenji Boniface , Chatanga Elisha , Mohanta Uday Kumar , Nkhata Madalitso , Stopher Dallion , Magombo Joe , Ceylan Onur , Umemiya-Shirafuji Rika , Thekisoe Oriel , Xuan Xuenan
Published: January 2024

This study examined ticks infesting ruminants and tick-borne pathogens (TBPs) they are carrying using polymerase chain reaction (PCR) and sequencing analysis. A total of 964 ticks were collected from cattle (n=202), goats (n=63) and sheep (n=16) in 11 districts of Malawi. Stereomicroscope and taxonomical keys were used to morphologically identify the ticks to species level, and PCR by amplifying and sequencing 12S rRNA and cytochrome c oxidase subunit I (COI) genes were used to confirm the species. PCR assays with species-specific primers were used to screen TBPs. The identified tick species were Rhipicephalus microplus (30.5%), R. appendiculatus (23.3%), R. decoloratus (13.2%), R. evertsi(9.8%), Hyalomma rufipes (7.5%), Amblyomma variegatum (6.3%), R. sanguineus (3.6%), H. truncatum (2.8%), R. simus (2.0%), R. pravus (0.6%), and R. annulatus (0.4%). Out of the total ticks, 37.0% were infected with at least one TBP, with Theileria parva making the majority (34.7%), followed by Anaplasma marginale (17.4%), Babesia bigemina (14.9%), A. ovis (11.2%), Ehrlichia ruminantium (9.2%), T. mutans (8.4%), B. bovis (2.2%) and A. bovis (2.0%). The present study reveals critical data on the distribution of tick species infesting ruminants in Malawi and TBPs they are carrying. Moreover, this study has pioneered genetic characterization of ruminant ticks in Malawi and overall data will contribute to formulation of improved ticks and TBPs control approaches.
A Bibliometric Analysis of Virtual Reality Applications in Anthropology between 2010 and 2023
Authors: Butilă Eugen Valentin , Burlacu Mihai , Boboc Răzvan Gabriel
Published: January 2024

As a relatively new technology that has gone through several iterations in the last decade, virtual reality (VR) applications have been used in a plethora of activities pertaining to various sciences, including anthropology. In this paper, we expound a bibliometric analysis of the reviews and research articles regarding the use of VR applications in anthropology between 2010 and 2023. The analysed publications were obtained from the Scopus database, and Microsoft Excel and VOSViewer were used to analyse the data. Utilizing bibliometric methods, the analysis encompasses a thorough examination of scholarly publications, identifying and scrutinizing prominent journals, prolific authors, affiliated institutions, and key research themes within the realm of VR applications in anthropology. The objective is to provide a systematic and insightful overview of the evolution, current state, and emerging trends in the integration of VR within the anthropological discourse, shedding light on the interdisciplinary nature and impact of this innovative technology on anthropological research and practice.
A new statistical training algorithm for single multiplicative neuron model artificial neural network
Authors: Gul Hasan Huseyin , Egrioglu Erol , Bas Eren
Published: January 2024

The single multiplicative neuron model has been frequently used by researchers in recent years, as it does not have a complex structure and does not include the hidden layer unit number problem, unlike many feed-forward artificial neural network models. The model of single multiplicative neuron model artificial neural networks does not have statistical assumptions just like in many artificial neural network models. Random error term is not used in the mathematical model of single multiplicative neuron model artificial neural networks. This situation is not acceptable considering that artificial neural networks work with random samples. Based on this idea, for the first time, by including a random error term in the single multiplicative neuron model artificial neural network model, mathematical equations of likelihood functions are given for Normal, Cauchy, Logistic, Gumbel and Laplace distributions. A new statistical training algorithm is proposed to obtain optimal weights and bias values of the network. In the new training algorithm, particle swarm optimization proposed by Kennedy and Eberhart (1995) is used in maximizing likelihood functions. In the performance evaluation of the proposed method, Nasdaq and S&P500 time series in different years are analyzed and the analysis results are compared with many artificial neural network models in the literature. Finally, it is concluded that the proposed method produces very successful forecasting results.
Cosine-Gaussian breathers controlled by the initial conditions in highly nonlocal media
Authors: Pan Peng , Xu Yun-Shi , Dai Zhi-Ping
Published: January 2024

The study delves into the behavior of cos-Gaussian breathers navigating through a highly nonlocal medium, with a spotlight on their width and intensity variations under different parameter adjustments. The mathematical formulas describing the characteristics of cos-Gaussian beam have been derived. By controlling the parameters, the transverse width of cos-Gaussian beams can exhibit various variations, reflecting various mode transformations. We scrutinized how alterations in cosine parameters, offset distance, and initial energy manifest in the breather’s width and shape during propagation. Our observations underscore the significant influence of these parameters on the dynamic evolution and morphology of cos-Gaussian breathers, thereby unveiling the potential application of using parameters to control the dynamic characteristics of cos-Gaussian beam transmission.
Screening of temperature-responsive signalling molecules during sex differentiation in Asian yellow pond turtle (Mauremys mutica)
Authors: Liu Xiaoli , Xu Haoyang , Peng Mingwei , Zhou Chenyao , Wei Chengqing , Hong Xiaoyou , Li Wei , Chen Chen , Ji Liqin , Zhu Xinping
Published: January 2024

