bluuebunny/crossref_metadata_2025 huggingface dataset:
Purchase decision patterns of non-bank sharia housing in Bandar Lampung City during Covid-19: Price exploration and digital marketing
Authors: Normasyhuri Khavid , Nurohmah Siti
Published: June 2023

IntroductionThe housing sector, including sharia housing, has been affected by Covid-19. Many studies have analyzed the impact of Covid-19 on the sharia housing industry, but research focusing on non-bank financing is still limited. ObjectivesThis study aims to analyze how consumer purchasing decisions for housing during Covid-19 are influenced by price and digital marketing. MethodThis study can be categorized as quantitative study by collecting data from 500 consumers selected through purposive sampling in the Bandar Lampung City. The obtained data was then analyzed using SmartPLS software. ResultsThe result shows that price and digital marketing have significant impact on consumers’ purchase decision of non-bank Sharia housing during Covid-19. ImplicationsSharia housing developers should effectively utilize digital marketing content and pricing strategy to attract potential consumers in Bandar Lampung City.Originality/NoveltyThis study highlights unique pricing and digital marketing strategies by Sharia housing developers during Covid-19. This study is also unique for its approach to non-bank Sharia housing as mode of financing.
The Current Rise of Artificial Intelligence and Religious Studies: Some Reflections Based on ChatGPT
Authors: Andriansyah Yuli
Published: June 2023

In recent months, there has been a remarkable surge in artificial intelligence (AI) development, with ChatGPT emerging as a notable application. ChatGPT, an OpenAI chatbot, achieved an impressive milestone of 100 million monthly active users within two months of its launch in January, making it the fastest-growing consumer application to date. Experts predict that AI will significantly impact 50 percent of businesses in the next five years. ChatGPT has already showcased its versatility in the medical field, aiding in tasks like medical exam preparation and serving as an in-office scribe. As its potential in healthcare continues to expand, ChatGPT holds promising prospects for the future. Additionally, research on AI and religion is gaining traction, exploring topics such as ethical implications, integration into religious practices, analysis of religious texts, interfaith dialogue facilitation, and the theological impact of AI on creation. The increasing number of scholarly publications on the subject indicates a growing interest in exploring the complex relationship between artificial intelligence and religion.
ANALGESIC AND ANTI-INFLAMMATORY ACTIVITIES OF THE WATER EXTRACT FROM TERMINALIA CHEBULA REZT.
Authors: Sireeratawong Seewaboon , Jaijoy Kanjana , Khonsung Parirat , Soonthornchareonnon Noppamas
Published: June 2023

Background: In ayurvedic and Thai traditional medicine, the fruit of T. chebula is useful in arthritic disorders, inflammation, tumor, pains, chronic and recurrent fever. The study investigated the analgesic and anti-inflammatory activities in animal models.

Materials and methods: The water extract of T. chebula fruit was prepared and pain induced in mice by 0.1% formalin, before testing for the analgesic activity of the extract. The anti-inflammatory study was conducted in rats using four experimental models; ethyl phenylpropiolate or arachidonic acid-induced ear edema, carrageenan-induced paw edema and cotton pellet-induced granuloma formation.

Results: The T. chebula extract decreased licking times in mice injected with 0.1% formalin in both the early and late phases. Moreover, the extract inhibited rat ear edema induced by ethyl phenylpropiolate as well as in carrageenan-induced paw edema. In contrast, the extract did not have any inhibitory effect on arachidonic acid-induced ear edema in rats. The T. chebula extract did not reduce granuloma weight, body weight gain and thymus dry weight in cotton pellet-induced granuloma formation.

Conclusion: These results likely suggest that T. chebula water extract possess both analgesic and anti-inflammatory activities. The main mechanisms of action of T. chebula water extract may be due to the inhibitory effect on the synthesis and/or release of pain or inflammatory mediators
Thirty-Day Mortality and Complication Rates in Total Joint Arthroplasty After a Recent COVID-19 Diagnosis
Authors: Pincavitch Jami D. , Pisquiy John J. , Wen Sijin , Bryan Nicole , Ammons Jeffrey , Makwana Priyal , Dietz Matthew J. ,   on behalf of the National COVID Cohort Collaborative (N3C) Consortium
Published: June 2023

Background:

The risk of postoperative complications in patients who had a positive COVID-19 test prior to a total joint arthroplasty (TJA) is unknown. The purpose of this investigation was to study the complications and mortality associated with a recent COVID-19 diagnosis prior to TJA.

Methods:

Patients undergoing primary and revision total hip arthroplasties (THAs) or total knee arthroplasties (TKAs) were identified using the National COVID Cohort Collaborative (N3C) Data Enclave. Patients were divided into a COVID-19-positive group (positive polymerase chain reaction [PCR] test, clinical diagnosis, or positive antibody test) and a COVID-19-negative group, and the time from diagnosis was noted. There was no differentiation between severity or acuity of illness available. The postoperative complications reviewed included venous thromboembolism, pneumonia, acute myocardial infarction, readmission rates, and 30-day mortality rates.

