bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of a prescription digital therapeutic for chronic insomnia on post-treatment insomnia severity, depression, and anxiety symptoms: results from the real-world DREAM study
Authors: Thorndike Frances P. , Morin Charles M. , Ojile Joseph , Edington Samantha , Gerwien Robert , Ong Jason C. , Wickwire Emerson M. , Ritterband Lee M. , Riney Heidi
Published: September 2024

Introduction

Chronic insomnia is a substantial public health burden that often presents with co-occurring depression and anxiety. Randomized clinical trials and preliminary real-world evidence have shown that digitally delivered cognitive-behavioral therapy for insomnia (dCBT-I) is associated with improvements in insomnia, but real-world evidence is needed to determine the true impact of digital CBT-I. This pragmatic study aimed to evaluate the benefits of treating chronic insomnia with a tailored prescription digital therapeutic in a real-world population.

Methods

This prospective, single-arm clinical study involved adults aged 22-75 with chronic insomnia living in the US who had access to a mobile device. Participants accessed the FDA-cleared prescription digital therapeutic (PDT; Somryst®) over a 9-week intervention period. The PDT delivers cognitive-behavioral therapy for insomnia via six interactive treatment cores and daily sleep diaries used for tailoring treatment. Participants completed validated patient-reported instruments at baseline, before completing treatment cores, immediately post-intervention, and at 6-month and 1-year follow-ups. The Insomnia Severity Index [ISI], the 8-item Patient Health Questionnaire [PHQ-8], and the Generalized Anxiety Disorder-7 scale [GAD-7] were used to determine the effect of the PDT on insomnia, depression, and anxiety.

Results

After screening, 1565 adults accessed the PDT. 58% of those who began the program completed Core 4, established as exposure to all mechanisms of action in the digital therapeutic. For those who completed assessments for all 6 cores (48.4%), the ISI was lowered from 18.8 to a mean of 9.9 (P <.001). These scores continued to be lower than baseline at immediate post (11.0), 6-month (11.6), and 1-year follow-ups (12.2) (P <.001). The results of the PHQ-8 and GAD-7 also show significant decreases at all measured timepoints from baseline (P <.001). Of the patients that began the program, 908 (58.0%) were considered adherent and 733 (46.8%) completed all 6 cores.

Conclusion

Data from the DREAM study contributes to the growing body of clinical evidence of how patients are utilizing a PDT in the real world, outside of controlled settings, offering insights for clinicians who use these therapeutics in practice.

Clinical trial registration

ClinicalTrials.gov, identifier NCT04325464.
A systematic review of chatbot-assisted interventions for substance use
Authors: Lee Serim , Yoon Jiyoung , Cho Yeonjee , Chun JongSerl
Published: September 2024

Objectives

This study systematically reviewed research on the utilization of chatbot-related technologies for the prevention, assessment, and treatment of various substance uses, including alcohol, nicotine, and other drugs.

Methods

Following PRISMA guidelines, 28 articles were selected for final analysis from an initial screening of 998 references. Data were coded for multiple components, including study characteristics, intervention types, intervention contents, sample characteristics, substance use details, measurement tools, and main findings, particularly emphasizing the effectiveness of chatbot-assisted interventions on substance use and the facilitators and barriers affecting program effectiveness.

Results

Half of the studies specifically targeted smoking. Furthermore, over 85% of interventions were designed to treat substance use, with 7.14% focusing on prevention and 3.57% on assessment. Perceptions of effectiveness in quitting substance use varied, ranging from 25% to 50%, while for reduced substance use, percentages ranged from 66.67% to 83.33%. Among the studies assessing statistical effectiveness (46.43%), all experimental studies, including quasi-experiments, demonstrated significant and valid effects. Notably, 30% of studies emphasized personalization and providing relevant tips or information as key facilitators.

Conclusion

This study offers valuable insights into the development and validation of chatbot-assisted interventions, thereby establishing a robust foundation for their efficacy.
Inclusion-light or innovation of inclusion: modes of innovation and exnovation for the German vocational rehabilitation and participation system
Authors: York Jana , Jochmaring Jan
Published: September 2024

This paper examines the German system of vocational rehabilitation and participation from a system- and innovation-theoretical perspective. The German system of vocational rehabilitation and participation, with its established special systems for participation in the labor market, is facing a - long overdue - reorientation. The article presents central instruments of the vocational rehabilitation system based on legal foundations, official labor market statistics, and current research findings. The authors compare the legal requirements for an inclusive work environment with the actual employment situation of people with disabilities and highlight a central dilemma of inclusion. Two modes of innovation and exnovation in the vocational rehabilitation system are proposed and critically discussed to resolve the dilemma.
Can “the expanded free maternity services” enable Kenya to achieve universal health coverage by 2030: qualitative study on experiences of mothers and healthcare providers
Authors: Ombere Stephen Okumu
Published: September 2024

Introduction

Universal health coverage is a global agenda within the sustainable development goals. While nations are attempting to pursue this agenda, the pathways to its realization vary across countries in relation to service, quality, financial accessibility, and equity. Kenya is no exception and has embarked on an initiative, including universal coverage of maternal health services to mitigate maternal morbidity and mortality rates. The implementation of expanded free maternity services, known as the Linda Mama (Taking Care of the Mother) targets pregnant women, newborns, and infants by providing cost-free maternal healthcare services. However, the efficacy of the Linda Mama (LM) initiative remains uncertain. This article therefore explores whether LM could enable Kenya to achieve UHC.