Background
The Asian yellow pond turtle (Mauremys mutica) is an important commercial freshwater aquaculture species in China. The Asian yellow pond turtle is a highly sexual dimorphic species, with males growing at a faster rate than females. The Asian yellow pond turtle exhibits temperature-dependent sex determination (TSD), in which the incubation temperature during embryonic development determines the sexual fate. However, the mechanisms of the sex determination or sex differentiation of the Asian yellow pond turtle are remain a mystery.
Results
Here, we performed temperature-specific gonadal transcriptomics of the Asian yellow pond turtles during the thermosensitive period (stage 15) to identify candidate genes that initiate gonadal differentiation using RNA-seq technology. We uncover candidates that were the first to respond to temperature, they were sexually dimorphic in expression, reflecting differences in gonadal (Cirbp, Runx1) and germline differentiation (Vasa, Nanos1, Piwil2), gametogenesis (Hmgb3, Zar1, Ovoinhibitor-like, Kif4), steroid hormone biosynthesis (Hsd17b5, Hsd17b6), heat shock (Dnajb6, Hsp90b1, Hsp90aa1) and transient receptor potential channel genes (Trpm1, Trpm4, Trpm6, Trpv1).
Conclusions
Our work will provide crucial genetic information to elucidate the mechanisms of sex control in the Asian yellow pond turtles, and will contribute important genetic resources for further studies of temperature-dependent sex determination in turtles.
Inquiring of Aggression Based on Underlying Motivation and Personality Mechanisms in Aggressive Iranian Students: A Qualitative Study
Authors: Akbari Monireh , Taherifar Zahra , Farahani Hojatolah , Fallahinia Niloofar
Published: January 2024

Background
The term aggression, one of the persistent concerns of society, refers to any behavior seeking to harm another person, animal, or object. Violence and aggression remain pressing concerns in society, with forecasts indicating a significant rise by 2030. The purpose of the present study was to investigate aggression based on underlying motivations and personality mechanisms in aggressive Iranian students.
Methods
Eight adults (37.5% male) participated in the study. The Bass and Perry Aggression Questionnaire was completed by the participants as part of the screening process. A thematic content analysis was conducted in this study. In-depth interviews were carried out as well as open-coding inductive analysis.
Results
The underlying motivations of aggression were categorized into four major themes, including personal relationship improvement, self-stabilization, avoiding anger occurrence, and anger occurrence. Furthermore, the results revealed that five social, communicative, behavioral, cognitive, and emotional themes were recognized as personality factors playing a role in students' aggression.
Conclusions
Overall, the results obtained from the current research have led to a deeper understanding of students' aggression; Therefore, based on the identified themes, it is possible to recognize parts of underlying mechanisms of aggression and prepare appropriate interventions to reduce students' aggression. Future research should encompass a broader demographic and incorporate quantitative methods for causal exploration.
Improved 2DiffusionDet: The superior ability for sampling object detection boxes
Authors: Fei Teng , Wang Li , Li Wuzhi , Cui Huankang , Zhang Guowei
Published: January 2024

Proposals Average Precision (AP) of DiffusionDet relies on a random coverage of the object boxes and a redundant iterative evaluation strategy. In order for diffusion model to achieve more outstanding performance in object detection tasks, we propose a simple and efficient sampling strategy for detection boxes: Only Use Dynamic Head Once. That implementation is based on we propose a Deformable Sigmoid Variance Schedule to optimize the process of adding noise and sampling and also propose an Adjustable Sampling Strategy to reduce the randomness of sampling results. Through that two methods combined we can choose to apply fewer timesteps to the process of adding noise and sampling and get the model achieves better sampling results with a shorter number of iterations, also in this way to alleviate the model's difficulty in learning to sample sparse and discrete Ground Truth(GT) boxes information. Our model gets a sizable performance improvement over DiffusionDet. For example, the same and even beyond AP was achieved by applying half the number proposals(random boxes) based on DiffusionDet in detecting the VOC dataset, meanwhile with Timesteps=50, we outperformed DiffusionDet by 6.0 AP. A 0.4 AP improvement was obtained based on the COCO dataset and in the same ablation experiments. This work which to have certain extent solved the disadvantage of the low distribution density of GT boxes information in Proposals, which makes it difficult for the model to learn to sample.
SARS-CoV-2 vaccination during pregnancy enhances hippocampal neurogenesis and working memory in offspring through IFN-gamma and CX3CR1-dependent mechanisms
Authors: Qi Fangfang , Yao Zhibin
Published: January 2024

