bluuebunny/crossref_metadata_2025 huggingface dataset:
Hanyalı Nûrî Osmân Divânı’nda Naat
Authors: YALÇIN Dilek
Published: April 2023

Temel kaynağı Kur’ân-ı Kerim ve hadisler olan Divan şiirinin belli başlı konularından biri Hz. Muhammed’dir. İnsanoğlu için yaşam mürşidi ve şefaat kaynağı olması sebebiyle Hz. Muhammed’e derin sevgi duyulmuş, bu derin sevgi şiire yansımış, Hz. Muhammed müstakil türlerde ya da türler içinde sıkça ele alınmıştır. Bu türler içinde en yaygın olanı naatlardır. Naatlar; Hz. Muhammed’i anmak, övmek, tanıtmak ve Hz. Muhammed’in şefaatine nail olmak isteyen şairler için en elverişli metin şeklidir. Naatlarda Hz. Muhammed’in hayatı, bedenî ve ahlakî güzellikleri, isim ve sıfatları, yaratılış felsefesindeki önemi, diğer peygamberlerden üstün özellikleri, nesebi, ailesi ve mucizeleri ele alınır. Hz. Muhammed’in tasvirinde çeşitli teşbih ve istiarelere dayanarak ortaya çıkan motiflerden istifade edilir. Şefaat talep edilir. İktibaslardan faydalanılır.
Hz. Muhammed’e olan sevgisini şiirlerinde işleyen Divan şairlerinden biri Hanyalı Nûrî Osmân’dır. Hanyalı Nûrî Osmân Divânı, kaside şeklinde tertip edilen bir naatla başlar. Divanda kaside, musammat ve gazel şeklinde yazılan naatlara rastlanılmaktadır. Bu naatlarda Hz. Muhammed’in bedenî ve ahlakî güzellikleri, isim ve sıfatları, mucizeleri, diğer peygamberlerden üstün özellikleri ve yaratılış felsefesindeki önemi çok çeşitli motiflerden ve iktibaslardan faydalanılarak ele alınmıştır.
Çalışmamızda öncelikle Hanyalı Nûrî Osmân Divânı’ndaki naatların dış yapı unsurları ele alınmıştır.Bu bölümde naatların başlıkları, vezinleri, nazım şekilleri, redif ve kafiyeleri ile dil ve üslup özellikleri tespit edilmiştir. Daha sonra muhteva; Hz. Muhammed’in isim ve sıfatları, Hz. Muhammed’in bedenî ve söyleyiş özellikleri, Hz. Muhammed etrafında oluşturulmuş motifler, Hz. Muhammed’in mucizeleri, Hz. Muhammed’in tasvirindeki iktibaslar ve şefaat talebi başlıklar altında incelenmiştir. Bu başlıklardan yola çıkılarak Hanyalı Nûrî Osmân Divânı’ndaki naatlarda ortaya koyulan peygamber tasavvuru ve yaratılış felsefesi tespit edilmiştir.
El fracaso de la Intendencia en Honduras : la Alcaldía Mayor de Tegucigalpa (1799-1819)
Authors: Lorente Sariñena Marta
Published: April 2023

En 1992, el Tribunal de la Haya falló un complicado contencioso territorial que enfrentaba desde hacía ya varios años a las Repúblicas de Honduras y de El Salvador. No es este el lugar más indicado para dar cuenta de sus pormenores, pero sí interesa recoger una de las afirmaciones del alto Tribunal.
Antecedentes histórico-jurídicos del Código Penal chileno de 1874
Authors: Iñesta Pastor Emilia
Published: April 2023

La independencia política no supuso en general para toda América la sustitución inmediata de su Derecho, al contrario, siguió rigiendo la legislación de la antigua metrópoli. La independencia supuso la ruptura de los vínculos políticos con la Corona española pero no de la configuración de la sociedad de estos países ni tampoco de su economía; en esos ámbitos se mantuvieron las costumbres y creencias, en definitiva la tradición española.
Le Front National: évdution idéologique et stratégie de dé-diabolisation
Authors:   Société d’Etudes Franco-coréennes, KIM Taesoo
Published: April 2023

Plus de 50 ans après sa fondation en 1972, le Front National conforte désormais sa position d'acteur principal et “normal” dans la vie politique française et maintenant affiche ouvertement sa volonté de la conquête du pouvoir politique suprême. Dans cet article, nous tenterons de mettre en lumière sur l'évolution récente de ce parti en rapport à la fois avec le système politique français et la mouvance d'extrême droite à laquelle appartient cette formation politique. Plus précisément, le fondement idéologique du paiti et ses changements seront éclairés à travers l'articulation de trois notions-clés, soit le national- populisme, le ethno-nationalisme et le ethno-différentialisme avant d'aborder une série de réorientations en matière de lignes et discours politiques dans le cadre de la stratégie de « dé-diabolisation », mise en oeuvre par Marine Le Pen. Bien que la mutation idéologique et les choix stratégiques soient les principales variables expliquant l'essor électoral de ce parti, sa nature idéologique en tant que force politique d'extrême droite xénophobe reste constante.
Driving Forces: Generational Differences on the Purchasing Behavior of Investment Assets among Gen Y and Gen Z
Authors: Quetua Karl Nikolai , Juan Maria Clarizze Jade , Katipunan Gheena Rhae Mariah , Velasco Clyde Marcus , Etrata Antonio Jr.
Published: April 2023

