bluuebunny/crossref_metadata_2025_split huggingface dataset:
Systematic Review of the Efficacy and Safety of RSV‐Specific Monoclonal Antibodies and Antivirals in Development
Authors: Sevendal Andrea T. K. , Hurley Siobhan , Bartlett Adam W. , Rawlinson William , Walker Gregory J. 
Published: August 2024

ABSTRACTRespiratory syncytial virus (RSV) is a leading cause of acute respiratory infection amongst all ages, causing a significant global health burden. Preventative and therapeutic options for RSV infection have long been under development, and recently, several widely‐publicised vaccines targeting older adult and maternal populations have become available. Promising monoclonal antibody (mAb) and antiviral (AV) therapies are also progressing in clinical trials, with the prophylactic mAb nirsevimab recently approved for clinical use in infant populations. A systematic review on current progress in this area is lacking. We performed a systematic literature search (PubMed, Embase, Web of Science, ClinicalTrials.gov, EudraCT, ANZCTR—searched Nov 29th, 2023) to identify studies on all RSV‐specific mAbs and AV therapies that has undergone human clinical trials since year 2000. Data extraction focused on outcomes related to the therapeutic efficacy and safety of the intervention on trial, and all studies were graded against the OCEBM Levels of Evidence Table. Results from 59 studies were extracted, covering efficacy and safety data on six mAbs (motavizumab, motavizumab‐YTE, nirsevimab, ALX‐0171, suptavumab, clesrovimab) and 12 AV therapies (ALN‐RSV01, RSV604, presatovir, MDT‐637, lumicitabine, IFN‐α1b, rilematovir, enzaplatovir, AK0529, sisunatovir, PC786, EDP‐938). Of the mAbs reviewed, nirsevimab and clesrovimab hold considerable promise. The timeline for RSV‐specific AV availability is less advanced, although EDP‐938 and AK0529 have reported promising phase 2 efficacy and safety data. Moving forward, passive immunisation and treatment options for RSV infection will play a significant role in reducing the health burden of RSV, complementing recent advancements in vaccine development.Trial RegistrationPROSPERO registration: CRD42022376633
Natural Lipase Inhibitors in Recent Years: A Review
Authors: Bülbül Metin , Çokdinleyen Selin 
Published: August 2024

AbstractObesity is a condition caused by abnormal fat accumulation. The prevalence of obesity and related diseases is increasing globally, and efforts to find solutions are ongoing. In addition to diet, exercise, and surgery, drug therapy is recommended for individuals seeking a solution. Current anti‐obesity drugs target central and peripheral pathways. However, drugs targeting the central nervous system have serious side effects. Therefore, one of the approaches in the treatment of obesity is to inhibit pancreatic lipase (PL), which acts on peripheral pathways. Currently, the only clinically approved PL inhibitor is Orlistat, but this semi‐synthetic drug has also been associated with unwanted side effects. Recently, there has been extensive research on natural sources and natural products derived from these sources as potential lipase inhibitors with fewer side effects. This article reviews recent in vitro studies on inhibiting the PL enzyme by extracts from plants, fungi, and algae, as well as natural products derived from these extracts. In addition, the review presents recent molecular docking and in vivo studies demonstrating potential natural PL inhibitors.
A Synthetic Tetra‐Amide Macrocycle for Anion Recognition at Molecular Level
Authors: Singh Surajit , Shit Ananda , Gumtya Milan , Haldar Debasish 
Published: August 2024

AbstractAn engineered tetra‐amide macrocycle is presented, and its conformation and anion recognition properties are investigated. The tetra‐amide macrocycle 1, containing the m‐amino benzoic acid, 1,3‐benzenedicarboxylic acid and m‐xylenedinediamine adopts an envelope‐like conformation in solid‐state, where the m‐xylenedinediamine ring is perpendicular with the molecular plain. The tetra‐amide macrocycle 1 is able to bind anions such as halides, sulphate and phosphate in DMSO (dimethyl sulphoxide) solution. The stabilities of the fluoride (2.6×103 M−1) and chloride (5.6×102 M−1) complexes of 1 in DMSO is higher than that of bromide (66 M−1) and iodide (52 M−1). SO42− complexes of 1 in DMSO is more stable than the HSO4−, NO3− and H2PO4− complexes. Using this information, a quantitative evaluation of the stability of the 1 : 1 complex of 1, for which overall binding energy in the order −123.98 kcal/mol for SO42−was calculated. The strong binding affinity of the tetra‐amide macrocycle 1 toward the SO42− ion can be explained on the basis of non‐covalant interaction like ion−dipole interaction, hydrogen bonding interaction and size selectivity.
The Fabrication of Supramolecular Gel Based on Cholesterol‐Substituted Azobenzene and its Multiple Applications
Authors: Zhao Yanan , Ma Liang , Wang Fengxia , Zhang Mingfang , Song Yuxin , Xing Huan , Yang Guang 
Published: August 2024

