Miracle-dz/UniFAR-FTUs huggingface dataset:
Major ions behaviour during evaporation of different saline type water of Western Mongolian lakes (geochemical modelling)

The main Mongolian water resources are lakes whose volume has significantly reduced in recent years as a consequence of global warming. This article presents research on three different types of nearly disposed Western Mongolian lakes with a wide range of brines’ composition: Shaazgai-Nuur (soda), Davsan-Nuur (chloride) and Tonhil-Nuur (sulfate). The aim of this study was to determine the differences in geochemical evolution associated with evaporation-crystallization processes of representative lakes of various chemical types. The modelling was performed by using PHREEQC and HCh software that allows application of Pitzer9s approach for saline solutions. The modelling was performed for these natural objects for the first time. The model demonstrated that the evaporation-crystallization processes are different for soda and chloride/sulfate brines. Soda type lake maintained unchanged ion composition while chemical composition of chloride and sulfate lakes went through significant alterations according to a sequence of mineral precipitation. The calculated model did not confirm the possibility of long-term transformation from SO 4 -Mg brines to Cl-Mg due to evaporative concentration only; additional factors including mixing with inflow water also influence sodium and chloride increase. Close agreement between the model and the actual mineralogical data was observed, testifying to the proper software and reliability of our assumptions.
Evaluation of Extended Storage of Swine Complete Feed for Inactivation of Viral Contamination and Effect on Nutritional, Microbiological, and Toxicological Profiles

Simple Summary The extended storage of feed ingredients has been suggested as a method to mitigate the risk of viral transmission through contaminated ingredients. To validate the approach of extended storage of complete swine feed for inactivation of swine viruses, an experiment was conducted to evaluate the ability of extended storage to inactivate the porcine reproductive and respiratory syndrome virus (PRRSV), porcine epidemic diarrhea virus (PEDV), and Senecavirus A (SVA) when stored for 58 d at 23.9 °C using a self-contained intermodal shipping container. Minimal detrimental impacts were observed when storing feed for 58 d on feed quality measurements including mycotoxin detection, identification and quantification of bacteria, and stability of vitamins and phytase. No infectivity was observed for PRRSV, PEDV, or SVA following 58 d storage at 23.9 °C with the exception of a documented biocontainment breach for PRRSV. The results indicate that the extended storage of complete swine feed can be a method to reduce risks associated with pathogen transmission through feed while having minimal effects on measures of nutritional quality. Abstract The extended storage of feed ingredients has been suggested as a method to mitigate the risk of pathogen transmission through contaminated ingredients. To validate the approach of extended storage of complete swine feed for the inactivation of swine viruses, an experiment was conducted wherein swine feed was inoculated with 10 mL of 1 × 105 TCID50/mL of porcine reproductive and respiratory syndrome virus (PRRSV), porcine epidemic diarrhea virus (PEDV), and Senecavirus A (SVA) and stored for 58 d at 23.9 °C. Measures of feed quality were also evaluated at the initiation and conclusion of the storage period including screening for mycotoxins, characterization of select microbiological measures, and stability of phytase and dietary vitamins. Storing feed for 58 d under either ambient or anaerobic and temperature-controlled storage conditions did not result in substantial concerns related to microbiological profiles. Upon exposure to the feed following 58 d of storage in a swine bioassay, previously confirmed naïve pigs showed no signs of PEDV or SVA replication as detected by the PCR screening of oral fluids and serum antibody screening. Infection with SVA was documented in the positive control room through diagnostic testing through the State of Minnesota. For PRRSV, the positive control room demonstrated infection. For rooms consuming inoculated feed stored for 58 d, there was no evidence of PRRSV infection with the exception of unintentional aerosol transmission via a documented biocontainment breach. In summary, storing feed for 58 d at anaerobic and temperature-controlled environmental conditions of 23.9 °C validates that the extended storage of complete swine feed can be a method to reduce risks associated with pathogen transmission through feed while having minimal effects on measures of nutritional quality.
Penile Fracture Secondary to Gunshot Injury: A Multidisciplinary Approach and Exceptional Surgical Management in an Uncommon Case

