bluuebunny/crossref_metadata_2025_split huggingface dataset:
6 February 2023, Orthopedic experience in Kahramanmaras Earthquake and surgical decision in patients with crush syndrome
Authors: kundakci bugra , mirioglu akif , tekin mustafa , bagir melih , bicer omer sunkar , arslan yusuf kemal , ozkan cenk , ozbarlas hilmi serdar 
Published: June 2023

Abstract
Background:
The decision of fasciotomy or amputation in crush syndrome is controversial and challenging for surgeons. We aimed to share our experiences after the Kahramanmaraş Earthquake, to predict the severity of crush syndrome and mortality, and to guide the surgical decision.
Methods:
The clinical data of patients during their first week of hospitalization were analyzed retrospectively. Totally 233 crush syndrome patients were included. Demographic data, physical and laboratory findings, surgical treatments, and outcomes were recorded.
Results:
The mean time under the rubble was 41.89±29.75 hours. Fasciotomy and amputation were performed in 41 (17.6 %) and 72 (30.9%) patients. One hundred and two patients (56.7%) underwent hemodialysis. Fifteen patients (6.4%) died. Lower extremity injury, abdominal trauma, and thoracic trauma were associated with mortality. Mortality was significantly increased in patients with thigh injuries (p=0.028). The mean peak CK concentration was 69.817,69 ± 134.812,04 U/L. Peak CK concentration increased substantially with amputation (p=0,002), lower limb injury (p<0.001), abdominal trauma (p=0.011), and thoracic trauma (p=0.048).
Conclusions:
Thigh injury is associated with the severity of crush syndrome and mortality. Late fasciotomy should not be preferred in crush syndrome. Amputation is life-saving, especially in desperate lower extremity injuries.
Dual-function Covalent Organic Polymers Rich in N, O, S Heteroatoms for Sensitive Detection and Efficient Capture of Mercury (II)
Authors: Zhu Ye , Ni Cailing , Zhang Chao , Liu Zhimin , Wu Guanghui , Qin Yuancheng 
Published: June 2023

Abstract
As a serious threat to environmental safety and public health, mercury ((Hg2+) has been noted as a global hazard because of its high toxicity. Recently, significant effort has been invested in developing novel strategies for simultaneous detection and remove of Hg2+. Herein, we designed and synthesized three types of nitrogen-, oxygen- and sulfur-rich covalent organic polymers (COPs) for Hg2+ detection and adsorption from solutions. For comparison, the aldehydes building blocks containing one, two, or three thiophene rings condensed with the flexible hydrazide terephthalate to obtain the COPs named as HTDP-1, HTDP-2 and HTDP-3, respectively. With electron rich thiophene-bicyclic systems, the HTDP-2 exhibited a fast adsorption capacity for Hg2+ (91.2% within 10 min). In addition, the polymer also has excellent fluorescence properties, which can realize the fluorescence detection of Hg2+ in a with a detection limit of 0.70 ppm. This work provides a novel design concept for the rational construction of dual-function Hg2+ repair materials and broadens the application of COPs materials in the field of heavy metal ions detection and repair.
A Novel Deep RCNN-DCLSTM Classifier for Finding the Quality of Web-Page Based On Review Dataset
Authors: Srivast Atul Kumar , Pandey Dhiraj , Agarwal Alok 
Published: June 2023

Abstract

Nowadays, internet has numerous of web contents but it is difficult to find the web page quality. For predicting the quality of web page, a technique is necessary. Therefore, for determining the quality of the web page, a novel Residual Convolutional Neural network and Drop Connect Long Short Term Memory (RCNN-DCLSTM) technique is proposed. It consists of two stages: pre-processing and classification. In the preprocessing stage, tokenization, identification of slang, stop word removal, and lemmatization processes improve the level of accuracy during classification. In the classification stage, the proposed deep learning classifier based on RCNN-DCLSTM is used to classify the quality of web page as very high quality, high quality, moderate quality, low quality, and very low quality based on reviews. Here, the Drop connect regulation system on hidden-to-hidden weight metrics with LSTM is used to avoid the fitting problem. The proposed RCNN-DCLSTM accuracy is tested on four data sets and compared with previous methods. Based on the estimation result, the proposed RCNN-DCLSTM gives the accuracy of 0.91, precision of 0.909, recall of 0.908, and F-1 measure of 0.91. Hence, it is proved that the proposed RCNN-DCLSTM technique accurately finds the quality of web page.
Comparison of amoxicillin administered twice and three times daily in children with acute otitis media
Authors: Storch-De-Gracia Pilar , Antoñanzas-Bernar Valeria , Vergara-Muñoz Beatriz , Lamagrande-Casanova Nuria , Campli-Zaghlul Mariana , Suárez-Bustamante María , Añón-Hidalgo Juan , Maiques Miguel 
Published: June 2023