Results:

A total of 85,047 patients who underwent elective TJA were included in this study, and 3,516 patients (4.13%) had had a recent positive COVID-19 diagnosis. Patients diagnosed with COVID-19 at 2 weeks prior to TJA were at increased risk of pneumonia (odds ratio [OR], 2.46), acute myocardial infarction (OR, 2.90), sepsis within 90 days (OR, 2.63), and 30-day mortality (OR, 10.61).

Conclusions:

Patients with a recent COVID-19 diagnosis prior to TJA are at greater risk of postoperative complications including 30-day mortality. Our analysis presents critical data that should be considered prior to TJA in patients recently diagnosed with COVID-19.

Level of Evidence:

Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.
A Comparison Review of Various Corticosteroids in the Orthopaedic Setting for Various Injections
Authors: Connolly Saoirse , Hazzard Sean
Published: June 2023

Corticosteroids injections are a common nonsurgical treatment for musculoskeletal conditions. There are a variety of corticosteroids for providers to choose from, but there is little empirical evidence to suggest the use of one over the other for a particular condition. Dexamethasone and triamcinolone acetonide (Kenalog) are 2 such corticosteroids in which the decision to use one is often due to provider opinion or anecdotal evidence. This brief review notes the outcomes of studies comparing these 2 corticosteroids to create a guide for providers.
“Quid Pro Quo”: The Czech Folklore Revival Movement in the Light of Totalitarian Cultural Policy
Authors: Uhlíková Lucie , Pavlicová Martina
Published: June 2023

The paper deals with the transformation of society and culture in totalitarianism through the example of the Czech folklore revival movement between 1948 and 1989. While describing the main objectives of communist cultural policy, the paper observes the reasons for the mass development of folk ensembles in the 1950s, the gradual transformations to their activity, and the philosophy behind it. The degree of cooperation between folk ensembles and political power, as well as the exploitation of these troupes to promote the communist regime, was varied. Politically-engagé performances by such ensembles and their participation in events organized by the totalitarian state apparatus have resulted in many Czech people adopting a negative attitude towards the folklore revival movement as a whole. In the fact most members of these ensembles were not motivated by politics – for many of them, this leisure activity was an escape from reality to the romantically viewed world of folk tradition.
Continuities and Discontinuities in a Transnational Social Field: The Case of the Margovany Roma
Authors: Dobruská Petra , Ort Jan
Published: June 2023

This article is based on long-term field research in an Eastern Slovak Romani settlement and an English town to which Roma migrated from the settlement. The paper attempts to disrupt the bipolar approach toward the migration of Roma to England and, at the same time, to point out the transnational interconnectedness of the Romani community and the replication of inter-group boundary patterns. This dynamic approach to migration allows the authors to also consider a different phenomenon, namely, the religious conversion of Roma to Pentecostal churches. This leads to an observation of parallels in the narratives of conversion and migration, which are both based on a dichotomy of “new” and “old”, and inclusion of the phenomenon of religious conversion in the analysis of migration alongside the highlighting of transnational social networks, the acquiring of secondary social bonds, and the strengthening of local inter-group boundaries.
“Natives” of a “Home” (Un)known: Trips of Expelled and Forcibly Displaced Germans to Czechoslovakia and Their Perception of the Local Population in Expellee Periodicals
Authors: Nosková Jana , Kreisslová Sandra
Published: June 2023

This study focuses on a specific type of tourism (so-called Heimattourismus), the main aim of which is to visit the countries, or better said, the localities that forcibly displaced Germans had to abandon after the end of World War II due to their forced migration, places they consider(ed) one of their ‘homes’. After the first such unofficial trips were made, it is possible to observe a gradual increase in group and individual tourism by forcibly displaced Germans to Czechoslovakia from the second half of the 1950s. In this article, we focus on one of the many subjects related to Heimattourismus, namely, Sudeten German tourists’ reflections about the local populations in their former homeland and the stereotypes constructed by them about these locals. We investigate this subject by analysing reports about such travel that were published by these forcibly displaced persons and expellees in their periodicals from the time such trips began until the mid-1960s.
Literature Review and Experimental Observations of the Effects of Salinity, Hardness, Lithology, and ATBS Content on HPAM Polymer Retention for the Milne Point Polymer Flood
Authors: S. Seright Randall , Wang Dongmei
Published: June 2023

At the Milne Point polymer flood (North Slope of Alaska), polymer retention is dominated by the clay, illite. Illite, and kaolinite cause no delay in polymer propagation in Milne Point core material, but they reduce the effective polymer concentration and viscosity by a significant amount (e.g., 30%), thus reducing the efficiency of oil displacement until the full injected polymer concentration is regained [which requires several pore volumes (PVs) of throughput]. This work demonstrates that polymer retention on illite is not sensitive to monovalent ion concentration, but it increases significantly with increased divalent cation concentration. The incorporation of a small percentage of acrylamido tertiary butyl sulfonic acid (ATBS) monomers into hydrolyzed polyacrylamide (HPAM) polymers is shown to dramatically reduce retention. The results are discussed in context with previous literature reports. Bridging adsorption was proposed as a viable mechanism to explain our results. Interestingly, an extensive literature review reveals that polymer retention (on sands and sandstones) is typically only modestly sensitive to the presence of oil. Extensive examination of the literature on inaccessible pore volume (IAPV) suggests the parameter was commonly substantially overestimated, especially in rock/sand more permeable than 500 md (which comprises the vast majority of existing field polymer floods).
Shifting from information- to experience-based climate change communication increases pro-environmental behavior
Authors: Plechatá Adéla , Hielkema Marijke , Merkl Lisa-Marie , Makransky Guido , Frøst Michael Bom
Published: June 2023

