bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigating the effect of a zeolitic imidazolate framework, ZIF-8, on the phase transition and thermal decomposition of ammonium nitrate
Authors: Kazemshoar-Duzduzani R. , Mousaviazar A. , Ghani K. , Jafari M. 
Published: September 2023

Abstract
Ammonium nitrate (AN) is a well-known energetic material that is used as a chlorine-free oxidizer for substituting the ammonium perchlorate in composite and gas generators propellants. In this work, the phase transitions and the thermal decomposition of AN was investigated under the influence of a zeolitic imidazolate framework (ZIF-8). Different percentages of AN/ZIF-8, i.e., 0.95:0.05, 0.9:0.1, and 0.85:0.15, were prepared by the solvent and mechanical methods, and their phase transition and thermal decomposition have been studied by TG-DSC. To investigate the interactions between AN and ZIF-8, the UV–Vis-DRS, XRD, and FT-IR techniques were used. Accordingly, ZIF-8, despite its low weight percentage, stabilized the AN up to 125°C and improved its thermal decomposition behavior. In addition, the catalytic combustion of AN/ZIF-8 species showed exothermic peaks. Moreover, the results showed that ZIF-8, due to its Lewis acid-base sites as well as the porous structure, could be stated as an excellent catalyst that improves the AN thermal decomposition and removes its inappropriate phase transitions.
Dissimilar accumulation of human β-amyloid and tau from enriched extracts in neuronal and endothelial cells
Authors: Rabanal-Ruiz Yoana , Pedrero-Prieto Cristina M , Sanchez-Rodriguez Lucía , Flores-Cuadrado Alicia , Saiz-Sanchez Daniel , Frontiñan-Rubio Javier , Ubeda-Bañon Isabel , Duran-Prado Mario , Martinez-marcos Alino , Peinado Juan R 
Published: September 2023

Abstract

BACKGROUND: While Aβ and Tau cellular distribution has been largely studied, the comparative internalization and subcellular accumulation of Tau and Aβ isolated from human brain extracts in endothelial and neuronal cells has not yet been unveiled. We have previously demonstrated that controlled enrichment of Aβ from human brain extracts constitutes a valuable tool to monitor cellular internalizationin vitroandin vivo. METHODS: Herein, we establish an alternative method to strongly enrich Aβ and Tau aggregates from human AD brains, which has allowed us to study and compare the cellular internalization, distribution and toxicity of both proteins within brain barrier endothelial (bEnd.3) and neuronal (Neuro2A) cells. RESULTS: Our findings demonstrate the suitability of human enriched brain extracts to monitor the intracellular distribution of human Aβ and Tau, which, once internalized, show dissimilar sorting to different organelles within the cell and differential toxicity, exhibiting higher toxic effects on neuronal cells than on endothelial cells. While tau is strongly concentrated preferentially in mitochondria, Aβ is distributed predominantly within the endolysosomal system in endothelial cells, whereas the endoplasmic reticulum was its preferential location in neurons. Altogether, our findings display a picture of the cellular events that might occur in AD. CONCLUSIONS: Monitoring the transit of internalized human Aβ and tau comparatively uncovers, for the first time, differences regarding their accumulation within the endolysosomal system, endoplasmic reticulum, mitochondria and autophagosomes, which might explain their differential cell-dependent toxicity. Overall, this study constitutes the first approach aimed at identifying the mechanism used by Aβ, tau and potential cofactors to exert cellular toxicity. Future studies must address the consequences of the accumulation of these proteins in different organelles and their relation to cell-to-cell transmission proposed for both proteins as part of the prion-like hypothesis of AD.
AI-Enhanced Security Demand and Routing Management for MANETs with Optical Technologies
Authors: Jia Xuetao , Huang Donggui , Qin Na 
Published: September 2023

