Miracle-dz/UniFAR-FTUs huggingface dataset:
Online Domain Adaptation for Rolling Bearings Fault Diagnosis with Imbalanced Cross-Domain Data

Traditional machine learning methods rely on the training data and target data having the same feature space and data distribution. The performance may be unacceptable if there is a difference in data distribution between the training and target data, which is called cross-domain learning problem. In recent years, many domain adaptation methods have been proposed to solve this kind of problems and make much progress. However, existing domain adaptation approaches have a common assumption that the number of the data in source domain (labeled data) and target domain (unlabeled data) is matched. In this paper, the scenarios in real manufacturing site are considered, that the target domain data is much less than source domain data at the beginning, but the number of target domain data will increase as time goes by. A novel method is proposed for fault diagnosis of rolling bearing with online imbalanced cross-domain data. Finally, the proposed method which is tested on bearing dataset (CWRU) has achieved prediction accuracy of 95.89% with only 40 target samples. The results have been compared with other traditional methods. The comparisons show that the proposed online domain adaptation fault diagnosis method has achieved significant improvements. In addition, the deep transfer learning model by adaptive- network-based fuzzy inference system (ANFIS) is introduced to interpretation the results.
Effects of Inspiratory Muscle Training on Respiration and Balance in Patients with Stroke: A Pilot Randomized Controlled Trial

PURPOSE: Respiratory function can be adversely affected after a cerebrovascular accident. This study aimed to determine whether inspiratory muscle training (IMT) changes the respiration and balance abilities of patients with stroke.METHODS: Twelve patients with stroke were randomly assigned to the study (n=6) and control (n=6) groups. The study and control groups received IMT and general physical therapy, respectively for 6 weeks, five times a week for 30 min/day. Inspiratory and expiratory functions and balance were measured pre- and post-evaluation.RESULTS: After IMT intervention, the weight distribution ratio (WDR) for balance ability measurement was significantly decreased (p<.05), and the maximum inspiratory pressure (MIP), maximum inspiratory flow rate (MIFR), maximum inspiratory capacity (MIC), peak expiratory flow (PEF), forced expiratory volume in 1 second (FEV1), and limits of stability (LOS) were significantly increased in the study group (p<.05). A comparison of the study and control groups revealed statistically significant differences in MIP (p<0.01), MIFR (p<.01), MIC (p<.05), PEF (p<.05), FEV1 (p<.05), WDR (p<.01), and LOS (p<.05). CONCLUSIONS: This study suggests that IMT is a useful and effective exercise intervention for patients with stroke.
Integrating Place Attachment into Housing Recovery Simulations to Estimate Population Losses

: Following a disaster, residents of a community may be displaced from their damaged homes, leading to expensive and lengthy disruption, with many choosing to move away permanently. Population losses may hinder recovery and exacerbate inequalities across neighborhoods. This study considered household place attachment and identified groups with low place attachment along with expensive and slow postdisaster recovery. We developed a framework to integrate place attachment considerations into housing recovery simulations. We used data from the American Housing Survey to develop housing and neighborhood satisfaction models and identify the neighborhoods with the least-attached residents. A computational simulation framework was used to simulate postearthquake housing recovery for a community and assess expected costs and time frames. We used the triad of low place attachment, high cost, and slow recovery to identify households prone to permanently moving away from their communities. A case study of housing recovery after a hypothetical earthquake near San Francisco demonstrated the application of the methodology. We found that about 10% of the population in some neighborhoods are prone to moving away after a large earthquake. Households with low income, renters, and those in older buildings are most likely to have low place attachment and experience costly and slow recovery. Whereas existing approaches rely on heuristics, the approach and results in this paper provide quantitative means to assess potential population losses and inform efforts to reduce them. The framework to integrate place attachment into housing recovery simulations is versatile and employs publicly available information making it transferable to other communities. DOI: 10.1061/(ASCE) NH.1527-6996.0000571. areas contain fewer than 50 single-family residences. Lighter shades indicate areas in which residents are more prone to residential mobility.
IMPACT OF FEEDING SUGAR BEET PULP SUPPLEMENTED WITH UREA OR TREATED WITH TRICHODERMA HARZIANUMON LACTATING BUFFALOES PERFORMANCE