To reach necessary greenhouse gas (GHG) emissions targets, behavioral change is necessary at the consumer level. Nevertheless, behavioral interventions have only a limited impact on habitual behaviors such as beef consumption, which significantly contributes to the GHGs released. Immersive virtual reality (VR) in the metaverse can transform the current information-based environmental communication into more experience-based communication. To study how such a shift might change its effectiveness, we randomly assigned N = 167 participants to a VR experience (experiencing and influencing climate change based on food choices) or a VR information condition (receiving the same information from a virtual human). The VR experience led to higher intentions to reduce meat consumption and more pro-environmental behavior in VR and real life than the information condition. Mediation analyses confirm that experiential VR environmental communication can increase people’s efficacy beliefs, which increase their intentions and, consequently, lead to a reduction in beef consumption.
Stability Analysis of the Ultra-high-speed Aerodynamically Alleviated Marine Vehicle in Waves
Authors: Song Yani , DU Xiaoxu , Hu Yuli
Published: June 2023

The ultra-high-speed aerodynamically alleviated marine vehicle (AAMV) is an unmanned surface vehicle (USV) with the advantages of fast speed, shallow draft, strong wind and wave resistance and long voyage, which fills the gap between high-speed aircrafts and low-speed surface vehicles. To explore the influence of waves on the motion characteristics of the ultra-highspeed AAMV, numerical research on stability of the ultra-high-speed AAMV at different speed and different sea states is carried out. The stability mathematical model of the ultra-high-speed AAMV is established based on the small disturbance linearization theory, and the stability of the vehicle is divided into longitudinal stability and lateral stability. Numerical results show that the ultra-high-speed AAMV shows good longitudinal and lateral stability at cruise speed. At the cruising phase, the pitch angle response, the roll angle response, and the heave response under sea state 5 are 0.210°, 0.0229° and 0.0734m, respectively. With the increase of speed, the aerodynamic force of the ultra-high-speed AAMV gradually increases, and the effect of aerodynamic alleviation is also enhanced accordingly, which greatly weakens the influence of waves on motions. The effect of aerodynamic alleviation can effectively improve the stability of the ultra-high-speed AAMV in waves.
The Effect of Social Frailty on Mental Health and Quality of Life in Older People: A Cross-Sectional Study
Authors: CÖMERTOĞLU EZGİ ODACI , OZTURK Yelda , HAFIZOGLU Merve , KAHYAOGLU Zeynep , CAVUSOGLU Cagatay , BALCI Cafer , DOGU Burcu Balam , HALIL Meltem , CANKURTARAN Mustafa
Published: June 2023

Purpose: This study aims to evaluate anxiety, depression, loneliness, death anxiety, and quality of life and investigate their relationship with social frailty in the geriatric population. Additionally, it aimed to identify social frailty predictors.
Methods: The study included 136 participants admitted to the geriatric outpatient clinic. The 15-item Geriatric Depression Scale (GDS-15), the Multidimensional Scale of Perceived Social Support (MSPSS), the Cumulative Illness Rating Scale for Geriatrics (CIRS-G), the Templer Death Anxiety Scale (T-DAS), the Loneliness Scale for the Elderly (LSE), the Quality of Life Scale (CASP-19), the Generalized Anxiety Disorder-7 Test (GAD-7), the Tilburg Frailty Indicator (TFI), the FRAIL Scale, and the Clinical Frailty Scale (CFS) were performed.The TFI was used to collect data about social frailty.
Results: There were 61.8 % females, and the median age (min-max) was 72.2 (65.3-90.3) years. The prevalence rate of social frailty was 26.7%. The rates of depression, loneliness, anxiety, death anxiety, the burden of chronic disease, and frailty were higher in the social frailty group. Furthermore, logistic regression analysis revealed a strong relationship between social frailty status and being widowed (odds ratio (OR), 6.86; 95% confidence interval (95% CI), 2.42-19.37; p<0.001), having moderate to severe anxiety symptoms (OR, 4.37; 95% CI, 1.08-17.68; p = 0.038), and a TFI-physical frailty score (OR, 1.40; 95% CI, 1.12-1.73; p = 0.002).
Conclusion: As a result, the social dimension of frailty affects older adults' quality of life and psychological state. Physical frailty and sociodemographic characteristics (being widowed) predict the development of social frailty.
Species-specific progenitor sub-domain extends neurogenesis and increases human motor neuron production
Authors: Wichterle Hynek , Jang Sumin , Gunmit Elias
Published: June 2023

