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Nevin Manimala Statistics

Opinion dynamics on biased dynamical networks: Beyond rare opinion updating

Chaos. 2024 Mar 1;34(3):033133. doi: 10.1063/5.0192642.

ABSTRACT

Opinion dynamics is of paramount importance as it provides insights into the complex dynamics of opinion propagation and social relationship adjustment. It is assumed in most of the previous works that social relationships evolve much faster than opinions. This is not always true in reality. We propose an analytical approximation to study this issue for arbitrary time scales between opinion adjustment and network evolution. To this end, the coefficient of determination in statistics is introduced and a one-dimensional stable manifold is analytically found, i.e., the most likely trajectory. With the aid of the stable manifold, we further obtain the fate of opinions and the consensus time, i.e., fixation probability and fixation time. We find that for in-group bias, the more likely individuals are to adopt the popular opinion, the less likely the majority opinion takes over the population, i.e., conformity inhibits the domination of popular opinions. This counterintuitive result can be interpreted from a game perspective, in which in-group bias refers to a coordination game and rewiring probability refers to a rescaling of the selection intensity. Our work proposes an efficient approximation method to foster the understanding of opinion dynamics in dynamical networks.

PMID:38552181 | DOI:10.1063/5.0192642

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Nevin Manimala Statistics

Statistical methods for linking material composition to recombination losses in optoelectronic devices

Rev Sci Instrum. 2024 Mar 1;95(3):033908. doi: 10.1063/5.0185357.

ABSTRACT

In light of the accumulation of characterization measurement data in the industrial production of solar cell devices, the investigation of a large amount of samples by statistical means lends itself to be a useful tool to gain further insights into how the data correlate with performance parameters. However, due to the multicollinearity among high-dimensional input parameters of compositional data, revealing the underlying patterns may prove to be a difficult endeavor. In this work, we present statistics consisting of 280 thin-film solar cell samples based on Cu(In, Ga)(S, Se)2 absorber layers whose depth-resolved composition was assessed by glow-discharge optical emission spectroscopy (GDOES). After parameterization of the features of [Ga]/([Ga] + [In])and[S]/([S] + [Se]) gradings, we employ two-way clustering in order to group samples and features by their similarity. In addition, using principal component analysis, information in the dataset, which is irrelevant to the problem, is removed by dimensionality reduction. In this way, it is possible to create a map that provides an overview of the GDOES data of all samples in their entirety, including correlations among features. More importantly, it also opens up a more precise way to plan further improvements in the compositional gradings by unveiling a path along which the experimenter can read the feature changes concerned with an improvement in the open-circuit voltage deficit or any other target parameter of interest. New samples can then be assigned to existing cluster centroids to predict what target parameter value they would assume.

PMID:38552175 | DOI:10.1063/5.0185357

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Nevin Manimala Statistics

Depletion Strategies for Crystallized Layers of Two-Dimensional Nanosheets to Enhance Lithium-Ion Conductivity in Polymer Nanocomposites

ACS Macro Lett. 2024 Mar 29:453-460. doi: 10.1021/acsmacrolett.3c00756. Online ahead of print.

ABSTRACT

The assembly of long-range aligned structures of two-dimensional nanosheets (2DNSs) in polymer nanocomposites (PNCs) is in urgent need for the design of nanoelectronics and lightweight energy-storage materials of high conductivity for electricity or heat. These 2DNS are thin and exhibit thermal fluctuations, leading to an intricate interplay with polymers in which entropic effects can be exploited to facilitate a range of different assemblies. In molecular dynamics simulations of experimentally studied 2DNSs, we show that the layer-forming crystallization of 2DNSs is programmable by regulating the strengths and ranges of polymer-induced entropic depletion attractions between pairs of 2DNSs, as well as between single 2DNSs and a substrate surface, by exclusively tuning the temperature and size of the 2DNS. Enhancing the temperature supports the 2DNS-substrate depletion rather than crystallization of 2DNSs in the bulk, leading to crystallized layers of 2DNSs on the substrate surfaces. On the other hand, the interaction range of the 2DNS-2DNS depletion attraction extends further than the 2DNS-substrate attraction whenever the 2DNS size is well above the correlation length of the polymers, which results in a nonmonotonic dependence of the crystallization layer on the 2DNS size. It is demonstrated that the depletion-tuned crystallization layers of 2DNSs contribute to a conductive channel in which individual lithium ions (Li ions) migrate efficiently through the PNCs. This work provides statistical and dynamical insights into the balance between the 2DNS-2DNS and 2DNS-substrate depletion interactions in polymer-2DNS composites and highlights the possibilities to exploit depletion strategies in order to engineer crystallization processes of 2DNSs and thus to control electrical conductivity.

