Miracle-dz/UniFAR-FTUs huggingface dataset:
A Cloudware Architecture for Collaboration of Multiple AGVs in Indoor Logistics: Case Study in Fabric Manufacturing Enterprises

In Industry 4.0 compatible workshops, the demand for Automated Guided Vehicles (AGVs) used in indoor logistics systems has increased remarkably. In these indoor logistics systems, it may be necessary to execute multiple transport tasks simultaneously using multiple AGVs. However, some challenges require special solutions for AGVs to be used in industrial autonomous transportation. These challenges can be addressed under four main headings: positioning, optimum path planning, collision avoidance and optimum task allocation. The solutions produced for these challenges may require special studies that vary depending on the type of tasks and the working environment in which AGVs are used. This study focuses on the problem of automated indoor logistics carried out in the simultaneous production of textile finishing enterprises. In the study, a centralized cloud system that enables multiple AGVs to work in collaboration has been developed. The finishing enterprise of a denim manufacturing factory was handled as a case study and modelling of mapping-planning processes was carried out using the developed cloud system. In the cloud system, RestFul APIs, for mapping the environment, and WebSocket methods, to track the locations of AGVs, have been developed. A collaboration module in harmony with the working model has been developed for AGVs to be used for fabric transportation. The collaboration module consists of task definition, battery management-optimization, selection of the most suitable batch trolleys (provides mobility of fabrics for the finishing mills), optimum task distribution and collision avoidance stages. In the collaboration module, all the finishing processes until the product arrives the delivery point are defined as tasks. A task allocation algorithm has been developed for the optimum performance of these tasks. The multi-fitness function that optimizes the total path of the AGVs, the elapsed time and the energy spent while performing the tasks have been determined. An assignment matrix based on K nearest neighbor (k-NN) and permutation possibilities was created for the optimal task allocation, and the most appropriate row was selected according to the optimal path totals of each row in the matrix. The D* Lite algorithm has been used to calculate the optimum path between AGVs and goals by avoiding static obstacles. By developing simulation software, the problem model was adapted and the operation of the cloud system was tested. Simulation results showed that the developed cloud system was successfully implemented. Although the developed cloud system has been applied as a case study in fabric finishing workshops with a complex structure, it can be used in different sectors as its logistic processes are similar.
Audit Firm Culture: Recent Developments and Trends in the Literature

ABSTRACT This paper synthesizes research on audit firm culture (AFC) over the past decade, reviewing recent developments in research on factors instilling culture in audit firms, and how culture influences audit quality and auditors’ work attitudes. We develop and apply a three-phase model based on prior research and professional guidance (IAASB, 2014), which maps cultural embedding mechanisms (EMs, visible manifestations and organizational conditions to establish culture), perceptions of existing culture, and consequences of culture. Our synthesis shows that the culture of an audit firm is most oriented toward quality if leadership emphasizes professionalism over commercialism, promotes ethical judgments, and facilitates learning through systems, integration of specialists, and interpersonal interactions among auditors. The research cited shows strong influence on AFC of tone at the top set by leadership, as well as incentives in performance/reward systems. Studies we review generally imply continued concern for the influence of commercialism on AFC, but future research should investigate whether recent forces (i.e. pressure from regulators and efforts by the firms) have caused a cultural shift toward professionalism. We close by suggesting opportunities for future research that can strengthen understanding how AFC can be better managed by firms.
Evidence for energy coupling from the Si–D vibration mode to the Si–Si and Si–O vibration modes at the SiO2/Si interface

In order to verify Van de Walle and Jackson’s theory on the isotope effect of the Si–H/D bonds resistant to hot-electron excitation [C. G. Van de Walle and W. B. Jackson, Appl. Phys. Lett. , 69, 2441 (1996)], we measured the Si–H, Si–D, and other vibrational modes in the oxidized silicon wafers annealed in hydrogen and deuterium using Fourier-transform infrared (FTIR) spectrometry. Our FTIR data suggest that the frequency for the Si–D bending mode at the SiO2/Si interface is 490 cm−1. Our experimental data support Van de Walle and Jackson’s theory with some modification. Their theory is correct for the experiments of breaking Si–H/D bonds using scanning tunneling microscope where no oxide involves. In the SiO2/Si case, the de-excitation of the Si–D bond may be due to the energy coupling from the Si–D bending mode to two vibrational modes, i.e., Si–O TO mode and the Si–Si TO phonon mode. Van de Walle and Jackson only pointed out coupling to Si–Si TO phonon mode. The strongest coupling might happen between t.
Responses of Capsicum annuum Varieties toward Root Knot Nematode Meloidogyne incognita Infection

