Miracle-dz/UniFAR-FTUs huggingface dataset:
Host-Community Readiness Towards Tourism Reactivity: Young People's Perspectives in Greater Bandung

Tourism during the pandemic became an actual study topic, the majority of which were studied in terms of changes in tourist behaviour. Plethora studies changes in tourist behaviour selfishly view tourism for the benefit of tourists alone. In contrast, this study examines the readiness factors of community hosts in receiving visits and plays a role in the tourism value chain during the pandemic. Using 310 young respondents living in Indonesia's urban tourism destinations (Greater Bandung), the study confirmed the perceptual factors forming host community readiness. Using SEM-PLS, the study has found that perceptions of internal conditions by the community have a significant impact on the perception of tourism reactivation and the readiness of community hosts. The research model has been able to moderately predict the readiness of community hosts in tourism during the pandemic. Several recommendations were submitted in this study for tourism stakeholders to prepare community hosts in their efforts to achieve successful tourism reactivation.
Protein Arginine Methyltransferase 1 Ablation in Motor Neurons Causes Mitochondrial Dysfunction Leading to Age-related Motor Neuron Degeneration with Muscle Loss

Neuromuscular dysfunction is tightly associated with muscle wasting that occurs with age or due to degenerative diseases. However, the molecular mechanisms underlying neuromuscular dysfunction are currently unclear. Recent studies have proposed important roles of Protein arginine methyltransferase 1 (Prmt1) in muscle stem cell function and muscle maintenance. In the current study, we set out to determine the role of Prmt1 in neuromuscular function by generating mice with motor neuron-specific ablation of Prmt1 (mnKO) using Hb9-Cre. mnKO exhibited age-related motor neuron degeneration and neuromuscular dysfunction leading to premature muscle loss and lethality. Prmt1 deficiency also impaired motor function recovery and muscle reinnervation after sciatic nerve injury. The transcriptome analysis of aged mnKO lumbar spinal cords revealed alterations in genes related to inflammation, cell death, oxidative stress, and mitochondria. Consistently, mnKO lumbar spinal cords of sciatic nerve injury model or aged mice exhibited elevated cellular stress response in motor neurons. Furthermore, Prmt1 inhibition in motor neurons elicited mitochondrial dysfunction. Our findings demonstrate that Prmt1 ablation in motor neurons causes age-related motor neuron degeneration attributing to muscle loss. Thus, Prmt1 is a potential target for the prevention or intervention of sarcopenia and neuromuscular dysfunction related to aging.
Programming Language Identification in Stack Overflow Post Snippets with Regex Based Tf-Idf Vectorization over ANN

: Software Question-Answer (SQA) sites such as Stack Overflow (SO) comprise a significant portion of a developer’s resource for knowledge sharing. Owing to their mass popularity, these SQA sites require an appropriate tagging mechanism to better facilitate discussion among users. An intrinsic part of predicting these tags is predicting programming languages of the code segments associated with the questions. Usually, state of art models such as BERT and embedding-based algorithms such as word2vec are preferred for the text classification task, however, in the case of code snippets that are different from natural language in both syntactic as well as semantic composition, embedding techniques might not yield as precise results as traditional methods. To this predicament, we propose a regex-based tf-idf vectorization approach followed by chi-square feature reduction over an ANN classifier. Our method achieves an accuracy of 85% over a corpus of 232,727 stack overflow code snippets which surpasses several baselines.
Record, Recall, Reflect: A Qualitative Examination of Compassion Fatigue in Toronto Zoo Staff

