Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of wood modification with polyethylene glycol and various carboxylic acids on the dimensional stability of beech wood (Fagus sylvatica)

ABSTRACT The goal of this study was the fixation of water-soluble polyethylene glycol (PEG) into the wooden cell wall. The dimensional stability of beech wood (Fagus sylvatica) modified with PEG400 and various carboxylic acids (1,2,3,4-butanetetracarboxylic acid (BTCA), citric acid (CA), malic acid, pyromellitic acid, tartaric acid, L-glutamic acid hydrochloride, ethylene diamine tetraacetic acid disodium salt dihydrate, trans-aconitic acid, maleic acid and itaconic acid) was examined. Investigations of anti-swelling efficiency (ASE), weight-percent gain (WPG) and bulking effect were made. Both the highest dimensional stabilization (values of ASE at the end of examination between 37 and 40%) and the best fixation of the chemicals in the wood (total loss of WPG between 37 and 38%) were achieved with combinations of BTCA/PEG and CA/PEG. The variants impregnated without PEG had lower bulking values. Successful modification of wood seems to be possible with BTCA, CA and malic acid in combination with PEG400.
Effects of the Jigsaw method on student educational outcomes: systematic review and meta-analyses

Introduction Cooperative learning methods are particularly interesting for building more inclusive schools; however, they have not been widely implemented. Among cooperative learning methods, the Jigsaw strategy is attractive for teachers, as it seems to be easy to implement and follow its four-step teaching structure; in addition, this method is believed to improve students' socialization and learning. To identify the effects of the Jigsaw method accurately, a systematic review of studies that have tested the effects of this method on important student educational outcomes was proposed and completed using a meta-analytical approach. Methods A total of 69 Jigsaw studies were analyzed, and three major outcomes were retained following inductive and deductive thematic analyses: learning (including achievement and motivation), social relations, and self- esteem (including academic self-esteem and social self-esteem). When possible, complementary meta-analyses were conducted to quantify the Jigsaw effects on achievement (n = 43), motivation (n = 5), social relations (n = 4), and academic self-esteem (n = 4). Results The primary results of our review focused on the inconsistency of Jigsaw effects and the high degree of variability among studies with regard to all retained student educational outcomes (i.e., achievement, motivation, social relations, and academic self-esteem) with the exception of social self-esteem, for which only three studies concluded that the Jigsaw method had positive effects. Moreover, homogeneous results were observed within studies. Our review highlights several factors that may explain this variability among studies: the sample size, the diversity of students in the classroom, and the type of content taught. Discussion The moderating roles of these factors must be tested empirically, as they suggest ways of implementing the Jigsaw method more efficiently.
A Variable Photo-Model Method for Object Pose and Size Estimation with Stereo Vision in a Complex Home Scene

Model-based stereo vision methods can estimate the 6D poses of rigid objects. They can help robots to achieve a target grip in complex home environments. This study presents a novel approach, called the variable photo-model method, to estimate the pose and size of an unknown object using a single photo of the same category. By employing a pre-trained You Only Look Once (YOLO) v4 weight for object detection and 2D model generation in the photo, the method converts the segmented 2D photo-model into 3D flat photo-models assuming different sizes and poses. Through perspective projection and model matching, the method finds the best match between the model and the actual object in the captured stereo images. The matching fitness function is optimized using a genetic algorithm (GA). Unlike data-driven approaches, this approach does not require multiple photos or pre-training time for single object pose recognition, making it more versatile. Indoor experiments demonstrate the effectiveness of the variable photo-model method in estimating the pose and size of the target objects within the same class. The findings of this study have practical implications for object detection prior to robotic grasping, particularly due to its ease of application and the limited data required.
Bacteriological Profile and Antibiogram of Blood Culture Isolates from Septicaemic Neonates and Children up to 10 Years of Age, in a Tertiary Care Centre of Eastern Bihar in India

