bluuebunny/crossref_metadata_2025_split huggingface dataset:
HSP70 Gene Expression Pattern in Peripheral Blood Mononuclear Cells during Different Seasons in Pandharpuri Buffaloes
Authors: Ambade R.B. , Dalvi S.H. , Dighe V.D. , Doiphode A.Y. , Ramteke B.N. , Jadhav S.N. 
Published: April 2023

Background: Heat shock protein is one of the most abundant and best characterized heat shock protein family that consists of highly conserved stress proteins. Amongst these heat shock protein family, HSP70 is expressed in response to stress and plays crucial roles in environmental stress tolerance and adaptation. Thermal stress alters the normal body homeostasis and causes severe detrimental effects on production and productivity of animals and impairs growth, immune status of animal. Therefore, the present study is proposed to study HSP70 gene expression pattern in peripheral blood mononuclear cells. Methods: The present study was conducted to study the relative mRNA expression pattern of HSP70 gene in peripheral blood mononuclear cells (PBMCs) during different seasons in Padharpuri buffaloes. 10 Apparently healthy, non - pregnant Pandharpuri buffaloes (above 2 years of age) were taken for study. Blood samples were collected thrice i.e. once in winter season, once in summer season and once in rainy season. Real-time polymerase chain reaction was applied to investigate mRNA expression of HSP70 gene during different seasons. Specificity of the desired products was documented using analysis of the melting temperature and high resolution gel electrophoresis to verify that the transcripts are of the exact molecular size predicted. Result: To investigate the variation in relative mRNA expression profile of HSP70 gene, Glyceraldehyde 3-phosphate dehydrogenase (GAPDH gene) was used as a housekeeping gene. The relative expression values of HSP70 during summer and rainy seasons were found statistically significant in comparison to winter. These results suggest that HSP70 gene expression varies with season and this variation may play an imperative role in conferring thermo tolerance against heat stress during different seasons.
An Equity-Based Scoring System for Evaluating Surveillance-Related Harm in Public Health Crises
Authors: Amani Bita , McAndrew Breann , Sharif Mienah Z. , Garcia Jamie , Nwankwo Ezinne , Cabral Alejandra , Abotsi-Kowu Consuela , Khan Hamid , Le Cindy , Ponder Monica L. , Ford Chandra L. 
Published: April 2023

BackgroundAlthough surveillance systems used to mitigate disasters serve essential public health functions, communities of color have experienced disproportionate harms (eg, criminalization) as a result of historic and enhanced surveillance.MethodsTo address this, we developed and piloted a novel, equity-based scoring system to evaluate surveillance systems regarding their potential and actual risk of adverse effects on communities made vulnerable through increased exposure to policing, detention/incarceration, deportation, and disruption of access to social services or public resources. To develop the scoring system, we reviewed the literature and surveyed an expert panel on surveillance to identify specific harms (eg, increased policing) that occur through surveillance approaches.ResultsScores were based on type of information collected (individual and/or neighborhood level) and evidence of sharing information with law enforcement. Scores were 0 (no risk of harm identified), 1 (potential for risk), 2 (evidence of risk), and U (data not publicly accessible). To pilot the scoring system, 44 surveillance systems were identified between June 2020 and October 2020 through an environmental scan of systems directly related to COVID-19 (n=21), behavioral and health-related services (n=11), and racism and racism-related factors (n=12). A score of 0-2 was assigned to 91% (n=40) of the systems; 9% were scored U; 30% (n=13) scored a 0. Half scored a 1 (n=22), indicating a “potential for the types of harm of concern in this analysis.” “Evidence of harm,” a score of 2, was found for 12% (n=5).ConclusionsThe potential for surveillance systems to compromise the health and well-being of racialized and/or vulnerable populations has been understudied. This project developed and piloted a scoring system to accomplish this equity-based imperative. The nobler pursuits of public health to improve the health for all must be reconciled with these potential harms.
Management of Lisfranc Injuries
Authors: Carter Thomas H. , Heinz Nicholas , Duckworth Andrew D. , White Timothy O. , Amin Anish K. 
Published: April 2023