AbstractA supramolecular low molecular weight organogelator (CNAZO) containing azobenzene and cholesterol units was synthesized, and its applications have been studied. The CNAZO gelator displays excellent gelation ability in six kinds of organic solvents with satisfactory transparency and lower critical gelation concentrations. Meanwhile, the chirality can be transferred from the cholesterol unit to the azobenzene group, which can be reversibly modulated through 365 nm UV light irradiation and heating‐cooling treatment. Compared with D‐limonene, CNAZO can form a stable organogel and exhibits obvious CD signals in the mixed solvent that containing L‐limonene, which can be used for chiral recognition of limonene. Owing to the phase‐selective ability and porous network structure, CNAZO can also be chosen for the separation and recovery of petrol from water and be utilized for rhodamine B (RhB) adsorption with removal efficiency (Re) of 99 %. These interesting insights indicated that the CNAZO gelator could be selected in the design of sensors and in environmental remediation fields.
Sequential Responsive Multifunctional Nanomicelle Effectuates Collective Elimination of Breast Cancer and Cancer Stem Cells
Authors: Wang Xing , Tang Yuqi , Yang Li , Wang Xiaohan , Qi Zhengjian 
Published: August 2024

AbstractDesigning effective multifunctional nanodrugs to achieve multimodal treatment of tumors is an ideal choice to improve the poor clinical outcomes of current anti‐tumor therapies. Here, a multifunctional nanomicelle DC@H loaded with sarcoma kinase and cyclooxygenase‐2 protein dual target inhibitor DI02 is designed and prepared, which is sequentially catalyzed by carboxylesterase and glutathione for reduction, and strengthens the inhibition of cancer stem cell (CSC) related protein STAT3. The camptothecin carried by the DC@H ensures the effectiveness of chemotherapy. Ultimately, DC@H precisely releases and achieves effective inhibition of xenograft tumors based on the combination of chemotherapy, targeted therapy, and chemodynamic therapy, with a tumor inhibition rate of up to 90.89% in BALB/c nude mice. Research on lung metastasis proves that the CSC inhibitory characteristic of DC@H is a direct cause of the elimination of tumor metastatic nodules. There is no doubt that the multifunctional nano drug DC@H, which effectuates the collective elimination of breast cancer and cancer stem cells, provides a promising direction for achieving complete tumor cure in clinical practice.
Leveraging Non‐Radiative Transitions in Asphaltenes‐Derived Carbon Dots for Cancer Photothermal Therapy
Authors: Akakuru Ozioma Udochukwu , Xing Jie , Huang Shuqi , Iqbal Zubair M. , Bryant Steven , Wu Aiguo , Trifkovic Milana 
Published: August 2024

AbstractCancer photothermal therapy leverages the capability of photothermal agents to convert light to heat for cancer cell ablation and necrosis. However, most conventional photothermal agents (Au, CuS, Pd, mesoporous silica nanoparticles, and indocyanine green dye) either face scalability challenges or photobleached upon prolonged irradiation which jeopardizes practical applications. Here, asphaltenes‐derived carbon dots (ACDs, 5 nm) are rationally engineered as a low‐cost and photostable photothermal agent with negligible in vivo cytotoxicity. The abundant water‐solvating functional groups on the ACDs surface endows them with excellent water re‐dispersibility that outperforms those of most commercial nanomaterials. Photothermal therapeutic property of the ACDs is mechanistically described by non‐radiative transitions of excited electrons at 808 nm via internal conversions and vibrational relaxations. Consequently, the ACDs offer cancer photothermal therapy in mice within 15 days post‐exposure to one‐time near infrared irradiation. This pioneering study showcases the first utilization of asphaltenes‐based materials for cancer therapy and is expected to arouse further utilization of such materials in various cancer theranostics.
Releasing Au Electrons to Mo Site for Weakened Mo─H Bond of Mo2C MXene Cocatalyst Toward Improved Photocatalytic H2 Production
Authors: Ke Xiaochun , Wang Ping , Wang Xuefei , Chen Feng , Yu Huogen 
Published: August 2024

