Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancing the Decoding of Short LDPC Codes with Stochastic Sequences

Low-Density Parity-Check (LDPC) codes are one of the most popular codes used in nowadays’ communication due to their high coding efficiency at low decoding complexity. With these characteristics, LDPC codes are suitable for high-speed information transmission systems. The widely used decoding algorithm for LDPC codes is Belief Propagation (BP) decoding with which the performance of LDPC codes can approach the Shannon limit. With the development of 5G, a lot of attention is given to the so-called ultra-reliable low latency communication scenario which needs the short code to transmit. However, short codes will not have a very good performance with BP decoding. To solve this problem, investigations have been done such as multiple-bases BP decoding. Although this decoding method has a better performance than BP decoding, it will cause a high complexity in the hardware implementation. Besides, an investigation on the stochastic decoding for short codes was proposed in 2003. This decoding method is hardware friendly, but the performance of it can only approach BP decoding. Inspired by multiple-bases BP decoding and stochastic decoding, binary stochastic decoding with parallel decoders is proposed in this thesis firstly. It represents stochastic sequences with multiple parallel Tanner graphs and uses hard-decision decoding in the iterative part because of the binary input bits. However, this decoding method has a severe performance loss compared to BP decoding. To avoid this problem, the enhancement method is used to make the binary sequences be non-binary sequences that can form more powerful parallel decoders. Then the non-binary symbols of these new sequences are transformed to their corresponding log-likelihood ratio which enables the iterative part to use BP decoding. In addition, combining with the ML decision of list decoding, the decision part of our stochastic decoder can fully utilize the output to increase the efficiency of the decoding method. After ensuring the performance of our non-binary stochastic decoding to be better than BP decoding, the complexity of the decoder is reduced to save the computational resources. Finally, with constant adjustments, the bit width of each non-binary symbol is determined to be 15, and the sequence length is reduced to 20 which can let the non-binary stochastic decoding has an acceptable complexity while keeping good performance.
Psychological Effects of Eye Diseases: A Tertiary Eye Center Study

Aim: To elucidate the psychological effects of eye diseases on ophthalmic patients seen in a tertiary eye hospital in order to help eyecare professionals develop policies and counselling programs to support the mental health and care of the patients. Materials and Methods: A cross-sectional descriptive study on ophthalmic patients in a tertiary eye centre using a pretested interviewer-administered, semi-structured questionnaire. Information sought included sociodemographic, knowledge of eye diseases, fears concerning eye disease, emotional reaction to the current ocular illness and the effect of ocular health status on their quality of life. Detailed ocular examination was done. Data obtained was analysed using the Statistical Package for the Social Sciences (SPSS) version 23 software. Results: A total of 243 patients were interviewed and examined. There were 111(45.7%) males and 132(54.3%) females. Age range was 16 to 90 years (Mean age of 44.2 ± 18.1 years). Defective vision 127(52.3%) and ocular pain/discomfort 113(46.5%) were the commonest presenting symptoms; while ocular surface diseases 83(34.2%) and ametropia 55(22.6%) were the commonest diagnosis recorded. Forty (16.5%) patients were blind (presenting visual acuity ˂3/60). Fear of the loss of sight 103(42.4%), future implications of current eye disease 47(19.3%) J Psychiatry Psychiatric Disord 2021; 5 (4): 128-139 DOI: 10.26502/jppd.2572-519X0139 Journal of Psychiatry and Psychiatric Disorders 129 and inability to meet financial cost involved in care 24(9.9%) were the commonest nature of fear noted. Fears of current illness was significantly associated with blindness (P=0.005), and specific diagnoses like cataract and glaucoma (P=0.001) Respondents’ emotional reactions to their eye disease were anxiety 112(46.1%), depression 63(25.9%), anger at God or someone 21(8.6%), and no emotions 47(19.3%). None reported happiness with occurrence of their eye disease. These emotional reactions caused insomnia, anorexia, and loss of concentration in one-third of the patients. Family history of blindness was significantly associated with manifestations of insomnia, anorexia, and loss of concentration (P=0.013). Conclusion: Eye diseases are significantly associated with anxiety and depression. This is with regards to the current ocular illness and future life. Awareness of these among eyecare professionals is important to give the much-needed mental health support and care to these patients in collaboration with and referrals to mental health professionals.
Improving the Mechanical Performance of Shell Precast Concrete Blocks for Coastal Protection Structures of Hydraulic Works