» There is a spectrum of midtarsal injuries, ranging from mild midfoot sprains to complex Lisfranc fracture-dislocations.» Use of appropriate imaging can reduce patient morbidity, by reducing the number of missed diagnoses and, conversely, avoiding overtreatment. Weight-bearing radiographs are of great value when investigating the so-called subtle Lisfranc injury.» Regardless of the operative strategy, anatomical reduction and stable fixation is a prerequisite for a satisfactory outcome in the management of displaced injuries.» Fixation device removal is less frequently reported after primary arthrodesis compared with open reduction and internal fixation based on 6 published meta-analyses. However, the indications for further surgery are often unclear, and the evidence of the included studies is of typically low quality. Further high-quality prospective randomized trials with robust cost-effectiveness analyses are required in this area.» We have proposed an investigation and treatment algorithm based on the current literature and clinical experience of our trauma center.
A causal role for the parietal cortex in ambiguity computations in humans
Authors: Valdebenito-Oyarzo Gabriela ,   María Paz Martínez-Molina1, Soto-Icaza Patricia , Zamorano Francisco , Figueroa-Vargas Alejandra , Larraín-Valenzuela Josefina , Stecher Ximena , Salinas César , Valero-Cabré Antonie , Polania Rafael , Billeke Pablo , Bustin Julian 
Published: April 2023

Abstract

Humans often face the challenge of making decisions between ambiguous options. The level of ambiguity in decision-making has been linked to activity in the parietal cortex, but its exact computational role remains elusive. To test the hypothesis that the parietal cortex plays a causal role in computing ambiguous probabilities, we conducted consecutive fMRI and TMS-EEG studies. We found that participants assigned unknown probabilities to objective probabilities, elevating the uncertainty of their decisions. Parietal cortex activity correlated with both the objective degree of ambiguity and a process that underestimates the uncertainty during decision-making. Conversely, the midcingulate cortex encodes prediction errors and increases its connectivity with the parietal cortex during outcome processing. Disruption of the parietal activity increased the uncertainty evaluation of the options, decreasing cingulate cortex oscillations during outcome evaluation. These results provide evidence for a causal role of the parietal cortex in computing uncertainty during ambiguous decisions made by humans.
Global dynamics of a non-smooth SIV system with uncertain effective vaccine protection rate
Authors: Wang Dongshu , Luo Shifan , Li Wenxiu 
Published: April 2023

Abstract
We analyze a class of SIV system considering effective vaccine protection and protective measures, in which the effective vaccine protection rate is represented by a piecewise-smooth function. This piecewise function is composed of three segments. When the number of infected people exceeds a set threshold, the effective vaccine protection rate is increased based on the first paragraph. To further increase the effective vaccine protection rate to 1, we should take into account not only the influence of the number of infected people, but also the diagonal dividing line of the interaction between the number of infected people and that of vaccinated people. We analyze the global dynamical behavior of the SIV system using the discontinuous differential equation theory, Filippov convex method and other methods, and the theoretical results could provide recommendations for vaccination. Then, in order to achieve the best vaccine protection effect, we analyze the selection of the threshold and the two values of the vaccination effective protection rate using numerical simulation.
A systematic review: On the mercaptoacid metabolites of acrylamide, N-Acetyl-S-(2- carbamoylethyl)-L-cysteine.
Authors: Zhao Fang-Fang , Wang Xiao-Li , Lei Ya-Ting , Li Hong-Qiu , Li Zhi-Ming , Hao Xiao-Xiao , Ma Wei-Wei , Wu Yong-Hui , Wang Sheng-Yuan 
Published: April 2023