With the rising numbers and interest in the financial literacy of Filipinos, more and more people are delving into investment assets. In this case, investment firms in the Philippines must discover new methods to address the current demand for investment assets better and plan effective strategies. This study aims to identify the purchasing behavior and factors influencing investment intention among Gen Y and Z investors. In order to assess the generational differences in behavioral patterns, the researchers used a quantitative approach using the convenience sampling technique for data collection. The data was analyzed using Partial Least Square-Structural Equation Modeling (PLS-SEM). The data collected in this research will help the firms know the behavior of their target market. Thus, acquiring the right strategies would increase sales of the said investment firms and help them determine the appropriate target market. This research shows that only financial literacy has a significant relationship with the investment purchasing behavior of both Gen Y and Gen Z investors, and there is no significant difference between their investment intentions. In order to influence both generations, marketing promotions of investment firms must appeal to the investors' prior investment knowledge. The results of this study will help the firms know the behavior of their target market, and thus, acquiring the right strategies would lead to the increase of sales of the said investment firms and would help them determine the appropriate target market.
Prevention of gastrointestinal bleeding in patients after endovascular surgery on the arteries of the lower extremities for critical ischemia in diabetes mellitus
Authors: Polyantsev Alexander A. , Frolov Denis V. , Linchenko Alexander M. , Karpenko Svetlana N. , Kosivtsov Oleg A. , Chernovolenko Andrey A. , Kaplunova Evgeniya V.
Published: April 2023

Relevance: Patients with critical lower limb ischemia and diabetes mellitus are the most difficult group of patients in terms of a favorable outcome of the disease. The number of such patients increases annually. When treating these patients, it is necessary to take into account many different pathological conditions that can lead to fatal complications in the perioperative period. The purpose of the work: The aim of the work was to study methods of prevention of gastrointestinal bleeding in patients after endovascular surgery on the arteries of the lower extremities for critical ischemia in diabetes mellitus. Material and methods: The prospective study included 220 patients who were treated in the vascular surgery department of the A. A. Polyantsev General Surgery Clinic of the Volgograd State Medical University for obliterating atherosclerosis of the arteries of the lower extremities and diabetes mellitus in the period from 2017 to 2021 inclusive. All patients were diagnosed with critical ischemia of the lower extremities stage IIIIV ischemia according to the Fontaine-Pokrovsky classification. Results and discussion. The relationship between the number of painkillers taken per day to reduce pain syndrome and erosive and ulcerative lesions of the gastric mucosa and duodenum in both groups was noted. Conclusion: All patients with peripheral artery diseases accompanied by critical ischemia had endoscopic changes from gastritis to ulcerative lesions, including those complicated by bleeding, by the time they sought specialized medical care. The group at increased risk of gastrointestinal bleeding is patients with repeated reconstructions, surgical corrections of complications or amputations at various levels (from finger to hip), as well as taking anticoagulants in therapeutic dosage. Routine prevention of gastrointestinal bleeding with proton pump inhibitors is not acceptable for this group of patients.
Clinical case of two-stage surgical treatment large liver hemangioma
Authors: Pelts Vladislav A. , Tropin Valentin E. , Pachgin Igor V.
Published: April 2023

Postresection hepatic insufficiency is a formidable complication after liver resections, leading to an unfavorable course of the postoperative period and, often, to a fatal outcome. The article presents a clinical case of successful surgical treatment of tumor of the liver and prophylactics of hard remnant liver insufficiency. The article presents the results of treatment of a patient with a large liver tumor by a staged method, a review of the immediate data is given retrospectively by describing the course of diagnosis and treatment of the disease. We have illustrated a case of successful two-stage surgical treatment of a patient with a large hemangioma of the liver using laparoscopic ligation of the right branch of the portal vein, which makes it possible to prevent the development of severe post-resection liver failure.
Comparative analysis of clinical and functional parameters of the gingival margin of patients with low crown height against the background of various methods of preparation for prosthetics
Authors: Veremeenko Sergey A. , Makedonova Yulia A. , Verstakov Dmitry V. , Bolovina Yanina P. , Glukhova Ekaterina S.
Published: April 2023

Currently, one of the most common types of prosthetics are restorative crowns or bridges, which cannot provide high-quality retention and long-term fixation with a low crown of supporting teeth. For an orthopedic dentist, the question arises of choosing a method of preparation before prosthetics. In this work, a comprehensive examination and treatment of 95 patients with a low crown of supporting teeth was carried out, who were randomized into 3 groups according to the methods of preparation for orthopedic treatment gingivoretraction, gingivectomy and gingiviplasty. The change in the state of the dentoalveolar complex was carried out clinically and functionally. The hygienic index API, papillary bleeding index PBI, the index of need for periodontal treatment CPITN, gum recession and depth of probing were determined. Laser Doppler flowmetry was used to assess the state of local blood flow and vasomotor activity of vessels. The studied parameters were evaluated before the start of preparation for orthopedic treatment and after 14 days. During the study, complications and side effects were not revealed, however, clinical and functional indicators indicate that preference should be given to gingivoplasty as one of the qualitative methods of preparing the dentoalveolar complex in patients with a low crown of supporting teeth.
Proposta de modelo para o dimensionamento de sistemas de cabeamento estruturado
Authors: Pessanha Elisa Prata , Barreto Plinio Rodrigues Rosa
Published: April 2023

