Miracle-dz/UniFAR-FTUs huggingface dataset:
Increasing Tourism Image through the Tourism Marketing Development Program Implementation in Bandung City

This study describes the implementation of a marketing development program by the Culture and Tourism Office of Bandung City to increase the tourism destination image, which impacts the increasing number of tourist visits and local revenue. However, this program is different from what was expected. The research employs a qualitative approach and data collection methods using observation, interviews, documents, and literature studies. The research uses data analysis techniques with three stages: data condensation, data presentation, and conclusion and verification. The results of this study indicate that the implementation of the tourism marketing development program by the Culture and Tourism Office of Bandung has not been run optimally in terms of the program’s implementation elements and environmental factors. From the standpoint of the program overview, the budget and infrastructure facilities are still inadequate. From the implementation aspect, the process of implementation lacks employees, and cooperation with tourism partners has not gone well. Moreover, on the environmental part, many social issues still occur in the surrounding community that affects the implementation of the program.
Directly Using Ti3C2Tx MXene for a Solid-Contact Potentiometric pH Sensor toward Wearable Sweat pH Monitoring

The level of hydrogen ions in sweat is one of the most important physiological indexes for the health state of the human body. As a type of two-dimensional (2D) material, MXene has the advantages of superior electrical conductivity, a large surface area, and rich functional groups on the surface. Herein, we report a type of Ti3C2Tx-based potentiometric pH sensor for wearable sweat pH analysis. The Ti3C2Tx was prepared by two etching methods, including a mild LiF/HCl mixture and HF solution, which was directly used as the pH-sensitive materials. Both etched Ti3C2Tx showed a typical lamellar structure and exhibited enhanced potentiometric pH responses compared with a pristine precursor of Ti3AlC2. The HF-Ti3C2Tx disclosed the sensitivities of −43.51 ± 0.53 mV pH–1 (pH 1–11) and −42.73 ± 0.61 mV pH–1 (pH 11–1). A series of electrochemical tests demonstrated that HF-Ti3C2Tx exhibited better analytical performances, including sensitivity, selectivity, and reversibility, owing to deep etching. The HF-Ti3C2Tx was thus further fabricated as a flexible potentiometric pH sensor by virtue of its 2D characteristic. Upon integrating with a solid-contact Ag/AgCl reference electrode, the flexible sensor realized real-time monitoring of pH level in human sweat. The result disclosed a relatively stable pH value of ~6.5 after perspiration, which was consistent with the ex situ sweat pH test. This work offers a type of MXene-based potentiometric pH sensor for wearable sweat pH monitoring.
Reconstructing Long‐Term Forest Cover in China by Fusing National Forest Inventory and 20 Land Use and Land Cover Data Sets

As an important type of terrestrial carbon sink, forests play a critical role in offsetting anthropogenic fossil fuel CO2 emissions which should help nations to achieve carbon neutrality goals worldwide. According to National Forest Inventory (NFI), China has experienced substantial increases in forest cover by benefiting from national afforestation projects initiated in the l980s. However, none of the current land use and land cover (LULC) data sets can reproduce the long‐term changes of forest cover derived from NFI in China. Here, by combining NFI and 20 LULC data sets, we developed a new method of reconstructing historical forest cover in China from 1980 to 2015 at 5‐year intervals. The new forest cover data set can accurately reproduce the historical changes of forest cover in China during this period. Validated against 3851 field survey samples covering the study period of 1985–2015, the data sets show high accuracy with overall accuracy varying from 76.9% to 99.4%. Accurate long‐term forest cover maps have great potential for use in estimating terrestrial carbon, tracking forest management, and other scientific research studies.
Efficient Synthesis of Imine-Carboxylic Acid Functionalized Compounds: Single Crystal, Hirshfeld Surface and Quantum Chemical Exploration

