Miracle-dz/UniFAR-FTUs huggingface dataset:
Dialysis Membranes for Acute Kidney Injury

Mortality and morbidity rates among critically ill septic patients having acute kidney injury (AKI) are very high, considering the total number of deaths after their admission. Inappropriate selection of the type of continuous renal replacement therapy and inadequate therapy become the immediate causes of these issues. Dialysis is a commonly used treatment intended to prolong the life of AKI patients. Dialysis membranes, which are the core of dialysis treatment, must be properly selected to ensure fair treatment to the patients. The accumulation of certain types of molecules must be dealt with using the right membrane. Whether it is low-flux, high-flux, or adsorptive type, the dialysis membrane should be chosen depending on the condition of the patients. The selection of dialysis membranes should also be based on their effect on the treatment outcomes and well-being. All these options are needed to serve the patients of different clinical settings. The use of dialysis membranes is not restricted to conventional haemodialysis, but rather they can be employed in haemoperfusion, haemofiltration, haemodiafiltration, or a combination of any two of them. This review focuses in-depth on different types of dialysis membranes, their characteristics, and approaches in addressing the issues encountered in patients having AKI with sepsis and/or multiorgan failure in intensive care units.
Establishing forewarning index evaluation model for the public relations of the staff in industries based on factor analysis method

The public relations of the staff in industries are an important part of an industry's inner public relations.To fore-control the problems arising in the relations,a scientific forewarning management system of the public relations is needed.The article selects 24 indexes to establish a system,in which the indexes are converted into 10 primary factors.Based on the primary factors,an index model is established,according to which,the strategies of public relations to smooth the relations of the staff in industries are analyzed.
Antecedents customer decision to visit Yogyakarta as special regions in Indonesia

Abstract This study aims to clarify the strategies implemented by the government in managing city branding and city image on behavioral interest and to prove the impact of intention to visit on the decision to visit. This research is explanatory research using a quantitative approach, namely conducting a survey directly to respondents using a questionnaire. The population of this study was all domestic tourists in Yogyakarta, a special area in Indonesia who were visiting and obtained a total sample of 280 respondents. Data analysis was carried out using SEM-PLS and processed through the SmartPLS application. The results show that city image has the most dominant influence on intention to visit and then to visit. Therefore, city branding must be appropriately implemented to increase intention and visit to form a positive city image. Intention to visit has proven to mediate city branding and city image on the decision to visit. The study results clarify that the decision to visit can be formed based on the intention to visit, which comes from the stimulus about city branding and city image. This research contributes to the government formulating a strategy for implementing city branding and city image to make the appearance and brand more attractive to create interest in visiting.
No evidence for trade‐offs between bird diversity, yield and water table depth on oil palm smallholdings: Implications for tropical peatland landscape restoration

1Leverhulme Centre for Anthropocene Biodiversity, Department of Biology, University of York, York, UK; 2School of Natural Sciences, Bangor University, Bangor, UK; 3Biodiversity and Natural Resources Program, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria; 4Indonesian Center for Agricultural Land Resources Research and Development, Bogor, Indonesia; 5Birdpacker, Batu, Indonesia; 6Institute of Zoology, Zoological Society of London, London, UK; 7School of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK; 8Biology Education Program, Faculty of Education and Teacher Training, Jambi University, Jambi, Indonesia; 9Department of Evolution, Ecology and Behaviour, University of Liverpool, Liverpool, UK; 10Department of Zoology, University of Oxford, Oxford, UK; 11Faculty of Agriculture, Jambi University, Jambi, Indonesia; 12Department of Environment and Geography, University of York, York, UK and 13School of Earth and Environment, University of Leeds, Leeds, UK
Biomimetic Superhydrophobic Films with an Extremely Low Roll-Off Angle Modified by F16CuPc via Two-Step Fabrication

