Miracle-dz/UniFAR-FTUs huggingface dataset:
Surgical Management of Benign Gastric Tumors: A Review

Benign stomach and duodenal tumors are uncommon. Any component of the stomach epithelium, whether glandular, endocrine, or mesenchymal, can develop benign neoplastic tumors. The majority of people with benign stomach and duodenal tumors are asymptomatic for a long time. When symptoms do appear, they are determined by the tumor's size, location, and comorbidities. Endoscopy, computed tomography, and especially endoscopic ultrasonography results are used diagnose. Clinically, it's difficult to tell the difference between benign and malignant stomach tumors. Even benign tumors can undergo malignant transformation, severe obstructive problems, and bleeding. As a result, aggressive surgical resection of the tumors should be undertaken. Laparoscopic resection has become the first option of many surgeons since the development of minimally invasive surgery. According to previous literature, laparoscopic excision of GIST is safe and effective. In this review we’ll be looking at benign gastric tumors, gastrointestinal stromal tumors (GISTs) and their diagnosis.
No-load Voltage Waveform Optimization and Damper Bars Heat Reduction of Tubular Hydro-generator

Improvement of no-load voltage waveform and optimization of damper bars heat loss are important problems for designing tubular generators and ensuring operation reliability of the generators and electric network.Consequently,the no-load voltage waveforms of a 30 MW tubular hydro-generator were optimized and the damper bars heat was reduced with the design scheme by adjusting damper bar pitch and skew stator slots,and the computations were implemented and analyzed by multi-slice moving electromagnetic field-circuit coupling model of the hydro-generator and 3D temperature field finite element(FE) model of the rotor.The results show that the waveforms of the no-load voltage are improved observably and the temperature of damper bars is reduced observably when reasonably increasing damper bars pitch and skewing stator slots.The calculation results are coincident with the test data.The research is helpful for improving design standard and enhancing the operation reliability of the large hydro-generator and electric network.
Genetic algorithm used in determining the global minimum factor of safety of slopes

This paper uses the genetic algorithm approach and the upperbound method to determine the minimum factor of safety of slopes. Some examples are presented to demonstrate that the genetic algorithm approach is very helpful to search for the global minimum factor of safety. It's more efficient to combine the genetic algorithm approach with the traditional optimization techniques.
Overview of Congenital Hepatic Fibrosis in Pediatrics: A Review

Congenital hepatic fibrosis is a rare developmental illness caused by a ductal plate malformation, often known as ciliopathy or fibrocystic liver disease. Hepatosplenomegaly and portal hypertension are two symptoms. The disease affects 1/10000–20000 people. frequently associated with a variety of illnesses caused by genetic abnormalities, such as autosomal recessive polycystic kidney disease (ARPKD) and Caroli syndrome. There hasn't been a way to stop or reverse the progression of congenital hepatic fibrosis until now. Clinical trials of anti-fibrotic medicines such as colchicine, interferon gamma, angiotensin II receptor blockers, pirfenidone, and ursodeoxycholic acid found no significant benefit. The only known cure for CHF is liver transplantation, which is recommended when the condition has progressed to the point when symptoms of liver failure have appeared. In this article we will be making overview of the disease. It’s symptoms and diagnosis, different treatment method, and we will compare some of the articles published about the disease.
Assessment of Glycemic Control, Renal Function, and Oxidative Stress Parameters in Type 2 Diabetes MellitusPatients

Diabetes mellitus (T2DM) is a multifactorial syndrome that israpidly rising in all the continents ofthe globe, causing elevated blood sugar levels in affected people. A sample of 81 Iraqi T2DM patients was investigated based on several parameters. Glycemic control parameters includedlevels of fasting blood glucose (FBG),glycated hemoglobin (HbA1C), and insulin, along with insulin resistance (IR) and insulin sensitivity (IS). Renal function tests includedmeasuring the blood levels of urea and creatinine. Oxidative stress parameters included total antioxidant capacity (TAC) and thelevel of reactive oxygen species (ROS). The results of the presentstudy showed a highly significant (P˂0.01) increase in FBG, HbA1c, insulin and IR levels in T2DM patients as compared to control.Insulin sensitivity showed a highly significant (p˂0.01) decrease in patients compared with control.Urea and creatinine levelsincreased in T2DM patients, but the differences were insignificant. TAC levelsignificantly (P<0.05) increased in patients compared with control. Also, the levels of ROSrevealed a highly significant (P<0.01) increasein T2DM patients compared with the control. Correlation analysis showedthat FBG has a highly significant (P<0.01) positive correlation with IR, urea, creatinine and ROS, as well as a significant (P<0.05) positive correlation with TAC. However, FBG shows a highlysignificant (P< 0.01) inverse correlation with IS. The levels of HbA1C show a significant (P<0.05) positive correlation with IR, creatinine, and TAC, whereas ithas a highly significant (P<0.01) positive relation with ROS. However, HbA1C level has a highly significant (P<0.01) inverse relation with IS. Insulin has highly significant (P<0.01) positive and negative associations with IR and IS, respectively.IR showshighlya significant (P<0.01) inverse correlation with IS, significant (P<0.05) positive correlation with creatinine, and highly significant (P<0.01) positive correlation with ROS. IS has a significant(P< 0.05) inverse correlation with urea. Urea shows a highly significant (P<0.01) positive correlation with creatinine. TAC has a significant (P<0.05) inverse correlation with ROS. Conclusion: diabetic patients revealed poor glycemic control. Fluctuating blood glucose concentrations may contribute significantly to oxidative stress, probablyeven more than chronic hyperglycemia. The observed significant positive correlation between FBG and the other tested parameters revealed that hyperglycemia is an obvious independent risk factor for T2DM progression.
Optimization of Ultra-wideband Radio Antenna

