Miracle-dz/UniFAR-FTUs huggingface dataset:
Strategies to improve electrochemical performances of pristine metal‐organic frameworks‐based electrodes for lithium/sodium‐ion batteries

Metal‐organic frameworks (MOFs) have attracted considerable attention as promising next‐generation active electrode materials for lithium‐ion batteries (LIBs) or sodium‐ion batteries (SIBs) because of ultrahigh specific surface area, uniformly distributed pores, and tunable structure. However, there are some disadvantages inevitably far from meeting commercial requirements, such as low conductivity, inconvenient electron transmission, and unsatisfactory circulation stability. In this review, a comprehensive summary of MOFs‐based electrode materials is presented and discussed. First, the general Li+/Na+ storage mechanism in MOFs‐based electrode materials, including conversion‐ and insertion‐type reactions, are summarized with details of active inorganic/organic ligands. Second, MOFs as anode materials for LIBs/SIBs are emphasized and improved on the electrochemical performances. Furthermore, very few research literature on MOFs‐based cathode materials is also discussed. Finally, opinions and prospects on the current challenge of MOFs‐based electrode materials are provided for future research directions.
Investigating the Effects of Test Accommodations with Process Data for English Learners in a Mathematics Assessment

ABSTRACT Implementing a randomized controlled trial design, the present study investigated the effects of two types of accommodations, linguistic modification and a glossary, for English learners (ELs) taking a computer-based mathematics assessment. Process data including response time and clicks on glossary words were also examined to better interpret students’ interaction with the accommodations in the testing conditions. Regression and ANOVA analyses were performed with data from 513 students (189 ELs and 324 non-ELs) in Grade 9. No statistically significant accommodation effects were detected in this study. Process data revealed possible explanations (i.e., student engagement and glossary usage) for the nonsignificant results. Implications for future research on test accommodations for EL students are discussed.
ESTIMATION OF ACTIVE DRAG USING AN ASSISTED TOW OF HIGHER THAN MAX SWIM VELOCITYTHAT ALLOWS FLUCTUATING VELOCITY & VARYING TOW FORCE

The purpose of this study was to identify if an improved active drag profile could be obtained when estimating active drag using the A.I.S. method of assisted towing, if the tow velocity permitted intra stroke velocity fluctuations that were initiated by the propulsive actions of the swimmer, as opposed to using a tow of constant velocity. When the tow velocity did allow such fluctuations the active drag profile of the swimmer appeared to be less complicated and more accurately representative of the swimmer’s actual active drag profile than when a tow of constant velocity was used. There appeared to be very little difference in the active drag profile of the swimmer with a tow that incorporated the intra stroke velocity fluctuations, whether the mean velocities were used in the computation or whether the velocity parameters at the various intervals were used.
Numerical analysis of hydrodynamics influenced by deformed bed due to near-bank vegetation patch

This study with a 2D hydro-morphological model analyzes hydrodynamics over flat and deformed beds with a near-bank vegetation patch. By varying the patch density, the generalized results show that the hydrodynamics over deformed beds differs a lot from those over flat beds. It is found that the deformed bed topography leads to an apparent decrease in longitudinal velocity and bed shear stress in the open region and longitudinal surface gradient for the entire vegetated reach. However, the transverse flow motion and transverse surface gradient in the region of the leading edge and trailing edge is enhanced or maintained, suggesting the strengthening of secondary flow motion. Interestingly, the deformed bed topography tends to alleviate the horizontal shear caused by the junction-interface horizontal coherent vortices, indicating that the turbulence-induced flow mixing is highly inhibited as the bed is deformed. The interior flow adjustment through the patch for the deformed bed requires a shorter distance, La, which is related to the vegetative drag length, (Cda)−1, with a logarithmic formula (La = 0.4ln[(Cda)−1] + b, with b = 3.83 and 4.03 for the deformed and flat beds). The tilting bed topographic effect in the open region accelerating the flow may account for the quick flow adjustment.
PRE- AND POST-IMPACT BALL AND RACQUET CHARACTERISTICS DURING TENNIS SERVES PERFORMED BY ELITE MALE AND FEMALE PLAYERS