Neurogenesis lasts ~10 times longer in developing humans compared to mice, resulting in a >1000-fold increase in the number of neurons in the central nervous system (CNS). To identify molecular and cellular mechanisms contributing to this difference, we studied human and mouse motor neurogenesis using a stem cell differentiation system that recapitulates species-specific scales of development. Comparison of human and mouse single-cell gene expression data identified human-specific progenitors characterized by co-expression of NKX2-2 and OLIG2, two transcription factors that are mutually exclusive during mouse motor neurogenesis. The same progenitor population has been reported in the human embryonic spinal cord1, 2, but its function remained controversial. Lineage tracing revealed that these cells give rise to spinal motor neurons. But unlike classical OLIG2+ motor neuron progenitors (pMNs) that give rise to two motor neurons each, OLIG2+/NKX2-2+ ventral motor neuron progenitors (vpMNs) remain cycling longer, leading to prolonged and expanded neurogenesis yielding ~5 times more motor neurons that preferentially contribute to the later-born FOXP1-expressing subtypes. NKX2-2 is a master regulator of this behavior as knockout of this transcription factor converts vpMNs into cells functioning as classical pMNs. In summary, increased production of human motor neurons relies on the emergence of a novel progenitor sub-domain, underscoring the diversity of developmental mechanisms employed to generate larger, more complex nervous systems.
Effects of bladder function exercise on preoperative localization of high-intensity focused ultrasound for uterine fibroids: a randomized controlled trial
Authors: sha liao , Yan Huang
Published: June 2023

Objective
To investigate the efficacy and safety of bladder function exercise in the preoperative localization of high-intensity focused ultrasound ablation (HIFU) in patients with uterine fibroids.
Methods
From July to December 2021, 110 patients with uterine fibroids who needed preoperative localization of HIFU were included in the study. They were randomly divided into an intervention group and a control group according to the random number table. The intervention group adopted the method of multiple drinking and holding up the urine combined with contracting the levator ani muscle. Patients in the control group drank water and urinated normally, without any other special method guidance and requirements.
Results
The success rates of preoperative localization and bladder deformation in the intervention group were better than the control group, and the utilization rate of the water sac was lower than the control group (p < 0.05). No significant difference was observed in the incidence of bladder irritation or bladder residual urine volume between the intervention and control group (P > 0.05).
Conclusions
The method of multiple drinking and holding up the urine combined with contracting the levator ani muscle can effectively improve the success rate of HIFU preoperative positioning in patients with uterine fibroids and it is safety.
Caspase-3 driven uterine apoptotic changes during arsenic intoxication attenuated by the n-butanol fraction of Moringa seed: interplay informatics of caspase-3 with glucomoringin vs. methyl glucosinolate
Authors: Jana Suryashis , Ghosh Angshita , Dey Arindam , Perveen Hasina , Maity Pikash Pratim , Maji Shilpa , CHATTOPADHYAY SANDIP
Published: June 2023

Background- Replacing invasive chelating therapy by non-invasive oral therapy against arsenic poisoning is indispensable because of the side effects of chelating agents. Aim- The present study was framed to achieve whether n-butanol fraction of Moringa oleifera seed (NB) could repair utero-damages following arsenisation. Methods- The arsenic-treated (10 mg/kg BW) rats received a dose of 50 mg/kg NB. The possible active components present in NB were investigated via HPLC-MS. Analysis of enzymatic antioxidants was accomplished by native gel electrophoresis. Pro and anti-inflammatory indicators were assessed by RT-PCR, and Western blot. ESR-α was detected via immunostaining. Results- Arsenicated rats showed significant augmentation in lipid peroxidation with decreased antioxidant enzymes activities which were considerably reversed by NB administration. Weak ESR-α expression along with distorted uterine histomorphology were retrieved by NB. Altered protein expression along with mRNA expression of inflammatory and apoptotic markers were also significantly recovered by NB. Molecular docking predicted that glucomoringin and methyl glucosinolate of Moringa interacts with the catalytic site of caspase-3 in the way of limiting its activity. Conclusion- NB was successful in restoring the arsenic-mediated uterine hypo-function. The glucomoringin and methyl glucosinolate presents in n-butanol fraction may play a critical role in limiting apoptotic event in arsenicated uterus.
Entropy production by dissipation effects and characteristic vortex evolution in a rocket turbopump
Authors: Li Deyou , Zhu Jiaqi , Zhang Ruiyi , Zhang Yi , Li Zhipeng , Wang Hongjie , Qin Yonglin , Ren Zhipeng
Published: June 2023

The relationship between entropy production and vortex evolution involves the efficiency and stability of rotating machinery. This study investigates the energy characteristics of a rocket turbopump, revealing the correlated mechanisms of the entropy production rate using dissipation effects and characteristic vortex evolution. Direct and turbulent dissipations and rigid and shear vorticity decomposition methods are utilized to analyze the correlation analysis of flow loss and characteristic vorticities in rotating machinery for the first time. With an increase in flow rate, the hydraulic loss of the dissipation effects and wall decrease by 60% and 38.3%, and proportions to the input energy decrease (from 13% to 8%) and remain stable (8%), respectively. The local entropy production rate using direct dissipation (EPDD) in the inducer-impeller is strongly related to shear entropy, and the correlated effect of total enstrophy on EPDD is weaker than that of shear vorticity, indicating that rigid enstrophy suppresses direct dissipation. The correlation between turbulent dissipation and rigid enstrophy is significantly weaker in the static flow passage of a turbopump owing to a weak rigid rotational effect. The correlation between the rigid enstrophy and local entropy production rate using turbulent dissipation (EPTD) gradually increases with increasing flow rate, reaching a medium correlation (the maximal correlated degree in the turbopump) and exhibiting rigid rotation effects on hydraulic loss. Moreover, the flow rate significantly affects the correlation (except for the diffuser) and the two characteristic vorticities reach the maximum at the designed flow rate owing to optimal efficiency and minimum hydraulic loss.
A Multi-component Bioinformatics Study on the Construction of a Prognostic Signature of Genes Associated with Diverse Programmed Cell Death in Acute Leukemia and a Multi-perspective Mechanism Exploration
Authors: Tang Xuewu , Yan Zhiteng
Published: June 2023

