bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of Sodium alginate/PVA based erasable film with a wide-range adjustable information storage time
Authors: Chen Qi , Zuo Wenjing , Xie Zhen , Liu Wenjing , Lu Miaomiao , Qiu Xingheng , Habib Sania , Jing Yidan , Zhang Xiaomin , Yu Ningya , Su Shengpei , Zhu Jin 
Published: January 2023

Abstract
Paper manufacturing is frequently associated with severe environmental pollution. The light-responsive rewritable paper has become one of the important research directions to replace traditional paper because of its excellent non-contact writing and pollution-free characteristics. However, the reported information storage time of photoetching paper is short, making application control on various occasions difficult. In this study, ammonium molybdate was used as a photochromic agent in SA/PVA composite films. This film's printing effect and mechanical properties are equivalent to those of current paper, and the clear boundary can still be seen at a magnification of 20 times. Within 50 days, the film can still show visible color with no loss of resolution. Meanwhile, the film can be efficiently decolorized in an aqueous solution using the water-soluble properties of SA and PVA, and then regenerated by simply laying the film. The film quality and resolution did not degrade after ten cycles of "information writing-dissolution erasing-regeneration writing" demonstrating excellent recycling performance. As a result, this study not only achieves long-term storage of the film's information, but also employs a simple and environmentally friendly recycling process to adjust its storage time, thereby providing a new method for the design of photoetching paper.
Is basal membrane/tubular diameter ratio a histologic predictor of germ cell presence in transgender women?
Authors: Marins Lina Rigodanzo , Rosito Tiago Elias , Kliemann Lucia Maria , Capp Edison , Corleta Helena von Eye 
Published: January 2023

Abstract

Purpose
Evaluate histological changes in testicular parameters after hormone treatment in transgender women.
Materials and Methods
Cross-section study with 86 patients who underwent gonadectomy. Hormone treatment type, route of administration, age at initiation and duration were recorded. Atrophy parameters were observed: testicular volume, tubular diameter, basal membrane length, presence of spermatogonia and spermatids (diploid and haploid spermatozoid precursors).
Results
Duration of hormone treatment determines testicular atrophy and spermatogenesis arrest. Other characteristics of hormone treatment such as age of initiation, route of administration and type of treatment were not associated with testicular histological changes. Testicular volume may predict spermatogenesis arrest. Basal membrane length and tubular diameter ratio is an interesting predictor of germ cell presence.
Conclusion
Basal membrane length and tubular diameter ratio reduces inter variability of measurements and better exemplify how atrophic seminiferous tubules are. Fertility preservation should be addressed by healthcare providers in order to recognize gender affirming treatment impact on transgender health.
Early surgical treatment using regional clinical pathways reduces the length of postoperative hospitalization in hip fracture patients: A retrospective analysis using the Japanese Diagnosis Procedure Combination database
Authors: Nishimura Haruki , Suzuki Hitoshi , Tokutsu Kei , Muramatsu Keiji , Kawasaki Makoto , Yamanaka Yoshiaki , Uchida Soshi , Nakamura Eiichiro , Fushimi Kiyohide , Matsuda Shinya , Sakai Akinori 
Published: January 2023