BACKGROUND This study was an attempt to find the association of physical parameters, risk factors, common signs & symptoms of septicaemia, analyse the distribution of microorganisms isolated from clinically suspected cases of septicaemia, and collect their antibiogram. We also wanted to evaluate the haematological findings in conventional culture, correlate them to the sensitivity and specificity, and quantitatively identify the relevance of these haematological tests through their positive and negative predictive values. METHODS A total of 350 blood samples were received from patients with clinically suspected cases of blood stream infections (BSI) at the Department of Microbiology for routine culture & sensitivity and were processed using standard microbiological techniques to determine the percentage distribution of bacterial pathogens causing BSI and their antibiotic susceptibility patterns. Mueller-Hinton agar (MHA) with 4 % NaCl was used to detect methicillin resistance. RESULTS Of the 350 septicaemic cases, 58.8 % were from neonatal ICU and 41.2 % were from paediatric wards. Maximum culture positivity (45.3 %) was seen in < 28 days age group. Bacterial growth was seen in 62.0 % preterm babies. Probability of sepsis was more with leukopenia (85.4 %) as compared to leucocytosis (68.9 %); positive C-reactive protein (CRP) findings (63.8 %) were more likely to be associated with sepsis as compared to negative CRP findings (2.1 %). Leukopenia (97.5 %) and leucocytosis (96.3 %) had the highest specificity values. CONCLUSIONS Low birth weight (LBW) neonates, preterm birth and Caesarean section deliveries are risk factors that predispose neonates to septicaemia. Meropenem can be used in septaemia, but it should be reserved for critical cases, particularly those with multidrug resistant (MDR) bacteria, rather than on routine basis to prevent inadvertent promotion of bacterial resistance. This study showed that leukopenia and CRP are good indicators of sepsis, when used in combination. KEYWORDS Blood Stream Infection, Early Onset Septicemia, Late Onset Septicemia
Assessment of ESG practices in banks listed in [B]³

We sought to analyze whether the corporate governance characteristics of the Board of Directors (BoD), the capital structure, and the economic and financial performance of the firms influence the adoption of Environmental, Social, and Governance Policies (ESG) by banking institutions listed on the Brasil Bolsa Balcão [B]3. To this end, 24 banks listed in [B]3 were analyzed, via annual data made available from 2013 to 2020, in the Thomson Reuters® database and on the [[B]3 website, mainly through the analysis of Reference Forms of the institutions studied. To analyze the results, the Tobit regression model was estimated, using as a dependent variable the ‘assessment of ESG practices’, measured by an index ranging from 0 (for firms without ESG practices and/or without ESG assessment in the Refinitiv® database) to 100 (firms with best ESG practices) and, for independent variables, characterizations of banking firms and BoD, capital structure, and economic-financial performance indicators were used. Based on the results, it was noted that the size of the banks and the gender diversity of the BoD presented positive and significant statistics, demonstrating that larger banks with more women on the board tend to maintain ESG best practices. On the other hand, negative and significant statistical relationships were observed between the issuance of American Depositary Receive (ADRs), the number of independent Board members, and Board Interlocking (B.I.) practices and ESG best practices. However, the study contributes to the literature with the understanding of ESG events of Brazilian banks and with the regulatory demands of the Central Bank of Brazil as a result of the rules with requirements of Social and Environmental Responsibility by the regulatory body, as well as with the demands of stakeholders and the market for best ESG practices of banks.
DNA Barcoding of Dendrobium moschatum (Banks) Sw. Specimen from Makawanpur, Central Nepal

The genus Dendrobium, with sparse distribution in nature, is one of the largest genera of Orchidaceae. DNA barcoding could be the best option for rapid and accurate identification of the Dendrobium species. The objective of the present study is to delineate the Dendrobium species using DNA barcoding technology. Here, we used a specimen of Dendrobium sp. collected from Brindaban Botanical Garden, Makawanpur (540 m asl) as a test object. We amplified and sequenced three chloroplast loci, rbcL (Ribulose-1,5- bisphosphate carboxylase), matK (Maturase K) and psbA-trnH (intergenic spacer) from the specimen. We retrieved twelve accessions of plastome sequences from NCBI, representing six Dendrobium species (D. candidum, D. crepidatum, D. chrysanthum, D. denneanum, D. fimbriatum and D. moschatum) reported in Nepal. Similarly, one accession of plastome of Bulbophyllum epiphytum was also retrieved, to be used as an out-group. Respective aligned sequences of rbcL, matK and psbA-trnH were extracted from each accession. Evolutionary analysis was performed following the Maximum Likelihood approach using MEGA X. The result showed that the evolutionary tree generated with combined sequences of all three loci (rbcL, matK and psbA-trnH) was better compared to that generated with sequence of single locus. However, additional markers are required for higher accuracy.
Lubricant Rheological Behavior Effect Analysis on the Performance of
 Finite Porous Self- Lubricating Journal Bearings

In this paper, the hydrodynamic lubrication of finite porous self-lubricating journal bearings is investigated taking into account the rheological lubricant behavior effect. The modified Reynolds equation is derived by considering both the fluid flow in the porous matrix and the lubricant rheological behavior where Darcy’s law and powerlaw model were used. Governing differential equations were solved numerically using the finite difference method. Static characteristics are obtained by considering three types of lubricants: pseudo-plastic, dilatant and Newtonian fluids. Obtained results showed that the power law index, n, has important effects on the performance of porous and non-porous bearings. An improvement in the fluid bearing characteristics (load capacity, pressure) is observed for dilatant fluids (n>1) while these characteristics decreased for pseudoplastic fluids (n<1). The permeability of the porous structure has significant effects on the performance of porous journal bearings of finite length, particularly at higher eccentricity ratios. Good agreement is observed between the results obtained in this study and those of literature revue.
Program Chairs’ Report on Peer Review at ACL 2023