Abstract
The proliferation of Mobile Ad hoc Networks (MANETs), where nodes connect with one another to offer the required real-time entertainment services, is where academics are focusing more attention as a result of recent breakthroughs in wireless communication. Decentralised design and wireless connection of MANETs, however, make building safe routing a difficult problem. Artificial Intelligence (AI) and optical technologies have attracted a lot of attention as a way to address these security issues and improve network performance. This study uses a machine learning model to provide a unique security management and routing management method for MANETs. Here, trust-based multi-tier honey pot analysis with stacked reinforcement learning (MHSRL) is used to monitor the security of the network. The linear gradient Distance Vector dynamic Mamdani routing system (LGDVDMR) is used to regulate network routing.For different security-based datasets, experimental analysis is done in terms of throughput, end-end latency, packet delivery ratio, and trust analysis. Generated graph executes both the performance graph and the packet drop. The results of research studies indicate that our method locates the closest node that is the safest and finds problematic nodes with a tolerable load.Proposed technique attained throughput 96%, trust analysis 98%, end-end delay of 59%, packet delivery ratio of 79%.
%diag_test: A Generic SAS Macro for Evaluating Diagnostic Accuracy Measures for Multiple Diagnostic Tests
Authors: Muthusi Jacques , Young Peter W. , Mboya Frankline O. , Mwalili Samuel M. 
Published: September 2023

Abstract

Background
Measures of diagnostic test accuracy provide evidence of how well a test correctly identifies or rules-out disease. Commonly used diagnostic accuracy measures include sensitivity and specificity, predictive values, likelihood ratios, area under the receiver operator characteristic curve (AUROC), the area under precision-recall curves (AUPRC), diagnostic effectiveness (accuracy), disease prevalence, and diagnostic odds ratio (DOR) etc. Most available analysis tools perform accuracy testing for a single diagnostic test using summarized data. We developed a SAS macro for evaluating multiple diagnostic tests using individual-level data that creates a 2x2 summary table, AUROC and AUPRC as part of output.
Methods
The SAS macro presented here is automated to reduce analysis time and transcription errors. It is simple to use as the user only needs to specify the input dataset, “standard” and “test” variables and threshold values. It creates a publication-quality output in Microsoft Word and Excel showing more than 15 different accuracy measures together with overlaid AUROC and AUPRC graphics to help the researcher in making decisions to adopt or reject diagnostic tests. Further, it provides for additional variance estimation methods other than the normal distribution approximation.
Results
We tested the macro for quality control purposes by reproducing results from published work on evaluation of multiple types of dried blood spots (DBS) as an alternative for human immunodeficiency virus (HIV) viral load (VL) monitoring in resource-limited settings compared to plasma, the gold-standard. Plasma viral load reagents are costly, and blood must be prepared in a reference laboratory setting by a qualified technician. On the other hand, DBS are easy to prepare without these restrictions. This study evaluated the suitability of DBS from venous, microcapillary and direct spotting DBS, hence multiple diagnostic tests which were compared to plasma.
Conclusion
The SAS macro presented here is a powerful analytic tool for analyzing data from multiple diagnostic tests. The SAS programmer can modify the source code to include other diagnostic measures and variance estimation methods. By automating analysis, the macro adds value by saving analysis time, reducing transcription errors, and producing publication-quality outputs.
Hypergraph Convolution Mix DDPG for Multi-Aerial Base Station Deployment
Authors: He Haoran , Zhou Fanqin , Zhao Yikun , Li Wenjing , Feng Lei 
Published: September 2023

Abstract
Aerial base station (AeBS), as crucial components of air-ground integrated networks, can serve as the edge nodes of the edge-cloud computing network. Optimizing the deployment of multiple AeBSs to maximize system energy efficiency is currently a prominent and actively researched topic. In this paper, we deploy AeBSs using multi-agent deep reinforcement learning (MADRL). We describe the multi-AeBS deployment challenge as a decentralized partially observable Markov decision process (Dec-POMDP), taking into consideration the constrained observation range of AeBSs. The hypergraph convolution mix deep deterministic policy gradient (HCMIX-DDPG) algorithm is designed to maximize the system energy efficiency. The proposed algorithm uses the value decomposition framework to solve the lazy agent problem, and hypergraph convolutional (HGCN) network is introduced to strengthen the cooperative relationship between agents. The suggested HCMIX-DDPG algorithm outperforms alternative baseline algorithms in the multi-AeBS deployment scenario, according to simulation results.
AEformer: Asymmetric Embedding Transformer for Stock Market Prediction based on Investor Sentiment
Authors: Jiang Linling , Yue Songtao , Zhang Mingli , Zhang Fan 
Published: September 2023