Penile fractures happen when the tunica albuginea is forcefully torn during intense sexual activity or vigorous masturbation. Gunshot-induced cases are extremely rare. Diagnosis, often requiring surgical exploration, poses challenges due to the condition's rarity and severity. We report a complex case of a patient with multiple gunshot wounds, highlighting the need for a multidisciplinary approach for abdominal and genitourinary regions. A 24-year-old male presented to the emergency department with multiple gunshot wounds to the anterior thoracic and abdominal walls, inguinal region, penis, and lower extremities. Despite multiple gunshot wounds, the patient maintained hemodynamic stability during physical examination. No imaging study was performed since surgical management was decided due to the presence of hematemesis. During exploratory laparotomy, a 2 cm stomach lesion was found and repaired by the general surgery team. Urology then addressed genital trauma, identifying and fixing a 1 cm tunica albuginea defect in each corpora cavernosa, achieving bilateral penile fracture repair. The patient was discharged after eight days of hospitalization, with adequate oral intake and urinating. Fifty-two days later, he persists with mild erectile dysfunction (International Index of Erectile Function-5 score: 17 points). This unique case involving a gunshot-induced penile fracture alongside abdominal and several other injuries was successfully managed through a multidisciplinary approach. As these lesions are rare, prompt treatment with standardized surgical procedures for civilian cases is crucial for optimal outcomes.
Variantes genéticas em criança com pancreatite aguda recorrente: um relato de caso

Pancreatite aguda recorrente é definida por dois ou mais episódios distintos de pancreatite aguda com ausência de manifestações e alterações laboratoriais no intervalo entre os quadros. Estudos multicêntricos identificaram três principais genes associados a esses quadros: PRSS1; SPINK1 e CFTR. O presente estudo descreve o caso de uma paciente de 3 anos com duas internações por pancreatite aguda, em que a investigação etiológica identificou variações nos genes PRSS1 e CFTR. Mutações genéticas são mais prevalentes no sexo feminino e pacientes com história familiar de pancreatite. Constituem fatores de risco para desenvolvimento precoce de pancreatite crônica, além de Diabetes Mellitus e câncer de pâncreas. A pancreatite aguda recorrente causa impacto na qualidade de vida e na saúde mental, devido à dor crônica e repetidas hospitalizações. A identificação de alterações genéticas auxilia no seguimento desses quadros, previne complicações e evita a realização de procedimentos desnecessários.
Comparative Analysis and Construction of Evaluation Indexes of Civil Aviation Service Quality

Scientific and effective evaluation of civil aviation service quality is of great significance to improve customer satisfaction and the main competitiveness of civil aviation enterprises. In combination with the core ideas of the service quality model, this paper compares and analyzes the service quality evaluation process of airports and airlines from the two dimensions of service contents and evaluation indexes on the basis of literature arrangement and summary. Based on the SERVQUAL model and the "China Civil Airport Service Quality Evaluation Index System", the related contents of the system is appropriately revised combined with the characteristics of airport and airline services. To this end, the service quality evaluation indexes of airports and airlines are respectively built. The research shows that there are indeed some differences in five dimensions of evaluation indexes between airports focusing on ground services and airlines responsible for in-flight services. Only when scientific and reasonable evaluation index system for the quality of civil aviation transportation services is established for evaluation in line with the characteristics of civil aviation transportation services in the two scenarios, can the overall service level of passenger transportation in civil aviation industry be upgraded to achieve the high-quality development of civil aviation transportation industry in China.
Studying Effective Inhibitors and Facilitators on Development of Sustainable Agriculture

The purpose of present research is examining the role of effective social-economic inhibitors and facilitators on development of sustainable agriculture from viewpoint of experts of agricultural department of Tehran province. Statistical society of the present research consists of all experts of agricultural department of Tehran by having more than 210 persons; in which, total 132 simple random sampling method was selected as volume sample. The research tool is questionnaire; in which the validity of questionnaire by using comments of supervisor and advisor professor and reliability of questionnaire through Cronbach’s alpha coefficient in range of 75% to 89% and using SPSS software, version 16 was confirmed. Results of research reveal that there is positive significant relationship at sig level of 99% between economic facilitators, economic inhibitors, social inhibitors with development of consistent agriculture and also there is positive significant relationship at sig level of 95% between social facilitators, level of education with development of sustainable agriculture. Results of research show that from viewpoint of experts; the variables of economic facilitators, social facilitators and economic inhibitors have positive influence on development of sustainable agriculture.
Research on the Problems and Strategies of Live-Streaming E-commerce on the Douyin Platform in China

This paper analyzes the problems and challenges of live-streaming e-commerce on the Douyin platform in China. It focuses on product quality inconsistency, content homogeneity, and live-streaming regulation. It also suggests strategies to address these problems and challenges, such as using AI and QA to improve quality, focusing on innovation and differentiation to enhance experience, and establishing laws and standards to regulate behavior. The research significance of this paper lies in its contribution to the understanding and development of live-streaming e-commerce, a new form of online shopping that combines live video, social media, and e-commerce. Live-streaming e-commerce has become a popular and profitable business model in China, especially on the Douyin platform. By identifying and solving the problems and challenges of live-streaming e-commerce on the Douyin platform, this paper can help the platform, the live streamers, and the customers achieve better outcomes and benefits. However, this paper has some limitations, such as the lack of primary data from the participants. Therefore, future studies can use more direct and interactive methods to collect primary data from the stakeholders of live-streaming e-commerce on the Douyin platform. This can help to obtain more accurate and comprehensive information and insights.
Investigation of the impact effectiveness of adversarial data leakage attacks on the machine learning models