Chili pepper ( Capsicum annuum ) is one of the major vegetable commodities in Indonesia. One of the challenges in chili pepper cultivation is the infection of Meloidogyne incognita which causes gall formation in root systems. The purposes of this research were to determine 1. the response of four varieties of chili pepper against M. incognita infections; 2. damaged intensity caused by this pest in the root system, and; 3. development of M. incognita populations in root systems (rhizosphere). This research was conducted in Plant Pest Science Laboratory and Greenhouse of the Department of Crop Protection, Faculty of Agriculture, University of Gadjah Mada. This research included cultivation of three chili pepper varieties ( Cabai Merah Besar , Pilar F1; Cabai Merah Keriting , Kastilo F1; and Paprika, Red Star 2060), rearing of M. incognita , inoculation, and observation. Chili pepper respond to M. incognita infections were evaluated based on agronomic aspects of the plants, such as root histopathology observation, disease intensity, and nematode populations. Results showed that each variety of chili pepper expressed various responses to infections. All varieties had different root weight and length, but had similar sensitivity based on the appearance of root damage and egg mass scoring of M. incognita . Although nematode population could develop on roots, observation from root tissues showed lignification after infection of J2 M. incognita. Chili pepper var. Red Star 2060 was more susceptible against M. incognita than chili pepper var. Pilar F1 and chili pepper var. Kastilo F1.
Physico-chemical characterization of polyethylene glycol-conjugated betulinic acid

Betulinic acid (BA) is a naturally occurring plant pentacyclic triterpenoid with activity against cancer and infectious diseases like malaria and AIDS. Its pharmacological activity is limited by low aqueous solubility and bioavailability. Attempts have been made to improve the solubility of BA by conjugation to the water-soluble polymer polyethylene glycol (PEG) but with very limited physico-chemical characterizations. This work presents physico-chemical characterizations of a PEG-BA conjugate using 1H NMR spectroscopy, electron microscopy, DLS and XRD. The NMR data showed successful conjugation through the formation of an amide bond with a 5% drug loading although the appearance of some chemical shift signals were solvent-dependent. TEM images showed a spherical morphology of the conjugate with average diameter of 59.58±4.47 nm.
Utilization and Adherence to Guidelines Recommended for Use of Statins in the Management of Hypercholesterolemia and Their Cost Utility Analysis

Objective: The study was aimed to evaluate utilization and adherence to guidelines recommended in the use of statins for management of cholesterol and their cost utility analysis in a clinical setting in Saudi Arabia. Materials: A cross-sectional retrospective study was conducted in a private hospital in Saudi Arabia. World Health Organization (WHO) Defined Daily Dose (DDD) was used to compute the Daily price of each statins. Results: The utilization of statins is higher in males, Saudis and people with the age group 40-59 as compared to females or non-Saudis or other age groups. Over all, Atorvastatin was the most preferred statin therapy followed by Rosuvastatin, Simvastatin and Fluvastatin. The average cost unit wise was found to be highest for Atorvastatin SR 5.58 (USD 1.49) being lowest for Rosuvastatin SR 4.02 (USD1.07). Original Research Article Ali et al.; JPRI, 32(31): 34-39, 2020; Article no.JPRI . 62788 35 Conclusion: The study aimed to evaluate the use of statins for management of cholesterol is found to be consistent with international guidelines given by ACC/AHS. Our study suggests having further research to fully understand the barriers to guideline adherence to have improved utilization and considerably neutral cost effects of statins for all.
The Known and Overlooked Sides of Zeolite‐Extrudate Catalysts