Nine multiparous lactating buffaloes with average body weight of 604±35 kg were served in this experiment after two weeks from parturition. They were assigned into three equal groups each of three buffaloes. These three groups were fed three tested rations in a Latin square design (3×3). The three experimental rations were; T1 (concentrate feed mixture that contained 15% wheat straw, as total mixed ration, TMR, control ration), T2(60% TMR+40% sugar beet pulp(SBP) supplemented with 2% urea) and T3(60% TMR+40% SBP treated with Trichoderma H.). Results indicated that treatment 2 (T2) increased the dry matter, organic matter and crude fiber digestibility's 4.14, 4.65 and 3.61% above T1, while the increment levels were 9.13, 9.28 and 20.89% for T3 above T1. The total digestible nutrients of the tested rations were 60.54, 66.12 and 67.92 for T1, T2 and T3, respectively. Differences were significant (P<0.01). Milk yields (7% fat corrected milk, 7%FCM) were 11.07, 11.19 and 13.55 kg/ head/ day when T1, T2 and T3 respectively were fed. The difference between T3 and either T1 or T2 was significant (P<0.01). Milk fat and protein % were increased significantly (P<0.01) when feeding T3 than feeding T1 or T2. Milk fat % was 7.52, 7.25 and 8.41While; milk protein % was 4.15, 4.31 and 4.97 when T1, T2 and T3 were fed respectively. The efficiency of kg 7% FCM / kg DMI was enhanced (P<0.01) by feeding on T2 or T3 than feeding on T1. Plasma cholesterol and triglyceride concentrations were significantly (P<0.01) decreased with feeding on T2 or T3 than feeding T1. It is concluded that feeding on 40% SBP rations supplemented was 2% urea or treated with fungi (Trichoderma H.) were beneficial. Treatment of SBP with fungi and its inclusion in lactating buffaloes ration at 40% level was the most effective treatment.
Two complete mitochondrial genomes of the barnacle Lepas anatifera Linnaeus, 1758 (Scalpellomorpha, Lepadidae) implying the possibility of cryptic speciation

Abstract The barnacle Lepas anatifera Linnaeus, 1758 (Scalpellomorpha, Lepadidae) is a worldwide distributed species. For investigating its genetic diversity in the northwest Pacific, two complete mitochondrial genomes were determined and analyzed. The lengths of the two complete mitogenomes were 15,708 bp and 15,703 bp, respectively. Both of them contained typical 37 genes with an identical order to L. anserifera Linnaeus, 1767 and L. australis Darwin, 1851 mitogenome. Except for ND1 and ND2, 11 protein-coding genes (PCGs) started with an ATN initiation codon (ATA, ATG, ATC, and ATT). Twelve PCGs were terminated with TAA or TAG stop codon, whereas ND1 possessed an incomplete termination codon (T–). Phylogenetic analysis revealed that L. australis and L. anserifera clustered together, and then with L. anatifera. The distinct genetic distances (0.17) based on concatenated sequence of 13 PCGs between the two mitogenomes of L. anatifera suggest the existence of cryptic speciation. Additional samples from multiple localities should be collected and analyzed to deepen the understanding of cryptic diversity within the northwest Pacific.
The Productivity Effects of Adopting Improved Organic Manure Practices in Nepal

Owing to farmers’ issues on accessibility and affordability of chemical fertilizers in Nepal, organic manure has been advocated as a more environmentally sustainable fertilizer input alternative. Using household survey data from Nepal, we analyze the adoption and productivity effects of improved organic manure practices. Our empirical strategy utilizes a recently developed control function approach in the endogenous switching regression model that allows for substantial heterogeneities accounting for potential self-selection problem due to observables and unobservables. Findings reinforce the crucial role of social capital as farm households’ adoption decisions are significantly influenced by 1) having adopter neighbors or friends, 2) residing in proximity to the market, and 3) gaining easy access to agricultural extension services. Beyond environmental and social considerations, this study establishes economic motivations for the adoption decision. The results show that the adoption of improved organic manure practices increased crop yield by 17 percentage points. These practices did not only result in significantly higher yields among adopting farms, but counterfactual analyses indicate that non-adopting farms would have realized much better yield conditions had they implemented the technology. The study concludes with implications for policies and initiatives to expand the adoption and impacts of improved organic manure practices in Nepal.
Age Effects on Old/New Recognition Memory Involving Abstract Figures and Non-words