A new ultra-wideband radio antenna is designed for the match of ultra-wideband fuze transmitter with antenna bandwidth and power. The feeding point and opening angle of triangular symmetrical dipole antenna are optimized by CST. The results show that the best feeding point of the ultra triangular symmetrical dipole antenna is at the top,and the best opening angle is 60°. The time domain analysis is more suitable for the simulation and optimization of radio antenna by analyzing the voltage standing wave ratio( VSWR),antenna bandwidth,antenna gain and radiation signal amplitude of ultra-wideband radio antenna.
An analysis of the effects of supply chain risk management on resilience to economic risk. A case of Pharmaceutical retailers in Zimbabwe

This study has analysed of supply chain risk management on resilience to economic risk in pharmaceutical retailers in Zimbabwe. A mixed method research approach was adopted in the form of descriptive research design and data was collected using questionnaires and interviews. The IBM SPSS version 16 software was used to analyse quantitative data whilst thematic analysis was used to analyse qualitative data. A total of 100 questionnaires were sent to pharmaceutical retailing firms and 92 questionnaires were completed and returned to the researcher on time and were used for data analysis. Face to face interviews were successfully conducted with 10 key informants in pharmaceutical retailing firms. The findings of the study show that supply chain risk management had a significant positive effect on resilience to economic risks. The study concluded that supply chain risk management helps pharmaceutical retailers to be resilient to economic risks. Therefore, it was recommended that pharmaceutical retailers must adopt supply chain risk management strategies such as risk identification, risk planning, risk avoidance and risk pooling in order to be resilient to
An Approach for the Development of National Information Security Policies

The security of the cyberspace is both a national and an international issue concerned with different levels including: people, enterprises, and governments. It is also associated with different activities including: technical, economic, social and political. As a result, interest in the development of sound national information security policies is becoming of increasing importance. This paper aims at providing a comprehensive approach for this development. For this purpose, the paper is divided into two main parts: the first reviews key related issues in order to establish the necessary background for the work; while the second describes the target approach. The approach has four main dimensions: a structured scope that integrates all the issues concerned; a development process that deals with responding to security requirements on continuous basis; security measures and standards for assessments and benchmarking; in addition to past experience and knowledge sharing for improvements. It is hoped that the approach will become a base for the development and continuous improvement of a national information security policies, not only for Saudi Arabia, but also for other countries in different parts of the world.
Adoption of Protected geographical Indication (PGI) for Kenyan Tea

Product recognition is one of the key issues that aid in promoting and protecting its reputation based on the attributable properties possessed by the product. The geographical indication is a pillar that has been developed to protect the uniqueness of these products (its production, know-how and origin). In Africa, full appreciation of GIs has not been achieved, this is due to lack of knowledge of intellectual property rights, their benefits, frameworks, how to register and protect these products, few products, including the Taita basket, have been registered, but most of the products have the potential to be registered as GI, including sweet potatoes from Gabon, cassava from Ghana, coffee from Kilimanjaro (Musungu 2008). Most African farmers still use traditional methods to cultivate, process and preserve different products. In Kenya, legal protection of products is provided by trademarks, but this system does not protect or increase the value of the products in the market. This case study identifies tea from Kenya, which has been marked as to having a unique taste and quality, based on the agro-geo-climatic situations of the region and also the know-how skills possessed by Kenyan tea farmers. It then discusses the possibility of registering Kenyan Tea using European Quality System as a strategy and its role to Kenyan tea growers. Keywords— Geographical Indications, Marketing strategy, Quality marks, Protected Geographical
Study on the Dynamic Positioning of Dredgers Backstepping Control Based on Torque Compensation