Methods

This descriptive qualitative study employs in-depth interviews, focus group discussions, informal conversations, and participant observation conducted in Kilifi County, Kenya, with mothers and healthcare providers.

Results and discussion

The findings suggest that Linda Mama has resulted in increased rates of skilled care births, improved maternal healthcare outcomes, and the introduction of comprehensive maternal and child health training for healthcare professionals, thereby enhancing quality of care. Nonetheless, challenges persist, including discrepancies and shortages in human resources, supplies, and infrastructure and the politicization of healthcare both locally and globally. Despite these challenges, the expanding reach of Linda Mama offers promise for better maternal health. Finally, continuous sensitization efforts are essential to foster trust in Linda Mama and facilitate progress toward universal health coverage in Kenya.
Numerical Investigation of the Thermal Performance of Air-Cooling System for a Lithium-Ion Battery Module Combined with Epoxy Resin Boards
Authors: Lin Da , Peng Peng , Wang Yiwei , Qiu Yishu , Wu Wanyi , Jiang Fangming
Published: September 2024

Lithium-ion batteries (LIBs) have the lead as the most used power source for electric vehicles and grid storage systems, and a battery thermal management system (BTMS) can ensure the efficient and safe operation of lithium-ion batteries. Epoxy resin board (ERB) offers a wide range of applications in LIBs due to its significant advantages such as high dielectric strength, electrical insulation, good mechanical strength, and stiffness. This study proposes an air-cooled battery module comprised of sixteen prismatic batteries incorporating an ERB layer between the batteries. To compare the performance of the ERB-based air-cooling system, two other air-cooling structures are also assessed in this study. Three-dimensional numerical models for the three cases are established in this paper, and the heat dissipation processes of the battery module under varying discharge rates (1C, 2C, and 5C) are simulated and analyzed to comprehensively evaluate the performance of the different cooling systems. Comparative simulations reveal that incorporating ERB into the battery assembly significantly reduces battery surface temperatures and promotes temperature uniformity across individual batteries and the entire pack at various discharge rates. Notably, under 5C discharge conditions, the ERB-based thermal management system achieves a maximum battery surface temperature increase of 16 °C and a maximum temperature difference of 8 °C between batteries. Additionally, this paper also analyzes the impact of battery arrangement on air-cooling system performance. Therefore, further optimization of the structural design or the integration of supplementary cooling media might be necessary for such demanding conditions.
Identification of Pain through Actigraphy-Recorded Patient Movement: A Comprehensive Review
Authors: Torres-Guzman Ricardo A. , Ho Olivia A. , Borna Sahar , Gomez-Cabello Cesar A. , Haider Syed Ali , Forte Antonio Jorge
Published: September 2024

Chronic pain affects over 50 million people in the United States, particularly older adults, making effective assessment and treatment essential in primary care. Actigraphy, which monitors and records limb movement to estimate wakefulness and sleep, has emerged as a valuable tool for assessing pain by providing insights into activity patterns. This review highlights the non-invasive, cost-effective nature of actigraphy in pain monitoring, along with its ability to offer continuous, detailed data on patient movement. However, actigraphy’s reliance on physical activity as a proxy for pain, and its inability to directly measure pain intensity, limit its applicability to certain pain types, such as neuropathic pain. Further research is needed to overcome these limitations and to improve the effectiveness of actigraphy in diverse clinical settings.
The Pathomechanism and Current Treatments for Chronic Interstitial Cystitis and Bladder Pain Syndrome
Authors: Yu Wan-Ru , Jhang Jia-Fong , Jiang Yuan-Hong , Kuo Hann-Chorng
Published: September 2024

Interstitial cystitis/bladder pain syndrome (IC/BPS) is a chronic and debilitating condition characterized by symptoms such as bladder pain, frequent urination, and nocturia. Pain is typically perceived in the lower abdomen, pelvic floor, or urethra, causing significant discomfort and impacting quality of life. Due to the similarity of its symptoms with those of overactive bladder and acute bacterial cystitis, patients often face misdiagnosis and delayed appropriate treatment. Hunner’s (HIC) and non-Hunner’s IC (NHIC), each with distinct clinical presentations, urothelial dysfunction, chronic inflammation, and central sensitization and thus multimodal symptomatic treatment approaches, may be the most common pathogeneses of IC/BPS. Treatment of IC/BPS should involve identifying the different clinical phenotypes and underlying pathophysiology causing clinical symptoms and developing strategies tailored to the patient’s needs. This review discusses the roles of urine biomarkers, bladder inflammation, and glycosaminoglycans in the pathogenesis of IC/BPS. Various bladder treatment modalities are explored, including glycosaminoglycan replenishment, botulinum toxin A injection, platelet-rich plasma injection, low-energy shock waves, immunosuppression, and low-dose oral prednisolone. Pelvic floor muscle physiotherapy and bladder therapy combined with psychiatric consultation can help alleviate psychological stress and enhance the quality of life of patients with IC/BPS. Elucidating the pathological mechanisms and exploring diverse treatment options would help advance the care of individuals suffering from this challenging bladder condition.
Resting-State EEG Alterations of Practice-Related Spectral Activity and Connectivity Patterns in Depression
Authors: Tatti Elisa , Cinti Alessandra , Serbina Anna , Luciani Adalgisa , D’Urso Giordano , Cacciola Alberto , Quartarone Angelo , Ghilardi Maria Felice
Published: September 2024

