Potential Influence Research Articles

A novel variable-coefficient extended Davey–Stewartson system for internal waves in the presence of background flows

We propose a novel variable-coefficient Davey–Stewartson type system for studying internal wave phenomena in finite-depth stratified fluids with background flows, where the upper- and lower-layer fluids possess distinct velocity potentials, and the variable-coefficient terms are primarily controlled by the background flows. This realizes the first application of variable-coefficient DS-type equations in the field of internal waves. Compared to commonly used internal wave models, this system not only describes multiple types of internal waves, such as internal solitary waves, internal breathers, and internal rogue waves, but also aids in analyzing the impact of background flows on internal waves. We provide the influence of different background flow patterns on the dynamic behavior and spatial position of internal waves, which contribute to a deeper understanding of the mechanisms through which background flows influence internal waves. Furthermore, the system is capable of capturing variations in the velocity potentials of the upper and lower layers. We discover a connection between internal waves under the influence of background flows and velocity potentials. Through the variations in velocity potentials within the flow field, the dynamic behaviors of internal waves can be indirectly inferred, their amplitude positions located, and different types of internal waves distinguished. This result may help address the current shortcomings in satellite detection of internal wave dynamics and internal rogue waves.

Selective electrodialysis for nutrient recovery and pharmaceutical removal from liquid digestate: Pilot-scale investigation and potential fertilizer production

The present research employs a pilot-scale selective electrodialysis system to treat liquid digestate, fractionating nutrient ions and exploring fertilizer creation via ammonia stripping and phosphorus precipitation, while studying pharmaceutical transport behavior and examining membrane fouling. The influence of diverse potentials was studied in simulated and real digestate, with 30 V application proven more efficient overall. Applying consecutive runs resulted in products that were 7.9, 7.4, 1.7, 5.3, and 6 times more concentrated compared to the feed solution for NH4+, K+, PO43-, Ca2+, and Mg2+, respectively. Pharmaceuticals analysis showed that ciprofloxacin was completely retained in the liquid digestate, while ibuprofen was detected in the anionic product. Diclofenac was initially present in the digestate but was undetectable in the final products, suggesting it adhered to the membrane. Membranes showed inorganic and organic fouling. The monovalent cation exchange membrane had severe salt scaling, showing calcium and magnesium deposits, and fewer functional groups.

Marble-hosted noble spinel deposits from the Luc Yen District (Vietnam): mineral equilibria involving corundum and spinel

Thermodynamic analysis is carried out for the model systems: (1) Na–Ca–Mg–A1–Si–CO2–H2O and (2) Ca–Mg–A1–Si–CO2–H2O. In each systems the mineral equilibria involving dolomite, calcite, spinel, corundum, pargasite, hydroxylclinohumite, and diaspore are considered. A diagram of the multisystem in coordinates μH2O-μCO2is constructed. Analysis showed a significant influence of chemical potentials of water and carbon dioxide in the mineral-forming medium on stability of corundum and spinel in marbles. The conditions of the spinel formation during metamorphism of protolith consisting of carbonate sediments with evaporites lenses and terrigenous material (smectites, bauxites, etc.), are considered in detail. The conditions of the replacement of spinel by corundum during retrograde metamorphism are determined depending on the mole fraction of CO2 in the fluid and temperature at pressure of 5 kbar.

Prognostic factors of first-onset optic neuritis based on diagnostic criteria and antibody status: a multicentre analysis of 427 eyes

BackgroundOptic neuritis (ON) prognosis is influenced by various factors including attack severity, underlying aetiologies, treatments and consequences of previous episodes. This study, conducted on a large cohort of first ON...

Approaching the Conformal Limit of Quark Matter with Different Chemical Potentials

We study in detail the influence of different chemical potentials (baryon, electric charge, strange, and neutrino) on how and how fast a free gas of quarks in the zero-temperature limit reaches the conformal limit. We discuss the influence of non-zero masses, the inclusion of leptons, and different constraints, such as charge neutrality, zero-net strangeness, and fixed lepton fraction. We also investigate for the first time how the symmetry energy of the system under some of these conditions approaches the conformal limit. We find that the inclusion of all quark masses (even the light ones) can produce different results depending on the chemical potential values or constraints assumed. A positive or negative deviation of 10% from the pressure of free massless quarks with the same chemical potential was found to take place as low as μB=77 to as high as 48,897 MeV. This illustrates the fact that the “free” or conformal limit is not a unique description. Finally, we briefly discuss what kind of corrections are expected from perturbative QCD as one goes away from the conformal limit.