The structured cabling system (SCE) aims to standardize and unify voice, data, image, building automation, and electronic security installations in a building. The aim of this work was to propose a model for the design of SCE in commercial buildings in the light of current national technical standards. Research was carried out in the scientific bases Scopus, Web of Science, and Google Scholar with the purpose of knowing the best practices and guidelines related to the theme. We built a model proposal for the design of an SCE in commercial buildings, applied to the environment of a teaching laboratory. We generated a list of materials, the ground floor rack face plan, with the help of the Lucidchart platform, and the building's vertical scheme, using AutoCAD Electrical 2016 software. The design model obtained proved to be relevant due to the possibility of applying it with ease in several scenarios involving SCE in commercial buildings, aiming at the economy and flexibility of the system.
DİL VE EDEBİYAT ARAŞTIRMALARINDA AHLAK VE YÖNTEM
Authors: YALNIZ Asena
Published: April 2023

Çıkla, Selçuk (2021), Dil ve Edebiyat Araştırmalarında Ahlak ve Yöntem. Ankara: Akçağ Yayınları, 406 s., ISBN: 978-605-342-652-3.
Sentinel node biopsy in early oral squamous cell carcinoma - a safe diagnostic and therapeutic procedure
Authors: Savaria Fabrice N. , Stoeckli Sandro J.
Published: April 2023

Sentinel node biopsy (SNB) is considered the standard surgical procedure for detecting occult neck node metastasis in oral squamous cell carcinoma (OSCC) in many centers around the world. Due to the fact that this method removes and evaluates the first lymph node(s) reached by the lymphatic flow from the tumor area, this has raised the question of whether SNB could also be considered a therapeutic procedure by targeted lymphadenectomy instead of elective neck dissection (END). Compared to END, its safety and low morbidity have been established. However, the surgical management of the clinical node-negative (cN0) neck in T1/T2 oral carcinoma has been under ongoing debate due to the lack of randomized studies comparing SNB to END in terms of overall survival (OS), disease-free survival (DFS) and neck recurrence rates (NRRs). In the last years, two prospective randomized studies have proven with high-level evidence the noninferiority of SNB compared to END in terms of oncologic outcome while reducing costs and morbidity. In our opinion, SNB should be offered as the new standard therapeutic procedure in early OSCC.
Combined hepatocellular-cholangiocarcinoma: morpho-molecular updates and considerations
Authors: Ahmed Naghia , Falcinelli Francesca , Rimini Margherita , Burgio Valentina , Casadei-Gardini Andrea , Aldrighetti Luca , Ratti Francesca , Pedica Federica
Published: April 2023

Combined Hepatocellular-Cholangiocarcinoma is a heterogenous primary malignant epithelial tumor of the liver with variable morphological and immunophenotypical features. Although the biology of this tumor has been described in the literature, changes in classification and its heterogeneity imply difficulties in collecting reliable homogenous groups to compare. The article aims to review available data on morphology and immunohistochemistry for practicing pathologists integrated with original data from our referral Center.
The EAEU: Difficult Search for New Partners and New Markets
Authors: Krivogouz M.
Published: April 2023

Under the unprecedented Western economic pressure, Russia and Belarus are forced to search for the new foreign trade markets and partners – “the turn to the East”. The author presents the criteria of search for new prospective markets and cooperation partners to resist the sanctions. The urgent need of further integration between Russia, Belarus, the Eurasian Economic Union member states and other “friendly” integration associations is emphasized.
The Leading Role of Digital Technologies in the Development of the Smart City Concept in Azerbaijan
Authors: Huseynova Arzu , Mazanova Ophelya
Published: April 2023

The article describes the application of the Smart City concept and the economic opportunities it creates, infrastructure and services, and opportunities to improve governance. The main features of the Smart City concept, development directions and evolution, standards and solutions, factors and obstacles to its implementation have been analyzed by the author. The experience of different countries in the application of digital technologies is discussed. The article provides the scope and structure of the "smart" market, application stages and scenarios. International experience in this field was widely analyzed and examples were given, comparisons were made and suggestions were made. The article talks about smart cities, the construction of which has already begun in Azerbaijan. The application of the smart city concept in Azerbaijan has been studied. It is stressed that the spread of digital technologies for the construction of a smart city in Azerbaijan is a prerequisite. The Network Readiness Index (NRI) identifies the indicators that are holding back Azerbaijan in the ranking for 2021. In our study, based on the growth dynamics for 2017-2020, the forecast was calculated by analyzing the trend in the ICT development index in Azerbaijan for 2022-2025.
Ordinal Logistic Regression as a Tool To Estimate the Risk of Escalating Outcomes. An Application to Vehicle Crash Data
Authors: Gnardellis Charalambos , Notara Venetia , Tzamalouka Georgia , Papadakaki Maria , Chliaoutakis Joannes
Published: April 2023

The use of logistic regression models in data analysis and machine learning has expanded in recent years and has become the primary preference of researchers in risk assessment studies across a wide range of scientific fields. From the assessment of credit risk in financial institutions to the estimation of risk factors for traffic accidents or the identification of etiological factors for chronic diseases. All logistic models are natural extensions of the simple binary model, and their interpretation is based on it. Using the data of a cross-sectional study on the risk factors of traffic collisions, the two main extended models of logistic techniques, multinomial and ordinal logistic regression, are presented in the article in detail. Emphasis is placed on the use of ordinal regression since the outcome variable of the collision data is defined as ordinal measurement reflecting a latent continuous scale.
Prevalence of Entamoeba gingivalis in Periodontal Disease- a Literature Review and Meta-analysis
Authors: Vlasa Alexandru , Bud Anamaria , Lazar Luminita , Lazar Ana-Petra , Herbert Alexander , Bud Eugen
Published: April 2023