PMID:38552169 | DOI:10.1021/acsmacrolett.3c00756

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Nevin Manimala Statistics

Environment-specific virocell metabolic reprogramming

ISME J. 2024 Mar 29:wrae055. doi: 10.1093/ismejo/wrae055. Online ahead of print.

ABSTRACT

Viruses impact microbial systems through killing hosts, horizontal gene transfer, and altering cellular metabolism, consequently impacting nutrient cycles. A virus-infected cell, a “virocell”, is distinct from its uninfected sister cell as the virus commandeers cellular machinery to produce viruses rather than replicate cells. Problematically, virocell responses to the nutrient-limited conditions that abound in nature are poorly understood. Here we used a systems biology approach to investigate virocell metabolic reprogramming under nutrient limitation. Using transcriptomics, proteomics, lipidomics, and endo- and exo-metabolomics, we assessed how low phosphate (low-P) conditions impacted virocells of a marine Pseudoalteromonas host when independently infected by two unrelated phages (HP1 and HS2). With the combined stresses of infection and nutrient limitation, a set of nested responses were observed. First, low-P imposed common cellular responses on all cells (virocells and uninfected cells), including activating the canonical P-stress response, and decreasing transcription, translation, and extracellular organic matter consumption. Second, low-P imposed infection-specific responses (for both virocells), including enhancing nitrogen assimilation and fatty acid degradation, and decreasing extracellular lipid relative abundance. Third, low-P suggested virocell-specific strategies. Specifically, HS2-virocells regulated gene expression by increasing transcription and ribosomal protein production, whereas HP1-virocells accumulated host proteins, decreased extracellular peptide relative abundance, and invested in broader energy and resource acquisition. These results suggest that although environmental conditions shape metabolism in common ways regardless of infection, virocell-specific strategies exist to support viral replication during nutrient limitation, and a framework now exists for identifying metabolic strategies of nutrient-limited virocells in nature.

PMID:38552150 | DOI:10.1093/ismejo/wrae055

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Nevin Manimala Statistics

Profiling injuries sustained following implementation of a progressive load carriage program in United States marine corps recruit training

Work. 2024 Mar 29. doi: 10.3233/WOR-230569. Online ahead of print.

ABSTRACT

BACKGROUND: Load carriage tasks during United States Marine Corps (USMC) recruit training can cause injury. Load carriage conditioning, if optimized, can reduce injury risk.

OBJECTIVE: To compare injuries sustained by USMC recruits following participation in either the Original Load Carriage (OLC) program or a Modified Load Carriage (MLC) program.

METHODS: Retrospective musculoskeletal injury data were drawn from the USMC San Diego Sports Medicine injury database for recruits completing the OLC (n = 2,363) and MLC (n = 681) programs. Data were expressed as descriptive statistics and a population estimate of the OLC:MLC relative risk ratio (RR) was calculated.

RESULTS: The proportion of injuries sustained in the MLC cohort (n = 268; 39% : OLC cohort, n = 1,372 : 58% ) was lower, as was the RR (0.68, 95% CI 0.61- 0.75). The leading nature of injury for both cohorts was sprains and strains (OLC n = 396, 29% ; MLC n = 66; 25% ). Stress reactions were proportionally higher in MLC (n = 17, 6% ; OLC n = 4, 0.3% ), while stress fractures were proportionately lower (MLC n = 9, 3% ; OLC n = 114, 8% ). Overuse injuries were lower in MLC (- 7% ). The knee, lower leg, ankle, and foot were the top four bodily sites of injuries and the Small Unit Leadership Evaluation (SULE), Crucible, overuse-nonspecific, running, and conditioning hikes were within the top five most common events causing injury. The prevalence rates of moderate severity injury were similar (MLC = 23% ; OLC = 24% ), although MLC presented both a higher proportion and prevalence of severe injuries (MLC = 6% ; OLC = 3% , respectively).

CONCLUSION: A periodized load carriage program concurrently increased exposure to load carriage hikes while reducing injuries both during the load carriage hikes and overall.

PMID:38552130 | DOI:10.3233/WOR-230569

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Nevin Manimala Statistics

Self-Reported Late-Life Hypertension Is Associated with a Healthy Cognitive Status and Reduced Alzheimer’s Disease Pathology Burden

J Alzheimers Dis. 2024 Mar 25. doi: 10.3233/JAD-231429. Online ahead of print.