Abstract
Stock market prediction is an essential topic in economics. However, owing to the noise and volatility of the stock market, timely market prediction is generally considered one of the most challenging problems. Several researchers have introduced investor sentiment into stock prediction models and have achieved good results. Applying investor sentiment to high-frequency stock price forecasts can lead to risk aversion and improved returns. We have designed a model for high-frequency stock price prediction known as asymmetric embedding transformer (AEformer) that uses investor sentiment. We filtered stock comments using category information and enhanced the utilization of investor sentiment for stock prediction by incorporating an asymmetric embedding layer combined with a channel-wise independent self-attention mechanism. The experimental results show that AEformer outperforms the other models in high-frequency stock predictions using investor sentiment. Moreover, the asymmetric embedding layer is effective in improving the forecasting performance of transformer-based models.
Unilateral Testicular infarction a very rare complication of genitourinary tuberculosis: a case report and literature review
Authors: Issack Feysel Hassen 
Published: September 2023

Abstract
Background: Tuberculosis is the most ubiquitous infectious disease and is associated with a large number of morbidities and mortalities. It is primarily a disease of the lungs but also affects every organ. In its initial military, its deposits spread to genitourinary organs, although this is not the only mechanism of spread. Isolated genital TB is rare, but testicular infarction is an unusual complication of delayed management, in which surgical intervention is warranted.
Case presentation: A 29-year-old male non-smoker presents with painful left scrotal pain of 21 days. Initially managed with intravenous antibiotics, the disease progressed and resulted in testicular infarction. Left orchiectomy was performed, and the specimen was sent for histopathological examination, which revealed features consistent with a testicular tuberculous abscess.
Conclusion: Tuberculous Epididymoorchitis (TBEO) with testicular infarction was unusual. It is prudent to consider this in patients presenting with long-standing urinary symptoms, particularly in those unresponsive to the initial antibiotic therapy. It requires a high index of suspicion, especially in TB endemic areas.
Targeting Dormant Disseminated Tumor Cells and their Permissive Niche by Pro-Resolving Mediators Derived from Resolution-Phase Macrophages.
Authors: Gilon-Zaltsman Odelya , Weidenfeld Keren , Samara Hadeel , Feuermann Yonatan , Michaeli-Ashkenasi Shira , Schif-Zuck Sagie , Von Huth Palle , Butenko Sergei , Assi Simaan , Sabo Edmond , Ariel Amiram , Barkan Dalit 
Published: September 2023

Abstract
Metastatic breast cancer can recur years after initial treatments and arise from quiescent disseminated tumor cells (QDTC). To date there are no treatments to target QDTCs. Previously, the fibrotic-like niche (FLN) enriched with Type I collagen (Col-I) was shown to be required for the switch of QDTC to overt metastases. Here, we examined whether reinstating resolution of inflammation, by using soluble mediators secreted by ex-vivo generated pro-resolving CD11blow macrophages (CM-Mres), will prevent FLN establishment and in turn hinder QDTC outgrowth. Our findings indicate that CM-Mres promoted immune silencing at the metastatic site as part of the resolution process and inhibited the FLN resulting in the inhibition of the metastatic outgrowth in vitro and in vivo. This was due to inhibition of fibroblasts to myofibroblasts differentiation independent of TGFβ1 canonical signaling and the abolishment of Col-I expression. Furthermore, CM-Mres eliminated myofibroblasts by inducing an increase in reactive oxygen species (ROS) via NADPH oxidase leading to DNA damage and apoptosis. Moreover, ROS–mediated apoptosis was also induced by CM-Mres in the dormant and outgrowing QDTCs. Overall, our findings suggest for the first time that pro-resolving mediators can target both QDTCs and their permissive niche thus preventing breast cancer from recuring.
Reason for less water supply shortages under climate change condition: evaluation of future rainfall data
Authors: Ma Jeong-Hyeok , Yoo Chulsang , Na Wooyoung , Lee Jong-Sub 
Published: September 2023

Abstract
This study evaluates the appropriateness of general circulation model-based future rainfall data used in Korea. The evaluation is done through the analysis of long-term occurrence characteristics of dry years, as well as the analysis of the water supply system including the daily based rainfall-runoff analysis and reservoir operation. This study considers the Boryeong Dam basin in Korea as a study basin. Summarizing the results is as follows. First, the future rainfall data show that the occurrence frequency of dry years is similar to the observed, but the occurrence frequency of consecutive multi-year dry years is far smaller than the observed. Second, the future rainfall data result in no or far less water supply shortages. This is mainly due to the fact that the Boryeong Dam has the ability to overcome the one-year drought and the future rainfall data contain far fewer multi-year droughts. However, these results clearly indicate the problems of the future rainfall data, especially in the long-term persistence of rainfall. It is thus disappointing that these future climate rainfall data may not be used to evaluate the water supply system in the future, at least in the Boryeong Dam basin.
Do que é feita a diversidade na EJA? Compreensões a partir das Epistemologias do Sul
Authors: De Azevedo Palhares Emanuella , Da Silva Francisco Canindé 
Published: September 2023

