Miracle-dz/UniFAR-FTUs huggingface dataset:
PENERAPAN SHARIAH ONLINE TRADING SYSTEM DALAM MENGHASILKAN INFORMASI AKUNTANSI: STUDI PADA GELERI INVESTASI SYARIAH DI PROVINSI KALIMANTAN BARAT

Abstrak Penelitian ini bertujuan untuk mengetahui Penerapan SOTS didalam menghasilkan Informasi Akuntansi. Metode penelitian yang digunakan adalah kualitatif. Objek penelitian adalah Penerapan SOTS didalam menghasilkan Informasi Akuntansi. Sumber data yaitu, Manajemen GIS FEBI IAIN Pontianak, Manajemen MNC Securitas, Para Investor. Data primer yaitu dari hasil wawancara dengan para informan sedangkan data sekunder, adalah teori dari buku, jurnal, pendapat para pakar, serta data dan informasi dari media bonafite. Teknik analisis data yaitu: Data Collection ; Data Condensation ; Display Data; dan Conclution Drawing. Hasil penelitian ini adalah terkait dengan efisiensi, bahwa SOTS yang digunakan masih belum efisien, karena proses transaksi yang dilakukan masih memerlukan waktu yang cukup lama misalnya dalam pembuatan account investor dari bank yang ditunjuk. Terkait accessibility (kemudahan akses), masih belum memudahkan pengguna, misalnya masih belum ada menu Bahasa Indonesia, sehingga belum memudahkan pengguna didalam mendapatkan informasi dan juga dalam hal melakukan transaksi dan terkait dengan integration (integrasi), masih diperlukan peningkatan terintegrasi dan harmonis di dalam SOTS. Diperlukan SDM yang mempunyai kompetensi yang bersertifkasi yang mampu memberikan informasi yang jelas dan lengkap kepada nasabah dan calon nasabah serta dapat menjalankan SOTS secara profesional, Masih terdapat perbedaan antara aplikasi SOTS yang ada di tampilan Komputer dengan tampilan aplikasi SOTS yang ada di Smartphone . Dalam hal relevance informasi yang dihasilkan sudah relevan. Terkait accuracy, informasi yang dihasilkan sudah cukup mencerminkan keadaan yang sebenarnya. Terkait timelines, informasi transaksi yang diinginkan sudah cukup memadai pada saat diperlukan. Didalam hal Complete, informasi yang diperolah pengguna sudah cukup lengkap. Kata Kunci: Shariah Online Trading System, Informasi Akuntansi
Dark tourism and World Heritage Sites: a Delphi study of stakeholder perceptions of the development of dark tourism products

ABSTRACT Dark tourism has attracted increasing academic attention, but the extent to which it exists as a separate form of tourism from heritage tourism is not yet clear. Despite the growth of UNESCO World Heritage Site designations, little research has considered the relationship between dark tourism and World Heritage Sites. Because the development of dark tourism is beset with ethical concerns, heritage professionals can have negative perceptions about the acceptability or attractiveness of it for the sites that they are involved in managing. This research used a qualitative Delphi Panel method to evaluate stakeholder perceptions of the potential development of dark tourism to the Greenwich Maritime World Heritage Site in London, United Kingdom. The findings show that stakeholders are broadly supportive of tourism to the site and positive about future tourism growth. Despite this, they did not support the development of dark tourism to the site because it was perceived as inauthentic, tacky and sensationalist. In order to address this issue, recommendations are made that future attempts to develop dark tourism at WHS should involve enhancing the knowledge of stakeholders about dark tourism, and of the resources within their sites that could be included in a dark tourism offer to tourists.
Effect of the Menstrual Cycle When Estimating 1 Repetition Maximum From the Load-Velocity Relationship During the Bench Press Exercise