Abstract
Acrylamide is widely found in various types of fried foods and cigarettes, and is not only neurotoxic and carcinogenic, but also has many potential toxic effects. The current assessment of acrylamide intake through dietary questionnaires is confounded by a variety of factors, which poses limitations to safety assessment. In this review, we focus on the levels of AAMA, the urinary metabolite of acrylamide in humans, and its association with other diseases, and discuss the current research gaps in AAMA and the future needs. We reviewed a total of 25 studies from eight countries. In the general population, urinary AAMA levels were higher in smokers than in nonsmokers, and higher in children than in adults; the highest levels of AAMA were found in the population from Spain compared with the general population from other countries. In addition, AAMA is associated with several diseases, especially cardiovascular system diseases. Therefore, AAMA, as a biomarker of internal human exposure, can reflect acrylamide intake in the short term, which is of great significance for tracing acrylamide-containing foods and setting the allowable intake of acrylamide in foods.
Comparison of the Efficacy and Safety of Antibiotic Treatment and Appendectomy for Acute Uncomplicated Appendicitis: A Systematic Review and Meta-analysis
Authors: Xu Hongxia , Yang Shaohui , Xing Jiankun , Wang Yan , Sun Weiqiang , Rong Lingyan , liu Huihui 
Published: April 2023

Abstract
Objective
This meta-analysis compared antibiotic treatment with appendectomy for uncomplicated appendicitis.
Methods
We searched Pubmed, EMBASE, Cochrane, Web of science, CNKI, VIP, and Wanfang for randomized controlled studies comparing appendectomy with antibiotic treatment for uncomplicated acute appendicitis. The primary outcome included complication-free treatment success at 1 year, complications, surgical complications, and the complicated appendicitis rates. Secondary outcomes included negative appendicitis, length of hospital stay, the quality of life at 1 month, and the impact of an appendicolith on antibiotic therapy.
Results
12 randomized controlled studies were included. Compared with surgery group, the antibiotic group decrease the complication-free treatment success at 1 year (RR 0.81; 95% CI 0.73–0.91; z = 3.65;p = 0.000). Statistically significance of the complications between antibiotic group and surgical group with both surgical types(open and laparoscopic) (RR 0.43; 95% CI 0.31–0.58; P = 0.000;z = 5.36), but no between the antibiotic treatment and laparoscopic surgery (RR 0.72; 95% CI 0.41–1.24; z = 1.19;P = 0.236).There was no statistically significant differences between two groups of surgical complications(RR 1.38; 95% CI 0.70–2.73; z = 0.93;p = 0.353), the complicated appendicitis rate(RR 0.71; 95% CI 0.36–1.42; z = 0.96;p = 0.338), negative appendicectomy rate(RR 1.11; 95% CI 0.69–1.79; z = 0.43; p = 0.670), duration of hospital stay(SMD 0.08;95%CI -0.11-0.27; z = 0.80; p = 0.422), and quality of life at 1 month (SMD 0.09; 95%CI -0.03-0.20; z = 1.53; p = 0.127). However, in the antibiotic treatment group, appendicolith rates were statistically higher in those whose symptoms did not improve (RR 2.94; 95% CI 1.28–6.74; z = 2.55;p = 0.011).
Conclusions
Although the cure rate of antibiotics is lower than surgery, antibiotic treatment is still a reasonable option for patients with uncomplicated acute appendicitis who do not want surgery without having to worry about complications or complicating the original illness.
Determination of Free Charge Carrier Luminescence and quasi-Fermi Level Separation in Organic Solar Cells via Transient Photoluminescence Measurements
Authors: List Mathias , Faisst Jared , Heinz Friedemann , Würfel Uli 
Published: April 2023

Abstract
The detection of photoluminescence (PL) is extremely useful as it provides direct information about the free charge carrier densities and the separation of the quasi-Fermi levels ΔEF. However, for organic solar cells the PL is strongly dominated by photogenerated excitons. To overcome this severe limitation, a new approach was developed which allows, to the best of our knowledge for the first time, disentangling the luminescence stemming from photogenerated excitons from the one originating from free charge carriers. Due to the large difference in the respective lifetimes – for photogenerated excitons it is ≤ ns whereas for free charge carriers it is in the µs-range – this is achieved by time-resolved PL measurements. It is found that ΔEF determined from these PL transients matches perfectly with the electrical voltage of the solar cells. Moreover, our new method also allows the determination of ΔEF from mere absorber films without electrodes.
Effects of biochar on enzyme activities during composting of cattle manure
Authors: Zhang Jiming , Li Xue , Qi Xinxin , Zhou Rongxin , Zhang Hongda , Liu Hang , du xiao , Sun Zhentao , Liu Ning , Yang Jinfeng 
Published: April 2023