The worldwide Coronavirus disease 2019 (COVID-19) pandemic affects the world, and prenatal COVID-19 infection is associated with severe adverse outcomes. Thus, both for safety and immunogenicity, the COVID-19 vaccination is strongly recommended for pregnant women. Specifically, this study examines how maternal COVID-19 vaccination affects postnatal physical development, neurogenesis, and behavior in pups. We successfully detected a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-specific antibody in the plasma of vaccinated dams and their pups when inactivated COVID-19 vaccine (Vero Cell) was administered at gestational day 14.5. At the age of 1 month, pups from pregnant mice receiving the SARS-CoV-2 vaccine displayed increased proliferation, neuroblasts, neuronal stem cells, and mature neurons in the dentate gyrus (DG) and enhanced working memory. Luminex multiplex assay showed that elevated levels of hippocampal cytokines/chemokines, including interferon-γ (IFN-γ) and CX3C motif chemokine ligand 1 (CX3CL1), which are crucial for neurogenesis and memory function. Mechanistically, using conditional knockout technology, we identify microglial IFN-γ receptor 1 (IFNγR1) and CX3C motif chemokine receptor 1 (CX3CR1), as crucial intercellular participants, in the neuronal developmental process via regulating microglial activation and microglial chemotaxis, respectively. We propose that maternal SARS-CoV-2 vaccination appears to enhance hippocampal neurogenesis and working memory in offspring underlying the mechanism of microglia-proliferating neuron interaction.
A Pilot Case-Control Study: Epigenetic Age Acceleration in Psoriasis
Authors: Macit Betul , Ragi Sara D , Moseley Isabelle , Molino Janine , McGeary John E , Horvath Steve , Qureshi Abrar , Reginato Anthony , Cho Eunyoung
Published: January 2024

Psoriasis (PsO) is a chronic inflammatory skin condition, often accompanied by psoriatic arthritis (PsA) and linked to various comorbidities and increased mortality rates. This study aimed to explore the relationship between PsO and accelerated biological aging, specifically focusing on epigenetic DNA methylation clocks. Using a matched case-control design, 20 PsO cases were selected along with age, race, and sex-matched 20 controls without PsO from the Skin Disease Biorepository at Brown Dermatology, Inc, Providence, Rhode Island. Blood samples retrieved from both groups were analyzed for DNA methylation, and epigenetic ages were calculated using DNA methylation clocks, including Horvath, Hannum, Pheno, SkinBlood, and Grim ages. Generalized estimation equations were employed to test the differences in epigenetic and chronological ages between PsO cases and controls, as well as within various subgroups in comparison to their respective controls. There were no statistically significant differences in epigenetic ages between PsO cases and controls. However, notably, PsO cases with PsA demonstrated an accelerated PhenoAge, compared to their matched controls. This study represents a pioneering investigation into the potential link between PsO and epigenetic aging, shedding light on the possibility of accelerated epigenetic aging in PsA, possibly associated with heightened inflammatory burden. These findings emphasize the systemic impact of PsA on the aging process, prompting the need for deeper exploration into autoimmune pathways, inflammation, and epigenetic modifications underlying PsO pathogenesis and aging mechanisms. Larger-scale studies with diverse populations are imperative to discern PsO subgroups experiencing accelerated biological aging and decipher the intricate interplay between PsO, inflammation, and aging pathways.
Optimizing seasonally variable photosynthetic parameters based on joint carbon and water flux constraints
Authors: Leng Jiye , Chen Jing M. , Li Wenyu , Luo Xiangzhong , Rogers Cheryl , Croft Holly , Xie Xinyao , Staebler Ralf M.
Published: January 2024

Terrestrial biosphere models (TBMs) often adopt the Farquhar biochemical model coupled with the Ball-Berry stomatal conductance (\({g}_{s}\)) model to simulate ecosystem carbon and water fluxes. The parameters \(m\), representing the sensitivity of \({g}_{s}\) to the photosynthetic rate, and \({V}_{cmax}^{25}\), representing the leaf photosynthetic capacity, are two pivotal parameters but the two main sources of uncertainties in TBM simulations. The spatial and temporal variations of \(m\) in TBMs are still elusive, due to the lack of direct observations. It also remains unclear how accurate estimates of \(m\) and \({V}_{cmax}^{25}\) can improve the simulations of carbon and water fluxes. In this study, we used a Bayesian parameter optimization approach to infer seasonally varying \(m\) and \({V}_{cmax}^{25}\) from eddy covariance observations in a mixed forest stand at the Borden Forest Research Station located in southern Ontario, Canada, and used in-situ observations of \(m\) and \({V}_{cmax}^{25}\) for validation. Three strategies were tested for optimizing \(m\) and \({V}_{cmax}^{25}\), including the carbon, water, and carbon-water coupling scenarios. \(m\) and \({V}_{cmax}^{25}\) optimized from carbon-water coupling constraints shows best correlations with the measured \(m\) (R2 = 0.70) and \({V}_{cmax}^{25}\) (R2 = 0.70). By incorporating optimized \(m\) and \({V}_{cmax}^{25}\)with seasonal variations, we found considerable improvements in the estimated gross primary productivity (GPP) and evapotranspiration (ET) compared with constant \(m\) and \({V}_{cmax}^{25}\), with R2 increasing from 0.78 to 0.85 for GPP, from 0.65 to 0.71 for ET and RMSE reducing from 2.579 g C m− 2 d− 1 to 2.038 g C m− 2 d− 1 for GPP, from 1.151 mm d− 1 to 0.137 mm d− 1 for ET. This study proposes an effective approach to retrieve \(m\) and \({V}_{cmax}^{25}\) for TBMs and demonstrates the efficacy of incorporating seasonally variable \(m\) and \({V}_{cmax}^{25}\) for reducing the uncertainties in GPP and ET simulations, which supports accurate quantifications of land-atmosphere exchanges.
Cultural Representations of the New Wave in Yugoslavia 40 Years Later
Authors: Ajduk Marija
Published: January 2024