This study quantified the pre- and post-impad 3-D kinematics of a tennis ball and racquet. Data were collected during the tennis competition of the 1996 Atlanta Olympic Games using two high-speed cameras (200 Hz). Two first serves were analysed for each subject. A one-way ANOVA for the factor of sex (p < .05) was performed for each parameter. The results indicate that, regardless of sex, the ball travelled forward and to the lefl during the flight phase before impact and the ball was hit near the peak height of the racquet. The males had significantly higher height of ball impact, greater pre-impad racquet velocity and greater post-impact ball velocity than their female counterparts. It is not certain whether the techniques used by males and females contributed to the differences in racquet speed observed.
TEACHERS’ TURNOVER INTENTIONS: ROLE OF HRM PRACTICES IN PUBLIC SECONDARY SCHOOLS IN KENYA

ABSTRACT Employees play a key role in the achievement of organizations’ objectives and thus every organization endeavors to ensure employee retention. However, as the organization endeavors to do this, they are faced with the challenge of employees’ turnover intentions. Although it has been suggested that Human Resource Management (HRM) practices may affect employees’ turnover intentions, the extent of this effect has been inconsistent in previous studies. Moreover, literature on HRM practices and turnover intentions in Kenyan context is limited hence prompting this research. The study thus sought to investigate the effect of compensation, career management, performance appraisal and training on turnover intentions of teachers in public secondary schools in Murang’a county Kenya. The study had its basis on Social exchange, Organization equilibrium and Expectancy confirmatory theories. The target population was 3752 Teachers Service Commission (TSC) teachers in 304 public secondary schools in Murang’a county Kenya. A two multi stage random sampling method was applied to select a sample size of 40 schools and 400 teachers. A self-administered semi-structured questionnaire and interview guide were data collection tools. The study used descriptive statistics and logistic regression and content analysis for data analysis. The study findings indicated that compensation and training significantly influenced turnover intentions while career development and performance appraisal insignificantly influenced public secondary schools’ teachers’ turnover intentions in Murang’a county Kenya. Policy implications of study findings have been discussed.
Multiple airflow patterns in human microenvironment and the influence on short-distance airborne cross-infection – A review

The global spread of the coronavirus disease 2019 (COVID-19) has increased the demand of effective control of the disease transmission between people, especially when they are in close distance between each other. The microenvironment between the people in short distance contains multiple airflow patterns that directly affect the disease transmission. By understanding and respecting this special localized environment, the airborne cross-infection at both short and long distance can be minimized. This paper gives an overview of the flow fields in human microenvironment. The exhalation flow from different respiratory activities, e.g. normal breathing, speaking, coughing or sneezing is considered as a part of the microenvironment. The dynamics of the exhalation flow and the contained droplets or aerosols are summarized from previous studies. The factors influencing the flow fields in human microenvironment are discussed, including both the physiological factors of the occupants and the environmental factors in the ventilated context (macroenvironment). Effective control of these influencing factors can be helpful to mitigate airborne transmission risk between individuals. This paper highlights the importance of better understanding of the dynamics and transmission routes of the expelled virus-laden droplets or aerosols, which are largely affected by complex flow interactions in human microenvironment.
Dynamics of immunotherapy antitumor models with impulsive control strategy

