bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diabetes is associated with increased liver cancer incidence and mortality in adults: A report from Asia Cohort Consortium
Authors: Ho Nhan Thi , Abe Sarah Krull , Rahman Md. Shafiur , Islam Rashedul , Saito Eiko , Gupta Prakash C. , Pednekar Mangesh S. , Sawada Norie , Tsugane Shoichiro , Tamakoshi Akiko , Kimura Takashi , Shu Xiao‐Ou , Gao Yu‐Tang , Koh Woon‐Puay , Cai Hui , Wen Wanqing , Sakata Ritsu , Tsuji Ichiro , Malekzadeh Reza , Pourshams Akram , Kanemura Seiki , Kim Jeongseon , Chen Yu , Ito Hidemi , Oze Isao , Nagata Chisato , Wada Keiko , Sugawara Yumi , Park Sue K. , Shin Aesun , Yuan Jian‐Min , Wang Renwei , Kweon Sun‐Seog , Shin Min‐Ho , Poustchi Hossein , Vardanjani Hossein Molavi , Ahsan Habibul , Chia Kee Seng , Matsuo Keitaro , Qiao You‐Lin , Rothman Nathaniel , Zheng Wei , Inoue Manami , Kang Daehee , Boffetta Paolo 
Published: April 2024

AbstractThere has been growing evidence suggesting that diabetes may be associated with increased liver cancer risk. However, studies conducted in Asian countries are limited. This project considered data of 968,738 adults pooled from 20 cohort studies of Asia Cohort Consortium to examine the association between baseline diabetes and liver cancer incidence and mortality. Cox proportional hazard model and competing risk approach was used for pooled data. Two‐stage meta‐analysis across studies was also done. There were 839,194 subjects with valid data regarding liver cancer incidence (5654 liver cancer cases [48.29/100,000 person‐years]), follow‐up time and baseline diabetes (44,781 with diabetes [5.3%]). There were 747,198 subjects with valid data regarding liver cancer mortality (5020 liver cancer deaths [44.03/100,000 person‐years]), follow‐up time and baseline diabetes (43,243 with diabetes [5.8%]). Hazard ratio (HR) (95% confidence interval [95%CI]) of liver cancer diagnosis in those with vs. without baseline diabetes was 1.97 (1.79, 2.16) (p < .0001) after adjusting for baseline age, gender, body mass index, tobacco smoking, alcohol use, and heterogeneity across studies (n = 586,072; events = 4620). Baseline diabetes was associated with increased cumulative incidence of death due to liver cancer (adjusted HR (95%CI) = 1.97 (1.79, 2.18); p < .0001) (n = 595,193; events = 4110). A two‐stage meta‐analytic approach showed similar results. This paper adds important population‐based evidence to current literature regarding the increased incidence and mortality of liver cancer in adults with diabetes. The analysis of data pooled from 20 studies of different Asian countries and the meta‐analysis across studies with large number of subjects makes the results robust.
Toward an extended framework of exhaust data for predictive analytics: An empirical approach
Authors: O'Leary Daniel E. 
Published: April 2024

SummaryWe investigate applying and extending an exhaust data framework, using an empirical analysis to explore and compare different predictive analytic capabilities of both internal and external exhaust data for estimating sales. We use internal exhaust data that explores the relationship between app usage and web traffic data and estimation of sales and find the ability to predict sales at least 4 days ahead. We also develop predictive models of sales, using external data of Google searches, extending the previous research to include additional macroeconomic Google variables and Wikipedia pageviews, finding that we can predict at least 4 months ahead, suggesting a portfolio of exhaust data be used. We introduce the roles of internal and external exhaust data, direct and indirect exhaust data and transformed exhaust data, into an exhaust data framework. We examine what appear to be different levels of information fineness and predictability from those exhaust data sources. We also note the importance of the types of devices (e.g., mobile) and the types of commerce (e.g., mobile commerce) in creating and finding different types of exhaust. Finally, we apply an existing exhaust data framework to develop macroeconomic data exhaust variables, as the means of capturing inflation and unemployment information, using Google searches.
Mobile infrastructure quality, regulatory quality, government effectiveness: Does e‐government development matter?
Authors: Inusah Sulemana , Ibrahim Osman Adam , Narsam Salifu Zaruk 
Published: April 2024