Objective
To evaluate the predictive value of diverse PCD related genes on the prognosis of AML patients and explore their roles in the development of AML and immunomodulatory therapy using bioinformatics methods.
Methods
We downloaded clinical and transcriptome sequencing data of AML patients from TCGA, GEO, and GTEX databases. Then, we obtained 12 PCD patterns related genes, including apoptosis, necroptosis, pyroptosis, ferroptosis, cuproptosis, intrinsic cell death, NETosis, dependent cell death, lysosome-dependent cell death, autophagy-dependent cell death, intracellular alkalinization-induced cell death, and reactive oxygen species-induced cell death. We randomly divided the complete AML samples into training and validation sets. A machine learning algorithm was used to establish a 6-gene signature that quantifies the risk score of AML's cell programmed death (PCD-Risk). We validated the predictive performance of PCD-Risk in multiple databases. We determined the molecular subtypes associated with AML through unsupervised clustering analysis. We constructed a bar plot by combining PCD-Risk with clinical features. Additionally, we analyzed the correlation between PCD-Risk and immune checkpoint genes, tumor microenvironment components, and drug sensitivity.
Results
We successfully constructed a prognosis model consisting of 6 PCD-related genes using a machine learning algorithm and validated its predictive accuracy in multiple datasets. The PCD-Riskscore exhibited good predictive performance for AML patients, with an AUC value greater than 0.70 in both the training and validation sets and up to 0.85. We identified two AML-related molecular subtypes through unsupervised clustering analysis, which have different essential biological processes. We constructed a high-predictive bar plot by combining PCD-Risk with clinical features. Moreover, we analyzed the correlation between PCD-Risk and drug sensitivity. The results showed that high-risk scores were resistant to AML chemotherapy drugs (5-fluorouracil, dasatinib, cisplatin, docetaxel, imatinib, paclitaxel, mitoxantrone, olaparib, oxaliplatin, rapamycin, vincristine, and zoledronic acid). Therefore, drugs targeting these genes' regulation may be a potential therapeutic target for AML chemotherapy-resistant patients. Finally, through comprehensive analysis of the overall and single-cell transcriptome, we found that PCD-Riskscore is associated with immune checkpoint genes and tumor microenvironment components.
Conclusion
Our study comprehensively analyzed various PCD pattern-related genes and successfully constructed a new prognosis model that can predict AML patients' prognosis and drug sensitivity.
Creating a Novel Deep Learning Pipeline to Generate and Screen Molecules for Hormone-Positive Breast Cancer Treatment
Authors: Raisinghani Nishank
Published: June 2023

There has been a lot of research done into the implementation of neural networks in the bioinformatics space, specifically with respect to drug discovery. Although there have been many promising steps taken in this direction, there is still a large amount of research yet to be done in this field. In this paper, we design a novel architecture that aims to generate novel molecules that will treat hormone-receptor-positive breast cancer disease. These molecules are aimed to inhibit aromatase, CDK4, CDK6, PI3K, and mTOR proteins. To do this, we used a natural language processor based variational autoencoder. Our model is trained on the ZINC open-source dataset due to its library of 250k drug molecules. To generate our molecules we compiled a test set of about 68 molecules that were already proven to bind to our mentioned target proteins. To measure the initial viability of our generated molecules we used RDKit’s quantitative estimated drug-likeness score, which will help provide insight into the drug-likeness of our generated data. Supplementary models helped predict other properties of our generated molecules, specifically solubility, synthetic accessibility, and toxicity to further heighten our screening process. We used the AutoDock Vina framework to predict the Gibbs Free Energy Score between the molecule and the desired target enzymes. Our experimentation was able to expand and improve upon a previous solubility prediction architecture to procure more accurate results on both solubility and synthetic accessibility of molecules. The goal of our research is to develop a novel high-throughput process to generate and screen for hormone-positive breast cancer drug molecules that can be feasible in the real world. Since the drug discovery space is so large (approximately 1060 molecules), neural networks are a valuable tool to help cut down the time and cost it takes to find these molecules. Through our experimentation, we were able to add a novel improvement to a working VAE framework by refining certain layers of the network’s decoder, leading to the generation of three molecules that passed our screening process and have high viability to be successful in suppressing hormone-positive breast cancer tumor growth.
Structural maturation of myofilaments in engineered 3D cardiac microtissues characterized using small angle X-ray scattering
Authors: Javor Joshua , Ewoldt Jourdan , Zhernenkov Mikhail , Wasik Patryk , Freychet Guillaume , Lee Josh , Brown Dana , Chen Christopher , Bishop David , Dover Geoffrey van
Published: June 2023