In this paper, using the methods of killing tumors and impulsive differential equations, two immunotherapy antitumor models for describing therapies of general tumors and advanced solid tumors are established. By using the theories of impulsive equations, small amplitude perturbation techniques, and the comparison technique, we obtain the conditions which guarantee the global asymptotical stability of the tumor‐eliminated periodic solution and system permanence, when immunotherapy alone is performed. The numerical results of the influences of the impulsive perturbation on the inherent oscillation show rich dynamics, such as period‐doubling bifurcation and chaos. Moreover, the effects of the combination of radiotherapy with immunotherapy on antitumor are obtained, including the threshold value of stability conditions of tumor‐eradication periodic solution when the mixed combination treatment of immunotherapy and radiotherapy is performed. Some numerical simulations for the effects of the timing of radiotherapy application and the timing of injection T cells on the threshold value are performed. Finally, we present some theoretical methods for suppressing the growth of tumors.
Effects of Physical Exercise Program on Physical Mobility of Patients with Cranial Surgery

Objective: This research aimed to study the effects of a physical exercise program on physical mobility in cranial surgery patients.Materials and Methods: The researcher used a quasi-experimental method of surveying 58 patients who had cranial surgery at Siriraj Hospital. The research group was divided into two groups: an experimental group (28 patients) participating in a physical exercise program of patients after cranial surgery, and a control group (30 patients) receiving routine nursing care only. The evaluation of the patients’ physical mobility was performed three days after the surgery.Results: Most patients in the research group had an intracranial tumor (86.2%). One day after the surgery, the experimental group had minor pain at the wound site while the control group had moderate pain. Both groups felt discomfort (64.2%) or had muscle stiffness in the neck and shoulder areas (63.3%). Three days after the surgery, at the end of the program, the body movement function of both groups was reduced compared with the preoperative data. However, the experimental group showed better body movement function scores than the control one as the scores of the former were reduced less than those of the latter at p < 0.05. Conclusion: Nurses who provide health care services to patients after cranial surgery should apply the physical exercise program to promote the recovery of the patients’ physical mobility.
MOSFET effective channel length, threshold voltage, and series resistance determination by robust optimization

MOSFET parameters, such as effective channel length, series resistance, and channel mobility, are important for process control and device design. These parameters are typically obtained from intercepts and slopes of plots of intermediate quantities, such as peak transconductance, derived from I-V data. Commonly, the intercept of a plot is found by extrapolation. However, the extrapolation process is sensitive to measurement errors. In addition, the plots often show nonlinear behavior, hence slopes and intercepts cannot be determined accurately. It is shown how these problems can be overcome by using a nonlinear optimization procedure to determine those MOSFET parameters, by explicitly identifying them as the parameters of a simple, widely used MOSFET model that is a good approximation in the triode region of operation. The results of five tests of robustness and accuracy that show that the method is significantly more accurate and robust than a number of other methods are presented. >
An Efficient Scheme for Coupling OpenMC and FLUENT with Adaptive Load Balancing

This paper develops a multi-physics interface code MC-FLUENT to couple the Monte Carlo code OpenMC with the commercial computational fluid dynamics code ANSYS FLUENT. The implementations and parallel performances of block Gauss–Seidel-type and block Jacobi-type Picard iterative algorithms have been investigated. In addition, this paper introduces two adaptive load-balancing algorithms into the neutronics and thermal-hydraulics coupled simulation to reduce the time cost of computation. Considering that the different scalability of OpenMC and FLUENT limits the performance of block Gauss–Seidel algorithm, an adaptive load-balancing algorithm that can increase the number of nodes dynamically is proposed to improve its efficiency. Moreover, with the natural parallelism of block Jacobi algorithm, another adaptive load-balancing algorithm is proposed to improve its performance. A 3 x 3 PWR fuel pin model and a 1000 MWt ABR metallic benchmark core were used to compare the performances of the two algorithms and verify the effectiveness of the two adaptive load-balancing algorithms. The results show that the adaptive load-balancing algorithms proposed in this paper can greatly improve the computing efficiency of block Jacobi algorithm and improve the performance of block Gauss–Seidel algorithm when the number of nodes is large. In addition, the adaptive load-balancing algorithms are especially effective when a case demands different computational power of OpenMC and FLUENT.
Prognostic significance of HOXD4 protein expression in human ovarian cancers