Two aminobenzoic acid based crystalline imines (HMBA and DHBA) were synthesized through a condensation reaction of 4-aminobenzoic acid and substituted benzaldehydes. Single-crystal X-ray diffraction was employed for the determination of structures of prepared Schiff bases. The stability of super molecular structures of both molecules was achieved by intramolecular H-bonding accompanied by strong, as well as comparatively weak, intermolecular attractive forces. The comparative analysis of the non-covalent forces in HMBA and DHBA was performed by Hirshfeld surface analysis and an interaction energy study between the molecular pairs. Along with the synthesis, quantum chemical calculations were also accomplished at M06/6-311G (d, p) functional of density functional theory (DFT). The frontier molecular orbitals (FMOs), molecular electrostatic potential (MEP), natural bond orbitals (NBOs), global reactivity parameters (GRPs) and natural population (NPA) analyses were also carried out. The findings of FMOs found that Egap for HMBA was examined to be smaller (3.477 eV) than that of DHBA (3.7933 eV), which indicated a greater charge transference rate in HMBA. Further, the NBO analysis showed the efficient intramolecular charge transfer (ICT), as studied by Hirshfeld surface analysis.
Studying the Characteristics and Performance of a New Heterogeneous Catalyst Pre-templated Using Cu(II) Schiff Base Complex on reducing 4-nitrophenol.

: The conversion of nitro compounds to their corresponding amino compounds by reduction route is a significant chemical reaction from an industrial and environmental standpoint. In the present paper, copper Schiff base complex was successfully prepared from the reaction between (1, 1 -(pyridine-2,3-dimethyl imino methyl)naphthalene-2,2 –diol) and Cu(CH 3 COO) 2 salt. This was successfully characterized with different techniques and grafted over graphene oxide (GO) as support after functionalizing it via chemical grafting using aminopropyltriethoxysilane (APTES) as a linker to obtain the functionalized form (FGO). The new heterogeneous complex (CuMGO) was depicted using physicochemical and spectroscopic tools such as FT-IR, UV-Vis, SEM, XRD, Raman spectroscopy, and XPS. The results manifest that Cu(II) imine complex was successfully immobilized on GO. The resulting catalyst was used to reduce 4-nitrophenol (4-NP) to its corresponding amine 4-aminophenol (4-AP) at room temperature in case of using hydrazine hydrate as a reducing agent. It showed good activity with a percent of conversion (44.4%) and an apparent rate constant of 2.06 × 10-3 min-1 in about 130 min. The prepared catalyst can be recycled five times without losing its activity.
The Influence of Academic Self-Efficacy on University Students’ Academic Performance: The Mediating Effect of Academic Engagement

Challenges and competition are being faced in higher education. Students’ unsatisfactory academic performance and dropouts are obvious problems worldwide. The “student-centered” pedagogy requires universities to pay attention to the needs of students. Research has demonstrated that academic self-efficacy is a positive psychological variable in the prevention of students becoming academically burnt out and withdrawing from their studies. By increasing academic engagement and improving academic performance, academic self-efficacy can reduce the dropout rates. This study attempted to achieve an in-depth comprehension of the nexus between academic self-efficacy and academic achievement among university students and the mediating role of academic engagement in the association between the two. A total of 258 participants were included in the cross-sectional study. The relationships among academic self-efficacy, academic engagement, and academic performance were examined using Pearson correlation coefficients. In order to examine the intermediating role of academic engagement in the relationship between academic self-efficacy and academic performance, a mediation analysis was applied. A favorable and strong correlation among academic self-efficacy, academic engagement, and academic performance was found in this study. Academic self-efficacy can be a direct predictor of academic achievement and can also be an indirect predictor of academic achievement via the intermediating effect of academic engagement. The findings of this study provide theoretical and practical recommendations for university researchers and administrators. The findings confirm the mediating role of academic engagement between academic self-efficacy and academic performance. The results provide universities with evidence for use in the design of projects and programs for the improvement of students’ academic performance. Increasing the level of academic self-efficacy and enhancing academic engagement are of utmost importance for university students to maintain and improve their academic performance.
Patulin Alters Insulin Signaling and Metabolic Flexibility in HepG2 and HEK293 Cells