Abstract
Purpose
To compare the effectiveness of amoxicillin administered in regimens of two or three daily doses in children with acute otitis media (AOM). As a secondary aim, we measured and compared treatment adherence between the two groups.
Methods
A prospective observational study was conducted in the emergency department of a children’s hospital.
Results
We recruited a total of 353 patients having a median age of 1.58 years. Twice-daily dosing was prescribed to 58%, while 42% received three doses per day. The clinical course of AOM was favourable in 92% of the patients who received two doses of amoxicillin and in 95% of those who received three doses (P = 0.25). Four patients (1%) had persistent symptoms beyond day seven. None developed intracranial complications. In the group receiving three doses daily, 31% reported difficulties with the dosing schedule, and 9.6% faced challenges when administering the medication at the specified volume, compared with 5.8% and 25% of those who received the two-dose regimen, respectively.
Conclusion
Twice-daily amoxicillin has similar efficacy to a three-dose daily regimen and can offer advantages for caregivers in terms of administration schedule.
A novel targeted immunotherapy for autoreactive B cell depletion in autoimmune diseases
Authors: Perico Luca , Casiraghi Federica , Sônego Fabiane , Todeschini Marta , Corna Daniela , Cerullo Domenico , Pezzotta Anna , Isnard-Petit Patricia , Faravelli Silvia , Forneris Federico , Thiam Kader , Remuzzi Giuseppe , Benigni Ariela 
Published: June 2023

Abstract
Targeted therapies for autoimmune diseases are an unmet clinical need. Here, we designed and tested a novel class of immunotherapeutic molecules, Bi-specific AutoAntigen-T cell Engagers (BiAATEs), intended for autoreactive B cell depletion in autoimmune diseases for which the autoantigen has been identified. Specifically, we focused on a prototype autoimmune disease, membranous nephropathy (MN), an immune-mediated disease of the kidney in which phospholipase A2 receptor (PLA2R) serves as primary nephritogenic antigen. We designed a BiAATE expressing the immunodominant Cysteine-Rich (CysR) domain of PLA2R linked to an antibody against the T cell antigen CD3. The BiAATE created an immunological synapse between autoreactive B cells bearing a CysR-specific surface Ig+ and T cells isolated form MN patients, leading to anti-PLA2R antibody secreting B cell depletion while sparing normal B cells. Systemic administration of BiAATE to mice transgenic for human CD3 reduced anti-PLA2R antibody levels following active immunization with PLA2R. These findings indicate that BiAATEs have the potential to initiate a new avenue for the development of off-the-shelf therapies in autoimmune diseases.
Thylakoid-Inspired Microreactors Continuously Synthesize CO2 into Glucose Precursor at 15.8 nmol min-1
Authors: Zhu Yujiao , Xie Fengjia , Wun Chung Kit , Lin Huan , Tsoi Chi Chung , Jia Huaping , Chai Yao , Lo Ben , Leu Shao-Yuan , Jia Yanwei , Ren Kangning , Zhang Xuming 
Published: June 2023

Abstract
Excessive CO2 and food shortage are two grand challenges of human society. Directly converting CO2 into food materials could simultaneously alleviate both, like what green crops do in nature. Nevertheless, natural photosynthesis has a limited energy efficiency due to low activity and specificity of key enzyme D-ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO). To enhance the efficiency, many prior studies focused on engineering the enzymes, but we chose to learn from nature to design more efficient reactors. This work is original in mimicking the stacked structure of thylakoids in chloroplasts to immobilize RuBisCO in a microreactor using the layer-by-layer strategy, obtaining the continuous conversion of CO2 into glucose precursor at 1.9 nmol min-1 with enhanced activity (1.5 times), stability (~8 times) and reusability (96% after 10 reuses) relative to the free RuBisCO. We further scaled out the reactors to explore the potential of mass production that would benefit both food supply and carbon neutralization.
Understanding the mix of services for mental health care in urban DR Congo: A qualitative descriptive study
Authors: Mayoyo Erick Mukala , Criel Bart , Sow Abdoulaye , Coppieters Yves , Chenge Faustin 
Published: June 2023