Superhydrophobicity is the phenomenon of which the water contact angle (WCA) of droplets on a solid surface is greater than 150°. In the present paper, we prepare a superhydrophobic film with a structure similar to the surface of a lotus leaf, which is composed of polydimethylsiloxane (PDMS), zinc oxide (ZnO), a molecular sieve (MS) and 1,2,3,4,8,9,10,11,15,16,17,18,22,23,24,25-hexadecafluorophthalocyanine copper(II) (F16CuPc). The F16CuPc was used as the modifier to reduce the surface energy of the biomimetic micro-nanostructure. With the introduction of F16CuPc, the superhydrophobic properties of the surface were enhanced so that the WCA and water roll-off angle could reach 167.1° and 0.5°, respectively. Scanning electron microscopy, X-ray energy spectrometry, and X-ray photoelectron spectroscopy analyses verified that the enhanced superhydrophobic properties of the film were mainly attributed to the modification of F16CuPc. Finally, thermal, mechanical, and chemical stability studies, as well as the influences of UV and underwater immersion on the superhydrophobic film were investigated. This developed two-step fabrication method may be a potential direction for superhydrophobic surface fabrication due to its simple process, excellent superhydrophobic property, and favorable stability.
Auto Parts Logistics Network Designing Studies Based on Improved AHP Method

By designing the logistics network model based on the characteristics for auto parts business,this paper used market environment,transport and service delivery capacity as the three major factors to build a site selection evaluation system.Considering the uncertainty of the evaluation,the paper built the confirmed matrix to improve AHP method.The case of Fengshen was used to confirm the effectiveness of planning and the improvement of the methods.
Phytochemical and Pharmacological Potential of Camellia sinensis L.

Saima Rubab1,3*, Ghazala H Rizwani2, Arjumand Iqbal Durrani3, Iram Liaqat4*, Urooj Zafar5, Mahjabeen6, Farah Batool7, Noor-ESeher3, Naveera Younas3 and Ayesha Sadiqa8 1Department of Pharmacognosy, Lahore Pharmacy College, LMDC Lahore, Pakistan 2Department of Bait-Ul-Hikmah, Hamdard University, Karachi, Pakistan 3Department of Chemistry, University of Engineering and Technology, Lahore, Pakistan 4Microbiology Lab, Department of Zoology, GC University, Lahore, Pakistan 5Department of Microbiology, University of Karachi, Karachi, Pakistan 6Department of Pharmacology, Federal Urdu University of Arts and Technology, Karachi 7Institute of Pharmacy, Lahore College for Women University, Lahore, Pakistan 8Department of Chemistry, University of Lahore, 1-Km, Defence Road, Lahore, Pakistan Article Information Received 15 August 2021 Revised 21 December 2021 Accepted 03 January 2022 Available online 15 March 2022 (early access)
Validation of Protein Biomarker Candidates for Diagnosis of HBV induced HCC

Hepatocellular carcinoma is a major contributor to the global cancer burden. It affects millions of people in Pakistan on a yearly basis. Furthermore, HCC is linked to viral infections Hepatitis B and C, which account for roughly 87 percent of HCC cases in Pakistan. HCC is identified using imaging techniques such as MRI, Ultrasound, and histology, which have radiation hazards and frequently need expensive healthcare systems that are less available in most of the developing countries. Novel HCC biomarkers are being developed as part of a large research project aimed at detecting the disease early. These include the creation of biomarkers based on HCC patients' transcriptome and proteomic profiles. Circulating proteins, which are easily detected in body fluids, including blood serum, may thus provide an opportunity for the development of HCC biomarkers. Blood-based serum biomarkers must be developed for easy, non-invasive, and early detection of HCC. In conjunction with imaging techniques, alpha-fetoprotein (AFP) has been used to detect HCC, although it has little clinical usefulness. Also, the reported AFP negative results make its utility meager. Multiple circulating proteins have been studied as biomarker possibilities for HCC diagnosis in recent years. In this study, Blood serum was used to validate three novel protein biomarker candidates to detect HBV induced HCC that had previously been predicted using a bioinformatics methodology. Proteins named C6, C8A and C8B were measured in the serum of 22 HCC patients infected with HBV in Pakistani population and compared to AFP levels using quantitative ELISA. C8A possesses considerable biomarker potential, with 95.45 percent specificity and 77.27% sensitivity with 0.933 Area Under the Curve (AUC), whereas C6 and C8B showed poor biomarker potential. Hence, C8A demonstrated great promise as a circulating blood-based protein biomarker for HBV induced HCC diagnosis.
STUDY ON BOLTED ROCK MASS BY HIERARCHICAL COMPOSITE ELEMENT METHOD