The oral cavity is environment to a diverse range of organisms that make up an essential element of the human microbiota. There are 50-1000 kinds of microorganisms capable of colonizing the mouth. The entamoeba parasites have at minimum 7 species (E. histolytica, E. dispar, E. moshkovskii, E. coli, E. polecki E. hartmann, E. gingivalis). These parasites are parasitic single-celled organisms and Entamoeba gingivalis was the first amoeba to be described in 1849 that was capable of existing in humans. It was shown that only Entamoeba gingivalis is able to colonize the oral cavity. The aim of this study was to evaluate prevalence of E. Gingivalis in periodontal disease using two electronic database search engines. In order to have a broader view of the subject, a comprehensive manual search was conducted on these content aggregators and the initial search resulted in 277 articles using the keywords „Entamoeba gingivalis”, „periodontitis”, „E. gingivalis”, „periodontal disease”, „prevalence”, and „incidence”, in different combinations. The results showed that 755 cases were infected with Entamoeba gingivalis out of a total number of 1,729 patients diagnosed with periodontal disease indicating a global prevalence of 43%. When comparing different stages of periodontal diseases results revealed that the prevalence in patients with gingivitis was 58% while in periodontitis group the prevalence was 44%. Overall prevalence of Entamoeba Gingivalis based on gender was 43 % in female patients whilst in male patients was 47%. Based on the results it can be concluded that the higher incidence of Entamoeba Gingivalis in people with periodontal disease compared to healthy people is more than just a sign of the disease; it may also be linked to the severity of the condition and its propensity to progress.
Pose Estimation of Sow and Piglets During Free Farrowing Using Deep Learning
Authors: Farahnakian Fahimeh , Björkman Stefan , Farahnakian Farshad , Bloch Victor , Pastell Matti , Heikkonen Jukka
Published: April 2023

Automatic and real-time pose estimation is important in monitoring animal behavior, health and welfare. In this paper, we utilized pose estimation for monitoring farrowing process to prevent piglet mortality and preserve the health and welfare of sow. State-of-the-art Deep Learning (DL) methods have lately been used for animal pose estimation. The aim of this paper was to probe the generalization ability of five common DL networks (ResNet50, ResNet101, MobileNet, EfficientNet and DLCRNet) for sow and piglet pose estimation. These architectures predict body parts of several piglets and the sow directly from input video sequences. Real farrowing data from a commercial farm was used for training and validation of the proposed networks. The experimental results demonstrated that MobileNet was able to detect seven body parts of the sow with median test error of 0.61 pixels.
Stator ITSC Fault Diagnosis of EMU Asynchronous Traction Motor Based on ApFFT Time-shift Phase Difference Spectrum Correction and SVM
Authors: Ma Jie , Liu Xiaodong , Hu Jisheng , Fei Jiyou , Zhao Geng , Zhu Zhonghuan
Published: April 2023

Abstract: The EMU(electric multiple units) traction motors are powered by converters. The PWM(pulse width modulation) voltage increases the voltage stress borne by the motor insulation system, making the ITSC(inter-turn short-circuit) fault more prominent. An index based on short-circuit thermal power was proposed in the article to evaluate the non-metallic ITSC faults degree. The apFFT(all phase FFT) time-shift phase difference correction with double Hanning-windows is used to calculate the fundamental frequency of the traction motor's ZSVC（zero se-quence voltage component）, the fundamental amplitudes of ZSVC and three-phase current. The five parameters are used as fault features to train the SVM (support vector machine)fault diagnosis model. The SVM hyper-parameters C and g are optimized by K-CV (K fold cross-validation) and grid search methods. The experimental verification was carried out by the EMU electric traction simulation experimental platform. According to the non-metallic degree index proposed in this article, the experimental samples were divided into three categories, normal, incipient and serious fault samples. The ITSC fault diagnosis accuracy was 100% on the training data set and 93.33 % on the test data set. There was no misclassification between normal and serious ITSC fault samples.
Improved Model for Predicting Food Safety Risks at Taiwan Border Using the Voting-Based Ensemble Method
Authors: Wu Liya , Liu Fangming , Weng Songshun , Lin Wenchou
Published: April 2023

: Border management serves as a crucial control checkpoint for governments to regulate the quality and safety of imported food. In 2020, the ensemble learning prediction model EL V.1 was introduced to Taiwan's border food management. This model primarily assesses the risk of imported food by combining five algorithms to determine whether quality sampling should be performed on imported food at the border. In this study, a second-generation ensemble learning prediction model, EL V.2, was developed based on seven algorithms to enhance the "detection rate of unqualified cases" and improve the robustness of the model. The chi-square test was employed to compare the efficacy of "pre-launch (2019) random sampling inspection" and "post-launch (2020–2022) model prediction sampling inspection". For cases recommended for inspection by the ensemble learning model and subsequently inspected, the unqualified rates were 5.10%, 6.36%, and 4.39% in 2020, 2021, and 2022, respectively, which were significantly higher (p=0.000***) compared with the random sampling rate of 2.09% in 2019. The prediction indices established by the confusion matrix were used to further evaluate the prediction effects of EL V.1 and EL V.2, and the EL V.2 model exhibited superior predictive performance compared with EL V.1, and both models outperformed random sampling.
Effect of Processing Technology, Nanomaterial and Coupling Agent Ratio on Some Physical, Mechanical, and Thermal Properties of Wood Polymer Nanocomposites
Authors: Birinci Emre , Kaymakci Alperen
Published: April 2023