Although the use of concrete and reinforced concrete for construction has been widespread, more studies are needed on marine structures exposed directly to corrosive environments to prolong their service life. This paper proposes a new type of shell precast concrete block for coastal structures, studying a beam consisting of 15mm High-Performance Glass Fiber-Reinforced Concrete (HPGFRC) at the bottom and 45mm Traditional Concrete (TC) for the rest of the structure. Steel bar reinforcements were placed at the bottom with a concrete cover of 25mm to avoid abrupt failure. The strength classes of HPGFRC and TC were 60MPa and 30MPa respectively. A reference beam consisting of TC only was also prepared for comparison. The four-point flexural bending test results showed that the first cracking strength of the proposed beam was 20% higher, as HPGFRC performed better on tension than TC. Additionally, HPGFRC's maximum strength was 25% greater than TC's. Furthermore, HPGFRC possessed more durable characteristics such as waterproof grade, abrasion resistance, and shrinkage than TC, promising to protect the reinforcement from the aggressive marine environment and corrosion, prolonging the service life of the structure.
Utility of a multidimensional recovery framework in understanding lived experiences of Chilean and Brazilian mental health service users

The understanding and application of recovery, despite its potential benefits for mental health services, is still in its incipient development in Latin America. Psychiatric reform in the region has been broadly known and discussed; yet, the recovery framework requires further exploration. Whitley and Drake (2010) suggested a recovery framework including five dimensions: clinical, existential, functional, physical, and social, offering a comprehensive perspective of the recovery process. The present study aimed to explore Chilean and Brazilian users’ perspectives on recovery identifying their endorsement of these five dimensions. Twenty-four users and six peer support workers were interviewed on their experiences with the Critical Time Intervention-Task Shifting (CTI-TS) carried out in Santiago (Chile) and in Rio de Janeiro (Brazil). Using a framework analysis approach focused on the users’ recovery process, we examined the utility of Whitley & Drake’s recovery framework in Chile and Brazil. Results showed that: 1. The framework was applicable to this population; 2. For Chilean and Brazilian users, dimensions were intertwined and influenced by salient processes (i.e., continuum of care, centrality of functioning and social life); and 3. Cultural values, stigma, and social determinants (e.g., housing, welfare) were mentioned as crucial factors affecting treatment and recovery but had not been sufficiently accounted for in the framework. A reinterpretation of the framework was proposed based on Chilean and Brazilian users’ lived experiences. Findings add to the international literature on recovery by increasing the social validity of the multidimensional framework and expanding its utility to diverse populations.
Physical and chemical properties and thermogravimetric performance of hydrogenated biodiesel

ABSTRACT The partially hydrogenated soybean methyl ester (PHSME) is produced from soybean methyl ester (SME) via catalytic transfer hydrogenation. It is revealed that after the catalytic transfer hydrogenation of SME, the high unsaturated components are selectively converted to low unsaturated or saturated components by Gas Chromatography-Mass Spectrometer (GC-MS) analysis. Although the kinematic viscosity of PHSME is increased slightly, its oxidation stability is improved significantly, and the cetane number of PHSME rises to a desirable level as well. Based on the analysis of thermogravimetry-differential scanning calorimeter (TG-DSC), it is found that PHSME has a greater average oxidation rate. In summary, the hydrogenated biodiesel has excellent ignition characteristic.
Node Query-Aided Influence Maximization in Unobservable Networks