Objective(s): Ovarian cancer is the most common gynecological malignancy, ranking as the fifth leading cause of cancer-related deaths among females in the United States. Homeobox D4 (HOXD4) is a transcription factor belonging to the homeobox protein family, which plays a critical role in morphogenesis during embryo development. Here we aimed to study the HOXD4 expression in ovarian serous carcinoma (OSC) and determine its clinical significance. Materials and Methods: Real-time quantitative PCR and immunohistochemistry targeting human OSC tissues and adjacent ovarian tissues were performed to correlate the patterns of HOXD4 expression with clinical characteristics and survival outcomes. Cell lines and nude mice were used for verifying the role of HOXD4 in OSC. Results: HOXD4 protein was predominantly expressed in OSC tissues compared with nontumorous tissues. The correlation test demonstrated a significant correlation between HOXD4 with tumor FIGO stage. Univariate and multivariate analyses found that HOXD4 expression was associated with poorer overall survival. Furthermore, high expression of HOXD4 protein was observed in OSC cell lines in vitro. Finally, the oncogenic effect of HOXD4 was confirmed by cellular and xenograft experiments. Conclusion: HOXD4 protein expression may be associated with a poorer prognosis in OSC. The unfavorable prognostic value of HOXD4 in malignancies and its underlying mechanism are worthy of further investigation.
Brain network topology and personality traits: A source level magnetoencephalographic study

Personality neuroscience is focusing on the correlation between individual differences and the efficiency of large‐scale networks from the perspective of the brain as an interconnected network. A suitable technique to explore this relationship is the magnetoencephalography (MEG), but not many MEG studies are aimed at investigating topological properties correlated to personality traits. By using MEG, the present study aims to evaluate how individual differences described in Cloninger's psychobiological model are correlated with specific cerebral structures. Fifty healthy individuals (20 males, 30 females, mean age: 27.4 ± 4.8 years) underwent Temperament and Character Inventory examination and MEG recording during a resting state condition. High harm avoidance scores were associated with a reduced centrality of the left caudate nucleus and this negative correlation was maintained in females when we analyzed gender differences. Our data suggest that the caudate nucleus plays a key role in adaptive behavior and could be a critical node in insular salience network. The clear difference between males and females allows us to suggest that topological organization correlated to personality is highly dependent on gender. Our findings provide new insights to evaluate the mutual influences of topological and functional connectivity in neural communication efficiency and disruption as biomarkers of psychopathological traits.
Neurofeedback Rehabilitation Reduces Anxiety in Methamphetamine Abusers

Addictive disorders are characterized by cognitive, behavioral, and neurological impairments caused by dysregulations of brain structure that can extend well beyond early withdrawal in the months and years of recovery. The present study aimed to examine the efficacy of neurofeedback rehabilitation on anxiety in methamphetamine abusers. The sample consisted of 14 male methamphetamine drug addicts who were randomly assigned to an experimental group (n = 7) and a control group (n = 7). Participants were assessed for Axis I disorders (SCID) and the Beck Anxiety Inventory (BAI). Mixed repeated ANOVA, independent t-tests, and chi-square were used for data analysis. The experimental group received 18 sessions of neurofeedback rehabilitation and standard psychological interventions treatment as usual, while the control group received only standard interventions. Results showed that neurofeedback significantly reduced anxiety in methamphetamine abusers at posttreatment and during a one-month follow-up. Along with other psychological interventions, neurofeedback rehabilitation is recommended for methamphetamine abusers.
The Decrease In The Anxiolytic Effect of Morphine After Repeated Use of The Drug In Rats is Associated With Inflammatory Cytokine Signaling Pathways In The Prefrontal Cortex