In order to deal with the control difficulties of the dredger’s dynamic positioning system under large dredging forces reaction, an method combining backstepping and feed-forward compensation is proposed to use in dredgers’ dynamic positioning system. Dredging forces can be feed-forward compensated by sensors, and the backstepping controller guarantees the globally asymptotical stability of the closed-loop system, and output asymptotic track to desired trajectory. Simulation results show that the proposed controller has desired position tracking transient performance and robustness to the large dredging force disturbances.
KEY-CUMULATIVE CRYPTOSYSTEM FOR ACCESSIBLE DATA DISTRIBUTION IN CLOUD STORAGE

: Data sharing being important functionality in cloud storage implements how to securely, efficiently, and flexibly share data with others. The public-key cryptosystems produce constant-size cipher texts that efficiently delegates the decryption rights for any set of cipher texts. The importance is that one can aggregate any set of secret keys and make them as compact as a single key, but encompassing the power of all the keys being aggregated. The secret key holder can release a constant-size aggregate key for flexible choices of cipher text set in cloud storage, but the other encrypted files outside the set remain confidential. The aggregate key can be conveniently sent to others or be stored in a smart card with very limited secure storage. In this paper we present the work done by different authors in this field.
Design and simulation of aircraft typical track model for air attacking

In order to simulate dots data of the air-attacking aircraft received by radar effectively and realistically,reappear the changing of the aircraft track,and provide nearly actual battlefield environment for the radar operator,we built up three typical track models of the air target,beeline,arc and fold line,and used the electronic map and military tabs provided by Geography Information System(GIS) for simulation.We used"taking one at an interval of three"method to solve the real-time problem of network translating of the track parameter.Taking the formation of four aircrafts as example,we presented the method for real-time track parameter recording and the solution of the mirror changing of the aircraft.The methods of time superposition and recursive calculation were used for displaying the moving target track in real time,which satisfied the simulation requirement.Practice proves that the model is simple,operable,and suitable for simulation implementation of the air target module in the middle/small Radar Countermine Training-Simulation System(RCTSS).
Effect of salicylic acid on salt tolerance of Aloe vera plants under both salt-acclimated and non-acclimated conditions

Since the role of salicylic acid (SA) in Aloe vera plants under salt stress is not yet clarified, this experiment was conducted to investigate the role of SA (100 and 500 μM) in photosynthesis, antioxidative capacity and ion homeostasis in salt acclimated (EC 5 dS/m) and non-acclimated Aloe plants against subsequent salt stress (EC 21 dS/m). Salinity exerted an adverse effect on the leaf dry weight, whereas foliar spray of 100 μM SA mitigated the salt-induced inhibitory effects on the plant growth, especially under acclimated conditions. While salt stress caused a significant increase in Na accumulation and a considerable decrease in K and Ca, higher levels of K/Na ratio were observed after SA treatment. SA application (100 μM) also alleviated the damage to PSII function induced by salt, contributing to the improvement of electron trapping under salinity. Furthermore, Aloe plants exposed to EC 21 dS/m exhibited an oxidative damage, determined by increased content of oxidants (hydrogen peroxide and malondialdehyde). In contrast, foliar spray of 100 μM SA increased CAT activity as well as carotenoids content, whereas reduced content of oxidants under salt stress. Consequently, under both salt-acclimated and non-acclimated conditions, SA at concentration of 100 μM was more effective in alleviation of salt stress in Aloe plants via the enhancement of photochemical activity of photosynthesis, the activities of antioxidant enzymes and the ratio of K and Na
A JAVA Based System for Evaluating Educational Skills

Evaluation processes related to the quality of the education in the Uni-versities have become really relevant for the institutions and Governments recently. Often, these processes are carried out by means of surveys where the students are forced to provide their opinions using a numerical scale, although the evaluated aspects may be vague imprecise or their nature qualitative. Here, we present a JAVA based system that automatizes these evaluation processes and oﬁers a greater (cid:176)exi-bility to express the opinions because it is based on a decision model that oﬁers the possibility to provide them by means of heterogeneous information [5, 10] (numerical, linguistic and interval-valued) according to the nature and the uncertainty of the aspect qualiﬂed. The evaluations obtained by the system regarding the quality are expressed in a linguistic way using the 2-tuple linguistic representation model [6] to facilitate an easy understanding of the results.
Moral psychology from the lab to the wild: Relief registries as a paradigm for studying real-world altruism