This study is dedicated to the analysis of cultural perceptions of the New Wave (musical movement) within the Yugoslav context in the past decade (up to the 2020s). The observance of a particular anniversary brings forth a multitude of meanings ascribed to the event through recollections and nostalgic narratives. Inspired by Bennett and Rogers' theoretical insights in "Popular Music Scenes and Culture of Memory" (2016) regarding "memory bursts" in creating and consuming popular music, the primary objective was to explore how the narrative of the New Wave is currently constructed. Through an analysis of various events organized in the former Yugoslavia over the past decade, revolving around the New Wave, this study aims to identify cultural perceptions of this phenomenon as well as to highlight its recurring and repetitive key elements. Each analyzed event received media coverage, thus making online sources a fertile resource base for this research.
Analysis The Influence of Visitor Motivation on Visitor Satisfaction and Its Impact on Revisit Intention at Hype Pantai Indah Kapuk
Authors: Sandro Aritonang Gio
Published: January 2024

The development of the times provides changes in consumer behavior in keeping with current trends. In Indonesia, thematic bazaar is a trend that is quite popular where it is indicated by the number of thematic bazaars that have sprung up today, one of which is Hype Pantai Indah Kapuk. The purpose of this study is to determine the effect of Visitor Motivation to Visitor Satisfaction and its impact on re-visit intention on Hype Pantai Indah Kapuk. The method of analysis of the study using anaylsis path with a sample of 100 respondents in Jakarta. The result of this research shows that there is influence of Visitor Motivation to Visitor Satisfaction at Hype Pantai Indah Kapuk, there is influence of Visitor Motivation towards Revisit Intention on Hype Pantai Indah Kapuk, there is no influence of Visitor Satisfaction toward Revisit Intention on Hype Pantai Indah Kapuk, and there is influence of Visitor Motivation and Visitor Satisfaction towards Revisit Intention on Hype Pantai Indah Kapuk.
The Influence of Social Media Communication Created By The Company, Brand Equity, Brand Attitude On The Purchase Intention of Gt.Radial Tire Products
Authors: Wijaya Vendy
Published: January 2024

The Purpose of this research is to find out the effect between Firm-Created Social Media Communication on Brand Equity and Brand Attitude which influence Purchase Intention on GT Radial product. The population of this research is the people whose liked the GT Radial Indonesia Facebook fanpage, which is 51.715 people. The method used for collecting data is using a questionnaire with 396 respondents using the Slovin method. The analysis method used for this research is Structural Equation Modeling (SEM). The purpose for using this method is to help assess the measurement properties and test the proposed theoretical relationships by using a single technique. The research methodology used in this research is Quantitative because it will be measurable and systematic to collect data or information that can be used to achieve the purpose of research. The result is between every variable, they have a significant effect. Except Brand Equity variable didn’t have a significant effect on Purchase Intention and can’t be used as mediation variable. The conclusion of this research is that the variable used for mediating between Firm-Created Social Media Communication and Purchase Intention can be replaced by trust variable.
Com (ou sem) licença, estou chegando! (re)visitando itinerários de pesquisa e (re)desenhando práticas de gestão de pessoas para o teletrabalho
Authors: Melo Tatiane Alves de , Demo Gisela , Caneppele Nairana Radtke
Published: January 2024

A perspectiva do teletrabalho foi revigorada durante a pandemia e com a utilização das tecnologias de informação e comunicação (TICs), somadas à flexibilidade, reivindica mudança organizacional, especialmente, a partir da atuação da Gestão de Pessoas (GP). Neste sentido, o presente artigo se propôs analisar o estado da arte na temática de práticas de gestão de pessoas no contexto do teletrabalho. Trata-se de um estudo com fins descritivos, de natureza qualitativa, utilizando análises bibliométricas, para suportar a revisão sistemática da literatura aqui proposta. Realizou-se um levantamento na base Web of Science, sem recorte temporal. Após a efetivação do protocolo, optou-se pela utilização dos softwares RStudio e VOSviewer para a execução das análises bibliométricas. Três clusters de pesquisa distintos foram agrupados: (1) relação entre as práticas de gestão de pessoas e os novos arranjos flexíveis de trabalho; (2) paradoxo indivíduo-organização quando o teletrabalho é experienciado; e (3) o papel das práticas de gestão de pessoas no contexto do teletrabalho. Constatou-se que o campo de estudos em práticas de gestão de pessoas no contexto de teletrabalho é marcado pela urgência na atualização das pesquisas e propostas que produzam transformações e priorizem o real vivido pelos teletrabalhadores, organizações e sociedade. Se antes da crise pandêmica global, novos arranjos de trabalho flexíveis já anunciavam cenários auspiciosos, embora desafiadores para a gestão, de agora em diante eles vieram para se estabelecer como alternativas efetivas de rearranjo de trabalho, resguardadas as especificidades culturais de cada organização.
GENÇ HANS HOLBEIN’IN BAZI ESERLERİNDE “MEMENTO MORİ” KAVRAMI
Authors: KARAKURUM Deniz
Published: January 2024