INFLUENCE OF THE LINGUISTIC RELATIVITY ON LEARNING AND WORK OF ARTIFICIAL INTELLIGENCE

The article analyses infl uence of linguistic relativity on existing neural networks, as well as to the fore-cast of the potential infl uence of this principle in the future on more advanced neural networks. The investigation provides an analysis of language situations when working with neural networks and a demonstration of specifi c examples of the infl uence of language on the work of AI, as well as possible situations of obtaining a positive eff ect when training neural networks considering the infl uence of linguistic relativity. Experiments conducted on neural networks demonstrating the existence of such an infl uence are described. The principles that allow to begin work on the formation of a framework for interaction with AI are formulated. The principle of engagement, which assumes that the factor of AI involvement in working with natural language not only in meanings, but also in connotations is to be taken into account. The principle of Kaja: to avoid endowing AI with consciousness and private world and not to use such metaphors.

Learning QM/MM potential using equivariant multiscale model.

The machine learning (ML) method emerges as an efficient and precise surrogate model for high-level electronic structure theory. Its application has been limited to closed chemical systems without considering external potentials from the surrounding environment. To address this limitation and incorporate the influence of external potentials, polarization effects, and long-range interactions between a chemical system and its environment, the first two terms of the Taylor expansion of an electrostatic operator have been used as extra input to the existing ML model to represent the electrostatic environments. However, high-order electrostatic interaction is often essential to account for external potentials from the environment. The existing models based only on invariant features cannot capture significant distribution patterns of the external potentials. Here, we propose a novel ML model that includes high-order terms of the Taylor expansion of an electrostatic operator and uses an equivariant model, which can generate a high-order tensor covariant with rotations as a base model. Therefore, we can use the multipole-expansion equation to derive a useful representation by accounting for polarization and intermolecular interaction. Moreover, to deal with long-range interactions, we follow the same strategy adopted to derive long-range interactions between a target system and its environment media. Our model achieves higher prediction accuracy and transferability among various environment media with these modifications.

Smartphone addiction and adolescent mental health: a cross-sectional study in West Sumatra province

In West Sumatra Province, Indonesia, approximately 13.01% of individuals aged 15 years or older are affected by mental and emotional disorders, ranking it as the third highest among the 34 provinces. Excessive smartphone use has emerged as a potential influencer of mental health, associated with social networking addiction, shyness, and low self-esteem. This study aimed to examine the relationship between smartphone addiction and mental health issues in adolescents using a cross-sectional design. The sample included 283 randomly selected students aged 15-17 years. Smartphone addiction was measured using the smartphone addiction scale-short version (SAS-SV), and mental health was assessed using the strength and difficulties questionnaire (SDQ). The study revealed a significant association (p<0.001) between smartphone addiction and mental health problems among adolescents, with 72.1% of respondents experiencing smartphone addiction and 26.9% classified as having abnormal mental health. These findings emphasize the need for increased awareness regarding the negative impact of excessive smartphone use on adolescent mental health. Schools should play a vital role in addressing this issue through the provision of guidance and counseling services. Future research should investigate causal relationships using longitudinal designs and consider diverse populations to enhance the generalizability of the results.

Delayed fracture behavior of ultra-high-strength mooring chain steel evaluated by potentiostatic hydrogen-charging combined with SSRT

The influence of hydrogen charging potentials on the hydrogen embrittlement susceptibility of R6 ultra-high strength mooring chain steel was investigated via constant potential hydrogen charging slow strain rate tensile tests combined with thermal desorption analysis. The results reveal that hydrogen charging leads to a 38.94% decrease in elongation, while the impact on tensile strength is relatively minor. Furthermore, the specimens experienced intergranular cracking at the critical potential of −1150 mV, with the size of the brittle region increasing as the negative charging potential becomes more negative. And, hydrogen atoms can cause local embrittlement of materials and increase KAM value.