Abstract
Background: Mental health workers (MHWs) may be exposed to conflicts of competencies in performing tasks related to mental health care provision. This may be linked to a lack of understanding of their tasks as caregivers and providers. Furthermore, in most low-income settings, it is unclear how the available services are organized and coordinated to provide mental health care. To understand the above, this study aimed to identify the current mix of services for mental health care in urban Democratic Republic of the Congo (DRC).
Methods: A qualitative descriptive study was carried out in the city of Lubumbashi from February to April 2021. We conducted 7 focus group discussions (FGDs) with 74 key informants (family members, primary care physicians, etc.) and 13 in-depth interviews (IDIs) with key informants (traditional healers, psychiatrists, etc.). We performed a qualitative content analysis, guided by an analytical framework, that led to the development of a comprehensive inventory of MHWs from the household level to specialized facilities, exploring their tasks in care delivery, identifying existing services, and defining their current organization.
Results: Analysis of transcripts from the FGDs and IDIs showed that traditional healers and family caregivers are the main providers in Lubumbashi. The exploration of the tasks performed by MHWs revealed that lifestyle, traditional therapies, psychotherapy and medication are the main types of care offered/advised to patients. Active informal caregivers do not currently provide care corresponding to their competencies. The rare mental health specialists available do not presently recognize the tasks of primary care providers and informal caregivers in care delivery, and their contribution is considered marginal. We identified five types of services: informal services, traditional therapy services, social services, primary care services, and psychiatric facilities. Analyses pointed out an inversion of the ideal mix of these services.
Conclusions: Our findings show a suboptimal mix of services for mental health and point to a clear lack of collaboration between MHWs. There is an urgent need to clearly define the tasks of MHWs, build the capacity of nonspecialists, shift mental health-related tasks to them and raise awareness about collaborative care approaches.
CA-125 level as a prognostic factor for response in medical treatment of fallopian ectopic pregnancy
Authors: Jayervand Fatemeh , Mohamadianamiri Mahdiss , larijani Samaneh Saghafian , Kazerooni Mitra 
Published: June 2023

Abstract
Background
Ectopic pregnancies (EP) are a complication of pregnancy in which an ectopic pregnancy sac form. EP can be associated with rupture / hemodynamic instability / hemorrhagic shock and eventual death. Recent studies have shown that the use of markers such as CA-125 can be very accurate in predicting the clinical course of these patients. The present study was designed to measure the accuracy of CA-125 in the diagnostic and therapeutic evaluation of this group of patients and to investigate the relationship of this marker with the occurrence of some EP complications such as rupture in patients undergoing medical treatment.
Patients and Methods‎:
In this prospective cohort study, all patients with EP candidates for medical treatment with methotrexate entered the study after obtaining informed consent. On days 1, 4 and 7, βhCG and CA-125 markers were measured in patients. Patients were monitored for EP complications leading to surgery as well as response to single-dose drug therapy and βhCG titer. The course of CA-125 levels in the blood and its relationship with the incidence of complications and βhCG levels were also examined.
Result
100 patients with a mean age of 6.1 ± 29.8years were included in the study. 22 patients (22%) required a second dose of methotrexate and 30 patients (30%) required surgical intervention. The result of single-dose treatment was successful in 48% of patients, but 52% failed treatment, including surgery and the second dose of methotrexate. Statistical analysis showed that CA125 levels were higher on days four and seven in patients who needed the next dose of MTX (P < 0.001). CA-125 levels were higher in patients who underwent surgery, which was also statistically significant on day 1 (P < 0.001). The mean level of CA-125 on all days was significantly higher in patients who failed treatment (P < 0.001).
Conclusion
It can be concluded that by performing serial CA-125 in tubal pregnancy, it is possible to understand the possibility of rupture of the pregnancy sac and the need for surgical intervention or administration of a second dose of MTX.
WT-BiFPN: A Novel Approach for Efficient Face Detection using Improved EfficientDet Architecture and Dual-Tree Complex Wavelet Transform
Authors: Pouyan Shima , Charmi Mostafa , Azarpeyvand Ali , Hassanpoor Hossein 
Published: June 2023