Abstract
Background: Hip fracture is a common injury in older people, especially those with weak bone contracture such as in osteoporosis. Although early surgical treatment is recommended, the optimal timing has not yet been determined in Japan. Therefore, we ascertained the rate of early surgery among hip fracture patients and investigated its effectiveness, along with regional clinical pathways, in reducing the length of postoperative hospital stay among patients with hip fractures. We used the Japanese Diagnosis Procedure Combination (DPC) database to obtain data for this study.
Methods: We used data of patients diagnosed with femoral neck and peritrochanteric fractures retrieved from the Japanese DPC database between April 2016 and March 2018. Patients were divided into the early surgery (43,928 [34%] patients who underwent surgery within two days of admission) and delayed surgery groups (84,237 [66%] patients who underwent surgery after two days of admission).
Results: The difference between the length of stay (LOS) in the hospital for both groups was two days (early vs. delayed: 21 days vs. 23 days). The early surgery group had more cases of intertrochanteric fractures (57% vs. 43%) and internal fixation (74% vs. 55%) than the delayed surgery group. In contrast, the delayed surgery group had more cases of femoral neck fractures (43% vs. 57%) and bipolar hip arthroplasty (25% vs. 42%) or total hip arthroplasty (1.2% vs. 3.0%). Moreover, the early surgery group showed a lower incidence of complications, except anaemia (12 % vs. 8.8%), than the delayed surgery group. Logistic regression analysis using the adjusted model showed that early surgery and implementation of regional clinical pathways reduced LOS by 2.58 and 8.06 days, respectively (p < 0.001).
Conclusions: Early surgery was performed in a third of all hip fracture patients. Early surgery and implementation of regional clinical pathways for hip fracture patients are effective in reducing postoperative hospital LOS, with regional clinical pathways having a greater impact. These findings will help acute care providers when treating patients with hip fractures.
Extraction and Chemical identification of certain antifungal compounds from the pigmented fungus Epicoccum nigrum against phytopathogenic fungus Fusarium solani
Authors: Ali Sally A. , Abdelmoaty Hazem S. , Ramadan Hend H. , Salman Yomna B. 
Published: January 2023

Abstract
Epicocum nigrum strain AUMC 15771 was isolated from E.miliileaves, as well as four endophytic fungi were isolated from E.hirtaleaves which were collected from Helwan University garden. On the basis of antifungal activities of the five isolated endophytic fungi against phytopathogenic F.solani.
Epicocum nigrum achieved a strong inhibition percent (94%). Ethyl acetate extracts of the cultural filtrates were active against F. solanicompared to the control and other extracts (Dichlorometane, Chloroform:Methanol (2:1). Both Light microscopy and Scanning electron microscopy showed that higher concentrations of Ethyl acetate extract caused a change in hyphal aggregation and spore′s formation of F.solani. Furthermore, higher concentrations of Ethyl acetate extracts of E.nigrum had a slight phytotoxic effect on Faba been (Vicia Faba.L) germination and root length compared to lower Ethyl acetate extract concentrations. Identification of antifungal agents in Ethyl acetate extract using GC-MS analysis revealed the presence of 2, 2, 3, 3, 4, 4-Hexadeutero Octadecanal, 2, 2-Dideutero Octadecanal, and Isochiapin B as major components that could be have antifungal and antimicrobial substances. These results offer a viable and sustainable alternative to using E.nigrum extracts for controlling phytopathogenic F.solani.
Direct-Mapping Cross-Interfaces Computed Tomography
Authors: Gong Bugao , Ling Chen , Wu Yue 
Published: January 2023

Abstract
This work reports an optimized tomography method, termed Direct-Mapping Cross-Interfaces Computed Tomography (DMCICT), with enhanced calculation efficiency and accuracy for three-dimensional (3D) reconstruction in confined space. Confined-space tomography methods are designed to correct the image distortion on recorded target images caused by light refraction through optical walls, such as optical engine cylinders. However, past confined-space tomography methods have shortcomings in reconstruction accuracy and time efficiency, since they usually involve time-consuming iterations or numerical interpolation during calculating the mapping relationship from 3D measurement domain to 2D imaging planes. There, DMCICT is developed in this work to directly calculating the mapping relationship by performing reverse ray-tracings originated from imaging planes, then decide the intersection volumes with discretized measurement domain. Numerical and experimental validations of DMCICT are respectively performed based on multiple simulated phantoms and a two-branch laminar flame contained inside an optical cylinder. Compared to past confined-space reconstructions, DMCICT can reduce more than 50% of the computational time in majority of tested cases, while the reconstruction accuracy is also significantly enhanced. Moreover, DMCICT demonstrates the robustness under different spatial resolution conditions and presents solid endurance on measurement errors.
Psychoneurological symptoms and inflammatory markers in patients with glioma in China: a network analysis
Authors: Li Huayu , Shi Xiaohan , Li Jing , Zhang Xinrui , Li Feng 
Published: January 2023