Non-communicable diseases (NCDs) have risen rapidly worldwide, sparking interest in causative agents and pathways. Patulin (PAT), a xenobiotic found in fruit products contaminated by molds, is postulated to be diabetogenic in animals, but little is known about these effects in humans. This study examined the effects of PAT on the insulin signaling pathway and the pyruvate dehydrogenase complex (PDH). HEK293 and HepG2 cells were exposed to normal (5 mM) or high (25 mM) glucose levels, insulin (1.7 nM) and PAT (0.2 μM; 2.0 μM) for 24 h. The qPCR determined gene expression of key enzymes involved in carbohydrate metabolism while Western blotting assessed the effects of PAT on the insulin signaling pathway and Pyruvate Dehydrogenase (PDH) axis. Under hyperglycemic conditions, PAT stimulated glucose production pathways, caused defects in the insulin signaling pathway and impaired PDH activity. These trends under hyperglycemic conditions remained consistent in the presence of insulin. These findings are of importance, given that PAT is ingested with fruit and fruit products. Results suggest PAT exposure may be an initiating event in insulin resistance, alluding to an etiological role in the pathogenesis of type 2 diabetes and disorders of metabolism. This highlights the importance of both diet and food quality in addressing the causes of NCDs.
The Modified DNA Identification Classification on Fuzzy Relation

We proposed a categorized method of DNA sequences matrix by FCM (fuzzy cluster means). FCM avoided the errors caused by the reduction of dimensions. It further reached comprehensive machine learning. In our experiment, there are 40 training data which are artificial samples, and we verify the proposed method with 182 natural DNA sequences. The result showed the proposed method enhanced the accuracy of the classification of genes from 76% to 93%.
A Novel Energy Management Method for Networked Multi-Energy Microgrids Based on Improved DQN

The networked Multi-Energy Microgrids (MEMGs) can significantly improve the economic efficiency of operation through energy cooperation and complementarity. However, the complex energy trading mechanism and multi-energy coupling decision process present various challenges for the optimal operation of MEMGs, such as the large decision space and the difficulty of converging to the global optimal solution. This study presents a novel energy management method for MEMG based on an improved Deep <inline-formula> <tex-math notation="LaTeX">${Q}$ </tex-math></inline-formula>-network (IDQN) to solve these problems. Firstly, the equivalent model of an external interactive environment is constructed for each MEMG by using a novel Kriging surrogate enhanced Gate Recurrent Unit-Temporal Convolutional Network (GRU-TCN), which requires only the accessible energy exchange data and the public and independent information as input. The computational complexity of the reinforcement learning reward function is reduced accordingly by using this equivalent model. Subsequently, an improved <inline-formula> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula>-crossover sampling strategy with reduced access frequency of the low reward actions is proposed to replace the traditional <inline-formula> <tex-math notation="LaTeX">$\varepsilon $ </tex-math></inline-formula>-greedy strategy to further improve the original DQN. This effectively addresses the problem of inefficient exploration in a large-scale action space. Lastly, the proposed method is verified using a test system with three MEMGs. The result demonstrates that the proposed IDQN method presents better convergence and stability than the traditional DQN, and presents better energy management and operational efficiency.
Use of Calixarenes Bearing Benzoyl Groups for the Adsorption of Heavy Metals Cations: Equilibrium and Kinetics Studies

This study aims to examine the potential of p-tert-butylkalix[4]arene derivatives, namely 5,11,17,23-tetra-tert-butyl-25,26,27,28-tetrahydroxy-calix[4]arene (TBCA), and 5,11,17,23-tetra-tert-butyl-25-monohydroxy-26,27,28-tribenzoyloxycalix[4]arene (TBMTCA) as adsorbent for metal cations, such as Pb(II) and Fe(III). The synthesized compounds were characterized using FT-IR and 1H-NMR spectroscopy. The adsorption studies were then carried out with contact time as a parameter, while the kinetics were evaluated using the Lagergren and Ho-McKay equations. The isotherms were analyzed using the Langmuir and Freundlich equations. For the kinetics of TBCA adsorbents, Pb(II) cations followed the Ho-McKay model, while Fe(III) was based on Lagergren. Furthermore, for the TBMTCA adsorbent, Pb(II) followed the Lagergren kinetic model, while Fe(III) was based on the Ho-McKay. The cation adsorption isotherms of Pb(II)-TBCA, Pb(II)-TBMTCA, Fe(III)-TBCA, and Fe(III)-TBMTCA are more in line with the Langmuir model. These results indicate that they can be used as heavy metal adsorbents, and recycled to increase their economic value.
On Optimizing Traffic Imbalance in Large-scale Block-based Cloud Storage: Trace Analysis and Algorithm Design