AbstractThere is a great deal of interest in how mobile infrastructure quality, regulatory quality, and a nation's capacity to develop efficient e‐government systems affect government effectiveness. The literature ignores the part electronic government plays in either the regulatory quality‐government effectiveness or mobile infrastructure quality‐government effectiveness nexuses, despite the fact that existing research indicates that the effects of these factors on government effectiveness vary across nations. Secondary data for 52 African nations was extracted from World Governance Indicator (WGI), Mobile Connectivity Index (MCI), and United Nations E‐government Database to empirically investigate the mediating relationship of e‐governments using hypothesized model. The positivist paradigm is considered appropriate for this study because it focuses on validating and testing a hypothesized model. The results show a significant relationship between mobile infrastructure quality and e‐government development, regulatory quality and e‐government development, e‐government and government effectiveness. However, there was no significant relationship between mobile infrastructure quality and government effectiveness. Additionally, e‐government was found to mediate the relationship between regulatory quality and government effectiveness and the relationship between mobile infrastructure quality and government effectiveness. This suggests that government effectiveness is enhanced when a country is able to develop and implement a good electronic system. The successful implementation of e‐governance practices offers better delivery of services to citizens, improved interactions with business, citizen empowerment through access to information, greater convenience, and cost reductions. In addition, establishing protections and legal reforms will be needed to ensure, among other things, the privacy, security and legal recognition of electronic interactions and electronic signatures.
Computer intelligent network security and preventive measures of internet of things devices
Authors: Ye Jianfeng , Li Li , Zheng Kaiyan 
Published: April 2024

AbstractThe paper focused on researching and analyzing computer intelligence network security and preventive measures in the context of the IoT, aiming to improve the security coefficient of the IoT network and reduce IoT network security accidents through computer intelligence technology. Through experiments, we obtained data that demonstrated the effectiveness of computer intelligence in improving IoT security. In several groups of experiments, the maximum number of information leaks in the IoT network using computer intelligence within a month was 10 times smaller than the maximum number in traditional IoT networks, and the minimum number was 8 times smaller. This shows that computer intelligence can prevent information leakage in the IoT. Similarly, in several groups of experiments, the maximum number of data thefts in a month in the IoT network using computer intelligence was 15 times smaller than the maximum number in traditional IoT networks, and the minimum number was 16 times smaller. This demonstrates that computer intelligence can prevent data theft in the IoT. These findings confirm that computer intelligence can improve the security of the IoT network.
Lateralization of cortical activity, networks, and hemodynamic lag after stroke: A resting‐state fNIRS study
Authors: Xu Gongcheng , Chen Tiandi , Yin Jiahui , Shao Guangjian , Fan Yubo , Li Zengyong 
Published: April 2024

AbstractFocal damage due to stroke causes widespread abnormal changes in brain function and hemispheric asymmetry. In this study, functional near‐infrared spectroscopy (fNIRS) was used to collect resting‐state hemoglobin data from 85 patients with subacute stroke and 26 healthy controls, to comparatively analyze the characteristics of lateralization after stroke in terms of cortical activity, functional networks, and hemodynamic lags. Higher intensity of motor cortical activity, lower hemispheric autonomy, and more abnormal hemodynamic leads or lags were found in the affected hemisphere. Lateralization metrics of the three aspects were all associated with the Fugl‐Meyer score. The results of this study prove that three lateralization metrics may provide clinical reference for stroke rehabilitation. Meanwhile, the present study piloted the use of resting‐state fNIRS for analyzing hemodynamic lag, demonstrating the potential of fNIRS to assess hemodynamic abnormalities in addition to the study of cortical neurological function after stroke.
Impact of theta transcranial alternating current stimulation on language production in adult classic galactosemia patients
Authors: Derks Britt , Kumar Varsha Shashi , Yadnik Sai , Panis Bianca , Bosch Annet M. , Cassiman David , Janssen Mirian C. H. , Schuhmann Teresa , Rubio‐Gozalbo M. Estela , Jansma Bernadette M. 
Published: April 2024