Age-related memory problems posit a growing concern in our society. This study investigated the impact of age and memory strength on recognition memory of pre-experimentally unfamiliar abstract figures and non-words. We applied a three-phase old/new recognition memory paradigm and manipulated memory strength as a function of the Levels of Processing (deep vs. shallow) and repetition. Older adults relative to the young showed impairment in the correct identification of new items. As indicated by the lower discriminability indexes, the older adults also had difficulties discriminating the strongly (drawn/semantically processed) and the weakly (studied) embedded abstract figures but not the non-words. Age-related differences in reaction times were only evident with the abstract figures. Finally, our results revealed that the recognition performance was equally affected by memory strength in both age groups. The current findings agree with previous research on age-related impairment in new item recognition, which can be attributed to misrecollection and decreased sensitivity to novelty in the older adults than the young. The detected age effects on the discriminability of the drawn and studied abstract figures agree with the age-related impairment in the perceptual encoding hypothesis and support the notion related to the need for environmental support to reduce age effects. The lack of age effects with the non-words indicates that age effects on discriminability are stimulus-dependent. The current results support the notion that recognition memory in aging is only impaired under certain conditions and depends on the stimuli used.
A Pilot Randomized Controlled Trial of Botulinum Toxin Treatment Combined with Robot-Assisted Therapy, Mirror Therapy, or Active Control Treatment in Patients with Spasticity Following Stroke

Effects of the combined task-oriented trainings with botulinum toxin A (BoNT-A) injection on improving motor functions and reducing spasticity remains unclear. This study aims to investigate effects of 3 task-oriented trainings (robot-assisted therapy (RT), mirror therapy (MT), and active control treatment (AC)) in patients with stroke after BoNT-A injection. Thirty-seven patients with chronic spastic hemiplegic stroke were randomly assigned to receive RT, MT, or AC following BoNT-A injection over spastic upper extremity muscles. Each session of RT, MT, and AC was 75 min, 3 times weekly, for 8 weeks. Outcome measures were assessed at pretreatment, post-treatment, and 3-month follow-up, involving the Fugl-Meyer Assessment (FMA), Modified Ashworth Scale (MAS), Motor Activity Log (MAL), including amount of use (AOU) and quality of movement (QOM), and arm activity level. All 3 combined treatments improved FMA, MAS, and MAL. The AC induced a greater effect on QOM in MAL at the 3-month follow-up than RT or MT. All 3 combined trainings induced minimal effect on arm activity level. Our findings suggest that for patients with stroke who received BoNT-A injection over spastic UE muscles, the RT, MT, or AC UE training that followed was effective in improving motor functions, reducing spasticity, and enhancing daily function.
Quality Characteristics of Ragi (Eleucine coracana) Based Idli

Ragi a versatile staple cereal in Southern Karnataka was used in the prepn. of Idli, a fermented cereal-pulse based product. The quality of the prepd. Idlis was evaluated by physico chem., functional characteristics and acceptability of the prepd. Idlis. The degree of gelatinization was found to be higher in idlis prepd. with whole ragi and black gram dhal. The bulk d. of ragi flour was higher when compared to rice and black gram dhal indicating that the product was easily digestible and absorbable. The water absorption capacity of black gram dahl was higher and hence soft textured idlis were obtained. The texture of idlis analyzed instrumentally indicated that pre soaked whole ragi resulted in softer Idlis. The color of idlis when measured instrumentally showed that idlis prepd. with ragi flour had dark color compared to whole ragi. Incorporation of whole ragi in the prepn. of Idli did not affect the acceptability of the product as sensory scores indicated that all the products were acceptable. Thus it was evident that whole ragi could be used to replace rice in the prepn. of Idli which enhances the nutritional quality without considerable effect on the quality parameters of Idli. [on SciFinder(R)]
Dialog Act Modeling for Automatic Tagging and Recognition of Conversational Speech