This study explored Toronto Zoo animal-care professionals’ (ACPs) experiences with compassion fatigue (CF) using a two-phase participatory methodology. In phase one, 11 participants took photographs of their workplace. In phase two, participants told the story behind their photographs through one-on-one interviews. The data were analyzed using NVivo12 software. The participants’ experiences with compassion fatigue stemmed from issues with foundational infrastructure at the Toronto Zoo. Specifically, the participants highlighted issues related to training, staffing, and resource availability and discussed their resultant effect on animal welfare. The participants described the importance of built and sustained trust in their jobs, both with each other and with the non-human animals under their care. While the Zoo’s motto is “One TZ”, the participants noted conflict between the public’s perception of the Toronto Zoo and how the organization cares for its staff. The additive effects of mental and physical exhaustion have led to disengagement from activities that once brought joy and difficulty staying focused while at work and home. The findings will enable the Toronto Zoo to provide comprehensive mental health support for their staff and allow participants, researchers, partner organizations, and the general public to discover more about compassion fatigue in the hope that the lessons learned will last a lifetime.
Frustration and Anger Mitigation After Service Failure: The Effect of Other Consumer’s Explanation and Employee’s Explanation on Frustration and Anger After the Service Failure

Purpose Based on the attribution and appraisal theories of emotion, this study investigates whether a consumer’s frustration and anger after a service failure reduces in different ways after hearing explanations from different sources (other customer vs employee vs none) under different blame attribution circumstances (situational vs service provider), and its subsequent influence on complaining intention. Methods In Study 1, valid data from 239 participants (46.9% female, Mage=35.6 years) were used to test the interaction effect of the explanation source and blame attribution on frustration and anger. In Study 2, using valid answers from 253 students at Korea University (57.9% female, Mage=20.9 years), Study 1 was replicated and, in addition, tested the moderated mediating impact on complaining intention. The overall theoretical model was tested with ANOVA and Hayes process model 8. Results When blame attribution was situational, the employee’s explanation did not mitigate either frustration or anger, whereas the other customer’s explanation mitigated frustration but not anger. In contrast, when blame attribution was towards the service provider, the employee’s explanation mitigated both frustration and anger, whereas the other customer’s explanation mitigated only frustration. In addition, the mitigation of frustration and anger by other customers subsequently led to a decrease in complaining intention, which was stronger and only significant when blame attribution was situational. However, only anger acted as a mediator between the employee’s explanation and complaining intention, which did not vary according to blame attribution. Conclusion The results of the study advance the current knowledge on informational support as a service recovery process by suggesting the crucial role of other consumers in mitigating the target customer’s frustration, especially under situational service failure, which successively leads to a decrease in complaining intention, whereas the employee’s explanation decreases complaining intention only through the mitigation of anger.
Assessment of Microhardness of Conventional and Bulk-Fill Resin Composites Using Different Light-Curing Intensity

(1) Background: This study evaluates the effect of a conventional/low-voltage light-curing protocol (LV protocol) (10 s with 1340 mW/cm2) and high-voltage light-curing protocol (HV protocol) (3 s with 3440 mW/cm2) on the microhardness (MH) of dental resin-based composites (RBCs). Five resin composites were tested: conventional Evetric (EVT), Tetric Prime (TP), Tetric Evo Flow (TEF), bulk-fill Tetric Power Fill (PFL), and Tetric Power Flow (PFW). (2) Materials and Methods: Two tested composites (PFW and PFL) were designed for high-intensity light curing. The samples were made in the laboratory in specially designed cylindrical molds; diameter = 6 mm and height = 2 or 4 mm, depending on the type of composite. Initial MH was measured on the top and bottom surfaces of composite specimens 24 h after light curing using a digital microhardness tester (QNESS 60 M EVO, ATM Qness GmbH, Mammelzen, Germany). The correlation between the filler content (wt%, vol%) and the MH of the RBCs was tested. For the calculation of depth-dependent curing effectiveness, the bottom/top ratio for initial MH was used. (3) Conclusions: MH of RBCs is more dependent on material composition than on light-curing protocol. Filler wt% has a greater influence on MH values compared to filler vol%. The bottom/top ratio showed values over 80% for bulk composites, while for conventional sculptable composites, borderline or suboptimal values were measured for both curing protocols.
The Exact Solitary Wave Solution for the Klein-Gordon-Schrdinger Equations

The solitary wave solutions for the Klein_Gordon_Schrdinger Equations were obtained by using the homogeneous balance principle. The form of the solutions is more generalized than the result that has been proved by pure theoretical and qualitative method in literature; namely, the form of solutions in literature is a particular case of result of the present paper.
Analyzing model robustness via a distortion of the stochastic root: A Dirichlet prior approach