The conventional basic function can not completely simulate the deformation pattern of bolted rock, which is complex and highly nonlinear. Subdivision of the mesh can solve the problem,but it makes the preprocess more difficult. Using hierarchical technique,hierarchical composite element method(CEM) is adopted for the rock mass reinforced by bolt. The basic idea is to extend the tolerant function by adding virtual nodes,to improve the numerical precision by using hierarchical basic function,and to analyze the composite elements under the generalized nodes. With basic function upgrading,the hierarchical composite element method can better simulate the complex characters of bolted rock in physical hypostasis,which makes calculation results be closer to the true ones with coarse mesh. The analytic process of hierarchical composite element method is explained;and the way to realize this method in bolted rock is introduced. The comparison of the calculation results with finite element method(FEM) and conventional CEM shows the robustness of the proposed method. It is proven that upgrading composite element method can improve the calculation results evidently with fewer meshes.
Study of Exchange Rate Volatility and Its Effect on Indonesian Economic Indicators With Potential Exchange Rate Crisis

Exchange rate volatility occurred when exchange rate movement was wildly fluctuating which could depict uncertainty. Since Indonesia used an open economy, exchange rate fluctuation became important to be maintained due to crisis potential. This research was conducted to analyze the effect or impact of exchange rate volatility on the Indonesian economy in general and few related case using time series analysis. ARIMA (Autoregressive Integrated Moving Average) and EGARCH (Exponential Generalized Autoregressive Conditional Heteroscedasticity) were used for measuring the volatility in the period between 1997-2021. Then, regressions were applied to analyze the impact of exchange rate volatility on few macroeconomic indicators. The result shows that exchange rate volatility yielded a significant negative effect on GDP Growth rate, export, and import. Logistic regression was used to analyze the factors that were affecting the crisis potential. The result showed only a negative GDP growth rate and high volatility that gave more risk which could lead to crisis. Therefore, it is important to keep exchange rate volatility stable.
CIMFNet: Cross-Layer Interaction and Multiscale Fusion Network for Semantic Segmentation of High-Resolution Remote Sensing Images

Semantic segmentation of remote sensing images has received increasing attention in recent years; however, using a single imaging modality limits the segmentation performance. Thus, digital surface models have been integrated into semantic segmentation to improve performance. Nevertheless, existing methods based on neural networks simply combine data from the two modalities, mostly neglecting the similarities and differences between multimodal features. Consequently, the complementarity between multimodal features cannot be exploited, and excess noise is introduced during feature processing. To solve these problems, we propose a multimodal fusion module to explore the similarities and differences between features from the two information modalities for adequate fusion. In addition, although downsampling operations such as pooling and striding can improve the feature representativeness, they discard spatial details and often lead to segmentation errors. Thus, we introduce hierarchical feature interactions to mitigate the adverse effects of downsampling and introduce a two-way interactive pyramid pooling module to extract multiscale context features for guiding feature fusion. Extensive experiments performed on two benchmark datasets show that the proposed network integrating our novel modules substantially outperforms state-of-the-art semantic segmentation methods. The code and results can be found at https://github.com/NIT-JJH/CIMFNet.
Are We Still a Sexist Society? Primary Socialisation and Adherence to Gender Roles in Childhood

