bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of the Physiochemical and Nutraceutical Properties of Sour and Sweet Pomegranate Juice in Northern Jordan
Authors: Rababah Taha , Al-U’datt Muhammad , Gammoh Sana , Khatatbeh Tayma’a , Magableh Ghazi , Almajwal Ali , Yücel Sevil , AL-Rayyan Numan 
Published: November 2023

Pomegranate juice (PJ) is the major pomegranate product that offers a simple way to consume pomegranate’s biologically active compounds, obtained from arils. In this study, we objectively investigate the physiochemical properties such as pH value, total soluble solids, color parameters, fructose and glucose contents, hydroxymethyl furfural (HMF) content, and viscosity. Also, the phytochemical content includes total phenols content, antioxidant activity, flavonoid, anthocyanin content, and phenolic quantification. In addition, the alpha-amylase and angiotensin-converting enzyme inhibitory activities among sweet and sour varieties of pomegranate juice obtained from different regions in Northern Jordan (Ajloun, Dair Abi Said, and Kufur Soum) where the significant differences at

P

≤ 0.05 appeared among sweet and sour varieties in different pomegranate juice samples. The pH values for pomegranate juice range from 2.87 to 3.77, and TSS ranges from 15.36 to 16.9 Brix. The total phenol content of pomegranate juice ranged from 105.8 to 238.63 mg/g while the total flavonoid content was present in the range of 135.53–184.9 mg/g. The DPPH inhibition (%) of pomegranate juice ranged between 20.66% and 50.63%, and the anthocyanin content range was 3.66–11.02 mg/g. Ellagic acid, delphinidin, 3,4-dihydroxyphenethyl alcohol, 2-hydroxyphenethyl alcohol, catechin, epicatechin, vanillic acid, caffeic acid, P-coumaric acid, chlorogenic acid, gallic acid, ferulic acid, and syringic acid are phenolics present predominantly in pomegranate juice. Pomegranate juice exhibits high alpha-amylase and angiotensin-converting enzyme inhibition activity. All results indicate good quality and health properties for pomegranate juice.
Flicker light stimulation induces thalamocortical hyperconnectivity with LGN and higher-order thalamic nuclei
Authors: Amaya Ioanna A. , Schmidt Marianna E. , Bartossek Marie T. , Kemmerer Johanna , Kirilina Evgeniya , Nierhaus Till , Schmidt Timo T. 
Published: November 2023

Abstract
The thalamus is primarily known as a relay for sensory information; however, it also critically contributes to higher-order cortical processing and coordination. Thalamocortical hyperconnectivity is associated with hallucinatory phenomena that occur in various psychopathologies (e.g., psychosis, migraine aura) and altered states of consciousness (ASC; e.g., induced by psychedelic drugs). However, the exact functional contribution of thalamocortical hyperconnectivity in forming hallucinatory experiences is unclear. Flicker light stimulation (FLS) can be used as an experimental tool to induce transient visual hallucinatory phenomena in healthy participants. Here, we use FLS in combination with fMRI to test how FLS modulates thalamocortical connectivity between specific thalamic nuclei and visual areas. We show that FLS induces thalamocortical hyperconnectivity between lateral geniculate nucleus (LGN), early visual areas, and proximal upstream areas of the ventral visual stream (e.g., hV4, VO1). Further, an exploratory analysis indicates specific higher-order thalamic nuclei, such as anterior and mediodorsal nuclei, to be strongly affected by FLS. Here, the connectivity changes to upstream cortical visual areas directly reflect a frequency-dependent increase in experienced visual phenomena. Together, these findings contribute to the identification of specific thalamocortical interactions in the emergence of visual hallucinations.
Canonical BAF complex regulates the oncogenic program in human T-cell acute lymphoblastic leukemia
Authors: Aoki Kazunari , Hyuga Mizuki , Tarumoto Yusuke , Nishibuchi Gohei , Ueda Atsushi , Ochi Yotaro , Sugino Seiichi , Mikami Takashi , Kobushi Hirokazu , Kato Itaru , Akahane Koshi , Inukai Takeshi , Takaori-Kondo Akifumi , Takita Junko , Ogawa Seishi , Yusa Kosuke 
Published: November 2023