Understanding the structural and functional development of human-induced pluripotent stem-cell-derived cardiomyocytes is essential to engineering cardiac tissue that enables pharmaceutical testing, modeling diseases, and designing therapies. Here, we used a method not commonly applied to biological materials, small angle X-ray scattering to characterize the structural development of human induced pluripotent stem-cell-derived cardiomyocytes within 3D engineered tissues during their preliminary stages of maturation. An innovative X-ray scattering experimental setup enabled the visualization of a systematic variation in the cardiomyocyte myofilament spacing with maturation time. The myofilament lattice spacing monotonically decreased as the tissue matured from its initial post-seeding state over the span of ten days. Visualization of the spacing at a grid of positions in the tissue provides a new approach to characterizing the maturation and organization of cardiomyocyte myofilaments and has the potential to help elucidate mechanisms of pathophysiology, disease progression, thereby stimulating new biological hypotheses in stem cell engineering.
From Waste to Wheat: The Impact of Recycled Manganese Sulfate from Dry Cell Batteries on Water-Stressed Wheat Cultivation
Authors: valson aparna , Varma Nimisha , Suman Naveen
Published: June 2023

Micronutrient deficiencies in soils of India have been reported as a significant hindrance to crop productivity, particularly in the semi-arid regions. In this study, we evaluated the efficacy of recycled liquid manganese (2.11% Mn) obtained from dry cell batteries on the growth and yield of wheat plants. Two application methods, foliar application and seed priming, were tested with varying concentrations. Under foliar application, three concentrations were used (0.5%, 0.75%, and 1%), while under seed priming, two concentrations were used (0.05M and 0.1M) combined with different foliar applications. The pot trials showed a significant increase in the yield of wheat with foliar application of manganese. The best results were obtained with 0.75% and 0.5% foliar application, showing early booting and a higher number of plants per 10 cm2. Germination rates were higher in the 0.05M concentration, which combined with 0.75% foliar application, showed the best results. Additionally, resistance to various soil-borne diseases was observed, and the tests were conducted under water stress conditions. Our findings suggest that recycled manganese from dry cell batteries can be an effective and sustainable solution to improve crop yield in regions with micronutrient-deficient soils.
Prognostic Awareness, Preferences for Prognostic Information, and Health-related Quality of Life Among Advanced Cancer Patients in Kenya
Authors: Elias Hussein , Ozdemir Semra , Bairavi Joann , Achieng Emmah , Finkelstein Eric Andrew
Published: June 2023

Background
Little is known about prognostic awareness and preferences for prognostic information among patients with advanced cancer in Kenya. This study aims to fill that gap.
Methods
Outcome variables included a measure of prognostic awareness and preferences for prognostic information. Logistic regressions examined the associations between these variables and patient characteristics including age, years of education, socioeconomic status, and symptom burden.
Results
A substantial proportion of patients (36%) were unaware of their prognosis and most (69%) did not want to receive additional prognostic information. Patients with greater preferences for receiving prognostic information were older, more educated, of lower socioeconomic status, and reported less symptom burden.
Conclusion
The high levels of unawareness and preferences against prognostic information provide a challenge for efforts to increase shared decision-making and patient autonomy among historically disenfranchised populations. Greater efforts to educate patients on the value of prognostic awareness should be encouraged.
Psychological Personality Traits Assessed in 481 Transgender Groups Using the Minnesota Multiphasic Personality Inventory
Authors: Liu Yan , Wang Zhanqiang , Dong Hanwen , Zhang Yueqian , Yang Kebing , Yang Qingyan , Niu Yajuan
Published: June 2023

Objective: To explore the psychological characteristics of personality in transgender groups and whether these characteristics differ according to sociodemographic factors.
Methods: This cross-sectional study was conducted between January 2021 and April 2023 at a psychosexual outpatient clinic in a Beijing psychiatric hospital. 481 individuals were included in this study, and demographic information was collected using a self-administered general information questionnaire, and psychological personality traits were administered using the Minnesota Multiphasic Personality Inventory.
Results: The mean scores of MtFs were higher than the male normals in all 10 clinical factors of the MMPI, and the differences were significant (P<0.01 or P<0.001). Both the Mf and D factors exceeded the clinical threshold (T>60) and were the highest and second highest in the entire scale profile; FtMs were significantly higher than female normals in Hy, Pd, and Ma (P<0.05, P<0.01 or P<0.001); There was a significant difference in the detection rate of abnormal values of different factors of MMPI (T>60) in gender, age and education (P<0.05, P<0.01 or P<0.001).
Conclusion: MtFs may have a variety of psychological distress, especially the need to focus on the primary education, 25 years old and below the transgender female personality psychological development.
Research on Log4j vulnerability and its severity
Authors: Shriyal Swati , Patil Shantanu
Published: June 2023