Abstract García-Pinillos, F, Lago-Fuentes, C, Bujalance-Moreno, P, and Pérez-Castilla, A. Effect of the menstrual cycle when estimating 1 repetition maximum from the load-velocity relationship during the bench press exercise. J Strength Cond Res 36(3): e55–e58, 2022—This study aimed to examine the effect of the ovulatory menstrual cycle (MC) when estimating the 1 repetition maximum (1RM) from the individual load-velocity relationship during the bench press (BP) exercise. Nine resistance-trained eumenorrheic women (age: 28.7 ± 3.6 years) were tested in 3 different phases across the MC: menstrual or early follicular phase (i.e., testing between days 1–3), follicular or late follicular phase (i.e., testing between days 7–10), and luteal or mid-luteal phase (i.e., testing between days 19–21). Each testing trial consisted of an incremental loading protocol against 4 loading conditions (≈50-70-80-90% 1RM) in the concentric-only BP exercise. A smartphone application (MyLift) was used to collect the mean velocity (MV) of all repetitions. The 1RM was estimated from the individual load-velocity relationship by applying a linear regression model as the load associated with an MV of 0.17 m·s−1. In addition, the MV obtained at each %1RM (i.e., from 20% 1RM to 80% 1RM in 20% increments), the load-velocity slope (i.e., the decrease in MV per each 1% of increment in the %1RM), and the y-intercept (i.e., the estimate of MV at 0% 1RM) were computed from the individual load-velocity relationships. No significant differences were observed between the 3 phases of the MC for any of the measured load-velocity relationship parameters (corrected p-value ≥0.495; effect size ≤0.24). The results suggest that the estimation of the BP 1RM from the load-velocity relationship seems not to vary over the 3 different phases of the MC (i.e., menstrual, follicular, and luteal phases).
Ultrasonic Cleaner Powered by Efficient Utilization of Solar Power

To drive an Ultrasonic cleaner on Solar PV array rated at 18V which utilizes the power coming from the solar panel as efficiently as possible a Boost converter coupled with a Parallel resonant inverter is presented in the paper. A Lithium-Ion battery 36V rated at 3.5Ah is charged by the boost converter and its output is fed to the Parallel Resonant Inverter and the battery parameters like voltage current and the State of Charge(SOC) are to be monitored. The simulation is carried out to achieve a 120 watts output power that is used to drive the transducer placed on the cleaner's floor bed. The output obtained at the end of the Parallel resonant inverter can be used by Ultrasonic cleaning applications. The switching stress and losses get reduced due to the implementation of a parallel resonant inverter. This, in turn, increases the efficiency of the circuit.
A Case Study on the Influence of First Language Syntax (L1) in Writing English (L2) Essays among Form Two Secondary Students

English language is one of the most important and second language after Bahasa Melayu, which is also a national language in Malaysia. Writing in English language is one of the most difficult skills for Malaysian students, especially if they do not have a good proficiency in the language. Objective of this study is to identify L2 (English) syntax transferred negatively and positively from L1 (Bahasa Melayu) in writing English (L2) essays among Form Two secondary school students. The design of this study is a qualitative which is appropriate to identify the phenomena. The data collection instruments were document analysis and interview. To execute this study, 20 writing samples were chosen from low proficiency level of students. They were instructed to write about 100 word essays on a given topic in English language. The syntax was later corroborated and compared to substantiate the theoretical arguments in the field of language transfer. From the findings, it was found that first language highly interferes in students' English language writing skills. In addition, it was found that the sample employed a translation method although they understand the significance of English language worldwide. To conclude, more actions should be taken in order to teach contrastive analysis for a better understanding of the differences in the syntax between Bahasa Melayu and English language.
Benchmarking PASADENA Consensus along the Learning Curve of Robotic Radical Cystectomy with Intracorporeal Neobladder: CUSUM Based Assessment