The influence maximization (IM) problem aims at identifying a set of seed nodes in the sense of maximizing the influence spread in a network. More recently, researchers have paid attention to a more challenging IM problem where the structure of the underlying network is initially unknown. In this paper, we present IM-META, an end-to-end framework for effectively solving the IM problem in unknown networks using node queries aided by nodal metadata.
Conscientization On Dimensions Of Mathematical Beliefs Among Prospective Teachers At Secondary Level

The success of all students has an intimate relationship with good teachers and one of the main components of student’s success will depend upon the belief about the subject. The method of education must start from the life situation and reality of life and the teacher has a vital role in the development and influence of belief. The effectiveness of teaching depends upon teacher’s different types of skills, beliefs, feelings, emotions etc. Beliefs have generally been perceived through the personal experiences and interactions with immediate environmental setting. Our curriculum focuses on the aspects of cognitive development of students but the hidden aspect of teaching and learning activities is ‘belief’. This society needs the teachers who are innovative and make changes according to the needs of the students. This study focusses to explore the responses of prospective teachers towards their belief in mathematics. Many researches argued that individual’s belief influences in modification of their behaviour and ability to make decisions throughout the life by focusing on these beliefs. The purpose of study is to identify the beliefs about the nature of mathematics, beliefs about mathematics in daily life, beliefs about competence in mathematics, beliefs about mathematics teaching and learning among prospective teachers. The study adopted survey method. Sample for the study consisted of 60 prospective teachers in mathematics. The tool used for collecting the required information is Mathematical Belief Inventory consisting of four dimensions: the beliefs about the nature of mathematics, beliefs about mathematics in daily life, beliefs about mathematics teaching and learning, and beliefs about competence in mathematics. The percentage analysis reveals that prospective teachers have high beliefs that mathematics increase thinking power, includes abstract concepts, develops logical thinking, develops scientific thinking, helps in day today activities, has its own formula, symbols and rules and uses different methods in teaching and learning.
Nursing Consultation in Primary Health Care: Care for people with chronic cardiometabolic diseases

Objective: to design a nursing consultation instrument for people with high blood pressure and/or type 2 diabetes mellitus being followed up in Primary Health Care. Method: methodological study comprising two stages developed in a Basic Health Unit (UBS) in the interior of the state of São Paulo. Stage 1 was related to designing the instrument and validating its content with five judges. Stage 2 was related to pre-testing and evaluation of its measurement properties. The questionnaire was pre-tested with 30 people with high blood pressure and/or diabetes mellitus that attended the UBS. Results: the questionnaire had a high content validity index (CVI = 0,96) and moderate feasibility (considering the administration time). Conclusion: the instrument was adequate to the reality and need of primary health care in terms of content.
Zinc supplementation in neonatal bronchopulmonary dysplasia: Is it beneficial?

Background: Neonatal Broncho Pulmonary Dysplasia (BPD) is a chronic chest disease that is caused by prolonged ventilation and oxygenation, leading to sever neonatal disability. Patients and methods: Prospective Randomized Clinical Trial (RCT) study which was done at Tanta University Hospital (TUH) from July 2016 to March 2018 on 100 preterm neonates who had Respiratory Distress (RD) and were put on Mechanical Ventilation (MV). The studied neonates were divided into 2 groups: group 1, which received Zn supplementation, and group 2, which received placebo. Urinary β2-microglobulin (B2M) and serum Krebs van den Lungen-6 (KL-6) levels were estimated on the 3rd day and the10th day of presence in the hospital. Results: Significant decline in urinary B2M and serum KL-6 levels occurred in neonates of group 1 who were given Zn compared with those in group 2 neonates, who received placebo (P<0.05). There was a significant decline in the time of incubator stay in group 1 neonates, compared with that of group 2 neonates (P<0.05). Group 1 neonates showed a significant decline in the development of established cases of BPD if compared with group 2 (P<0.05). Conclusion: Zn supplementation is beneficial in the prevention of neonatal BPD.
Inhibitory Effect of Sulfated Polysaccharide from Codium edule P.C. Silva Against 2,4-Dinitrofluorobenzene (DNFB)- Induced Allergic Contact Dermatitis on Female BALB/c Mice