AbstractPatients with classic galactosemia (CG), an inborn error of galactose metabolism, suffer from impairments in cognition, including language processing. Potential causes are atypical brain oscillations. Recent electroencephalogram (EEG) showed differences in the P300 event‐related‐potential (ERP) and alterations in the alpha/theta‐range during speech planning. This study investigated whether transcranial alternating current stimulation (tACS) at theta‐frequency compared to sham can cause a normalization of the ERP post stimulation and improves language performance. Eleven CG patients and fourteen healthy controls participated in two tACS‐sessions (theta 6.5 Hz/sham). They were engaged in an active language task, describing animated scenes at three moments, that is, pre/during/post stimulation. Pre and post stimulation, behavior (naming accuracy, voice‐onset‐times; VOT) and mean‐amplitudes of ERP were compared, by means of a P300 time‐window analysis and cluster‐based‐permutation testing during speech planning. The results showed that theta stimulation, not sham, significantly reduced naming error‐percentage in patients, not in controls. Theta did not systematically speed up naming beyond a general learning effect, which was larger for the patients. The EEG analysis revealed a significant pre‐post stimulation effect (P300/late positivity), in patients and during theta stimulation only. In conclusion, theta‐tACS improved accuracy in language performance in CG patients compared to controls and altered the P300 and late positive ERP‐amplitude, suggesting a lasting effect on neural oscillation and behavior.
Wolverine density, survival, and population trends in the Canadian boreal forest
Authors: Scrafford Matthew A. , Seguin Jacob L. , McCaw Laura K. , Boyce Mark S. , Ray Justina C. 
Published: April 2024

AbstractThere is limited information available on wolverine (Gulo gulo) population density and trends in the boreal forest of North America. We estimated wolverine density using spatial capture‐recapture methods across 2 boreal forest study areas in Red Lake, Ontario (26,568 km2) and Rainbow Lake, Alberta (19,084 km2), Canada. We also used radio‐telemetry data to estimate annual survival of adult and sub‐adult wolverines and evaluated population trends with a stage‐based matrix model. We used an array of run poles and live traps to detect wolverines. In Red Lake over 3 winter field seasons (2019–2022), we detected 56 individual wolverines (17 females, 32 males, and 7 unknown sex), and in Rainbow Lake over 2 field seasons (2014–2016), we detected 48 individuals (19 females, 18 males, and 11 of unknown sex). Average densities in Red Lake and Rainbow Lake were 3.64 and 6.74 wolverines/1,000 km2, respectively. Adults and sub‐adults occurred at equal abundance. Spring snow cover, roads, and industrial developments were not associated with spatial patterns of wolverine density. Most deaths occurred near roads; wolverines were killed in fur traps set along roads, by wolves using roads to travel, and by vehicles. The largest source of death was from incidental (n = 6 in Red Lake) or licensed fur trapping (n = 8 in Rainbow Lake) and we report 8 injuries from fur trapping sets. Red Lake survival estimates for adults (0.87) and sub‐adults (0.86) contributed to a stable population trend. Rainbow Lake survival estimates for adults (0.66) and sub‐adults (0.50) contributed to a declining population trend based on a relatively low sample of radio‐days. Red Lake and Rainbow Lake combined survival estimates for adults (0.77) and sub‐adults (0.73) also contributed to a declining population trend. Our survival and population modeling suggests that human‐caused mortality is a significant risk to these populations. Our results can be applied to wolverine status assessments and used as benchmarks for future monitoring. Wolverine population stability or growth might be achieved by reducing incidental trapping deaths or injury and hindering human access to wolverine habitats through decommissioning or limiting development of industrial roads or other anthropogenic linear features.
Salivary α‐Synuclein as a Candidate Biomarker of Parkinsonism in 22q11.2 Deletion Syndrome
Authors: Fanella Martina , Cerulli Irelli Emanuele , Accinni Tommaso , Di Fabio Fabio , Putotto Carolina , Pulvirenti Federica , Bellomi Francesco E. , Di Bonaventura Carlo , Vivacqua Giorgio 
Published: April 2024