Objectives- This research paper aims to investigate the Log4j vulnerability, which was recently discovered as a major threat to information systems security. The primary focus of this study is to analyze the vulnerability's technical characteristics, the potential impacts of exploitation, and the available mitigation strategies.
To achieve this objective, the paper will cover the following points:
Overview of the Log4j vulnerability: This section will provide an overview of the Log4j vulnerability, its technical characteristics, and the methods used by attackers to exploit it.
Findings -According to a research paper on the Log4j vulnerability, there was a rush of scanners in the two months following the disclosure of the vulnerability. Multiple vantage points were used to observe the activity, indicating the severity of the issue
Impacts of the Log4j vulnerability: This section will discuss the potential impacts of exploiting the vulnerability, such as data breaches, system downtime, and financial losses.
Mitigation strategies: This section will cover the available mitigation strategies to prevent exploitation of the vulnerability, such as upgrading to the latest version, applying patches, and implementing additional security measures.
Case studies: This section will present case studies of organizations that have been impacted by the Log4j vulnerability and their response to the incident.
Overall, this research paper aims to provide a comprehensive understanding of the Log4j vulnerability, its impacts, and the available mitigation strategies to help organizations protect their information systems from this threat.
COVID-19 Vaccine Acceptance and Hesitancy among University Community members in Otukpo, Nigeria: A Cross-Sectional Study
Authors: Zakari Suleiman , Ogbu Celestine O. , Zakari Hajara , Chioma Eze Sabina , Ijimbili Samuel Bawa , Idoko Jennifer Ene , Emmanuel Andrew Oche , Nnenna Amuji Doris , Agwara Bright Chiaka , Adokiye Efere Sarah , Idowu Ayodeji Oluwafemi , Edegbene Ovie Augustine , Anejo-Okopi Joseph
Published: June 2023

Coronavirus disease (COVID-19) is a global public health problem that has had a detrimental influence on the economy of countries of the world, including Nigeria:
(1) Background: The study assessed the level of COVID-19 vaccine acceptance, hesitancy and its associated factors among staff and students of Federal University of Health Sciences Otukpo, Benue State, Nigeria;
(2) Methods: The web-based cross-sectional survey was conducted between November 2021 and April 2022. The data was collected and analysed using descriptive and inferential statistics;
(3) Results: Of the hundred and fifty (150) completed and analysed questionnaires the mean age of the respondents was 34.8 ± 8.64 years, of which majority of them 80.0% (122) ranging between 16 and 45 years. The majority of the respondents 77.3% (116) have been tested for the virus to know their status. In total, 51.2% of trial participants indicated hesitancy to get the COVID-19 vaccine. The two most frequent reasons for hesitation were scepticism about the vaccination due to fast production and rollout (32.2%) and fear of vaccine side effects due to social media movements (23.3%). The most often cited reasons for not receiving the COVID-19 vaccination included uncertainty about its efficacy, a lack of knowledge about the vaccine, a preference for another kind of protection, and unreliability of the vaccine (due to its rapid development). Staff category (Academics, non-academics, students, and health workers), age, and religion were the significant associated factors influencing vaccine acceptance and hesitancy (P < 0.05);
(4) Conclusions: The university community has a high level of awareness of COVID-19 pandemic but vaccine acceptance is low resulting high levels of vaccine hesitancy. These findings suggest that there is a need for further information and education on the COVID-19 vaccine, particularly in communities where vaccine hesitancy is prevalent. This can be achieved through targeted outreach programs, community engagement initiatives, and effective communication strategies that address the concerns and questions of individuals who are hesitant about receiving the vaccine.
Temperature assessment in newborn: A better method
Authors: PRASHANTH M R , E Pavithra Shree B , B Namratha K
Published: June 2023

BACKGROUND
Accurate temperature assessment is essential in neonatal care as minor temperature changes can have a significant impact on the health and well-being of newborns. The purpose of this study was to compare the performance of three different types of thermometers, including non-contact infrared, digital, and mercury thermometers, for temperature assessment in newborns.
METHODS
This was a prospective, comparative study conducted between April 2022 and August 2022 in Cheluvamba Hospital, Mysuru. A total of 400 healthy newborns were included in the study. Temperature readings were taken from the mid-forehead non-contact infrared thermometer and axilla using digital and mercury thermometers, while maintaining aseptic precautions. Parental oral consent was obtained for participation.
RESULTS
The mean temperature recorded with the digital thermometer in the axilla was statistically higher than that recorded with the mercury thermometer. The non-contact infrared thermometer showed a strong positive correlation with the mercury thermometer for the axilla region.
CONCLUSION
The digital thermometer is a useful device for easy and valid measurement of skin temperature in newborns, especially when applied to the axilla. The findings suggest that the use of digital thermometers for axillary temperature measurement in neonates is supported by previous studies, which have reported their accuracy and reliability in comparison to mercury thermometers. The non-contact infrared thermometer may have limitations and its accuracy may vary depending on the site of measurement. The use of digital thermometers for neonatal temperature measurement may be more convenient, less hazardous, and equally reliable compared to traditional mercury thermometers.
RETRACTED: Structural improvement of 3D woven honeycomb composite liner for enhanced energy absorption and impact performance in aircrew helmet
Authors: Singh Omender , Behera B. K
Published: June 2023