Ölüm, insanlık tarihinin başlangıcından bu yana insanlar tarafından değerlendirilen, diğer varoluşsal sorunlarla birlikte anlamlandırılmaya çalışılan bir olgu olmuştur. Hayata dair her şeyde olduğu gibi ölüm de insanın yaşamına yön vermiş, insanın ortaya çıkardığı sanat eserlerine yansımıştır. Memento Mori, “Ölümü hatırla” veya “Ölümlü olduğunu hatırla” anlamlarına gelen Latince bir deyiştir. Antik Çağ kadar erken bir dönemde dahi karşımıza çıkan Memento Mori ve ona dair semboller hâlâ günümüzde sanatçılar tarafından kullanılmaya devam edilmektedir. Kavram, eserlere genel olarak ölümü sembolize eden kafatası, iskelet, kanatlı iskelet, kum saati vb. şeklinde yansımıştır. Memento Mori tarih boyunca çeşitli biçimlerde sanat eserlerine yansımış olsa da gerçek anlamda popülarite kazanması Rönesans Dönemi’nde gerçekleşmiştir. Bu çalışmada Kuzey Rönesansı’nın önemli sanatçılardan olan Genç Hans Holbein’ın eserlerinde yer verdiği Memento Mori kavramına yaklaşımı ve yorumlama biçimi ele alınmış ve değerlendirilmiştir. Çalışma için sanatçının kavramı en iyi temsil ettiği düşünülen eserlerinden bazı örnekler seçilerek incelenmiştir.
Sound radiation patterns of the Sarasvati Veena and their relation with the modal behavior of its top plate
Authors: Chauhan Chandrashekhar , Singru Pravin , Vathsan Radhika
Published: January 2024

The large wooden resonator of the Sarasvati Veena amplifies and radiates the sound in almost all directions. The directional and spatial dependence of this radiation is studied in conjunction with the mode shapes of the top plate of the resonator. Sound radiation patterns are simulated theoretically using the nodal displacement data obtained from the numerical modal analysis of the resonator. The experimental analysis involves the manual plucking of the Veena string. The radiated sound is recorded by placing microphones around the resonator in circular arrays of different radii in the different planes. These combinations of arrays at different distances and planes provide a thorough knowledge of sound radiating out of the resonator. The intensities of different frequencies in the recorded spectral data as functions of direction and distance from the approximate center of the top plate of the resonator are studied. Experimentally measured patterns show the importance of the top plate over the body of the resonator. Theoretical and experimental radiation patterns for different harmonics of the plucked string are compared and a good match is observed. The behavior of the radiating sound in the different planes at different radial distances from the assumed center is discussed.
We have never been Latourians!
Authors: Müller Fernando Suárez
Published: January 2024

: In his works on ecological philosophy, Bruno Latour develops an interesting ontology. He proposes a new worldview, in which religion is reinterpreted in view of a Gaian philosophy. He extends ‘pluralism’ beyond the anthropocentrism that dominates modern humanism. In his book Facing Gaia Latour includes nonhuman beings in a larger community and works towards a larger concept of eco-humanism. In this paper, I try to reconstruct his position by showing that the philosophical foundation for his interpretation of ontology is to be classified as a form of new materialism. This new interpretation of materialism has postmodernist origins (inspired by Gilles Deleuze), but it is not identical to it, because Latour explicitly distances himself from ‘postmodernism’. He wants to contribute to a ‘positive’ ontology. My point is that Latour’s materialist grounding of ontology, which he tries to elaborate in order to make a religious pluralism possible, obstructs any foundation of transcendence and, finally, congests a pluralistic ecumene, because it renounces to the idea of the ‘whole’ and a unitary principle of being. His ideas on eco-humanism and pluralistic ecumene could gain momentum if we opted for a more holistic and idealistic way of thinking. In my last section I show how this is possible: objective idealism and panentheism are conceived as models that belong together and can offer a viable alternative for modern versions of materialism.
INOVAÇÕES TECNOLÓGICAS E OS SEUS IMPACTOS NA TRANSFORMAÇÃO DO GOVERNO DIGITAL
Authors: Oliveira Gomes Hermes , Camargo Maria Emília
Published: January 2024

Muitas organizações públicas e privadas estão cada vez mais sendo desafiadas a implementar soluções tecnológicas em suas rotinas operacionais, muitas recentemente pela influência de fatores externos como foi a caso da covid-19, outras a fim de modernizar seus processos e serviços internos com soluções mais eficientes para o usuário. Neste sentido, em muitos países, governos têm implementado processos de transformações tecnológicas e digitais a fim de modernizar e dinamizar a prestação de serviços para com os cidadãos, buscando redução de custo e melhoria na eficiência dos serviços. Essa pesquisa visa identificar as ferramentas de transformação digital e seus impactos nas iniciativas de políticas públicas do governo digital. Para isso, usa-se uma técnica de mapeamento sistemático de revisão de literatura. Como resultado, constata-se que as pesquisas sobre governo digital vêm crescendo ao longo do tempo, sendo mais recorrente a publicação de artigo em revistas especializadas, como é o caso da Government Information Quarterly, IEEE Access, Digital Government: Research and Practice, entre outros.  Entre as principais tecnologias usadas, destaca o Big Data, Inteligência Artificial, Internet das Coisas, assim por diante. Já relacionado às pessoas, o trabalho identificou que a falta de conhecimento das pessoas e a falta de recursos são uns dos principais entraves na implementação das políticas públicas do governo digital.
Potential Impact of Bioactive Compounds as NLRP3 Inflammasome
Inhibitors: An Update
Authors: Singh Sonia , Sharma Shiwangi , Sharma Himanshu
Published: January 2024