Abstract
With the rapid growth of livestock, they produce more and more waste, causing severe environmental damage. Biochar as a composting additive has several advantages, including improved performance and humification processes, increased enzyme activity, and reduced nitrogen (N) losses. To investigate the effect of biochar addition on compost quality and enzyme activity, we composted cattle manure with different biochar measures (2%, 5%, and 10%) and different types (rice husk and rice straw) of biochar. The results showed that adding biochar to the aerobic compost of cow manure effectively accelerated the temperature rise of the compost, decreased the total carbon (C) content of the compost, and the total N content increased from the mesophilic phase to the decaying period. The C-to-N compost showed a decreasing trend. The 5% rice husk biochar and 2% rice straw biochar treatments more effectively reduced the N loss during composting and played a better role in N fixation. The addition of rice husk biochar more effectively increased the urease activities compared with the addition of rice straw biochar. Adding 5% rice husk biochar increased the peroxidase and polyphenol oxidase activities by 78% and 38%, respectively. Therefore, adding 5% rice husk biochar effectively improved compost quality and enzyme activities and reduced N loss in the aerobic composting process of cattle manure for optimal compost production.
Acceptability and Evaluation of APSIM-Qryza for Promoting Water and Nitrogen Productivity in Paddy Fields
Authors: Hosseinpour Shayan , Pirdashti Hemmatollah , Kaveh Mohammad , Dokoohaki Hamze 
Published: April 2023

Abstract
Aims
Crop models are designed to handle the various agronomic complexities that often arise from water and nutrient management in agroecosystems. In paddy fields, irrigation, and nitrogen (N) application are critical factors for achieving adequate yield, but unsuitable strategies can make the environment vulnerable.
Methods
we parametrized and validated the APSIM-Oryza model using two years experiment under various irrigation techniques (continuous flood (CF) and alternate wetting and drying (AWD) and nitrogen (N) application rates. In addition, two scenarios were run based on a decade of historical weather data.
Results
The model demonstrated a fit match in calculating aboveground biomass, leaf area index (LAI), and total N uptake over both years. The calculated grain yield from APSIM-Oryza was indicated to closely attach the measured data over parametrization (R2 = 0.92, RMSE = 203 kg ha− 1) and validation R2 = 0.89, RMSE = 308 kg ha− 1). Scenario analysis was recorded the lowest yield, fertilizer recoveries (RE), partial factor productivity (PFP), and agronomic efficiency (AE) was obtained with the basal N application, while the highest physiological efficiency (PE) was achieved. Simulation results showed that under both water management strategies, the highest yield, total N uptake, AE, RE, and partial PFP were observed with 69 (kg N ha− 1) at a split ratio of 5:5.
Conclusion
The suitable water and N management strategies are able to enhance crop productivity, reduce environmental degradation and increase the efficiency and profitability of food production by addressing water shortages and N loss in farming systems.
Development of personalized mobile information service platform of university library based on multi-core processor and cloud computing platform
Authors: Li Yingxin 
Published: April 2023