Machine learning solutions have been successfully applied in many aspects, so it is now important to ensure the security of the machine learning models themselves and develop appropriate solutions and approaches. In this study, we focused on adversarial attacks. The vector of this type of attack is aimed at distorting the results of machine models. In this study, we selected the IoTID20 and CIC-IoT-2023 datasets used to detect anomalous activity in IoT networks. For this data, this work examines the effectiveness of the influence of adversarial attacks based on data leakage on ML models deployed in cloud services. The results of the study highlight the importance of continually updating and developing methods for detecting and preventing cyberattacks in the field of machine learning, and application examples within the experiments demonstrate the impact of adversarial attacks on services in IoT networks.
Three dimensional (3D) printing in Orthopaedics: Scope of application and future perspectives

Three dimensional (3D) printing also known as additive manufacturing has the potential to change the paradigm of Orthopaedic practice. Modern times have witnessed exponential growth in 3D-printing technology as well as its uses. A wide spectrum of printers are now available, ranging from the desktop printer to high end manufacturing units. The ability to use a plethora of materials and create almost limitless geometric shapes with varying surface topography makes this method of production highly appealing. Certain inherent advantages include easy customizability, small production runs, less wastage of material, smaller footprint. Challenges such as lack of data, absence of established government regulations and cost considerations remain, but one can expect these to be overcome as the economy of scale plays out and the medical fraternity becomes more accommodating of the new technology. Keywords: Three dimensional printing, Recent Advances, Arthroplasty, Spine, Tumor Implants
A glacier runoff extension to the Precipitation Runoff Modeling System

A module to simulate glacier runoff, PRMSglacier, was added to PRMS (Precipitation Runoff Modeling System), a distributed‐parameter, physical‐process hydrological simulation code. The extension does not require extensive on‐glacier measurements or computational expense but still relies on physical principles over empirical relations as much as is feasible while maintaining model usability. PRMSglacier is validated on two basins in Alaska, Wolverine, and Gulkana Glacier basin, which have been studied since 1966 and have a substantial amount of data with which to test model performance over a long period of time covering a wide range of climatic and hydrologic conditions. When error in field measurements is considered, the Nash‐Sutcliffe efficiencies of streamflow are 0.87 and 0.86, the absolute bias fractions of the winter mass balance simulations are 0.10 and 0.08, and the absolute bias fractions of the summer mass balances are 0.01 and 0.03, all computed over 42 years for the Wolverine and Gulkana Glacier basins, respectively. Without taking into account measurement error, the values are still within the range achieved by the more computationally expensive codes tested over shorter time periods.
Spatial Assessment of Groundwater Quality with Special Reference to Nitrate Pollution in Raipur City, Chhattisgarh State, India using Geographical Information System

Groundwater quality is one of the most important aspects for sustainable development of social and economic life. In present study, 41 groundwater samples were collected systematically during the pre-monsoon (May 2015) and post-monsoon (December 2015) periods. Nine parameters, i.e. EC, Ca, Mg, Na, K, NO3, SO 4 , HCO 3 and Cl were analyzed in the laboratory adapting a standard protocol of APHA, 1995. The analyzed samples were compared with BIS and WHO standard for drinking purpose and spatial distribution map was prepared using Arc GIS Software. In present study, it is found that Ca, Mg, K and NO 3 are above permissible limit and SO4 is above an acceptable limits according to BIS standard. Present study reflecting that main causes of groundwater pollution in study area are anthropogenic activities.
ReviewThoughts for Food : Brain Mechanisms and Peripheral Energy Balance

The past decade has witnessed dramatic advancements regarding the neuroendocrine control of food intake and energy homeostasis and the effects of peripheral metabolic signals on the brain. The development of molecular and genetic tools to visualize and selectively manipulate components of homeostatic systems, in combination with well-established neuroanatomical, electrophysiological, behavioral, and pharmacological techniques, are beginning to provide a clearer picture of the intricate circuits and mechanisms of these complex processes. In this review, we attempt to provide some highlights of these advancements and pinpoint some of the shortcomings of the current understanding of the brain’s involvement in the regulation of daily energy homeostasis.
Comparative Analysis of ESG Indicators in Enhancing Debt Default Prediction with Transformer-derived Attention Models