AbstractMo2C MXene (Mo2CTx) is one of the most promising noble‐metal‐free cocatalysts for photocatalytic H2 production because of its excellent electron transport capacity and abundant Mo sites. However, Mo2CTx typically exhibits a strong Mo─Hads bond, resulting in that the produced H2 difficultly desorbs from the Mo surface for the limited activity. To effectively weaken the Mo─Hads bond, in this paper, a regulation strategy of electron donor Au releasing electrons to the d‐orbitals of Mo sites in Mo2CTx is proposed. Herein, the Mo2CTx‐Au/CdS photocatalysts are prepared through a two‐step process, including the initial loading of Au nanoparticles on the Mo2CTx surface and the subsequent in situ growth of CdS onto the Mo2CTx‐Au surface. Photocatalytic measurements indicate that the maximal H2‐production rate of Mo2CTx‐Au/CdS reaches up to 2799.44 µmol g−1 h−1, which is 30.99 and 3.60 times higher than that of CdS and Mo2CTx/CdS, respectively. Experimental and theoretical data corroborate that metallic Au can transfer free electrons to Mo2CTx to generate electron‐enriched Moδ‐ sites, thus causing the increased antibonding‐orbital occupancy state and the weakened Mo─Hads bond for the boosted H2‐production efficiency. This research provides a promising approach for designing Mo2CTx‐based cocatalysts by regulating the antibonding‐orbital occupancy of Mo sites for improved photocatalytic performance.
Hollow Structure Derived Phosphide Nanosheets for Water Oxidation
Authors: Dong Ying , Jiao Jixiang , Wang Yadong , Yu Jun , Mu Shichun 
Published: August 2024

AbstractAvoiding the stacking of active sites in catalyst structural design is a promising route for realizing active oxygen evolution reaction (OER). Herein, using a CoFe Prussian blue analoge cube with hollow structure (C‐CoFe PBA) as a derived support, a highly effective Ni2P‐FeP4‐Co2P catalyst with a larger specific surface area is reported. Benefiting from the abundant active sites and fast charge transfer capability of the phosphide nanosheets, the Ni2P‐FeP4‐Co2P catalyst in 1 m KOH requires only overpotentials of 248 and 277 mV to reach current density of 10 and 50 mA cm−2 and outperforms the commercial catalyst RuO2 and most reported non‐noble metal OER catalysts. In addition, the two‐electrode system consisting of Ni2P‐FeP4‐Co2P and Pt/C is able to achieve a current density of 10 and 50 mA cm−2 at 1.529 and 1.65 V. This work provides more ideas and directions for synthesizing transition metal catalysts for efficient OER performance.
Digitalization of Healthcare in Low-and Middle-Income Countries (LMICs): An Overview
Authors: Kozlakidis Zisis , Sargsyan Karine 
Published: August 2024

AbstractThe digitalization of healthcare- considered as the collective outcome of individual digitization attempts- is an ongoing global trend, which has accelerated during the COVID-19 pandemic. It occurs at a different rate and follows different implementation pathways across the world. However, there is still little published information relating to this process in Low-and Middle-Income Countries (LMICs), a knowledge gap which this good addresses head on. In this first chapter we present an overview of the main themes of the current book, the rationale behind the choice of terminologies and also the aims of this book. The latter are to highlight the many yet disconnected success stories from LMICs, to identify challenges and opportunities, and to maintain the spotlight on the dynamic nature of the healthcare digitalization process.
Digital Health: Needs, Trends, Applications
Authors: Kozlakidis Zisis , Wootton Tracy , Sargsyan Karine 
Published: August 2024