(1) Aim: Robot assisted radical cystectomy (RARC) with intacorporeal neobladder (iN) is a challenging procedure. There is a paucity of reports on RARC-iN, the extracorporeal approach being the most used. The aim of our study was to assess the learning curve of RARC-iN and to test its performance in benchmarking Pasadena consensus outcomes. (2) Material and methods: The single-institution learning curve of RARC-iN was retrospectively evaluated. Demographic, clinical and pathologic data of all patients were recorded. Indications to radical cystectomy included muscle invasive bladder cancer (pT ≥ 2) or recurrent high grade non muscle invasive bladder cancer. The cumulative sum (CUSUM) technique, one of the methods developed to monitor the performance and quality of the industrial sector, was adopted by the medical field in the 1970s to analyze learning curves for surgical procedures. The learning curve was evaluated using the following criteria: 1. operative time (OT) <5 h; 2. 24-h Hemoglobin (Hb) drop <2 g/dl; 3. severe complications (according to the Clavien classification system) <30%; 4. positive surgical margins <5%; and 5. complete lymph-node dissection defined as more than 16 nodes. Benchmarking of all five items on quintile analysis was tested, and a failure rate <20% for any outcome was set as threshold. (3) Results: the first 100 consecutive RARC-iN patients were included in the analysis. At CUSUM analysis, RARC required 20 cases to achieve a plateau in terms of operative time (defined as more than 3 consecutive procedures below 300 min). Hemoglobin drop, PSM and number of removed lymph-nodes did not change significantly along the learning curve. Overall, 41% of the patients presented at least one complication. Low-grade and high-grade complication rates were 30% and 17%, respectively. When assessing the benchmarks of all five Pasadena consensus outcomes on quintile analysis, a plateau was achieved after the first 60 cases. (4) Conclusions: RARC-iN is a challenging procedure. The potential impact of the learning curve on significant outcomes, such as high grade complications and positive surgical margins, has played a detrimental effect on its widespread adoption. According to this study, in tertiary referral centers, 60 procedures are sufficient to benchmark all outcomes defined in Pasadena RARC consensus.
Optical coherence tomography measurement of capillary filling in porous silicon

The use of nanoporous structures with known morphology allows studying the properties of fluids in conditions of strong spatial confinement. Alternatively, the capillary filling of nanoporous structures with simple fluids provides information on their morphology. When a liquid enters the porous structure there is an increase in the optical path of the porous layer, and measuring this optical path as a function of position and time allows evaluating the filling dynamics of the pores. In this work, we determined the capillary filling dynamics of nanostructured porous silicon (PS) by optical coherence tomography. The high spatial resolution of this technique allows one not only to follow the position of the liquid front as a function of time but also to resolve in detail the filling fraction profile of the liquid front inside the PS matrix. Moreover, these profiles contain information about the pore size distribution in the PS structure. Therefore, we show how the determination and analysis of the filling fraction profile along the advancing liquid front can be used as a method to study the pore size distribution inside PS structures.
Tracing the evolution of morphology and mixing state of soot
particles along with the movement of an Asian dust storm

Abstract. Tracing the aging progress of soot particles during transport is highly challenging. An Asian dust event could provide an ideal opportunity to trace the continuous aging progress of long-range transported soot particles. Here, we collected individual aerosol particles at an inland urban site (T1) and a coastal urban site (T2) in China and a coastal site (T3) in southwestern Japan during an Asian dust event. Microscopic analysis showed that the number fraction of soot-bearing particles increased from 19 % to 22 % from T1 to T2 in China but surprisingly increased to 56 % at T3 in Japan. The dominant fresh soot (71 %) at T1 became partially embedded (70 %) at T2 and fully embedded (84 %) at T3. These results indicated that the soot particles had lower deposition than other aerosol types and became more aged from T1 to T3. The fractal dimension of the soot particles slightly changed from 1.74 at T1 and 1.78 at T2 but significantly became 1.91 at T3. We found that the soot morphology compressed depending on secondary coating thickness and relative humidity. Moreover, we observed a unique mixing structure at T3 that tiny soot particles were seemly broken from large ones cross the East China Sea and distributed in organic coatings instead of sulfate core in particles. Our study provide important constraints of the morphological effects to better understand changes of microscopic structures of soot. These new findings will be helpful to improve optical calculation and modeling of soot particles and their regional climate effects in the atmosphere.
Facile Synthesis of Tin Dioxide Nanoparticles for Photocatalytic Degradation of Congo Red Dye in Aqueous Solution