We describe a statistical approach for modeling dialog acts in conversational speech, i.e., speech-act-like units such as Statement, Question, Backchannel, Agreement, Disagreement, and Apology. Our model detects and predicts dialog acts based on lexical, collocational, and prosodic cues, as well as on the discourse coherence of the dialog act sequence. The dialog model is based on treating the discourse structure of a conversation as a hidden Markov model and the individual dialog acts as observations emanating from the model states. Constraints on the likely sequence of dialog acts are modeled via a dialog act N-gram. The statistical dialog grammar is combined with word N-grams, decision trees, and neural networks modeling the idiosyncratic lexical and prosodic manifestations of each dialog act. We develop a probabilistic integration of speech recognition with dialog modeling, to improve both speech recognition and dialog act classification accuracy. Models are trained and evaluated using a large hand-labeled database of 1155 conversations from the Switchboard corpus of spontaneous human-to-human telephone speech. We achieved good dialog act labeling accuracy (65% based on errorful, automatically recognized words and prosody, and 71% based on word transcripts, compared to a chance baseline accuracy of 35% and human accuracy of 84%) and a small reduction in word recognition error.
The Effect of Family Approach Model Education and Zinc Supplementation on Pregnant Women with Chronic Energy Lack from Poor Family

BACKGROUND: Pregnant women’s health and nutritional status must be maintained because they are indicators of perinatal growth and neonatal welfare; efforts to prevent fetal growth disorders must begin with pregnant women, one of which is through increased knowledge and nutritional supplementation. AIM: This study aimed to examine the effect of family-based education and zinc supplementation on knowledge, weight, upper arm circumference, nutritional intake, serum zinc levels, insulin-like growth factor-1 (IGF-1), hemoglobin, infant anthropometry, and placenta in stunted pregnant women. MATERIALS AND METHODS: Quasi-experiment with a pre-post-test control design was carried out from September 2020 to June 1, 2021, in four areas of the Mamuju Regency City Health Center. The subject population is pregnant women aged 20–26 weeks gestation, experiencing chronic energy deficiency. RESULTS: The mean knowledge increased in the intervention group with a rate of change of 133.57%, while the control group did not experience a significant increase. Unpaired t-test showed a significant difference in the mean serum zinc, IGF-1, and hemoglobin levels with p < 0.001. CONCLUSION: Zinc supplementation is very beneficial for pregnant women, especially teenage pregnant women who have chronic energy deficiency, but the results of zinc supplementation are better accompanied by providing education based on a family approach, as a form of community support system for mothers, because family diet has a strong impact on pregnant women diet.
Integrating Social and Emotional Learning: Creating Space for Afterschool Educator Expertise

A growing movement suggests that social and emotional learning (SEL) should be integrated into educational experiences in and outside schools. Afterschool programs can be particularly well suited for SEL, and afterschool educators can play an important role in skill development. We interviewed 23 experienced afterschool educators in community-based programs to understand how staff encourage SEL and how program directors support staff in doing so. Findings show that afterschool educators describe integrating SEL into their daily interactions with children by creating and catching teachable moments. Program directors served either as compliance enforcers or partners who supported staff’s autonomy to encourage SEL despite top-down mandates. Findings suggest that educators can develop substantial expertise integrating SEL into their professional work. By recognizing and empowering such expertise, program leaders can support implementation and innovation of SEL practices. Allocating resources toward intentional integration of SEL is an important next step for this work.
Isolation and Identification of Escherichia coli and Klebsiella pneumoniae Strains Resistant to the Oxyimino-Cephalosporins and the Monobactam by Production of GES Type Extended Spectrum Bêta-Lactamase (ESBL) at Saint Camille Hospital Center in Ouagadougou, Burkina Faso