Experimental psychology’s recent shift toward low-effort, high-volume methods (e.g., self-reports, online studies) and away from the more effortful study of naturalistic behavior raises concerns about the ecological validity of findings from these fields, concerns that have become particularly apparent in the field of moral psychology. To help address these concerns, we introduce a method allowing researchers to investigate an important, widespread form of altruistic behavior–charitable donations–in a manner balancing competing concerns about internal validity, ecological validity, and ease of implementation: relief registries, which leverage existing online gift registry platforms to allow research subjects to choose among highly needed donation items to ship directly to charitable organizations. Here, we demonstrate the use of relief registries in two experiments exploring the ecological validity of the finding from our own research that people are more willing to help others after having imagined themselves doing so. In this way, we sought to provide a blueprint for researchers seeking to enhance the ecological validity of their own research in a narrow sense (i.e., by using the relief registry method we introduce) and in broader terms by adapting methods that take advantage of modern technology to directly impact others’ lives outside the lab.
Parameter Box: High Performance Parameter Servers for Efficient Distributed Deep Neural Network Training

Most work in the deep learning systems community has focused on faster inference, but arriving at a trained model requires lengthy experiments. Accelerating training lets developers iterate faster and come up with better models. DNN training is often seen as a compute-bound problem, best done in a single large compute node with many GPUs. As DNNs get bigger, training requires going distributed. Distributed deep neural network (DDNN) training constitutes an important workload on the cloud. Larger DNN models and faster compute engines shift the training performance bottleneck from computation to communication. Our experiments show existing DNN training frameworks do not scale in a typical cloud environment due to insufficient bandwidth and inefficient parameter server software stacks.We propose PBox, a balanced, scalable central PS hardware that balances compute and communication resources, and PHub, a high performance parameter server (PS) software design that provides an optimized network stack and a streamlined gradient processing pipeline to benefit common PS setups to utilize PBox. We show that in a typical cloud environment, PBox can achieve up to 3.8x speedup over state-of-the-art designs when training ImageNet. We discuss future directions of integrating PBox with programmable switches for in-network aggregation during training, leveraging the datacenter network topology to reduce bandwidth usage and localize data movement.
Time-Resolved Imaging of Femtosecond Laser-Induced Plasma Expansion in a Nitrogen Microjet

We report on the study of ultrafast laser-induced plasma expansion dynamics in a gas microjet. To this purpose, we focused femtosecond laser pulses on a nitrogen jet produced through a homemade De Laval micronozzle. The laser excitation leads to plasma excitation with a characteristic spectral line emission at 391 nm. By following the emitted signal with a detection system based on an Intensified Charge-Coupled Device (ICCD) we captured the two-dimensional spatial evolution of the photo-excited nitrogen ions with a temporal resolution on the nanosecond time scale. We fabricated the micronozzle on fused silica substrate by femtosecond laser micromachining. This technique enables high accuracy and three-dimensional capabilities, thus providing an ideal platform for developing glass-based microfluidic structures for application to plasma physics and ultrafast spectroscopy.
Impact of online simulators on primary school children’s visual memory development

Modern society needs thoroughly developed individuals ready to enrich material and spiritual culture of community. Therefore, the creation of favorable conditions for maximal revealing and development of learner’s abilities, growth of one’s individuality and prospects for self-realization is increasingly becoming of great importance. It is memory that plays the leading role in this process. Memory is a very complex process that includes getting, keeping and repetitive using of information. Memory lies at the heart of human abilities and it preconditions learning, acquiring of knowledge, formation of skills and abilities. Development of visual memory is one of the most actual problems considering the fact that the students at school are given a great amount of new information and not much attention is paid to the development of ability to memorize information. Organizing purposeful work on memory development is a crucial task. The basic task of memory development is the development of school children’s visual memory. It considerably helps to increase education quality to fulfill the main tasks of education. In this regard there is a need to look for effective means for visual memory development. The purpose of this study is to reveal effectiveness of online simulators in the process of primary school children’s visual memory development. In the course of the study the following methods were used: theoretical analysis of pedagogical and methodological literature; methods of checking and diagnostics (tests, observation); pedagogical experiment that helped to show effectiveness of online simulators in the development of primary school children’s visual memory.
PERFORMANCE ENHANCEMENT OF LEACH PROTOCOL IN WIRELESS SENSOR NETWORK IN TERMS OF NETWORK LIFE TIME

: Wireless sensor nodes are made up of small electronic device, which can sense, processing, computing and transmitting data from physical environment like surveillance field. These nodes basically depend on batteries for energy, which get reduces at a faster rate because of computation and communication operations which they have to perform. Communication protocols can be designed to make utilization of energy resources of a sensor node and is to be obtaining real time functionality. In this thesis, I proposed a new modified enhanced Leach Algorithm in which threshold value is calculated for next round and consider the total node energy of the network. A comparison between traditional leach and proposed Leach is done on the basis of the network lifetime. The implementation of the protocol is done by using MATLAB.