Este artigo consiste em reconhecer a diversidade dos sujeitos da Educação de Jovens e Adultos (EJA) como forma de credibilizar e legitimar saberes, fazeres e lutas de grupos socialmente marginalizados presentes nessa modalidade de ensino, mas que têm sido invisibilizados. Nesta pesquisa de natureza qualitativa, apresentam-se maneiras de como os conhecimentossignificações (Andrade, Caldas, Alves, 2019) acerca da diversidade vêm sendo produzidos no âmbito das pesquisas acadêmicas. Teoricamente, utiliza-se a abordagem das Epistemologias do Sul (Santos, 2009, 2020) e da Colonialidade do Poder (Quijano, 2005, 2009), enquanto referências possíveis de melhor perceber-destacar e construir inéditos-viáveis (Freire, 2002) à modalidade, evitando o epistemicídio de saberes e o desperdício de experiências. Esperamos que este estudo possibilite reviravoltas epistemológicas que resultem na superação de categorias unidimensionais que têm orientado práticas pedagógicas, curriculares da EJA.
The most Recent Compilation of Reactions of Enaminone Derivatives with
various Amine Derivatives to Generate Biologically Active Compounds
Authors: Farghaly Thoraya A. , Alosaimy Amal M. , Al-Qurashi Nadia T. , Masaret Ghada S. , Abdulwahab Hanan Gaber 
Published: September 2023

Abstract:
Heterocyclic derivatives serve as the fundamental components of both natural and synthetic
drugs. Enaminones play a crucial role as foundational units in the synthesis of numerous bioactive
heterocyclic compounds, including pyrazoles, pyridines, oxazoles, isoxazoles, as well as fused heterocyclic
structures like indoles, carbazoles, quinolines, acridines, and phenanthridines. These diverse
heterocyclic rings are well-known for their various therapeutic activities, encompassing anticancer,
anti-inflammatory, antimicrobial, antidepressant, and antiviral properties. By reacting with nitrogenbased
nucleophiles, enaminones can generate bioactive azoles, azines, and their fused systems. This
comprehensive review article focuses on the recent advancements in enaminone reactions with (a)
nitrogen-based nucleophiles, such as aliphatic amines, derivatives of aniline, heterocyclic amines, hydroxylamine,
hydrazine derivatives, guanidine derivatives, urea, and thiourea derivatives, and (b) nitrogen-
based electrophiles, such as diazonium salts. These reactions have led to the synthesis of a
wide range of bioactive fused heterocyclic compounds from 2010 to the end of 2022.
Emerging Role of Ferroptosis in Breast Cancer: Characteristics, Therapy, and Translational Implications for the Present and Future
Authors: Ray Suman Kumar , Mukherjee Sukhes 
Published: September 2023

:
Ferroptosis is a nonapoptotic, iron-dependent form of cell death that can be
actuated in disease cells by expected improvements and manufactured specialists.
Different studies have recently resurrected the role of this newly discovered cell death
pathway and demonstrated its efficacy in treating breast cancer. Breast cancer is the
most well-known type of cancer among women worldwide. Despite many years of
research focusing on cell death in breast cancer, counting apoptosis, clinical treatment
leftovers are difficult due to the high likelihood of recurrence. Ferroptosis is defined by a
lack of lipid peroxide repair capacity by phospholipid hydroperoxides GPX4, accessibility
of redox-active iron, and followed oxidation of polyunsaturated fatty acids acid-containing
phospholipids signalling, amino acid and iron metabolism, ferritinophagy, epithelial-tomesenchymal
transition, cell adhesion, and mevalonate and phospholipid biosynthesis
can all be factors that influence ferroptosis susceptibility. Ferroptosis, an iron-dependent
controlled cell death caused by excessive lipid peroxidation, has been entwined in breast
cancer development and therapeutic response for the past decade. Advances in
enhancing clinical drugs targeting ferroptosis are developing silver linings to treat breast
cancer. Ferroptosis is influenced by metabolism and the expression of certain genes,
making it a prospective therapeutic target for monitoring malignant growth and an
appealing target for precision cancer medication disclosure. In the coming years,
research into biomarkers to follow ferroptosis in patients with breast cancer and the
course of events and the subsequent use of novel ferroptosis-based treatments will be
captious. We present a fundamental analysis of the actual understanding of molecular
mechanisms along with regulatory networks associated with ferroptosis, expected
physiological functions in growth concealment, ferroptosis-associated differentially
expressed genes, treatment targeting potential, and recent advances in the development
of therapeutic strategies in this review.
Chronic Lithium Treatment Alters NMDA and AMPA Receptor Synaptic
Availability and Dendritic Spine Organization in the Rat Hippocampus
Authors: Caffino Lucia , Targa Giorgia , Mallien Anne Stephanie , Mottarlini Francesca , Rizzi Beatrice , Homberg Judith R. , Gass Peter , Fumagalli Fabio 
Published: September 2023