Background: Depression presents with altered energy regulation and neural plasticity. Previous electroencephalography (EEG) studies showed that practice in learning tasks increases power in beta range (13–30 Hz) in healthy subjects but not in those with impaired plasticity. Here, we ascertain whether depression presents with alterations of spectral activity and connectivity before and after a learning task. Methods: We used publicly available resting-state EEG recordings (64 electrodes) from 122 subjects. Based on Beck Depression Inventory (BDI) scores, they were assigned to either a high BDI (hBDI, BDI > 13, N = 46) or a control (CTL, BDI < 7, N = 75) group. We analyzed spectral activity, theta–beta, and theta–gamma phase–amplitude coupling (PAC) of EEG recorded at rest before and after a learning task. Results: At baseline, compared to CTL, hBDI exhibited greater power in beta over fronto-parietal regions and in gamma over the right parieto-occipital area. At post task, power increased in all frequency ranges only in CTL. Theta–beta and theta–gamma PAC were greater in hBDI at baseline but not after the task. Conclusions: The lack of substantial post-task growth of beta power in depressed subjects likely represents power saturation due to greater baseline values. We speculate that inhibitory/excitatory imbalance, altered plasticity mechanisms, and energy dysregulation present in depression may contribute to this phenomenon.
Predictive Model for Opioid Use Disorder in Chronic Pain: A Development and Validation Study
Authors: Escorial Mónica , Muriel Javier , Margarit César , Agulló Laura , Zandonai Thomas , Panadero Ana , Morales Domingo , Peiró Ana M.
Published: September 2024

Background/Objective: There are several questionnaires for the challenge of anticipating opioid use disorder (OUD). However, many are not specific for chronic non-cancer pain (CNCP) or have been developed in the American population, whose sociodemographic factors are very different from the Spanish population, leading to scarce translation into clinical practice. Thus, the aim of this study is to prospectively validate a predictive model for OUD in Spanish patients under long-term opioids. Methods: An innovative two-stage predictive model was developed from retrospective (n = 129) and non-overlapping prospective (n = 100) cohorts of real-world CNCP outpatients. All subjects used prescribed opioids for 6 or more months. Sociodemographic, clinical and pharmacological covariates were registered. Mu-opioid receptor 1 (OPRM1, A118G, rs1799971) and catechol-O-methyltransferase (COMT, G472A, rs4680) genetic variants plus cytochrome P450 2D6 (CYP2D6) liver enzyme phenotypes were also analyzed. The model performance and diagnostic accuracy were calculated. Results: The two-stage model comprised risk factors related to OUD (younger age, work disability and high daily opioid dose) and provided new useful information about other risk factors (low quality of life, OPRM-G allele and CYP2D6 extreme phenotypes). The validation showed a satisfactory accuracy (70% specificity and 75% sensitivity) for our predictive model with acceptable discrimination and goodness of fit. Conclusions: Our study presents the results of an innovative model for predicting OUD in our setting. After external validation, it could represent a change in the paradigm of opioid treatment, helping clinicians to better identify and manage the risks and reduce the side effects and complications.
Adult-Onset Still’s Disease (AOSD)—On the Basis of Own Cases
Authors: Wisłowska Małgorzata
Published: September 2024

Introduction: Adult-onset Still’s disease (AOSD) is a rare chronic autoinflammatory condition characterized by a spiking fever, arthritis, a rash, hepatosplenomegaly, lymphadenopathy, leucocytosis, and hyperferritinemia. It is sometimes accompanied by life-threatening complications like macrophage activation syndrome/hemophagocytic lymphohistiocytosis (MAS/HLH). Treatment options for AOSD include glucocorticoids (GCs), immunosuppressive drugs, biological medications, and Janus kinase (JAK) inhibitors. The features that differentiate MAS/HLH from AOSD are: in MAS/HLH, a different type of fever, which is persistent, a sharp decrease in the number of leukocytes and thrombocytes, a further increase in the level of transaminases and ferritin, significant hepatosplenomegaly, lymphadenopathy, symptoms of the central nervous system (CNS), disseminated intravascular coagulation (DIC) and hemophagocytosis in the bone marrow. This study aimed to evaluate the course of AOSD, which results in MAS/HLD. Patients and methods: Nine AOSD patients, four of whom developed MAS/HLH, were treated at the Rheumatology Clinic in the Central Clinical Hospital of the Ministry of Interior Affairs from 1 January 2015 to 15 March 2020 and at the Rheumatology Clinic in the National Institute of Geriatric, Rheumatology and Rehabilitation from 1 September 2021 to 1 March 2024. Medical history, clinical data, demographic data, laboratory data, imaging data, Hscore, and treatment data were collected. Results: All the patients with MAS and an Hscore above 150 recovered. Discussion: MAS/HLH requires rapid diagnosis as well as treatment with methylprednisolone pulses, cyclosporine A, and etoposide. When comparing patients who developed MAS/HLH with those who did not, possible risk factors were identified: the presence of pregnancy (two cases) and an aggressive course of AOSD. The Hscore is a useful tool for identifying patients with MAS/HLH.
Fluorometric Detection of Five Nitrogen-Based Pharmaceuticals Based on Ion-Pairing Association with EY: DFT Calculations
Authors: Alkulaib Safanah M. , Bakir Esam M. , Alnajjar Ahmed O.
Published: September 2024