The goal of this study is to find out how some properties of wood-polymer nanocomposites are affected by the processing technology, the nanomaterials, and the ratio of coupling agents. To meet this objective, the extruded and dry blended samples are made from wood flour with MAPP, ZnO nanoparticles (0, 1, 3, and 5 wt%), and polypropylene. The mechanical properties of the nanocomposites improve significantly with ZnO and MAPP loading. Due to the more homogeneous structure of nanocomposites, better mechanical results are obtained with the extrusion method. With ZnO and MAPP loading, the thermal stability of nanocomposites improves. The storage and loss modulus values indicate that the processing technology of nanocomposites could be a key factor in the resistance of the materials obtained by extrusion. The storage and loss modulus of nanocomposites manufactured by the extrusion technology are determined to be higher than those of the samples produced by the dry blending method.
Phosphorylation of the CDK Substrate MSCDK Regulates Synaptonemal Complex Disassembly and Meiosis Metaphase I Transition
Authors: Li Mengjing , Zhang Mingyu , Li Hanzhen , Lu Gang , Chan Wai-yee , Ma Jinlong , Liu Hongbin , Huang Tao
Published: April 2023

Meiosis is a specialized cell division that produces haploid gametes from diploid germ cells, and the phosphorylation activity of cyclin-CDK complexes and Polo-like kinase is required for synaptonemal complex (SC) disassembly and metaphase I exit. Here, we identified a novel protein MSCDK (meiotic substrate of cyclin dependent kinase) that functions as a substrate of CDK1 in initiating SC disassembly and metaphase I transition during meiosis prophase I in mice. Deletion of MSCDK caused germ cell death and infertility in males but not females. Mechanistically, we show that MSCDK is sparsely localized as discrete foci along synaptic homologous chromosomes from the early zygotene to the early diplotene, and we confirm that MSCDK can be phosphorylated by CDK1 and dephosphorylated by the cell cycle exit regulator phosphatase PP1α. We also provide evidence that MSCDK is essential for SC disassembly based on its dephosphorylation-related function, which apparently promotes HSPA2 nuclear recruitment.
A New Temperature Correction Method for NaI(Tl) Detectors Based on Pulse Deconvolution
Authors: Xie Jianming , Yang Liu , Li Jinglun , Zhang Yuzhong , Qi Sheng , Chen Wenzhuo , Chen Ye , Xu Hang , Xiao Wuyun
Published: April 2023

To overcome the temperature effect of NaI(Tl) detectors for energy spectrometry without additional hardware, a new correction method was put forward based on pulse deconvolution, trapezoidal shaping and amplitude correction, named DTSAC. To verify this method, actual pulses from a NaI(Tl)-PMT detector were measured at different temperatures from -20℃ to 50℃. Pulse processing and spectrum synthesis showed that the position drift of the 662 keV peak was less than 3 keV, and the corresponding resolution at 662 keV of the sum spectra ranges from 6.9% to 10.60% with trapezoidal width set as 1000 ns to 100 ns. The DTSAC method corrects temperature effect by pulse processing, and need no reference peak, reference spectrum and additional circuits. The method solves the problem of correction of pulse shape and pulse amplitude at the same time, and can be used even at high counting rate.
The Role of CT Scan in the Work-Up and Management of Blunt and Penetrating Trauma and Acute Surgical Emergencies - A Focused Literature Review
Authors: Shangase Thobekile Nomcebo , Hardcastle Timothy Craig
Published: April 2023

Abstract: Background: Trauma is the leading cause of morbidity and mortality in young patients, acute surgical conditions cause morbidity and mortality in patients of all ages. Computed tomography scan (CT) assist greatly in the investigation and management of these patients with blunt and penetrating trauma, facilitating early diagnosis and expedites early appropriate treatment of these patients. Acute non-traumatic surgical conditions also mimic non-surgical pathologies and differentiating the two is important because management is different and any delay in surgical intervention results in high morbidity and some may even result in mortality. Method: Literature review of the role of multidetector CT scan (MDCT) in managing acute surgical emergencies and trauma-diagnosis in the trauma patient and patients presenting with acute surgical emergencies. The focus is on the role of the MDCT in the management of these patients. Results highlight that the use of MDCT expedites management of these patients, allowing early surgical intervention and preventing unnecessary surgical interventions where the intervention is not indicated, based on the MDCT results. Conclusion: This paper emphasizes the important role that is played by the MDCT in the management of the above patients.
Genetic Polymorphisms of ACE1 rs4646994 Associated with Lung Cancer in Patients with Pulmonary Nodules: A Case Control Study
Authors: Qiao Rong , Sang Siyao , Teng Jiajun , Zhong Hua , Li Hui , Han Baohui
Published: April 2023