Spatiotemporal modulated solitons in a quasi-one-dimensional spin-1 Bose–Einstein condensates

In this paper, we investigate the nonautonomous bright/dark solitons in a quasi-one-dimensional spin-1 Bose–Einstein condensates through a three coupled Gross–Pitaevskii (GP) system with space–time-dependent external potential and temporally modulated gain/loss distributions. Based on the Hirota bilinear method, we analytically construct the bright soliton solutions when the coupled GP system exhibits attractive interactions, while we obtain the dark soliton solutions when the coupled GP system exhibits repulsive interactions. The influence of spatiotemporal modulated external potentials, such as the gain/loss distribution Γ(t), on bright/dark soliton dynamics is analyzed in detail via the analytical solutions. By taking different Γ(t), we obtain different types of bright solitons, including periodic, dromion-like and parabolic solitons, and also derive dark solitons on different backgrounds, such as periodic, parabolic and kink backgrounds. We analyze the regulatory effects of different wavenumber ratios on the attraction and squeezing of bound-state solitons. Through the asymptotic analysis, we find that the interactions between two solitons are elastic. In addition, we conduct research on the forward and inverse problems of the above results via the parallel hard-constraint physical informed neural network (phPINN) method. The predicted solitons and potential functions are in good agreement with the exact solitons and potential in the system.

From Gut to Glucose: A Comprehensive Review on Functional Foods and Dietary Interventions for Diabetes Management.

In the realm of diabetes research, considerable attention has been directed toward elucidating the intricate interplay between the gastrointestinal tract and glucose regulation. The gastrointestinal tract, once exclusively considered for its role in digestion and nutrient assimilation, is presently acknowledged as a multifaceted ecosystem with regulatory supremacy over metabolic homeostasis and glucose metabolism. Recent studies indicate that alterations in the composition and functionality of the gut microbiota could potentially influence the regulation of glucose levels and glucose homeostasis in the body. Dysbiosis, characterized by perturbations in the equilibrium of gut microbial constituents, has been irrevocably linked to an augmented risk of diabetes mellitus (DM). Moreover, research has revealed the potential influence of the gut microbiota on important factors, like inflammation and insulin sensitivity, which are key contributors to the onset and progression of diabetes. The key protagonists implicated in the regulation of glucose encompass the gut bacteria, gut barrier integrity, and the gut-brain axis. A viable approach to enhance glycemic control while concurrently mitigating the burden of comorbidities associated with diabetes resides in the strategic manipulation of the gut environment through adapted dietary practices. This review aimed to provide a deep understanding of the complex relationship between gut health, glucose metabolism, and diabetes treatment. This study has presented an exhaustive overview of dietary therapies and functional foods that have undergone extensive research to explore their potential advantages in the management of diabetes. It looks into the role of gut health in glucose regulation, discusses the impact of different dietary elements on the course of diabetes, and evaluates how well functional foods can help with glycemic control. Furthermore, it investigates the mechanistic aspects of these therapies, including their influence on insulin sensitivity, β-cell activity, and inflammation. It deliberates on the limitations and potential prospects associated with integrating functional foods into personalized approaches to diabetes care.

Investigating direct current potentials that affect native protein conformation during trapped ion mobility spectrometry-mass spectrometry.

Trapped ion mobility spectrometry-time-of-flight mass spectrometry (TIMS-TOFMS) has emerged as a tool to study protein conformational states. In TIMS, gas-phase ions are guided across the IM stages by applying direct current (DC) potentials (D1-6), which, however, might induce changes in protein structures through collisional activation. To define conditions for native protein analysis, we evaluated the influence of these DC potentials using the metalloenzyme bovine carbonic anhydrase (BCA) as primary test compound. The variation of DC potentials did not change BCA-ion charge and heme content but affected (relative) charge-state intensities and adduct retention. Constructed extracted-ion mobilograms and corresponding collisional cross-section (CCS) profiles gave useful insights in (alterations of) protein conformational state. For BCA, the D3 and D6 potential (which are applied between the deflection transfer and funnel 1 [F1] and the accumulation exit and the start of the ramp, respectively) had most profound effects, showing multimodal CCS distributions at higher potentials indicating gradual unfolding. The other DC potentials only marginally altered the CCS profiles of BCA. To allow for more general conclusions, five additional proteins of diverse molecular weight and conformational stability were analyzed, and for the main protein charge states, CCS profiles were constructed. Principal component analysis (PCA) of the obtained data showed that D1 and D3 exhibit the highest degree of correlation with the ratio of folded and unfolded protein (F/U) as extracted from the mobilograms obtained per set D potential. The correlation of D6 with F/U and protein charge were similar, and D2, D4, and D5 showed an inverse correlation with F/U but were correlated with protein charge. Although DC boundary values for induced conformational changes appeared protein dependent, a set of DC values could be determined, which assured native analysis of most proteins.