Abstract
Acute leukemia cells require bone marrow microenvironments, known as niches, which provide leukemic cells with niche factors that are essential for leukemic cell survival and/or proliferation. However, it remains unclear how the dynamics of the leukemic cell–niche interaction are regulated. Using a genome-wide CRISPR screen, we discovered that canonical BRG1/BRM-associated factor (cBAF), a variant of the switch/sucrose nonfermenting chromatin remodeling complex, regulates the migratory response of human T-cell acute lymphoblastic leukemia (T-ALL) cells to a niche factor CXCL12. Mechanistically, cBAF maintains chromatin accessibility and allows RUNX1 to bind to CXCR4 enhancer regions. cBAF inhibition evicts RUNX1 from the genome, resulting in CXCR4 downregulation and impaired migration activity. In addition, cBAF maintains chromatin accessibility preferentially at RUNX1 binding sites, ensuring RUNX1 binding at these sites, and is required for expression of RUNX1-regulated genes, such as CDK6; therefore, cBAF inhibition negatively impacts cell proliferation and profoundly induces apoptosis. This anticancer effect was also confirmed using T-ALL xenograft models, suggesting cBAF as a promising therapeutic target. Thus, we provide novel evidence that cBAF regulates the RUNX1-driven leukemic program and governs migration activity toward CXCL12 and cell-autonomous growth in human T-ALL.
Whole genome structure and resistance genes in carbapenemase-producing multidrug resistant ST378 Klebsiella pneumoniae
Authors: Kyung Su Min , Lee Jun Ho , Lee Eun-Seo , Hwang Cheol-Yong , Yoo Han Sang 
Published: November 2023

Abstract
Background
Carbapenemase-producing Klebsiella pneumoniae (CPKP) is one of the most dangerous multidrug-resistant (MDR) pathogens in human health due to its widespread circulation in the nosocomial environment. CPKP carried by companion dogs, which are close to human beings, should be considered a common threat to public health. However, CPKP dissemination through companion animals is still under consideration of major diagnosis and surveillance systems.

Methods
Two CPKP isolates which were genotyped to harbor blaNDM-5-encoding IncX3 plasmids, were subjected to the whole-genome study. Whole bacterial DNA was isolated, sequenced, and assembled with Oxford Nanopore long reads and corrected with short reads from the Illumina NovaSeq 6000 platform. The whole-genome structure and positions of antimicrobial resistance (AMR) genes were identified and visualized using CGView. Worldwide datasets were downloaded from the NCBI GenBank database for whole-genome comparative analysis. The whole-genome phylogenetic analysis was constructed using the identified whole-chromosome SNP sites from K. pneumoniae HS11286.

Results
As a result of the whole-genome identification, 4 heterogenous plasmids and a single chromosome were identified, each carrying various AMR genes. Multiple novel structures were identified from the AMR genes, coupled with mobile gene elements (MGE). The comparative whole-genome epidemiology revealed that ST378 K. pneumoniae is a novel type of CPKP, carrying a higher prevalence of AMR genes.

Conclusions
The characterized whole-genome analysis of this study shows the emergence of a novel type of CPKP strain carrying various AMR genes with variated genomic structures. The presented data in this study show the necessity to develop additional surveillance programs and control measures for a novel type of CPKP strain.
Genomic signals of local adaptation in Picea crassifolia
Authors: Feng Shuo , Xi Erning , Wan Wei , Ru Dafu 
Published: November 2023

Abstract
Background
Global climate change poses a grave threat to biodiversity and underscores the importance of identifying the genes and corresponding environmental factors involved in the adaptation of tree species for the purposes of conservation and forestry. This holds particularly true for spruce species, given their pivotal role as key constituents of the montane, boreal, and sub-alpine forests in the Northern Hemisphere.