Abstract
Face detection is a crucial task in computer vision and image processing with various practical applications including security, surveillance and entertainment. In recent years, approaches based on deep learning methods improved significantly with high-accuracy detection results. In this paper, we propose a new framework for anefficient face detection based on improved EfficientDet architecture and wavelet transform. Our method utilizes a combination of innovated bi-directional feature pyramid network (BiFPN) and a dual-tree complex wavelet transform called WT-BiFPN to ameliorate feature representation of faces at multiple scales. We evaluate our approach on two benchmark datasets, including WIDER FACE and our gathered dataset with specific details close to real-world images. Our proposed architecture achieves more than 5% performance improvement on previous state-of-the-art EfficientDet-based methods in terms of mean average precision (mAP). Our method provides an effective accurate face detection solution for several applications and can prevail over low resolution and occlusion in images.
Evaluation of dry milling characteristics and polyphenolic contents of fourteen conventionally bred colored corn varieties for value-added coproducts recovery
Authors: Kumar Ravinder , Agliata Joseph , Wan Caixia , Flint-Garcia Sherry , Salazar-Vidal Miriam Nancy , Mustapha Azlin , Cheng Jiayue , Somavat Pavel 
Published: June 2023

Abstract

Corn pericarp is a low value cellulosic coproduct. However, colored corn pericarp contains disproportionately higher amounts of polyphenolic compounds such as anthocyanins, flavonoids, flavonols, tannins and phenolic acids, and can be selectively utilized for their economic recovery. Due to the diverse industrial applications of these value-added phytochemicals, colored corn can supplement the lower economic value of conventional yellow dent corn. In this study, dry milling characteristics and polyphenolic contents (anthocyanins, total phenols, and condensed tannins) of fourteen conventionally bred and midwestern US grown colored varieties and their milling coproducts were ascertained and compared with a commercial purple corn. With mean large grits yield of 22.98% (db), colored varieties had a dominant softer endosperm, suitable for wet milling and dry grind industry. The mean starch content of colored varieties was lower than conventional yellow dent corn (~9.91%, db), and the mean protein content was higher (~1.70%, db). Although purple corn contained the highest amounts, four experimental varieties had high concentrations of polyphenols. Through HPLC analyses, a diverse mix of various anthocyanin forms, phenolic acids, and flavonoids were identified. The antioxidant potential of polyphenolic extracts from five varieties were evaluated using four different assays, and significant antioxidant activities were observed. Histological analysis was conducted on polyphenol-rich varieties, and most of the pigments were found to be concentrated in pericarp. The pericarp thickness was greatest for the variety containing the maximum polyphenolic compounds. Adapted colored corn varieties can be valorised to recover value-added polyphenolic compounds in line with the circular bioeconomic paradigm.
Empowering Efficient Human Pose Estimation with Semantic Splitting
Authors: Patel Harsh A. , Patel Dhaval K. , Shah Kashish D. , Saikia Manob Jyoti , Ranger Bryan J. 
Published: June 2023

Abstract
For real-world applications of human pose estimation (HPE), high efficiency and accuracy are essential.To achieve high accuracy, many state-of-the-art methods employ deep neural networks. However, these approachesoften utilize complex architectures, and performance may be compromised due to high levels of computationalcomplexity. To address this limitation, we propose a novel semantic splitting-based approach that aims to find amore optimal balance between accuracy and computational cost. We incorporate our approach into two existingbenchmarks: the stacked hourglass network, and the simple baseline network. Individual modules within ourproposed network estimate key points for particular body regions such as the upper body and lower body, leg, andhand. The hierarchical splitting of the network is based on different semantic features at each network stage. Thenetwork with this type of splitting needs fewer parameters to accomplish the HPE task, reducing the computationalcomplexity. We evaluated our proposed networks using two benchmark data sets: the MPII human pose data setand the 2017 Microsoft COCO key-point data set. Results demonstrate similar accuracy and a significant reductionin the number of network parameters compared to other state-of-the-art models. Our network is a lightweight andefficient approach for HPE that maintains a high accuracy at decreased computational cost, and has the potentialto be applied to other applications that use deep neural networks.
Study on the Efficiency Improvement, Photocatalytic Kinetics and Mechanism of Trace GO on TiO2 for Removing Cr(VI) under Visible Light Conditions
Authors: Wu Yinwei , Du Xu , Pan Jingyuan , Zhou Qiaoyun , Zhang Jinghong , Li Ming , Fu Dong 
Published: June 2023