We present a summary of the efforts to improve conference peer review that were implemented at ACL’23. This includes work with the goal of improving review quality, clearer workﬂow and decision support for the area chairs, as well as our efforts to improve paper-reviewer matching for various kinds of non-mainstream NLP work, and improve the overall incentives for all participants of the peer review process. We present analysis of the factors affecting peer review, identify the most problematic issues that the authors complained about, and provide suggestions for the future chairs. We hope that publishing such reports would (a) improve transparency in decision-making, (b) help the people new to the ﬁeld to understand how the *ACL conferences work, (c) provide useful data for the future chairs and workshop organizers, and also academic work on peer review, and (d) provide useful context for the ﬁnal program, as a source of information for meta-research on the structure and trajectory of the ﬁeld of NLP.
A Review of Fake News Detection Models: Highlighting the Factors Affecting Model Performance and the Prominent Techniques Used

—In recent times, social media has become the primary way people get news about what is happening in the world. Fake news surfaces on social media every day. Fake news on social media has harmed several domains, including politics, the economy, and health. Additionally, it has negatively affected society's stability. There are still certain limitations and challenges even though numerous studies have offered useful models for identifying fake news in social networks using many techniques. Moreover, the accuracy of detection models is still notably poor given we deal with a critical topic. Despite many review articles, most previously concentrated on certain and repeated sections of fake news detection models. For instance, the majority of reviews in this discipline only mentioned datasets or categorized them according to labels, content, and domain. Since the majority of detection models are built using a supervised learning method, it has not been investigated how the limitations of these datasets affect detection models. This review article highlights the most significant components of the fake news detection model and the main challenges it faces. Data augmentation, feature extraction, and data fusion are some of the approaches explored in this review to improve detection accuracy. Moreover, it discusses the most prominent techniques used in detection models and their main advantages and disadvantages. This review aims to help other researchers improve fake news detection models.
Investigation on Novel E/Z 2-Benzylideneindan-1-One-Based Photoswitches with AChE and MAO-B Dual Inhibitory Activity

The multitarget therapeutic strategy, as opposed to the more traditional ‘one disease-one target-one drug’, may hold promise in treating multifactorial neurodegenerative syndromes, such as Alzheimer’s disease (AD) and related dementias. Recently, combining a photopharmacology approach with the multitarget-directed ligand (MTDL) design strategy, we disclosed a novel donepezil-like compound, namely 2-(4-((diethylamino)methyl)benzylidene)-5-methoxy-2,3-dihydro-1H-inden-1-one (1a), which in the E isomeric form (and about tenfold less in the UV-B photo-induced isomer Z) showed the best activity as dual inhibitor of the AD-related targets acetylcholinesterase (AChE) and monoamine oxidase B (MAO-B). Herein, we investigated further photoisomerizable 2-benzylideneindan-1-one analogs 1b–h with the unconjugated tertiary amino moiety bearing alkyls of different bulkiness and lipophilicity. For each compound, the thermal stable E geometric isomer, along with the E/Z mixture as produced by UV-B light irradiation in the photostationary state (PSS, 75% Z), was investigated for the inhibition of human ChEs and MAOs. The pure E-isomer of the N-benzyl(ethyl)amino analog 1h achieved low nanomolar AChE and high nanomolar MAO-B inhibition potencies (IC50s 39 and 355 nM, respectively), whereas photoisomerization to the Z isomer (75% Z in the PSS mixture) resulted in a decrease (about 30%) of AChE inhibitory potency, and not in the MAO-B one. Molecular docking studies were performed to rationalize the different E/Z selectivity of 1h toward the two target enzymes.
Integrase Interactor 1 (INI1) Deficiency in a Lung Cancer Patient Presents Nonresponse to Immunotherapy and Tazemetostat: A Case Report

Integrase interactor 1 (INI1)-deficient lung cancer is extremely rare, often with poor prognosis, and lacks effective treatment. Previous studies have reported the efficacy of immunotherapy and enhancer of the zeste homolog 2 (EZH2) inhibitor tazemetostat in various types of INI1-deficient tumors, such as sarcomas. However, the effectiveness of these treatments in INI1-deficient lung cancer has not yet been verified. We hereby report a case of a patient who was diagnosed with advanced squamous lung cancer with INI1 deficiency and received chemotherapy, immunotherapy, and tazemetostat treatments successively. The patient showed optimal response in the initial chemotherapy combined with anti-programmed cell death protein 1 (PD-1) immunotherapy, made rapid progress in the subsequent stage of maintenance immunotherapy, and showed nonresponse to tazemetostat. To the best of our knowledge, this is the first case of a lung cancer patient with INI1 deficiency who received tazemetostat treatment.
Understanding the Limitations of Drug Test Information, Reporting, and Testing Practices in Fatal Crashes