Results
Here, we used transcriptomes, species occurrence records, and environmental data to investigate the spatial genetic distribution of and the climate-associated genetic variation in Picea crassifolia. Our comprehensive analysis employing ADMIXTURE, principal component analysis (PCA) and phylogenetic methodologies showed that the species has a complex population structure with obvious differentiation among populations in different regions. Concurrently, our investigations into isolation by distance (IBD), isolation by environment (IBE), and niche differentiation among populations collectively suggests that local adaptations are driven by environmental heterogeneity. By integrating population genomics and environmental data using redundancy analysis (RDA), we identified a set of climate-associated single-nucleotide polymorphisms (SNPs) and showed that environmental isolation had a more significant impact than geographic isolation in promoting genetic differentiation. We also found that the candidate genes associated with altitude, temperature seasonality (Bio4) and precipitation in the wettest month (Bio13) may be useful for forest tree breeding.

Conclusions
Our findings deepen our understanding of how species respond to climate change and highlight the importance of integrating genomic and environmental data in untangling local adaptations.
Political instability and hiv/aids response in the south west and north west regions of Cameroon: a qualitative study
Authors: Mekolle Julius Enongene , Tshimwanga Katayi Edouard , Ongeh Niba Juste , Agbornkwai Agbor Nyenty , Amadeus Omeichu Agwenam , Esa Ismaela , Mekolle Keshia Ebude , Forbinake Ndung Ako , Nkfusai Claude Ngwayu , Atanga Pascal Nji 
Published: November 2023

Abstract
Background
Politically motivated violence and insecurity continue to be a major threat to progress in HIV epidemic control and a significant contributor to health inequality. Despite a decreasing HIV/AIDS disease burden, the Republic of Cameroon in West Africa is experiencing ongoing political instability in her North and South West Regions. Our study used qualitative methods to better understand key frontline health care providers’ (fHCP) perceptions of the effects of political instability on HIV/AIDS response gains in Cameroon since 2018, as well as lessons learned for overcoming them.

Methods
Between July and August 2022, semi-structured, in-depth key informant interviews involving 10 purposively selected participants were conducted in the two regions. Interviews were recorded and transcribed verbatim, coded thematically, and analyzed manually.

Results
Six overarching themes emerged from the transcribed key informant interviews. They were as follows: Challenge with access to and availability of health care services (HIV care, commodity supply chain) in the smaller communities; Impact on continuity of treatment; Increased risk of new HIV infections; The socioeconomic impact of the crisis on the quality of life; The impact of the crisis on fHCPs’ physical and mental health and the health system’; and Coping mechanisms.

Conclusions
Frontline healthcare workers have acknowledged the significant impact the current political instability has had in hindering the development and advancement of a successful local response to HIV/AIDS in the two impacted regions of Cameroon. Coordinated efforts must be made to strengthen the health sector in areas such as HIV healthcare decentralization, supply chain, and protecting frontline healthcare workers from political quagmires in order to lessen the impact of the nation’s socio-political crisis on the HIV/AIDS response and, more generally, on the entire health sector.
The predictive value of the change of the number of pixels under different CT value intervals in the CT-occult central lung squamous cell carcinoma and squamous epithelial precancerous lesions
Authors: Zhou Jiaming , Yu Bijun , Guo Peng , Wang Shi 
Published: November 2023

Abstract
Background
Due to the fact that the CT-occult central lung squamous cell carcinoma and squamous epithelial precancerous lesions.
(CT-occult CLSCC and SEPL) cannot be detected by lung CT screening, early and timely diagnosis of central lung cancer becomes very difficult, which directly affects the prognosis of patients.

Methods
We retrospectively review medical records of patients at the Zhejiang Cancer Hospital and enrolled 41 patients with the CT-occult CLSCC and SEPL and 48 patients without the CT-occult CLSCC and SEPL. We compare the clinical characteristics, imaging features and Changes in the number of pixels under different CT value intervals of patients with and without the CT-occult CLSCC and SEPL and we perform univariate and multivariate logistic regression analysis to explore independent factors for the CT-occult CLSCC and SEPL in the patients.