AbstractDigital health and the digitalization of healthcare are universal trends, supported by the increasing use of technology, increasing development of relevant infrastructure, reducing accessibility costs and technological advancements. The term digital health is a blanket term that covers a wide range of themes and applications. In this chapter, the term digital health is further reviewed, as different facets of it are accommodated within the different chapters of the book. Additionally, the main differences between digitization of healthcare between high-income and low-and medium-income countries (LMICs) are highlighted. Furthermore, there is particular attention given to the differences between digital application innovation versus diffusion. Taken together, this chapter provides a concise overview on the background and common understanding that should be used when reading this book, and the particular angles used to investigate the digitization of healthcare in LMICs.
Universal Internet Access Supporting Healthcare Provision: The Example of Indonesia
Authors: Aisyah Dewi Nur , Naman Maryan , Adisasmito Wiku , Kozlakidis Zisis 
Published: August 2024

AbstractIndonesia formulates a particularly interesting example in terms of internet connectivity, accessibility to healthcare services and diseases surveillance, in relation to digitization of healthcare. As an upper-middle-income country, Indonesia introduced universal health care across the country in 2018, and exhibits a highly developed rate of digitization observed. The recent introduction of digital pandemic surveillance and reporting technologies, represents the single-largest introduction of digital technologies within Indonesian healthcare. Significantly, almost all of those technologies resulted from the collaboration of government bodies with private providers at a national and/or subnational scale, along with higher education institutions and research institutions. Therefore, the experiences from Indonesia provide a tangible example for introducing digital healthcare technologies at a national scale, that can be used as a blueprint for other LMIC settings. Furthermore, the integration of these technologies within healthcare demonstrated the potential benefit for digital technologies to inform public health policy at scale and during health emergencies.
Prescriptive analytics systems revised: a systematic literature review from an information systems perspective
Authors: Wissuchek Christopher , Zschech Patrick 
Published: August 2024

AbstractPrescriptive Analytics Systems (PAS) represent the most mature iteration of business analytics, significantly enhancing organizational decision-making. Recently, research has gained traction, with various technological innovations, including machine learning and artificial intelligence, significantly influencing the design of PAS. Although recent studies highlight these developments, the rising trend focuses on broader implications, such as the synergies and delegation between systems and users in organizational decision-making environments. Against this backdrop, we utilized a systematic literature review of 262 articles to build on this evolving perspective. Guided by general systems theory and socio-technical thinking, the concept of an information systems artifact directed this review. Our first objective was to clarify the essential subsystems, identifying 23 constituent components of PAS. Subsequently, we delved into the meta-level design of PAS, emphasizing the synergy and delegation between the human decision-maker and prescriptive analytics in supporting organizational decisions. From this exploration, four distinct system archetypes emerged: advisory, executive, adaptive, and self-governing PAS. Lastly, we engaged with affordance theory, illuminating the action potential of PAS. Our study advances the perspective on PAS, specifically from a broader socio-technical and information systems viewpoint, highlighting six distinct research directions, acting as a launchpad for future research in the domain.
Do people reach 100 by surviving, delaying, or avoiding diseases? A life course comparison of centenarians and non-centenarians from the same birth cohorts
Authors: Zhang Yuge , Murata Shunsuke , Schmidt-Mende Katharina , Ebeling Marcus , Modig Karin 
Published: August 2024

AbstractCentenarians are perceived as pioneers of longevity, possessing the secrets to surpassing age 100. It remains unclear whether they achieve this by surviving, delaying, or avoiding diseases to a greater extent than their shorter-lived peers. This register-based study encompassed all individuals aged 60 and older, born between 1912 and 1922 in Stockholm County, Sweden (N = 170,787). Using historical data, individuals were prospectively followed from 1972 to 2022 and stratified by their age at death. Age-specific incidence rates and remaining lifetime risk from age 60 were calculated for stroke, myocardial infarction, hip fracture, and various cancers (including colorectal, breast, and prostate), and compared between those who survived to age 100 and their shorter-lived counterparts. Centenarians had lower age-specific incidence rates for almost all diseases and ages. Despite longer life spans, their lifetime risks for all diseases except hip fracture were lower than those of non-centenarians. This suggests that centenarians delay, and even avoid, many of the major age-related diseases rather than surviving them to a higher extent. The findings that centenarians not only exhibit lower disease rates at younger ages compared to their shorter-lived peers but throughout their lives challenge the notion that longer life span inevitably leads to higher disease rates or a simple shift of diseases to older ages.
Effect of Continuous Positive Airway Pressure Treatment on Cardiovascular Outcomes in Obstructive Sleep Apnea
Authors: Balcan Baran , Peker Yuksel 
Published: August 2024

Abstract
Purpose of Review
Obstructive Sleep Apnea (OSA) is a common sleep disorder with significant cardiovascular implications, affecting a broad adult demographic. This review explores OSA’s link to cardiovascular diseases and assesses Continuous Positive Airway Pressure (CPAP) therapy’s role in managing these conditions.