Fluorometric method for detecting of five nitrogen-based drugs concentration based on inhibition of emission Eosin Y (EY). The selection of N-drugs comprised indapamide (INDP), clomipramine hydrochloride (CMI), promethazine hydrochloride (PMH), lisinopril (LSP), and trifluoperazine hydrochloride (TFPH). The Stern–Volmer style was plotted between relative emissions of EY vs. N-drugs concentration. The standard curves were linear over the concentration range of 5–50 µg mL−1 with R2 > 0.9, and the LOD for INDP, CMI, PMH, LSP, and TFPH were 2.07, 1.36, 3.02, 3.52, and 2.09 µmol·L−1, respectively. The binding constant Kapp for LSP was greater than other N-drugs. Furthermore, the suggested method was hence applied for the routine detection of the concentration of N-drugs in bulk and tablet or syrup dosage forms. FTIR analysis and the electron-mapping density provided the chemical affinity of N-drugs towards EY.
Ethanolic Cashew Leaf Extract Encapsulated in Tripolyphosphate–Chitosan Complexes: Characterization, Antimicrobial, and Antioxidant Activities
Authors: Sinlapapanya Pitima , Buatong Jirayu , Palamae Suriya , Nazeer Rasool Abdul , Zhang Bin , Prodpran Thummanoon , Benjakul Soottawat
Published: September 2024

Ethanolic cashew leaf extract (ECL-E) is rich in phenolic compounds and shows remarkable antioxidative and antimicrobial activities. Encapsulation could stabilize ECL-E as the core. Tripolyphosphate (TPP)–chitosan (CS) nanoparticles were used to load ECL-E, and the resulting nanoparticles were characterized. The nanoparticles loaded with ECL-E at different levels showed differences in encapsulation efficiency (47.62–89.47%), mean particle diameters (47.30–314.60 nm), positive zeta potentials (40.37–44.24 mV), and polydispersity index values (0.20–0.56). According to scanning electron micrographs, the nanoparticles had a spherical or ellipsoidal shape, and a slight agglomeration was observed. The appropriate ratio of CS/ECL-E was 1:3, in which an EE of 89.47%, a particle size of 256.05 ± 7.70 nm, a zeta potential of 40.37 ± 0.66 mV, and a PDI of 0.22 ± 0.05 were obtained. The nanoparticles also exhibited high antioxidant activities, as assayed by DPPH and ABTS radical scavenging activities, ferric reducing ability power (FRAP), and oxygen radical absorbance capacity (ORAC). Low minimum inhibitory concentration and minimum bactericidal concentration were observed against Pseudomonas aeruginosa (9.38, 75.00 mg/mL) and Shewanella putrefaciens (4.69, 75.00 mg/mL). In addition, ECL-E loaded in nanoparticles could maintain its bioactivities under various light intensities (1000–4000 Lux) for 48 h. Some interactions among TPP, CS, and ECL-E took place, as confirmed by FTIR analysis. These nanoparticles had the increased storage stability and could be used for inactivating spoilage bacteria and retarding lipid oxidation in foods.
Entropy and Negative Specific Heat of Doped Graphene: Topological Phase Transitions and Nernst’s Theorem Revisited
Authors: Palma-Chilla L. , Lazzús Juan A. , Flores J. C.
Published: September 2024

This study explores the thermodynamic properties of doped graphene using an adapted electronic spectrum. We employed the one-electron tight-binding model to describe the hexagonal lattice structure. The dispersion relation for graphene is expressed in terms of the hopping energies using a compositional parameter that characterizes the different dopant atoms in the lattice. The focus of the investigation is on the impact of the compositions, specifically the presence of dopant atoms, on the energy spectrum, entropy, temperature, and specific heat of graphene. The numerical and analytical results reveal distinct thermodynamic behaviors influenced by the dopant composition, including topological transitions, inflection points in entropy, and specific heat divergences. In addition, the use of Boltzmann entropy and the revision of Nernst’s theorem for doped graphene are introduced as novel aspects.
A Roadmap for NF-ISAC in 6G: A Comprehensive Overview and Tutorial
Authors: Hakimi Azar , Galappaththige Diluka , Tellambura Chintha
Published: September 2024

Near-field (NF) integrated sensing and communication (ISAC) has the potential to revolutionize future wireless networks. It enables simultaneous communication and sensing operations on the same radio frequency (RF) resources using a shared hardware platform, maximizing resource utilization. NF-ISAC systems can improve communication and sensing performance compared to traditional far-field (FF) ISAC systems by exploiting the unique propagation characteristics of NF spherical waves with an additional distance dimension. Despite its potential, NF-ISAC research is still in its early stages, and a comprehensive survey of the technology is lacking. This paper systematically explores NF-ISAC technology, providing an in-depth analysis of both NF and FF systems, their applicability in various scenarios, and different channel models. It highlights the advantages and philosophies of ISAC, examining both narrow-band and wide-band NF-ISAC systems. Case studies and simulations offer deeper insights into NF-ISAC design philosophies. Additionally, the paper reviews the existing NF-ISAC literature, methodologies, potentials, and conclusions, and discusses future research areas, challenges, and applications.
Yield Performance of Standard Multicrystalline, Monocrystalline, and Cast-Mono Modules in Outdoor Conditions
Authors: Guerrero Ismael , del Cañizo Carlos , Yu Yuanjie
Published: September 2024