Abstract
In recent years, depending on information technology, knowledge and skills, university libraries have established a new "user centered" data service system, which is called personalized information service. Although this service has made some progress in recent years, these systems have only achieved a certain amount of personalized information services. Multi-core processor is the basic process unit of high-performance cloud computing node, which is an important basis to achieve system security, high performance, low power consumption and other high-performance requirements. Cloud computing node, as one of the core components in the high-performance computer system architecture, in addition to the acceleration node, master control unit, communication system, etc., its efficiency has constituted an important basic condition for the realization of the "high efficiency" goal of the system. The emergence of multi-core processors and cloud computing platforms has created conditions for the development of personalized mobile information service platforms in university libraries. Under the technical support of multi-core processors and cloud computing platforms, it is also an important goal of mobile libraries in the future to meet the needs of users to search library data information at any time and provide users with diversified data services. At present, the knowledge service platform of university library can not only actively select and recommend relevant materials for users according to their knowledge preferences, data utilization habits, and academic backgrounds, but also enable service users to quickly obtain the borrowing expiration prompt, independent consultation and retrieval and other personalized information functions, and carry out more in-depth personalized intelligent knowledge consulting services. Based on multi-core processor and cloud computing platform, this paper develops personalized mobile information service platform of university library.
Research on Internet Financial Risk Control Based on Deep Learning Algorithm
Authors: Wu Ziai , Zhou Qiao , Wang Lijuan , Zhao Di 
Published: April 2023

Abstract
With the rapid development of Internet technology, Internet finance has entered thousands of households, bringing a lot of convenience to people's lives. As a financial model based on Internet technology, compared with traditional bank loans, online loans have lower operating costs and faster returns, so they are developing rapidly. Providing users with better and faster services while standardizing operations has always been the development goal of various Internet finance companies. At present, many domestic Internet financial enterprises are facing many problems such as difficulty in risk control. Therefore, this paper makes full use of deep learning algorithms to build an Internet financial risk control system. After in-depth analysis and research on the deep learning algorithm, the Internet financial risk control system is divided into several modules. The project mainly includes: model management module, user behavior analysis module, alarm management module, monitoring module, product management module, etc., and then by analyzing the test results of each test scenario, it is concluded that the performance test of the system design meets the actual needs of users, and simulates the test. It is carried out in accordance with the constraints and regulations of the test plan, and the performance test meets the standard. The system not only ensures the safety of the company's funds, but also helps the company to form a smooth and effective financial risk control process. This paper designs a class of effective management systems by applying deep learning algorithms to the field of Internet financial risk control.
Diagnosis of Crohn's Disease and Ulcerative Colitis Using the Microbiome
Authors: Kang Da-Yeon , Park Jong-Lyul , Yeo Min-Kyung , Kang Sang-Bum , Kim Jin-Man , Kim Ju Seok , Kim Seon-Young 
Published: April 2023

Abstract
Background: Inflammatory bowel disease (IBD) is a multifactorial chronic inflammatory disease resulting from dysregulation of the mucosal immune response and gut microbiota. Crohn's disease (CD) and ulcerative colitis (UC) are difficult to distinguish, and differential diagnosis is essential for establishing a long-term treatment plan for patients. Furthermore, the abundance of mucosal bacteria is associated with disease severity. This study aimed to differentiate and diagnose these two diseases using the microbiome and identify specific biomarkers associated with disease activity.
Results: We observed differences in the abundance and composition of the microbiome between patients with IBD and healthy controls (HC). Compared to HC, the diversity of the gut microbiome in patients with IBD decreased; the diversity of the gut microbiome in patients with CD was significantly lower. We identified 68 members of the microbiota (28 for CD and 40 for UC) associated with these diseases. Additionally, as the disease progressed through different stages, the diversity of the bacteria decreased. The abundances of Alistipes shahii and Pseudodesulfovibrio aespoeensis were negatively correlated with the severity of CD, whereas the abundance of Polynucleobacter wianus was positively correlated. The severity of UC was negatively correlated with the abundance of A. shahii, Porphyromonas asaccharolytica and Akkermansia muciniphilla, while it was positively correlated with the abundance of Pantoea candidatus pantoea carbekii. A regularized logistic regression model was used for the differential diagnosis of the two diseases. The area under the curve(AUC) was used to examine the model performance. The model discriminated between UC and CD at an AUC of 0.886 (training set) and 0.826 (test set) and an area under the precision-recall curve (AUCPR) of 0.871 (test set).
Conclusions: Based on fecal whole-metagenome shotgun (WMS) sequencing, CD and UC were diagnosed using a machine-learning predictive model. Additionally, microbiome biomarkers associated with disease activity (UC and CD) have been proposed.