It is standard in quantitative risk management to model a random vector 𝐗:={Xtk}k=1,. ,d${\mathbf {X}:=\lbrace X_{t_k}\rbrace _{k=1,\ldots ,d}}$ of consecutive log-returns to ultimately analyze the probability law of the accumulated return Xt1+⋯+Xtd${X_{t_1}+\cdots +X_{t_d}}$. By the Markov regression representation (see [25]), any stochastic model for 𝐗${\mathbf {X}}$ can be represented as Xtk=fk(Xt1,.,Xtk-1,Uk)${X_{t_k}=f_k(X_{t_1},\ldots ,X_{t_{k-1}},U_k)}$, k=1,. ,d${k=1,\ldots ,d}$, yielding a decomposition into a vector 𝐔:={Uk}k=1,. ,d${\mathbf {U}:=\lbrace U_{k}\rbrace _{k=1,\ldots ,d}}$ of i.i. d. random variables accounting for the randomness in the model, and a function f:={fk}k=1,. ,d${f:=\lbrace f_k\rbrace _{k=1,\ldots ,d}}$ representing the economic reasoning behind. For most models, f is known explicitly and Uk may be interpreted as an exogenous risk factor affecting the return Xtk in time step k. While existing literature addresses model uncertainty by manipulating the function f, we introduce a new philosophy by distorting the source of randomness 𝐔${\mathbf {U}}$ and interpret this as an analysis of the model's robustness. We impose consistency conditions for a reasonable distortion and present a suitable probability law and a stochastic representation for 𝐔${\mathbf {U}}$ based on a Dirichlet prior. The resulting framework has one parameter c∈[0,∞]${c\in [0,\infty ]}$ tuning the severity of the imposed distortion. The universal nature of the methodology is illustrated by means of a case study comparing the effect of the distortion to different models for 𝐗${\mathbf {X}}$. As a mathematical byproduct, the consistency conditions of the suggested distortion function reveal interesting insights into the dependence structure between samples from a Dirichlet prior.
Acute resistance exercise-induced changes in IL-6, IL-10, and IL-1ra in healthy adults: a systematic review and meta-analysis.

Background: Myokines, released from the contracting muscle, enable communication between the working muscles and other tissue. Their release during physical exercise is assumed to depend on mode, duration, and intensity. Objective: The aim is to examine the acute changes in circulating levels of the myokines IL-6, IL-10, and IL-1ra induced by a bout of resistance exercise and to consider potential moderators of the results. Methods: Systematic literature search was conducted for resistance exercise intervention studies measuring IL-6, IL-10, or IL-1ra before and immediately after resistance exercise in healthy individuals. Random effects meta-analysis was performed for each myokine. Results: A small to moderate positive effect of resistance exercise for IL-6 and a moderate to large positive effect for IL-1ra were detected. This could not be shown for IL-10. No moderators of the results were detected. Conclusion: This systematic review and meta-analysis clearly showed the immediate positive effects of an acute resistance exercise session on IL-6 and IL-1ra levels.
Spectroscopic properties and radiation damage investigation of a diamond based Schottky diode for ion-beam therapy microdosimetry