Cloud block storage (CBS) serves as the fundamental infrastructure of modern cloud computing services like the cloud disk service. Large-scale cloud block storage usually adopts a layered architecture, including a forwarding layer with a cluster of proxy servers as proxies to provide cloud disk abstraction, and a unified distributed storage engine providing persisted data storage. However, as all I/O traffics go through the proxy servers in the forwarding layer, there may be a severe traffic imbalance between the proxy servers, which finally degrades the performance of cloud disks. To investigate the traffic imbalance problem in the forwarding layer, we first conduct an in-depth analysis on the workload traces of a large-scale cloud block storage system in production. We find that both the traffic of individual cloud disks and the consolidated traffic of cloud disks at proxy servers are highly skewed and fluctuate violently and frequently at a fine-grained time granularity, and thus causing severe traffic imbalance. To address the traffic imbalance issue, we then develop a low-cost migration algorithm, weighted partial migration (WPM), and conduct simulation analysis via trace replay to study its effectiveness. Experiments under real-world workloads show that for 84.3% of clusters, WPM can make the imbalance factor be smaller than 3 (i.e., the maximum traffic at a proxy server is within 3$\times$ of the median traffic), with a very small migration cost by migrating only 0.1% segments.
Improved Bilinear Pooling With Pseudo Square-Rooted Matrix

Bilinear pooling is a feature aggregation step applied after the convolutional layers of a deep network and encodes a matrix of local features into a fixed-size bilinear representation. It improves performance in many image classification tasks. Since its emergence, this pooling has seen two major improvements: Compact Bilinear Pooling (CBP) and square-root normalization. Recently, the combination of these two elements has been widely studied. However, due to the lack of good normalization solutions, existing combination approaches showed less efficiency when they are plugged into different networks and less compatibility when they work with existing CBP techniques. To solve this problem, in this paper, we propose to apply Newton iterations, a fast square-root normalization method, to produce a new normalized matrix called pseudo square-rooted matrix. Subsequently, the new matrix allows a CBP technique to encode itself into a compact and normalized bilinear representation. In order to further accelerate the normalization process, our approach has two variants which can handle feature matrix extracted by different networks. Tested on three fine-grained image classification datasets, it provides competitive classification performance while consuming less computational time than other prior works.
Fundamental drift of parameters in chalcogenide phase change memory

We present the data on temporal (t) drift of parameters in chalcogenide phase change memory that significantly complement the earlier published results. The threshold voltage Vth and the amorphous state resistance R are shown to drift as ΔVth∝v ln t and R∝tα in broad intervals spanning up to nine decades in time; the drift coefficient v depends on glass parameters and temperature, but does not depend on device thickness. We have demonstrated that drift saturates at long enough times that can be shorten with temperature increase. All available data on drift dynamics are fully consistent with the classical double-well-potential model, which gives simple analytical expressions for the observed temporal dependencies including numerical parameters.
Sulfur Treatment for Schottky Barrier Reduction in metal/MoS2 contacts: A new Proposal for Contact Engineering on TMDs