The inflammasome NLRP3 comprises a caspase recruitment domain, a pyrin domain
containing receptor 3, an apoptosis-linked protein like a speck containing a procaspase-1, and an
attached nucleotide domain leucine abundant repeat. There are a wide variety of stimuli that can
activate the inflammasome NLRP3. When activated, the protein NLRP3 appoints the adapter
protein ASC. Adapter ASC protein then recruits the procaspase-1 protein, which causes the procaspase-
1 protein to be cleaved and activated, which induces cytokines. At the same time, abnormal
activation of inflammasome NLRP3 is associated with many diseases, such as diabetes,
atherosclerosis, metabolic syndrome, cardiovascular and neurodegenerative diseases. As a result,
a significant amount of effort has been put into comprehending the mechanisms behind its
activation and looking for their specific inhibitors. In this review, we primarily focused on phytochemicals
that inhibit the inflammasome NLRP3, as well as discuss the defects caused by
NLRP3 signaling. We conducted an in-depth research review by searching for relevant articles
in the Scopus, Google Scholar, and PubMed databases. By gathering information on phytochemical
inhibitors that block NLRP3 inflammasome activation, a complicated balance between inflammasome
activation or inhibition with NLRP3 as a key role was revealed in NLRP3-driven
clinical situations.
Therapeutic Potential of Capsaicin in Various Neurodegenerative Diseases
with Special Focus on Nrf2 Signaling
Authors: Varshney Vibhav , Kumar Abhishek , Parashar Vikas , Kumar Ankit , Goyal Ahsas , Garabadu Debapriya
Published: January 2024

abstract:

Neurodegenerative disease is mainly characterized by the accumulation of misfolded
proteins, contributing to mitochondrial impairments, increased production of proinflammatory
cytokines and reactive oxygen species, and neuroinflammation resulting in synaptic loss and
neuronal loss. These pathophysiological factors are a serious concern in the treatment of neurodegenerative
diseases. Based on the symptoms of various neurodegenerative diseases, different
treatments are available, but they have serious side effects and fail in clinical trials, too. Therefore,
treatments for neurodegenerative diseases are still a challenge at present. Thus, it is important
to study an alternative option. Capsaicin is a naturally occurring alkaloid found in capsicum.
Besides the TRPV1 receptor activator in nociception, capsaicin showed a protective effect
in brain-related disorders. Capsaicin also reduces the aggregation of misfolded proteins, improves
mitochondrial function, and decreases ROS generation. Its antioxidant role is due to increased
expression of an nrf2-mediated signaling pathway. Nrf2 is a nuclear erythroid 2-related
factor, a transcription factor, which has a crucial role in maintaining the normal function of mitochondria
and the cellular defense system against oxidative stress. Intriguingly, Nrf2 mediated
pathway improved the upregulation of antioxidant genes and inhibition of microglial-induced
inflammation, improved mitochondrial resilience and functions, leading to decreased ROS in
neurodegenerative conditions, suggesting that Nrf2 activation could be a better therapeutic approach
to target pathophysiology of neurodegenerative disease. Therefore, the present review
has evaluated the potential role of capsaicin as a pharmacological agent for the treatment and
management of various neurodegenerative diseases via the Nrf2-mediated signaling pathway.
An Update on Dipeptidyl Peptidase-IV Inhibiting Peptides
Authors: Sivaraman Sachithanantham Annapoorani , Sabareesh Varatharajan
Published: January 2024

Diabetes is a chronic metabolic disorder. According to the International Diabetes Federation,
about 537 million people are living with diabetes. The two types of diabetes are type 1 diabetes
mellitus (T1DM) and type 2 diabetes mellitus (T2DM), among which the population affected by
T2DM is relatively higher. A major reason for T2DM is that insulin stimulation is hampered due to
the inactivation of incretin hormones. Dipeptidyl peptidase-IV (DPP-IV) is a serine protease that is
directly involved in the inactivation of incretin hormones, e.g., glucagon-like peptide-1 (GLP-1).
Therefore, the inhibition of DPP-IV can be a promising method for managing T2DM, in addition to
other enzyme inhibition strategies, such as inhibition of α-amylase and α-glucosidase. Currently,
about 12 different gliptin drugs are available in the market that inhibit DPP-IV in a dose-dependent
manner. Instead of gliptins, ‘peptides’ can also be employed as an alternative and promising way to
inhibit DPP-IV. Peptide inhibitors of DPP-IV have been identified from various plants and animals.
Chemically synthesized peptides have also been experimented for inhibiting DPP-IV. Most peptides
have been analysed by biochemical assays, whereas some in vitro assays have also been reported.
Molecular docking analysis has been applied to comprehend the mechanism of inhibition. In this
review, certain aspects of natural as well as synthetic peptides are described that have been proven
to inhibit DPP-IV.
Pulmonary Arterial Hypertension (PAH) Group 1 (Part A): Overview,
Classification, Clinical Subsets, and Workup
Authors: Yaqoob Maidah , DeCato Thomas W. , Oudiz Ronald
Published: January 2024

Pulmonary hypertension is a rare, progressive disease characterized by increased pulmonary
arterial pressure and right ventricular failure due to pulmonary vascular remodeling. The
disease definition and management have evolved over time. The 6th WSPH now defines it as a
mean pulmonary arterial pressure >20mmHg, while recent ESC/ERS guidelines recommend lowering
the threshold for pulmonary vascular resistance to 2WU.