Greece’s current water and wastewater regulations and the risks they pose to environmental hygiene and public health, as recommended by the European Union Commission

To address emerging environmental issues, the European Union (EU) regularly updates its directives and regulations in the areas of wastewater treatment, water reuse, and water quality. The plan specifies standards for safe water reuse as well as quality requirements for treated wastewater. Legislation and regulations in Greece pertaining to wastewater management and water reuse assess how well-functioning current methods are at maintaining water quality, cutting pollution, and protecting public health. Analyze any unique challenges or successes in putting current laws into effect and keeping them in place. Determine areas of agreement and disagreement between EU plan and Greek legislation. EU proposal’s possible effects on Greece’s infrastructure, adoption of new technologies, and financial implications. This study is a perspective qualitative analysis. Selection of legislation, outline the criteria used for selecting the relevant legislation from EU and Greece. Data sources from obtained the legislation texts. Official government documents, legal databases, and reputable sources. Data variables extracted from the legislation, focusing on aspects related to environmental hygiene and public health risks. Comparative framework used to compare EU commission proposal with existing legislation in Greece. Evaluate the environmental hazards and problems associated with present wastewater management practices in Greece in terms of their potential influence on water quality, ecosystems, public health, and promote environmental hygiene.

Do accent and input modality modulate processing of language switches in bilingual language comprehension?

We examined how bilinguals process language switches between their first (L1) and second language (L2). Language switching costs (slower responses to language switch than nonswitch trials) appear to arise more systematically in production than in comprehension, possibly because the latter context might sometimes elicit less language coactivation (Declerck et al., 2019). This might reduce language competition and in turn the need for bilinguals to apply language control when processing language switches. Yet even in comprehension, language coactivation may vary depending on variables such as the accent of the speaker (e.g., whether the L2 words are pronounced with an L1 or L2 accent) and input modality (spoken or written). In three experiments conducted during 2021-2022, we tested how unbalanced Mandarin-English bilinguals processed language switches during comprehension and the potential influence of a speaker's accent and input modality. Overall, across settings, participants experienced significant language switching costs. In some conditions, switching costs were larger to L1-Mandarin than to L2-English, an asymmetry consistent with the participants' dominance in L1-Mandarin and the application of language control. However, manipulating accent and input modality did not influence language switches, suggesting they did not impact language coactivation sufficiently to modulate language control. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Cinsel Kimlik Gelişiminin Nörobiyolojik Yapıtaşları ve Çevresel Stresörlerin Epigenetik Etkileri

In this review, we explore the intricate development of sexual identity, drawing insights from genetic, endocrinological, neuroanatomical, and neurophysiological studies. Gender identity, encapsulating an individual's internal perception as male or female, undergoes a nuanced and gradual formation, commencing early in life and progressing through distinct stages. Gender nonconformity delineates behaviors that diverge from culturally prescribed norms, while gender dysphoria encompasses the emotional distress experienced by some individuals due to a mismatch between their gender identity and assigned sex at birth. The genesis of sexual identity involves multifaceted processes spanning numerous years. Human sex differentiation involves the suppression or inactivation of specific genes, a phenomenon illuminated by genetic investigations into gender dysphoria, which have shown comparable rates of genetic variations to the general population. Nevertheless, twin studies suggest an augmented likelihood of transsexuality among family members, hinting at potential environmental influences. Brain sexual differentiation occurs during mid-to-late pregnancy due to the impact of gonadal hormones. The mechanisms underpinning the loss of feminine brain characteristics and subsequent masculinization likely involve a combination of factors, indicating a complex interplay rather than a singular cause. Studies propose that human sexual behavior is not governed by a solitary gene but rather by a network of genes dispersed across the genome. Notably, disparities in brain structures, functionalities between genders, as well as variations in endocrine and serotonin-dopamine levels, are implicated in the etiology of gender dysphoria, contributing to the understanding of this complex phenomenon situated between genders.