Abstract
Purpose Anxiety, depression, sleep disorder, fatigue, and pain develop as common psychoneurological symptoms in patients with glioma, and their occurrence and development are potentially related to inflammatory factors. However, this theory has not been proven within the context of glioma. This study aimed to estimate interconnections among psychoneurological symptoms and inflammatory biomarkers by a network analysis.
Patients and methods We selected 203 patients with stage Ⅰ-Ⅳ glioma from a tertiary A hospital in China using convenient sampling method. Patients completed the self-made questionnaires, Hamilton anxiety scale-14 (HAMA-14), Hamilton Depression Scale-24 (HAMD-24), Pittsburgh Sleep Quality Index (PSQI), Multidimensional Fatigue Inventory-20 (MFI-20), and Numerical Rating Scale (NRS). The plasma inflammatory cytokines were examined. Partial correlation network analysis was performed to illustrate interactions of symptoms and inflammatory biomarkers.
Results Among the 203 included patients, all psychoneurological symptoms, except for depression and pain, exhibited significant connections with each other. Depression, anxiety, fatigue, interleukin-6 (IL-6), and tumor necrosis factor-alpha (TNF-α) with higher strength centrality indices were identified as the most central node within the symptom-biomarker networks.
Conclusion Depression, anxiety, fatigue, IL-6, and TNF-α play a significant role in the symptom-biomarker network in patients with glioma. Medical staff should strengthen the dynamic evaluation of the involved symptoms and inflammatory cytokines, and take effective measures to alleviate the burden of symptoms and improve the quality of life of patients.
Examination of gametocyte protein 22 localization and oocyst wall formation in Eimeria necatrix using laser confocal microscopy and scanning electron microscopy
Authors: Wang Lele , Liu Dandan , Gao Yang , Hou Zhaofeng , Zhu Yu , Wang Feiyan , Li Wenjing , Zhang Amin , Xu Jinjun , Hu Junjie , Tao Jianping 
Published: January 2023

Abstract
Background
Eimeria parasite infection occurs via ingestion of oocysts. The robust, bilayered oocyst wall is formed from the contents of wall forming bodies (WFBs), WFB1 and WFB2, located exclusively in macrogametocytes. Eimeria necatrix gametocyte proteins 22 and 59 (EnGAM22 and EnGAM59) have been found to localize to WFBs and the oocyst wall. However, the exact localization of these two proteins is not clear. The mechanisms of macrogametogenesis and oocyst wall formation in E. necatrix are also unknown.
Methods
WFBs of E. necatrix were extracted from purified gametocytes using a cut-off filter and observed by negative stain electron microscopy to assess the intactness of the WFBs. The extracts of purified WFBs and gametocytes were analyzed using sodium dodecyl sulphate-polyacrylamide gel electrophoresis (SDS-PAGE) and immunoblotting. Then, the localization of EnGAM22 and EnGAM59 proteins was determined using an indirect immunofluorescence assay. Finally, the development of macrogametocytes and the oocyst wall of E. necatrix was analyzed using laser confocal microscopy and scanning electron microscopy.
Results
Purified WFBs had the same shape and size as those observed in macrogametocytes. EnGAM22 protein localized to WFB1, whereas EnGAM59 protein localized to WFB2. Both EnGAM22 and EnGAM59 native proteins were detected in the extracts of WFBs and gametocytes. The outer layer of the oocyst wall was formed by the release of the contents of WFB1 at the surface of the macrogametocyte to form an anti-EnGAM22 positive layer. WFB2 then appeared to give rise to the inner layer, which was anti-EnGAM59 positive.
Conclusions
EnGAM22 and EnGAM59 proteins localized to WFB1 and WFB2 and were involved in the formation of the outer and inner layers of the oocyst wall of E. necatrix, respectively. The processes of macrogametogenesis and oocyst wall formation of E. necatrix are similar to other Eimeria parasites. The anti-EnGAM22 antibody could be used as a tool to track the transport and secretion of proteins in WFB1 during oocyst development.
High efficiency lossless image recompression algorithm with asymmetric numeral systems for real-time mobile application
Authors: Sheng Qinghua , Zhu Haonan , Sheng Haixiang , Huang Xiaofang , Jiang Jie , Lai Changcai 
Published: January 2023