This research work reports an approach used to prepare a SnO2 photocatalyst by precipitation and calcination pathways and describes an investigation of the effects of preparation parameters on SnO2 yield. The SnO2 photocatalyst was further used for the photocatalytic degradation of Congo red (CR) dye, and the removal efficiency was optimized using response surface methodology. The results indicate that the SnO2 photocatalyst yield was the highest in 0.05 M of the precursor, stannous chloride and 28 wt % ammonia as the precipitant, pH 10, at 30 °C. The transmission electron microscopy results of the SnO2 photocatalyst illustrate that the average particle size was mainly around 30–50 nm and had a solid spherical shape. The X-ray diffraction results reveal that the prepared sample had a highly crystalline SnO2 rutile crystal structure. The prediction and experimental results of the Response surface methodology (RSM) indicate that, when the reaction time was 97 min, the operating temperature was 47 °C, the photocatalyst dosage was 751 mg/L, and the optimal degradation rate of the CR dye was 100%. After five consecutive photodegradation reactions, the degradation rate remained at 100%. The results demonstrated that the SnO2 photocatalyst prepared in this study possesses excellent reusability.
Sustainability of Green Tourism among International Tourists and Its Influence on the Achievement of Green Environment: Evidence from North Cyprus

Sustainability of green tourism is gaining more attention from different stakeholders due to its environmental benefits. However, empirical studies on the behavioral aspect of the tourists towards sustainability of green tourism and its influence on the achievement of the green environment have not been exhaustively researched, most especially in a small island state like North Cyprus. In this paper, we investigate the behavioral aspects of international tourists towards the sustainability of green tourism employing an extended framework of the theory of planned behavior (TPB). A sample of 395 questionnaires was administered to the tourists that lodged at the 20 randomly selected five-star hotels in North Cyprus, while the study model was examined through structural equation modelling (SEM). Our study findings indicated that tourists’ perceptions of the sustainability of green tourism and their environmental concerns had a significantly positive impact on their attitudes. In addition, our results revealed that subjective norms had a significantly negative impact on intentions of the tourists to participate in sustainability of green tourism, while attitude was found to have a significantly positive impact on the tourists’ intentions to participate in the sustainability of green tourism. Moreover, we found that both environmental concerns and the intention of the tourists to participate in the sustainability of green tourism had a significantly positive impact on environmentally responsible tourism behavior. Lastly, our study contributes to enhancing the understanding of the perception of tourists on the green environment as it affects their behavior and subsequent influence on their intention to participate in the sustainability of green tourism with the attendant impact on the achievement of environmental degradation reduction.
Spring Barrier to the MJO Eastward Propagation

The Maritime Continent (MC) often exerts barrier effect on the eastward propagation of the Madden‐Julian Oscillation (MJO), and the strongest (weakest) effect occurs in spring (winter). After passing over the MC, the MJO slightly weakens by approximately 10% in winter and it sharply decays by more than 50% in spring. The physics for this spring barrier are understood from the perspective of the frictionally coupled Kelvin‐Rossby wave theory. In spring, the abrupt reduction in the boundary layer moisture convergence that occurs at the MC causes the decoupling of the Kelvin‐Rossby wave packet associated with the MJO: Kelvin waves emit from the major convection, while Rossby wave component rapidly decays in the Indian Ocean. An intermediate atmospheric model involving both the fundamental dynamics of the frictionally coupled Kelvin‐Rossby wave theory and the mean states confirms that the spring barrier is determined primarily by the mean surface moisture, particularly by its zonal distribution.
Fault diagnosis based on deep learning by extracting inherent common feature of multi-source heterogeneous data