On the journey to reduce the cost of solar modules, several silicon-growing techniques have been explored to grow the wafers the cells are based on. The most utilized ones have been the multicrystalline silicon (mc-Si) and the monocrystalline ones, with monocrystalline grown by the Czochralski (Cz) technique being the current winner. Cast-mono (CM-Si) was also largely employed during the last decade, and there are several gigawatts (GWs) of modules on the field, but no data were shared on the performance of those modules. In this study, we put three small installations next to each other in the field consisting of 12 modules each, with the only difference being in the wafers technology employed: mc-Si, CM-Si, and CZ-Si. The first two systems have been manufactured with the same equipment and had their field performance closely monitored for three years, while the CZ-Si one has been monitored for 17 months. The performance data shared show that CM-Si performance on the field is better than mc-Si and is very similar to CZ-Si, with no abnormal degradation. CM-Si requires less energy than CZ-Si to be manufactured, and high efficiencies have been reported; the field performance suggests that it is a very valid technology that deserves further exploration.
The Ecological Niches and Interspecific Associations of the Dominant Fishes in the Xiamen Seas, China
Authors: Huang Liang-Min , Xu Hao-Qi , Yu Jia-Yue , Chen Yong-He , Wang Jia-Qiao , Ji Fen-Fen , Li Jun , Cai Jian-Di , Chu Ta-Jen
Published: September 2024

Fish are vital in enhancing the stability of marine ecosystems. Therefore, understanding the ecological niches and interspecific correlation characteristics of their dominant species provides a good scientific basis for the protection and management of marine biodiversity. In this study, on the basis of survey data from trawls conducted in the waters off Xiamen in the spring (April) and autumn (November) of 2021, the ecotopes and interspecies connectivity of the dominant fish species were investigated using the relative importance index (IRI), χ2 tests, the association coefficient (AC), and Pearson and Spearman analyses. According to the IRI, there were 23 fish species with higher values, including 15 species in spring and 15 species in autumn. The 15 dominant fish species could be subdivided into wide-, medium-, and narrow-ecotope species, of which there were 2 and 3 wide-ecotope types in spring and autumn. The niche overlap indices exhibited a range of 0.000–0.809 in the spring and 0.000–0.915 in the autumn, showing small differences between the two seasons. The interspecific correlations between the dominant fishes in Xiamen’s waters in spring and autumn were weak, and both showed non-significant positive correlations, indicating that the correlations between the dominant fishes in this sea area are relatively independent. The findings of this investigation provide a fundamental database and theoretical framework for researching the adaptive mechanisms of marine fish in the Xiamen Seas.
Photomorphogenesis and Photosynthetic Trait Changes in Melon Seedlings Responding to Red and Blue Light
Authors: Zhao Shiwen , Li Xue , Kang Yushi , Lin Yuqin , Wu Yongjun , Yang Zhenchao
Published: September 2024

Red and blue light have significant effects on plant growth; however, most of the current studies have focused on common horticultural crops such as cucumber and tomato, and there are fewer studies on how red and blue light affect the growth of melon seedlings. Therefore, in this study, we used melon (Cucumis melo L.) as the experimental material to investigate the effects of red and blue light ratios on the photomorphogenesis and photosynthesis of melon seedlings. Five red and blue light ratios were set at a fixed light intensity 200 μmol·m−2·s−1, including R:B = 1:9, R:B = 3:7, R:B = 1:1, R:B = 7:3, and R:B = 9:1. The results showed that with the increase in red light ratios, melon seedling height, stem diameter, total leaf area and stomatal pore size of melon seedlings increased, while the upper epidermis, palisade tissue, spongy tissue, leaf thickness, and stomatal density showed a decreasing trend. Under the R:B = 7:3 treatment, melon seedlings were optimized in all morphological indexes and had higher photosynthetic efficiency; these results indicated that the growth of melon seedlings could be regulated by adjusting the ratio of red to blue light, thus promoting the morphogenesis of melon seedlings.
The Comparative Characterization of a Hypervirulent Acinetobacter baumannii Bacteremia Clinical Isolate Reveals a Novel Mechanism of Pathogenesis
Authors: Benyamini Payam
Published: September 2024

Acinetobacter baumannii is an opportunistic Gram-negative pathogen with exquisite survival capabilities under various environmental conditions and displays widespread resistance to common antibiotics. A. baumannii is a leading cause of nosocomial infections that result in high morbidity and mortality rates. Accordingly, when multidrug resistance rates surpass threshold levels, the percentage of A. baumannii clinical isolates surges. Research into A. baumannii has increased in the past decade, and multiple mechanisms of pathogenesis have been identified, including mechanisms underlying biofilm development, quorum sensing, exotoxin production, secretion system utilization, and more. To date, the two gold-standard strains used to investigate different aspects of A. baumannii pathogenesis include ATCC 17978 and ATCC 19606. Here, we report a comparative characterization study of three additional A. baumannii clinical isolates obtained from different infection types and derived from different anatomical regions of infected patients. The comparison of three clinical isolates in addition to the ATCC strains revealed that the hypervirulent bacteremia clinical isolate, known as HUMC1, employs a completely different mechanism of pathogenesis when compared to all its counterparts. In stark contrast to the other genetic variants, the hypervirulent HUMC1 isolate does not form biofilms, is antibiotic-susceptible, and has the capacity to reach higher levels of quorum compared to the other clinically relevant strains. Our data also reveal that HUMC1 does not shed endotoxin into the extracellular milieu, rather secretes the evolutionarily conserved, host-mimicking, Zonula occludens toxin (Zot). Taken together, our hypothesis that HUMC1 cells have the ability to reach higher levels of quorum and lack biofilm production and endotoxin shedding, accompanied by the substantial elaboration of Zot, suggests a novel mechanism of pathogenesis that appears to afford the hypervirulent pathogen with stealth-like capabilities when disseminating through the circulatory system in a state of bacteremia.
Reliability and Convergent Validity of Endurance Indices Derived from Near-Infrared Spectroscopy and Electromyography during a Bilateral Hanging Task in Amateur Rock Climbers
Authors: Kwong Wai-Hang , Li Jia-Qi , Lui Chun-Hung , Luk Hiu-Tung , Lau King-Fung , Seaby Ray , Sidarta Ananda
Published: September 2024