Abstract
JPEG images are widely used by individual users, data centers, cloud storages and network file systems. The huge transmission and storage bandwidth of existing JPEG images is becoming a big challenge due to its low compression efficiency. Some methods such as Google’s Brunsli can further compress these JPEG images adequately and restore them back to JPEG format losslessly when needed, but its decoding speed is not fast enough especially for real-time mobile applications. To further reduce its decoding complexity, we proposed three optimizations based on Brunsli, which include using asymmetric numeral systems coding to replace the existing arithmetic coding, designing the joint encoding of multiple symbols and cache-friendly optimizing the data structures. Experimental results demonstrate that compared with Brunsli, the proposed method achieves average 2 to 2.4 times decoding faster on mobile platform with comparable compression efficiency which is really valuable for power sensitive real-time mobile applications.
WITHDRAWN: FPGA Based Architecture for Quantum Communication System
Authors: BASIL NOORULDEN 
Published: January 2023

Abstract

This paper presents the equipment and programming design that can be utilized in these frameworks which carries out pragmatic quantum key conveyance (QKD) and quantum arbitrary number age (QRNG). Plans This engineering makes the most of the capacities of the framework on a chip (SoC) that executes Programmable door cluster (FPGA) and double center CPU. Relegating time-bound errands For FPGA and CPU the executives, we have made an adaptable framework with ideal asset designation. A business off-the-rack (COTS) assessment board that incorporates the SoC. Likewise with a change For information stream, the general framework design can be utilized as QKD transmitter, QKD collector. what's more, the control and acknowledgment unit QRNG. At last, we utilized double center execution and saw the synchronization QKD carries out equipment streams to execute stream dispatchers where the bit is continually getting new information. One runs at a decent rate from an outside QRNG source and different sudden spikes in demand for a FPGA Communicating a qubit to a QKD collector. The framework was effectively tried during a long exhibit Its strength and security. This confirmation prepares for a safer execution of QKD. Since QKD states are produced by a totally evident stochastic interaction with genuine outright security Not with explicit augmentation components. At last, it permits us to see a singular amount The transmitter incorporates arbitrary numbers and qubit age.
The Effects of Combination Treatment T4 and T3 on Diastolic Functions and Atrial Conduction Time in Women with Low T3: A short term Follow-up Study
Authors: Büber İpek , Eraydın Ayten , Sevgican Cihan İlyas , Tekin Işık , Kılıç İsmail Doğu , Fenkçi Semin Melahat 
Published: January 2023

Abstract
Purpose
To investigate the effects of combination thyroid replacement treatment on left atrial volume (LAV), diastolic functions, and atrial electromechanical delays in women with low triiodothyronine (T3) levels.
Methods
The study consisted of forty-seven female patients with primer hypothyroidism. The patients who had low T3 levels, despite using tetraiodothyronine (T4) treatment for a while with normal thyrotropin (TSH) and T4 levels with levothyroxine (LT4) treatment and started combination therapy were included in the study. Biochemical samples (TSH, free T4, free T3) were taken, and an echocardiographic assessment was performed for patients at first admission and after approximately six months of receiving T3 (12.5 mcg) treatment.
Results
There was a statistically significant reduction at left ventricle (LV) end-systolic diameter (27.69 ± 3.14, 27.13 ± 2.89, 0.035), left atrial (LA) maximum volume (14.73 ± 3.22, 13.94 ± 3.15, 0.009), LA minimum volume(7.84 ± 2.45, 6.84 ± 2.30, < 0.001), LA vertical diameter (44.08 ± 6.92, 34.60 ± 4.31, < 0.001), LA horizontal diameter (45.65 ± 6.88, 33.43 ± 4.51, < 0.001), LAVI (50.73 ± 18.62, 41.0 ± 13.02, < 0.001), total conduction time (103.69 ± 12.70, 79.82 ± 18.40, < 0.001) after T3 replacement (respectively pre-post treatment and p-value).
Conclusion
The results of the current study suggest that adding T3 to LT4 treatment may improve LAVI and atrial conduction times in patients with low T3. However, more research with larger patient groups is needed to better understand the effects of combined hypothyroidism treatment on cardiac functions.
Automatic and manual prediction of epileptic seizures based on ECG
Authors: MBAREK Manef BEN , ASSALI Ines , HAMDI Salah , ABDALLAH Asma BEN , DAVID Olivier , AISSI Mouna , CARRERE Marcel , BEDOUI Mohamed HEDI 
Published: January 2023