Background: Currently, many detection methods have high sensitivity to the diagnosis of lung cancer. However, some postoperative patients with pulmonary nodule were eventually diagnosed as benign nodules. The ideal evaluation of an individual with a pulmonary nodule would expedite therapy for a malignant nodule and minimize testing for those with a benign nodule.Methods: This case-control study is designed to explore the relationship between ACE1 rs4646994 polymorphism and the risk of lung cancer in patients with pulmonary nodules, 400 individuals with lung cancer and benign pulmonary nodules were included. A DNA extraction kit was used to extract plasm DNA from peripheral blood. The relationship between ACE1 rs4646994 and the risk of lung cancer in patients with pulmonary nodules was determined by chi-square test, logistic regression analysis and cross analysis. Results: The results showed that the DD genotype of ACE1 rs4646994 may increase the risk of lung cancer in patients with pulmonary nodules, and this correlation was more significant in the female subgroup. In the age stratification analysis, it was found that the risk of lung cancer was significantly increased in the DD genotype of ACE1 rs4646994 in the older subgroup (> 45 years). In addition, the possibility of EGFR mutation in lung adenocarcinoma patients with ACE1 rs4646994 DD genotype was lower than that of II or ID genotype carriers. Conclusions: Our study indicated that ACE1 rs4646994 polymorphism increases the risk of lung cancer in patients with pulmonary nodules from China.
Attenuation Correction of the X-Band Dual-Polarization Phased Array Radar Based on Observed Raindrop Size Distribution Characteristics
Authors: Feng Jiabao , Liu Xiantong , Xia Feng , Zhang Yu , Rao Xiaona
Published: April 2023

X-band dual-polarization phased array radar (XPAR-D) possesses high temporal-spatial resolutions and plays a significant role in detecting meso- and micro-scale convective systems. However, the precipitation attenuation it endures necessitates an effective correction method. This study selected radar data from XPAR-D at the peak of Maofeng Mountain in Guangzhou during May 16-17, 2020 from three precipitation stages after quality control. Attenuation coefficients are calculated for different precipitation types through scattering simulations of raindrop size distribution (RSD) data. Drawing upon this, an attenuation correction algorithm (MZH-KDP method) is proposed for radar reflectivity factor (ZH) according to different raindrop types, and is compared to the ZH-KDP method currently in use. The results indicate that the attenuation amount of XPAR-D echoes depends on the attenuation path and echo intensity. When the attenuation path is shorter and the echo intensity is weaker, the amount of attenuation and correction is smaller. Difficulties arise when there are noticeable deviations in such a situation, which are challenging to solve via attenuation correction methods. Longer attenuation paths and stronger echoes highlight the advantages of the MZH-KDP method, while the ZH-KDP method tends to overcorrect the bias. The MZH-KDP method outperforms the ZH-KDP method for different precipitation types. The superior correction capability of the MZH-KDP method provides a significant advantage in improving the performance of XPAR-D for the detection of extreme weather.
Sample Plots Forestry Parameters Verification and Updating Using Airborne LiDAR Data
Authors: Wang Jie , Yao Chunjing , Ma Hongchao , Xu Junhao , Qian Chen
Published: April 2023

The rapid development of LiDAR technology has promoted great changes in forest resource surveys. The airborne LiDAR point cloud can provide precise tree height and detailed vertical structure of the tree stands. Coordinating some representative ground sample plots, LiDAR can be used to estimate key forest resource indicators such as forest stock volume, diameter at breast height, and forest biomass at a large scale. By establishing relationship models between the forest parameters of sample plots and the calculated parameters of LiDAR, these developments may eventually expand the models to large-scale forest resource surveys of entire areas. In this study, eight sample plots in northeast China are used to verify and update the information using point cloud obtained by the LiDAR scanner riegl-vq-1560i. Firstly, the tree crowns are segmented using the profile-rotating algorithm, and dominant trees height are used to check and rectify the tree locations. Secondly, considering the correlation between forestry parameters and tree species, we establish models to distinguish between species using geometric characteristics of tree crowns. Thirdly, when the tree species is known, parameters such as height, crown width, diameter at breast height, biomass and stock volume can be extracted from trees. The prediction models of forestry parameters can also be verified, which can be extended to accurate large-scale forestry surveys based on LiDAR data. Finally, experiment results demonstrate that the F-score of the eight plots in the tree segmentation exceed 0.95, the accuracy of tree species correction exceeds 90%, and the R2 of tree height, east-west canopy width, north-south canopy width, diameter at breast height, above-ground biomass and stock volume are 0.893, 0.757, 0.694, 0.840, 0.896 and 0.891, respectively. The above results indicate that the LiDAR-based estimation of forestry parameters is practical and that these forestry parameter prediction models can be widely applied in forest resource monitoring.
Engagement and Retention of Families in Universal Australian Nurse Home Visiting Services: A Mixed Methods Study
Authors: Mawhinney Belinda , Fraser Jennifer
Published: April 2023

Family support is offered to Australian parents of young children using a mix of targeted and universal child and family health services. A feature of the universal services is the ability for nurses to work in partnership with families and to offer flexibility depending on need. This model of progressive universalism relies on the voluntary engagement of families, including families with complex needs. In this study, the capacity to engage and retain families, including those at risk for child maltreatment and family violence, was examined. Child and Family Health Nurses (n=129) participated in a pragmatic, multilevel mixed-methods study using the McCurdy and Daro (2001) Integrated Theory of Parent Involvement. A questionnaire was used in the first phase of the study to collect the quantitative data. Focus groups were then held with 27 participants recruited from phase one. Both homogeneous and heterogenous practices identified from the questionnaire were the focus of the discussions. Three phases of practice were identified and described: enrolment, retention and conclusion of the nurse-parent relationship and are presented and discussed in this paper. The retention of families with complex needs relies on flexible, advanced, and multidimensional nursing practices.
Dopamine Receptor Ligand Selectivity - An In Silico / In Vitro Insight
Authors: Zell Lukas , Bretl Alina , Temml Veronika , Schuster Daniela
Published: April 2023