Fault diagnosis can provide a basic guarantee for safe operation of industrial equipment. Deep learning has attracted much attention from experts in the field of fault diagnosis because of its powerful feature representation ability. But traditional deep learning methods cannot well extract common feature from multi-source heterogeneous data which is the inherent character of the monitored object. Using only one kind of heterogeneous data for deep learning fault diagnosis will inevitably result in poor diagnosis accuracy. Aiming at this problem, this article proposes a deep common feature extraction method by designing a fusion network with alternating optimization mechanism. The rough features extracted independently from two kinds of heterogeneous data are used to train the designed fusion network in an alternative optimization way. A new loss function required by alternative optimization is established; thus, all the networks can be tuned globally. The deep common features of multi-source heterogeneous data can be well extracted by alternating optimization training process of the fusion network, which improves the accuracy of deep learning fault diagnosis method. Experiments for rolling bearings fault diagnosis testify the effectiveness of the proposed algorithm.
Cathode process in nickel-cobalt alloy deposition from sulfamate electrolytes : Application to electroforming

Electroforming is a specialized application of electroplating for the production of finished components and unique articles that cannot be made by any other method. Sulfamate electrolytes for Ni-Co deposition form highly efficient and stable solutions, but their wide use for electroforming has been hampered by the fact that the mechanism of Ni +2 and Co +2 codeposition is as yet imperfectly understood. Study was made of the effect of electrolyte composition and operating conditions on the Ni-Co alloy constitution and the mechanism of its electrodeposition. It was shown that the Faradaic efficiency of the deposition is characterized by a complicated dependence on pH with a maximum of 98.5 percent at pH 3.5 to 3.8. The concentration of cobalt in the deposit decreases by as much as five to seven percent for a pH rise from 2 to 5.2. A minor increase of cobalt concentration in the electrolyte is followed by a steep rise in the cobalt content of the alloy. At a ratio of cobalt to nickel of 0.1, the alloy contains 45 percent cobalt; at equal cation concentrations, the alloy contains 73 percent Co. This is because of the faster kinetics of Co +2 reduction. By rotating-disk-electrode and chronopotentiometric methods, it was demonstrated that the rate-determining step of alloy deposition is the electrochemical reaction, complicated by adsorption. It is believed that the codeposition of Ni +2 and Co +2 is explained by the formation of heteronuclear surface complexes with sulfamate anion as the bidentate ligand. The alloy structure and physical and mechanical properties, such as hardness, internal stress, tensile strength, elongation and thermal stability were also studied. An optimum was found between alloy characteristics and operating conditions. Parts having complex shapes (molds, miniature nozzles and other electronic and aircraft components) were produced by Ni-Co electroforming.
Assessing the Effects of Anti-corruption Law on Entrepreneurial Finance: Evidence from Latin America

Corruption normally causes distrust among investors and can negatively affect investments. Particularly in Latin America, decline of investments is one of the most significant problems. In such a context, anti-corruption laws can both fight corruption and promote business, restoring investors’ trust. In this article, we ask whether the introduction of an anti-corruption framework affecting both the public and private spheres is able to increase investors’ confidence in a new form of investment, that is, equity crowdfunding. By using a unique database, with combined information from different platforms in Brazil, Chile and Mexico, we study the population of 492 projects between 2013 and 2017. Implementing a set of linear probability regressions, we find that the new Mexican anti-corruption law has increased the probability of success of equity crowdfunding projects in this country, compared to Brazilian and Chilean projects, suggesting the existence of a causal relation between anti-corruption rules and investments in a highly perceived corrupt environment further characterised by a low level of investor protection. JEL Classification: G23, G28, K22, L26