Background Bacterial resistance to beta lactamins is a real public health problem as it complicates treatment strategies. Several types of beta lactamase confer this resistance. Numerous studies report a high prevalence of ESBL producers among Gram-negative bacilli. The objective of this work was to identify the presence of the resistance gene GES in strains of E. coli and K. pneumoniae in Burkina Faso. Methods During this study 39 strains of E. coli and K. pneumoniae resistant to oxyimino-cephalosporin and monobactam were collected in several samples and analyzed to determine the presence of the beta lactamase resistance gene BlaGES by classic PCR. Results In the present study, resistant strains were observed in 21 E. coli and 18 K. pneumoniae. Among producers of ESBL isolates, the presence of the GES gene was detected up to 63% in E. coli and 37% in K pneumoniae. Conclusion This study highlighted the presence of the GES gene in strains of E. coli and K. pneumoniae resistant to oxyimino-cephalosporin and monobactam in Burkina Faso. This highlights the presence of new ESBL in Burkina, which is of great interest for the proper care of patients and the control of resistance to antibiotics.
Effects of Fixed Labial Orthodontic Appliances on Oral Functions in Arabic Speaking Children

Phoniatric Unit, ORL Department, 1Damietta Specialized Hospital, Damietta, 2Faculty of Medicine, Mansoura University, 3Department of Orthodontic, Faculty of Dentistry, Mansoura University, Egypt. ABSTRACT Background: Fixed orthodontic Appliances can change oral functions regarding chewing, swallowing, dietary habits, and speech during the early stages of orthodontic therapy. Objective: This study aimed to explore the impact of fixed labial orthodontic appliances on speech sound production and the oral phase of swallowing in Arabic-speaking Egyptian children in order to raise the patient’s awareness about the expected outcomes of this line of therapy. Patients and Methods: The study was conducted on 14 children aged 6-18 years of both genders undergoing orthodontic treatment at the Orthodontic Department, Faculty of Dentistry, Mansoura University. The study excluded children with extracted teeth, faulty oral habits related to orthodontic deformity, previous orthodontic treatment, cleft palate, neurological disorders, or delayed language development. The patients were subjected to full vocal tract examination and subjective language evaluation. Then bedside swallowing and chewing evaluation of all consistencies and speech sound evaluation were done before fixed labial orthodontic treatment, after one week and after one month. Results: Fixed labial orthodontics affected chewing as regards chewing speed, chewing duration and led to chewing discomfort and chewing sialorrhea. They also caused certain food restrictions and bad mouth odor. Swallowing evaluation parameters revealed a significant increase in the presence of oral residue with solids and semisolids. Fixed labial orthodontics affected anterior fricatives (/s/,/z/,/s/,/z/ and /ʃ,/f/), lingo-alveolars (/t/,/t/,/d/,/d/,/l/ and /n (/and bilabials (/b/ and /m/) but did not reach significance after one week and then starts to improve after one month. Conclusion: Fixed labial orthodontics affect oral functions, especially in the early stages of treatment.
Nadege: When Graph Kernels meet Network Anomaly Detection

With the continuous growing level of dynamicity, heterogeneity, and complexity of traffic data, anomaly detection remains one of the most critical tasks to ensure an efficient and flexible management of a network. Recently, driven by their empirical success in many domains, especially bioinformatics and computer vision, graph kernels have attracted increasing attention. Our work aims at investigating their discrimination power for detecting vulnerabilities and distilling traffic in the field of networking.In this paper, we propose Nadege, a new graph-based learning framework which aims at preventing anomalies from disrupting the network while providing assistance for traffic monitoring. Specifically, we design a graph kernel tailored for network profiling by leveraging propagation schemes which regularly adapt to contextual patterns. Moreover, we provide provably efficient algorithms and consider both offline and online detection policies. Finally, we demonstrate the potential of kernel-based models by conducting extensive experiments on a wide variety of network environments. Under different usage scenarios, Nadege significantly outperforms all baseline approaches.