Different dopamine receptor (DR) subtypes are involved in pathophysiological conditions such as Parkinson´s Disease (PD), schizophrenia and depression. While many DR-targeting drugs have been approved by the FDA, only a very small number is truly selective for one of the DR subtypes. Additionally, most of them show promiscuous activity at related G-protein coupled receptors, thus suffering from diverse side-effect profiles. Multiple studies have shown that combined in silico / in vitro approaches are a valuable contribution to drug discovery processes. They can also be applied to divulge the mechanisms behind ligand selectivity. In this study, novel DR ligands were investigated in vitro to assess binding affinities at different DR subtypes. Thus, nine D2R/D3R-selective ligands (micro- to nanomolar binding affinities, D3R-selective profile) were successfully identified. The most promising ligand exerted nanomolar D3R activity (KI = 2.3 nM) with 263.7-fold D2R/D3R selectivity. Subsequently, ligand selectivity was rationalized in silico based on ligand interaction with a secondary binding pocket, supporting selectivity data determined in vitro. The developed workflow and identified ligands could aid in the further understanding of structural motifs responsible for DR subtype selectivity, thus, benefitting drug development in D2R/D3R-associated pathologies like PD.
Association Study of Agronomic and Oil Traits in Rapeseed (Brassica napus L.) Mutant Lines Using Genotyping-by-Sequencing
Authors: Yang Baul , Kim Dong-Gun , Kim Sang Hoon , Lee Ye-Jin , Kim Woon Ji , Baek So Hyeon , Kang Si-Yong , Ahn Joon-Woo , Bae Chang-Hyu , Ryu Jaihyunk
Published: April 2023

Rapeseed (Brassica napus L.) is one of the most oil crop, and its commercial value is contingent upon its agronomic characteristics and oil quality. In this study, 73,226 single nucleotide polymorphisms (SNPs) across 95 rapeseed mutant lines derived from gamma rays and their original cultivar (‘Tamra’) obtained from genotyping-by-sequencing (GBS) was investigated gene ontology (GO) analysis and genome-wide association study (GWAS). GWAS was conducted on agronomic (plant height, ear length, thousand seed weight and seed yield) and oil (fatty acid and crude fat) traits. GO analysis showed that many genes displaying SNPs were involved in cellular processes, intracellular anatomical structures and organic cyclic compound binding. A total of 149 significant SNPs were associated with the agronomic traits (76 SNPs) and oil traits (73 SNPs). Bna.A05p02350D (SFGH) and Bna.C02p22490D (MDN1) were selected as novel candid genes for thousand seed weight. In addition, Bna.C03p14350D (EXO70) and Bna.A09p05630D (PI4Kα1) were selected as novel candidate genes for the erucic acid and crude fat content, respectively. These findings could facilitate the identification of optimal genotypes for breeding new cultivars, and association studies represent an economically efficient tool for mutant screening and the selection of elite rapeseed-breeding lines.
Comparative Analysis of Cell Mixtures Deconvolution and Gene Signatures Generated for Blood, Immune and Cancer Cells
Authors: Alonso-Moreda Natalia , Berral-Gonzalez Alberto , De La Rosa Enrique , González-Velasco Oscar , Sanchez-Santos Jose Manuel , De Las Rivas Javier
Published: April 2023

In the last two decades many detailed full transcriptomic studies on complex biological samples have been published and included in large gene expression repositories. These studies primarily provide bulk expression signal for each sample, including multiple cell-types mixed within the global signal. The cellular heterogeneity in these mixtures does not allow the activity of specific genes in specific cell types to be identified. Therefore, inferring relative cellular composition is a very powerful tool to achieve a more accurate molecular profiling of complex biological samples. In recent decades, computational techniques have been developed to solve this problem by applying cell deconvolution methods, designed to decompose cell mixtures into their cellular components and calculate the relative proportions of these elements. Some of them, only calculate the cell proportions (supervised methods), while other deconvolution algorithms can also identify the gene signatures specific for each cell type (unsupervised methods). In these work, five deconvolution methods (CIBERSORT, FARDEEP, DECONICA, LINSEED and ABIS) were implemented and used to analyze blood and immune cells, and also cancer cells, in complex mixture samples (using three bulk expression datasets). Our study provides three analytical tools (corrplots, cell-signature plots and bar-mixture plots) that allow a thorough comparative analysis of the cell mixture data. The work indicates that CIBERSORT is a robust method optimized for the identification of immune cell-types, but not as efficient in the identification of cancer cells. We also observed that LINSEED is a very powerful unsupervised method that provides precise and specific gene signatures for each of the five main immune cell-types analyzed: neutrophils and monocytes (in the myeloid lineage), B-cells, NK cells and T-cells (in the lymphoid lineage).
Motion Artifacts Reduction for Noninvasive Hemodynamic Monitoring of Conscious Patients using Electrical Impedance Tomography
Authors: Dang Thi Hang , Jang Geukyung , Lee Kyonghun , Oh Tong In
Published: April 2023