Background: The ability to hang for a long time before forearm muscle fatigue is a crucial element of successful rock climbing. Electromyography (EMG) and near-infrared spectroscopy (NIRS) are also useful for measuring hemoglobin oxygenation for determining muscle endurance. In the present study, we aimed to evaluate the reliability and validity of muscle endurance indices derived using EMG and NIRS during a hanging task. Methods: A bilateral hanging task was designed to compare rock climbers and non-climbers in terms of the slopes of changes in the median frequency (MDF) and tissue oxygenation index (TOI) of forearm muscles. Results: A total of 17 participants were included in each of the two groups. The intraclass correlation coefficient (3,1) values derived for the MDF slope, TOI slope, ΔTOI, percentage change in oxygen concentration, and ΔHbt were 0.85, 0.73, 0.65, 0.75, and 0.65, respectively. The MDF slope, TOI slope, and ΔHbt differed significantly between the groups (p < 0.05). The MDF slope, TOI slopes, and ΔHbt were significantly correlated with V-scale levels for climbing (p < 0.05). Conclusions: The satisfactory reliability and observed distinctions between climbers and non-climbers imply that these indices are a valuable tool for assessing muscle endurance.
Adaptive Control of Ships’ Oil-Fired Boilers Using Flame Image-Based IMC-PID and Deep Reinforcement Learning
Authors: Lee Chang-Min , Jung Byung-Gun
Published: September 2024

The control system of oil-fired boiler units on ships plays a crucial role in reducing the emissions of atmospheric pollutants such as nitrogen oxides (NOx), sulfur dioxides (SO2), and carbon dioxide (CO2). Traditional control methods using conventional measurement sensors face limitations in real-time control due to response delays, which has led to the growing interest in combustion control methods using flame images. To ensure the precision of such combustion control systems, the system model must be thoroughly considered during controller design. However, finding the optimal tuning point is challenging due to the changes in the system model and nonlinearity caused by environmental variations. This study proposes a controller that integrates an internal model control (IMC)-based PID controller with the deep deterministic policy gradient (DDPG) algorithm of deep reinforcement learning to enhance the adaptability of image-based combustion control systems to environmental changes. The proposed controller adjusts the PID parameter values in real-time through the learning of the determination constant lambda (λ) of the IMC internal model. This approach reduces computational resources by shrinking the learning dimensions of the DDPG agent and limits transient responses through constrained learning of control parameters. Experimental results show that the proposed controller exhibited rapid adaptive performance in the learning process for the target oxygen concentration, achieving a reward value of −0.05 within just 105 episodes. Furthermore, when compared to traditional PID tuning methods, the proposed controller demonstrated superior performance, achieving a target value error of 0.0032 and a low overshoot range of 0.0498 to 0.0631, providing the fastest response speed and minimal oscillation. Additionally, experiments conducted on an actual operating ship verified the practical feasibility of this system, highlighting its potential for real-time control and pollutant reduction in marine applications.
System Structural Error Analysis in Binocular Vision Measurement Systems
Authors: Yang Miao , Qiu Yuquan , Wang Xinyu , Gu Jinwei , Xiao Perry
Published: September 2024

A binocular stereo vision measurement system is widely used in fields such as industrial inspection and marine engineering due to its high accuracy, low cost, and ease of deployment. An unreasonable structural design can lead to difficulties in image matching and inaccuracies in depth computation during subsequent processing, thereby limiting the system’s performance and applicability. This paper establishes a systemic error analysis model to enable the validation of changes in structural parameters on the performance of the binocular vision measurement. Specifically, the impact of structural parameters such as baseline distance and object distance on measurement error is analyzed. Extensive experiments reveal that when the ratio of baseline length to object distance is between 1 and 1.5, and the angle between the baseline and the optical axis is between 30 and 40 degrees, the system measurement error is minimized. The experimental conclusions provide guidance for subsequent measurement system research and parameter design.
Research on the Unsteady Flow Characteristics of Solid–Liquid Two-Phase Flow in a Deep-Sea Mining Lift Pump and Model Experimental Verification
Authors: Hong Shunjun , Hu Junhong , Wei Pengyun , Man Haizhong , Yang Zihai , Wu Jing , Hu Xiaozhou
Published: September 2024