AbstractBackground22q11.2 deletion syndrome (22q11.2DS) has been linked to an increased risk of early‐onset Parkinson's disease. However, the pathophysiological mechanisms underlying parkinsonism remain poorly understood.ObjectiveThe objective is to investigate salivary total α‐synuclein levels in 22q11.2DS patients with and without parkinsonian motor signs.MethodsThis cross‐sectional study included 10 patients with 22q11.2DS with parkinsonism (Park+), ten 22q11.2DS patients without parkinsonism (Park−), and 10 age and sex‐comparable healthy subjects (HS). Salivary and serum α‐synuclein levels were measured using enzyme‐linked immunosorbent assay.ResultsSalivary total α‐synuclein concentration was significantly lower in Park (+) patients than in Park (−) patients and HS (P = 0.007). In addition, salivary α‐synuclein showed good accuracy in discriminating Park (+) from Park (−) patients (area under the curve = 0.86) and correlated with motor severity and cognitive impairment.ConclusionThis exploratory study suggests that the parkinsonian phenotype of 22q11.2DS is associated with a reduced concentration of monomeric α‐synuclein in biological fluids.
Characteristics of mesoscale convective systems and related precipitation in the three‐river‐source region of China
Authors: Xie Qiyu , Yao Xiuping 
Published: April 2024

AbstractMesoscale convective systems (MCSs) are important air water sources to the Three‐river‐source (TRS) region known as the “Chinese water tower.” Using hourly equivalent blackbody temperature (TBB) data from geostationary satellites of Chinese Fengyun‐2 series during the warm season (May–August) in 2005–2020 and an objective algorithm, MCSs in the TRS are divided into meso‐α (MαCS), meso‐β (MβCS), and meso‐γ (MγCS), and MαCS and MβCS are subdivided into larger meso‐α (LMαCS), smaller meso‐α (SMαCS), larger meso‐β (LMβCS), and smaller meso‐β (SMβCS). Results show that a high‐frequency zone of MCSs in the TRS distributes along the source of the rivers. Most MCSs, except LMαCS, develop and dissipate in situ. The interannual variation in MCS frequency exhibits a decreasing trend, especially after 2013, mainly due to the decrease in MCSs in the source region of the Yellow–Lancang River. The occurrence of MCSs peaks in August, but MCSs are most likely to produce precipitation in July and usually generate between 1600–2200 h LST (UTC + 8). The precipitation caused by MCSs to the total precipitation (precipitation ratio, PR) accounts for about 40%; MCS PR is closely related to, and increases with, the horizontal scale of the MCS, with MαCS PR being the highest, exceeding 67%. The contribution of MCSs to precipitation is mainly reflected in weak precipitation, smaller than 10.0 mm/h. Most of the maximum precipitation of MCSs appears after MCSs reach their prime, with the maximum lag by MαCS up to 2 h.
Transpiration of neurological phenomena in cancer: Long‐term depression (LTD) abrogates cancer stem cell memory and sensitizes it to metabolic therapy
Authors: Ravichandran Gayathri , Rengan Aravind Kumar 
Published: April 2024

AbstractTherapy resistance and recurrence are irrefutably ascribed to the unique attributes of the cancer stem cell (CSC) population. Therefore, discerning the underlying mechanism is imperative in arbitrating a strategic therapeutic approach. In this study, we have observed the coexistence of neuron‐like cell (NLC) subpopulations in different cancer cell lines. The NLC subset was further validated by transfection studies and was found to be positive for PSD‐95. As a proof of concept, we have also demonstrated the transpiration of neurological phenomena such as long‐term potentiation (LTP) and long‐term depression (LTD) in cancer. We have utilized PMA drug and IL‐13 cytokine to study LTD and LTP, respectively, and observed a correlation between the memory marker (GLUN2B) and stemness markers (CD95 and CD58). Moreover, the transcriptional protein pCREB, which plays a crucial role in memory formation, was found to influence CD44 protein levels. These findings suggest that the instigation of LTD can impair cellular memory and sensitize CSC to the metabolic inhibitor, 3Bromopyruvate. Furthermore, this study interfaces the neurobiology of cancer and nanomedicine, wherein we have used biomimetic nanocarriers for the active targeting of drugs and demonstrate their ability to augment therapeutic efficiency.
Continuous alcohol withdrawal delirium and physical illness‐associated delirium in a man brought to the emergency department after a disaster: A case report
Authors: Kikuchi Kota , Hasegawa Chie , Sasaki Taro , Sato Yoshiteru , Owada Tamaki , Shindo Yunosuke , Kawamata Yasushi , Sugawara Norio , Yasui‐Furukori Norio 
Published: April 2024