Results
We demonstrate that pack-years ≥ 20 (OR: 3.848, 95% CI: 1.086 ~ 13.633), the number of pixels change of CT value in interval [-850 ~ -750HU] (OR: 5.302, 95% CI: 1.122 ~ 25.057) and in interval [-900 ~ -850HU] (OR: 3.478, 95% CI: 1.167 ~ 10.365) are independently associated with the CT-occult CLSCC and SEPL in the patients. Ultimately, the logistic model obtained is statistically significant (p < 0.05) and an area under the ROC curve is 0.776 (95% CI: 0.682–0.870). The sensitivity of this model is 90.2% and the specificity is 52.1%.

Conclusion
The results of this study indicate that in the CT value range [-950 ~ -750HU], when the total number of lung pixels tend to increase towards the region with high CT value, the probability of the occurrence of CT-occult CLSCC and SEPL lesions also increases. Meanwhile, these results have guiding significance for the further study of radiomic.
Is there a sexual difference in the relationship between sociodemographic information and the unmet dental care needs of disabled adults? An analysis from a national survey on persons with disabilities
Authors: Kim Na-Hyeon , Ryu Jae-In 
Published: November 2023

Abstract
Background
Health status and health care utilization in people with disabilities are more likely to be poorer than those without disabilities. Previous studies showed that there were gaps in health-related conditions by sociodemographic information and gender but the association between these factors was not explained. This study aims to analyze the relationship between sociodemographic information and the unmet dental care needs of people with disabilities and explore the effect of sex within this relationship.

Methods
The 2014 national survey on persons with disabilities was used, which separated unmet healthcare needs into medical and dental services. Unweighted samples included 6,824 people with disabilities in total and 6,555 (96.1% of the total, weighted as 6,583) people aged 20 years or older were selected as the study population. Frequency and chi-square tests were conducted to determine differences in the prevalence of unmet dental needs based on socioeconomic information, chronic diseases, and behavioral factors after applying weights. Logistic regressions were performed using an adjusted model with sociodemographic information, chronic diseases, and behavioral variables. All analyses were performed using IBM SPSS Statistics for Windows, version 26 (IBM Corp., Armonk, N.Y., USA).

Results
Analysis of the sociodemographic factors related to unmet dental care revealed that they were higher in women and the elderly. In the fully adjusted logistic model, most of the sociodemographic information was significantly associated with unmet dental needs. The lowest group was 4.18 times more likely to have unmet dental care needs than the richest group, and females and middle-school graduates were almost twice as likely to experience unmet dental care needs than males and university graduates. Considering the interaction effect of age on unmet dental needs depending on sex differences, the odds ratio decreased for females with every annual increase in both models. Compared with the younger group, the older group showed a lower risk of having unmet dental needs, especially in females.

Conclusions
The factor most closely related to the unmet dental care needs of disabled people was socioeconomic problems. Its influence also differed by sex and age. Therefore, economic support measures and sexual differences are needed for long-term policy consideration to reduce the unmet dental care needs of disabled people.
A preoperative nomogram predicting risk of lymph node metastasis for early-stage cervical cancer
Authors: Deng Yuan-Run , Chen Xiao-Jing , Xu Cai-Qiu , Wu Qiao-Zhi , Zhang Wan , Guo Sui-Qun , Li Li-Xian 
Published: November 2023

Abstract
Objective
This study aimed to develop a preoperative nomogram based on clinical and pathological characteristics to provide a more individualized and accurate estimation of lymph node metastasis (LNM) in patients with early-stage cervical cancer.

Methods
A total of 7,349 early-stage cervical cancer patients with pathologically confirmed between 1988 and 2015 were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. All the patients were divided into training (n = 5,500) and validation (n = 1,849) cohorts randomly. A cohort of 455 patients from multicenter was used for the external validation. We established a multivariate logistic regression model based on preoperative clinicopathological data, from which a nomogram was developed and validated. A predicted probability of LNM < 5% was defined as low risk.