The deep-sea mining lift pump is one of the pivotal components in deep-sea mineral transportation systems and its internal flow is very complex; consequently, unraveling its unsteady flow behavior pattern holds immense practical value. This study adopts numerical methods to analyze the time-averaged distribution characteristics of the internal flow field in mining lift pumps, as well as the flow field’s pulsation intensity distribution characteristics, the vortex’s spatiotemporal evolution process in both moving and static cascades, and the time- and frequency-domain pulsation characteristics of internal pressure in each flow passage component under four different flow conditions are also investigated. The hydraulic properties of mining lift pumps under these four different conditions are also evaluated, and the outcomes are benchmarked against those of numerical predictions. Our findings reveal that the interplay between impeller blades and guide vanes significantly influences the pump’s flow characteristics, with the pump’s unsteady flow influencing its hydraulic properties. Experimental validation of this system confirms that the pump under study is in line with design specifications in terms of hydraulic properties. The method validation test on the prototype pump shows that the SST k-ω model is capable of successfully forecasting instability in the flow features of deep-sea mining lift pumps. These results will serve as a theoretical reference for regulating the flow state inside deep-sea mining lift pumps.
Joint Impact of Market Volatility and Cryptocurrency Holdings on Corporate Liquidity: A Comparative Analysis of Cryptocurrency Exchanges and Other Firms
Authors: Lee Namryoung
Published: September 2024

This study examines the impact of market volatility and cryptocurrency holdings on corporate liquidity, with a particular focus on the differences between cryptocurrency exchanges and other businesses. The analysis is based on 181 firm-year observations from 2017 to 2022, using Bitcoin volatility, VIX, and VKOSPI as indicators of market volatility. Ordinary Least Squares (OLS) and robust regression analyses are employed to assess the relationships between these variables. It is first noted that, albeit insignificant, market volatility has a detrimental influence on company liquidity. The positive correlation for cryptocurrency exchanges, however, suggests that cryptocurrency exchanges could potentially leverage market volatility as a strategic advantage. Additionally, the study shows that cryptocurrency holdings enhance corporate liquidity, with a stronger association observed in cryptocurrency exchanges. The analysis also incorporates lagged variables to capture delayed effects, confirming that cryptocurrency holdings exert both immediate and delayed positive impacts on liquidity, likely due to effective strategic management practices within exchanges.
The Impact of Changing External Auditors, Auditor Tenure, and Audit Firm Type on the Quality of Financial Reports on the Saudi Stock Exchange
Authors: Alhazmi Abdulkarim Hamdan J. , Islam Sardar , Prokofieva Maria
Published: September 2024

The purpose of this study is to examine the influences of external auditor firm type, auditor tenure, and external auditor changes on the quality of Saudi Arabian financial reports. In particular, this study examines the quality of financial reports of companies listed on the Saudi Stock Exchange using a widely accepted evaluation model modified by JonesThis study aims to determine whether Big Four and non-Big Four audit firms, auditor tenures of three or more years, and external auditor changes have any impact on the quality of financial reports of Saudi-listed companies. This study uses 175 firm-year observations of 35 companies listed on the Tadawul Saudi Stock Exchange between 2017 and 2021. Using discretionary accruals (DACC) as modified by Jones to measure the quality of financial reports, the findings illustrate that there is a significant negative relationship between Big Four audit firms and DACC. However, the study also shows a significant positive correlation between auditor tenure and DACC. The research revealed that there is no significant relationship between auditor change and DACC. These results have practical implications for policy development. According to the outcomes of this research, there are numerous ramifications for both companies and the government in Saudi Arabia in terms of enhancing the relationship between companies and audit firms and determining the most suitable auditor tenure to improve the quality of financial reports.
Rational Design, Synthesis, Molecular Docking, and Biological Evaluations of New Phenylpiperazine Derivatives of 1,2-Benzothiazine as Potential Anticancer Agents
Authors: Szczęśniak-Sięga Berenika M. , Zaręba Natalia , Czyżnikowska Żaneta , Janek Tomasz , Kepinska Marta
Published: September 2024

The aim of this study was to obtain new, safe, and effective compounds with anticancer activity since cancer is still the leading cause of mortality worldwide. The rational design of new compounds was based on the introduction of differentially substituted phenylpiperazines into the 1,2-benzothiazine scaffold as a reference for the structures of recent topoisomerase II (Topo II) inhibitors such as dexrazoxane and XK-469. The newly designed group of 1,2-benzothiazine derivatives was synthesized and tested on healthy (MCF10A) and cancer (MCF7) cell lines, alone and in combination with doxorubicin (DOX). In addition, molecular docking studies were performed both to the DNA-Topo II complex and to the minor groove of DNA. Most of the tested compounds showed cytotoxic activity comparable to doxorubicin, a well-known anticancer drug. The compound BS230 (3-(4-chlorobenzoyl)-2-{2-[4-(3,4-dichlorophenyl)-1-piperazinyl]-2-oxoethyl}-4-hydroxy-2H-1,2-benzothiazine 1,1-dioxide) showed the best antitumor activity with lower cytotoxicity towards healthy cells and at the same time stronger cytotoxicity towards cancer cells than DOX. Moreover, molecular docking studies showed that BS230 has the ability to bind to both the DNA-Topo II complex and the minor groove of DNA. Binding of the minor groove to DNA was also proven by fluorescence spectroscopy.
The Aryl Hydrocarbon Receptor and Its Crosstalk: A Chemopreventive Target of Naturally Occurring and Modified Phytochemicals
Authors: Szaefer Hanna , Licznerska Barbara , Baer-Dubowska Wanda
Published: September 2024