Zeolite‐based catalysts play the essential roles in the production of fuel and commodity chemicals for the modern society. In general, the main component of zeolites powder has to be transformed into particular shapes in order to match the overall imperatives properties for the industrial applications. Shaping of zeolites catalysts was once only considered as the scale‐up or size‐enlarging processes of their innovated‐form. From the viewpoint of fundamental research, the shaping process was mainly defaulted as a mixing‐fabrication process at the macroscopic level without alterations to the intrinsic active sites at the molecular level. Such understandings have been already updated by a series of pioneering investigations by the innovative characterization techniques and methodologies. In the case of the zeolites extrudates, the mutual interactions among the binder, zeolite, and other functional additives, plus their consequences on the “new acidities” and porosities, have been unprecedentedly confirmed and visualized. Besides these significant achievements, the overlooked zeolites extrudates catalysts are related to the supported metal/metal oxide catalysts. This review further highlights the significant impacts of binders on the catalytic performance of zeolite‐based catalysts for the selected catalytic processes. The exemplary processes of hydrocarbon transformations (hydroisomerization and metathesis) show significant dependences on the introduction of binders, which are closely related with the “competitive effect” or “synergetic effect” in the dispersion or transformation of active sites for the reactions. The ever‐increasing disclosure of the overlooked sides may deepen and widen the understandings of the insights into the shaped zeolites catalysts.
What drives biodiversity patterns? Using long‐term multidisciplinary data to discern centennial‐scale change

Biodiversity plays an important role in ecosystem functioning, habitat recovery following disturbance and resilience to global environmental change. Long‐term ecological records can be used to explore biodiversity patterns and trends over centennial to multi‐millennial time‐scales across broad regions. Fossil pollen grains preserved in sediment over millennia reflect palynological richness and diversity, which relates to changes in landscape diversity. Other long‐term environmental data, such as fossil insects, palaeoclimate and archaeologically inferred palaeodemographic (population) data, hold potential to address questions about the drivers and consequences of diversity change when combined with fossil pollen records. This study tests a model of Holocene palynological diversity change through a synthesis of pollen and insect records from across the British Isles along with palaeodemographic trends and palaeoclimate records. We demonstrate relationships between human population change, insect faunal group turnover, palynological diversity and climate trends through the Holocene. Notable increases in population at the start of the British Neolithic (~6,000 calendar years before present [bp]) and Bronze Age (~4,200 bp) coincided with the loss of forests, increased agricultural activity and changes in insect faunal groups to species associated with human land use. Pollen diversity and evenness increased, most notably since the Bronze Age, as landscapes became more open and heterogeneous. However, regionally distinctive patterns are also evident within the context of these broad‐scale trends. Palynological diversity is correlated with population while diversity and population are correlated with some climate datasets during certain time periods (e.g. Greenland temperature in the mid‐late Holocene). Synthesis. This study has demonstrated that early human societies contributed to shaping palynological diversity patterns over millennia within the context of broader climatic influences upon vegetation. The connections between population and palynological diversity become increasingly significant in the later Holocene, implying intensifying impacts of human activity, which may override climatic effects. Patterns of palynological diversity trends are regionally variable and do not always follow expected trajectories. To fully understand the long‐term drivers of biodiversity change on regionally relevant ecological and management scales, future research needs to focus on amalgamating diverse data types, along with multi‐community efforts to harmonise data across broad regions.
Soil Management Systems to Overcome Multiple Constraints for Dryland Crops on Deep Sands in a Water Limited Environment on the South Coast of Western Australia