In this work, a detailed analysis of the properties of a novel microdosimeter based on a synthetic single crystal diamond is reported. Focused ion microbeams were used to investigate the device spectropscopic properties as well as the induced radiation damageeffects. A diamond based Schottky diode was fabricated by chemical vapor deposition with a very thin detecting region, about 400 nm thick (approximately 1.4 μm water equivalent thickness), corresponding to the typical size in microdosimetric measurements. A 200 × 200 μm2 square metallic contact was patterned on the diamond surface by standard photolithography to define the sensitive area. Experimental measurements were carried out at the Ruder Boskovic′ Institute microbeam facility using 4 MeV carbon and 5 MeV silicon ions. Ion beam induced charge maps were employed to characterize the microdosimeter response in terms of its charge collection properties. A stable response with no evidence of polarization or memory effects was observed up to the maximum investigated ion beam flux of about 1.7 × 109 ions·cm−2·s−1. A homogeneity of the response about 6% was found over the sensitive region with a well-defined confinement of the response within the active area. Tests of the radiation damageeffect were performed by selectively irradiating small areas of the device with different ion fluences, up to about 1012 ions/cm2. An exponential decrease of the charge collection efficiency was observed with a characteristic decay constant of about 4.8 MGy and 1 MGy for C and Si ions, respectively. The experimental data were analyzed by means of GEANT4 Monte Carlo simulations. A direct correlation between the diamond damaging effect and the Non Ionizing Energy Loss (NIEL) fraction was found. In particular, an exponential decay of the charge collection efficiency with an exponential decay as a function of NIEL is observed, with a characteristic constant of about 9.3 kGy-NIEL for both carbon and silicon ions.
Development of convolutional neural network model for diagnosing osteochondral lesions of the talus using anteroposterior ankle radiographs

Deep learning is an advanced machine learning technique that is used in several medical fields to diagnose diseases and predict therapeutic outcomes. In this study, using anteroposterior ankle radiographs, we developed a convolutional neural network (CNN) model to diagnose osteochondral lesions of the talus (OLTs) using ankle radiographs as input data. We evaluated whether a CNN model trained on anteroposterior ankle radiographs could help diagnose the presence of OLT. We retrospectively collected 379 cases (OLT cases = 133, non-OLT cases = 246) of anteroposterior ankle radiographs taken at a university hospital between January 2010 and December 2020. The OLT was diagnosed using ankle magnetic resonance images of each patient. Among the 379 cases, 70% of the included data were randomly selected as the training set, 10% as the validation set, and the remaining 20% were assigned to the test set to evaluate the model performance. To accurately classify OLT and non-OLT, we cropped the area of the ankle on anteroposterior ankle radiographs, resized the image to 224 × 224, and used it as the input data. We then used the Visual Geometry Group Network model to determine whether the input image was OLT or non-OLT. The performance of the CNN model for the area under the curve, accuracy, positive predictive value, and negative predictive value on the test data were 0.774 (95% confidence interval [CI], 0.673–0.875), 81.58% (95% CI, 0.729–0.903), 80.95% (95% CI, 0.773–0.846), and 81.82% (95% CI, 0.804–0.832), respectively. A CNN model trained on anteroposterior ankle radiographs achieved meaningful accuracy in diagnosing OLT and demonstrated that it could help diagnose OLT.
Low-Density Lipoprotein Receptor LRP-2 regulates GLR-1 glutamate receptors and glutamatergic behavior in C. elegans

We identified the Low-Density Lipoprotein (LDL) Receptor Related Protein-2 (LRP-2) in a RNAi screen for genes that regulate glutamatergic behavior in C. elegans . lrp-2 loss-of-function mutants have defects in glutamatergic mechanosensory nose-touch behavior and suppress increased spontaneous reversals induced by GLR-1(A/T), a constitutively-active form of the AMPA-type glutamate receptor GLR-1. Total and surface levels of GLR-1 are increased throughout the ventral nerve cord of lrp-2 mutants suggesting that LRP-2 promotes glutamatergic signaling by regulating some aspect of GLR-1 trafficking, localization or function.
RWD-derived response in multiple myeloma