Results
From multivariate logistic regression analysis, age at diagnosis, histologic subtype, tumor grade, tumor size and FIGO stage were identified as preoperative independent risk factors of LNM. The nomogram incorporating these factors demonstrated good discrimination and calibration (concordance index = 0.723; 95% confidence interval (CI), 0.707–0.738). In the validation cohort, the discrimination accuracy was 0.745 (95% CI, 0.720–0.770) and 0.747 (95% CI, 0.690–0.804), respectively. The nomogram was well calibrated with a high concordance probability. We also established an R-enabled Internet browser for LNM risk assessment, which tool may be convenient for physicians.

Conclusions
We developed an effective preoperative nomogram based on clinical and pathological characteristics to predict LNM for early-stage cervical cancer. This model could improve clinical trial design and help physicians to decide whether to perform lymphadenectomy or not.
Support for affirmative actions to increase inclusivity of intersex* persons at an Austrian medical university
Authors: Walser Judith , Hochleitner Margarethe , Komlenac Nikola 
Published: November 2023

Abstract
Background
Since the ruling handed down by the Austrian Constitutional Court in 2018 intersex variation has been recognized under Austrian law as a “third sex”. In order to ensure that people with intersex variation are not discriminated against based on their group membership affirmative actions (i.e., proactive practices to avert discrimination) can be implemented. The current study explored whether students and employees at an Austrian medical university know about intersex variation. Furthermore, the study investigated what affirmative actions are practiced at the medical university to be inclusive for intersex persons and students’ and employees’ support for such affirmative actions.

Methods
All students and employees of a medical university in Austria were invited by e-mail to participate at the current study that included a self-constructed knowledge test on intersex variation with ten true-false questions. On five-point Likert scales participants reported for each of twelve listed affirmative actions whether they had seen a certain affirmative action at their university and how important they thought the implementation of an affirmative action was. Finally, participants’ gender, age, sexual orientation, highest level of education, and nationality was assessed. A cluster analysis was performed to determine groups of people with different degrees of support for affirmative actions for intersex persons.

Results
220 students (62% cisgender women, 38% cisgender men) and 200 employees (72% cisgender women, 28% cisgender men) participated. Participants responded correctly to three out of ten knowledge test questions. The cluster analysis revealed that participants could be clustered as heterosexual cisgender women (Cluster 1; 55%), heterosexual cisgender men (Cluster 2; 30%), or sexual minority cisgender women and men (Cluster 3; 15%). Sexual minority persons knew more about intersex variation than did heterosexual participants. On average, affirmative actions for the inclusivity of intersex people have not been encountered (M = 1.5, SD = 0.4) at the studied university. Participants, especially those in Cluster 3, believed that the listed actions are moderately important.

Conclusions
At the medical university many actions should be taken to increase inclusivity for intersex people. Increasing the knowledge of university staff and students concerning intersex might help increase their support for such actions.
Explainable convolutional neural networks for assessing head and neck cancer histopathology
Authors: Dörrich Marion , Hecht Markus , Fietkau Rainer , Hartmann Arndt , Iro Heinrich , Gostian Antoniu-Oreste , Eckstein Markus , Kist Andreas M. 
Published: November 2023

Abstract
Purpose
Although neural networks have shown remarkable performance in medical image analysis, their translation into clinical practice remains difficult due to their lack of interpretability. An emerging field that addresses this problem is Explainable AI.

Methods
Here, we aimed to investigate the ability of Convolutional Neural Networks (CNNs) to classify head and neck cancer histopathology. To this end, we manually annotated 101 histopathological slides of locally advanced head and neck squamous cell carcinoma. We trained a CNN to classify tumor and non-tumor tissue, and another CNN to semantically segment four classes - tumor, non-tumor, non-specified tissue, and background. We applied Explainable AI techniques, namely Grad-CAM and HR-CAM, to both networks and explored important features that contributed to their decisions.

Results
The classification network achieved an accuracy of 89.9% on previously unseen data. Our segmentation network achieved a class-averaged Intersection over Union score of 0.690, and 0.782 for tumor tissue in particular. Explainable AI methods demonstrated that both networks rely on features agreeing with the pathologist’s expert opinion.

Conclusion
Our work suggests that CNNs can predict head and neck cancer with high accuracy. Especially if accompanied by visual explanations, CNNs seem promising for assisting pathologists in the assessment of cancer sections.