Deep sands on the south coast sandplain of Western Australia (WA) have multiple soil constraints including water repellence, high soil strength, low nutrient levels and subsoil acidity. The aim of the study was to test contrasting methods of managing water repellence and to assess their impacts on one or more soil constraints to crop production. These methods included seeding tyne design (knife point, winged points, paired row), soil wetting agent addition, strategic inversion tillage (rotary spading, mouldboard ploughing to 0.35 m) and clay-rich subsoil addition (170 t ha−1 with incorporation by spading to 0.20 or 0.35 m). Limesand (2 t ha−1) was applied as a split plot treatment prior to tillage. Cumulative crop yields were increased by 2.1–2.6 t ha−1 over five years by the strategic deep tillage and clay application treatments compared to the control. Water repellence was reduced by the inversion ploughing and subsoil clay addition treatments only. The effect of water repellence on crop establishment was expressed only in low rainfall years (Decile < 4) and mitigated by the paired row, wetting agent, spader and clay-amended treatments. In all years, plant numbers were adequate to achieve yield potential regardless of treatment. Soil K and plant tissue K and B were increased where clay had been applied. Inversion tillage reduced soil pH, organic carbon (OC) and macro nutrients in the 0–0.1 m layer although in most years there was no significant decline in plant tissue macro nutrient levels. Soil strength was reduced as a result of the inversion tillage to a depth of 0.35 m. However, the alleviation of soil strength and the crop yield responses diminished with time due to re-compaction. No crop response to the applied lime was found over five years at this site since the soil pHCaCl2 exceeded 4.7 within the root zone. In terms of soil constraints, we conclude that compaction was the dominant constraint at this site followed by water repellence and K deficiency.
Monte Carlo Simulation of the Effects of Molecular Motion on the EPR Spectrum of Nitroxide Free Radicals

We are concerned with the electron paramagnetic resonance (EPR) spectra of nitroxide free radicals in various molecular environments. These radicals may be described as a single electron interacting anisotropically with a nitrogen nucleus of spin 1 and an external magnetic field. We use exact and approximate solutions to the Hamiltonian to simulate spectra from oriented samples; we perform the orientation averages to obtain simulated polycrystalline spectra. We consider the effects of molecular motion on the system, and we develop a Monte Carlo scheme to evaluate the spectrum for a variety of tumbling rates. We compare the theoretical spectra so obtained with experimental spectra taken in solutions of varying rotational correlation time; excellent agreement is obtained. We estimate the rotational correlation time from the Monte Carlo parameters.
Pengaruh Promosi melalui Sosial Media dan Online Customer Reviews Terhadap Keputusan Pembelian

Penelitian ini bertujuan menguji pengaruh antara Promosi melalui Sosial Media dan Online Customer Reviews Terhadap Keputusan Pembelian ( Studi Kasus Marketplace Zomato pada Generasi Millenial di Kota Bogor ). Penelitian ini menggunakan variable independent yaitu Promosi melalui Sosial Media dan Online Customer Reviews. Variabel dependennya adalah Keputusan Pembelian. Data dalam penelitian ini merupakan data sekunder. Sampel penelitian ini adalah konsumen yang sudah membeli makanan dan minuman di restoran atau kafe melalui aplikasi Zomato. Sampel dilakukan dengan metode Hair et al sampling. Pengumpulan data dilakukan dengan kuisioner disebarkan langsung kepada konsumen yang telah membeli makanan dan minuman di restoran atau kafe melalui aplikasi Zomato sebanyak 130 responden. Metode statistic menggunakan analisis regresi linear berganda, dengan pengujian hipotesis uji statistik t. Hasil penelitian ini menjukan positif dan signifikan pada variable Promosi melalui Sosial Media dengan t-hitung lebih besar dari t-tabel (2,779>1,96) dan variabel Online Customer Reviews t-hitung lebih besar dari t-tabel (5,349>1,96). Kata Kunci : Promosi melalui Sosial Media, Online Customer Reviews, Keputusan Pembelian.
Optimisation of soya bean oil bleaching by ultrasonic processing and investigate the physico‐chemical properties of bleached soya bean oil

Summary In this study, an ultrasonic bleaching method for soya bean oil under different conditions was optimised by monitoring the reduction of oil-containing colourants. Ultrasonic power, clay content, temperature and time had a significant interaction effect on (P < 0.05) the reduction of oil pigments and colourants. Under optimised conditions, red and yellow colour indices in the ultrasound-bleached soya bean oil reduced to 74.44% and 75.55%, and 54.18% and 58.85%, respectively, at amplitudes of 85% and 65%. Carotenoid and chlorophyll concentrations also reduced to 81.19% and 83.62%, and 94.66% and 95.26%, respectively, at 85% and 65% ultrasonic power. The overall contents of sterols and tocopherols decreased using ultrasonic bleaching process compared with the neutralised soya bean oil. Although the peroxide value (PV) of the soya bean oil after ultrasonic and control bleaching reduced, this index was higher in the ultrasonic bleached oil than the control one. The results showed that the ultrasonic bleaching process could be an alternative to the industrial bleaching method as it reduced clay usage, temperature and time of bleaching about 35%, 35% and 10%, respectively.
An Artificial Neuron Using a Bipolar Electrochemical Metallization Switch and Its Enhanced Spiking Properties through Filament Confinement