Purpose: Sulfated polysaccharide from Codium species has been reported for its antiinflammatoryactivities. However, the effect of sulfated polysaccharide from Codium edule on allergic responses has not been studied. The study was conducted to determine the effect ofsulfated polysaccharide (F1) from C. edule on allergic contact dermatitis (ACD) induced by2,4-dinitrofluorobenzene (DNFB) in female BALB/c mice. Methods: F1 was isolated using DEAE sepharose gel chromatography and chemically identifiedby LC-MS analyses. The effects of F1 on changes in ear thickness, allergic responses, andhistology were evaluated. The effects of F1 on the production of inflammatory cytokinesinterferon gamma (IFN-γ) and tumor necrosis factor-alpha (TNF-ɑ) in serum were also quantifiedand compared with standard prednisolone therapy. Results: F1 was identified as a heteropolysaccharide with β-D-galactans and β-L-arabinans units.F1 was non-toxic at 2000 mg/kg. Administration of F1 in DNFB-challenged mice significantlysuppressed the increase in ear thickness, erythema, desquamation, and proliferation ofinflammatory cells. F1 significantly decreased the production of inflammatory markers, IFN-γand TNF-α in a dose-dependent manner when compared to the untreated group (P < 0.05). Conclusion: Results suggest that F1 from C. edule is a bioactive sulfated heteropolysaccharidewith anti-inflammatory activity and might be a valuable candidate molecule for the treatmentof allergic diseases such as ACD.
Force-Ultrasound Fusion: Bringing Spine Robotic-US to the Next ï¿1⁄2Levelï¿1⁄2

Spine injections are commonly performed in several clinical procedures. The localization of the target vertebral level (i.e. the position of a vertebra in a spine) is typically done by back palpation or under X-ray guidance, yielding either higher chances of procedure failure or exposure to ionizing radiation. Preliminary studies have been conducted in the literature, suggesting that ultrasound imaging may be a precise and safe alternative to X-ray for spine level detection. However, ultrasound data are noisy and complicated to interpret. In this study, a robotic-ultrasound approach for automatic vertebral level detection is introduced. The method relies on the fusion of ultrasound and force data, thus providing both “tactile” and visual feedback during the procedure, which results in higher performances in presence of data corruption. A robotic arm automatically scans the volunteer’s back along the spine by using force-ultrasound data to locate vertebral levels. The occurrences of vertebral levels are visible on the force trace as peaks, which are enhanced by properly controlling the force applied by the robot on the patient back. Ultrasound data are processed with a Deep Learning method to extract a 1D signal modelling the probabilities of having a vertebra at each location along the spine. Processed force and ultrasound data are fused using both a non deep learning method and a Temporal Convolutional Network to compute the locations of the vertebral levels. The benefits of fusing force and image signals for the identification of vertebrae locations are showcased through extensive evaluation.
The Effect of Apparatus Resource Development on Performance Improvement at the Regional Secretariat of Gowa Regency