Recent Findings
OSA is associated with coronary heart disease, heart failure, hypertension, arrhythmias, and pulmonary hypertension, due to intermittent hypoxia, inflammation, and sympathetic activation. CPAP therapy, known for enhancing sleep and reducing daytime fatigue, has varying impacts on cardiovascular health.

Summary
While results on coronary heart disease are mixed, CPAP shows promise in improving heart failure outcomes, reducing hypertension, and managing arrhythmias, with potential benefits for pulmonary hypertension through improved hemodynamics. This underscores CPAP’s value in OSA’s holistic management, highlighting its beyond-respiratory benefits. However, adherence challenges persist, calling for more research on CPAP’s long-term cardiovascular effects. This advocates a multidisciplinary approach to OSA, considering its extensive health consequences.
Cross-cultural differences in the effects of the ambient scent on in-store behavior: the role of companionship
Authors: Chatterjee Shuvam , Bryla Pawel , Saleh Mahmoud Ibraheam 
Published: August 2024

AbstractWhile previous studies have examined the influence of store atmospherics and social factors independently, limited research has investigated their synergistic impacts across cultures. In particular, the interactions between ambient scents, companionship influences, and cross-cultural shopping customs remain underexplored. Therefore, this study investigates how ambient scents influence retail shopping behaviors with a companion across cultures. Data were collected via surveys administered to customers in Polish and Indian shopping malls (N = 579), examining the impact of detected fragrances on time spent, money spent, purchase decisions, cognitive responses, and attitudes. Shopping with a companion in a scented environment has a more positive influence on time spent, money spent and impulse purchases in India than in Poland. There is no difference between these two cultures regarding cognitive responses to a scented retail environment, but there are significant differences for attitudinal responses and repurchase intentions. We found a positive association between the consumer rating of the shopping environment in terms of the ambient scent and the amount of money spent in India, but not in Poland. Theoretical and practical implications are discussed for optimizing atmospheric design according to cultural customs around shopping companionships.
Assessment of Machine Learning Algorithms for Land Cover Classification in a Complex Mountainous Landscape
Authors: Amin Gomal , Imtiaz Iqra , Haroon Ehsan , Saqib Najum us , Shahzad Muhammad Imran , Nazeer Majid 
Published: August 2024

AbstractMapping land cover (LC) in mountainous regions, such as the Gilgit-Baltistan (GB) area of Pakistan, presents significant challenges due to complex terrain, limited data availability, and accessibility constraints. This study addresses these challenges by developing a robust, data-driven approach to classify LC using high-resolution Sentinel-2 (S-2) satellite imagery from 2019 within Google Earth Engine (GEE). The research evaluated the performance of various machine learning (ML) algorithms, including classification and regression tree (CART), maximum entropy (gmoMaxEnt), minimum distance (minDistance), support vector machine (SVM), and random forest (RF), without extensive hyperparameter tuning. Additionally, ten different scenarios based on various band combinations of S-2 data were used as input for running the ML models. The LC classification was performed using 2759 sample points, with 70% for training and 30% for validation. The results indicate that the RF algorithm outperformed all other classifiers under scenario S1 (using 10 bands), achieving an overall accuracy (OA) of 0.79 and a kappa coefficient of 0.76. The final RF-based LC mapping shows the following percentage distribution: barren land (46.7%), snow cover (22.9%), glacier (7.9%), grasses (7.2%), water (4.7%), wetland (2.9%), built-up (2.7%), agriculture (1.9%), and forest (1.2%). It is suggested that the best identified RF classifier within the GEE environment should be used for advanced multi-source data image classification with hyperparameter tuning to increase OA. Additionally, it is suggested to build the capacity of various stakeholders in GB for better monitoring of LC changes and resource management using geospatial big data.