We aim to examine anxiety-like behaviors and expression of specific genes complicated in neuroinflammation in the prefrontal cortex (PFC) after repeated use of morphine. A group of male Wistar rats received injections of morphine (10 mg/kg) twice a day for eight days while a control group received saline (1 ml/kg) instead of morphine. On days 1 and 8, anxiety-like behaviors were evaluated using a light/dark box test. On day 8, opioid dependence was confirmed by measuring the behavioral expression of morphine withdrawal precipitated with naloxone. Expression of neuroinflammation genes were also evaluated at mRNA levels in the PFC on day 8. The results revealed that morphine induced anxiolytic-like effects on day 1, which significantly decreased after the repeated injection of the drug on day 8. The results also revealed that repeated morphine injection significantly increased the mRNA level of Il1, Tnfα, and Il6 but decreased Il1r and Tnfr while increased Il6r in the PFC. The gene expression results also revealed a significant decrease in Tlr1 but not in Tlr4 in the PFC of morphine-dependent rats. Although Erk1 expression had no significant alteration but p38 increased and Jnk3 decreased significantly in the PFC in morphine-dependent rats. Creb and Nfkb significantly increased but Fos expression decreased. Let-7c, mir-133b, and mir-365 also significantly increased in the PFC in morphine-dependent rats. We conclude that the alteration in neuroinflammatory pathways at gene expression level in the PFC may party underlie neuroadaptive changes leading to the decrease in anxiolytic effect of morphine in dependent rats.
Technology-Assisted, Group-Based CBT for Rural Adults’ Depression: Open Pilot Trial Results

Purpose: This pilot study assesses the association of Raising Our Spirits Together (ROST), a technology-assisted, group-based cognitive behavioral therapy for depression, with rural adults’ depressive symptoms and anxiety. Method: Nine adults from rural Michigan participated in an open pilot of ROST. Clergy facilitated pilot groups. The pilot began in February 2020 in-person. Due to COVID-19, the pilot was completed virtually. Results: Mean depressive symptom scores, based on the PHQ-9, significantly decreased from pre-treatment (M = 14.4) to post-treatment (M = 6.33; t (8) = 6.79; P < . 001). Symptom reduction was maintained at 3-month follow-up (M = 8.00), with a significant pattern of difference in depressive symptoms over time (F(2) = 17.7; P < . 001; eta-squared = . 689). Similar patterns occurred for anxiety based on the GAD-7. Participants attended an average of 7.33 of 8 sessions. Fidelity ratings were excellent. Discussion: ROST is a potentially feasible intervention for rural adults’ depressive symptoms. ROST offers a promising model for increasing treatment access and building capacity in rural areas.
Sublimation Origin of Negative Deuterium Excess Observed in Snow and Ice Samples From McMurdo Dry Valleys and Allan Hills Blue Ice Areas, East Antarctica

The oxygen and hydrogen isotopic composition in snow and ice have long been utilized to reconstruct past temperatures of polar regions, under the assumption that post‐depositional processes such as sublimation do not fractionate snow. In low‐accumulation (<0.01 m yr−1) areas near the McMurdo Dry Valleys in Antarctica, surface snow and ice samples have exceptionally low deuterium excess values (d‐excess ≡ δD – 8*δ18O)—sometimes as negative as −5‰—an uncommon phenomenon that is not fully understood. Here we use both an isotope‐enabled general circulation model and an ice physics model and establish that such exceptionally low d‐excess values can only arise from precipitation if the majority of the moisture is sourced from the Southern Ocean (south of 55°S). However, the model results show that moisture sourced from oceans north of 55°S contributes significantly (>50%) to precipitation in Antarctica today. We thus propose that sublimation must have occurred to yield the low d‐excess values in snow observed in and near the Dry Valleys, and that solid‐phase‐diffusion in ice grains is sufficiently fast to allow Rayleigh‐like isotopic fractionation in similar environments. We calculate that under present‐day conditions at the Allan Hills outside the Dry Valleys, 3%–24% of the surface snow is lost due to sublimation. Because the magnitude of sublimation may be nonstationary (i.e., it could vary in time) during past cold periods, we suggest that sublimation‐induced fractionation can alter the relationship between the snow isotopic composition and polar temperatures.