Variability and lack of control in the nature of contacts between metal/MoS2 interface is a major bottleneck in the realisation of high-performance devices based on layered materials for several applications. In this letter, we report on the reduction in Schottky barrier height at metal/MoS2 interface by engineering the surface states through sulphur treatment. Electrical characteristics for back-gated MoS2 field effect transistor structures were investigated for two high work-function metal contacts Ni and Pd. Contacts on MoS2 treated with sulphur exhibited significant improvements in Ohmic nature with concomitant reduction in variability compared to those on untreated MoS2 films leading to a 2x increase in extracted mobility. X-ray Photoelectron Spectroscopy (XPS) measurements, Raman Spectroscopy and comparison of threshold voltages indicated absence of additional doping or structural changes due to sulphur treatment. The Schottky barrier heights were extracted from temperature-dependent transfer characteristics based on the thermionic current model. A reduction in barrier height of 80 and 135 meV extracted for Ni/MoS2 and Pd/MoS2 contacts respectively is hence attributed to the increase in surface states (or stronger Fermi level pinning) due to sulphur treatment. The corresponding charge neutrality levels at metal/MoS2 interface, were extracted to be 0.16 eV (0.17 eV) below the conduction band before (after) Sulphur treatment. This first report of surface states engineering in MoS2 leading to superior contacts is expected to significantly benefit the entire class of devices based on layered 2D materials.
The therapy capability framework and mapping process: perspectives of mental health clinical case managers

ABSTRACT Objective: The aim of this study was to investigate the utility of a workforce leadership initiative, the Therapy Capability Framework (TCF), designed to enhance the provision of evidence-informed psychosocial therapies by publicly funded mental health case managers. To understand the experiences and perceptions of ‘first-time users' of the TCF was conceived as an important first step to help guide service-wide implementation. Method: In 2018, a qualitative descriptive research methodology using two in-depth focus groups with frontline mental health clinicians in case management roles was adopted to explore their perceptions and experiences of the TCF and TCF Process across Metro South Addiction and Mental Health Services in Brisbane, Australia. An inductive approach to thematic analysis guided the generation of themes and subthemes. Results: Participants understood the purpose of the TCF; however, they identified several factors influencing their experience, including specific features of the framework; how it was used; and organisational, workforce, and leadership factors that restricted its potential utility and impact. Discussion: Clinicians reported the TCF as having the potential to facilitate incremental change in the existing case management model. This paper represents a phase of evaluation and continuous improvement of the TCF, which can assist publicly funded mental health leaders to augment the provision of evidence-informed psychosocial therapies.
Application of a Magnetic Platform in α6 Integrin-Positive iPSC-TM Purification

The emergence of induced pluripotent stem cell (iPSC) technology has provided a new approach to regenerating decellularized trabecular meshwork (TM) in glaucoma. We have previously generated iPSC-derived TM (iPSC-TM) using a medium conditioned by TM cells and verified its function in tissue regeneration. Because of the heterogeneity of iPSCs and the isolated TM cells, iPSC-TM cells appear to be heterogeneous, which impedes our understanding of how the decellularized TM may be regenerated. Herein, we developed a protocol based on a magnetic-activated cell sorting (MACS) system or an immunopanning (IP) method for sorting integrin subunit alpha 6 (ITGA6)-positive iPSC-TM, an example of the iPSC-TM subpopulation. We first analyzed the purification efficiency of these two approaches by flow cytometry. In addition, we also determined cell viability by analyzing the morphologies of the purified cells. To conclude, the MACS-based purification could yield a higher ratio of ITGA6-positive iPSC-TM and maintain a relatively higher cell viability than the IP-based method, allowing for the preparation of any iPSC-TM subpopulation of interest and facilitating a better understanding of the regenerative mechanism of iPSC-based therapy.
Conduction model of SnO2 thin films based on conductance and Hall effect measurements

Thin and porous SnO2 films (70nm thick with grain size between 10 and 30nm) have been prepared by e-beam evaporation onto alumina substrate provided with platinum electrodes. The Ohmic character of the contacts was preserved in all measurement conditions utilized for investigations. The dependence of electrical conduction on the composition of the ambient atmosphere has been studied by means of Hall and four point conductance measurements. The experiments were performed in different gas atmospheres containing N2, O2, and CO and at different operation temperatures (between room temperature and 420°C). A relatively low effective mobility (5–30cm2V−1s−1) and a high charge carrier effective concentration (1018–1019cm−3) were deduced when using the single crystals recipe, as required by the established models for granular materials. The analysis of these experimental data showed the inadequacy of the geometrical models and effective medium theories to correctly extract the electrokinetic parameters from conduc.