:

Understanding of the disease has improved through registries, classifying it into five distinct
groups with similar histology, pathophysiology, and therapeutic approaches. These groups include
PAH, with heritable and idiopathic causes, as well as various clinical subsets involving connective
tissue disease, HIV, portopulmonary hypertension, congenital heart disease, and schistosomiasis.
Long-term responders to calcium channel blockers, PAH with venous/capillaries involvement,
and persistent PH of newborns are categorized under Group 1, now re-classified as IPAH.

:

A comprehensive workup for suspected patients includes various tests like electrocardiogram, pulmonary
function testing, autoimmune workup, HIV testing, echocardiogram, right heart catheterization,
and cardiopulmonary exercise testing.

:

This review emphasizes the disease's definition and epidemiology, delving into each subset and
providing updated workup guidelines. The subsequent article will focus on risk stratification and
treatment strategies.
Exploring the Therapeutic Marvels: A Comprehensive Review on the
Biological Potential of Quinoline-5,8-Dione
Authors: Agrawal Neetu , Bansal Dimple , Pathak Shilpi
Published: January 2024

Quinoline-5,8-diones, also referred to as 5,8-quinolinediones or quinolinequinones, have
been researched extensively for their antiproliferative effects, where they displayed great results.
Other than anticancer, they exhibit multiple activities such as antimalarial, antiviral, antibacterial,
and antifungal activities. Natural quinolinequinones have also been known for their significant
activities. The review highlights the diverse biological activities exhibited by synthetic quinoline-
5,8-diones over the past two decades. Continued research in this field is warranted to fully exploit
the therapeutic potential of these intriguing compounds and their derivatives for future drug development.
By comprehensively evaluating the therapeutic applications and biological activities of
quinoline-5,8-dione derivatives, this review endeavors to provide researchers and practitioners with
a valuable resource that will foster informed decision-making and inspire further investigations into
harnessing the immense potential of this intriguing scaffold for the benefit of human health.
A Novel Polytope Algorithm based On Nelder-mead Method for
Localization in Wireless Sensor Network
Authors: Gumaida Bassam , Ibrahim Adamu Abubakar
Published: January 2024

Background and Objective:

Magnificent localization precision and low operating expenses
are the main keys and essential issues to managing and operating outdoor wireless sensor
networks. This work proposes a novel and rigorous efficiency localization algorithm utilizing a simplex
optimization approach for node localization. This novel optimization method is a direct search
approach, and is usually directed to solve nonlinear optimization problems that may not have wellknown
derivatives, and it is called the Nelder-mead Method (NMM).

Methods:

It is suggested that the objective function that will be optimized using NMM is the mean
squared error of the range of all neighboring anchor nodes installed in the studied WSNs. This paper
emphasizes employing a ranging technique called Received Signal Strength Indicator (shortly RSSI)
to calculate the length of distances among all the nodes of WSNs.

Results:

Simulation results perfectly showed that the suggested localization algorithm based on
NMM can carry out a better performance than that of other localization algorithms utilizing other optimization
approaches, including a particle swarm optimization, ant colony (ACO) and bat algorithm
(BA). This obviously appeared in several metrics of performance evaluation, such as accuracy of localization,
node localization rate, and implementation time.

Conclusions:

The proposed algorithm that utilized NMM is more functional to enhance the precision
of localization because of particular characteristics that are the flexible implementation of NMM and
the free cost of using the RSSI technique.
The Psychological Health and Professional Well-being of Operators
Working with Forced Migrants in Italy: A Cross-sectional
Epidemiological Study
Authors: Tessitore Francesca , Caffieri Alessia , Giordano Claudia , Celia Giovanna , Margherita Giorgia
Published: January 2024

Although the related dimensions of professional quality of life, secondary traumatic
stress, and emotion regulation have been widely investigated in the field of helping
and healthcare professionals, these dimensions combined have scarcely been explored in
the field of workers with forced migrants. The aims of the present study are twofold. First,
it aims to investigate the prevalence of secondary traumatic stress levels, emotion regulation,
burnout, and compassion satisfaction in professionals working with forced migrants
in Italy. Second, it aims to explore the associations between some socio-demographic and
work-related characteristics and the psychological health and professional well-being status
of professionals. An online survey was administered via Google Modules to the Italian
associations and Third Sector entities working in the field of forced migration from May
2021 to March 2022. A total of 264 professionals (mean age: 39.9; 76.1% females) responded
to the survey. On the background of good levels of psychological health and professional
well-being, significant differences emerged in mental health status and professional
quality of life related to professional roles, age, gender, and geographic provenience.
Understanding the psychological health and professional well-being of those working with
asylum seekers and refugees is crucial in providing appropriate supportive healthcare interventions
which might be able to take care of professionals’ well-being as well as of their
beneficiaries themselves.
Ayurvedic management of Shwitra (Vitiligo) with special reference to Twak Sharir - A Case Study
Authors: Karnwal S.  , Sharma G.  , Sokiya G.
Published: January 2024