Real-world data (RWD) are important for understanding the treatment course and response patterns of patients with multiple myeloma. This exploratory pilot study establishes a way to reliably assess response from incomplete laboratory measurements captured in RWD. A rule-based algorithm, adapted from International Myeloma Working Group response criteria, was used to derive response using RWD. This derived response (dR) algorithm was assessed using data from the phase III BELLINI trial, comparing the number of responders and non-responders assigned by independent review committee (IRC) versus the dR algorithm. To simulate a real-world scenario with missing data, a sensitivity analysis was conducted whereby available laboratory measurements in the dataset were artificially reduced. Associations between dR and overall survival were evaluated at 1) individual level and 2) treatment level in a real-world patient cohort obtained from a nationwide electronic health record-derived de-identified database. The algorithm’s assignment of responders was highly concordant with that of the IRC (Cohen’s Kappa 0.83) using the BELLINI data. The dR replicated the differences in overall response rate between the intervention and placebo arms reported in the trial (odds ratio 2.1 vs. 2.3 for IRC vs. dR assessment, respectively). Simulation of missing data in the sensitivity analysis (-50% of available laboratory measurements and -75% of urine monoclonal protein measurements) resulted in a minor reduction in the algorithm’s accuracy (Cohen’s Kappa 0.75). In the RWD cohort, dR was significantly associated with overall survival at all landmark times (hazard ratios 0.80–0.81, p<0.001) at the individual level, while the overall association was R2 = 0.67 (p<0.001) at the treatment level. This exploratory pilot study demonstrates the feasibility of deriving accurate response from RWD. With further confirmation in independent cohorts, the dR has the potential to be used as an endpoint in real-world studies and as a comparator in single-arm clinical trials.
Long-Term Exposure to Ambient Air Pollution and Mortality among Four Million COVID-19 Cases in Italy: The EpiCovAir Study

Background: The role of chronic exposure to ambient air pollutants in increasing COVID-19 fatality is still unclear. Objectives: The study aimed to investigate the association between long-term exposure to air pollutants and mortality among 4 million COVID-19 cases in Italy. Methods: We obtained individual records of all COVID-19 cases identified in Italy from February 2020 to June 2021. We assigned 2016–2019 mean concentrations of particulate matter (PM) with aerodynamic diameter ≤10μm (PM10), PM with aerodynamic diameter ≤2. 5μm (PM2.5), and nitrogen dioxide (NO2) to each municipality (n=7,800) as estimates of chronic exposures. We applied a principal component analysis (PCA) and a generalized propensity score (GPS) approach to an extensive list of area-level covariates to account for major determinants of the spatial distribution of COVID-19 case–fatality rates. Then, we applied generalized negative binomial models matched on GPS, age, sex, province, and month. As additional analyses, we fit separate models by pandemic periods, age, and sex; we quantified the numbers of COVID-19 deaths attributable to exceedances in annual air pollutant concentrations above predefined thresholds; and we explored associations between air pollution and alternative outcomes of COVID-19 severity, namely hospitalizations or accesses to intensive care units. Results: We analyzed 3,995,202 COVID-19 cases, which generated 124,346 deaths. Overall, case–fatality rates increased by 0.7% [95% confidence interval (CI): 0.5%, 0.9%], 0.3% (95% CI: 0.2%, 0.5%), and 0.6% (95% CI: 0.5%, 0.8%) per 1 μg/m3 increment in PM2.5, PM10, and NO2, respectively. Associations were higher among elderly subjects and during the first (February 2020–June 2020) and the third (December 2020–June 2021) pandemic waves. We estimated ∼8% COVID-19 deaths were attributable to pollutant levels above the World Health Organization 2021 air quality guidelines. Discussion: We found suggestive evidence of an association between long-term exposure to ambient air pollutants with mortality among 4 million COVID-19 cases in Italy. https://doi.org/10.1289/EHP11882
The effect of foot-stretcher position and stroke rate on ergometer rowing kinematics

Rowing ergometers are popular tools for general fitness and competitive crew teams. The effect of the equipment set up on the rowing stroke has received limited attention. This study aimed to determine the effects of altering the foot-stretcher position on rowing kinematics across different stroke rates. Eleven college-level rowers took part in this study. A rowing ergometer was modified to allow the height and angle of the foot-stretcher to be adjusted. Seven foot-stretcher positions were tested, each at rates of 22, 26, and 32 strokes per minute. Sagittal plane kinematic waveforms were compared between conditions for all major joints using statistical parametric mapping, and temporal variables were assessed (p < 0.05). Stroke rate was found to affect kinematic patterns for all joints. The effect of the foot-stretcher position was limited to the ankle and hip. Similarly, the timing of events during the rowing stroke was affected by the stroke rate, but not foot position. These results indicate that while some limited changes to the stroke technique can be caused by altering the foot-stretcher position, the changes were largely compensated for by the rowers and are generally smaller than differences between stroke rates.