The authors have requested that this preprint be removed from Research Square.
Novel Representation Learning Improves Personalizing Blood Test Ranges and Disease Risk Prediction
Authors: Heydari A. Ali , Prieto Javier , Patel Shwetak , Rezaei Naghmeh
Published: June 2023

Blood tests are an essential tool for healthcare providers to diagnose, monitor, and treat a wide range of medical conditions. however, quantitative approaches for personalizing such metrics are nascent and often ignore important factors such as health behaviors. Moreover, recent studies have shown that raw (untransformed) representations of health records are inadequate for constructing predictive models, especially when considering a single time point. Here, we investigate the association of activity and sleep with blood biomarker ranges, and based on our results, propose Proteus, a new deep metric learning algorithm that accounts for health behaviors. We show that Proteus significantly improves the performance of several downstream analyses, including the prediction of future health risk in currently-healthy patients using a single laboratory visit. Building upon our findings, we additionally introduce DeepRange, a novel lifestyle-informed algorithm, which utilizes deep-learned embeddings for estimating personalized optimal blood test ranges. Our proposed methodology for personalized blood biomarker ranges and single-visit health risk prediction can be readily implemented and has the potential to significantly improve health outcomes by enabling early intervention and enhanced personalization.
A new method based on kernel feature selection topredict important vernalization genes in wheat(Triticum aestivum L.)
Authors: Ashoori Nooshin , Panhai Majid , Ehsan Rahmatizad Khajehpasha , Davoud Koolivand , Reza Fotovat
Published: June 2023

The elucidation of the molecular mechanisms underlying vernalization, a crucial adaptation mechanism for ensuring timelyflowering, is of paramount importance. However, several aspects of this process remain ambiguous. In this paper, we employedthe kernelPLS multivariate feature selection method to identify candidate genes that can accurately predict vernalized versusnon-vernalized states in Norstar winter wheat using a microarray dataset. By employing the nearest neighbor weight difference(NNWD) method to select the most optimal subset of features ranked by kernelPLS, we identified 22 top-ranked genes. ThroughGene Ontology (GO) enrichment analysis, we uncovered the diverse functions of transcription factors and genes involved invernalization and the modulation of flowering, shedding light on the regulation of cold responses. The efficacy of our approachwas validated through rigorous evaluation using real data, which further supports the robustness of our method. Thus, ourproposed method represents a potent strategy for predicting pivotal genes associated with vernalization, thereby contributing toa deeper understanding of this crucial phenomenon.
On the relationship between maximum tree height, elevation and climate in European mountain ranges
Authors: Gelabert Pere , Rodrigues Marcos , Coll Lluís , Vega-Garcia Cristina , Ameztegui Aitor
Published: June 2023

Mountain forests face significant threats from global change and spatio-temporal variation in tree height can help to monitor these effects. While tree height is typically measured through field inventories, remote sensing can provide accurate and extensive forest structure data. In this study, we used the Global Ecosystem Dynamics Investigation space-borne laser sensor (GEDI) to examine the relationship between maximum tree height and elevation, temperature, and precipitation in the main European mountain ranges. We found a non-linear relationship between elevation and maximum tree height in all mountain ranges, supporting the existence of a common breakpoint that marks the beginning of the tree development limitation. Temperature and precipitation were identified as the most important drivers of tree height variation. Additionally, we predicted significant upward displacement of the breakpoint under climate change scenarios, potentially increasing the area without growth limitations for trees. However, the displacement of the breakpoint may not align with the movement of the treeline, impacting on alpine ecosystems. These findings contribute to understanding the impacts of global warming on mountain forest ecosystems and provide insights for their monitoring and managing.
Quorum sensing bacteria improve microbial networks stability and complexity in wastewater treatment plants
Authors: Liu Qiuju , Hu Jie , Jin Ying , Wang Qian , Zhao Fuzheng , Wu Linwei , Zhou Dandan , Wang Jinfeng , Ren Hongqiang
Published: June 2023

Background
Quorum-sensing bacteria (QSB) are crucial for microbial communication, yet their ecological role in wastewater treatment plants (WWTPs) remains unclear. In this study, targeting 130 WWTPs across China, we aimed to construct an identification method for QSB and to explore the abundance distribution of QSB in activated sludge communities and its role in community structure.
Results
We developed a method to identify QSB by comparing 16S rRNA gene sequences. QSB in 388 activated sludge samples collected from 130 WWTPs across China were primarily identified as rare taxa and conditionally rare taxa. A co-occurrence network shared by all sludge communities revealed that QSB exhibited a higher average clustering coefficient (0.46) than non-QSB (0.15). Individual sludge networks demonstrated that quorum sensing microbiomes positively correlated with network robustness and complexity, including average clustering coefficient and link density. Compared with the abundance and richness of QSB, the number of quorum sensing keystones was especially critical for network robustness and connectivity. Additionally, average connectivity, average clustering coefficient and relative modularity strongly correlated with network robustness (r = 0.70–0.90), indicating the positive relationship between network complexity and stability. Hence, QSB contribute to maintaining the community stability of activated sludge.
Conclusions
We elucidated the ecological significance of QSB and provide guidance for improving the community structure in an artificial ecosystem.