Introduction: In Ayurveda, 'Twacha' or 'Charma' refers to the skin, and skin-related disorders fall under the broad category of 'Kushtha.' Among these conditions, 'Shwitra' stands out, marked by whitish discolorations on the skin. Shwitra's origins lie in the intricate interplay of seven essential bodily constituents, known as Sapta Dravyas: Vata, Pitta, Kapha, Rasa, Rakta, Mamsa, and Meda. Remarkably, Shwitra primarily manifests its enigmatic presence within the innermost stratum of the skin, known as 'Tamra.' This inner sanctum of the epidermis is held in high regard as the principal locus of Shwitra's affliction. It bears an intriguing resemblance to the more widely recognized condition known as Vitiligo, a dermatological anomaly characterized by hypopigmentation. This puzzling condition, Vitiligo, afflicts approximately 1% of the global population, adding a layer of complexity to our understanding of the intricate workings of the human integumentary system. Methodology: In this clinical case, a 43-year-old male presented with de-pigmented patches in the left buccal region, characterized by mild pruritus but the absence of any burning sensation. The therapeutic approach commenced with the administration of Shamana Aushadis, specifically targeted at symptom alleviation. The primary objective was to address the root pathology and facilitate the patient's overall recovery and well-being. Result: The patient responded well to Shamana Aushadis. Progress was assessed using subjective and objective criteria, employing a comprehensive approach to evaluate the treatment's effectiveness.
Safety profile between fluoxetine and sertraline as antidepressants for pregnant women with depression disorder
Authors: Dewa Ayu Sri Handani  , Mustikawati Maria Sri Ayu , Parwatininghati Ni Putu , Zulkarnaen  , Akuba Jusnita
Published: January 2024

Depression disorders are common in women of productive age, especially during pregnancy and peripartum period. Making a decision on the choosing of antidepressants is associated to the biggest concern about the risk of birth defects and major anomalies of their exposure. Decisions of antidepressant use not only involve considering the risks of medications exposure, but also the risks of untreated depression during pregnancy. Evaluation of the safety profile of selective reuptake inhibitors (SSRIs) which are commonly prescribed during pregnancy therefore urgently needed. This review aimed to compare two widely used SSRIs i.e. fluoxentine and sertraline as antidepressants for pregnant women with depression disorder. It is found that sertraline has more positive effects and more safe. Sertraline is well tolerated in pregnant women and breastfeeding mothers with depression disorder.
Safety monitoring of chloroquine and hydroxychloroquine in COVID-19 patients in Indonesia on QT prolongation: hospital based monitoring study
Authors: Jarir At Thobari  , Togi Junice Hutadjulu  , Tri Asti Isnariani  , Umi Sa'adatun Nikmah  , Lukman Ade Chandra  , Pompini Agustina Sitompul  , Anggoro Budi Hartopo  , Rizki Amalia Gumilang  , Luhur Pribadi  , Deva Bachtiar  , Anwar Santoso
Published: January 2024

Chloroquine (CQ) and Hydroxychloroquine (HCQ) are the challenging drugs used for COVID-19. Several studies show its beneficial, however, both medications can prolong the QTc interval and increase the risk of patients for torsades de pointes and death. The Tisdale score is identified to have successfully predicted the at-risk population of side effects of these drugs. This study aim to evaluate the QT prolongation caused by the administration of chloroquine and hydroxychloroquine in COVID-19 patients and the association with the treatment outcomes based on their Tisdale score. We conducted an observational study on 213 hospitalized patients with confirmed or suspect COVID-19 in 6 referral hospitals in Indonesia. All baseline demographic such as age and gender, RT-PCR test result, severity of disease, history of cardiovascular disease (myocardial infarction, heart failure, hypertension), serum kalium level at baseline, and the use of medication associated with risk QTc interval prolongation were collected. The Tisdale risk score was used for predicting high-risk patients for QT corrected (QTc) interval prolongation.  Out of 213 patients who were treated with CQ/HCQ, there were 60 (28.2%) patients had QTc interval prolongation, included 43 patients (20.2%) who had normal QTc interval at baseline and at the end of treatment had prolong interval; or 17 patients (8.0%) who had QTc interval more than 470 msec at baseline and QTc interval prolongation was worsen at the end of treatment. Several factors, including age more than 50 years, COVID-19 confirm PCR, and had comorbidity heart failure, were statistically significant associated with QTc interval prolongation. The high-risk score of Tisdale score have increased risk significantly on QTc interval prolongation (RR: 2.15, 95%CI 1.07-4.32) and associated with risk of death (RR: 3.50, 95%CI 1.34-9.13) compared to low-risk score. Our findings showed that the treatment of CQ/HCQ in COVID-19 patients is associated with QTc prolongation. The Tisdale score can be used as a valuable tool to predict the COVID-19 patients’ outcome after treatment of these QTc-prolonging drugs.