The aryl hydrocarbon receptor (AhR) is an environmentally sensitive transcription factor (TF) historically associated with carcinogenesis initiation via the activation of numerous carcinogens. Nowadays, the AhR has been attributed to multiple endogenous functions to maintain cellular homeostasis. Moreover, crosstalk, often reciprocal, has been found between the AhR and several other TFs, particularly estrogen receptors (ERs) and nuclear factor erythroid 2-related factor-2 (Nrf2). Adequate modulation of these signaling pathways seems to be an attractive strategy for cancer chemoprevention. Several naturally occurring and synthetically modified AhR or ER ligands and Nrf2 modulators have been described. Sulfur-containing derivatives of glucosinolates, such as indole-3-carbinol (I3C), and stilbene derivatives are particularly interesting in this context. I3C and its condensation product, 3,3′-diindolylmethane (DIM), are classic examples of blocking agents that increase drug-metabolizing enzyme activity through activation of the AhR. Still, they also affect multiple essential signaling pathways in preventing hormone-dependent cancer. Resveratrol is a competitive antagonist of several classic AhR ligands. Its analogs, with ortho-methoxy substituents, exert stronger antiproliferative and proapoptotic activity. In addition, they modulate AhR activity and estrogen metabolism. Their activity seems related to a number of methoxy groups introduced into the stilbene structure. This review summarizes the data on the chemopreventive potential of these classes of phytochemicals, in the context of AhR and its crosstalk modulation.
Application of Intelligent Response Fluorescent Probe in Breast Cancer
Authors: Sheng Anqi , Zhang Hao , Li Qing , Chen Shu , Wang Qingshuang
Published: September 2024

As one of the leading cancers threatening women’s lives and health, breast cancer is challenging to treat and often irreversible in advanced cases, highlighting the critical importance of early detection and intervention. In recent years, fluorescent probe technology, a revolutionary in vivo imaging tool, has gained attention in medical research for its ability to improve tumor visualization significantly. This review focuses on recent advances in intelligent, responsive fluorescent probes, particularly in the field of breast cancer, which are divided into five categories, near-infrared responsive, fluorescein-labeled, pH-responsive, redox-dependent, and enzyme-triggered fluorescent probes, each of which has a different value for application based on its unique biological response mechanism. In addition, this review also covers the strategy of combining fluorescent probes with various anti-tumor drugs, aiming to reveal the possibility of synergistic effects between the two in breast cancer treatment and provide a solid theoretical platform for the clinical translation of fluorescent probe technology, which is expected to promote the expansion of cancer treatment technology.
A Sustainable Approach to Managing Invasive Macroalgae: Assessment of the Nutritional Profile and the Potential for Enteric Methane Mitigation of Rugulopteryx okamurae
Authors: Nunes Helder P. B. , Maduro-Dias Cristiana , Carvalho Joana , Borba Alfredo
Published: September 2024

The expansion of the invasive Asian macroalgae Rugulopteryx okamurae along the coasts of the Azores represents a significant challenge for local marine biodiversity. A promising approach to managing the biomass produced by this alien alga is to valorize it in the context of the blue economy. This study characterizes and evaluates the potential of R. okamurae biomass for incorporation into cattle feed, with a focus on mitigating enteric methane production. The nutritional value of R. okamurae, its digestibility, and its potential as a mitigating agent for enteric methane production were analyzed in vitro. The results indicate that the inclusion of 5% R. okamurae in the diet significantly (p < 0.05) reduced accumulated methane production by 98% after 24 h of incubation. The addition of 1% algae over the same period resulted in a 38% reduction in methane production. However, a significant decrease (p < 0.05) in gas production of 57.02% and 73.5% was also observed in relation to control, with the inclusion of 1% and 5%, respectively, during 96 h. Nutritionally, R. okamurae was found to have a crude protein content of 18.68% and fiber (NDF) of 55.71% of DM. It is also worth highlighting the high content of ash (31.86%) that was identified in these brown macroalgae. In conclusion, the fresh biomass of R. okamurae could serve as a functional ingredient in cattle feed to mitigate enteric methane production, provided it is used in low percentages. However, it is important to emphasize that high concentrations in the first 12 h did not produce methane, which is also not recommended for enteric fermentation. However, before including it in animal feed, in vivo tests are needed to assess its toxicity.
Theoretical WIMP–Nucleus Scattering Rates for Isomeric Nuclei
Authors: Vergados John D. , Bonatsos Dennis
Published: September 2024

The direct detection of dark matter constituents, particularly weakly interacting massive particles (WIMPs), is central to particle physics and cosmology. In this paper, we develop the formalism for WIMP–nucleus-induced transitions from isomeric nuclear states, with particular focus on the experimentally interesting target 180Ta.
LiteFer: An Approach Based on MobileViT Expression Recognition
Authors: Yang Xincheng , Lan Zhenping , Wang Nan , Li Jiansong , Wang Yuheng , Meng Yuwei
Published: September 2024

Facial expression recognition using convolutional neural networks (CNNs) is a prevalent research area, and the network’s complexity poses obstacles for deployment on devices with limited computational resources, such as mobile devices. To address these challenges, researchers have developed lightweight networks with the aim of reducing model size and minimizing parameters without compromising accuracy. The LiteFer method introduced in this study incorporates depth-separable convolution and a lightweight attention mechanism, effectively reducing network parameters. Moreover, through comprehensive comparative experiments on the RAFDB and FERPlus datasets, its superior performance over various state-of-the-art lightweight expression-recognition methods is evident.