Abstract
This work focuses on the enhancement of removal performance of titanium dioxide (TiO2) by the introduction of trace amout of graphene oxide (GO) composite. It was found that the GO-doped material had the highest performance in the improvement for Cr (VI) treatment after being compounded into TiO2 among various synthesis methods. The removal rate of hexavalent chromium by TiO2-GO(0.05%) was 95.96% which is 13.58% higher than that of TiO2. It can be confirmed that GO was successfully doped on TiO2 by XRD, XPS, and FT-IR characterizations. In addition, SEM, TEM, N2 adsorption isotherm, UV-Vis spectra, and photocurrent response elucidate the mechanism of potency enhancement. The addition of trace GO reduces the particle size of TiO2 and results in the agglomeration phenomenon of TiO2, so that the specific surface area of TiO2 becomes larger and the distribution is more uniform, which expands the photoresponse range, and elevating the photoelectron response, thus, the absorption ability of visible light is greatly improved. The reported method provides a more economical option for treating Cr(VI) wastewater.
The analysis of the genotype of Sapovirus outbreaks in Zhejiang Province
Authors: Su Lingxuan , Mao Haiyan , Sun Yi , Yan Hao , Ge Qiong , Zhang Yanjun , Gong Liming 
Published: June 2023

Abstract
Background
Sapovirus is an important causative agent of acute gastroenteritis in children. In addition, there are only a few reports on the genotype of Sapovirus in Zhejiang Province. Therefore, we analysed the genotypes of Sapovirus from seven outbreaks in the Zhejiang Province.
Methods
A total of 105 faecal samples from seven outbreaks of Sapovirus were collected from the Zhejiang Provincial Central for Disease Control and Prevention. The genotype was analysed using RT-PCR to perform Sanger sequencing, and next-generation sequencing was used to obtain a complete genome to analyse the amino acid mutations of the VP1 protein.
Results
According to the results, we found that there were four genotypes (GI.6, GI.1, GI.2, and GII.5) that were detected, with the higher detection rate of GI.6. Most patients were > 5 years old. Seven outbreaks often occurred in primary school and during the cold season. In addition, based on the alignment outcomes of whole sequences and the amino acid sequence of VP1, strain GI.6 induced outbreaks showed high homology. There were some substitutions in VP1.
Conclusion
There were diversity in genotypes of Sapovirus in seven outbreaks. And GI.6 might be the main genotype responsible for the Sapovirus outbreak in Zhejiang Province in 2022 with high homology, which might provide a reference for SaV prevention and control.
The effect of metformin on the efficacy and survival of patients with diabetes and prostate cancer: a meta-analysis
Authors: Li GuangZhi , Zhang Dongmei , Ni Jie , Wang Shizhen , Liu Xiang 
Published: June 2023

Abstract
Background
Current epidemiological data show that diabetes, especially type 2 diabetes, is considered to be a complicated factor in the prevalence and prognosis of prostate cancer.
Methods
The computer retrieves four databases to obtain controlled trials at home and abroad on the efficacy and prognostic effect of metformin in patients with diabetes and prostate cancer. After a rigorous literature quality evaluation, we utilized the RevMan 5.3 software for analyzing the data.
Results
We included the 8 studies for this comprehensive meta-analysis. These studies were considered to be controlled or array trials. For comparing the test group and the control group, we collected the data recurrence rate from the 5 studies. We revealed that the 5-year recurrence rate was not statistically different (OR: 0.92; 95% Cl: 0.67,1.28; P = 0.631). Similarly, we found the 10-year recurrence rate (OR:0.81; 95% Cl: 0.25,2.58; P = 0.715), 5-year mortality rate (OR:0.66; 95% Cl: 0.14,3.11; P = 0.597), and 10-year mortality rate (OR: 0.44; 95% Cl: 0.26,0.74; P < 0.01). Although we found the asymmetrically distributed effective rate in the funnel plot analysis, publish bias was not potentially found in Egger’s test (P = 0.958).
Conclusion
This meta-analysis demonstrated that metformin is not potentially effective in patients with diabetes and prostate cancer, as evidenced by the 5-year recurrence rate, 10-year recurrence rate, 5-year mortality, and 10-year mortality, and the above conclusions need to be verified by more high-quality research.