ABSTRACT

BACKGROUND: While mid-life hypertension represents a risk factor for the development of Alzheimer’s disease (AD), the risk after the age of 65 is less certain. Establishing relationships between late life hypertension and the pathological changes of AD could be crucial in understanding the relevance of blood pressure as a risk factor for this disorder.

OBJECTIVE: We investigated associations between self-reported late-life hypertension, cognitive status and AD pathology at death. The impact of antihypertensive medication was also examined.

METHODS: Using the Cornell Medical Index questionnaire, we ascertained whether participants had ever reported hypertension. We also noted use of antihypertensive medication. The donated brains of 108 individuals were assessed for AD pathology using consensus guidelines. Statistical analysis aimed to elucidate relationships between hypertension and AD pathology.

RESULTS: We found no associations between self-reported hypertension and cognitive impairment at death. However, those with hypertension were significantly more likely to exhibit lower levels of AD pathology as measured by Thal phase, Braak stage, CERAD score, and NIA-AA criteria-even after controlling for sex, level of education and presence of APOEɛ4 allele(s). No significant associations could be found when examining use of antihypertensive medications.

CONCLUSIONS: Our findings suggest that late-life hypertension is associated with less severe AD pathology. We postulate that AD pathology may be promoted by reduced cerebral blood flow.

PMID:38552117 | DOI:10.3233/JAD-231429

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Nevin Manimala Statistics

Impact of FilmArray respiratory panel test for hospitalized pediatric respiratory tract infection in Taiwan: A 3-year single-center cohort study

Medicine (Baltimore). 2024 Mar 29;103(13):e37320. doi: 10.1097/MD.0000000000037320.

ABSTRACT

Respiratory tract infections are prevalent and clinically significant in pediatric populations globally. However, pathogen testing often involves time-consuming processes, resulting in delays in diagnosis. To date, commercial testing machines, such as the FilmArray respiratory panel, have been proposed for hospitals. Therefore, this study aimed to investigate the impact of the FilmArray respiratory panel at a single center. This study utilized the medical records of our hospital to select pediatric inpatients with respiratory tract infections who underwent the FilmArray respiratory panel between September 2020 and April 2021 and those who did not undergo nucleic acid detection (a rapid test group) between September 2019 and April 2020. FilmArray is a polymerase chain reaction-based diagnostic tool. The FilmArray respiratory panel group was scheduled to recruit 150 patients (final 137 patients), whereas the rapid test group was scheduled to recruit 300 patients (final 267 patients). Differences in continuous variables between the 2 groups were analyzed using independent Student t tests. The FilmArray respiratory panel group had a longer length of inpatient days, longer duration of antibiotic use, and higher proportion of pathogens that tested positive, with significant differences than those in the rapid test group. Fever duration showed no significant difference between the 2 groups. For the polymerase chain reaction method, respiratory syncytial virus was the most commonly detected pathogen causing pneumonia, followed by human rhinovirus/enterovirus and parainfluenza virus. Mycoplasma was detected using the rapid test but not with the FilmArray respiratory panel. The FilmArray respiratory panel provides clinicians with a rapid and useful diagnostic tool. The effect was quite good for virus detection, but not for bacteria. Given its limited adoption, the tool may not aid clinicians in the diagnosis of mild cases.

PMID:38552101 | DOI:10.1097/MD.0000000000037320

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Nevin Manimala Statistics

Research status and hotspots on the mechanisms of liver X receptor in cancer progression: A bibliometric analysis

Medicine (Baltimore). 2024 Mar 29;103(13):e37126. doi: 10.1097/MD.0000000000037126.

ABSTRACT

BACKGROUND: The mechanism of liver X receptor in cancer has been gradually revealed in recent years. This study is committed to analyzing the current research status of the mechanism of liver × receptor in cancer progression by using bibliometric methods and to explore the development trend of liver × receptor related research in the future, in order to provide some reference for further exploration in this field.

METHODS: The Web of Science core collection database was used to carry out the original data retrieval. Excel software was used for data statistics. Vosviewer and CiteSpace software were used to analyze the publication situation, cooperation network, reference co-citation, keyword and term co-occurrence, term bursts, and cluster analysis, and draw visual maps.

RESULTS: A total of 631 publications meeting the research criteria were included by December 2022, with an average of 32.5 citations per paper. The main research fields were molecular biology, oncology and cell biology, and the papers were mainly published in journals about molecular, biology and immunology. Cell is the journal with the highest citation. The United States is the most influential country, the University of California, Los Angeles is the main research institution, and Gustafsson, Jan-ake is the author with the highest output. In reference co-citation clustering, cluster#2 “cancer development” is the main cluster, and the period from 2014 to 2018 is an important stage of relevant theoretical progress. “Tumor microenvironment” with high burst and novelty became the most noteworthy term in term burst.