AbstractBackgroundRisk factors for alcohol withdrawal delirium include heavy drinking, prior alcohol withdrawal delirium or convulsions, nondrug sedative use, and a history of tachycardia, withdrawal, and infections.Case PresentationA 76‐year‐old man with a history of heavy drinking and type 2 diabetes was hospitalized for hypothermia, rhabdomyolysis, and acute renal failure after a typhoon. He developed alcohol withdrawal symptoms 24 h after his last drink, leading to severe withdrawal delirium characterized by restlessness, delusions, and altered consciousness. Treatment included lorazepam, in addition to comprehensive care for his physical condition. His condition fluctuated, especially at night, with his psychiatric symptoms exacerbated by his physical illnesses, suggesting delirium due to the coexistence of severe and multiple physical illnesses. After 44 days, following substantial improvements in both mental and physical health with perospirone, the patient was discharged.ConclusionThis case emphasizes the need for multidisciplinary collaboration in the treatment of such patients, especially during disasters, and the importance of long‐term monitoring for elderly patients with alcohol dependence syndrome after a disaster.
Scoping review on soil microbiome and gut health—Are soil microorganisms missing from the planetary health plate?
Authors: Roslund Marja I. , Laitinen Olli H. , Sinkkonen Aki 
Published: April 2024

Abstract

Evidence suggests that soil microorganisms, to which humans have been exposed throughout our evolutionary history, were essential for the evolution of the human gut microbiome and immunological resilience. In recent decades, gut microbial diversity has decreased along with urbanization and global loss of biodiversity. At the same time, the prevalence of chronic, non‐communicable inflammatory diseases has been increasing in urbanized societies.

Here, we investigate whether the existing literature supports the hypothesis that ingesting soil microbiota provides immunological resilience. We focus on identifying research gaps and challenges that must be overcome to understand the effects of eating soil on immunological resilience. A scoping review of the peer‐reviewed empirical literature was carried out. The search focused on studies that exposed mammals to direct soil contact and measured the gut microbiota and host response; 12 articles, including four human, six mouse and two other mammal studies, were identified for inclusion in the review. In addition, seven articles related to human health risks associated with soil consumption were included in the review.

Studies indicate that ingesting soil‐bound microorganisms supports immunological resilience. There is a lack of intervention studies that include human study subjects that test orally the effect of soil microorganisms on the gut microbiota and immunological resilience.

Challenges, particularly soil heterogeneity and risks related to soil biological and chemical properties, have prevented progress to fully understand the effect of oral intake of soil‐bound microorganisms on human gut microbiota and health.

The results encourage the development of technologies that allow daily exposure to soil microbiota. Future research should be aimed to precisely test the importance of oral intake of soil‐bound microorganisms in gut microbial homeostasis and immunological resilience.

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Colonization of Piriformospora indica enhances rice resistance against the brown planthopper Nilaparvata lugens
Authors: Xu Gang , Li Chutong , Gui Wei , Xu Meiqi , Lu Jing , Qian Mingshi , Zhang Yuanyuan , Yang Guoqing 
Published: April 2024

AbstractBACKGROUNDPiriformospora indica is an endophytic fungus that can promote the growth and confer resistance against diverse stresses in host plants by root colonization. However, the effects of P. indica colonization on improving plant resistance to insect pests are still less explored. The brown planthopper (BPH) Nilaparvata lugens is a serious monophagous pest that causes extensive damage to rice plants. Here, we aimed to evaluate the effects of P. indica colonization on rice resistance against BPH.RESULTSThe colonization of P. indica in rice roots resisted damage from BPH. Age‐stage, two‐sex life table analyses showed that feeding on P. indica‐colonized rice plants affected BPH's female adult longevity, oviposition period, fecundity, population parameters and population size. BPH female adults feeding on P. indica‐colonized plants excreted less honeydew. P. indica colonization remarkably increased the duration of np, N2, and N3 waveform, as well as the occurrences of N1 and N2, and decreased the duration of N4‐b for BPH on rice plants. Meanwhile, the weight of BPH on the colonized plants was significantly lower than the control. In addition, the feeding and oviposition preferences of BPH to P. indica‐colonized plants were reduced. qRT‐RCR analyses revealed that P. indica colonization induced the expressions of jasmonic acid (JA)‐ and salicylic acid (SA)‐related genes in rice plants.CONCLUSIONP. indica colonization can reduce BPH performance on rice plants with potential inhibitory effects on population growth. Collectively, these results support the potential for endophytically colonized P. indica as an effective strategy to improve insect resistance of crops. © 2024 Society of Chemical Industry.