Chemiluminescence and electrochemiluminescence of water-soluble iridium(III) complexes containing a tetraethylene-glycol functionalised triazolylpyridine ligand

BackgroundIridium(III) complexes, exhibiting high luminescence quantum yields and a wide range of emission colours, are promising alternatives to tris(2,2ʹ-bipyridine)ruthenium(II) for chemiluminescence (CL) and electrochemiluminescence (ECL) detection. This emerging class of reagent, however, is limited by the poor solubility of many iridium(III) complexes in aqueous solution, and lack of understanding of their remarkably variable selectivities towards different analytes. ResultsSeven [Ir(C^N)2(pt-TEG)]+ complexes, exhibiting a wide range of reduction potentials and emission energies, were examined with six model analytes. For CL, cerium(IV) was used as the oxidant. The alkylamine analytes generally produced greater CL and ECL with the more readily oxidised Ir(III) complexes (C^N = piq, bt, ppy), predominantly through the ‘direct’ pathway requiring oxidation of both metal complex and analyte. Aniline derivatives that did not also contain secondary or tertiary alkylamines elicited CL from the less readily oxidised complexes (C^N = df-ppy-CF3, df-ppy) via energy transfer. The most difficult to oxidise complexes (C^N = df(CF3)-ppy-Me, df(CN)-ppy) gave poor responses due to the limited potential window of the solvent and inefficiency of energy transfer to their high energy excited states. Greater CL and/or ECL intensities were generally obtained for each analyte with at least one Ir(III) complex than with [Ru(bpy)3]2+; superior limits of detection for two analytes were demonstrated. SignificanceThis exploration of CL/ECL in which the properties of luminophore, analyte and oxidant are all varied provides a new understanding of the influence of the metal-complex potentials and excited state energy on the light-producing and quenching pathways, and consequently, their distinct selectivity towards different analytes. These findings will guide the development of water-soluble Ir(III) complexes as CL and ECL reagents.

Abstract 4442: Associations between pre-diagnostic plasma metabolites and biliary tract cancer risk in the prospective UK Biobank cohort

Abstract Background Annually, approximately 200,000 people are diagnosed with biliary tract cancer (BTC). Most present with metastatic disease which encompasses a 5-year survival rate of <5%. Etiology is poorly understood though some studies suggest metabolic dysregulation may contribute to development. Previous evaluations of metabolites and BTC risk have primarily been limited to case-control studies, few metabolites, or post-diagnostic blood samples. Methods We evaluated 248,285 adult participants with metabolite data in the UK Biobank, a prospective cohort study. Participants were excluded (6.2%) primarily due to a baseline history of cancer. To reduce potential influences of reverse causation, those who developed cancer or died within one year after baseline blood collection were also removed. Metabolites were trimmed to two standard deviations, log-transformed (ln[x+0.5]), z-scored, and evenly divided into tertiles. Cox proportional hazards regression was implemented to evaluate associations of BTC risk per 1-standard deviation (SD) and across tertiles with hazard ratios (HR) and 95% confidence intervals (95% CI). Models were adjusted for age, sex, education, income, fasting time, and statin use. A p-value of 0.001 was considered statistically significant after multiple comparison adjustment (0.05 divided by 50, the number of independent tests). Results The analyzed cohort includes 232,781 UKB participants with a median age of 58, a median follow-up time of 11.8 years, and 268 first primary incident BTC cases. Multiple metabolites were significantly associated with BTC risk using continuous variables (per 1-SD increment). High triglyceride to total lipid ratios were associated with higher BTC risk, and the strongest association was for intermediate-density lipoproteins (the HR (95% CI) was 1.33 (1.15-1.54), p=0.0001). On the other hand, high cholesterol to total lipid ratios were associated with lower BTC risk, and the strongest association was for the free cholesterol to total lipids in small very-low-density lipoproteins (VLDL) (0.76 (0.66-0.88), p =0.0002). High glutamine was associated with lower BTC risk (0.68 (0.69-0.89), p =0.0003) as was the phospholipid to total lipid ratio in small VLDL (0.75 (0.65-0.87), p =0.0002). Analysis by tertile identified additional significant associations, including a higher polyunsaturated fatty acid to total fatty acid ratio being associated with lower BTC risk (the HR (95% CI) comparing the highest to lowest tertile, 0.50 (0.35-0.71), p-trend=0.0001). Notably, within polyunsaturated fatty acids, a higher omega-6 to omega-3 ratio trended toward higher risk (1.32 (0.94-1.85), p-trend=0.11). Conclusion These findings indicate circulating metabolites may be biomarkers for BTC and suggest that triglycerides, cholesterols, fatty acids, phospholipids, and glutamine may be involved in BTC etiology. Citation Format: Valerie Gunchick, Guochong Gia, Wei Zheng. Associations between pre-diagnostic plasma metabolites and biliary tract cancer risk in the prospective UK Biobank cohort [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4442.