Background: The internalisation of gender stereotypes has long-term impacts on the aspirations, opportunities and psychosocial well-being of people. The main objective of this study is to measure the adherence to gender roles among children, analysing the link between their roles’ internalisation, the family context and the socioeconomic environment. Method: During the Spring 2021, a survey was carried in Rome on children aged 8–11 through a structured questionnaire. The explanatory dimensions of the analysed topics were identified and a survey questionnaire with an ad hoc administration method were developed. Results: The results show a widespread internalisation of traditional gender roles among the respondents and differences by sex were found, since their acceptance is higher among boys for male roles and among girls for female roles. As the age increases, the adherence to male roles decreases for both boys and girls, while high levels of prosociality resulted in a lower adherence to female roles among boys. No significant relations were found with family and environmental variables. Conclusions: These findings show how the internalisation of gender stereotypes is already traceable at this age, and due to a different path of primary socialisation, boys and girls develop their gender identity consistent with social expectations. The lack of significant relations with environmental variables could be related to the age of the respondents, as the process of primary socialisation imbued with gender stereotypes still does not overlap secondary socialisation. These trends should be monitored during late childhood since at this age children are cognitively plastic, but also vulnerable and influenceable by surrounding stimuli. This research approach, especially if extended to a wider geographical scale, can provide important knowledge to support the relational well-being of children and equal opportunities of society as a whole.
Assessing Impacts of Additives on Particulate Matter and Volatile Organic Compounds Produced from the Grilling of Meat

Cooking fumes are an important source of volatile organic compounds (VOCs), particulate matter (PM), and carbonyl compounds. The additive is wildly applied in grilling meat for flavor improvement. However, the effects of additives on cooking fumes emissions, such as volatile organic compounds (VOCs), particulate matter (PM), and carbonyl compounds, in meat grilling have not been studied. The impact of four additives, including white pepper, salt, garlic powder, and compound marinade, on the emission characteristics of cooking fumes from the grilling meat was investigated. The concentrations of VOCs and carbonyl compounds in the cooking fumes were analyzed by TD-GC/MS and HPLC, respectively. The PM emission characteristics (mass concentration and size distribution) were measured by DustTrak DRX aerosol monitor in real-time. Results showed that the application of white pepper, salt, garlic powder, and mixed spices could significantly reduce the total particles mass concentration (TPM) emissions during meat-grilling by 65.07%, 47.86%, 32.87%, and 56.01%, respectively. The mass concentration of PM during meat-grilling reached maximum values ranging from 350 to 390 s and gradually fell at the final stages of grilling. The total concentration of 22 representative VOCs emitted from the grilling was significantly increased in grilling meat marinated with compound additives. Aromatic hydrocarbons were the predominant VOCs species, followed by ketone compounds. During the grilling process, formaldehyde, acetaldehyde, propionaldehyde, and acetone were major carbonyl compounds. The low molecular weight carbonyl compounds (C1–C3) in cooking fumes were dominant carbonyl compounds.
Parasitic Infections in Internationally Adopted Children: A Twelve-Year Retrospective Study

Parasitic infections (PIs) are among the most frequent infectious diseases globally. Previous studies reported discrepant results regarding the prevalence of PIs in internationally adopted children (IAC). Data from IAC referred to our paediatric university hospital in 2009–2021 were collected to evaluate the frequency of PIs by the use of stool microscopic examination, antigen assays for Giardia lamblia and Cryptosporidium parvum, and serological tests for Toxocara canis, Strongyloides stercoralis, Schistosoma mansoni, Echinococcus spp. , Taenia solium, and Trypanosoma cruzi. Uni- and multivariate logistic regression analyses were performed to evaluate risk factors for PIs and eosinophilia. The proportion of IAC with at least one positive test was 26.83% (640/2385); 2.13% (n = 51) had positive tests for 2 or 3 parasites. A positive assay for helminthic infection was retrieved in 11.07% of children (n = 264), and 17.86% (n = 426) presented with eosinophilia. The most common positive tests were anti-Toxocara canis antibodies (n = 312; 13.8%), followed by positive stool antigen for Giardia lamblia (n = 290; 12.16%), and positive microscopic stool examination for Blastocystis hominis (n = 76; 3.19%). A statistically significant association was found between PIs and region of origin (children from Latin America and Africa were more likely to present PIs than children from Eastern Europe), age 5–14 years, and eosinophilia. No significant association was observed between PIs and gender, vitamin D deficiency, or anemia. In conclusion, PIs are relevant in IAC and an accurate protocol is needed to evaluate IAC once they arrive in their adoptive country.
Role of Customer Satisfaction as a Mediator between Sensory Marketing and Customer Loyalty: A Case of Pakistani Restaurant Industry