The purpose of this research paper is to determine the development of Apparatus Resources through education and training in the Gowa Regency Secretariat Office Scope viewed from the aspect of competence and motivation. The data sources in this study were obtained by giving questionnaires or questionnaires to respondents at the Gowa Regency Secretariat . The research design used in this study is a quantitative approach. The research used by the researcher is field research, namely by examining directly the object under study.The results obtained from the comparison of the value of sig. to the level of significance: sig. = 0.002 < 0.05. Because sig. < , the training variable partially (individually) has a significant effect on employee performance. the tcount value is 5.075 and the ttable value is known to be 2,000. By comparing between tcount and t - table, it is found that tcount > ttable = 5.075 > 2,000, because the value of t - count is greater than t - table, it can be concluded that the regression coefficient of the motivation variable is significant. And the results obtained from the comparison of the value of sig. with the level of significance: sig. = 0.000 < 0.05. Because sig. < , it can be concluded that H2 is accepted and H0 is rejected, meaning that the regression coefficient on the Motivation variable partially (individually) has a significant effect on Employee Performance s. The coefficient obtained by the tcount is 2.365 and the ttable value is known to be 2,000. By comparing between t - count and t - table , it is found that t-count > t - table = 2.365 > 2,000, because the value of t-count is greater than t - table.
Analysis of the Control Strategy of the Intelligent Iron Roughneck’s Make-up and Break-out Fusion with Fuzzy Adaptive Control Algorithm

The Iron roughneck is the supporting equipment of the drilling rig in the automatic drilling production. It can safely and efficiently complete the work of drilling tools such as up-and-down and tight-punching, but the up-and-down control has not yet reached full intelligence. Therefore, based on the principle of contact mechanics and tribology, this paper relies on fuzzy adaptive control algorithm to analyze the strength of the forceps and the pipe string, and the reasons for the wear of the forceps. Under the constraint conditions of friction torque meeting the requirements of up-and-shaking and not damaging the pipe string, the orthogonal design is used to analyze the influence of four factors on the equivalent friction coefficient when the clamp teeth are in contact with the outer wall of the pipe string. The up-and-down control strategy lays the theoretical foundation. The results show that the shape angle of the jaws has the greatest influence on the equivalent friction coefficient, while the influence of the crest chamfer radius is almost negligible.
Uncovering the mechanism of dynamics in metallic glass-forming liquids based on local symmetry entropy

Molecular dynamics simulations were performed to investigate the relationship of structure-dynamics in metallic glass-forming liquids. Fundamentally, it is found the degree of local symmetry plays an important role in the dynamics of glass-forming liquids. The local symmetry entropy is proposed and used for quantifying the degree of local symmetry. Local symmetry entropy is related to the rearrangements of a cage and translational diffusion. Particularly, the diffusion coefficient of metallic glass-forming liquids can be described by a local symmetry entropy scaling. Further exploration shows local symmetry entropy has a well linear correlation with two-pair entropy, suggesting that the decrease of symmetry entropy can contribute to the decrease of thermodynamic entropy in undercooled liquids in the cooling process.
Research on Management Decision Optimization Algorithm Based on Information Entropy in Cloud Computing Environment

In the cloud computing environment, information entropy is a false judgment on the composition of information and data inaccuracy and decision-making. By using information entropy to optimize the data information, under the Internet, the analysis of network user management data in the cloud computing environment can be Quickly identify clustered data objects and reorganize management data in a cloud computing environment to improve the effectiveness of management decisions.
Deflection estimation of beam structures based on the measured strain mode shape

Deflection is of great significance for evaluating the safety performance of long-span bridges, while it is difficult or expensive to be directly measured in actual projects despite numerous displacement sensors have been developed. This paper proposes a displacement reconstruction framework to obtain the dynamic deflection of beam structures using strain data. The framework defines the judgment criteria of curvature symbols and standard side first, and then stochastic subspace identification algorithm is used to calculate the strain mode shapes involved in the vibration, which solves the unclear calculation process and the need for considerable measurement points of the traditional mode superposition method. Furthermore, the displacement mode shapes and corresponding modal coordinates are obtained, and then the dynamic deflections are derived. Numerical simulations of cantilever and simply supported beams illustrate the effectiveness of the proposed framework, and the results show that the error is only 0.69% with only four strain measurement points. The two corresponding model experiments have also been carried out, and the results demonstrate that the deflection estimation error is only 0.14% with five measurement points, which further proves that the developed displacement reconstruction framework can accurately reconstruct the dynamic deflection of the beam structures.