CONCLUSION: Using bibliometric methods to reveal the current status of LXR and cancer mechanisms, and making predictions of possible future hotspots based on the analysis of the current situation, the translation of LXR anti-cancer research to clinical applications, the impact on the tumor microenvironment as a whole and more immune pathways, and the formation of a systematic cognition of the effects of more cancer cell lines and oncogenic signaling crosstalk, which is a possible direction for future research.

PMID:38552096 | DOI:10.1097/MD.0000000000037126

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Nevin Manimala Statistics

Study on the optimal time limit of frozen embryo transfer and the effect of a long-term frozen embryo on pregnancy outcome

Medicine (Baltimore). 2024 Mar 29;103(13):e37542. doi: 10.1097/MD.0000000000037542.

ABSTRACT

In this retrospective study conducted at Sichuan Jinxin Xinan Women and Children’s Hospital spanning January 2015 to December 2021, our objective was to investigate the impact of embryo cryopreservation duration on outcomes in frozen embryo transfer. Participants, totaling 47,006 cycles, were classified into 3 groups based on cryopreservation duration: ≤1 year (Group 1), 1 to 6 years (Group 2), and ≥6 years (Group 3). Employing various statistical analyses, including 1-way ANOVA, Kruskal-Wallis test, chi-square test, and a generalized estimating equation model, we rigorously adjusted for confounding factors. Primary outcomes encompassed clinical pregnancy rate and Live Birth Rate (LBR), while secondary outcomes included biochemical pregnancy rate, multiple pregnancy rate, ectopic pregnancy rate, early and late miscarriage rates, preterm birth rate, neonatal birth weight, weeks at birth, and newborn sex. Patient distribution across cryopreservation duration groups was as follows: Group 1 (40,461 cycles), Group 2 (6337 cycles), and Group 3 (208 cycles). Postcontrolling for confounding factors, Group 1 exhibited a decreased likelihood of achieving biochemical pregnancy rate, clinical pregnancy rate, and LBR (OR < 1, aOR < 1, P < .05). Furthermore, an elevated incidence of ectopic pregnancy was observed (OR > 1, aOR > 1), notably significant after 6 years of freezing time [aOR = 4.141, 95% confidence intervals (1.013-16.921), P = .05]. Cryopreservation exceeding 1 year was associated with an increased risk of early miscarriage and preterm birth (OR > 1, aOR > 1). No statistically significant differences were observed in birth weight or sex between groups. However, male infant birth rates were consistently higher than those of female infants across all groups. In conclusion, favorable pregnancy outcomes align with embryo cryopreservation durations within 1 year, while freezing for more than 1 year may diminish clinical pregnancy and LBRs, concurrently elevating the risk of ectopic pregnancy and preterm birth.

PMID:38552082 | DOI:10.1097/MD.0000000000037542

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Nevin Manimala Statistics

Associations between gut microbiota and gynecological cancers: A bi-directional two-sample Mendelian randomization study

Medicine (Baltimore). 2024 Mar 29;103(13):e37628. doi: 10.1097/MD.0000000000037628.

ABSTRACT

Growing evidence has suggested that gut microbiota is associated with gynecologic cancers. However, whether there is a causal relationship between these associations remains to be determined. A two-sample Mendelian randomization (MR) evaluation was carried out to investigate the mechanism associating gut microbiota and 3 prevalent gynecological cancers, ovarian cancer (OC), endometrial cancer, and cervical cancer as well as their subtypes in individuals of European ancestry. The Genome-wide association studies statistics, which are publically accessible, were used. Eligible instrumental single nucleotide polymorphisms that were significantly related to the gut microbiota were selected. Multiple MR analysis approaches were carried out, including inverse variance weighted, MR-Egger, Weighted Median methods, and a range of sensitivity analyses. Lastly, we undertook a reverse MR analysis to evaluate the potential of reverse causality. We sifted through 196 bacterial taxa and identified 33 suggestive causal relationships between genetic liability in the gut microbiota and gynecological cancers. We found that 11 of these genera could be pathogenic risk factors for gynecological cancers, while 19 could lessen the risk of cancer. In the other direction, gynecological cancers altered gut microbiota composition. Our MR analysis revealed that the gut microbiota was causally associated with OC, endometrial cancer, and cervical cancer. This may assist in providing new insights for further mechanistic and clinical studies of microbiota-mediated gynecological cancer.

PMID:38552081 | DOI:10.1097/MD.0000000000037628