Background:
The mechanisms underlying the action of lithium (LiCl) in bipolar disorder
(BD) are still far from being completely understood. Previous evidence has revealed that BD is characterized
by glutamate hyperexcitability, suggesting that LiCl may act, at least partially, by toning down
glutamatergic signaling abnormalities.

Objective:
In this study, taking advantage of western blot and confocal microscopy, we used a combination
of integrative molecular and morphological approaches in rats exposed to repeated administration
of LiCl at a therapeutic dose (between 0.6 and 1.2 mmol/l) and sacrificed at two different time
points, i.e., 24 hours and 7 days after the last exposure.

Results:
We report that repeated LiCl treatment activates multiple, parallel, but also converging forms
of compensatory neuroplasticity related to glutamatergic signaling. More specifically, LiCl promoted a
wave of neuroplasticity in the hippocampus, involving the synaptic recruitment of GluN2A-containing
NMDA receptors, GluA1-containing AMPA receptors, and the neurotrophin BDNF that are indicative
of a more plastic spine. The latter is evidenced by morphological analyses showing changes in dendritic
spine morphology, such as increased length and head diameter of such spines. These changes may
counteract the potentially negative extra-synaptic movements of GluN2B-containing NMDA receptors
as well as the increase in the formation of GluA2-lacking Ca2+-permeable AMPA receptors.

Conclusion:
Our findings highlight a previously unknown cohesive picture of the glutamatergic implications
of LiCl action that persist long after the end of its administration, revealing for the first time
a profound and persistent reorganization of the glutamatergic postsynaptic density receptor composition
and structure.
Efficacy of Low-dose Olanzapine in Combination with Sertraline on
Negative Symptoms and Psychosocial Functioning in Schizophrenia: A
Randomized Controlled Trial
Authors: Xiu Meihong , Zhao Lei , Sun Qianqian , Lang Xiaoe 
Published: September 2023

Background:
Evidence for the efficacy of a low dose of olanzapine (OLA) in combination
with antidepressants has been limited and without positive trials in first-episode (FE) patients with
schizophrenia (SCH). This study aimed to compare the efficacy in treating negative and depressive
symptoms between those FE patients with SCH treated with a combination of OLA plus sertraline and
those treated with OLA monotherapy.

Methods:
One hundred and ninety-six first-episode and drug naïve patients with SCH were randomized
to receive low-dose OLA (7.5-10 mg/day) combined with sertraline (50-100 mg/day) (OS group)
or normal-dose OLA monotherapy (12.5-20 mg/day) (NO group). Clinical symptoms were evaluated
by the Positive and Negative Syndrome Scale (PANSS), and the depressive symptoms were evaluated
by the Hamilton Depression Scale (HAMD). Psychosocial functioning was assessed by the Personal
and Social Performance Scale (PSP).

Results:
In the intent-to-treat efficacy analysis, the OS group had greater decreases in negative and
depressive symptoms (pall < 0.01) and a greater increase in PSP total score compared with the NO
group (p < 0.01). Moreover, reductions in HAMD total score and PANSS negative subscore and sex
were associated with the improvements in psychosocial functioning from baseline to week 24, after
controlling for baseline psychosocial function, age, and onset age.

Conclusion:
This study demonstrates that low-dose OLA in combination with sertraline had clinically
meaningful improvements not only in the negative and depressive symptoms but also in psychosocial
functioning in patients with FE-SCH, while not affecting positive symptoms.