This study explores the application of Transformer-derived algorithms, namely TabNet and Tab Transformer, in predicting corporate debt defaults and compares their performance with classical machine learning models. Concurrently, it assesses the efficacy of incorporating ESG indicators into the corporate debt default risk assessment framework. The research focuses on Chinese A-share listed companies from January 2018 to June 2023, comprising 23 companies with observed defaults and a control group of 846 companies with regular debt maturities. The findings indicate that although attention-based models like TabNet and Tab Transformer provide enhanced interpretability, their performance does not significantly surpass ensemble algorithms such as XGBoost. Attention-based models emphasize the importance of merging the advantages of deep learning with the interpretability of traditional algorithms, especially when dealing with vast, high-dimensional datasets. Additionally, the incorporation of ESG data did not yield a significant improvement in prediction outcomes. Potential reasons for the limited impact of ESG indicators on predictions, including data quality and the comprehensiveness of existing financial disclosures, are discussed. Given the limited sample size and constraints related to test data, future research directions suggest expanding the dataset and diversifying ESG data sources.
Unemployment in Beijing During COVID-19 and Its Impact on Economic Development

This paper focuses on the unemployment rate and economic issues brought about by COVID-19 as the main topic of the study. An in-depth comparison of the difference in unemployment rates before and after the New Crown epidemic, post COVID-19 mainly and pre COVID-19, with the public's perspective, how COVID-19 brought about the crisis. There are three main research methods used in this paper, survey research case study and content analysis. The main one is the case study, which reflects some substantial impacts through examples of what happened in reality. Through the research, it is shown that the coming of major diseases has a great impact on people's productive life, and people's unemployment rate rises as a result. The rise in unemployment has been accompanied by a greater economic crisis. At the same time, the quality of life of the people has fallen dramatically. This vicious circle is detrimental to people's interests. The main purpose of this paper is to identify the problems and find ways to solve them in order to maintain the basic interests of people's lives.
Effectiveness of omega-3 fatty acid supplementation for pruritus in patients undergoing hemodialysis

Background Patients undergoing hemodialysis (HD) frequently experience the chronic kidney disease-associated pruritus (CKD-aP). Objective The aim of this study was to investigate the effectiveness of omega-3 supplementation in the management of CKD-aP in patients undergoing hemodialysis. Methods In this triple blind, randomized clinical trial, the effect of the omega-3 supplement on uremic CKD-aP was assessed in 112 chronic hemodialysis patients at Caspian Hemodialysis Center in Rasht, Iran. Patients were randomly divided into the intervention group receiving omega-3 supplements (3 g/day) and the control group receiving placebo containing MCT oil for 2 months. Results Omega-3 supplementation had no effect on CKD-aP. The results did not change after adjusting for age and sex, additional adjustments for weight, height, physical activity, smoking, and alcohol use, additional adjustments for underlying diseases and weight, height, physical activity, smoking, and drinking alcohol, and further adjustments for underlying diseases and biochemical indices. Discussion Omega-3 supplementation for 2 months had no effect on CKD-aP in patients with CKD. Further studies with longer duration are warranted. Clinical Trial Registration https://www.irct. ir/trial/66638, IRCT20151226025699N6
Deep Learning for Multi-Output Regression Using Gradient Boosting

This paper presents a novel methodology to address multi-output regression problems through the incorporation of deep-neural networks and gradient boosting. The proposed approach involves the use of dense layers as additive models within the Gradient Boosting framework using an auto transfer learning technique. At each boosting iteration, the deep model is cloned with the already trained layers frozen, and a new dense layer is concatenated to the frozen ones. Subsequently, only the weights of the newly added layer are trained in order to reduce the complexity of the learning task. Each layer is trained on the residuals of the squared loss function from previous iterations, resulting in the creation of a robust sequentially deep-trained neural network ensemble. Our experimental results demonstrate that the proposed approach leads to a significant improvement in the performance of the deep framework, resulting in more accurate predictions and improved model interpretability.
Short-Term Load Forecasting Utilizing a Combination Model: A Brief Review

To deliver electricity to customers safely and economically, power companies encounter numerous economic and technical challenges in their operations. Power flow analysis, planning, and control of power systems stand out among these issues. Over the last several years, one of the most developing study topics in this vital and demanding discipline has been electricity short-term load forecasting (STLF). Power system dispatching, emergency analysis, power flow analysis, planning, and maintenance all require it. This study emphasizes new research on long short-term memory (LSTM) algorithms related to particle swarm optimization (PSO) inside this area of short-term load forecasting. The paper presents an in-depth overview of hybrid networks that combine LSTM and PSO and have been effectively used for STLF. In the future, the integration of LSTM and PSO in the development of comprehensive prediction methods and techniques for multi-heterogeneous models is expected to offer significant opportunities. With an increased dataset, the utilization of advanced multi-models for comprehensive power load prediction is anticipated to achieve higher accuracy.