Impact of transformational leadership on service delivery behaviours of frontline service employees

This study examines how transformational leadership translates into critical service behaviours of FSEs in a B2B services context. A sequential mixed-method approach has been employed to formulate and examine the research questions. Semi-structured interviews of FSEs (N = 25) have been analyzed using the Gioia method – a variant of grounded theory. Based on the findings of study 1, a conceptual model has been developed and tested quantitatively employing PLS-SEM in study 2 (N = 469). Recommended robustness checks and guidelines have been followed to report accurate findings. The higher-order themes identified from the Gioia method reveal that transformational leadership influences the prescribed service delivery behaviour (PSDB) and proactive customer service behaviour (PCSB) of FSEs. The findings also suggest a potential influence of affective commitment and role-breadth self-efficacy (RBSE) on FSE behaviours. The quantitative study results suggest that transformational leadership's influence on PSDB is partially mediated by affective commitment, and the influence of transformational leadership on PCSB is fully mediated by affective commitment and RBSE. This study examines the effect of transformational leadership on FSE behaviours in the B2B services sector of India which is growing remarkably in the global landscape. The study has undertaken a more contemporary approach towards the conceptualization of transformational leadership. Additionally, the mixed-method approach enhances the reliability and validity of the research.

Origin of Interfacial Orbital Reconstruction in Perovskite Superlattices.

The competition between on-site electronic correlation and local crystal field stands out as a captivating topic in research. However, its physical ramifications often get overshadowed by influences of strong periodic potential and orbital hybridization. The present study reveals this competition may become more pronounced or even dominant in two-dimensional systems, driven by the combined effects of dimensional confinement and orbital anisotropy. This leads to electronic orbital reconstruction in certain perovskite superlattices or thin films. To explore the emerging physics, we investigate the interfacial orbital disorder-order transition with an effective Hamiltonian and how to modulate this transition through strains.

The influence of ADHD on recovery from sport concussion among collegiate athletes in the United States: LIMBIC MATARS consortium investigation

ABSTRACT Objective The present study aimed to assess the potential influence of a diagnosis of ADHD on concussion recovery among collegiate athletes. Design Retrospective and cross-sectional. Methods Data were extracted retrospectively from medical records across LIMBIC MATARS member institutions (n = 11), representing 1,044 concussion cases among collegiate athletes. After exclusions, 406 concussions were included in our analysis (ADHD: n = 38, age = 20.2 ± 1.67 years, 18.4% female; No ADHD: n = 368, age = 19.8 ± 1.39 years, 40.1% female). Mann–Whitney U tests were used to compare days from injury to diagnosis, symptom resolution, and return to sport among athletes with and without ADHD. Results No differences were observed for days from concussion until diagnosis (z = −0.33, p = 0.74), until days to symptom resolution (z = −1.30, p = 0.19), or days until return to sport (z = −0.68, p = 0.49); among concussion cases with or without a previously reported diagnosis of ADHD. Conclusion Our findings further expand the literature that suggests ADHD is not strongly associated with recovery trajectory following sport concussion in collegiate athletes. Future research should extend these findings to be inclusive of additional preexisting health conditions and moderating effects related to medication usage among diverse athlete levels.