Electrical impedance tomography (EIT) can monitor the real-time hemodynamic state of a conscious and spontaneously breathing patient noninvasively. However, cardiac volume signal (CVS) extracted from EIT images has a small amplitude and is sensitive to motion artifacts (MAs). This study aimed to develop a new algorithm to reduce MAs from the CVS for more accurate heart rate (HR) and cardiac output (CO) monitoring in patients undergoing hemodialysis based on the source consistency between the electrocardiogram (ECG) and the CVS of heartbeats. Two signals were measured at different locations on the body through independent instruments and electrodes, but the frequency and phase were matched when no MAs. As the number of motions per hour (MI) increased over 30, the proposed algorithm had a correlation of 0.83 and a precision of 1.65 beats per minute (BPM) compared to the conventional statical algorithm of a correlation of 0.56 and a precision of 4.04 BPM. For CO monitoring, the precision and upper limit of the mean ∆CO were 3.41 and 2.82 liters per minute (LPM), respectively, compared to 4.05 and 3.82 LPM of the statistical algorithm. The developed algorithm could reduce MAs and improve HR/CO monitoring accuracy and reliability, particularly in high-motion environments.
Bacterial Spore-Based Delivery System: 20 Years of a Versatile Approach for Innovative Vaccines
Authors: Isticato Rachele
Published: April 2023

Mucosal vaccines offer several advantages over injectable conventional vaccines, such as adaptive immunity induction, secretory IgA production at the entry site of most pathogens, and needleless vaccinations. Despite their potential, only a few mucosal vaccines are currently used. Developing new effective mucosal vaccines strongly relies on identifying innovative anti-gens, efficient adjuvants, and delivery systems. Several approaches based on phages, bacteria, or nanoparticles have been proposed to deliver antigens to mucosal surfaces. Bacterial spores have also been considered antigen vehicles, and various antigens have been successfully exposed on their surface. Due to their peculiar structure, the spores conjugate the advantages of live microorganisms with synthetic nanoparticles. When mucosally administered, spores expressing anti-gens have been shown to induce antigen-specific, protective immune responses. This review accounts for recent progress in the formulation of spore-based mucosal vaccines, describing the spore's structure, specifically the spore surface, and the diverse approaches developed to improve its efficiency as a vehicle for heterologous antigen presentation.
A Visual Enhancement Network with Feature Fusion for Image Aesthetic Assessment
Authors: Zhang Xin , Jiang Xinyu , Song Qing , Zhang Pengzhou
Published: April 2023

Abstract: Image aesthetic assessment (IAA) with neural attention has made significant progress due to its effectiveness in object recognition. Current studies have shown that the features learned by convolutional neural networks (CNN) at different learning stages indicate meaningful information. The shallow feature contains the low-level information of images and the deep feature perceives the image semantics and themes. Inspired by this, we propose a visual enhancement network with feature fusion (FF-VEN). It consists of two sub-modules, the visual enhancement module (VE module) and the shallow and deep feature fusion module (SDFF module). The former uses an adaptive filter in the spatial domain to simulate human eyes according to the region of interest (ROI) extracted by neural feedback. The latter not only takes out the shallow feature and the deep feature by transverse connection, but also uses a feature fusion unit (FFU) to fuse the pooled features together with the aim of information contribution maximization. Experiments on standard AVA dataset and Photo.net dataset show the effectiveness of FF-VEN.
Changes in Antigen-Reactive Antibody Level at Various Time Spans after COVID-19 Vaccination Using Machine Learning
Authors: Ma QingLan , Huang FeiMing , Guo Wei , Feng KaiYan , Huang Tao , Cai Yu-Dong
Published: April 2023

Vaccines trigger a complicated immunological response that includes B and T cells, with B cells producing antibodies. SARS-CoV-2 immunity weakens over time after vaccination. Discovering key changes in antigen-reactive antibodies over time after vaccination could help improve vaccine efficiency. In this study, we collected data on blood antibody levels in a cohort of healthcare workers vaccinated for COVID-19 and obtained 73 antigens in samples from four groups according to the duration after vaccination, including 104 unvaccinated healthcare workers, 534 healthcare workers within 60 days after vaccination, 594 healthcare workers between 60 and 180 days after vaccination, and 141 healthcare workers over 180 days after vaccination. An efficient machine learning based framework containing four feature selection methods (least absolute shrinkage and selection operator, light gradient boosting machine, Monte Carlo feature selection, and maximum relevance minimum redundancy) and four classification algorithms (decision tree, k-nearest neighbor, random forest, and support vector machine) was designed to screen out essential antigens. Several efficient classifiers with weighted F1 value around 0.75 were constructed. This study revealed that S1+S2, S1.mFcTag, S1.HisTag, S1, S2, Spike.RBD.His.Bac, Spike.RBD.rFc, and S1.RBD.mFc were most highly ranked among all features, where S1 and S2 are the subunits of Spike, and the suffixes represent the tagging information of different recombinant proteins. Meanwhile, the classification rules were extracted from the optimal decision tree to explain quantitatively the roles of antigens in the classification. This study identified antibodies associated with decreased clinical immunity based on populations with different time spans after vaccination. These antibodies have important implications for maintaining long-term immunity to SARS-CoV-2.