Neural networks composed of artificial neurons and synapses mimicking the human nervous system have received much attention because of their promising potential in future computing systems. In particular, spiking neural networks (SNNs), which are faster and more energy‐efficient than conventional artificial neural networks, have recently been the focus of attention. However, because typical neural devices for SNNs are based on complementary metal‐oxide‐semiconductors that exhibit high consumption of power and require a large area, it is difficult to use them to implement a large‐scale network. Thus, a new structure should be developed to overcome the typical problems that have been encountered and to emulate bio‐realistic functions. This study proposes a versatile artificial neuron based on the bipolar electrochemical metallization threshold switch, which exhibits four requisite characteristics for a spiking neuron: all‐or‐nothing spiking, threshold‐driven spiking, refractory period, and strength‐modulated frequency. Furthermore, unique features such as an inhibitory postsynaptic potential and the bipolar switching characteristic for changing synaptic weight are realized. Additionally, by using a filament confinement technique, a high on/off ratio (≈6 × 107), a low threshold voltage (0.19 V), low variability (0.014), and endurance over 106 cycles are achieved. This research will serve as a stepping‐stone for advanced large‐scale neuromorphic systems.
Fiber-Optic Biosensor for the Detection of Atrazine: Characterization and Continuous Measurements

An optical fiber enzymatic biosensor was formed by immobilizing cells containing atrazine chlorohydrolase to the surface of a pH-sensitive optode. This enzyme catalyzes the dechlorination of atrazine, releasing hydrochloric acid and creating a signal response from the optode that was proportional to the atrazine concentration. Biosensors capable of quantitative and sensitive atrazine concentration measurements were developed using the atrazine chlorohydrolase of both Pseudomonas sp. ADP and Clavibacter michiganese sp. ATZ1. The biosensors based on both bacteria had a limit of detection of less than 1 ppb (validated using gas chromatography) and a linear range from 1 ppb to 100 ppb atrazine. Response times were a function of concentration and the source of enzyme, with a response time of 10 or 20 min for a 25 ppb atrazine solution. The performance of these sensors at various temperatures, pH values, and buffer capacities was also studied. The use of poly-L-lysine to increase the physical stability of biosensors containing Pseudomonas sp. ADP provided higher durability with no performance drawbacks. The atrazine biosensor was also used to measure atrazine concentrations in a soil column that was continuously fed a solution in which the atrazine concentration was increased or decreased. The atrazine biosensor provided continuous, in-situ measurements in the soil column, the first time that continuous biosensor measurements have been demonstrated in a soil system.
A Nano-Power 0.5 V Event-Driven Digital-LDO with Fast Start-Up Burst Oscillator for SoC-IoT

Towards the integration of Digital-LDO regulators in the ultra-low-power System-On-Chip Internet-of-Things architecture, the D-LDO architecture should constitute the main regulator for powering digital and mixed-signal loads including the SoC system clock. Such an implementation requires an in-regulator clock generation unit that provides an autonomous D-LDO design. In contrast to contemporary D-LDO designs that employ ring-oscillator architecture which start-up time is dependent on the oscillating frequency, this work presents a design with nano-power consumption, fabricated with an active area of 0.035 mm2 at a 55-nm Global Foundries CMOS process that introduces a fast start-up burst oscillator based on a high-gain stage with wake-up time independent of D-LDO frequency. In combination with linear search coarse regulation and asynchronous fine regulation, it succeeds 558 nA minimum quiescent current with CL 75 pF, maximum current efficiency of 99.2% and 1.16x power efficiency improvement compared to analog counterpart oriented to SoC-IoT loads.