Since 1975, the National Highway Traffic Safety Administration (NHTSA) has collected data from all 50 States, the District of Columbia, and Puerto Rico on all police-reported fatal crashes on public roadways. NHTSA’s National Center for Statistics and Analysis (NCSA) includes data from these fatal crashes in the Fatality Analysis Reporting System (FARS). This dataset provides a wealth of information on fatal crashes, the roadways, vehicles, and drivers involved. “Impaired driving” includes use of alcohol, or drugs, or both. Blood alcohol concentration (BAC) results are not known for all drivers in fatal crashes. For crashes with missing alcohol data, NHTSA uses a statistical model called “multiple imputation” to estimate the BAC of a driver at the time of the crash. In contrast, the variables regarding drug test information in crashes is evolving. It does not include estimates for missing data or impairment levels and therefore needs further interpretation. This paper summarizes some of the complexities related to drug-involved driving, notes limitations of drug data collected in FARS, and presents challenges in interpreting, reporting, and analyzing the data.
Conscientiousness Predicts Performance on the Stroop Task but Not Other Attentional Control Tasks in Older and Younger Adults

The current study examined the relationships between attentional control (AC) and the Big Five personality traits. Older and younger adults (Mage = 38.62 years; Range = 18–90) completed a battery of behavioral attention tasks consisting of Stroop color naming, antisaccade, and operation span, which were designed to assess inhibition, goal maintenance, and working memory processes as a comprehensive assessment of AC. Participants then completed a set of personality scales including the NEO-FFI short form. Regression analyses revealed that Big Five personality scores were not related to the AC composite, but individual task relationships were found. Specifically, participants reporting greater Conscientiousness showed improved Stroop performance, but a Conscientiousness benefit did not extend to the other AC measures. No relationships emerged between other Big Five traits and AC. This work suggests potential cognitive benefits for Conscientiousness in older and younger adults and highlights a fruitful integration of personality and basic cognitive processes.
Flipped Classroom Approach and Motivation in the Acquisition of Practical Skills

This study examined the impact of flipped classrooms approach to learners’ motivation as well as the acquisition of practical skills in the electrical installation and maintenance subject Specifically, this study used the descriptive correlational research design with questionnaire as the basic data gathering tool. Furthermore, descriptive statistics were utilized to treat the data while Pearson-r correlation was employed to answer the study’s inferential questions and the effects among variables. The study revealed that learners can become more engaged, motivated, and capable of developing practical skills by employing a flipped classroom approach. In addition, the results further showed that learning process was improved with the use of this approach. Statistical tests proved the significant relationship between flipped classroom approach to motivation but not in the acquisition of practical skills. The results imply the potential benefit of flipped classroom in addressing student motivation in any subject.
Long-term prognostic analysis of children and adolescents with differentiated thyroid carcinoma based on therapeutic response to initial radioiodine therapy

Background The clinical features and prognosis of children and adolescents with differentiated thyroid carcinoma (caDTC) are different from that of adults. Postoperative radioiodine therapy (RIT) was recommended for some intermediate and high risk caDTC patients. The objective of this study was to evaluate the long-term prognosis of pediatric caDTC patients with different responses to initial RIT and to explore the related influencing factors. Methods All subjects were assigned to no clinical evidence of disease (NED) group, biochemical persistent disease (BPD) group, or structural/functional persistent disease (S/FPD) group based on the therapeutic response to initial RIT. Then, disease status was evaluated in all three groups at the last follow-up using ATA guidelines. Meanwhile, disease-free survival (DFS) for NED group and the progression-free survival (PFS) for the BPD and S/FPD groups were also assessed. Results 117 subjects were divided into NED group (n=29), BPD group (n=48) and S/FPD group (n=34) after initial RIT. At the last follow-up, excellent response (ER), indeterminate response (IDR), biochemically incomplete response (BIR) and structurally incomplete response (SIR) rates were 93.10%, 6.90%, 0% and 0% in NED group; 29.17%, 25.00%, 43.75% and 2.08% in BPD group; and 11.77%, 2.94%, 0%, and 85.29% in S/FPD group. The 5-year DFS rate in NED group was 95.5%. The 5-year PFS rates in BPD and S/FPD groups were 79.2% and 48.6%, respectively. For children with structural or functional lesions, longer PFS were found in male children with 131I-avid lesions, and post-operative stimulated serum thyroglobulin (sti-Tg) < 149.80 ng/ml. Conclusion The response to initial RIT could be helpful for defining subsequent treatment and follow-up strategies for caDTC patients. Post-operative sti-Tg and 131I-avidity of lesions are correlated with PFS.