Abstract Sensory marketing can help customers to stay longer by enjoying environment of restaurants. To find out this, the present study was conducted in restaurant industry of Pakistan. Data was collected by distributing structured questionnaire among customers of restaurants in six major cities of Pakistan. For the present study, a total of 362 respondents were selected based on their income. The sample was chosen for the present study, and a stratified sampling technique was used. Structural equation modeling was used for data analysis. The results of the present study demonstrated that customer satisfaction partially and significantly mediates relationship between sensory marketing and customer loyalty. These results supported Engel, Kollet, Blackwell (EKB) Model. Through replication of the present model in different contexts and industries in Asia and developing countries, new perspectives can be found along with finding similarities of results.
Detailed Analysis of Structure and Model Design for Construction Machinery of Mechanical Pre-Cutting Method

As the current situation that the research of pre-cutting method in China lack relevant fundamental theory and design method,based on the soil mechanics and the mechanical design method of tunnel shield,a set of design method of the pre-cutting method was put forward.Using the modular decomposition method,the function and key technology of 9 sub-structure of the pre-cutting method was analyzed.The pushing force that is needed for the chain saw to cut into the section of the tunnel and the cutting torque of the chain saw was calculated due to the similarity principles of the cutting.And the design of the model of the pre-cutting method machine was finished according to the specific geologic parameter of Beijing.The results of the model summarize the relevant key technology and provide basic theory and design reference for the future development of the pre-cutting method.
Anti-NMDA Receptor Encephalitis: Retrospective Analysis of 15 Cases, Literature Review, and Implications for Gynecologists

Background Anti-N-methyl-D-aspartate (NMDA) receptor encephalitis is a rare form of autoimmune encephalitis caused by anti-NMDA receptor antibodies. This disease mainly affects women of childbearing age and is commonly associated with ovarian teratoma. However, the relationship between anti-NMDA receptor encephalitis and ovarian teratoma and the role of anti-NMDA receptor antibody in the relationship remain unclear. Objectives This study aimed to describe 15 cases of anti-NMDA receptor encephalitis (5 with ovarian teratoma), review literature, and reinforce the gynecologist's knowledge of this disorder. Methods Clinical data of 15 patients from January 2015 to December 2020 admitted to The Second Hospital of Hebei Medical University were collected and analyzed. The diagnosis of anti-NMDA receptor encephalitis was based on the presence of anti-NMDA receptor antibodies in cerebrospinal fluid (CSF) and/or serum. Laparoscopic teratoma removal was performed in patients with ovarian teratoma. All patients had received immunotherapy. In addition, a review of the literature was performed to reinforce the gynecologist's knowledge of this disorder. Results A total of 15 patients with anti-NMDA receptor encephalitis were screened, of whom 5 patients were confirmed with ovarian teratoma by pathology. The most common symptoms of anti-NMDAR encephalitis with teratoma are fever (5/5, 100%), seizure (5/5, 100%), mental and behavioral disorders (4/5, 80%), and decreased consciousness (4/5, 80%). Conversely, the most common symptoms of patients without teratoma were neuropsychiatric symptoms, including headache (6/10, 60%) and mental and behavioral disorders (7/10, 70%). All patients underwent immunotherapy, including steroids, intravenous immunoglobulin (IVIG), plasma exchange, and cyclophosphamide, and 4 out of 5 patients with ovarian teratomas underwent surgical treatment. All patients had a good outcome after systemic, surgical, and immunotherapy treatment. No patient who underwent surgical treatment developed a recurrence. Conversely, 2 of 10 patients without teratoma developed an anti-NMDA receptor encephalitis recurrence. Conclusions Patients with anti-NMDA encephalitis show severe mental and neurological symptoms. Resection of teratoma is beneficial to the relief or disappearance of symptoms and has a good prognosis. This disorder should be fully recognized by gynecologists, who play an important role in diagnosis and treatment.