Abstract
This study presents a new attempt to quantify and predict changes in the ECG signal in the pre-ictal period. In the proposed approach, threshold techniques were applied to the standard deviation (STD) of two Heart rate variability features (The number of heartbeats per two minutes and approximate entropy) computed to ensure prediction and quantification of the pre-ictal state. We analyzed clinical data taken from two epileptic public databases, Siena Scalp EEG and Post-Ictal Heart Rate Oscillations in Partial Epilepsy and a local database. By testing the proposed approach on the Siena scalp EEG database, we achieved a sensitivity of 100%, specificity of 95%, and an accuracy of 96.4% whereas using acquisitions from the post-Ictal database, we achieved a sensitivity of 100%, specificity of 91% and an accuracy of 94% and using the local database we achieved a sensitivity of 100%, a specificity of 97% and an accuracy of 97.5%. Furthermore, the proposed approach predicted 58.7%, 57.2, and 40% of the seizures before the onset by more than 10 min for the data taken from post-ictal, local and Siena database, respectively. Using the automatic threshold technique, we were able to achieve a sensitivity, specificity, and accuracy of 85%, 81%, 82% using our local database respectively, whereas using acquisitions take from the Siena Scalp EEG database, we achieved a sensitivity of 75%, specificity of 85% and an accuracy of 82%. Besides, using the post-ictal database, we achieved a sensitivity of 90%, a specificity of 83% and an accuracy of 85%.
Identification of hub genes in liver hepatocellular carcinoma based on weighted gene co-expression network analysis
Authors: Sun Jiawei , Zhang Zizhen , Cai Jiaru , Li Xiaoping , Xu Xiaoling 
Published: January 2023

Abstract

Methods: Our study mainly used The Cancer Genome Atlas (TCGA) LIHC database and the gene expression profiles of GSE54236 from the Gene Expression Omnibus (GEO) to explore the differential co-expression genes between LIHC and normal tissues. The differential co-expression genes were extracted by Weighted Gene Co-expression Network Analysis (WGCNA) and differential gene expression analysis methods. The Genetic Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were carried out to annotate the function of differential genes. Then the hub genes were validated using protein-protein interaction (PPI) network. And the expression level and prognostic analysis were performed. The probable associations between the expression of hub genes and both tumor purity and infiltration of immune cells was explored by TIMER.
Results: A total of 68 differential co-expression genes were extracted. These genes were mainly enriched in complement activation (biological process), collagen trimer (cellular component), carbohydrate binding and receptor ligand activity (molecular function) and cytokine−cytokine receptor interaction. Then we demonstrated that the 10 hub genes (CFP, CLEC1B, CLEC4G, CLEC4M, FCN2, FCN3, PAMR1 and TIMD4) were weakly expressed in LIHC tissues, and worse overall survival (OS) and disease-free survival (DFS) in LIHC patients were associated with the lower expression of CFP, CLEC1B, FCN3 and TIMD4. Ten hub genes had positive association with tumor purity.
Conclusion: CFP, CLEC1B, FCN3 and TIMD4 could serve as novel potential molecular targets for prognosis prediction in LIHC.
Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep Neural Network, a Survey
Authors: Wimmer Paul , Mehnert Jens , Condurache Alexandru Paul 
Published: January 2023

Abstract
State-of-the-art deep learning models have a parameter count that reaches into the billions. Training, storing and transferring such models is energy and time consuming, thus costly. A big part of these costs is caused by training the network. Model compression lowers storage and transfer costs, and can further make training more efficient by decreasing the number of computations in the forward and/or backward pass. Thus, compressing networks also at training time while maintaining a high performance is an important research topic. This work is a survey on methods which reduce the number of trained weights in deep learning models throughout the training. Most of the introduced methods set network parameters to zero which is called pruning. The presented pruning approaches are categorized into pruning at initialization, lottery tickets and dynamic sparse training. Moreover, we discuss methods that freeze parts of a network at its random initialization. By freezing weights, the number of trainable parameters is shrunken which reduces gradient computations and the dimensionality of the model's optimization space. In this survey we first propose dimensionality reduced training as an underlying mathematical model that covers pruning and freezing during training. Afterwards, we present and discuss different dimensionality reduced training methods -- with a strong focus on unstructured pruning and freezing methods.